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PLOS One logoLink to PLOS One
. 2023 Apr 27;18(4):e0282806. doi: 10.1371/journal.pone.0282806

Clinical progression, disease severity, and mortality among adults hospitalized with COVID-19 caused by the Omicron and Delta SARS-CoV-2 variants: A population-based, matched cohort study

COVID-19 Omicron Delta study group
Editor: Giuseppe Di Martino1
PMCID: PMC10138229  PMID: 37104488

Abstract

Background

To compare the intrinsic virulence of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) omicron variant with the delta variant in hospitalized adults with coronavirus disease 2019 (COVID-19).

Methods

All adults hospitalized in the Capital Region of Copenhagen with a positive reverse transcription polymerase chain reaction test for SARS-CoV-2 and an available variant determination from 1 September 2021 to 11 February 2022. Data from health registries and patient files were used. Omicron and Delta patients were matched (1:1) by age, sex, comorbidities, and vaccination status. We calculated crude and adjusted hazard ratios (aHRs) for severe hypoxemia and mortality at 30 and 60 days.

Results

1,043 patients were included. Patients with Omicron were older, had more comorbidities, were frailer, and more often had three vaccine doses than those with Delta. Fewer patients with Omicron developed severe hypoxemia than those with Delta (aHR, 0.55; 95% confidence interval, 0.38–0.78). Omicron patients exhibited decreased aHR for 30-day mortality compared to Delta (aHR, 0.61; 0.39–0.95). Omicron patients who had received three vaccine doses had lower mortality compared to Delta patients who received three doses (aHR, 0.31;0.16–0.59), but not among those who received two or 0–1 doses (aHR, 0.86; 0.41–1.84 and 0.94; 0.49–1.81 respectively). Similar findings were observed for mortality at 60 days. Similar outcomes were obtained in the analyses of 316 individually matched patients.

Conclusions

Among adults hospitalized with COVID-19, those with Omicron had less severe hypoxemia and nearly 40% higher 30- and 60-day survival, as compared with those with Delta, mainly driven by a larger proportion of Omicron patients vaccinated with three doses of an mRNA vaccine.

Introduction

On 26 November 2021, the World Health Organization designated the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) B.1.1.529 variant, Omicron, as the fifth variant of concern [1]. Omicron was rapidly emerging as the dominant SARS-CoV-2 variant circulating worldwide [2]. Early epidemiological studies from South Africa [3, 4], the United States [5, 6], and Europe [79] indicated that the Omicron variant was associated with a significantly reduced risk of hospitalization, intensive care unit (ICU) admission, and death compared with the Delta variant. However, these results originated from populations with high levels of immunity, either due to high vaccination coverage or infection rates. Therefore, the conclusions regarding the intrinsic virulence and severity of coronavirus disease 2019 (COVID-19) due to the SARS-CoV-2 Omicron variant were considered uncertain.

Although the absolute risks of ICU admission and death associated with Omicron infection were reportedly lower than those associated with Delta infection, global data indicated that deaths temporarily increased after Omicron became the predominant variant worldwide [2, 10]. Some of this excess mortality could be explained by larger proportions of unvaccinated older adults in the populations [8, 10]. Furthermore, increasing evidence suggests that a third dose of an mRNA vaccine, following either homologous or heterologous vaccination, leads to higher levels of neutralizing antibodies and increased clinical protection against hospitalization and death caused by either variant [1114]. However, few clinical studies have described the severity of the disease caused by the Omicron variant in patients hospitalized due to COVID-19, and these studies have produced conflicting results [3, 4, 8].

We hypothesized that in hospitalized patients, the Omicron variant is associated with a milder course of COVID-19, compared with the Delta variant. To better understand the differences in clinical progression and severity of COVID-19 associated with these variants, we conducted a large retrospective cohort study by reviewing medical charts of patients hospitalized with SARS-CoV-2 infection, investigating factors linked to poor clinical outcomes for each variant. Furthermore, we individually matched patients within the cohort by age, sex, underlying comorbidities, and vaccination status, allowing us to explore the intrinsic differences between the two variants following hospitalization.

Methods

Study design and study population

A retrospective, multicenter, matched cohort study in the Capital Region of Copenhagen, Denmark, with a population of approximately 1.8 million. As of 1 March 2022, >1 million SARS-CoV-2 infections were confirmed in the region since the first case was reported on 26 February 2020. The first Omicron case was detected on 27 November 2021, with a peak incidence of approximately 1,000 daily cases per 100,000 population in mid-January 2022 [15]. The design and reporting of this study follows the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement [16].

Setting

Patients admitted to any of the nine university hospitals in the region with a positive SARS-CoV-2 reverse transcription polymerase chain reaction (RT-PCR) test from 1 September 2021 to 11 February 2022 were eligible for inclusion. We chose this period to ensure the inclusion of patients admitted when the Delta variant (September to November) and Omicron variant (December to February) were predominant. The prevalence of the Omicron BA.1 sublineage peaked at 71.9% of all sequenced samples in late December, and as of 1 February the Omicron BA.2 sublineage accounted for 89.2% of all sequenced samples [17]. There were no significant changes in the national treatment guidelines for COVID-19 during the study period [18], and the health care system was not considered overwhelmed. By 22 May 2022, the national vaccination coverage was 90% for a first dose, 89% for a second dose, and 76% for a third dose [19]. More than 90% of individuals received an mRNA vaccine [17] (Comirnaty, BNT162b2 mRNA; BioNTech [Mainz, Germany]-Pfizer [New York, NY, USA] or Spikevax, mRNA-1273; Moderna, Cambridge, MA, USA).

Data sources and data collection

Data from the National Patient Register [20], the Danish Civil Register [21], the Danish Vaccination Register [22], and the national COVID-19 surveillance system at Statens Serum Institut (Copenhagen, Denmark) [9, 17] were used to identify all individuals aged ≥18 years who were hospitalized for >12 h within 14 days of a positive RT-PCR test for SARS-CoV-2 and from whom variant information was available. Surveillance and screening algorithms of SARS-CoV-2 variants in Denmark have been described elsewhere [9, 17]. Variant determination was based on whole-genome sequencing or variant-specific RT-PCR performed at Statens Serum Institut or locally at the departments of clinical microbiology in the region.

Medical doctors with experience in caring for COVID-19 patients reviewed all medical records using a predefined electronic data capture instrument (REDCap) [23]. All clinical data that were not available from national registries were collected manually. These included characteristics at admission, laboratory results, and treatments. The patients’ hospitalization courses were categorized as mild, moderate, severe, or critical COVID-19, or attributable to causes other than COVID-19 (with SARS-CoV-2 infection being incidental, i.e., asymptomatic SARS-CoV-2 infection) [18, 24]. We excluded individuals aged <18 years, those with a prior positive RT-PCR SARS-CoV-2 test result, those with a positive RT-PCR SARS-CoV-2 test result >48 h after admission (presumed nosocomial infections), those who were hospitalized in other regions, those transferred from outside to a hospital in the Capital Region, and those from whom vaccination records were unavailable.

Participants

After the medical chart review, patients fulfilling the inclusion criteria who were considered hospitalized due to COVID-19 were included in our study population. We also constructed a second study population by matching all Omicron patients with Delta patients in a 1:1 ratio, with exact matching by age, sex, number of comorbidities that were considered risk factors for severe COVID-19 (0, 1, 2, > 3, as described below), and vaccination status (0, 1, 2, or 3 doses, regardless of the particular vaccines administered).

Variables, outcomes, and exposures

Characteristics at admission: age (years), sex, pre-admission frailty level (defined as 1, no need for help; 2, limited need for assistance daily; 3, extensive need for assistance or living in a nursing home), comorbidities considered to be risk factors for severe COVID-19 (defined as diabetes, body mass index >30, chronic heart disease including hypertension, chronic pulmonary disease, chronic kidney disease, chronic liver disease, active cancer, immunosuppression, cerebrovascular disease, and pregnancy) [18, 25]. Immunosuppression was defined as taking >20 mg prednisolone/daily or equivalent, chemotherapy, biologicals, or methotrexate. Vaccination status was defined as 0, 1, 2, or 3 doses at least 14 days before hospital admission. We calculated the Charlson Comorbidity Index (CCI, Quan) at hospital admission based on hospital discharge diagnoses over the previous 5 years, using the National Patient Register. The CCI was categorized as low (0), moderate (1–2), or high (>2).

Treatment during hospitalization: oxygen supplementation therapy (classified as peak after admission: none, <10 L/min, ≥10 L/min), high-flow nasal cannula (HFNC) (FiO2 > 40%, flow > 30 L/min), noninvasive ventilation (NIV), continuous positive airway pressure (CPAP), invasive mechanical ventilation (MV); use of dexamethasone (standard dose, 6 mg; high dose, 8–12 mg), use of monoclonal antibodies before or during admission (e.g., sotrovimab, casirivimab/imdevimab), use of interleukin-6 receptor inhibitor (tocilizumab), use of antivirals (remdesivir, molnupiravir).

