Trial reportBMC nephrology2022
A nomogram to predict hyperkalemia in patients with hemodialysis: a retrospective cohort study.
Trial report in BMC nephrology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Association Between Exposure to Multiple Metal Elements and Cognitive Function in Older Adults: The Mediating Role of Branched-Chain Amino Acids.Biological trace element research · 2026Article
- Association between exposure to proton pump inhibitors and hyperuricemia: risk prediction model establishment and nomogram construction.Frontiers in pharmacology · 2026Article
- Development and validation of a nomogram for predicting hospitalization-associated disability in older patients with acute heart failure.Frontiers in cardiovascular medicine · 2026Article
- Construction and validation of a nomogram to predict 1-year mortality risk in patients with HIV/AIDS undergoing maintenance hemodialysis.Renal failure · 2025Article
- Construction and evaluation of an individualized nomogram prediction model for posterior vitreous detachment in patients with cataract surgery.Frontiers in medicine · 2025Article
- Influencing factors and risk prediction nomogram model construction of hyperkalemia during kidney transplantation.Frontiers in surgery · 2025Article
- Construction and validation of a predictive model for hypothermia complication during endoscopic thyroidectomy for thyroid cancer.Frontiers in molecular biosciences · 2025Article
- Strategies for hyperkalemia management in dialysis patients: A systematic review.Open medicine (Warsaw, Poland) · 2025Review
- Development and validation of a prediction model for delayed recovery from anesthesia in elderly lung adenocarcinoma patients underwent thoracoscopic radical resection.Scientific reports · 2024Article
- Development and validation of an intraoperative hypothermia nomograph model for patients undergoing video-assisted thoracoscopic lobectomy: a retrospective study.Scientific reports · 2024Article
- A dynamic nomogram for predicting 28-day mortality in septic shock: a Chinese retrospective cohort study.PeerJ · 2024Article
- Handgrip strength and body mass index exhibit good predictive value for sarcopenia in patients on peritoneal dialysis.Frontiers in nutrition · 2024Article
- Prediction of hyperkalemia in ESRD patients by identification of multiple leads and multiple features on ECG.Renal failure · 2023Article
- Development and Assessment of a Novel Predictive Nomogram to Predict the Risk of Secondary CR-GNB Bloodstream Infections among CR-GNB Carriers in the Gastroenterology Department: A Retrospective Case-Control Study.Journal of clinical medicine · 2023Article
Corrections and comments
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Authors and funding
6 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundHyperkalemia increases the risk of mortality and cardiovascular-related hospitalizations in patients with hemodialysis. Predictors of hyperkalemia are yet to be identified. We aimed at developing a nomogram able to predict hyperkalemia in patients with hemodialysis.
methodsWe retrospectively screened patients with end-stage renal disease (ESRD) who had regularly received hemodialysis between Jan 1, 2017, and Aug 31, 2021, at Lishui municipal central hospital in China. The outcome for the nomogram was hyperkalemia, defined as serum potassium [K
resultsA total of 401 patients were enrolled in this study. 159 (39.65%) patients were hyperkalemia. All participants were divided into development (n = 256) and validation (n = 145) cohorts randomly. Predictors in this nomogram were the number of hemodialysis session, blood urea nitrogen (BUN), serum sodium, serum calcium, serum phosphorus, and diabetes. The ROC curve of the training set was 0.82 (95%CI 0.77, 0.88). Similar ROC curve was achieved at validation set 0.81 (0.74, 0.88). The calibration curve demonstrated that the prediction outcome was correlated with the observed outcome.
conclusionThis nomogram helps clinicians in predicting the risk of PEW and managing serum potassium in the patients with hemodialysis.
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