Evidence Hub

Omadacycline for Diverse Infections in China: A Real-World Analysis of Efficacy and Safety

Gao W, Yang J, Zhang X, Tian L, Xu D, Xu S, Liu D, He Y

Infectious diseases and therapy, 2024

183 participants · 3 citations

Abstract

Introduction: The efficacy and safety of omadacycline have been primarily documented through Phase III clinical trials; however, there are limited data from real-world clinical settings. This study aims to explore the real-world use of omadacycline in China and identify the factors associated with its efficacy.

Methods: We conducted a retrospective review of medical records for patients treated with omadacycline at a single center from March 2022 to March 2024. We analyzed demographic characteristics, laboratory results, antibiotic regimens, and clinical outcomes. Logistic regression was employed to identify risk factors associated with clinical treatment failure or failure of microbial clearance.

Results: A total of 183 patients were included in the final analysis. Clinical success was achieved in 71.0% (130/183) of patients, with a bacterial clearance rate of 61.9% (26/42). Renal impairment was observed in 20.8% (38/183) of patients, with 39.5% (15/38) of these patients receiving nephrotoxic antibiotic treatments. Noteworthy adverse drug reactions were rare during the course of the treatment. Multivariate logistic regression analysis identified several independent factors associated with treatment failure: moderate to severe liver damage (OR: 3.073, 95% CI 1.345-7.021, p = 0.008), admission to the respiratory department (OR: 2.573, 95% CI 1.135-5.834, p = 0.024), and a duration of omadacycline therapy of less than 7 days (OR: 3.762, 95% CI 1.626-8.706, p = 0.002).…

How strong is the evidence?

Evidence Hub reads this as a randomized trial, done in people. Its evidence level is 2 of 5 (High · randomized trial). Randomized trials of a reasonable size are the strongest single-study design. Reported size: 183 participants or records.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free