ArticleClinical epidemiology2021
Risk Scoring Systems Including Electrolyte Disorders for Predicting the Incidence of Acute Kidney Injury in Hospitalized Patients.
Article in Clinical epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 13 citations in OpenAlex.
- Electrolyte-derived clinical indices in traumatic brain injury: A narrative review.World journal of methodology · 2026Review
- Factors and outcomes associated with acute kidney injury in brain tumor resection patients: insights from a large US database (2010-2019).Renal failure · 2025Article
- An algorithm to assess importance of predictors in systematic reviews of prediction models: a case study with simulations.BMC medical research methodology · 2025Article
- Effects of fermentedOpen veterinary journal · 2024Article
- Association between serum calcium level and the risk of acute kidney injury in ICU patients with subarachnoid hemorrhage: a retrospective cohort study.Frontiers in neurology · 2024Article
- COVID-19: critical case of a patient with an atypical manifestation of the disease.Diagnostic pathology · 2023Article
- Admission electrolyte and osmotic pressure levels are associated with the incidence of contrast-associated acute kidney injury.Scientific reports · 2022Article
- Acute kidney injury in patients with primary nephrotic syndrome: influencing factors and coping strategies.BMC nephrology · 2022Article
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Authors and funding
9 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionElectrolyte disorders are common among hospitalized patients with acute kidney injury (AKI) and adversely affect the outcome. This study aimed to explore the potential role of abnormal electrolyte levels on predicting AKI and severe AKI.
methodsIn this retrospective, observational study, we included all hospitalized patients in our hospital in China from October 01, 2014, to September 30, 2015. Since only a few patients had arterial blood gas analysis (ABG), all subjects involved were divided into two groups: patients with ABG and patients without ABG. Severe AKI was defined as AKI stage 2 or 3 according to KDIGO guideline.
resultsA total of 80,091 patients were enrolled retrospectively and distributed randomly into the test cohort and the validation cohort (2:1). Logistic regression was performed in the test cohort to analyze risk factors including electrolyte disorders and elucidate the association. The test data (derivation cohort) led to AUC values of 0.758 (95% CI: 0.743-0.773; AKI with ABG), 0.751 (95% CI: 0.740-0.763; AKI without ABG), 0.733 (95% CI: 0.700-0.767; severe AKI with ABG), 0.853 (95% CI: 0.824-0.882; severe AKI without ABG). Application of the scoring system in the validation cohort led to AUC values of 0.724 (95% CI: 0.703-0.744; AKI with ABG), 0.738 (95% CI: 0.721-0.755; AKI without ABG), 0.774 (95% CI: 0.732-0.815; severe AKI with ABG), 0.794 (95% CI: 0.760-0.827; severe AKI without ABG). Hosmer-Lemeshow tests revealed a good calibration.
conclusionThe risk scoring systems involving electrolyte disorders were established and validated adequately efficient to predict AKI and severe AKI in hospitalized patients. Electrolyte imbalance needs to be carefully monitored and corrections should be made on time to avoid further adverse outcome.
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