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. 2022 Sep 30;86(1):66–117. doi: 10.1016/j.jinf.2022.09.027

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

Qian Zheng a, Pengfei Ma a, Mingwei Wang b, Yongran Cheng c, Mengyun Zhou d, Lan Ye e, Zhanhui Feng a,, Chunlin Zhang e,⁎⁎
PMCID: PMC9523907  PMID: 36191676

To the Editor:

We read with interest a recent article reported by Wang Y et al. 1. 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 186,306 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 (Fig. 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 (Fig. 1B). There is no significant difference of rebound and adverse events in Paxlovid group and control group.

Fig. 2.

Fig 2

Subgroup analysis: impact of Paxlovid on mortality and hospitalization rates of COVID-19 patients.

Table 1.

Basic information of the included studies.

Study Events Paxlovid Group
Placebo group
Events (n) Total (n) Events (n) Total (n)
Dryden-Peterson S, 20222 Death 0 6036 39 24,286
Hospitalization 40 6036 223 24,286
Ganatra S, 20223 Death 0 1130 10 1130
Hospitalization 10 1130 23 1130
Hammond J, 20224 Death 0 697 9 682
Hospitalization 5 697 44 682
Adverse events 476 1109 525 1115
Hedvat J, 20225 Death 0 28 3 75
Hospitalization 3 28 23 75
Pfizer; 20216 Death 0 607 10 612
Hospitalization 6 607 41 612
Adverse events 10 607 40 612
Saravolatz LD, 20227 Death 0 1039 12 1046
Hospitalization 8 1039 66 1046
Adverse events 67 1039 22 1046
Wong CKH, 20228 Death 31 890 83 890
Yip TCF, 20229 Hospitalization 172 4921 1931 83,154
Dai EY, 202210 Rebound 3 11 1 25
Wang L, 202211 Rebound 609 11,270 204 2374
Li HY, 202212 Rebound 2 258 3 244
Anderson AS, 202213 Adverse events 23 990 17 980
Yan GF, 202214 Adverse events 2 5 7 30

Fig. 1.

Fig 1

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

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% (Fig. 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 National Natural Science Foundation of China, 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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