ArticleScientific reports2017
A new scoring model for the prediction of mortality in patients with acute kidney injury.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed, 33 citations in OpenAlex.
- Machine learning models for predicting severe acute kidney injury in patients with sepsis-induced myocardial injury.Scientific reports · 2025Article
- Prognostic Scores for Acute Kidney Injury in Critically Ill Patients.Nursing reports (Pavia, Italy) · 2024Article
- Associations of systolic blood pressure and in-hospital mortality in critically ill patients with acute kidney injury.International urology and nephrology · 2023Article
- Efficacy of orally administered montmorillonite in myoglobinuric acute renal failure model in male rats.Iranian journal of basic medical sciences · 2023Article
- Article
- Characteristics and outcomes of COVID-19 patients assisted by intensivists and nonintensivists.Revista da Associacao Medica Brasileira (1992) · 2022Observational
- Characterizing the temporal changes in association between modifiable risk factors and acute kidney injury with multi-view analysis.International journal of medical informatics · 2022Article
- Prediction Models for One-Year Survival of Adult Patients with Acute Kidney Injury: A Longitudinal Study Based on the Data from the Medical Information Mart for Intensive Care III Database.Evidence-based complementary and alternative medicine : eCAM · 2022Article
- Prediction of Mortality Risk After Ischemic Acute Kidney Injury With a Novel Prognostic Model: A Multivariable Prediction Model Development and Validation Study.Frontiers in medicine · 2022Article
- Nomogram Prediction Model of Serum Chloride and Sodium Ions on the Risk of Acute Kidney Injury in Critically Ill Patients.Infection and drug resistance · 2022Article
- Application of interpretable machine learning for early prediction of prognosis in acute kidney injury.Computational and structural biotechnology journal · 2022Article
- Mortality Prediction in Patients with Severe Acute Kidney Injury Requiring Renal Replacement Therapy.Medicina (Kaunas, Lithuania) · 2021Article
- Effect of ondansetron on reducing ICU mortality in patients with acute kidney injury.Scientific reports · 2021Article
- Establishment of a novel scoring model for mortality risk prediction in HIV-infected patients with cryptococcal meningitis.BMC infectious diseases · 2021Article
- Development of mortality prediction model in the elderly hospitalized AKI patients.Scientific reports · 2021Article
- Recent advances in nanotherapeutics for the treatment and prevention of acute kidney injury.Asian journal of pharmaceutical sciences · 2021Review
- Role of Circular RNA in Kidney-Related Diseases.Frontiers in pharmacology · 2021Article
- Novel risk models to predict acute kidney disease and its outcomes in a Chinese hospitalized population with acute kidney injury.Scientific reports · 2020Article
- Post-contrast acute kidney injury in a hospitalized population: short-, mid-, and long-term outcome and risk factors for adverse events.European radiology · 2020Observational
- Non-coding RNA-Associated ceRNA Networks in a New Contrast-Induced Acute Kidney Injury Rat Model.Molecular therapy. Nucleic acids · 2019Article
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Currently, little information is available to stratify the risks and predict acute kidney injury (AKI)-associated death. In this present cross-sectional study, a novel scoring model was established to predict the probability of death within 90 days in patients with AKI diagnosis. For establishment of predictive scoring model, clinical data of 1169 hospitalized patients with AKI were retrospectively collected, and 731 patients of them as the first group were analyzed by the method of multivariate logistic regression analysis to create a scoring model and further predict patient death. Then 438 patients of them as the second group were used for validating this prediction model according to the established scoring method. Our results showed that Patient's age, AKI types, respiratory failure, central nervous system failure, hypotension, and acute tubular necrosis-individual severity index (ATN-ISI) score are independent risk factors for predicting the death of AKI patients in the created scoring model. Moreover, our scoring model could accurately predict cumulative AKI and mortality rate in the second group. In conclusion, this study identified the risk factors of 90-day mortality for hospitalized AKI patients and established a scoring model for predicting 90-day prognosis, which could help to interfere in advance for improving the quality of life and reduce mortality rate of AKI patients.
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