Qian Zheng1, Pengfei Ma1, Mingwei Wang2, Yongran Cheng3, Mengyun Zhou4, Lan Ye5, Zhanhui Feng6, Chunlin Zhang7. 1. Department of Neurology, Affiliated Hospital of Guizhou Medical University, Guiyang, China. 2. Department of Cardiology, Affiliated Hospital of Hangzhou Normal University, Hangzhou, China. 3. School of Public Health, Hangzhou Medical College, Hangzhou, China. 4. Shinshu University School of Medicine, Matsumoto, Japan. 5. Engineering Research Center for Molecular Medicine, School of Basic Medical Science, Guizhou Medical University, Guiyang, China. 6. Department of Neurology, Affiliated Hospital of Guizhou Medical University, Guiyang, China. Electronic address: h9450203@126.com. 7. Engineering Research Center for Molecular Medicine, School of Basic Medical Science, Guizhou Medical University, Guiyang, China. Electronic address: zcl@gmc.edu.cn.
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
Study
Events
Paxlovid Group
Placebo group
Events (n)
Total (n)
Events (n)
Total (n)
Dryden-Peterson S, 20222
Death
0
6036
39
24286
Hospitalization
40
6036
223
24286
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
83154
Dai EY, 202210
Rebound
3
11
1
25
Wang L, 202211
Rebound
609
11270
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
Figure 1
Incidence of rebound (A) and adverse events (B) in Paxlovid group and control group.
Basic information of the included studiesIncidence 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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