Cargando…

The Electronic Frailty Index is Associated with Increased Infection and All-Cause Mortality Among Older Patients with Primary Lung Cancer: A Cohort Study

INTRODUCTION: To assess whether the electronic frailty index (eFI) is independently associated with all-cause mortality and chemotherapy adverse reactions among older Chinese patients with lung cancer. METHODS: This is a retrospective, single-institution, chart review, and not a prospective cohort s...

Descripción completa

Detalles Bibliográficos
Autores principales: Shen, Yanjiao, Wang, Yuting, Shi, Qingyang, Hou, Lisha, Chen, Xiaoyan, Dong, Birong, Hao, Qiukui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8523305/
https://www.ncbi.nlm.nih.gov/pubmed/34675497
http://dx.doi.org/10.2147/CIA.S335172
_version_ 1784585273578881024
author Shen, Yanjiao
Wang, Yuting
Shi, Qingyang
Hou, Lisha
Chen, Xiaoyan
Dong, Birong
Hao, Qiukui
author_facet Shen, Yanjiao
Wang, Yuting
Shi, Qingyang
Hou, Lisha
Chen, Xiaoyan
Dong, Birong
Hao, Qiukui
author_sort Shen, Yanjiao
collection PubMed
description INTRODUCTION: To assess whether the electronic frailty index (eFI) is independently associated with all-cause mortality and chemotherapy adverse reactions among older Chinese patients with lung cancer. METHODS: This is a retrospective, single-institution, chart review, and not a prospective cohort study. All patients ≥60 years with primary lung cancer in the West China Hospital from 2010 to 2017 were included in this cohort. The eFI was established using 35 frailty-related variables in the electronic medical record (EMR) system and was cut by a value of 0.2 to classify the patients into frail (eFI ≥0.2) and robust/non-frail groups (eFI<0.2). The long-term outcome was all-cause mortality identified by government databases and telephone interviews. Short-term outcomes were any infection, bone suppression, chemotherapy discontinuation, impaired liver function, any gastrointestinal reactions and length of hospitalization. An inverse probability weighting method was used to eliminate the potential confounders. An adjusted Kaplan–Meier estimator and a weighted Cox model were used to calculate the survival and hazard ratio. A weighted logistic model was used to calculate the odds of short-term outcomes. RESULTS: A total of 997 patients were included in this study with a median follow-up of 34 months. Compared with non-frail patients, frail patients had an increased risk of mortality and shortened overall survival (hazard ratio [HR] of mortality, 1.29; 95% confidence interval [CI], 1.05 to 1.60; adjusted restricted mean survival time [aRMST] difference, −5.68 months; 95% CI, −10.15 to −1.21 months). For short-term outcomes, frail patients had increased odds of infection compared to non-frail patients (odds ratio, 1.83; 95% CI, 1.09 to 3.06). No other outcome showed a significant result. CONCLUSION: This study of older Chinese patients with primary lung cancer suggests that eFI-based frail patients had worse prognoses with increased risk of all-cause mortality and shortened survival times.
format Online
Article
Text
id pubmed-8523305
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Dove
record_format MEDLINE/PubMed
spelling pubmed-85233052021-10-20 The Electronic Frailty Index is Associated with Increased Infection and All-Cause Mortality Among Older Patients with Primary Lung Cancer: A Cohort Study Shen, Yanjiao Wang, Yuting Shi, Qingyang Hou, Lisha Chen, Xiaoyan Dong, Birong Hao, Qiukui Clin Interv Aging Original Research INTRODUCTION: To assess whether the electronic frailty index (eFI) is independently associated with all-cause mortality and chemotherapy adverse reactions among older Chinese patients with lung cancer. METHODS: This is a retrospective, single-institution, chart review, and not a prospective cohort study. All patients ≥60 years with primary lung cancer in the West China Hospital from 2010 to 2017 were included in this cohort. The eFI was established using 35 frailty-related variables in the electronic medical record (EMR) system and was cut by a value of 0.2 to classify the patients into frail (eFI ≥0.2) and robust/non-frail groups (eFI<0.2). The long-term outcome was all-cause mortality identified by government databases and telephone interviews. Short-term outcomes were any infection, bone suppression, chemotherapy discontinuation, impaired liver function, any gastrointestinal reactions and length of hospitalization. An inverse probability weighting method was used to eliminate the potential confounders. An adjusted