Literature DB >> 35788085

COVID-19 disease severity in persons infected with the Omicron variant compared with the Delta variant in Qatar.

Adeel A Butt1,2,3, Soha R Dargham3, Patrick Tang4, Hiam Chemaitelly3, Mohammad R Hasan2,3, Peter V Coyle1, Anvar H Kaleeckal1, Ali Nizar Latif1, Srusvin Loka1, Riyazuddin M Shaik1, Ahmed Zaqout1, Muna A Almaslamani1, Abdullatif Al Khal1, Roberto Bertollini5, Abdul-Badi Abou-Samra1, Laith J Abu-Raddad3.   

Abstract

Background: Understanding the disease severity associated with the Omicron variant of the SARS-CoV-2 virus is important in determining appropriate management strategies at the individual and population levels. We determined the severity of SARS-CoV-2 infection in persons infected with the Omicron vs the Delta variant.
Methods: We identified individuals with SARS-CoV-2 infection with Delta and propensity-score matched controls with Omicron variant infection from the National COVID-19 Database in Qatar. We excluded temporary visitors to Qatar, those with a prior documented infection, those ≤18 years old, and those with <14 days of follow up after the index test positive date. We determined the rates of admission to the hospital, admission to intensive care unit, mechanical ventilation, or death among those infected with the Delta or Omicron variants.
Results: Among 9763 cases infected with the Delta variant and 11 310 cases infected with the Omicron variant, we identified 3926 propensity-score matched pairs. Among 3926 Delta infected, 3259 (83.0%) had mild, 633 (16.1%) had moderate and 34 (0.9%) had severe/critical disease. Among 3926 Omicron infected, 3866 (98.5%) had mild, 59 (1.5%) had moderate, and only 1 had severe/critical disease (overall P < 0.001). Factors associated with less moderate or severe/critical disease included infection with Omicron variant (aOR = 0.06; confidence interval (CI) = 0.05-0.09) and vaccination including a booster (aOR = 0.30; 95% CI = 0.09-0.99). Conclusions: Omicron variant infection is associated with significantly lower severity of disease compared with the Delta variant. Vaccination continues to offer strong protection against severe/critical disease.
Copyright © 2022 by the Journal of Global Health. All rights reserved.

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Mesh:

Year:  2022        PMID: 35788085      PMCID: PMC9253930          DOI: 10.7189/jogh.12.05032

Source DB:  PubMed          Journal:  J Glob Health        ISSN: 2047-2978            Impact factor:   7.664


The SARS-CoV-2 pandemic has rapidly evolved over time with new viral strains appearing at regular and frequent intervals. The new strains which are associated with significant changes in the behavior of the virus, and/or its effect on the host have been termed “variants of concern” (VOC) and labeled with the Greek alphabets sequentially by the World Health Organization. The Omicron variant is the most recent VOC, which was first identified in South Africa in November 2021, but rapidly spread across the globe and is now the predominant circulating variant in most countries [1-3]. Most Omicron variant infections occur in previously vaccinated persons, and in up to 20% of the cases there is no apparent link to known cases suggesting widespread community transmission [2]. Neutralization studies indicate that the Omicron variant may be more likely to escape immune protection from previous infection compared with the earlier VOCs, which may explain its increased infectiousness [4]. However, early clinical reports from South Africa and North America suggest that the Omicron variant infection may be associated with a lower risk of hospitalization and less severe disease compared with the Delta variant [5-7]. Current vaccines seem effective against severe and/or critical disease due to the Omicron variant, though this effectiveness is lower than the observed effectiveness against earlier variants, and among those who have not received a booster dose [8-10]. There are scant data comparing COVID-19 disease severity in other geographically and ethnically diverse populations infected with the Omicron variant compared with those infected with the Delta variant. We sought to compare the rate of hospitalization, mechanical ventilation, intensive care unit (ICU) admission, and case-fatality among those with Omicron variant infection compared with matched controls with Delta variant infection.

