Department of Surgery, The Johns Hopkins University School of Medicine, Baltimore, MD.
Ann Surg. 2020 Jan;271(1):114-121. doi: 10.1097/SLA.0000000000002851.
The purpose of this study was to evaluate the impact of optimization of preoperative comorbidities by nonsurgical clinicians on short-term postoperative outcomes.
Preoperative comorbidities can have substantial effects on operative risk and outcomes. The modifiability of these comorbidity-associated surgical risks remains poorly understood.
We identified patients with a major comorbidity (eg, diabetes, heart failure) undergoing an elective colectomy in a multipayer national administrative database (2010-2014). Patients were included if they could be matched to a preoperative surgical clinic visit within 90 days of an operative intervention by the same surgeon. The explanatory variable of interest ("preoperative optimization") was defined by whether the patient was seen by an appropriate nonsurgical clinician between surgical consultation and subsequent surgery. We assessed the impact of an optimization visit on postoperative complications with use of propensity score matching and multilevel, multivariable logistic regression.
We identified 4531 colectomy patients with a major potentially modifiable comorbidity (propensity weighted and matched effective sample size: 6037). After matching, the group without an optimization visit had a higher rate of complications (34.6% versus 29.7%, P = 0.001). An optimization visit conferred a 31% reduction in the odds of a complication (P < 0.001) in an adjusted analysis. Median preoperative costs increased by $684 (P < 0.001) in the optimized group, and a complication increased total costs of care by $14,724 (P < 0.001).
We demonstrated an association between use of nonsurgical clinician visits by comorbid patients prior to surgery and a significantly lower rate of complications. These findings support the prospective study of preoperative optimization as a potential mechanism for improving postoperative outcomes.
本研究旨在评估非外科临床医生优化术前合并症对短期术后结局的影响。
术前合并症会对手术风险和结果产生重大影响。这些与合并症相关的手术风险的可改变性仍知之甚少。
我们在一个多付款方国家行政数据库中确定了患有主要合并症(如糖尿病、心力衰竭)的择期结肠切除术患者(2010-2014 年)。如果患者在同一位外科医生的手术干预后 90 天内可以与术前外科诊所就诊相匹配,则将其纳入研究。感兴趣的解释变量(“术前优化”)定义为患者在外科咨询和随后手术之间是否由适当的非外科临床医生就诊。我们使用倾向评分匹配和多层次、多变量逻辑回归评估优化就诊对术后并发症的影响。
我们确定了 4531 例患有主要潜在可改变合并症的结肠切除术患者(倾向加权和匹配的有效样本量:6037 例)。匹配后,未进行优化就诊的组并发症发生率更高(34.6%比 29.7%,P = 0.001)。调整分析显示,优化就诊可使并发症的发生几率降低 31%(P < 0.001)。优化组的术前平均成本增加了 684 美元(P < 0.001),并发症使总医疗费用增加了 14724 美元(P < 0.001)。
我们证明了术前合并症患者接受非外科临床医生就诊与并发症发生率显著降低之间存在关联。这些发现支持前瞻性研究术前优化作为改善术后结局的潜在机制。