Evidence map›Paper›PMID 40813524›Full record

ArticleAnnals of intensive care2025

Population-wise incidence and outcomes of patients requiring invasive and non-invasive mechanical ventilation in China: a nationwide retrospective analysis by age, sex, and comorbidity.

Maomao Cao, Rong Liufu, Boyang Wang, Wei Pan, Hongda Chen, Longxiang Su, Yun Long, Xiang Zhou, Li Weng, Bin Du and 2 more

Abstract read
In one paragraph

Article in Annals of intensive care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Maomao CaoMedical Intensive Care Unit, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, 100730, China.
Rong LiufuMedical Intensive Care Unit, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, 100730, China.
Boyang WangMedical Intensive Care Unit, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, 100730, China.
Wei PanDepartment of Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, 100730, China.
Hongda ChenCenter for Prevention and Early Intervention, National Infrastructures for Translational Medicine, Institute of Clinical Medicine, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, 100730, China.
Longxiang SuDepartment of Critical Care Medicine, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, 100730, China.
Yun LongDepartment of Critical Care Medicine, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, 100730, China.
Xiang ZhouDepartment of Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, 100730, China. zx_pumc@163.com.
Li WengMedical Intensive Care Unit, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, 100730, China. wengli@gmail.com.ORCID http://orcid.org/0000-0003-0403-0752
Bin DuMedical Intensive Care Unit, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, 100730, China. dubin98@gmail.com.
Critical Care Clinical Trials Group
China National Critical Care Quality Control Center Group

Funding

Innovation Fund for Medical Sciences (CIFMS) from Chinese Academy of Medical Sciences 2021-I2M-1-062National High Level Hospital Clinical Research Funding 2022-PUMCH-B-126National High Level Hospital Clinical Research Funding 2022-PUMCH-D-005Noncommunicable Chronic Diseases-National Science and Technology Major Project 2023ZD0506505Postdoctoral Fellowship Program of CPSF GZC20250498
6 · The paper itself

Abstract

backgroundMechanical ventilation is a critical yet labor-intensive medical resource with limited availability. However, population-based data on its utilization and outcomes remain scarce in China. This study aimed to describe the characteristics, frequency, and outcomes of mechanical ventilation at the national level in China.

methodsIn this multicenter cross-sectional study, we retrospectively identified hospitalized patients who received mechanical ventilation using data from the National Data Center for Medical Service. The dataset included information on patient characteristics, length of hospital stays, procedures, diagnoses, and discharge outcomes. The population selected for this study included all mechanically ventilated patients admitted between January 1, 2022 and December 31, 2022. We analyzed the distribution characteristics of patients requiring mechanical ventilation by type of ventilation. Case fatality rates were calculated and further stratified by age, sex, and comorbidity burden.

resultsThe study included 1,641,809 admissions from 2,837 hospitals, with all patients receiving mechanical ventilation. The median age of the patients was 66.0 years (interquartile range: 51.0-76.0). Among them, 64.4% received invasive mechanical ventilation (IMV) only, while 29.0% received non-invasive ventilation (NIV) only. The incidence of mechanical ventilation was 186.5 per 100,000 population. Patients receiving IMV only had longer hospital stays and a higher comorbidity burden, compared with those receiving NIV. 41.4% of invasively ventilated patients had a diagnosis of cerebrovascular disease. In contrast, chronic pulmonary disease was the most common comorbidity (57.0%) in NIV patients. The NIV failure rate observed in our study was 7.9%. Overall, 12.8% of mechanically ventilated patients died during hospitalization, with a marked difference in case fatality rate between IMV patients (16.2%) and those receiving NIV only (5.5%). Increasing age and a higher Charlson index were both associated with a stepwise increase in mortality risk.

conclusionsSignificant variations in epidemiological characteristics by age, sex, and comorbidity were observed across different modalities of mechanical ventilation. Mortality rates were markedly higher among patients receiving IMV compared to those receiving NIV, with the differences most pronounced among elderly patients, males, and those with greater comorbidity burden.

Indexed as

ChinaEpidemiological studyHospitalizationMechanical ventilation

Identifiers

PMID40813524
PMCPMC12354394

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.