Clinical chemistry and laboratory medicine · 2026
Correlated seasonal dyskalaemia in a primary care population: winter hyperkalaemia and summer hypokalaemia.
СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Maarouf Amro, Danks Jordan, Fenn Jonathan, Gama Rousseau, Kalaria Tejas
Аннотация
OBJECTIVES: In vitro serum potassium is affected by ambient temperature with peaks in the winter and troughs in the summer. We investigated whether primary care phlebotomy locations with higher winter hyperkalaemia rates exhibited higher summer hypokalaemia and evaluated a simple screening metric to identify high-risk locations.
METHODS: Retrospective audit of Indexor-tracked primary care potassium results analysed at a UK hub laboratory between 1 July 2024 and 30 June 2025 was performed. Bivariate multilevel logistic regression modelling assessed whether locations with higher hyperkalaemia rates in January 2025 (coldest month) also showed higher hypokalaemia rates in June 2025 (warmest month). Locations were ranked by January hyperkalaemia frequency and analysed by quartiles. ROC analysis assessed the performance of ΔK (difference in winter and summer mean potassium) in identifying highest seasonal dyskalaemia locations.
RESULTS: Among 382,735 included results, serum potassium was inversely associated with ambient temperature. Hyperkalaemia was 5.24 % in January 2025 vs. 0.90 % in June 2025, while hypokalaemia was 0.39 % vs. 2.22 %, respectively. Location-level propensities for January hyperkalaemia and June hypokalaemia correlated positively (ρ=0.35; 95 % CrI 0.02-0.62). The highest-risk quartile locations had greater winter hyperkalaemia (11.44 % vs. 2.97 %; OR 4.22) and summer hypokalaemia (3.12 % vs. 1.51 %; OR 2.10) compared with the lowest quartile. ΔK discriminated top-quartile risk locations (AUC 0.918 for winter hyperkalaemia), with an optimal threshold ΔK≈0.40 mmol/L.
CONCLUSIONS: Phlebotomy locations prone to winter hyperkalaemia also exhibit summer hypokalaemia, reflecting location-specific pre-analytical vulnerabilities. A simple ΔK screen can help targeted mitigation for seasonal dyskalaemia such as on-site centrifugation or transport optimisation.
METHODS: Retrospective audit of Indexor-tracked primary care potassium results analysed at a UK hub laboratory between 1 July 2024 and 30 June 2025 was performed. Bivariate multilevel logistic regression modelling assessed whether locations with higher hyperkalaemia rates in January 2025 (coldest month) also showed higher hypokalaemia rates in June 2025 (warmest month). Locations were ranked by January hyperkalaemia frequency and analysed by quartiles. ROC analysis assessed the performance of ΔK (difference in winter and summer mean potassium) in identifying highest seasonal dyskalaemia locations.
RESULTS: Among 382,735 included results, serum potassium was inversely associated with ambient temperature. Hyperkalaemia was 5.24 % in January 2025 vs. 0.90 % in June 2025, while hypokalaemia was 0.39 % vs. 2.22 %, respectively. Location-level propensities for January hyperkalaemia and June hypokalaemia correlated positively (ρ=0.35; 95 % CrI 0.02-0.62). The highest-risk quartile locations had greater winter hyperkalaemia (11.44 % vs. 2.97 %; OR 4.22) and summer hypokalaemia (3.12 % vs. 1.51 %; OR 2.10) compared with the lowest quartile. ΔK discriminated top-quartile risk locations (AUC 0.918 for winter hyperkalaemia), with an optimal threshold ΔK≈0.40 mmol/L.
CONCLUSIONS: Phlebotomy locations prone to winter hyperkalaemia also exhibit summer hypokalaemia, reflecting location-specific pre-analytical vulnerabilities. A simple ΔK screen can help targeted mitigation for seasonal dyskalaemia such as on-site centrifugation or transport optimisation.