From: Predicting clinical outcome of cardiac patients by six malnutrition screening tools
Patient characteristic | Population (n = 526) | Males (n = 322) | Females (n = 204) | ||||
---|---|---|---|---|---|---|---|
Number | % | Number | % | Number | % | ||
Ethnicity | |||||||
Sinhala | 438 | 83.3 | 266 | 82.6 | 172 | 84.3 | |
Muslim | 43 | 8.2 | 24 | 7.5 | 19 | 9.3 | |
Indian Tamil | 4 | .8 | 4 | 1.2 | 0 | 0 | |
Sri Lankan Tamil | 34 | 6.5 | 22 | 6.8 | 12 | 5.9 | |
Other | 7 | 1.3 | 6 | 1.9 | 1 | .5 | |
Education level | |||||||
Not educated | 55 | 10.5 | 25 | 7.8 | 30 | 14.7 | |
Up to Grade 5 | 175 | 33.3 | 96 | 29.8 | 79 | 38.7 | |
Up to Grade 11 | 172 | 32.7 | 113 | 35.1 | 59 | 28.9 | |
Up to Grade 13 | 101 | 19.2 | 73 | 22.7 | 28 | 13.7 | |
Tertiary | 23 | 4.4 | 15 | 4.7 | 8 | 3.9 | |
Age | 57.6a ± 12.5 | 59.9a ± 11.2 | 58.5a ± 12.0 | ||||
BMI | 23.33a ± 3.67 | 24.03a ± 4.80 | 23.60a ± 4.15 | ||||
Hospital stayd | 5.3a ± 5.3 | 4.0b 2.0-6.0c | 5.3a ± 5.9 | 4.0a 2.0-6.0c | 5.1a ± 4.1 | 4.0b 3.0-6.0c | |
During hospital stay | |||||||
Deaths | 10 | 1.9 | 4 | 1.2 | 6 | 2.9 | |
Cardiac and non cardiac complications | 26 | 4.9 | 16 | 5.0 | 10 | 5.0 | |
Non prophylactic antibiotics | 67 | 12.7 | 39 | 12.1 | 28 | 13.7 | |
Multivitamin mineral supplements | 32 | 6.1 | 14 | 4.3 | 18 | 8.8 | |
High protein/high calorie supplements | 2 | 0.4 | 2 | 0.6 | 0 | 0.0 | |
Enteral/parenteral nutrition | 0 | 0.0 | 0 | 0.0 | 0 | 0.0 | |
Intensive care transfer | 112 | 21.3 | 79 | 24.5 | 33 | 16.2 | |
Emergency procedures | 50 | 9.5 | 36 | 11.2 | 14 | 6.9 | |
Transfers | 21 | 4.0 | 14 | 4.3 | 7 | 3.4 | |
Follow up at 1 monthe | |||||||
Deaths | 9 | 1.9 | 7 | 2.4 | 2 | 1.1 | |
Features of infection | 19 | 4.0 | 10 | 3.4 | 9 | 5.0 | |
Readmission | 53 | 11.1 | 30 | 10.1 | 23 | 12.9 |