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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%)
  1. Chi2 †KW test
  2. *annual rate missing 4 months of data: September, October, November, December