ArticleBMC neurology2023
Prediction model for cognitive impairment in maintenance hemodialysis patients.
Article in BMC neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.
- Risk prediction models for cognitive impairment in patients with chronic kidney disease: a systematic review.Frontiers in public health · 2026Pooled it
- Serum BDNF and cognitive risk in maintenance hemodialysis: a machine learning study.Renal failure · 2026Article
- Bone turnover markers associated with cognitive dysfunction in patients undergoing hemodialysis: a cross-sectional study.JBMR plus · 2026Article
- High-density lipoprotein cholesterol and cognitive function in patients undergoing hemodialysis.Clinical and experimental nephrology · 2026Article
- Observational
- Effects of high-sensitivity C-reactive protein and left ventricular hypertrophy on cognitive function in hemodialysis patients.Renal failure · 2025Article
- Association of anemia and cognitive impairment in patients undergoing maintenance hemodialysis: a cross-sectional study.BMC nephrology · 2025Article
- Prevalence and Pattern of Cognitive Impairment in Patients on Maintenance Hemodialysis.Cureus · 2025Article
- Prediction model for cognitive impairment in maintenance hemodialysis patients: the role of diabetes.Frontiers in endocrinology · 2025Article
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo explore the risk factors for cognitive impairment in patients undergoing maintenance hemodialysis (MHD) and construct a predictive model for cognitive impairment.
methodsA total of 146 patients with end-stage renal disease (ESRD) undergoing MHD were recruited at our hospital between December 2021 and April 2022. Cognitive function was assessed using the Montreal Cognitive Assessment (MoCA), and scores of < 26 were considered indicative of cognitive impairment. Risk factors were identified using a multivariate logistic regression model, and a receiver operating characteristic curve was applied to construct the prediction model. Cognitive impairment risk was categorized using a multifactorial prediction model based on the weight of evidence.
results46 patients with cognitive impairment were identified, with a prevalence of 31.5% in ESRD patients undergoing MHD. Multivariate logistic regression analyses indicated that the following factors were associated with an increased risk of cognitive impairment in patients undergoing MHD: aged 55.0-64.0 years (OR:6.24; 95%CI:1.81-21.48; P = 0.001), aged 65.0-74.0 years (OR:16.10; 95%CI:4.03-64.37; P < 0.001), aged ≥ 75.0 years (OR:90.22; 95%CI:16.86-482.86; P < 0.001), duration of dialysis ≥ 5 years (OR:3.99; 95%CI:1.58-10.04; P = 0.003), and current smoker (OR:4.61; 95%CI:1.46-14.57; P = 0.009). The predictive value of the constructed model based on the aforementioned factors for cognitive impairment was 84% (95%CI,77-91%). The prevalence of cognitive impairment for patients at low, moderately low, moderately high, and high risk was 0% (95%CI:0-17%), 10% (95%CI:3-22%), 32% (95%CI:16-52%), and 65% (95%CI:50-78%), respectively.
conclusionsThis study constructed a multifactorial prediction model with a high predictive value for cognitive impairment in patients with ESRD undergoing MHD.
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