Respiratory rate is the most accurate vital sign for predicting adverse outcomes in ward patients.^1,2 Though other vital signs are typically collected by using machines, respiratory rate is collected manually by caregivers counting the breathing rate. However, studies have shown significant discrepancies between a patient’s respiratory rate documented in the medical record, which is often 18 or 20, and the value measured by counting the rate over a full minute.³ Thus, despite the high accuracy of respiratory rate, it is possible that these values do not represent true patient physiology. It is unknown whether a valid automated measurement of respiratory rate would be more predictive than a manually collected respiratory rate for identifying patients who develop deterioration. The aim of this study was to compare the distribution and predictive accuracy of manually and automatically recorded respiratory rates.

In this prospective cohort study, adult patients admitted to one oncology ward at the University of Chicago from April 2015 to May 2016 were approached for consent (Institutional Review Board #14-0682). Enrolled patients were fit with a cableless, FDA-approved respiratory pod device (Philips IntelliVue clResp Pod; Philips Healthcare, Andover, MA) that automatically recorded respiratory rate and heart rate every 15 minutes while they remained on the ward. Pod data were paired with vital sign data documented in the electronic health record (EHR) by taking the automated value closest, but prior to, the manual value up to a maximum of 4 hours. Automated and manual respiratory rate were compared by using the area under the receiver operating characteristic curve (AUC) for whether an intensive care unit (ICU) transfer occurred within 24 hours of each paired observation without accounting for patient-level clustering.

In this prospective cohort study, we found that manual respiratory rates were different than those collected from an automated system and, yet, were significantly more accurate for predicting ICU transfer. These results suggest that the predictive accuracy of respiratory rates documented in the EHR is due to more than just physiology. Our findings have important implications for the risk stratification of ward patients.

Though previous literature has suggested that respiratory rate is the most accurate predictor of deterioration, this may not be true.¹ Respiratory rates manually recorded by clinical staff may contain information beyond pure physiology, such as a proxy of clinician concern, which may inflate the predictive value. Nursing staff may record standard respiratory rate values for patients that appear to be well (eg, 18) but count actual rates for those patients they suspect have a more severe disease, which is one possible explanation for our findings. In addition, automated assessments are likely to be more sensitive to intermittent fluctuations in respiratory rate associated with patient movement or emotion. This might explain the improved accuracy at higher rates for manually recorded vital signs.

Although limited by its small sample size, our results have important implications for patient monitoring and early warning scores designed to identify high-risk ward patients given that both simple scores and statistically derived models include respiratory rates as a predictor.⁴ As hospitals move to use newer technologies to automate vital sign monitoring and decrease nursing workload, our findings suggest that accuracy for identifying high-risk patients may be lost. Additional methods for capturing subjective assessments from clinical providers may be necessary and could be incorporated into risk scores.⁵ For example, the 7-point subjective Patient Acuity Rating has been shown to augment the Modified Early Warning Score for predicting ICU transfer, rapid response activation, or cardiac arrest within 24 hours.⁶

Manually recorded respiratory rate may include information beyond pure physiology, which inflates its predictive value. This has important implications for the use of automated monitoring technology in hospitals and the integration of these measurements into early warning scores.

Respiratory rate is the most accurate vital sign for predicting adverse outcomes in ward patients.^1,2 Though other vital signs are typically collected by using machines, respiratory rate is collected manually by caregivers counting the breathing rate. However, studies have shown significant discrepancies between a patient’s respiratory rate documented in the medical record, which is often 18 or 20, and the value measured by counting the rate over a full minute.³ Thus, despite the high accuracy of respiratory rate, it is possible that these values do not represent true patient physiology. It is unknown whether a valid automated measurement of respiratory rate would be more predictive than a manually collected respiratory rate for identifying patients who develop deterioration. The aim of this study was to compare the distribution and predictive accuracy of manually and automatically recorded respiratory rates.

In this prospective cohort study, adult patients admitted to one oncology ward at the University of Chicago from April 2015 to May 2016 were approached for consent (Institutional Review Board #14-0682). Enrolled patients were fit with a cableless, FDA-approved respiratory pod device (Philips IntelliVue clResp Pod; Philips Healthcare, Andover, MA) that automatically recorded respiratory rate and heart rate every 15 minutes while they remained on the ward. Pod data were paired with vital sign data documented in the electronic health record (EHR) by taking the automated value closest, but prior to, the manual value up to a maximum of 4 hours. Automated and manual respiratory rate were compared by using the area under the receiver operating characteristic curve (AUC) for whether an intensive care unit (ICU) transfer occurred within 24 hours of each paired observation without accounting for patient-level clustering.

In this prospective cohort study, we found that manual respiratory rates were different than those collected from an automated system and, yet, were significantly more accurate for predicting ICU transfer. These results suggest that the predictive accuracy of respiratory rates documented in the EHR is due to more than just physiology. Our findings have important implications for the risk stratification of ward patients.

Though previous literature has suggested that respiratory rate is the most accurate predictor of deterioration, this may not be true.¹ Respiratory rates manually recorded by clinical staff may contain information beyond pure physiology, such as a proxy of clinician concern, which may inflate the predictive value. Nursing staff may record standard respiratory rate values for patients that appear to be well (eg, 18) but count actual rates for those patients they suspect have a more severe disease, which is one possible explanation for our findings. In addition, automated assessments are likely to be more sensitive to intermittent fluctuations in respiratory rate associated with patient movement or emotion. This might explain the improved accuracy at higher rates for manually recorded vital signs.

Although limited by its small sample size, our results have important implications for patient monitoring and early warning scores designed to identify high-risk ward patients given that both simple scores and statistically derived models include respiratory rates as a predictor.⁴ As hospitals move to use newer technologies to automate vital sign monitoring and decrease nursing workload, our findings suggest that accuracy for identifying high-risk patients may be lost. Additional methods for capturing subjective assessments from clinical providers may be necessary and could be incorporated into risk scores.⁵ For example, the 7-point subjective Patient Acuity Rating has been shown to augment the Modified Early Warning Score for predicting ICU transfer, rapid response activation, or cardiac arrest within 24 hours.⁶

Manually recorded respiratory rate may include information beyond pure physiology, which inflates its predictive value. This has important implications for the use of automated monitoring technology in hospitals and the integration of these measurements into early warning scores.

Respiratory rate is the most accurate vital sign for predicting adverse outcomes in ward patients.^1,2 Though other vital signs are typically collected by using machines, respiratory rate is collected manually by caregivers counting the breathing rate. However, studies have shown significant discrepancies between a patient’s respiratory rate documented in the medical record, which is often 18 or 20, and the value measured by counting the rate over a full minute.³ Thus, despite the high accuracy of respiratory rate, it is possible that these values do not represent true patient physiology. It is unknown whether a valid automated measurement of respiratory rate would be more predictive than a manually collected respiratory rate for identifying patients who develop deterioration. The aim of this study was to compare the distribution and predictive accuracy of manually and automatically recorded respiratory rates.

In this prospective cohort study, adult patients admitted to one oncology ward at the University of Chicago from April 2015 to May 2016 were approached for consent (Institutional Review Board #14-0682). Enrolled patients were fit with a cableless, FDA-approved respiratory pod device (Philips IntelliVue clResp Pod; Philips Healthcare, Andover, MA) that automatically recorded respiratory rate and heart rate every 15 minutes while they remained on the ward. Pod data were paired with vital sign data documented in the electronic health record (EHR) by taking the automated value closest, but prior to, the manual value up to a maximum of 4 hours. Automated and manual respiratory rate were compared by using the area under the receiver operating characteristic curve (AUC) for whether an intensive care unit (ICU) transfer occurred within 24 hours of each paired observation without accounting for patient-level clustering.

In this prospective cohort study, we found that manual respiratory rates were different than those collected from an automated system and, yet, were significantly more accurate for predicting ICU transfer. These results suggest that the predictive accuracy of respiratory rates documented in the EHR is due to more than just physiology. Our findings have important implications for the risk stratification of ward patients.

Though previous literature has suggested that respiratory rate is the most accurate predictor of deterioration, this may not be true.¹ Respiratory rates manually recorded by clinical staff may contain information beyond pure physiology, such as a proxy of clinician concern, which may inflate the predictive value. Nursing staff may record standard respiratory rate values for patients that appear to be well (eg, 18) but count actual rates for those patients they suspect have a more severe disease, which is one possible explanation for our findings. In addition, automated assessments are likely to be more sensitive to intermittent fluctuations in respiratory rate associated with patient movement or emotion. This might explain the improved accuracy at higher rates for manually recorded vital signs.

Although limited by its small sample size, our results have important implications for patient monitoring and early warning scores designed to identify high-risk ward patients given that both simple scores and statistically derived models include respiratory rates as a predictor.⁴ As hospitals move to use newer technologies to automate vital sign monitoring and decrease nursing workload, our findings suggest that accuracy for identifying high-risk patients may be lost. Additional methods for capturing subjective assessments from clinical providers may be necessary and could be incorporated into risk scores.⁵ For example, the 7-point subjective Patient Acuity Rating has been shown to augment the Modified Early Warning Score for predicting ICU transfer, rapid response activation, or cardiac arrest within 24 hours.⁶

Manually recorded respiratory rate may include information beyond pure physiology, which inflates its predictive value. This has important implications for the use of automated monitoring technology in hospitals and the integration of these measurements into early warning scores.

Given that multiple disciplines are often involved in caring for patients admitted to the hospital, timely communication, collaboration, and coordination amongst various disciplines is necessary for safe and effective patient care.¹ With the focus on improving patient satisfaction and throughput in hospitals, it is also important to make more accurate predictions of the discharge date and allow time for patients and their families to prepare for discharge.^2-4

Multidisciplinary rounds (MDR) are defined as structured daily communication amongst key members of the patient’s care team (eg, nurses, physicians, case managers, social workers, pharmacists, and rehabilitation services). MDR have shown to be a useful strategy for ensuring that all members of the care team are updated on the plan of care for the patient.⁵ During MDR, a brief “check-in” discussing the patient’s plan of care, pending needs, and barriers to discharge allows all team members, patients, and families to effectively coordinate care and plan and prepare for discharge.

Multiple studies have reported increased collaboration and improved communication between disciplines with the use of such multidisciplinary rounding.^2,5-7 Additionally, MDR have been shown to improve patient outcomes⁸ and reduce adverse events,⁹ length of stay (LOS),^6,8 cost of care,⁸ and readmissions.¹

We redesigned MDR on the general medicine wards at our institution in October 2014 by using Lean management techniques. Lean is defined as a set of philosophies and methods that aim to create transformation in thinking, behavior, and culture in each process, with the goal of maximizing the value for the patients and providers, adding efficiency, and reducing waste and waits.¹⁰

In this study, we evaluate whether this new model of MDR was associated with a decrease in the LOS. We also evaluate whether this new model of MDR was associated with an increase in discharges before noon, documentation of estimated discharge date (EDD) in our electronic health record (EHR), and patient satisfaction.

Setting, Design, and Patients

The study was conducted on the teaching general medicine service at our institution, an urban, 484-bed academic hospital. The general medicine service has patients on 4 inpatient units (total of 95 beds) and is managed by 5 teaching service teams.

We performed a pre-post study. The preperiod (in which the old model of MDR was followed) included 4000 patients discharged between September 1, 2013, and October 22, 2014. The postperiod (in which the new model of MDR was followed) included 2085 patients discharged between October 23, 2014, and April 30, 2015. We excluded 139 patients that died in the hospital prior to discharge and patients on the nonteaching and/or private practice service.

All data were provided by our institution’s Digital Solutions Department. Our institutional review board issued a letter of determination exempting this study from further review because it was deemed to be a quality improvement initiative.

Use of Lean Management to Redesign our MDR

Our institution has incorporated the Lean management system to continually add value to services through the elimination of waste, thus simultaneously optimizing the quality of patient care, cost, and patient satisfaction.¹¹ Lean, derived from the Toyota Production System, has long been used in manufacturing and in recent decades has spread to healthcare.¹² We leveraged the following 3 key Lean techniques to redesign our MDR: (1) value stream management (VSM), (2) rapid process improvement workshops (RPIW), and (3) active daily management (ADM), as detailed in supplementary Appendix 1.

Interventions

Outcomes

The primary outcome was mean LOS. The secondary outcomes were (1) discharges before noon, (2) recording of the EDD in our EHR within 24 hours of admission (as time stamped on our EHR), and (3) patient satisfaction.

Data for patient satisfaction were obtained using the Press Ganey survey. We used data on patient satisfaction scores for the following 2 relevant questions on this survey: (1) extent to which the patient felt ready to be discharged and (2) how well staff worked together to care for the patient. Proportions of the “top-box” (“very good”) were used for the analysis. These survey data were available on 467 patients (11.7%) in the preperiod and 188 patients (9.0%) in the postperiod.

Data Analysis

A sensitivity analysis was conducted on a second cohort that included a subset of patients from the preperiod between November 1, 2013, and April 30, 2014, and a subset of patients from the postperiod between November 1, 2014, and April 1, 2015, to control for the calendar period (supplementary Appendix 2).

All analyses were conducted in R version 3.3.0, with the linear mixed-effects model lme4 statistical package.^13,14

Table 3 shows the differences in the outcomes between the pre- and postperiods. There was no change in the LOS or LOS adjusted for CMI. There was a 3.9% increase in discharges before noon in the postperiod compared with the preperiod (95% CI, 2.4% to 5.3%; P < .001). There was a 9.9% increase in the percentage of patients for whom the EDD was recorded in our EHR within 24 hours of admission (95% CI, 7.4% to 12.4%; P < .001). There was no change in the “top-box” patient satisfaction scores.

There were only marginal differences in the results between the entire cohort and a second subset cohort used for sensitivity analysis (supplementary Appendix 2).

In our study, there was no change in the mean LOS with the new model of MDR. There was an increase in discharges before noon and in recording of the EDD in our EHR within 24 hours of admission in the postperiod when the Lean-based new model of MDR was utilized. There was no change in patient satisfaction. With no change in staffing, we were able to accommodate the increase in the discharge volume in the postperiod.

We believe our results are attributable to several factors, including clearly defined roles and responsibilities for all participants of MDR, the inclusion of more experienced general medicine attending physician (compared with housestaff), Lean management techniques to identify gaps in the patient’s journey from emergency department to discharge using VSM, the development of appropriate workflows and standard work on how the multidisciplinary teams would work together at RPIWs, and ADM to ensure sustainability and engagement among frontline members and institutional leaders. In order to sustain this, we planned to continue monitoring data in daily, weekly, and monthly forums with senior physician and administrative leaders. Planning for additional interventions is underway, including moving MDR to the bedside, instituting an afternoon “check-in” that would enable more detailed action planning, and addressing barriers in a timely manner for patients ready to discharge the following day.

Our study has a few limitations. First, this is an observational study that cannot determine causation. Second, this is a single-center study conducted on patients only on the general medicine teaching service. Third, there were several concurrent interventions implemented at our institution to improve LOS, throughput, and patient satisfaction in addition to MDR, thus making it difficult to isolate the impact of our intervention. Fourth, in the new model of MDR, rounds took place only 5 days per week, thereby possibly limiting the potential impact on our outcomes. Fifth, while we showed improvements in the discharges before noon and recording of EDD in the post period, we were not able to achieve our target of 25% discharges before noon or 100% recording of EDD in this time period. We believe the limited amount of time between the pre- and postperiods to allow for adoption and learning of the processes might have contributed to the underestimation of the impact of the new model of MDR, thereby limiting our ability to achieve our targets. Sixth, the response rate on the Press Ganey survey was low, and we did not directly survey patients or families for their satisfaction with MDR.

