Han Thang S, Fluck David, Fry Christopher H
Institute of Cardiovascular Research, Royal Holloway, University of London, Egham, Surrey, TW20 0EX, UK.
Department of Endocrinology, Ashford and St Peter's Hospitals NHS Foundation Trust, Guildford Road, Chertsey, Surrey, KT16 0PZ, UK.
Eur J Pediatr. 2021 May;180(5):1571-1579. doi: 10.1007/s00431-021-03929-z. Epub 2021 Jan 15.
The LACE index scoring tool has been designed to predict hospital readmissions in adults. We aimed to evaluate the ability of the LACE index to identify children at risk of frequent readmissions. We analysed data from alive-discharge episodes (1 April 2017 to 31 March 2019) for 6546 males and 5875 females from birth to 18 years. The LACE index predicted frequent all-cause readmissions within 28 days of hospital discharge with high accuracy: the area under the curve = 86.9% (95% confidence interval = 84.3-89.5%, p < 0.001). Two-graph receiver operating characteristic curve analysis revealed the LACE index cutoff to be 4.3, where sensitivity equals specificity, to predict frequent readmissions. Compared with those with a LACE index score = 0-4 (event rates, 0.3%), those with a score > 4 (event rates, 3.7%) were at increased risk of frequent readmissions: age- and sex-adjusted odds ratio = 12.4 (95% confidence interval = 8.0-19.2, p < 0.001) and death within 30 days of discharge: OR = 5.0 (95% CI = 1.5-16.7). The ORs for frequent readmissions were between 6 and 14 for children of different age categories (neonate, infant, young child and adolescent), except for patients in the child category (6-12 years) where odds ratio was 2.8.Conclusion: The LACE index can be used in healthcare services to identify children at risk of frequent readmissions. Focus should be directed at individuals with a LACE index score above 4 to help reduce risk of readmissions. What is Known: • The LACE index scoring tool has been widely used to predict hospital readmissions in adults. What is New: • Compared with children with a LACE index score of 0-4 (event rates, 0.3%), those with a score > 4 are at increased risk of frequent readmissions by 14-fold. • The cutoff of a LACE index of 4 may be a useful level to identify children at increased risk of frequent readmissions.
LACE指数评分工具旨在预测成人的医院再入院情况。我们旨在评估LACE指数识别有频繁再入院风险儿童的能力。我们分析了2017年4月1日至2019年3月31日期间6546名男性和5875名女性从出生到18岁的存活出院病例数据。LACE指数能高度准确地预测出院后28天内的全因频繁再入院情况:曲线下面积=86.9%(95%置信区间=84.3 - 89.5%,p<0.001)。双图受试者工作特征曲线分析显示,预测频繁再入院时LACE指数的临界值为4.3,此时敏感性等于特异性。与LACE指数评分为0 - 4的患者(事件发生率0.3%)相比,评分>4的患者(事件发生率3.7%)频繁再入院风险增加:年龄和性别调整后的优势比=12.4(95%置信区间=8.0 - 19.2,p<0.001)以及出院后30天内死亡的风险:优势比=5.0(95%置信区间=1.5 - 16.7)。不同年龄类别(新生儿、婴儿、幼儿和青少年)儿童频繁再入院的优势比在6至14之间,但6 - 12岁儿童类别患者的优势比为2.8。结论:LACE指数可用于医疗服务中识别有频繁再入院风险的儿童。应关注LACE指数评分高于4的个体,以帮助降低再入院风险。已知信息:•LACE指数评分工具已广泛用于预测成人的医院再入院情况。新发现:•与LACE指数评分为0 - 4的儿童(事件发生率0.3%)相比,评分>4的儿童频繁再入院风险增加14倍。•LACE指数临界值为4可能是识别频繁再入院风险增加儿童的有用水平。