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      High Prevalence of CKD of Unknown Etiology in Uddanam, India

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          Abstract

          Introduction

          There were concerns raised regarding a high prevalence of chronic kidney disease (CKD) in Uddanam, a fertile subtropical low-altitude territory in the southern Indian state of Andhra Pradesh. The present study was undertaken to ascertain the prevalence of CKD, disease characteristics, and risk factor profile in this area.

          Methods

          We selected 2210 subjects (age >18 years) using multistage sampling. After obtaining demographic and anthropometric data, urinary protein-creatinine ratio, serum creatinine, and blood glucose were measured in all the subjects. Glomerular filtration rate was estimated (eGFR) using the Modification of Diet in Renal Disease equation.

          Results

          Mean age of the subjects was 43.2 ± 14.2 years (range: 18–98), 44.3% were men and 55.7% were women. Mean eGFR of subjects was 94.3 ± 33.4. Low eGFR (<60 ml/min per 1.73 m 2) was seen in 307 (13.98%) patients with a mean eGFR of 34.8 ± 16.6. The prevalence of subjects having low eGFR and with proteinuria (CKD) was 18.23%. Major risk factors, such as diabetes, long-standing hypertension, and significant proteinuria, were absent in 73% of patients with CKD, implying that a significant proportion of the population is afflicted with the entity “CKD of unknown etiology (CKDu).”

          Conclusion

          The prevalence of CKD and CKDu in Uddanam is much higher than other earlier studies in either rural or urban communities in India. We suggest that there is a dire need to review health policies and allocate resources for prevention and treatment of CKD in the Uddanam region.

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          Most cited references13

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          Sample size calculation in medical studies

          Optimum sample size is an essential component of any research. The main purpose of the sample size calculation is to determine the number of samples needed to detect significant changes in clinical parameters, treatment effects or associations after data gathering. It is not uncommon for studies to be underpowered and thereby fail to detect the existing treatment effects due to inadequate sample size. In this paper, we explain briefly the basic principles of sample size calculations in medical studies.
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            Use of single voided urine samples to estimate quantitative proteinuria.

            Quantitation of urinary protein excretion is used extensively for diagnostic and prognostic purposes and to assess the effects of therapy. The method most commonly used to measure urinary protein relies on 24-hour urine collections, which are time consuming, cumbersome, and often inaccurate. We reasoned that the urinary protein/creatinine ratio in a single voided urine sample should correlate well with the quantity of protein in timed urine collections. In a study of 46 specimens we found an excellent correlation between the protein content of a 24-hour urine collection and the protein/creatinine ratio in a single urine sample. The best correlation was found when samples were collected after the first voided morning specimen and before bedtime. We conclude that the determination of the protein/creatinine ratio in single urine samples obtained during normal daylight activity, when properly interpreted by taking into consideration the effect of different rates of creatinine excretion, can replace the 24-hour urine collection in the clinical quantitation of proteinuria. In the presence of stable renal function, a protein/creatinine ratio of more than 3.5 (mg/mg) can be taken to represent "nephrotic-range" proteinuria, and a ratio of less than 0.2 is within normal limits.
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              Uncertain etiologies of proteinuric-chronic kidney disease in rural Sri Lanka.

              The global prevalence of chronic kidney disease (CKD) of uncertain etiology may be underreported. Community-level epidemiological studies are few due to the lack of national registries and poor focus on the reporting of non-communicable diseases. Here we describe the prevalence of proteinuric-CKD and disease characteristics of three rural populations in the North Central, Central, and Southern Provinces of Sri Lanka. Patients were selected using the random cluster sampling method and those older than 19 years of age were screened for persistent dipstick proteinuria. The prevalence of proteinuric-CKD in the Medawachchiya region (North Central) was 130 of 2600 patients, 68 of 709 patients in the Yatinuwara region (Central), and 66 of 2844 patients in the Hambantota region (Southern). The mean ages of these patients with CKD ranged from 44 to 52 years. Diabetes and long-standing hypertension were the main risk factors of CKD in the Yatinuwara and Hambantota regions. Age, exceeding 60 years, and farming were strongly associated with proteinuric-CKD in the Medawachchiya region; however, major risk factors were uncertain in 87% of these patients. Of these patients, 26 underwent renal biopsy; histology indicated tubulointerstitial disease. Thus, proteinuric-CKD of uncertain etiology is prevalent in the North Central Province of Sri Lanka. In contrast, known risk factors were associated with CKD in the Central and Southern Provinces.
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                Author and article information

                Contributors
                Journal
                Kidney Int Rep
                Kidney Int Rep
                Kidney International Reports
                Elsevier
                2468-0249
                16 October 2018
                March 2019
                16 October 2018
                : 4
                : 3
                : 380-389
                Affiliations
                [1 ]GITAM Institute of Medical Sciences and Research, GITAM deemed to be University, Gandhi Nagar, Visakhapatnam, India
                [2 ]Department of Biotechnology, GITAM Institute of Technology, GITAM deemed to be University, Gandhi Nagar, Visakhapatnam, India
                [3 ]Department of Nephrology, Andhra Medical College, Visakhapatnam, India
                [4 ]GITAM Institute of Science, GITAM deemed to be University, Gandhi Nagar, Visakhapatnam, India
                [5 ]Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
                [6 ]Department of Medicine, NYU Langone Transplant Institute, NYU Langone Health, New York, New York, USA
                [7 ]Department of Social and Preventive Medicine, Rangaraya Medical College, Kakinada, Andhra Pradesh, India
                [8 ]Department of Community Medicine, Andhra Medical College, Visakhapatnam, India
                [9 ]Department of Community Medicine, Gayatri Vidya Parishad Institute of Health Care and Medical Technology, Visakhapatnam, India
                Author notes
                [] Correspondence: Ravi Raju Tatapudi, Department of Nephrology, GITAM Institute of Medical Sciences and Research, GITAM deemed to be University, Gandhi Nagar, Visakhapatnam, Andhra Pradesh 530045, India. ravitatapudi@ 123456gmail.com
                Article
                S2468-0249(18)30228-6
                10.1016/j.ekir.2018.10.006
                6409405
                30899865
                5439c50c-7255-4041-b6cc-ac7e74b63e32
                © 2018 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
                : 21 July 2018
                : 14 September 2018
                : 8 October 2018
                Categories
                Clinical Research

                chronic kidney disease,proteinuria,uddanam
                chronic kidney disease, proteinuria, uddanam

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