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Pathogen species are the risk factors for postoperative infection of patients with transurethral resection of the prostate: a retrospective study.
Lin, Jiexiang; Yang, Zesong; Ye, Liefu; Hong, Yun; Cai, Wanghai; Pan, Honghong; Fu, Haishou; Wu, Jinfeng.
Afiliación
  • Lin J; The Shengli Clinical Medical College, Fujian Medical University, Fuzhou, 350001, Fujian, China.
  • Yang Z; Department of Urology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou, 350001, Fujian, China.
  • Ye L; The Shengli Clinical Medical College, Fujian Medical University, Fuzhou, 350001, Fujian, China.
  • Hong Y; Department of Urology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou, 350001, Fujian, China.
  • Cai W; The Shengli Clinical Medical College, Fujian Medical University, Fuzhou, 350001, Fujian, China.
  • Pan H; Department of Urology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou, 350001, Fujian, China.
  • Fu H; The Shengli Clinical Medical College, Fujian Medical University, Fuzhou, 350001, Fujian, China.
  • Wu J; Department of Urology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou, 350001, Fujian, China.
Sci Rep ; 13(1): 20943, 2023 11 28.
Article en En | MEDLINE | ID: mdl-38016988
ABSTRACT
This study aimed to analyze the infection risk factors for transurethral resection of the prostate (TURP) and establish predictive models to help make personalized treatment plans. Our study was designed one-center and retrospectively enrolled 1169 benign prostatic hyperplasia (BPH) patients. Risk factors were explored for postoperative infection. A TURP-postoperative infection (TURP-PI) model with infection prediction values was created. The improved-TURP-PI (I-TURP-PI) model, including extra new factors (pathogens species), was also built to see whether it could optimize the prediction abilities. At last, we developed a nomogram for better clinical application. Operation time, preoperative indwelling urinary catheter (PIUC), and positive preoperative urine culture were independent risk factors (all P < 0.05). Interestingly, pathogens species in pre-surgery urine (PEnterococcus faecium = 0.014, PPseudomonas aeruginosa = 0.086) were also independent risk factors. Patients with positive Enterococcus faecium (37.50%) were most likely to have postoperative infection. We built two models with AUCTURP-PI = 0.709 (95% CI 0.656-0.763) and AUCI-TURP-PI = 0.705 (95% CI 0.650-0.760). The nomogram could help improve the prediction ability. To our knowledge, our study is the first to use pathogen species in urine before surgery as risk factors for infection prediction after TURP. TURP-PI and I-TURP-PI models have essential roles in predicting patients' postoperative infections and in better postoperative antibiotic decision-making.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Hiperplasia Prostática / Resección Transuretral de la Próstata Límite: Humans / Male Idioma: En Revista: Sci Rep Año: 2023 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Hiperplasia Prostática / Resección Transuretral de la Próstata Límite: Humans / Male Idioma: En Revista: Sci Rep Año: 2023 Tipo del documento: Article País de afiliación: China