Capturing Pathology Workload Required for a Precision Oncology Molecular Test (POMT)

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Background

Precision oncology has made nextgeneration sequencing a part of daily practice. With indications for comprehensive genomic profiling expanding, there will be further attendant increases in pathology workload. The pathology workforce shortage is one of the greatest barriers to precision oncology and an understanding of pathology workload associated with POMTs is necessary to address this barrier and plan for the future.

Methods

In this presentation we aim to provide, or at least contribute to, such an understanding through a review of the process at our site and measurement of associated time for each step. We began by conceptualizing the process in order to develop a process map. We then measured the average time for each step. We reviewed our anatomic pathology records for 2021 to determine the number of POMTs then calculated cumulative time investment on POMTs. A theoretical number of relative value units (RVUs) for POMTs was calculated using the new pathology clinical consultation CPT codes (80503-80506), and this was compared to the total anatomic pathology RVUs actually generated in 2021.

Results

Of the 7007 anatomic pathology cases, there were 706 cancers and 446 that required POMTs. At our institution, it was determined that on average 1.5 hours – about 50 minutes of pathologist time and 40 minutes of technician time – was needed to complete the tasks necessary to fulfillment of requests for POMTs. For all of 2021, 669 hours of pathology staff time were dedicated to POMTs. With the ability to bill for this time, we would have generated 13.2% (1142/8640) more anatomic pathology RVUs.

Conculsions

In light of this, we have implemented measures to bill for these formerly uncaptured activities such that our documented productivity more accurately reflects our workload. This will hopefully result in more appropriate resource allocation such that the barrier created by pathology understaffing is recast as a buttress in support of precision oncology practice.

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Background

Precision oncology has made nextgeneration sequencing a part of daily practice. With indications for comprehensive genomic profiling expanding, there will be further attendant increases in pathology workload. The pathology workforce shortage is one of the greatest barriers to precision oncology and an understanding of pathology workload associated with POMTs is necessary to address this barrier and plan for the future.

Methods

In this presentation we aim to provide, or at least contribute to, such an understanding through a review of the process at our site and measurement of associated time for each step. We began by conceptualizing the process in order to develop a process map. We then measured the average time for each step. We reviewed our anatomic pathology records for 2021 to determine the number of POMTs then calculated cumulative time investment on POMTs. A theoretical number of relative value units (RVUs) for POMTs was calculated using the new pathology clinical consultation CPT codes (80503-80506), and this was compared to the total anatomic pathology RVUs actually generated in 2021.

Results

Of the 7007 anatomic pathology cases, there were 706 cancers and 446 that required POMTs. At our institution, it was determined that on average 1.5 hours – about 50 minutes of pathologist time and 40 minutes of technician time – was needed to complete the tasks necessary to fulfillment of requests for POMTs. For all of 2021, 669 hours of pathology staff time were dedicated to POMTs. With the ability to bill for this time, we would have generated 13.2% (1142/8640) more anatomic pathology RVUs.

Conculsions

In light of this, we have implemented measures to bill for these formerly uncaptured activities such that our documented productivity more accurately reflects our workload. This will hopefully result in more appropriate resource allocation such that the barrier created by pathology understaffing is recast as a buttress in support of precision oncology practice.

Background

Precision oncology has made nextgeneration sequencing a part of daily practice. With indications for comprehensive genomic profiling expanding, there will be further attendant increases in pathology workload. The pathology workforce shortage is one of the greatest barriers to precision oncology and an understanding of pathology workload associated with POMTs is necessary to address this barrier and plan for the future.

Methods

In this presentation we aim to provide, or at least contribute to, such an understanding through a review of the process at our site and measurement of associated time for each step. We began by conceptualizing the process in order to develop a process map. We then measured the average time for each step. We reviewed our anatomic pathology records for 2021 to determine the number of POMTs then calculated cumulative time investment on POMTs. A theoretical number of relative value units (RVUs) for POMTs was calculated using the new pathology clinical consultation CPT codes (80503-80506), and this was compared to the total anatomic pathology RVUs actually generated in 2021.

Results

Of the 7007 anatomic pathology cases, there were 706 cancers and 446 that required POMTs. At our institution, it was determined that on average 1.5 hours – about 50 minutes of pathologist time and 40 minutes of technician time – was needed to complete the tasks necessary to fulfillment of requests for POMTs. For all of 2021, 669 hours of pathology staff time were dedicated to POMTs. With the ability to bill for this time, we would have generated 13.2% (1142/8640) more anatomic pathology RVUs.

Conculsions

In light of this, we have implemented measures to bill for these formerly uncaptured activities such that our documented productivity more accurately reflects our workload. This will hopefully result in more appropriate resource allocation such that the barrier created by pathology understaffing is recast as a buttress in support of precision oncology practice.

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A Rare Case of HHV8+ Multicentric Castleman Disease Presenting as Dermatitis

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Introduction

Castleman disease (CD) is a rare non-neoplastic disorder presenting as lymphadenopathy. Skin involvement and progression to lymphomas are uncommon, and such presentation can pose a diagnostic challenge. We describe an interesting case of multicentric CD presenting as a rash.

Case Description

A 79-year-old male presented with a 1-year history of blanchable maculopapular rash and new onset dyspnea in the absence of fever, fatigue or weight loss. Examination revealed axillary, cervical and inguinal lymphadenopathy, and firm splenomegaly. Initial labs were notable for leukocytosis, occasional lymphoplasmacytic cells, anemia, thrombocytopenia, negative HIV screen, and elevated ESR and LDH. Further testing identified polyclonal hypergammaglobulinemia. CT scans revealed generalized lymphadenopathy, splenomegaly with infarcts and unilateral pleural effusion. An inguinal lymph node needle biopsy, skin biopsy and pleural fluid cytology were concerning for lymphoplasmacytic, so he was started on rituximab and bendamustine. However, B cell clonality could not be demonstrated, making these findings concerning for Castleman disease.

Results

Human herpesvirus 8 (HHV-8) testing performed on the inguinal lymph node sample came out positive, and he was diagnosed with HHV-8 positive multicentric Castleman disease and continued on weekly rituximab. He demonstrated an excellent response with complete resolution of rash, palpable lymphadenopathy and anemia after 4 cycles of treatment.

Discussion

Castleman disease (CD) is a rare disorder of polyclonal B cell proliferation classically presenting as lymphadenopathy with constitutional symptoms. Cutaneous presentations include eruptive angiomas or petechial rash but can be variable. Intrinsic or viral IL-6 play a key role in the pathogenesis of the disease. CD can be localised or multicentric (related to HHV-8 +/- HIV or idiopathic), and these subtypes differ in prognosis and management, with HIV and HHV-8 co-positivity indicating worse outcomes. While human IL-6 in unicentric and idiopathic multicentric disease respond well to IL-6 receptor antagonists, viral IL-6 in HHV-8 associated cases has a limited response. This is the rationale for preferring anti-CD20 therapy with rituximab in these patients.

Conculsions

Correct biopsy specimen, keen analysis of distinct pathologic features, and HHV-8 testing on tissue sample guide the diagnosis as HHV-8 serology can be falsely negative.

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Introduction

Castleman disease (CD) is a rare non-neoplastic disorder presenting as lymphadenopathy. Skin involvement and progression to lymphomas are uncommon, and such presentation can pose a diagnostic challenge. We describe an interesting case of multicentric CD presenting as a rash.

Case Description

A 79-year-old male presented with a 1-year history of blanchable maculopapular rash and new onset dyspnea in the absence of fever, fatigue or weight loss. Examination revealed axillary, cervical and inguinal lymphadenopathy, and firm splenomegaly. Initial labs were notable for leukocytosis, occasional lymphoplasmacytic cells, anemia, thrombocytopenia, negative HIV screen, and elevated ESR and LDH. Further testing identified polyclonal hypergammaglobulinemia. CT scans revealed generalized lymphadenopathy, splenomegaly with infarcts and unilateral pleural effusion. An inguinal lymph node needle biopsy, skin biopsy and pleural fluid cytology were concerning for lymphoplasmacytic, so he was started on rituximab and bendamustine. However, B cell clonality could not be demonstrated, making these findings concerning for Castleman disease.

Results

Human herpesvirus 8 (HHV-8) testing performed on the inguinal lymph node sample came out positive, and he was diagnosed with HHV-8 positive multicentric Castleman disease and continued on weekly rituximab. He demonstrated an excellent response with complete resolution of rash, palpable lymphadenopathy and anemia after 4 cycles of treatment.

Discussion

Castleman disease (CD) is a rare disorder of polyclonal B cell proliferation classically presenting as lymphadenopathy with constitutional symptoms. Cutaneous presentations include eruptive angiomas or petechial rash but can be variable. Intrinsic or viral IL-6 play a key role in the pathogenesis of the disease. CD can be localised or multicentric (related to HHV-8 +/- HIV or idiopathic), and these subtypes differ in prognosis and management, with HIV and HHV-8 co-positivity indicating worse outcomes. While human IL-6 in unicentric and idiopathic multicentric disease respond well to IL-6 receptor antagonists, viral IL-6 in HHV-8 associated cases has a limited response. This is the rationale for preferring anti-CD20 therapy with rituximab in these patients.

Conculsions

Correct biopsy specimen, keen analysis of distinct pathologic features, and HHV-8 testing on tissue sample guide the diagnosis as HHV-8 serology can be falsely negative.

Introduction

Castleman disease (CD) is a rare non-neoplastic disorder presenting as lymphadenopathy. Skin involvement and progression to lymphomas are uncommon, and such presentation can pose a diagnostic challenge. We describe an interesting case of multicentric CD presenting as a rash.

Case Description

A 79-year-old male presented with a 1-year history of blanchable maculopapular rash and new onset dyspnea in the absence of fever, fatigue or weight loss. Examination revealed axillary, cervical and inguinal lymphadenopathy, and firm splenomegaly. Initial labs were notable for leukocytosis, occasional lymphoplasmacytic cells, anemia, thrombocytopenia, negative HIV screen, and elevated ESR and LDH. Further testing identified polyclonal hypergammaglobulinemia. CT scans revealed generalized lymphadenopathy, splenomegaly with infarcts and unilateral pleural effusion. An inguinal lymph node needle biopsy, skin biopsy and pleural fluid cytology were concerning for lymphoplasmacytic, so he was started on rituximab and bendamustine. However, B cell clonality could not be demonstrated, making these findings concerning for Castleman disease.

Results

Human herpesvirus 8 (HHV-8) testing performed on the inguinal lymph node sample came out positive, and he was diagnosed with HHV-8 positive multicentric Castleman disease and continued on weekly rituximab. He demonstrated an excellent response with complete resolution of rash, palpable lymphadenopathy and anemia after 4 cycles of treatment.

Discussion

Castleman disease (CD) is a rare disorder of polyclonal B cell proliferation classically presenting as lymphadenopathy with constitutional symptoms. Cutaneous presentations include eruptive angiomas or petechial rash but can be variable. Intrinsic or viral IL-6 play a key role in the pathogenesis of the disease. CD can be localised or multicentric (related to HHV-8 +/- HIV or idiopathic), and these subtypes differ in prognosis and management, with HIV and HHV-8 co-positivity indicating worse outcomes. While human IL-6 in unicentric and idiopathic multicentric disease respond well to IL-6 receptor antagonists, viral IL-6 in HHV-8 associated cases has a limited response. This is the rationale for preferring anti-CD20 therapy with rituximab in these patients.

Conculsions

Correct biopsy specimen, keen analysis of distinct pathologic features, and HHV-8 testing on tissue sample guide the diagnosis as HHV-8 serology can be falsely negative.

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Identification of Clinically Actionable Genomic Alterations in Colorectal Cancer Patients From the VA National Precision Oncology Program (NPOP)

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Purpose

Colorectal cancer (CRC) is the fourth most common cancer at VA and the third leading cause of cancer-related death in the USA. The VA National Precision Oncology Program (NPOP) was established in 2016 with the goal of implementing standardized, streamlined methods for molecular testing of veterans with cancer and has enabled comprehensive genomic profiling (CGP) and precision medicine as part of routine cancer care. Obtaining CGP of predictive biomarkers in cancer tissue, including mutations in genes (e.g., KRAS, NRAS and BRAF), tumor mutation burden (TMB) and microsatellite instability status (MSI) can be used to support treatment decisions with targeted and immunotherapies.

Methods

In this study we describe the frequencies of these clinical biomarkers in colon adenocarcinoma (COAD), rectal adenocarcinoma (READ), and other colon or rectum histologies (CROT); and compare these frequencies to a published cohort of metastatic CRC using Chi-square test (Yaeger et al., 2018).