METHODS

Study setting

The study was conducted in Qatar, which has one of the highest rates of testing and vaccination of the eligible population for SARS-CoV-2 in the world [11]. Since the identification of the first patient with SARS-CoV-2 on February 27, 2020, Qatar has experienced five distinct waves, now attributed to the wild-type, Alpha, Beta, Delta, and Omicron variants [12-15]. The first case of Omicron variant infection in Qatar was identified on November 24, 2021, and within 4 weeks, it became the predominant strain. Starting very early in the pandemic, Qatar also instituted an aggressive testing policy, which included testing of all persons with compatible symptoms, contacts of confirmed cases, returning travelers, and persons in front-line high-risk professions (eg, health care workers, school staff, salon/spa workers). Multiple general screening campaigns were also carried out, targeting persons in high incidence areas and large convenience samples. RT-qPCR was used to test for SARS-CoV-2 on nasopharyngeal swabs at a single national laboratory at Hamad Medical Corporation, which is accredited by the College of American Pathologists and the Joint Commission International. Surveillance for SARS-CoV-2 variants in Qatar was based on viral genome sequencing and multiplex, real-time reverse-transcription PCR (RT-qPCR) variant genotyping [16] of random positive clinical samples, [14,15,17-19] and complemented by deep sequencing of wastewater samples [19] for the earlier VOCs. Due to the rapid, exponential rise of Omicron variant infections, large scale genome sequencing was not possible in the Omicron pre-dominant era, and positive cases from December 23, 2021 onwards were considered Omicron based on representative sampling described below.

Study participants

Using the national COVID-19 database in Qatar, which includes all persons tested for SARS-CoV-2 with a RT-PCR test since the beginning of the pandemic, [17,18,20] we identified those with Delta variant infection diagnosed between 23 March and 6 November 2021 and those with Omicron variant infection diagnosed on or after 23 December 2021. We excluded temporary visitors to Qatar, those with a prior documented infection, those under the age of 18, and those with less than 14 days of follow up after the index test positive date. After these exclusions, we propensity-score matched each Delta infection case with an Omicron infection case. The propensity score was estimated based on age, gender, nationality, vaccination status at time of infection, and presence of co-morbidities. We performed 1:1 matching, using the nearest neighbor matching with a caliper of 0.2SD.

Definitions

The primary outcome of interest was severity of COVID-19 disease in persons infected with the Delta variant compared with those infected with the Omicron variant. Disease severity was categorized into mild (RT-PCR confirmed infection with or without presence of symptoms but not requiring hospitalization), moderate (symptomatic disease requiring acute care hospitalization but no intensive care unit admission or mechanical ventilation), and severe/critical (admission to an intensive care unit, mechanical ventilation, or death). All outcomes within 14 days of the index positive test were included. All patients with COVID-19 in Qatar requiring hospitalization are admitted to designated hospitals within a single health care system (Hamad Medical Corporation), thereby ensuring complete capture of all hospital admissions and subsequent inpatient care. Comorbidities were identified based on associated diagnostic codes in the electronic medical records, as used in our previous publications [21-23]. SARS-CoV-2 infection was confirmed from the national COVID-19 database, which includes every test performed in Qatar since the beginning of the pandemic [17,18,20]. Vaccination status, type of vaccine, and date(s) of administration were also confirmed from the national COVID-19 database, which contains a record of every SARS-CoV-2 vaccine administered in Qatar [17,18].

Laboratory Methods and Classification by Variant Type

Nasopharyngeal and/or oropharyngeal swabs were collected for PCR testing and placed in Universal Transport Medium (UTM). Aliquots of UTM were extracted on a QIAsymphony platform (QIAGEN, USA) and tested with real-time reverse-transcription PCR (RT-qPCR) using TaqPath COVID-19 Combo Kits (Thermo Fisher Scientific, USA) on an ABI 7500 FAST (Thermo Fisher, USA); tested directly on the Cepheid GeneXpert system using the Xpert Xpress SARS-CoV-2 (Cepheid, USA); or loaded directly into a Roche cobas® 6800 system and assayed with a cobas® SARS-CoV-2 Test (Roche, Switzerland). The first assay targets the viral S, N, and ORF1ab gene regions. The second targets the viral N and E-gene regions, and the third targets the ORF1ab and E-gene regions. All PCR testing was conducted at the Hamad Medical Corporation Central Laboratory following standardized protocols. Surveillance for SARS-CoV-2 variants in Qatar is based on viral genome sequencing and multiplex, real-time reverse-transcription PCR (RT-qPCR) variant screening15 of random positive clinical samples, [13,14,16-18] and complemented by deep sequencing of wastewater samples [18]. The ascertainment of the Delta and Omicron variants in this study was based on the results of the weekly viral genome sequencing and RT-qPCR genotyping of the positive clinical samples [14,18]. The accuracy of the RT-qPCR genotyping was verified against either Sanger sequencing of the receptor-binding domain (RBD) of SARS-CoV-2 surface glycoprotein (S) gene, or by viral whole-genome sequencing on a Nanopore GridION sequencing device. From 108 random positive samples, PCR genotyping was able to assign a genotype in 91 samples: 82 of 82 Delta (B.1.617.2), 9 of 9 Omicron (BA.1/BA.2) were in agreement with sequencing. Of the remaining 17 samples: 9 failed PCR amplification and sequencing, 8 could not be assigned a genotype by PCR (4 of 8 were B.1.617.2 by sequencing, and the remaining 4 failed sequencing). All variant genotyping was conducted at the Sidra Medicine Laboratory following standardized protocols.

