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      The Level of Urine Dipstick Proteinuria and Its Relation to the Risk of Incident Cholelithiasis

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          Abstract

          Background

          Previous studies have suggested the potential association between renal diseases and gallstone. The extent of proteinuria is recognized as a marker for the severity of chronic kidney disease. However, little data is available to identify the risk of incident gallstone according to the level of proteinuria.

          Methods

          Using a data of 207,356 Koreans registered in National Health Insurance Database, we evaluated the risk of gallstone according to the levels of urine dipstick proteinuria through an average follow-up of 4.36 years. Study subjects were divided into 3 groups by urine dipstick proteinuria (negative: 0, mild: 1+ and heavy: 2+ or greater). Multivariate Cox-proportional hazard model was used to assess the adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) for incident cholelithiasis according to urine dipstick proteinuria.

          Results

          The group with higher urine dipstick proteinuria had worse metabolic, renal, and hepatic profiles than those without proteinuria, which were similarly observed in the group with incident cholelithiasis. The heavy proteinuria group had the greatest incidence of cholelithiasis (2.39%), followed by mild (1.54%) and negative proteinuria groups (1.39%). Analysis for multivariate Cox-proportional hazard model indicated that the heavy proteinuria group had higher risk of cholelithiasis than other groups (negative: reference, mild proteinuria: HR 0.97 [95% CI, 0.74–1.26], and heavy proteinuria: HR 1.46 [95% CI, 1.09–1.96]).

          Conclusion

          Urine dipstick proteinuria of 2+ or greater was significantly associated with increased risk for incident gallstone.

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          Most cited references29

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          A new equation to estimate glomerular filtration rate.

          Equations to estimate glomerular filtration rate (GFR) are routinely used to assess kidney function. Current equations have limited precision and systematically underestimate measured GFR at higher values. To develop a new estimating equation for GFR: the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation. Cross-sectional analysis with separate pooled data sets for equation development and validation and a representative sample of the U.S. population for prevalence estimates. Research studies and clinical populations ("studies") with measured GFR and NHANES (National Health and Nutrition Examination Survey), 1999 to 2006. 8254 participants in 10 studies (equation development data set) and 3896 participants in 16 studies (validation data set). Prevalence estimates were based on 16,032 participants in NHANES. GFR, measured as the clearance of exogenous filtration markers (iothalamate in the development data set; iothalamate and other markers in the validation data set), and linear regression to estimate the logarithm of measured GFR from standardized creatinine levels, sex, race, and age. In the validation data set, the CKD-EPI equation performed better than the Modification of Diet in Renal Disease Study equation, especially at higher GFR (P < 0.001 for all subsequent comparisons), with less bias (median difference between measured and estimated GFR, 2.5 vs. 5.5 mL/min per 1.73 m(2)), improved precision (interquartile range [IQR] of the differences, 16.6 vs. 18.3 mL/min per 1.73 m(2)), and greater accuracy (percentage of estimated GFR within 30% of measured GFR, 84.1% vs. 80.6%). In NHANES, the median estimated GFR was 94.5 mL/min per 1.73 m(2) (IQR, 79.7 to 108.1) vs. 85.0 (IQR, 72.9 to 98.5) mL/min per 1.73 m(2), and the prevalence of chronic kidney disease was 11.5% (95% CI, 10.6% to 12.4%) versus 13.1% (CI, 12.1% to 14.0%). The sample contained a limited number of elderly people and racial and ethnic minorities with measured GFR. The CKD-EPI creatinine equation is more accurate than the Modification of Diet in Renal Disease Study equation and could replace it for routine clinical use. National Institute of Diabetes and Digestive and Kidney Diseases.
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            Cohort Profile: The National Health Insurance Service-National Sample Cohort (NHIS-NSC), South Korea.

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              The burden of selected digestive diseases in the United States.

              Gastrointestinal (GI) and liver diseases inflict a heavy economic burden. Although the burden is considerable, current and accessible information on the prevalence, morbidity, and cost is sparse. This study was undertaken to estimate the economic burden of GI and liver disease in the United States for use by policy makers, health care providers, and the public. Data were extracted from a number of publicly available and proprietary national databases to determine the prevalence, direct costs, and indirect costs for 17 selected GI and liver diseases. Indirect cost calculations were purposefully very conservative. These costs were compared with National Institutes of Health (NIH) research expenditures for selected GI and liver diseases. The most prevalent diseases were non-food-borne gastroenteritis (135 million cases/year), food-borne illness (76 million), gastroesophageal reflux disease (GERD; 19 million), and irritable bowel syndrome (IBS; 15 million). The disease with the highest annual direct costs in the United States was GERD ($9.3 billion), followed by gallbladder disease ($5.8 billion), colorectal cancer ($4.8 billion), and peptic ulcer disease ($3.1 billion). The estimated direct costs for these 17 diseases in 1998 dollars were $36.0 billion, with estimated indirect costs of $22.8 billion. The estimated direct costs for all digestive diseases were $85.5 billion. Total NIH research expenditures were $676 million in 2000. GI and liver diseases exact heavy economic and social costs in the United States. Understanding the prevalence and costs of these diseases is important to help set priorities to reduce the burden of illness.
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                Author and article information

                Journal
                J Epidemiol
                J Epidemiol
                JE
                Journal of Epidemiology
                Japan Epidemiological Association
                0917-5040
                1349-9092
                5 January 2021
                18 January 2020
                2021
                : 31
                : 1
                : 59-64
                Affiliations
                [1 ]Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University, School of Medicine, Seoul, Korea
                [2 ]Departments of Preventive Medicine, School of Medicine, Kyung Hee University, Seoul, Korea
                [3 ]Ewha Institute of Convergence Medicine, Ewha Womans University Mokdong Hospital, Seoul, Korea
                [4 ]Department of Occupational and Environment Medicine, College of Medicine, Ewha Womans University, Seoul, Korea
                [5 ]Department of Internal Medicine, Veterans Healthcare Service Medical Center, Seoul, Korea
                [6 ]Division of Gastroenterology and Hepatology, Department of Internal Medicine, Kyung Hee University School of Medicine, Seoul, Korea
                [7 ]Department of Anesthesiology and Pain Medicine, Kyung Hee University Hospital, Seoul, Korea
                [8 ]Departments of Occupational and Environmental Medicine, School of Medicine, Kyung Hee University, Seoul, Korea
                Author notes
                Address for correspondence. Jae-Hong Ryoo, MD, PhD, Departments of Occupational and Environmental Medicine, School of Medicine, Kyung Hee University, 1 Hoegi-dong, Dongdaemun-gu, Seoul 130-701, Korea (e-mail: armani131@ 123456naver.com ).
                Author information
                http://orcid.org/0000-0003-4703-9917
                http://orcid.org/0000-0002-5709-9350
                http://orcid.org/0000-0002-5232-1426
                Article
                JE20190223
                10.2188/jea.JE20190223
                7738639
                31956168
                279ec907-579f-461a-bfd1-8a8fcb5357e9
                © 2020 Sung Keun Park et al.

                This is an open access article distributed under the terms of Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 3 September 2019
                : 26 December 2019
                Categories
                Original Article
                Clinical Epidemiology

                urine dipstick test,proteinuria,cholelithiasis
                urine dipstick test, proteinuria, cholelithiasis

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