ArticleJournal of cardiothoracic surgery2026
Temporal epidemiological characteristics of acute aortic dissection incidence patterns in east China: a retrospective analysis of 1,038 patients.
Article in Journal of cardiothoracic surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.
What it found
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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.
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Who cites it
1 citing paper in PubMed.
- Correction: Temporal epidemiological characteristics of acute aortic dissection incidence patterns in east China: a retrospective analysis of 1,038 patients.Journal of cardiothoracic surgery · 2026Article
Corrections and comments
- Erratum issued
Authors and funding
6 authors.
Funding
Abstract
backgroundThis study aims to investigate the temporal biological distribution characteristics of acute aortic dissection (AAD) onset in East China, analyze differences in onset patterns between patients with different types (Stanford Type A and Type B) and genders, and provide regional epidemiological evidence to inform our understanding of the temporal distribution of AAD in East China.
methodClinical data were retrospectively collected from 1,038 patients with confirmed AAD diagnosed between January 2009 and September 2025. SPSS 27.0 software was employed to analyze temporal distribution patterns of onset, including seasonal, monthly, weekly, and daily rhythmic characteristics, whilst investigating the influence of gender and disease subtype on temporal biological features.
resultA total of 1,038 patients with AAD were included, comprising 571 cases (55.0%) of Stanford Type A AAD and 467 cases (45.0%) of Stanford Type B AAD; 767 were male (73.9%), with a mean age of 55.7 ± 13.5 years. Circadian patterns showed that 17:00-20:00 was the peak period for onset (21.4%), whilst 01:00-04:00 was the trough (12.5%); females exhibited more pronounced fluctuations across certain time scales. Regarding weekly distribution, Stanford Type B cases had the lowest proportion on Saturdays (11.8%); the weekly distribution of female patients showed a certain degree of variation. At the monthly and seasonal levels, cases were concentrated in January, February, March, November and December; the incidence was highest in winter (32.6%), followed by autumn (25.4%), spring (24.6%) and summer (17.4%). Seasonal differences were statistically significant (P < 0.0001), and the seasonal fluctuations in Stanford Type A AAD were greater than those in Stanford Type B AAD. Furthermore, significant differences were observed between patients of different subtypes in terms of gender distribution, history of smoking and alcohol consumption, and the prevalence of comorbidities (P < 0.05).
conclusionThe incidence of AAD in East China exhibits distinct circadian patterns, with potential variations across different subtypes and gender groups at certain temporal scales. These findings provide an epidemiological basis for understanding the temporal distribution of AAD incidence in East China and for the preparation of clinical resources.
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