Laboratory results: biochemical (C-reactive protein, D-dimer, ferritin, and procalcitonin), microbiological (blood and respiratory cultures, and PCR results for atypical and viral pathogens), and radiological (chest X-rays and computed tomography [CT] results).

Outcomes: The primary outcomes of interest were: 1) a composite outcome for severe hypoxemia, consisting of the need for ≥10 L/min of supplementary oxygen or HFNC, NIV, CPAP, MV, or ICU admission; 2) death, in hospital or after discharge within 30 or 60 days of COVID-19-related hospital admission. Dates of admission, discharge, and death were verified using national registries.

Exposures: Laboratory confirmed positive RT-PCR test results for Omicron or Delta SARS-CoV-2 variants.

Bias and missing data

We identified and addressed potential sources of bias, please refer to Supplementary Appendix 1 in S1 File and for missing data, please refer to Appendix 2 in S1 File.

Statistical analyses

Descriptive statistics and distributions of covariates among groups of patients categorized by disease severity and stratified by SARS-CoV-2 variants were calculated. Differences among categorical data were evaluated using χ2 tests and Fisher’s exact test. Student’s t-test was used for numerical variables, and the Wilcoxon test was used when appropriate.

Patients were followed up for 60 days after the date of COVID-19 hospitalization or until death, whichever occurred first. Follow-up for the composite outcome of severe hypoxemia was restricted to the period of hospitalization. We performed Cox proportional hazard regression analyses after confirming the assumptions of proportional hazards, by checking zero-slope of time-dependent coefficients. We performed univariate and multivariable regression analyses, adjusting for age, sex, pre-admission frailty, CCI, and vaccination status, and reported crude and adjusted hazard ratios (aHRs). Because the vaccination status of patients was likely to differ between patients infected during the Delta and Omicron periods, and because vaccines may differ in efficacy against these variants, interaction between variants and vaccination status was included in a separate analysis. COVID-19 treatment interventions were documented from medical records and were likely to have similar effects on both Omicron and Delta patients. An exception were the monoclonal antibodies where data emerged showing reduced neutralizing activity of casirivimab/imdevimab against the BA.1 sublineage. Instead, sotrovimab was used but only until the emergence of the BA.2 sublineage where this drug was also shown to be ineffective and ceased to be recommended. During the study period four anti-viral drugs against SARS-CoV-2 were available in Denmark; remdesivir, molnupiravir, casirivimab/imdevimab and sotrovimab. Convalescent plasma was not recommended. Tixageivmab/cilgavivmab, bebtelovimab and nirmatrelvir/ritonavir were not yet available.

Additionally, to optimize group comparisons, we performed a subanalysis in which patients admitted with Delta and Omicron were matched in a 1:1 ratio on age, sex, vaccination status, and underlying comorbidities for the risk of developing severe or critical COVID-19 (as described above). These analyses were further adjusted for frailty at admission.

Statistical significance was set to 0.05 (two-sided). All analyses were performed using R statistical software (ver. 4.2.0; R Development Core Team, Vienna, Austria) [26].

Ethics statement

Permission for this study was provided by the Danish Health and Medicines Authority (ID:31-1521-263) and the Danish Data Protection Agency (P-2020-375). This study was done with use of administrative register data and by a retrospective study of medical records. All data were fully anonymized before access and according to Danish law ethics approval and informed consent to have data from the study participants medical records are not needed for such research.

Results

Among 17,676 hospitalized patients who had a positive SARS-CoV-2 RT-PCR test result during the study period, 7,801 had a SARS-CoV-2 variant determined (4,208 Omicron patients and 3,593 Delta patients). Among these, we identified 1,579 individuals (655 Omicron patients and 924 Delta patients) who were eligible for further clinical review. In total, 536 of these patients (338 Omicron patients [51.6%] and 198 Delta patients [21.4%]) were excluded from the analysis, mainly because they were considered incidental (i.e., asymptomatic). Thus, 1,043 patients were included in the study population. For the matched subgroup, we identified 316 patients (S1 Fig in S1 File).

Baseline characteristics at hospital admission

Table 1 shows the baseline characteristics of the study population at hospital admission. The median age was 72 years and 52.6% (n = 549) were male. Compared with Delta, Omicron patients were older, more often of Danish ethnicity, less frequently overweight, and more often had with a history of smoking. Omicron patients had more comorbidities, but the overall frequencies of specific risk factors for severe COVID-19 were similar for both groups, except for active cancer disease, which was more frequent among Omicron patients. In addition, Omicron patients were more likely to be frail and to need extensive assistance or to live in a nursing home. Fewer Omicron patients were unvaccinated, and more had received three vaccine doses. In addition, the median time from the final vaccination to hospitalization was significantly shorter for Omicron than for Delta patients (Table 1).

Table 1. Baseline characteristics of patients hospitalized with COVID-19 due to SARS-CoV-2 Omicron and Delta variants, according to disease severity (Copenhagen, 1 September 2021 to 11 February 2022; n = 1,043).