Our study has several strengths. To our knowledge, this is the first study to embed Lean management techniques in the design of MDR in the inpatient setting. While several studies have demonstrated improvements in discharges before noon through the implementation of MDR, they have not incorporated Lean management techniques, which we believe are critical to ensure the sustainability of results.^1,3,5,6,8,15 Second, while it was not measured, there was a high level of provider engagement in the process in the new model of MDR. Third, because the MDR were conducted at the nurse’s station on each inpatient unit in the new model instead of in a conference room, it was well attended by all members of the multidisciplinary team. Fourth, the presence of a visibility board allowed for all team members to have easy access to visual feedback throughout the day, even if they were not present at the MDR. Fifth, we believe that there was also more accurate estimation of the date and time of discharge in the new model of MDR because the discussion was facilitated by the case manager, who is experienced in identifying barriers to discharge (compared with the housestaff in the old model of MDR), and included the more experienced attending physician. Finally, the consistent presence of a multidisciplinary team at MDR allowed for the incorporation of everyone’s concerns at one time, thereby limiting the need for paging multiple disciplines throughout the day, which led to quicker resolution of issues and assignment of pending tasks.

In conclusion, our study shows no change in the mean LOS when the Lean-based model of MDR was utilized. Our study demonstrates an increase in discharges before noon and in recording of EDD on our EHR within 24 hours of admission in the post period when the Lean-based model of MDR was utilized. There was no change in patient satisfaction. While this study was conducted at an academic medical center on the general medicine wards, we believe our new model of MDR, which leveraged Lean management techniques, may successfully impact patient flow in all inpatient clinical services and nonteaching hospitals.

Disclosure

The authors report no financial conflicts of interest and have nothing to disclose.

Given that multiple disciplines are often involved in caring for patients admitted to the hospital, timely communication, collaboration, and coordination amongst various disciplines is necessary for safe and effective patient care.¹ With the focus on improving patient satisfaction and throughput in hospitals, it is also important to make more accurate predictions of the discharge date and allow time for patients and their families to prepare for discharge.^2-4

Multidisciplinary rounds (MDR) are defined as structured daily communication amongst key members of the patient’s care team (eg, nurses, physicians, case managers, social workers, pharmacists, and rehabilitation services). MDR have shown to be a useful strategy for ensuring that all members of the care team are updated on the plan of care for the patient.⁵ During MDR, a brief “check-in” discussing the patient’s plan of care, pending needs, and barriers to discharge allows all team members, patients, and families to effectively coordinate care and plan and prepare for discharge.

Multiple studies have reported increased collaboration and improved communication between disciplines with the use of such multidisciplinary rounding.^2,5-7 Additionally, MDR have been shown to improve patient outcomes⁸ and reduce adverse events,⁹ length of stay (LOS),^6,8 cost of care,⁸ and readmissions.¹

We redesigned MDR on the general medicine wards at our institution in October 2014 by using Lean management techniques. Lean is defined as a set of philosophies and methods that aim to create transformation in thinking, behavior, and culture in each process, with the goal of maximizing the value for the patients and providers, adding efficiency, and reducing waste and waits.¹⁰

In this study, we evaluate whether this new model of MDR was associated with a decrease in the LOS. We also evaluate whether this new model of MDR was associated with an increase in discharges before noon, documentation of estimated discharge date (EDD) in our electronic health record (EHR), and patient satisfaction.

Setting, Design, and Patients

The study was conducted on the teaching general medicine service at our institution, an urban, 484-bed academic hospital. The general medicine service has patients on 4 inpatient units (total of 95 beds) and is managed by 5 teaching service teams.

We performed a pre-post study. The preperiod (in which the old model of MDR was followed) included 4000 patients discharged between September 1, 2013, and October 22, 2014. The postperiod (in which the new model of MDR was followed) included 2085 patients discharged between October 23, 2014, and April 30, 2015. We excluded 139 patients that died in the hospital prior to discharge and patients on the nonteaching and/or private practice service.

All data were provided by our institution’s Digital Solutions Department. Our institutional review board issued a letter of determination exempting this study from further review because it was deemed to be a quality improvement initiative.

Use of Lean Management to Redesign our MDR

Our institution has incorporated the Lean management system to continually add value to services through the elimination of waste, thus simultaneously optimizing the quality of patient care, cost, and patient satisfaction.¹¹ Lean, derived from the Toyota Production System, has long been used in manufacturing and in recent decades has spread to healthcare.¹² We leveraged the following 3 key Lean techniques to redesign our MDR: (1) value stream management (VSM), (2) rapid process improvement workshops (RPIW), and (3) active daily management (ADM), as detailed in supplementary Appendix 1.

Interventions

Outcomes

The primary outcome was mean LOS. The secondary outcomes were (1) discharges before noon, (2) recording of the EDD in our EHR within 24 hours of admission (as time stamped on our EHR), and (3) patient satisfaction.

Data for patient satisfaction were obtained using the Press Ganey survey. We used data on patient satisfaction scores for the following 2 relevant questions on this survey: (1) extent to which the patient felt ready to be discharged and (2) how well staff worked together to care for the patient. Proportions of the “top-box” (“very good”) were used for the analysis. These survey data were available on 467 patients (11.7%) in the preperiod and 188 patients (9.0%) in the postperiod.

Data Analysis

A sensitivity analysis was conducted on a second cohort that included a subset of patients from the preperiod between November 1, 2013, and April 30, 2014, and a subset of patients from the postperiod between November 1, 2014, and April 1, 2015, to control for the calendar period (supplementary Appendix 2).

All analyses were conducted in R version 3.3.0, with the linear mixed-effects model lme4 statistical package.^13,14

Table 3 shows the differences in the outcomes between the pre- and postperiods. There was no change in the LOS or LOS adjusted for CMI. There was a 3.9% increase in discharges before noon in the postperiod compared with the preperiod (95% CI, 2.4% to 5.3%; P < .001). There was a 9.9% increase in the percentage of patients for whom the EDD was recorded in our EHR within 24 hours of admission (95% CI, 7.4% to 12.4%; P < .001). There was no change in the “top-box” patient satisfaction scores.

There were only marginal differences in the results between the entire cohort and a second subset cohort used for sensitivity analysis (supplementary Appendix 2).

In our study, there was no change in the mean LOS with the new model of MDR. There was an increase in discharges before noon and in recording of the EDD in our EHR within 24 hours of admission in the postperiod when the Lean-based new model of MDR was utilized. There was no change in patient satisfaction. With no change in staffing, we were able to accommodate the increase in the discharge volume in the postperiod.

We believe our results are attributable to several factors, including clearly defined roles and responsibilities for all participants of MDR, the inclusion of more experienced general medicine attending physician (compared with housestaff), Lean management techniques to identify gaps in the patient’s journey from emergency department to discharge using VSM, the development of appropriate workflows and standard work on how the multidisciplinary teams would work together at RPIWs, and ADM to ensure sustainability and engagement among frontline members and institutional leaders. In order to sustain this, we planned to continue monitoring data in daily, weekly, and monthly forums with senior physician and administrative leaders. Planning for additional interventions is underway, including moving MDR to the bedside, instituting an afternoon “check-in” that would enable more detailed action planning, and addressing barriers in a timely manner for patients ready to discharge the following day.

Our study has a few limitations. First, this is an observational study that cannot determine causation. Second, this is a single-center study conducted on patients only on the general medicine teaching service. Third, there were several concurrent interventions implemented at our institution to improve LOS, throughput, and patient satisfaction in addition to MDR, thus making it difficult to isolate the impact of our intervention. Fourth, in the new model of MDR, rounds took place only 5 days per week, thereby possibly limiting the potential impact on our outcomes. Fifth, while we showed improvements in the discharges before noon and recording of EDD in the post period, we were not able to achieve our target of 25% discharges before noon or 100% recording of EDD in this time period. We believe the limited amount of time between the pre- and postperiods to allow for adoption and learning of the processes might have contributed to the underestimation of the impact of the new model of MDR, thereby limiting our ability to achieve our targets. Sixth, the response rate on the Press Ganey survey was low, and we did not directly survey patients or families for their satisfaction with MDR.

Our study has several strengths. To our knowledge, this is the first study to embed Lean management techniques in the design of MDR in the inpatient setting. While several studies have demonstrated improvements in discharges before noon through the implementation of MDR, they have not incorporated Lean management techniques, which we believe are critical to ensure the sustainability of results.^1,3,5,6,8,15 Second, while it was not measured, there was a high level of provider engagement in the process in the new model of MDR. Third, because the MDR were conducted at the nurse’s station on each inpatient unit in the new model instead of in a conference room, it was well attended by all members of the multidisciplinary team. Fourth, the presence of a visibility board allowed for all team members to have easy access to visual feedback throughout the day, even if they were not present at the MDR. Fifth, we believe that there was also more accurate estimation of the date and time of discharge in the new model of MDR because the discussion was facilitated by the case manager, who is experienced in identifying barriers to discharge (compared with the housestaff in the old model of MDR), and included the more experienced attending physician. Finally, the consistent presence of a multidisciplinary team at MDR allowed for the incorporation of everyone’s concerns at one time, thereby limiting the need for paging multiple disciplines throughout the day, which led to quicker resolution of issues and assignment of pending tasks.

In conclusion, our study shows no change in the mean LOS when the Lean-based model of MDR was utilized. Our study demonstrates an increase in discharges before noon and in recording of EDD on our EHR within 24 hours of admission in the post period when the Lean-based model of MDR was utilized. There was no change in patient satisfaction. While this study was conducted at an academic medical center on the general medicine wards, we believe our new model of MDR, which leveraged Lean management techniques, may successfully impact patient flow in all inpatient clinical services and nonteaching hospitals.

Disclosure

The authors report no financial conflicts of interest and have nothing to disclose.

Given that multiple disciplines are often involved in caring for patients admitted to the hospital, timely communication, collaboration, and coordination amongst various disciplines is necessary for safe and effective patient care.¹ With the focus on improving patient satisfaction and throughput in hospitals, it is also important to make more accurate predictions of the discharge date and allow time for patients and their families to prepare for discharge.^2-4

Multidisciplinary rounds (MDR) are defined as structured daily communication amongst key members of the patient’s care team (eg, nurses, physicians, case managers, social workers, pharmacists, and rehabilitation services). MDR have shown to be a useful strategy for ensuring that all members of the care team are updated on the plan of care for the patient.⁵ During MDR, a brief “check-in” discussing the patient’s plan of care, pending needs, and barriers to discharge allows all team members, patients, and families to effectively coordinate care and plan and prepare for discharge.

Multiple studies have reported increased collaboration and improved communication between disciplines with the use of such multidisciplinary rounding.^2,5-7 Additionally, MDR have been shown to improve patient outcomes⁸ and reduce adverse events,⁹ length of stay (LOS),^6,8 cost of care,⁸ and readmissions.¹

We redesigned MDR on the general medicine wards at our institution in October 2014 by using Lean management techniques. Lean is defined as a set of philosophies and methods that aim to create transformation in thinking, behavior, and culture in each process, with the goal of maximizing the value for the patients and providers, adding efficiency, and reducing waste and waits.¹⁰

In this study, we evaluate whether this new model of MDR was associated with a decrease in the LOS. We also evaluate whether this new model of MDR was associated with an increase in discharges before noon, documentation of estimated discharge date (EDD) in our electronic health record (EHR), and patient satisfaction.

Setting, Design, and Patients

The study was conducted on the teaching general medicine service at our institution, an urban, 484-bed academic hospital. The general medicine service has patients on 4 inpatient units (total of 95 beds) and is managed by 5 teaching service teams.

We performed a pre-post study. The preperiod (in which the old model of MDR was followed) included 4000 patients discharged between September 1, 2013, and October 22, 2014. The postperiod (in which the new model of MDR was followed) included 2085 patients discharged between October 23, 2014, and April 30, 2015. We excluded 139 patients that died in the hospital prior to discharge and patients on the nonteaching and/or private practice service.

All data were provided by our institution’s Digital Solutions Department. Our institutional review board issued a letter of determination exempting this study from further review because it was deemed to be a quality improvement initiative.

Use of Lean Management to Redesign our MDR

Our institution has incorporated the Lean management system to continually add value to services through the elimination of waste, thus simultaneously optimizing the quality of patient care, cost, and patient satisfaction.¹¹ Lean, derived from the Toyota Production System, has long been used in manufacturing and in recent decades has spread to healthcare.¹² We leveraged the following 3 key Lean techniques to redesign our MDR: (1) value stream management (VSM), (2) rapid process improvement workshops (RPIW), and (3) active daily management (ADM), as detailed in supplementary Appendix 1.

Interventions

Outcomes

The primary outcome was mean LOS. The secondary outcomes were (1) discharges before noon, (2) recording of the EDD in our EHR within 24 hours of admission (as time stamped on our EHR), and (3) patient satisfaction.

Data for patient satisfaction were obtained using the Press Ganey survey. We used data on patient satisfaction scores for the following 2 relevant questions on this survey: (1) extent to which the patient felt ready to be discharged and (2) how well staff worked together to care for the patient. Proportions of the “top-box” (“very good”) were used for the analysis. These survey data were available on 467 patients (11.7%) in the preperiod and 188 patients (9.0%) in the postperiod.

Data Analysis

A sensitivity analysis was conducted on a second cohort that included a subset of patients from the preperiod between November 1, 2013, and April 30, 2014, and a subset of patients from the postperiod between November 1, 2014, and April 1, 2015, to control for the calendar period (supplementary Appendix 2).

All analyses were conducted in R version 3.3.0, with the linear mixed-effects model lme4 statistical package.^13,14

Table 3 shows the differences in the outcomes between the pre- and postperiods. There was no change in the LOS or LOS adjusted for CMI. There was a 3.9% increase in discharges before noon in the postperiod compared with the preperiod (95% CI, 2.4% to 5.3%; P < .001). There was a 9.9% increase in the percentage of patients for whom the EDD was recorded in our EHR within 24 hours of admission (95% CI, 7.4% to 12.4%; P < .001). There was no change in the “top-box” patient satisfaction scores.

There were only marginal differences in the results between the entire cohort and a second subset cohort used for sensitivity analysis (supplementary Appendix 2).

In our study, there was no change in the mean LOS with the new model of MDR. There was an increase in discharges before noon and in recording of the EDD in our EHR within 24 hours of admission in the postperiod when the Lean-based new model of MDR was utilized. There was no change in patient satisfaction. With no change in staffing, we were able to accommodate the increase in the discharge volume in the postperiod.

We believe our results are attributable to several factors, including clearly defined roles and responsibilities for all participants of MDR, the inclusion of more experienced general medicine attending physician (compared with housestaff), Lean management techniques to identify gaps in the patient’s journey from emergency department to discharge using VSM, the development of appropriate workflows and standard work on how the multidisciplinary teams would work together at RPIWs, and ADM to ensure sustainability and engagement among frontline members and institutional leaders. In order to sustain this, we planned to continue monitoring data in daily, weekly, and monthly forums with senior physician and administrative leaders. Planning for additional interventions is underway, including moving MDR to the bedside, instituting an afternoon “check-in” that would enable more detailed action planning, and addressing barriers in a timely manner for patients ready to discharge the following day.

Our study has a few limitations. First, this is an observational study that cannot determine causation. Second, this is a single-center study conducted on patients only on the general medicine teaching service. Third, there were several concurrent interventions implemented at our institution to improve LOS, throughput, and patient satisfaction in addition to MDR, thus making it difficult to isolate the impact of our intervention. Fourth, in the new model of MDR, rounds took place only 5 days per week, thereby possibly limiting the potential impact on our outcomes. Fifth, while we showed improvements in the discharges before noon and recording of EDD in the post period, we were not able to achieve our target of 25% discharges before noon or 100% recording of EDD in this time period. We believe the limited amount of time between the pre- and postperiods to allow for adoption and learning of the processes might have contributed to the underestimation of the impact of the new model of MDR, thereby limiting our ability to achieve our targets. Sixth, the response rate on the Press Ganey survey was low, and we did not directly survey patients or families for their satisfaction with MDR.

