{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["10"],"submitter":["Zhou L"],"pubmed_abstract":["<h4>Background</h4>This study was performed to construct and validate an early risk warning model of urinary tract infection in patients with neurogenic lower urinary tract dysfunction (NLUTD).<h4>Methods</h4>Eligible patients with NLUTD admitted to Shenzhen Longcheng hospital from January 2017 to June 2021 were recruited for model construction, internal validation and external validation. The first time point of data collection was within half a month of patients first diagnosed with NLUTD. The second time point was at the 6-month follow-up. The early warning model was constructed by logistic regression. The model prediction effects were validated using the area under the Receiver Operating Characteristic curve, the Boostrap experiment and the calibration plot of the combined data. The mo"],"journal":["PeerJ"],"pagination":["e13388"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9080428"],"repository":["biostudies-literature"],"pubmed_title":["Early warning model construction and validation for urinary tract infection in patients with neurogenic lower urinary tract dysfunction (NLUTD): a retrospective study."],"pmcid":["PMC9080428"],"pubmed_authors":["Liang S","Zhou L","Shuai Q","Gao L","Fan C","Cai W"],"additional_accession":[]},"is_claimable":false,"name":"Early warning model construction and validation for urinary tract infection in patients with neurogenic lower urinary tract dysfunction (NLUTD): a retrospective study.","description":"<h4>Background</h4>This study was performed to construct and validate an early risk warning model of urinary tract infection in patients with neurogenic lower urinary tract dysfunction (NLUTD).<h4>Methods</h4>Eligible patients with NLUTD admitted to Shenzhen Longcheng hospital from January 2017 to June 2021 were recruited for model construction, internal validation and external validation. The first time point of data collection was within half a month of patients first diagnosed with NLUTD. The second time point was at the 6-month follow-up. The early warning model was constructed by logistic regression. The model prediction effects were validated using the area under the Receiver Operating Characteristic curve, the Boostrap experiment and the calibration plot of the combined data. The mo","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022","modification":"2025-04-19T10:46:28.241Z","creation":"2025-02-19T04:21:21.312Z"},"accession":"S-EPMC9080428","cross_references":{"pubmed":["35539015"],"doi":["10.7717/peerj.13388"]}}