Evidence map›Paper›PMID 40567587›Full record

ArticleJournal of inflammation research2025

Association of Systemic Inflammatory Response Index with Disease Severity and Adverse Outcome in Chronic Thromboembolic Pulmonary Hypertension.

Sicong Li, Luyang Gao, Sicheng Zhang, Qing Zhao, Tao Yang, Anqi Duan, Yijia Wang, Qi Wang, Zhihui Zhao, Qin Luo and 1 more

Abstract read
In one paragraph

Article in Journal of inflammation research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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.

Sicong Li *Center for Respiratory and Pulmonary Vascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, People's Republic of China.
Luyang Gao *Center for Respiratory and Pulmonary Vascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, People's Republic of China.
Sicheng Zhang *Center for Respiratory and Pulmonary Vascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, People's Republic of China.
Qing ZhaoCenter for Respiratory and Pulmonary Vascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, People's Republic of China.
Tao YangCenter for Respiratory and Pulmonary Vascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, People's Republic of China.
Anqi DuanCenter for Respiratory and Pulmonary Vascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, People's Republic of China.
Yijia WangCenter for Respiratory and Pulmonary Vascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, People's Republic of China.
Qi WangCenter for Respiratory and Pulmonary Vascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, People's Republic of China.
Zhihui ZhaoCenter for Respiratory and Pulmonary Vascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, People's Republic of China.
Qin LuoCenter for Respiratory and Pulmonary Vascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, People's Republic of China.
Zhihong LiuCenter for Respiratory and Pulmonary Vascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, People's Republic of China.ORCID 0000-0001-8639-6306

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Composite inflammatory markers, such as the systemic inflammatory response index (SIRI), are associated with the severity and progression of several cardiovascular diseases. However, the relationship between SIRI and chronic thromboembolic pulmonary hypertension (CTEPH) remains unclear. We hypothesized that elevated SIRI levels would correlate with disease severity and independently predict adverse clinical outcomes in patients with CTEPH. This study aimed to clarify the predictive value of SIRI in patients with CTEPH. Methods: This retrospective cohort study included 383 patients with CTEPH treated at Fuwai Hospital between June 2013 and June 2021. Receiver operating characteristic (ROC) curve analysis was used to compare the diagnostic performance of SIRI to other inflammatory indices and identify the optimal cutoff value. Kaplan-Meier analysis and Cox proportional hazard models were used to examine the relationship between SIRI and clinical worsening. Results: During a mean follow-up period of 30.6 months, 79 participants experienced clinical worsening. The SIRI was significantly correlated with established markers of CTEPH severity, including the 6-minute walk distance, N-terminal pro-brain natriuretic peptide, and hemodynamic parameters. Kaplan-Meier curve revealed that individuals with a SIRI ≥ 0.80 exhibited significantly poorer survival rates and a shorter time to clinical worsening compared to those with a SIRI < 0.80 (P < 0.01). Adjusted Cox proportional hazards analysis revealed that SIRI remained an independent predictor of clinical worsening (hazard ratio (HR) 2.033; 95% confidence interval (CI) 1.227-3.370). ROC analysis revealed that SIRI exhibited the highest area under the curve value of 0.730 (95% CI 0.659-0.810). Incorporating SIRI into The COMPERA 2.0, the risk score improved its predictive value for adverse outcomes in patients with CTEPH. Conclusion: SIRI is a valuable prognostic marker for CTEPH, correlating with established markers of disease severity and independently predicting clinical worsening. SIRI provides additional prognostic predictive value when used in conjunction with the risk score of COMPERA 2.0.

Indexed as

chronic thromboembolic pulmonary hypertensioninflammationprognosisrisk factors

Identifiers

PMID40567587
PMCPMC12191145

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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.