Statistical analyses

Based on an a priori assumption that a 25% reduction in rate of hospitalization in those infected with the Omicron variant constitutes a clinically significant difference, we calculated that a sample size of 4008 persons (2004 in the Delta group and 2004 in the Omicron group) would be needed to detect this difference at an alfa level of .05 with a power of 80% if the rate of hospitalization was 10% among those infected with the Delta variant. We calculated and compared the proportions of persons with mild, moderate, or severe/critical disease among those infected with the Delta and the Omicron variants overall and stratified by vaccination status. 95% confidence intervals (CIs) were calculated to express the spread. Multivariable logistic regression was used to calculate the adjusted odds ratios (aORs) and 95% CIs for factors associated with these outcomes. Where P values were used for comparison, a P value <0.05 was considered statistically significant. All analyses were done using IBM-SPSS version 27.0 (IBM, Armonk, NY, USA).

Ethical considerations

The study was approved by the Institutional Review Boards at Hamad Medical Corporation, Weill Cornell Medicine-Qatar, and Qatar University (all in Doha, Qatar). A waiver of informed consent was granted due to the retrospective nature of data retrieval.

RESULTS

Among 9763 cases infected with the Delta variant and 11 310 cases infected with the Omicron variant, we created our analyzable data set consisting of 3926 persons infected with the Delta variant and 3926 propensity-score matched persons infected with the Omicron variant (). For the Delta group, the median age (IQR) was 35.0 (95% CI = 29.0-43.0), 56.2% were male, 29.6% were Qatari nationals, 85.5% had no comorbidities, 66.4% had received at least 2 doses of an mRNA vaccine, and only 0.1% had received a third booster dose >14 days prior to infection. For the Omicron group, the median age (IQR) was 34.0 (26.0-44.0), 53.9% were male, 49.2% were Qatari nationals, 80.4% had no comorbidities, 65.9% had received at least 2 doses of an mRNA vaccine, and 6.4% had also received a third booster dose >14 days prior to infection (). Baseline characteristics of the pre-matched study population (5169 with Delta and 7060 with Omicron) are also presented in . Among those with Delta variant infection, 1240 (31.6%) were not vaccinated, 79 (2.0%) had received only 1 dose, 504 (12.8%) had received two doses with the second dose <3 months prior to infection, 2099 (53.5%) had received two doses with the second dose >3 months prior to infection, and 4 (0.1%) had also received a third dose >14 days prior to infection. Among those with Omicron variant infection, 1317 (33.5%) were not vaccinated, 23 (0.6%) had received only 1 dose, 36 (0.9%) had received two doses with the second dose <3 months prior to infection, 2300 (58.6%) had received two doses with the second dose >3 months prior to infection, and 250 (6.4%) had also received a third dose >14 days prior to infection (Table S1 in the ). A comparison of baseline characteristics of the full cohort of persons infected with the Delta and Omicron variants before exclusions for prior infection or age <18 years is presented in Table S2 in the .
Figure 1

Study flow. *Propensity-score matching done on age, sex, nationality, comorbidities, vaccination status; nearest neighbor matching with caliper of 0.2SD.

Table 1

Baseline characteristics of propensity score matched persons infected with the Delta and Omicron variants

