Predicting high excess risk of hyponatraemia among thiazide users.

Journal: European journal of preventive cardiology
Published Date:

Abstract

AIMS: Hyponatraemia is a potential serious adverse drug reaction to treatment with thiazide diuretics. This study aimed to determine whether individuals at high risk of developing thiazide-induced hyponatraemia can be identified before treatment initiation. METHODS AND RESULTS: A population-based cohort study was conducted in Denmark among individuals aged ≥40 years from 2014 to 2020. Moderate-to-severe hyponatraemia (plasma sodium <130 mmol/L) within 120 days of treatment was compared in new users of thiazide or non-thiazide antihypertensive drugs. Using the causal forest method, models to predict individual-level risk of thiazide-induced hyponatraemia were trained in a development cohort (n = 185 699; 2014-18) and validated in a separate cohort (n = 75 030; 2019-20). Individual-level excess risk could be parsimoniously described by a four-covariate model that included information on age and baseline plasma sodium, haemoglobin, and C-reactive protein levels with good calibration and concordance-for-benefit [0.66; 95% confidence interval (CI), 0.66-0.67] in the validation cohort. The average 120 day excess risk of hyponatraemia among thiazide-treated patients was 1.8% (95% CI, 1.3-2.2%), with individual-level heterogeneity ranging from -1.6% to 15.9%. For the 10% of thiazide-treated with the highest excess risk of hyponatraemia, the average excess risk was 7.4% (95% CI, 4.4-10.5%). Reassigning this high-risk group to non-thiazide drugs would reduce the excess risk within the thiazide-treated population by 0.7% (95% CI, 0.4-1.0%), corresponding to a 42% relative reduction. CONCLUSION: The population-level burden of thiazide-induced hyponatraemia can potentially be markedly reduced by identifying and prescribing alternative antihypertensive drugs to high-risk patient groups using a simple set of baseline information.

Authors

  • Niklas Worm Andersson
    Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark.
  • Kim Daniel Jakobsen
    Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark.
  • Anders Hviid
    Department of Drug Design and Pharmacology, University of Copenhagen, Jagtvej 160, 2100, Copenhagen, Denmark.
  • Bjarke Feenstra
    Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark.
  • Mads Melbye
    Danish Cancer Institute, Copenhagen, Denmark.
  • Jan Wohlfahrt
    Cancer Epidemiology and Surveillance, Danish Cancer Institute, Copenhagen, Denmark.
  • Marie Lund
    Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark.

Keywords

No keywords available for this article.