Case fatality rate
The overall global case fatality rate (CFR), defined as the total number of deaths reported divided by the total number of infections reported, is currently estimated to be 3.8% based on World Health Organization data as of 4 August 2020. The CFR varies considerably between countries.
The overall CFR in China has been estimated to be 2.3% (0.9% in patients without comorbidities) based on a large case series of 72,314 reported cases from 31 December 2019 to 11 February 2020 (mainly among hospitalized patients). However, another study estimates the CFR in China to be lower at 1.38% (after adjusting the crude estimate for censoring, demography, and under-ascertainment).
The overall cumulative incidence of death 90 days after the start of a study in over 10,000 COVID-19 patients in England was <0.01% in those ages 18 to 39 years, and 0.67% and 0.44% in men and women, respectively, in patients ages 80 years and older. Increased risk of death was associated with factors including increasing age, being male, Black and South Asian ethnicity, and comorbidities such as diabetes, severe asthma, and various other medical conditions.
These figures need to be interpreted with extreme caution. In pandemics, CFRs tend to start high and then trend downwards as more data becomes available. For example, at the start of the 2009 H1N1 influenza pandemic the CFR varied from 0.1% to 5.1% (depending on the country), but the mortality rate ended up being around 0.02%. Centre for Evidence-Based Medicine: global COVID-19 case fatality rates external link opens in a new window
Factors that affect the CFR include:
Increased case detection of patients with severe disease
Testing limitations (some countries are only testing patients who have severe symptoms)
Testing rates in each country
Delays between symptom onset and death
Local factors (e.g., patient demographics, availability and quality of health care, other endemic diseases).
It is important to note that daily death counts need to be interpreted with caution. The number of deaths reported on a particular day may not accurately reflect the number of deaths from the previous day due to delays associated with reporting deaths. This makes it difficult to know whether deaths are falling over time in the short term.
In Italy, the CFR may be higher because Italy has the second oldest population in the world, the highest rates of antibiotic resistance deaths in Europe, and a higher incidence of smoking (a known risk factor for more severe disease). The way COVID-19 related deaths are identified and reported in Italy may have also resulted in an overestimation of cases. Patients who die "with" COVID-19 and patients who die "from" COVID-19 are both counted towards the death toll. Only 12% of death certificates have shown direct causality from COVID-19, while 88% of patients who have died had at least one comorbidity.
The overall CFR appears to be less than that reported for severe acute respiratory syndrome coronavirus (SARS) (10%) and Middle East respiratory syndrome (MERS) (37%). Despite the lower CFR, COVID-19 has so far resulted in more deaths than both SARS and MERS combined.
Infection fatality rate
The infection fatality rate (IFR) is the proportion of deaths among all infected individuals including confirmed cases, undiagnosed cases (e.g., mildly symptomatic or asymptomatic cases), and unreported cases. While the CFR is subject to selection bias as more severe/hospitalized cases are tested, the IFR gives a more accurate picture of the lethality of a disease, especially as testing becomes more rigorous within a population.
Among people on board the Diamond Princess cruise ship, a unique situation where an accurate assessment of the IFR in a quarantined population can be made, the IFR was 0.85%. However, all deaths occurred in patients >70 years of age, and the rate in a younger, healthier population could be much lower.
Evidence is now emerging from seroprevalence studies that the prevalence of infections is much higher than the official figures suggest, and that the virus is much less lethal than the current global case and death counts indicate. However, some of these studies may not have been peer reviewed as yet, and may have limitations. Nevertheless, these studies indicate that the IFR may be much lower than the current CFRs.
UK: data from the first round of results of the UK Biobank COVID-19 antibody study indicate that 7.1% of participants had been infected previously overall. Previous infection was most common among people who lived in London (10.4%), and least common among those who lived in the south west of England and Scotland (4.4% in both).
US: seroprevalence estimates from the Centers for Disease Control and Prevention for different states (from 23 March to 3 May) are: New York City metro region (6.93%); Connecticut (4.94%); Missouri (2.65%); Utah (2.18%); South Florida (1.85%); and Western Washington State (1.13%). This means that the difference between reported case counts and estimated case counts based on seroprevalence surveys are between 6 times and 24 times higher (depending on the state), meaning that the IFR in the US may be much lower than previously thought.
Spain: seroprevalence estimates from a nationwide study indicate a seroprevalence of around 5%, with the prevalence in hotspots (e.g., Madrid) being five times higher than that in low-risk regions.
Switzerland: seroprevalence data from Geneva indicate an IFR of 0.64% for the total population, and an IFR of 0.0092% for people ages 20 to 49 years, 0.14% for people ages 50 to 64 years, and 5.6% for people ages 65 years and older.
Iran: the seroprevalence estimate after adjusting for population and test performance characteristics in Guilan province was 22% to 33%, resulting in an estimated IFR of 0.08% to 0.12%.
