As a result, to assess the impact directly, the focus has shifted towards the number of deaths caused by COVID-19. There are two different ways to determine mortality rate: CRF (case fatality rate) refers to the proportion of deaths when compared to the total number of cases diagnosed with COVID-19 disease) whereas IFR (infection fatality rate) refers to the number of deaths per total number of infected cases (which may include healthy asymptomatic individuals). According to the Johns Hopkins coronavirus resource center, the current CRF for United States is ~3.0%. Though this statistic is used commonly amongst physicians, CRF figures do not take into account of those clinically undetected (i.e. those who display atypical or asymptomatic to very mild symptoms).
Meta-study refers to combining the results from the previously conducted individual studies (ex. clinical trials) to arrive at a point with greater statistical power. Meta-analysis conducted on published reports, government documents, etc. from various global regions yielded IFR of ~0.68% (with 0.53-0.82% range) for COVID-19 (Meyerowitz-Katz et al., 2020). This is comparable to IFR of 0.63% reported for the state of Arizona (USA) (August 2000; https://www.statnews.com/2020/08/24/infection-fatality-rate-shows-covid-19-isnt-getting-less-deadly/ ). A report from Stanford University (USA) showed a median IFR value of 0.27% IFR for 32 global locations (though higher for 'extreme hotbed locations') (Ioannidis, 2020). The latest figure from CDC says: 0.0002 (or 0. 02% for 20-49 y), 0.005 (or 0.5% for 50-69 y), 0.054 (or 5.4% for >70y; https://www.cdc.gov/coronavirus/2019-ncov/hcp/planning-scenarios.html#table-1 ). in contrast, IFR for seasonal influenza virus is estimated ~0.1%.
To gauge the true burden of COVID-19, the extent of 'excess mortality' was examined. It is obtained by comparing all deaths in a given period with the number of predicted deaths based on average of preceding years (ex. 5 years). But it turns out a significant fraction of excess deaths was not attributed to COVID-19, i.e. 25% in the case of United States and 74% in Peru (from March through June 2020) (Fig. 1B). Further, the remaining fraction may need to be divided into those who died due to COVID-19 versus those who died due to unrelated causes (despite being infected). The excess deaths may also include deaths caused by lockdown indirectly (ex. patients skipping hospital visits, domestic violence, exacerbated mental conditions), as documented by a sharp increase in deaths due to asthma, diabetes, hypertension, dementia, Alzheimer's disease in United Kingdom (Viglione, 2020).
As those with underlying conditions are more susceptible to COVID-19 associated death, investigators at Sloan Kettering Memorial Cancer Center (USA) investigated the impact of various treatment modalities on >400 cancer patients exhibiting COVID-19 symptoms(Robilatti et al., 2020). In addition to conventional treatments, immunotherapy is increasingly used to manage melanoma, lung cancer and several other cancers. The recently introduced therapeutic agent called 'immune checkpoint inhibitor' (ex. PD-1 blockade) is designed to increase autoimmunity against tumor. The study showed that lung cancer and other solid tumor patients receiving immune checkpoint inhibitors had higher frequency of hospitalization and severe respiratory illness from COVID-19. In contrast, chemotherapy and surgery did not pose a greater risk.
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References
Bullard J, Dust K, Funk D, Strong JE, Alexander D, Garnett L, et al. Predicting infectious SARS-CoV-2 from diagnostic samples. Clin Infect Dis. (2020) PMID: 32442256
Ioannidis J. The infection fatality rate of COVID-19 inferred from seroprevalence data. medRxiv (2020) doi: https://doi.org/10.1101/2020.05.13.20101253
Jefferson T, Spencer E, Brassey J, Heneghan C. Viral cultures for COVID-19 infectivity assessment. medRxiv (2020) doi: https://doi.org/10.1101/2020.08.04.20167932
Meyerowitz-Katz G, Merone L. A systematic review and meta-analysis of published research data on COVID-19 infection-fatality rates. medRxiv (2020) doi: https://doi.org/10.1101/2020.05.03.20089854
Robilotti EV, Babady NE, Mead PA, Rolling T, Perez-Johnston R, Bernardes M, et al. Determinants of COVID-19 disease severity in patients with cancer. Nat Med. 26:1218-1223 (2020). PMID: 32581323
Viglione G. How many people has the coronavirus killed? Nature. 585:22-24 (2020) PMID: 32873974