Omicron Delta
Mild/Moderate Severe Critical All Mild/Moderate Severe Critical All p-value
Total 158 (49.8%) 121 (38.2%) 38 (12%) 317 (30.4%) 261 (36%) 296 (40.8%) 169 (23.3%) 726 (69.6%)
Age, median (IQR) 64 (38–80.8) 78 (71–85) 74 (66–78) 74 (57–83) 68 (47–78) 72 (53.8–81) 70 (57–79) 70 (52–80) <0.001
Sex Male 69 (43.7%) 61 (50.4%) 25 (65.8%) 155 (48.9%) 127 (48.7%) 157 (53%) 110 (65.1%) 394 (54.3%) 0.12
Female 89 (56.3%) 60 (49.6%) 13 (34.2%) 162 (51.1%) 134 (51.3%) 139 (47%) 59 (34.9%) 332 (45.7%)
BMI, median (IQR) 24.4 (21.6–28.4) 24 (21.2–27.9) 25.6 (22–31.7) 24.4 (21.5–28.2) 26.4 (23.1–30.1) 26.4 (23–31.6) 27.7 (24–31.2) 26.8 (23.2–31) <0.001
Ethnicity Other 39 (24.7%) 15 (12.4%) 9 (23.7%) 63 (19.9%) 74 (28.4%) 83 (28%) 53 (31.4%) 210 (28.9%) 0.003
Danish 119 (75.3%) 106 (87.6%) 29 (76.3%) 254 (80.1%) 187 (71.6%) 213 (72%) 116 (68.6%) 516 (71.1%)
Smoking status Never 73 (46.2%) 35 (28.9%) 10 (26.3%) 118 (37.2%) 119 (45.6%) 125 (42.2%) 69 (40.8%) 313 (43.1%) 0.05
Current 11 (7%) 14 (11.6%) 4 (10.5%) 29 (9.1%) 19 (7.3%) 31 (10.5%) 18 (10.7%) 68 (9.4%)
Previous 49 (31%) 61 (50.4%) 23 (60.5%) 133 (42%) 81 (31%) 102 (34.5%) 60 (35.5%) 243 (33.5%)
Missing 25 (15.8%) 11 (9.1%) 1 (2.6%) 37 (11.7%) 42 (16.1%) 38 (12.8%) 22 (13%) 102 (14%)
Frailty No need for help 100 (63.3%) 44 (36.4%) 14 (36.8%) 158 (49.8%) 206 (78.9%) 201 (67.9%) 124 (73.4%) 531 (73.1%) <0.001
Limited need for help on a daily basis 40 (25.3%) 35 (28.9%) 9 (23.7%) 84 (26.5%) 39 (14.9%) 64 (21.6%) 32 (18.9%) 135 (18.6%)
Full need for help on a daily basis /lives in a nursing home 17 (10.8%) 42 (34.7%) 15 (39.5%) 74 (23.3%) 12 (4.6%) 28 (9.5%) 11 (6.5%) 51 (7%)
COVID-19 vaccination status* None 31 (19.6%) 14 (11.6%) 13 (34.2%) 58 (18.3%) 96 (36.8%) 126 (42.6%) 86 (50.9%) 308 (42.4%) <0.001
One dose 3 (1.9%) 4 (3.3%) 2 (5.3%) 9 (2.8%) 4 (1.5%) 3 (1%) 3 (1.8%) 10 (1.4%)
Two doses 42 (26.6%) 28 (23.1%) 5 (13.2%) 75 (23.7%) 138 (52.9%) 148 (50%) 66 (39.1%) 352 (48.5%)
Three doses 82 (51.9%) 75 (62%) 18 (47.4%) 175 (55.2%) 23 (8.8%) 19 (6.4%) 14 (8.3%) 56 (7.7%)
Time from last vaccination to admission in weeks, median (IQR) Weeks 15 (8.8–21.7) 15.6 (10.8–20.6) 17.4 (13.7–20.6) 15.6 (9.8–21) 27 (21.3–30.9) 29.2 (24.1–33.4) 28 (22.4–31.5) 28.2 (22.4–32.2) <0.001
Charlson comorbidity index, median (IQR) 1 (0–2) 2 (0.8–3) 2 (1–3) 1 (0–2.5) 1 (0–2) 1 (0–2) 1 (0–2) 1 (0–2) <0.001
Charlson comorbidity index, categorical 0 62 (39.2%) 31 (25.6%) 7 (18.4%) 100 (31.5%) 124 (47.5%) 132 (44.6%) 77 (45.6%) 333 (45.9%) <0.001
1–2 68 (43%) 52 (43%) 20 (52.6%) 140 (44.2%) 96 (36.8%) 111 (37.5%) 66 (39.1%) 273 (37.6%)
3+ 28 (17.7%) 38 (31.4%) 11 (28.9%) 77 (24.3%) 41 (15.7%) 53 (17.9%) 26 (15.4%) 120 (16.5%)
Severe risk factors for COVID-19 Pregnancy 12 (7.6%) 12 (3.8%) 11 (4.2%) 2 (0.7%) 2 (1.2%) 15 (2.1%) 0.14
Diabetes mellitus 20 (12.7%) 28 (23.1%) 16 (42.1%) 64 (20.2%) 47 (18%) 69 (23.3%) 40 (23.7%) 156 (21.5%) 0.68
BMI>30 21 (13.3%) 17 (14%) 11 (28.9%) 49 (15.5%) 48 (18.4%) 72 (24.3%) 50 (29.6%) 170 (23.4%) <0.01
Chronic cardiac disease 64 (40.5%) 70 (57.9%) 18 (47.4%) 152 (47.9%) 114 (43.7%) 132 (44.6%) 81 (47.9%) 327 (45%) 0.42
Chronic pulmonary disease 38 (24.1%) 40 (33.1%) 9 (23.7%) 87 (27.4%) 50 (19.2%) 80 (27%) 41 (24.3%) 171 (23.6%) 0.19
Chronic kidney disease 12 (7.6%) 21 (17.4%) 7 (18.4%) 40 (12.6%) 26 (10%) 21 (7.1%) 16 (9.5%) 63 (8.7%) 0.06
Chronic liver disease 1 (0.6%) 1 (0.8%) 2 (5.3%) 4 (1.3%) 6 (2.3%) 5 (1.7%) 1 (0.6%) 12 (1.7%) 0.79
Active cancer 21 (13.3%) 21 (17.4%) 13 (34.2%) 55 (17.4%) 27 (10.3%) 28 (9.5%) 16 (9.5%) 71 (9.8%) <0.001
Immunosuppression** 25 (15.8%) 15 (12.4%) 6 (15.8%) 46 (14.5%) 43 (16.5%) 26 (8.8%) 14 (8.3%) 83 (11.4%) 0.18
Cerebrovascular disease 22 (13.9%) 30 (24.8%) 9 (23.7%) 61 (19.2%) 36 (13.8%) 52 (17.6%) 22 (13%) 110 (15.2%) 0.12
Number of severe COVID-19 risk factors, mean (IQR) 1.5 (1–2) 2 (1–3) 2.4 (1–3) 1.8 (1–3) 1.6 (1–2) 1.6 (1–3) 1.7 (1–3) 1.6 (1–2) 0.08
Time from symptoms to admission, median (IQR) Days 1 (0–4) 2 (1–4.5) 4 (2–7) 2 (0–4) 5 (2–8) 5 (2–8) 7 (4–9) 6 (2–8) <0.001

* Vaccination status was defined as 0, 1, 2, and 3 doses at least 14 days before hospital admission.

** Immunosuppression was defined as using prednisolone > 20 mg/daily or equivalent, chemotherapy, biologicals, or methotrexate (MTX).

Paraclinical characteristics during hospitalization are shown in Table 2. Compared with Delta, Omicron patients had lower peak values of C-reactive protein and ferritin levels but similar levels of D-dimer and procalcitonin. Hospitalized Omicron patients were more likely to have bacterial coinfections in the respiratory tract. Bilateral lung consolidations and ground-glass opacities on CT scans were less commonly observed in Omicron than Delta patients.

Table 2. Laboratory results of patients hospitalized with COVID-19 due to SARS-CoV-2 Omicron and Delta variants, according to disease severity (Copenhagen, 1 September 2021–11 February 2022; n = 1,043).

Omicron Delta
Mild/Moderate Severe Critical All Mild/Moderate Severe Critical All p-value
Total 158 (49.8%) 121 (38.2%) 38 (12%) 317 (100%) 261 (36%) 296 (40.8%) 169 (23.3%) 726 (100%)
Biochemistry
CRP, median (IQR)* 30 (8–66) 91 (47–153) 196 (139–292) 62 (22–139) 41 (18–91) 93 (51–140) 158(110–211) 62 (40–150) 0.01
D-dimer, median (IQR)* 1 (0.4–2.6) 1.3 (0.8–2.3) 2.7 (1.7–6.6) 1.6 (0.8–3) 0.6 (0.3–1) 0.9 (0.5–1.6) 1.7 (0.9–4) 1.6 (0.6–2.1) 0.89
Ferritin, median (IQR)* 147 (60–341) 212 (123–485) 350 (201–807) 221 (99–529) 345 (138–563) 557 (259–1340) 1205 (587–2000) 657 (302–1545) <0.001
Procalcitonin, median (IQR)* 0.1 (0.1–0.4) 0.2 (0.1–1.5) 0.7 (0.3–7) 0.3 (0.1–1.1) 0.2 (0.1–0.4) 0.1 (0.1–0.4) 0.5 (0.1–1.7) 0.3 (0.1–0.8) 0.35
Microbiological findings
Positive blood cultures 3 (1.9%) 15 (12.4%) 8 (21.1%) 26 (8.2%) 5 (1.9%) 8 (2.7%) 32 (18.9%) 45 (6.2%) 0.29
Positive respiratory cultures 5 (3.2%) 24 (19.8%) 21 (55.3%) 50 (15.8%) 9 (3.4%) 20 (6.8%) 44 (26%) 73 (10.1%) 0.01
Atypical bacterial pneumonia ** 2 (1.7%) 2 (0.6%) 3 (1.1%) 1 (0.3%) 4 (0.6%) 1
Chest X-ray performed in 85 (53.8%) 113 (93.4%) 34 (89.5%) 232 (73.2%) 178 (68.2%) 266 (89.9%) 157 (92.9%) 601 (82.8%) <0.001
Chest X-ray findings
Normal 58 (68.2%) 33 (29.2%) 2 (5.9%) 93 (40.1%) 80 (44.9%) 47 (17.7%) 9 (5.7%) 136 (22.6%) <0.001
Unilateral/bilateral pulmonary infiltrates 17 (20.0%) 62 (54.9%) 29 (85.3%) 108 (46.6%) 87 (48.9%) 212 (79.7%) 146 (93.0%) 445 (74.0%) <0.001
Pleural effusion 3 (3.5%) 11 (9.7%) 7 (20.6%) 21 (9.1%) 5 (2.8%) 10 (3.8%) 5 (3.2%) 20 (3.3%) 0.01
Pulmonary edema 2 (1.3%) 8 (6.6%) 3 (7.9%) 13 (4.1%) 1 (0.4%) 4 (1.4%) 5 (3%) 10 (1.4%) 0.01
Other findings 9 (10.6%) 11 (7.1%) 2 (5.9%) 22 (5.6%) 9 (5.1%) 10 (3.8%) 4 (2.5%) 23 (3.8%) 0.01
Chest CT scan performed in 18 (11.4%) 20 (17.7%) 13 (38.2%) 51 (16.1%) 20 (7.7%) 41 (13.9%) 73 (43.2%) 134 (18.5%) <0.001
Chest CT scan findings
Normal CT 8 (5.1%) 3 (2.5%) 11 (3.5%) 3 (1.1%) 1 (0.3%) 4 (0.6%) 0.29
Unilateral subpleural ground glass opacities 1 (2.6%) 1 (0.3%) 4 (1.5%) 3 (1%) 1 (0.6%) 8 (1.1%) <0.001
Bilateral subpleural ground glass opacities with or without consolidation 2 (1.3%) 6 (5%) 8 (21.1%) 16 (5%) 12 (4.6%) 32 (10.8%) 68 (40.2%) 112 (15.4%) <0.001
Unilateral infiltrates with consolidation 3 (1.9%) 2 (5.3%) 5 (1.6%) 2 (0.7%) 2 (0.3%) 0.03
Pulmonary thromboembolism (central or peripheral) 2 (1.3%) 2 (1.7%) 4 (1.3%) 2 (0.8%) 2 (0.7%) 15 (8.9%) 19 (2.6%) 0.25
Plural effusion 3 (1.9%) 3 (2.5%) 2 (5.3%) 8 (2.5%) 1 (0.4%) 3 (1%) 6 (3.6%) 10 (1.4%) 0.20
Other CT 4 (2.5%) 9 (7.4%) 6 (15.8%) 19 (6%) 3 (1.1%) 5 (1.7%) 3 (1.8%) 11 (1.5%) <0.001

*Peak value during admission.

