Development of Predictive Nomograms for Clinical Use to Quantify the Risk of Amputation in Patients with Diabetic Foot Ulcer

列线图 医学 截肢 逻辑回归 单变量分析 糖尿病足 糖尿病足溃疡 接收机工作特性 糖尿病 风险因素 内科学 单变量 多元分析 外科 多元统计 统计 内分泌学 数学
作者
Bocheng Peng,Min Rui,Yiqin Liao,Aixi Yu
出处
期刊:Journal of diabetes research [Hindawi Publishing Corporation]
卷期号:2021: 1-9 被引量:27
标识
DOI:10.1155/2021/6621035
摘要

Objective. To determine the novel proposed nomogram model accuracy in the prediction of the lower-extremity amputations (LEA) risk in diabetic foot ulcer (DFU). Methods and Materials. In this retrospective study, data of 125 patients with diabetic foot ulcer who met the research criteria in Zhongnan Hospital of Wuhan University from January 2015 to December 2019 were collected by filling in the clinical investigation case report form. Firstly, univariate analysis was used to find the primary predictive factors of amputation in patients with diabetic foot ulcer. Secondly, single factor and multiple factor logistic regression analysis were employed to screen the independent influencing factors of amputation introducing the primary predictive factors selected from the univariate analysis. Thirdly, the independent influencing factors were applied to build a prediction model of amputation risk in patients with diabetic foot ulcer by using R4.3; then, the nomogram was established according to the selected variables visually. Finally, the performance of the prediction model was evaluated and verified by receiver working characteristic (ROC) curve, corrected calibration curve, and clinical decision curve. Results. 7 primary predictive factors were selected by univariate analysis from 21 variables, including the course of diabetes, peripheral angiopathy of diabetic (PAD), glycosylated hemoglobin A1c (HbA1c), white blood cells (WBC), albumin (ALB), blood uric acid (BUA), and fibrinogen (FIB); single factor logistic regression analysis showed that albumin was a protective factor for amputation in patients with diabetic foot ulcer, and the other six factors were risk factors. Multivariate logical regression analysis illustrated that only five factors (the course of diabetes, PAD, HbA1c, WBC, and FIB) were independent risk factors for amputation in patients with diabetic foot ulcer. According to the area under curve (AUC) of ROC was 0.876 and corrected calibration curve of the nomogram displayed good fitting ability, the model established by these 5 independent risk factors exhibited good ability to predict the risk of amputation. The decision analysis curve (DCA) indicated that the nomogram model was more practical and accurate when the risk threshold was between 6% and 91%. Conclusion. Our novel proposed nomogram showed that the course of diabetes, PAD, HbA1c, WBC, and FIB are the independent risk factors of amputation in patients with DFU. This prediction model was well developed and behaved a great accurate value for LEA so as to provide a useful tool for screening LEA risk and preventing DFU from developing into amputation.
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
今后应助毅然来采纳,获得10
1秒前
hubo发布了新的文献求助10
1秒前
a1159545319应助ardejiang采纳,获得10
1秒前
1秒前
qiongqiong完成签到,获得积分10
1秒前
2秒前
zk发布了新的文献求助10
3秒前
qiao应助陈永伟采纳,获得10
3秒前
勤劳寒烟完成签到,获得积分10
4秒前
我是老大应助负数采纳,获得10
4秒前
4秒前
fannyeast完成签到,获得积分10
5秒前
asdf发布了新的文献求助10
5秒前
siijjfjjf完成签到 ,获得积分10
5秒前
龙龙ff11_完成签到,获得积分10
6秒前
友好的难敌完成签到,获得积分10
6秒前
SciGPT应助没有昵称采纳,获得10
7秒前
金色热浪发布了新的文献求助10
7秒前
dwfwq完成签到,获得积分10
8秒前
8秒前
9秒前
乱世完成签到,获得积分10
10秒前
10秒前
11秒前
统计羊发布了新的文献求助20
12秒前
搜集达人应助典雅的迎波采纳,获得10
12秒前
活泼的面包完成签到,获得积分10
12秒前
13秒前
十二发布了新的文献求助30
14秒前
老实不尤完成签到,获得积分10
14秒前
22222发布了新的文献求助50
15秒前
在水一方应助虚影采纳,获得10
15秒前
硕大的眼发布了新的文献求助10
16秒前
脑洞疼应助我是張寜啊采纳,获得10
16秒前
16秒前
16秒前
沐阳发布了新的文献求助10
17秒前
17秒前
18秒前
无解完成签到,获得积分10
18秒前
高分求助中
【此为提示信息,请勿应助】请按要求发布求助,避免被关 20000
ISCN 2024 – An International System for Human Cytogenomic Nomenclature (2024) 3000
Continuum Thermodynamics and Material Modelling 2000
Encyclopedia of Geology (2nd Edition) 2000
105th Edition CRC Handbook of Chemistry and Physics 1600
Izeltabart tapatansine - AdisInsight 800
Maneuvering of a Damaged Navy Combatant 650
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3774200
求助须知:如何正确求助?哪些是违规求助? 3319877
关于积分的说明 10197394
捐赠科研通 3034433
什么是DOI,文献DOI怎么找? 1665030
邀请新用户注册赠送积分活动 796533
科研通“疑难数据库(出版商)”最低求助积分说明 757510