Background
Main Text
Cardiovascular mortality rates with influenza and COVID-19
Study | Country | Design | (N) | HTN (%) | DM (%) | CVD (%) | EF < 50 (%) | Influenza and cardiac abnormality (%) | Mortality, N (%) | Mortality and cardiac events |
---|---|---|---|---|---|---|---|---|---|---|
Acute influenza | ||||||||||
Chacko et al. [17] | India | Retrospective | 37 | NR | 5.4 | 5.4 | 54.0 | 80.8 | 34 (91.9) | Crude mortality rate 93% with myocarditis vs 38% without myocarditis |
Fagnoul et al. [18] | Belgium | Retrospective | 46 | NR | NR | 10.9 | NR | 60.9 | 23 (50.0) | Mortality reported similar between patients with and without pre-existing CVD |
Han et al. [19] | China | Retrospective | 40 | 52.5 | NR | 0.2 | 2.5 | 55.0 | 5 (12.5) | NR |
Ludwig et al. [20] | USA | Retrospective | 600 | 89.5 | 46.9 | 28.8 | NR | 23.8 | 18/143 (12.6) | Eleven (61%) of those who died received a diagnosis of NSTEMI or probable NSTEMI ≤ 30 days after laboratory-confirmed influenza virus specimen collection. |
Harris, 2019 [21] | USA | Retrospective | 33 | NR | NR | 42.4 | 36.4 | 100 | 4 (12.1) | All patients who expired while inpatient had no previous documented cardiac history. |
Panhwar, 2019 [22] | USA | Retrospective | 54,590 | 75.0 | 33.1 | NR | 100 | 100 | 3439* (6.3) | NR |
Vejpongsa, 2019 [23] | USA | Prospective | 1,863,615 | 73.2 | 46.0 | 0.5‡ | 0.3 | 0.5 | 1305/9885 (13.2) | NR |
Panhwar, 2019 [24] | USA | Retrospective | 45,460 | NR | NR | NR | 100 | 100 | 2818* (6.2) | NR |
Pizzini et al. [25] | Austria | Cross-sectional analysis | 264 | NR | NR | 33.7 | NR | 31.8 | 10 (3.8) | Higher high-sensitivity cardiac troponin T levels were observed in patients who died within 30 days when compared to patients who survived |
Gao et al. [26] | China | Retrospective, Cohort | 321 | NR | 13.1 | 8.1 | 34.6 | 63.2 | 154 (48.0) | 130 patients who died had cardiac injury vs 24 patients who did not have cardiac injury |
Summary Estimate, % (95% CI)§ | NA | NA | 111,276$ | 74.5 (71.8, 77.1) | 30.4 (22.7, 39.4) | 11.4 (1.5, 52.4) | 13.0 (0.8, 73.5)# | 87.8 (43.8, 98.5) | 17.0 (12.3, 23.0) | NA |
COVID-19 | ||||||||||
Cummings et al. [27] | USA | Prospective Cohort | 257 | 63.0 | 35.8 | 19.1 | NR | 101 (39.3) | Older age, chronic cardiac disease, chronic pulmonary disease, higher concentrations of IL-6, and higher concentrations of D-dimer were independently associated with in-hospital mortality.~ | |
Chen et al. [28] | China | Retrospective | 99 | NR | NR | 40.4 | NR | 11 (11.0) | NR | |
Richardson et al. [29] | USA | Retrospective case-series | 5700 | 53.1 | 31.7 | 16.9 | 6.5 | 553 (9.7) | Mortality was 0% for male and female patients younger than 20 years. Mortality rates were higher for male compared with female patients at every 10-year age interval older than 20 years.~ | |
Goyal, 2020 [30] | USA | Retrospective case-series | 393 | 50.1 | 25.2 | 13.7 | NR | 40 (10.2) | NR | |
Arentz et al. [31] | USA | Retrospective case-series | 21 | NR | 33.3 | NR | 42.9 | 11 (52.4) | NR | |
Zhou et al. [32] | China | Retrospective Cohort | 191 | 30.4 | 18.8 | 7.9 | NR | 54 (28.3) | Odds of in-hospital death was higher in patients with diabetes or coronary heart disease. Age, lymphopenia, leukocytosis, and elevated ALT, lactate dehydrogenase, high-sensitivity cardiac troponin I, creatine kinase, d-dimer, serum ferritin, IL-6, prothrombin time, creatinine, and procalcitonin were also associated with death.~ | |
Huang et al. [4] | China | Cohort | 41 | 14.6 | 19.5 | 14.6 | NR | 6 (14.6) | NR | |
Guan et al. [33] | China | Retrospective | 1099 | 15.0 | 7.4 | 2.5 | NR | 15 (1.4) | NR | |
