Evidence map›Paper›PMID 40493873›Full record

ArticleNeurology2025

Acute Ischemic Stroke Risk Following Cardiac Interventions in the United States From 2016 to 2021.

Andrew B Koo, Lily Zhou, Irbaz Hameed, Cyprien A Rivier, Santiago Clocchiatti-Tuozzo, Hooman Kamel, Guido J Falcone, John Ney, Richa Sharma, Charles Matouk and 3 more

Abstract read
In one paragraph

Article in Neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

13 authors.

Andrew B KooDepartment of Neurosurgery, Yale School of Medicine, New Haven, CT.ORCID 0000-0002-2854-649X
Lily ZhouDepartment of Neurology, University of British Columbia, Vancouver, Canada.ORCID 0000-0002-3064-0864
Irbaz HameedDivision of Cardiac Surgery, Department of Surgery, Yale University, New Haven, CT.
Cyprien A RivierDepartment of Neurology, Center for Brain and Mind Health, Yale University, New Haven, CT.ORCID 0000-0002-1148-1829
Santiago Clocchiatti-TuozzoDepartment of Neurology, Center for Brain and Mind Health, Yale University, New Haven, CT.ORCID 0000-0001-5377-434X
Hooman KamelDepartment of Neurology, Cornell University, New York, NY.ORCID 0000-0002-5745-0307
Guido J FalconeDepartment of Neurology, Center for Brain and Mind Health, Yale University, New Haven, CT.ORCID 0000-0002-6407-0302
John NeyDepartment of Neurology, VA Center for Healthcare Organization and Implementation, Bedford, MA; and.ORCID 0000-0003-3479-6441
Richa SharmaDepartment of Neurology, Center for Brain and Mind Health, Yale University, New Haven, CT.ORCID 0000-0003-0798-2353
Charles MatoukDepartment of Neurosurgery, Yale School of Medicine, New Haven, CT.ORCID 0000-0003-3234-9541
Shadi YaghiDepartment of Neurology, Brown University, Providence, RI.ORCID 0000-0003-0031-1004
Kevin Navin ShethDepartment of Neurology, Center for Brain and Mind Health, Yale University, New Haven, CT.ORCID 0000-0003-2003-5473
Adam de HavenonDepartment of Neurology, Center for Brain and Mind Health, Yale University, New Haven, CT.ORCID 0000-0001-8178-8597

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesIschemic stroke following cardiac intervention is a serious complication. However, there are limited data comparing stroke risk and severity among patients undergoing different types of cardiac interventions. We examined the incidence of ischemic stroke among patients undergoing cardiac interventions and identified variables associated with risk and severity of ischemic stroke.

methodsWe included cardiac intervention hospitalizations for adults within the United States from 2016 to 2021 in the National Inpatient Sample. We constructed a cross-sectional cohort of cardiac intervention hospitalizations comprising all hospitalizations within a Centers for Medicare & Medicaid Services-defined "Cardiac Surgery" Diagnosis-Related Group. The exposure was category of cardiac intervention, and primary outcome was ischemic stroke in any coding position. After survey weighting, we examined the frequency and factors associated with ischemic stroke, stroke severity, and inpatient mortality. A secondary analysis was performed in a subset of patients with documented NIH Stroke Scale (NIHSS).

resultsAfter survey weighting, among 6,083,899 cardiac intervention hospitalizations (mean age: 67.8 years, 34.5% female), ischemic stroke was diagnosed in 75,280 (1.24%). A higher risk of stroke was associated with female sex (vs male, adjusted odds ratio [OR] 1.25, 95% CI 1.20-1.29), age 75 or older (vs 18-54, OR 1.33, 95% CI 1.23-1.42), and non-Hispanic Black ethnicity (vs White, OR 1.32, 95% CI 1.24-1.39). Compared with percutaneous interventions, open cardiac surgery was associated with higher incidence of stroke (adjusted OR 2.47, 95% CI 2.39-2.55) and the strokes were significantly more severe (NIHSS median: 5 vs 3, mean 8.7 vs 5.6, respectively, DISCUSSION: Ischemic stroke during hospitalizations for cardiac interventions in the United States varies by type of intervention and shows an increasing trend from 2016 to 2021. Cardiac intervention patients sustaining an ischemic stroke are 5 times as likely to have in-hospital death as those without stroke. Further research is needed to identify high-risk populations that could benefit from specific postoperative monitoring strategies and/or specific therapeutic interventions.

Indexed as

Cardiac Surgical ProceduresIschemic StrokePostoperative ComplicationsAgedAged, 80 and overCross-Sectional StudiesFemaleHospitalizationHospital MortalityHumansIncidenceMaleMiddle AgedRisk FactorsUnited States

Identifiers

PMID40493873
PMCPMC12165311

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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.