**PCR positive (throat swab or endotracheal aspirate) for Legionella pneumophila, Mycoplasma pneumoniae, or Chlamydia pneumoniae.

In-hospital outcomes, treatments, and death within 30 and 60 days of admission are shown in Table 3. All patients had complete follow-up for the outcomes of interest. The median duration between first symptoms and hospitalization was shorter for Omicron (2 days; IQR, 0–4) than for Delta patients (6 days; IQR, 2–8). In addition, nearly half of Omicron patients did not require oxygen during admission, compared with 35% of Delta patients. Furthermore, fewer hospitalized Omicron patients required ≥10 L/min of supplementary oxygen, HFNC, NIV, CPAP, MV, or ICU admission. Fewer Omicron patients received dexamethasone, interleukin-6 receptor blocker, or anticoagulants, but there were no significant differences between the two patient groups with regard to monoclonal antibody or prescribed antibiotic use (Table 3).

Table 3. Treatment, clinical outcomes and mortality of patients hospitalized with COVID-19 due to SARS-CoV-2 Omicron and Delta variants, according to disease severity (Copenhagen, 1 September 2021 to 11 February 2022; n = 1,043).

Omicron Delta
Mild/Moderate Severe Critical All Mild/Moderate Severe Critical All p-value
Total 158 (49.8%) 121 (38.2%) 38 (12%) 317 (100%) 261 (36%) 296 (40.8%) 169 (23.3%) 726 (100%)
Oxygen supplementation No oxygen 148 (93.7%) 5 (4.1%) 153 (48.3%) 247 (94.6%) 7 (2.4%) 254 (35%) <0.001
Less than 10 L/min 10 (6.3%) 102 (84.3%) 1 (2.6%) 113 (35.6%) 12 (4.6%) 261 (88.2%) 3 (1.8%) 276 (38%)
More than 10 L/min administered by either HFNC, NIV or CPAP * 14 (11.6%) 37 (97.4%) 51 (16.1%) 2 (0.8%) 28 (9.5%) 166 (98.2%) 196 (27%)
Remdesivir Yes 35 (22.2%) 89 (73.6%) 25 (65.8%) 149 (47%) 35 (13.4%) 218 (73.6%) 128 (75.7%) 381 (52.5%) 0.12
Dexamethasone Yes 24 (15.2%) 105 (86.8%) 33 (86.8%) 162 (51.1%) 38 (14.6%) 269 (90.9%) 164 (97%) 471 (64.9%) <0.001
Antibiotics Yes 46 (29.1%) 80 (66.1%) 35 (92.1%) 161 (50.8%) 93 (35.6%) 162 (54.7%) 148 (87.6%) 403 (55.5%) 0.10
IL-6 receptor blocker Yes 1 (0,8%) 8 (21,1%) 9 (2.8%) 48 (28,4%) 48 (6.6%) 0.01
Anticoagulants None 103 (65.2%) 18 (14.9%) 4 (10.5%) 125 (39.4%) 171 (65.5%) 26 (8.8%) 2 (0.8%) 200 (27.5%) <0.001
Prophylactic dosage 40 (25.3%) 81 (66.9%) 20 (52.6%) 141 (44.5%) 72 (27.6%) 242 (81.8%) 144 (85.2%) 458 (63.1%)
Therapeutic dosage 5 (3.2%) 7 (5.8%) 10 (26.3%) 22 (6.9%) 9 (3.4%) 12 (4.1%) 15 (8.9%) 36 (5%)
other dosage 10 (6.3%) 14 (11.6%) 4 (10.5%) 28 (8.8%) 8 (3.1%) 13 (4.4%) 3 (1.8%) 24 (3.3%)
Missing 1 (0,8%) 1 (0.3%) 1 (0,4%) 3 (1%) 4 (2,4%) 8 (1.1%)
Monoclonal antibodies No 137 (86.7%) 106 (87.6%) 31 (81.6%) 274 (86.4%) 217 (83.1%) 267 (90.2%) 141 (83.4%) 625 (86.1%) 0.36
Yes, pre-admission 3 (1,9%) 1 (2,6%) 4 (1.3%) 4 (1,5%) 4 (0.6%)
Yes, during admission 17 (10.8%) 13 (10.7%) 6 (15.8%) 36 (11.4%) 38 (14.6%) 29 (9.8%) 26 (15.4%) 93 (12.8%)
Missing 1 (0,6%) 2 (1,7%) 3 (0.9%) 2 (0,8%) 2 (1,2%) 4 (0.6%)
MIS-A** No 158 (100%) 116 (95.9%) 37 (97.4%) 311 (98.1%) 254 (97.3%) 290 (98%) 165 (97.6%) 709 (97.7%) -
Missing information 5 (4,1%) 1 (2,6%) 6 (1.9%) 7 (2,7%) 6 (2%) 4 (2,4%) 17 (2.3%)
Admission to ICU**** Yes 3 (2,5%) 9 (23,7%) 12 (3.8%) 1 (0,4%) 3 (1%) 73 (43,2%) 77 (10.6%) <0.001
Mechanical ventilation 6 (100%) 6 (1.9%) 45 (100%) 45 (6.2%) <0.01
ICU length of stay (days) 2 (1–3) 12 (8–19) 8 (3.5–13.8) 1 (1–1) 2.5 (2.2–2.8) 9 (3.5–15.5) 8.5 (3–14.8) 0.60
Length of mechanical ventilation (days) 10 (3–11.8) 10 (3–11.8) 10 (6–15) 10 (6–15) 0.15
Length of stay, median (IQR) in days 2 (1–4) 5 (3–7) 8.5 (4.2–13) 4 (1–6) 2 (1–3) 4 (3–7) 13 (8–19) 4 (2–9) <0.001
Readmission within 30 days 17 (10.8%) 14 (11.6%) 7 (18.4%) 38 (12%) 36 (13.8%) 45 (15.2%) 12 (7.1%) 93 (12.8%) 0.73
Death within 30 days of admission 1 (0.6%) 21 (17.4%) 23 (60.5%) 45 (14.2%) 10 (3.8%) 38 (12.8%) 51 (30.2%) 99 (13.6%) 0.85
Death within 60 days of admission 3 (1.9%) 27 (22.3%) 23 (60.5%) 53 (16.7%) 12 (4.6%) 48 (16.2%) 58 (34.3%) 118 (16.3%) 0.86

* high-flow nasal cannula, non-invasive ventilation or continuous positive airway pressure

**Some numbers are masked due to privacy guidelines.

***multisystem inflammatory syndrome in adults

****intensive care unit

Risks of severe hypoxemia during admission and death at 30 and 60 days

Overall, the Omicron variant was associated with a lower risk of severe hypoxemia (aHR, 0.55; 95% confidence interval, 0.38–0.78) than the Delta variant (Table 4). Crude case mortality at 30 and 60 days was similar between hospitalized Omicron and Delta patients (14.2% vs. 13.6%, p = 0.845 at 30 days, and 16.7% vs. 16.3%, p = 0.851 at 60 days, respectively) (Table 3).

Table 4. Univariate and multivariable hazard ratios for severe hypoxemia, 30-day all-cause mortality, and 60-day all-cause mortality, after COVID-19 hospital admission with Delta or Omicron SARS-CoV-2 variants in the total study population (n = 1043) and in the matched study population (n = 316).

