心理筛查算法预测脊柱手术结局的验证。
Validation of a Psychological Screening Algorithm for Predicting Spine Surgery Outcomes.
机构信息
1 Kent State University, Kent, OH, USA.
2 Texas Back Institute, Plano, TX, USA.
出版信息
Assessment. 2019 Jul;26(5):915-928. doi: 10.1177/1073191117719512. Epub 2017 Jul 13.
It is well established that psychological factors can affect spine surgery results. A widely utilized presurgical psychological screening (PPS) algorithm that combines established psychosocial risk factors to determine patients' likelihood of achieving successful spine surgery results is evaluated in this study. Patients ( = 603) underwent a PPS, including a diagnostic interview, psychometric testing, and review of medical records. The evaluator completed a PPS algorithm for patients, placing them into one of five prognosis categories, ranging from excellent to poor. For analysis purposes, these categories were collapsed into three prognosis groups: Excellent, Good, and Fair to Very Poor. Patients classified as having an Excellent prognosis achieved the best outcomes following surgery, whereas those in the Fair to Very Poor category obtained the worst results. Analyses of specific components of the PPS algorithm demonstrated that algorithm items were modestly associated with reduced spine surgery results. Implications for presurgical assessments of spine surgery candidates are discussed.
心理因素会影响脊柱手术的结果,这已经得到了充分证实。本研究评估了一种广泛应用的术前心理筛查(PPS)算法,该算法结合了已确立的社会心理风险因素,以确定患者取得成功脊柱手术结果的可能性。603 名患者接受了 PPS,包括诊断性访谈、心理测试和病历审查。评估者为每位患者完成了 PPS 算法,将他们分为五个预后类别之一,从优秀到很差。出于分析目的,这些类别被合并为三个预后组:优秀、良好和一般到非常差。被归类为预后优秀的患者在手术后取得了最佳效果,而预后一般到非常差的患者则获得了最差的结果。对 PPS 算法特定组件的分析表明,算法项目与脊柱手术结果降低有一定的相关性。讨论了该算法对脊柱手术候选者术前评估的意义。