Denmark: a seroprevalence study in blood donors estimates the IFR to be approximately 0.08% in people aged under 70 years.
New York: based on results of the first round of testing, a research team estimates that approximately 13.9% of the county’s adult population has antibodies to the virus, an estimated IFR of 0.5% based on current deaths in the county.
Los Angeles county, California: based on results of the first round of testing, a research team estimates that approximately 2.8% to 5.6% of the county’s adult population has antibodies to the virus, an estimated IFR of 0.1% to 0.2% based on current deaths in the county. Published seroprevalence data from adults in Los Angeles county found that the community prevalence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibodies was 4.65% in early April. Based on this figure, the authors estimate that approximately 367,000 county residents had SARS-CoV-2 antibodies. This is much higher than the number of confirmed infections at this time, which was 8430. They conclude that fatality rates based on the number of confirmed cases may be much higher than the rates based on the actual number of infections.
Santa Clara county, California: an analysis of 3300 people in early April found that the seroprevalence of antibodies to SARS-CoV-2 in Santa Clara county was between 2.49% and 4.16%. Based on this, researchers estimate that between 48,000 and 81,000 people were infected with the virus at the time (out of the county’s population of approximately 2 million people). Researchers estimate an IFR of 0.1% to 0.2% based on this data.
Germany: the overall seroprevalence in healthcare workers in a tertiary hospital was low (1.6%).
Iceland: the country where the most testing per capita has occurred - the IFR lies between 0.01% and 0.19%.
China: seropositivity varied between 3.2% and 3.8% in Wuhan, and decreased in other Chinese cities as the distance to the epicenter increased.
These estimates are likely to change as more data emerge.
The Centers for Disease Control and Prevention’s current best estimate of the overall CFR in symptomatic cases is 0.4%. It projects a 35% rate of asymptomatic cases among those infected, which makes the IFR approximately 0.26%.
Case fatality rate according to age and presence of comorbidities
The CFR increases with age. The presence of comorbidities is associated with greater disease severity and poor clinical outcomes, and the risk increases with the number of comorbidities a patient has.
The majority of deaths in China have been in patients ages 60 years and older and/or those who have preexisting underlying health conditions (e.g., hypertension, diabetes, cardiovascular disease). The CFR was highest among critical cases (49%). It was also higher in patients ages 80 years and older (15%), males (2.8% versus 1.7% for females), and patients with comorbidities (10.5% for cardiovascular disease, 7.3% for diabetes, 6.3% for chronic respiratory disease, 6% for hypertension, and 5.6% for cancer). Another study found the CFR in China to be 6.4% in patients ages ≥60 years versus 0.32% in patients ages <60 years, and 13.4% in patients ages ≥80 years.
In Italy, the CFR was 8.5% in patients ages 60 to 69 years, 35.5% in patients ages 70 to 79 years, and 52.5% in patients ages ≥80 years. In a case series of 1591 critically ill patients in Lombardy, the majority of patients were older men, a large proportion required mechanical ventilation and high levels of positive end-expiratory pressure, and the mortality rate in the intensive care unit was 26%.
In the US, the CFR was highest among patients ages ≥85 years (10% to 27%), followed by those ages 65 to 84 years (3% to 11%), 55 to 64 years (1% to 3%), 20 to 54 years (<1%), and ≤19 years (no deaths). Patients ages ≥65 years accounted for 80% of deaths. The CFR among critically ill patients admitted to the intensive care unit reached 67% in one hospital in Washington state. Most of these patients had underlying health conditions, with congestive heart failure and chronic kidney disease being the most common. The CFR in residents in a long-term care facility in Washington was reported to be 34%.
The case fatality rate in patients with cancer was 37% for patients with hematologic malignancies and 25% for solid malignancies in one study. Some 55% of lung cancer patients died from COVID-19.
Children have a good prognosis and generally recover within 1 to 2 weeks, and deaths are rare.
The leading cause of death in patients with COVID-19 is respiratory failure from acute respiratory distress syndrome. The overall pooled mortality rate from acute respiratory distress syndrome in COVID-19 patients is 39%; however, this varies significantly between countries (e.g., China 69%, Iran 28%, France 19%, Germany 13%). Patients who required invasive mechanical ventilation had an 88% mortality rate in one study in New York, but it has been much lower (36% to 53%) in other studies. The other most common complications in deceased patients are myocardial injury, liver or kidney injury, and multi-organ dysfunction. The strongest predictor of in-hospital mortality was chronic pulmonary disease, followed by chronic cardiovascular disease, older age, and elevated interleukin-6 and D-dimer levels at admission in a New York study. In one retrospective study of 52 critically ill patients in Wuhan City, 61.5% of patients died by 28 days, and the median time from admission to the intensive care unit to death was 7 days for patients who didn’t survive.
