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Figures & Tables

Figure 1

Central figure displaying participating sites and key study findings.

Figure 2

Hospital level resources and ICU admissions by regions. Figure 1 shows that sites in the African region had significantly lower rates of specialist care, advanced care, and ICU admissions compared to non-African sites.

Table 1

Demographic and clinical characteristics of African study participants vs. non-African study participants. The African cohort was significantly younger and had a significantly higher percentage of black participants compared to the non-African cohort. African sites fell into lower and lower-middle income categories, whereas the non-African cohort was comprised of lower-middle- and higher-income sites. African participants had significantly higher heart rates and rates of hypertension with higher baseline systolic and diastolic blood pressures. Covid-19 vaccination rates were significantly lower in the African cohort.

AFRICA COHORTNON-AFRICAN COHORTP-VALUESFOR DIFFERENCE BETWEEN OVERALL AFRICAN AND NON-AFRICAN VALUES
OVERALL (N = 948)SURVIVORS (N = 775)NON-SURVIVORS (N = 173)OVERALL (4365)SURVIVORS (3737)NON-SURVIVORS (N = 628)
Agemean (SD)55.0 (16.0)53.5 (15.5)62.1 (16.1)57.5 (16.0)56.1 (16.0)65.6 (13.4)<0.001
SexFemale394 (41.6)319 (41.2)75 (43.3)1760 (40.3)1551 (41.5)209 (33.3)0.5
Male554 (58.4)456 (58.8)98 (56.6)2605 (59.7)2186 (58.5)419 (66.7)
Ethnic OriginCaucasian5 (0.5)5 (0.6)0 (0.0)795 (18.2)744 (19.9)51 (8.1)<0.001
Hispanic11 (1.2)10 (1.3)1 (0.6)531 (12.1)393 (10.5)138 (21.9)
Black743 (78.4)620 (80.0)123 (71.1)53 (1.2)49 (1.3)4 (0.6)
Middle Eastern6 (0.6)5 (0.6)1 (0.6)309 (7.0)278 (7.4)31 (4.9)
Asian22 (22.3)16 (2.1)6 (3.5)2420 (55.4)2030 (54.3)390 (62.1)
Other159 (16.8)117 (15.1)42 (24.3)200 (4.5)186 (4.9)14 (2.2)
Unknown2 (0.2)2 (0.3)0 (0.0)57 (1.3)57 (1.5)0
World Bank Income GroupsLIC376 (39.7)331 (42.7)45 (26.0)000<0.001
LMIC383 (40.4)303 (39.1)80 (46.2)2250 (51.5)1838 (49.2)412 (65.6)
MIC189 (19.9)141 (18.2)48 (27.7)748 (17.1)601 (16.1)147 (23.4)
HIC0001367 (31.3)1298 (34.7)69(11.0)
Body Mass Index(Kg/m2), mean (SD)26.9 (7.4)26.6 (7.55)28.8 (6.3)26.8 (5.2)26.9 (5.18)26.5 (5.09)<0.001
Underweight (<18)38 (4.0)29 (3.7)10 (5.8)45 (1.0)38 (1.0)7 (1.1)
Normal weight (18–24.99)115 (12.1)105 (13.5)1 (0.6)1302 (29.8)1140 (30.5)162 (25.7)
Overweight (25–29.99)113 (13.8)101 (14.8)12 (6.9)1168 (26.8)1032 (27.6)136 (21.6)
Obese (≥ 30)131 (13.8)115 (14.8)16 (9.2)697 (16.0)615 (16.4)82 (13.0)
Unknown551 (58.1)425 (54.8)134 (77.5)1153 (26.4)912 (24.4)241 (38.3)
Cough609 (64.0)494 (63.7)115 (66.4)3015 (69.1)2593 (69.3)422 (67.2)0.005
