| Literature DB >> 23043325 |
Digsu Negese Koye1, Tadesse Awoke Ayele, Berihun Megabiaw Zeleke.
Abstract
BACKGROUND: An estimated 2.5 million children were living with HIV/AIDS at the end of 2009, 2.3 million (92%) in sub-Saharan Africa. Without treatment, a third of children with HIV will die of AIDS before their first birthday, half dying before two years of age. Hence, this study aimed to assess magnitude and predictors of mortality among children on Antiretroviral Therapy (ART) at a referral hospital in North-West Ethiopia.Entities:
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Year: 2012 PMID: 23043325 PMCID: PMC3478986 DOI: 10.1186/1471-2431-12-161
Source DB: PubMed Journal: BMC Pediatr ISSN: 1471-2431 Impact factor: 2.125
Baseline socio-demographic characteristics of Children on ART at Felege Hiwot referral hospital, January 1, 2006 - March 31, 2011
| < 1yr | 22 | 4.0 |
| 1-5 yr | 197 | 35.9 |
| 5-15 yr | 330 | 60.1 |
| Male | 286 | 52.1 |
| Female | 263 | 47.9 |
| Urban | 365 | 66.5 |
| Rural | 184 | 33.5 |
| Parents | 377 | 83.4 |
| Guardian | 19 | 4.2 |
| In Orphanage centers | 10 | 2.2 |
| Grand parents | 36 | 8.0 |
| Sibling | 10 | 2.2 |
| Mother and father alive | 241 | 55.0 |
| Maternal orphan | 102 | 23.3 |
| Paternal orphan | 38 | 8.7 |
| Double orphan | 57 | 13.0 |
Baseline clinical and immunological status of Children on ART at Felege Hiwot referral hospital, January 1, 2006 - March 31, 2011
| | | ||
| WHO clinical stage | | 9 | 1.6 |
| Immunological/CD4Count | | 35 | 6.4 |
| Both clinical and immunologic | | 505 | 92.0 |
| | | ||
| 4a(d4T-3TC-NVP) | | 208 | 37.9 |
| 4b(d4T-3TC-EFV) | | 37 | 6.7 |
| 4c(AZT-3TC-NVP) | | 258 | 47.0 |
| 4d(AZT-3TC-EFV) | | 43 | 7.8 |
| Kaletra based | | 3 | 0.6 |
| | | ||
| Yes | | 68 | 12.5 |
| No | | 475 | 87.5 |
| | | ||
| CD4 count below the threshold | | 289 | 52.6 |
| CD4 count above the threshold | | 260 | 47.4 |
| | | ||
| Appropriate | | 531 | 96.7 |
| Delayed | | 9 | 1.6 |
| Regressing | | 9 | 1.6 |
| | | ||
| Yes | | 287 | 52.3 |
| No | | 262 | 47.7 |
| | | ||
| Underweight | | 453 | 82.5 |
| Normal | | 92 | 16.8 |
| Overweight | | 4 | 0.7 |
| | | ||
| I | | 45 | 8.2 |
| II | | 128 | 23.3 |
| III | | 317 | 57.7 |
| IV | | 59 | 10.7 |
| | | ||
| <10gm/dl | | 103 | 19.8 |
| ≥10gm/dl | | 417 | 80.2 |
| | | ||
| Good | | 491 | 98.8 |
| Fair | | 3 | 0.6 |
| Poor | | 3 | 0.6 |
| | | ||
| Yes | | 165 | 30.1 |
| No | | 384 | 69.9 |
| | | ||
| Yes | | 49 | 8.9 |
| No | 477 | 86.9 | |
Figure 1Kaplan Meier survival curve among Children on ART at Felege Hiwot referral hospital, January 1, 2006 - March 31, 2011.
Multivariate Cox regression analysis of predictors of mortality among Children on ART at Felege Hiwot referral hospital, January 1, 2006 - March 31, 2011
| | | | | |
| < 1yr | 4 | 18 | 1 | |
| 1-5 yr | 10 | 187 | 0.25(0.08, 0.79) | * |
| 5 -15 yr | 27 | 303 | 0.38(0.13, 1.09) | * |
| | | | | |
| Male | 17 | 269 | 0.66 (0.35, 1.22) | * |
| Female | 24 | 239 | 1 | |
| | | | | |
| Yes | 20 | 145 | 2.01 (1.09, 3.72) | * |
| No | 21 | 363 | 1 | |
| | | | | |
| Yes | 8 | 279 | 1 | 1 |
| No | 33 | 229 | 4.89(2.26,10.59) | |
| | | | | |
| Appropriate | 34 | 497 | 1 | 1 |
| Delayed/regressing | 7 | 11 | 10.13(4.43, 23.1) | |
| | | | | |
| I/II | 8 | 165 | 0.28(0.11, 0.72) | * |
| III | 23 | 294 | 0.43(0.21, 0.91) | * |
| IV | 10 | 49 | 1 | |
| | | | | |
| <10gm/dl | 15 | 88 | 2.87(1.5, 5.5) | |
| ≥10gm/dl | 24 | 393 | 1 | 1 |
| | | | | |
| Underweight | 39 | 414 | 3.89(0.94, 16.1) | * |
| Normal | 2 | 94 | 1 | |
| | | | | |
| CD4 count below the threshold | 30 | 259 | 2.55(1.28, 5.1) | |
| CD4 count above the threshold | 11 | 249 | 1 | 1 |
* Non significant from the multivariate Cox regression (Backward LR method).