Prognostic factors that have been associated with increased risk of unfavorable outcomes and mortality include:
Age ≥50 years
Presence of comorbidities (e.g., hypertension, diabetes, cardiovascular or cerebrovascular disease, COPD, obesity, malignancy)
Liver, kidney impairment, or cardiac injury
Elevated inflammatory markers (C-reactive protein, procalcitonin, ferritin)
The most common risk factors for death are age ≥65 years, male sex, hypertension, cardiovascular disease, diabetes, chronic obstrictive pulmonary disease, and cancer.
The APACHE II score was found to be an effective clinical tool to predict hospital mortality in patients with COVID-19, and performed better than SOFA and CURB-65 scores in a small retrospective observational study. An APACHE II score of 17 or more was an early indicator of death and may help provide guidance to make further clinical decisions. In another retrospective study, A-DROP (a modified version of CURB-65) showed better accuracy of in-hospital death prediction on admission compared with other widely used community-acquired pneumonia scores. Further research is required to confirm these findings, and to validate the use of prognostic scores in patients with COVID-19.
New clinical risk scores to predict disease progression and the risk for critical illness in hospitalized patients with COVID-19 have been developed (e.g., COVID-GRAM, CALL score). COVID-GRAM, a web-based calculator to estimate the probability that a patient will develop critical illness (defined as intensive care admission, invasive ventilation, or death) has been validated in a study of nearly 1600 patients in China. It relies on the following 10 variables at admission: chest radiographic abnormality, age, hemoptysis, dyspnea, unconsciousness, number of comorbidities, cancer history, neutrophil-to-lymphocyte ratio, lactate dehydrogenase, and direct bilirubin. Additional validation studies, especially outside of China, are required.
Refractory disease (patients who do not reach obvious clinical and radiologic remission within 10 days after hospitalization) has been reported in nearly 50% of hospitalized patients in one retrospective single-center study of 155 patients in China. Risk factors for refractory disease include older age, male sex, and the presence of comorbidities. These patients generally require longer hospital stays as their recovery is slower.
Infectivity of recovered cases
Potential infectivity of recovered cases is still unclear. There have been case reports of patients testing positive again after being discharged (i.e., after symptom resolution and two consecutive negative test results two days apart). This suggests that some patients in convalescence may still be contagious, although this is yet to be confirmed.
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) reinfection/reactivation has been reported in patients after hospital discharge. These patients return a positive reverse-transcription polymerase chain reaction (RT-PCR) test again after two negative RT-PCR tests and after hospital discharge. It is unclear whether these cases are reinfections/relapses/reactivations, or whether the test result was a false-negative at the time of discharge. It has been suggested that retesting positive may be due to discontinuing antiviral treatment in one patient. In a small cross-sectional study, 10 out of 60 patients had a positive RT-PCR from 4 to 24 days after index hospital discharge, presumed to be due to persistent viral shedding rather than reinfection. Increasing the number of consecutive RT-PCR negative test results from 2 to 3 decreases the rate of recurrent RT-positive tests after discharge by approximately 4-fold. Further research is required.
Most convalescent patients have detectable neutralizing antibodies and cellular immune responses. A study in macaques suggests that infection with SARS-CoV-2 offers protection against reinfection. There are no good data available yet on whether patients have immunity from reinfection after recovery. However, the limited data available suggest that recovery from COVID-19 might confer immunity against reinfection. There are data to suggest that asymptomatic people may have a weaker immune response to infection; however, this is yet to be confirmed.
There is anecdotal evidence suggesting that the course of the disease may be protracted, with ever-changing symptoms and periods of feeling better interspersed with periods of relapse in some patients (similar to a postviral fatigue syndrome), even in those with mild disease.
Prolonged illness can also occur among young adults with no underlying comorbidities. In a survey study of symptomatic adults, 35% had not returned to their usual state of health 2 to 3 weeks after testing. Among those ages 18 to 34 years with no underlying chronic medical conditions, 20% had not returned to their usual state of health.
Nearly 90% of discharged patients who recover from COVID-19 reported persistence of at least one symptom 2 months later. Only 12.6% of patients had no related symptoms, 32% had one or two symptoms, and 55% had three or more symptoms. No patients had signs or symptoms of acute illness. The most common persistent symptoms were fatigue, dyspnea, arthralgia, and chest pain.
Patients who are discharged from hospital may have immediate and longer-term health needs including physical (e.g., pulmonary and cardiac rehabilitation, tracheostomy wounds, pressure ulcers, dysphagia, chronic cough, fatigue, neuropathy, muscular weakness, long-term risk of chronic respiratory disorders), psychological and neuropsychological (e.g., delirium, cognitive impairment, post-traumatic stress disorder, anxiety, depression), and social (e.g., impaired activities of daily living).
Use of this content is subject to our disclaimer