Literature DB >> 35971766

Breakthrough COVID-19 Infection During the Delta Variant Dominant Period: Individualized Care Based on Vaccination Status Is Needed.

Chan Mi Lee1,2, Eunyoung Lee1,2, Wan Beom Park1, Pyoeng Gyun Choe1, Kyoung-Ho Song1,3, Eu Suk Kim1,3, Sang-Won Park1,4.   

Abstract

BACKGROUND: The clinical features of coronavirus disease 2019 (COVID-19) patients in the COVID-19 vaccination era need to be clarified because breakthrough infection after vaccination is not uncommon.
METHODS: We retrospectively analyzed hospitalized COVID-19 patients during a delta variant-dominant period 6 months after the national COVID-19 vaccination rollout. The clinical characteristics and risk factors for severe progression were assessed and subclassified according to vaccination status.
RESULTS: A total of 438 COVID-19 patients were included; the numbers of patients in the unvaccinated, partially vaccinated and fully vaccinated groups were 188 (42.9%), 117 (26.7%) and 133 (30.4%), respectively. The vaccinated group was older, less symptomatic and had a higher Charlson comorbidity index at presentation. The proportions of patients who experienced severe progression in the unvaccinated and fully vaccinated groups were 20.3% (31/153) and 10.8% (13/120), respectively. Older age, diabetes mellitus, solid cancer, elevated levels of lactate dehydrogenase and chest X-ray abnormalities were associated with severe progression, and the vaccination at least once was the only protective factor for severe progression. Chest X-ray abnormalities at presentation were the only predictor for severe progression among fully vaccinated patients.
CONCLUSION: In the hospitalized setting, vaccinated and unvaccinated COVID-19 patients showed different clinical features and risk of oxygen demand despite a relatively high proportion of patients in the two groups. Vaccination needs to be assessed as an initial checkpoint, and chest X-ray may be helpful for predicting severe progression in vaccinated patients.
© 2022 The Korean Academy of Medical Sciences.

Entities:  

Keywords:  Breakthrough Infection; COVID-19; Oxygen Therapy; SARS-CoV-2; Severe Progression

Mesh:

Substances:

Year:  2022        PMID: 35971766      PMCID: PMC9424692          DOI: 10.3346/jkms.2022.37.e252

Source DB:  PubMed          Journal:  J Korean Med Sci        ISSN: 1011-8934            Impact factor:   5.354


INTRODUCTION

Vaccination has been one of the key ways in which the 2-year long coronavirus disease 2019 (COVID-19) pandemic has been addressed. Several types of COVID-19 vaccines were rapidly rolled out and have shown efficacy ranging from 74% to 95% in preventing COVID-19 depending on the vaccine platform.123 Severe aggravation was also shown to be significantly prevented by the available vaccines.23 The imperfect efficacy of vaccination has resulted in breakthrough COVID-19 infections and severe progression of COVID-19 regardless of vaccination status, and the factors related to those events are of both scientific and clinical interest. Although the worldwide pandemic situation is largely easing, there is regional imbalance in the severity of the pandemic and in the coverage by vaccines, especially in countries with poor resources. Even in high-income countries, the proportion of unvaccinated individuals is not low. As the world approaches a strategy of living with COVID-19, physicians will frequently find themselves caring for vaccinated and unvaccinated COVID-19 patients and need to be educated for the clinical features of those patients. Since the first rollout of the AZD1222 (ChAdOx1 nCoV-19) vaccine on February 26, 2021, national vaccine coverage in Korea has been favorable, but patients with breakthrough infections have been reported.45 Although population-based studies estimating the effectiveness of COVID-19 vaccines have been reported,678 information about the clinical features and risk factors for aggravation of vaccinated and unvaccinated COVID-19 patients in a real-world setting would be very helpful to physicians. The Korean national COVID-19 policy provided an opportunity to investigate vaccinated and unvaccinated COVID-19 patients needing hospitalization. In this study, we aimed to describe how the clinical manifestations of COVID-19 patients present in a real-world in-hospital care setting during the COVID-19 vaccination era and to determine the clinical implications of vaccination status in the individual patient care.

