Evidence map›Paper›PMID 31824196›Full record

ArticleClinical epidemiology2019

Developing a Registry of Healthcare-Associated Infections at Intensive Care Units in West China: Study Rationale and Patient Characteristics.

Wen Wang, Shichao Zhu, Qiao He, Rui Zhang, Yan Kang, Mingqi Wang, Kang Zou, Zhiyong Zong, Xin Sun

Erratum issuedAbstract read
In one paragraph

Article in Clinical epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Observational
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Wen Wang *Chinese Evidence-Based Medicine Center and CREAT Group, West China Hospital, Sichuan University, Chengdu 610041, People's Republic of China.
Shichao Zhu *Department of Infection Control, West China Hospital of Sichuan University, Chengdu, People's Republic of China.
Qiao HeChinese Evidence-Based Medicine Center and CREAT Group, West China Hospital, Sichuan University, Chengdu 610041, People's Republic of China.
Rui ZhangInformation Center, West China Hospital, Sichuan University, Chengdu, People's Republic of China.
Yan KangIntensive Care Unit, West China Hospital of Sichuan University, Chengdu, People's Republic of China.
Mingqi WangChinese Evidence-Based Medicine Center and CREAT Group, West China Hospital, Sichuan University, Chengdu 610041, People's Republic of China.
Kang ZouChinese Evidence-Based Medicine Center and CREAT Group, West China Hospital, Sichuan University, Chengdu 610041, People's Republic of China.
Zhiyong Zong *Department of Infection Control, West China Hospital of Sichuan University, Chengdu, People's Republic of China.
Xin Sun *Chinese Evidence-Based Medicine Center and CREAT Group, West China Hospital, Sichuan University, Chengdu 610041, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeLimited evidence is available to support the management of healthcare-associated infections (HAIs) in intensive care units (ICUs). Establishing a registry with complete and accurate information is urgently needed. The West China Hospital system has the most complete and largest data system for HAI in the ICU setting in China. By linking a multidimensional database, we developed a registry of HAI in ICU.

methodsThe ICU-HAI registry was established using a multi-source database that included electronic medical record (EMR), ICU system and ICU-HAI system in the West China Hospital healthcare system. Patients who were admitted to ICUs between 1 April 2015 and 30 March 2018 were included and data were extracted based on pre-designed, standardized data forms. We achieved the linkage of the three databases using a unique patient identification code, and cleaned the data based on standardized variable dictionaries and cleaning rules. We evaluated the quality of the registry through data verification and assessment of the quality of key variables.

resultsIn total, 23, 062 patients were included. The ICU mortality and hospital mortality were 5.4% and 5.5% respectively. A total of 855 patients developed ICU-HAIs, 1540 patients developed ventilator-associated events (VAE), and 171 patients developed possible ventilator-associated pneumonia (PVAP). Quality assessment showed that the accuracy of data extraction and linkage was 100%. Furthermore, 98% of all patients had at least one important laboratory tests performed, and the median number of tests performed was 4 to 5 per admission.

conclusionA unique registry for HAIs in the ICU setting was successfully established, which contains complete and accurate information for all patients in the ICU. The registry, linked from multiple data sources, provides unique research insights into the management of HAIs in the ICU setting in China.

Indexed as

healthcare-associated infectionintensive care unitsregistry

Identifiers

PMID31824196
PMCPMC6900279

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.