医院老年快速评估量表——一种新的衰弱筛查诊断工具

N. Vorobyeva, I. Malaya, G. Semochkina, Y. Kotovskaya, N. Sharashkina, N. Runikhina, O. Tkacheva
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摘要

背景。短物理性能电池(SPPB)被认为是虚弱的标准筛选测试,然而它所要求的某些条件通常是无法达到的。目的:编制医院老年快速评估量表(HRGAS)并评价其在衰弱筛查中的诊断价值。材料和方法。采用我们特别设计的算法(HRGAS)对408例年龄在60-95岁(中位73岁)的连续住院患者(23%男性)进行了检查,该算法包括9个项目:1)年龄;2) Mini-Cog试验;3)短期抑郁评价;4)测力法;(五)过去一年下跌;6)流动性;7)自馈能力;8)尿失禁;9)体重指数。年龄得分从0到3,其他项目得分从0到2。分数总和最小为0,最大为- 19。评估时间约为5分钟。作为对照,采用SPPB进行衰弱筛查。将HRGAS结果与SPPB结果进行比较。结果。基于SPPB,虚弱率为46.3%,虚弱前期为26%,健壮期为27.7%。HRGAS评分范围为0 ~ 14(中位数为4,IQR为2 ~ 6),与SPPB评分呈负相关(rS = -0,63;p < 0001)。对于脆弱检测(SPPB评分0-7),roc分析显示AUC为0.815 (95% CI为0.774 - 0.856),p< 0.001,临界值≥5,敏感性67.2%,特异性81.3%,阳性预后值(PPV) 76.5%,阴性预后值(NPV) 74.2%,诊断准确性74.8%。对于稳健检测(SPPB评分10-12),roc分析显示AUC为0,805 (95% CI为0,761-0,849),p<0,001,临界值≤2,敏感性55.8%,特异性84.1%,PPV为57.3%,NPV为83,2%,诊断准确性76.2%。结论。我们开发了HRGAS,并计算了其临界值来识别和排除虚弱综合征:HRGAS评分0-2分表示强壮,评分3-4分表示虚弱前期,评分≥5分表示虚弱患者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hospital Rapid Geriatric Assessment Scale — a new diagnostic tool for frailty screening
Background. The Short Physical Performance Battery (SPPB) is considered a standard screening test for frailty, however certain conditions it requires are frequently inaccessible.Aim. To develop Hospital Rapid Geriatric Assessment Scale (HRGAS) and to evaluate its diagnostic value in frailty screening.  Materials and methods. 408 sequentially hospitalized patients (23% male) aged 60–95 (median 73) years were examined using our specially designed algorithm (HRGAS) that includes 9 items: 1) age; 2) Mini-Cog test; 3) short depression assessment; 4) dynamometry; 5) falls in the past year; 6) mobility; 7) self-feeding ability; 8) urinary incontinence; 9) body mass index. The results were scored from 0 to 3 for age and from 0 to 2 for all other items. Minimum score sum is 0, maximum — 19. Assessment time was approximately 5 minutes. As control SPPB was used for frailty screening. The HRGAS results were compared with SPPB. Results. Based on SPPB, frailty rate was 46,3%, pre-frail — 26%, robust — 27,7%. HRGAS score was ranged from 0 to 14 (median 4, IQR 2–6) and negatively correlated to SPPB score (rS = -0,63; p<0,001). For frailty detection (SPPB score 0–7), ROC-analysis showed AUC 0,815 (95% CI 0,774–0,856), p<0,001, cut-off value ≥5, sensitivity 67,2%, specificity 81,3%, positive prognostic value (PPV) 76,5%, negative prognostic value (NPV) 74,2%, diagnostic accuracy 74,8%. For robust detection (SPPB score 10–12), ROC-analysis showed AUC 0,805 (95% CI 0,761–0,849), p<0,001, cut-off value ≤2, sensitivity 55,8%, specificity 84,1%, PPV 57,3%, NPV 83,2%, diagnostic accuracy 76,2%.  Conclusion. We developed HRGAS and calculated its cut-off values to identify and rule out frailty syndrome: score 0–2 by HRGAS indicate robust, score 3–4 — pre-frail and score ≥5 — frail patients.
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