Severe hypoxia^ 30-day mortality 60-day mortality
Univariate HR Multivariable HR Univariate HR Multivariable HR Univariate HR Multivariable HR
Total population*
Omicron vs Delta 0.55 (0.4–0.75) 0.55 (0.38–0.78) 1.04 (0.73–1.48) 0.61 (0.39–0.95) 1.03 (0.74–1.42) 0.6 (0.4–0.91)
CCI^^ 0 1 (ref.) 1 (ref.) 1 (ref.) 1 (ref.) 1 (ref.) 1 (ref.)
1–2 1.02 (0.77–1.35) 1.12 (0.82–1.52) 2.61 (1.7–4) 1.51 (0.97–2.35) 2.53 (1.72–3.73) 1.45 (0.97–2.15)
3+ 0.91 (0.64–1.29) 1.15 (0.78–1.72) 3.63 (2.29–5.76) 2.09 (1.29–3.38) 3.46 (2.27–5.27) 1.88 (1.21–2.92)
Frailty No need for help on a daily basis 1 (ref.) 1 (ref.) 1 (ref.) 1 (ref.) 1 (ref.) 1 (ref.)
Limited to full need for help on a daily basis 1.03 (0.71–1.5) 1.31 (0.87–1.96) 4.51 (3.2–6.37) 3.14 (2.15–4.58) 4.3 (3.12–5.93) 3.03 (2.13–4.3)
Age group <60 1 (ref.) 1 (ref.) 1 (ref.) 1 (ref.) 1 (ref.) 1 (ref.)
60–79 1.15 (0.85–1.56) 1.4 (1–1.96) 8.11 (3.72–17.69) 6.99 (3.1–15.77) 8.79 (4.25–18.2) 7.22 (3.38–15.4)
80+ 0.86 (0.61–1.21) 1.16 (0.78–1.72) 14.49 (6.68–31.46) 11.49 (5.01–26.34) 15.16 (7.34–31.28) 11.26 (5.2–24.42)
Sex Male 1 (ref.) 1 (ref.) 1 (ref.) 1 (ref.) 1 (ref.) 1 (ref.)
Female 0.63 (0.49–0.82) 0.64 (0.49–0.83) 0.77 (0.55–1.07) 0.72 (0.51–1) 0.75 (0.55–1.01) 0.7 (0.52–0.96)
Vaccination Three doses 1 (ref.) 1 (ref.) 1 (ref.) 1 (ref.) 1 (ref.) 1 (ref.)
Two doses 1.18 (0.81–1.71) 0.84 (0.55–1.29) 0.82 (0.55–1.23) 0.81 (0.5–1.32) 0.85 (0.6–1.22) 0.82 (0.52–1.28)
None or one dose 1.97 (1.38–2.81) 1.67 (1.09–2.57) 0.67 (0.44–1.03) 1.49 (0.9–2.45) 0.55 (0.37–0.83) 1.18 (0.74–1.89)
Omicron vs. Delta by vaccination status ¤ Three doses 0.48 (0.25–0.89) 0.48 (0.25–0.90) 0.42 (0.22–0.8) 0.31 (0.16–0.59) 0.4 (0.23–0.72) 0.29 (0.16–0.52)
Two doses 0.65 (0.33–1.25) 0.69 (0.35–1.35) 0.7 (0.33–1.48) 0.86 (0.41–1.84) 0.68 (0.35–1.32) 0.85 (0.43–1.68)
None or one dose 0.61 (0.36–1.06) 0.52 (0.30–0.90) 2.24 (1.19–4.21) 0.94 (0.49–1.81) 2.44 (1.32–4.52) 1.06 (0.56–2.00)
Matched population**
Omicron vs Delta 0.69 (0.43–1.12) 0.62 (0.38–1.02) 0.83 (0.49–1.4) 0.58 (0.33–1.02) 0.84 (0.51–1.38) 0.63 (0.37–1.06)
Frailty at admission No need for help on a daily basis 1 (ref.) 1 (ref.) 1 (ref.) 1 (ref.) 1 (ref.) 1 (ref.)
Limited to full need for help on a daily basis 1.65 (0.93–2.94) 1.9 (1.05–3.4) 4.02 (2.33–6.94) 4.76 (2.68–8.44) 3.36 (1.99–5.69) 3.89 (2.24–6.75)
Omicron vs. Delta by vaccination status ¤ Three doses 0.58 (0.23–1.45) 0.54 (0.22–1.36) 0.53 (0.23–1.19) 0.42 (0.18–0.96) 0.48 (0.23–1.04) 0.4 (0.19–0.87)
Two doses 0.86 (0.37–2.04) 0.78 (0.33–1.84) 1.17 (0.42–3.22) 0.88 (0.32–2.46) 1.28 (0.5–3.24) 1.02 (0.4–2.61)
None or one dose 0.66 (0.31–1.42) 0.57 (0.26–1.25) 1.15 (0.42–3.16) 0.72 (0.26–2.05) 1.30 (0.48–3.48) 0.89 (0.32–2.44)

*The analyses in the total population were adjusted for age (>60, 60–79, 80+), sex, frailty at admission, Charlson comorbidity index (CCI) and vaccination status (0,1,2,3 doses). ¤ HR shown are for model with interaction between variants and vaccination status. For the univariate analysis this only included variant, vaccination status, and their interaction, while the multivariable results are adjusted for age group, sex, CCI and frailty

**Individuals were matched in a 1:1 ratio on age (10-year intervals), sex, underlying comorbidities considered to be risk factors for developing severe or critical COVID-19 (0, 1, 2, >2), and vaccination status (0, 1, 2, 3 doses) at least 14 days before admission. The analyses in the matched population were adjusted for frailty at admission. ^Severe hypoxia is defined as a composite outcome consisting of the need for ≥ 10 L/min of oxygen supplementation, high-flow nasal cannula, non-invasive ventilation, continuous positive airway pressure, mechanical ventilation, or intensive care unit admission. ^^Charlson Comorbidity Index

Among the entire population, in the multivariable analyses the Omicron variant was associated with a lower risk of 30-day mortality than the Delta variant (aHR, 0.61; 95% CI, 0.39–0.95) (Table 4). In patients who received three vaccine doses, Omicron was associated with lower 30-day mortality (aHR, 0.31; 0.16–0.59) in the subanalysis where interaction between variants and vaccination status was included (Table 4). There was no statistically significant difference between the variants for those who received two doses (aHR, 0.86; 0.41–1.84) or 0–1 dose (aHR, 0.94; 0.49–1.81) (Table 4). Higher comorbidity levels, increased frailty, and older age were all associated with an increased 30-day risk of mortality (Table 4). Similar estimates resulted from the 60-day risk of death analysis. The main findings from the study are summarized in Table 4 and Fig 1. Excluding patients who received three vaccine doses did not meaningfully change the results of these analyses (results not shown).

Fig 1. Multivariate hazard ratios for 60-day mortality after COVID-19 hospital admission due to SARS-CoV-2 Delta or Omicron variants in the entire study population (n = 1,043).

Fig 1

*The grey area indicates the results where interaction between variants and vaccination status was included in the analysis. P-value for comparing this model with interaction to one without interaction.

Similar hazard ratios for severe hypoxia, 30- and 60-day mortality were obtained in the analyses of the 316 individually matched patients (Tabel 4 and Supplementary Tables A–C in S1 File). In the subanalysis where interaction between the variants and vaccination status was included, among those who had received three vaccine doses, patients with Omicron had a lower risk of death at 30 and 60 days than patients with Delta (aHR, 0.42; 0.18–0.96 and 0.40; 0.19–0.87)). There was no statistically significant difference between the variants for those who received two doses (aHR, 0.88; 0.32–2.46 and 1.02; 0.4–2.61) or 0–1 dose (aHR, 0.72; 0.26–2.05 and 0.89; 0.32–2.44; Table 4). The interaction was only statistically significant for 60-day mortality (p = 0.07 for 30 days and p = 0.03 for 60 days).

Discussion

In this cohort of adults hospitalized due to COVID-19, we found that the SARS-CoV-2 Omicron variant was associated with nearly 40% improved 30- and 60-day survival compared to patients hospitalized with the Delta variant. This was mainly driven by a decreased disease severity observed in Omicron patients vaccinated with three doses of an mRNA vaccine. However, there was no statistically significant difference in mortality risk between Omicron and Delta variants for unvaccinated patients or those who had received one or two vaccine doses. In addition, unadjusted mortality rates at 30 and 60 days were similar for both variants. Omicron patients were older and more frail than Delta patients. Our cohort included many older adults, had free access to health care and testing, and exhibited high COVID-19 vaccination coverage.

In a large population-based study from the UK [7], the risk of death occurring 0–28 days after SARS-CoV-2 infection was substantially lower for Omicron than for Delta, including for the unvaccinated. Our study addresses disease severity and mortality in hospitalized COVID-19 patients caused by the Omicron and Delta SARS-CoV-2 variants and has a follow-up of 60 days from hospitalization. A recent study of patients with solid and hematological malignancies found similar crude mortality rates in unvaccinated patients during the Omicron compared to the Alpha and Delta waves [27]. We found that risk of death for Omicron patients was similar for unvaccinated patients and those who received less than three doses; however, our risk estimates were around one, with wide CIs. Our findings suggest that high third vaccination-dose coverage may have prevented many deaths in our cohort.

We found that Omicron patients had a lower risk of severe hypoxemia, regardless of vaccination status. In addition, biological markers of inflammation and pulmonary involvement on CT scans were lower in the Omicron group. A study from France [8] reported similar results, although Omicron patients were younger, more often female, and better vaccinated than Delta patients. Finally, in agreement with other studies, we found that increasing age [27], frailty [28], and comorbidities [29] were strongly associated with mortality in hospitalized COVID-19 patients.