Before propensity score matching
After propensity score matching

Delta variant, N = 5169 (N, %)
Omicron variant, N = 7060 (N, 5)
SMD*
Delta variant, N = 3926 (N, %)
Omicron variant, N = 3926 (N, 5)
SMD*
Age, median (IQR)
35.0 (29.0-42.0)
34.0 (28.0-42.0)
0.041
35.0 (29.0-43.0)
34.0 (26.0-44.0)
0.044
Age (years)
≤35
1458 (28.2)
2120 (30)
0.039
2034 (51.8)
2122 (54.0)
0.132
36-45
2030 (39.3)
2756 (39)
1176 (30.0)
968 (24.7)
46-55
1130 (21.9)
1468 (20.8)
496 (12.6)
552 (14.1)
56-65
414 (8.0)
551 (7.8)
190 (4.8)
237 (6.0)
66+
137 (2.7)
165 (2.3)
30 (0.8)
47 (1.2)
Sex
Female
2139 (41.4)
3047 (43.2)
0.036
1720 (43.8)
1811 (46.1)
0.047
Male
3030 (58.6)
4013 (56.8)
2206 (56.2)
2115 (53.9)
Nationality
Qatari
1340 (25.9)
2039 (28.9)
0.074
1164 (29.6)
1931 (49.2)
0.413
Craft labor nationalities
2103 (40.7)
2659 (37.7)
1386 (35.3)
1079 (27.5)
Other‡
1726 (33.4)
2362 (33.5)
1376 (35.0)
916 (23.3)
Comorbidities
Hypertension
385 (7.4)
516 (7.3)
0.005
302 (7.7)
358 (9.1)
0.051
Chronic lung disease
218 (4.2)
364 (5.2)
0.044
170 (4.3)
296 (7.5)
0.136
Cardiovascular disease
324 (6.3)
427 (6.0)
0.009
259 (6.6)
319 (8.1)
0.059
Diabetes
254 (4.9)
379 (5.4)
0.021
205 (5.2)
293 (7.5)
0.092
Cancer
24 (0.5)
36 (0.5)
0.007
17 (0.4)
26 (0.7)
0.031
Chronic kidney disease
6 (0.1)
15 (0.2)
0.023
5 (0.1)
8 (0.2)
0.019
Chronic liver disease
6 (0.1)
10 (0.1)
0.007
4 (0.1)
5 (0.1)
0.008
Stroke
11 (0.2)
11 (0.2)
0.013
8 (0.2)
8 (0.2)
0.000
Autoimmune disease
14 (0.3)
22 (0.3)
0.008
11 (0.3)
15 (0.4)
0.018
Comorbidities count
None
4447 (86.0)
6005 (85.1)
0.028
3358 (85.5)
3155 (80.4)
0.139
1 comorbidity
389 (7.5)
577 (8.2)
300 (7.6)
420 (10.7)
2+ comorbidities
333 (6.4)
478 (6.8)
268 (6.8)
351 (8.9)
Vaccination status at time of infection
Not Vaccinated or only 1 dose
2562 (49.6)
1342 (19.0)
0.6801319 (33.6)
1340 (34.1)
0.011
At least 2 doses2607 (50.4)5718 (81.0)2607 (66.4)2586 (65.9)

IQR – interquartile range; SMD – standardized mean difference

*Standardized mean difference of <0.1 suggest adequate matching.

†Includes India, Pakistan, Bangladesh, Nepal, Sri Lanka, and Sudan due to large proportions of these nationals being craft and manual workers.

‡Other nationalities include 44 nationalities.

Study flow. *Propensity-score matching done on age, sex, nationality, comorbidities, vaccination status; nearest neighbor matching with caliper of 0.2SD. Baseline characteristics of propensity score matched persons infected with the Delta and Omicron variants IQR – interquartile range; SMD – standardized mean difference *Standardized mean difference of <0.1 suggest adequate matching. †Includes India, Pakistan, Bangladesh, Nepal, Sri Lanka, and Sudan due to large proportions of these nationals being craft and manual workers. ‡Other nationalities include 44 nationalities. Among those infected with the Delta variant, 3259 (83.0%) had mild/asymptomatic disease while 633 (16.1%) fulfilled the criteria for moderate infection. Among those infected with the Omicron variant, 3866 (98.5%) had mild/asymptomatic disease, while 59 (1.5%) fulfilled the criteria of moderate infection within 14 days of the positive index SARS-CoV-2 test. There were 34 cases of severe/critical disease among those infected with the Delta variant and only 1 case among those infected with the Omicron variant (overall P < 0.001; ). Of the moderate or severe/critical infections in the Delta variant group, none (0%) occurred in those who had received a booster dose at 14 days prior. Of the 59 moderate or severe/critical infections in the Omicron variant group, only 3 (1.2%) were among those who had received a booster dose of the mRNA vaccine at least 14 days prior to the infection. All three had moderate infection ().
Table 2

Summary of disease outcomes (%, 95 CI) of the two SARS-CoV-2 variant groups

Delta variant, N = 3926Omicron variant, N = 3926P-value
Outcome-disease status*
Mild
3259 (83.0)
3866 (98.5)
<0.001
Moderate
633 (16.1)
59 (1.5)
Severe/critical
34 (0.9)
1 (0.0)
Moderate or severe/critical outcome667 (17.0)60 (1.5)<0.001

CI – confidence interval

*Mild: infection confirmed but no hospitalization; Moderate: hospitalized but no ICU admission or mechanical ventilation; Severe/critical: Mechanical ventilation or ICU admission or death.

