维多利亚公立医院经尿道前列腺切除术后的住院死亡率。

M Z Ansari, A J Costello, M J Ackland, N Carson, I G McDonald
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引用次数: 7

摘要

背景:本论文的目的是(i)确定维多利亚州公立医院经尿道前列腺切除术(TURP)后住院死亡率的趋势;(ii)探讨TURP术后住院死亡率与年龄、不良事件、入院类型(急诊/计划)、医院位置(大都市/农村)、医院教学状况和住院时间之间的关系。方法:采用1987-88年和1994-95年《国际疾病分类第九版临床修改》(ICD-9-CM)编码的维多利亚州公立医院发病率数据,研究TURP术后住院死亡率的变化趋势以及住院死亡率与上述变量的关系。粗比值比(OR)和调整后的95%置信区间(CI)分别基于单因素和多因素logistic回归。结果:在调整了年龄、合并症和其他混杂变量后,死亡率随时间降低的趋势非常显著(P < 0.0001, 95% CI: 0.84-0.95)。急诊入院(OR = 1.99, P < 0.0001)、不良事件的存在(OR = 2.69, P < 0.0001)、住院时间(趋势P < 0.0001,趋势P < 95%: 1.88-2.15)和年龄(趋势P < 0.0001;趋势95% CI: 1.26-1.48)。结论:从医院常规收集的数据可以为外科治疗有效性的提高提供初步证据,前提是分析要仔细考虑潜在的偏倚来源,特别是与病例选择随时间可能发生的变化有关的偏倚来源。这些数据应促使临床医生、质量保证专家和流行病学家共同努力,确认这一归因,并确定致病因素。
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In-hospital mortality after transurethral resection of the prostate in Victorian public hospitals.

Background: The purpose of the present paper was (i) to identify trends in in-hospital mortality after transurethral resection of the prostate (TURP) in Victorian public hospitals; and (ii) to explore associations between in-hospital mortality after TURP and age, adverse events, type of admission (emergency/planned), location of the hospital (metropolitan/rural), teaching status of the hospital and length of stay.

Methods: Trends in in-hospital mortality after TURP and the associations between in-hospital mortality and the aforementioned variables were studied using International Classification of Diseases, 9th revision, Clinical Modification (ICD-9-CM) coded Victorian hospital morbidity data from public hospitals between 1987-88 and 1994-95. Crude and adjusted odds ratios (OR) and 95% confidence intervals (CI) were based on univariate and multivariate logistic regression, respectively.

Results: After adjustment for age, comorbidity, and other confounding variables, the trend in mortality reduction over time was highly significant (P for trend < 0.0001, 95% CI for trend: 0.84-0.95). Highly significant associations with mortality were observed for emergency admissions (OR = 1.99, P < 0.0001), presence of adverse events (OR = 2.69, P < 0.0001), length of hospital stay (P for trend < 0.0001, 95% for trend: 1.88-2.15) and age (P for trend < 0.0001; 95% CI for trend: 1.26-1.48).

Conclusions: Routinely collected data from hospitals can provide tentative evidence of improved effectiveness of a surgical treatment, provided analysis takes careful account of potential sources of bias, especially those related to possible changes in case selection over time. These kinds of data should stimulate a joint effort between clinicians, quality assurance experts and epidemiologists to confirm this attribution, and to locate the causative factors.

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