Division of General Surgery, Department of Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Division of General Surgery, Department of Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Am J Surg. 2019 Jul;218(1):77-81. doi: 10.1016/j.amjsurg.2018.10.052. Epub 2018 Nov 14.
The geriatrics population can no longer be considered as one homogenous group when it comes to patient-centric and value-based care. We aim to determine if there are pre-operative factors which differ between geriatric age strata (65-74, 75-84, 85 + years) that impact unplanned thirty-day readmission.
2015 NSQIP general surgery procedure data was utilized. Chi Square and t-tests were utilized to see if certain pre-operative factors impacted readmission. Regressions with age strata as an interaction term were run to determine if age was an effect-modifier. Significant pre-operative factors were included in a multivariate model with step-wise selection for significant age-stratification interaction terms.
Gender, inpatient status, wound classification, disseminated cancer, origin status, functional status, and RVU were significantly impacted by age strata in unadjusted models. Gender, inpatient status, emergency, and transfer/origin status were significant in our adjusted model.
Exogenous variables between age strata significantly impact unplanned thirty-day readmission in comparison to differing co-morbidity and symptomatology.
在以患者为中心和注重价值的医疗服务中,老年人群体不能再被视为同质群体。我们旨在确定是否存在术前因素在老年年龄层(65-74 岁、75-84 岁、85 岁及以上)之间存在差异,这些因素会影响三十天内非计划性再入院。
利用 2015 年 NSQIP 普通外科手术数据。利用卡方检验和 t 检验来确定是否有某些术前因素会影响再入院。使用年龄分层作为交互项的回归来确定年龄是否是一个效应修饰因素。将具有显著术前因素的患者纳入多变量模型中,使用逐步选择法来确定年龄分层交互项是否有统计学意义。
在未调整模型中,性别、住院状态、伤口分类、转移性癌症、来源状态、功能状态和 RVU 均受年龄分层的显著影响。在调整模型中,性别、住院状态、急诊和转移/来源状态是显著的。
与不同的合并症和症状相比,年龄分层之间的外生变量显著影响三十天内非计划性再入院。