Results

A total of 1802 patients with CRC were included in this study. COAD was the most frequent disease site (76.9%) followed by READ (19.1%). Approximately 52.9% of COAD patients harbored at least one highly actionable biomarker (defined as having an FDA-approved indication) including NRAS/ KRAS/BRAF wildtype (38.0%), TMB-H (12.9%), BRAF V600E (9.7%), MSI-H (8.9%), and NTRK fusion or rearrangement (0.3%). About 52.0% of patients with READ had these biomarkers, while this rate was (16.4%) in CROT. Among patients with COAD and READ, those with BRAF V600E mutations were more likely to be older, White, not Hispanic or Latino, and lived in urban areas compared to those without BRAF V600E. Relative to those with NRAS/KRAS/BRAF mutations, patients with NRAS/KRAS/BRAF wildtype were frequently younger. Relative to the frequency of biomarkers from a cBioPortal cohort of metastatic CRC, the frequency of NRAS wildtype was significantly lower in patients with COAD and READ tested through NPOP. 

Consulsions

In this cohort, ~53 % of patients with COAD and 52% of patients with READ have highly actionable biomarkers and are potentially eligible for FDAapproved targeted therapies. Future studies examining cancer outcomes with regard to the use of targeted therapies in the setting of actionable gene alterations, TMB, and MSI are warranted.

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Purpose

Colorectal cancer (CRC) is the fourth most common cancer at VA and the third leading cause of cancer-related death in the USA. The VA National Precision Oncology Program (NPOP) was established in 2016 with the goal of implementing standardized, streamlined methods for molecular testing of veterans with cancer and has enabled comprehensive genomic profiling (CGP) and precision medicine as part of routine cancer care. Obtaining CGP of predictive biomarkers in cancer tissue, including mutations in genes (e.g., KRAS, NRAS and BRAF), tumor mutation burden (TMB) and microsatellite instability status (MSI) can be used to support treatment decisions with targeted and immunotherapies.

Methods

In this study we describe the frequencies of these clinical biomarkers in colon adenocarcinoma (COAD), rectal adenocarcinoma (READ), and other colon or rectum histologies (CROT); and compare these frequencies to a published cohort of metastatic CRC using Chi-square test (Yaeger et al., 2018).

Results

A total of 1802 patients with CRC were included in this study. COAD was the most frequent disease site (76.9%) followed by READ (19.1%). Approximately 52.9% of COAD patients harbored at least one highly actionable biomarker (defined as having an FDA-approved indication) including NRAS/ KRAS/BRAF wildtype (38.0%), TMB-H (12.9%), BRAF V600E (9.7%), MSI-H (8.9%), and NTRK fusion or rearrangement (0.3%). About 52.0% of patients with READ had these biomarkers, while this rate was (16.4%) in CROT. Among patients with COAD and READ, those with BRAF V600E mutations were more likely to be older, White, not Hispanic or Latino, and lived in urban areas compared to those without BRAF V600E. Relative to those with NRAS/KRAS/BRAF mutations, patients with NRAS/KRAS/BRAF wildtype were frequently younger. Relative to the frequency of biomarkers from a cBioPortal cohort of metastatic CRC, the frequency of NRAS wildtype was significantly lower in patients with COAD and READ tested through NPOP. 

Consulsions

In this cohort, ~53 % of patients with COAD and 52% of patients with READ have highly actionable biomarkers and are potentially eligible for FDAapproved targeted therapies. Future studies examining cancer outcomes with regard to the use of targeted therapies in the setting of actionable gene alterations, TMB, and MSI are warranted.

Purpose

Colorectal cancer (CRC) is the fourth most common cancer at VA and the third leading cause of cancer-related death in the USA. The VA National Precision Oncology Program (NPOP) was established in 2016 with the goal of implementing standardized, streamlined methods for molecular testing of veterans with cancer and has enabled comprehensive genomic profiling (CGP) and precision medicine as part of routine cancer care. Obtaining CGP of predictive biomarkers in cancer tissue, including mutations in genes (e.g., KRAS, NRAS and BRAF), tumor mutation burden (TMB) and microsatellite instability status (MSI) can be used to support treatment decisions with targeted and immunotherapies.

Methods

In this study we describe the frequencies of these clinical biomarkers in colon adenocarcinoma (COAD), rectal adenocarcinoma (READ), and other colon or rectum histologies (CROT); and compare these frequencies to a published cohort of metastatic CRC using Chi-square test (Yaeger et al., 2018).

Results

A total of 1802 patients with CRC were included in this study. COAD was the most frequent disease site (76.9%) followed by READ (19.1%). Approximately 52.9% of COAD patients harbored at least one highly actionable biomarker (defined as having an FDA-approved indication) including NRAS/ KRAS/BRAF wildtype (38.0%), TMB-H (12.9%), BRAF V600E (9.7%), MSI-H (8.9%), and NTRK fusion or rearrangement (0.3%). About 52.0% of patients with READ had these biomarkers, while this rate was (16.4%) in CROT. Among patients with COAD and READ, those with BRAF V600E mutations were more likely to be older, White, not Hispanic or Latino, and lived in urban areas compared to those without BRAF V600E. Relative to those with NRAS/KRAS/BRAF mutations, patients with NRAS/KRAS/BRAF wildtype were frequently younger. Relative to the frequency of biomarkers from a cBioPortal cohort of metastatic CRC, the frequency of NRAS wildtype was significantly lower in patients with COAD and READ tested through NPOP. 

Consulsions

In this cohort, ~53 % of patients with COAD and 52% of patients with READ have highly actionable biomarkers and are potentially eligible for FDAapproved targeted therapies. Future studies examining cancer outcomes with regard to the use of targeted therapies in the setting of actionable gene alterations, TMB, and MSI are warranted.

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Evaluation of the Prostate Cancer Molecular Testing Pathway (PCMTP) Within the Veterans Health Administration (VHA)

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Purpose

The PCMTP was developed to provide standardized decision support for molecular testing for veterans with prostate cancer.

Background

Prior to the precision medicine era, molecular tumor testing in prostate cancer was not standard of care. Field practitioners were unfamiliar with the role of molecular testing in clinical care. The PCMTP provides direction for germline and tumor testing in appropriate patients with prostate cancer. The expectation is that at least 80% of veterans will be pathway adherent. The PCMTP is an Oncology Clinical Pathway (OCP) that supports evidence-based practice providing highquality, safe, and cost-effective care for veterans reducing variability of care in the VHA.

Methods

The National Oncology Program Office assembled a Prostate Cancer Team (PCT) to develop OCPs. The pathways were incorporated into note templates that record clinical decisions using text and metadata (Health Factors [HF]), and record pathway adherence for the 4 key nodes of the PCMTP. The templates were pilot-tested and improved using an iterative process over a 3-month period. Further evaluation was conducted by the Office of Human Factors Engineering and the National Clinical Template Workgroup, utilizing a heuristic evaluation to ensure standardization, interoperability, and reduce duplication. HF data were retrieved from the Corporate Data Warehouse using a custom-built dashboard. Descriptive statistics of PCMTP use are presented.

Results

Between 4/1/2021 and 6/22/2022, 6276 health factors were generated from 1707 unique veterans in whom this clinical pathway was accessed. 328 distinct providers participated at 61 sites. Average veteran age was 73 years. (range 45-100) including 42% Black and 56% White. Of 1243 veterans considered for germline testing, 96.6% had germline testing ordered and for 1102 veterans considered for tumor testing, 93.3% had tumor testing ordered.

Conclusions

Pathway adherence exceeded the 80% benchmark. Race representation was diverse and reflective of the VA prostate cancer population. About 46% of VA oncology practices have used the PCMTP for ~11% of the estimated 15,000 veterans with metastatic prostate cancer in VHA. Increased use of this pathway is expected to improve outcomes for veterans with prostate cancer

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Purpose

The PCMTP was developed to provide standardized decision support for molecular testing for veterans with prostate cancer.

Background

Prior to the precision medicine era, molecular tumor testing in prostate cancer was not standard of care. Field practitioners were unfamiliar with the role of molecular testing in clinical care. The PCMTP provides direction for germline and tumor testing in appropriate patients with prostate cancer. The expectation is that at least 80% of veterans will be pathway adherent. The PCMTP is an Oncology Clinical Pathway (OCP) that supports evidence-based practice providing highquality, safe, and cost-effective care for veterans reducing variability of care in the VHA.

Methods

The National Oncology Program Office assembled a Prostate Cancer Team (PCT) to develop OCPs. The pathways were incorporated into note templates that record clinical decisions using text and metadata (Health Factors [HF]), and record pathway adherence for the 4 key nodes of the PCMTP. The templates were pilot-tested and improved using an iterative process over a 3-month period. Further evaluation was conducted by the Office of Human Factors Engineering and the National Clinical Template Workgroup, utilizing a heuristic evaluation to ensure standardization, interoperability, and reduce duplication. HF data were retrieved from the Corporate Data Warehouse using a custom-built dashboard. Descriptive statistics of PCMTP use are presented.

Results

Between 4/1/2021 and 6/22/2022, 6276 health factors were generated from 1707 unique veterans in whom this clinical pathway was accessed. 328 distinct providers participated at 61 sites. Average veteran age was 73 years. (range 45-100) including 42% Black and 56% White. Of 1243 veterans considered for germline testing, 96.6% had germline testing ordered and for 1102 veterans considered for tumor testing, 93.3% had tumor testing ordered.

Conclusions

Pathway adherence exceeded the 80% benchmark. Race representation was diverse and reflective of the VA prostate cancer population. About 46% of VA oncology practices have used the PCMTP for ~11% of the estimated 15,000 veterans with metastatic prostate cancer in VHA. Increased use of this pathway is expected to improve outcomes for veterans with prostate cancer

Purpose

The PCMTP was developed to provide standardized decision support for molecular testing for veterans with prostate cancer.

Background

Prior to the precision medicine era, molecular tumor testing in prostate cancer was not standard of care. Field practitioners were unfamiliar with the role of molecular testing in clinical care. The PCMTP provides direction for germline and tumor testing in appropriate patients with prostate cancer. The expectation is that at least 80% of veterans will be pathway adherent. The PCMTP is an Oncology Clinical Pathway (OCP) that supports evidence-based practice providing highquality, safe, and cost-effective care for veterans reducing variability of care in the VHA.

Methods

The National Oncology Program Office assembled a Prostate Cancer Team (PCT) to develop OCPs. The pathways were incorporated into note templates that record clinical decisions using text and metadata (Health Factors [HF]), and record pathway adherence for the 4 key nodes of the PCMTP. The templates were pilot-tested and improved using an iterative process over a 3-month period. Further evaluation was conducted by the Office of Human Factors Engineering and the National Clinical Template Workgroup, utilizing a heuristic evaluation to ensure standardization, interoperability, and reduce duplication. HF data were retrieved from the Corporate Data Warehouse using a custom-built dashboard. Descriptive statistics of PCMTP use are presented.

Results

Between 4/1/2021 and 6/22/2022, 6276 health factors were generated from 1707 unique veterans in whom this clinical pathway was accessed. 328 distinct providers participated at 61 sites. Average veteran age was 73 years. (range 45-100) including 42% Black and 56% White. Of 1243 veterans considered for germline testing, 96.6% had germline testing ordered and for 1102 veterans considered for tumor testing, 93.3% had tumor testing ordered.

Conclusions

Pathway adherence exceeded the 80% benchmark. Race representation was diverse and reflective of the VA prostate cancer population. About 46% of VA oncology practices have used the PCMTP for ~11% of the estimated 15,000 veterans with metastatic prostate cancer in VHA. Increased use of this pathway is expected to improve outcomes for veterans with prostate cancer

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New Delivery Models Improve Access to Germline Testing for Patients With Advanced Prostate Cancer

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Objectives

The VA Oncology Clinical Pathway for Prostate Cancer is the first to include both tumor and germline testing to inform treatment and clinical trial eligibility for advanced disease. Anticipating increased germline testing demand, new germline testing delivery models were created to augment the existing traditional model of referring patients to genetics providers (VA or non-VA) for germline testing. The new models include: a non-traditional model where oncology clinicians perform all pre- and post-test activities and consult genetics when needed, and a hybrid model where oncology clinicians obtain informed consent and place e-consults for germline test ordering, results disclosure, and genetics follow-up, as needed. We sought to assess germline testing by delivery model.

Methods

Data sources included the National Precision Oncology Program (NPOP) dashboard and NPOP-contracted germline testing laboratories. Patient inclusion criteria: living as of 5/2/2021 with VA oncology or urology visits after 5/2/2021. We used multivariate regression to assess associations between patient characteristics and germline testing between 5/3/2021 (pathway launch) and 5/2/2022, accounting for clustering of patients within ordering clinicians.

Results

We identified 16,041 patients from 129 VA facilities with average age 75 years (SD, 8.2; range, 36- 102), 28.7% Black and 60.0% White. Only 5.6% had germline testing ordered by 60 clinicians at 67 facilities with 52.2% of orders by the hybrid model, 32.1% the non-traditional model, and 15.4% the traditional model. Patient characteristics positively associated with germline testing included care at hybrid model (OR, 6.03; 95% CI, 4.62-7.88) or non-traditional model facilities (OR, 5.66; 95% CI, 4.24-7.56) compared to the traditional model, completing tumor molecular testing (OR, 5.80; 95%CI, 4.98-6.75), and Black compared with White race (OR, 1.24; 95%CI, 1.06-1.45). Compared to patients aged < 66 years, patients aged 66-75 years and 76-85 years were less likely to have germline testing (OR, 0.74; 95%CI, 0.60-0.90; and OR, 0.67; 95%CI, 0.53-0.84, respectively).

