| Literature DB >> 34201330 |
Raffaele Palladino1,2,3, Daniele Ceriotti4, Damiano De Ambrosi4, Marta De Vito4, Marco Farsoni4, Giuseppina Seminara4, Francesco Barone-Adesi4,5.
Abstract
The Oxford-AstraZeneca ChAdOx1 nCoV-19 is a vaccine against the COVID-19 infection that was granted a conditional marketing authorization by the European Commission in January 2021. However, following a report from the Pharmacovigilance Risk Assessment Committee (PRAC) of European Medicines Agency, which reported an association with thrombo-embolic events (TEE), in particular disseminated intravascular coagulation (DIC) and cerebral venous sinus thrombosis (CVST), many European countries either limited it to individuals older than 55-60 years or suspended its use. We used publicly available data to carry out a quantitative benefit-risk analysis of the vaccine among people under 60 in Italy. Specifically, we used data from PRAC, Eudravigilance and ECDC to estimate the excess number of deaths for TEE, DIC and CVST expected in vaccine users, stratified by age groups. We then used data from the National Institute of Health to calculate age-specific COVID-19 mortality rates in Italy. Preventable deaths were calculated assuming a 72% vaccine efficacy over an eight-month period. Finally, the benefit-risk ratio of ChAdOx1 nCoV-19 vaccination was calculated as the ratio of preventable COVID-19 deaths to vaccine-related deaths, using Monte-Carlo simulations. We found that among subjects aged 20-29 years the benefit-risk (B-R) ratio was not clearly favorable (0.70; 95% Uncertainty Interval (UI): 0.27-2.11). However, in the other age groups the benefits of vaccination largely exceeded the risks (for age 30-49, B-R ratio: 22.9: 95%UI: 10.1-186.4). For age 50-59, B-R ratio: 1577.1: 95%UI: 1176.9-2121.5). Although many countries have limited the use of the ChAdOx1 nCoV-19 vaccine, the benefits of using this vaccine clearly outweigh the risks in people older than 30 years. Study limitations included risk of underreporting and that we did not provide age-specific estimates. The use of this vaccine should be a strategic and fundamental part of the immunization campaign considering its safety and efficacy in preventing COVID-19 and its complications.Entities:
Keywords: COVID-19; ChAdOx1 nCoV-19; benefit–risk analysis; thrombo-embolic events; vaccine
Year: 2021 PMID: 34201330 PMCID: PMC8229711 DOI: 10.3390/vaccines9060618
Source DB: PubMed Journal: Vaccines (Basel) ISSN: 2076-393X
Parameters used for Monte Carlo simulations.
| Original Estimates | Updated Estimates | |||
|---|---|---|---|---|
| Parameter | Estimate (95%CI) | Ref. | Estimate (95%CI) | Ref. |
| Vaccine Efficacy | 72.30% (63.10–79.30%) | [ | ||
| COVID-19 death rate (20–29) | 1.37 (0.94–1.94) | [ | ||
| COVID-19 death rate (30–49) | 10.20 (9.40–11.10) | [ | ||
| COVID-19 death rate (50–59) | 55.70 (53.20–58.10) | [ | ||
| CVST incidence rate (20–29) | 0.64 (0.29–1.42) | [ | ||
| CVST incidence rate (30–49) | 1.81 (1.29–2.32) | [ | ||
| CVST incidence rate (50–59) | 1.00 (0.62–1.61) | [ | ||
| DIC incidence rate (20–29) | 0.60 (0.34–1.06) | [ | ||
| DIC incidence rate (30–49) | 1.08 (0.26–1.90) | [ | ||
| DIC incidence rate (50–59) | 3.07 (2.50–3.77) | [ | ||
| TEE incidence rate (20–29) | 40.14 (33.75–47.46) | [ | ||
| TEE incidence rate (30–49) | 85.08 (79.40–91.12) | [ | ||
| TEE incidence rate (50–59) | 200.73 (189.54–212.56) | [ | ||
| RR CVST in vaccine users (20–29) | 21.80 (0.28–121.30) | [ | 44.92 (18.05–92.55) | [ |
| RR CVST in vaccine users (30–49) | 3.67 (1.90–6.40) | [ | 7.98 (5.56–11.11) | [ |
| RR CVST in vaccine users (50–59) | 1.40 (0.20–5.10) | [ | 8.33 (4.31–14.56) | [ |
| RR DIC in vaccine users (20–29) | 23.30 (0.30–129.40) | [ | 6.84 (0.17–38.1) | [ |
| RR DIC in vaccine users (30–49) | 2.02 (0.54–5.16) | [ | 4.14 (2.07–7.42) | [ |
| RR DIC in vaccine users (50–59) | 0.23 (0.01–1.27) | [ | 0.68 (0.14–1.98) | [ |
| RR TEE in vaccine users (20–29) | 3.82 (1.91–6.84) | [ | ||
| RR TEE in vaccine users (30–49) | 1.30 (1.03–1.62) | [ | ||
| RR TEE in vaccine users (50–59) | 0.41 (0.29–0.56) | [ | ||
| DIC fatality rate | 0.57 (0.18–0.90) | [ | 0.53 (0.26–0.79) | [ |
| CVST fatality rate | 0.33 (0.13–0.59) | [ | 0.28 (0.16–0.42) | [ |
| TEE fatality rate | 0.22 (0.17–0.29) | [ | ||
DIC: Disseminated Intravascular Coagulation; CVST: Cerebral Venous Sinus Thrombosis; TEE: Thrombo-Embolic.
