BACKGROUND: The demographic and clinical correlates of gout after living kidney donation are not well described. METHODS: Using a unique database that integrates national registry identifiers of U.S. living kidney donors (1987-2007) with billing claims from a private health insurer (2000-2007), we identified post-donation gout based on medical diagnosis codes or pharmacy fills for gout therapies. The frequencies and demographic correlates of gout after donation were estimated by Cox regression with left- and right-censoring. We also compared the rates of renal diagnoses among donors with and without gout, matched in the ratio 1:3 by age, sex, and race. RESULTS: The study sample of 4,650 donors included 13.1% African Americans. By seven years, African Americans were almost twice as likely to develop gout as Caucasian donors (4.4 vs. 2.4%; adjusted hazard ratio, aHR, 1.8; 95% confidence interval (CI) 1.0-3.2). Post-donation gout risk also increased with older age at donation (aHR per year 1.05) and was higher in men (aHR 2.80). Gout rates were similar in donors and age- and sex-matched general non-donors (rate ratio 0.86; 95% CI 0.66-1.13). Compared to matched donors without gout, donors with gout had more frequent renal diagnoses, reaching significance for acute kidney failure (rate ratio 12.5; 95% CI 1.5-107.0), chronic kidney disease (rate ratio 5.0; 95% CI 2.1-11.7), and other disorders of the kidney (rate ratio 2.2; 95% CI 1.2-4.2). CONCLUSION: Donor subgroups at increased risk of gout include African Americans, older donors, and men. Donors with gout have a higher burden of renal complications after demographic adjustment.
BACKGROUND: The demographic and clinical correlates of gout after living kidney donation are not well described. METHODS: Using a unique database that integrates national registry identifiers of U.S. living kidney donors (1987-2007) with billing claims from a private health insurer (2000-2007), we identified post-donation gout based on medical diagnosis codes or pharmacy fills for gout therapies. The frequencies and demographic correlates of gout after donation were estimated by Cox regression with left- and right-censoring. We also compared the rates of renal diagnoses among donors with and without gout, matched in the ratio 1:3 by age, sex, and race. RESULTS: The study sample of 4,650 donors included 13.1% African Americans. By seven years, African Americans were almost twice as likely to develop gout as Caucasian donors (4.4 vs. 2.4%; adjusted hazard ratio, aHR, 1.8; 95% confidence interval (CI) 1.0-3.2). Post-donation gout risk also increased with older age at donation (aHR per year 1.05) and was higher in men (aHR 2.80). Gout rates were similar in donors and age- and sex-matched general non-donors (rate ratio 0.86; 95% CI 0.66-1.13). Compared to matched donors without gout, donors with gout had more frequent renal diagnoses, reaching significance for acute kidney failure (rate ratio 12.5; 95% CI 1.5-107.0), chronic kidney disease (rate ratio 5.0; 95% CI 2.1-11.7), and other disorders of the kidney (rate ratio 2.2; 95% CI 1.2-4.2). CONCLUSION:Donor subgroups at increased risk of gout include African Americans, older donors, and men. Donors with gout have a higher burden of renal complications after demographic adjustment.
Authors: Ngan N Lam; Eric McArthur; S Joseph Kim; G V Ramesh Prasad; Krista L Lentine; Peter P Reese; Bertram L Kasiske; Charmaine E Lok; Liane S Feldman; Amit X Garg Journal: Am J Kidney Dis Date: 2015-03-25 Impact factor: 8.860
Authors: Mara A McAdams-DeMarco; Janet W Maynard; Alan N Baer; Josef Coresh Journal: J Clin Hypertens (Greenwich) Date: 2012-06-13 Impact factor: 3.738
Authors: Krista L Lentine; Farrukh M Koraishy; Nagaraju Sarabu; Abhijit S Naik; Ngan N Lam; Amit X Garg; David Axelrod; Zidong Zhang; Gregory P Hess; Bertram L Kasiske; Dorry L Segev; Macey L Henderson; Allan B Massie; Courtenay M Holscher; Mark A Schnitzler Journal: Clin Transplant Date: 2019-09-08 Impact factor: 2.863
Authors: Vivian S Tan; Amit X Garg; Eric McArthur; Ngan N Lam; Manish M Sood; Kyla L Naylor Journal: Clin J Am Soc Nephrol Date: 2017-02-02 Impact factor: 8.237
Authors: Krista L Lentine; Bertram L Kasiske; Andrew S Levey; Patricia L Adams; Josefina Alberú; Mohamed A Bakr; Lorenzo Gallon; Catherine A Garvey; Sandeep Guleria; Philip Kam-Tao Li; Dorry L Segev; Sandra J Taler; Kazunari Tanabe; Linda Wright; Martin G Zeier; Michael Cheung; Amit X Garg Journal: Transplantation Date: 2017-08 Impact factor: 4.939
Authors: Tarek Alhamad; Farrukh M Koraishy; Ngan N Lam; Sreelatha Katari; Abhijit S Naik; Mark A Schnitzler; Huiling Xiao; David A Axelrod; Vikas R Dharnidharka; Henry Randall; Rosemary Ouseph; Dorry L Segev; Daniel C Brennan; Radhika Devraj; Bertram L Kasiske; Krista L Lentine Journal: Transplantation Date: 2019-11 Impact factor: 4.939
Authors: Krista L Lentine; Bertram L Kasiske; Andrew S Levey; Patricia L Adams; Josefina Alberú; Mohamed A Bakr; Lorenzo Gallon; Catherine A Garvey; Sandeep Guleria; Philip Kam-Tao Li; Dorry L Segev; Sandra J Taler; Kazunari Tanabe; Linda Wright; Martin G Zeier; Michael Cheung; Amit X Garg Journal: Transplantation Date: 2017-08 Impact factor: 4.939
Authors: Ngan N Lam; Krista L Lentine; Scott Klarenbach; Manish M Sood; Paul J Kuwornu; Kyla L Naylor; Gregory A Knoll; S Joseph Kim; Ann Young; Amit X Garg Journal: Can J Kidney Health Dis Date: 2018-04-09
Authors: Ngan N Lam; Krista L Lentine; Brenda Hemmelgarn; Scott Klarenbach; Robert R Quinn; Anita Lloyd; Sita Gourishankar; Amit X Garg Journal: Can J Kidney Health Dis Date: 2018-07-26