Conclusions/Implications

Though only a small percentage of patients with advanced prostate cancer had NPOP-supported germline testing since the pathway launch, the new delivery models were instrumental to improving access to germline testing. Ongoing evaluation will help to understand observed demographic differences in germline testing. Implementation and evaluation of strategies that promote adoption of the new germline testing delivery models is needed. 0922FED AVAHO_Abstracts.indd 15 8

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Objectives

The VA Oncology Clinical Pathway for Prostate Cancer is the first to include both tumor and germline testing to inform treatment and clinical trial eligibility for advanced disease. Anticipating increased germline testing demand, new germline testing delivery models were created to augment the existing traditional model of referring patients to genetics providers (VA or non-VA) for germline testing. The new models include: a non-traditional model where oncology clinicians perform all pre- and post-test activities and consult genetics when needed, and a hybrid model where oncology clinicians obtain informed consent and place e-consults for germline test ordering, results disclosure, and genetics follow-up, as needed. We sought to assess germline testing by delivery model.

Methods

Data sources included the National Precision Oncology Program (NPOP) dashboard and NPOP-contracted germline testing laboratories. Patient inclusion criteria: living as of 5/2/2021 with VA oncology or urology visits after 5/2/2021. We used multivariate regression to assess associations between patient characteristics and germline testing between 5/3/2021 (pathway launch) and 5/2/2022, accounting for clustering of patients within ordering clinicians.

Results

We identified 16,041 patients from 129 VA facilities with average age 75 years (SD, 8.2; range, 36- 102), 28.7% Black and 60.0% White. Only 5.6% had germline testing ordered by 60 clinicians at 67 facilities with 52.2% of orders by the hybrid model, 32.1% the non-traditional model, and 15.4% the traditional model. Patient characteristics positively associated with germline testing included care at hybrid model (OR, 6.03; 95% CI, 4.62-7.88) or non-traditional model facilities (OR, 5.66; 95% CI, 4.24-7.56) compared to the traditional model, completing tumor molecular testing (OR, 5.80; 95%CI, 4.98-6.75), and Black compared with White race (OR, 1.24; 95%CI, 1.06-1.45). Compared to patients aged < 66 years, patients aged 66-75 years and 76-85 years were less likely to have germline testing (OR, 0.74; 95%CI, 0.60-0.90; and OR, 0.67; 95%CI, 0.53-0.84, respectively).

Conclusions/Implications

Though only a small percentage of patients with advanced prostate cancer had NPOP-supported germline testing since the pathway launch, the new delivery models were instrumental to improving access to germline testing. Ongoing evaluation will help to understand observed demographic differences in germline testing. Implementation and evaluation of strategies that promote adoption of the new germline testing delivery models is needed. 0922FED AVAHO_Abstracts.indd 15 8

Objectives

The VA Oncology Clinical Pathway for Prostate Cancer is the first to include both tumor and germline testing to inform treatment and clinical trial eligibility for advanced disease. Anticipating increased germline testing demand, new germline testing delivery models were created to augment the existing traditional model of referring patients to genetics providers (VA or non-VA) for germline testing. The new models include: a non-traditional model where oncology clinicians perform all pre- and post-test activities and consult genetics when needed, and a hybrid model where oncology clinicians obtain informed consent and place e-consults for germline test ordering, results disclosure, and genetics follow-up, as needed. We sought to assess germline testing by delivery model.

Methods

Data sources included the National Precision Oncology Program (NPOP) dashboard and NPOP-contracted germline testing laboratories. Patient inclusion criteria: living as of 5/2/2021 with VA oncology or urology visits after 5/2/2021. We used multivariate regression to assess associations between patient characteristics and germline testing between 5/3/2021 (pathway launch) and 5/2/2022, accounting for clustering of patients within ordering clinicians.

Results

We identified 16,041 patients from 129 VA facilities with average age 75 years (SD, 8.2; range, 36- 102), 28.7% Black and 60.0% White. Only 5.6% had germline testing ordered by 60 clinicians at 67 facilities with 52.2% of orders by the hybrid model, 32.1% the non-traditional model, and 15.4% the traditional model. Patient characteristics positively associated with germline testing included care at hybrid model (OR, 6.03; 95% CI, 4.62-7.88) or non-traditional model facilities (OR, 5.66; 95% CI, 4.24-7.56) compared to the traditional model, completing tumor molecular testing (OR, 5.80; 95%CI, 4.98-6.75), and Black compared with White race (OR, 1.24; 95%CI, 1.06-1.45). Compared to patients aged < 66 years, patients aged 66-75 years and 76-85 years were less likely to have germline testing (OR, 0.74; 95%CI, 0.60-0.90; and OR, 0.67; 95%CI, 0.53-0.84, respectively).

Conclusions/Implications

Though only a small percentage of patients with advanced prostate cancer had NPOP-supported germline testing since the pathway launch, the new delivery models were instrumental to improving access to germline testing. Ongoing evaluation will help to understand observed demographic differences in germline testing. Implementation and evaluation of strategies that promote adoption of the new germline testing delivery models is needed. 0922FED AVAHO_Abstracts.indd 15 8

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Molecular Profiling of Lung Malignancies in Veterans: What We Have Learned About the Impact of Agent Orange Exposure

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Background

There are no studies in oncologic literature that report biomarker alterations in Vietnam War veterans with lung cancers. Our study elucidates genetic mutations in veterans with lung cancer exposed to Agent Orange (AO) and compares them to non-Agent Orange exposed (NAO) veterans.

Methods

We collected data of veterans with lung cancers from VA Central California Health Care System who had NGS testing via Foundation One CDx from January 2007 to January 2022. We collected data of AO versus NAO veterans including age, race, gender, smoking and exposure history, histologic subtypes, treatment modalities, PDL-1, and molecular mutations. Median PFS and OS were calculated between AO and NAO in all veterans and adenocarcinoma group after first-line therapy in months by Kaplan-Meier R log-rank test.

Results

There were total of 58 lung cancer veterans, 27 AO and 31 NAO. 33 (56.9%) veterans had adenocarcinoma (20 AO vs 13 NAO). Veterans were White (81%), male (93%) and all had tobacco exposure. The median age at diagnosis was 72 years in both groups. 65.5% had stage III-IV disease. Veterans with AO adenocarcinoma had more early stage I-II disease (50%) as compared to NAO (16%). The AO group had more PDL1 expression (TPS > 1%). 15/31 (48.4%) NAO received immunotherapy vs 7/27 (25.9%) AO. 104 molecular mutations were identified. Veterans with AO had more ROS1, MET, and NRAS while NAO had more EGFR, KRAS, and NF1 mutations. In adenocarcinoma group, AO had more MET and less KRAS while NAO has more KRAS, TP53, and EGFR. The median PFS and OS for all veterans with AO vs NAO were 8 mo vs 6 mo and 12 mo vs 10 mo, respectively (non-significant [NS]). In adenocarcinoma group the median PFS and OS for AO vs NAO veterans were 8 mo vs 4 mo and 11.75 mo vs 6 mo, respectively (NS).

Conclusions

Our study is the first to report molecular biomarkers in AO and NAO veterans with lung cancers. We found different markers between the groups. The median PFS and OS of AO and adenocarcinoma AO veterans were longer due to early stage diagnoses while NAO vetera

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Background

There are no studies in oncologic literature that report biomarker alterations in Vietnam War veterans with lung cancers. Our study elucidates genetic mutations in veterans with lung cancer exposed to Agent Orange (AO) and compares them to non-Agent Orange exposed (NAO) veterans.

Methods

We collected data of veterans with lung cancers from VA Central California Health Care System who had NGS testing via Foundation One CDx from January 2007 to January 2022. We collected data of AO versus NAO veterans including age, race, gender, smoking and exposure history, histologic subtypes, treatment modalities, PDL-1, and molecular mutations. Median PFS and OS were calculated between AO and NAO in all veterans and adenocarcinoma group after first-line therapy in months by Kaplan-Meier R log-rank test.

Results

There were total of 58 lung cancer veterans, 27 AO and 31 NAO. 33 (56.9%) veterans had adenocarcinoma (20 AO vs 13 NAO). Veterans were White (81%), male (93%) and all had tobacco exposure. The median age at diagnosis was 72 years in both groups. 65.5% had stage III-IV disease. Veterans with AO adenocarcinoma had more early stage I-II disease (50%) as compared to NAO (16%). The AO group had more PDL1 expression (TPS > 1%). 15/31 (48.4%) NAO received immunotherapy vs 7/27 (25.9%) AO. 104 molecular mutations were identified. Veterans with AO had more ROS1, MET, and NRAS while NAO had more EGFR, KRAS, and NF1 mutations. In adenocarcinoma group, AO had more MET and less KRAS while NAO has more KRAS, TP53, and EGFR. The median PFS and OS for all veterans with AO vs NAO were 8 mo vs 6 mo and 12 mo vs 10 mo, respectively (non-significant [NS]). In adenocarcinoma group the median PFS and OS for AO vs NAO veterans were 8 mo vs 4 mo and 11.75 mo vs 6 mo, respectively (NS).

Conclusions

Our study is the first to report molecular biomarkers in AO and NAO veterans with lung cancers. We found different markers between the groups. The median PFS and OS of AO and adenocarcinoma AO veterans were longer due to early stage diagnoses while NAO vetera

Background

There are no studies in oncologic literature that report biomarker alterations in Vietnam War veterans with lung cancers. Our study elucidates genetic mutations in veterans with lung cancer exposed to Agent Orange (AO) and compares them to non-Agent Orange exposed (NAO) veterans.

Methods

We collected data of veterans with lung cancers from VA Central California Health Care System who had NGS testing via Foundation One CDx from January 2007 to January 2022. We collected data of AO versus NAO veterans including age, race, gender, smoking and exposure history, histologic subtypes, treatment modalities, PDL-1, and molecular mutations. Median PFS and OS were calculated between AO and NAO in all veterans and adenocarcinoma group after first-line therapy in months by Kaplan-Meier R log-rank test.

Results

There were total of 58 lung cancer veterans, 27 AO and 31 NAO. 33 (56.9%) veterans had adenocarcinoma (20 AO vs 13 NAO). Veterans were White (81%), male (93%) and all had tobacco exposure. The median age at diagnosis was 72 years in both groups. 65.5% had stage III-IV disease. Veterans with AO adenocarcinoma had more early stage I-II disease (50%) as compared to NAO (16%). The AO group had more PDL1 expression (TPS > 1%). 15/31 (48.4%) NAO received immunotherapy vs 7/27 (25.9%) AO. 104 molecular mutations were identified. Veterans with AO had more ROS1, MET, and NRAS while NAO had more EGFR, KRAS, and NF1 mutations. In adenocarcinoma group, AO had more MET and less KRAS while NAO has more KRAS, TP53, and EGFR. The median PFS and OS for all veterans with AO vs NAO were 8 mo vs 6 mo and 12 mo vs 10 mo, respectively (non-significant [NS]). In adenocarcinoma group the median PFS and OS for AO vs NAO veterans were 8 mo vs 4 mo and 11.75 mo vs 6 mo, respectively (NS).

Conclusions

Our study is the first to report molecular biomarkers in AO and NAO veterans with lung cancers. We found different markers between the groups. The median PFS and OS of AO and adenocarcinoma AO veterans were longer due to early stage diagnoses while NAO vetera

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Utilization of Next Generation Sequencing in Metastatic Colorectal Cancer

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Introduction

Metastatic colorectal cancer (mCRC) is one of the most common and lethal cancers. Nextgeneration sequencing (NGS) has been recommended as a tool to help guide treatment by identifying actionable genetic mutations. However, data regarding realworld usage of NGS in a Veterans Affairs (VA) health care system is lacking. We conducted a retrospective observational study of the patterns of NGS usage in patients with mCRC at the South Texas Veterans Affairs Healthcare System (STVAHCS).

Methods

We identified patients with a diagnosis of mCRC evaluated and treated at STVAHCS between January 1, 2018 and June 1, 2022. We assessed the prevalence of utilizing NGS on solid tumor samples performed by Foundation One and identified the presence of different molecular aberrations detected by NGS.

Results

65 patients were identified. Median age was 68 years. 63 (96.9%) were males and 2 (3.1%) were females. 29 (44.6%) were Hispanic, 25 (38.5%) were White, 10 (15.4%) were African American and 1 (1.5%) was Pacific Islander. NGS was performed in 34 (52.3%) patients. The most common reasons for not performing NGS were unknown/not documented (54.8%), early mortality (29%), lack of adequate tissue (12.9%) and patient refusal of treatment (3.2%). The most common molecular aberrations identified in patients who had NGS were TP53 (73.5%), APC (64.7%), KRAS (47.1%), ATM (20.6%), SMAD4 (14.7%) and BRAF (14.7%). All patients who had NGS were found to have at least one identifiable mutation.