Our study has several strengths. To our knowledge, this is the first study to embed Lean management techniques in the design of MDR in the inpatient setting. While several studies have demonstrated improvements in discharges before noon through the implementation of MDR, they have not incorporated Lean management techniques, which we believe are critical to ensure the sustainability of results.^1,3,5,6,8,15 Second, while it was not measured, there was a high level of provider engagement in the process in the new model of MDR. Third, because the MDR were conducted at the nurse’s station on each inpatient unit in the new model instead of in a conference room, it was well attended by all members of the multidisciplinary team. Fourth, the presence of a visibility board allowed for all team members to have easy access to visual feedback throughout the day, even if they were not present at the MDR. Fifth, we believe that there was also more accurate estimation of the date and time of discharge in the new model of MDR because the discussion was facilitated by the case manager, who is experienced in identifying barriers to discharge (compared with the housestaff in the old model of MDR), and included the more experienced attending physician. Finally, the consistent presence of a multidisciplinary team at MDR allowed for the incorporation of everyone’s concerns at one time, thereby limiting the need for paging multiple disciplines throughout the day, which led to quicker resolution of issues and assignment of pending tasks.

In conclusion, our study shows no change in the mean LOS when the Lean-based model of MDR was utilized. Our study demonstrates an increase in discharges before noon and in recording of EDD on our EHR within 24 hours of admission in the post period when the Lean-based model of MDR was utilized. There was no change in patient satisfaction. While this study was conducted at an academic medical center on the general medicine wards, we believe our new model of MDR, which leveraged Lean management techniques, may successfully impact patient flow in all inpatient clinical services and nonteaching hospitals.

Disclosure

The authors report no financial conflicts of interest and have nothing to disclose.

Many hospitals are considering or currently employing initiatives to contact patients after discharge. Whether conducted via telephone or other means, the purpose of the contact is to help patients adhere to discharge plans, fulfill discharge needs, and alleviate postdischarge issues (PDIs). The effectiveness of hospital-initiated postdischarge phone calls has been studied in adult patients after hospitalization, and though some studies report positive outcomes,^1-3 a 2006 Cochrane review found insufficient evidence to recommend for or against the practice.⁴

Little is known about follow-up contact after hospitalization for children.^5-11 Rates of PDI vary substantially across hospitals. For example, one single-center study of postdischarge telephone contact after hospitalization on a general pediatric ward identified PDIs in ~20% of patients.¹⁰ Another study identified PDIs in 84% of patients discharged from a pediatric rehabilitation facility.¹¹ Telephone follow-up has been associated with reduced health resource utilization and improved patient satisfaction for children discharged after an elective surgical procedure⁶ and for children discharged home from the emergency department.^7-9

More information is needed on the clinical experiences of postdischarge contact in hospitalized children to improve the understanding of how the contact is made, who makes it, and which patients are most likely to report a PDI. These experiences are crucial to understand given the expense and time commitment involved in postdischarge contact, as many hospitals may not be positioned to contact all discharged patients. Therefore, we conducted a pragmatic, retrospective, naturalistic study of differing approaches to postdischarge contact occurring in multiple hospitals. Our main objective was to describe the prevalence and types of PDIs identified by the different approaches for follow-up contact across 4 children’s hospitals. We also assessed the characteristics of children who have the highest likelihood of having a PDI identified from the contact within each hospital.

Study Design, Setting, and Population

Main Outcome Measures

The main outcome measure was identification of a PDI, defined as a medication, appointment, or other discharge-related issue, that was reported and recorded by the child’s caregiver during conversation from the standardized questions that were asked during follow-up contact as part of routine discharge care (Table 1). Medication PDIs included issues filling prescriptions and tolerating medications. Appointment PDIs included not having a follow-up appointment scheduled. Other PDIs included issues with the child’s health condition, discharge instructions, or any other concerns. All PDIs had been recorded prospectively by hospital contact personnel (hospitals A, B, and D) or through an automated texting system into a database (hospital C). Where available, free text comments that were recorded by contact personnel were reviewed by one of the authors (KB) and categorized via an existing framework of PDI designed by Heath et al.¹⁰ in order to further understand the problems that were reported.

Patient Characteristics

Patient hospitalization, demographic, and clinical characteristics were obtained from administrative health data at each institution and compared between children with versus without a PDI. Hospitalization characteristics included length of stay, season of admission, and reason for admission. Reason for admission was categorized by using 3M Health’s All Patient Refined Diagnosis Related Groups (APR-DRG) (3M, Maplewood, MN). Demographic characteristics included age at admission in years, insurance type (eg, public, private, and other), and race/ethnicity (Asian/Pacific Islander, Hispanic, non-Hispanic black, non-Hispanic white, and other).

Clinical characteristics included a count of the different classes of medications (eg, antibiotics, antiepileptic medications, digestive motility medications, etc.) administered to the child during admission, the type and number of chronic conditions, and assistance with medical technology (eg, gastrostomy, tracheostomy, etc.). Except for medications, these characteristics were assessed with International Classification of Diseases, Ninth Revision-Clinical Modification (ICD-9-CM) diagnosis codes.

We used the Agency for Healthcare Research and Quality Chronic Condition Indicator classification system, which categorizes over 14,000 ICD-9-CM diagnosis codes into chronic versus nonchronic conditions to identify the presence and number of chronic conditions.¹² Children hospitalized with a chronic condition were further classified as having a complex chronic condition (CCC) by using the ICD-9-CM diagnosis classification scheme of Feudtner et al.¹³ CCCs represent defined diagnosis groupings of conditions expected to last longer than 12 months and involve either multiple organ systems or a single organ system severely enough to require specialty pediatric care and hospitalization.^13,14 Children requiring medical technology were identified by using ICD-9-CM codes indicating their use of a medical device to manage and treat a chronic illness (eg, ventricular shunt to treat hydrocephalus) or to maintain basic body functions necessary for sustaining life (eg a tracheostomy tube for breathing).^15,16

Statistical Analysis

Given that the primary purpose for this study was to leverage the natural heterogeneity in the approach to follow-up contact across hospitals, we assessed and reported the prevalence and type of PDIs independently for each hospital. Relatedly, we assessed the relationship between patient characteristics and PDI likelihood independently within each hospital as well rather than pool the data and perform a central analysis across hospitals. Of note, APR-DRG and medication class were not assessed for hospital D, as this information was unavailable. We used χ² tests for univariable analysis and logistic regression with a backwards elimination derivation process (for variables with P ≥ .05) for multivariable analysis; all patient demographic, clinical, and hospitalization characteristics were entered initially into the models. All statistical analyses were performed using SAS version 9.3 (SAS Institute, Cary, NC), and P < .05 was considered statistically significant. This study was approved by the institutional review board at all hospitals.

Study Population

There were 12,986 (51.4%) of 25,259 patients reached by follow-up contact after discharge across the 4 hospitals. Median age at admission for contacted patients was 4.0 years (interquartile range [IQR] 0-11). Of those contacted, 45.2% were female, 59.9% were non-Hispanic white, 51.0% used Medicaid, and 95.4% were discharged to home. Seventy-one percent had a chronic condition (of any complexity) and 40.8% had a CCC. Eighty percent received a prescribed medication during the hospitalization. Median (IQR) length of stay was 2.0 days (IQR 1-4 days). The top 5 most common reasons for admission were bronchiolitis (6.3%), pneumonia (6.2%), asthma (5.2%), seizure (4.9%), and tonsil and adenoid procedures (4.1%).

PDIs

Characteristics Associated with PDIs

Age

Older age was a consistent characteristic associated with PDIs in 3 hospitals. For example, PDI rates in children 10 to 18 years versus <1 year were 30.8% versus 21.4% (P < .001) in hospital A, 19.4% versus 13.7% (P = .002) in hospital B, and 70.3% versus 62.8% (P < .001) in hospital D. In multivariable analysis, age 10 to 18 years versus <1 year at admission was associated with an increased likelihood of PDI in hospital A (odds ratio [OR] 1.7; 95% CI, 1.4-2.0), hospital B (OR 1.4; 95% CI, 1.1-1.8), and hospital D (OR 1.7; 95% CI, 0.9-3.0) (Table 3 and Figure).

Medications

Length of Stay

Shorter length of stay was associated with PDI in 1 hospital. In hospital A, the PDI rate increased significantly (P < .001) from 19.0% to 33.9% as length of stay decreased from ≥7 days to ≤1 day (Table 3). In multivariable analysis, length of stay to ≤1 day versus ≥7 days was associated with increased likelihood of PDI (OR 2.1; 95% CI, 1.7-2.5) in hospital A (Table 3 and Figure).

CCCs

A neuromuscular CCC was associated with PDI in 2 hospitals. In hospital B, the PDI rate was higher in children with a neuromuscular CCC compared with a malignancy CCC (21.3% vs 11.2%). In hospital D, the PDI rates were higher in children with a neuromuscular CCC compared with a respiratory CCC (68.9% vs 40.6%) (Table 3). In multivariable analysis, children with versus without a neuromuscular CCC had an increased likelihood of PDI (OR 1.3; 95% CI, 1.0-1.7) in hospital B (Table 3 and Figure).

In this retrospective, pragmatic, multicentered study of follow-up contact with a standardized set of questions asked after discharge for hospitalized children, we found that PDIs were identified often, regardless of who made the contact or how the contact was made. The PDI rates varied substantially across hospitals and were likely influenced by the different follow-up approaches that were used. Most PDIs were related to appointments; fewer PDIs were related to medications and other problems. Older age, shorter length of stay, and neuromuscular CCCs were among the identified risk factors for PDIs.

Our assessment of PDIs was, by design, associated with variation in methods and approach for detection across sites. Further investigation is needed to understand how different approaches for follow-up contact after discharge may influence the identification of PDIs. For example, in the current study, the hospital with the highest PDI rate (hospital D) used hospitalists who provided inpatient care for the patient to make follow-up contact. Although not determined from the current study, this approach could have led the hospitalists to ask questions beyond the standardized ones when assessing for PDIs. Perhaps some of the hospitalists had a better understanding of how to probe for PDIs specific to each patient; this understanding may not have been forthcoming for staff in the other hospitals who were unfamiliar with the patients’ hospitalization course and medical history.

Similar to previous studies in adults, our study reported that appointment PDIs in children may be more common than other types of PDIs.¹⁷ Appointment PDIs could have been due to scheduling difficulties, inadequate discharge instructions, lack of adherence to recommended follow-up, or other reasons. Further investigation is needed to elucidate these reasons and to determine how to reduce PDIs related to postdischarge appointments. Some children’s hospitals schedule follow-up appointments prior to discharge to mitigate appointment PDIs that might arise.¹⁸ However, doing that for every hospitalized child is challenging, especially for very short admissions or for weekend discharges when many outpatient and community practices are not open to schedule appointments. Additional exploration is necessary to assess whether this might help explain why some children in the current study with a short versus long length of stay had a higher likelihood of PDI.

The rate of medication PDIs (5.2%) observed in the current study is lower than the rate that is reported in prior literature. Dudas et al.¹ found that medication PDIs occurred in 21% of hospitalized adult patients. One reason for the lower rate of medication PDIs in children may be that they require the use of postdischarge medications less often than adults. Most medication PDIs in the current study involved problems filling a prescription. There was not enough information in the notes taken from the follow-up contact to distinguish the medication PDI etiologies (eg, a prescription was not sent from the hospital team to the pharmacy, prior authorization from an insurance company for a prescription was not obtained, the pharmacy did not stock the medication). To help overcome medication access barriers, some hospitals fill and deliver discharge medications to the patients’ bedside. One study found that children discharged with medication in hand were less likely to have emergency department revisits within 30 days of discharge.¹⁹ Further investigation is needed to assess whether initiatives like these help mitigate medication PDIs in children.

Hospitals may benefit from considering how risk factors for PDIs can be used to prioritize which patients receive follow-up contact, especially in hospitals where contact for all hospitalized patients is not feasible. In the current study, there was variation across hospitals in the profile of risk factors that correlated with increased likelihood of PDI. Some of the risk factors are easier to explain than others. For example, as mentioned above, for some hospitalized children, short length of stay might not permit enough time for hospital staff to set up discharge plans that may sufficiently prevent PDIs. Other risk factors, including older age and neuromuscular CCCs, may require additional assessment (eg, through chart review or in-depth patient and provider interviews) to discover the reasons why they were associated with increased likelihood of PDI. There are additional risk factors that might influence the likelihood of PDI that the current study was not positioned to assess, including health literacy, transportation availability, and language spoken.^20-23

This study has several other limitations in addition to the ones already mentioned. Some children may have experienced PDIs that were not reported at contact (eg, the respondent was unaware that an issue was present), which may have led to an undercounting of PDIs. Alternatively, some caregivers may have been more likely to respond to the contact if their child was experiencing a PDI, which may have led to overcounting. PDIs of nonrespondents were not measured. PDIs identified by postdischarge outpatient and community providers or by families outside of contact were not measured. The current study was not positioned to assess the severity of the PDIs or what interventions (including additional health services) were needed to address them. Although we assessed medication use during admission, we were unable to assess the number and type of medications that were prescribed for use postdischarge. Information about the number and type of follow-up visits needed for each child was not assessed. Given the variety of approaches for follow-up contact, the findings may generalize best to individual hospitals by using an approach that best matches to one of them. The current study is not positioned to correlate quality of discharge care with the rate of PDI.

Despite these limitations, the findings from the current study reinforce that PDIs identified through follow-up contact in discharged patients appear to be common. Of PDIs identified, appointment problems were more prevalent than medication or other types of problems. Short length of stay, older age, and other patient and/or hospitalization attributes were associated with an increased likelihood of PDI. Hospitals caring for children may find this information useful as they strive to optimize their processes for follow-up contact after discharge. To help further evaluate the value and importance of contacting patients after discharge, additional study of PDI in children is warranted, including (1) actions taken to resolve PDIs, (2) the impact of identifying and addressing PDIs on hospital readmission, and (3) postdischarge experiences and health outcomes of children who responded versus those who did not respond to the follow-up contact. Moreover, future multisite, comparative effectiveness studies of PDI may wish to consider standardization of follow-up contact procedures with controlled manipulation of key processes (eg, contact by administrator vs nurse vs physician) to assess best practices.

Disclosure

Mr. Blaine, Ms. O’Neill, and Drs. Berry, Brittan, Rehm, and Steiner were supported by the Lucile Packard Foundation for Children’s Health. The authors have no financial relationships relative to this article to disclose. The authors have no conflicts of interest to disclose.

Many hospitals are considering or currently employing initiatives to contact patients after discharge. Whether conducted via telephone or other means, the purpose of the contact is to help patients adhere to discharge plans, fulfill discharge needs, and alleviate postdischarge issues (PDIs). The effectiveness of hospital-initiated postdischarge phone calls has been studied in adult patients after hospitalization, and though some studies report positive outcomes,^1-3 a 2006 Cochrane review found insufficient evidence to recommend for or against the practice.⁴

Little is known about follow-up contact after hospitalization for children.^5-11 Rates of PDI vary substantially across hospitals. For example, one single-center study of postdischarge telephone contact after hospitalization on a general pediatric ward identified PDIs in ~20% of patients.¹⁰ Another study identified PDIs in 84% of patients discharged from a pediatric rehabilitation facility.¹¹ Telephone follow-up has been associated with reduced health resource utilization and improved patient satisfaction for children discharged after an elective surgical procedure⁶ and for children discharged home from the emergency department.^7-9

More information is needed on the clinical experiences of postdischarge contact in hospitalized children to improve the understanding of how the contact is made, who makes it, and which patients are most likely to report a PDI. These experiences are crucial to understand given the expense and time commitment involved in postdischarge contact, as many hospitals may not be positioned to contact all discharged patients. Therefore, we conducted a pragmatic, retrospective, naturalistic study of differing approaches to postdischarge contact occurring in multiple hospitals. Our main objective was to describe the prevalence and types of PDIs identified by the different approaches for follow-up contact across 4 children’s hospitals. We also assessed the characteristics of children who have the highest likelihood of having a PDI identified from the contact within each hospital.

