Predictive value of the reverse shock index multiplied by glasgow coma scale score for mortality in ICU heatstroke patients: a multicenter study.

Lvyuan Shi, Qinyu Liu, Ruoran Wang, Xuepeng Zhang, Siyuan Chen, Lili Cao, Min He, Zhongwei Zhang

Abstract readMulticenter StudyObservational Study

In one paragraph

Observational study in Scientific reports, 2026. 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.

Lower admission reverse shock index multiplied by Glasgow coma scale score is associated with early hematoma expansion in spontaneous intracerebral hemorrhage.Frontiers in neurology · 2026
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

8 authors.

Lvyuan Shi *Department of Critical Care Medicine, West China Hospital, Sichuan University, No.37, Guoxue Alley, Chengdu, 610041, Sichuan Province, People's Republic Of China.

Qinyu Liu *Department of Hematology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, People's Republic Of China.

Ruoran WangDepartment of Neurosurgery, The First Medical Centre, Chinese PLA General Hospital, Beijing, People's Republic Of China.

Xuepeng ZhangDepartment of Critical Care Medicine, West China Hospital, Sichuan University, No.37, Guoxue Alley, Chengdu, 610041, Sichuan Province, People's Republic Of China.

Siyuan ChenDepartment of Critical Care Medicine, West China Hospital, Sichuan University, No.37, Guoxue Alley, Chengdu, 610041, Sichuan Province, People's Republic Of China.

Lili CaoInstitute of Basic Medical College, Chengdu University, Chengdu, 610041, Sichuan Province, People's Republic Of China. 993077411@qq.com.

Min HeDepartment of Critical Care Medicine, West China Hospital, Sichuan University, No.37, Guoxue Alley, Chengdu, 610041, Sichuan Province, People's Republic Of China. hemin19910306@wchscu.cn.

Zhongwei ZhangDepartment of Critical Care Medicine, West China Hospital, Sichuan University, No.37, Guoxue Alley, Chengdu, 610041, Sichuan Province, People's Republic Of China. zhangzhongwei@scu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heatstroke has high mortality, requiring early risk stratification. This study aimed to compare the predictive value of the reverse shock index multiplied by Glasgow Coma Scale score (rSIG) with shock index (SI), GCS, and qSOFA score for mortality in ICU heatstroke patients. The reverse shock index multiplied by Glasgow Coma Scale score (rSIG), calculated as GCS × (SBP / HR) using the first recorded values at ICU admission. This multicenter retrospective study included 671 heatstroke patients from 83 ICUs. Predictive performance was compared using receiver operating characteristic (ROC) curves. Independent risk factors were identified via logistic regression, and a nomogram was developed. Subgroup analysis was conducted to assess the consistency of the predictive value of rSIG. The mortality rate was 17.88%. rSIG demonstrated the highest predictive ability (AUC = 0.739), outperforming SI, GCS, and qSOFA. Prothrombin time, creatinine, lactate, and rSIG were independent predictors. The nomogram integrating these factors achieved an AUC of 0.80. Subgroup analysis confirmed the consistent predictive value of rSIG across various patient subgroups. The rSIG is a simple and effective early screening tool for rapid risk stratification in ICU patients with heatstroke. The predictive model combining rSIG with PT, Cr, and Lac further enhances prognostic accuracy, offering significant clinical utility.

Indexed as

Glasgow Coma ScaleHeat StrokeIntensive Care UnitsShockAgedFemaleHumansMaleMiddle AgedNomogramsPredictive Value of TestsPrognosisRetrospective StudiesRisk FactorsROC CurveGlasgow coma scaleHeatstrokeIntensive care unitPrediction modelPrognosisReverse shock index

Identifiers

PMID41927704

DOI10.1038/s41598-026-46072-1

PMCPMC13187285

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LicenceCC BY-NC-ND

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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.