Background: Most COVID-19 studies conclude old age and coexisting illnesses as mortality determinants owing to different populations or methodologies, or omitting factors affecting outcomes. Methods: We analyzed COVID-19 patients’ data (N = 391) of Dubai Hospital between January 1, 2020 and June 30, 2020. Results: Only 19 patients (4.8%) were UAE nationals, while 372 (95.2%) were expatriates. Median age was 48 (interquartile range, 40–56) years; 22% were <40 years, and only 16.6% were female. Cough was the most common symptom (78.7%), fever was 77.4%, and gastrointestinal symptoms were least common (13.8%). Approximately 95% had elevated C-reactive protein (CRP) and D-dimers (79%), lymphocytopenia 47.3%, and thrombocytopenia 13.8%. Mortality was 30% for the total sample and 50% in ICU patients. ICU patients were older than non-ICU (age; 49.6 ± 10.9 vs. 46.7 ± 12.7 years, p = 0.04). Eighty-five percent of ICU patients required invasive mechanical ventilation, 78% vasopressors, 88% sedation, 84% muscle paralysis, while none require any of these in the medical group. Survivors had fewer patients with sedatives (p = 0.01). The median length of stay in the hospital was 19 days, ICU stays 14 days, and ventilator 11 days. The Mann-Whitney test showed that survivors spent more days in the ICU (median [IQR] 18 [6.5–29.5] vs. 11 [4–18], p value 0.003) and the hospital (32 [14.5–49.5] vs. 14 [7–21], p value 0.001) than nonsurvivors. Ferritin and D-dimers were higher in nonsurvivors, but CRP was lower in nonsurvivors (ferritin (ng/mL) median (IQR) 1,434 (661.5–2206.5) versus 1,362 (630–2,094), p value = 0.017, CRP (mg/L) 118.7 (53.4–184) versus 134.9 (66.5–203.2), p value 0.001 and D-dimer (µg/mL) 1.54 (0–3.13) versus 1.09 (0–2.51), p value = 0.001). Multiple logistic regression analysis determined age, fever on admission, use of oxygen, mechanical ventilation, and steroids as predictors of survival. Conclusions: COVID-19 patients were young males with pre-existing conditions. Ferritin, CRP, and D-dimers were higher in nonsurvivors. Treatment with chloroquine, antivirals, and anticoagulation was not different between survivors and nonsurvivors. Steroid use was a survival predictor.

COVID-19 is a novel beta coronavirus, first identified in Wuhan city, China, with a genetic makeup 96% identical to a bat coronavirus [1, 2]. Epidemiologic investigations and contact tracing of initial cases reveal that the COVID-19 outbreak started from a Wuhan fish market selling various animals such as rabbits, snakes, and bats [3]. COVID-19 is transmitted from human to human through contact, respiratory droplets, and fecal route [4]. Due to the rapid spread and sharp rise in mortality and morbidity, the World Health Organization declared COVID-19 as a pandemic in March 2020 [5]. As of August 2020, the World Health Organization reports that the UAE has 60,999 cases with 351 deaths [6]. Limited descriptive data are available for demographics, presenting characteristics and outcomes of the UAE population’s hospitalized COVID-19 patients.

Patients with COVID-19 usually present with fever, myalgias, nonproductive cough, and progressive shortness of breath. In moderate to severe cases, signs of organ dysfunction, such as acute respiratory distress syndrome (ARDS), acute kidney injury, pulmonary edema, myocarditis, septic shock, and deaths, can occur [7]. Most COVID-19 studies [8] conclude that old age and coexisting illnesses are mortality determinants. We do not agree with this conclusion as our clinical observation suggests otherwise due to predominantly young patients and the United Arab Emirates [9]. Moreover, we believe other studies might not have adjusted for confounders affecting outcomes. We aimed to answer this question by including many clinical variables affecting outcome in our statistical analysis.

We aimed to study the attributes of severe and fatal disease in the unique UAE population and analyze survival determinants in this cohort. Our outcomes of interest were mortality (survival) and length of stay in the ICU and hospital.

