Evidence map›Paper›PMID 41274953›Full record

ArticleScientific reports2025

Braden score for early mortality risk assessment in critically ill intensive care patients with multiple organ dysfunction syndrome.

Weizhu Deng, Ximu Zhang, Xiaoli Liu, Qian Wang, Chao Liu, Sha Luo, Qihu Li, Yuwei Ji, Wang Lu, Quan Hong and 4 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

14 authors.

Weizhu Deng *Department of Nephrology, First Medical Center of Chinese, State Key Laboratory of Kidney Diseases, PLA General Hospital, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, 100853, China.
Ximu Zhang *Department of Critical Care Medicine, Hainan Hospital of Chinese PLA General Hospital, Sanya, 572000, Hainan, China.
Xiaoli LiuMedical Innovation Research Department, PLA General Hospital, Beijing, 100853, China.
Qian WangDepartment of Nephrology, First Medical Center of Chinese, State Key Laboratory of Kidney Diseases, PLA General Hospital, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, 100853, China.
Chao LiuDepartment of Critical Care Medicine, The First Medical Center of Chinese People's Liberation Army General Hospital, Beijing, 100853, China.
Sha LuoDepartment of Nephrology, First Medical Center of Chinese, State Key Laboratory of Kidney Diseases, PLA General Hospital, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, 100853, China.
Qihu LiDepartment of Nephrology, First Medical Center of Chinese, State Key Laboratory of Kidney Diseases, PLA General Hospital, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, 100853, China.
Yuwei JiDepartment of Nephrology, First Medical Center of Chinese, State Key Laboratory of Kidney Diseases, PLA General Hospital, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, 100853, China.
Wang LuDepartment of Nephrology, First Medical Center of Chinese, State Key Laboratory of Kidney Diseases, PLA General Hospital, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, 100853, China.
Quan HongDepartment of Nephrology, First Medical Center of Chinese, State Key Laboratory of Kidney Diseases, PLA General Hospital, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, 100853, China.
Zhe FengDepartment of Nephrology, First Medical Center of Chinese, State Key Laboratory of Kidney Diseases, PLA General Hospital, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, 100853, China.
Guangyan CaiDepartment of Nephrology, First Medical Center of Chinese, State Key Laboratory of Kidney Diseases, PLA General Hospital, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, 100853, China.
Wei YanDepartment of Hyperbaric Oxygen Therapy, The First Medical Center, The General Hospital of PLA, Beijing, 100853, China. yanwei301@126.com.
Zheyi DongDepartment of Nephrology, First Medical Center of Chinese, State Key Laboratory of Kidney Diseases, PLA General Hospital, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Diseases Research, Beijing, 100853, China. shengdai26@163.com.

Funding

China Postdoctoral Science Foundation 2022M723899
6 · The paper itself

Abstract

Multiple organ dysfunction syndrome (MODS) is a clinical syndrome characterized by the simultaneous or sequential dysfunction of two or more organs. This condition can result in prolonged hospital stays, high in-hospital mortality rates, and an increased financial burden. Therefore, the identification of risk factors for death is crucial because timely intervention can enhance patient prognosis and reduce mortality rates. This study aimed to investigate the relationship between the Braden Score and in-ICU mortality in patients with MODS. This retrospective study analyzed patients with MODS from the MIMIC-III and MIMIC-IV databases. A multiple-variable logistic model was used to investigate the relationship between initial admission Braden Score and all-cause ICU mortality. The study included 37,981 patients with MODS, with a median age of 68 years (60% male). The in-ICU mortality rate was 8.6%. Upon admission, the Braden score showed a negative association with the mortality which remained consistent even after multivariate adjustment (adjusted OR = 0.87, 95% CI 0.85-0.88, P < 0.0001). This study discovered a significant negative correlation between Braden Score and in-ICU mortality in patients with MODS.

Indexed as

Critical CareCritical IllnessMultiple Organ FailureAgedAged, 80 and overFemaleHospital MortalityHumansIntensive Care UnitsMaleMiddle AgedPrognosisRetrospective StudiesRisk AssessmentRisk FactorsBraden scoreICU nurseMachine learningMortalityMultiple organ failure

Identifiers

PMID41274953
PMCPMC12749339

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