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      Risk of kidney failure in patients with systemic sclerosis: a nationwide population-based study

      research-article
      1 , 2 , , 1 ,
      RMD Open
      BMJ Publishing Group
      systemic sclerosis, scleroderma, systemic, epidemiology

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          Abstract

          Objective

          Data from a decade ago have shown that patients with systemic sclerosis (SSc) have a higher risk of kidney failure than the general population. However, as the incidence of kidney failure due to SSc has been declining, the comparative risk of kidney failure between patients with SSc and the general population could have changed over time. We investigated the risk of kidney failure in patients with SSc compared with the general population, up to more recent years.

          Methods

          This was a nationwide population-based study using the Korean National Health Insurance Service database. Patients with claims data for SSc between 2010 and 2017 (n=2591) and 1:5 age-matched and sex-matched controls (n=12 955) were selected. The index date was the earliest date of claim for SSc between 2010 and 2017. The follow-up duration was from the index date to 2019. The adjusted HRs (aHRs) and 95% CI for kidney failure were estimated using multivariable Cox proportional hazard models.

          Results

          Over 5.2±2.6 years, the incidence rates of kidney failure in patients with SSc and controls were 2.88 and 0.35 per 1000 person-years, respectively. Patients with SSc had a significantly higher risk of kidney failure than controls (aHR=7.244, 95% CI=4.256 to 12.329). The effect size was larger in patients diagnosed with SSc between 2014 and 2017 (aHR=9.754, 95% CI=3.254 to 29.235) than in those diagnosed before 2010 (aHR=6.568, 95% CI=2.711 to 15.571) or between 2010 and 2013 (aHR=6.553, 95% CI=2.721 to 15.781).

          Conclusion

          The risk of kidney failure remains higher in patients with SSc than in the general population.

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          Most cited references29

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          Towards Actualizing the Value Potential of Korea Health Insurance Review and Assessment (HIRA) Data as a Resource for Health Research: Strengths, Limitations, Applications, and Strategies for Optimal Use of HIRA Data

          Health Insurance and Review Assessment (HIRA) in South Korea, also called National Health Insurance (NHI) data, is a repository of claims data collected in the process of reimbursing healthcare providers. Under the universal coverage system, having fee-for-services covering all citizens in South Korea, HIRA contains comprehensive and rich information pertaining to healthcare services such as treatments, pharmaceuticals, procedures, and diagnoses for almost 50 million beneficiaries. This corpus of HIRA data, which constitutes a large repository of data in the healthcare sector, has enormous potential to create value in several ways: enhancing the efficiency of the healthcare delivery system without compromising quality of care; adding supporting evidence for a given intervention; and providing the information needed to prevent (or monitor) adverse events. In order to actualize this potential, HIRA data need to actively be utilized for research. Thus understanding this data would greatly enhance this potential. We introduce HIRA data as an important source for health research and provide guidelines for researchers who are currently utilizing HIRA, or interested in doing so, to answer their research questions. We present the characteristics and structure of HIRA data. We discuss strengths and limitations that should be considered in conducting research with HIRA data and suggest strategies for optimal utilization of HIRA data by reviewing published research using HIRA data.
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            Risk factors for end-stage renal disease: 25-year follow-up.