Dyspnoea or Tachypnoea580 (61.2)435 (56.1)145 (83.8)2728 (62.5)2254 (60.3)474 (75.5)0.5
Heart rate (beats/min), mean (SD)94.3 (19.8)92.6 (18.3)102 (24.1)91.5 (17.2)90.9 (16.7)95.3 (19.8)<0.001
Systolic BP (mmHg), mean (SD)133.7 (22.6)134.1 (21.2)132 (28.0)128.0 (20.3)128.0 (19.5)129.0 (24.7)<0.001
Diastolic BP (mmHg), mean (SD)81.4 (14.7)82.3 (13.9)77.1 (17.1)77.5 (12.5)77.7 (12.1)76.4 (14.8)<0.001
Comorbidities (cardiovascular)Hypertension463 (48.8)356 (45.9)107 (61.8)2048 (46.9)1704 (45.6)344 (54.8)0.09
Diabetes240 (25.3)172 (22.2)68 (39.3)1460 (33.4)1174 (31.4)286 (45.5)<0.001
Coronary Artery disease35 (3.7)26 (3.4)9 (5.2)545 (12.4)420 (11.2)125 (19.9)<0.001
Heart Failure37 (3.9)32 (4.1)5 (2.9)253 (5.8)206 (5.5)47 (7.4)0.02
Stroke35 (3.7)29 (3.7)6 (3.4)162 (3.7)130 (3.4)32 (5.0)0.6
Atrial Fibrillation11 (1.2)7 (0.9)4 (2.3)148 (3.4)127 (3.4)21 (3.3)<0.001
Peripheral Vascular Disease12 (1.3)9 (1.2)3 (1.7)94 (2.2)76 (2.0)18 (2.8)0.1
Cardiomyopathies13 (1.4)10 (1.3)3 (1.7)47 (1.1)43 (1.1)4 (0.6)0.5
Rheumatic Heart Disease2 (0.2)2 (0.3)054 (1.2)47 (1.3)7 (1.1)0.003
Chagas Disease00036 (0.8)34 (0.9)2 (0.3)<0.001
Congenital Heart disease3 (0.3)3 (0.4)0179 (4.1)163 (4.3)16 (2.5)<0.001
Valvular Disease8 (0.8)6 (0.8)2 (1.2)110 (2.5)88 (2.4)22 (3.5)<0.001
Comorbidities (non-cardiovascular)Chronic Kidney Disease54 (5.7)34 (4.4)20 (11.5)350 (8.0)265 (7.1)85 (13.5)<0.001
Chronic Pulmonary disease20 (2.1)15 (1.9)5 (2.9)189 (4.3)145 (3.8)44 (7.0)0.002
Asthma38 (4.0)33 (4.3)5 (2.9)181 (4.1)167 (4.4)14 (2.2)0.2
Chronic Immunosuppression24 (2.5)18 (2.3)6 (3.4)112 (2.6)92 (2.4)20 (3.1)<0.001
HIV56 (5.9)48 (6.2)8 (4.6)15 (0.3)14 (0.4)1 (0.1)<0.001
Tuberculosis34 (3.6)31 (4.0)3 (3.4)22 (0.3)18 (0.5)4 (0.6)<0.001
Cancer on Chemotherapy6 (0.6)3 (0.4)3 (3.4)108 (2.5)87 (2.3)21 (3.3)0.003
Renal Replacement Therapy6 (0.6)3 (0.4)3 (3.4)56 (1.3)42 (1.1)14 (2.2)<0.001
Previous Organ Transplant2 (0.2)1 (0.1)1 (0.5)43 (1.0)37 (0.9)6 (0.9)<0.001
Covid Vaccine6 (0.6)5 (0.6)1 (0.5)325 (7.4)323 (8.6)2 (0.3)<0.001
Table 2

In-hospital findings of participants with Covid-19. African participants had a higher WCC and a significantly higher CRP compared to non-African participants. African non-survivors had higher pro-BNP levels, higher total cholesterol levels, and LDL cholesterol levels compared to non-African non-survivors. T wave changes were more common and QTc longer in the African participants on their admission ECGs. ICU admissions rates were lower in the African cohort, but with higher rates of cardiac arrest. Other major adverse events were comparable between the two groups. Rates of pneumonia and ARDS also showed no statistically significant differences. Acute renal injury was more common in African participants.

