Different features of cholera in malnourished and non-malnourised children: analysis of 10-year surveillance data from a large diarrheal disease hospital in urban Bangladesh
Bibliographic record
Abstract
Abstract Background: Malnourished children are more prone to infectious diseases including severe diarrhea compared to non-malnourished children. Understanding of the differences in the presentation of severe diarrhea such as cholera in children with varying nutritional status may help in the early identification and management these children. However, data are scarce on differences in the presentation in such children. Thus, we aimed to identify the clinical differentials among children with cholera with or without malnutrition. Methods: Data were extracted from diarrheal disease surveillance system (DDSS) of the Dhaka Hospital of icddr,b for the period, January 2008 to December 2017. Among under-five children, cholera positive (culture confirmed) and malnourished children (weight-for-age, weight-for-length or height-for-age Z score (WAZ, WHZ or HAZ) <-2) were considered as the cases (n=305) and children with cholera but non-malnourished (WAZ, HAZ, and WHZ ≥-2.00 to ≤+2.00) were the controls (n=276). Results : A total of 14,403 under-five children were enrolled in the surveillance system during the study period. After adjusting for potential covariates such as maternal illiteracy and slum dwelling, it was revealed that under-five malnourished children with cholera significantly more often presented to the hospital during evening hours (6 pm to 12 mid-night) (OR=1.64, 95% CI=1.16-2.31, P<0.05), had fathers who were illiterate (OR=1.70, 95% CI=1.11-2.62, P<0.05), presented with history of cough within last 7 days (OR=1.64, 95% CI=1.10-2.43, P<0.05), dehydrating diarrhea (OR=1.70, 95% CI=1.15-2.53, P<0.05), and had longer hospitalization (OR=1.50, 95% CI=1.05-2.14, P<0.05). Conclusions: The study results underscore the importance of understanding of the basic differences in the presentation of severe cholera in malnourished children for prompt identification and the subsequent management of these children. These observations may help policy makers in formulating better case management strategy. Author Summary: Malnourished children are more vulnerable to infectious diseases including cholera in comparison to the non-malnourished children. They often have suboptimal immune function, though there is no precise information on whether there is any difference in associated factor(s) or clinical course of cholera in under-five children with varying nutritional status. Therefore, this study was conducted to elucidate these insights by using the surveillance data of the Dhaka hospital of icddr,b. Among all the under-five children with cholera, 305 malnourished (WAZ or WLZ or HAZ <-2) children constituted as the cases (malnourished), and another 276 non-malnourished (WAZ, HAZ, and WHZ ≥-2.00GtoG≤+2.00) cholera children formed the comparison group. In this study we revealed that care seeking at evening time was more common in the malnourished children with cholera compared to those without malnutrition. Dehydrating diarrhea was about two folds higher and prolonged hospitalization was frequent in malnourished children with cholera than their counterparts. These key findings may help policy makers in formulating better case management strategy in the near future.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".