Suppr超能文献

前瞻性观察研究估计卒中患者亚类中的药物相关问题和临床结局。

A prospective observational study of estimating drug related problems and clinical outcomes in subtypes of stroke patients.

机构信息

Department of Pharmaceutics, Faculty of Pharmacy and Pharmaceutical Sciences, University of Karachi, Karachi, Pakistan.

Department of Pharmaceutics, Faculty of Pharmacy, Salim Habib University, Karachi, Pakistan.

出版信息

PLoS One. 2024 Jan 2;19(1):e0295208. doi: 10.1371/journal.pone.0295208. eCollection 2024.

Abstract

BACKGROUND

Stroke is a neurological disease and a leading cause of mortality worldwide. Strokes mainly consist of two types: hemorrhage and ischemia. Stroke patients are being administered multiple drug therapy and are at risk of drug-related problems.

AIM

To estimate drug-related problems (DRPs) and clinical end outcomes in hospitalized stroke patients.

METHODS

Current study was a multicenter, cross-sectional prospective observational study including 250 stroke patients admitted to tertiary care hospitals in Karachi, Pakistan. The study included all clinical subtypes of stroke patients i.e. Stroke, Ischemic stroke, Hemorrhagic stroke, CVA, and TIA. Associations among patient-clinical end outcomes and drug therapy-related variables like DRPs, mortality, and morbidity rates were estimated using Pearson's chi-squared test. Statistical analysis was done by using SPSS software, version 25.

RESULTS

A total of 250 patients participated in this study suffering from different clinical subtypes of stroke i.e. Ischemic stroke, hemorrhagic stroke, TIA, and CVA, including 46% male and 54% female patients. The majority of patients' stay at the hospital was between 1-10 days. The overall mortality rate in stroke patients was 51%. HAIs were observed in 70% of patients, HAIs faced by patients were SAP, CAP, UTI, sepsis, and VAP. Drugs were assessed according to NEML i.e. access group antibiotics, watch group antibiotics, reserve group antibiotics, statins, antiepileptics, and proton pump inhibitors. Majorly ceftriaxone was administered to 79% of patients, piperacillin-tazobactam to 52%, and cefixime to 48%, whereas meropenem was administered to 42% of patients along with vancomycin to 39% of total patients. A high mortality rate was observed in the case of Klebsiella pneumoniae and Staphylococcus aureus i.e. 78% and in the case of streptococcus pneumoniae 61% mortality rate was observed. Due to the presence of DRPs and various other clinical factors like comorbidities, DDIs, HAIs, administration of potentially nephrotoxic drugs, and administration of antibiotics without having CST, hospitalized stroke patients faced many problems.

CONCLUSION

This study helped determine DRPs along with various clinical factors affecting the clinical end outcomes of patients suffering from any clinical subtype of stroke. Due to the enhancement in the evidence of the incidence of DRPs in tertiary care hospitals, pharmacist-led drug therapy review by interfering with doctors and other medical professionals at the patient bed site is needed and should be done to avoid any negative end outcomes and serious issues related to DRPs.

摘要

背景

中风是一种神经系统疾病,也是全球范围内导致死亡的主要原因。中风主要包括两种类型:出血性和缺血性。中风患者接受多种药物治疗,存在药物相关问题的风险。

目的

评估住院中风患者的药物相关问题(DRP)和临床结局。

方法

本研究为多中心、横断面前瞻性观察研究,纳入巴基斯坦卡拉奇 3 家三级医院的 250 例中风患者。研究纳入所有临床亚型的中风患者,包括中风、缺血性中风、出血性中风、CVA 和 TIA。使用 Pearson's chi-squared 检验评估患者临床结局与药物治疗相关变量(如 DRP、死亡率和发病率)之间的关联。使用 SPSS 软件(版本 25)进行统计分析。

结果

共有 250 名不同临床亚型的中风患者(缺血性中风、出血性中风、TIA 和 CVA)参与了本研究,其中 46%为男性,54%为女性。大多数患者在医院的住院时间为 1-10 天。中风患者的总体死亡率为 51%。70%的患者发生医院获得性感染(HAI),HAI 包括 SAP、CAP、UTI、败血症和 VAP。根据 NEML 评估药物,包括使用组抗生素、观察组抗生素、储备组抗生素、他汀类药物、抗癫痫药和质子泵抑制剂。主要给予 79%的患者头孢曲松,52%的患者哌拉西林他唑巴坦,48%的患者头孢克肟,42%的患者给予美罗培南,39%的患者给予万古霉素。肺炎克雷伯菌和金黄色葡萄球菌的死亡率较高,分别为 78%和 61%,肺炎链球菌的死亡率为 61%。由于存在 DRP 以及其他影响任何临床亚型中风患者临床结局的临床因素,如合并症、药物相互作用、HAI、使用潜在肾毒性药物以及未进行 CST 而使用抗生素,住院中风患者面临许多问题。

结论

本研究有助于确定 DRP 以及影响任何临床亚型中风患者临床结局的各种临床因素。由于在三级医院证据中发现 DRP 的发生率增加,需要药剂师在患者床边通过与医生和其他医疗专业人员合作,进行药物治疗审查,以避免任何与 DRP 相关的负面结局和严重问题。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b213/10760710/2358b219f385/pone.0295208.g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验