Cargando…

Hospitalization-Associated Disability After Cardiac Surgery in Elderly Patients ― Exploring the Risk Factors Using Machine Learning Algorithms ―

Background: Hospitalization-associated disability (HAD) is associated with prolonged functional decline and increased mortality after discharge. Therefore, we examined the incidence and risk factors associated with HAD in elderly patients undergoing cardiac surgery in Japan. Methods and Results: We...

Descripción completa

Detalles Bibliográficos
Autores principales: Hori, Kentaro, Usuba, Koyo, Sakuyama, Akihiro, Adachi, Yuichi, Hirakawa, Kotaro, Nakayama, Atsuko, Nagayama, Masatoshi, Shimokawa, Tomoki, Takanashi, Shuichiro, Isobe, Mitsuaki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Japanese Circulation Society 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8338437/
https://www.ncbi.nlm.nih.gov/pubmed/34414331
http://dx.doi.org/10.1253/circrep.CR-21-0057
_version_ 1783733462061023232
author Hori, Kentaro
Usuba, Koyo
Sakuyama, Akihiro
Adachi, Yuichi
Hirakawa, Kotaro
Nakayama, Atsuko
Nagayama, Masatoshi
Shimokawa, Tomoki
Takanashi, Shuichiro
Isobe, Mitsuaki
author_facet Hori, Kentaro
Usuba, Koyo
Sakuyama, Akihiro
Adachi, Yuichi
Hirakawa, Kotaro
Nakayama, Atsuko
Nagayama, Masatoshi
Shimokawa, Tomoki
Takanashi, Shuichiro
Isobe, Mitsuaki
author_sort Hori, Kentaro
collection PubMed
description Background: Hospitalization-associated disability (HAD) is associated with prolonged functional decline and increased mortality after discharge. Therefore, we examined the incidence and risk factors associated with HAD in elderly patients undergoing cardiac surgery in Japan. Methods and Results: We retrospectively examined 2,262 elderly patients who underwent elective cardiac surgery at Sakakibara Heart Institute. HAD was defined as a functional decline between time of admission and discharge measured by the Barthel Index. We analyzed clinical characteristics using machine learning algorithms to identify the risk factors associated with HAD. After excluding 203 patients, 2,059 patients remained, of whom 108 (5.2%) developed HAD after cardiac surgery. The risk factors identified were age, serum albumin concentration, estimated glomerular filtration rate, Revised Hasegawa’s Dementia Scale, N-terminal pro B-type natriuretic peptide, vital capacity, preoperative Short Physical Performance Battery (SPPB) score, operation times, cardiopulmonary bypass times, ventilator times, length of postoperative intensive care unit stay, and postoperative ambulation start day. The highest incidence of HAD was found in patients with an SPPB score ≤9 and in those who started ambulation >6 days after surgery (76.9%). Conclusions: Several risk factors for HAD are components of frailty, suggesting that preoperative rehabilitation to reduce the risk of HAD is feasible. Furthermore, the association between HAD and a delayed start of ambulation reaffirms the importance of early mobilization and rehabilitation.
format Online
Article
Text
id pubmed-8338437
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher The Japanese Circulation Society
record_format MEDLINE/PubMed
spelling pubmed-83384372021-08-18 Hospitalization-Associated Disability After Cardiac Surgery in Elderly Patients ― Exploring the Risk Factors Using Machine Learning Algorithms ― Hori, Kentaro Usuba, Koyo Sakuyama, Akihiro Adachi, Yuichi Hirakawa, Kotaro Nakayama, Atsuko Nagayama, Masatoshi Shimokawa, Tomoki Takanashi, Shuichiro Isobe, Mitsuaki Circ Rep Original article Background: Hospitalization-associated disability (HAD) is associated with prolonged functional decline and increased mortality after discharge. Therefore, we examined the incidence and risk factors associated with HAD in elderly patients undergoing cardiac surgery in Japan. Methods and Results: We retrospectively examined 2,262 elderly patients who underwent elective cardiac surgery at Sakakibara Heart Institute. HAD was defined as a functional decline between time of admission and discharge measured by the Barthel Index. We analyzed clinical characteristics using machine learning algorithms to identify the risk factors associated with HAD. After excluding 203 patients, 