AFRICA COHORTNON-AFRICAN COHORTP-VALUES FOR DIFFERENCE BETWEEN OVERALL AFRICAN AND NON-AFRICAN VALUES
OVERALL (N = 948)SURVIVORS (N = 775)NON-SURVIVORS (N = 173)OVERALL (N = 4365)SURVIVORS (3737)NON-SURVIVORS (N = 628)
Laboratory findings (median; IQR)WCC, ×10^9/L2.0 (0.00, 8.8)2.6 (0.0, 8.5)0.03 (0.01, 9.3)4.8 (0.0, 8.3)5.2 (0.0, 8.5)0.02 (0.0, 6.9)0.3
Hb, mml/L7.9 (6.9, 8.7)8.0 (7.1; 8.8)7.6 (6.4; 8.6)8.0 (7.1; 8.8)8.0 (7.2; 8.8)7.8 (6.6; 8.7)0.02
Platelets, 10^3/uL238 (180; 315)239 (182; 317)230 (174; 308)230 (166; 343)231 (168; 347)216 (152; 318)<0.001
CRP, mg/L75.7 (24.5; 142.5)68.1 (20.9; 133)105.4 (52.3; 197.8)51 (16.6; 103.6)46.3 (15.1; 99.3)91 (34.3; 163.4)<0.001
Creatinine, umol/L84.4 (69; 114.9)82 (67.9; 106.3)104.4 (74.3; 144.8)88.0 (70.7; 113.2)85.8 (69.8; 107)99.5 (76.3; 155.7)0.2
D-Dimer, mg/FEU/L1.0 (0.4; 5.9)0.8 (0.3; 6.1)1.9 (0.5: 5.2)1.0 (0.5; 4:0)0.9 (0.4; 3.3)2.0 (0.8; 5.4)0.7
NT-Pro-BNP, pmol/L60.5 (15; 257.1)19.6 (7.1; 85.2)163.7 (37.6; 480.7)60.1 (12; 254.0)47.4 (10.3; 226.1)130.4 (41.4; 454.0)0.2
HbA1c6.8 (6.1; 8.6)6.8 (6.1; 8.7)6.9 (6.3; 8.6)6.9 (6.1, 8.4)6.9 (6.1; 8.5)6.9 (6.2; 8.4)0.3
IL-6, pg/ml---25.2 (8.7; 64.7)21.6 (7.0; 52.0)64.5 (21.3; 125.0)-
Total cholesterol. mmol/L4.2 (3.3; 5.1)4.2 (3.3; 5.2)4.3 (2.9; 4.9)4.0 (3.1; 5.0)4.2 (3.4; 5.2)3.4 (2.7; 4.3)0.6
HDL1.0 (0.8; 1.2)1.0 (0.8; 1.2)1.0 (0.8; 1.1)0.9 (0.8; 1.1)1.0 (0.8; 1.1)0.8 (0.6; 1.1)0.4
LDL2.5 (1.6, 3.5)2.5 (1.8; 3.6)3.3 (1.1; 3.3)2.2 (1.6; 2.9)2.3 (1.8; 3.0)1.6 (1.2; 2.2)0.8
Triglycerides1.5 (1.0; 2.1)1.5 (1.1; 2.2)1.1 (1.0; 1.5)1.6 (1.2; 2.1)1.6 (1.2; 2.1)1.6 (1.3; 2.3)0.2
ECG FindingsT wave changes (%)170 (17.9)131 (16.9)39 (22.5)605 (13.8)463 (12.3)142 (22.6)0.005
AF (%)21 (2.2)13 (1.7)8 (4.6)110 (2.5)84 (2.2)26 (4.1)<0.001
QTc (median, IQR)437 (406; 460)433 (403; 459)447 (420; 472)413 (1; 443)410 (1; 440)424 (352; 456)<0.001
Median Length of Hospital Stay in days (IQR)9 (6, 13)9 (6, 13)10 (5.25, 11.50)10 (6,15)10 (6,15)11 (6, 17)0.3
ICU admission (%)184 (19.4)110 (14.2)74 (42.7)1484 (34.0)1063 (28.4)421 (67.0)<0.001
Major Adverse Cardiovascular Events (%)Cardiac Arrest71 (7.5)071 (41.0)223 (5.1)56 (1.4)167 (26.6)0.003
Acute heart Failure35 (3.7)23 (3.0)12 (6.9)166 (3.8)78 (2.1)88 (14.0)0.2
Atrial Fibrillation15 (1.6)1 (0.1)9 (5.2)111 (2.5)80 (2.1)31 (4.9)0.1
Myocardial Infarction8 (0.8)4 (0.5)4 (2.3)76 (1.7)59 (1.5)17 (2.7)0.003
Myocarditis9 (0.9)5 (0.6)4 (2.3)38 (0.8)17 (0.4)21 (3.3)0.03
Ventricular Arrythmia8 (0.8)3 (0.4)5 (2.8)52 (1.1)35 (0.9)17 (2.7)0.4
Pericarditis13 (1.4)12 (1.5)1 (0.5)17 (0.3)15 (0.4)2 (0.3)<0.001
Endocarditis1 (0.1)1 (0.1)0 (0.0)8 (0.1)5 (0.1)3 (0.4)0.5
Heart Blocks9 (0.9)7 (0.9)2 (1.2)68 (1.5)51 (1.3)17 (2.7)0.3
Haemorrhagic Stroke0 (0.0)0 (0.0)0 (0.021 (0.4)14 (0.3)7 (0.1)0.07
Ischaemic Stroke6 (0.6)3 (0.4)3 (1.7)50 (1.1)35 (0.9)15 (2.3)0.3
Pulmonary Embolus11 (1.2)8 (1.0)3 (1.7)105 (2.4)79 (1.9)26 (4.1)<0.001
Respiratory OutcomesPneumonia338 (35.7)252 (32.5)86 (49.7)1654 (37.8)1324 (35.4)330 (52.5)0.2
Acute Respiratory Distress Syndrome116 (12.2)58 (7.5)58 (33.5)607 (13.9)363 (9.7)244 (38.9)<0.001
Acute Renal Injury120 (12.7)63 (8.1)57 (32.9)316 (7.2)144 (3.8)172 (27.3)<0.001
OtherAnaemia87 (9.2)58 (7.5)29 (16.7)359 (8.2)253 (6.7)106 (16.8)0.4
Shock37 (3.9)4 (0.5)33 (19.0)251 (5.7)48 (1.2)203 (32.3)0.05
Liver Dysfunction43 (4.5)30 (3.9)13 (7.5)192 (4.3)142 (3.7)50 (0.8)<0.001
Table 3

