Evidence map›Paper›PMID 38404653›Full record

ArticleInternational journal of chronic obstructive pulmonary disease2024

Relationship Between Systemic Immune-Inflammation Index and Risk of Respiratory Failure and Death in COPD: A Retrospective Cohort Study Based on the MIMIC-IV Database.

Ye Zhang, Xiaoli Tan, Shiyu Hu, Zhifang Cui, Wenyu Chen

Abstract read
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Article in International journal of chronic obstructive pulmonary disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

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25citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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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.

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3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Ye ZhangDepartment of General Medicine, Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang, People's Republic of China.ORCID 0000-0001-9740-1502
Xiaoli TanDepartment of Respiratory Medicine, Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang, People's Republic of China.
Shiyu HuJiaxing University Master Degree Cultivation Base, Zhejiang Chinese Medical University, Jiaxing, Zhejiang, People's Republic of China.
Zhifang CuiDepartment of Respiratory Medicine, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, People's Republic of China.
Wenyu ChenDepartment of Respiratory Medicine, Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Chronic obstructive pulmonary disease (COPD) concurrent with respiratory failure (RF) is devastating, and may result in death and disability. Systemic immune-inflammation index (SII) is a new prognostic biomarker linked to unfavorable outcomes of acute coronary syndrome, ischemic stroke, and heart failure. Nonetheless, its role in COPD is rarely investigated. Consequently, this study intends to assess the accuracy of SII in predicting the prognosis of COPD. Patients and Methods: The clinical information was retrospectively acquired from the Medical Information Mart for Intensive Care-IV database. The outcomes encompassed the incidence of RF and mortality. The relationship between different SII and outcomes was examined utilizing the Cox proportional-hazards model and restricted cubic splines. Kaplan-Meier analysis was employed for all-cause mortality. Results: The present study incorporated 1653 patients. During hospitalization, 697 patients (42.2%) developed RF, and 169 patients (10.2%) died. And 637 patients (38.5%) died during long-term follow-up. Higher SII increased the risk of RF (RF: HR: 1.19, 95% CI 1.12-1.28, P<0.001), in-hospital mortality (HR: 1.22, 95% CI 1.07-1.39, P=0.003), and long-term follow-up mortality (HR: 1.12, 95% CI 1.05-1.19, P<0.001). Kaplan-Meier analysis suggested a significantly elevated risk of all-cause death (log-rank P<0.001) in patients with higher SII, especially during the short-term follow-up period of 21 days. Conclusion: SII is closely linked to an elevated risk of RF and death in COPD patients. It appears to be a potential predictor of the prognosis of COPD patients, which is helpful for the risk stratification of this population. However, more prospective studies are warranted to consolidate our conclusion.

Indexed as

Pulmonary Disease, Chronic ObstructiveRespiratory InsufficiencyHumansInflammationPrognosisRetrospective Studieschronic obstructive pulmonary diseaseMIMIC-IV databasemortalityrespiratory failuresystemic immune-inflammation index

Identifiers

PMID38404653
PMCPMC10888109

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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.