ArticleClinical kidney journal2021
Development and internal validation of a prediction model for hospital-acquired acute kidney injury.
Article in Clinical kidney journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
20 citing papers in PubMed, 32 citations in OpenAlex.
- Icariin protects against cisplatin-induced renal injury and ferroptosis via JNK pathway in mice.BMC nephrology · 2026Article
- Interplay between gut microbiota and acute kidney injury: a review of their mutual influence and causation.Renal failure · 2025Review
- An algorithm to assess importance of predictors in systematic reviews of prediction models: a case study with simulations.BMC medical research methodology · 2025Article
- Specific NOX4 Inhibition Preserves Mitochondrial Function and Dampens Kidney Dysfunction Following Ischemia-Reperfusion-Induced Kidney Injury.Antioxidants (Basel, Switzerland) · 2024Article
- Myricitrin inhibited ferritinophagy-mediated ferroptosis in cisplatin-induced human renal tubular epithelial cell injury.Frontiers in pharmacology · 2024Article
- The benefits of early continuous renal replacement therapy in critically ill patients with acute kidney injury at high-altitude areas: a retrospective multi-center cohort study.Scientific reports · 2023Article
- Predictive model of acute kidney injury after spontaneous intracerebral hemorrhage: A multicenter retrospective study.European stroke journal · 2023Article
- Probiotics for kidney disease.Clinical kidney journal · 2022Article
- Benchmarking CKD: incidence of CKD in a European country with low prevalence of CKD and kidney replacement therapy.Clinical kidney journal · 2022Article
- Farewell from theClinical kidney journal · 2022Article
- RICORS2040: the need for collaborative research in chronic kidney disease.Clinical kidney journal · 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
- Integrating electronic health data records to develop and validate a predictive model of hospital-acquired acute kidney injury in non-critically ill patients.Clinical kidney journal · 2021Article
- External validation of the Madrid Acute Kidney Injury Prediction Score.Clinical kidney journal · 2021Article
- Development and Validation of a Model to Predict Severe Hospital-Acquired Acute Kidney Injury in Non-Critically Ill Patients.Journal of clinical medicine · 2021Article
- Acute kidney injury.Nature reviews. Disease primers · 2021Review
- Acute Kidney Injury is Aggravated in Aged Mice by the Exacerbation of Proinflammatory Processes.Frontiers in pharmacology · 2021Article
- Clinical Profile and Predictors Affecting Outcome in Community-Acquired Acute Kidney Injury: A 3 Months Follow-Up Study.Indian journal of nephrologyArticle
- Article
- CKD: The burden of disease invisible to research funders.Nefrologia : publicacion oficial de la Sociedad Espanola NefrologiaArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPredictive models and clinical risk scores for hospital-acquired acute kidney injury (AKI) are mainly focused on critical and surgical patients. We have used the electronic clinical records from a tertiary care general hospital to develop a risk score for new-onset AKI in general inpatients that can be estimated automatically from clinical records.
methodsA total of 47 466 patients met inclusion criteria within a 2-year period. Of these, 2385 (5.0%) developed hospital-acquired AKI. Step-wise regression modelling and Bayesian model averaging were used to develop the Madrid Acute Kidney Injury Prediction Score (MAKIPS), which contains 23 variables, all obtainable automatically from electronic clinical records at admission. Bootstrap resampling was employed for internal validation. To optimize calibration, a penalized logistic regression model was estimated by the least absolute shrinkage and selection operator (lasso) method of coefficient shrinkage after estimation.
resultsThe area under the curve of the receiver operating characteristic curve of the MAKIPS score to predict hospital-acquired AKI at admission was 0.811. Among individual variables, the highest odds ratios, all >2.5, for hospital-acquired AKI were conferred by abdominal, cardiovascular or urological surgery followed by congestive heart failure. An online tool (http://www.bioestadistica.net/MAKIPS.aspx) will facilitate validation in other hospital environments.
conclusionsMAKIPS is a new risk score to predict the risk of hospital-acquired AKI, based on variables present at admission in the electronic clinical records. This may help to identify patients who require specific monitoring because of a high risk of AKI.
Indexed as
Identifiers
What OpenQuestion holds
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 OpenQuestion graph.