Conclusions

 Approximately 50% of patients with mCRC did not have NGS performed on their tissue sample. This rate is similar to other real-world studies in non-VA settings. Documented reasons for lack of NGS testing included inadequate tissue and early patient mortality. Other potential reasons could be lack of efficient VA clinical testing protocols, use of simple molecular testing rather than comprehensive NGS testing and limited knowledge of availability of NGS among providers. Measures that can be taken to increase utilization of NGS include incorporating NGS testing early in the disease course, incorporating testing into VA clinical pathways, improving physician education, increasing the size of solid tissue samples and ordering liquid biopsies where solid tissue is deficient.

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Introduction

Metastatic colorectal cancer (mCRC) is one of the most common and lethal cancers. Nextgeneration sequencing (NGS) has been recommended as a tool to help guide treatment by identifying actionable genetic mutations. However, data regarding realworld usage of NGS in a Veterans Affairs (VA) health care system is lacking. We conducted a retrospective observational study of the patterns of NGS usage in patients with mCRC at the South Texas Veterans Affairs Healthcare System (STVAHCS).

Methods

We identified patients with a diagnosis of mCRC evaluated and treated at STVAHCS between January 1, 2018 and June 1, 2022. We assessed the prevalence of utilizing NGS on solid tumor samples performed by Foundation One and identified the presence of different molecular aberrations detected by NGS.

Results

65 patients were identified. Median age was 68 years. 63 (96.9%) were males and 2 (3.1%) were females. 29 (44.6%) were Hispanic, 25 (38.5%) were White, 10 (15.4%) were African American and 1 (1.5%) was Pacific Islander. NGS was performed in 34 (52.3%) patients. The most common reasons for not performing NGS were unknown/not documented (54.8%), early mortality (29%), lack of adequate tissue (12.9%) and patient refusal of treatment (3.2%). The most common molecular aberrations identified in patients who had NGS were TP53 (73.5%), APC (64.7%), KRAS (47.1%), ATM (20.6%), SMAD4 (14.7%) and BRAF (14.7%). All patients who had NGS were found to have at least one identifiable mutation.

Conclusions

 Approximately 50% of patients with mCRC did not have NGS performed on their tissue sample. This rate is similar to other real-world studies in non-VA settings. Documented reasons for lack of NGS testing included inadequate tissue and early patient mortality. Other potential reasons could be lack of efficient VA clinical testing protocols, use of simple molecular testing rather than comprehensive NGS testing and limited knowledge of availability of NGS among providers. Measures that can be taken to increase utilization of NGS include incorporating NGS testing early in the disease course, incorporating testing into VA clinical pathways, improving physician education, increasing the size of solid tissue samples and ordering liquid biopsies where solid tissue is deficient.

Introduction

Metastatic colorectal cancer (mCRC) is one of the most common and lethal cancers. Nextgeneration sequencing (NGS) has been recommended as a tool to help guide treatment by identifying actionable genetic mutations. However, data regarding realworld usage of NGS in a Veterans Affairs (VA) health care system is lacking. We conducted a retrospective observational study of the patterns of NGS usage in patients with mCRC at the South Texas Veterans Affairs Healthcare System (STVAHCS).

Methods

We identified patients with a diagnosis of mCRC evaluated and treated at STVAHCS between January 1, 2018 and June 1, 2022. We assessed the prevalence of utilizing NGS on solid tumor samples performed by Foundation One and identified the presence of different molecular aberrations detected by NGS.

Results

65 patients were identified. Median age was 68 years. 63 (96.9%) were males and 2 (3.1%) were females. 29 (44.6%) were Hispanic, 25 (38.5%) were White, 10 (15.4%) were African American and 1 (1.5%) was Pacific Islander. NGS was performed in 34 (52.3%) patients. The most common reasons for not performing NGS were unknown/not documented (54.8%), early mortality (29%), lack of adequate tissue (12.9%) and patient refusal of treatment (3.2%). The most common molecular aberrations identified in patients who had NGS were TP53 (73.5%), APC (64.7%), KRAS (47.1%), ATM (20.6%), SMAD4 (14.7%) and BRAF (14.7%). All patients who had NGS were found to have at least one identifiable mutation.

Conclusions

 Approximately 50% of patients with mCRC did not have NGS performed on their tissue sample. This rate is similar to other real-world studies in non-VA settings. Documented reasons for lack of NGS testing included inadequate tissue and early patient mortality. Other potential reasons could be lack of efficient VA clinical testing protocols, use of simple molecular testing rather than comprehensive NGS testing and limited knowledge of availability of NGS among providers. Measures that can be taken to increase utilization of NGS include incorporating NGS testing early in the disease course, incorporating testing into VA clinical pathways, improving physician education, increasing the size of solid tissue samples and ordering liquid biopsies where solid tissue is deficient.

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Nearly 30% of U.S. cancer deaths linked to smoking

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Nearly 123,000 cancer deaths – or almost 30% of all cancer deaths – in the United States in 2019 were linked to cigarette smoking, a new analysis suggests.

That corresponds to more than 2 million person-years of lost life and nearly $21 billion in annual lost earnings.

“During the past few decades, smoking has substantially declined in the U.S., followed by great declines in mortality from lung cancer and some other smoking-related cancers,” said lead author Farhad Islami, MD, senior scientific director of cancer disparity research at the American Cancer Society.

AtnoYdur/Thinkstock

Despite this “remarkable progress, our results indicate that smoking is still associated with about 30% of all cancer deaths and substantial lost earnings in the U.S., and that more work should be done to further reduce smoking in the country,” he said.

The study was published online in the International Journal of Cancer.

Dr. Islami and colleagues had found that lost earnings from cancer deaths in 2015 came to nearly $95 billion. Other research showed that a substantial portion of lost earnings from cancer deaths could be traced to cigarette smoking, but estimates were more than a decade old.

To provide more recent estimates and help guide tobacco control policies, Dr. Islami and colleagues estimated person-years of life lost (PYLL) and lost earnings from cigarette smoking-related cancer deaths in 2019.

Of the 418,563 cancer deaths in adults ages 25-79 years, an estimated 122,951 could be linked to cigarette smoking. That corresponds to 29.4% of all cancer deaths and roughly 2.2 million PYLL. Translated to lost earnings, the authors estimated $20.9 billion total, with average lost earnings of $170,000 per cancer death linked to smoking.

By cancer type, lung cancer accounted for about 62%, or $12.9 billion, of the total lost earnings linked to smoking, followed by esophageal cancer (7%, or $1.5 billion), colorectal cancer (6%, or $1.2 billion), and liver cancer (5%, or $1.1 billion).

Smoking-related death rates were highest in the 13 “tobacco nation” states with weaker tobacco control policies and a higher rate of cigarette smoking. These states are Alabama, Arkansas, Indiana, Kentucky, Louisiana, Michigan, Mississippi, Missouri, Ohio, Oklahoma, South Carolina, Tennessee, and West Virginia.

The lost earnings rate in all 13 tobacco nation states combined was about 44% higher, compared with other states and the District of Columbia combined, and the annual PYLL rate was 47% higher in tobacco nation states.

The researchers estimated that if PYLL and lost earnings rates in all states matched those in Utah, which has the lowest rates, more than half of the total PYLL and lost earnings nationally would have been avoided. In other words, that would mean 1.27 million PYLL and $10.5 billion saved in 2019.

Ending the ‘scourge of tobacco’

To kick the smoking habit, health providers should “screen patients for tobacco use, document tobacco use status, advise people who smoke to quit, and assist in attempts to quit,” Dr. Islami said.

Getting more people to screen for lung cancer in the United States is also important, given that only 6.6% of eligible people in 2019 received screening.

In a statement, Lisa Lacasse, president of the American Cancer Society Cancer Action Network, said this report “further demonstrates just how critical reducing tobacco use is to ending suffering and death from cancer.”

To end the “scourge of tobacco,” local, state, and federal lawmakers need to pass proven tobacco control policies, she said.

These include regular and significant tobacco tax increases, thorough statewide smoke-free laws, and enough funding for state programs to prevent and stop smoking. It also means ensuring all Medicaid enrollees have access to all services that can help smokers quit as well as access to all FDA-approved medications that help users stop smoking.

“We have the tools to get this done, we just need lawmakers to act,” Ms. Lacasse said.

A version of this article first appeared on WebMD.com.

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Nearly 123,000 cancer deaths – or almost 30% of all cancer deaths – in the United States in 2019 were linked to cigarette smoking, a new analysis suggests.

That corresponds to more than 2 million person-years of lost life and nearly $21 billion in annual lost earnings.

“During the past few decades, smoking has substantially declined in the U.S., followed by great declines in mortality from lung cancer and some other smoking-related cancers,” said lead author Farhad Islami, MD, senior scientific director of cancer disparity research at the American Cancer Society.

AtnoYdur/Thinkstock

Despite this “remarkable progress, our results indicate that smoking is still associated with about 30% of all cancer deaths and substantial lost earnings in the U.S., and that more work should be done to further reduce smoking in the country,” he said.

The study was published online in the International Journal of Cancer.

Dr. Islami and colleagues had found that lost earnings from cancer deaths in 2015 came to nearly $95 billion. Other research showed that a substantial portion of lost earnings from cancer deaths could be traced to cigarette smoking, but estimates were more than a decade old.

To provide more recent estimates and help guide tobacco control policies, Dr. Islami and colleagues estimated person-years of life lost (PYLL) and lost earnings from cigarette smoking-related cancer deaths in 2019.

Of the 418,563 cancer deaths in adults ages 25-79 years, an estimated 122,951 could be linked to cigarette smoking. That corresponds to 29.4% of all cancer deaths and roughly 2.2 million PYLL. Translated to lost earnings, the authors estimated $20.9 billion total, with average lost earnings of $170,000 per cancer death linked to smoking.

By cancer type, lung cancer accounted for about 62%, or $12.9 billion, of the total lost earnings linked to smoking, followed by esophageal cancer (7%, or $1.5 billion), colorectal cancer (6%, or $1.2 billion), and liver cancer (5%, or $1.1 billion).

Smoking-related death rates were highest in the 13 “tobacco nation” states with weaker tobacco control policies and a higher rate of cigarette smoking. These states are Alabama, Arkansas, Indiana, Kentucky, Louisiana, Michigan, Mississippi, Missouri, Ohio, Oklahoma, South Carolina, Tennessee, and West Virginia.

The lost earnings rate in all 13 tobacco nation states combined was about 44% higher, compared with other states and the District of Columbia combined, and the annual PYLL rate was 47% higher in tobacco nation states.

The researchers estimated that if PYLL and lost earnings rates in all states matched those in Utah, which has the lowest rates, more than half of the total PYLL and lost earnings nationally would have been avoided. In other words, that would mean 1.27 million PYLL and $10.5 billion saved in 2019.

Ending the ‘scourge of tobacco’

To kick the smoking habit, health providers should “screen patients for tobacco use, document tobacco use status, advise people who smoke to quit, and assist in attempts to quit,” Dr. Islami said.

Getting more people to screen for lung cancer in the United States is also important, given that only 6.6% of eligible people in 2019 received screening.

In a statement, Lisa Lacasse, president of the American Cancer Society Cancer Action Network, said this report “further demonstrates just how critical reducing tobacco use is to ending suffering and death from cancer.”

To end the “scourge of tobacco,” local, state, and federal lawmakers need to pass proven tobacco control policies, she said.

These include regular and significant tobacco tax increases, thorough statewide smoke-free laws, and enough funding for state programs to prevent and stop smoking. It also means ensuring all Medicaid enrollees have access to all services that can help smokers quit as well as access to all FDA-approved medications that help users stop smoking.

“We have the tools to get this done, we just need lawmakers to act,” Ms. Lacasse said.

A version of this article first appeared on WebMD.com.

 

Nearly 123,000 cancer deaths – or almost 30% of all cancer deaths – in the United States in 2019 were linked to cigarette smoking, a new analysis suggests.

That corresponds to more than 2 million person-years of lost life and nearly $21 billion in annual lost earnings.

“During the past few decades, smoking has substantially declined in the U.S., followed by great declines in mortality from lung cancer and some other smoking-related cancers,” said lead author Farhad Islami, MD, senior scientific director of cancer disparity research at the American Cancer Society.

AtnoYdur/Thinkstock

Despite this “remarkable progress, our results indicate that smoking is still associated with about 30% of all cancer deaths and substantial lost earnings in the U.S., and that more work should be done to further reduce smoking in the country,” he said.

The study was published online in the International Journal of Cancer.

Dr. Islami and colleagues had found that lost earnings from cancer deaths in 2015 came to nearly $95 billion. Other research showed that a substantial portion of lost earnings from cancer deaths could be traced to cigarette smoking, but estimates were more than a decade old.

To provide more recent estimates and help guide tobacco control policies, Dr. Islami and colleagues estimated person-years of life lost (PYLL) and lost earnings from cigarette smoking-related cancer deaths in 2019.

Of the 418,563 cancer deaths in adults ages 25-79 years, an estimated 122,951 could be linked to cigarette smoking. That corresponds to 29.4% of all cancer deaths and roughly 2.2 million PYLL. Translated to lost earnings, the authors estimated $20.9 billion total, with average lost earnings of $170,000 per cancer death linked to smoking.

