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Table 3 Mortality rates and adjusted odds ratios at 30 days following hospitalisation for social deprivation quintiles I and V, 2004 to 2012

From: The impact of social deprivation on mortality following acute myocardial infarction, stroke or subarachnoid haemorrhage: A record linkage study

Risk factor

AMI

Stroke

SAH

Mortality rate (Quintile I)

Mortality rate (Quintile V)

30 days mortality OR (95 % CI) b

Mortality rate (Quintile I)

Mortality rate (Quintile V)

30 days mortality OR (95 % CI) b

Mortality rate (Quintile I)

Mortality rate (Quintile V)

30 days mortality OR (95 % CI) b

Age

  < 65y

3.6 %

4.9 %

1.35 (0.94, 1.94)

11.1 %

11.4 %

1.14 (0.88, 1.49)

28.3 %

28.1 %

1.20 (0.72, 2.02)

 65–74y

10.2 %

13.4 %

1.28 (0.98, 1.67)

12.8 %

15.2 %

1.22 (0.98, 1.51)

34.6 %

41.5 %

2.03 (0.80, 5.13)

 75–84y

17.6 %

22.1 %

1.32 a (1.09, 1.59)

19.9 %

24.8 %

1.30 a (1.13, 1.50)

50.0 %

57.8 %

1.33 (0.53, 3.38)

 85+ y

28.9 %

29.8 %

1.06 (0.87, 1.29

31.7 %

36.1 %

1.19 (1.03, 1.37)

47.4 %

61.3 %

2.38 (0.51, 11.04)

Gender

 Male

12.3 %

12.2 %

1.21 (1.03, 1.42)

18.1 %

17.5 %

1.11 (0.97, 1.27)

30.0 %

41.2 %

2.45 (1.21, 4.95)

 Female

18.2 %

18.9 %

1.26 (1.07, 1.49)

23.4 %

26.1 %

1.36 a (1.21, 1.52)

37.2 %

34.5 %

1.04 (0.66, 1.65)

Day of the week

 Weekdays (Mon–Fri)

14.5 %

15.4 %

1.27 a (1.11, 1.45)

20.3 %

21.7 %

1.27 a (1.15, 1.40)

33.8 %

33.3 %

1.18 (0.77, 1.82)

 Weekends (Sat–Sun)

13.8 %

14.1 %

1.21 (0.96, 1.54)

22.7 %

23.0 %

1.16 (0.98, 1.38)

37.8 %

45.9 %

1.96 (0.86, 4.51)

 Public holidays

22.8 %

14.4 %

0.72 (0.32, 1.63)

21.0 %

22.0 %

1.15 (0.59, 2.23)

25.0 %

50.0 %

NA

Season of admission

 Winter

15.5 %

15.1 %

1.09 (0.87, 1.36)

23.1 %

23.0 %

1.10 (0.93, 1.30)

35.1 %

36.1 %

0.98 (0.42, 2.28)

 Spring

16.9 %

15.0 %

1.09 (0.87, 1.37)

20.8 %

22.4 %

1.29 (1.09, 1.53)

37.1 %

31.6 %

0.99 (0.43, 2.29)

 Summer

13.1 %

15.0 %

1.36 (1.07, 1.72)

19.3 %

20.4 %

1.27 (1.06, 1.51)

27.1 %

38.0 %

2.26 (0.97, 5.24)

 Autumn

12.2 %

15.1 %

1.57 a (1.23, 2.01)

20.3 %

22.3 %

1.36 a (1.14, 1.62)

39.2 %

41.8 %

1.76 (0.75, 4.09)

Year of admission

 2004–2005

16.4 %

16.9 %

1.25 (1.02, 1.53)

20.8 %

23.3 %

1.31 a (1.10, 1.55)

40.6 %

33.3 %

0.67 (0.27, 1.65)

 2006–2008

15.2 %

15.1 %

1.16 (0.96, 1.39)

22.2 %

22.6 %

1.23 a (1.07, 1.41)

29.5 %

45.5 %

3.54 a (1.77, 7.07)

 2009–2011

12.1 %

13.4 %

1.32 (1.07, 1.63)

19.7 %

20.5 %

1.21 (1.05, 1.40)

36.4 %

30.9 %

0.75 (0.40, 1.43)

Hospital size

 Small (100–399 beds)

11.9 %

16.5 %

1.50 (0.96, 2.36)

19.4 %

21.9 %

1.27 (0.89, 1.82)

30.0 %

44.4 %

NA

 Medium (400–599 beds)

15.1 %

14.3 %

1.11 (0.94, 1.31)

21.3 %

22.9 %

1.25 a (1.11, 1.42)

39.2 %

38.6 %

1.28 (0.72, 2.29)

 Large (600+ beds)

14.2 %

15.4 %

1.28 (1.06, 1.55)

21.7 %

22.4 %

1.20 (1.04, 1.39)

33.5 %

36.1 %

1.44 (0.84, 2.47)

 Community hospitals

14.0 %

17.1 %

1.57 (0.92, 2.69)

12.2 %

11.2 %

1.10 (0.69, 1.76)

0.0 %

0.0 %

NA

  1. Quintile I was used as the reference group. The ORs of quintile V are reported in the table
  2. Bold font denotes significance at the 5 % level
  3. NA The sample size was too small to perform logistic regression
  4. a denotes significance after applying a Bonferroni correction
  5. b The OR for age group was adjusted for gender and comorbidities; gender was adjusted for age group and comorbidities; all other factors were adjusted for age group, gender and comorbidities