Childhood malnutrition and bacteraemia at a tertiary hospital in Malawi
Bibliographic record
Abstract
Abstract Background Malnutrition increases risk of acquiring infections but clinical characteristics and hospital outcomes among children in low resource settings with high rates of antimicrobial resistance have not been clearly described. Aim Our main aim was to ascertain prevalence of bacteraemia in hospitalised children at Queen Elizabeth Central Hospital, Malawi. Methods We conducted a secondary analysis of a prospective study of children who had a blood culture collected during hospitalisation. Results Out of 175 children who had blood cultures collected during hospitalisation, 75 had severe acute malnutrition (SAM), 31 moderate acute malnutrition (MAM), and 69 no acute malnutrition (NAM). Twelve (7%) had bacteraemia (8 SAM, 1 MAM, 3 NAM) and seventeen (10%) died (14 SAM, 2 MAM, 1 NAM). Fever, vomiting and convulsions were least common in SAM (69%, 37%, 1%) compared to MAM (90%, 81%, 10%) and NAM (99%, 46%, 29%; p<0.001) children. Mortality was significantly higher in those with than without bacteraemia (33% vs 8%, p=0.004). Most common isolates were Salmonella Typhimurium (31%) and Escherichia coli (23%). High rates of bacterial resistance were noted to gentamicin (58%), a first-line antibiotic, and ceftriaxone (33%), a second-line antibiotic. Conclusions Mortality and bacteraemia rates are highest in hospitalised children with SAM. Despite this, SAM children do not present with typical clinical features, including fever, vomiting and convulsions. Given the high rate of antimicrobial resistance in this setting, a high index of infection clinical suspicion, awareness of local susceptibility patterns and evidence-based antibiotic guidelines are needed to optimise clinical care and antimicrobial stewardship. Lay Summary Malnutrition increases the risk of having an infection but symptoms and hospital outcomes among children with malnutrition, in countries like Malawi with high rates of antimicrobial resistance, have not been clearly described. This study describes a study of children who had a blood culture collected during admission to Queen Elizabeth Central Hospital, Malawi. Of 175 children who had blood cultures collected, 12 (7%) had a bacteria found (‘bactaeriemia’) and 17 (10%) died. Fever, vomiting and convulsions were significantly less common in severe malnutrition compared to children with moderate malnutrition and those with no malnutrition. Mortality was significantly higher in those with bacteraemia than without. High rates of bacterial resistance were noted to first- and second-line antibiotics. Mortality and bacteraemia rates are highest in hospitalised children with SAM even though they do not present with typical features of bacteraemia.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".