Antibiotic-associated suspected adverse drug reactions among hospitalized patients in Uganda: a prospective cohort study
Bibliographic record
Abstract
We sought to determine the prevalence at admission and incidence during hospitalization of antibiotic-associated suspected adverse drug reactions (aa-ADRs) among Ugandan inpatients; and to characterize these aa-ADRs. We conducted a prospective cohort study of 762 consented adults admitted on medical and gynecological wards of the 1790-bed Mulago National Referral Hospital. Thirty percent were known HIV-seropositive (232/762). Nineteen percent (148/762; 95% CI: 17-22%) of inpatients experienced at least one aa-ADR. At hospital admission, 6% (45/762; 95% CI: 4-8%) of patients had at least one aa-ADR; and 15% (45/300; 11-20%) of those who had received antibiotics in the 4-weeks preadmission. Twenty-four (53%) of these 45 patients had serious aa-ADRs. The incidence of aa-ADRs was 19% (117/629; 95% CI: 16-22%) of patients who received antibiotics [community-acquired: 9% (27/300; 95% CI: 6-13%); hospital-acquired: 16% (94/603; 95% CI: 13-19%)]: 39 (33%) of 117 patients had serious aa-ADRs. Of 269 aa-ADRs, 115 (43%) were community-acquired, 66 (25%) probable/definite, 171 (64%) preventable, 86 (32%) serious, and 24 (9%) rare. Ceftriaxone was the most frequently implicated for serious hospital-acquired aa-ADRs. Cotrimoxazole, isoniazid, rifampicin, ethambutol, and pyrazinamide were the most frequently linked to serious community-acquired aa-ADRs. Fatal jaundice (isoniazid), life-threatening difficulty in breathing with shortness of breath (rifampicin) and disabling itchy skin rash with numbness of lower swollen legs (ethambutol, isoniazid) were observed. Pharmaceutical quality testing of implicated antibiotics could be worthwhile. Periodic on-ward collection and analysis of antibiotic-safety-data standardized by consumption is an efficient method of tracking antibiotics with 1%-risk for serious aa-ADRs.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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; both teacher heads agree on what is shown here.
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".