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Seasonal variation in hospital encounters with hypoglycaemia and hyperglycaemia.

Seasonal variation in hospital encounters with hypoglycaemia and hyperglycaemia.
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Clemens KK, Shariff S, Richard L, Booth G, Gilliland J, Garg AX,


Clemens KK, Shariff S, Richard L, Booth G, Gilliland J, Garg AX, (click to view)

Clemens KK, Shariff S, Richard L, Booth G, Gilliland J, Garg AX,

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Diabetic medicine : a journal of the British Diabetic Association 2017 02 07() doi 10.1111/dme.13327
Abstract
AIM
To assess whether rates of hospital encounters with hypoglycaemia and hyperglycaemia display seasonal variation.

METHODS
Time series analyses of the monthly rates of hospital encounters (emergency room visits or inpatient admissions) with hypoglycaemia and hyperglycaemia from 2003 to 2012 using linked healthcare databases in Ontario, Canada.

RESULTS
Over the study period, there were 129 887 hypoglycaemia and 79 773 hyperglycaemia encounters. The characteristics of people at the time of their encounters were similar across the seasons in 2008 (median age 68 years for hypoglycaemia encounters and 53 years for hyperglycaemia encounters; 50% female; 90% with diabetes). We observed moderate seasonality in both types of encounters (R(2) autoregression coefficient 0.58 for hypoglycaemia; 0.59 for hyperglycaemia). The rate of hypoglycaemia encounters appeared to peak between April and June, when on average, there was an additional 49 encounters per month (0.36 encounters per 100 000 persons per month) compared with the other calendar months (5% increase). The rate of hyperglycaemia encounters appeared to peak in January, when on average, there was an additional 69 encounters per month (0.50 encounters per 100 000 persons per month) compared with the other calendar months (11% increase).

CONCLUSIONS
In our region, there is seasonal variation in the rate of hospital encounters with hypoglycaemia and hyperglycaemia. Our findings may help to highlight periods of vulnerability for people, may inform future epidemiological studies and may aid in the appropriate planning of healthcare resources. This article is protected by copyright. All rights reserved.

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