文章摘要
老年急性重症胰腺炎患者并发失禁性皮炎的影响因素分析及预测模型构建
Analysis of Influencing Factors and Prediction Model Construction of Incontinence-Associated Dermatitis in Elderly Acute Severe Pancreatitis Patients
投稿时间:2024-11-30  修订日期:2024-11-30
DOI:
中文关键词: 老年  急性重症胰腺炎  失禁性皮炎  影响因素  预测模型
英文关键词: Elderly  Acute severe pancreatitis  Incontinence-associated dermatitis  Influencing factors  Prediction model
基金项目:
作者单位邮编
王姝心* 山东省立第三医院 250031
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中文摘要:
      目的:探讨老年急性重症胰腺炎(SAP)患者并发失禁性皮炎(IAD)的影响因素,并构建预测模型。方法:选取2022年4月~2024年1月期间我院收治的108例老年SAP患者。根据患者是否并发IAD将其分为发生组(n=26)和未发生组(n=82)。采用单因素和多因素Logistic回归分析IAD的影响因素;采用受试者工作特征(ROC)曲线评估基于多因素Logistic回归分析构建的预测模型对老年SAP患者并发IAD的预测价值。结果:108例老年SAP患者中,并发IAD26例,IAD并发率为24.07%(26/108)。发生组血红蛋白、血清清蛋白水平、Braden评分均低于未发生组;会阴部皮肤评估工具(PAT)评分、年龄、大小便失禁比例、水样便比例、住院天数、使用抗菌药种数≥3种比例均高于未发生组(P<0.05)。多因素Logistic回归分析结果显示,血清清蛋白水平降低、Braden评分降低、PAT评分升高、大便性状为水样便、使用抗菌药种数≥3种是老年SAP患者并发IAD的危险因素(P<0.05)。Homser-Lemeshow检验结果显示基于多因素Logistic回归分析构建的预测模型具有较好的拟合优度(χ2=3.102,P=0.192)。预测模型中血清清蛋白、Braden评分、PAT评分、大便性状、使用抗菌药种数单独及联合诊断老年SAP患者并发IAD的曲线下面积(AUC)分别为0.799、0.753、0.765、0.667、0.653、0.917,联合诊断效能最高(Z=2.218、3.309、3.658、4.305、5.031,P<0.05)。结论:老年SAP患者并发IAD风险较高,血清清蛋白水平降低、Braden评分降低、PAT评分升高、大便性状为水样便、使用抗菌药种数≥3种是老年SAP患者并发IAD的危险因素,基于上述危险因素构建的预测模型在诊断老年SAP患者并发IAD方面具有较高的价值。
英文摘要:
      Objective: To explore the influencing factors of incontinence-associated dermatitis (IAD) in elderly acute severe pancreatitis (SAP) patients, and to construct a prediction model. Methods: 108 elderly SAP patients who were admitted in our hospital from April 2022 to January 2024 were selected. Patients were divided into occurrence group (n=26) and non-occurrence group (n=82) according to whether the patient was complicated with IAD. The influencing factors of IAD were analyzed by univariate and multivariate Logistic regression analysis. The predictive value of the prediction model based on multivariate logistic regression analysis for IAD in elderly SAP patients was evaluated by receiver operating characteristic (ROC) curve. Results: Among 108 elderly SAP patients, 26 cases were complicated with IAD, and the incidence of IAD was 24.07% (26/108). The hemoglobin, serum albumin levels and Braden score in occurrence group were lower than those in non-occurrence group. The perineal skin assessment tool (PAT) score, age, the proportion of incontinence, the proportion of watery stools, hospital days, and the number of antibiotics used ≥3 were higher than those in non-occurrence group (P<0.05). Multivariate Logistic regression analysis showed that, serum albumin level decreased, Braden score decreased, PAT score increased, stool traits was watery stool, and number of antibiotics used ≥3 were risk factors for IAD in elderly SAP patients (P<0.05). The results of Homser-Lemeshow test showed that the prediction model based on multivariate Logistic regression analysis had good goodness of fit (χ2=3.102, P=0.192). In the prediction model the area under the curve (AUC) of serum albumin, Braden score, PAT score, stool traits, number of antibiotics used alone and in combination in the diagnosis of IAD in elderly SAP patients were 0.799, 0.753, 0.765, 0.667, 0.653, 0.917, respectively, and the combined diagnostic efficiency was the highest (Z=2.218, 3.309, 3.658, 4.305, 5.031, P<0.05). Conclusion: Elderly SAP patients have a higher risk of IAD, serum albumin level decreased, Braden score decreased, PAT score increased, stool traits is watery stool, and number of antibiotics used ≥ 3 are risk factors for IAD in elderly SAP patients, the prediction model based on the above risk factors has high value in the diagnosis of IAD in elderly SAP patients.
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