Evidence map›Paper›PMID 42631219›Full record

Observational studyInternational journal of chronic obstructive pulmonary disease2026

Irisin, BMI, and SII as Predictors of Frequent Acute Exacerbations in COPD: Development of a Predictive Nomogram.

Zina Bai, Tongxinwei Sun, Wenhui Song, Zhiwei Zhang, Jing Li, Siyu Wu, Zheng Wang, Aihong Meng

Abstract readObservational Study
In one paragraph

Observational study in International journal of chronic obstructive pulmonary disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Zina BaiThe Third Department of Pulmonary and Critical Care Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.ORCID 0000-0002-2983-2420
Tongxinwei SunThe Third Department of Pulmonary and Critical Care Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.ORCID 0009-0000-2279-097X
Wenhui SongThe Third Department of Pulmonary and Critical Care Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.ORCID 0009-0002-0030-8905
Zhiwei ZhangThe Third Department of Pulmonary and Critical Care Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.ORCID 0009-0003-5740-8541
Jing LiThe Third Department of Pulmonary and Critical Care Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.ORCID 0009-0003-8164-6347
Siyu WuThe Third Department of Pulmonary and Critical Care Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.ORCID 0009-0006-7195-3644
Zheng WangThe Third Department of Pulmonary and Critical Care Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.
Aihong MengThe Third Department of Pulmonary and Critical Care Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, People's Republic of China.ORCID 0009-0005-5071-1876

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Frequent acute exacerbations of chronic obstructive pulmonary disease (COPD) are associated with poor prognosis, but objective and easily applicable predictors remain limited. This study aimed to investigate the association of Irisin, body mass index (BMI), and systemic immune-inflammation index (SII) with frequent acute exacerbations in COPD and to develop a predictive nomogram. Methods: This single-center retrospective-prospective observational study included 96 patients hospitalized with acute exacerbation of COPD (AECOPD) between March 2023 and March 2025. Frequent exacerbation was defined as ≥2 acute exacerbations or ≥1 hospitalization for AECOPD within one year. Patients were classified into the frequent exacerbation group (n=34) and non-frequent exacerbation group (n=62). Clinical data and serum Irisin levels were collected. Group comparisons, correlation analysis, univariate and multivariable logistic regression analyses were performed, and a nomogram was developed. Model performance was evaluated using receiver operating characteristic (ROC) analysis, calibration curve, bootstrap internal validation, and decision curve analysis. Results: Compared with the non-frequent exacerbation group, the frequent exacerbation group had lower Irisin and BMI levels and higher white blood cell count, neutrophil count, and SII. Multivariable logistic regression showed that Irisin (OR=0.981, 95% CI: 0.974-0.989) and BMI (OR=0.980, 95% CI: 0.963-0.998) were independently associated with a lower risk of frequent exacerbations, whereas lnSII (OR=1.117, 95% CI: 1.012-1.234) was associated with a higher risk. The combined model yielded an area under the ROC curve of 0.856 (95% CI: 0.780-0.933), showing better discrimination than Irisin alone. Calibration and decision curve analyses suggested favorable internal performance. Conclusion: Irisin, BMI, and SII were associated with frequent acute exacerbations in COPD. The combined nomogram may provide a preliminary reference for risk stratification, but external validation is required before clinical application.

Indexed as

Body Mass IndexFibronectinsNomogramsPulmonary Disease, Chronic ObstructiveAgedBiomarkersDecision Support TechniquesDisease ProgressionFemaleHumansMaleMiddle AgedPredictive Value of TestsPrognosisProspective StudiesRetrospective StudiesBiomarkersFibronectinsFNDC5 protein, humanBMIchronic obstructive pulmonary diseasefrequent acute exacerbationsirisinprediction modelSII

Identifiers

PMID42631219
PMCPMC13496126

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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.