This study is a retrospective, single-center study of all patients’ electronic medical records (EMR) with proven COVID-19 pneumonia admitted to Dubai Hospital, United Arab Emirates. We performed detailed statistical subgroup analysis, which may help clinicians, researchers, and authorities optimize future management of COVID-19 pneumonia.

We created a list of clinical parameters for our study and extracted the following data from Dubai Hospital EMR system. We included all admitted patients with pneumonia who are PCR-positive for COVID-19 between January 1, 2020 and June 30, 2020 and excluded all patients <18 years. Demographics data included recent travel history, clinical signs, and symptoms on admission. We collected the following laboratory data: white blood cell counts, lymphocyte counts, platelets count, blood chemistries, renal indices, coagulation profile, liver function tests, inflammatory and disease markers including C-reactive protein (CRP), ferritin, procalcitonin, lactate dehydrogenase, creatinine kinase, and D-dimers. Daily levels of important markers affecting clinical decision-making were also recorded to collect a detailed daily profile of average D-dimers, CRP, ferritin, and procalcitonin.

Repeated nasopharyngeal or tracheal swab results have recorded the evidence of seroconversion as per protocol. We recorded the number of days to conversion and the number of swabs performed. Other culture studies include blood cultures. Treatment profiles were recorded to use chloroquine, antivirals, antibacterials, immunosuppressives, plasma therapy, and steroids. We also recorded the use of invasive mechanical ventilation, recruitment maneuvers, prone positioning, continuous renal replacement therapy (CRRT), and extracorporeal membrane oxygenation.

Definitions, clinical characteristics, and signs and symptoms were categorized as present or absent, for example, fever and cough. Laboratory characteristics were categorized in some cases (lymphopenia for count <1,500 cells per cubic milliliters) or continuous numerical variables (WBC, CRP, ferritin, D-dimer, and procalcitonin). Diagnosis of diseases, ARDS, pneumonia, acute kidney failure, acute heart failure, and rhabdomyolysis was extracted from EMR as charted by clinicians taking care of the patients. All laboratory tests included PCR confirmation of COVID-19 and were performed at the Dubai Hospital Laboratory.

Statistical Analyses

Continuous variables were expressed as medians with interquartile range when not normal distribution and mean ± standard deviation for normal distribution. Categorical variables were presented as counts and percentages. Patients who survived were compared to patients who did not survive. Categorical variables were compared by the χ2 test, while continuous outcome variables were evaluated by the Mann-Whitney test. Subgroup analyses were also performed: critical versus noncritical, mechanically ventilated versus not ventilated, and different treatment groups (anticoagulants, chloroquine, steroids, and anticoagulation). Multiple logistic regression analyses were performed to determine survival predictors. First, univariate analysis was conducted, and then those variables that were found to be significant were included in the final logistic regression analysis. All analyses were performed with SPSS version 26 (IBM Corp., Armonk, NY, USA).

Demographic and clinical characteristics of our study sample (N, 391) with COVID-19 pneumonia who were admitted to Dubai Hospital are shown in Tables 1-2. Only 19 patients (4.8%) were UAE nationals, while 372 patients (95.2%) were expatriates. The patients’ median age was 48 (interquartile range, 40–56) years; 22% of the patients were younger than 40 years. Only 16.6% were female. Eighty-five percent of the patients reported a fever history at home, and 77.4 percent had a fever on admission. The most common symptom was cough (78.7%), and the least common were gastrointestinal complaints (13.8%). Among the overall population, 40% had diabetes, 23% had hypertension, and only 6% had heart disease. Patients admitted to the ICU were older than those not admitted in the ICU (49.6 ± 10.9 vs. 46.7 ± 12.7 p = 0.04). Moreover, diabetes (43 vs. 39%) and hypertension (25 vs. 21%) were more common among patients admitted to the ICU than those not admitted to the ICU. Among patients admitted to the ICU, 85% required invasive mechanical ventilation, 78% required vasopressors, and 30% required CRRT on admission. In contrast, none needed in the group were admitted to the medical ward.

Table 1.

Sample characteristics (categorical variables)

Sample characteristics (categorical variables)
Sample characteristics (categorical variables)
Table 2.

