Evidence map›Paper›PMID 37431393›Full record

ArticleInternational journal of general medicine2023

Performance of DAPT Score and ESC Criteria for Predicting Clinical Outcomes in Chinese Patients with Acute Coronary Syndrome.

Tianhua Deng, Lin Huang, Zhengli Ran, Xun Huang, Hong Li, Zhigang You

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In one paragraph

Article in International journal of general medicine, 2023. 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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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Tianhua DengDepartment of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, People's Republic of China.ORCID 0000-0001-7095-3286
Lin HuangDepartment of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, People's Republic of China.
Zhengli RanDepartment of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, People's Republic of China.
Xun HuangDepartment of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, People's Republic of China.
Hong LiDepartment of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, People's Republic of China.
Zhigang YouDepartment of Cardiovascular Medicine, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, People's Republic of China.
Nanchang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The values of European Society of Cardiology (ESC) criteria and dual antiplatelet therapy (DAPT) score in the stratification of ischemic risk were assessed in this study. Methods: A total of 489 patients with acute coronary syndrome who received DAPT at discharge between June 2020 and August 2020 were enrolled. The primary endpoint was the occurrence of major adverse cardiovascular events (MACE), which included recurrent ACS or unplanned revascularization, all-cause death, or ischemic stroke during a 27-month follow-up period. Results: Patients with ESC-defined high-risk showed a significantly higher risk of MACE (HR 2.75, 95% CI 1.78-4.25), all-cause death (HR 2.49, 95% CI 1.14-5.43), and recurrent ACS or unplanned revascularization (HR 2.80, 95% CI 1.57-4.99) than those with ESC-defined low/medium-risk during follow-up. The results of landmark analysis showed that patients in the high-risk group had a significantly higher risk of MACE (HR 2.80,95 CI% 1.57-4.97), recurrent ACS or unplanned revascularization (HR 3.19,95 CI% 1.47-6.93) within one year, and a higher risk of MACE (HR 2.69,95 CI% 1.38-5.23) after one year. There was no significant difference in the incidence of MACE between patients with a DAPT score ≥2 and a DAPT score <2. The C-indices of ESC criteria and DAPT score for prediction of MACE were 0.63 (95% CI 0.57-0.70) and 0.54 (95% CI 0.48-0.61), respectively. The predictive value of ESC criteria for MACE was better than the DAPT score according to the DeLong test (z-statistic=2.30, P=0.020). Conclusion: Patients with ESC-defined high-risk had a higher risk of MACE compared to those with ESC-defined low/medium-risk. The discriminant ability of the ESC criteria was better than the DAPT score for MACE. The ESC criteria demonstrated moderate discriminatory capacity of MACE in ACS patients treated with DAPT.

Indexed as

acute coronary syndromeclinical outcomeDAPT scoreESC criteriaplatelet inhibitors

Identifiers

PMID37431393
PMCPMC10329829
OpenAlexW4383262469

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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.