Our study has limitations. First, high-risk patients (e.g., older, immunocompromised, or with severe chronic underlying diseases) were offered a third vaccine dose early during the fall, likely introducing some effect modification. Thus, patients hospitalized with the Delta variant who had received a third dose were more likely to be susceptible to poor clinical outcomes. We addressed this potential bias by evaluating interactions between vaccination status and SARS-CoV-2 variants and performing a subanalysis. We matched Omicron to Delta cases on risk factors, age, sex, and the number of vaccine doses. Even if we did not control for the time from last vaccination to admission, the time intervals between final vaccination and admission were similar for Omicron and Delta patients in the matched population. These analyses generated similar results for mortality but different results for severe hypoxemia. However, the CIs were wide, and this subanalysis likely lacked power. Second, relatively few individuals had 0–2 vaccine doses, resulting in wide CIs for these estimates.

The strengths of our study included the high-quality data, which were obtained from both medical records and linkage to national databases, the use of whole-genome sequencing and PCR for variant determination, a complete follow-up of the cohort, and the exclusion of incidental SARS-CoV-2 infected patients. Furthermore, our study population consisted of predominantly elderly multimorbid individuals, in whom increased virulence will have the greatest effect on outcomes. Therefore, our results are likely to be generalizable to other countries with similar populations and health care structures.

The finding that infection with the Omicron variant was associated with reduced mortality in hospitalized COVID-19 patients who had received three doses is reassuring for planning vaccination strategies. Our results underline the importance of global public health efforts to achieve equity in access to COVID-19 vaccination in countries with low vaccination uptake.

Supporting information

S1 File

(DOCX)

Acknowledgments

The full membership list of the COVID-19 Omicron Delta study group:

Copenhagen University Hospital, North Zealand, Department of Pulmonary Medicine and Infectious Diseases: MD, PhD Zitta Barrella Harboe*, MD, PhD Casper Roed, MD, PhD Jon G. Holler, MD Fahim Iqbal Khan, MD Aya Nihad Abdulrahman Abdulrahman, MD Stefan Lundby Mülverstedt, Betina Lindgaard-Jensen, MD Barbara Bonnesen Bertelsen, MD, PhD Christian Søborg, MD, PhD Thyge Lynghøj Nielsen, MD Line Vinum Hansen, MD, PhD Birgitte Lindegaard Madsen*, MD Andrea Browatzki, Mads Eiberg*, MD, PhD Peter Haahr Bernhard, MD Emilie Marie Juelstorp Pedersen*, MD, PhD Gertrud Baunbaek Egelund, MD Arnold Matovu Dungu*, MD Adin Sejdic*, MD, PhD Inger Hee Mabuza Mathiesen, MD, PhD Naja Z. Jespersen, MD Pelle Trier Petersen*, MD, PhD Lars Nielsen, MD, PhD Micha Phill Grønholm Jepsen, MD Thomas Ingemann Pedersen, MD, PhD Robert Eriksson, MD Hans Eric Sebastian Seitz-Rasmussen. Copenhagen University Hospital, North Zealand, Department of Intensive Care: MD, PhD Morten Bestle*, MD Henrik Andersen, MD Ulrik Skram, MD Mads Rømer Skøtt. Copenhagen University Hospital, Herlev-Gentofte Hospital, Department of Pulmonary Medicine: Sarah Altaraihi, MD Pradeesh Sivapalan, MD, PhD Jens-Ulrik Stæhr Jensen* Copenhagen University Hospital, Amager-Hvidovre Hospital, Department of Clinical Microbiology: MD Kristian Bagge, MD Kristina Melbardis Jørgensen, MD Maja Johanne Søndergaard Knudsen, MD Thomas Leineweber, MD, PhD Uffe Vest Schneider Copenhagen University Hospital, Herlev-Gentofte Hospital, Department of Clinical Microbiology: MD, PhD Magnus Glindvad Ahlström. Copenhagen University Hospital, Herlev-Gentofte Hospital, Department of Internal Medicine, Section for Infectious Diseases: MD Sofie Rytter, MD Nina le Dous, MD, PhD Pernille Ravn. Copenhagen University Hospital, Bispebjerg-Frederiksberg Hospital, Department of Intensive Care: MD Nanna Reiter. Copenhagen University Hospital, Bispebjerg-Frederiksberg Hospital, Department of Respiratory Medicine and Infectious Diseases: MD, PhD Daria Podlekareva, MD, PhD Andreas Knudsen, MD Stine Johnsen*. Copenhagen University Hospital, Bispebjerg-Frederiksberg Hospital, Parker Institut: MD, PhD Lars-Erik Kristensen*. Copenhagen University Hospital, Amager-Hvidovre Hospital, Department of Infectious Diseases: MD Cæcilie Leding, Bastian Bryan Hertz, MD, PhD Thomas Benfield*. Copenhagen University Hospital, Rigshospitalet, Department of Infectious Diseases: MD, PhD Ole Kirk*, MD, PhD Jon Gitz Holler. Copenhagen University Hospital, Rigshospitalet, Department of Clinical Immunology: MD, PhD Sisse Rye Ostrowski*. Copenhagen University Hospital, Rigshospitalet, Department of Neurointensive Care: MD Sigurdur Thor Sigurdsson Copenhagen University Hospital, Rigshospitalet, Department of Intensive Care: MD, PhD Anders Perner*. Copenhagen University Hospital, Rigshospitalet, Department of Clinical Microbiology: Nikolai Kirkby, PhD Martin Schou Pedersen. PandemiX Center, Department of Science and Environment, Roskilde University: PhD Maarten van Wijhe, PhD Lone Simonsen*. Statens Serum Institut: PhD Peter Michael Bager; MD, PhD Tyra Grove Krause; MD, PhD Marianne Voldstedlund; PhD Lasse Engbo Christiansen; PhD Marc Stegger; PhD Arieh Cohen; PhD Jannik Fonager; MD, PhD Anders Fomsgaard; MD, PhD Rebecca Legarth; PhD Morten Rasmussen; PhD Sophie Gubbels; PhD Jan Wohlfahrt; MD, PhD Troels Lillebæk*. Copenhagen University Hospital, North Zealand, Research Department: MSc Caroline Klint Johannesen, PhD Maarten van Wijhe, MD, PhD Thea K Fischer** *These authors have a secondary affiliation to University of Copenhagen, Department of Clinical Medicine. **This author has a secondary affiliation to University of Copenhagen, Department of Public Health

Data Availability

Data collected for this study, including individual participant data and a data dictionary defining each field in the set, are not publicly available because they contain potentially identifying and sensitive patient information. Upon request from investigators, data can be made available. Such requests should include a study protocol with clear hypotheses as well as the required permissions from the appropriate local authorities according to Danish law on Health, § 46 stk. 2, and be sent to the principal investigator, which will then be reviewed by the steering committee. If the hypothesis complies with the authorizations for this study, and is judged to be valid, a data transfer agreement will precede transfer of de-identified data. Alternatively, data requests may be sent to serum@ssi.dk.

Funding Statement

The authors received no specific funding for this work.

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Decision Letter 0

Giuseppe Di Martino

29 Nov 2022

PONE-D-22-23300Clinical progression, disease severity, and mortality among adults hospitalized with COVID-19 caused by the Omicron and Delta SARS-CoV-2 variants: A population-based, matched cohort studyPLOS ONE

Dear Dr. Casper Roed,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

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ACADEMIC EDITOR: the paper was revised by me and two reviewers. It requires minor revisions that need to be addressed. Please respond properly to reviewer comments.

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Additional Editor Comments (if provided):

I revised the paper entitled "Clinical progression, disease severity, and mortality among adults hospitalized with COVID-19 caused by the Omicron and Delta SARS-CoV-2 variants: A population-based, matched cohort study". It was a cohort study aimed to evaluate differences in clinical outcomes between hospitalized patients with delta and omicron sars-cov-2 variant.

I want to congratulate with Authors for the excellent work. THe study was well conducted, the methodology was strong and deeply described.

I have only some minor observations:

- Did Authors considered the re-infection status? If yes, how it was handled in the analysis?

- was IperImmune Plasma therapy performed in Denmark?

- Among discussion, Author should better highlight that Omicron variant patients more frequently has three doses of vaccine, so it can strongly influence hospital outcomes;

- Did Authors considered to subanalyze by type of vaccination performed?

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

Reviewer #2: Yes

**********

2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: Yes

**********

3. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: Yes

**********

4. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: Yes

**********

5. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: Dear Authors:

I have read with interest the manuscript entitled "Clinical progression, disease severity, and mortality among adults hospitalized with COVID-19 caused by the Omicron and Delta SARS-CoV-2 variants: A population based, matched cohort study" for PlosOne to which I would like to make the following comments:

1. The manuscript the manuscript compares the virulence of the severe acute respiratory syndrome SARS-CoV-2 omicron variant with the delta variant in hospitalized adults with COVID-19 in the Capital Region of Copenhagen, Denmark.

