Found programs:
Authors:Shi Xiaobei; Meng Yinqiu; Song Junhui; Li Xingzhao; Fang Yueyang; Wang Dongmei; Zhang Xiangyang; Sun Yexiang
Keywords:burn;suicidal ideation;influencing factors;Logistic regression prediction model
DOI:10.19405/j.cnki.issn1000-1492.2024.08.027
〔Abstract〕 Objective To analyze and verify the factors influencing the prediction model of suicidal ideation of burn patients in hospital based on international scale. Methods The clinical data of 194 burn patients treated in hospital were retrospectively analyzed. General data questionnaire, ISI, HAMD, HAMA, ASDS and BSHS-B were used to evaluate the influencing factors of suicidal ideation. According to the presence or absence of suicidal ideation, the patients were divided into the suicidal ideation group and the non-suicidal ideation group. The baseline data between the groups were compared, univariate screening of meaningful variables was conducted, and multivariate Logistic regression modeling was further conducted. ROC analysis evaluated model differentiation, and internal verification was conducted. Results According to the baseline data analysis results, there were no statistically significant differences in age, BMI, years of education, smoking history, estimated percentage of burned area, head and neck burns, hip and perineal burns, and pain scores in the suicidal ideation group(21/194) compared with the non-suicidal ideation group(173/194). Gender(P=0.047), presence or absence of trunk burn(P=0.022), severity of burn(moderate burn: P=0.002; severe burn: P=0.458; extremely severe burn: P=0.169), ISI score(P=0.001), HAMD score(P=0.001), HAMA score(P<0.001), ASDS score(P=0.003), BSHS-B score(P=0.011) had statistical significance. Multivariate Logistic regression analysis showed that the severity of burn( moderate burn: OR=0.103,P=0.009; severe burn: OR=0.351,P=0.223; extremely severe burn: OR=0.103,P=0.095) and HAMA score(OR=1.136,P=0.007) were independent influencing factors for burn patients with suicidal ideation.The Logistic regression prediction model was established by two independent influencing factors. ROC analysis results showed that the model had good differentiation(AUC=0.880,95% CI:0.808-0.952,P<0.001) and the internal verification accuracy was 79.38%. Conclusion The prediction model built on the basis of two independent influencing factors,burn severity and HAMA score,has a good prediction accuracy,which is helpful for clinicians to intervene as soon as possible for burn patients with suicidal ideation in hospital,in order to reduce the incidence and enrich clinical psychological research.