Study Design, Setting, and Population

Main Outcome Measures

The main outcome measure was identification of a PDI, defined as a medication, appointment, or other discharge-related issue, that was reported and recorded by the child’s caregiver during conversation from the standardized questions that were asked during follow-up contact as part of routine discharge care (Table 1). Medication PDIs included issues filling prescriptions and tolerating medications. Appointment PDIs included not having a follow-up appointment scheduled. Other PDIs included issues with the child’s health condition, discharge instructions, or any other concerns. All PDIs had been recorded prospectively by hospital contact personnel (hospitals A, B, and D) or through an automated texting system into a database (hospital C). Where available, free text comments that were recorded by contact personnel were reviewed by one of the authors (KB) and categorized via an existing framework of PDI designed by Heath et al.¹⁰ in order to further understand the problems that were reported.

Patient Characteristics

Patient hospitalization, demographic, and clinical characteristics were obtained from administrative health data at each institution and compared between children with versus without a PDI. Hospitalization characteristics included length of stay, season of admission, and reason for admission. Reason for admission was categorized by using 3M Health’s All Patient Refined Diagnosis Related Groups (APR-DRG) (3M, Maplewood, MN). Demographic characteristics included age at admission in years, insurance type (eg, public, private, and other), and race/ethnicity (Asian/Pacific Islander, Hispanic, non-Hispanic black, non-Hispanic white, and other).

Clinical characteristics included a count of the different classes of medications (eg, antibiotics, antiepileptic medications, digestive motility medications, etc.) administered to the child during admission, the type and number of chronic conditions, and assistance with medical technology (eg, gastrostomy, tracheostomy, etc.). Except for medications, these characteristics were assessed with International Classification of Diseases, Ninth Revision-Clinical Modification (ICD-9-CM) diagnosis codes.

We used the Agency for Healthcare Research and Quality Chronic Condition Indicator classification system, which categorizes over 14,000 ICD-9-CM diagnosis codes into chronic versus nonchronic conditions to identify the presence and number of chronic conditions.¹² Children hospitalized with a chronic condition were further classified as having a complex chronic condition (CCC) by using the ICD-9-CM diagnosis classification scheme of Feudtner et al.¹³ CCCs represent defined diagnosis groupings of conditions expected to last longer than 12 months and involve either multiple organ systems or a single organ system severely enough to require specialty pediatric care and hospitalization.^13,14 Children requiring medical technology were identified by using ICD-9-CM codes indicating their use of a medical device to manage and treat a chronic illness (eg, ventricular shunt to treat hydrocephalus) or to maintain basic body functions necessary for sustaining life (eg a tracheostomy tube for breathing).^15,16

Statistical Analysis

Given that the primary purpose for this study was to leverage the natural heterogeneity in the approach to follow-up contact across hospitals, we assessed and reported the prevalence and type of PDIs independently for each hospital. Relatedly, we assessed the relationship between patient characteristics and PDI likelihood independently within each hospital as well rather than pool the data and perform a central analysis across hospitals. Of note, APR-DRG and medication class were not assessed for hospital D, as this information was unavailable. We used χ² tests for univariable analysis and logistic regression with a backwards elimination derivation process (for variables with P ≥ .05) for multivariable analysis; all patient demographic, clinical, and hospitalization characteristics were entered initially into the models. All statistical analyses were performed using SAS version 9.3 (SAS Institute, Cary, NC), and P < .05 was considered statistically significant. This study was approved by the institutional review board at all hospitals.

Study Population

There were 12,986 (51.4%) of 25,259 patients reached by follow-up contact after discharge across the 4 hospitals. Median age at admission for contacted patients was 4.0 years (interquartile range [IQR] 0-11). Of those contacted, 45.2% were female, 59.9% were non-Hispanic white, 51.0% used Medicaid, and 95.4% were discharged to home. Seventy-one percent had a chronic condition (of any complexity) and 40.8% had a CCC. Eighty percent received a prescribed medication during the hospitalization. Median (IQR) length of stay was 2.0 days (IQR 1-4 days). The top 5 most common reasons for admission were bronchiolitis (6.3%), pneumonia (6.2%), asthma (5.2%), seizure (4.9%), and tonsil and adenoid procedures (4.1%).

PDIs

Characteristics Associated with PDIs

Age

Older age was a consistent characteristic associated with PDIs in 3 hospitals. For example, PDI rates in children 10 to 18 years versus <1 year were 30.8% versus 21.4% (P < .001) in hospital A, 19.4% versus 13.7% (P = .002) in hospital B, and 70.3% versus 62.8% (P < .001) in hospital D. In multivariable analysis, age 10 to 18 years versus <1 year at admission was associated with an increased likelihood of PDI in hospital A (odds ratio [OR] 1.7; 95% CI, 1.4-2.0), hospital B (OR 1.4; 95% CI, 1.1-1.8), and hospital D (OR 1.7; 95% CI, 0.9-3.0) (Table 3 and Figure).

Medications

Length of Stay

Shorter length of stay was associated with PDI in 1 hospital. In hospital A, the PDI rate increased significantly (P < .001) from 19.0% to 33.9% as length of stay decreased from ≥7 days to ≤1 day (Table 3). In multivariable analysis, length of stay to ≤1 day versus ≥7 days was associated with increased likelihood of PDI (OR 2.1; 95% CI, 1.7-2.5) in hospital A (Table 3 and Figure).

CCCs

A neuromuscular CCC was associated with PDI in 2 hospitals. In hospital B, the PDI rate was higher in children with a neuromuscular CCC compared with a malignancy CCC (21.3% vs 11.2%). In hospital D, the PDI rates were higher in children with a neuromuscular CCC compared with a respiratory CCC (68.9% vs 40.6%) (Table 3). In multivariable analysis, children with versus without a neuromuscular CCC had an increased likelihood of PDI (OR 1.3; 95% CI, 1.0-1.7) in hospital B (Table 3 and Figure).

In this retrospective, pragmatic, multicentered study of follow-up contact with a standardized set of questions asked after discharge for hospitalized children, we found that PDIs were identified often, regardless of who made the contact or how the contact was made. The PDI rates varied substantially across hospitals and were likely influenced by the different follow-up approaches that were used. Most PDIs were related to appointments; fewer PDIs were related to medications and other problems. Older age, shorter length of stay, and neuromuscular CCCs were among the identified risk factors for PDIs.

Our assessment of PDIs was, by design, associated with variation in methods and approach for detection across sites. Further investigation is needed to understand how different approaches for follow-up contact after discharge may influence the identification of PDIs. For example, in the current study, the hospital with the highest PDI rate (hospital D) used hospitalists who provided inpatient care for the patient to make follow-up contact. Although not determined from the current study, this approach could have led the hospitalists to ask questions beyond the standardized ones when assessing for PDIs. Perhaps some of the hospitalists had a better understanding of how to probe for PDIs specific to each patient; this understanding may not have been forthcoming for staff in the other hospitals who were unfamiliar with the patients’ hospitalization course and medical history.

Similar to previous studies in adults, our study reported that appointment PDIs in children may be more common than other types of PDIs.¹⁷ Appointment PDIs could have been due to scheduling difficulties, inadequate discharge instructions, lack of adherence to recommended follow-up, or other reasons. Further investigation is needed to elucidate these reasons and to determine how to reduce PDIs related to postdischarge appointments. Some children’s hospitals schedule follow-up appointments prior to discharge to mitigate appointment PDIs that might arise.¹⁸ However, doing that for every hospitalized child is challenging, especially for very short admissions or for weekend discharges when many outpatient and community practices are not open to schedule appointments. Additional exploration is necessary to assess whether this might help explain why some children in the current study with a short versus long length of stay had a higher likelihood of PDI.

The rate of medication PDIs (5.2%) observed in the current study is lower than the rate that is reported in prior literature. Dudas et al.¹ found that medication PDIs occurred in 21% of hospitalized adult patients. One reason for the lower rate of medication PDIs in children may be that they require the use of postdischarge medications less often than adults. Most medication PDIs in the current study involved problems filling a prescription. There was not enough information in the notes taken from the follow-up contact to distinguish the medication PDI etiologies (eg, a prescription was not sent from the hospital team to the pharmacy, prior authorization from an insurance company for a prescription was not obtained, the pharmacy did not stock the medication). To help overcome medication access barriers, some hospitals fill and deliver discharge medications to the patients’ bedside. One study found that children discharged with medication in hand were less likely to have emergency department revisits within 30 days of discharge.¹⁹ Further investigation is needed to assess whether initiatives like these help mitigate medication PDIs in children.

Hospitals may benefit from considering how risk factors for PDIs can be used to prioritize which patients receive follow-up contact, especially in hospitals where contact for all hospitalized patients is not feasible. In the current study, there was variation across hospitals in the profile of risk factors that correlated with increased likelihood of PDI. Some of the risk factors are easier to explain than others. For example, as mentioned above, for some hospitalized children, short length of stay might not permit enough time for hospital staff to set up discharge plans that may sufficiently prevent PDIs. Other risk factors, including older age and neuromuscular CCCs, may require additional assessment (eg, through chart review or in-depth patient and provider interviews) to discover the reasons why they were associated with increased likelihood of PDI. There are additional risk factors that might influence the likelihood of PDI that the current study was not positioned to assess, including health literacy, transportation availability, and language spoken.^20-23

This study has several other limitations in addition to the ones already mentioned. Some children may have experienced PDIs that were not reported at contact (eg, the respondent was unaware that an issue was present), which may have led to an undercounting of PDIs. Alternatively, some caregivers may have been more likely to respond to the contact if their child was experiencing a PDI, which may have led to overcounting. PDIs of nonrespondents were not measured. PDIs identified by postdischarge outpatient and community providers or by families outside of contact were not measured. The current study was not positioned to assess the severity of the PDIs or what interventions (including additional health services) were needed to address them. Although we assessed medication use during admission, we were unable to assess the number and type of medications that were prescribed for use postdischarge. Information about the number and type of follow-up visits needed for each child was not assessed. Given the variety of approaches for follow-up contact, the findings may generalize best to individual hospitals by using an approach that best matches to one of them. The current study is not positioned to correlate quality of discharge care with the rate of PDI.

Despite these limitations, the findings from the current study reinforce that PDIs identified through follow-up contact in discharged patients appear to be common. Of PDIs identified, appointment problems were more prevalent than medication or other types of problems. Short length of stay, older age, and other patient and/or hospitalization attributes were associated with an increased likelihood of PDI. Hospitals caring for children may find this information useful as they strive to optimize their processes for follow-up contact after discharge. To help further evaluate the value and importance of contacting patients after discharge, additional study of PDI in children is warranted, including (1) actions taken to resolve PDIs, (2) the impact of identifying and addressing PDIs on hospital readmission, and (3) postdischarge experiences and health outcomes of children who responded versus those who did not respond to the follow-up contact. Moreover, future multisite, comparative effectiveness studies of PDI may wish to consider standardization of follow-up contact procedures with controlled manipulation of key processes (eg, contact by administrator vs nurse vs physician) to assess best practices.

Disclosure

Mr. Blaine, Ms. O’Neill, and Drs. Berry, Brittan, Rehm, and Steiner were supported by the Lucile Packard Foundation for Children’s Health. The authors have no financial relationships relative to this article to disclose. The authors have no conflicts of interest to disclose.

Many hospitals are considering or currently employing initiatives to contact patients after discharge. Whether conducted via telephone or other means, the purpose of the contact is to help patients adhere to discharge plans, fulfill discharge needs, and alleviate postdischarge issues (PDIs). The effectiveness of hospital-initiated postdischarge phone calls has been studied in adult patients after hospitalization, and though some studies report positive outcomes,^1-3 a 2006 Cochrane review found insufficient evidence to recommend for or against the practice.⁴

Little is known about follow-up contact after hospitalization for children.^5-11 Rates of PDI vary substantially across hospitals. For example, one single-center study of postdischarge telephone contact after hospitalization on a general pediatric ward identified PDIs in ~20% of patients.¹⁰ Another study identified PDIs in 84% of patients discharged from a pediatric rehabilitation facility.¹¹ Telephone follow-up has been associated with reduced health resource utilization and improved patient satisfaction for children discharged after an elective surgical procedure⁶ and for children discharged home from the emergency department.^7-9

More information is needed on the clinical experiences of postdischarge contact in hospitalized children to improve the understanding of how the contact is made, who makes it, and which patients are most likely to report a PDI. These experiences are crucial to understand given the expense and time commitment involved in postdischarge contact, as many hospitals may not be positioned to contact all discharged patients. Therefore, we conducted a pragmatic, retrospective, naturalistic study of differing approaches to postdischarge contact occurring in multiple hospitals. Our main objective was to describe the prevalence and types of PDIs identified by the different approaches for follow-up contact across 4 children’s hospitals. We also assessed the characteristics of children who have the highest likelihood of having a PDI identified from the contact within each hospital.

Study Design, Setting, and Population

Main Outcome Measures

The main outcome measure was identification of a PDI, defined as a medication, appointment, or other discharge-related issue, that was reported and recorded by the child’s caregiver during conversation from the standardized questions that were asked during follow-up contact as part of routine discharge care (Table 1). Medication PDIs included issues filling prescriptions and tolerating medications. Appointment PDIs included not having a follow-up appointment scheduled. Other PDIs included issues with the child’s health condition, discharge instructions, or any other concerns. All PDIs had been recorded prospectively by hospital contact personnel (hospitals A, B, and D) or through an automated texting system into a database (hospital C). Where available, free text comments that were recorded by contact personnel were reviewed by one of the authors (KB) and categorized via an existing framework of PDI designed by Heath et al.¹⁰ in order to further understand the problems that were reported.

Patient Characteristics

Patient hospitalization, demographic, and clinical characteristics were obtained from administrative health data at each institution and compared between children with versus without a PDI. Hospitalization characteristics included length of stay, season of admission, and reason for admission. Reason for admission was categorized by using 3M Health’s All Patient Refined Diagnosis Related Groups (APR-DRG) (3M, Maplewood, MN). Demographic characteristics included age at admission in years, insurance type (eg, public, private, and other), and race/ethnicity (Asian/Pacific Islander, Hispanic, non-Hispanic black, non-Hispanic white, and other).

Clinical characteristics included a count of the different classes of medications (eg, antibiotics, antiepileptic medications, digestive motility medications, etc.) administered to the child during admission, the type and number of chronic conditions, and assistance with medical technology (eg, gastrostomy, tracheostomy, etc.). Except for medications, these characteristics were assessed with International Classification of Diseases, Ninth Revision-Clinical Modification (ICD-9-CM) diagnosis codes.

We used the Agency for Healthcare Research and Quality Chronic Condition Indicator classification system, which categorizes over 14,000 ICD-9-CM diagnosis codes into chronic versus nonchronic conditions to identify the presence and number of chronic conditions.¹² Children hospitalized with a chronic condition were further classified as having a complex chronic condition (CCC) by using the ICD-9-CM diagnosis classification scheme of Feudtner et al.¹³ CCCs represent defined diagnosis groupings of conditions expected to last longer than 12 months and involve either multiple organ systems or a single organ system severely enough to require specialty pediatric care and hospitalization.^13,14 Children requiring medical technology were identified by using ICD-9-CM codes indicating their use of a medical device to manage and treat a chronic illness (eg, ventricular shunt to treat hydrocephalus) or to maintain basic body functions necessary for sustaining life (eg a tracheostomy tube for breathing).^15,16

Statistical Analysis

Given that the primary purpose for this study was to leverage the natural heterogeneity in the approach to follow-up contact across hospitals, we assessed and reported the prevalence and type of PDIs independently for each hospital. Relatedly, we assessed the relationship between patient characteristics and PDI likelihood independently within each hospital as well rather than pool the data and perform a central analysis across hospitals. Of note, APR-DRG and medication class were not assessed for hospital D, as this information was unavailable. We used χ² tests for univariable analysis and logistic regression with a backwards elimination derivation process (for variables with P ≥ .05) for multivariable analysis; all patient demographic, clinical, and hospitalization characteristics were entered initially into the models. All statistical analyses were performed using SAS version 9.3 (SAS Institute, Cary, NC), and P < .05 was considered statistically significant. This study was approved by the institutional review board at all hospitals.