In-hospital outcomes, outcomes at 30 days, and overall causes of death in African and non-African participants. In-hospital death was more common in hospitalised African participants compared to non-African participants. Although 30-day mortality was lower in the African cohort, overall mortality was significantly higher in the African cohort.

AFRICAN (N = 948)NON-AFRICAN (N = 4365)P-VALUE FOR DIFFERENCE
In-hospital outcomes (%)0.03
Discharged682 (71.9)3391 (77.7)
Alive, and still an inpatient7 (0.7)157 (3.6)
Transfer to another facility73 (7.7)155 (3.6)
Death162 (17.0)521 (11.9)
Palliative discharge0 (0.0)3 (0.1)
Unknown24 (2.5)138 (3.2)
Outcomes at 30 days (%)<0.001
Alive659 (69.5)2968 (68.0)
Re-hospitalized5 (0.5)67 (1.5)
Death11 (1.2)107 (2.5)
Unknown/loss-to-follow-up79 (8.3)589 ((13.5)
CAUSE OF DEATH (IN-HOSPITAL + 30-DAY MORTALITY)(N = 173)(N = 628)<0.001
Sudden Cardiac Death30 (17.3)124 (19.7)
Presumed Cardiovascular21 (12.1)20 (3.2)
Death due to MI3 (1.7)5 (0.8)
Respiratory Failure69 (39.9)249 (39.6)
Death due to Heart Failure3 (1.7)46 (7.3)
Pulmonary embolus2 (1.2)8 (1.3)
Death due to Stroke0 (0.0)31 (4.9)
Other41 (23.7)134 (21.3)
Unknown4 (2.3)11 (1.8)
Overall mortality173 (18.2)628 (14.2)0.003
Table 4a

