Miguel Bigotte Vieira1, Rita Magriço2, Catarina Viegas Dias3, Lia Leitão4, João Sérgio Neves5,6. 1. Nephrology and Renal Transplantation Department, Centro Hospitalar Lisboa Norte, Lisbon, Portugal. 2. Nephrology Department, Hospital Garcia de Orta, Almada, Portugal. 3. NOVA Medical School, Lisbon, Portugal. 4. Neurology Department, Hospital Prof. Doutor Fernando Fonseca, Amadora, Portugal. 5. Department of Endocrinology, Diabetes and Metabolism, Centro Hospitalar de São João, Porto, Portugal. 6. Department of Surgery and Physiology, Cardiovascular Research Center, Faculty of Medicine, University of Porto, Porto, Portugal.
Abstract
BACKGROUND: An inverse relationship between coffee consumption and mortality has been reported in the general population. However, the association between caffeine consumption and mortality in patients with chronic kidney disease (CKD) remains uncertain. METHODS: We analysed 4863 non-institutionalized USA adults with CKD [defined by an estimated glomerular filtration rate (eGFR) of 15-60 mL/min/1.73 m2 and/or a urinary albumin:creatinine ratio >30 mg/g] in a nationwide study using the National Health and Nutrition Examination Survey (NHANES) 1999-2010. Caffeine consumption was evaluated by 24-h dietary recalls at baseline and all-cause, cardiovascular and cancer mortality were evaluated until 31 December 2011. We also performed an analysis of caffeine consumption according to its source (coffee, tea and soft drinks). Quartiles of caffeine consumption were <28.2 mg/day (Q1), 28.2-103.0 (Q2), 103.01-213.5 (Q3) and >213.5 (Q4). RESULTS: During a median follow-up of 60 months, 1283 participants died. Comparing with Q1 of caffeine consumption, the adjusted hazard ratio for all-cause mortality was 0.74 [95% confidence interval (CI) 0.60-0.91] for Q2, 0.74 (95% CI 0.62-0.89) for Q3 and 0.78 (95% CI 0.62-0.98) for Q4 (P = 0.02 for trend across quartiles). There were no significant interactions between caffeine consumption quartiles and CKD stages or urinary albumin:creatinine ratio categories regarding all-cause mortality. CONCLUSIONS: We detected an inverse association between caffeine consumption and all-cause mortality among participants with CKD.
BACKGROUND: An inverse relationship between coffee consumption and mortality has been reported in the general population. However, the association between caffeine consumption and mortality in patients with chronic kidney disease (CKD) remains uncertain. METHODS: We analysed 4863 non-institutionalized USA adults with CKD [defined by an estimated glomerular filtration rate (eGFR) of 15-60 mL/min/1.73 m2 and/or a urinary albumin:creatinine ratio >30 mg/g] in a nationwide study using the National Health and Nutrition Examination Survey (NHANES) 1999-2010. Caffeine consumption was evaluated by 24-h dietary recalls at baseline and all-cause, cardiovascular and cancer mortality were evaluated until 31 December 2011. We also performed an analysis of caffeine consumption according to its source (coffee, tea and soft drinks). Quartiles of caffeine consumption were <28.2 mg/day (Q1), 28.2-103.0 (Q2), 103.01-213.5 (Q3) and >213.5 (Q4). RESULTS: During a median follow-up of 60 months, 1283 participants died. Comparing with Q1 of caffeine consumption, the adjusted hazard ratio for all-cause mortality was 0.74 [95% confidence interval (CI) 0.60-0.91] for Q2, 0.74 (95% CI 0.62-0.89) for Q3 and 0.78 (95% CI 0.62-0.98) for Q4 (P = 0.02 for trend across quartiles). There were no significant interactions between caffeine consumption quartiles and CKD stages or urinary albumin:creatinine ratio categories regarding all-cause mortality. CONCLUSIONS: We detected an inverse association between caffeine consumption and all-cause mortality among participants with CKD.
Authors: Mohsen Mazidi; Dimitri P Mikhailidis; Abbas Dehghan; Jacek Jóźwiak; Adrian Covic; Naveed Sattar; Maciej Banach Journal: Arch Med Sci Date: 2021-12-14 Impact factor: 3.707
Authors: Jongeun Rhee; Erikka Loftfield; Neal D Freedman; Linda M Liao; Rashmi Sinha; Mark P Purdue Journal: Int J Epidemiol Date: 2021-11-10 Impact factor: 7.196