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External validation of the Vulnerable Elder’s Survey for predicting mortality and emergency admission in older community-dwelling people: a prospective cohort study

机译:弱势老年人调查的外部验证可预测社区老年人的死亡率和紧急入院:一项前瞻性队列研究

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Background 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. Methods Design: Prospective cohort study with 2 years follow-up (2010–2012). Setting: 15 General Practices (GPs) in the Republic of Ireland. Participants: n =?862, aged ≥70?years, community-dwellers Exposure: VES-13 calculated at baseline, where a score of ≥3 denoted high risk. Outcomes: i) Mortality; ii) ≥1 Emergency admission and ≥1 ambulatory care sensitive (ACS) admission over 2?years. Statistical analysis: Descriptive statistics, model discrimination (c-statistic) and sensitivity/specificity. Results 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). Conclusions 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.
机译:背景技术对初级保健中的弱势老年人调查(VES-13)的前瞻性外部验证仍然有限。这项研究的目的是从外部验证VES-13在预测老年社区居民的死亡率和紧急入院率方面的作用。方法设计:前瞻性队列研究,随访2年(2010-2012年)。地点:爱尔兰共和国的15个通用规范(GPs)。参与者:n =?862,年龄≥70岁,社区居民暴露:VES-13是在基线时计算得出的,其中得分≥3表示高风险。结果:i)死亡率; ii)2年内≥1次紧急入院和≥1次门诊敏感(ACS)入院。统计分析:描述性统计,模型鉴别(c统计)和敏感性/特异性。结果在862名研究参与者中,共有246名(38%)被归类为基线脆弱人群。随访期间死亡53例(6%),紧急入院者246例(29%)。在VES-13切入点≥3时,表示高风险模型的判别死亡率很低(c统计:0.61(95%CI 0.54,0.67),≥1紧急入院(c统计:0.59(95%CI) 0.56,0.63)和≥1 ACS紧急入院(c-统计:0.63(95%CI 0.60,0.67)。结论在这项研究中,VES-13预测死亡率和紧急入院的预测准确性相对有限。需要在不同的健康环境和更健康的人群中使用工具,这是未来研究的一个有趣领域。

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