By cancer type, lung cancer accounted for about 62%, or $12.9 billion, of the total lost earnings linked to smoking, followed by esophageal cancer (7%, or $1.5 billion), colorectal cancer (6%, or $1.2 billion), and liver cancer (5%, or $1.1 billion).

Smoking-related death rates were highest in the 13 “tobacco nation” states with weaker tobacco control policies and a higher rate of cigarette smoking. These states are Alabama, Arkansas, Indiana, Kentucky, Louisiana, Michigan, Mississippi, Missouri, Ohio, Oklahoma, South Carolina, Tennessee, and West Virginia.

The lost earnings rate in all 13 tobacco nation states combined was about 44% higher, compared with other states and the District of Columbia combined, and the annual PYLL rate was 47% higher in tobacco nation states.

The researchers estimated that if PYLL and lost earnings rates in all states matched those in Utah, which has the lowest rates, more than half of the total PYLL and lost earnings nationally would have been avoided. In other words, that would mean 1.27 million PYLL and $10.5 billion saved in 2019.

Ending the ‘scourge of tobacco’

To kick the smoking habit, health providers should “screen patients for tobacco use, document tobacco use status, advise people who smoke to quit, and assist in attempts to quit,” Dr. Islami said.

Getting more people to screen for lung cancer in the United States is also important, given that only 6.6% of eligible people in 2019 received screening.

In a statement, Lisa Lacasse, president of the American Cancer Society Cancer Action Network, said this report “further demonstrates just how critical reducing tobacco use is to ending suffering and death from cancer.”

To end the “scourge of tobacco,” local, state, and federal lawmakers need to pass proven tobacco control policies, she said.

These include regular and significant tobacco tax increases, thorough statewide smoke-free laws, and enough funding for state programs to prevent and stop smoking. It also means ensuring all Medicaid enrollees have access to all services that can help smokers quit as well as access to all FDA-approved medications that help users stop smoking.

“We have the tools to get this done, we just need lawmakers to act,” Ms. Lacasse said.

A version of this article first appeared on WebMD.com.

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At-home test for oral/throat cancer launched in U.S.

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Recently, a home test for oral and throat cancer was launched in the United States, and it is being marketed directly to the general public, aimed at former or current tobacco users and anyone 50 years or older.

Individuals can order the test – CancerDetect Test for Oral & Throat Cancer – directly from its maker, Viome Life Sciences, for $399.

It is not covered by medical insurance, and is not approved by the Food and Drug Administration. The test is being marketed under the agency’s “laboratory developed test” rubric.

People who qualify and buy the test are mailed a saliva collection tube, which they fill and mail back. The company then analyzes the RNA for changes in human cells and the oropharyngeal microbiome that are associated with cancer. During a 15-minute telemedicine conference – included in the $399 cost – those who test positive are told to follow up with a secondary care center for a definitive diagnosis.

For people who test positive but have no visible lesion to biopsy, doctors will likely opt for surveillance, computer scientist Guruduth Banavar, PhD, Viome’s chief technology officer, told this news organization.

Dr. Banavar said people have been buying the test every day since it was launched in early August, but he declined to give specific sales figures.

CancerDetect’s tagline is “test at home for peace of mind.” The test “brings unprecedented accuracy to early cancer detection and prevention,” the company said in a press release announcing the launch.

The test showed an overall specificity of 94% and sensitivity of 84.2%-90% for cancer in Viome’s  latest study, which is posted on medRxiv.org as a preprint. Banavar said it has been submitted to a top-tier medical journal.

Viome plans to market CancerDetect “in every possible way” to consumers, including social media, Dr. Banavar said. CancerDetect is not sold on Amazon at the moment, but the company sells another at-home test for gut microbiome plus cellular health on the website. 

As for outreach to the medical community, “we will start doing that with dentists first” and then eventually oncologists and other doctors, but “our primary target is to get out to the consumers themselves,” Dr. Banavar said.

Viome’s main goal is to help consumers be proactive regarding their health, he said.
 

An expert opinion

The marketing push means that sooner or later, oncologists will likely have to deal with a patient who tests positive on CancerDetect, so this news organization turned to numerous experts for their thoughts. None had heard about the test, but one responded with comments.

“I am happy to see industry working on strategies for the early detection of oral and throat cancers,” and CancerDetect has “potential,” said surgical oncologist Saral Mehra, MD, MBA, chief of head and neck surgery at Yale University, New Haven, Conn.

However, after reviewing the study posted on medRxiv, Dr. Mehra advised caution. He said he was concerned about false negative results leading to missed cancers and false positives leading to unnecessary anxiety and testing.

According to the medRxiv preprint, the test was developed and validated using saliva samples from 1,175 people 50 years or older as well as adults with a history of tobacco use. 

In the 230-sample validation cohort, CancerDetect correctly classified 18 out of 20 people with oral squamous cell carcinoma (OSCC) and 64/76 with oropharyngeal squamous cell carcinoma (OPSCC), yielding sensitivities of 90% and 84.2%, respectively. 

The test also correctly identified 126/134 people as cancer free, for a specificity of 94%.

Results were similar between early and late-stage disease, but mixed in subgroups. Among people younger than age 50, for instance, 4/4 (100%) with OSCC and 2/3 (66.7%) with OPSCC were correctly classified as positive. Among older people, 15/17 (88.2%) with OSCC and 62/73 (84.9%) with OPSCC were correctly classified

Commenting on the results, Dr. Mehra noted that “the power of the study, especially for subgroup analysis, was low,” and investigators “used both advanced-stage and early-stage cancer patients in the model, while the target population for this test is early stage. 

“The research needs to be tightened significantly on specific target populations, the models adjusted to really limit false negatives, and a plan [put in place] to act upon positive results,” he said.

Also, the ability of CancerDetect to pick up premalignant lesions – “the greatest value in a screening test” – is not clear, he added.

Viome’s Dr. Banavar said that CancerDetect is in its first iteration, and the test uses machine learning, so its diagnostic performance will improve with the ongoing addition of real-world data.

The company is organizing a pivotal trial to gain formal FDA approval, with results expected in a year and a half or so, he said.

Viome is pushing ahead with its RNA diagnosis technology for the entire range of alimentary canal cancers and disorders, including inflammatory bowel disease. The company has partnered with pharmaceutical companies, including GSK, for vaccines, Dr. Banavar said.  

Dr. Mehra reports no relevant financial relationships.

A version of this article first appeared on Medscape.com.

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Recently, a home test for oral and throat cancer was launched in the United States, and it is being marketed directly to the general public, aimed at former or current tobacco users and anyone 50 years or older.

Individuals can order the test – CancerDetect Test for Oral & Throat Cancer – directly from its maker, Viome Life Sciences, for $399.

It is not covered by medical insurance, and is not approved by the Food and Drug Administration. The test is being marketed under the agency’s “laboratory developed test” rubric.

People who qualify and buy the test are mailed a saliva collection tube, which they fill and mail back. The company then analyzes the RNA for changes in human cells and the oropharyngeal microbiome that are associated with cancer. During a 15-minute telemedicine conference – included in the $399 cost – those who test positive are told to follow up with a secondary care center for a definitive diagnosis.

For people who test positive but have no visible lesion to biopsy, doctors will likely opt for surveillance, computer scientist Guruduth Banavar, PhD, Viome’s chief technology officer, told this news organization.

Dr. Banavar said people have been buying the test every day since it was launched in early August, but he declined to give specific sales figures.

CancerDetect’s tagline is “test at home for peace of mind.” The test “brings unprecedented accuracy to early cancer detection and prevention,” the company said in a press release announcing the launch.

The test showed an overall specificity of 94% and sensitivity of 84.2%-90% for cancer in Viome’s  latest study, which is posted on medRxiv.org as a preprint. Banavar said it has been submitted to a top-tier medical journal.

Viome plans to market CancerDetect “in every possible way” to consumers, including social media, Dr. Banavar said. CancerDetect is not sold on Amazon at the moment, but the company sells another at-home test for gut microbiome plus cellular health on the website. 

As for outreach to the medical community, “we will start doing that with dentists first” and then eventually oncologists and other doctors, but “our primary target is to get out to the consumers themselves,” Dr. Banavar said.

Viome’s main goal is to help consumers be proactive regarding their health, he said.
 

An expert opinion

The marketing push means that sooner or later, oncologists will likely have to deal with a patient who tests positive on CancerDetect, so this news organization turned to numerous experts for their thoughts. None had heard about the test, but one responded with comments.

“I am happy to see industry working on strategies for the early detection of oral and throat cancers,” and CancerDetect has “potential,” said surgical oncologist Saral Mehra, MD, MBA, chief of head and neck surgery at Yale University, New Haven, Conn.

However, after reviewing the study posted on medRxiv, Dr. Mehra advised caution. He said he was concerned about false negative results leading to missed cancers and false positives leading to unnecessary anxiety and testing.

According to the medRxiv preprint, the test was developed and validated using saliva samples from 1,175 people 50 years or older as well as adults with a history of tobacco use. 

In the 230-sample validation cohort, CancerDetect correctly classified 18 out of 20 people with oral squamous cell carcinoma (OSCC) and 64/76 with oropharyngeal squamous cell carcinoma (OPSCC), yielding sensitivities of 90% and 84.2%, respectively. 

The test also correctly identified 126/134 people as cancer free, for a specificity of 94%.

Results were similar between early and late-stage disease, but mixed in subgroups. Among people younger than age 50, for instance, 4/4 (100%) with OSCC and 2/3 (66.7%) with OPSCC were correctly classified as positive. Among older people, 15/17 (88.2%) with OSCC and 62/73 (84.9%) with OPSCC were correctly classified

Commenting on the results, Dr. Mehra noted that “the power of the study, especially for subgroup analysis, was low,” and investigators “used both advanced-stage and early-stage cancer patients in the model, while the target population for this test is early stage. 

“The research needs to be tightened significantly on specific target populations, the models adjusted to really limit false negatives, and a plan [put in place] to act upon positive results,” he said.

Also, the ability of CancerDetect to pick up premalignant lesions – “the greatest value in a screening test” – is not clear, he added.

Viome’s Dr. Banavar said that CancerDetect is in its first iteration, and the test uses machine learning, so its diagnostic performance will improve with the ongoing addition of real-world data.

The company is organizing a pivotal trial to gain formal FDA approval, with results expected in a year and a half or so, he said.

Viome is pushing ahead with its RNA diagnosis technology for the entire range of alimentary canal cancers and disorders, including inflammatory bowel disease. The company has partnered with pharmaceutical companies, including GSK, for vaccines, Dr. Banavar said.  

Dr. Mehra reports no relevant financial relationships.

A version of this article first appeared on Medscape.com.

Recently, a home test for oral and throat cancer was launched in the United States, and it is being marketed directly to the general public, aimed at former or current tobacco users and anyone 50 years or older.

Individuals can order the test – CancerDetect Test for Oral & Throat Cancer – directly from its maker, Viome Life Sciences, for $399.

It is not covered by medical insurance, and is not approved by the Food and Drug Administration. The test is being marketed under the agency’s “laboratory developed test” rubric.

People who qualify and buy the test are mailed a saliva collection tube, which they fill and mail back. The company then analyzes the RNA for changes in human cells and the oropharyngeal microbiome that are associated with cancer. During a 15-minute telemedicine conference – included in the $399 cost – those who test positive are told to follow up with a secondary care center for a definitive diagnosis.

For people who test positive but have no visible lesion to biopsy, doctors will likely opt for surveillance, computer scientist Guruduth Banavar, PhD, Viome’s chief technology officer, told this news organization.

Dr. Banavar said people have been buying the test every day since it was launched in early August, but he declined to give specific sales figures.

CancerDetect’s tagline is “test at home for peace of mind.” The test “brings unprecedented accuracy to early cancer detection and prevention,” the company said in a press release announcing the launch.

The test showed an overall specificity of 94% and sensitivity of 84.2%-90% for cancer in Viome’s  latest study, which is posted on medRxiv.org as a preprint. Banavar said it has been submitted to a top-tier medical journal.

Viome plans to market CancerDetect “in every possible way” to consumers, including social media, Dr. Banavar said. CancerDetect is not sold on Amazon at the moment, but the company sells another at-home test for gut microbiome plus cellular health on the website. 

As for outreach to the medical community, “we will start doing that with dentists first” and then eventually oncologists and other doctors, but “our primary target is to get out to the consumers themselves,” Dr. Banavar said.

Viome’s main goal is to help consumers be proactive regarding their health, he said.
 

An expert opinion

The marketing push means that sooner or later, oncologists will likely have to deal with a patient who tests positive on CancerDetect, so this news organization turned to numerous experts for their thoughts. None had heard about the test, but one responded with comments.

“I am happy to see industry working on strategies for the early detection of oral and throat cancers,” and CancerDetect has “potential,” said surgical oncologist Saral Mehra, MD, MBA, chief of head and neck surgery at Yale University, New Haven, Conn.