2. The abstract summarizes well the characteristics and results of the study. Perhaps it could be emphasized in the conclusions section that the results have demonstrated the protective effect of vaccines by reducing the severity of the infection.

3. The introduction is correct, the characteristics of the Omicron variant and its differences with the Delta variant are exposed, since Omicron has a lower risk of hospitalization, intensive care unit (ICU) admission, and death compared to Delta. Through a cohort retrospective study, the differences between them are studied in hospitalized patients.

4. The methodology is correctly designed, the study design (retrospective, multicenter, matched cohort study) well explained, as well as the setting and data collection. The selection of patients, the variables, including the vaccination status, and the statistical analysis are correct. Ethical considerations are included.

5. The results are well expressed with the support of the 4 tables and figure 1. Table 4 and figure 1 should be highlighted as they make clear both the influence of vaccination (3 doses) and the risks of severe hypoxemia during admission and death at 30 and 60 days

6. The discussion is correct and highlights the results obtained, the limitations of the study are included. The conclusion: "the finding that infection with the Omicron variant was associated with reduced mortality in hospitalized COVID-19 patients who had received three doses is reassuring for planning vaccination strategies. Our results underline the importance of global public health efforts to achieve equity in access to COVID-19 vaccination in countries with low vaccination uptake", marks the direction of the path to follow emphatically.

7. The bibliographical references are adequate

Reviewer #2: This Danish multicentre observational study with a very high number of patients describes the difference in disease severity between the Delta and Omikron waves. The data are neatly presented and the manuscript is very well written, with the exceptions mentioned below. The observed effect of vaccination (with Omikron only one effect after three vaccinations) is, in my opinion, based on the effect observed in many other studies (including this Danish multicentre observational study with a very large number of patients). The data are neatly presented and the manuscript is very well written, with the exceptions mentioned below. The observed effect of vaccination (with Omikron only one effect after three vaccinations) is, in my opinion, based on the substantial effect of booster vaccination described in many other studies (including immunogenicity data). This should be emphasised more strongly.

1. Was the Sars-CoV-2 variant known in the patients? Some laboratories indicate the Sars-CoV-2 variant (at least Delta or Omicron) even without sequencing based on the PCR melting points. Please answer clearly in the text.

2. Due to the continuous transition from Delta to Omikron, a wash-out period of 2-4 weeks would have been necessary in my view. Why did the authors not do this? Please justify. This is a limitation.

3. This sentence from the abstract it's not clear to me, pls rephrase: „Omicron patients exhibited decreased aHR for 30-day mortality (aHR, 0.61; 0.39–0.95) and when given three vaccine doses (aHR, 0.31;0.16–0.59), but not two doses (aHR, 0.86; 0.41–1.84) or 0–1 dose (aHR, 0.94; 0.49–1.81).“ - To what does the vaccine status refer? Mortality within the Omicron patients?

4. The same applies to figure one. What does the grey area refer to? Is that the comparison of vaccine effectiveness (against mortality )within the Delta and within the Omikron patients? Was there no effect within the Delta group or was the effect within the Delta group set as reference?

5. Table 1: Why was the time since the last vaccination longer in the Delta group than in the Omikron group? At the time of Omikron, most patients should have received their third vaccination some time ago.

6. Table 2: The increased proportion of positive blood cultures in the Omikron group compared to Delta in critically ill patients is remarkable in my view. The proportion of bacterial co- infections in COVID-19 is increasing according to our experience. This is probably because the typical respiratory pathogens are returning and Sars-CoV-2 behaves the same as any other respiratory virus: bacterial co- infections are common and come in with increased severity. Was this increase significant? In any case, this aspect should be addressed in the discussion, as it has implications for future management.

7. Tab. 3: why did the critically ill patients with Omikron receive steroids less often than the critically ill patients under Delta?

8. Table 4: When comparing Omikron versus Delta by vaccination status, was the time elapsed since the last vaccination also taken into account?

**********

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Reviewer #1: No

Reviewer #2: Yes: Mathias Pletz

**********

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PLoS One. 2023 Apr 27;18(4):e0282806. doi: 10.1371/journal.pone.0282806.r002

Author response to Decision Letter 0


17 Jan 2023

Response to Editors and Reviewers

We thank the reviewers and the editor for the insightful comments. We have responded to the individual points below and reviewed the manuscript accordingly.

Additional Editor Comments (if provided):

I revised the paper entitled "Clinical progression, disease severity, and mortality among adults hospitalized with COVID-19 caused by the Omicron and Delta SARS-CoV-2 variants: A population-based, matched cohort study". It was a cohort study aimed to evaluate differences in clinical outcomes between hospitalized patients with delta and omicron sars-cov-2 variant. I want to congratulate with authors for the excellent work. The study was well conducted, the methodology was strong and deeply described. I have only some minor observations:

1. Did the authors consider the re-infection status? If yes, how it was handled in the analysis?

Response: Yes, we did consider re-infection status. Individuals with a prior positive RT-PCR SARS-CoV-2 test result were excluded from the study population. This exclusion is specified in the methods, subheading "Data sources and data collection", second paragraph:

"We excluded individuals aged 18 years, those with a prior positive RT-PCR SARS-CoV-2 test result (…)"

Furthermore, this exclusion criterion is mentioned in the flow diagram (Supplementary Figure 1).

2. Was hyperimmune plasma therapy performed in Denmark?

Response: No, hyperimmune plasma therapy was not recommended in Denmark at the time of the study. The following sentence has been added in the text, page 10, line 3:

“Convalescent plasma was not recommended. Tixageivmab/cilgavivmab, bebtelovimab and nirmatrelvir/ritonavir were not yet available”

3. Among discussion, Author should better highlight that Omicron variant patients more frequently has three doses of vaccine, so it can strongly influence hospital outcomes

Response: Thank you for clarifying this. We have reworded the first paragraph of the discussion, page 14, so now it states:

"In this cohort of adults hospitalized due to COVID-19, we found that the SARS-CoV-2 Omicron variant was associated with nearly 40% improved 30- and 60-day survival compared to patients hospitalized with the Delta variant. This was mainly driven by a decreased disease severity observed in Omicron patients vaccinated with three doses of an mRNA vaccine."

4. Did Authors considered to subanalyze by type of vaccination performed?

Response: A subanalysis by type of COVID-19 vaccine was not performed in our study because more than 90% of individuals in Denmark have received an mRNA vaccine. This was stated in the methods subheading "Setting";

"More than 90% of individuals received an mRNA vaccine17 (Comirnaty, BNT162b2 mRNA; BioNTech [Mainz, Germany]-Pfizer [New York, NY, USA] or Spikevax, mRNA-1273; Moderna, Cambridge, MA, USA)."

Therefore we didn't consider performing a subanalysis by type of vaccination platform because a minority had received an adenovirus-based COVID-19 vaccine.

Reviewers' comments:

Reviewer #1:

Dear Authors:

I have read with interest the manuscript entitled "Clinical progression, disease severity, and mortality among adults hospitalized with COVID-19 caused by the Omicron and Delta SARS-CoV-2 variants: A population based, matched cohort study" for PlosOne to which I would like to make the following comments:

1. The manuscript the manuscript compares the virulence of the severe acute respiratory syndrome SARS-CoV-2 omicron variant with the delta variant in hospitalized adults with COVID-19 in the Capital Region of Copenhagen, Denmark.

2. The abstract summarizes well the characteristics and results of the study. Perhaps it could be emphasized in the conclusions section that the results have demonstrated the protective effect of vaccines by reducing the severity of the infection.

Response: Thank you for the comments. We have emphasized the importance of vaccination in the last sentence of the conclusion in the abstract, which states:

"Among adults hospitalized with COVID-19, those with Omicron had less severe hypoxemia and nearly 40% higher 30- and 60-day survival, as compared with those with Delta, mainly driven by a larger proportion of Omicron patients vaccinated with three doses of an mRNA vaccine."

3. The introduction is correct, the characteristics of the Omicron variant and its differences with the Delta variant are exposed, since Omicron has a lower risk of hospitalization, intensive care unit (ICU) admission, and death compared to Delta. Through a cohort retrospective study, the differences between them are studied in hospitalized patients.

4. The methodology is correctly designed, the study design (retrospective, multicenter, matched cohort study) well explained, as well as the setting and data collection. The selection of patients, the variables, including the vaccination status, and the statistical analysis are correct. Ethical considerations are included.

5. The results are well expressed with the support of the 4 tables and figure 1. Table 4 and figure 1 should be highlighted as they make clear both the influence of vaccination (3 doses) and the risks of severe hypoxemia during admission and death at 30 and 60 days

Response: Thank you for this comment. In the results, it now states:

"The main findings from the study are summarized in Table 4 and Figure 1."

