Evidence map›Paper›PMID 38110878›Full record

Observational studyBMC microbiology2023

The gut-lung axis in critical illness: microbiome composition as a predictor of mortality at day 28 in mechanically ventilated patients.

Piaopiao Zhou, Zhiqiang Zou, Wenwei Wu, Hui Zhang, Shuling Wang, Xiaoyan Tu, Weibin Huang, Cunrong Chen, Shuaijun Zhu, Qinyong Weng and 1 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 9% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

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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

11 authors at 2 institutions in 1 country.

Piaopiao ZhouDepartment of Critical Care Medicine, Fujian Medical University Union Hospital, Fuzhou, China.
Zhiqiang ZouDepartment of Critical Care Medicine, Fujian Medical University Union Hospital, Fuzhou, China.
Wenwei WuDepartment of Critical Care Medicine, Fujian Medical University Union Hospital, Fuzhou, China.
Hui ZhangDepartment of Critical Care Medicine, Fujian Medical University Union Hospital, Fuzhou, China.
Shuling WangDepartment of Critical Care Medicine, Fujian Medical University Union Hospital, Fuzhou, China.
Xiaoyan TuDepartment of Critical Care Medicine, Fujian Medical University Union Hospital, Fuzhou, China.
Weibin HuangDepartment of Critical Care Medicine, Fujian Medical University Union Hospital, Fuzhou, China.
Cunrong ChenDepartment of Critical Care Medicine, Fujian Medical University Union Hospital, Fuzhou, China.
Shuaijun ZhuDepartment of Critical Care Medicine, Fujian Medical University Union Hospital, Fuzhou, China.
Qinyong Weng *Department of Critical Care Medicine, Fujian Medical University Union Hospital, Fuzhou, China. wengqinyon@sina.com.
Shixiang Zheng *Department of Critical Care Medicine, Fujian Medical University Union Hospital, Fuzhou, China. jeromesuper@126.com.
Fujian Medical University · CNUnion Hospital · CN

Funding

Funding for Top Hospital and Specialty Excellence of Fujian Province 2022 (884)
6 · The paper itself

Abstract

backgroundMicrobial communities are of critical importance in the human host. The lung and gut microbial communities represent the most essential microbiota within the human body, collectively referred to as the gut-lung axis. However, the differentiation between these communities and their influence on clinical outcomes in critically ill patients remains uncertain.

methodsAn observational cohort study was obtained in the intensive care unit (ICU) of an affiliated university hospital. Sequential samples were procured from two distinct anatomical sites, namely the respiratory and intestinal tracts, at two precisely defined time intervals: within 48 h and on day 7 following intubation. Subsequently, these samples underwent a comprehensive analysis to characterize microbial communities using 16S ribosomal RNA (rRNA) gene sequencing and to quantify concentrations of fecal short-chain fatty acids (SCFAs). The primary predictors in this investigation included lung and gut microbial diversity, along with indicator species. The primary outcome of interest was the survival status at 28 days following mechanical ventilation.

resultsSixty-two mechanically ventilated critically ill patients were included in this study. Compared to the survivors, the diversity of microorganisms was significantly lower in the deceased, with a significant contribution from the gut-originated fraction of lung microorganisms. Lower concentrations of fecal SCFAs were detected in the deceased. Multivariate Cox regression analysis revealed that not only lung microbial diversity but also the abundance of Enterococcaceae from the gut were correlated with day 28 mortality.

conclusionCritically ill patients exhibited lung and gut microbial dysbiosis after mechanical ventilation, as evidenced by a significant decrease in lung microbial diversity and the proliferation of Enterococcaceae in the gut. Levels of fecal SCFAs in the deceased served as a marker of imbalance between commensal and pathogenic flora in the gut. These findings emphasize the clinical significance of microbial profiling in predicting the prognosis of ICU patients.

Indexed as

Gastrointestinal MicrobiomeMicrobiotaCritical IllnessFatty Acids, VolatileFecesHumansLungRespiration, ArtificialRNA, Ribosomal, 16SFatty Acids, VolatileRNA, Ribosomal, 16SGut-lung axisIntensive care unitIntestinal microbiotaLongitudinal studyLung microbiota

Identifiers

PMID38110878
PMCPMC10726596
OpenAlexW4389887736

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Registered trials

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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.