Study Population

There were 12,986 (51.4%) of 25,259 patients reached by follow-up contact after discharge across the 4 hospitals. Median age at admission for contacted patients was 4.0 years (interquartile range [IQR] 0-11). Of those contacted, 45.2% were female, 59.9% were non-Hispanic white, 51.0% used Medicaid, and 95.4% were discharged to home. Seventy-one percent had a chronic condition (of any complexity) and 40.8% had a CCC. Eighty percent received a prescribed medication during the hospitalization. Median (IQR) length of stay was 2.0 days (IQR 1-4 days). The top 5 most common reasons for admission were bronchiolitis (6.3%), pneumonia (6.2%), asthma (5.2%), seizure (4.9%), and tonsil and adenoid procedures (4.1%).

PDIs

Characteristics Associated with PDIs

Age

Older age was a consistent characteristic associated with PDIs in 3 hospitals. For example, PDI rates in children 10 to 18 years versus <1 year were 30.8% versus 21.4% (P < .001) in hospital A, 19.4% versus 13.7% (P = .002) in hospital B, and 70.3% versus 62.8% (P < .001) in hospital D. In multivariable analysis, age 10 to 18 years versus <1 year at admission was associated with an increased likelihood of PDI in hospital A (odds ratio [OR] 1.7; 95% CI, 1.4-2.0), hospital B (OR 1.4; 95% CI, 1.1-1.8), and hospital D (OR 1.7; 95% CI, 0.9-3.0) (Table 3 and Figure).

Medications

Length of Stay

Shorter length of stay was associated with PDI in 1 hospital. In hospital A, the PDI rate increased significantly (P < .001) from 19.0% to 33.9% as length of stay decreased from ≥7 days to ≤1 day (Table 3). In multivariable analysis, length of stay to ≤1 day versus ≥7 days was associated with increased likelihood of PDI (OR 2.1; 95% CI, 1.7-2.5) in hospital A (Table 3 and Figure).

CCCs

A neuromuscular CCC was associated with PDI in 2 hospitals. In hospital B, the PDI rate was higher in children with a neuromuscular CCC compared with a malignancy CCC (21.3% vs 11.2%). In hospital D, the PDI rates were higher in children with a neuromuscular CCC compared with a respiratory CCC (68.9% vs 40.6%) (Table 3). In multivariable analysis, children with versus without a neuromuscular CCC had an increased likelihood of PDI (OR 1.3; 95% CI, 1.0-1.7) in hospital B (Table 3 and Figure).

In this retrospective, pragmatic, multicentered study of follow-up contact with a standardized set of questions asked after discharge for hospitalized children, we found that PDIs were identified often, regardless of who made the contact or how the contact was made. The PDI rates varied substantially across hospitals and were likely influenced by the different follow-up approaches that were used. Most PDIs were related to appointments; fewer PDIs were related to medications and other problems. Older age, shorter length of stay, and neuromuscular CCCs were among the identified risk factors for PDIs.

Our assessment of PDIs was, by design, associated with variation in methods and approach for detection across sites. Further investigation is needed to understand how different approaches for follow-up contact after discharge may influence the identification of PDIs. For example, in the current study, the hospital with the highest PDI rate (hospital D) used hospitalists who provided inpatient care for the patient to make follow-up contact. Although not determined from the current study, this approach could have led the hospitalists to ask questions beyond the standardized ones when assessing for PDIs. Perhaps some of the hospitalists had a better understanding of how to probe for PDIs specific to each patient; this understanding may not have been forthcoming for staff in the other hospitals who were unfamiliar with the patients’ hospitalization course and medical history.

Similar to previous studies in adults, our study reported that appointment PDIs in children may be more common than other types of PDIs.¹⁷ Appointment PDIs could have been due to scheduling difficulties, inadequate discharge instructions, lack of adherence to recommended follow-up, or other reasons. Further investigation is needed to elucidate these reasons and to determine how to reduce PDIs related to postdischarge appointments. Some children’s hospitals schedule follow-up appointments prior to discharge to mitigate appointment PDIs that might arise.¹⁸ However, doing that for every hospitalized child is challenging, especially for very short admissions or for weekend discharges when many outpatient and community practices are not open to schedule appointments. Additional exploration is necessary to assess whether this might help explain why some children in the current study with a short versus long length of stay had a higher likelihood of PDI.

The rate of medication PDIs (5.2%) observed in the current study is lower than the rate that is reported in prior literature. Dudas et al.¹ found that medication PDIs occurred in 21% of hospitalized adult patients. One reason for the lower rate of medication PDIs in children may be that they require the use of postdischarge medications less often than adults. Most medication PDIs in the current study involved problems filling a prescription. There was not enough information in the notes taken from the follow-up contact to distinguish the medication PDI etiologies (eg, a prescription was not sent from the hospital team to the pharmacy, prior authorization from an insurance company for a prescription was not obtained, the pharmacy did not stock the medication). To help overcome medication access barriers, some hospitals fill and deliver discharge medications to the patients’ bedside. One study found that children discharged with medication in hand were less likely to have emergency department revisits within 30 days of discharge.¹⁹ Further investigation is needed to assess whether initiatives like these help mitigate medication PDIs in children.

Hospitals may benefit from considering how risk factors for PDIs can be used to prioritize which patients receive follow-up contact, especially in hospitals where contact for all hospitalized patients is not feasible. In the current study, there was variation across hospitals in the profile of risk factors that correlated with increased likelihood of PDI. Some of the risk factors are easier to explain than others. For example, as mentioned above, for some hospitalized children, short length of stay might not permit enough time for hospital staff to set up discharge plans that may sufficiently prevent PDIs. Other risk factors, including older age and neuromuscular CCCs, may require additional assessment (eg, through chart review or in-depth patient and provider interviews) to discover the reasons why they were associated with increased likelihood of PDI. There are additional risk factors that might influence the likelihood of PDI that the current study was not positioned to assess, including health literacy, transportation availability, and language spoken.^20-23

This study has several other limitations in addition to the ones already mentioned. Some children may have experienced PDIs that were not reported at contact (eg, the respondent was unaware that an issue was present), which may have led to an undercounting of PDIs. Alternatively, some caregivers may have been more likely to respond to the contact if their child was experiencing a PDI, which may have led to overcounting. PDIs of nonrespondents were not measured. PDIs identified by postdischarge outpatient and community providers or by families outside of contact were not measured. The current study was not positioned to assess the severity of the PDIs or what interventions (including additional health services) were needed to address them. Although we assessed medication use during admission, we were unable to assess the number and type of medications that were prescribed for use postdischarge. Information about the number and type of follow-up visits needed for each child was not assessed. Given the variety of approaches for follow-up contact, the findings may generalize best to individual hospitals by using an approach that best matches to one of them. The current study is not positioned to correlate quality of discharge care with the rate of PDI.

Despite these limitations, the findings from the current study reinforce that PDIs identified through follow-up contact in discharged patients appear to be common. Of PDIs identified, appointment problems were more prevalent than medication or other types of problems. Short length of stay, older age, and other patient and/or hospitalization attributes were associated with an increased likelihood of PDI. Hospitals caring for children may find this information useful as they strive to optimize their processes for follow-up contact after discharge. To help further evaluate the value and importance of contacting patients after discharge, additional study of PDI in children is warranted, including (1) actions taken to resolve PDIs, (2) the impact of identifying and addressing PDIs on hospital readmission, and (3) postdischarge experiences and health outcomes of children who responded versus those who did not respond to the follow-up contact. Moreover, future multisite, comparative effectiveness studies of PDI may wish to consider standardization of follow-up contact procedures with controlled manipulation of key processes (eg, contact by administrator vs nurse vs physician) to assess best practices.

Disclosure

Mr. Blaine, Ms. O’Neill, and Drs. Berry, Brittan, Rehm, and Steiner were supported by the Lucile Packard Foundation for Children’s Health. The authors have no financial relationships relative to this article to disclose. The authors have no conflicts of interest to disclose.

Tisagenlecleucel was associated with durable remission and long-term persistence for younger patients with relapsed or refractory B-cell acute lymphoblastic leukemia (ALL), according to the results of a multicenter, multicontinent, phase 2 trial published in the New England Journal of Medicine.

Shannon L. Maude, MD, PhD, of the Children’s Hospital of Philadelphia and her coauthors reported that the anti-CD19 chimeric antigen receptor (CAR) therapy was highly toxic, but the effects were usually mitigated. Additionally, the investigators showed feasibility of a global supply chain for distribution of the therapy.

The investigators evaluated data from 75 patients with at least 5% lymphoblasts in their bone marrow at the time of screening. Patients were aged 3 years or older at the time of screening but were no older than 21 years of age at the time of diagnosis.

For 50 patients evaluated at the interim analysis, the primary endpoint of overall remission at 3 months was met, and the overall remission rate was 82% (P less than .001).

An updated analysis showed that 81% of 75 patients who had at least 3 months of follow-up experienced overall remission (95% confidence interval, 71-89). A total of 45 of those patients experienced complete remission, and 16 had complete remission with incomplete hematologic recovery.

Event-free survival was experienced by 73% of patients at 6 months and 50% of patients at 12 months. Overall survival was 90% at 6 months and 76% at 12 months, the investigators reported.

Before tisagenlecleucel infusion, 96% of patients received lymphodepleting chemotherapy. The administration of chemotherapy was not done at the discretion of the investigator if a patient had leukopenia.

The median duration of remission was not reached, and the persistence of tisagenlecleucel in the blood was observed for as long as 20 months.

“The remissions were durable, with a 6-month relapse-free survival rate of 80%,” the investigators wrote. “The durability of the clinical response was associated with persistence of tisagenlecleucel in peripheral blood and with persistent B-cell aplasia.”

The phase 1 study of tisagenlecleucel infusion therapy for younger patients with B-cell ALL showed the toxic nature of the therapy, so investigators were not surprised by the safety data they found. Nearly three-quarters of patients who were evaluated in the study experienced a grade 3 or 4 tisagenlecleucel-related adverse event. Cytokine release syndrome occurred in 77% of patients.

Previously reported data regarding anti-CD19 CAR T-cell therapy for ALL came from single-center studies where manufacturing occurred on site, but the current study employed a global, multicenter supply chain, according to the investigators.

“The toxicity and efficacy of tisagenlecleucel [in this study] were consistent with those in the single-center study, and the feasibility of a global supply chain was demonstrated,” they wrote. “Because this study used cryopreserved leukapheresis product, it did not require fresh product and an open manufacture slot for enrollment.”

This research was sponsored and designed by Novartis Pharmaceuticals. Dr. Maude reported having received personal fees from Novartis as well as grant funding from St. Baldrick’s Foundation.
 

[email protected]

SOURCE: Maude SL, et al. N Engl J Med. 2018;378:439-48.

Tisagenlecleucel was associated with durable remission and long-term persistence for younger patients with relapsed or refractory B-cell acute lymphoblastic leukemia (ALL), according to the results of a multicenter, multicontinent, phase 2 trial published in the New England Journal of Medicine.

Shannon L. Maude, MD, PhD, of the Children’s Hospital of Philadelphia and her coauthors reported that the anti-CD19 chimeric antigen receptor (CAR) therapy was highly toxic, but the effects were usually mitigated. Additionally, the investigators showed feasibility of a global supply chain for distribution of the therapy.

The investigators evaluated data from 75 patients with at least 5% lymphoblasts in their bone marrow at the time of screening. Patients were aged 3 years or older at the time of screening but were no older than 21 years of age at the time of diagnosis.

For 50 patients evaluated at the interim analysis, the primary endpoint of overall remission at 3 months was met, and the overall remission rate was 82% (P less than .001).

An updated analysis showed that 81% of 75 patients who had at least 3 months of follow-up experienced overall remission (95% confidence interval, 71-89). A total of 45 of those patients experienced complete remission, and 16 had complete remission with incomplete hematologic recovery.

Event-free survival was experienced by 73% of patients at 6 months and 50% of patients at 12 months. Overall survival was 90% at 6 months and 76% at 12 months, the investigators reported.

Before tisagenlecleucel infusion, 96% of patients received lymphodepleting chemotherapy. The administration of chemotherapy was not done at the discretion of the investigator if a patient had leukopenia.

The median duration of remission was not reached, and the persistence of tisagenlecleucel in the blood was observed for as long as 20 months.

“The remissions were durable, with a 6-month relapse-free survival rate of 80%,” the investigators wrote. “The durability of the clinical response was associated with persistence of tisagenlecleucel in peripheral blood and with persistent B-cell aplasia.”

The phase 1 study of tisagenlecleucel infusion therapy for younger patients with B-cell ALL showed the toxic nature of the therapy, so investigators were not surprised by the safety data they found. Nearly three-quarters of patients who were evaluated in the study experienced a grade 3 or 4 tisagenlecleucel-related adverse event. Cytokine release syndrome occurred in 77% of patients.

Previously reported data regarding anti-CD19 CAR T-cell therapy for ALL came from single-center studies where manufacturing occurred on site, but the current study employed a global, multicenter supply chain, according to the investigators.

“The toxicity and efficacy of tisagenlecleucel [in this study] were consistent with those in the single-center study, and the feasibility of a global supply chain was demonstrated,” they wrote. “Because this study used cryopreserved leukapheresis product, it did not require fresh product and an open manufacture slot for enrollment.”

This research was sponsored and designed by Novartis Pharmaceuticals. Dr. Maude reported having received personal fees from Novartis as well as grant funding from St. Baldrick’s Foundation.
 

[email protected]

SOURCE: Maude SL, et al. N Engl J Med. 2018;378:439-48.

Tisagenlecleucel was associated with durable remission and long-term persistence for younger patients with relapsed or refractory B-cell acute lymphoblastic leukemia (ALL), according to the results of a multicenter, multicontinent, phase 2 trial published in the New England Journal of Medicine.

Shannon L. Maude, MD, PhD, of the Children’s Hospital of Philadelphia and her coauthors reported that the anti-CD19 chimeric antigen receptor (CAR) therapy was highly toxic, but the effects were usually mitigated. Additionally, the investigators showed feasibility of a global supply chain for distribution of the therapy.

The investigators evaluated data from 75 patients with at least 5% lymphoblasts in their bone marrow at the time of screening. Patients were aged 3 years or older at the time of screening but were no older than 21 years of age at the time of diagnosis.

For 50 patients evaluated at the interim analysis, the primary endpoint of overall remission at 3 months was met, and the overall remission rate was 82% (P less than .001).

An updated analysis showed that 81% of 75 patients who had at least 3 months of follow-up experienced overall remission (95% confidence interval, 71-89). A total of 45 of those patients experienced complete remission, and 16 had complete remission with incomplete hematologic recovery.

Event-free survival was experienced by 73% of patients at 6 months and 50% of patients at 12 months. Overall survival was 90% at 6 months and 76% at 12 months, the investigators reported.

Before tisagenlecleucel infusion, 96% of patients received lymphodepleting chemotherapy. The administration of chemotherapy was not done at the discretion of the investigator if a patient had leukopenia.

The median duration of remission was not reached, and the persistence of tisagenlecleucel in the blood was observed for as long as 20 months.

“The remissions were durable, with a 6-month relapse-free survival rate of 80%,” the investigators wrote. “The durability of the clinical response was associated with persistence of tisagenlecleucel in peripheral blood and with persistent B-cell aplasia.”

The phase 1 study of tisagenlecleucel infusion therapy for younger patients with B-cell ALL showed the toxic nature of the therapy, so investigators were not surprised by the safety data they found. Nearly three-quarters of patients who were evaluated in the study experienced a grade 3 or 4 tisagenlecleucel-related adverse event. Cytokine release syndrome occurred in 77% of patients.

Previously reported data regarding anti-CD19 CAR T-cell therapy for ALL came from single-center studies where manufacturing occurred on site, but the current study employed a global, multicenter supply chain, according to the investigators.

“The toxicity and efficacy of tisagenlecleucel [in this study] were consistent with those in the single-center study, and the feasibility of a global supply chain was demonstrated,” they wrote. “Because this study used cryopreserved leukapheresis product, it did not require fresh product and an open manufacture slot for enrollment.”

