Table A Baseline characteristics

Disclaimer
 

Table A Baseline characteristics
 
 
Total

(n=70 316)
Aspirin (n=66 739)
Aspirin and ibuprofen

(n=844)
Aspirin and other NSAIDs

(n=2733)
Overall P value
Demographics          
³ 75 years old
53.9
53.9
54.3
54.6
0.719
Female
48.3
48.0
49.2
55.5
<0.001
Non-white
9.8
9.8
8.4
9.1
0.189
Medical history          
Hypertension
65.1
65.0
64.3
67.6
0.016
Diabetes
30.3
30.3
31.4
28.2
0.042
Current smoker
15.1
15.2
12.2
12.0
<0.001
Dementia
5.3
5.4
3.2
3.9
<0.001
Previous myocardial infarction
30.5
30.6
29.6
30.1
0.725
Previous stroke
13.2
13.3
12.1
12.5
0.308
Admission characteristics          
Shock
1.0
1.0
0.8
0.7
0.169
Atrial fibrillation or flutter
16.6
16.7
13.5
15.1
0.005
SBP >160 or DBP >100 mm Hg
31.9
31.9
30.0
33.5
0.100
Heart rate >100 beats/min
21.8
21.9
18.7
20.0
0.005
Respiratory rate >25 breaths/min
15.9
16.0
15.2
13.3
<0.001
Hospital course          
Ejection fraction <40%
20.0
20.2
15.9
17.2
<0.001
Anteroseptal myocardial infarction
43.8
43.9
40.0
42.7
0.040
Percutaneous intervention
20.4
20.5
18.2
19.1
0.061
Coronary artery bypass graft surgery
10.5
10.4
18.7
10.2
<0.001
Aspirin
96.1
96.1
96.1
96.2
0.947
angiotensin converting enzyme inhibitor
41.0
41.2
35.7
38.4
<0.001
Beta-blockers
53.9
54.0
53.1
52.5
0.254
Hospital complications          
Shock
2.7
2.7
2.3
2.2
0.259
Heart failure
54.3
54.5
53.6
50.3
<0.001
Discharge characteristic          
b blockers
42.9
43.0
40.2
41.3
0.049

NSAID=nonsteroidal anti-inflammatory drug; SBP= systolic blood pressure; DBP=diastolic blood pressure
 
 

Disclaimer

The analyses upon which this publication is based were performed under contract number 500-02-CO01, entitled "Utilization and Quality Control Peer Review Organization for the State of Connecticut," sponsored by the Centers for Medicare and Medicaid Services (formerly Health Care Financing Administration), Department of Health and Human Services. The content of this publication does not necessarily reflect the views or policies of the Department of Health and Human Services, nor does mention of trade names, commercial products, or organisations imply endorsement by the US Government. The author assumes full responsibility for the accuracy and completeness of the ideas presented. This article is a direct result of the Health Care Quality Improvement Program initiated by the Center for Medicare and Medicaid Services, which has encouraged identification of quality improvement projects derived from analysis of patterns of care, and therefore required no special funding on the part of this contractor. Ideas and contributions to the author concerning experiences in engaging with issues presented are welcomed.