Table 3

Summary of disease outcomes (%, 95% CI) of the two SARS-CoV-2 variant groups, stratified by vaccination status.

Infection among those with no booster (post 14 d of 2nd dose up to14 d post 3rd dose)
Infection among those with booster (Infection after 14 d of 3rd dose)

Delta, N = 3922
Omicron, N = 3676
P-value
Delta, N = 4
Omicron, N = 253
P-value
Outcome-disease status*
Mild
3255 (83.0)
3619 (98.4)
<0.001
4 (100.0)
247 (98.8)
>0.999
Moderate
633 (16.1)
56 (1.5)
0 (0.0)
3 (1.2)
Severe-critical
34 (0.9)
1 (0.0)
0 (0.0)
0 (0.0)
Moderate or severe/critical667 (17.0)57 (1.5)<0.0010 (0.0)3 (1.2)>0.999

CI – confidence interval

*Mild: infection confirmed but no hospitalization; Moderate: hospitalized but no ICU admission or mechanical ventilation; Severe/critical: Mechanical ventilation OR ICU admission OR death.

†P-value estimated using the χ2 test.

‡P-value estimated using the Fisher Exact test.

Summary of disease outcomes (%, 95 CI) of the two SARS-CoV-2 variant groups CI – confidence interval *Mild: infection confirmed but no hospitalization; Moderate: hospitalized but no ICU admission or mechanical ventilation; Severe/critical: Mechanical ventilation or ICU admission or death. Summary of disease outcomes (%, 95% CI) of the two SARS-CoV-2 variant groups, stratified by vaccination status. CI – confidence interval *Mild: infection confirmed but no hospitalization; Moderate: hospitalized but no ICU admission or mechanical ventilation; Severe/critical: Mechanical ventilation OR ICU admission OR death. †P-value estimated using the χ2 test. ‡P-value estimated using the Fisher Exact test. In the multivariable logistic regression model, the adjusted odds ratio (aOR) for the Omicron variant infection to develop an adverse outcome (either moderate or severe/critical disease) was 0.06 (95% CI = 0.05-0.09) The odds of an adverse outcome were higher with increasing age and increasing number of comorbidities. Male sex was associated with lower odds of an adverse outcome (aOR = 0.73, 95% CI = 0.61-0.87). () The breakdown by moderate and severe/critical disease is also provided in . The factors associated with developing moderate or severe/critical disease stratified by the variant causing infection were generally similar when results were stratified by the variant causing infection, through some of the associations were not statistically significant due to smaller numbers. (Table S3 in the ) A numerical breakdown of disease severity by vaccination status, stratified by the variant causing infection is also provided in Table S4 in the .
Table 4

Multivariable logistic regression with outcome disease status as dependent variable

Either moderate or severe/critical disease*
Moderate disease*
Severe/critical disease*

aOR (95% CI)
P-value
aOR (95% CI)
P-value
aOR (95% CI)
P-value
Omicron variant (comparator: Delta variant)
0.065 (0.049-0.086)
<0.001
0.067 (0.051-0.090)
<0.001
0.019 (0.003-0.143)
<0.001
Vaccination status at time of infection (comparator: Not vaccinated at time of infection)
Vaccinated with only 1 dose at time of infection
1.26 (0..70-2.29)
0.442
1.26 (0.69-2.234)
0.454
1.11 (0.14-8.93)
0.923
Vaccinated with 2nd dose <3 months prior to infection
0.66 (0.48-0.90)
0.009
0.69 (00.50-0.95)
0.023
0.18 (0.04-0.86)
0.031
Vaccinated with 2nd dose >3 months prior to infection
0.86 (0.70-1.06)
0.164
0.91 (0.74-1.13)
0.390
0.24 (0.10-0.56)
0.001
Vaccinated with 3rd dose >14 days prior to infection
0.30 (0.09-0.99)
0.049
0.33 (0.10-1.08)
0.067
N/A
N/A
Age (comparator: ≤35 years)
36-45
1.35 (1.09-1.67)
0.0.005
1.31 (1.05-1.62)
0.015
2.88 (1.09-7.65)
0.033
46-55
4.70 (3.73-5.91)
<0.001
4.63 (3.67-5.85)
<0.001
7.32 (2.51-31.39)
<0.001
56-65
3.10 (2.17-4.41)
<0.001
2.90 (2.02-4.17)
<0.001
10.08 (2.74-37.11)
<0.001
+66
7.65 (3.93-14.89)
<0.001
7.16 (3.62-14.16)
<0.001
48.65 (6.72-352.17)
<0.001
Male sex (comparator: female)
0.73 (0.61-0.87)
<0.001
0.71 (0.59-0.85)
<0.001
1.55 (0.71-3.41)
0.272
Nationality (comparator: Qatari)
Craft and manual worker nationalities
0.95 (0.75-1.20)
0.673
0.94 (0.74-1.19)
0.598
1.39 (0.50-3.83)
0.527
Other nationalities
1.37 (1.11-1.69)
0.004
1.37 (1.11-1.70)
0.004
1.56 (0.58-4.23)
0.382
Comorbidities count (comparator: zero)
1-2
1.56 (1.18-2.07)
0.002
1.48 (1.10-1.97)
0.009
4.90 (1.75-13.74)
0.003
3 or more2.06 (1.55-2.74)<0.0012.01 (1.50-2.69)<0.0014.37 (1.46-13.08)0.008

CI – confidence interval, aOR – adjusted odds rato

*Moderate: hospitalized but no ICU admission or mechanical ventilation; Severe/critical: Mechanical ventilation or ICU admission or death.

Multivariable logistic regression with outcome disease status as dependent variable CI – confidence interval, aOR – adjusted odds rato *Moderate: hospitalized but no ICU admission or mechanical ventilation; Severe/critical: Mechanical ventilation or ICU admission or death.

DISCUSSION

Early reports suggest that persons infected with the SARS-CoV-2 Omicron variant may be at a lower risk for adverse outcomes compared with the earlier VOCs. We provide results from a national study describing clinical outcomes in persons infected with the Omicron variant compared with propensity score matched controls infected with the Delta variant. We found that persons infected with the Omicron variant were significantly less likely to experience moderate or severe/critical disease in the 14-day period after diagnosis compared with those infected with the Delta variant. Persons infected with the Omicron variant were nearly 11-fold less likely to require hospital admission compared with those infected with the Delta variant. There was almost no severe/critical disease in persons with Omicron variant infection (only 1 person in this group). We recently reported the severity of infection among patients infected with the Delta variant compared with those infected with the Beta variant. In that study, those with Delta infection were more likely to be hospitalized compared with propensity-score matched persons infected with the Beta variant (27.3% vs 20.0%, P = 0.01).[24] The reason for lesser severity with Omicron variant infection is not yet known. It is possible that the large number of novel mutations may have attenuated the virulence of this variant. In vitro studies indeed suggest that Omicron variant has lower efficiency of replication and fusion compared with the Delta variant, which may partly explain these findings [25]. In addition, the high background vaccination rates among the population may have ameliorated its severity. The vast majority of moderate or severe/critical disease events occurred in persons who had not received a booster dose of the vaccine. While this was true for both Omicron and Delta variant infections, the difference was more pronounced in the Delta variant infections. Among those who had received a booster dose, there were only 3 cases of moderate disease (all among Omicron group), and no cases of severe/critical disease with either variant. This suggests that a booster dose is highly protective against moderate and severe/critical disease, though the effect is somewhat attenuated in those with Omicron variant infection. Increasing age and presence of comorbidities were strongly associated with moderate and severe-critical disease even after adjusting for the variant causing the infection and the vaccination status. These are well-known risk factors for poor outcomes in patients with SARS-CoV-2 infection. These factors were associated with a higher risk of poor outcomes in our study population. It is important to note that while infection with the Omicron variant may be associated with less severe disease, it remains a potent threat due to its enhanced transmission potential and the large number of resultant infections. Due to this large burden of infections, even lower rates of hospitalizations and the need for intensive care may overwhelm the already stretched health care capacity [26]. In the US, the Omicron variant infections have already caused higher increases in daily death counts compared with the previous variants [27]. Strengths of our study include a large national population, extensive testing, a single testing site, and uniform data collection methods. Since all patients requiring inpatient care are admitted to a single health care system by the same group of physicians, there is a high degree of uniformity in admission criteria and subsequent care, including decisions to transfer to an intensive care setting, and initiation of mechanical ventilation. To mitigate potential bias from an imbalance in baseline risk factors, we conducted a robust propensity score matching of the two study groups. Certain limitations also need to be noted. This was a retrospective study. Variant identification was based on RT-qPCR variant genotyping and only a subset were subjected to whole genome sequencing. However, we have demonstrated a high level of correlation between genotyping and viral sequencing. Since the two population groups were from different time periods, it is possible to introduce a bias due to changing exposure and vaccination status at different time points in the pandemic. However, we addressed this by excluding those with a documented history of infection and stratifying the results by vaccination status. Since we used the Qatar National COVID-19 database, which has a record of every PCR test and every vaccine administered in Qatar, we are very confident that we captured all prior documented infections and vaccination.

