Research Laboratory on Human Aging - GeronLab, Internal Medicine Department, Faculty of Medical Sciences, State University of Rio de Janeiro, Rio de Janeiro, Brazil.
Department of Medicine, Pontifical Catholic University, Rio de Janeiro, Brazil.
Geriatr Gerontol Int. 2020 Apr;20(4):360-365. doi: 10.1111/ggi.13867. Epub 2020 Jan 28.
To evaluate the Probability of Repeated Admission (Pra) scale performance in predicting healthcare utilization and death in a community sample of Rio de Janeiro city, Brazil.
This was a prospective longitudinal study. The sample was composed of community-dwelling older people who participated in the research network Frailty in Brazilian Older People Study, Rio de Janeiro section. It analyzed data from the baseline and the follow up. At the baseline, 764 older adults were stratified by the Pra, and, 3 years later, data on health services utilization and survival status were collected. The Pra accuracy, obtained by the area under the curve, the sensitivity and the specificity to predict hospitalization in 3 years; visits to the emergency department; and death were determined. Cox regression estimated the survival curves, according to the risk strata.
The accuracy, the sensitivity and the specificity of Pra were 62% (95% CI 57-68%), 8.8% and 95.4% for hospitalization in 3 years; 59% (95% CI 53-64%), 8.3% and 94.8% for emergency room visits; 66% (95% CI 59-74%) and 68% (95% CI 63-73%), 15.0% and 96.0% for death. Survival curves showed that high-risk individuals were more likely to die compared with the low-risk individuals, adjusted to covariables (P < 0.001).
The Pra presented low accuracy, low sensitivity and high specificity for all outcomes observed, indicating a poor performance to screen vulnerable older adults in Brazil. Therefore, this tool should not be used alone, as a case-finding instrument. Geriatr Gerontol Int 2020; 20: 360-365.
评估巴西里约热内卢市社区样本中预测医疗保健利用和死亡的再入院概率(Pra)量表的性能。
这是一项前瞻性纵向研究。该样本由参与巴西老年人脆弱性研究网络研究的社区居住老年人组成,里约热内卢部分。它分析了基线和随访的数据。在基线时,764 名老年人根据 Pra 进行分层,3 年后收集了卫生服务利用和生存状况的数据。通过曲线下面积、敏感性和特异性来确定 Pra 在 3 年内预测住院、急诊就诊和死亡的准确性。Cox 回归估计了根据风险分层的生存曲线。
Pra 的准确性、敏感性和特异性分别为 62%(95%CI 57-68%)、8.8%和 95.4%,预测 3 年内住院;59%(95%CI 53-64%)、8.3%和 94.8%,预测急诊就诊;66%(95%CI 59-74%)和 68%(95%CI 63-73%),预测死亡。生存曲线显示,与低危个体相比,高危个体更有可能死亡,调整了协变量(P<0.001)。
Pra 对所有观察到的结果的准确性低、敏感性低和特异性高,表明该工具在筛查巴西脆弱老年人方面表现不佳。因此,该工具不应单独用作病例发现工具。老年医学与老年病学国际 2020;20:360-365.