Kaplan–Meier estimator and a weighted Cox model were used to calculate the survival and hazard ratio. A weighted logistic model was used to calculate the odds of short-term outcomes. RESULTS: A total of 997 patients were included in this study with a median follow-up of 34 months. Compared with non-frail patients, frail patients had an increased risk of mortality and shortened overall survival (hazard ratio [HR] of mortality, 1.29; 95% confidence interval [CI], 1.05 to 1.60; adjusted restricted mean survival time [aRMST] difference, −5.68 months; 95% CI, −10.15 to −1.21 months). For short-term outcomes, frail patients had increased odds of infection compared to non-frail patients (odds ratio, 1.83; 95% CI, 1.09 to 3.06). No other outcome showed a significant result. CONCLUSION: This study of older Chinese patients with primary lung cancer suggests that eFI-based frail patients had worse prognoses with increased risk of all-cause mortality and shortened survival times. Dove 2021-10-11 /pmc/articles/PMC8523305/ /pubmed/34675497 http://dx.doi.org/10.2147/CIA.S335172 Text en © 2021 Shen et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Shen, Yanjiao
Wang, Yuting
Shi, Qingyang
Hou, Lisha
Chen, Xiaoyan
Dong, Birong
Hao, Qiukui
The Electronic Frailty Index is Associated with Increased Infection and All-Cause Mortality Among Older Patients with Primary Lung Cancer: A Cohort Study
title The Electronic Frailty Index is Associated with Increased Infection and All-Cause Mortality Among Older Patients with Primary Lung Cancer: A Cohort Study
title_full The Electronic Frailty Index is Associated with Increased Infection and All-Cause Mortality Among Older Patients with Primary Lung Cancer: A Cohort Study
title_fullStr The Electronic Frailty Index is Associated with Increased Infection and All-Cause Mortality Among Older Patients with Primary Lung Cancer: A Cohort Study
title_full_unstemmed The Electronic Frailty Index is Associated with Increased Infection and All-Cause Mortality Among Older Patients with Primary Lung Cancer: A Cohort Study
title_short The Electronic Frailty Index is Associated with Increased Infection and All-Cause Mortality Among Older Patients with Primary Lung Cancer: A Cohort Study
title_sort electronic frailty index is associated with increased infection and all-cause mortality among older patients with primary lung cancer: a cohort study
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8523305/
https://www.ncbi.nlm.nih.gov/pubmed/34675497
http://dx.doi.org/10.2147/CIA.S335172
work_keys_str_mv AT shenyanjiao theelectronicfrailtyindexisassociatedwithincreasedinfectionandallcausemortalityamongolderpatientswithprimarylungcanceracohortstudy
AT wangyuting theelectronicfrailtyindexisassociatedwithincreasedinfectionandallcausemortalityamongolderpatientswithprimarylungcanceracohortstudy
AT shiqingyang theelectronicfrailtyindexisassociatedwithincreasedinfectionandallcausemortalityamongolderpatientswithprimarylungcanceracohortstudy
AT houlisha theelectronicfrailtyindexisassociatedwithincreasedinfectionandallcausemortalityamongolderpatientswithprimarylungcanceracohortstudy
AT chenxiaoyan theelectronicfrailtyindexisassociatedwithincreasedinfectionandallcausemortalityamongolderpatientswithprimarylungcanceracohortstudy
AT dongbirong theelectronicfrailtyindexisassociatedwithincreasedinfectionandallcausemortalityamongolderpatientswithprimarylungcanceracohortstudy
AT haoqiukui theelectronicfrailtyindexisassociatedwithincreasedinfectionandallcausemortalityamongolderpatientswithprimarylungcanceracohortstudy
AT shenyanjiao electronicfrailtyindexisassociatedwithincreasedinfectionandallcausemortalityamongolderpatientswithprimarylungcanceracohortstudy
AT wangyuting electronicfrailtyindexisassociatedwithincreasedinfectionandallcausemortalityamongolderpatientswithprimarylungcanceracohortstudy
AT shiqingyang electronicfrailtyindexisassociatedwithincreasedinfectionandallcausemortalityamongolderpatientswithprimarylungcanceracohortstudy
AT houlisha electronicfrailtyindexisassociatedwithincreasedinfectionandallcausemortalityamongolderpatientswithprimarylungcanceracohortstudy
AT chenxiaoyan electronicfrailtyindexisassociatedwithincreasedinfectionandallcausemortalityamongolderpatientswithprimarylungcanceracohortstudy
AT dongbirong electronicfrailtyindexisassociatedwithincreasedinfectionandallcausemortalityamongolderpatientswithprimarylungcanceracohortstudy
AT haoqiukui electronicfrailtyindexisassociatedwithincreasedinfectionandallcausemortalityamongolderpatientswithprimarylungcanceracohortstudy