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Anatomic brain disease in hemodialysis patients: a cross-sectional study.

ABSTRACT: Although dialysis patients are at high risk of stroke and have a high burden of cognitive impairment, there are few reports of anatomic brain findings in the hemodialysis population. Using magnetic resonance imaging of the brain, we compared the prevalence of brain abnormalities in hemodialysis patients with that in a control population without known kidney disease.Cross-sectional cohort.45 maintenance hemodialysis patients and 67 controls without reported kidney disease, both without history of known stroke.The primary predictor was dialysis status. Covariates included demographics (age, race, and sex), vascular risk factors (diabetes and hypertension), and cardiovascular disease (coronary artery disease and congestive heart failure).Magnetic resonance imaging of the brain features, including severity of white matter disease and cerebral atrophy (sulcal prominence and ventricular atrophy), hippocampal size, and small-/large-vessel infarcts.Semiquantitative scale (0-9 for white matter disease and cerebral atrophy, 0-3 for hippocampal size) and infarct prevalence.Mean ages of hemodialysis patients and controls were 55 ± 17 (SD) and 53 ± 13 years, respectively. In comparison to controls, hemodialysis patients had more severe white matter disease (1.6 vs 0.7) and cerebral atrophy (sulcal prominence, 2.3 vs 0.6; ventricular enlargement, 2.3 vs 0.9; hippocampal size, 1.3 vs 1.0), with all P < 0.001. In multivariable analyses, hemodialysis status was associated independently with worse white matter disease and atrophy grades. Hemodialysis patients also had a higher prevalence of small- (17.8%) and large- (7.8%) vessel infarcts than controls (combined, 22% vs 0%; P < 0.001).The dialysis cohort likely is healthier than the overall US hemodialysis population, partly limiting generalizability.Hemodialysis patients have more white matter disease and cerebral atrophy compared with controls without known kidney disease. Hemodialysis patients also have a high prevalence of unrecognized infarcts.

SUBMITTER: Drew DA

PROVIDER: S-EPMC3546146 | biostudies-literature | 2013 Feb

REPOSITORIES: biostudies-literature

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Anatomic brain disease in hemodialysis patients: a cross-sectional study.

Drew David A DA Bhadelia Rafeeque R Tighiouart Hocine H Novak Vera V Scott Tammy M TM Lou Kristina V KV Shaffi Kamran K Weiner Daniel E DE Sarnak Mark J MJ

American journal of kidney diseases : the official journal of the National Kidney Foundation 20121003 2

<h4>Background</h4>Although dialysis patients are at high risk of stroke and have a high burden of cognitive impairment, there are few reports of anatomic brain findings in the hemodialysis population. Using magnetic resonance imaging of the brain, we compared the prevalence of brain abnormalities in hemodialysis patients with that in a control population without known kidney disease.<h4>Study design</h4>Cross-sectional cohort.<h4>Setting & participants</h4>45 maintenance hemodialysis patients a ...[more]

PMID: 23040011

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Project description:BackgroundHemodialysis is life-saving and life-altering, affecting patients' quality of life. The management of dialysis patients often focuses on renal replacement therapy to improve clinical outcomes and remove excess fluid; however, the patient's quality of life is often not factored in.ObjectiveThis study aimed to explore the factors affecting the quality of life of patients on dialysis in Palestine using the Kidney Disease Quality of Life (KDQOL-SFTM) questionnaire.MethodsA multicenter cross-sectional observational study was conducted at multiple dialysis centers in Palestine, including 271 participants receiving renal replacement therapy. Demographics, socioeconomic, and disease status data were collected. The Arabic version of KDQOL-SFTM was used to assess dialysis patient quality of life. Statistical analysis was performed using SPSS to find correlations among patient factors and the questionnaire's three main domains, the kidney disease component summaries (KDCS), mental component summaries (MCS), and physical component summaries (PCS).ResultsMean KDCS, MCS, and PCS scores were 59.86, 47.10, and 41.15, respectively. KDC scores were lower among participants aged 40 years or older, with lower incomes, and with diabetes. PCS and MCS scores were lower among patients aged >40, less educated, and lower-income participants. There was a positive correlation between MCS and KDCS (r = 0.634, P-value <0.001), PCS and KDCS (r = 0.569, P-value <0.001), as well as MCS and PCS (r = 0.680, P-value <0.001).ConclusionIn this study, the KDQOL-SFTM questionnaire revealed lower PCS scores among hemodialysis patients in Palestine. Furthermore, the three domains of the questionnaire were adversely affected by patient income and education status. In addition, physical role, work status, and emotional role showed the lowest scores among the three main domains. Therefore, continuous assessment of patients' quality of life during their journey of hemodialysis using the KDQOL-SFTM along with the clinical assessment will allow the healthcare professionals to provide interventions to optimize their care.

Project description:BACKGROUND:Both diabetes and hemodialysis can seriously impair patients' health related quality of life (HRQOL). This study seeks to obtain data which will help to address the factors associated with impaired HRQOL in hemodialysis patients with diabetes in Palestine. METHODS:A cross-sectional study was performed in multiple centers in the period from November 2016 to June 2017. We utilized the Arabic version of EuroQoL 5 Dimensions 5 Levels (EQ-5D-5L) scale and EuroQol-visual analogue scale (EQ-VAS) to measure patients' HRQOL. The study was conducted in six dialysis centers in the North of West Bank, Palestine. Descriptive and comparative statistics were used to describe clinical and socio-demographic features of patients. Multiple linear regression analysis was used to determine the association between clinical and socio-demographic factors and HRQOL score. RESULTS:One hundred and forty one diabetic patients undergoing hemodialysis were enrolled in our study. Overall, 52.5% of them (74 patients) were males; the patients had a mean age of 60.32 with 52.5% of them aged below 60. The mean ± standard deviation of EQ-5D-5L index and EQ-VAS score was 0.314 ± 0.4 and 50.85±22.43, respectively. The findings of this study suggest that female patients, uneducated patients, unemployed patients, unmarried patients, and patients with more chronic diseases and comorbidities had a significant poor HRQOL scores (p values <0.05). Variables such as marital status and occupational status were significantly (p < 0.05) associated with the QOL score. More specifically, married status and employed patients positively associated with QOL score (β = 0.22; p = 0.016 and β = 0.27; p = 0.013, respectively). CONCLUSIONS:Among diabetic patients undergoing hemodialysis, married status and being employed were associated with modestly higher scores of QOL. We recommend that healthcare providers give more attention to diabetic dialysis patients who are unemployed and unmarried, as they are at a higher risk of having impaired HRQOL.

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Anatomic brain disease in hemodialysis patients: a cross-sectional study.

Publications

Anatomic brain disease in hemodialysis patients: a cross-sectional study.

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