Evidence map›Paper›PMID 40890343›Full record

ArticleScientific reports2025

Computed tomography derived FFR and plaque features in prognosis of aortic stenosis combined with coronary artery disease after TAVR.

Yi Fang, Miaohan Qiu, Yu Sun, Ran Guo, Bo Yu, Bin Liu, Yingxian Sun, Qian Tong, Jihong Liu, Wenyue Pang and 7 more

Abstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Observational
  2. Review
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

17 authors.

Yi FangLaboratory of Frigid Zone Cardiovascular Disease, Cardiovascular Research Institute, Department of Cardiology, General Hospital of Northern Theater Command, No. 83 Wenhua Road, Shenhe Distract, Shenyang, 110016, China.
Miaohan QiuLaboratory of Frigid Zone Cardiovascular Disease, Cardiovascular Research Institute, Department of Cardiology, General Hospital of Northern Theater Command, No. 83 Wenhua Road, Shenhe Distract, Shenyang, 110016, China.
Yu SunDepartment of Radiology, General Hospital of Northern Theater Command, No. 83 Wenhua Road, Shenhe Distract, Shenyang, 110016, China.
Ran GuoThe First Affiliated Hospital of Dalian Medical University, No.222 Zhongshan Road, Dalian, 116011, China.
Bo YuThe Second Affiliated Hospital of Harbin Medical University, No. 246 Xuefu Road, Nangang District, Harbin, 150001, China.
Bin LiuThe Second Hospital of Jilin University, No. 4026 Yatai Street, Nanguan District, Changchun, 130041, China.
Yingxian SunThe First Hospital of China Medical University, No.155 North Nanjing Street, Heping District, Shenyang, 110001, China.
Qian TongThe First Hospital of Jilin University, No.1 Xinmin Street, Changchun, 130021, China.
Jihong LiuAffiliated Zhongshan Hospital of Dalian University, No.6 Jiefang Street, Zhongshan District, Dalian, 116001, China.
Wenyue PangShengjing Hospital of China Medical University, No.36 Sanhao Street, Heping District, Shenyang, 110004, China.
Bo LuanThe People's Hospital of Liaoning Province, No.33 Wenyi Road, Shenhe District, Shenyang, 110013, China.
Bin WangLaboratory of Frigid Zone Cardiovascular Disease, Cardiovascular Research Institute, Department of Cardiology, General Hospital of Northern Theater Command, No. 83 Wenhua Road, Shenhe Distract, Shenyang, 110016, China.
Geng WangLaboratory of Frigid Zone Cardiovascular Disease, Cardiovascular Research Institute, Department of Cardiology, General Hospital of Northern Theater Command, No. 83 Wenhua Road, Shenhe Distract, Shenyang, 110016, China.
Yang LiLaboratory of Frigid Zone Cardiovascular Disease, Cardiovascular Research Institute, Department of Cardiology, General Hospital of Northern Theater Command, No. 83 Wenhua Road, Shenhe Distract, Shenyang, 110016, China.
Zhenyang LiangLaboratory of Frigid Zone Cardiovascular Disease, Cardiovascular Research Institute, Department of Cardiology, General Hospital of Northern Theater Command, No. 83 Wenhua Road, Shenhe Distract, Shenyang, 110016, China.
Kai XuLaboratory of Frigid Zone Cardiovascular Disease, Cardiovascular Research Institute, Department of Cardiology, General Hospital of Northern Theater Command, No. 83 Wenhua Road, Shenhe Distract, Shenyang, 110016, China. xukai2001@sina.com.
Yaling HanLaboratory of Frigid Zone Cardiovascular Disease, Cardiovascular Research Institute, Department of Cardiology, General Hospital of Northern Theater Command, No. 83 Wenhua Road, Shenhe Distract, Shenyang, 110016, China. hanyaling@163.net.

Funding

the China National Key R&D Project 2020YFC2008100the China National Key R&D Project 2022YFC2503403
6 · The paper itself

Abstract

To assess the value of computed tomography angiography (CTA)-derived fractional flow reserve (CT-FFR) and high-risk plaque characteristics (HRPC) in the prediction of prognosis in patients with concomitant aortic stenosis (AS) and coronary artery disease (CAD) after transcatheter aortic valve replacement (TAVR). The study was a post hoc analysis from a multicenter TAVR registry. Patients with AS and obstructive CAD who underwent successful TAVR treatment were enrolled. The CT-FFR and HRPC were measured in coronary vessels with ≥ 50% stenosis lesions. The patients were then grouped according to CT-FFR (≤ 0.8 vs. >0.8) and HRPC (Yes vs. No) criteria. The primary outcome was major adverse cardiovascular events (MACE), a composite of cardiac death, nonfatal myocardial infarction, and ischemia-driven revascularization. The multivariable Cox proportional regression was used to identify independent predictors of MACE. To assess the combined prognostic value of CT-FFR and HRPC to OPT-CAD risk, receiver operating characteristic curves were used and the area under the curve (AUC) was determined. A total of 213 patients were enrolled. The mean age was 74.34 years and 125 (58.4%) were male. The patients with lower CT-FFR (≤ 0.8) had a higher rate of MACE compared with those with CT-FFR > 0.8 (11.9% vs. 2.3%, P = 0.011). However, there was no significant difference in MACE incidence (9.0% vs. 5.3%, P = 0.38) between patients with and without HRPC, respectively. The Cox regression model revealed that advanced age (hazard ratio [HR] 1.07, 95% confidence interval [CI] 1.003-1.15, P = 0.04), elevated NT-proBNP levels (HR 1.004, 95% CI 1.00-1.01, P = 0.046), and higher CT-FFR (HR 0.78, 95% CI 0.62-0.97, P = 0.03) were independent predictors of MACE. The optimal threshold value for predicting MACE using CT-FFR was determined to be 0.79. The performance in predicting MACE using the OPT-CAD score model was enhanced when both CT-FFR and HRPC were incorporated into the model [AUC 0.63 (0.49-0.76) vs. 0.74 (0.63-0.84), P = 0.04]. Pre-procedure CT-FFR was an independent predictor of MACE in patients with concomitant AS and CAD after TAVR.

Indexed as

Aortic Valve StenosisComputed Tomography AngiographyCoronary Artery DiseaseFractional Flow Reserve, MyocardialPlaque, AtheroscleroticTranscatheter Aortic Valve ReplacementAgedAged, 80 and overFemaleHumansMalePrognosisROC CurveAortic stenosisCoronary artery diseaseCT-FFRPlaque characteristicsPrognosisTranscatheter aortic valve replacement

Identifiers

PMID40890343
PMCPMC12402275

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