Long-term respiratory stability of elderly patients recovering from acute respiratory failure and invasive mechanical ventilation: a retrospective cohort study

Long-term outcomes after discharge remain a challenge in critically ill elderly patients. We aimed to evaluate the long-term survival without repeat mechanical ventilation (MV) in elderly survivors of acute respiratory failure (ARF). We retrospectively included 1533 elderly patients aged 65 years or older who were admitted with ARF and invasive MV, successfully recovered, were liberated from MV, and were discharged between January 2010 and December 2019. Patients who were MV-dependent at discharge or died in the hospital were excluded. The primary outcome was survival without repeat MV. Secondary outcomes were factors associated with survival without repeat MV. Among enrolled patients, 524 patients were aged 65–74 years, 613 were aged 75–84 years, and 396 were aged 85 years or older. Kaplan–Meier analysis revealed that the overall 1-year survival rate without repeat MV was 73%. Pneumonia, MV ≥ 21 days, and older age were the 3 most important risk factors associated with worse outcomes. The subgroup analysis for the 3 most important risk factors revealed that patients without these risk factors had much better outcomes compared to those with all 3 risk factors (90% vs. 47% 1-year survival rate without repeat MV). Overall, elderly ARF survivors exhibited poor long-term respiratory outcomes, influenced by multiple factors. These findings highlight the need for careful clinical assessment and further research.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2026-03-04
DOI
https://doi.org/10.1038/s41598-026-42264-x
Primary Topic
Respiratory Support and Mechanisms
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Long-term respiratory stability of elderly patients recovering from acute respiratory failure and invasive mechanical ventilation: a retrospective cohort study

Chun-Hao Yin, Chiu-Fan Chen, Yao-Shen Chen, Jin-Shuen Chen et al.
Scientific Reports
Respiratory Support and Mechanisms
article

Long-term respiratory stability of elderly patients recovering from acute respiratory failure and invasive mechanical ventilation: a retrospective cohort study

Chun-Hao Yin, Chiu-Fan Chen, Yao-Shen Chen, Jin-Shuen Chen, Wen-Ren Lin
article en

Abstract

Long-term outcomes after discharge remain a challenge in critically ill elderly patients. We aimed to evaluate the long-term survival without repeat mechanical ventilation (MV) in elderly survivors of acute respiratory failure (ARF). We retrospectively included 1533 elderly patients aged 65 years or older who were admitted with ARF and invasive MV, successfully recovered, were liberated from MV, and were discharged between January 2010 and December 2019. Patients who were MV-dependent at discharge or died in the hospital were excluded. The primary outcome was survival without repeat MV. Secondary outcomes were factors associated with survival without repeat MV. Among enrolled patients, 524 patients were aged 65–74 years, 613 were aged 75–84 years, and 396 were aged 85 years or older. Kaplan–Meier analysis revealed that the overall 1-year survival rate without repeat MV was 73%. Pneumonia, MV ≥ 21 days, and older age were the 3 most important risk factors associated with worse outcomes. The subgroup analysis for the 3 most important risk factors revealed that patients without these risk factors had much better outcomes compared to those with all 3 risk factors (90% vs. 47% 1-year survival rate without repeat MV). Overall, elderly ARF survivors exhibited poor long-term respiratory outcomes, influenced by multiple factors. These findings highlight the need for careful clinical assessment and further research.

Scientific Reports
Min-Hwei College of Health Care Management (TW), Kaohsiung Veterans General Hospital (TW), Meiho University (TW)
Kaohsiung Veterans General Hospital
Openalex Percentile: Top 34%
Respiratory Support and Mechanisms
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.