Comparing the Accuracy of ABCD-10 and SCORTEN in Predicting the In-Hospital Mortality of Stevens-Johnson Syndrome/Toxic Epidermal Necrolysis: A Multi-Institutional Study from Central China

医学 接收机工作特性 中毒性表皮坏死松解 回顾性队列研究 曲线下面积 队列 内科学 皮肤病科
作者
Huinan Suo,Biling Jiang,Xiaoyan Sun,Jing Dong,Mahin Alamgir,Xin Guan,Hua Su,Yan Liu,Yuting Xia,Nuoya Zhou,Aiping Feng,Juan Tao
出处
期刊:Dermatology [S. Karger AG]
卷期号:238 (4): 736-744 被引量:5
标识
DOI:10.1159/000520494
摘要

<b><i>Background:</i></b> The newly described ABCD-10 (age, bicarbonate, cancer, dialysis, 10% body surface area [BSA]) is a 5-item mortality prediction model for patients with Stevens-Johnson syndrome (SJS)/toxic epidermal necrolysis (TEN). It was developed in the United States, has at present been externally tested only in the United States, Spain, and Singapore, and remains to be validated in resource-restricted settings. We sought to compare the accuracy of ABCD-10 and Score of Toxic Epidermal Necrolysis (SCORTEN) in predicting in-hospital mortality in a cohort from central China. Due to disease progression affecting the accuracy of the prediction model during hospitalization, for example, higher predictive accuracy of SCORTEN based on parameters collected on day 3 of hospitalization, we also assessed the overall predictive value of ABCD-10 on days 1 and 3, respectively. <b><i>Methods:</i></b> A retrospective study was performed over a 10-year period (2010–2020) from 3 medical institutions in Wuhan. The performance of predictive models was assessed by both discrimination and calibration. Receiver-operating characteristic (ROC) curves, Hosmer-Lemeshow goodness-of-fit tests and calibration plots were used to evaluate the model discrimination and calibration. <b><i>Results:</i></b> Of 84 included patients, 11 (13.1%) did not survive. The discrimination power of ABCD-10 was not significantly different from that of SCORTEN (area under the curve: day 1, <i>p</i> &#x3e; 0.05; day 3, <i>p</i> &#x3e; 0.05). Although the calibration of ABCD-10 was good, it was inferior to SCORTEN as it underestimated total mortality (Hosmer-Lemeshow goodness-of-fit test: day 1, <i>p</i> = 0.17 vs. <i>p</i> = 0.63; day 3, <i>p</i> = 0.35 vs. <i>p</i> = 0.93). Besides, the performance of ABCD-10 was slightly better on day 3 relative to day 1. During hospitalization, bacteremia developed in 21 (25.0%) patients, which was associated with a higher risk of death in our cohort (odds ratio, 22.88; 95% CI, 4.38–119.40; <i>p</i> &#x3c; 0.001). <b><i>Conclusion:</i></b> ABCD-10 showed acceptable overall performance, but revealed mortality underestimation and was inferior to the performance of SCORTEN. In consistence with SCORTEN, ABCD-10 was a better model when using values collected at day 3 of hospitalization relative to day 1.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
pursuingx完成签到,获得积分10
1秒前
结实灵完成签到,获得积分10
1秒前
机灵猕猴桃完成签到,获得积分10
1秒前
标致小伙发布了新的文献求助30
2秒前
3秒前
3秒前
3秒前
烂漫驳发布了新的文献求助10
3秒前
三侠完成签到,获得积分10
3秒前
orixero应助迷人圣诞树很闲采纳,获得10
4秒前
4秒前
学渣向下发布了新的文献求助10
4秒前
5秒前
专注乐巧完成签到,获得积分20
5秒前
天天快乐应助闪闪的摩托采纳,获得10
5秒前
BreezyGallery发布了新的文献求助10
5秒前
sss完成签到,获得积分10
5秒前
壮观寄文完成签到 ,获得积分10
5秒前
zhangkaixin完成签到,获得积分10
5秒前
6秒前
1111完成签到,获得积分10
7秒前
7秒前
swsx1317发布了新的文献求助10
8秒前
camellia发布了新的文献求助10
8秒前
拼搏思卉发布了新的文献求助10
8秒前
captin发布了新的文献求助10
8秒前
lzzj完成签到,获得积分10
8秒前
yannis2020发布了新的文献求助10
8秒前
孤独秋白完成签到,获得积分10
8秒前
安详绿草发布了新的文献求助10
8秒前
喵喵完成签到 ,获得积分10
8秒前
楼寒天发布了新的文献求助10
9秒前
陈陌陌完成签到,获得积分10
9秒前
CipherSage应助科研通管家采纳,获得20
10秒前
丘比特应助标致小伙采纳,获得10
10秒前
咸鱼好翻身完成签到,获得积分10
10秒前
NexusExplorer应助科研通管家采纳,获得30
10秒前
北北完成签到 ,获得积分10
10秒前
10秒前
1221211应助科研通管家采纳,获得10
10秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527699
求助须知:如何正确求助?哪些是违规求助? 3107752
关于积分的说明 9286499
捐赠科研通 2805513
什么是DOI,文献DOI怎么找? 1539954
邀请新用户注册赠送积分活动 716878
科研通“疑难数据库(出版商)”最低求助积分说明 709759