However, after reviewing the study posted on medRxiv, Dr. Mehra advised caution. He said he was concerned about false negative results leading to missed cancers and false positives leading to unnecessary anxiety and testing.

According to the medRxiv preprint, the test was developed and validated using saliva samples from 1,175 people 50 years or older as well as adults with a history of tobacco use. 

In the 230-sample validation cohort, CancerDetect correctly classified 18 out of 20 people with oral squamous cell carcinoma (OSCC) and 64/76 with oropharyngeal squamous cell carcinoma (OPSCC), yielding sensitivities of 90% and 84.2%, respectively. 

The test also correctly identified 126/134 people as cancer free, for a specificity of 94%.

Results were similar between early and late-stage disease, but mixed in subgroups. Among people younger than age 50, for instance, 4/4 (100%) with OSCC and 2/3 (66.7%) with OPSCC were correctly classified as positive. Among older people, 15/17 (88.2%) with OSCC and 62/73 (84.9%) with OPSCC were correctly classified

Commenting on the results, Dr. Mehra noted that “the power of the study, especially for subgroup analysis, was low,” and investigators “used both advanced-stage and early-stage cancer patients in the model, while the target population for this test is early stage. 

“The research needs to be tightened significantly on specific target populations, the models adjusted to really limit false negatives, and a plan [put in place] to act upon positive results,” he said.

Also, the ability of CancerDetect to pick up premalignant lesions – “the greatest value in a screening test” – is not clear, he added.

Viome’s Dr. Banavar said that CancerDetect is in its first iteration, and the test uses machine learning, so its diagnostic performance will improve with the ongoing addition of real-world data.

The company is organizing a pivotal trial to gain formal FDA approval, with results expected in a year and a half or so, he said.

Viome is pushing ahead with its RNA diagnosis technology for the entire range of alimentary canal cancers and disorders, including inflammatory bowel disease. The company has partnered with pharmaceutical companies, including GSK, for vaccines, Dr. Banavar said.  

Dr. Mehra reports no relevant financial relationships.

A version of this article first appeared on Medscape.com.

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How do you live with COVID? One doctor’s personal experience

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Thu, 12/15/2022 - 14:27

Early in 2020, Anne Peters, MD, caught COVID-19. The author of Medscape’s “Peters on Diabetes” column was sick in March 2020 before state-mandated lockdowns, and well before there were any vaccines.

She remembers sitting in a small exam room with two patients who had flown to her Los Angeles office from New York. The elderly couple had hearing difficulties, so Dr. Peters sat close to them, putting on a continuous glucose monitor. “At that time, we didn’t think of COVID-19 as being in L.A.,” Dr. Peters recalled, “so I think we were not terribly consistent at mask-wearing due to the need to educate.”

Dr. Anne L. Peters

“Several days later, I got COVID, but I didn’t know I had COVID per se. I felt crappy, had a terrible sore throat, lost my sense of taste and smell [which was not yet described as a COVID symptom], was completely exhausted, but had no fever or cough, which were the only criteria for getting COVID tested at the time. I didn’t know I had been exposed until 2 weeks later, when the patient’s assistant returned the sensor warning us to ‘be careful’ with it because the patient and his wife were recovering from COVID.”

That early battle with COVID-19 was just the beginning of what would become a 2-year struggle, including familial loss amid her own health problems and concerns about the under-resourced patients she cares for. Here, she shares her journey through the pandemic with this news organization.
 

Question: Thanks for talking to us. Let’s discuss your journey over these past 2.5 years.

Answer:
Everybody has their own COVID story because we all went through this together. Some of us have worse COVID stories, and some of us have better ones, but all have been impacted.

I’m not a sick person. I’m a very healthy person but COVID made me so unwell for 2 years. The brain fog and fatigue were nothing compared to the autonomic neuropathy that affected my heart. It was really limiting for me. And I still don’t know the long-term implications, looking 20-30 years from now.
 

Q: When you initially had COVID, what were your symptoms? What was the impact?

A:
I had all the symptoms of COVID, except for a cough and fever. I lost my sense of taste and smell. I had a horrible headache, a sore throat, and I was exhausted. I couldn’t get tested because I didn’t have the right symptoms.

Despite being sick, I never stopped working but just switched to telemedicine. I also took my regular monthly trip to our cabin in Montana. I unknowingly flew on a plane with COVID. I wore a well-fitted N95 mask, so I don’t think I gave anybody COVID. I didn’t give COVID to my partner, Eric, which is hard to believe as – at 77 – he’s older than me. He has diabetes, heart disease, and every other high-risk characteristic. If he’d gotten COVID back then, it would have been terrible, as there were no treatments, but luckily he didn’t get it.
 

 

 

Q: When were you officially diagnosed?

A:
Two or 3 months after I thought I might have had COVID, I checked my antibodies, which tested strongly positive for a prior COVID infection. That was when I knew all the symptoms I’d had were due to the disease.

Q: Not only were you dealing with your own illness, but also that of those close to you. Can you talk about that?

A:
In April 2020, my mother who was in her 90s and otherwise healthy except for dementia, got COVID. She could have gotten it from me. I visited often but wore a mask. She had all the horrible pulmonary symptoms. In her advance directive, she didn’t want to be hospitalized so I kept her in her home. She died from COVID in her own bed. It was fairly brutal, but at least I kept her where she felt comforted.

My 91-year-old dad was living in a different residential facility. Throughout COVID he had become very depressed because his social patterns had changed. Prior to COVID, they all ate together, but during the pandemic they were unable to. He missed his social connections, disliked being isolated in his room, hated everyone in masks.

He was a bit demented, but not so much that he couldn’t communicate with me or remember where his grandson was going to law school. I wasn’t allowed inside the facility, which was hard on him. I hadn’t told him his wife died because the hospice social workers advised me that I shouldn’t give him news that he couldn’t process readily until I could spend time with him. Unfortunately, that time never came. In December 2020, he got COVID. One of the people in that facility had gone to the hospital, came back, and tested negative, but actually had COVID and gave it to my dad. The guy who gave it to my dad didn’t die but my dad was terribly ill. He died 2 weeks short of getting his vaccine. He was coherent enough to have a conversation. I asked him: ‘Do you want to go to the hospital?’ And he said: ‘No, because it would be too scary,’ since he couldn’t be with me. I put him on hospice and held his hand as he died from pulmonary COVID, which was awful. I couldn’t give him enough morphine or valium to ease his breathing. But his last words to me were “I love you,” and at the very end he seemed peaceful, which was a blessing.

I got an autopsy, because he wanted one. Nothing else was wrong with him other than COVID. It destroyed his lungs. The rest of him was fine – no heart disease, cancer, or anything else. He died of COVID-19, the same as my mother.

That same week, my aunt, my only surviving older relative, who was in Des Moines, Iowa, died of COVID-19. All three family members died before the vaccine came out.

It was hard to lose my parents. I’m the only surviving child because my sister died in her 20s. It’s not been an easy pandemic. But what pandemic is easy? I just happened to have lost more people than most. Ironically, my grandfather was one of the legionnaires at the Bellevue-Stratford Hotel in Philadelphia in 1976 and died of Legionnaire’s disease before we knew what was causing the outbreak.
 

 

 

Q: Were you still struggling with COVID?

A:
COVID impacted my whole body. I lost a lot of weight. I didn’t want to eat, and my gastrointestinal system was not happy. It took a while for my sense of taste and smell to come back. Nothing tasted good. I’m not a foodie; I don’t really care about food. We could get takeout or whatever, but none of it appealed to me. I’m not so sure it was a taste thing, I just didn’t feel like eating.

I didn’t realize I had “brain fog” per se, because I felt stressed and overwhelmed by the pandemic and my patients’ concerns. But one day, about 3 months after I had developed COVID, I woke up without the fog. Which made me aware that I hadn’t been feeling right up until that point.



The worst symptoms, however, were cardiac. I noticed also immediately that my heart rate went up very quickly with minimal exertion. My pulse has always been in the 55-60 bpm range, and suddenly just walking across a room made it go up to over 140 bpm. If I did any aerobic activity, it went up over 160 and would be associated with dyspnea and chest pain. I believed these were all post-COVID symptoms and felt validated when reports of others having similar issues were published in the literature.

Q: Did you continue seeing patients?

A:
Yes, of course. Patients never needed their doctors more. In East L.A., where patients don’t have easy access to telemedicine, I kept going into clinic throughout the pandemic. In the more affluent Westside of Los Angeles, we switched to telemedicine, which was quite effective for most. However, because diabetes was associated with an increased risk of hospitalization and death from COVID, my patients were understandably afraid. I’ve never been busier, but (like all health care providers), I became more of a COVID provider than a diabetologist.

Q: Do you feel your battle with COVID impacted your work?

A:
It didn’t affect me at work. If I was sitting still, I was fine. Sitting at home at a desk, I didn’t notice any symptoms. But as a habitual stair-user, I would be gasping for breath in the stairwell because I couldn’t go up the stairs to my office as I once could.

I think you empathize more with people who had COVID (when you’ve had it yourself). There was such a huge patient burden. And I think that’s been the thing that’s affected health care providers the most – no matter what specialty we’re in – that nobody has answers.
 

Q: What happened after you had your vaccine?

A:
The vaccine itself was fine. I didn’t have any reaction to the first two doses. But the first booster made my cardiac issues worse.

By this point, my cardiac problems stopped me from exercising. I even went to the ER with chest pain once because I was having palpitations and chest pressure caused by simply taking my morning shower. Fortunately, I wasn’t having an MI, but I certainly wasn’t “normal.”

My measure of my fitness is the cross-country skiing trail I use in Montana. I know exactly how far I can ski. Usually I can do the loop in 35 minutes. After COVID, I lasted 10 minutes. I would be tachycardic, short of breath with chest pain radiating down my left arm. I would rest and try to keep going. But with each rest period, I only got worse. I would be laying in the snow and strangers would ask if I needed help.
 

 

 

Q: What helped you?

A:
I’ve read a lot about long COVID and have tried to learn from the experts. Of course, I never went to a doctor directly, although I did ask colleagues for advice. What I learned was to never push myself. I forced myself to create an exercise schedule where I only exercised three times a week with rest days in between. When exercising, the second my heart rate went above 140 bpm, I stopped until I could get it back down. I would push against this new limit, even though my limit was low.

Additionally, I worked on my breathing patterns and did meditative breathing for 10 minutes twice daily using a commercially available app.

Although progress was slow, I did improve, and by June 2022, I seemed back to normal. I was not as fit as I was prior to COVID and needed to improve, but the tachycardic response to exercise and cardiac symptoms were gone. I felt like my normal self. Normal enough to go on a spot packing trip in the Sierras in August. (Horses carried us and a mule carried the gear over the 12,000-foot pass into the mountains, and then left my friend and me high in the Sierras for a week.) We were camped above 10,000 feet and every day hiked up to another high mountain lake where we fly-fished for trout that we ate for dinner. The hikes were a challenge, but not abnormally so. Not as they would have been while I had long COVID.
 

Q: What is the current atmosphere in your clinic?

A:
COVID is much milder now in my vaccinated patients, but I feel most health care providers are exhausted. Many of my staff left when COVID hit because they didn’t want to keep working. It made practicing medicine exhausting. There’s been a shortage of nurses, a shortage of everything. We’ve been required to do a whole lot more than we ever did before. It’s much harder to be a doctor. This pandemic is the first time I’ve ever thought of quitting. Granted, I lost my whole family, or at least the older generation, but it’s just been almost overwhelming.

On the plus side, almost every one of my patients has been vaccinated, because early on, people would ask: “Do you trust this vaccine?” I would reply: “I saw my parents die from COVID when they weren’t vaccinated, so you’re getting vaccinated. This is real and the vaccines help.” It made me very good at convincing people to get vaccines because I knew what it was like to see someone dying from COVID up close.
 

Q: What advice do you have for those struggling with the COVID pandemic?

A:
People need to decide what their own risk is for getting sick and how many times they want to get COVID. At this point, I want people to go out, but safely. In the beginning, when my patients said, “can I go visit my granddaughter?” I said, “no,” but that was before we had the vaccine. Now I feel it is safe to go out using common sense. I still have my patients wear masks on planes. I still have patients try to eat outside as much as possible. And I tell people to take the precautions that make sense, but I tell them to go out and do things because life is short.

I had a patient in his 70s who has many risk factors like heart disease and diabetes. His granddaughter’s Bat Mitzvah in Florida was coming up. He asked: “Can I go?” I told him “Yes,” but to be safe – to wear an N95 mask on the plane and at the event, and stay in his own hotel room, rather than with the whole family. I said, “You need to do this.” Earlier in the pandemic, I saw people who literally died from loneliness and isolation.

He and his wife flew there. He sent me a picture of himself with his granddaughter. When he returned, he showed me a handwritten note from her that said, “I love you so much. Everyone else canceled, which made me cry. You’re the only one who came. You have no idea how much this meant to me.”

He’s back in L.A., and he didn’t get COVID. He said, “It was the best thing I’ve done in years.” That’s what I need to help people with, navigating this world with COVID and assessing risks and benefits. As with all of medicine, my advice is individualized. My advice changes based on the major circulating variant and the rates of the virus in the population, as well as the risk factors of the individual.
 

