马来西亚大学医院儿科死亡病例的特征

Nur Amirah Saulius, Nor Rosidah Ibrahim, M. I. Ilias, Fahisham Taib
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摘要

导言:医院很少对儿科死亡进行审计评估,尤其是在中低收入国家。本研究旨在描述住院儿童中儿科死亡的特征,并确定马来西亚理科大学医院(USM)死亡地点的预测因素。研究方法对死亡时年龄在29天至18岁之间的儿科死亡病例进行分析。这些病例是马来西亚大学医院在 2013 年至 2020 年期间记录在案的病例。对病例记录进行了审查,并对数据进行了回顾性采集。采用多元逻辑回归评估死亡地点的预测因素,尤其是病房环境:在研究期间发现的 841 例儿科死亡病例中,有 544 例登记在案。男性比例较高(1.4:1)。年龄中位数为 56 个月,以婴儿为主。住院时间中位数为 10.5 天。超过一半的病例(58.3%)患有潜在的危及生命的疾病。大多数患者都下达了 "不要抢救 "的命令。住院时间较长(患病几率比(POR 0.99,95% CI 0.98,0.99))、使用呼吸机(POR 3.42,95% CI 1.95,6.01)、病入膏肓(POR 0.40,95% CI 0.23,0.70)和患有潜在的限制生命疾病(POR 0.50,95% CI 0.33,0.75)是病房死亡的重要预测因素。结论了解儿童死亡的特征以及与死亡地点相关的因素对于改善儿科护理和治疗至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Characteristics of Paediatric Death Cases at a Malaysian University Hospital
Introduction: Auditing of paediatric deaths has rarely been evaluated in hospitals especially in low and middle-income countries. The aim of the study is to describe the characteristics of paediatric death in hospitalised children and determine the predictors of death location in Hospital Universiti Sains Malaysia (USM). Method: Paediatric mortality cases for children aged between 29 days and 18 years old at the time of death were analyzed. These were documented cases between the year 2013 and 2020 at Hospital USM. Case notes were reviewed, and data were captured retrospectively. Multiple Logistic Regression was used to assess predictors of the location of death especially in the ward setting.Results: Out of 841 paediatric deaths identified during the period of the study, 544 cases were enrolled. The male gender has a higher proportion (1.4:1). The median age was 56 months, with infancy being the predominant age group. The median length of hospital stay was 10.5 days. More than half of the cases (58.3%) had underlying life-limiting illnesses. The majority of the patients had “Do Not Resuscitate” orders. A longer length of stay (prevalence odds ratio (POR 0.99, 95% CI 0.98, 0.99), being on ventilator (POR 3.42,95% CI 1.95, 6.01), being terminally ill (POR 0.40,95% CI 0.23, 0.70) and having underlying life limiting illness (POR 0.50, 95% CI 0.33, 0.75) were the significant predictors for the ward death. Conclusion: Understanding the characteristics of child death and the factors associated with death location is critical for improving paediatric care and treatment.
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