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American Heart Association

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Final ID: MP40

Intersecting Inequities: Mapping Racial and Social Vulnerability Hotspots in U.S. Cardiogenic Shock Mortality

Abstract Body (Do not enter title and authors here): Background
Cardiogenic shock [CS] remains highly lethal. Whether county-level structural vulnerabilities, as captured by the CDC Social Vulnerability Index [SVI], modify racial mortality gaps is unknown.

Objective
To quantify area-specific CS mortality gradients across SVI quartiles and to map high-burden hotspots.

Methods
We extracted mortality data about CS from CDC WONDER [2016–2020] and merged it with 2020 CDC SVI data. Age-adjusted mortality rates [AAMRs, per 100,000] were calculated for American Indian/Alaska Native [AIAN], Asian/Pacific Islander [API], Black, Hispanic, and White populations stratified by SVI quartile [Q1 being least, Q4 being most vulnerable]. One-way ANOVA tested AAMR differences across quartiles [alpha equal to 0.05]. Counties in Q4 whose race-specific AAMR exceeded the 95th percentile were designated hotspots.

Results
We identified 22,051 CS deaths nationally. AAMRs increased stepwise from Q1 to Q4 for API [7.2 to 9], Black [12.1 to 14.3], Hispanic [7.5 to 11.2], and White [8.9 to 11.5] populations; gradients were significant for Hispanics [F= 4.54, P =0.004] and Whites [F=13.2, P < 0.001] but not for Blacks or APIs. AIAN individuals experience uniformly high AAMRs with no SVI gradient [F= 0.04, P= 0.97]. Hotspots clustered in rural high-SVI counties of the South and Southwest: Russell County, AL [AAMR 149.1 for Blacks; 121.9 for Whites], Carter County, OK [69.1 for AIAN], and Navajo/Apache Counties, AZ [59.44 Hispanics].

Conclusions
County-level social vulnerability intensifies CS mortality for most racial groups, with steep gradients among Hispanic and White populations, while AIAN communities face persistently high risk irrespective of SVI. Race-SVI hotspot mapping pinpoints rural Southern and Southwestern counties where equitable access to timely revascularization, advanced heart failure therapies, and community-based prevention should be prioritized.
  • Luthra, Gaurav  ( Central Michigan University , Saginaw , Michigan , United States )
  • Gariaqoza, Yousif  ( Central Michigan University , Saginaw , Michigan , United States )
  • Do, Pauline  ( Central Michigan University , Saginaw , Michigan , United States )
  • Mohammed, Zaki Ur Rahman  ( Sanford Health , Moorhead , Minnesota , United States )
  • Kambali, Shrinivas  ( MyMichigan Health , Saginaw , Michigan , United States )
  • Mohammed, Adil  ( Central Michigan University , Saginaw , Michigan , United States )
  • Christian, Cleris  ( Central Michigan University , Saginaw , Michigan , United States )
  • Singh, Sachin  ( Central Michigan University , Saginaw , Michigan , United States )
  • Khan, Afrasayab  ( Central Michigan University , Saginaw , Michigan , United States )
  • Ishfaq, Lyluma  ( Central Michigan University , Saginaw , Michigan , United States )
  • El-hajj, Jad  ( Central Michigan University , Saginaw , Michigan , United States )
  • Yasmeen, Umera  ( Mamata Medical College , Khammam , India )
  • Beeharry, Sarah  ( Central Michigan University , Saginaw , Michigan , United States )
  • Author Disclosures:
    Gaurav Luthra: DO NOT have relevant financial relationships | Yousif Gariaqoza: DO NOT have relevant financial relationships | Pauline Do: DO NOT have relevant financial relationships | Zaki Ur Rahman Mohammed: No Answer | Shrinivas Kambali: No Answer | Adil Mohammed: DO NOT have relevant financial relationships | Cleris Christian: DO NOT have relevant financial relationships | Sachin Singh: DO NOT have relevant financial relationships | Afrasayab Khan: DO NOT have relevant financial relationships | lyluma ishfaq: DO NOT have relevant financial relationships | Jad El-Hajj: DO NOT have relevant financial relationships | Umera Yasmeen: DO NOT have relevant financial relationships | Sarah Beeharry: No Answer
Meeting Info:

Scientific Sessions 2025

2025

New Orleans, Louisiana

Session Info:

Redefining Risk: Machine Learning, Molecular Targets, and Mortality in Cardiovascular Emergencies.

Saturday, 11/08/2025 , 09:15AM - 10:15AM

Moderated Digital Poster Session

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