Israel Medical Association Journal

Background: Pediatric urolithiasis is relatively uncommon and is generally associated with predisposing anatomic or metabolic abnormalities. In the adult population, emergency department (ED) admissions have been associated with an increase in ambient temperature. The same association has not been evaluated in the pediatric population.

Objectives: To analyze trends in ED admissions due to renal colic in a pediatric population (≤ 18 years old) and to assess the possible effect of climate on ED admissions.

Methods: We conducted a retrospective, multicenter cohort study, based on a computerized database of all ED visits due to renal colic in pediatric patients. The study cohort presented with urolithiasis on imaging during their ED admission. Exact climate data was acquired through the Israeli Meteorological Service (IMS).

Results: Between January 2010 and December 2020, 609 patients, ≤ 18 years, were admitted to EDs in five medical centers with renal colic: 318 males (52%), 291 females (48%). The median age was 17 years (IQR 9–16). ED visits oscillated through the years, peaking in 2012 and 2018. A 6% downward trend in ED admissions was noted between 2010 and 2020. The number of ED admissions in the different seasons was 179 in autumn (30%), 134 in winter (22%), 152 in spring (25%), and 144 in summer (23%) (P = 0.8). Logistic regression multivariable analysis associated with ED visits did not find any correlation between climate parameters and ED admissions due to renal colic in the pediatric population.

Conclusions: ED admissions oscillated during the period investigated and had a downward trend. Unlike in the adult population, rates of renal colic ED admissions in the pediatric population were not affected by seasonal changes or rise in maximum ambient temperature.

Background: The novel coronavirus disease 2019 (COVID-19) is an infectious disease that presents an urgent challenge to global health and economy.

Objectives: To assess the effects of population median age and mean ambient temperature on the COVID-19 global pandemic burden.

Methods: We used databases from open access public domains to record population median age, mean ambient temperature, and the numbers of COVID-19 cases and deaths on days 14 and 28 from the pandemic outbreak for each country in the world. We then calculated the correlation between these parameters.

Results: The analysis included 202 countries. A univariate analysis showed that population median age significantly correlated with the cumulative number of cases and deaths, while mean ambient temperature showed a significant inverse correlation with the cumulative number of deaths on days 14 and 28 from the epidemic outbreak. After a multivariate logistic regression analysis only population median age retained its statistically significant correlation.

Conclusions: Country population median age significantly correlated with COVID-19 pandemic burden while mean ambient temperature shows a significant inverse correlation only in univariate analysis. Countries with older populations encountered a heavier burden from the COVID-19 pandemic. This information may be valuable for health systems in planning strategies for combating this global health hazard.