Q: What are you doing now?

A:
I’m trying to avoid getting COVID again, or another booster. I could get pre-exposure monoclonal antibodies but am waiting to do anything further until I see what happens over the fall and winter. I still wear a mask inside but now do a mix of in-person and telemedicine visits. I still try to go to outdoor restaurants, which is easy in California. But I’m flying to see my son in New York and plan to go to Europe this fall for a meeting. I also go to my cabin in Montana every month to get my “dose” of the wilderness. Overall, I travel for conferences and speaking engagements much less because I have learned the joy of staying home.

Thinking back on my life as a doctor, my career began as an intern at Stanford rotating through Ward 5B, the AIDS unit at San Francisco General Hospital, and will likely end with COVID. In spite of all our medical advances, my generation of physicians, much as many generations before us, has a front-row seat to the vulnerability of humans to infectious diseases and how far we still need to go to protect our patients from communicable illness.

A version of this article first appeared on Medscape.com.

Anne L. Peters, MD, is a professor of medicine at the University of Southern California, Los Angeles, and director of the USC clinical diabetes programs. She has published more than 200 articles, reviews, and abstracts; three books on diabetes; and has been an investigator for more than 40 research studies. She has spoken internationally at over 400 programs and serves on many committees of several professional organizations.

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Early in 2020, Anne Peters, MD, caught COVID-19. The author of Medscape’s “Peters on Diabetes” column was sick in March 2020 before state-mandated lockdowns, and well before there were any vaccines.

She remembers sitting in a small exam room with two patients who had flown to her Los Angeles office from New York. The elderly couple had hearing difficulties, so Dr. Peters sat close to them, putting on a continuous glucose monitor. “At that time, we didn’t think of COVID-19 as being in L.A.,” Dr. Peters recalled, “so I think we were not terribly consistent at mask-wearing due to the need to educate.”

Dr. Anne L. Peters

“Several days later, I got COVID, but I didn’t know I had COVID per se. I felt crappy, had a terrible sore throat, lost my sense of taste and smell [which was not yet described as a COVID symptom], was completely exhausted, but had no fever or cough, which were the only criteria for getting COVID tested at the time. I didn’t know I had been exposed until 2 weeks later, when the patient’s assistant returned the sensor warning us to ‘be careful’ with it because the patient and his wife were recovering from COVID.”

That early battle with COVID-19 was just the beginning of what would become a 2-year struggle, including familial loss amid her own health problems and concerns about the under-resourced patients she cares for. Here, she shares her journey through the pandemic with this news organization.
 

Question: Thanks for talking to us. Let’s discuss your journey over these past 2.5 years.

Answer:
Everybody has their own COVID story because we all went through this together. Some of us have worse COVID stories, and some of us have better ones, but all have been impacted.

I’m not a sick person. I’m a very healthy person but COVID made me so unwell for 2 years. The brain fog and fatigue were nothing compared to the autonomic neuropathy that affected my heart. It was really limiting for me. And I still don’t know the long-term implications, looking 20-30 years from now.
 

Q: When you initially had COVID, what were your symptoms? What was the impact?

A:
I had all the symptoms of COVID, except for a cough and fever. I lost my sense of taste and smell. I had a horrible headache, a sore throat, and I was exhausted. I couldn’t get tested because I didn’t have the right symptoms.

Despite being sick, I never stopped working but just switched to telemedicine. I also took my regular monthly trip to our cabin in Montana. I unknowingly flew on a plane with COVID. I wore a well-fitted N95 mask, so I don’t think I gave anybody COVID. I didn’t give COVID to my partner, Eric, which is hard to believe as – at 77 – he’s older than me. He has diabetes, heart disease, and every other high-risk characteristic. If he’d gotten COVID back then, it would have been terrible, as there were no treatments, but luckily he didn’t get it.
 

 

 

Q: When were you officially diagnosed?

A:
Two or 3 months after I thought I might have had COVID, I checked my antibodies, which tested strongly positive for a prior COVID infection. That was when I knew all the symptoms I’d had were due to the disease.

Q: Not only were you dealing with your own illness, but also that of those close to you. Can you talk about that?

A:
In April 2020, my mother who was in her 90s and otherwise healthy except for dementia, got COVID. She could have gotten it from me. I visited often but wore a mask. She had all the horrible pulmonary symptoms. In her advance directive, she didn’t want to be hospitalized so I kept her in her home. She died from COVID in her own bed. It was fairly brutal, but at least I kept her where she felt comforted.

My 91-year-old dad was living in a different residential facility. Throughout COVID he had become very depressed because his social patterns had changed. Prior to COVID, they all ate together, but during the pandemic they were unable to. He missed his social connections, disliked being isolated in his room, hated everyone in masks.

He was a bit demented, but not so much that he couldn’t communicate with me or remember where his grandson was going to law school. I wasn’t allowed inside the facility, which was hard on him. I hadn’t told him his wife died because the hospice social workers advised me that I shouldn’t give him news that he couldn’t process readily until I could spend time with him. Unfortunately, that time never came. In December 2020, he got COVID. One of the people in that facility had gone to the hospital, came back, and tested negative, but actually had COVID and gave it to my dad. The guy who gave it to my dad didn’t die but my dad was terribly ill. He died 2 weeks short of getting his vaccine. He was coherent enough to have a conversation. I asked him: ‘Do you want to go to the hospital?’ And he said: ‘No, because it would be too scary,’ since he couldn’t be with me. I put him on hospice and held his hand as he died from pulmonary COVID, which was awful. I couldn’t give him enough morphine or valium to ease his breathing. But his last words to me were “I love you,” and at the very end he seemed peaceful, which was a blessing.

I got an autopsy, because he wanted one. Nothing else was wrong with him other than COVID. It destroyed his lungs. The rest of him was fine – no heart disease, cancer, or anything else. He died of COVID-19, the same as my mother.

That same week, my aunt, my only surviving older relative, who was in Des Moines, Iowa, died of COVID-19. All three family members died before the vaccine came out.

It was hard to lose my parents. I’m the only surviving child because my sister died in her 20s. It’s not been an easy pandemic. But what pandemic is easy? I just happened to have lost more people than most. Ironically, my grandfather was one of the legionnaires at the Bellevue-Stratford Hotel in Philadelphia in 1976 and died of Legionnaire’s disease before we knew what was causing the outbreak.
 

 

 

Q: Were you still struggling with COVID?

A:
COVID impacted my whole body. I lost a lot of weight. I didn’t want to eat, and my gastrointestinal system was not happy. It took a while for my sense of taste and smell to come back. Nothing tasted good. I’m not a foodie; I don’t really care about food. We could get takeout or whatever, but none of it appealed to me. I’m not so sure it was a taste thing, I just didn’t feel like eating.

I didn’t realize I had “brain fog” per se, because I felt stressed and overwhelmed by the pandemic and my patients’ concerns. But one day, about 3 months after I had developed COVID, I woke up without the fog. Which made me aware that I hadn’t been feeling right up until that point.



The worst symptoms, however, were cardiac. I noticed also immediately that my heart rate went up very quickly with minimal exertion. My pulse has always been in the 55-60 bpm range, and suddenly just walking across a room made it go up to over 140 bpm. If I did any aerobic activity, it went up over 160 and would be associated with dyspnea and chest pain. I believed these were all post-COVID symptoms and felt validated when reports of others having similar issues were published in the literature.

Q: Did you continue seeing patients?

A:
Yes, of course. Patients never needed their doctors more. In East L.A., where patients don’t have easy access to telemedicine, I kept going into clinic throughout the pandemic. In the more affluent Westside of Los Angeles, we switched to telemedicine, which was quite effective for most. However, because diabetes was associated with an increased risk of hospitalization and death from COVID, my patients were understandably afraid. I’ve never been busier, but (like all health care providers), I became more of a COVID provider than a diabetologist.

Q: Do you feel your battle with COVID impacted your work?

A:
It didn’t affect me at work. If I was sitting still, I was fine. Sitting at home at a desk, I didn’t notice any symptoms. But as a habitual stair-user, I would be gasping for breath in the stairwell because I couldn’t go up the stairs to my office as I once could.

I think you empathize more with people who had COVID (when you’ve had it yourself). There was such a huge patient burden. And I think that’s been the thing that’s affected health care providers the most – no matter what specialty we’re in – that nobody has answers.
 

Q: What happened after you had your vaccine?

A:
The vaccine itself was fine. I didn’t have any reaction to the first two doses. But the first booster made my cardiac issues worse.

By this point, my cardiac problems stopped me from exercising. I even went to the ER with chest pain once because I was having palpitations and chest pressure caused by simply taking my morning shower. Fortunately, I wasn’t having an MI, but I certainly wasn’t “normal.”

My measure of my fitness is the cross-country skiing trail I use in Montana. I know exactly how far I can ski. Usually I can do the loop in 35 minutes. After COVID, I lasted 10 minutes. I would be tachycardic, short of breath with chest pain radiating down my left arm. I would rest and try to keep going. But with each rest period, I only got worse. I would be laying in the snow and strangers would ask if I needed help.
 

 

 

Q: What helped you?

A:
I’ve read a lot about long COVID and have tried to learn from the experts. Of course, I never went to a doctor directly, although I did ask colleagues for advice. What I learned was to never push myself. I forced myself to create an exercise schedule where I only exercised three times a week with rest days in between. When exercising, the second my heart rate went above 140 bpm, I stopped until I could get it back down. I would push against this new limit, even though my limit was low.

Additionally, I worked on my breathing patterns and did meditative breathing for 10 minutes twice daily using a commercially available app.

Although progress was slow, I did improve, and by June 2022, I seemed back to normal. I was not as fit as I was prior to COVID and needed to improve, but the tachycardic response to exercise and cardiac symptoms were gone. I felt like my normal self. Normal enough to go on a spot packing trip in the Sierras in August. (Horses carried us and a mule carried the gear over the 12,000-foot pass into the mountains, and then left my friend and me high in the Sierras for a week.) We were camped above 10,000 feet and every day hiked up to another high mountain lake where we fly-fished for trout that we ate for dinner. The hikes were a challenge, but not abnormally so. Not as they would have been while I had long COVID.
 

Q: What is the current atmosphere in your clinic?

A:
COVID is much milder now in my vaccinated patients, but I feel most health care providers are exhausted. Many of my staff left when COVID hit because they didn’t want to keep working. It made practicing medicine exhausting. There’s been a shortage of nurses, a shortage of everything. We’ve been required to do a whole lot more than we ever did before. It’s much harder to be a doctor. This pandemic is the first time I’ve ever thought of quitting. Granted, I lost my whole family, or at least the older generation, but it’s just been almost overwhelming.

On the plus side, almost every one of my patients has been vaccinated, because early on, people would ask: “Do you trust this vaccine?” I would reply: “I saw my parents die from COVID when they weren’t vaccinated, so you’re getting vaccinated. This is real and the vaccines help.” It made me very good at convincing people to get vaccines because I knew what it was like to see someone dying from COVID up close.
 

Q: What advice do you have for those struggling with the COVID pandemic?

A:
People need to decide what their own risk is for getting sick and how many times they want to get COVID. At this point, I want people to go out, but safely. In the beginning, when my patients said, “can I go visit my granddaughter?” I said, “no,” but that was before we had the vaccine. Now I feel it is safe to go out using common sense. I still have my patients wear masks on planes. I still have patients try to eat outside as much as possible. And I tell people to take the precautions that make sense, but I tell them to go out and do things because life is short.

I had a patient in his 70s who has many risk factors like heart disease and diabetes. His granddaughter’s Bat Mitzvah in Florida was coming up. He asked: “Can I go?” I told him “Yes,” but to be safe – to wear an N95 mask on the plane and at the event, and stay in his own hotel room, rather than with the whole family. I said, “You need to do this.” Earlier in the pandemic, I saw people who literally died from loneliness and isolation.

He and his wife flew there. He sent me a picture of himself with his granddaughter. When he returned, he showed me a handwritten note from her that said, “I love you so much. Everyone else canceled, which made me cry. You’re the only one who came. You have no idea how much this meant to me.”

He’s back in L.A., and he didn’t get COVID. He said, “It was the best thing I’ve done in years.” That’s what I need to help people with, navigating this world with COVID and assessing risks and benefits. As with all of medicine, my advice is individualized. My advice changes based on the major circulating variant and the rates of the virus in the population, as well as the risk factors of the individual.
 

Q: What are you doing now?

A:
I’m trying to avoid getting COVID again, or another booster. I could get pre-exposure monoclonal antibodies but am waiting to do anything further until I see what happens over the fall and winter. I still wear a mask inside but now do a mix of in-person and telemedicine visits. I still try to go to outdoor restaurants, which is easy in California. But I’m flying to see my son in New York and plan to go to Europe this fall for a meeting. I also go to my cabin in Montana every month to get my “dose” of the wilderness. Overall, I travel for conferences and speaking engagements much less because I have learned the joy of staying home.

