Wallace Emma, McDowell Ronald, Bennett Kathleen, Fahey Tom, Smith Susan M
HRB Centre for Primary Care Research, Royal College of Surgeons in Ireland (RCSI), 123 Stephen's green, Dublin 2, Ireland.
Population Health Sciences Division, Royal College of Surgeons of Ireland (RCSI), Dublin 2, Ireland.
BMC Geriatr. 2017 Mar 20;17(1):69. doi: 10.1186/s12877-017-0460-1.
Prospective external validation of the Vulnerable Elder's Survey (VES-13) in primary care remains limited. The aim of this study is to externally validate the VES-13 in predicting mortality and emergency admission in older community-dwelling adults.
Design: Prospective cohort study with 2 years follow-up (2010-2012).
15 General Practices (GPs) in the Republic of Ireland.
n = 862, aged ≥70 years, community-dwellers Exposure: VES-13 calculated at baseline, where a score of ≥3 denoted high risk.
i) Mortality; ii) ≥1 Emergency admission and ≥1 ambulatory care sensitive (ACS) admission over 2 years.
Descriptive statistics, model discrimination (c-statistic) and sensitivity/specificity.
Of 862 study participants, a total of 246 (38%) were classified as vulnerable at baseline. Fifty-three (6%) died during follow-up and 246 (29%) had an emergency admission. At the VES-13 cut-point of ≥3 denoting high-risk model discrimination was poor for mortality (c-statistic: 0.61 (95% CI 0.54, 0.67), ≥1 emergency admission (c-statistic: 0.59 (95% CI 0.56, 0.63) and ≥1 ACS emergency admission (c-statistic: 0.63 (95% CI 0.60, 0.67).
In this study the VES-13 demonstrated relatively limited predictive accuracy in predicting mortality and emergency admission. External validation studies examining the tool in different health settings and healthier populations are needed and represent an interesting area for future research.
初级保健中脆弱老年人调查(VES-13)的前瞻性外部验证仍然有限。本研究的目的是对VES-13在预测社区居住的老年人死亡率和急诊入院方面进行外部验证。
设计:前瞻性队列研究,随访2年(2010 - 2012年)。
爱尔兰共和国的15家全科诊所。
n = 862名,年龄≥70岁,社区居民。暴露因素:基线时计算的VES-13,得分≥3表示高风险。
i)死亡率;ii)2年内≥1次急诊入院和≥1次门诊护理敏感(ACS)入院。
描述性统计、模型判别(c统计量)和敏感性/特异性。
862名研究参与者中,共有246名(38%)在基线时被归类为脆弱人群。53名(6%)在随访期间死亡,246名(29%)有急诊入院。在VES-13的≥3这一高风险切点处,该模型对死亡率的判别效果较差(c统计量:0.61(95%可信区间0.54, 0.67)),对≥1次急诊入院的判别效果也较差(c统计量:0.59(95%可信区间0.56, 0.63)),对≥1次ACS急诊入院的判别效果同样较差(c统计量:0.63(95%可信区间0.60, 0.67))。
在本研究中,VES-13在预测死亡率和急诊入院方面表现出相对有限的预测准确性。需要在不同健康环境和更健康人群中对该工具进行外部验证研究,这是未来研究的一个有趣领域。