| Literature DB >> 23442732 |
Gabriel Okumu1, Patson Makobore, Sam Kaggwa, Andrew Kambugu, Moses Galukande.
Abstract
BACKGROUND: Surgery plays a key role in HIV palliative care, specifically in the diagnosis and treatment of HIV related and non-related conditions. Yet major surgery depresses the immune system. Whereas the surgical consequences of HIV infection are well described, there is a paucity of published data, in resource-limited settings, on the effects of major surgery on the immune system. The purpose of this study was to determine the effect of major abdominal surgery on CD4 count in HIV positive and HIV negative patients after emergency major surgery.Entities:
Mesh:
Year: 2013 PMID: 23442732 PMCID: PMC3599316 DOI: 10.1186/1471-2482-13-4
Source DB: PubMed Journal: BMC Surg ISSN: 1471-2482 Impact factor: 2.102
Population demographic characteristics between HIV positive and negative patients groups, CD4 count study, 2012
| | ||||
|---|---|---|---|---|
| <20 | 1 (4%) | 14 (18.4%) | | |
| 20–40 | 19 (76%) | 40 (52.6%) | 0.084 | |
| >40 | 5 (20%) | 22 (29%) | | |
| Male | 18 (72%) | 54 (71.1%) | | |
| Female | 7 (28%) | 22 (27.9%) | 0.941 | |
| Married | 13 (52%) | 38 (50%) | | |
| Single | 8 (32%) | 36 (47.4%) | 0.035 | |
| Divorced/widowed | 4 (16%) | 2 (2.6%) | | |
| Peasant/farmer | 8 (32%) | 27 (35.5%) | 0.079 | |
| Self employed | 5 (20%) | 10 (13.2%) | | |
| Boda boda | 7 (28%) | 9 (11.8%) | | |
| Student/pupil | 0 | 14 (18.4%) | | |
| Others | 5 (20%) | 16 (21.1%) | 0.113 | |
| | | |||
| Hemoglobin (g/dl) | 12.2 iqr (3.7) | 13.4 iqr (3.55) | 0.521 | |
| Total white blood cells (cells/ml) | 7600 iqr (5600) | 8750 iqr (5950) | 0.450 | |
| Neutrophils (%) | 68.8 iqr (18.2) | 68.95 iqr (18.45) | 0.0478 | |
| Lymphocytes (%) | 14.2 iqr (14.7) | 22.35 iqr (16.8) | 0.795 | |
| Other WBC’s | 17 iqr (10) | 8.7 iqr (5.6) | ||
[iqr = Inter quartile range].
Median CD4 changes in the different age groups
| | ||||||||
|---|---|---|---|---|---|---|---|---|
| < 20 | 14 | - 210 | + 79 | - 86.5 | 1 | + 240 | + 37 | + 277 |
| 20–40 | 40 | - 49.5 | + 77.5 | + 28 | 19 | - 29 | + 65 | + 26 |
| > 40 | 22 | - 70.5 | + 208.5 | + 161.5 | 5 | - 120 | + 186 | + 78 |
| Male | 54 | - 56 | + 95 | + 39 | 18 | - 55 | + 77.5 | + 14.5 |
| Female | 22 | - 101.5 | 91.5 | - 20 | 7 | - 6 | + 32 | + 78 |
iqr = interquartile range of median value.
Two by two table for calculating relative risk
| | |||
|---|---|---|---|
| | | ||
| Cases (CD4 fall > =64) | 12 | 38 | 50 |
| Non-cases (CD4 fall <64) | 13 | 38 | 51 |
| Total | 25 | 76 | 101 |
| Risk | 0.48 | 0.5 | 0.50 |
| | | [95% Conf Interval] | |
| Risk difference | −0.02 | - 0.25 - 0.21 | |
| Relative risk | 0.96 | 0.60 - 1.53 | |
| Odds ratio | 0.92 | 0.38 - 2.25 | |
The median CD4 fall in both HIV positive and negative groups was 64 cells/ml.
Fishers exact p-value = 1.00.
Figure 1Median CD4 changes from pre to 7POD.