CONCLUSIONS

In conclusion, infection with the Omicron variant is associated with significantly lower severity of infection as measured by hospitalization rates and need for intensive care unit care or mechanical ventilation. Vaccination continues to offer strong protection against severe/critical disease.
  21 in total

1.  mRNA-1273 COVID-19 vaccine effectiveness against the B.1.1.7 and B.1.351 variants and severe COVID-19 disease in Qatar.

Authors:  Hiam Chemaitelly; Hadi M Yassine; Fatiha M Benslimane; Hebah A Al Khatib; Patrick Tang; Mohammad R Hasan; Joel A Malek; Peter Coyle; Houssein H Ayoub; Zaina Al Kanaani; Einas Al Kuwari; Andrew Jeremijenko; Anvar Hassan Kaleeckal; Ali Nizar Latif; Riyazuddin Mohammad Shaik; Hanan F Abdul Rahim; Gheyath K Nasrallah; Mohamed Ghaith Al Kuwari; Hamad Eid Al Romaihi; Mohamed H Al-Thani; Abdullatif Al Khal; Adeel A Butt; Roberto Bertollini; Laith J Abu-Raddad
Journal:  Nat Med       Date:  2021-07-09       Impact factor: 53.440

2.  Effectiveness of the BNT162b2 Covid-19 Vaccine against the B.1.1.7 and B.1.351 Variants.

Authors:  Laith J Abu-Raddad; Hiam Chemaitelly; Adeel A Butt
Journal:  N Engl J Med       Date:  2021-05-05       Impact factor: 91.245

3.  Association Between 3 Doses of mRNA COVID-19 Vaccine and Symptomatic Infection Caused by the SARS-CoV-2 Omicron and Delta Variants.

Authors:  Emma K Accorsi; Amadea Britton; Katherine E Fleming-Dutra; Zachary R Smith; Nong Shang; Gordana Derado; Joseph Miller; Stephanie J Schrag; Jennifer R Verani
Journal:  JAMA       Date:  2022-02-15       Impact factor: 157.335

4.  Effectiveness of BNT162b2 Vaccine against Omicron Variant in South Africa.

Authors:  Shirley Collie; Jared Champion; Harry Moultrie; Linda-Gail Bekker; Glenda Gray
Journal:  N Engl J Med       Date:  2021-12-29       Impact factor: 91.245

5.  Epidemiological characterisation of the first 785 SARS-CoV-2 Omicron variant cases in Denmark, December 2021.

Authors:  Laura Espenhain; Tjede Funk; Maria Overvad; Sofie Marie Edslev; Jannik Fonager; Anna Cäcilia Ingham; Morten Rasmussen; Sarah Leth Madsen; Caroline Hjorth Espersen; Raphael N Sieber; Marc Stegger; Vithiagaran Gunalan; Bartlomiej Wilkowski; Nicolai Balle Larsen; Rebecca Legarth; Arieh Sierra Cohen; Finn Nielsen; Janni Uyen Hoa Lam; Kjetil Erdogan Lavik; Marianne Karakis; Katja Spiess; Ellinor Marving; Christian Nielsen; Christina Wiid Svarrer; Jonas Bybjerg-Grauholm; Stefan Schytte Olsen; Anders Jensen; Tyra Grove Krause; Luise Müller
Journal:  Euro Surveill       Date:  2021-12

6.  Impact of COVID-19 upon changes in emergency room visits with chest pain of possible cardiac origin.

Authors:  Adeel A Butt; Anand Kartha; Nidal Asaad; Aftab M Azad; Roberto Bertollini; Abdul-Badi Abou-Samra
Journal:  BMC Res Notes       Date:  2020-11-18

7.  Volume and Acuity of Emergency Department Visits Prior To and After COVID-19.

Authors:  Adeel A Butt; Aftab M Azad; Anand B Kartha; Naseer A Masoodi; Roberto Bertollini; Abdul-Badi Abou-Samra
Journal:  J Emerg Med       Date:  2020-08-07       Impact factor: 1.484

8.  SARS-CoV-2 Omicron variant shows less efficient replication and fusion activity when compared with Delta variant in TMPRSS2-expressed cells.

