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ArticleClinical research in cardiology : official journal of the German Cardiac Society2026

Interaction between coronary lesion complexity and coronary microvascular dysfunction in the prognosis of NSTEMI patients.

Ping Lin, Yuxuan Zhang, Zining Chen, Jiamu Chen, Guohui Chen, Jiacheng Fang, Yiyue Zheng, Delong Chen, Abuduwufuer Yidilisi, Rui Ji and 9 more

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Article in Clinical research in cardiology : official journal of the German Cardiac Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
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

19 authors.

Ping LinDepartment of Cardiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310009, China.
Yuxuan ZhangDepartment of Cardiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310009, China.
Zining ChenDepartment of Cardiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310009, China.
Jiamu ChenDepartment of Cardiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310009, China.
Guohui ChenDepartment of Cardiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310009, China.
Jiacheng FangDepartment of Cardiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310009, China.
Yiyue ZhengDepartment of Cardiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310009, China.
Delong ChenDepartment of Cardiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310009, China.
Abuduwufuer YidilisiDepartment of Cardiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310009, China.
Rui JiDepartment of Cardiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310009, China.
Xinyi ZhangDepartment of Cardiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310009, China.
Chi LiuDepartment of Cardiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310009, China.
Jiniu HuangDepartment of Cardiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310009, China.
Yumeng HuArteryFlow Research and Development Center for Intelligent Diagnosis and Treatment of Cardiovascular and Cerebrovascular Diseases ArteryFlow Technology Co., Ltd., Hangzhou, China.
Jianping XiangArteryFlow Research and Development Center for Intelligent Diagnosis and Treatment of Cardiovascular and Cerebrovascular Diseases ArteryFlow Technology Co., Ltd., Hangzhou, China.
Tiesheng NiuDepartment of Cardiology, Shengjing Hospital of China Medical University, Shenyang, China.
Jun PuDepartment of Cardiology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jian'an WangDepartment of Cardiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310009, China. wangjianan111@zju.edu.cn.
Jun JiangDepartment of Cardiology, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310009, China. jiang-jun@zju.edu.cn.ORCID http://orcid.org/0000-0001-6926-9516

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prognostic value of the American College of Cardiology/American Heart Association (ACC/AHA) lesion classification in NSTEMI remains insufficiently investigated, especially regarding its interaction with coronary microvascular disease (CMD).

methodsIn 2212 NSTEMI patients, we evaluated lesion complexity by applying the modified ACC/AHA classification system and then measured post-PCI angio-IMR. The primary endpoint was major adverse cardiovascular events (MACE) at 2 years.

resultsPatients with complex lesions demonstrated substantially elevated 2-year MACE rates compared to those with simple lesions (13.5% vs 7.5%, P < 0.001). Lesion complexity independently predicted MACE [HR 1.48 (95% CI (1.09-2.00)), P = 0.011]. Notably, the addition of lesion classification to a model containing the GRACE score and other clinical factors significantly improved risk prediction [C-index 0.708 (95% CI (0.672-0.744)) vs 0.693 (95% CI (0.655-0.730)), P = 0.017)]. Among non-CMD patients, complex lesions were correlated with the higher MACE incidence (10.50% vs 6.20%, P = 0.002), whereas no significant difference was observed in CMD patients (37.80% vs 26.00%, P = 0.166). Notably, CMD showed a strong association with complex lesions [OR 1.74 (95% CI (1.22-2.48)), P = 0.002]. Mediation analysis indicated that CMD accounted for 17% of the total effect of lesion complexity on MACE [proportion of effect 0.17 (95% CI (0. 07-0.39)), P = 0.002].

conclusionsThe American College of Cardiology/American Heart Association lesion classification effectively stratifies risk in non-ST-segment elevation myocardial infarction, particularly among patients without coronary microvascular disease. Coronary microvascular disease is independently associated with complex coronary lesions and mediates approximately 17% of their adverse prognostic impact on major adverse cardiovascular events.

Indexed as

Coronary CirculationCoronary VesselsMicrocirculationNon-ST Elevated Myocardial InfarctionAgedCoronary AngiographyFemaleFollow-Up StudiesHumansIncidenceMaleMicrovesselsMiddle AgedPercutaneous Coronary InterventionPrognosisRisk AssessmentCoronary lesion complexityCoronary microvascular dysfunctionNon-ST-segment elevation myocardial infarctionPercutaneous coronary intervention

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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.