Mitchell Robert E, Lee Byron T, Cookson Michael S, Barocas Daniel A, Herrell S Duke, Clark Peter E, Smith Joseph A, Chang Sam S
Department of Urologic Surgery, Vanderbilt University Medical Center, Nashville, Tennessee 37232, USA.
BJU Int. 2009 Nov;104(10):1442-5. doi: 10.1111/j.1464-410X.2009.08794.x. Epub 2009 Aug 13.
To determine the impact of hospital variables on immediate surgical outcomes for patients treated with radical prostatectomy (RP) in academic centres.
The University HealthSystem Consortium (UHC) Clinical Data Base was queried for data corresponding to patients who had RP at one of 130 academic medical centres nationwide between 2003 and the second quarter of 2007 (48,086). RP case volume (1-99, 100-499 and >500), total discharges (1-49,999, 50,000-99,999 >100,000), and geographical region (five categories) were determined and categorized for each academic centre. Analysis of variance and the Tukey statistic were used to assess the results. Length of stay (LOS), intensive care unit (ICU) rate, complication rate (CR) and in-hospital mortality (IHM) were analysed.
Case volume was a significant predictor of LOS, ICU and CR. The mean LOS was 3.77, 2.65 and 2.09 days, respectively, for centres from three tiers of lowest to highest case volumes (P < 0.001). ICU rates for the three tiers were 18.57, 3.61, and 1.30 (P < 0.001); CRs were 15.93, 8.79 and 5.76 (P < 0.001). Tukey analysis showed a 'ceiling' effect for ICU and CRs; there were no differences between the two higher case-volume groups. IHM was not significantly different between groups stratified by case volume. Stratification by total discharges showed differences in ICU rates only (P = 0.003). Stratification by geographical region showed no differences in outcome.
RP case volume was an important variable in predicting three of the four outcome variables. CRs and ICU rates showed a 'ceiling effect' suggesting that an unknown 'critical volume' of cases portends improved surgical outcomes.
确定医院相关变量对学术中心接受根治性前列腺切除术(RP)患者近期手术结局的影响。
查询大学卫生系统联盟(UHC)临床数据库,获取2003年至2007年第二季度期间全国130家学术医疗中心之一接受RP治疗患者的数据(共48,086例)。确定并对每个学术中心的RP病例数量(1 - 99、100 - 499和>500)、总出院人数(1 - 49,999、50,000 - 99,999、>100,000)以及地理区域(五类)进行分类。采用方差分析和Tukey统计量评估结果。分析住院时间(LOS)、重症监护病房(ICU)使用率、并发症发生率(CR)和院内死亡率(IHM)。
病例数量是LOS、ICU使用率和CR的重要预测因素。病例数量从最低到最高的三个层级中心的平均LOS分别为3.77天、2.65天和2.09天(P < 0.001)。三个层级的ICU使用率分别为18.57、3.61和1.30(P < 0.001);CR分别为15.93、8.79和5.76(P < 0.001)。Tukey分析显示ICU使用率和CR存在“天花板效应”;两个较高病例数量组之间无差异。按病例数量分层的组间IHM无显著差异。按总出院人数分层仅显示ICU使用率存在差异(P = 0.003)。按地理区域分层显示结局无差异。
RP病例数量是预测四个结局变量中三个变量的重要因素。CR和ICU使用率显示出“天花板效应”,表明存在一个未知的病例“临界数量”预示着手术结局改善。