Degefu Natanim, Jambo Abera, Demissie Regassa Lemma, Getachew Melaku
Department of Pharmaceutics, School of Pharmacy, Haramaya University, Harar, Ethiopia.
Department of Clinical Pharmacy, School of Pharmacy, Haramaya University, Harar, Ethiopia.
J Pharm Policy Pract. 2024 Feb 22;17(1):2309294. doi: 10.1080/20523211.2024.2309294. eCollection 2024.
Acute cardiogenic pulmonary oedema is highly associated with poor in-hospital outcomes. This study aimed to determine the in-hospital outcome and its predictors among patients with acute cardiogenic pulmonary oedema at a tertiary hospital in Harar, Eastern Ethiopia, from May 1 to 20, 2023.
A retrospective cohort study was employed among 204 patients with acute cardiogenic pulmonary oedema who were admitted between 1st May 2018 and 30th April 2023. The collected data were entered into Excel, and analysed using theSTATA software version 17. The hazard ratio with its 95% confidence interval was used and a -value < 0.05 was considered a statistically significant association.
The overall mortality rate was 17.60 (95% CI: 11.59-26.72) per 1000 person-day observation with mean (±SD) time to death was 2.88 (±2.06) days. Age (AHR: 1.35; 95% CI: 1.04-1.74 for every 10 years), being smoker (AHR: 3.26; 95% CI: 1.05-10.10), having respiratory rate of ≥40 breaths per minute (AHR: 5.46; 95% CI: 1.71-17.45), and having anaemia (AHR: 4.35; 95% CI: 1.23-15.33) were significant predictors of in-hospital mortality.
More than one in ten patients in this study died in the hospital. Therefore, special attention needs to be considered for patients with those predictors of in-hospital mortality.
急性心源性肺水肿与住院期间不良预后高度相关。本研究旨在确定2023年5月1日至20日在埃塞俄比亚东部哈勒尔的一家三级医院中,急性心源性肺水肿患者的住院结局及其预测因素。
对2018年5月1日至2023年4月30日期间收治的204例急性心源性肺水肿患者进行回顾性队列研究。收集的数据录入Excel,并使用STATA软件版本17进行分析。采用风险比及其95%置信区间,P值<0.05被认为具有统计学显著关联。
每1000人日观察的总死亡率为17.60(95%CI:11.59 - 26.72),平均(±标准差)死亡时间为2.88(±2.06)天。年龄(每10岁的调整风险比:1.35;95%CI:1.04 - 1.74)、吸烟(调整风险比:3.26;95%CI:1.05 - 10.10)、呼吸频率≥40次/分钟(调整风险比:5.46;95%CI:1.71 - 17.45)和贫血(调整风险比:4.35;95%CI:1.23 - 15.33)是住院死亡率的显著预测因素。
本研究中超过十分之一的患者在医院死亡。因此,对于具有这些住院死亡率预测因素的患者需要给予特别关注。