Sample characteristics (continuous variables)

Sample characteristics (continuous variables)
Sample characteristics (continuous variables)

On admission, lymphocytopenia was present in 47.3% and thrombocytopenia in 13.8% of hospitalized patients. Most of the patients (>95%) had elevated levels of CRP and D-dimers (79%). Multiple swabs for COVID-19 PCR were performed (mean =5 swabs). Patients took a long time for seroconversion as documented by COVID-19 PCR swab for ICU patients compared to non-ICU patients (15 vs. 13 days p = 0.01).

Among the patients admitted to the ICU, extracorporeal membrane oxygenation was utilized in 13 patients, among whom 6 of them survived (46%); MV is required in 85%, vasopressors were required in 79%, sedation in 88%, and muscle paralysis in 84% patients. Survivors have less proportion on sedatives (p = 0.01). Paralytics use was not statistically different between survivors and nonsurvivors. CRRT was utilized in 30% of patients for renal impairment. Survivors were less likely to be treated with CRRT than nonsurvivors (18 vs. 42% p = 0.01). More than half of the patients had evidence of secondary bacterial infections during ICU stay. There was no significant difference in the prevalence of bacterial infections between survivors and nonsurvivors. However, bacteremia was more common in nonsurvivors than survivors (44.5 vs. 15%, p 0.022). Only 12% underwent tracheostomy; 80% of those who had tracheostomy survived, compared to 44% who did not have a tracheostomy. Comparison of treatment profiles of survivors versus nonsurvivors is presented in Tables 12.

Mortality was 30% for the total sample (N 391) and 50% for those admitted to the ICU (N 240). Among the mechanically ventilated (N = 200) patients, more than half (52%) died.

The median duration of hospitalization was 19 (IQR 9–33) days, ICU stays 14 (IQR 5–23) days, and ventilator days 11 (IQR 5–21) days. Analysis of outcome measures of LOSICU, LOSH, and ventilator days by the Mann-Whitney test showed that survivors spent more days in the ICU (median [IQR] 18 [6.5–29.5] vs. 11 [4–18], p value 0.003) and in the hospital (32 [14.5–49.5] vs. 14 [7–21], p value 0.001) than nonsurvivors. Ventilator days were not statistically different between the 2 groups (14 [5–23] vs. 11 [4–18], p value =0.18). Multiple logistic regression analysis determined age, inpatient fever, use of oxygen, mechanical ventilation, and steroids as predictors of mortality (Table 3). We constructed a Kaplan-Meier plot for the impact of steroids on LOS (Fig. 1).

Table 3.

Multiple logistic regression – predictors of mortality

Multiple logistic regression – predictors of mortality
Multiple logistic regression – predictors of mortality
Fig. 1.

Kaplan Meier plot for effect of steroids on length of stay.

Fig. 1.

Kaplan Meier plot for effect of steroids on length of stay.

Close modal

Our sample predominantly includes young, male expatriates of the UAE, admitted in Dubai Hospital with COVID-19 pneumonia and with pre-existing medical illnesses. Our median sample age was 48 years, which is different from the Italian population (>70 years) and American patients (67 years) [10, 11]. Obesity was a predictor of mortality in American patients [11], while our sample’s mean BMI was 27, and it was not a predictor of mortality. Percent of expatriates was not known for the American or European population, while our sample includes 95% expatriates.

Our study’s survival rate was 70%, which is like recent studies [12], and higher than that in earlier studies with insufficient data about follow-up [1, 13, 14]. Survival among those requiring invasive mechanical ventilation was 48%, which is less than that other studies [9, 15]. One reason could be that previous studies had incomplete follow-up data as they were published with the ongoing pandemic.

Among the mechanically ventilated patients, those treated with steroids had better survival than those not treated with steroids (52 vs. 36%, p = 0.04). Similar results were reported by the RECOVERY trial [16]. Among patients with nonsevere disease and those not requiring mechanical ventilation, treatment with steroids adversely affected survival (61 vs. 79%, p = 0.01). A recent trial from Brazil did not detect any survival benefit from steroids [15]. Treatment with steroids has been documented to be a predictor of mortality in mild disease [16].

Steroid dosages and duration was variable – hydrocortisone from 200 to 400 mg/day or methylprednisolone 40–80 mg/day or dexamethasone 12–32 mg/day. Duration ranges from single dose on admission to more than 2 weeks course. The choice of steroid, dose, and duration was at the discretion of the treating physician.

