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Protocol for project recovery after cardiac surgery: a single-center cohort study leveraging digital platform to characterise longitudinal patient-reported postoperative recovery patterns

INTRODUCTION: Improving postoperative patient recovery after cardiac surgery is a priority, but our current understanding of individual variations in recovery and factors associated with poor recovery is limited. We are using a health-information exchange platform to collect patient-reported outcome...

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Autores principales: Mori, Makoto, Brooks, Cornell, Spatz, Erica, Mortazavi, Bobak J, Dhruva, Sanket S, Linderman, George C, Grab, Lawrence A, Zhang, Yawei, Geirsson, Arnar, Chaudhry, Sarwat I, Krumholz, Harlan M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7467526/
https://www.ncbi.nlm.nih.gov/pubmed/32873671
http://dx.doi.org/10.1136/bmjopen-2020-036959
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author Mori, Makoto
Brooks, Cornell
Spatz, Erica
Mortazavi, Bobak J
Dhruva, Sanket S
Linderman, George C
Grab, Lawrence A
Zhang, Yawei
Geirsson, Arnar
Chaudhry, Sarwat I
Krumholz, Harlan M
author_facet Mori, Makoto
Brooks, Cornell
Spatz, Erica
Mortazavi, Bobak J
Dhruva, Sanket S
Linderman, George C
Grab, Lawrence A
Zhang, Yawei
Geirsson, Arnar
Chaudhry, Sarwat I
Krumholz, Harlan M
author_sort Mori, Makoto
collection PubMed
description INTRODUCTION: Improving postoperative patient recovery after cardiac surgery is a priority, but our current understanding of individual variations in recovery and factors associated with poor recovery is limited. We are using a health-information exchange platform to collect patient-reported outcome measures (PROMs) and wearable device data to phenotype recovery patterns in the 30-day period after cardiac surgery hospital discharge, to identify factors associated with these phenotypes and to investigate phenotype associations with clinical outcomes. METHODS AND ANALYSIS: We designed a prospective cohort study to enrol 200 patients undergoing valve, coronary artery bypass graft or aortic surgery at a tertiary centre in the USA. We are enrolling patients postoperatively after the intensive care unit discharge and delivering electronic surveys directly to patients every 3 days for 30 days after hospital discharge. We will conduct medical record reviews to collect patient demographics, comorbidity, operative details and hospital course using the Society of Thoracic Surgeons data definitions. We will use phone interview and medical record review data for adjudication of survival, readmission and complications. We will apply group-based trajectory modelling to the time-series PROM and device data to classify patients into distinct categories of recovery trajectories. We will evaluate whether certain recovery pattern predicts death or hospital readmissions, as well as whether clinical factors predict a patient having poor recovery trajectories. We will evaluate whether early recovery patterns predict the overall trajectory at the patient-level. ETHICS AND DISSEMINATION: The Yale Institutional Review Board approved this study. Following the description of the study procedure, we obtain written informed consent from all study participants. The consent form states that all personal information, survey response and any medical records are confidential, will not be shared and are stored in an encrypted database. We plan to publish our study findings in peer-reviewed journals.
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spelling pubmed-74675262020-09-11 Protocol for project recovery after cardiac surgery: a single-center cohort study leveraging digital platform to characterise longitudinal patient-reported postoperative recovery patterns Mori, Makoto Brooks, Cornell Spatz, Erica Mortazavi, Bobak J Dhruva, Sanket S Linderman, George C Grab, Lawrence A Zhang, Yawei Geirsson, Arnar Chaudhry, Sarwat I Krumholz, Harlan M BMJ Open Surgery INTRODUCTION: Improving postoperative patient recovery after cardiac surgery is a priority, but our current understanding of individual variations in recovery and factors associated with poor recovery is limited. We are using a health-information exchange platform to collect patient-reported outcome measures (PROMs) and wearable device data to phenotype recovery patterns in the 30-day period after cardiac surgery hospital discharge, to identify factors associated with these phenotypes and to investigate phenotype associations with clinical outcomes. METHODS AND ANALYSIS: We designed a prospective cohort study to enrol 200 patients undergoing valve, coronary artery bypass graft or aortic surgery at a tertiary centre in the USA. We are enrolling patients postoperatively after the intensive care unit discharge and delivering electronic surveys directly to patients every 3 days for 30 days after hospital discharge. We will conduct medical record reviews to collect patient demographics, comorbidity, operative details and hospital course using the Society of Thoracic Surgeons data definitions. We will use phone interview and medical record review data for adjudication of survival, readmission and complications. We will apply group-based trajectory modelling to the time-series PROM and device data to classify patients into distinct categories of recovery trajectories. We will evaluate whether certain recovery pattern predicts death or hospital readmissions, as well as whether clinical factors predict a patient having poor recovery trajectories. We will evaluate whether early recovery patterns predict the overall trajectory at the patient-level. ETHICS AND DISSEMINATION: The Yale Institutional Review Board approved this study. Following the description of the study procedure, we obtain written informed consent from all study participants. The consent form states that all personal information, survey response and any medical records are confidential, will not be shared and are stored in an encrypted database. We plan to publish our study findings in peer-reviewed journals. BMJ Publishing Group 2020-09-01 /pmc/articles/PMC7467526/ /pubmed/32873671 http://dx.doi.org/10.1136/bmjopen-2020-036959 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Surgery
Mori, Makoto
Brooks, Cornell
Spatz, Erica
Mortazavi, Bobak J
Dhruva, Sanket S
Linderman, George C
Grab, Lawrence A
Zhang, Yawei
Geirsson, Arnar
Chaudhry, Sarwat I
Krumholz, Harlan M
Protocol for project recovery after cardiac surgery: a single-center cohort study leveraging digital platform to characterise longitudinal patient-reported postoperative recovery patterns
title Protocol for project recovery after cardiac surgery: a single-center cohort study leveraging digital platform to characterise longitudinal patient-reported postoperative recovery patterns
title_full Protocol for project recovery after cardiac surgery: a single-center cohort study leveraging digital platform to characterise longitudinal patient-reported postoperative recovery patterns
title_fullStr Protocol for project recovery after cardiac surgery: a single-center cohort study leveraging digital platform to characterise longitudinal patient-reported postoperative recovery patterns
title_full_unstemmed Protocol for project recovery after cardiac surgery: a single-center cohort study leveraging digital platform to characterise longitudinal patient-reported postoperative recovery patterns
title_short Protocol for project recovery after cardiac surgery: a single-center cohort study leveraging digital platform to characterise longitudinal patient-reported postoperative recovery patterns
title_sort protocol for project recovery after cardiac surgery: a single-center cohort study leveraging digital platform to characterise longitudinal patient-reported postoperative recovery patterns
topic Surgery
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7467526/
https://www.ncbi.nlm.nih.gov/pubmed/32873671
http://dx.doi.org/10.1136/bmjopen-2020-036959
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