Abstract

Prolonged analgesic consumption may adversely affect kidney function. The relation of long-term analgesic use to markers of decreased kidney function has not been investigated in the general population. Cross-sectional analysis. National Health and Nutrition Examination Survey conducted in 1999-2002. Noninstitutionalized residents at least 20 years old (n = 8,057, representing 177.8 million adults). Ever intake of an analgesic every day for at least a month defined habitual analgesic use, classified by product (aspirin, acetaminophen, ibuprofen, and selected prescription drugs) and years of use (<1, 1 to 5, and >5 years). Albuminuria in random urine (albumin-creatinine ratio >or= 30 mg/g; n = 1,088) and reduced estimated glomerular filtration rate (eGFR; <60 mL/min/1.73 m(2), n = 852) using the Modification of Diet in Renal Disease Study equation and the composite of either. Age-standardized prevalence in habitual analgesic users and non-habitual analgesic users and multivariable-adjusted odds ratios (ORs). In US adults, 23.7% (95% confidence interval [CI], 21.7 to 25.6) reported habitual analgesic use. Multivariable-adjusted ORs for reduced eGFR prevalence in adults with habitual analgesic use of acetaminophen only, ibuprofen only, and aspirin only were 1.03 (95% CI, 0.6 to 1.7), 1.21 (95% CI, 0.7 to 2.1), and 0.95 (95% CI, 0.7 to 1.2) compared with non-habitual analgesic use, respectively. Corresponding ORs for prevalent albuminuria were 0.93 (95% CI, 0.7 to 1.3), 0.65 (95% CI, 0.4 to 1.2), and 0.86 (95% CI, 0.6 to 1.2). Association measures had intermediate levels for the composite marker of decreased kidney function and were not significant. No association between prevalent outcomes and habitual analgesic exposure duration of 5 years or longer or multiple product habitual analgesic consumption was observed. Reliability of self-reported analgesic use behavior was not assessed. Habitual analgesic use of single or multiple products was not associated with increased prevalence of albuminuria or reduced eGFR.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call