Treatment with chloroquine was similar between survivors and nonsurvivors (82.7 vs. 83.1%, p = 0.6), which are like results reported by Cavalcanti et al. [17]. However, survivors were less frequently treated with lopinavir-ritonavir (20.5 vs. 42.9%, p = 0.01). Among mechanically ventilated patients, survival with lopinavir-ritonavir was also worse (40 vs. 55%, p = 0.04). A recent trial also showed no survival advantage with lopinavir-ritonavir treatment [18]. Prior studies [19] found multiple factors predicting mortality, such as age and comorbid conditions, which we did not predict; most likely, our population and methodology were different. We also adjusted for numerous confounding factors known to determine mortality. Arbitrary exclusion of many such confounders in our hypothetical model also provided us similar predictors of mortality; therefore, the omission of confounding factors may have played a role in other studies.

Patients requiring vasopressors and CRRT reflect the severity of organ dysfunction; therefore, finding these factors as determinants of survival for COVID-19 pneumonia is no surprise. Similar results were documented by other studies [20]. CRP, ferritin, and D-dimers were significantly lower in patients who survived, and they were not predictors of survival, as suggested by other studies [20]. This difference in results is most likely due to differences in methodology, statistical modeling, and different inclusion of confounding factors.

Our study has the following weaknesses. This study is a retrospective, single-center, community hospital study; therefore, results may not apply to other populations. To our knowledge, no research has documented the clinical profile of patients who had died from COVID-19 pneumonia in the Middle East with the inclusion of all relevant clinical predictors as we did. Other studies found many predictors of survival, including steroids. Well-designed, prospective, multicenter trials with large sample size, preferably with the inclusion of all critical clinical factors affecting survival, are urgently needed to determine a better management strategy.

Patients affected by COVID-19 were predominantly young, expatriate males with pre-existing conditions of diabetes and hypertension. Outcomes with chloroquine, antivirals, and anticoagulation were not different between survivors and nonsurvivors. The majority admitted suffered severe ARDS requiring invasive mechanical ventilation and renal replacement therapy. Markers of disease activity, ferritin, CRP, and D-dimers were higher in patients who died. Multiple logistic regression analyses determined steroid treatment to be a predictor of mortality.

Ethical approval was provided by DSREC-07/2020_10/approved on July 13, 2020 (according to Local Ethical Committee guidelines, for retrospective medical records chart review observational studies; no consent from patients are required).

The authors have no conflicts of interest to declare.

The authors did not receive any funding.

R.N.: conceived the research idea, proposal writing, data collection, data analysis, and manuscript writing. I.A. and A.E.: conceived the idea, proposal writing, and review of final manuscript. C.D. and N.A.: idea conception and data collection. M.K.: data collection. M.A., M.J., A.N., S.T., S.S., M.H., M.K., I.B., A.E., L.S., S.K., and R.A.: idea conception and data collection.

