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A novel multivariate logistic model for predicting risk factors of failed treatment with carbapenem-resistant Acinetobacter baumannii ventilator-associated pneumonia.
Sun, Ke; Peng, Fangchen; Xu, Kaiqiang; Liu, Yong; Zhou, Xuanping; Shang, Nan; Li, Chao.
Afiliación
  • Sun K; Department of Pharmacy, The First Hospital of Shanxi Medical University, Taiyuan, China.
  • Peng F; Shanxi Province People's Hospital, Taiyuan, China.
  • Xu K; Qinhuangdao Center for Disease Control and Prevention, Qinhuangdao, Hebei, China.
  • Liu Y; Shandong Public Health Clinical Center, Jinan, Shangdong, China.
  • Zhou X; School of Pharmacy, Shanxi Medical University, Taiyuan, China.
  • Shang N; Department of Pharmacy, The First Hospital of Shanxi Medical University, Taiyuan, China.
  • Li C; Department of Pharmacy, The First Hospital of Shanxi Medical University, Taiyuan, China.
Front Public Health ; 12: 1385118, 2024.
Article en En | MEDLINE | ID: mdl-38784576
ABSTRACT

Background:

This study aimed to explore the risk factors for failed treatment of carbapenem-resistant Acinetobacter baumannii ventilator-associated pneumonia (CRAB-VAP) with tigecycline and to establish a predictive model to predict the incidence of failed treatment and the prognosis of CRAB-VAP.

Methods:

A total of 189 CRAB-VAP patients were included in the safety analysis set from two Grade 3 A national-level hospitals between 1 January 2022 and 31 December 2022. The risk factors for failed treatment with CRAB-VAP were identified using univariate analysis, multivariate logistic analysis, and an independent nomogram to show the results.

Results:

Of the 189 patients, 106 (56.1%) patients were in the successful treatment group, and 83 (43.9%) patients were in the failed treatment group. The multivariate logistic model analysis showed that age (OR = 1.04, 95% CI 1.02, 1.07, p = 0.001), yes. of hypoproteinemia (OR = 2.43, 95% CI 1.20, 4.90, p = 0.013), the daily dose of 200 mg (OR = 2.31, 95% CI 1.07, 5.00, p = 0.034), yes. of medication within 14 days prior to surgical intervention (OR = 2.98, 95% CI 1.19, 7.44, p = 0.019), and no. of microbial clearance (OR = 0.31, 95% CI 0.14, 0.70, p = 0.005) were risk factors for the failure of tigecycline treatment. Receiver operating characteristic (ROC) analysis showed that the AUC area of the prediction model was 0.745 (0.675-0.815), and the decision curve analysis (DCA) showed that the model was effective in clinical practice.

Conclusion:

Age, hypoproteinemia, daily dose, medication within 14 days prior to surgical intervention, and microbial clearance are all significant risk factors for failed treatment with CRAB-VAP, with the nomogram model indicating that high age was the most important factor. Because the failure rate of CRAB-VAP treatment with tigecycline was high, this prediction model can help doctors correct or avoid risk factors during clinical treatment.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Infecciones por Acinetobacter / Carbapenémicos / Insuficiencia del Tratamiento / Acinetobacter baumannii / Neumonía Asociada al Ventilador / Tigeciclina / Antibacterianos Límite: Adult / Aged / Female / Humans / Male / Middle aged País/Región como asunto: Asia Idioma: En Revista: Front Public Health Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Infecciones por Acinetobacter / Carbapenémicos / Insuficiencia del Tratamiento / Acinetobacter baumannii / Neumonía Asociada al Ventilador / Tigeciclina / Antibacterianos Límite: Adult / Aged / Female / Humans / Male / Middle aged País/Región como asunto: Asia Idioma: En Revista: Front Public Health Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza