IMPAQ International, 10420 Little Patuxent Parkway, Suite 300, Columbia, MD, 21044, USA.
College of Pharmacy and Health Sciences, Butler University, 4600 Sunset Avenue, Indianapolis, IN, 46208, USA.
Res Social Adm Pharm. 2022 Oct;18(10):3855-3859. doi: 10.1016/j.sapharm.2022.05.008. Epub 2022 May 13.
The study aims to compare antibiotic prescribing trends for U.S. COVID-19 patients, categorized by disease severity, and non-COVID-19 population with similar symptoms during 2019-2020 pandemic.
A retrospective observational cohort design using Symphony Health (January-November 2020). Sample population included about 13.3 million patients with at least one prescription claim ±6 months from date of diagnosis of COVID-19 or COVID-19 like symptom. Cohorts were categorized based on diagnosis codes; COVID-19 positive cohorts 1 to 3 with severe, mild, and no symptoms, respectively and non-COVID-19 cohorts 4 and 5 with severe and mild symptoms, respectively. Descriptive statistics were calculated for demographic characteristics and acute antibiotic utilization (≤7 days) including total number of antibiotics, weekly rate of prescribing, and proportion of fills in three "appropriateness" categories (always appropriate, potentially appropriate, never appropriate).
Three cohorts with a positive COVID-19 diagnosis code constituted a total of about 1.8 million patients (13.53%). About 22.79% of COVID-19 positive groups had severe symptoms, 24.43% had moderate symptoms and the majority, 52.78%, had no symptoms. In the analytical sample of 13 million, about 4.2 million antibiotic prescriptions were prescribed to 2.5 million patients (19%) within 7 days of the first diagnosis of either COVID-19 or COVID-19-like symptoms. Within the COVID-19 positive cohorts, about 11% received an antibiotic prescription, while the non-COVID-19 cohorts, about 19.70% received an antibiotic. Among patients with antibiotic prescriptions, about 37.01% were prescribed an antibiotic "appropriately", 39.46% were prescribed a "potentially appropriate" antibiotic and about 22.64% received an "inappropriate" antibiotic. Among patients prescribed antibiotics, azithromycin was the most common, ranging from 21.80 to 44.80% for each cohort.
Although the overall proportion of COVID-19 patients receiving antibiotics was much lower than non-COVID-19 patients, the findings suggest use of antibiotics persisted despite guidelines against widespread use, particularly for patients with moderate and mild COVID-19 symptoms.
本研究旨在比较美国 COVID-19 患者(按疾病严重程度分类)和 2019-2020 年大流行期间具有类似症状的非 COVID-19 人群的抗生素处方趋势。
使用 Symphony Health(2020 年 1 月至 11 月)进行回顾性观察性队列设计。样本人群包括约 1330 万例至少有一次处方用药的患者,距 COVID-19 或 COVID-19 样症状诊断日期 ±6 个月。队列根据诊断代码分类;COVID-19 阳性队列 1 至 3 分别为严重、轻度和无症状,非 COVID-19 队列 4 和 5 分别为严重和轻度症状。计算人口统计学特征和急性抗生素使用(≤7 天)的描述性统计数据,包括抗生素总数、每周处方率以及三个“适当性”类别(始终适当、可能适当、从不适当)的配药比例。
三个 COVID-19 阳性诊断代码队列总计约 180 万例患者(占 13.53%)。约 22.79%的 COVID-19 阳性组有严重症状,24.43%有中度症状,大多数(52.78%)无症状。在约 1300 万的分析样本中,约 420 万例抗生素处方在 COVID-19 或 COVID-19 样症状首次诊断后 7 天内开给了 250 万例患者(占 19%)。在 COVID-19 阳性队列中,约 11%的患者接受了抗生素处方,而非 COVID-19 队列中,约 19.70%的患者接受了抗生素处方。在接受抗生素处方的患者中,约 37.01%的处方“适当”,39.46%的处方“可能适当”,约 22.64%的处方“不适当”。在接受抗生素处方的患者中,阿奇霉素最为常见,每个队列的比例均为 21.80%至 44.80%。
尽管 COVID-19 患者接受抗生素治疗的总体比例远低于非 COVID-19 患者,但研究结果表明,尽管有反对广泛使用抗生素的指南,但抗生素的使用仍在继续,尤其是对有中度和轻度 COVID-19 症状的患者。