Predicting High Excess Risk of Hyponatremia Among Thiazide Users
Andersson, N. W.; Jakobsen, K. D.; Hviid, A.; Feenstra, B.; Melbye, M.; Wohlfahrt, J.; Lund, M.
Show abstract
ImportanceHyponatremia is a potential serious adverse drug reaction to treatment with thiazide diuretics. Whether individuals with a high risk of developing thiazide-induced hyponatremia can be predicted before treatment initiation is unknown. ObjectiveTo identify patients with a high risk of thiazide-induced hyponatremia following treatment initiation. DesignPopulation-based cohort study, using national register data on demography, comorbidities, comedication, and blood test results to predict individual-level risk of thiazide-induced hyponatremia following treatment initiation based on models trained with the causal forest method. Models were validated in a separate cohort and compared by concordance-for-benefit (C-for-benefit) and calibration plots. SettingDenmark, 1 January 2014 to 31 December 2020. ParticipantsPatients were [≥]40 years old and new users of thiazide or non-thiazide antihypertensive drugs (renin-angiotensin-system inhibitors or calcium channel blockers) and split into a development (n=185,699; from 2014-2018) and a validation cohort (n=75,030; 2019-2020). ExposureThiazide or non-thiazide antihypertensive treatment. Main outcome and measurePredicted excess risk of moderate-to-severe hyponatremia defined as plasma sodium levels <130 mmol/L, measured within the first 120 days of treatment. ResultsIndividual-level excess risk could be parsimoniously described by a four-covariate model that included information on age and plasma sodium, hemoglobin, and C-reactive protein levels at baseline with good calibration and C-for-benefit (0.66; 95% CI, 0.66-0.67) in the validation cohort. The average 120-day excess risk of hyponatremia among thiazide-treated patients was 1.8% (95% CI, 1.3% to 2.2%), with individual-level heterogeneity ranging from -1.6% to 15.9%. The 10% of thiazide-treated with the highest excess risk of hyponatremia had an average excess risk of 7.4% (95% CI, 4.4% to 10.5%). If this high-risk group were instead assigned a non-thiazide antihypertensive, the excess risk within the remaining thiazide-treated population would be reduced by 0.7% (95% CI, 0.1% to 1.2%), corresponding to a 38% relative reduction. Conclusion and relevanceThe population-level burden of thiazide-induced hyponatremia can potentially be markedly reduced by assigning a small group of patients at highest risk, who would otherwise be assigned a thiazide, to an alternative antihypertensive drug. This high-risk group can be identified using a small set of simple baseline information.
Matching journals
The top 9 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Nationwide prediction of type 2 diabetes comorbidities 93%
- Can machine learning improve risk prediction of incident hypertension? An internal method comparison and external validation of the Framingham risk model using HUNT Study data 91%
- Machine learning approach to dynamic risk modeling of mortality in COVID-19: a UK Biobank study 91%
Similar papers in this journal
- Machine learning guided association of adverse drug reactions with in vitro target-based pharmacology 91%
- Predicting the functional effects of voltage-gated potassium channel missense variants with multi-task learning 90%
- Precision Diagnostic Approach to Predict 5-year Risk for Microvascular Complications in Type 1 Diabetes 90%
Similar papers in this journal
- Clinical Impact of Pharmacogenetic Risk Variants in a Large Chinese Cohort 92%
- A multi-ethnic polygenic risk score is associated with hypertension prevalence and progression throughout adulthood 92%
- A Standardized Metric to Enhance Clinical Trial Design and Outcome Interpretation in Type 1 Diabetes 91%
Similar papers in this journal
- Clinical trial emulation can identify new opportunities to enhance the regulation of drug safety in pregnancy 90%
- Estimating Heritability of Glycaemic Response to Metformin using Nationwide Electronic Health Records and Population-Sized Pedigree 90%
- Genetics identifies obesity as a shared risk factor for co-occurring multiple long-term conditions. 90%
Similar papers in this journal
- ATP-citrate lyase as a therapeutic target in chronic kidney disease: a Mendelian Randomization analysis 92%
- Phenotypic spectrum of FAM47E - SHROOM3 haplotype composition in a general population sample 91%
- The prevalence of chronic kidney disease in Australian primary care: analysis of a national general practice dataset 90%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.