Evidence map›Paper›PMID 37946194›Full record

ArticleBMC pulmonary medicine2023

Association between chronic obstructive pulmonary disease and 28-day mortality in patients with sepsis: a retrospective study based on the MIMIC-III database.

Yubiao Chen, Lifei Lu, Xicong Li, Baiyun Liu, Yu Zhang, Yongxin Zheng, Yuan Zeng, Ke Wang, Yaru Pan, Xiangning Liang and 4 more

Abstract read
In one paragraph

Article in BMC pulmonary medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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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

14 authors.

Yubiao Chen *Department of Critical Care Medicine, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China.
Lifei Lu *Guangzhou Institute of Respiratory Health, Guangzhou, 510120, China.
Xicong Li *Department of Cardiology, Kunming Medical University, the 920th Hospital, Kunming, 650032, Yunnan, China.
Baiyun Liu *Department of Critical Care Medicine, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China.
Yu ZhangDepartment of Critical Care Medicine, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China.
Yongxin ZhengDepartment of Critical Care Medicine, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China.
Yuan ZengDepartment of Critical Care Medicine, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China.
Ke WangDepartment of Critical Care Medicine, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China.
Yaru PanDepartment of Critical Care Medicine, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China.
Xiangning LiangDepartment of Critical Care Medicine, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China.
Zhongji WuGuangzhou Institute of Respiratory Health, Guangzhou, 510120, China.
Yutian FuHubei University of Medicine, Shiyan, Hubei, 442000, China.
Yongbo HuangDepartment of Critical Care Medicine, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China. yongbo2046@163.com.
Yimin LiDepartment of Critical Care Medicine, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China. dryiminli@vip.163.com.

Funding

Yimin Li 81970071Yongbo Huang 81870069
6 · The paper itself

Abstract

backgroundSepsis is a common cause of mortality in critically ill patients, and chronic obstructive pulmonary disease (COPD) is one of the most common comorbidities in septic patients. However, the impact of COPD on patients with sepsis remained unclear. Therefore, the purpose of this study aimed to assess the effect of COPD on the prognosis of septic patients based on Medical Information Mart for Intensive Care (MIMIC-III) database.

methodsIn this retrospective study based on the (MIMIC)-III database version 1.4 (v1.4), we collected clinical data and 28-day all-cause mortality from patients with sepsis in intensive care unit (ICU) and these patients met the diagnostic criteria of Sepsis 3 on ICU admission between 2008 and 2012. International Classification of Diseases (ICD-9) (4660, 490, 4910, 4911, 49120, 49121, 4918, 4919, 4920, 4928, 494, 4940, 4941, 496) was used to identified COPD. We applied Kaplan-Meier analysis to compare difference of 28-day all-cause mortality between septic patients with and without COPD. Cox proportional-hazards model was applied to explore the risk factor associated with 28-day all-cause mortality in patients with sepsis.

resultsSix thousand two hundred fifty seven patients with sepsis were included in this study, including 955 (15.3%) patients with COPD and 5302 patients without COPD (84.7%). Compared with patients without COPD, patients with COPD were older (median: 73.5 [64.4, 82.0] vs 65.8 [52.9, 79.1], P < 0.001), had higher simplified acute physiology score II (SAPSII) (median: 40.0 [33.0, 49.0] vs 38.0 [29.0,47.0], P < 0.001) and greater proportion of mechanical ventilatory support (MV) (55.0% vs 48.9%, P = 0.001). In our study, septic patients with COPD had higher 28-day all-cause mortality (23.6% vs 16.4%, P < 0.001) than patients without COPD. After adjusting for covariates, the results showed that COPD was an independent risk factor for the 28-day all-cause mortality of patients with sepsis (HR 1.30, 95%CI: 1.12-1.50, P = 0.001).

conclusionsCOPD was an independent risk factor of 28-day all-cause mortality in septic patients. Clinically, septic patients with COPD should be given additional care.

Indexed as

Pulmonary Disease, Chronic ObstructiveSepsisCritical CareHumansIntensive Care UnitsPrognosisRetrospective StudiesAll-cause mortalityChronic obstructive pulmonary diseaseMIMIC-IIISepsis

Identifiers

PMID37946194
PMCPMC10633936

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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.