ArticleBMC infectious diseases2024
Nomogram predictive model for in-hospital mortality risk in elderly ICU patients with urosepsis.
Article in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed, 13 citations in OpenAlex.
- Piceatannol ameliorates intestinal barrier dysfunction in urosepsis by modulating the Nrf2/ROS/NF-κB pathway.Scientific reports · 2026Article
- Development and validation of a 28-day mortality risk prediction model for patients with AIDS suffering from sepsis secondary to pulmonary infections in the ICU.BMC infectious diseases · 2026Article
- The relationship between urinary tract infections and sepsis: results from Mendelian randomization and MIMIC data study.World journal of urology · 2026Article
- Association between lactate dehydrogenase-to-albumin ratio and short-term mortality in critically ill patients with urosepsis: evidence from dual retrospective cohorts.Frontiers in cellular and infection microbiology · 2026Article
- Risk Factors and Development of a Predictive Model for In-Hospital Mortality in Hemodynamically Stable Older Adults with Urinary Tract Infection.Medicina (Kaunas, Lithuania) · 2025Article
- Construction and validation of a predictive in-hospital mortality nomogram in patients with staphylococcus aureus bloodstream infection.Scientific reports · 2025Article
- Machine learning-based predictive tools and nomogram for in-hospital mortality in critically ill cancer patients: development and external validation using retrospective cohorts.BMC medical informatics and decision making · 2025Article
- Predictive nomogram for early detection of invasive fungal disease deterioration --- a 10-year retrospective cohort study.BMC infectious diseases · 2025Article
- The Development and Validation of a Nomogram for Predicting Sepsis Risk in Diabetic Patients with Urinary Tract Infection.Medicina (Kaunas, Lithuania) · 2025Observational
- Development and Validation of a Nomogram for Predicting Sepsis-Associated Acute Respiratory Distress Syndrome.International journal of general medicine · 2025Article
- A Mortality Risk Prediction Model for Septic Shock in Patients Aged ≥50: Role of Norepinephrine Index and Procalcitonin.International journal of general medicine · 2025Article
- Development and validation of a machine learning model for predicting stroke-associated pneumonia in older patients with acute ischemic stroke.Frontiers in neurologyArticle
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Authors and funding
14 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundUrinary tract infection (UTI) is a common cause of sepsis. Elderly patients with urosepsis in intensive care unit (ICU) have more severe conditions and higher mortality rates owing to factors such as advanced age, immunosenescence, and persistent host inflammatory responses. However, comprehensive studies on nomograms to predict the in-hospital mortality risk in elderly patients with urosepsis are lacking. This study aimed to construct a nomogram predictive model to accurately assess the prognosis of elderly patients with urosepsis and provide therapeutic recommendations.
methodsData of elderly patients with urosepsis were extracted from the Medical Information Mart for Intensive Care (MIMIC) IV 2.2 database. Patients were randomly divided into training and validation cohorts. A predictive nomogram model was constructed from the training set using logistic regression analysis, followed by internal validation and sensitivity analysis.
resultsThis study included 1,251 patients. LASSO regression analysis revealed that the Glasgow Coma Scale (GCS) score, red cell distribution width (RDW), white blood count (WBC), and invasive ventilation were independent risk factors identified from a total of 43 variables studied. We then created and verified a nomogram. The area under the receiver operating characteristic curve (AUC), net reclassification improvement (NRI), integrated discrimination improvement (IDI), and decision curve analysis (DCA) of the nomogram were superior to those of the traditional SAPS-II, APACHE-II, and SOFA scoring systems. The Hosmer-Lemeshow test results and calibration curves suggested good nomogram calibration. The IDI and NRI values showed that our nomogram scoring tool performed better than the other scoring systems. The DCA curves showed good clinical applicability of the nomogram.
conclusionsThe nomogram constructed in this study is a convenient tool for accurately predicting in-hospital mortality in elderly patients with urosepsis in ICU. Improving the treatment strategies for factors related to the model could improve the in-hospital survival rates of these patients.
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