Logistic regression analyses for factors associated with in-hospital death in COVID-19 hospitalized patientsAdjusted for age, sex, BMI, smoking, vaccine status, diabetes, hypertension, COPD, asthma, HIV, and acute renal injury. Both the African and non-African cohorts showed significantly increased odds of death in participants aged 60 or older. The non-African cohort had higher odds of overall mortality in participants aged 45–60, compared to individuals 45 or younger. Being female was associated with lower odds of overall mortality in the non-African cohort compared to being male. This sex difference was not observed in the African cohort in overall mortality. In the African cohort, smoking status did not significantly change the odds of in-hospital death, whereas in the non-African cohort, smoking was protective. Vaccination status was associated with a strong protective status in the non-African cohort. Diabetes showed a significantly higher risk for in-hospital deaths both in the African and non-African cohorts. Acute renal injury showed the highest increase in odds for in-hospital death, especially in the African cohort.

AFRICAN COHORTNON-AFRICAN COHORT
UNADJUSTED ODDS OR (95% CI)ADJUSTED ODDS* OR (95% CI)UNADJUSTED ODDS OR (95% CI)ADJUSTED ODDS* OR (95% CI)
Demographic
Age<45 (Ref)1.01,01.01.0
45–601.09 (0.64, 1.87)0.63 (0.14, 2.81)2.63 (1.85, 3.80)1.91 (1.25, 3.00)
>603.28 (2.11, 5,23)2.95 (0.86, 11.33)4.90 (3.56, 6.90)3.73 (2.52, 5.67)
SexMale1.01,01.01.0
Female1.12 (0.79, 1.57)1.81 (0.67, 5.08)0.76 (0.63, 0.92)0.76 (0.58, 1.00)
History
Smoking statusNever (Ref)1.01.01.01.0
Current1.96 (0.71, 4.67)10.57 (0.46, 101.00)0.36 (0.21, 0.59)0.44 (0.24, 0.76)
Former2.15 (1.04, 4.18)1.54 (0.22, 8.33)0.92 (0.70, 1.19)0.64 (0.45, 0.90)
BMI18–241.01,01.01.0
<180.32 (0.02, 1.78)0.27 (0.01, 1.92)1.05 (0.36, 2.48)0.88 (0.27, 2.31)
25–291.27 (0.50, 3.27)0.78 (0.23, 2.54)1.01 (0.78, 1.31)0.94 (0.71, 1.25)
>301.52 (0.65, 3.76)1.03 (0.32, 3.33)0.99 (0.73, 1.33)0.85 (0.60, 1.19)
COVID vaccine statusUnvaccinated1.01,01.01.0
Vaccinated0.39 (0.02, 2.49)0.02 (0.00, 0.08)0.09 (0.00, 0.40)
Clinical
ComorbiditiesDM2.47 (1.72, 3.52)3.51 (1.31, 9.62)1.82 (1.51, 2.19)1.43 (1.10, 1.85)
COPD1.22 (0.35, 3.37)2.06 (1.42, 2.93)2.03 (1.19, 3,36)
Asthma0.72 (0.24, 1.72)1.69 (0.08, 11.47)0.56 (0.30, 0.95)0.55 (0.26, 1.07)
Hypertension1.98 (1.40, 2.83)1.96 (0.68, 5.96)1.49 (1.4, 1.79)0.89 (0.68, 1.16)
HIV0.57 (0.22, 1.25)0.74 (0.06, 4.45)
In-hospital complicationsAcute renal injury5.69 (3.75, 8.62)48.12 (13.44, 197.50)10.36 (8.10, 13.25)8.27 (6.07, 11.27)
Table 4b