METHODS

Patients and study setting

All hospitalized COVID-19 patients ≥ 19 years of age in whom COVID-19 infection was confirmed by real-time reverse transcription polymerase chain reaction were enrolled from September to October 2021 at Boramae Medical Center, a university affiliated hospital designated for the care of hospitalized COVID-19 patients. Patients for whom information on documented vaccination status was not available were excluded (Fig. 1). During the study period, COVID-19 patients classified as belonging to a high-risk group or a symptomatic low-risk group were allowed to be admitted to the hospital. Most other stable COVID-19 patients were isolated in residential treatment centers. The patients were grouped into vaccinated and unvaccinated groups, and their presenting clinical features and the overall risk factors at admission for severe progression were characterized. In the subgroup analysis, clinical predictors for severe progression were assessed in the fully vaccinated group.
Fig. 1

Study setting. A total of 438 patients were enrolled, 188 of whom were unvaccinated and 250 of whom were vaccinated. The vaccinated group was divided into the fully vaccinated group and the partially vaccinated group.

Data collection and definitions

Data were retrospectively collected on demographics, vaccination status, clinical variables at presentation (clinical severity, symptoms and signs, laboratory findings and chest radiography), specific treatments, and clinical outcomes. COVID-19-specific treatments, including the use of remdesivir, monoclonal antibodies, or corticosteroids, and the use of antibacterial agents for periods ≥ 3 days were recorded. The level of oxygen supplementation, the in-hospital mortality, and the duration of hospitalization were used to assess the clinical outcomes. Initial clinical severity was assessed based on the National Early Warning Score (NEWS)-2 and the Sequential Organ Failure Assessment (SOFA) score,9 and the severity of underlying comorbidity was estimated according to the Charlson comorbidity index (CCI).10 Patients with COVID-19 who had received full vaccination were defined as those who developed symptoms or were diagnosed with COVID-19 more than 14 days after completion the recommended vaccine regimen. Those who were vaccinated at least once but did not meet the criteria for full vaccination were defined as partially vaccinated. The use of immunosuppressants was defined as having received any anticancer chemotherapy or any immunosuppressive agents, including steroids, within 30 days. The worst results of body temperature on the day of admission and laboratory findings within 24 hours after admission were used. Severe progression was defined as the occurrence of new oxygen demand during the clinical course of the disease, and oxygen demand was defined as needing oxygen for a period of more than 24 consecutive hours. Chest X-ray abnormalities were defined as the presence of lung infiltration suggestive of pneumonia on simple chest X-ray according to the independent formal report of the reviewing radiologists.

Statistical analysis

Student’s t-test or the Mann-Whitney U test was used to compare continuous variables, and the χ2 test or Fisher’s exact test was used to compare categorical variables. To determine the risk factors for severe progression, multivariable logistic regression was performed using variables for which P < 0.10 in the univariate analysis. To avoid multicollinearity, the CCI, variable of no underlying disease and no initial symptoms were not included in the multivariable model. The SOFA score was excluded from the multivariable model to avoid multicollinearity with the NEWS-2 and thrombocytopenia. To determine the goodness of fit for logistic regression models, the Hosmer-Lemeshow test was used. P values < 0.05 were considered statistically significant. Statistical analyses were performed using IBM SPSS Statistics, version 26.0 (IBM Corp., Armonk, NY, USA).

Ethics statement

This study was approved by the Institutional Review Board (IRB) of Boramae Medical Center (No. 20-2021-54). The requirement for informed consent was waived by the IRB owing to the retrospective nature of the study. This study was conducted in compliance with the Declaration of Helsinki.

RESULTS

Clinical features of unvaccinated and vaccinated COVID-19 patients

A total of 438 patients were included in the analysis; 188 (42.9%) and 250 (57.1%) patients were included in the unvaccinated and vaccinated groups, respectively. Of the 250 vaccinated patients, 133 (53.2%) were fully vaccinated, and 117 (46.8%) were partially vaccinated (Fig. 1). Analysis of the baseline characteristics of the patients showed that the vaccinated group was older, had a shorter time lag from diagnosis to admission or from onset of illness to admission, and had a lower initial NEWS-2 than the unvaccinated group (Table 1). The vaccinated group also had a higher CCI (median 2.0 vs. 0.0, P < 0.001) and a higher incidence of other underlying diseases (hypertension, diabetes mellitus, and chronic kidney disease) than the unvaccinated group. Patients without any underlying diseases were more frequent in the unvaccinated group. At admission, dyspnea and fever exceeding 38.0°C were more frequent, and white blood cell and platelet counts were lower, but lactate dehydrogenase (LDH) level and the proportion of chest X-ray abnormalities was higher (70.7% vs. 47.2%, P < 0.001) in the unvaccinated group than in the vaccinated group (Table 1).
Table 1