            Few cohort studies have focused on risk factors for end-stage renal disease (ESRD). This investigation evaluated the prognostic value of several potential novel risk factors for ESRD after considering established risk factors. We studied 177 570 individuals from a large integrated health care delivery system in northern California who volunteered for health checkups between June 1, 1964, and August 31, 1973. Initiation of ESRD treatment was ascertained using US Renal Data System registry data through December 31, 2000. A total of 842 cases of ESRD were observed during 5 275 957 person-years of follow-up. This comprehensive evaluation confirmed the importance of established risk factors, including the following: male sex, older age, proteinuria, diabetes mellitus, lower educational attainment, and African American race, as well as higher blood pressure, body mass index, and serum creatinine level. The 2 most potent risk factors were proteinuria and excess weight. For proteinuria, the adjusted hazard ratios (HRs) were 7.90 (95% confidence interval [CI], 5.35-11.67) for 3 to 4+ on urine dipstick, 3.59 (2.82-4.57) for 1 to 2+ on urine dipstick, and 2.37 (1.79-3.14) for trace vs negative on urine dipstick. For excess weight, the HRs were 4.39 (95% CI, 3.38-5.70) for class 2 to class 3 obesity, 3.11 (2.51-3.84) for class 1 obesity, and 1.65 (1.39-1.97) for overweight vs normal weight. Furthermore, several independent novel risk factors for ESRD were identified, including lower hemoglobin level (1.33 [1.08-1.63] for lowest vs highest quartile), higher serum uric acid level (2.14 [1.65-2.77] for highest vs lowest quartile), self-reported history of nocturia (1.36 [1.17-1.58]), and family history of kidney disease (HR, 1.40 [95% CI, 1.02-1.90]). We confirmed the importance of established ESRD risk factors in this large cohort with broad sex and racial/ethnic representation. Lower hemoglobin level, higher serum uric acid level, self-reported history of nocturia, and family history of kidney disease are independent risk factors for ESRD.
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              Body mass index and risk for end-stage renal disease.

              Although interest in the relationship between obesity and kidney disease is increasing, few epidemiologic studies have examined whether excess weight is an independent risk factor for end-stage renal disease (ESRD). To determine the association between increased body mass index (BMI) and risk for ESRD. Historical (nonconcurrent) cohort study. A large integrated health care delivery system in northern California. 320,252 adult members of Kaiser Permanente who volunteered for screening health checkups between 1964 and 1985 and who had height and weight measured. The authors ascertained ESRD cases by matching data with the U.S. Renal Data System registry through 2000. A total of 1471 cases of ESRD occurred during 8,347,955 person-years of follow-up. Higher BMI was a risk factor for ESRD in multivariable models that adjusted for age, sex, race, education level, smoking status, history of myocardial infarction, serum cholesterol level, urinalysis proteinuria, urinalysis hematuria, and serum creatinine level. Compared with persons who had normal weight (BMI, 18.5 to 24.9 kg/m2), the adjusted relative risk for ESRD was 1.87 (95% CI, 1.64 to 2.14) for those who were overweight (BMI, 25.0 to 29.9 kg/m2), 3.57 (CI, 3.05 to 4.18) for those with class I obesity (BMI, 30.0 to 34.9 kg/m2), 6.12 (CI, 4.97 to 7.54) for those with class II obesity (BMI, 35.0 to 39.9 kg/m2), and 7.07 (CI, 5.37 to 9.31) for those with extreme obesity (BMI > or = 40 kg/m2). Higher baseline BMI remained an independent predictor for ESRD after additional adjustments for baseline blood pressure level and presence or absence of diabetes mellitus. Primary analyses were based on single measurements of exposures. High BMI is a common, strong, and potentially modifiable risk factor for ESRD.
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                Author and article information

                Journal
                RMD Open
                RMD Open
                rmdopen
                rmdopen
                RMD Open
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2056-5933
                2023
                9 November 2023
                : 9
                : 4
                : e003490
                Affiliations
                [1 ]departmentDivision of Rheumatology, Department of Internal Medicine , Ringgold_37991Yonsei University College of Medicine , Seoul, Korea (the Republic of)
                [2 ]departmentDepartment of Statistics and Actuarial Science , Ringgold_35016Soongsil University , Seoul, Korea (the Republic of)
                Author notes
                [Correspondence to ] Min-Chan Park; mcpark@ 123456yuhs.ac ; Kyungdo Han; hkd917@ 123456naver.com
                Author information
                http://orcid.org/0000-0001-7962-3697
                Article
                rmdopen-2023-003490
                10.1136/rmdopen-2023-003490
                10649888
                37945288
                45c71633-bac5-43b8-9120-8fc63cf53662
                © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See:  http://creativecommons.org/licenses/by-nc/4.0/.

                History
                : 12 July 2023
                : 19 October 2023
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100008005, Yonsei University College of Medicine;
                Award ID: 2023-32-0043
                Categories
                Systemic Sclerosis
                1506
                Original research
                Custom metadata
                unlocked

                systemic sclerosis,scleroderma, systemic,epidemiology

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