Evidence map›Paper›PMID 39839567›Full record

ArticleAmerican journal of cardiovascular disease2024

Burden and predictors of mortality related to cardiogenic shock in the South Bronx Population.

Nismat Javed, Vikram Itare, Sai Vishnu Vardhan Allu, Shalini Penikilapate, Neelanjana Pandey, Nisha Ali, Preeti Jadhav, Sridhar Chilimuri, Jonathan N Bella

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Article in American journal of cardiovascular disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

9 authors.

Nismat JavedResident Physician, BronxCare Health System Bronx, NY, USA.
Vikram ItareCardiology Fellow, BronxCare Health System Bronx, NY, USA.
Sai Vishnu Vardhan AlluResident Physician, BronxCare Health System Bronx, NY, USA.
Shalini PenikilapateResident Physician, BronxCare Health System Bronx, NY, USA.
Neelanjana PandeyMedicine Attending, BronxCare Health System Bronx, NY, USA.
Nisha AliCardiology Fellow, BronxCare Health System Bronx, NY, USA.
Preeti JadhavMount Sinai Morningside-BronxCare Health System Bronx, NY, USA.
Sridhar ChilimuriBronxCare Health System Bronx, NY, USA.
Jonathan N BellaMount Sinai Morningside-BronxCare Health System Bronx, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesCardiogenic shock is a significant economic burden on healthcare facilities and patients. The prevalence and outcome of cardiogenic shock in the South Bronx are unknown. The aim of the study was to examine the burden of non-AMI CS in Hispanic and Black population in South Bronx and characterize their in-hospital outcomes.

methodsWe reviewed patient charts between 1/1/2022 and 1/1/2023 to identify patients with a primary diagnosis of cardiogenic shock (ICD codes R57.0, R57, R57.8, R57.9) residing in the following zip codes: 10451-59 and 10463. Student's T-test was used to assess differences for continuous variables; chi-square statistic was used for categorical variables. A logistic regression analysis model was used to assess independent predictors of mortality. A

results87 patients were admitted with cardiogenic shock (60% African American, 67% male, mean age =62±15 years) of which 54 patients (62%) died. Those who died were older, had > 1 pressor, out-of-hospital arrest, arrested within 24 hours of admission, and had higher SCAI class, lactate, and ALT levels than those who were discharged. The logistic regression analysis model showed that older age ((RR=3.4 [95% CI: 3.3-3.45]), > 1 pressor (RR=3.4 [95% CI: 2.6-4.2]) and higher SCAI class (2.1 [95% CI: 1.5-2.1], all P < 0.05)) were independent predictors of mortality in patients with cardiogenic shock. Additionally, most of the patients had either Medicare or Medicaid insurance in predominantly African American study population.

conclusionsCardiogenic shock carries a significant risk of death. Factors such as advanced age, the administration of more than one vasopressor, and a higher SCAI classification have been identified as independent predictors of mortality among inpatients with cardiogenic shock. Additionally, the progression and outcomes of the condition are influenced by variables like race (e.g., African American individuals in this study) and economic challenges, including the type of insurance coverage (e.g., Medicaid or Medicare). Further research is essential to explore strategies that could enhance survival rates in cardiogenic shock patients, with a particular focus on addressing economic and racial disparities.

Indexed as

Cardiogenic shockdiagnosismortalityoutcomestreatment

Identifiers

PMID39839567
PMCPMC11744217

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