Presenting characteristics of coronavirus disease 2019 patients according to vaccination status at admission

VariablesUnvaccinated (n = 188)Vaccinated (n = 250) P
Age, yr44 (36–56)61 (45–71)< 0.001
Male90 (47.9)116 (46.4)0.760
BMI23.5 (21.0–26.0)24.2 (21.5–26.8)0.014
Diagnosis to admission, day3.0 (0.0–5.0)1.0 (0.0–2.0)< 0.001
Symptom onset to admission, day5.5 (3.0–7.0)4.0 (2.0–7.0)0.007
Initial NIH classification
Asymptomatic, mild52 (27.7)129 (51.6)
Moderate101 (53.7)92 (36.8)
Severe, critical35 (54.5)29 (11.6)
Initial severity
NEWS-22.0 (1.0–3.0)1.0 (0.0–2.0)0.002
SOFA score1.0 (0.0–1.0)0.0 (0.0–1.0)0.123
Underlying comorbidity
CCI0.0 (0.0–1.5)2.0 (0.0–3.0)< 0.001
Hypertension33 (17.6)84 (33.6)< 0.001
Diabetes mellitus23 (12.2)52 (20.8)0.018
Chronic heart disease1 (0.5)8 (3.2)0.085
Cerebrovascular disease3 (1.6)10 (4.0)0.142
COPD1 (0.5)3 (1.2)0.638
Asthma11 (5.9)7 (2.8)0.111
Chronic liver disease3 (1.6)9 (3.6)0.203
Chronic kidney disease3 (1.6)15 (6.0)0.022
Renal replacement therapy0 (0.0)3 (1.2)0.263
Solid cancer13 (6.9)25 (10.0)0.256
Hematologic malignancy2 (1.1)2 (0.8)> 0.999
Immunosuppressant use12 (6.4)11 (4.4)0.357
None99 (52.7)80 (32.0)< 0.001
Initial symptoms
Loss of smell12 (6.4)11 (4.4)0.357
Loss of taste13 (6.9)11 (4.4)0.252
Cough107 (56.9)121 (48.4)0.077
Dyspnea20 (10.6)10 (4.0)0.006
None16 (8.5)34 (13.6)0.097
Initial body temperature ≥ 38.0°C47 (25.0)31 (12.4)0.001
Initial laboratory findings
White blood cells, /mm34,175 (3,138–5,285)4,990 (3,730–6,250)0.002
Lymphocytes, %28.0 (19.0–36.4)25.5 (17.6–34.5)0.110
Hemoglobin, g/dL13.6 (12.8–14.6)13.3 (12.4–14.3)0.120
Platelets, × 103/mm3172 (140–233)200 (144–245)0.021
Bilirubin, total, mg/dL0.4 (0.3–0.5)0.4 (0.3–0.6)0.010
Lactate dehydrogenase, U/L251 (197–328)210 (173–270)< 0.001
Creatinine kinase, U/L77 (55–138)72 (53–110)0.630
CRP, mg/dL2.28 (0.61–4.94)1.53 (0.34–4.97)0.996
Creatinine, mg/dL0.72 (0.58–0.91)0.77 (0.63–0.91)0.063
Ct value (RdRp gene)18.6 (14.7–23.8)18.5 (14.8–23.6)0.862
Chest X-ray abnormality133 (70.7)118 (47.2)< 0.001

Values are presented as number (%) or median (interquartile range).

BMI = body mass index, NIH = National Institutes of Health, NEWS = National Early Warning Score, SOFA = Sequential Organ Failure Assessment, CCI = Charlson comorbidity index, COPD = chronic obstructive pulmonary disease, CRP = C-reactive protein, Ct = cyclic threshold, RdRp = RNA dependent RNA polymerase.