This research was sponsored and designed by Novartis Pharmaceuticals. Dr. Maude reported having received personal fees from Novartis as well as grant funding from St. Baldrick’s Foundation.
 

[email protected]

SOURCE: Maude SL, et al. N Engl J Med. 2018;378:439-48.

Among patients with B-cell acute lymphoblastic leukemia (ALL) who received an infusion of 19-28z CAR T cells, patients with low disease burden had better survival outcomes and fewer toxic effects than did patients with a high disease burden, according to long-term follow-up results of a phase 1 study.

Median overall survival for B-cell ALL patients with low disease burden was 20.1 months, compared with 12.4 months for those with a high disease burden (P = .02), and 12.9 months for the entire cohort, according to results published in the New England Journal of Medicine.

The 12.9-month overall survival for the full study cohort “compares favorably” to results from another recently reported clinical trial showing overall survival of 7.7 months for adult B-cell ALL patients treated with blinatumomab, an anti–CD19/CD3 bispecific T-cell engager, wrote Jae H. Park, MD, of the Leukemia Service, Memorial Sloan Kettering Cancer Center, New York, and his coauthors.

The CAR T-cell and blinatumomab results cannot be directly compared owing to the differences in study design, patient characteristics, and posttreatment consolidation, but “the observation of patients with durable remissions in these two studies highlights the potential of CD19-targeted immunotherapies,” Dr. Park and his colleagues wrote in their report.

The phase 1 trial by Dr. Park and his colleagues included 53 adults with relapsed B-cell ALL who received a single infusion of 19-28z CAR T-cell therapy manufactured at Memorial Sloan Kettering Cancer Center.

After the infusion, 41% of patients with high disease burden (at least 5% bone marrow blasts or extramedullary disease) experienced severe cytokine release syndrome, compared with 5% of those with low disease burden, according to the report.

Likewise, neurotoxic effects were seen in 59% of high disease burden B-ALL patients, compared with 14% of those with low disease burden, the investigators reported.

Low disease burden was associated with a higher rate of complete remission, but this finding did not reach statistical significance. However, low disease burden patients not only had improved overall survival, as noted, but also had a significantly longer event-free survival versus high disease burden patients (10.6 and 5.3 months, respectively; P = .01).

Robust expansion of CAR T cells in vivo was a good predictor of short-term response and toxic effects but did not correlate with longer-term efficacy, according to the researchers. Instead, the ratio of peak CAR T-cell expansion to tumor burden correlated significantly with event-free and overall survival.

That finding “raises the hypothesis that an effective ratio of CAR T cells to target CD19+ leukemia cells is more likely to occur in patients with a low disease burden than in those with a high disease burden, despite a smaller number of expanded T cells in patients with a low disease burden,” the investigators wrote.

The study was funded by the Commonwealth Foundation for Cancer Research, Juno Therapeutics, and others. Several study authors reported ties to Juno Therapeutics and other pharmaceutical companies.

SOURCE: Park JH et al. N Engl J Med 2018 Feb 1;378:449-59.

Among patients with B-cell acute lymphoblastic leukemia (ALL) who received an infusion of 19-28z CAR T cells, patients with low disease burden had better survival outcomes and fewer toxic effects than did patients with a high disease burden, according to long-term follow-up results of a phase 1 study.

Median overall survival for B-cell ALL patients with low disease burden was 20.1 months, compared with 12.4 months for those with a high disease burden (P = .02), and 12.9 months for the entire cohort, according to results published in the New England Journal of Medicine.

The 12.9-month overall survival for the full study cohort “compares favorably” to results from another recently reported clinical trial showing overall survival of 7.7 months for adult B-cell ALL patients treated with blinatumomab, an anti–CD19/CD3 bispecific T-cell engager, wrote Jae H. Park, MD, of the Leukemia Service, Memorial Sloan Kettering Cancer Center, New York, and his coauthors.

The CAR T-cell and blinatumomab results cannot be directly compared owing to the differences in study design, patient characteristics, and posttreatment consolidation, but “the observation of patients with durable remissions in these two studies highlights the potential of CD19-targeted immunotherapies,” Dr. Park and his colleagues wrote in their report.

The phase 1 trial by Dr. Park and his colleagues included 53 adults with relapsed B-cell ALL who received a single infusion of 19-28z CAR T-cell therapy manufactured at Memorial Sloan Kettering Cancer Center.

After the infusion, 41% of patients with high disease burden (at least 5% bone marrow blasts or extramedullary disease) experienced severe cytokine release syndrome, compared with 5% of those with low disease burden, according to the report.

Likewise, neurotoxic effects were seen in 59% of high disease burden B-ALL patients, compared with 14% of those with low disease burden, the investigators reported.

Low disease burden was associated with a higher rate of complete remission, but this finding did not reach statistical significance. However, low disease burden patients not only had improved overall survival, as noted, but also had a significantly longer event-free survival versus high disease burden patients (10.6 and 5.3 months, respectively; P = .01).

Robust expansion of CAR T cells in vivo was a good predictor of short-term response and toxic effects but did not correlate with longer-term efficacy, according to the researchers. Instead, the ratio of peak CAR T-cell expansion to tumor burden correlated significantly with event-free and overall survival.

That finding “raises the hypothesis that an effective ratio of CAR T cells to target CD19+ leukemia cells is more likely to occur in patients with a low disease burden than in those with a high disease burden, despite a smaller number of expanded T cells in patients with a low disease burden,” the investigators wrote.

The study was funded by the Commonwealth Foundation for Cancer Research, Juno Therapeutics, and others. Several study authors reported ties to Juno Therapeutics and other pharmaceutical companies.

SOURCE: Park JH et al. N Engl J Med 2018 Feb 1;378:449-59.

Among patients with B-cell acute lymphoblastic leukemia (ALL) who received an infusion of 19-28z CAR T cells, patients with low disease burden had better survival outcomes and fewer toxic effects than did patients with a high disease burden, according to long-term follow-up results of a phase 1 study.

Median overall survival for B-cell ALL patients with low disease burden was 20.1 months, compared with 12.4 months for those with a high disease burden (P = .02), and 12.9 months for the entire cohort, according to results published in the New England Journal of Medicine.

The 12.9-month overall survival for the full study cohort “compares favorably” to results from another recently reported clinical trial showing overall survival of 7.7 months for adult B-cell ALL patients treated with blinatumomab, an anti–CD19/CD3 bispecific T-cell engager, wrote Jae H. Park, MD, of the Leukemia Service, Memorial Sloan Kettering Cancer Center, New York, and his coauthors.

The CAR T-cell and blinatumomab results cannot be directly compared owing to the differences in study design, patient characteristics, and posttreatment consolidation, but “the observation of patients with durable remissions in these two studies highlights the potential of CD19-targeted immunotherapies,” Dr. Park and his colleagues wrote in their report.

The phase 1 trial by Dr. Park and his colleagues included 53 adults with relapsed B-cell ALL who received a single infusion of 19-28z CAR T-cell therapy manufactured at Memorial Sloan Kettering Cancer Center.

After the infusion, 41% of patients with high disease burden (at least 5% bone marrow blasts or extramedullary disease) experienced severe cytokine release syndrome, compared with 5% of those with low disease burden, according to the report.

Likewise, neurotoxic effects were seen in 59% of high disease burden B-ALL patients, compared with 14% of those with low disease burden, the investigators reported.

Low disease burden was associated with a higher rate of complete remission, but this finding did not reach statistical significance. However, low disease burden patients not only had improved overall survival, as noted, but also had a significantly longer event-free survival versus high disease burden patients (10.6 and 5.3 months, respectively; P = .01).

Robust expansion of CAR T cells in vivo was a good predictor of short-term response and toxic effects but did not correlate with longer-term efficacy, according to the researchers. Instead, the ratio of peak CAR T-cell expansion to tumor burden correlated significantly with event-free and overall survival.

That finding “raises the hypothesis that an effective ratio of CAR T cells to target CD19+ leukemia cells is more likely to occur in patients with a low disease burden than in those with a high disease burden, despite a smaller number of expanded T cells in patients with a low disease burden,” the investigators wrote.

The study was funded by the Commonwealth Foundation for Cancer Research, Juno Therapeutics, and others. Several study authors reported ties to Juno Therapeutics and other pharmaceutical companies.

SOURCE: Park JH et al. N Engl J Med 2018 Feb 1;378:449-59.

A single 30-minute coaching session with a physiotherapist within 6 weeks of major upper abdominal surgery significantly reduced postoperative pulmonary complications (PPC), according to the results of a prospective trial.

Ianthe Boden and her colleagues recruited 441 eligible adults scheduled for elective major upper abdominal surgery to participate in the prospective, multicenter, double-blinded, controlled superiority study to assess whether PPC outcomes were affected by preoperative physiotherapy. Consecutive participants were obtained from outpatient preadmission assessment clinics during June 2013 to August 2015; they were assigned randomly in a 1:1 ratio to the control (219) or intervention (222) groups. The median patient age was 68 years for the control and 63 for the intervention group, and each group was composed of 31% women.

monkeybusinessimages/Thinkstock

SOURCE: Boden I et al. BMJ. 2018. doi: 10.1136/bmj.j5916.

A single 30-minute coaching session with a physiotherapist within 6 weeks of major upper abdominal surgery significantly reduced postoperative pulmonary complications (PPC), according to the results of a prospective trial.

Ianthe Boden and her colleagues recruited 441 eligible adults scheduled for elective major upper abdominal surgery to participate in the prospective, multicenter, double-blinded, controlled superiority study to assess whether PPC outcomes were affected by preoperative physiotherapy. Consecutive participants were obtained from outpatient preadmission assessment clinics during June 2013 to August 2015; they were assigned randomly in a 1:1 ratio to the control (219) or intervention (222) groups. The median patient age was 68 years for the control and 63 for the intervention group, and each group was composed of 31% women.

monkeybusinessimages/Thinkstock

SOURCE: Boden I et al. BMJ. 2018. doi: 10.1136/bmj.j5916.

A single 30-minute coaching session with a physiotherapist within 6 weeks of major upper abdominal surgery significantly reduced postoperative pulmonary complications (PPC), according to the results of a prospective trial.

Ianthe Boden and her colleagues recruited 441 eligible adults scheduled for elective major upper abdominal surgery to participate in the prospective, multicenter, double-blinded, controlled superiority study to assess whether PPC outcomes were affected by preoperative physiotherapy. Consecutive participants were obtained from outpatient preadmission assessment clinics during June 2013 to August 2015; they were assigned randomly in a 1:1 ratio to the control (219) or intervention (222) groups. The median patient age was 68 years for the control and 63 for the intervention group, and each group was composed of 31% women.

monkeybusinessimages/Thinkstock

SOURCE: Boden I et al. BMJ. 2018. doi: 10.1136/bmj.j5916.

The 2008 World Health Organization and European Organization for Treatment of Cancer joint classification has distinguished 3 categories of primary cutaneous B-cell lymphomas: primary cutaneous follicle center lymphoma (PCFCL), primary cutaneous diffuse large B-cell lymphoma, and primary cutaneous marginal zone lymphoma.^1-3 Primary cutaneous follicle center lymphoma is the most common type of cutaneous B-cell lymphoma, accounting for approximately 60% of cases worldwide.⁴ The median age at diagnosis is 60 years, and most lesions are located on the scalp, forehead, neck, and trunk.⁵ Histologically, PCFCL is characterized by dermal proliferation of centrocytes and centroblasts derived from germinal center B cells that are arranged in either a follicular, diffuse, or mixed growth pattern.¹ The cutaneous manifestations of PCFCL include solitary erythematous or violaceous plaques, nodules, or tumors of varying sizes.⁴ Grouped lesions also may be observed, but multifocal disease is rare.¹ We report a rare presentation of PCFCL mimicking folliculitis with multiple multifocal papules on the back.

Case Report

A 54-year-old woman presented with fever and leukocytosis of 4 days’ duration and was admitted to the hospital for presumed sepsis. She had a history of mastectomy for treatment of ductal carcinoma in situ of the right breast 5 years prior to the current presentation and endocrine therapy with tamoxifen. Her symptoms were thought to be a complication from a surgery for implantation of a tissue expander in the right breast 5 years prior to presentation.

During her hospital admission, she developed a papular and cystic eruption on the back that was clinically suggestive of folliculitis, transient acantholytic dermatosis (Grover disease), or miliaria rubra (Figure 1). This papular and cystic eruption initially was managed conservatively with observation as she recovered from an occult infection. Due to the persistent nature of the eruption on the back, an excisional biopsy of the cystic component was performed 2 months after her discharge from the hospital. Histologic studies showed a dense infiltrate of lymphocytes, which expanded into the deep dermis in a nodular and diffuse growth pattern that was accentuated in the periadnexal areas. The B lymphocytes were small and hyperchromatic with few scattered centroblasts (Figure 2). Further immunohistochemical studies demonstrated that the neoplastic cells were positive for CD20, CD79a, BCL-2, and BCL-6; CD3, CD5, and cyclin D1 were negative. Staining for antigen Ki-67 revealed a proliferation index of 15% to 20% among the neoplastic cells (Figure 3). These findings were consistent with either PCFCL or secondary cutaneous follicle center lymphoma.

Further evaluation for systemic disease was unremarkable. Positron emission tomography–computed tomography revealed no evidence of nodal lymphoma, and a bone marrow biopsy was negative. Other laboratory studies including lactate dehydrogenase were within reference range, which conferred a diagnosis of PCFCL. The patient was treated with localized electron beam radiation therapy to the skin of the mid back for a total dose of 24 Gy in 12 fractions at 2 Gy per fraction once daily over a 12-day period. She tolerated the treatment well and has remained clinically and radiographically without evidence of disease for more than 3 years.

Comment

Because the incidence of cutaneous B-cell lymphomas has been increasing, especially among males, non-Hispanic whites, and adults older than 50 years,¹ it is important for clinicians to have a high index of suspicion for this entity. In our patient, the clinical findings of a papular, largely asymptomatic eruption on the back with acute onset were initially thought to be consistent with folliculitis; the differential diagnosis included transient acantholytic dermatosis and miliaria rubra. Lymphoma was not in the initial clinical differential, and we only arrived at this diagnosis based on histopathologic evaluation.

The neoplastic cells typically are positive for CD20, CD79a, and BCL-6, and negative for BCL-2.⁴ Most cases of PCFCL do not express the t(14;18) translocation involving the BCL-2 locus, in contrast to systemic follicular lymphoma.¹ Systemic imaging and evaluation is needed to definitively differentiate PCFCL from systemic lymphoma with cutaneous involvement. Our patient was unusual in that BCL-2 was strongly staining in the setting of a negative systemic workup.

With regard to treatment of PCFCL, electron beam radiation therapy is highly effective and safe in patients with solitary lesions, as the remission rate is close to 100%.¹ For patients with multiple lesions confined to one area, electron beam radiation therapy also can be helpful, as in our patient. In patients with more extensive skin involvement, rituximab therapy may be preferable. Relapse following treatment with either radiation or rituximab occurs in approximately one-third of patients, but these relapses generally are limited to the skin.¹ The International Extranodal Lymphoma Study Group has noted that elevated lactate dehydrogenase, presence of more than 2 skin lesions, and presence of nodular lesions are negative prognostic factors in patients with PCFCL⁶; however, PCFCL has an excellent prognosis overall with a 5-year survival rate of 95%.¹

Other rare heterogeneous presentations of PCFCL have been reported in the literature. A large multinodular mass on the scalp with multifocal facial lesions has been described in a patient with essential thrombocytopenia.⁷ Another report identified a variant of PCFCL characterized by multiple erythematous firm papules that were distributed in a miliary pattern, predominantly on the forehead and cheeks.⁸ Barzilai et al⁹ described 4 patients with PCFCL who developed lesions that were clinically similar to rosacea or rhinophyma, including papulonodular eruptions on the cheeks; infiltrated erythematous nasal plaques; and small flesh-colored to erythematous papules on the cheeks, nose, helices, and upper back. Hodak et al¹⁰ identified 2 cases of PCFCL that manifested as anetoderma, a condition characterized by the focal loss of elastic tissue. In the setting of chronic lymphocytic leukemia, PCFCL has been observed as a red or violaceous nodule with a centrally depressed scar on the legs.¹¹ In one case, PCFCL manifested as recurrent episodes of extraorbital swelling and a multifocal red-blue macular lesion that extended from the inferior orbital rim to the nasojugal fold.¹² An interesting presentation of PCFCL was noted as a small, recurring, blood-filled blister on the cheek with perineural spread of the tumor along cranial nerves V2, V3, VII, and VIII.¹³ In the pediatric literature, PCFCL has been reported to present as an erythematous nodule with a smooth surface and a hard elastic consistency that appeared on the nose and nasolabial fold and spread to the ipsilateral cheek, maxillary sinus, and soft palate.¹⁴ In many of these unusual cases, the diagnosis of PCFCL was made after treatment with topical or systemic anti-inflammatory therapies failed.