6. The discussion is correct and highlights the results obtained, the limitations of the study are included. The conclusion: "the finding that infection with the Omicron variant was associated with reduced mortality in hospitalized COVID-19 patients who had received three doses is reassuring for planning vaccination strategies. Our results underline the importance of global public health efforts to achieve equity in access to COVID-19 vaccination in countries with low vaccination uptake", marks the direction of the path to follow emphatically.

7. The bibliographical references are adequate

Reviewer #2: This Danish multicentre observational study with a very high number of patients describes the difference in disease severity between the Delta and Omikron waves. The data are neatly presented and the manuscript is very well written, with the exceptions mentioned below. The observed effect of vaccination (with Omikron only one effect after three vaccinations) is, in my opinion, based on the effect observed in many other studies (including this Danish multicentre observational study with a very large number of patients). The data are neatly presented and the manuscript is very well written, with the exceptions mentioned below. The observed effect of vaccination (with Omikron only one effect after three vaccinations) is, in my opinion, based on the substantial effect of booster vaccination described in many other studies (including immunogenicity data). This should be emphasised more strongly.

1. Was the Sars-CoV-2 variant known in the patients? Some laboratories indicate the Sars-CoV-2 variant (at least Delta or Omicron) even without sequencing based on the PCR melting points. Please answer clearly in the text.

Response: Thank you for this comment. One of the strengths of our study is that we only included patients with a known SARS-CoV-2 variant, determined at the national surveillance center through whole genome sequencing or a variant-specific RT-PCT. This is stated in the methods subheading "Data sources and data collection":

Data from the National Patient Register20, the Danish Civil Register21, the Danish Vaccination Register22, and the national COVID-19 surveillance system at Statens Serum Institut (Copenhagen, Denmark)17,23 were used to identify all individuals aged ≥18 years who were hospitalized for 12 h within 14 days of a positive RT-PCR test for SARS-CoV-2 and from whom variant information was available. Surveillance and screening algorithms of SARS-CoV-2 variants in Denmark have been described elsewhere17,23. Variant determination was based on whole-genome sequencing or variant-specific RT-PCR performed at Statens Serum Institut or locally at the departments of clinical microbiology in the region.

And additionally, under “Exposures”:

Exposures: Laboratory confirmed positive RT-PCR test results for Omicron or Delta SARS-CoV-2 variants.

2. Due to the continuous transition from Delta to Omikron, a wash-out period of 2-4 weeks would have been necessary in my view. Why did the authors not do this? Please justify. This is a limitation.

Response: Thank you for this comment related to the previous one. In contrast to most of the published studies, this study is not accounting for differences in outcomes between waves of different variants, we are comparing outcomes of patients with a known variant type.

3. This sentence from the abstract it's not clear to me, pls rephrase: "Omicron patients exhibited decreased aHR for 30-day mortality (aHR, 0.61; 0.39–0.95) and when given three vaccine doses (aHR, 0.31;0.16–0.59), but not two doses (aHR, 0.86; 0.41–1.84) or 0–1 dose (aHR, 0.94; 0.49–1.81). "- To what does the vaccine status refer? Mortality within the Omicron patients?

Response: Thank you for this comment. Good point. We have attempted to clarify the abstract with the following modification:

Omicron patients exhibited decreased aHR for 30-day mortality compared to Delta (aHR, 0.61; 039–0.95). Omicron patients who had received three vaccine doses had lower mortality compared to Delta patients who received three doses (aHR, 0.31;0.16–0.59), but not among those who received two or 0-1 doses (aHR, 0.86; 0.41–1.84 and 0.94; 0.49–1.81 respectively).

4. The same applies to figure one. What does the grey area refer to? Is that the comparison of vaccine effectiveness (against mortality) within the Delta and within the Omikron patients? Was there no effect within the Delta group or was the effect within the Delta group set as reference?

Response: Thank you for your comment. The grey area indicates the results where interaction between variants and vaccination status were included in the analysis. We have omitted the sentence "The grey area indicates interaction terms" in the figure title and instead added a footnote stating: The grey area indicates the results where interaction between variants and vaccination status were included in the analysis.

5. Table 1: Why was the time since the last vaccination longer in the Delta group than in the Omikron group? At the time of Omikron, most patients should have received their third vaccination some time ago.

Response: Thank you for your comment. The observation is correct regarding the timing of the third dose. The vaccination strategy for the third dose prioritized the elderly and immunocompromised individuals. Many industrialized countries followed a similar strategy, but the timing of the third dose differed widely. For example, in Denmark, many patients received their third vaccination during the omicron period. Therefore, we see a shorter time since the last vaccination in the omicron group than in the delta group.

6. Table 2: The increased proportion of positive blood cultures in the Omikron group compared to Delta in critically ill patients is remarkable in my view. The proportion of bacterial co- infections in COVID-19 is increasing according to our experience. This is probably because the typical respiratory pathogens are returning and Sars-CoV-2 behaves the same as any other respiratory virus: bacterial co- infections are common and come in with increased severity. Was this increase significant? In any case, this aspect should be addressed in the discussion, as it has implications for future management.

Response: Thank you for your comment. This observation is very interesting. We decided not going into depth with this because we consider this would be the topic of a new manuscript with the rate of bacterial superinfections between variants.

7. Tab. 3: why did the critically ill patients with Omikron receive steroids less often than the critically ill patients under Delta?

Response: We reviewed the medical files for all patients: in the Omicron group, 4 out of 5 critically ill patients who did not receive dexamethasone were in a terminal state at time of admission. One of those patients received one dose of dexamethasone before death. The fifth patient was already on prednisolone 37.5 mg/dgl because of COPD exacerbation and the clinicians decided to continue with prednisolone instead of prescribing dexamethasone.

8. Table 4: When comparing Omikron versus Delta by vaccination status, was the time elapsed since the last vaccination also taken into account?

Response: The time since the last vaccination was not considered in the analysis presented. However, we have done substantial checks on the influence of this timing. These checks were slightly restricted because the third dose was prioritized among the elderly during the omicron period (as mentioned earlier). This meant that ideal comparison groups could not be made, and many patients who had their last dose only several weeks prior to hospitalization were in the omicron group, while those with a longer time since the last vaccination were in the delta group. Nevertheless, when including time since vaccination as a categorical covariate at various levels, the results did not change meaningfully, and vaccination status and variant were still strong predictors for the outcome.

Your sincerely

Corresponding authors on behalf of all authors:

Zitta Barrella Harboe, Department of Pulmonary Medicine and Infectious Diseases Copenhagen University Hospital, North Zealand, Dyrehavevej 29, 3400 Hillerod: zitta.barrella.harboe@regionh.dk

Casper Roed, Department of Pulmonary Medicine and Infectious Diseases Copenhagen University Hospital, North Zealand, Dyrehavevej 29, 3400 Hillerod: casper.roed@regionh.dk

Attachment

Submitted filename: Response to reviewers.docx

Decision Letter 1

Giuseppe Di Martino

23 Feb 2023

Clinical progression, disease severity, and mortality among adults hospitalized with COVID-19 caused by the Omicron and Delta SARS-CoV-2 variants: A population-based, matched cohort study

PONE-D-22-23300R1

Dear Dr. Casper Roed,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

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Kind regards,

Giuseppe Di Martino

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #1: All comments have been addressed

Reviewer #2: All comments have been addressed

**********

2. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

Reviewer #2: Yes

**********

3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: Yes

**********

4. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: Yes

**********

5. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: Yes

**********

6. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: Dear Authors: Your manuscript is well written, with interesting results, and can be published in its present form

Reviewer #2: You have nicely addressed my issues. I encourage you to take a deeper look into the bacterial co-infections.

**********

7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: No

Reviewer #2: No

**********

Acceptance letter

Giuseppe Di Martino

28 Feb 2023

PONE-D-22-23300R1

Clinical progression, disease severity, and mortality among adults hospitalized with COVID-19 caused by the Omicron and Delta SARS-CoV-2 variants: A population-based, matched cohort study

Dear Dr. Roed:

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department.

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on behalf of

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Associated Data

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    Submitted filename: Response to reviewers.docx

    Data Availability Statement

    Data collected for this study, including individual participant data and a data dictionary defining each field in the set, are not publicly available because they contain potentially identifying and sensitive patient information. Upon request from investigators, data can be made available. Such requests should include a study protocol with clear hypotheses as well as the required permissions from the appropriate local authorities according to Danish law on Health, § 46 stk. 2, and be sent to the principal investigator, which will then be reviewed by the steering committee. If the hypothesis complies with the authorizations for this study, and is judged to be valid, a data transfer agreement will precede transfer of de-identified data. Alternatively, data requests may be sent to serum@ssi.dk.


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