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April 18, 2026Health Services Research0 citationsOpen Access

Income and Geographic Disparities in in‐Hospital Mortality Following Cardiovascular Procedures: Evidence From the National Inpatient Sample, 2016–2022

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ABAlon BergmanANAshwin Nathan

Key Points

  • The study aims to investigate how income and geography affect in-hospital mortality following major cardiovascular procedures.
  • Analyzed national data from 2016 to 2022 on eight major cardiovascular procedures.

Structured PICO

Do income and geographic disparities affect in-hospital mortality following major cardiovascular procedures?

P
Population
1,120,235 discharges (weighted N = 5,906,795) representing adults undergoing major cardiovascular procedures (percutaneous coronary intervention, coronary artery bypass grafting, carotid endarterectomy/stenting, surgical valve replacement, transcatheter valve procedures, non-carotid endarterectomy, aneurysm repair, or peripheral bypass) between 2016 and 2022.
I
Intervention
Lowest-income quartile (proxied by ZIP code-level median household income) and non-metropolitan/smaller metropolitan geographic location
C
Comparator
Highest-income quartile and large metropolitan geographic location
O
Outcome
In-hospital mortalityhard clinical

Socioeconomic and geographic disparities in in-hospital mortality following major cardiovascular procedures persist even after adjusting for clinical severity and hospital-level factors.

Abstract

ABSTRACT Objective To examine whether income‐ and geography‐related disparities in in‐hospital mortality after major cardiovascular procedures arise from differences in patient acuity, hospital characteristics, or inequities within hospitals. Study Setting and Design This observational study analyzed national data on eight major cardiovascular procedures performed between 2016 and 2022. We used multivariable logistic regression with progressive adjustment for demographics, clinical severity (All Patient Refined Diagnosis Related Groups APR‐DRG risk and severity scores), and hospital characteristics. Data Sources and Analytic Sample We analyzed secondary data from the National Inpatient Sample including 1,120,235 discharges (weighted N = 5,906,795) representing adults undergoing percutaneous coronary intervention, coronary artery bypass grafting, carotid endarterectomy/stenting, surgical valve replacement, transcatheter valve procedures, non‐carotid endarterectomy, aneurysm repair, or peripheral bypass. Patient income was proxied using ZIP code‐level median household income quartiles. Geographic location was classified as large metropolitan (≥ 1 million population), smaller metropolitan (50,000–999,999), or non‐metropolitan. Principal Findings Lowest‐income patients presented with mean APR‐DRG risk scores 0.15–0.25 points higher than highest‐income patients. After full adjustment with hospital fixed effects, in‐hospital mortality was 0.67% points higher (95% CI: 0.08–1.26) among lowest‐income patients. Geographic patterns were complex: after adjusting for hospital characteristics, non‐metropolitan location was associated with 0.48% points higher mortality, though this was not statistically significant (95% CI: −0.01 to 0.97), and smaller metropolitan areas with 1.03% points higher mortality (95% CI: 0.30–1.76). Between‐hospital differences explained 11.6% of mortality variance. Conclusions Socioeconomic and geographic disparities in mortality following major cardiovascular procedures persist after adjustment for clinical and hospital factors. These disparities remain, with slightly larger point estimates, in within‐hospital analyses, suggesting that hospital‐level differences alone do not account for observed inequities. Interventions should address both social determinants and intra‐hospital inequities. Multilevel interventions targeting both social determinants and within‐hospital processes may be needed.

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Cite This Study

Bergman et al. (2026) studied this question.

synapsesocial.com/papers/69e3203440886becb653f468https://doi.org/10.1111/1475-6773.70117
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