1.
Guan
W-j
,
Ni
Z-y
,
Hu
Y
,
Liang
W-h
,
Ou
C-q
,
He
J-x
,
Clinical characteristics of coronavirus disease 2019 in China
.
N Engl J Med
.
2020
;
382
(
18
):
1708
20
. .
2.
Mehta
P
,
McAuley
DF
,
Brown
M
,
Sanchez
E
,
Tattersall
RS
,
Manson
JJ
;
HLH Across Specialty Collaboration
.
COVID-19: consider cytokine storm syndromes and immunosuppression
.
Lancet
.
2020
;
395
(
10229
):
1033
4
.
3.
Bai
Y
,
Yao
L
,
Wei
T
,
Tian
F
,
Jin
DY
,
Chen
L
,
Presumed asymptomatic carrier transmission of COVID-19
.
JAMA
.
2020
;
323
(
14
):
1406
7
. .14
4.
Wang
D
,
Hu
B
,
Hu
C
,
Zhu
F
,
Liu
X
,
Zhang
J
,
Clinical characteristics of 138 hospitalized patients with 2019 novel coronavirus-infected pneumonia in Wuhan, China
.
JAMA
.
2020
;
323
(
11
):
1061
9
. .
5.
Wang
C
,
Horby
PW
,
Hayden
FG
,
Gao
GF
.
A novel coronavirus outbreak of global health concern
.
Lancet
.
2020
;
395
(
10223
):
470
3
. .
6.
World Health Organization. Coronavirus disease (COVID-2019) situation reports.
7.
Huang
C
,
Wang
Y
,
Li
X
,
Ren
L
,
Zhao
J
,
Hu
Y
,
Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China
.
Lancet
.
2020
;
395
(
10223
):
497
506
.
8.
Bonanad
C
,
García-Blas
S
,
Tarazona-Santabalbina
F
,
Sanchis
J
,
Bertomeu-González
V
,
Fácila
L
,
The effect of age on mortality in patients with COVID-19: a meta-analysis with 611,583 subjects
.
Hypertension
.
962
(
23
):
1366
.
9.
Richardson
S
,
Hirsch
JS
,
Narasimhan
M
,
Crawford
JM
,
McGinn
T
,
Davidson
KW
,
Presenting characteristics, comorbidities, and outcomes among 5700 patients hospitalized with COVID-19 in the New York City area
.
JAMA
.
2020
.
10.
Boccia
S
,
Ricciardi
W
,
Ioannidis
JPA
.
What other countries can learn from Italy during the COVID-19 pandemic
.
JAMA Intern Med
.
2020
;
180
(
7
):
927
8
.
11.
Palaiodimos
L
,
Kokkinidis
DG
,
Li
W
,
Karamanis
D
,
Ognibene
J
,
Arora
S
,
Severe obesity, increasing age and male sex are independently associated with worse in-hospital outcomes, and higher in-hospital mortality, in a cohort of patients with COVID-19 in the Bronx, New York
.
Metabolism
.
2020
;
108
:
154262
. .
12.
Weiss
P
,
Murdoch
DR
.
Clinical course and mortality risk of severe COVID-19
.
Lancet
.
2020
;
395
(
10229
):
1014
5
. .
13.
Chen
N
,
Zhou
M
,
Dong
X
,
Qu
J
,
Gong
F
,
Han
Y
,
Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study
.
Lancet
.
2020
;
395
:
507
13
. .
14.
Huang
C
,
Wang
Y
,
Li
X
,
Ren
L
,
Zhao
J
,
Hu
Y
,
Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China
.
Lancet
.
2020
;
395
:
497
506
.
15.
Jeronimo
CMP
,
Farias
MEL
,
Val
FFA
,
Sampaio
VS
,
Alexandre
MAA
,
Melo
GC
,
Methylprednisolone as adjunctive therapy for patients hospitalized with COVID-19 (MetCOVID): a randomised, double-blind, phase IIb, placebo-controlled trial
.
Clin Infect Dis
.
2020
.
16.
RECOVERY Collaborative Group
.
Dexamethasone in hospitalized patients with COVID-19: preliminary report
.
N Engl J Med
.
2020
.
17.
Cavalcanti
AB
,
Zampieri
FG
,
Rosa
RG
,
Azevedo
LCP
,
Veiga
VC
,
Avezum
A
,
Hydroxychloroquine with or without Azithromycin in mild-to-moderate COVID-19
.
N Engl J Med
.
2020
.
383
:
2041
52
.
18.
Cao
B
,
Wang
Y
,
Wen
D
,
Wen
L
,
Wang
J
,
Fan
G
,
A trial of lopinavir–ritonavir in adults hospitalized with severe COVID-19
.
N Engl J Med
.
2020
.
382
:
1787
99
.
19.
Petrilli
CM
,
Jones
SA
,
Yang
J
,
Rajagopalan
H
,
O’Donnell
L
,
Chernyak
Y
,
Factors associated with hospitalization and critical illness among 4,103 patients with COVID-19 disease in New York City
.
MedRxiv
.
2020
.
20.
Cummings
MJ
,
Baldwin
MR
,
Abrams
D
,
Jacobson
SD
,
Meyer
BJ
,
Balough
EM
,
Epidemiology, clinical course, and outcomes of critically ill adults with COVID-19 in New York City: a prospective cohort study
.
Lancet
.
2020
.
395
(
10239
):
1763
70
.
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