Major adverse cardiovascular events in people with chronic kidney disease in relation to disease severity and diabetes status.

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ID: 21249
2019
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Abstract
Diabetes plays an important role in the complex relationship between chronic kidney disease (CKD) and cardiovascular disease. This retrospective observational study compared the influence of estimated glomerular filtration rate (eGFR) and proteinuria on the risk of major adverse cardiovascular event (MACE; myocardial infarction or stroke) in CKD patients with and without diabetes. Data were from a linked database of UK electronic health records. Individuals with CKD and no prior MACE were classified as type 1 diabetes (T1DM; n = 164), type 2 diabetes (T2DM; n = 9,711), and non-diabetes (non-DM; n = 75,789). Monthly updated time-dependent Cox proportional hazard models were constructed to calculate adjusted hazard ratios (aHRs) for progression to MACE from first record of abnormal eGFR or proteinuria (index date). In non-DM, aHRs (95% CIs) by baseline eGFR category (referent G2) were G1: 0.70 (0.55-0.90), G3a: 1.28 (1.20-1.35), G3b: 1.64 (1.52-1.76), G4: 2.19 (1.98-2.43), and G5: 3.12 (2.44-3.99), and by proteinuria category (referent A1) were A2: 1.13 (1.00-1.28), A2/3 (severity indeterminable): 1.58 (1.28-1.95), and A3: 1.64 (1.38-1.95). In T2DM, aHRs were G1: 0.98 (0.72-1.32), G3a: 1.18 (1.03-1.34), G3b: 1.31 (1.12-1.54), G4: 1.87 (1.53-2.29), G5: 2.87 (1.82-4.52), A2: 1.22 (1.04-1.42), A2/3: 1.45 (1.17-1.79), and A3: 1.82 (1.53-2.16). Low numbers in T1DM precluded analysis. Modelling T2DM and non-DM together, aHRs were, respectively, G1: 3.23 (2.38-4.40) and 0.70 (0.55-0.89); G2: 3.18 (2.73-3.70) and 1.00 (referent); G3a: 3.65 (3.13-4.25) and 1.28 (1.21-1.36); G3b: 4.01 (3.40-4.74) and 1.65 (1.54-1.77); G4: 5.78 (4.70-7.10) and 2.21 (2.00-2.45); G5: 9.00 (5.71-14.18) and 3.14 (2.46-4.00). In conclusion, reduced eGFR and proteinuria were independently associated with increased risk of MACE regardless of diabetes status. However, the risk of MACE in the same eGFR state was 4.6-2.4 times higher in T2DM than in non-DM.
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currie2019majorplos Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Currie, Craig J;Berni, Ellen R;Berni, Thomas R;Jenkins-Jones, Sara;Sinsakul, Marvin;Jermutus, Lutz;Ambery, Philip;Jain, Meena;
Journal PloS one
Year 2019
DOI
10.1371/journal.pone.0221044
URL
Keywords Keywords not found

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