American journal of cardiovascular disease · 2024
Burden and predictors of mortality related to cardiogenic shock in the South Bronx Population.
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Javed Nismat, Itare Vikram, Allu Sai Vishnu Vardhan, Penikilapate Shalini, Pandey Neelanjana, Ali Nisha, Jadhav Preeti, Chilimuri Sridhar, Bella Jonathan N
Аннотация
OBJECTIVES: Cardiogenic 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.
METHODS: We 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 P-value of < 0.05 was considered significant.
RESULTS: 87 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.
CONCLUSIONS: Cardiogenic 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.
METHODS: We 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 P-value of < 0.05 was considered significant.
RESULTS: 87 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.
CONCLUSIONS: Cardiogenic 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.