China | Retrospective case-series | 138 | 31.2 | 10.1 | 14.5 | NR | 6 (4.3) | NR | ||
Guo et al. [5] | China | Retrospective | 187 | 32.6 | 15.0 | 15.5 | NR | 43 (23.0) | NR | |
Yang et al. [36] | China | Retrospective | 52 | NR | 17.3 | 10.0 | NR | 32 (61.5) | NR | |
Wu et al. [37] | China | Cohort | 201 | 19.4 | 10.9 | 4.0 | NR | 44 (21.9) | Patients who died were older and had higher proportions of hypertension.~ | |
Chen et al. [38] | China | Retrospective | 274 | 33.9 | 17.2 | 8.4 | 0.4 | 113 (41.2) | NR | |
Wang et al. [34] | China | Retrospective | 339 | 40.8 | 15.9 | 15.7 | NR | 65 (19.2) | Older age was shown to increase the likelihood of death in elderly patients. Comorbidities including cardiovascular disease cerebrovascular disease were all predictive of fatal outcomes.~ Complications including acute cardiac injury, arrhythmia, acute kidney injury, ARDS, cardiac insufficiency, and bacterial infection were all predictors of death.~ | |
Shi et al. [39] | China | Cohort | 416 | 30.5 | 14.4 | 10.6 | NR | 57 (13.7) | A significantly higher risk of death was observed in patients with cardiac injury than in those without cardiac injury.~ | |
Yu et al. [40] | China | Prospective | 226 | 42.5 | 20.8 | 11.5 | 1.8 | 9 (4.0) | NR | |
Summary estimate, % (95% CI)§ | NA | NA | 9634 | 34.3 (25.7, 44.0) | 18.2 (13.4, 24.1) | 11.9 (9.0, 15.7) | 4.9 (1.1, 19.3) | 16.8 (11.1, 24.8) | NA |
Intensive care unit (ICU) admission between influenza and COVID-19
Study | Country | Design | (N) | Pre-existing CVD for patients in ICU, (%) | ICU, N (%) | ICU stay, days | Requiring invasive mechanical ventilation, N (%) |
---|---|---|---|---|---|---|---|
Acute influenza | |||||||
Chacko et al. [17] | India | Retrospective | 37 | 5.4 | 37 (100) | 12 (9–15) | 25 (67.6) |
Fagnoul et al. [18] | Belgium | Retrospective | 46 | 10.9 | 46 (100) | 9 (2–16) | 26 (56.5) |
Han et al. [19] | China | Retrospective | 40 | 15.0 | 40 (100) | NR | NR |
Ludwig et al. [20] | USA | Retrospective | 600 | 28.8 | 44/143 (30.8) | 6 (2–30) | NR |
Chao et al. [45] | Taiwan | Retrospective | 125 | 35.2 | 125 (100) | 12.7 (10.2)* | NR |
Gao et al. [26] | China | Retrospective | 321 | NR | 260 (81.o) | 10 (3–20) | 196 (61.1) |
Summary estimate, % (95% CI)‡ | NA | NA | 1169 | 20.6 (13.2, 30.7) | 93.8 (74.7, 98.7)§ | NA | 61.1 (56.3, 65.7) |
COVID-19 | |||||||
Cummings et al. [27] | USA | Prospective Cohort | 257 | NR | 203 (79.0) | NR | 203 (80.0) |
Richardson et al. [29] | USA | Retrospective case-series | 5700 | NR | 1281 (22.5) | NR | 1151 (20.2) |
Goyal, 2020 [30] | USA | Retrospective case-series | 393 | NR | NR | NR | 130 (33.1) |
Arentz et al. [31] | USA | Retrospective case-series | 21 | NR | 21 (100) | NR | NR |
Chen et al. [28] | China | Retrospective | 99 | NR | NR | NR | 4 (4.0) |
Zhou et al. [32] | China | Retrospective Cohort | 191 | NR | 50 (26.2) | 8 (4–12) | 32 (16.8) |
Huang et al. [4] | China | Cohort | 41 | NR | 13 (31.7) | NR | 2 (4.9) |
Guan et al. [33] | China | Cohort | 1099 | NR | 55 (5.0) | NR | 25 (2.3) |
Wang et al. [35] | China | Retrospective case-series | 138 | 8.0 | 36 (26.1) | NR | 6 (4.3) |
Yang et al. [36] | China | Retrospective | 52 | 9.6 | 52 (100) | NR | 22 (42.3) |
Wu et al. [37] | China | Cohort | 201 | NR | 53 (26.4) | NR | 5 (2.5) |
Shi et al. [39] | China | Cohort | 416 | NR | NR | NR | 32 (7.7) |
Yu et al. [40] | China | Prospective | 226 | 11.5 | 226 (100) | NR | 85 (37.6) |
Summary estimate, % (95% CI)‡ | NA | NA | 8834 | 10.2 (7.6, 13.5) | 47.2 (28.9, 66.3) | NA | 14.4 (8.0, 24.5) |