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JACC. Asia · 2022

Incidence, Prediction, and Outcomes of Major Bleeding After Percutaneous Coronary Intervention in Chinese Patients.

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Ng Andrew Kei-Yan, Ng Pauline Yeung, Ip April, Ling Ian Wood-Hay, Lam Lap-Tin, Siu Chung-Wah

Аннотация

BACKGROUND: The patterns of late major bleeding (MB) after percutaneous coronary intervention (PCI) remain unknown in Chinese patients.

OBJECTIVES: This study sought to determine the incidence, prediction, and long-term outcomes of late MB in Chinese patients.

METHODS: This was a retrospective cohort study from 14 hospitals in Hong Kong. Participants were patients undergoing first-time PCI without MB within 30 days or death within 1 year. Patients were stratified by the presence of late MB, defined as MB between 30 and 365 days. The primary endpoint was all-cause mortality. The secondary endpoints were major adverse cardiac events (MACE).

RESULTS: A total of 32,057 patients were analyzed. After adjustment for baseline characteristics, periprocedural characteristics, and medications on discharge, the risks of all-cause mortality at 5 years were significantly higher with late MB (HR: 2.15; 95% CI: 1.92-2.41; P < 0.001). Late MB was also associated with a higher risk of MACE (HR: 1.57; 95% CI: 1.03-1.50; P < 0.001), myocardial infarction (HR: 1.25; 95% CI: 1.04-1.52; P = 0.02), and stroke (HR: 1.38; 95% CI: 1.09-1.73; P = 0.006). The CARDIAC (anti-Coagulation therapy, Age, Renal insufficiency, Drop In hemoglobin, baseline Anemia in Chinese patients) score had a good discriminating power for prediction of MB within 365 days (area under the receiver-operating characteristic curve: 0.76).

CONCLUSIONS: Late MB was independently associated with a higher risk of mortality, MACE, myocardial infarction, and stroke in patients undergoing PCI. The CARDIAC score is a simple model that can predict MB after PCI. Prevention of MB represents an important strategy to optimize cardiovascular outcomes for patients undergoing PCI.

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

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