Treffer: Prediction model for cognitive impairment in maintenance hemodialysis patients: the role of diabetes.

Title:
Prediction model for cognitive impairment in maintenance hemodialysis patients: the role of diabetes.
Authors:
Xu J; Department of Nephrology, The People's Hospital of Pudong New District in Shanghai, Shanghai, China., Li H; Department of Internal Medicine, The People's Hospital of Pudong New District in Shanghai, Shanghai, China., Qi H; Department of Nephrology, The People's Hospital of Pudong New District in Shanghai, Shanghai, China., Zhao X; Department of Nephrology, The People's Hospital of Pudong New District in Shanghai, Shanghai, China.
Source:
Frontiers in endocrinology [Front Endocrinol (Lausanne)] 2025 Nov 26; Vol. 16, pp. 1594605. Date of Electronic Publication: 2025 Nov 26 (Print Publication: 2025).
Publication Type:
Journal Article
Language:
English
Journal Info:
Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101555782 Publication Model: eCollection Cited Medium: Print ISSN: 1664-2392 (Print) Linking ISSN: 16642392 NLM ISO Abbreviation: Front Endocrinol (Lausanne) Subsets: MEDLINE
Imprint Name(s):
Original Publication: [Lausanne : Frontiers Research Foundation]
MeSH Terms:
Cognitive Dysfunction*/diagnosis , Cognitive Dysfunction*/epidemiology , Cognitive Dysfunction*/etiology , Renal Dialysis*/adverse effects , Renal Dialysis*/psychology , Predictive Learning Models* , Diabetic Nephropathies*/psychology , Diabetic Nephropathies*/therapy , Diabetes Mellitus*/psychology, Risk Factors ; Area Under Curve ; Logistic Models ; Mental Status and Dementia Tests ; Hand Strength ; Exercise Test ; Nomograms ; Decision Support Techniques ; Clinical Decision-Making ; Cross-Sectional Studies ; Humans ; Male ; Female ; Middle Aged ; Aged ; Predictive Value of Tests
References:
Neurobiol Dis. 2015 Dec;84:22-38. (PMID: 25926349)
Am J Kidney Dis. 2001 Jan;37(1 Suppl 2):S66-70. (PMID: 11158865)
Lancet. 2021 Aug 28;398(10302):786-802. (PMID: 34175022)
Clin J Am Soc Nephrol. 2010 Aug;5(8):1429-38. (PMID: 20576825)
Aging Ment Health. 2016 Aug;20(8):840-7. (PMID: 25959123)
Lancet Neurol. 2006 Jan;5(1):64-74. (PMID: 16361024)
J Gerontol A Biol Sci Med Sci. 2017 Jun 01;72(6):846-854. (PMID: 28177065)
Am J Kidney Dis. 2001 Oct;38(4 Suppl 4):S11-7. (PMID: 11602456)
Naunyn Schmiedebergs Arch Pharmacol. 2021 Sep;394(9):1989. (PMID: 34269857)
Intern Med J. 2021 Dec;51(12):2034-2041. (PMID: 32672898)
Am J Kidney Dis. 2017 Jun;69(6):780-787. (PMID: 28131531)
JAMA. 2018 Nov 20;320(19):2020-2028. (PMID: 30418471)
J Nephrol. 2022 Apr;35(3):931-942. (PMID: 34655416)
PLoS One. 2016 Dec 2;11(12):e0166470. (PMID: 27911914)
Neurology. 2020 Jul 14;95(2):e166-e178. (PMID: 32580974)
J Am Soc Nephrol. 2018 Apr;29(4):1317-1325. (PMID: 29496888)
Int J Nurs Sci. 2019 Dec 11;7(1):60-65. (PMID: 32099861)
Dement Neuropsychol. 2017 Jul-Sep;11(3):221-226. (PMID: 29213518)
Saudi J Kidney Dis Transpl. 2020 Jul-Aug;31(4):767-774. (PMID: 32801237)
Neurology. 2002 Apr 23;58(8):1175-81. (PMID: 11971083)
BMC Nephrol. 2017 May 12;18(1):158. (PMID: 28499360)
Lancet Neurol. 2020 Sep;19(9):758-766. (PMID: 32730766)
BMC Neurol. 2023 Oct 12;23(1):367. (PMID: 37828422)
Lancet Public Health. 2020 Dec;5(12):e661-e671. (PMID: 33271079)
BMC Nephrol. 2019 Mar 6;20(1):83. (PMID: 30841868)
Lancet. 2020 Aug 8;396(10248):413-446. (PMID: 32738937)
J Am Heart Assoc. 2017 Oct 10;6(10):. (PMID: 29018022)
BMC Bioinformatics. 2011 Mar 17;12:77. (PMID: 21414208)
Front Psychol. 2022 Jan 25;13:835486. (PMID: 35145465)
Ann Neurol. 1990 Apr;27(4):428-37. (PMID: 2353798)
Am J Kidney Dis. 2010 Oct;56(4):693-703. (PMID: 20800327)
Arch Neurol. 2004 May;61(5):661-6. (PMID: 15148141)
J Magn Reson Imaging. 2022 Dec;56(6):1621-1649. (PMID: 35852470)
Adv Chronic Kidney Dis. 2009 Nov;16(6):449-58. (PMID: 19801135)
J Evol Med Dent Sci. 2019;8(36):2818-2822. (PMID: 31632935)
BMC Nephrol. 2020 May 6;21(1):166. (PMID: 32375664)
BMJ Open. 2013 Apr 10;3(4):. (PMID: 23578683)
Asia Pac J Clin Nutr. 2020;29(4):712-723. (PMID: 33377365)
Front Endocrinol (Lausanne). 2022 Mar 28;13:828162. (PMID: 35418951)
J Adv Nurs. 2023 Oct;79(10):3691-3706. (PMID: 37357980)
Ann Gen Psychiatry. 2011 Aug 25;10:20. (PMID: 21867512)
Contributed Indexing:
Keywords: TUGT; cognitive impairment; diabetes; gait speed; handgrip strength; hemodialysis
Entry Date(s):
Date Created: 20251212 Date Completed: 20251219 Latest Revision: 20251219
Update Code:
20251219
PubMed Central ID:
PMC12689383
DOI:
10.3389/fendo.2025.1594605
PMID:
41384016
Database:
MEDLINE

Weitere Informationen

Objective: The aim of this study was to identify risk factors for cognitive impairment (CI) in maintenance hemodialysis (MHD) patients and to develop a predictive model.
Methods: A total of 151 MHD patients from our hospital were recruited between July 2020 and April 2021. Sociodemographic, clinical, and laboratory data were collected. Cognitive function was assessed using the Mini-Mental State Examination (MMSE), whereas physical performance was evaluated using handgrip strength, the Timed Up and Go Test (TUGT), and 4-m gait speed. Univariate and multivariate logistic regression analyses identified risk factors, which were used to develop original and simplified predictive models.
Results: CI was present in 43 patients (28.5%). The simplified model demonstrated discriminatory ability comparable to that of the original model (AUC: 0.737; 95% CI: 0.648-0.818) and was easier to use. A robust nomogram was developed on the basis of the simplified model. Decision curve analysis (DCA) confirmed the clinical utility of both models. Diabetes was identified as an independent risk factor, whereas dialysis duration was not associated with CI.
Conclusions: This study provides a simple predictive model for CI in MHD patients, which could aid in clinical decision-making.
(Copyright © 2025 Xu, Li, Qi and Zhao.)

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.