Values are presented as number (%) or median (interquartile range). BMI = body mass index, NIH = National Institutes of Health, NEWS = National Early Warning Score, SOFA = Sequential Organ Failure Assessment, CCI = Charlson comorbidity index, COPD = chronic obstructive pulmonary disease, CRP = C-reactive protein, Ct = cyclic threshold, RdRp = RNA dependent RNA polymerase. The fully vaccinated group was older and had a shorter time lag from diagnosis to admission or onset of illness to admission than the partially vaccinated group. In the partially vaccinated group, 70.9% of patients had been vaccinated with BNT162b2 (Table 2). The fully vaccinated group had higher median CCI (3.0 vs. 1.0, P < 0.001) and higher proportion of individuals with hypertension and chronic kidney disease than the partially vaccinated group. At presentation, cough was more frequent and the level of LDH was higher in the partially vaccinated group than in the fully vaccinated group (Table 2).
Table 2

Presenting characteristics of partially and fully vaccinated coronavirus disease 2019 patients at admission

VariablesPartially vaccinated (n = 117)Fully vaccinated (n = 133) P
Age, yr53 (42–60)69 (58–76)< 0.001
Male54 (46.2)62 (46.6)0.942
BMI23.8 (21.1–26.6)24.4 (22.0–27.2)0.412
Diagnosis to admission, day1.0 (0.0–5.0)0.0 (0.0–1.0)< 0.001
Symptom onset to admission, day5.0 (3.0–8.0)3.0 (1.0–5.0)< 0.001
Initial NIH classification
Asymptomatic, mild53 (45.3)76 (57.1)
Moderate48 (41.0)44 (33.1)
Severe, critical16 (13.7)13 (9.8)
Initial severity
NEWS-21.0 (0.0–2.0)1.0 (0.0–2.0)0.300
SOFA score0.0 (0.0–1.0)0.0 (0.0–1.0)0.462
Vaccination status
BNT162b283 (70.9)52 (39.1)
AZD122225 (21.4)66 (49.6)
Ad26.COV2.S2 (1.7)8 (6.0)
mRNA-12737 (6.0)2 (1.5)
Cross-vaccination, others0 (0.0)5 (3.8)
Underlying comorbidity
CCI1.0 (0.0–2.0)3.0 (2.0–4.0)< 0.001
Hypertension26 (22.2)58 (43.6)< 0.001
Diabetes mellitus21 (17.9)31 (23.3)0.298
Chronic heart disease3 (2.6)5 (3.8)0.727
Cerebrovascular disease2 (1.7)8 (6.0)0.110
COPD1 (0.9)2 (1.5)> 0.999
Asthma2 (1.7)5 (3.8)0.453
Chronic liver disease6 (5.1)3 (2.3)0.312
Chronic kidney disease1 (0.9)14 (10.5)0.001
Renal replacement therapy0 (0.0)3 (2.3)0.250
Solid cancer11 (9.4)14 (10.5)0.835
Hematologic malignancy0 (0.0)2 (1.5)0.500
Immunosuppressant use3 (2.6)8 (6.0)0.184
None51 (43.6)29 (21.8)< 0.001
Initial symptoms
Loss of smell6 (5.1)5 (3.8)0.599
Loss of taste5 (4.3)6 (4.5)0.927
Cough66 (56.4)55 (41.4)0.017
Dyspnea6 (5.1)4 (3.0)0.522
None11 (9.4)23 (17.3)0.069
Initial body temperature ≥ 38°C17 (14.5)14 (10.5)0.338
Initial laboratory findings
White blood cells, /mm34,650 (3,480–6,075)5,180 (4,110–6,618)0.066
Lymphocytes, %24.4 (17.5–34.5)25.7 (17.7–35.1)0.994
Hemoglobin, g/dL13.3 (12.5–14.2)13.3 (12.2–14.2)0.197
Platelets, × 103/mm3203 (148–253)197 (157–245)0.967
Bilirubin, total, mg/dL0.4 (0.3–0.6)0.5 (0.3–0.6)0.252
Lactate dehydrogenase, U/L219 (171–309)204 (178–240)0.004
Creatinine kinase, U/L71 (53–110)74 (55–110)0.274
CRP, mg/dL1.84 (0.33–5.70)1.24 (0.35–4.08)0.076
Creatinine, mg/dL0.70 (0.60–0.86)0.81 (0.68–0.97)0.016
Ct value (RdRp gene)19.3 (14.7–24.7)18.3 (15.0–23.2)0.257
Chest X-ray abnormality61 (52.1)57 (42.9)0.143

Values are presented as number (%) or median (interquartile range).

