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美国泌尿外科假体手术后再入院情况分析:病因、成本及预测因素的全国代表性估计

Analysis of Hospital Readmissions After Prosthetic Urologic Surgery in the United States: Nationally Representative Estimates of Causes, Costs, and Predictive Factors.

作者信息

Pederzoli Filippo, Chappidi Meera R, Collica Sarah, Kates Max, Joice Gregory A, Sopko Nikolai A, Montorsi Francesco, Salonia Andrea, Bivalacqua Trinity J

机构信息

Division of Experimental Oncology, Unit of Urology, URI, Vita-Salute San Raffaele University, IRCCS Ospedale San Raffaele, Milan, Italy; James Buchanan Brady Urological Institute, The Johns Hopkins School of Medicine, Baltimore, MD, USA.

James Buchanan Brady Urological Institute, The Johns Hopkins School of Medicine, Baltimore, MD, USA.

出版信息

J Sex Med. 2017 Aug;14(8):1059-1065. doi: 10.1016/j.jsxm.2017.06.003. Epub 2017 Jul 12.

DOI:10.1016/j.jsxm.2017.06.003
PMID:28709874
Abstract

BACKGROUND

The surgical treatment of urinary incontinence and erectile dysfunction by prosthetic devices has become part of urologic practice, although sparse data exist at a national level on readmissions and hospital costs.

AIM

To assess causes and costs of early (≤30 days) and late (31-90 days) readmissions after implantation of penile prostheses (PPs), artificial urinary sphincters (AUSs), or PP + AUS.

METHODS

Using the 2013 and 2014 US Nationwide Readmission Databases, sociodemographic characteristics, hospital costs, and causes of readmission were compared among PP, AUS and AUS + PP surgeries. Multivariable logistic regression models tested possible predictors of hospital readmission (early, late, and 90 days), increased hospital costs, and prolonged length of stay at initial hospitalization and readmission.

OUTCOME

Outcomes were rates, causes, hospital costs, and predictive factors of early, late, and any 90-day readmissions.

RESULTS

Of 3,620 patients, 2,626 (73%) had PP implantation, 920 (25%) had AUS implantation, and 74 (2%) underwent PP + AUS placement. In patients undergoing PP, AUS, or PP + AUS placement, 30-day (6.3% vs 7.9% vs <15.0%, P = .5) and 90-day (11.6% vs 12.8% vs <15.0%, P = .8) readmission rates were comparable. Early readmissions were more frequently caused by wound complications compared with late readmissions (10.9% vs <4%, P = .03). Multivariable models identified longer length of stay, Charlson Comorbidity Index score higher than 0, complicated diabetes, and discharge not to home as predictors of 90-day readmissions. Notably, hospital volume was not a predictor of early, late, or any 90-day readmissions. However, within the subset of high-volume hospitals, each additional procedure was associated with increased risk of late (odds ratio = 1.06, 95% CI = 1.03-1.09, P < .001) and 90-day (odds ratio = 1.03 95% CI = 1.02-1.05, P < .001) readmissions. AUS and PP + AUS surgeries had higher initial hospitalization costs (P < .001). A high hospital prosthetic volume decreased costs at initial hospitalization. Mechanical complications led to readmission of all patients receiving PP + AUS.

CLINICAL IMPLICATIONS

High-volume hospitals showed a weaker association with increased initial hospitalization costs. Charlson Comorbidity Index, diabetes, and length of stay were predictors of 90-day readmission, showing that comorbidity status is important for surgical candidacy.

STRENGTHS AND LIMITATIONS

This is the first study focusing on readmissions and costs after PP, AUS, and PP + AUS surgeries using a national database, which allows ascertainment of readmissions to hospitals that did not perform the initial surgery. Limitations are related to the limited geographic coverage of the database and lack of surgery- and surgeon-specific variables.

CONCLUSIONS

Analysis of readmissions can provide better care for urologic prosthetic surgeries through better preoperative optimization, counseling, and resource allocation. Pederzoli F, Chappidi MR, Collica S, et al. Analysis of Hospital Readmissions After Prosthetic Urologic Surgery in the United States: Nationally Representative Estimates of Causes, Costs, and Predictive Factors. J Sex Med 2017;14:1059-1065.

摘要

背景

尽管国家层面关于再入院率和住院费用的数据稀少,但使用假体装置治疗尿失禁和勃起功能障碍已成为泌尿外科临床实践的一部分。

目的

评估阴茎假体(PP)、人工尿道括约肌(AUS)或PP + AUS植入术后早期(≤30天)和晚期(31 - 90天)再入院的原因及费用。

方法

利用2013年和2014年美国全国再入院数据库,比较PP、AUS和AUS + PP手术患者的社会人口统计学特征、住院费用及再入院原因。多变量逻辑回归模型检验了医院再入院(早期、晚期和90天)、住院费用增加以及初次住院和再入院时住院时间延长的可能预测因素。

结果

在3620例患者中,2626例(73%)接受了PP植入,920例(25%)接受了AUS植入,74例(2%)接受了PP + AUS植入。接受PP、AUS或PP + AUS植入的患者,30天(6.3%对7.9%对<15.0%,P = 0.5)和90天(11.6%对12.8%对<15.0%,P = 0.8)再入院率相当。与晚期再入院相比,早期再入院更常见的原因是伤口并发症(10.9%对<4%,P = 0.03)。多变量模型确定住院时间延长(Charlson合并症指数评分高于0)、复杂糖尿病以及出院后未回家是90天再入院的预测因素。值得注意的是,医院手术量不是早期、晚期或任何90天再入院的预测因素。然而,在高手术量医院亚组中,每增加一例手术与晚期(优势比 = 1.06,95%可信区间 = 1.03 - 1.09,P < 0.001)和90天(优势比 = 1.03,9�%可信区间 = 1.02 - 1.05,P < 0.001)再入院风险增加相关。AUS和PP + AUS手术的初次住院费用更高(P < 0.001)。医院假体手术量高可降低初次住院费用。机械并发症导致所有接受PP + AUS的患者再入院。

临床意义

高手术量医院与初次住院费用增加的关联较弱。Charlson合并症指数、糖尿病和住院时间是90天再入院的预测因素,表明合并症状态对手术候选资格很重要。

优点和局限性

这是第一项使用全国数据库关注PP、AUS和PP + AUS手术后再入院率和费用的研究,该数据库可确定未进行初次手术医院的再入院情况。局限性与数据库有限的地理覆盖范围以及缺乏手术和外科医生特定变量有关。

结论

通过更好的术前优化、咨询和资源分配,再入院分析可为泌尿外科假体手术提供更好的护理。Pederzoli F,Chappidi MR,Collica S等。美国泌尿外科假体手术后医院再入院分析:原因、费用和预测因素的全国代表性估计。《性医学杂志》2017;14:1059 - 1065。

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