Background: The contribution of albuminuria to the increased risk of incident end-stage renal disease (ESRD) in individuals with a family history of ESRD has not been well studied.
Study Design: Prospective cohort study. STUDY SETTING & PARTICIPANTS: We analyzed data for family history of ESRD collected from 19,409 participants of the Renal REGARDS (Reasons for Geographic and Racial Differences in Stroke) cohort study.
Predictor: Family history of ESRD was ascertained by asking "Has anyone in your immediate family ever been told that he or she had kidney failure? This would be someone who is on or had been on dialysis or someone who had a kidney transplant."
Study Outcomes: Incidence rate for ESRD.
Measurements: Morning urine albumin-creatinine ratio (ACR) and estimated glomerular filtration rate (eGFR). Incident cases of ESRD were identified through the US Renal Data System.
Results: A family history of ESRD was reported by 11.1% of participants. Mean eGFRs for those with and without a family history of ESRD were 87.5 ± 22.2 (SD) and 86.5 ± 19.3 mL/min/1.73 m(2), respectively (P = 0.05) and the respective geometric mean ACRs were 12.2 and 9.7 mg/g (P < 0.001). ESRD incidence rates for those with and without a family history of ESRD were 244.3 and 106.1/100,000 person-years, respectively. After adjusting for age, sex, and race, the ESRD HR for those with versus those without a family history of ESRD was 2.13 (95% CI, 1.18-3.83). Adjustment for comorbid conditions and socioeconomic status attenuated this association (HR, 1.82; 95% CI, 1.00-3.28), and further adjustment for baseline eGFR and ACR completely attenuated the association between family history of ESRD and incident ESRD (HR, 1.12; 95% CI, 0.69-1.80).
Limitations: The report of a family history of ESRD was not validated.
Conclusion: Family history of ESRD is common in older Americans and the increased risk of ESRD associated with a family history reflects lower GFR, higher albuminuria, and comorbid conditions.
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http://dx.doi.org/10.1053/j.ajkd.2011.09.018 | DOI Listing |
Sci Rep
December 2024
Department of Applied Mathematics, Faculty of Mathematical Science, Ferdowsi University of Mashhad, Mashhad, Iran.
This study presents a web application for predicting cardiovascular disease (CVD) and hypertension (HTN) among mine workers using machine learning (ML) techniques. The dataset, collected from 699 participants at the Gol-Gohar mine in Iran between 2016 and 2020, includes demographic, occupational, lifestyle, and medical information. After preprocessing and feature engineering, the Random Forest algorithm was identified as the best-performing model, achieving 99% accuracy for HTN prediction and 97% for CVD, outperforming other algorithms such as Logistic Regression and Support Vector Machines.
View Article and Find Full Text PDFNat Commun
December 2024
Laboratory of Biochemistry, Wageningen University, Stippeneng 4, 6708WE, Wageningen, the Netherlands.
The Auxin Response Factors (ARFs) family of transcription factors are the central mediators of auxin-triggered transcriptional regulation. Functionally different classes of extant ARFs operate as antagonistic auxin-dependent and -independent regulators. While part of the evolutionary trajectory to the present auxin response functions has been reconstructed, it is unclear how ARFs emerged, and how early diversification led to functionally different proteins.
View Article and Find Full Text PDFMov Disord
December 2024
Department of Biomedical Sciences, Humanitas University, Milan, Italy.
Background And Objective: Recently, RAB32 has been identified as possibly linked to Parkinson's disease. We studied the prevalence and clinical correlates of the p.Ser71Arg variant in the RAB32 gene in a large case series of Italian patients with Parkinson's disease or atypical parkinsonism.
View Article and Find Full Text PDFNeurogastroenterol Motil
December 2024
Division of Pediatric Gastroenterology, Hepatology, and Nutrition, University of Miami School of Medicine, Miami, Florida, USA.
Background: There is a bidirectional relationship between sleep and pain disturbances. Sleep disturbances increase the risk for chronic pain, while chronic pain can interfere with sleep. Hence, we assessed the subjective sleep characteristics of youth with functional abdominal pain disorders (FAPDs) compared to healthy youth and examined associations with gastrointestinal symptoms.
View Article and Find Full Text PDFFront Public Health
December 2024
Department of Ophtalmology, Medical School, University of Pécs, Pécs, Hungary.
Background: Recent studies suggest that increased digital technology usage could be a factor in the rising occurrence and severity of headache episodes. The purpose of this cross-sectional study was to determine whether the severity of primary headaches (migraine and tension-type headache) is associated with problematic internet use taking many covariates into account.
Methods: We conducted an online cross-sectional survey using a quantitative, descriptive questionnaire, targeting university students enrolled in correspondence courses, aged 18 to 65.
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