Comparison of Efficacy and Side Effects of Azithromycin and Co-Amoxiclav in the Treatment of Acute Sinusitis in Adults: A Randomized Clinical Trial
Bibliographic record
Abstract
BACKGROUND: Regarding high prevalence of common cold and sinusitis in Chaharmahal and Bakhtiari Province and the lack of studies on patients referring hospitals in this province, this study was conducted to determine and compare the efficacy and side effects of azithromycin and co-amoxiclav. METHODS: This study was a double-blinded randomized clinical trial. The study population of this clinical trial was consisted of 90 patients with acute sinusitis aged 12-65 years. At least two major criteria or one major criterion and two minor criteria with duration of at least 7 days and at most 28 days, were some of the sinusitis diagnostic criteria for inclusion of the patients into the study. The patients were examined for symptoms prior to and twice after the treatment. The treatment was administration with 500 mg azithromycin tablet per day for three days in group 1 (G1) and 625 mg co-amoxiclav tablet every 8 h for 10 days in group 2 (G2). The data were analyzed by repeated measures analysis of variance, independent t-test, and chi-square in Stata software and P < 0.05 was considered significant. RESULTS: Mean±Standard deviation age of all patients was 32.14±9.91 years. Out of 90 participants in the study, 50 (55.56%) were male and the rest were female. The patients’ symptoms were quantitatively similar in the two groups (22.3±2 and 22.2±1.9 in G1 and G2, respectively) prior to the intervention. The score at second examination decreased to 3.7±2.1 in G1 and to 9.4±2.7 in G2, significantly different from that prior to intervention and between the two groups (P<0.001). Although the score decreased in the two groups at third examination, it was not significant in the two groups (P=0.652). The cure rate in azithromycin group was derived 87.5% and 88%, and in co-amoxiclav group 32.4% and 83.3% at the days 5 and 10 of treatment, respectively. The most prevalent side effects in the two groups were diarrhea and nausea. The prevalence of diarrhea was obtained 21% and 33% in G1 and G2, respectively. CONCLUSION: No significant difference in side effects was seen between the two groups. Although the cure was faster in the patients treated with azithromycin than those treated with co-amoxiclav, co-amoxiclav is still considered as adequately working against acute sinusitis bacterial pathogens. In view of this efficacy, co-amoxiclav seems to lead to no drug resistance and could be used to treat the patient
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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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".