Evidence map›Paper›PMID 40894316›Full record

ArticleAmerican journal of preventive cardiology2025

County-level modeled extreme heat risk and premature all-cause mortality related to cardio-kidney-metabolic syndrome in the United States: A cross-sectional analysis.

Kerwin Cayton, Zhuo Chen, Tong Zhang, Barrak Alahmad, Yazan Alwadi, Sadeer Al-Kindi, Khurram Nasir, Sanjay Rajagopalan, Haitham Khraishah, Salil V Deo

Abstract read
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Article in American journal of preventive cardiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Kerwin CaytonCollege of Public Health, Kent State University, Kent, OH USA.
Zhuo ChenCase School of Medicine, Case Western Reserve University, Cleveland OH USA.
Tong ZhangCase School of Medicine, Case Western Reserve University, Cleveland OH USA.
Barrak AlahmadEnvironmental Health Department, Harvard T Chan School of Public Health, Boston MA USA.
Yazan AlwadiEnvironmental Health Department, Harvard T Chan School of Public Health, Boston MA USA.
Sadeer Al-KindiDepartment of Cardiovascular Medicine, Houston Methodist Hospital, Houston TX USA.
Khurram NasirDepartment of Cardiovascular Medicine, Houston Methodist Hospital, Houston TX USA.
Sanjay RajagopalanCase School of Medicine, Case Western Reserve University, Cleveland OH USA.
Haitham KhraishahHarrington Heart and Vascular Institute, University Hospitals Cleveland Medical Center, Cleveland OH USA.
Salil V DeoCase School of Medicine, Case Western Reserve University, Cleveland OH USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The aim of this study was to evaluate the association between extreme heat waves and age adjusted cardio-kidney-metabolic (CKM) all-cause mortality rate in the US. Methods: In this cross-sectional study, the county level age adjusted CKM premature (age < 65 years) all-cause mortality rate (CKM aaMR) was collected from the Center for Diseases Control (CDC) WONDER (Wide-ranging Online Data for Epidemiologic Research) (2010-2019). The primary exposure was the 2023 US Federal Emergency Management Agency heat wave risk index (HWRI), a marker of extreme heat event frequency. Counties were grouped by the quartile (Q) of their HWRI. Generalized linear models with a Poisson rate regression were fitted to evaluate the association between CKM aaMR and HWRI quartiles adjusting for county-level median age, percentage of ethnic minorities, prevalence of hypertension, diabetes, obesity, coronary artery disease, and stroke; results were reported as incident rate ratios (IRR) and 95 % confidence intervals. Results: Out of 3243, we included data from 2834 (90 %) counties. The median (25th - 75th percentile) CKM aaMR was 64 (47 -85) 15 deaths per 100 000 residents. The county-level median HWRI was 56.4 (32.0, 78.1). Nationwide, compared to counties in HWRI Q1, those in Q2 [IRR 1.03(0.99, 1.06); Conclusions and Relevance: In the US, counties at more risk to experience extreme heat events were noted to have higher rates of age adjusted cardio-kidney-metabolic syndrome all-cause mortality rates.

Indexed as

Cardio-kidney-metabolic syndromeClimate changeEnvironmental epidemiologyExtreme heat

Identifiers

PMID40894316
PMCPMC12391823

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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 OpenQuestion graph.