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Electronic Health Records–Based Cardio-Oncology Registry for Care Gap Identification and Pragmatic Research: Procedure and Observational Study

BACKGROUND: Professional society guidelines are emerging for cardiovascular care in cancer patients. However, it is not yet clear how effectively the cancer survivor population is screened and treated for cardiomyopathy in contemporary clinical practice. As electronic health records (EHRs) are now w...

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Autores principales: Chandra, Alvin, Philips, Steven T, Pandey, Ambarish, Basit, Mujeeb, Kannan, Vaishnavi, Sara, Evan J, Das, Sandeep R, Lee, Simon J C, Haley, Barbara, Willett, DuWayne L, Zaha, Vlad G
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8411429/
https://www.ncbi.nlm.nih.gov/pubmed/33797396
http://dx.doi.org/10.2196/22296
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author Chandra, Alvin
Philips, Steven T
Pandey, Ambarish
Basit, Mujeeb
Kannan, Vaishnavi
Sara, Evan J
Das, Sandeep R
Lee, Simon J C
Haley, Barbara
Willett, DuWayne L
Zaha, Vlad G
author_facet Chandra, Alvin
Philips, Steven T
Pandey, Ambarish
Basit, Mujeeb
Kannan, Vaishnavi
Sara, Evan J
Das, Sandeep R
Lee, Simon J C
Haley, Barbara
Willett, DuWayne L
Zaha, Vlad G
author_sort Chandra, Alvin
collection PubMed
description BACKGROUND: Professional society guidelines are emerging for cardiovascular care in cancer patients. However, it is not yet clear how effectively the cancer survivor population is screened and treated for cardiomyopathy in contemporary clinical practice. As electronic health records (EHRs) are now widely used in clinical practice, we tested the hypothesis that an EHR-based cardio-oncology registry can address these questions. OBJECTIVE: The aim of this study was to develop an EHR-based pragmatic cardio-oncology registry and, as proof of principle, to investigate care gaps in the cardiovascular care of cancer patients. METHODS: We generated a programmatically deidentified, real-time EHR-based cardio-oncology registry from all patients in our institutional Cancer Population Registry (N=8275, 2011-2017). We investigated: (1) left ventricular ejection fraction (LVEF) assessment before and after treatment with potentially cardiotoxic agents; and (2) guideline-directed medical therapy (GDMT) for left ventricular dysfunction (LVD), defined as LVEF<50%, and symptomatic heart failure with reduced LVEF (HFrEF), defined as LVEF<50% and Problem List documentation of systolic congestive heart failure or dilated cardiomyopathy. RESULTS: Rapid development of an EHR-based cardio-oncology registry was feasible. Identification of tests and outcomes was similar using the EHR-based cardio-oncology registry and manual chart abstraction (100% sensitivity and 83% specificity for LVD). LVEF was documented prior to initiation of cancer therapy in 19.8% of patients. Prevalence of postchemotherapy LVD and HFrEF was relatively low (9.4% and 2.5%, respectively). Among patients with postchemotherapy LVD or HFrEF, those referred to cardiology had a significantly higher prescription rate of a GDMT. CONCLUSIONS: EHR data can efficiently populate a real-time, pragmatic cardio-oncology registry as a byproduct of clinical care for health care delivery investigations.
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spelling pubmed-84114292021-09-02 Electronic Health Records–Based Cardio-Oncology Registry for Care Gap Identification and Pragmatic Research: Procedure and Observational Study Chandra, Alvin Philips, Steven T Pandey, Ambarish Basit, Mujeeb Kannan, Vaishnavi Sara, Evan J Das, Sandeep R Lee, Simon J C Haley, Barbara Willett, DuWayne L Zaha, Vlad G JMIR Cardio Original Paper BACKGROUND: Professional society guidelines are emerging for cardiovascular care in cancer patients. However, it is not yet clear how effectively the cancer survivor population is screened and treated for cardiomyopathy in contemporary clinical practice. As electronic health records (EHRs) are now widely used in clinical practice, we tested the hypothesis that an EHR-based cardio-oncology registry can address these questions. OBJECTIVE: The aim of this study was to develop an EHR-based pragmatic cardio-oncology registry and, as proof of principle, to investigate care gaps in the cardiovascular care of cancer patients. METHODS: We generated a programmatically deidentified, real-time EHR-based cardio-oncology registry from all patients in our institutional Cancer Population Registry (N=8275, 2011-2017). We investigated: (1) left ventricular ejection fraction (LVEF) assessment before and after treatment with potentially cardiotoxic agents; and (2) guideline-directed medical therapy (GDMT) for left ventricular dysfunction (LVD), defined as LVEF<50%, and symptomatic heart failure with reduced LVEF (HFrEF), defined as LVEF<50% and Problem List documentation of systolic congestive heart failure or dilated cardiomyopathy. RESULTS: Rapid development of an EHR-based cardio-oncology registry was feasible. Identification of tests and outcomes was similar using the EHR-based cardio-oncology registry and manual chart abstraction (100% sensitivity and 83% specificity for LVD). LVEF was documented prior to initiation of cancer therapy in 19.8% of patients. Prevalence of postchemotherapy LVD and HFrEF was relatively low (9.4% and 2.5%, respectively). Among patients with postchemotherapy LVD or HFrEF, those referred to cardiology had a significantly higher prescription rate of a GDMT. CONCLUSIONS: EHR data can efficiently populate a real-time, pragmatic cardio-oncology registry as a byproduct of clinical care for health care delivery investigations. JMIR Publications 2021-05-12 /pmc/articles/PMC8411429/ /pubmed/33797396 http://dx.doi.org/10.2196/22296 Text en ©Alvin Chandra, Steven T Philips, Ambarish Pandey, Mujeeb Basit, Vaishnavi Kannan, Evan J Sara, Sandeep R Das, Simon J C Lee, Barbara Haley, DuWayne L Willett, Vlad G Zaha. Originally published in JMIR Cardio (https://cardio.jmir.org), 12.05.2021. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Cardio, is properly cited. The complete bibliographic information, a link to the original publication on https://cardio.jmir.org, as well as this copyright and license information must be included.
spellingShingle Original Paper
Chandra, Alvin
Philips, Steven T
Pandey, Ambarish
Basit, Mujeeb
Kannan, Vaishnavi
Sara, Evan J
Das, Sandeep R
Lee, Simon J C
Haley, Barbara
Willett, DuWayne L
Zaha, Vlad G
Electronic Health Records–Based Cardio-Oncology Registry for Care Gap Identification and Pragmatic Research: Procedure and Observational Study
title Electronic Health Records–Based Cardio-Oncology Registry for Care Gap Identification and Pragmatic Research: Procedure and Observational Study
title_full Electronic Health Records–Based Cardio-Oncology Registry for Care Gap Identification and Pragmatic Research: Procedure and Observational Study
title_fullStr Electronic Health Records–Based Cardio-Oncology Registry for Care Gap Identification and Pragmatic Research: Procedure and Observational Study
title_full_unstemmed Electronic Health Records–Based Cardio-Oncology Registry for Care Gap Identification and Pragmatic Research: Procedure and Observational Study
title_short Electronic Health Records–Based Cardio-Oncology Registry for Care Gap Identification and Pragmatic Research: Procedure and Observational Study
title_sort electronic health records–based cardio-oncology registry for care gap identification and pragmatic research: procedure and observational study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8411429/
https://www.ncbi.nlm.nih.gov/pubmed/33797396
http://dx.doi.org/10.2196/22296
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