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哪些因素与肢体延长术后的住院时间和再入院相关?一项大型数据库研究。

What Factors Correlate With Length of Stay and Readmission After Limb Lengthening Procedures? A Large-database Study.

机构信息

Department of Orthopaedic Surgery, St. Mary's Medical Center, San Francisco, CA, USA.

Department of Orthopaedic Surgery, University of California, San Francisco, San Francisco, CA, USA.

出版信息

Clin Orthop Relat Res. 2022 Sep 1;480(9):1754-1763. doi: 10.1097/CORR.0000000000002201. Epub 2022 Mar 30.

Abstract

BACKGROUND

Indications and techniques for limb lengthening procedures have evolved over the past two decades. Although there are several case series reporting on the complications and efficacy of these techniques, limited data are available on length of stay and hospital readmission rates after these procedures.

QUESTIONS/PURPOSES: (1) What is the median length of stay after lower limb lengthening procedures, and is variability in patient demographics, preoperative diagnosis, and surgical technique associated with length of stay? (2) What is the 1-year readmission rate after lower limb lengthening procedures? (3) Is variability in patient demographics, preoperative diagnosis, and surgical technique associated with varying rates of hospital readmission?

METHODS

Patients who underwent femoral or tibial lengthening from 2005 to 2015 in seven states were identified using the Healthcare Cost and Utilization Project (HCUP) State Inpatient Databases. These databases include a large, diverse group of patients across a wide range of hospitals and socioeconomic backgrounds with inclusion of patients regardless of payer. Between 2005 and 2015, there were 3979 inpatient admissions that were identified as involving femoral and/or tibial lengthening procedures based on ICD-9 procedure codes; of those, 2% (97 of 3979) of the inpatient admissions were excluded from analysis because they had ICD-9 procedure codes for primary or revision hip or knee arthroplasty, and 10% (394 of 3979) of the inpatient admissions were excluded because they involved repeated admissions of patients with previous hospitalization data within the database. This yielded 3488 patients for analysis. The median (interquartile range) age of patients was 18 years (12 to 41), and 42% (1481 of 3488) of patients were women. A total of 49% (1705 of 3469) of patients were children (younger than 18 years), 19% (675 of 3469) were young adults (18 to 34 years), 24% (817 of 3469) were adults (35 to 59 years), and 8% (272 of 3469) were seniors (60 years and older). Length of stay and rates of readmission at 1 year after the lengthening procedure were calculated. Univariate analysis was performed to examine associations between age, race, payment method, underlying diagnosis, bone lengthened, and lengthening technique with length of stay and readmission rate. Factors found to be significantly associated with the outcome variables (p < 0.05) were further examined with a multivariate analyses.

RESULTS

Included patients had a median (IQR) length of hospital stay of 3 days (2 to 4). Given the poor explanatory power of the multivariate model for length of stay (R 2 = 0.03), no meaningful correlations could be drawn between age, race, underlying diagnosis, lengthening technique, and length of stay. The overall 1-year readmission rate was 35% (1237 of 3488). There were higher readmission rates among adult patients compared with pediatric patients (odds ratio 1.78 [95% confidence interval 1.46 to 2.18]; p < 0.001), patients with government insurance compared with commercial insurance (OR 1.28 [95% CI 1.05 to 1.54]; p = 0.01), and patients undergoing lengthening via external fixation (OR 1.61 [95% CI 1.29 to 2.02]; p < 0.001) or hybrid fixation (OR 1.81 [95% CI 1.38 to 2.37]; p < 0.001) compared with lengthening with internal fixation only.

CONCLUSION

When counseling patients who may be candidates for limb lengthening, providers should inform individual patients and their caretakers on the anticipated length of hospital stay and likelihood of hospital readmission based on our findings. Adult patients, those with government insurance, and patients undergoing hybrid or external fixator limb lengthening procedures should be advised that they are at greater risk for hospital readmission. The relationship of specific patient-related factors (such as severity of deformity or associated comorbidities) and treatment-related variables (such as amount of lengthening, compliance with physical therapy, or surgeon's experience) with clinical outcomes after lower limb lengthening and the burden of care associated with hospital readmission needs further study.

LEVEL OF EVIDENCE

Level III, therapeutic study.

摘要

背景

肢体重建术的适应证和技术在过去二十年中已经发生了变化。尽管有几项病例系列报告了这些技术的并发症和疗效,但关于这些手术后的住院时间和再入院率的数据有限。

问题/目的:(1)下肢延长手术后的中位住院时间是多少,患者的人口统计学特征、术前诊断和手术技术的差异是否与住院时间有关?(2)下肢延长手术后 1 年的再入院率是多少?(3)患者的人口统计学特征、术前诊断和手术技术的差异是否与不同的再入院率有关?

方法

利用医疗保健成本和利用项目(HCUP)州际住院数据库,确定了来自七个州的股骨或胫骨延长患者。这些数据库包括了来自广泛医院和社会经济背景的大量不同患者,无论支付方式如何,都包括了患者。在 2005 年至 2015 年期间,根据 ICD-9 手术代码,共有 3979 例住院患者被确定为涉及股骨和/或胫骨延长手术;其中,2%(97/3979)的住院患者因 ICD-9 手术代码为原发性或翻修髋关节或膝关节置换术而被排除在分析之外,10%(394/3979)的住院患者因数据库中先前住院数据的重复入院而被排除。这产生了 3488 名患者进行分析。患者的中位(四分位间距)年龄为 18 岁(12 至 41 岁),42%(3488 名患者中的 1481 名)为女性。共有 49%(3469 名患者中的 1705 名)为儿童(小于 18 岁),19%(3469 名患者中的 675 名)为年轻人(18 至 34 岁),24%(3469 名患者中的 817 名)为成年人(35 至 59 岁),8%(3469 名患者中的 272 名)为老年人(60 岁及以上)。计算了延长手术后 1 年的住院时间和再入院率。进行了单变量分析,以检查年龄、种族、支付方式、基础诊断、骨骼延长和延长技术与住院时间和再入院率之间的关系。对与结局变量显著相关的因素(p < 0.05)进行了多变量分析。

结果

纳入的患者中位(IQR)住院时间为 3 天(2 至 4 天)。鉴于多变量模型对住院时间的解释能力较差(R 2 = 0.03),因此无法根据年龄、种族、基础诊断、延长技术与住院时间之间建立有意义的相关性。总的 1 年再入院率为 35%(3488 名患者中的 1237 名)。与儿科患者相比,成年患者的再入院率更高(优势比 1.78 [95%置信区间 1.46 至 2.18];p < 0.001),与商业保险相比,政府保险的患者(优势比 1.28 [95%置信区间 1.05 至 1.54];p = 0.01),以及接受外部固定(优势比 1.61 [95%置信区间 1.29 至 2.02];p < 0.001)或混合固定(优势比 1.81 [95%置信区间 1.38 至 2.37];p < 0.001)延长的患者与仅接受内部固定延长的患者相比,再入院率更高。

结论

在为可能成为肢体重建术候选者的患者提供咨询时,根据我们的研究结果,应告知患者及其护理人员预期的住院时间和再入院的可能性。成年患者、政府保险患者和接受混合或外固定器肢体延长手术的患者应被告知,他们有更高的再入院风险。需要进一步研究下肢延长后与临床结局相关的特定患者相关因素(如畸形严重程度或相关合并症)和治疗相关变量(如延长量、物理治疗依从性或外科医生的经验)与再入院负担之间的关系。

证据水平

III 级,治疗性研究。

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