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COMET-ICE 研究中症状评估,索特罗维单抗用于 COVID-19 非住院患者早期治疗的 2/3 期研究。

Assessment of symptoms in COMET-ICE, a phase 2/3 study of sotrovimab for early treatment of non-hospitalized patients with COVID-19.

机构信息

Vir Biotechnology, Inc., San Francisco, CA, USA.

GSK, Collegeville, PA, USA.

出版信息

J Patient Rep Outcomes. 2023 Sep 13;7(1):92. doi: 10.1186/s41687-023-00621-8.

Abstract

BACKGROUND

The COMET-ICE trial demonstrated that sotrovimab clinically and statistically significantly reduces the risk of all-cause > 24-h hospitalization or death due to any cause among patients with COVID-19 at high risk of disease progression. Patient-reported outcomes are important to capture symptom burden of COVID-19 and assess treatment effectiveness. This study investigated symptoms and their impact over the acute phase of COVID-19 infection among patients on sotrovimab versus placebo.

METHODS

Randomized (1:1), double-blind, multicenter, placebo-controlled, phase 2/3 study in 57 centers across five countries. Participants were non-hospitalized patients with symptomatic, mild-to-moderate COVID-19 and ≥ 1 baseline risk factor for disease progression (aged ≥ 55 years or ≥ 1 of the following: diabetes requiring medication, obesity, chronic kidney disease, congestive heart failure, chronic obstructive pulmonary disease, or moderate-to-severe asthma). An intravenous infusion of sotrovimab 500 mg or placebo was administered on Day 1. The FLU-PRO Plus questionnaire was administered once-daily with 24-h recall from Day 1-21, and at Day 29. Intensity and duration of COVID-19 symptoms were determined from area under the curve (AUC) and mean change in total and individual domain scores through Days 7, 14, and 21. Time to symptom alleviation was assessed.

RESULTS

In total, 1057 patients were randomized to sotrovimab (n = 528) or placebo (n = 529). At Day 7, mean decrease in FLU-PRO Plus total score (measured by AUC) was statistically significantly greater for patients on sotrovimab (-3.05 [95% confidence interval (CI) -3.27 to -2.83]) than placebo (-1.98 [95% CI -2.20 to -1.76]; difference -1.07 [95% CI -1.38 to -0.76]; p < 0.001). Significant differences were also observed at Days 14 and 21. A more rapid decline in symptom severity was observed with sotrovimab versus placebo through Week 1 and the first 21 days post-treatment. By Day 21, 41% of patients on sotrovimab and 34% on placebo reported symptom resolution. In a post-hoc analysis, median time to symptom alleviation was 4 and 6 days, respectively.

CONCLUSIONS

Sotrovimab provides significant and rapid improvements in patient-reported COVID-19 symptoms, as measured by the FLU-PRO Plus. These results further show the benefits of sotrovimab in alleviating symptoms among high-risk patients with COVID-19. Trial registration ClinicalTrials.Gov: NCT04545060 ( https://clinicaltrials.gov/ct2/show/NCT04545060 ). Date of registration: September 10, 2020 (retrospectively registered).

摘要

背景

COMET-ICE 试验表明,索特罗维单抗可显著降低 COVID-19 高疾病进展风险患者因任何原因导致的 24 小时以上住院或死亡的风险。患者报告的结果对于捕捉 COVID-19 的症状负担和评估治疗效果很重要。本研究调查了索特罗维单抗组与安慰剂组 COVID-19 感染急性期的症状及其影响。

方法

这是一项在五个国家的 57 个中心进行的随机(1:1)、双盲、多中心、安慰剂对照、2/3 期研究。参与者是非住院的有症状的、轻度至中度 COVID-19 患者,且有≥1 个疾病进展的基线危险因素(年龄≥55 岁或≥以下之一:需要药物治疗的糖尿病、肥胖症、慢性肾脏病、充血性心力衰竭、慢性阻塞性肺疾病或中重度哮喘)。在第 1 天给予索特罗维单抗 500mg 或安慰剂静脉输注。从第 1 天到第 21 天,每天使用 24 小时回顾法进行 FLU-PRO Plus 问卷调查,并在第 29 天进行。通过第 7、14 和 21 天的曲线下面积(AUC)和总评分及各域评分的平均变化来确定 COVID-19 症状的强度和持续时间。评估症状缓解时间。

结果

共有 1057 名患者被随机分配至索特罗维单抗(n=528)或安慰剂(n=529)组。在第 7 天,与安慰剂组(AUC 测定的平均下降值为-1.98 [95%CI -2.20 至-1.76])相比,索特罗维单抗组的 FLU-PRO Plus 总评分(AUC 测定)的平均下降值具有统计学意义(-3.05 [95%CI -3.27 至-2.83]);差值为-1.07 [95%CI -1.38 至-0.76];p<0.001)。在第 14 天和第 21 天也观察到了显著差异。与安慰剂相比,索特罗维单抗组在第 1 周和治疗后 21 天内,症状严重程度的下降更为迅速。到第 21 天,41%的索特罗维单抗组患者和 34%的安慰剂组患者报告症状缓解。在一项事后分析中,索特罗维单抗组和安慰剂组的中位症状缓解时间分别为 4 天和 6 天。

结论

索特罗维单抗可显著改善 COVID-19 患者的报告症状,如 FLU-PRO Plus 所测定的。这些结果进一步表明,索特罗维单抗可缓解 COVID-19 高风险患者的症状。试验注册ClinicalTrials.gov:NCT04545060(https://clinicaltrials.gov/ct2/show/NCT04545060)。注册日期:2020 年 9 月 10 日(回顾性注册)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8c63/10499766/513b5c130200/41687_2023_621_Fig1_HTML.jpg

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