Increased recognition of anomalous presentations of PCFCL among dermatologists can lead to more timely diagnoses and treatment. Based on our experience with this patient, we recommend considering biopsy for histopathologic evaluation when treating patients with presumed folliculitis or transient acantholytic dermatosis that does not improve with routine treatment or is accompanied by systemic symptoms.

The 2008 World Health Organization and European Organization for Treatment of Cancer joint classification has distinguished 3 categories of primary cutaneous B-cell lymphomas: primary cutaneous follicle center lymphoma (PCFCL), primary cutaneous diffuse large B-cell lymphoma, and primary cutaneous marginal zone lymphoma.^1-3 Primary cutaneous follicle center lymphoma is the most common type of cutaneous B-cell lymphoma, accounting for approximately 60% of cases worldwide.⁴ The median age at diagnosis is 60 years, and most lesions are located on the scalp, forehead, neck, and trunk.⁵ Histologically, PCFCL is characterized by dermal proliferation of centrocytes and centroblasts derived from germinal center B cells that are arranged in either a follicular, diffuse, or mixed growth pattern.¹ The cutaneous manifestations of PCFCL include solitary erythematous or violaceous plaques, nodules, or tumors of varying sizes.⁴ Grouped lesions also may be observed, but multifocal disease is rare.¹ We report a rare presentation of PCFCL mimicking folliculitis with multiple multifocal papules on the back.

Case Report

A 54-year-old woman presented with fever and leukocytosis of 4 days’ duration and was admitted to the hospital for presumed sepsis. She had a history of mastectomy for treatment of ductal carcinoma in situ of the right breast 5 years prior to the current presentation and endocrine therapy with tamoxifen. Her symptoms were thought to be a complication from a surgery for implantation of a tissue expander in the right breast 5 years prior to presentation.

During her hospital admission, she developed a papular and cystic eruption on the back that was clinically suggestive of folliculitis, transient acantholytic dermatosis (Grover disease), or miliaria rubra (Figure 1). This papular and cystic eruption initially was managed conservatively with observation as she recovered from an occult infection. Due to the persistent nature of the eruption on the back, an excisional biopsy of the cystic component was performed 2 months after her discharge from the hospital. Histologic studies showed a dense infiltrate of lymphocytes, which expanded into the deep dermis in a nodular and diffuse growth pattern that was accentuated in the periadnexal areas. The B lymphocytes were small and hyperchromatic with few scattered centroblasts (Figure 2). Further immunohistochemical studies demonstrated that the neoplastic cells were positive for CD20, CD79a, BCL-2, and BCL-6; CD3, CD5, and cyclin D1 were negative. Staining for antigen Ki-67 revealed a proliferation index of 15% to 20% among the neoplastic cells (Figure 3). These findings were consistent with either PCFCL or secondary cutaneous follicle center lymphoma.

Further evaluation for systemic disease was unremarkable. Positron emission tomography–computed tomography revealed no evidence of nodal lymphoma, and a bone marrow biopsy was negative. Other laboratory studies including lactate dehydrogenase were within reference range, which conferred a diagnosis of PCFCL. The patient was treated with localized electron beam radiation therapy to the skin of the mid back for a total dose of 24 Gy in 12 fractions at 2 Gy per fraction once daily over a 12-day period. She tolerated the treatment well and has remained clinically and radiographically without evidence of disease for more than 3 years.

Comment

Because the incidence of cutaneous B-cell lymphomas has been increasing, especially among males, non-Hispanic whites, and adults older than 50 years,¹ it is important for clinicians to have a high index of suspicion for this entity. In our patient, the clinical findings of a papular, largely asymptomatic eruption on the back with acute onset were initially thought to be consistent with folliculitis; the differential diagnosis included transient acantholytic dermatosis and miliaria rubra. Lymphoma was not in the initial clinical differential, and we only arrived at this diagnosis based on histopathologic evaluation.

The neoplastic cells typically are positive for CD20, CD79a, and BCL-6, and negative for BCL-2.⁴ Most cases of PCFCL do not express the t(14;18) translocation involving the BCL-2 locus, in contrast to systemic follicular lymphoma.¹ Systemic imaging and evaluation is needed to definitively differentiate PCFCL from systemic lymphoma with cutaneous involvement. Our patient was unusual in that BCL-2 was strongly staining in the setting of a negative systemic workup.

With regard to treatment of PCFCL, electron beam radiation therapy is highly effective and safe in patients with solitary lesions, as the remission rate is close to 100%.¹ For patients with multiple lesions confined to one area, electron beam radiation therapy also can be helpful, as in our patient. In patients with more extensive skin involvement, rituximab therapy may be preferable. Relapse following treatment with either radiation or rituximab occurs in approximately one-third of patients, but these relapses generally are limited to the skin.¹ The International Extranodal Lymphoma Study Group has noted that elevated lactate dehydrogenase, presence of more than 2 skin lesions, and presence of nodular lesions are negative prognostic factors in patients with PCFCL⁶; however, PCFCL has an excellent prognosis overall with a 5-year survival rate of 95%.¹

Other rare heterogeneous presentations of PCFCL have been reported in the literature. A large multinodular mass on the scalp with multifocal facial lesions has been described in a patient with essential thrombocytopenia.⁷ Another report identified a variant of PCFCL characterized by multiple erythematous firm papules that were distributed in a miliary pattern, predominantly on the forehead and cheeks.⁸ Barzilai et al⁹ described 4 patients with PCFCL who developed lesions that were clinically similar to rosacea or rhinophyma, including papulonodular eruptions on the cheeks; infiltrated erythematous nasal plaques; and small flesh-colored to erythematous papules on the cheeks, nose, helices, and upper back. Hodak et al¹⁰ identified 2 cases of PCFCL that manifested as anetoderma, a condition characterized by the focal loss of elastic tissue. In the setting of chronic lymphocytic leukemia, PCFCL has been observed as a red or violaceous nodule with a centrally depressed scar on the legs.¹¹ In one case, PCFCL manifested as recurrent episodes of extraorbital swelling and a multifocal red-blue macular lesion that extended from the inferior orbital rim to the nasojugal fold.¹² An interesting presentation of PCFCL was noted as a small, recurring, blood-filled blister on the cheek with perineural spread of the tumor along cranial nerves V2, V3, VII, and VIII.¹³ In the pediatric literature, PCFCL has been reported to present as an erythematous nodule with a smooth surface and a hard elastic consistency that appeared on the nose and nasolabial fold and spread to the ipsilateral cheek, maxillary sinus, and soft palate.¹⁴ In many of these unusual cases, the diagnosis of PCFCL was made after treatment with topical or systemic anti-inflammatory therapies failed.

Increased recognition of anomalous presentations of PCFCL among dermatologists can lead to more timely diagnoses and treatment. Based on our experience with this patient, we recommend considering biopsy for histopathologic evaluation when treating patients with presumed folliculitis or transient acantholytic dermatosis that does not improve with routine treatment or is accompanied by systemic symptoms.

The 2008 World Health Organization and European Organization for Treatment of Cancer joint classification has distinguished 3 categories of primary cutaneous B-cell lymphomas: primary cutaneous follicle center lymphoma (PCFCL), primary cutaneous diffuse large B-cell lymphoma, and primary cutaneous marginal zone lymphoma.^1-3 Primary cutaneous follicle center lymphoma is the most common type of cutaneous B-cell lymphoma, accounting for approximately 60% of cases worldwide.⁴ The median age at diagnosis is 60 years, and most lesions are located on the scalp, forehead, neck, and trunk.⁵ Histologically, PCFCL is characterized by dermal proliferation of centrocytes and centroblasts derived from germinal center B cells that are arranged in either a follicular, diffuse, or mixed growth pattern.¹ The cutaneous manifestations of PCFCL include solitary erythematous or violaceous plaques, nodules, or tumors of varying sizes.⁴ Grouped lesions also may be observed, but multifocal disease is rare.¹ We report a rare presentation of PCFCL mimicking folliculitis with multiple multifocal papules on the back.

Case Report

A 54-year-old woman presented with fever and leukocytosis of 4 days’ duration and was admitted to the hospital for presumed sepsis. She had a history of mastectomy for treatment of ductal carcinoma in situ of the right breast 5 years prior to the current presentation and endocrine therapy with tamoxifen. Her symptoms were thought to be a complication from a surgery for implantation of a tissue expander in the right breast 5 years prior to presentation.

During her hospital admission, she developed a papular and cystic eruption on the back that was clinically suggestive of folliculitis, transient acantholytic dermatosis (Grover disease), or miliaria rubra (Figure 1). This papular and cystic eruption initially was managed conservatively with observation as she recovered from an occult infection. Due to the persistent nature of the eruption on the back, an excisional biopsy of the cystic component was performed 2 months after her discharge from the hospital. Histologic studies showed a dense infiltrate of lymphocytes, which expanded into the deep dermis in a nodular and diffuse growth pattern that was accentuated in the periadnexal areas. The B lymphocytes were small and hyperchromatic with few scattered centroblasts (Figure 2). Further immunohistochemical studies demonstrated that the neoplastic cells were positive for CD20, CD79a, BCL-2, and BCL-6; CD3, CD5, and cyclin D1 were negative. Staining for antigen Ki-67 revealed a proliferation index of 15% to 20% among the neoplastic cells (Figure 3). These findings were consistent with either PCFCL or secondary cutaneous follicle center lymphoma.

Further evaluation for systemic disease was unremarkable. Positron emission tomography–computed tomography revealed no evidence of nodal lymphoma, and a bone marrow biopsy was negative. Other laboratory studies including lactate dehydrogenase were within reference range, which conferred a diagnosis of PCFCL. The patient was treated with localized electron beam radiation therapy to the skin of the mid back for a total dose of 24 Gy in 12 fractions at 2 Gy per fraction once daily over a 12-day period. She tolerated the treatment well and has remained clinically and radiographically without evidence of disease for more than 3 years.

Comment

Because the incidence of cutaneous B-cell lymphomas has been increasing, especially among males, non-Hispanic whites, and adults older than 50 years,¹ it is important for clinicians to have a high index of suspicion for this entity. In our patient, the clinical findings of a papular, largely asymptomatic eruption on the back with acute onset were initially thought to be consistent with folliculitis; the differential diagnosis included transient acantholytic dermatosis and miliaria rubra. Lymphoma was not in the initial clinical differential, and we only arrived at this diagnosis based on histopathologic evaluation.

The neoplastic cells typically are positive for CD20, CD79a, and BCL-6, and negative for BCL-2.⁴ Most cases of PCFCL do not express the t(14;18) translocation involving the BCL-2 locus, in contrast to systemic follicular lymphoma.¹ Systemic imaging and evaluation is needed to definitively differentiate PCFCL from systemic lymphoma with cutaneous involvement. Our patient was unusual in that BCL-2 was strongly staining in the setting of a negative systemic workup.

With regard to treatment of PCFCL, electron beam radiation therapy is highly effective and safe in patients with solitary lesions, as the remission rate is close to 100%.¹ For patients with multiple lesions confined to one area, electron beam radiation therapy also can be helpful, as in our patient. In patients with more extensive skin involvement, rituximab therapy may be preferable. Relapse following treatment with either radiation or rituximab occurs in approximately one-third of patients, but these relapses generally are limited to the skin.¹ The International Extranodal Lymphoma Study Group has noted that elevated lactate dehydrogenase, presence of more than 2 skin lesions, and presence of nodular lesions are negative prognostic factors in patients with PCFCL⁶; however, PCFCL has an excellent prognosis overall with a 5-year survival rate of 95%.¹

Other rare heterogeneous presentations of PCFCL have been reported in the literature. A large multinodular mass on the scalp with multifocal facial lesions has been described in a patient with essential thrombocytopenia.⁷ Another report identified a variant of PCFCL characterized by multiple erythematous firm papules that were distributed in a miliary pattern, predominantly on the forehead and cheeks.⁸ Barzilai et al⁹ described 4 patients with PCFCL who developed lesions that were clinically similar to rosacea or rhinophyma, including papulonodular eruptions on the cheeks; infiltrated erythematous nasal plaques; and small flesh-colored to erythematous papules on the cheeks, nose, helices, and upper back. Hodak et al¹⁰ identified 2 cases of PCFCL that manifested as anetoderma, a condition characterized by the focal loss of elastic tissue. In the setting of chronic lymphocytic leukemia, PCFCL has been observed as a red or violaceous nodule with a centrally depressed scar on the legs.¹¹ In one case, PCFCL manifested as recurrent episodes of extraorbital swelling and a multifocal red-blue macular lesion that extended from the inferior orbital rim to the nasojugal fold.¹² An interesting presentation of PCFCL was noted as a small, recurring, blood-filled blister on the cheek with perineural spread of the tumor along cranial nerves V2, V3, VII, and VIII.¹³ In the pediatric literature, PCFCL has been reported to present as an erythematous nodule with a smooth surface and a hard elastic consistency that appeared on the nose and nasolabial fold and spread to the ipsilateral cheek, maxillary sinus, and soft palate.¹⁴ In many of these unusual cases, the diagnosis of PCFCL was made after treatment with topical or systemic anti-inflammatory therapies failed.

Increased recognition of anomalous presentations of PCFCL among dermatologists can lead to more timely diagnoses and treatment. Based on our experience with this patient, we recommend considering biopsy for histopathologic evaluation when treating patients with presumed folliculitis or transient acantholytic dermatosis that does not improve with routine treatment or is accompanied by systemic symptoms.

JACKSONVILLE, FLA. – A scorecard enables spectators at a baseball game to keep track of who the players are, and a scorecard of the surgery team can do the same for inpatients, researchers at Johns Hopkins University in Baltimore found.

They gave patients a “facesheet” that included photographs and biographies of all members of their surgery team, which helped patients to better understand the team members’ roles in their care and led to improvements in overall satisfaction scores, according to a study reported at the Association for Academic Surgery/Society of University Surgeons Academic Surgical Congress.

[email protected]

SOURCE: Dibrito SR et al. Academic Surgical Congress 2018, Abstract 09.04.

JACKSONVILLE, FLA. – A scorecard enables spectators at a baseball game to keep track of who the players are, and a scorecard of the surgery team can do the same for inpatients, researchers at Johns Hopkins University in Baltimore found.

They gave patients a “facesheet” that included photographs and biographies of all members of their surgery team, which helped patients to better understand the team members’ roles in their care and led to improvements in overall satisfaction scores, according to a study reported at the Association for Academic Surgery/Society of University Surgeons Academic Surgical Congress.

[email protected]

SOURCE: Dibrito SR et al. Academic Surgical Congress 2018, Abstract 09.04.

JACKSONVILLE, FLA. – A scorecard enables spectators at a baseball game to keep track of who the players are, and a scorecard of the surgery team can do the same for inpatients, researchers at Johns Hopkins University in Baltimore found.

