Table 1 Descriptive characteristics of prehospital diabetic emergencies
From: Time series modelling to forecast prehospital EMS demand for diabetic emergencies
Year | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | p-value |
|---|---|---|---|---|---|---|---|---|
Annual cases (n) | 5841 | 5873 | 6102 | 5911 | 6179 | 4938* | 6610 | |
Median [IQR] Monthly cases | 484.5 [447.5, 540.5] | 487.5 [463, 510] | 506.5 [485, 524.5] | 492 [479. 508] | 503 [496.5, 530] | 521.5 [504, 539] | 549.5 [513.5, 581.5] | |
Age | ||||||||
Median [IQR] | 60 [40, 76] | 60 [41, 76] | 60 [40, 76] | 59 [40, 76] | 59 [41, 75] | 59 [40, 75] | 59 [39, 75] | p = 0.11† |
Gender | ||||||||
Male (n) (%) | 3222 (55.2%) | 3194 (54.45) | 3355 (55.0%) | 3378 (57.2%) | 3454 (55.9%) | 2677 (54.2%) | 3675 (55.6%) | p = 0.191• |
Female (n) (%) | 2615 (44.8%) | 2675 (45.6%) | 2743 (45.0%) | 2527 (42.8%) | 2721 (44.1%) | 2258 (45.8%) | 2929 (44.4%) | |
Diabetes type | ||||||||
Type 1(n) (%) | 3125 (53.5%) | 2962 (50.4%) | 3026 (49.6%) | 2737 (46.3%) | 2872 (46.5%) | 2264 (45.9%) | 2906 (44.0%) | p < 0.001• |
Type 2(n) (%) | 2040 (34.9%) | 2171 (37.0%) | 2291 (37.6%) | 2334 (39.5%) | 2528 (40.9%) | 1984 (40.2%) | 2779 (42.0%) | |
Unspec.(n) (%) | 676 (11.6%) | 740 (12.6%) | 785 (12.9%) | 840 (14.2%) | 779 (12.6%) | 690 (14.0%) | 925 (14.0%) | |
Emergency type | ||||||||
Hyperglycemia (n) (%) | 1452 (24.9%) | 1488 (25.3%) | 1616 (26.5%) | 1722 (29.1%) | 1966 (31.8%) | 1701 (34.4%) | 2455 (37.1%) | p < 0.001• |
Hypoglycemia(n) (%) | 4389 (75.1%) | 4385 (74.7%) | 4486 (73.5%) | 4189 (70.9%) | 4213 (68.2%) | 3237 (65.6%) | 4155 (62.9%) | |