Associations between short-term temperature exposure and kidney-related conditions in New York State: The influence of temperature metrics across four dimensions. (March 2023)

• Record Type: Journal Article
• Authors: Chu, Lingzhi; Chen, Kai; Crowley, Susan; Dubrow, Robert
• Is Part Of: Environment international. Volume 173(2023)
• Publication Date: 2023-03
• Subjects: Kidney disease -- Temperature -- Heat exposure -- Climate change -- Spatial resolution -- Wet-bulb globe temperature -- Meteorological variables; Environmental protection -- Periodicals; Environmental health -- Periodicals; Environmental monitoring -- Periodicals; Environmental Monitoring -- Periodicals; Environnement -- Protection -- Périodiques; Hygiène du milieu -- Périodiques; Environnement -- Surveillance -- Périodiques; Environmental health; Environmental monitoring; Environmental protection; Periodicals; 333.705
• DOI: 10.1016/j.envint.2023.107783
• Languages: English
• ISSNs: 0160-4120

Abstract

Highlights: High temperature is a risk factor for acute kidney failure and urolithiasis. High temperature is a risk factor for dysnatremia and volume depletion. Results did not meaningfully differ across temperature spatial resolutions. Model performance and estimates varied by temperature metric and intraday measure. Daytime mean outdoor wet-bulb globe temperature on the absolute scale was preferred. Abstract: Background: Evidence describing the relationship between short-term temperature exposure and kidney-related conditions is insufficient. It remains unclear how temperature specification affects estimation of these associations. This study aimed to assess associations between short-term temperature exposure and seven kidney-related conditions and to evaluate the influence of temperature specification. Methods: We obtained data on hospital encounters in New York State (2007–2016). We assessed associations with a case-crossover design using conditional logistic regression with distributed lag non-linear models. We compared model performance (i.e., AIC) and association curves using 1) five temperature spatial resolutions; 2) temperature on an absolute versus relative scale; 3) seven temperature metrics incorporating humidity, wind speed, and/or solar radiation; and 4) five intraday temperature measures (e.g., daily minimum and daytime mean). Results: We included 1, 209, 934 unplanned adult encounters. Temperature metric and intraday measure had considerably greater influence than spatial resolution and temperature scale. For outcomes not associated with temperature exposure, almost all metrics or intraday measures showed good model performance; for outcomes associated with temperature, there were meaningful differences in performance across metrics or intraday measures. For parsimony, we modelled daytime mean outdoor wet-bulb globe temperature, which showed good performance for all outcomes. At lag 0–6 days, we observed increased risk at the 95 th percentile of temperature versus the minimum morbidity temperature for acute kidney failure (odds ratio [OR] = 1.36, 95% confidence interval [CI]: 1.09, 1.69), urolithiasis (OR = 1.41, 95% CI: 1.16, 1.70), dysnatremia (OR = 1.26, 95% CI: 1.01, 1.59), and volume depletion (OR = 1.88, 95% CI: 1.41, 2.51), but not for glomerular diseases, renal tubulo-interstitial diseases, and chronic kidney disease. Conclusions: High-temperature exposure over one week is a risk factor for acute kidney failure, urolithiasis, dysnatremia, and volume depletion. The differential model performance across temperature metrics and intraday measures indicates the importance of careful selection of exposure metrics when estimating temperature-related health burden.