Observational studyMedicine2020
Predictors of urinary tract infection in acute stroke patients: A cohort study.
Observational study in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.
- Impact of anemia on acute ischemic stroke outcomes: A systematic review of the literature.PloS one · 2023Pooled it
- Predictive Value of FT3/FT4 and Neutrophil-to-Lymphocyte Ratios for Post-Ischemic Stroke Urinary Tract Infection and Their Association With Longitudinal Functional Recovery Trajectories: A Retrospective Cohort Study.Brain and behavior · 2026Article
- The Prevalence, Predictors, and In-Hospital Outcomes of Stroke-Associated Infection in Acute Ischemic Stroke: A Malaysian Prospective Cohort Study.Journal of clinical medicine · 2026Article
- [Predictors of short-term antimicrobial treatment outcomes in patients with liver failure complicated by spontaneous bacterial peritonitis: A retrospective study].Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2026Article
- Article
- Exploration of the associations between dysphagia, liquid intake restrictions, and comorbidities in acute stroke: a retrospective chart review.Frontiers in rehabilitation sciences · 2026Article
- Tolerability and efficacy of induction Bacillus Calmette-Guérin for non-muscle invasive bladder cancer.Bladder (San Francisco, Calif.) · 2025Article
- A novel score for early prediction of urinary tract infection risk in patients with acute ischemic stroke: a nomogram-based retrospective cohort study.Scientific reports · 2024Article
- Smart Diagnosis of Urinary Tract Infections: is Artificial Intelligence the Fast-Lane Solution?Current urology reports · 2024Review
- Determinants of urinary tract infection in hospitalized patients with acute ischemic stroke.BMC neurology · 2023Article
- Prediction of upcoming urinary tract infection after intracerebral hemorrhage: a machine learning approach based on statistics collected at multiple time points.Frontiers in neurology · 2023Article
- A simple nomogram for predicting infectious diseases in adult kidney transplantation recipients.Frontiers in public health · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Patients with stroke have a high risk of infection which may be predicted by age, procalcitonin, interleukin-6, C-reactive protein, National Institute of Health stroke scale (NHSS) score, diabetes, etc. These prediction methods can reduce unfavourable outcome by preventing the occurrence of infection.We aim to identify early predictors for urinary tract infection in patients after stroke.In 186 collected acute stroke patients, we divided them into urinary tract infection group, other infection type groups, and non-infected group. Data were recorded at admission. Independent risk factors and infection prediction model were determined using Logistic regression analyses. Likelihood ratio test was used to detect the prediction effect of the model. Receiver operating characteristic curve and the corresponding area under the curve were used to measure the predictive accuracy of indicators for urinary tract infection.Of the 186 subjects, there were 35 cases of urinary tract infection. Elevated interleukin-6, higher NIHSS, and decreased hemoglobin may be used to predict urinary tract infection. And the predictive model for urinary tract infection (including sex, NIHSS, interleukin-6, and hemoglobin) have the best predictive effect.This study is the first to discover that decreased hemoglobin at admission may predict urinary tract infection. The prediction model shows the best accuracy.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.