Trajectory Modelling to Assess Trends in Long-Term Readmission Rate among Abdominal Aortic Aneurysm Patients.

Surgery Research and Practice Pub Date : 2018-10-21 eCollection Date: 2018-01-01 DOI:10.1155/2018/4321986
Ahsan Rao, Alex Bottle, Collin Bicknell, Ara Darzi, Paul Aylin
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引用次数: 0

Abstract

Introduction: The aim of the study was to use trajectory analysis to categorise high-impact users based on their long-term readmission rate and identify their predictors following AAA (abdominal aortic aneurysm) repair. Methods. In this retrospective cohort study, group-based trajectory modelling (GBTM) was performed on the patient cohort (2006-2009) identified through national administrative data from all NHS English hospitals. Proc Traj software was used in SAS program to conduct GBTM, which classified patient population into groups based on their annual readmission rates during a 5-year period following primary AAA repair. Based on the trends of readmission rates, patients were classified into low- and high-impact users. The high-impact group had a higher annual readmission rate throughout 5-year follow-up. Short-term high-impact users had initial high readmission rate followed by rapid decline, whereas chronic high-impact users continued to have high readmission rate.

Results: Based on the trends in readmission rates, GBTM classified elective AAA repair (n=16,973) patients into 2 groups: low impact (82.0%) and high impact (18.0%). High-impact users were significantly associated with female sex (P=0.001) undergoing other vascular procedures (P=0.003), poor socioeconomic status index (P < 0.001), older age (P < 0.001), and higher comorbidity score (P < 0.001). The AUC for c-statistics was 0.84. Patients with ruptured AAA repair (n=4144) had 3 groups: low impact (82.7%), short-term high impact (7.2%), and chronic high impact (10.1%). Chronic high impact users were significantly associated with renal failure (P < 0.001), heart failure (P = 0.01), peripheral vascular disease (P < 0.001), female sex (P = 0.02), open repair (P < 0.001), and undergoing other related procedures (P=0.05). The AUC for c-statistics was 0.71.

Conclusion: Patients with persistent high readmission rates exist among AAA population; however, their readmissions and mortality are not related to AAA repair. They may benefit from optimization of their medical management of comorbidities perioperatively and during their follow-up.

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用轨迹模型评估腹主动脉瘤患者长期再入院率的趋势。
本研究的目的是利用轨迹分析对高影响患者进行分类,基于他们的长期再入院率,并确定他们在AAA(腹主动脉瘤)修复后的预测因素。方法。在这项回顾性队列研究中,对通过英国所有NHS医院的国家行政数据确定的患者队列(2006-2009)进行了基于组的轨迹建模(GBTM)。SAS程序中使用Proc Traj软件进行GBTM,该程序根据患者在初级AAA修复后5年期间的年再入院率将患者分组。根据再入院率的趋势,将患者分为低影响使用者和高影响使用者。在5年随访期间,高影响组的年再入院率较高。短期高影响力用户初始再入院率高,随后迅速下降,而长期高影响力用户继续保持高再入院率。结果:根据再入院率趋势,GBTM将择期AAA修复患者(n= 16973)分为低影响组(82.0%)和高影响组(18.0%)。高影响使用者与女性(P=0.001)接受其他血管手术(P=0.003)、社会经济地位指数较差(P < 0.001)、年龄较大(P < 0.001)和较高的合并症评分(P < 0.001)显著相关。c-statistics的AUC为0.84。AAA修复破裂患者(n=4144)分为3组:低冲击(82.7%)、短期高冲击(7.2%)和慢性高冲击(10.1%)。慢性高影响使用者与肾功能衰竭(P < 0.001)、心力衰竭(P= 0.01)、外周血管疾病(P < 0.001)、女性(P= 0.02)、开放式修复(P < 0.001)和接受其他相关手术(P=0.05)显著相关。c-statistics的AUC为0.71。结论:AAA人群存在持续高再入院率;然而,他们的再入院率和死亡率与AAA修复无关。他们可能受益于围手术期和随访期间合并症的医疗管理优化。
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来源期刊
自引率
0.00%
发文量
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期刊介绍: Surgery Research and Practice is a peer-reviewed, Open Access journal that provides a forum for surgeons and the surgical research community. The journal publishes original research articles, review articles, and clinical studies focusing on clinical and laboratory research relevant to surgical practice and teaching, with an emphasis on findings directly affecting surgical management.
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