Evidence map›Paper›PMID 36581952›Full record

ArticleCritical care (London, England)2022

Effect of ICU quality control indicators on VAP incidence rate and mortality: a retrospective study of 1267 hospitals in China.

Xin Ding, Xudong Ma, Sifa Gao, Longxiang Su, Guangliang Shan, Yaoda Hu, Jieqing Chen, Dandan Ma, Feng Zhang, Wen Zhu and 7 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Critical care (London, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06834971 (Colistin Methanesulfonate Sodium Inhalation for Prophylaxis of Ventilator-Associated Pneumonia), which is not on this map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.9field-weighted citation impact, top 8% of its field
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.

NCT06834971 narecruitingnot on this mapstarted 2025, after this paper: background citation

Colistin Methanesulfonate Sodium Inhalation for Prophylaxis of Ventilator-Associated Pneumonia (CIVAP): A Prospective, Multicentre, Double-Blind, Randomized, Placebo-Controlled Trial

TypeinterventionalSponsorQilu Hospital of Shandong UniversityRan2025 to 2026Enrolled508ConditionsVentilator-Associated Pneumonia (VAP)ArmsColistimethate sodium (CMS)
3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 21 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Review
  6. EngineeredFrontiers in microbiology · 2025
    Article
  7. Article
  8. Article
  9. Only the new beginning of VAP quality control.Critical care (London, England) · 2023
    Article
  10. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 3 institutions in 1 country.

Xin Ding *Department of Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College and Chinese Academy of Medical Sciences, Peking Union Medical College Hospital, Beijing, 100730, China.
Xudong Ma *Department of Medical Administration, National Health Commission of the People's Republic of China, 100044, Beijing, China.
Sifa Gao *Department of Medical Administration, National Health Commission of the People's Republic of China, 100044, Beijing, China.
Longxiang SuDepartment of Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College and Chinese Academy of Medical Sciences, Peking Union Medical College Hospital, Beijing, 100730, China.
Guangliang ShanDepartment of Epidemiology and Biostatistics, Institute of Basic Medicine Sciences, Chinese Academy of Medical Sciences (CAMS) & School of Basic Medicine, Peking Union Medical College, 100730, Beijing, China.
Yaoda HuDepartment of Epidemiology and Biostatistics, Institute of Basic Medicine Sciences, Chinese Academy of Medical Sciences (CAMS) & School of Basic Medicine, Peking Union Medical College, 100730, Beijing, China.
Jieqing ChenInformation Center Department, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College and Chinese Academy of Medical Sciences, Peking Union Medical College Hospital, Beijing, 100730, China.
Dandan MaInformation Center Department, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College and Chinese Academy of Medical Sciences, Peking Union Medical College Hospital, Beijing, 100730, China.
Feng ZhangInformation Center Department, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College and Chinese Academy of Medical Sciences, Peking Union Medical College Hospital, Beijing, 100730, China.
Wen ZhuInformation Center Department, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College and Chinese Academy of Medical Sciences, Peking Union Medical College Hospital, Beijing, 100730, China.
Guoqiang SunInformation Center Department, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College and Chinese Academy of Medical Sciences, Peking Union Medical College Hospital, Beijing, 100730, China.
Xiaoyang MengInformation Center Department, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College and Chinese Academy of Medical Sciences, Peking Union Medical College Hospital, Beijing, 100730, China.
Lian MaInformation Center Department, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College and Chinese Academy of Medical Sciences, Peking Union Medical College Hospital, Beijing, 100730, China.
Xiang ZhouDepartment of Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College and Chinese Academy of Medical Sciences, Peking Union Medical College Hospital, Beijing, 100730, China. zx_pumc@163.com.
Dawei LiuDepartment of Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College and Chinese Academy of Medical Sciences, Peking Union Medical College Hospital, Beijing, 100730, China. dwliu98@163.com.
Bin DuDepartment of Medical ICU, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College and Chinese Academy of Medical Sciences, Peking Union Medical College Hospital, Beijing, 100730, China. dubin98@gmail.com.
China National Critical Care Quality Control Center Group
Chinese Academy of Medical Sciences & Peking Union Medical College · CNPeking Union Medical College Hospital · CNNational Health and Family Planning Commission · CN

Funding

Beijing Municipal Natural Science Foundation M21019CAMS Innovation Fund for Medical Sciences (CIFMS) 2021-I2M-1-062National High Level Hospital Clinical Research Funding 2022-PUMCH-B-115National Key R&D Program of China 2021YFC2500801The 2020 CMB Open Competition Program No. 20-381
6 · The paper itself

Abstract

purposeTo investigate the effects of ICU quality control indicators on the VAP incidence rate and mortality in China throughout 2019.

methodsThis was a retrospective study. A total of 1267 ICUs from 30 provinces in mainland China were included. Data were collected using the National Clinical Improvement System Data that report ICU information. Ten related quality control indicators were analyzed, including 5 structural factors (patient-to-bed ratio, physician-to-bed ratio, nurse-to-bed ratio, patient-to-physician ratio, and patient-to-nurse ratio), 3 process factors (unplanned endotracheal extubation rate, reintubation rate within 48 h, and microbiology detection rate before antibiotic use), and 2 outcome factors (VAP incidence rate and mortality). The information on the most common infectious pathogens and the most commonly used antibiotics in ICU was also collected. The Poisson regression model was used to identify the impact of factors on the incidence rate and mortality of VAP.

resultsThe incidence rate of VAP in these hospitals in 2019 was 5.03 (2.38, 10.25) per 1000 ventilator days, and the mortality of VAP was 11.11 (0.32, 26.00) %. The most common causative pathogen was Acinetobacter baumannii (in 39.98% of hospitals), followed by Klebsiella pneumoniae (38.26%), Pseudomonas aeruginosa, and Escherichia coli. In 26.90% of hospitals, third-generation cephalosporin was the most used antibiotic, followed by carbapenem (24.22%), penicillin and beta-lactamase inhibitor combination (20.09%), cephalosporin with beta-lactamase inhibitor (17.93%). All the structural factors were significantly associated with VAP incidence rate, but not with the mortality, although the trend was inconsistent. Process factors including unplanned endotracheal extubation rate, reintubation rate in 48 h, and microbiology detection rate before antibiotic use were associated with higher VAP mortality, while unplanned endotracheal extubation rate and reintubation rate in 48 h were associated with higher VAP mortality. Furthermore, K. pneumoniae as the most common pathogen was associated with higher VAP mortality, and carbapenems as the most used antibiotics were associated with lower VAP mortality.

conclusionThis study highlights the association between the ICU quality control (QC) factors and VAP incidence rate and mortality. The process factors rather than the structural factors need to be further improved for the QC of VAP in the ICU.

Indexed as

Pneumonia, Ventilator-AssociatedAnti-Bacterial Agentsbeta-Lactamase InhibitorsCarbapenemsCephalosporinsHospitalsHumansIncidenceIntensive Care UnitsKlebsiella pneumoniaeRetrospective StudiesAnti-Bacterial Agentsbeta-Lactamase InhibitorsCarbapenemsCephalosporinsIncidence rate and mortalityQuality controlVentilator-associated pneumonia (VAP)

Identifiers

PMID36581952
PMCPMC9798551
OpenAlexW4313238119

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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.