维多利亚州公立医院前列腺切除术后的不良事件

M Z Ansari, A J Costello, D J Jolley, M J Ackland, N Carson, I G McDonald
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引用次数: 0

摘要

背景:回顾性分析了维多利亚州住院病人最低数据库(VIMD)的数据,分析了1989/90至1994/95年间维多利亚州公立急诊医院前列腺切除术率的趋势。该研究还试图确定前列腺切除术后不良事件(AE)的预测因素,并比较开放式前列腺切除术和经尿道前列腺切除术(TURP)的住院并发症。方法:所有接受任何前列腺切除术的患者均根据VIMD中记录的相关ICD-9-CM程序代码(60.2-60.4)进行鉴定。主要结局指标AE采用ICD-9-CM外因损伤补充分类(E850-858、E870-876、E878-879、E930-949)确定。预测变量包括前列腺切除术年份、入院类型(计划、急诊)、医院位置(农村、城市)、手术类型(TURP、开放式)和医院的教学状况。粗比值比和校正比值比(OR)基于单因素和多因素logistic回归。结果:在6年的研究期间,前列腺切除术的发生率显著增加(P < 0.0001)。前列腺切除术后AE发生率从6.1%上升至12.9% (P < 0.0001)。同期,前列腺切除术后住院死亡率从1.2%降至0.5%,住院时间从10.3天降至6.1天(Kruskal-Wallis P < 0.0001)。预后的显著预测因子为前列腺切除术时间(P < 0.0001)、急诊入院(OR = 1.57;P < 0.0001),大城市医院(OR = 0.81;P = 0.0003),非教学医院(OR = 0.78;P < 0.0001),开放式前列腺切除术(OR = 1.52;P = 0.04)。开放性前列腺切除术的院内并发症多于TURP。结论:前列腺切除术后AE发生率的上升不太可能反映护理质量差,因为同期前列腺切除术后住院死亡率显著下降。一个更可能的解释是,对AE的认识提高了,报告此类事件的门槛降低了。除护理质量的差异外,其他重要因素也可能导致AE的增加。因此,在试图得出临床实践变化可能对这些比率产生直接影响的结论之前,应谨慎解释报告的增加。
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Adverse events after prostatectomy in Victorian public hospitals.

Background: A retrospective analysis of data from the Victorian Inpatient Minimum Database (VIMD) was conducted to analyse trends in prostatectomy rates in Victorian public acute-care hospitals from 1989/90 to 1994/95. The study also sought to identify predictors of adverse events (AE) after prostatectomy, and to compare in-hospital complications between open prostatectomy and transurethral resection of prostate (TURP).

Methods: All patients who had undergone any prostatectomy were identified according to the relevant ICD-9-CM procedure codes (60.2-60.4) documented in the VIMD. The main outcome measures, AE, were identified using the ICD-9-CM supplementary classification of external cause of injury (E850-858, E870-876, E878-879, E930-949). The variables used as predictors were year of prostatectomy, type of admission (planned, emergency), location of the hospital (rural, metropolitan), type of procedure (TURP, open), and teaching status of the hospital. Crude and adjusted odds ratios (OR) were based on univariate and multivariate logistic regression.

Results: The rates of prostatectomies have significantly increased over the 6-year study period (P for trend < 0.0001). The percentage of AE after prostatectomy increased simultaneously from 6.1 to 12.9% (P < 0.0001). During the same period, the in-hospital mortality rate after prostatectomy decreased from 1.2 to 0.5%, and length of stay decreased from 10.3 to 6.1 days (Kruskal-Wallis P < 0.0001). The significant predictors of outcome were year of prostatectomy (P for trend < 0.0001), emergency admissions (OR = 1.57; P < 0.0001), metropolitan hospitals (OR = 0.81; P = 0.0003), non-teaching hospitals (OR = 0.78; P < 0.0001), and open prostatectomy (OR = 1.52; P = 0.04). More in-hospital complications were associated with open prostatectomy than with TURP.

Conclusions: The rise in AE rate after prostatectomy is unlikely to reflect poor quality of care, because in the same period there was a significant decrease in in-hospital mortality after prostatectomy. A more likely explanation is heightened awareness of AE with a lower threshold for reporting such events. Important factors other than variations in quality of care can result in an increase in AE. Hence the reported increase should be interpreted with caution before attempting to conclude that changes in clinical practice could have a direct impact on these rates.

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