Evidence map›Paper›PMID 40340091›Full record

ArticleJACC. Asia2025

Using a Cardiogenic Shock Classification System for Predicting Postcardiotomy Shock Mortality.

Yiwen Wang, Chenglong Li, Liangshan Wang, Xing Hao, Xiaomeng Wang, Tingting Wu, Dengbang Hou, Ming Jia, Feng Yang, Zhongtao Du and 2 more

Abstract read
In one paragraph

Article in JACC. Asia, 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

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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

12 authors.

Yiwen WangCenter for Cardiac Intensive Care, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Chenglong LiCenter for Cardiac Intensive Care, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Liangshan WangCenter for Cardiac Intensive Care, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Xing HaoCenter for Cardiac Intensive Care, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Xiaomeng WangCenter for Cardiac Intensive Care, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Tingting WuCenter for Cardiac Intensive Care, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Dengbang HouCenter for Cardiac Intensive Care, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Ming JiaCenter for Cardiac Intensive Care, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Feng YangCenter for Cardiac Intensive Care, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Zhongtao DuCenter for Cardiac Intensive Care, Beijing Anzhen Hospital, Capital Medical University, Beijing, China.
Hong WangCenter for Cardiac Intensive Care, Beijing Anzhen Hospital, Capital Medical University, Beijing, China. Electronic address: 914286855@qq.com.
Xiaotong HouCenter for Cardiac Intensive Care, Beijing Anzhen Hospital, Capital Medical University, Beijing, China. Electronic address: xt.hou@ccmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiogenic shock (CS) is a life-threatening hemodynamic state. Patients with differing shock severity show varying responsiveness to clinical interventions. CS also occurs in patients who have undergone cardiac surgery. A few evaluation systems have been developed for postcardiotomy patients. The Society for Cardiovascular Angiography and Intervention (SCAI) has developed a new classification scheme for CS.

objectivesThis study aimed to assess the parameters that define the stages of CS and the diagnostic utility of an SCAI-based CS classification system for patients undergoing cardiac surgery to inform the prediction of outcomes.

methodsThis single-center, retrospective, observational study included 8,335 consecutive adult patients undergoing cardiac surgery from January to December 2022. This cohort was divided into 5 groups based on lactate and types of intervention received, including vasopressors and mechanical circulatory support systems. The primary outcome was in-hospital mortality.

resultsCS occurred in 970 (11.1%) patients of this cohort. The frequencies of distribution of various postcardiotomy shock stages differed significantly: stage A = 4,747 (57.0%), stage B = 2,658 (31.9%), stage C = 779 (9.3%), stage D = 64 (0.8%), and stage E = 87 (1.0%) (P < 0.001) patients. In-hospital mortality was 1.1% (94 of 8,335). A progressive increase in the stage of the disease led to a clear stepwise increase in in-hospital mortality: Stage A = 0.4% (19 of 4747), Stage B = 0.8% (21 of 2658), Stage C = 2.8% (22 of 779), Stage D = 7.8% (5 of 64), and Stage E = 31.0% (27 of 87) (P < 0.001). The area under the receiver-operating curve of this classification for postcardiotomy CS was 0.781 (95% CI: 0.746-0.815).

conclusionsIn this single-center postcardiotomy population, CS occurred in 11.1% of patients. Postcardiotomy SCAI-derived criteria for CS severity suggested a good correlation with in-hospital mortality.

Indexed as

cardiac surgerycardiogenic shockcoronary artery bypass graftingmortalityoutcomepostcardiotomy

Identifiers

PMID40340091
PMCPMC12081225

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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.