Logistic Regression analysis for factors associated with overall mortality in Covid-19 hospitalised patients. *Adjusted for demographic variables age, sex, BMI, smoking, vaccine status, diabetes, hypertension, COPD, asthma, HIV, and acute renal injury. In the non-African cohort, both participants aged >60 and between 45–60 had higher odds of overall mortality. In the African cohort, only those above the age of 60 were at higher risk of mortality. There was no sex difference in the African participants associated with mortality, but in the non-African cohort, being of female sex was protective. Current smoking status appeared protective only in the non-African cohort. Diabetes was associated with a significantly higher mortality in both groups. AKI showed increased mortality in both groups in adjusted models, but showed a much higher risk of death in the African cohort.

AFRICAN COHORTNON-AFRICAN COHORT
UNADJUSTED ODDS OR (95% CI)ADJUSTED ODDS* OR (95% CI)UNADJUSTED ODDS OR (95% CI)ADJUSTED ODDS* OR (95% CI)
Demographic
Age<45 (Ref)1.01,01.01.0
45–601.01 (0.60, 1.71)0.66 (0.15, 2.76)2.76 (2.00, 3.89)2.14 (1.42, 3.29)
>603.42 (2.23, 5.38)4.03 (1.26, 14.73)5.27 (3.92, 7.24)4.18 (2.86, 6.26)
SexMale1.01,01.01.0
Female1.09 (0.78, 1.52)1.95 (0.76, 5.17)0.70 (0.59, 0.84)0.71 (0.55, 0.91)
History
Smoking statusNever (Ref)1.01,01.01.0
Current2.00 (0.78, 4.57)8.04 (0.36, 72.45)0.43 (0.27, 0.66)0.53 (0.31, 0.86)
Former1.82 (0.88, 3.50)1.15 (0.17, 5.86)0.98 (0.76, 1.25)0.70 (0.50, 0.97)
BMI18–241.01,01.01.0
<180.28 (0.02, 1.56)0.24 (0.01, 1.64)1.30 (0.52, 2.78)1.19 (0.43, 2.85)
25–291.25 (0.52, 3.08)0.77 (0.25, 2,36)0.93 (0.73,1.18)0.85 (0.65, 1.11)
>301.46 (0.64, 3.47)0.98 (0.33, 2.96)0.94 (0.70, 1.24)0.81 (0.59, 1.11)
COVID vaccine statusUnvaccinated1.01,01.01.0
Vaccinated0.37 (0.02, 2.33)0.03 (0.0, 0.09)
Clinical
ComorbiditiesDM2.31 (1.62, 3.28)3.07 (1.20, 7.92)1.81 (1.52, 2.14)1.43 (1.11, 1.83)
COPD1.51 (0.48, 3.95)1.86 (1.30, 2.61)2.05 (1.24, 3.31)
Asthma0.67 (0.23, 1.59)1.11 (0.06, 7.29)0.49 (0.27, 0.81)0.47 (0.22, 0.90)
Hypertension1.94 (1.39, 2.74)1.82 (0.67, 5.17)1.39 (1.17, 1.65)0.91 (0.70, 1.17)
HIV0.74 (0.32, 1.50)0.63 (0.06, 3.43)0.42 (0.02, 2.11)
In-hospital complicationsAKI5.82 (3.85, 8.79)41.74 (12.02, 164.04)9.16 (7.19, 11.68)8.02 (5.91, 10.90)
Table 4c

Logistic Regression analysis for factors associated with MACE. Adjusted for demographic variables age, sex, BMI, smoking, vaccine status, diabetes, hypertension, COPD, asthma, HIV, and acute renal injury. In adjusted models, age >60 was associated with MACE only in the non-African cohort. Among African participants, being female was significantly associated with occurrence of MACE, whereas in the non-African cohort, being female was protective. Covid vaccination status appeared to have no impact on MACE. Diabetes was associated with a higher odds of MACE occurrence in the non-African cohort, but not in the African one. Again, acute renal injury appeared to be one of the strongest predictors of adverse cardiac outcomes in both cohorts.