They gave patients a “facesheet” that included photographs and biographies of all members of their surgery team, which helped patients to better understand the team members’ roles in their care and led to improvements in overall satisfaction scores, according to a study reported at the Association for Academic Surgery/Society of University Surgeons Academic Surgical Congress.

[email protected]

SOURCE: Dibrito SR et al. Academic Surgical Congress 2018, Abstract 09.04.

The Food and Drug Administration announced Jan. 30 that is has issued a MedWatch safety alert on the use of the over-the-counter (OTC) antidiarrhea drug, loperamide.

Currently, the FDA is working with manufacturers to use blister packs or other single-dose packaging and to limit the number of doses in a package.

The alert comes after receiving continuous reports of serious heart problems and deaths with the use of much higher than recommended doses of loperamide, mainly among people who are intentionally misusing or abusing the product, regardless of the addition of a warning to the medicine label and a previous communication. The FDA states that loperamide is a safe drug when used as directed.

Wikimedia Commons/FitzColinGerald/Creative Commons License

[email protected]

The Food and Drug Administration announced Jan. 30 that is has issued a MedWatch safety alert on the use of the over-the-counter (OTC) antidiarrhea drug, loperamide.

Currently, the FDA is working with manufacturers to use blister packs or other single-dose packaging and to limit the number of doses in a package.

The alert comes after receiving continuous reports of serious heart problems and deaths with the use of much higher than recommended doses of loperamide, mainly among people who are intentionally misusing or abusing the product, regardless of the addition of a warning to the medicine label and a previous communication. The FDA states that loperamide is a safe drug when used as directed.

Wikimedia Commons/FitzColinGerald/Creative Commons License

[email protected]

The Food and Drug Administration announced Jan. 30 that is has issued a MedWatch safety alert on the use of the over-the-counter (OTC) antidiarrhea drug, loperamide.

Currently, the FDA is working with manufacturers to use blister packs or other single-dose packaging and to limit the number of doses in a package.

The alert comes after receiving continuous reports of serious heart problems and deaths with the use of much higher than recommended doses of loperamide, mainly among people who are intentionally misusing or abusing the product, regardless of the addition of a warning to the medicine label and a previous communication. The FDA states that loperamide is a safe drug when used as directed.

Wikimedia Commons/FitzColinGerald/Creative Commons License

[email protected]

To the Editor:

A 79-year-old man presented with a scaling eruption in the periorbital area, on the bilateral forearms, and on the chest of 4 weeks’ duration. The patient denied systemic symptoms including lethargy, muscle weakness, and fevers. His medical history was notable for blastic plasmacytoid dendritic cell neoplasm, a form of acute myeloid leukemia, diagnosed 3 years prior to presentation. The patient received an allogeneic hematopoietic stem cell transplant 8 months later. His posttransplant course was complicated by gastrointestinal graft-versus-host disease (GVHD); progressive graft loss requiring a donor lymphocyte infusion after 1 month; and leukemia cutis, which spontaneously resolved after 1 month. The patient was taken off all immunosuppressive therapy 5 months after the transplant and had been doing well for 2 years with only mild mucosal GVHD affecting the oral mucosa and the head of the penis.

Physical examination at the current presentation revealed linear, atrophic, scaling, purplish plaques with adherent white scale on the upper and lower eyelids (Figure 1). The patient also had scattered purple scaling patches on the bilateral forearms and chest. Laboratory tests including complete blood cell count, comprehensive metabolic panel, and lactate dehydrogenase demonstrated no gross abnormalities. Two shave biopsies of the right lower eyelid (Figure 2) and left arm (Figure 3) were performed for histologic examination and revealed basket weave hyperkeratosis, irregular acanthosis, sawtooth rete ridges, and scattered dyskeratotic cells. Vacuolar changes and smudging of the basement membrane zone along with a bandlike lymphocytic infiltrate in the upper dermis also were noted in both biopsies. A diagnosis of lupuslike grade 1 GVHD was made.

Graft-versus-host disease remains a notable cause of morbidity and mortality in allogenic hematopoietic stem cell transplant patients.¹ Skin manifestations represent the most common manifestation of GVHD and have been reclassified as acute or chronic disease based on clinical and histologic findings rather than time of onset. Although acute GVHD classically presents as diffuse morbilliform papules and macules, chronic GVHD has a large range of clinical presentations most commonly mimicking the skin findings of lichen planus, morphea, scleroderma, or lichen sclerosus.¹

Lupuslike GVHD is a rarely reported manifestation of chronic GVHD that predominantly affects the lower eyelids and malar regions.^2,3 Our case documents extensive involvement of both the upper and lower eyelids. A lupuslike manifestation of GVHD may portend a poor prognosis. In a case series of 5 patients with chronic GVHD presenting as facial lupuslike plaques, 1 patient died from a relapse of leukemia and 3 patients developed sclerodermatous GVHD. The fifth patient was lost to follow-up.² In another case series, a retrospective analysis discovered that 3 of 7 patients with sclerodermatous GVHD initially presented with hyperpigmented periorbital plaques.⁴ Resolution of skin findings with topical steroids and oral tacrolimus was reported in a case of GVHD presenting with periorbital lupuslike plaques.³ Although further reports are needed to validate the relationship, a lupuslike presentation of chronic GVHD may be an important harbinger for the development of extensive sclerodermatous GVHD.

A diagnosis of lupuslike GVHD is made based on the correlation of a comprehensive medical history, clinical examination, and histopathologic findings. Although other cases of chronic GVHD resembling dermatomyositis presented with purple periorbital plaques, these patients demonstrated dermatomyositislike systemic symptoms including muscle weakness and fatigue, which were not present in our patient.^5,6 Antinuclear antibody (ANA) testing is unlikely to be helpful in the diagnosis of this uncommon presentation, as 65% (41/63) of chronic GVHD patients developed ANA antibodies in one study.⁷ Also, other patients with lupuslike GVHD who progressed to sclerodermatous GVHD have had both positive and negative ANA serology.² The histopathology of GVHD and lupus erythematosus can exhibit overlapping features, such as lymphocytic infiltrate with interface changes; however, in lupus erythematosus, mucin usually is present, the infiltrate usually is denser and deeper, and a thickened basement membrane zone may be present. Necrotic keratinocytes also usually are not seen in lupus erythematosus unless the patient’s photosensitivity has led to a sunburn reaction.

After his initial presentation, our patient’s mucosal GVHD flared in the mouth and on the penis, and he was started on prednisone 50 mg once daily and mycophenolate mofetil 1 g twice daily. With this treatment, our patient’s periorbital scaling plaques resolved to residual hyperpigmentation along with remarkable improvement of the mucosal GVHD. He has not manifested any signs of leukemia relapse or sclerodermatous GVHD; however, he remains under close clinical evaluation.

This case highlights an unusual presentation of GVHD with periorbital plaques mimicking hypertrophic lupus erythematous. A greater recognition of this rare entity is essential to further elucidate its prognosis and its relationship with sclerodermatous GVHD.

To the Editor:

A 79-year-old man presented with a scaling eruption in the periorbital area, on the bilateral forearms, and on the chest of 4 weeks’ duration. The patient denied systemic symptoms including lethargy, muscle weakness, and fevers. His medical history was notable for blastic plasmacytoid dendritic cell neoplasm, a form of acute myeloid leukemia, diagnosed 3 years prior to presentation. The patient received an allogeneic hematopoietic stem cell transplant 8 months later. His posttransplant course was complicated by gastrointestinal graft-versus-host disease (GVHD); progressive graft loss requiring a donor lymphocyte infusion after 1 month; and leukemia cutis, which spontaneously resolved after 1 month. The patient was taken off all immunosuppressive therapy 5 months after the transplant and had been doing well for 2 years with only mild mucosal GVHD affecting the oral mucosa and the head of the penis.

Physical examination at the current presentation revealed linear, atrophic, scaling, purplish plaques with adherent white scale on the upper and lower eyelids (Figure 1). The patient also had scattered purple scaling patches on the bilateral forearms and chest. Laboratory tests including complete blood cell count, comprehensive metabolic panel, and lactate dehydrogenase demonstrated no gross abnormalities. Two shave biopsies of the right lower eyelid (Figure 2) and left arm (Figure 3) were performed for histologic examination and revealed basket weave hyperkeratosis, irregular acanthosis, sawtooth rete ridges, and scattered dyskeratotic cells. Vacuolar changes and smudging of the basement membrane zone along with a bandlike lymphocytic infiltrate in the upper dermis also were noted in both biopsies. A diagnosis of lupuslike grade 1 GVHD was made.

Graft-versus-host disease remains a notable cause of morbidity and mortality in allogenic hematopoietic stem cell transplant patients.¹ Skin manifestations represent the most common manifestation of GVHD and have been reclassified as acute or chronic disease based on clinical and histologic findings rather than time of onset. Although acute GVHD classically presents as diffuse morbilliform papules and macules, chronic GVHD has a large range of clinical presentations most commonly mimicking the skin findings of lichen planus, morphea, scleroderma, or lichen sclerosus.¹

Lupuslike GVHD is a rarely reported manifestation of chronic GVHD that predominantly affects the lower eyelids and malar regions.^2,3 Our case documents extensive involvement of both the upper and lower eyelids. A lupuslike manifestation of GVHD may portend a poor prognosis. In a case series of 5 patients with chronic GVHD presenting as facial lupuslike plaques, 1 patient died from a relapse of leukemia and 3 patients developed sclerodermatous GVHD. The fifth patient was lost to follow-up.² In another case series, a retrospective analysis discovered that 3 of 7 patients with sclerodermatous GVHD initially presented with hyperpigmented periorbital plaques.⁴ Resolution of skin findings with topical steroids and oral tacrolimus was reported in a case of GVHD presenting with periorbital lupuslike plaques.³ Although further reports are needed to validate the relationship, a lupuslike presentation of chronic GVHD may be an important harbinger for the development of extensive sclerodermatous GVHD.

A diagnosis of lupuslike GVHD is made based on the correlation of a comprehensive medical history, clinical examination, and histopathologic findings. Although other cases of chronic GVHD resembling dermatomyositis presented with purple periorbital plaques, these patients demonstrated dermatomyositislike systemic symptoms including muscle weakness and fatigue, which were not present in our patient.^5,6 Antinuclear antibody (ANA) testing is unlikely to be helpful in the diagnosis of this uncommon presentation, as 65% (41/63) of chronic GVHD patients developed ANA antibodies in one study.⁷ Also, other patients with lupuslike GVHD who progressed to sclerodermatous GVHD have had both positive and negative ANA serology.² The histopathology of GVHD and lupus erythematosus can exhibit overlapping features, such as lymphocytic infiltrate with interface changes; however, in lupus erythematosus, mucin usually is present, the infiltrate usually is denser and deeper, and a thickened basement membrane zone may be present. Necrotic keratinocytes also usually are not seen in lupus erythematosus unless the patient’s photosensitivity has led to a sunburn reaction.

After his initial presentation, our patient’s mucosal GVHD flared in the mouth and on the penis, and he was started on prednisone 50 mg once daily and mycophenolate mofetil 1 g twice daily. With this treatment, our patient’s periorbital scaling plaques resolved to residual hyperpigmentation along with remarkable improvement of the mucosal GVHD. He has not manifested any signs of leukemia relapse or sclerodermatous GVHD; however, he remains under close clinical evaluation.

This case highlights an unusual presentation of GVHD with periorbital plaques mimicking hypertrophic lupus erythematous. A greater recognition of this rare entity is essential to further elucidate its prognosis and its relationship with sclerodermatous GVHD.

To the Editor:

A 79-year-old man presented with a scaling eruption in the periorbital area, on the bilateral forearms, and on the chest of 4 weeks’ duration. The patient denied systemic symptoms including lethargy, muscle weakness, and fevers. His medical history was notable for blastic plasmacytoid dendritic cell neoplasm, a form of acute myeloid leukemia, diagnosed 3 years prior to presentation. The patient received an allogeneic hematopoietic stem cell transplant 8 months later. His posttransplant course was complicated by gastrointestinal graft-versus-host disease (GVHD); progressive graft loss requiring a donor lymphocyte infusion after 1 month; and leukemia cutis, which spontaneously resolved after 1 month. The patient was taken off all immunosuppressive therapy 5 months after the transplant and had been doing well for 2 years with only mild mucosal GVHD affecting the oral mucosa and the head of the penis.

Physical examination at the current presentation revealed linear, atrophic, scaling, purplish plaques with adherent white scale on the upper and lower eyelids (Figure 1). The patient also had scattered purple scaling patches on the bilateral forearms and chest. Laboratory tests including complete blood cell count, comprehensive metabolic panel, and lactate dehydrogenase demonstrated no gross abnormalities. Two shave biopsies of the right lower eyelid (Figure 2) and left arm (Figure 3) were performed for histologic examination and revealed basket weave hyperkeratosis, irregular acanthosis, sawtooth rete ridges, and scattered dyskeratotic cells. Vacuolar changes and smudging of the basement membrane zone along with a bandlike lymphocytic infiltrate in the upper dermis also were noted in both biopsies. A diagnosis of lupuslike grade 1 GVHD was made.

Graft-versus-host disease remains a notable cause of morbidity and mortality in allogenic hematopoietic stem cell transplant patients.¹ Skin manifestations represent the most common manifestation of GVHD and have been reclassified as acute or chronic disease based on clinical and histologic findings rather than time of onset. Although acute GVHD classically presents as diffuse morbilliform papules and macules, chronic GVHD has a large range of clinical presentations most commonly mimicking the skin findings of lichen planus, morphea, scleroderma, or lichen sclerosus.¹

Lupuslike GVHD is a rarely reported manifestation of chronic GVHD that predominantly affects the lower eyelids and malar regions.^2,3 Our case documents extensive involvement of both the upper and lower eyelids. A lupuslike manifestation of GVHD may portend a poor prognosis. In a case series of 5 patients with chronic GVHD presenting as facial lupuslike plaques, 1 patient died from a relapse of leukemia and 3 patients developed sclerodermatous GVHD. The fifth patient was lost to follow-up.² In another case series, a retrospective analysis discovered that 3 of 7 patients with sclerodermatous GVHD initially presented with hyperpigmented periorbital plaques.⁴ Resolution of skin findings with topical steroids and oral tacrolimus was reported in a case of GVHD presenting with periorbital lupuslike plaques.³ Although further reports are needed to validate the relationship, a lupuslike presentation of chronic GVHD may be an important harbinger for the development of extensive sclerodermatous GVHD.

A diagnosis of lupuslike GVHD is made based on the correlation of a comprehensive medical history, clinical examination, and histopathologic findings. Although other cases of chronic GVHD resembling dermatomyositis presented with purple periorbital plaques, these patients demonstrated dermatomyositislike systemic symptoms including muscle weakness and fatigue, which were not present in our patient.^5,6 Antinuclear antibody (ANA) testing is unlikely to be helpful in the diagnosis of this uncommon presentation, as 65% (41/63) of chronic GVHD patients developed ANA antibodies in one study.⁷ Also, other patients with lupuslike GVHD who progressed to sclerodermatous GVHD have had both positive and negative ANA serology.² The histopathology of GVHD and lupus erythematosus can exhibit overlapping features, such as lymphocytic infiltrate with interface changes; however, in lupus erythematosus, mucin usually is present, the infiltrate usually is denser and deeper, and a thickened basement membrane zone may be present. Necrotic keratinocytes also usually are not seen in lupus erythematosus unless the patient’s photosensitivity has led to a sunburn reaction.

After his initial presentation, our patient’s mucosal GVHD flared in the mouth and on the penis, and he was started on prednisone 50 mg once daily and mycophenolate mofetil 1 g twice daily. With this treatment, our patient’s periorbital scaling plaques resolved to residual hyperpigmentation along with remarkable improvement of the mucosal GVHD. He has not manifested any signs of leukemia relapse or sclerodermatous GVHD; however, he remains under close clinical evaluation.

This case highlights an unusual presentation of GVHD with periorbital plaques mimicking hypertrophic lupus erythematous. A greater recognition of this rare entity is essential to further elucidate its prognosis and its relationship with sclerodermatous GVHD.