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Figures & Tables

Figure 1

Participating countries and contribution to patient recruitment.

Table 1

Demographics and comorbidities by continent.

VARIABLEOVERALL, n = 4899, (%)AFRICA, n = 551, (%)AMERICAS, n = 2188, (%)ASIA, n = 1654, (%)EUROPE, n = 506, (%)p-VALUE
Age, years, median, IQR59 (47–69)55 (43–67)60 (48–70)58 (46–68)60 (48–70)<0.001
Age <40, years679 (13.9%)98 (17.8%)240 (11%)264 (16%)77 (15.2%)<0.001
Age 40–64, years2476 (50.5%)292 (53%)1127 (51.5%)819 (49.5%)238 (47%)<0.001
Age 65–79, years1376 (28.1%)130 (23.6%)626 (28.6%)483 (29.2%)137 (27.1%)<0.001
Age ≥80, years368 (7.5%)31 (5.6%)195 (8.9%)88 (5.3%)54 (10.7%)<0.001
Hypertension2284 (46.6%)269 (48.8%)1021 (46.7%)711 (43.0%)283 (55.9%)<0.001
Diabetes Mellitus1458 (29.8%)137 (24.9%)586 (26.8%)618 (37.4%)117 (23.1%)<0.001
Obesity761 (23.4%)66 (28%)455 (31.1%)114 (9.6%)126 (34.3%)<0.001
Chronic Kidney Disease401 (8.2%)37 (6.7%)183 (8.4%)113 (6.8%)68 (13.4%)<0.001
Coronary Artery Disease552 (11.3%)25 (4.5%)183 (8.4%)253 (15.3%)91 (18%)<0.001
Atrial Fibrillation144 (2.9%)3 (0.5%)76 (3.5%)19 (1.1%)46 (9.1%)<0.001
Heart Failure271 (5.5%)18 (3.3%)121 (5.5%)63 (3.8%)69 (13.6%)<0.001
Cancer121 (2.5%)3 (0.5%)74 (3.4%)19 (1.1%)25 (4.9%)<0.001
Smoking*1201 (24.5%)81 (14.7%)396 (18.1%)479 (29.0%)245 (48.4%)<0.001

[i] IQR = Interquartile range.

*Smoking History or Current Smoking Status.

Table 2

Clinical characteristics by continent.

VARIABLEn FOR ANALYSISOVERALL, n (%)/MEDIAN (IQR)AFRICA, n (%)/MEDIAN (IQR)AMERICAS, n (%)/MEDIAN (IQR)ASIA, n (%)/MEDIAN (IQR)EUROPE, n (%)/MEDIAN (IQR)p-VALUE
Vital signs at admission
Respiratory rate (respirations per minute)405022 (20–26)24 (21–28)23 (20–28)22 (20–24)20 (18–22)<0.001
Heart rate (beats per minute)482192 (80–105)94 (81–105)93 (81–107)91 (80–104)88 (80–99)<0.001
Systolic blood pressure (mmHg)4828128 (115–140)133 (121–148)127 (113–140)125 (114–140)130 (120–140)<0.001
Diastolic blood pressure (mmHg)482979 (70–85)83 (72–91)75 (69–84)80 (70–85)80 (70–86)<0.001
Temperature (Celcius)468337 (36.5–38)36.6 (36.2–37.1)37 (36.4–37.9)37.1 (36.6–38)37.6 (37.0–38.2)<0.001
Oxygen saturation (%)459293 (88–96)93 (88–96)91 (85–95)95 (92–97)94 (91–96)<0.001
Cardiovascular complications
Arrhythmia4899299 (6.1%)11 (2%)216 (9.9%)24 (1.5%)48 (9.5%)<0.001
Myocarditis489948 (1%)5 (0.9%)27 (1.2%)14 (0.8%)2 (0.4%)0.3
Pulmonary embolism4899156 (3.2%)6 (1.1%)98 (4.5%)29 (1.8%)23 (4.5%)<0.001
Acute coronary syndrome4899113 (2.3%)5 (0.9%)69 (3.2%)27 (1.6%)12 (2.4%)0.002
Acute heart failure4899286 (5.8%)20 (3.6%)183 (8.4%)61 (3.7%)22 (4.3%)<0.001
Pulmonary findings
Lung Infiltrates3188*2730 (85.6%)127 (90.7%)1790 (88.0%)647 (80.8%)166 (77.6%)<0.001
Pleural effusion3188*288 (9%)20 (14.3%)215 (10.6%)29 (3.6%)24 (11.2%)<0.001
In-hospital treatment
Inotropes/Vasopressors4899795 (16.2%)17 (3.1%)685 (31.3%)60 (3.6%)33 (6.5%)<0.001
Corticosteroid48993438 (70.2%)364 (66.1%)1586 (72.5%)1096 (66.3%)392 (77.5%)<0.001
Anticoagulant/Antiplatelet48993346 (68.3%)195 (35.4%)1955 (89.4%)814 (49.2%)382 (75.5%)<0.001
Invasive mechanical ventilation4899919 (18.8%)26 (4.7%)784 (35.8%)74 (4.5%)35 (6.9%)<0.001
Clinical outcomes
ICU admission48992075 (42.4%)102 (18.5%)1303 (59.6%)589 (35.6%)81 (16%)<0.001
In-hospital mortality4899934 (19.2%)91 (16.9%)587 (26.9%)226 (13.7%)30 (6%)<0.001

[i] ICU = Intensive care unit. IQR = Interquartile range. *Missing data due to unavailability of radiological imaging in 1,711 patients.