AFRICAN COHORTNON-AFRICAN COHORT
UNADJUSTED ODDS OR (95% CI)ADJUSTED ODDS* OR (95% CI)UNADJUSTED ODDS OR (95% CI)ADJUSTED ODDS* OR (95% CI)
Demographic
Age<45 (Ref)1.01,01.01.0
45–600.87 (0.50, 1.51)0.28 (0.01, 5.22)2.75 (2.06, 3.70)2.06 (1.48, 2.89)
>602.10 (1.34, 3.37)1.95 (0.18, 30.89)3.94 (3.02, 5.22)2.82 (2.06, 3.90)
SexMale1.01,01.01.0
Female1.22 (0.84, 1.77)19.95 (2.65, 440.97)0.77 (0.65, 0.92)0.68 (0.54, 0.84)
History
Smoking statusNever (Ref)1.01,01.01.0
Current2.90 (1.23, 6.28)0.51 (0.34, 0.74)0.48 (0.30, 0.73)
Former2.09 (1.03, 3.98)2.48 (0.11, 53.07)1.31 (1.05, 1.61)0.95 (0.73, 1.24)
BMI18–241.01,01.01.0
< 180.92 (0.37, 1.97)1.04 (0.40, 2.38)
25–291.37 (0.30, 7.09)0.95 (0.06, 16.17)0.93 (0.75, 1.16)0.84 (0.66, 1.05)
>303.42 (1.04, 15.42)1.01 (0.09, 14.47)1.09 (0.86, 1.39)0.94 (0.72, 1.23)
COVID vaccine statusUnvaccinated1.01,01.01.0
Vaccinated1.16 (0.06, 7.53)0.20 (0.11, 0.35)0.51 (0.22, 1.02)
Clinical
ComorbiditiesDM1.90 (1.28, 2.81)1.35 (0.15, 10.61)1.65 (1.40, 1.95)1.32 (1.06, 1.64)
COPD5.42 (2.14, 13.36)1.47 (0.00, 401.57)1.57 (1.09, 2.21)1.13 (0.69, 1.78)
Asthma0.73 (0.21, 1.87)1.12 (0.74, 1.64)0.96 (0.58, 1.52)
Hypertension1.49 (1.03, 2.18)1.54 (0.22, 12.14)1.97 (1.67, 2.34)1.30 (1.04, 1.63)
HIV0.60 (0.21, 1.39)0.08 (0.00, 6.12)0.38 (0.02, 1.90)
In-hospital complicationsAKI16.62 (10.65, 26.20)660.55 (75.13, 18871.12)5.94 (4.68, 7.54)4.92 (3.67, 6.58)
DOI: https://doi.org/10.5334/gh.1314 | Journal eISSN: 2211-8179
Language: English
Submitted on: Oct 3, 2023
Accepted on: Feb 27, 2024
Published on: Apr 16, 2024
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2024 Lina Hahnle, Mathilda Mennen, Freedom Gumedze, Daniel Mutithu, Marguerite Adriaanse, Daniel Egan, Simthandile Mazondwa, Rochelle Walters, Lambert Tetteh Appiah, Francisca Inofomoh, Okechukwu Ogah, Olukemi Adekanmbi, Fastone Goma, Elijah Ogola, Kieran Mwazo, Ahmed Suliman, Kavita Singh, Lana Raspail, Dorairaj Prabhakaran, Pablo Perel, Karen Sliwa, Ntobeko A. B. Ntusi, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.