Determinants of Mortality in Children under Five Years of Age with Severe Acute Malnutrition Admitted to the Yalgado Ouédraogo Teaching Hospital (Burkina Faso)
Bibliographic record
Abstract
Background: To determine critical factors associated with severely malnourished children under five this case-control study was conducted. Methods: The data of a total of 433 children aged 0-59 months and admitted to the Hospital Yalgado Ouedraogo, (CHU – YO) between January 31, 2009 to January 31, 2013, were included in the analysis: 72 for the case group and 361 for the control group. Clinical and treatment records were accessed and data were analyzed. Results: For clinical signs, determinants of mortality were diarrhea [OR = 4.6; (95%CI 2.6-8.2], anorexia [OR = 2.7; (95%CI 1.4-5.0] and hepatomegaly [OR = 2.6; (95%CI 1.4-4.8]. For infections, determinants of mortality were pediatric HIV/AIDS [OR = 10.9; (95%CI 5.6-21.5] and digestive illnesses [OR = 5.1 (95%CI 2.8-9.4)]. Regarding the complications of malnutrition, determinants of mortality were severe dehydration [OR = 16.4 (95%CI 8.0-33.5)], skin lesions [OR = 14.3 (95%CI 6.4 -31.9)], heart failure [OR = 6.8 (95%CI 2.5-19.0)] and severe anemia [OR = 3.2(95%CI 1.4-7.1)]. For biochemical indicators, low serum sodium [OR = 0.7(95%CI 0.5-1.0)] and potassium levels [OR = 0.9(95%CI 0.9-1.0)] were the critical factors. In addition the risk of death was associated with low value of MUAC [OR = 0.9 (95% CI 0.8-0.9)]. Conclusions: The risk of death of children with severe acute malnutrition varies according to different factors studied.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".