Estimated benefit–risk [B-R] ratio of ChAdOx1 nCoV-19 vaccination.
| COVID-19 Deaths Prevented per Excess Death for Embolic and Thrombotic Events | COVID-19 Deaths Prevented per Excess Death for Disseminated Intravascular Coagulation and Cerebral Venous Sinus Thrombosis | ||||
|---|---|---|---|---|---|
| Based on Original Estimates | Based on Original Estimates | Based on Updated Estimates | |||
| Age | B-R Ratio (95% UI) | Age | B-R Ratio (95% UI) | Age | B-R Ratio (95% UI) |
| 20–29 | 0.70 (0.27–2.11) | 20–29 | 0.93 (0.06–14.3) | 18–24 | 1.48 (0.33–5.54) |
| 30–49 | 22.9 (10.1–186.4) | 30–49 | 52.2 (16.6–179.1) | 25–49 | 22.7 (10.9–44.7) |
| 50–59 | 1577.1 (1176.9–2121.5) | 50–59 | 3506.7 (166.0–54,427.9) | 50–59 | 305 (109.7–851.9) |
Estimated benefit–risk [B-R] ratio of ChAdOx1 nCoV-19 vaccination, assuming different extents of under-reporting of embolic and thrombotic events.
| 30% under-Reporting | 50% under-Reporting | 80% under-Reporting | |
|---|---|---|---|
| Age | B-R Ratio (95% UI) | B-R Ratio (95% UI) | B-R Ratio (95% UI) |
| 18–24 | 0.49 (0.19–1.46) | 0.34 (0.13–1.04) | 0.14 (0.05–0.42) |
| 25–49 | 16.1 (7.10–131.6) | 11.4 (5.03–98.1) | 4.59 (2.03–36.5) |
| 50–59 | 1104.4 (823.2–1483.4) | 788.9 (588.7–1058.7) | 315.6 (235.7–422.6) |
Figure 1Probabilistic sensitivity analysis. Number of vaccine-prevented deaths for COVID-19 (benefit) vs. vaccine-related deaths for thrombo-embolic events (risk) after 100,000 simulations. Individuals aged 20–29 years, Italy.
Figure 2Probabilistic sensitivity analysis. Number of vaccine-prevented deaths for COVID-19 (benefit) vs. vaccine-related deaths for thrombo-embolic events risk) after 100,000 simulations. Individuals aged 30–49 years, Italy.
Figure 3Probabilistic sensitivity analysis. Number of vaccine-prevented deaths for COVID-19 (benefit) vs. vaccine-related deaths for thrombo-embolic events (risk) after 100,000 simulations. Individuals aged 50–59 years, Italy.
Figure 4Probabilistic sensitivity analysis. Number of vaccine-prevented deaths for COVID-19 (benefit) vs. vaccine-related deaths for disseminated intravascular coagulation and cerebral venous sinus thrombosis (risk) after 100,000 simulations. Individuals aged 20–29 years, Italy.
Figure 5Probabilistic sensitivity analysis. Number of vaccine-prevented deaths for COVID-19 (benefit) vs. vaccine-related deaths for disseminated intravascular coagulation and cerebral venous sinus thrombosis (risk) after 100,000 simulations. Individuals aged 30–49 years, Italy.
Figure 6Probabilistic sensitivity analysis. Number of vaccine-prevented deaths for COVID-19 (benefit) vs. vaccine-related deaths for disseminated intravascular coagulation and cerebral venous sinus thrombosis (risk) after 100,000 simulations. Individuals aged 50–59 years, Italy.