Literature DB >> 36191676

Efficacy and safety of Paxlovid for COVID-19:a meta-analysis.

Qian Zheng1, Pengfei Ma1, Mingwei Wang2, Yongran Cheng3, Mengyun Zhou4, Lan Ye5, Zhanhui Feng6, Chunlin Zhang7.   

Abstract

Entities:  

Year:  2022        PMID: 36191676      PMCID: PMC9523907          DOI: 10.1016/j.jinf.2022.09.027

Source DB:  PubMed          Journal:  J Infect        ISSN: 0163-4453            Impact factor:   38.637


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To the Editor: We read with interest a recent article reported by Wang Y et al . The authors reported a case of COVID-19 rebound in a severe COVID-19 patient during long term (20 days) treatment of Paxlovid. Paxlovid is a recommended treatment for mild-moderate COVID-19 and risk factors for severe disease. With wide-spread use of Paxlovid, there have been case reports of individuals experiencing virologic rebound. Hence, meta-analysis of the efficiency and safety of Paxlovid in patients with COVID-19 is of great importance. An extensive literature search was performed in PubMed, Web of Science, EMBASE, and Cochrane Library to find all for relevant studies published from December 1, 2021, to September 20, 2022. We screened the references of the retrieved studies and restricted the language of the search to English. Following keywords were used in the search: Paxlovid (nirmatrelvir/ritonavir) and COVID-19 (SARS-CoV-2, SARS2, SARS Coronavirus 2, Coronavirus Disease 2019, 2019-nCoV, 2019 Novel Coronavirus). The inclusion criteria were as follows: (1) the article reported the clinical results of Paxlovid, including the total number of participants and the specific number of deaths, hospitalization, rebound or adverse events; (2) English language. The exclusion criteria were as follows: (1) irrelevant to the research direction, (2) no relevant data, (3) case reports, (4) review papers, (5) repeated articles. The analysis was conducted using the Review Manager statistical software, version 5.3. A binary controlled study was used to calculate the number of deaths, hospitalization, rebound or adverse events. Odds ratio (OR) and 95% confidence interval (CI) were used to assess the effect in a whole random-effects meta-analysis model. The I 2 and P value was used to quantify the heterogeneity of the effects among the included studies. A total of 13 studies involving 186306 patients were identified in the final analysis, and the detail of the included studies are shown in Table 1 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14. Three studies described the rebound of COVID-19 patients in Paxlovid group and control group. The overall OR of rebound among COVID-19 patients in the Paxlovid vs. control group was 0.99 (95% CI, 0.28-3.57; I 2 =59%), P =0.99 (Figure 1 A). Five studies described adverse events in Paxlovid group and control group. The overall OR of adverse events among COVID-19 patients in the Paxlovid vs. control group was 1.07 (95% CI, 0.49-2.34; I 2 =90%), P =0.87 (Figure 1B). There is no significant difference of rebound and adverse events in Paxlovid group and control group.
Table 1

Basic information of the included studies

StudyEventsPaxlovid GroupPlacebo group
Events (n)Total (n)Events (n)Total (n)
Dryden-Peterson S, 20222Death060363924286
Hospitalization40603622324286
Ganatra S, 20223Death01130101130
Hospitalization101130231130
Hammond J, 20224Death06979682
Hospitalization569744682
Adverse events47611095251115
Hedvat J, 20225Death028375
Hospitalization3282375
Pfizer; 20216Death060710612
Hospitalization660741612
Adverse events1060740612
Saravolatz LD, 20227Death01039121046
Hospitalization81039661046
Adverse events671039221046
Wong CKH, 20228Death3189083890
Yip TCF, 20229Hospitalization1724921193183154
Dai EY, 202210Rebound311125
Wang L, 202211Rebound609112702042374
Li HY, 202212Rebound22583244
Anderson AS, 202213Adverse events2399017980
Yan GF, 202214Adverse events25730
Figure 1

Incidence of rebound (A) and adverse events (B) in Paxlovid group and control group.

Basic information of the included studies Incidence of rebound (A) and adverse events (B) in Paxlovid group and control group. Subgroup analysis: impact of Paxlovid on mortality and hospitalization rates of COVID-19 patients. In addition, we analyze the efficacy of Paxlovid on death and hospitalization for COVID-19 patients. Seven studies described the death of COVID-19 patients in the Paxlovid group and control group, and seven studies described the hospitalization of COVID-19 patients. Our study showed that the overall OR for death and hospitalization among COVID-19 patients in the Paxlovid vs. control group was 0.22 (95% CI, 0.11-0.45; I 2 =93%), P <0.0001. The result indicates that the Paxlovid treatment is effective for patients with COVID-19, reducing the mortality or hospitalization rate by 78% (Figure 1). Subtype analysis shows that the OR of mortality for COVID-19 patients in the Paxlovid vs. control group was 0.12 (95% CI, 0.04-0.36; I 2 =42%), P=0.0001, indicating an 88% reduction in mortality. The OR of hospitalization for COVID-19 patients in the Paxlovid vs. control group was 0.32 (95% CI, 0.13-0.75; I2 =95%), P=0.009, a 68% reduction in hospitalization rate. In conclusion, our research shows that Paxlovid for COVID-19 is effective and safe. COVID-19 rebound is not unique to Paxlovid. There is no significant difference of rebound in Paxlovid group and control group. There has been more attention to COVID-19 rebounds following Paxlovid treatment, which may be attributable to more people being treated with Paxlovid. However, the phenomenon of rebounds following Paxlovid treatment reinforces the importance of testing for individuals with recurrent symptoms after Paxlovid treatment.

Funding

This work was supported by Science and Technology Fund of Guizhou Health Commission (No.gzwkj2021-024), and the cultivate project 2021 for , Affiliated Hospital of Guizhou Medical University (No.gyfynsfc-2021-14).

Declaration of Competing Interest

All authors report that they have no potential conflicts of interest.
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