Figure 2

Intensive care unit admission rate and mortality rate by continent.

ICU: Intensive care unit.

Figure 3

Heatmap of factors associated with in-hospital COVID-19 mortality by continent.

aRR: adjusted relative risk. For each value, the aRR is presented along with its 95% confidence interval. In these statistical models, 4,873 (99.4%) patients were included in the ‘Global’ model, 537 in Africa, 2,180 in the Americas, 1,652 in Asia, and 504 in Europe.

Table 3

Logistic regression analysis of factors associated with in-hospital COVID-19 mortality by continent.

VARIABLEOVERALL, n = 4873, aOR (95% CI)AFRICA, n = 537, aOR (95% CI)AMERICAS, n = 2180, aOR (95% CI)ASIA, n = 1652, aOR (95% CI)EUROPE, n = 504, aOR (95% CI)
Age 40–64, years2.22 (1.56–3.22, p < 0.001)1.89 (0.74–5.70, p = 0.212)1.87 (1.18–3.05, p = 0.009)3.29 (1.57–8.07, p = 0.004)1.13 (0.15–24.36, p = 0.917)
Age 65–79, years4.56 (3.18–6.68, p < 0.001)5.90 (2.25–18.26, p = 0.001)4.83 (3.01–7.98, p < 0.001)4.20 (1.97–10.41, p = 0.001)3.18 (0.47–66.34, p = 0.318)
Age ≥80, years7.60 (5.02–11.70, p < 0.001)10.76 (3.33–38.78, p < 0.001)10.95 (6.30–19.48, p < 0.001)3.98 (1.56–11.11, p = 0.005)10.63 (1.45–232.01, p = 0.048)
Diabetes Mellitus1.24 (1.03–1.48, p = 0.019)1.66 (0.94–2.89, p = 0.075)1.05 (0.81–1.36, p = 0.701)1.07 (0.77–1.48, p = 0.684)3.38 (1.37–8.52, p = 0.008)
Chronic Kidney Disease1.65 (1.26–2.17, p < 0.001)1.63 (0.68–3.66, p = 0.253)1.75 (1.18–2.60, p = 0.006)2.43 (1.45–3.99, p = 0.001)0.47 (0.14–1.41, p = 0.201)
Myocarditis2.67 (1.34–5.30, p = 0.005)2.67 (1.34–5.30, p = 0.005)1.04 (0.40–2.64, p = 0.940)13.70 (3.72–59.18, p < 0.001)14.01 (0.37–591.44, p = 0.124)
Decompensated heart failure3.23 (2.41–4.32, p < 0.001)1.19 (0.36–3.68, p = 0.763)3.00 (2.06–4.38, p < 0.001)6.76 (3.66–12.56, p < 0.001)1.71 (0.44–6.10, p = 0.422)
Lung infiltrates1.71 (1.41–2.08, p < 0.001)1.20 (0.62–2.27, p = 0.585)1.20 (0.62–2.27, p = 0.585)2.46 (1.78–3.41, p < 0.001)1.75 (0.66–4.61, p = 0.258)
Pleural effusion1.49 (1.11–2.00, p = 0.008)2.10 (0.64–6.75, p = 0.212)1.58 (1.11–2.23, p = 0.010)1.15 (0.42–2.94, p = 0.770)3.59 (0.72–15.70, p = 0.100)
Invasive mechanical ventilation8.42 (6.98–10.20, p < 0.001)18.32 (6.75–55.86, p < 0.001)11.15 (8.68–14.42, p < 0.001)6.59 (3.88–11.25, p < 0.001)12.09 (4.26–35.26, p < 0.001)
Corticosteroid1.53 (1.25–1.88, p < 0.001)2.09 (1.10–4.14, p = 0.028)1.16 (0.89–1.53, p = 0.272)3.00 (1.94–4.80, p < 0.001)0.85 (0.26–3.18, p = 0.794)
Anticoagulation/Antiplatelet0.74 (0.60–0.91, p = 0.004)0.68 (0.37–1.22, p = 0.202)0.64 (0.43–0.96, p = 0.028)1.16 (0.83–1.61, p = 0.393)2.75 (0.67–15.04, p = 0.192)

[i] aORR = Adjusted odds ratio. CI = Confidence interval. First, candidate variables were assessed using univariate analysis. Variables with a p < 0.25 or considered clinically significant were selected for evaluation in the logistic regression model. A backward selection method was then applied to determine the final model for all participants. Finally, this analysis was stratified by continent.

DOI: https://doi.org/10.5334/gh.1403 | Journal eISSN: 2211-8179
Language: English
Submitted on: Sep 29, 2024
Accepted on: Feb 11, 2025
Published on: Feb 28, 2025
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2025 Juan Esteban Gómez-Mesa, Juan Pablo Arango-Ibanez, Pablo Perel, Dorairaj Prabhakaran, Hoover O. León-Giraldo, Alejandro Toro-Pedroza, Ricardo Enrique Larrea Gómez, César J. Herrera, Julián Lugo-Peña, Liliana Patricia Cárdenas Alaz, Victor Rossel, Daniel Sierra-Lara, Jessica Mercedes, Clara Inés Saldarriaga-Giraldo, María Juliana Rodríguez-González, Armando Alvarado, Juan Carlos Ortega, Miguel Quintana Da Silva, Kavita Singh, Karen Sliwa, On behalf of the CARDIO COVID 19–20 and WHF CVD COVID-19 research groups, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.