Evidence map›Paper›PMID 41013325›Full record

ArticleBMC cardiovascular disorders2025

Early blood pressure response index and mortality risk in cardiogenic shock: evidence from two critical care cohorts.

Jian Zhang, Linfeng Xie, Jianjun Zhu

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Article in BMC cardiovascular disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1 citing paper in PubMed.

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5 · Who and what money

Authors and funding

3 authors.

Jian ZhangDepartment of Emergency and Intensive Care Medicine, The Second Affiliated Hospital of Soochow University, No.1055 Sanxiang Road, Suzhou, 215004, People's Republic of China.
Linfeng XieDepartment of Cardiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, People's Republic of China.
Jianjun ZhuDepartment of Emergency and Intensive Care Medicine, The Second Affiliated Hospital of Soochow University, No.1055 Sanxiang Road, Suzhou, 215004, People's Republic of China. zjj_66164560@suda.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiogenic shock (CS) remains the leading cause of mortality in intensive care units (ICUs), with vasoactive agents frequently employed for haemodynamic support. However, existing scoring systems often fail to capture the dynamic circulatory responses to such interventions. The blood pressure response index (BPRI), a novel haemodynamic marker, has shown potential in reflecting treatment responsiveness. This study aims to assess the prognostic utility of BPRI for early risk stratification in patients with CS.

methodsWe analysed adult CS patients admitted to intensive care units using data from the Medical Information Mart for Intensive Care IV (MIMIC-IV) and eICU Collaborative Research Database (eICU). The primary outcomes were ICU and in-hospital mortality. Early BPRI was defined as the ratio of the lowest mean arterial pressure to the vasoactive-inotropic score within the first 24 h of ICU admission. Multivariable Cox proportional hazards models were employed to evaluate the association between BPRI and mortality. Non-linear associations were assessed using restricted cubic spline analysis, and segmented Cox models were applied when appropriate. Discriminative performance of BPRI in combination with established scoring systems was evaluated and compared. Subgroup and sensitivity analyses were performed to validate the robustness of the findings.

resultsA total of 1,666 patients from the MIMIC-IV cohort (median age: 68.0 years; interquartile range [IQR]: 58.0–77.0; 61.2% male) and 164 patients from the eICU cohort (median age: 66.0 years; IQR: 54.0–74.0; 65.2% male) were included. In MIMIC-IV, the adjusted hazard ratios (HRs) for ICU and hospital mortality comparing the highest and lowest BPRI tertiles were 0.57 (95% CI: 0.45–0.72) and 0.55 (95% CI: 0.44–0.69), respectively. In the eICU cohort, the corresponding HRs were 0.33 (95% CI: 0.15–0.72) and 0.36 (95% CI: 0.19–0.70). Restricted cubic spline analysis revealed an L-shaped association between BPRI and mortality, with a threshold effect around a BPRI value of 3.0. Combining BPRI with traditional scoring systems improved discrimination for both ICU and hospital mortality. These findings remained robust across multiple subgroups defined by age, sex, comorbidities, and treatment interventions.

conclusionsThese findings indicate that early BPRI may represent a practical and informative prognostic marker in cardiogenic shock, offering timely insights into haemodynamic response and facilitating early risk stratification.

Indexed as

Arterial PressureBlood PressureCritical CareShock, CardiogenicAgedDatabases, FactualFemaleHospital MortalityHumansIntensive Care UnitsMaleMiddle AgedPredictive Value of TestsPrognosisProportional Hazards ModelsRetrospective StudiesBlood pressure response indexCardiogenic shockEICUMIMIC-IVMortality

Identifiers

PMID41013325
PMCPMC12465776

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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 Socratic graph.