Objective: To timely assess the risk of incontinence-associated dermatitis (IAD) by constructing a nomogram-predicting model for the risk prediction of IAD in critically ill patients. Method: A total of 359 ICU patients in a tertiary hospital of integrated traditional Chinese and Western medicine were selected, and divided into the nonoccurrence group (n=257) and occurrence group (n=102) according to the IAD happens or not. Univariate and multivariable logistic regression analysis were used to analysis the risk factors for IAD. A nomogram-predicting model was build based on the logistic regression model by R software. Results: Five risk factors, including fever (P=0.001,OR=3.252), the double incontinence(P=0.001,OR=3.510), daily stool frequency(P＜0.001,OR=2.987), PAT score(P=0.002,OR=1.268), and TCM syndrome differentiation nursing(P＜0.001,OR=4.540), were taken to construct a nomogram-predicting model. The model displayed good discrimination with a C-index of 0.884 and good calibration, and the predicting probability of the model was consistent with the probability of occurrence of IAD. Decision curve analysis showed that the model was clinically useful. Conclusion: This nomogram-predicting model has satisfactory prediction by combining with the theory of TCM syndrome differentiation. The risk prediction can be completed at the beginning of ICU stay, which can provide reference for preventative treatment and nursing measures for high-risk patients.
HUANG Qionglei
,
JIN Ying
,
SHI Liangliang
,
LIU Min
. Establishment and validation of nomogram prediction model for incontinence-associated dermatitis risk in critically ill patients[J]. Journal of Baotou Medical College, 2023
, 39(11)
: 70
-74
.
DOI: 10.16833/j.cnki.jbmc.2023.11.014
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