Evidence mapPaperPMID 39143995Full record

ArticleQuantitative imaging in medicine and surgery2024

Assessment of perioperative cardiac risk using preoperative quantitative flow ratio in patients with coronary artery disease undergoing noncardiac surgery: a retrospective cohort study.

Ken Lin, Yimin Zhou, Weicheng Ni, Kun Guo, Yuanmiao Li, Jiayu Ke, Ling Cheng, Qingwei Ni, Sanling Shi, Yucheng Lu and 2 more

Abstract read
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Article in Quantitative imaging in medicine and surgery, 2024. 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

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Ken Lin *Department of Cardiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Yimin Zhou *Department of Cardiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Weicheng NiDepartment of Cardiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Kun GuoDepartment of Cardiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Yuanmiao LiDepartment of Cardiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Jiayu KeDepartment of Cardiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Ling ChengDepartment of Cardiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Qingwei NiDepartment of Cardiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Sanling ShiDepartment of Cardiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Yucheng LuDepartment of Cardiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Lingyue SunDepartment of Cardiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Hao ZhouDepartment of Cardiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Quantitative flow ratio (QFR) is a novel diagnostic modality for the functional testing of coronary artery stenosis, but evidence concerning the postoperative prognostic implication of QFR in noncardiac surgery (NCS) of patients with coronary artery disease (CAD) is limited. The purpose of this study was to examine the role of QFR in perioperative risk prediction in patients with coronary heart disease. Methods: This retrospective cohort study was conducted in The First Affiliated Hospital of Wenzhou Medical University between 2013 and 2022, and consecutively included patients with CAD who had undergone NCS <1 year after coronary angiography. The primary endpoint was major adverse cardiovascular events (MACEs), which were defined as a composite of cardiovascular death, nonfatal myocardial infarction, nonfatal stroke, cardiopulmonary arrest, malignant ventricular arrhythmia (MVA), congestive heart failure, and revascularization. Univariate and multifactorial Cox regression was used to identify the independent risk factors for perioperative cardiovascular events and to construct new models. The area under the curve (AUC), net reclassification improvement (NRI), and integrated discrimination improvement (IDI) were used to compare the newly constructed model with existing traditional models. Results: Among the 929 participants enrolled (median age 68 years; 72.0% male), the primary endpoint was met in 67 (7.2%) patients within 30 days of follow-up. There was no significant difference in the incidence of the primary endpoint between patients with QFR <0.75 and those with "gray zone" lesions (0.75≤ QFR ≤0.8) (log-rank P=0.325). Patients with QFR <0.75 and those with "gray zone" lesions (0.75≤ QFR ≤0.8) had a higher incidence of primary endpoint events compared to patients with QFR >0.8. [QFR <0.75 Conclusions: QFR ≤0.8 could independently predict perioperative cardiovascular adverse events in patients with CAD undergoing NCS and improve the predictive value of original predictive index. Gray-zone lesions (0.75≤ QFR ≤0.8) should be actively treated.

Indexed as

Coronary artery disease (CAD)noncardiac surgery (NCS)perioperative cardiac riskquantitative flow ratio (QFR)

Identifiers

PMID39143995
PMCPMC11320557

What Socratic holds

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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 Socratic graph.