Association of Prognostic Nutritional Index with Post-Discharge Bleeding After Percutaneous Coronary Intervention in ACS Patients on DAPT.

IF 2.8 3区 医学 Q1 Pharmacology, Toxicology and Pharmaceutics
Therapeutics and Clinical Risk Management Pub Date : 2025-04-10 eCollection Date: 2025-01-01 DOI:10.2147/TCRM.S496656
Nasima Mohamed Elkenany, Zia Ul Sabah, Nadia Ahmed Agiba, Hanaa Kamel Elmahdy, Eman Aziz Yousef Elsherbiny, Salwa Rashad Aly Said, Eman Mostafa Nassef, Ahmed Mohamed Ewis Alhawy, Marwan Sayed Mohamed Ahmed, Ashraf Mohammed Said Elsharkawy, Amr Mahmoud Mohamed Hussein, Abeer Ahmed Elmalah
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引用次数: 0

Abstract

Purpose: Malnutrition increases bleeding risk by reducing thrombogenicity, impairing platelet aggregation, prolonging bleeding time, and promoting systemic inflammation, which affects vascular permeability and angiogenesis. The Prognostic Nutritional Index (PNI), calculated from serum albumin and lymphocyte count, reflects both nutritional and inflammatory status. This study aimed to assess PNI's association with bleeding risk in acute coronary syndrome (ACS) patients on dual antiplatelet therapy (DAPT).

Patients and methods: This prospective, single-center observational cohort study enrolled 1843 patients presenting with acute coronary syndrome (ACS) who underwent percutaneous coronary intervention (PCI). ROC analysis determined 42.7 as the optimal PNI cut-off value for risk stratification. Participants were stratified into distinct groups based on Prognostic Nutritional Index (PNI) cut-off values, a composite marker derived from serum albumin levels and peripheral lymphocyte counts, reflecting both nutritional and inflammatory status. Patients were prospectively followed for 12 months post-discharge to assess the occurrence of actionable bleeding events, with the aim of evaluating the association between PNI and post-PCI bleeding risk.

Results: The study cohort had a mean age of 66.4, with 65.16% male. After PCI, 98.04% were on DAPT. Patients were divided into Group I (PNI ≥ 42.7, n = 1290) and Group II (PNI < 42.7, n = 553). During follow-up, 5.58% of patients experienced actionable bleeding, with 3.5% in Group I and 10.3% in Group II (p < 0.0001). Multivariable Cox regression analysis revealed that PNI < 42.7 was a significant independent predictor of bleeding (HR: 1.7; 95% CI: 1.1-2.5; p < 0.003).

Conclusion: Baseline PNI is an independent predictor of post-discharge bleeding in ACS patients on DAPT after PCI, suggesting it could be a valuable tool for risk stratification of bleeding in these patients.

ACS患者经皮冠状动脉介入治疗DAPT后预后营养指数与出院后出血的关系
目的:营养不良通过降低血栓形成性,损害血小板聚集,延长出血时间,促进全身炎症,从而影响血管通透性和血管生成,从而增加出血风险。根据血清白蛋白和淋巴细胞计数计算的预后营养指数(PNI)反映了营养和炎症状态。本研究旨在评估PNI与双重抗血小板治疗(DAPT)急性冠脉综合征(ACS)患者出血风险的关系。患者和方法:这项前瞻性、单中心观察队列研究纳入了1843例经皮冠状动脉介入治疗(PCI)的急性冠脉综合征(ACS)患者。ROC分析确定42.7为风险分层的最佳PNI截止值。根据预后营养指数(PNI)临界值将参与者分层为不同的组,PNI是一种来自血清白蛋白水平和外周血淋巴细胞计数的复合标志物,反映了营养和炎症状态。患者出院后随访12个月,以评估可操作出血事件的发生,目的是评估PNI与pci后出血风险之间的关系。结果:研究队列平均年龄66.4岁,男性占65.16%。PCI术后98.04%采用DAPT治疗。患者分为I组(PNI≥42.7,n = 1290)和II组(PNI < 42.7, n = 553)。随访期间,5.58%的患者出现了可行动性出血,其中I组为3.5%,II组为10.3% (p < 0.0001)。多变量Cox回归分析显示,PNI < 42.7是出血的显著独立预测因子(HR: 1.7;95% ci: 1.1-2.5;P < 0.003)。结论:基线PNI是ACS患者PCI术后DAPT出院后出血的独立预测因子,提示它可能是这些患者出血风险分层的有价值工具。
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来源期刊
Therapeutics and Clinical Risk Management
Therapeutics and Clinical Risk Management HEALTH CARE SCIENCES & SERVICES-
CiteScore
5.30
自引率
3.60%
发文量
139
审稿时长
16 weeks
期刊介绍: Therapeutics and Clinical Risk Management is an international, peer-reviewed journal of clinical therapeutics and risk management, focusing on concise rapid reporting of clinical studies in all therapeutic areas, outcomes, safety, and programs for the effective, safe, and sustained use of medicines, therapeutic and surgical interventions in all clinical areas. The journal welcomes submissions covering original research, clinical and epidemiological studies, reviews, guidelines, expert opinion and commentary. The journal will consider case reports but only if they make a valuable and original contribution to the literature. As of 18th March 2019, Therapeutics and Clinical Risk Management will no longer consider meta-analyses for publication. The journal does not accept study protocols, animal-based or cell line-based studies.
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