2,059 patients remained, of whom 108 (5.2%) developed HAD after cardiac surgery. The risk factors identified were age, serum albumin concentration, estimated glomerular filtration rate, Revised Hasegawa’s Dementia Scale, N-terminal pro B-type natriuretic peptide, vital capacity, preoperative Short Physical Performance Battery (SPPB) score, operation times, cardiopulmonary bypass times, ventilator times, length of postoperative intensive care unit stay, and postoperative ambulation start day. The highest incidence of HAD was found in patients with an SPPB score ≤9 and in those who started ambulation >6 days after surgery (76.9%). Conclusions: Several risk factors for HAD are components of frailty, suggesting that preoperative rehabilitation to reduce the risk of HAD is feasible. Furthermore, the association between HAD and a delayed start of ambulation reaffirms the importance of early mobilization and rehabilitation. The Japanese Circulation Society 2021-07-22 /pmc/articles/PMC8338437/ /pubmed/34414331 http://dx.doi.org/10.1253/circrep.CR-21-0057 Text en Copyright © 2021, THE JAPANESE CIRCULATION SOCIETY https://creativecommons.org/licenses/by-nc-nd/4.0/This article is licensed under a Creative Commons [Attribution-NonCommercial-NoDerivatives 4.0 International] license.
spellingShingle Original article
Hori, Kentaro
Usuba, Koyo
Sakuyama, Akihiro
Adachi, Yuichi
Hirakawa, Kotaro
Nakayama, Atsuko
Nagayama, Masatoshi
Shimokawa, Tomoki
Takanashi, Shuichiro
Isobe, Mitsuaki
Hospitalization-Associated Disability After Cardiac Surgery in Elderly Patients ― Exploring the Risk Factors Using Machine Learning Algorithms ―
title Hospitalization-Associated Disability After Cardiac Surgery in Elderly Patients ― Exploring the Risk Factors Using Machine Learning Algorithms ―
title_full Hospitalization-Associated Disability After Cardiac Surgery in Elderly Patients ― Exploring the Risk Factors Using Machine Learning Algorithms ―
title_fullStr Hospitalization-Associated Disability After Cardiac Surgery in Elderly Patients ― Exploring the Risk Factors Using Machine Learning Algorithms ―
title_full_unstemmed Hospitalization-Associated Disability After Cardiac Surgery in Elderly Patients ― Exploring the Risk Factors Using Machine Learning Algorithms ―
title_short Hospitalization-Associated Disability After Cardiac Surgery in Elderly Patients ― Exploring the Risk Factors Using Machine Learning Algorithms ―
title_sort hospitalization-associated disability after cardiac surgery in elderly patients ― exploring the risk factors using machine learning algorithms ―
topic Original article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8338437/
https://www.ncbi.nlm.nih.gov/pubmed/34414331
http://dx.doi.org/10.1253/circrep.CR-21-0057
work_keys_str_mv AT horikentaro hospitalizationassociateddisabilityaftercardiacsurgeryinelderlypatientsexploringtheriskfactorsusingmachinelearningalgorithms
AT usubakoyo hospitalizationassociateddisabilityaftercardiacsurgeryinelderlypatientsexploringtheriskfactorsusingmachinelearningalgorithms
AT sakuyamaakihiro hospitalizationassociateddisabilityaftercardiacsurgeryinelderlypatientsexploringtheriskfactorsusingmachinelearningalgorithms
AT adachiyuichi hospitalizationassociateddisabilityaftercardiacsurgeryinelderlypatientsexploringtheriskfactorsusingmachinelearningalgorithms
AT hirakawakotaro hospitalizationassociateddisabilityaftercardiacsurgeryinelderlypatientsexploringtheriskfactorsusingmachinelearningalgorithms
AT nakayamaatsuko hospitalizationassociateddisabilityaftercardiacsurgeryinelderlypatientsexploringtheriskfactorsusingmachinelearningalgorithms
AT nagayamamasatoshi hospitalizationassociateddisabilityaftercardiacsurgeryinelderlypatientsexploringtheriskfactorsusingmachinelearningalgorithms
AT shimokawatomoki hospitalizationassociateddisabilityaftercardiacsurgeryinelderlypatientsexploringtheriskfactorsusingmachinelearningalgorithms
AT takanashishuichiro hospitalizationassociateddisabilityaftercardiacsurgeryinelderlypatientsexploringtheriskfactorsusingmachinelearningalgorithms
AT isobemitsuaki hospitalizationassociateddisabilityaftercardiacsurgeryinelderlypatientsexploringtheriskfactorsusingmachinelearningalgorithms