Thinking back on my life as a doctor, my career began as an intern at Stanford rotating through Ward 5B, the AIDS unit at San Francisco General Hospital, and will likely end with COVID. In spite of all our medical advances, my generation of physicians, much as many generations before us, has a front-row seat to the vulnerability of humans to infectious diseases and how far we still need to go to protect our patients from communicable illness.

A version of this article first appeared on Medscape.com.

Anne L. Peters, MD, is a professor of medicine at the University of Southern California, Los Angeles, and director of the USC clinical diabetes programs. She has published more than 200 articles, reviews, and abstracts; three books on diabetes; and has been an investigator for more than 40 research studies. She has spoken internationally at over 400 programs and serves on many committees of several professional organizations.

Early in 2020, Anne Peters, MD, caught COVID-19. The author of Medscape’s “Peters on Diabetes” column was sick in March 2020 before state-mandated lockdowns, and well before there were any vaccines.

She remembers sitting in a small exam room with two patients who had flown to her Los Angeles office from New York. The elderly couple had hearing difficulties, so Dr. Peters sat close to them, putting on a continuous glucose monitor. “At that time, we didn’t think of COVID-19 as being in L.A.,” Dr. Peters recalled, “so I think we were not terribly consistent at mask-wearing due to the need to educate.”

Dr. Anne L. Peters

“Several days later, I got COVID, but I didn’t know I had COVID per se. I felt crappy, had a terrible sore throat, lost my sense of taste and smell [which was not yet described as a COVID symptom], was completely exhausted, but had no fever or cough, which were the only criteria for getting COVID tested at the time. I didn’t know I had been exposed until 2 weeks later, when the patient’s assistant returned the sensor warning us to ‘be careful’ with it because the patient and his wife were recovering from COVID.”

That early battle with COVID-19 was just the beginning of what would become a 2-year struggle, including familial loss amid her own health problems and concerns about the under-resourced patients she cares for. Here, she shares her journey through the pandemic with this news organization.
 

Question: Thanks for talking to us. Let’s discuss your journey over these past 2.5 years.

Answer:
Everybody has their own COVID story because we all went through this together. Some of us have worse COVID stories, and some of us have better ones, but all have been impacted.

I’m not a sick person. I’m a very healthy person but COVID made me so unwell for 2 years. The brain fog and fatigue were nothing compared to the autonomic neuropathy that affected my heart. It was really limiting for me. And I still don’t know the long-term implications, looking 20-30 years from now.
 

Q: When you initially had COVID, what were your symptoms? What was the impact?

A:
I had all the symptoms of COVID, except for a cough and fever. I lost my sense of taste and smell. I had a horrible headache, a sore throat, and I was exhausted. I couldn’t get tested because I didn’t have the right symptoms.

Despite being sick, I never stopped working but just switched to telemedicine. I also took my regular monthly trip to our cabin in Montana. I unknowingly flew on a plane with COVID. I wore a well-fitted N95 mask, so I don’t think I gave anybody COVID. I didn’t give COVID to my partner, Eric, which is hard to believe as – at 77 – he’s older than me. He has diabetes, heart disease, and every other high-risk characteristic. If he’d gotten COVID back then, it would have been terrible, as there were no treatments, but luckily he didn’t get it.
 

 

 

Q: When were you officially diagnosed?

A:
Two or 3 months after I thought I might have had COVID, I checked my antibodies, which tested strongly positive for a prior COVID infection. That was when I knew all the symptoms I’d had were due to the disease.

Q: Not only were you dealing with your own illness, but also that of those close to you. Can you talk about that?

A:
In April 2020, my mother who was in her 90s and otherwise healthy except for dementia, got COVID. She could have gotten it from me. I visited often but wore a mask. She had all the horrible pulmonary symptoms. In her advance directive, she didn’t want to be hospitalized so I kept her in her home. She died from COVID in her own bed. It was fairly brutal, but at least I kept her where she felt comforted.

My 91-year-old dad was living in a different residential facility. Throughout COVID he had become very depressed because his social patterns had changed. Prior to COVID, they all ate together, but during the pandemic they were unable to. He missed his social connections, disliked being isolated in his room, hated everyone in masks.

He was a bit demented, but not so much that he couldn’t communicate with me or remember where his grandson was going to law school. I wasn’t allowed inside the facility, which was hard on him. I hadn’t told him his wife died because the hospice social workers advised me that I shouldn’t give him news that he couldn’t process readily until I could spend time with him. Unfortunately, that time never came. In December 2020, he got COVID. One of the people in that facility had gone to the hospital, came back, and tested negative, but actually had COVID and gave it to my dad. The guy who gave it to my dad didn’t die but my dad was terribly ill. He died 2 weeks short of getting his vaccine. He was coherent enough to have a conversation. I asked him: ‘Do you want to go to the hospital?’ And he said: ‘No, because it would be too scary,’ since he couldn’t be with me. I put him on hospice and held his hand as he died from pulmonary COVID, which was awful. I couldn’t give him enough morphine or valium to ease his breathing. But his last words to me were “I love you,” and at the very end he seemed peaceful, which was a blessing.

I got an autopsy, because he wanted one. Nothing else was wrong with him other than COVID. It destroyed his lungs. The rest of him was fine – no heart disease, cancer, or anything else. He died of COVID-19, the same as my mother.

That same week, my aunt, my only surviving older relative, who was in Des Moines, Iowa, died of COVID-19. All three family members died before the vaccine came out.

It was hard to lose my parents. I’m the only surviving child because my sister died in her 20s. It’s not been an easy pandemic. But what pandemic is easy? I just happened to have lost more people than most. Ironically, my grandfather was one of the legionnaires at the Bellevue-Stratford Hotel in Philadelphia in 1976 and died of Legionnaire’s disease before we knew what was causing the outbreak.
 

 

 

Q: Were you still struggling with COVID?

A:
COVID impacted my whole body. I lost a lot of weight. I didn’t want to eat, and my gastrointestinal system was not happy. It took a while for my sense of taste and smell to come back. Nothing tasted good. I’m not a foodie; I don’t really care about food. We could get takeout or whatever, but none of it appealed to me. I’m not so sure it was a taste thing, I just didn’t feel like eating.

I didn’t realize I had “brain fog” per se, because I felt stressed and overwhelmed by the pandemic and my patients’ concerns. But one day, about 3 months after I had developed COVID, I woke up without the fog. Which made me aware that I hadn’t been feeling right up until that point.



The worst symptoms, however, were cardiac. I noticed also immediately that my heart rate went up very quickly with minimal exertion. My pulse has always been in the 55-60 bpm range, and suddenly just walking across a room made it go up to over 140 bpm. If I did any aerobic activity, it went up over 160 and would be associated with dyspnea and chest pain. I believed these were all post-COVID symptoms and felt validated when reports of others having similar issues were published in the literature.

Q: Did you continue seeing patients?

A:
Yes, of course. Patients never needed their doctors more. In East L.A., where patients don’t have easy access to telemedicine, I kept going into clinic throughout the pandemic. In the more affluent Westside of Los Angeles, we switched to telemedicine, which was quite effective for most. However, because diabetes was associated with an increased risk of hospitalization and death from COVID, my patients were understandably afraid. I’ve never been busier, but (like all health care providers), I became more of a COVID provider than a diabetologist.

Q: Do you feel your battle with COVID impacted your work?

A:
It didn’t affect me at work. If I was sitting still, I was fine. Sitting at home at a desk, I didn’t notice any symptoms. But as a habitual stair-user, I would be gasping for breath in the stairwell because I couldn’t go up the stairs to my office as I once could.

I think you empathize more with people who had COVID (when you’ve had it yourself). There was such a huge patient burden. And I think that’s been the thing that’s affected health care providers the most – no matter what specialty we’re in – that nobody has answers.
 

Q: What happened after you had your vaccine?

A:
The vaccine itself was fine. I didn’t have any reaction to the first two doses. But the first booster made my cardiac issues worse.

By this point, my cardiac problems stopped me from exercising. I even went to the ER with chest pain once because I was having palpitations and chest pressure caused by simply taking my morning shower. Fortunately, I wasn’t having an MI, but I certainly wasn’t “normal.”

My measure of my fitness is the cross-country skiing trail I use in Montana. I know exactly how far I can ski. Usually I can do the loop in 35 minutes. After COVID, I lasted 10 minutes. I would be tachycardic, short of breath with chest pain radiating down my left arm. I would rest and try to keep going. But with each rest period, I only got worse. I would be laying in the snow and strangers would ask if I needed help.
 

 

 

Q: What helped you?

A:
I’ve read a lot about long COVID and have tried to learn from the experts. Of course, I never went to a doctor directly, although I did ask colleagues for advice. What I learned was to never push myself. I forced myself to create an exercise schedule where I only exercised three times a week with rest days in between. When exercising, the second my heart rate went above 140 bpm, I stopped until I could get it back down. I would push against this new limit, even though my limit was low.

Additionally, I worked on my breathing patterns and did meditative breathing for 10 minutes twice daily using a commercially available app.

Although progress was slow, I did improve, and by June 2022, I seemed back to normal. I was not as fit as I was prior to COVID and needed to improve, but the tachycardic response to exercise and cardiac symptoms were gone. I felt like my normal self. Normal enough to go on a spot packing trip in the Sierras in August. (Horses carried us and a mule carried the gear over the 12,000-foot pass into the mountains, and then left my friend and me high in the Sierras for a week.) We were camped above 10,000 feet and every day hiked up to another high mountain lake where we fly-fished for trout that we ate for dinner. The hikes were a challenge, but not abnormally so. Not as they would have been while I had long COVID.
 

Q: What is the current atmosphere in your clinic?

A:
COVID is much milder now in my vaccinated patients, but I feel most health care providers are exhausted. Many of my staff left when COVID hit because they didn’t want to keep working. It made practicing medicine exhausting. There’s been a shortage of nurses, a shortage of everything. We’ve been required to do a whole lot more than we ever did before. It’s much harder to be a doctor. This pandemic is the first time I’ve ever thought of quitting. Granted, I lost my whole family, or at least the older generation, but it’s just been almost overwhelming.

On the plus side, almost every one of my patients has been vaccinated, because early on, people would ask: “Do you trust this vaccine?” I would reply: “I saw my parents die from COVID when they weren’t vaccinated, so you’re getting vaccinated. This is real and the vaccines help.” It made me very good at convincing people to get vaccines because I knew what it was like to see someone dying from COVID up close.
 

Q: What advice do you have for those struggling with the COVID pandemic?

A:
People need to decide what their own risk is for getting sick and how many times they want to get COVID. At this point, I want people to go out, but safely. In the beginning, when my patients said, “can I go visit my granddaughter?” I said, “no,” but that was before we had the vaccine. Now I feel it is safe to go out using common sense. I still have my patients wear masks on planes. I still have patients try to eat outside as much as possible. And I tell people to take the precautions that make sense, but I tell them to go out and do things because life is short.

I had a patient in his 70s who has many risk factors like heart disease and diabetes. His granddaughter’s Bat Mitzvah in Florida was coming up. He asked: “Can I go?” I told him “Yes,” but to be safe – to wear an N95 mask on the plane and at the event, and stay in his own hotel room, rather than with the whole family. I said, “You need to do this.” Earlier in the pandemic, I saw people who literally died from loneliness and isolation.

He and his wife flew there. He sent me a picture of himself with his granddaughter. When he returned, he showed me a handwritten note from her that said, “I love you so much. Everyone else canceled, which made me cry. You’re the only one who came. You have no idea how much this meant to me.”

He’s back in L.A., and he didn’t get COVID. He said, “It was the best thing I’ve done in years.” That’s what I need to help people with, navigating this world with COVID and assessing risks and benefits. As with all of medicine, my advice is individualized. My advice changes based on the major circulating variant and the rates of the virus in the population, as well as the risk factors of the individual.
 

Q: What are you doing now?

A:
I’m trying to avoid getting COVID again, or another booster. I could get pre-exposure monoclonal antibodies but am waiting to do anything further until I see what happens over the fall and winter. I still wear a mask inside but now do a mix of in-person and telemedicine visits. I still try to go to outdoor restaurants, which is easy in California. But I’m flying to see my son in New York and plan to go to Europe this fall for a meeting. I also go to my cabin in Montana every month to get my “dose” of the wilderness. Overall, I travel for conferences and speaking engagements much less because I have learned the joy of staying home.

Thinking back on my life as a doctor, my career began as an intern at Stanford rotating through Ward 5B, the AIDS unit at San Francisco General Hospital, and will likely end with COVID. In spite of all our medical advances, my generation of physicians, much as many generations before us, has a front-row seat to the vulnerability of humans to infectious diseases and how far we still need to go to protect our patients from communicable illness.

A version of this article first appeared on Medscape.com.

Anne L. Peters, MD, is a professor of medicine at the University of Southern California, Los Angeles, and director of the USC clinical diabetes programs. She has published more than 200 articles, reviews, and abstracts; three books on diabetes; and has been an investigator for more than 40 research studies. She has spoken internationally at over 400 programs and serves on many committees of several professional organizations.

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