Evidence map›Paper›PMID 42151808›Full record

ArticleBMC cardiovascular disorders2026

Surgical outcomes in acute type A aortic dissection: the effect of 5-hour time window on malperfusion syndrome.

De-Bin Jiang, Chen-Yu Zhu, Rui-Xuan Zhang, Qi Chen, Tian-Xin Lan, Lin-Feng Xie

Abstract read
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Article in BMC cardiovascular disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

De-Bin Jiang *Department of Cardiovascular Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian, P. R. China.
Chen-Yu Zhu *Department of Thoracic Surgery, First Affiliated Hospital of Dalian Medical University, Dalian Medical University, Dalian, Shenyang, P. R. China.
Rui-Xuan Zhang *Department of Cardiovascular Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian, P. R. China.
Qi ChenDepartment of Cardiovascular Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian, P. R. China.
Tian-Xin LanDepartment of Cardiovascular Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian, P. R. China.
Lin-Feng XieDepartment of Cardiovascular Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian, P. R. China. fjxhxlf@fjmu.edu.cn.

Funding

Fujian Provincial Natural Science Foundation 2023J01688Joint Funds for the innovation of Science and Technology, Fujian province 2025Y92021188Outstanding Young Doctorates Scientific Research Project of Fujian Medical University Union Hospital 2025XH051the Cultivated Young Talents of Fujian Province 2025YC004
6 · The paper itself

Abstract

backgroundWhile a 5-hour time window for central aortic repair has been proposed to improve outcomes in acute type A aortic dissection (ATAAD) complicated by malperfusion, its efficacy relative to the number and nature of involved organs remains unclear.

methodsPatients who underwent surgical repair for ATAAD with malperfusion between January 2013 and December 2019 were enrolled and stratified by the number of malperfusion sites. Surgical outcomes were then compared between patients who received central repair within a 5-hour window and those treated beyond this timeframe.

resultsPreoperative organ malperfusion was present in 22.5% (237/1053) of patients. Among them, 62.4% (148/237) had single-organ involvement, while 37.6% (89/237) presented with multi-organ involvement (≥ 2 organs). An exploratory receiver operating characteristic (ROC) curve analysis identified a statistical cutoff of 4.5 h for predicting in-hospital mortality, conceptually supporting the 5-hour clinical window. Proximal malperfusion (coronary, cerebral) was common in the multi-organ group and was associated with a significantly worse prognosis. Central repair within the 5-hour window significantly improved long-term outcomes for patients with single-organ malperfusion. For those with multi-organ involvement, this strategy significantly improved early surgical outcomes, although the benefit diminished as the number of malperfused sites increased. Furthermore, for patients with proximal malperfusion, adhering to the 5-hour window helped mitigate irreversible damage to vital organs, increasing the likelihood of survival and functional recovery.

conclusionsThe 5-hour time window serves as a clear clinical intervention threshold, enabling clinicians to make rapid decisions during the acute phase, optimize treatment plans, and fundamentally improve patient outcomes.

Indexed as

Aortic DissectionBlood Vessel Prosthesis ImplantationCerebrovascular CirculationCoronary CirculationDissection, Ascending AortaTime-to-TreatmentAcute DiseaseAgedFemaleHospital MortalityHumansMaleMiddle AgedRegional Blood FlowRetrospective StudiesRisk Assessment5-hour time windowAcute type A aortic dissectionCentral aortic repairMalperfusion

Identifiers

PMID42151808
PMCPMC13366748

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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.