Evidence map›Paper›PMID 31930018›Full record

ArticleAnnals of translational medicine2019

Active surveillance of ventilator-associated pneumonia in the intensive care unit and establishment of the risk grading system and effect evaluation.

Weiping Liu, Yueying Jiao, Huimin Xing, Yunting Hai, Haoxue Li, Kai Zhang, Yuping Zhao, Yongfang Yang, Binbin Xu, Haibo Bai and 3 more

RetractedOpen access · diamondAbstract readRetracted Publication
In one paragraph

Article in Annals of translational medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 23% 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.

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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Predicting ventilator-associated pneumonia.Annals of translational medicine · 2020
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 1 institution in 1 country.

Weiping LiuDepartment of Nosocomial Infection Control, Inner Mongolia People's Hospital, Hohhot 010017, China.
Yueying JiaoDepartment of Nosocomial Infection Control, Inner Mongolia People's Hospital, Hohhot 010017, China.
Huimin XingDepartment of Nosocomial Infection Control, Inner Mongolia People's Hospital, Hohhot 010017, China.
Yunting HaiDepartment of Nosocomial Infection Control, Inner Mongolia People's Hospital, Hohhot 010017, China.
Haoxue LiDepartment of Nosocomial Infection Control, Inner Mongolia People's Hospital, Hohhot 010017, China.
Kai ZhangDepartment of Nosocomial Infection Control, Inner Mongolia People's Hospital, Hohhot 010017, China.
Yuping ZhaoDepartment of Nosocomial Infection Control, Inner Mongolia People's Hospital, Hohhot 010017, China.
Yongfang YangDepartment of Nosocomial Infection Control, Inner Mongolia People's Hospital, Hohhot 010017, China.
Binbin XuDepartment of Nosocomial Infection Control, Inner Mongolia People's Hospital, Hohhot 010017, China.
Haibo BaiDepartment of Nosocomial Infection Control, Inner Mongolia People's Hospital, Hohhot 010017, China.
Huan BaoDepartment of Nosocomial Infection Control, Inner Mongolia People's Hospital, Hohhot 010017, China.
Shuai ZhangDepartment of Nosocomial Infection Control, Inner Mongolia People's Hospital, Hohhot 010017, China.
Tianhui GuoDepartment of Nosocomial Infection Control, Inner Mongolia People's Hospital, Hohhot 010017, China.
Inner Mongolia People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo discuss ventilator-associated pneumonia (VAP) patient's clinical characteristic and related factors in the intensive care unit (ICU), and to establish a risk grading system for VAP patients in the ICU in order to provide a reference for VAP prevention.

methodsA total of 1,513 patients in eight ICUs who received mechanical ventilation between June 2015 and June 2018 were randomized and into two groups, with 908 patients in the model group and 605 patients in the verification group. The model group was used to analyze the influencing factors of VAP and establish a risk grading system, while the verification group was used to verify the risk grading system. A receiver operating characteristic (ROC) curve was used to evaluate the predictive effect of the grading system.

resultsDuring the 3-year study period, of the 1,513 total patients, 188 patients were infected with VAP, leading to an incidence rate of 12.43% (188/1,513) and an infection rate of 15.23‰ (188/12,347). ICU length of stay, mechanical ventilation days, frequency of oral care, unused subglottic secretion drainage, tracheotomy, APACHE II score, and combined antibiotics use were risk factors of VAP infection for patients who received mechanical ventilation in the modeling group (P<0.05). In a VAP risk-grading system established based on risk factors, the high, medium and low-grade patients had a statistically significantly different VAP infection rate in the model group, and patients with a high grade had a higher risk of VAP infection. Patients' data in the model and verification groups were used to draw a ROC curve which showed a good predictive effect.

conclusionsThis study establishes and verifies the VAP risk grading system for patients who receive mechanical ventilation. It is helpful in high-risk patient surveillance and in reducing and preventing VAP infection.

Indexed as

Intensive care unit (ICU)risk factorrisk gradingventilator-associated pneumonia (VAP)

Identifiers

PMID31930018
PMCPMC6944584
OpenAlexW2985862636

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.