Evidence map›Paper›PMID 41818642›Full record

ArticlePLoS medicine2026

The association between power outages and cardiovascular and respiratory hospitalizations among US Medicare beneficiaries in 2018: A case-crossover study.

Heather McBrien, Daniel Mork, Vivian Do, Marianthi-Anna Kioumourtzoglou, Joan A Casey

Abstract read
In one paragraph

Article in PLoS medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Heather McBrienDepartment of Environmental Health Sciences, Columbia Mailman School of Public Health, New York, New York, United States of America.ORCID https://orcid.org/0000-0003-1587-6614
Daniel MorkDepartment of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of America.ORCID https://orcid.org/0000-0002-7924-0706
Vivian DoDepartment of Environmental Health Sciences, Columbia Mailman School of Public Health, New York, New York, United States of America.ORCID https://orcid.org/0000-0001-6127-4361
Marianthi-Anna KioumourtzoglouDepartment of Environmental Health Sciences, Columbia Mailman School of Public Health, New York, New York, United States of America.
Joan A CaseyUniversity of Washington Department of Environmental and Occupational Health Sciences, Seattle, Washington, United States of America.ORCID https://orcid.org/0000-0002-9809-4695

Funding

Network biology-based markers of extreme weather-induced neurodegenerationP20AG093975 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BERHANE, KIROS T, KIOUMOURTZOGLOU, MARIANTHI-ANNA · 2024 to 2025
$2.8M
Statistical methods to characterize causal mechanisms by which air pollution affects the recurrence of cardiovascular eventsR01ES034021 · NIEHS · UNIVERSITY OF ROCHESTER · PI Francesca Dominici, Ashkan Ertefaie · 2023 to 2026
$2.5M
NIA NIH HHS P20 AG093975NIEHS NIH HHS R01 ES034021
6 · The paper itself

Abstract

backgroundIn the United States, already-prevalent power outages are increasing in frequency and duration with climate change. Studies from New York State show that power outages may increase hospitalizations for cardiovascular disease (CVD) and respiratory disease in vulnerable populations such as older adults, but exposure data limitations have constrained nationwide studies of power outages and health. Here, we tested if power outages were associated with emergency CVD and respiratory disease-related hospitalizations among older adults in the United States. METHODS AND

findingsWe developed a national dataset of power outage exposure and identified county-days with ≥1% of customers exposed to 8+ hour power outages in 2018. We leveraged data on 23 million Medicare Fee-For-Service beneficiaries aged 65+ to estimate daily county-level rates of emergency CVD- and respiratory-related hospitalizations. We applied a case-crossover design with a conditional Poisson model to estimate the lagged association (up to 1 week) between daily county-level power outage exposure and cause-specific hospitalization rates. Models controlled for daily temperature, precipitation, and wind speed.

resultsPower outages were associated with increased emergency CVD and respiratory hospitalizations. The association between power outage and CVD hospitalizations was strongest the day after power outage exposure (rate ratio [RR]=1.02, 95% CI: 1.01, 1.03), while the association between outage and respiratory disease was strongest the day of power outage exposure (RR = 1.03, 95% CI: 1.01, 1.04). We estimated this association using county-level power outage data; future studies could use higher spatial resolution data.

conclusionsPower outages may increase the risk of CVD and respiratory hospitalizations among US older adults. Improving electricity reliability could support community health and protect older adults from CVD and respiratory disease exacerbations.

Indexed as

Cardiovascular DiseasesHospitalizationMedicareRespiratory Tract DiseasesAgedAged, 80 and overCross-Over StudiesFemaleHumansMaleUnited States

Identifiers

PMID41818642
PMCPMC12994585

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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.