Gou JJ, Zhang C, Han HS, Wu HW. Risk factors of concurrent urinary sepsis in patients with diabetes mellitus comorbid with upper urinary tract calculi. World J Diabetes 2023; 14(9): 1403-1411 [PMID: 37771326 DOI: 10.4239/wjd.v14.i9.1403]
Corresponding Author of This Article
Hong-Wei Wu, MM, Associate Chief Physician, Emergency Dep-artment, People’s Hospital of Jincheng, No. 456 Wenchang East Street, Zhongjiazhuang, Jincheng 048000, Shanxi Province, China. 13935660657@163.com
Research Domain of This Article
Endocrinology & Metabolism
Article-Type of This Article
Retrospective Study
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Jian-Jie Gou, Chao Zhang, Hai-Song Han, Department of Urology Surgery, People’s Hospital of Jincheng, Jincheng 048000, Shanxi Province, China
Hong-Wei Wu, Emergency Department, People’s Hospital of Jincheng, Jincheng 048000, Shanxi Province, China
Author contributions: Gou JJ designed and performed the research and wrote the paper; Zhang C designed the research and supervised the report; Han HS designed the research and contributed to the analysis; Wu HW provided clinical advice; Zhang C, Han HS, and Wu HW supervised the report.
Institutional review board statement: The study was reviewed and approved by the Institutional review board of People’s Hospital of Jincheng (Approval No. JCPH.No20230401001).
Informed consent statement: All study participants or their legal guardian provided informed written consent about personal and medical data collection prior to study enrolment.
Conflict-of-interest statement: The authors declare no conflicts of interest for this article.
Data sharing statement: Dataset available from the corresponding author.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Hong-Wei Wu, MM, Associate Chief Physician, Emergency Dep-artment, People’s Hospital of Jincheng, No. 456 Wenchang East Street, Zhongjiazhuang, Jincheng 048000, Shanxi Province, China. 13935660657@163.com
Received: June 6, 2023 Peer-review started: June 6, 2023 First decision: June 21, 2023 Revised: June 30, 2023 Accepted: July 18, 2023 Article in press: July 18, 2023 Published online: September 15, 2023
ARTICLE HIGHLIGHTS
Research background
In patients with diabetes mellitus (DM), long-term hyperglycemia can trigger increases in sugar, protein and other substances in urine, promoting formation of calculi. Urinary calculi can lead to urinary tract infection, renal insufficiency and other complications, and even become life-threatening in severe cases, causing a serious impact on the health of patients with DM. However, at present, the risk factors for urinary sepsis are not uniform. The purpose of this study was to analyze the risk factors for urinary sepsis in patients with DM complicated with upper urinary tract calculi (UUTCs) to provide potential indicators for clinical observation.
Research motivation
It is helpful to identify high-risk patients at an early stage and implement and effective intervention measures by constructing a prediction model, thus reducing complications and improving prognosis.
Research objectives
We successfully predicted high-risk patients by establishing a risk model, which was beneficial to clinical and targeted treatment and prevention.
Research methods
We constructed a risk model of urinary sepsis by logistic regression model, which provided an observation model for the prediction of high-risk patients.
Research results
Although we successfully established a risk model, due to the small number of patients, it was impossible to carry out external verification, so more data are needed to verify whether the model is universal.
Research conclusions
Gender, age, history of lumbago and abdominal pain, operation time, and urinary leukocytes and urinary glucose were independent risk factors for concurrent urinary sepsis in patients with DM and UUTCs, and we predicted high-risk patients using a risk model.
Research perspectives
The universality of the model could be verified based on multicenter data, and then extended to clinical practice.
