Sileno Queiroz Fortes-Filho, Universidade de Sao Paulo Instituto de Ortopedia e Traumatologia, Sao Paulo, Brazil,
J Nutr Health Aging. 2020;24(1):113-118. doi: 10.1007/s12603-019-1279-6.
To evaluate the ability of the Short Physical Performance Battery (SPPB) for predicting 1-year adverse outcomes of acutely ill older outpatients.
Prospective study with 512 acutely ill older outpatients (79.4±8.3 years, 63% female) in an acute care day hospital. The SPPB was administered at admission. Participants were classified as low (0-4 points), intermediate (5-8 points), or high (9-12 points) performance. Primary outcomes were new dependence in basic activities of daily living (ADL), hospitalization, and death at 1 year. Cox models tested whether the SPPB predicted outcomes after adjustment for sociodemographic factors, comorbidities and well-known geriatric conditions. We also estimated whether the chair-stand and balance tests improve the SPPB's ability to identify patients at high risk of adverse outcomes.
Patients with intermediate or low SPPB performance were at higher risk of 1-year new ADL dependence (32% vs 13%: adjusted hazard ratio [aHR]=2.00; 95%CI=1.18-3.37; 58% vs 13%: aHR=3.40; 95%CI=2.00-5.85, respectively), hospitalization (43% vs 29%: aHR=1.56; 95%CI=1.04-2.33; 44% vs 29%: aHR=1.80; 95%CI=1.15-2.82), and death (18% vs 6%: aHR=2.54; 95%CI=1.17-5.53; 21% vs 6%: aHR=2.70; 95%CI=1.17-6.21). Use of all three components (versus gait speed alone) improved predictions of new ADL dependence (Harrell's C=0.73 vs 0.70;P=0.01), hospitalization (Harrell's C=0.60 vs 0.57;P=0.04), and death (Harrell's C=0.67 vs 0.62;P=0.04).
The SPPB is as a powerful tool for identifying acutely ill older outpatients at high-risk of adverse outcomes. The combination of the three components of the SPPB resulted in better predictive performance than gait speed alone.
评估短期体能电池测试(SPPB)预测急性病老年门诊患者 1 年不良结局的能力。
对急性护理日间医院的 512 名急性病老年门诊患者(79.4±8.3 岁,63%为女性)进行前瞻性研究。入院时进行 SPPB 测试。参与者分为低(0-4 分)、中(5-8 分)或高(9-12 分)表现组。主要结局为 1 年内新的日常生活活动(ADL)依赖、住院和死亡。Cox 模型测试 SPPB 是否在调整社会人口因素、合并症和公认的老年病况后预测结局。我们还估计了椅子站立和平衡测试是否提高了 SPPB 识别高风险不良结局患者的能力。
中或低 SPPB 表现的患者在 1 年内发生新的 ADL 依赖的风险更高(32% vs 13%:调整后的危险比[aHR]=2.00;95%CI=1.18-3.37;58% vs 13%:aHR=3.40;95%CI=2.00-5.85)、住院(43% vs 29%:aHR=1.56;95%CI=1.04-2.33;44% vs 29%:aHR=1.80;95%CI=1.15-2.82)和死亡(18% vs 6%:aHR=2.54;95%CI=1.17-5.53;21% vs 6%:aHR=2.70;95%CI=1.17-6.21)。所有三个组成部分(与步速单独使用相比)的使用都提高了新的 ADL 依赖的预测能力(Harrell 的 C 值=0.73 与 0.70;P=0.01)、住院(Harrell 的 C 值=0.60 与 0.57;P=0.04)和死亡(Harrell 的 C 值=0.67 与 0.62;P=0.04)。
SPPB 是一种强大的工具,可以识别出有发生不良结局高风险的急性病老年门诊患者。SPPB 的三个组成部分的组合比步速单独使用具有更好的预测性能。