1
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      A Systematic Study of the Prevalence and Risk Factors of CKD in Uddanam, India

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Introduction

          Despite reports of a high prevalence of chronic kidney disease (CKD) from the coastal Uddanam region of Andhra Pradesh, India, there are no accurate data on the distribution of kidney function abnormalities and CKD risk factors in this region.

          Methods

          A total of 2419 participants were recruited through multistage cluster random sampling from 67 villages. Serum creatinine and urine protein creatinine ratio were measured using validated methodologies. All abnormal estimated glomerular filtration rate (eGFR) and urine protein creatinine ratio values were reconfirmed after 3 months. A range of sociodemographic factors were evaluated for their association with CKD using Poisson regression.

          Results

          Of 2402 eligible subjects (mean ± SD age, 45.67 ± 13.29 years; 51% female), 506 (21.07%) had CKD (mean ± SD age, 51.79 ± 13.12 years; 41.3% female). A total of 246 (10.24%) had eGFR <60 ml/min/1.73 m 2, whereas 371 (15.45%) had an elevated urine protein creatinine ratio (>0.15 g/g). The poststratified estimates, adjusted for age and sex distribution of the region for CKD prevalence, are 18.7% (range, 16.4%–21.0%) overall and 21.3% (range, 18.2%–24.4% ) and 16.2% (range, 13.7%–18.8%) in men and women, respectively. Older age, male sex, tobacco use, hypertension, and family history of CKD were independently associated with CKD. Compared with those with higher eGFR, those with eGFR <60 ml/min/1.73m 2 were older, were more likely to be uneducated, manual laborers/farmers, or tobacco users, and were more likely to have hypertension, a family history of CKD, a diagnosis of heart disease, and a lower body mass index. Among those with low eGFR, there was no difference between those with urine protein creatinine ratio <0.15 or >0.15, except a lower frequency of males in the former.

          Conclusion

          We confirmed the high prevalence of CKD in the adult population of Uddanam. The cause was not apparent in a majority. Subjects with a low eGFR with or without elevated proteinuria were phenotypically distinct from those with proteinuria and preserved eGFR. Our data suggest the need to apply a population-based approach to screening and prevention and studies to understand the causes of CKD in this region.

          Graphical abstract

          Related collections

          Most cited references18

          • Record: found
          • Abstract: found
          • Article: not found

          Chronic kidney disease: global dimension and perspectives.

          Chronic kidney disease is defined as a reduced glomerular filtration rate, increased urinary albumin excretion, or both, and is an increasing public health issue. Prevalence is estimated to be 8-16% worldwide. Complications include increased all-cause and cardiovascular mortality, kidney-disease progression, acute kidney injury, cognitive decline, anaemia, mineral and bone disorders, and fractures. Worldwide, diabetes mellitus is the most common cause of chronic kidney disease, but in some regions other causes, such as herbal and environmental toxins, are more common. The poorest populations are at the highest risk. Screening and intervention can prevent chronic kidney disease, and where management strategies have been implemented the incidence of end-stage kidney disease has been reduced. Awareness of the disorder, however, remains low in many communities and among many physicians. Strategies to reduce burden and costs related to chronic kidney disease need to be included in national programmes for non-communicable diseases. Copyright © 2013 Elsevier Ltd. All rights reserved.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            KDIGO 2012 clinical practice guideline for the evaluation and management of chronic kidney disease

              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              A simplified general method for cluster-sample surveys of health in developing countries.

              General guidelines are presented for the use of cluster-sample surveys for health surveys in developing countries. The emphasis is on methods which can be used by practitioners with little statistical expertise and no background in sampling. A simple self-weighting design is used, based on that used by the World Health Organization's Expanded Programme on Immunization (EPI). Topics covered include sample design, methods of random selection of areas and households, sample-size calculation and the estimation of proportions, ratios and means with standard errors appropriate to the design. Extensions are discussed, including stratification and multiple stages of selection. Particular attention is paid to allowing for the structure of the survey in estimating sample size, using the design effect and the rate of homogeneity. Guidance is given on possible values for these parameters. A spreadsheet is included for the calculation of standard errors.
                Bookmark

                Author and article information

                Contributors
                Journal
                Kidney Int Rep
                Kidney Int Rep
                Kidney International Reports
                Elsevier
                2468-0249
                16 October 2020
                December 2020
                16 October 2020
                : 5
                : 12
                : 2246-2255
                Affiliations
                [1 ]George Institute for Global Health, University of New South Wales, New Delhi, India
                [2 ]Manipal Academy of Higher Education, Manipal, India
                [3 ]Samarpan Kidney Center, Bhopal, India
                [4 ]The Energy and Resources Institute, New Delhi, India
                [5 ]Pandit B.D. Sharma University of Health Sciences, Rohtak, India
                [6 ]Kidney and Urology Institute, Medanta Hospital, Gurgaon, India
                [7 ]Department of Community Health, Christian Medical College, Vellore, India
                [8 ]School of Public Health, Postgraduate Institute of Medical Education and Research, Chandigarh, India
                [9 ]Department of Biochemistry, All Indian Institute of Medical Sciences, New Delhi, India
                [10 ]Department of Biostatistics and Health Informatics, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, India
                [11 ]Deparment of Nephrology, Sri Venkateswara Institute of Medical Sciences, Tirupati, India
                [12 ]Noncommunicable Disease Division, Indian Council of Medical Research, New Delhi, India
                [13 ]Department of Health, Government of Andhra Pradesh, Andhra Pradesh, India
                [14 ]School of Public Health, Imperial College, London, UK
                Author notes
                [] Correspondence: Vivekanand Jha, The George Institute for Global Health, 310-11 Elegance Tower, Jasola District Centre, New Delhi 110025, India. vjha@ 123456georgeinstitute.org.in
                [15]

                BG, OJ, and AG are co-first authors.

                Article
                S2468-0249(20)31642-9
                10.1016/j.ekir.2020.10.004
                7710882
                33305118
                3675a345-dccc-4008-8489-a9d010567fe7
                © 2020 International Society of Nephrology. Published by Elsevier Inc.

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 19 August 2020
                : 18 September 2020
                : 4 October 2020
                Categories
                Clinical Research

                chronic kidney disease,ckd of unknown etiology,hypertension,proteinuria,risk factors,uddanam

                Comments

                Comment on this article