Published online Sep 15, 2023. doi: 10.4239/wjd.v14.i9.1403
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
Processing time: 99 Days and 1.6 Hours
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.
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.
We successfully predicted high-risk patients by establishing a risk model, which was beneficial to clinical and targeted treatment and prevention.
We constructed a risk model of urinary sepsis by logistic regression model, which provided an observation model for the prediction of high-risk patients.
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.
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.
The universality of the model could be verified based on multicenter data, and then extended to clinical practice.