Evidence map›Paper›PMID 36577944›Full record

ArticleBMC cardiovascular disorders2022

Coronary microcirculation dysfunction evaluated by myocardial contrast echocardiography predicts poor prognosis in patients with ST-segment elevation myocardial infarction after percutaneous coronary intervention.

Lan Wang, Yuliang Ma, Wenying Jin, Tiangang Zhu, Jing Wang, Chao Yu, Feng Zhang, Bailin Jiang

Open access · goldAbstract read
In one paragraph

Article in BMC cardiovascular disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.0field-weighted citation impact, top 12% of its field
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

9 citing papers in PubMed, 12 citations in OpenAlex.

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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

8 authors at 3 institutions in 2 countries.

Lan Wang *Department of Cardiology, Peking University People's Hospital, Beijing, China.
Yuliang Ma *Department of Cardiology, Peking University People's Hospital, Beijing, China.
Wenying Jin *Department of Cardiology, Peking University People's Hospital, Beijing, China.
Tiangang ZhuDepartment of Cardiology, Peking University People's Hospital, Beijing, China. tg_zh@aliyun.com.
Jing WangDepartment of Cardiology, Peking University People's Hospital, Beijing, China.
Chao YuDepartment of Cardiology, Peking University People's Hospital, Beijing, China.
Feng ZhangDepartment of Cardiology, Peking University People's Hospital, Beijing, China.
Bailin JiangDepartment of Anesthesiology, Peking University People's Hospital, Beijing, China.
Peking University · CNCenter for Translational Molecular Medicine · NLPeking University People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe mortality rate of acute ST-segment elevation myocardial infarction (STEMI) remains substantial, despite advances in treatment strategies. Coronary microcirculation dysfunction (CMD) persists after percutaneous coronary intervention (PCI) in a substantial proportion of STEMI patients. The association between CMD assessed using myocardial contrast echocardiography (MCE) and prognosis requires further elucidation. This study aimed to evaluate the impact of CMD after successful PCI on the prognosis of patients with STEMI.

methodsWe enrolled 167 patients with STEMI after PCI who underwent MCE during hospitalization between January 2018 and March 2022. Patients were classified into the CMD and non-CMD groups according to the results of MCE. The clinical data and MCE results of both groups were analyzed. Follow-up was conducted for major adverse cardiac events.

resultsMCE detected CMD in 105 patients (62.9%). The CMD group contained fewer hypertensive patients (55.2% versus 74.2%, P = 0.015). Patients with CMD exhibited significantly higher levels of plasma troponin I (TnI) [73.2 (23.0-124.0) versus 28.9 (12.7-80.2) ng/mL, P = 0.004], higher levels of plasma B-type natriuretic peptide [255 (99-641) versus 193 (59-389) pg/mL, P = 0.004], poorer Killip classification (P = 0.038), and different culprit vessels (P < 0.001) compared to the non-CMD group. Patients with CMD exhibited lower left ventricular ejection fraction [50 (43-58) versus 61 (54-67) %, P < 0.001], poorer wall motion score index values (1.68 ± 0.4 versus 1.31 ± 0.26, P < 0.001) and poorer left ventricular global longitudinal strain [-11.2 (-8.7 to -14.1) versus -13.9 (-11.0 to -17.2) %, P < 0.001] compared to the non-CMD group. Patients underwent follow-up for 13 (7-20) months. After adjusting for hypertension, peak TnI level, culprit vessel, and Killip classification, CMD was an independent predictor of total major adverse cardiac events at 13 months' follow-up [adjusted odds ratio (OR), 2.457; 95% confidence interval (CI), 1.042-5.790; P = 0.040], and patients with CMD had a higher risk of hospitalization for heart failure (adjusted OR, 5.184; 95% CI, 1.044-25.747; P = 0.044) and repeat myocardial infarction (adjusted OR, 2.896; 95% CI, 1.109-7.565; P = 0.030).

conclusionsMCE is a safe and effective method for detecting CMD in patients with STEMI. CMD detected by MCE after successful PCI in patients with STEMI is a common occurrence, which is associated with a significantly worse prognosis, especially hospitalization for heart failure and repeat myocardial infarction.

Indexed as

Heart FailureMyocardial InfarctionPercutaneous Coronary InterventionST Elevation Myocardial InfarctionEchocardiographyHumansMicrocirculationPrognosisStroke VolumeTreatment OutcomeVentricular Function, LeftAcute ST-segment elevation myocardial infarctionCoronary microcirculationMajor adverse cardiac eventsMyocardial contrast echocardiographyPercutaneous coronary intervention

Identifiers

PMID36577944
PMCPMC9795674
OpenAlexW4313417170

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LicenceCC BY
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Registered trials

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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.