Prevalence and morphological types of anaemia and hookworm infestation in the medical emergency ward, Mulago Hospital, Uganda.
Bibliographic record
Abstract
INTRODUCTION: Anaemia is common worldwide, although the burden is highest in developing countries where nutrient deficiencies and chronic infections are prevalent. OBJECTIVE: To determine the prevalence and morphological types of anaemia and assess the hookworm burden among patients in the medical emergency ward at Mulago national referral hospital, Uganda. METHODS: In a cross-sectional descriptive study 395 patients were recruited by systematic random sampling and their socio-demographic characteristics and clinical details collected. A complete blood count and peripheral film examination were done and stool examined for hookworm ova. STATISTICAL ANALYSIS: Data were processed using Epi-Info version 6 and Stata version 9. The chi-square test was used for categorical variables and Student's t-test for non-categorical variables. Multiple logistic regression was used to determine factors predictive of anaemia. RESULTS: Of the patients 255 (64.6%) had anaemia. The prevalence was higher among males (65.8%) than females (63.7%). Fatigue (odds ratio (OR) 2.1, confidence interval (CI) 1.37 - 3.24), dizziness (OR 1.64, CI 1.07 - 2.44), previous blood transfusion (OR 2.83, CI 1.32 - 6.06), lymphadenopathy (OR 2.99, CI 1.34 - 6.66) and splenomegaly (OR 5.22, CI 1.78 - 15.28) were significantly associated with anaemia. Splenomegaly, low body mass index (BMI) (<19) and being HIV positive were independently associated with anaemia. The commonest type of anaemia was hypochromic microcytic (34.1%). Only 10.6% of anaemic patients had hookworm infestation. CONCLUSIONS: In our study the prevalence of anaemia (64.6%) was very high. Splenomegaly, HIV infection and low BMI were independently associated with anaemia. The commonest type of anaemia was microcytic hypochromic (34.1%). There was a low prevalence of hookworm infestation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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 teacher head, 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".