Evidence mapPaperPMID 41229818Full record

ArticleJournal of thoracic disease2025

Nonlinear association between systemic immune-inflammation index and in-hospital mortality in critically ill patients with chronic obstructive pulmonary disease and atrial fibrillation: a cross-sectional study.

Wei Guo, Huaiqing Qi, Zhenghao Wu, Kexin Zhang, Jun Guo

Abstract read
In one paragraph

Article in Journal of thoracic disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Wei GuoDepartment of Rheumatology and Endocrinology, The Third People's Hospital of Ziyang City, Ziyang, China.ORCID https://orcid.org/0009-0000-0457-9070
Huaiqing QiDepartment of Respiratory and Critical Care Medicine, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua Medicine, Tsinghua University, Beijing, China.ORCID https://orcid.org/0009-0007-2504-0518
Zhenghao WuDepartment of Endocrinology and Metabolism, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou, China.ORCID https://orcid.org/0009-0006-7303-0173
Kexin ZhangDepartment of Cardiology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua Medicine, Tsinghua University, Beijing, China.ORCID https://orcid.org/0009-0004-1974-9051
Jun GuoDepartment of Respiratory and Critical Care Medicine, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua Medicine, Tsinghua University, Beijing, China.ORCID https://orcid.org/0000-0002-7374-2465

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chronic obstructive pulmonary disease (COPD) and atrial fibrillation (AF) frequently coexist, and their concurrence is associated with worse clinical outcomes than either condition alone. Inflammation plays a central role in the pathogenesis of both diseases. The systemic immune-inflammation index (SII), derived from neutrophil, platelet, and lymphocyte counts, has emerged as a promising marker reflecting systemic inflammation. However, its prognostic value in critically ill patients with concurrent COPD and AF remains unclear. This study aimed to investigate the association between SII and in-hospital mortality in intensive care unit (ICU) patients with both COPD and AF. Methods: We identified ICU patients from Medical Information Mart for Intensive Care meeting the following criteria: patients with first ICU admission, concurrent diagnoses of COPD and AF; exclusion criteria included patients aged <18 years, patients without COPD, patients without AF, length of admission to ICU less than <24 hours, lymphocyte, neutrophil, or platelet counts missing or zero. Baseline patient characteristics included vital signs, laboratory profiles, medications, and critical illness severity scores. Baseline patient characteristics included vital signs, laboratory profiles, medications, and critical illness severity scores. The highest peripheral blood cell count recorded during the first 24 hours of ICU admission was used to calculate SII, and log transformation was applied. The study endpoint was in-hospital mortality, defined as death from any cause occurring during the hospitalization period. Logistic regression analysis, restricted cubic spline (RCS) regression, two-piecewise logistic regression modeling with smoothing, and subgroup analyses were performed to assess the relationship between SII and in-hospital mortality using data. Results: The cohort (mean age 74.1±9.4 years, 60.1% male) had an in-hospital mortality rate of 20.4%. After adjustment for sex, age, vital signs, medications, comorbidities, each unit increase in log transferred SII conferred an odds ratio (OR) of 1.72 [95% confidence interval (CI): 1.00-2.94, P=0.048]. The high log transferred SII group (≥2.9) showed 2.78-fold higher mortality (OR =2.78, 95% CI: 1.37-5.62, P=0.005) compared to the low log transferred SII group. RCSs demonstrated a nonlinear association between log transferred SII and in-hospital mortality (P for non-linearity =0.019). Subgroup analyses confirmed the robustness of this association. Conclusions: Our findings position SII as a potentially valuable biomarker for risk stratification in patients with COPD and AF, with the identified threshold potentially serving as a clinical decision point for intensifying monitoring or considering immunomodulatory therapies. Future prospective studies should validate these findings and explore whether SII guided management improves outcomes in this high-risk population.

Indexed as

atrial fibrillation (AF)chronic obstructive pulmonary disease (COPD)Systemic immune-inflammation index (SII)

Identifiers

PMID41229818
PMCPMC12603444

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.