Authors:  Hanjun Zhao; Lu Lu; Zheng Peng; Lin-Lei Chen; Xinjin Meng; Chuyuan Zhang; Jonathan Daniel Ip; Wan-Mui Chan; Allen Wing-Ho Chu; Kwok-Hung Chan; Dong-Yan Jin; Honglin Chen; Kwok-Yung Yuen; Kelvin Kai-Wang To
Journal:  Emerg Microbes Infect       Date:  2022-12       Impact factor: 7.163

9.  Early assessment of the clinical severity of the SARS-CoV-2 omicron variant in South Africa: a data linkage study.

Authors:  Nicole Wolter; Waasila Jassat; Sibongile Walaza; Richard Welch; Harry Moultrie; Michelle Groome; Daniel Gyamfi Amoako; Josie Everatt; Jinal N Bhiman; Cathrine Scheepers; Naume Tebeila; Nicola Chiwandire; Mignon du Plessis; Nevashan Govender; Arshad Ismail; Allison Glass; Koleka Mlisana; Wendy Stevens; Florette K Treurnicht; Zinhle Makatini; Nei-Yuan Hsiao; Raveen Parboosing; Jeannette Wadula; Hannah Hussey; Mary-Ann Davies; Andrew Boulle; Anne von Gottberg; Cheryl Cohen
Journal:  Lancet       Date:  2022-01-19       Impact factor: 202.731

10.  Rapid epidemic expansion of the SARS-CoV-2 Omicron variant in southern Africa.

Authors:  Raquel Viana; Sikhulile Moyo; Daniel G Amoako; Houriiyah Tegally; Cathrine Scheepers; Christian L Althaus; Ugochukwu J Anyaneji; Phillip A Bester; Maciej F Boni; Mohammed Chand; Wonderful T Choga; Rachel Colquhoun; Michaela Davids; Koen Deforche; Deelan Doolabh; Louis du Plessis; Susan Engelbrecht; Josie Everatt; Jennifer Giandhari; Marta Giovanetti; Diana Hardie; Verity Hill; Nei-Yuan Hsiao; Arash Iranzadeh; Arshad Ismail; Charity Joseph; Rageema Joseph; Legodile Koopile; Sergei L Kosakovsky Pond; Moritz U G Kraemer; Lesego Kuate-Lere; Oluwakemi Laguda-Akingba; Onalethatha Lesetedi-Mafoko; Richard J Lessells; Shahin Lockman; Alexander G Lucaci; Arisha Maharaj; Boitshoko Mahlangu; Tongai Maponga; Kamela Mahlakwane; Zinhle Makatini; Gert Marais; Dorcas Maruapula; Kereng Masupu; Mogomotsi Matshaba; Simnikiwe Mayaphi; Nokuzola Mbhele; Mpaphi B Mbulawa; Adriano Mendes; Koleka Mlisana; Anele Mnguni; Thabo Mohale; Monika Moir; Kgomotso Moruisi; Mosepele Mosepele; Gerald Motsatsi; Modisa S Motswaledi; Thongbotho Mphoyakgosi; Nokukhanya Msomi; Peter N Mwangi; Yeshnee Naidoo; Noxolo Ntuli; Martin Nyaga; Lucier Olubayo; Sureshnee Pillay; Botshelo Radibe; Yajna Ramphal; Upasana Ramphal; James E San; Lesley Scott; Roger Shapiro; Lavanya Singh; Pamela Smith-Lawrence; Wendy Stevens; Amy Strydom; Kathleen Subramoney; Naume Tebeila; Derek Tshiabuila; Joseph Tsui; Stephanie van Wyk; Steven Weaver; Constantinos K Wibmer; Eduan Wilkinson; Nicole Wolter; Alexander E Zarebski; Boitumelo Zuze; Dominique Goedhals; Wolfgang Preiser; Florette Treurnicht; Marietje Venter; Carolyn Williamson; Oliver G Pybus; Jinal Bhiman; Allison Glass; Darren P Martin; Andrew Rambaut; Simani Gaseitsiwe; Anne von Gottberg; Tulio de Oliveira
Journal:  Nature       Date:  2022-01-07       Impact factor: 49.962

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  2 in total

1.  A comparative study of spike protein of SARS-CoV-2 and its variant Omicron (B.1.1.529) on some immune characteristics.

Authors:  Ximeng Li; Wenjing Li; Zhuangzhuang Liu; Yuan Kang; Xiaoyu Zhang; Zhenlu Xu; Yuan Gao; Yun Qi
Journal:  Sci Rep       Date:  2022-10-12       Impact factor: 4.996

2.  Multiple introduced lineages and the single native lineage co-driving the four waves of the COVID-19 pandemic in West Africa.

Authors:  Liping Gao; Canjun Zheng; Qi Shi; Lili Wang; Alie Tia; Jone Ngobeh; Zhiguo Liu; Xiaoping Dong; Zhenjun Li
Journal:  Front Public Health       Date:  2022-09-15
  2 in total

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