Pathogen species are the risk factors for postoperative infection of patients with transurethral resection of the prostate: a retrospective study

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 f...

Full description

Saved in:
Bibliographic Details
Published in:Scientific reports Vol. 13; no. 1; p. 20943
Main Authors: Lin, Jiexiang, Yang, Zesong, Ye, Liefu, Hong, Yun, Cai, Wanghai, Pan, Honghong, Fu, Haishou, Wu, Jinfeng
Format: Journal Article
Language:English
Published: London Nature Publishing Group UK 28-11-2023
Nature Publishing Group
Nature Portfolio
Subjects:
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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 ( P Enterococcus faecium  = 0.014, P Pseudomonas 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 AUC TURP-PI  = 0.709 (95% CI 0.656–0.763) and AUC I-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.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-023-47773-7