BMI = body mass index, NIH = National Institutes of Health, NEWS = National Early Warning Score, SOFA = Sequential Organ Failure Assessment, CCI = Charlson comorbidity index, COPD = chronic obstructive pulmonary disease, CRP = C-reactive protein, Ct = cyclic threshold, RdRp = RNA dependent RNA polymerase.

Values are presented as number (%) or median (interquartile range). BMI = body mass index, NIH = National Institutes of Health, NEWS = National Early Warning Score, SOFA = Sequential Organ Failure Assessment, CCI = Charlson comorbidity index, COPD = chronic obstructive pulmonary disease, CRP = C-reactive protein, Ct = cyclic threshold, RdRp = RNA dependent RNA polymerase. The unvaccinated group required more oxygen therapy during the clinical course of the disease than the vaccinated group (nasal prong, 30.8% vs. 16.8%; facial mask, 0.0% vs. 0.4%; high flow, 2.7% vs. 2.8%; intubation, 1.6% vs. 1.2%; P = 0.008) (Table 3). Thirty-five patients in the unvaccinated group required oxygen therapy on the day of admission; of the 153 patients in that group without initial oxygen demand, 31 (20.3%) experienced clinical progression to severe disease. Thirteen patients in the fully vaccinated group required oxygen therapy initially; of the 120 patients in that group without initial oxygen demand, 13 (10.8%) required oxygen therapy later (Fig. 2). Consistent with their greater need for oxygen therapy, the unvaccinated group received more remdesivir and corticosteroids. Antibacterial agents were used more frequently in the unvaccinated group than in the vaccinated group (38.3% vs. 21.2%, P < 0.001) (Table 3). The fully vaccinated group remained in the hospital longer (median 10.0 days vs. 8.0 days, P < 0.001) than did the partially vaccinated group, but the proportion of patients needing oxygen therapy did not differ between the fully and partially vaccinated groups (Supplementary Table 1).
Table 3

Treatments and clinical outcomes of unvaccinated and vaccinated coronavirus disease 2019 patients

VariablesUnvaccinated (n = 188)Vaccinated (n = 250) P
Specific treatments
Remdesivir66 (35.1)54 (21.6)0.002
Dexamethasone76 (40.4)58 (23.2)< 0.001
Monoclonal antibody20 (10.6)16 (6.4)0.110
Antibacterial agents72 (38.3)53 (21.2)< 0.001
Clinical outcomes (maximum oxygen therapy)0.008
No oxygen therapy122 (64.9)197 (78.8)
Nasal prong58 (30.8)42 (16.8)
Facial mask0 (0.0)1 (0.4)
High flow5 (2.7)7 (2.8)
Intubation3 (1.6)3 (1.2)
In-hospital mortality0 (0.0)1 (0.4)> 0.999
Admission to discharge, day8.0 (7.0–10.0)9.0 (7.0–11.0)0.676

Values are presented as number (%) or median (interquartile range). Monoclonal antibody: only regdanvimab (CT-P59; Celltrion Inc., Incheon, Korea) was used in Korea.

Fig. 2

Requirement for oxygen therapy at admission and during hospitalization among the unvaccinated (n = 188) and fully vaccinated groups (n = 133). The results are presented as the number of individuals in the UV group and the FV group. Among the 188 patients in UV group, 35 patients required oxygen at admission and 31 patients out of the other 153 patients (20.3%, 31/153) experienced clinical aggravation to need new oxygen requirement. Among the 133 patients in FV group, 13 patients required oxygen at admission and 13 patients out of the other 120 patients (10.8%, 13/120) experienced clinical aggravation to need new oxygen requirement.

UV = unvaccinated, FV = fully vaccinated.

Values are presented as number (%) or median (interquartile range). Monoclonal antibody: only regdanvimab (CT-P59; Celltrion Inc., Incheon, Korea) was used in Korea.

Requirement for oxygen therapy at admission and during hospitalization among the unvaccinated (n = 188) and fully vaccinated groups (n = 133). The results are presented as the number of individuals in the UV group and the FV group. Among the 188 patients in UV group, 35 patients required oxygen at admission and 31 patients out of the other 153 patients (20.3%, 31/153) experienced clinical aggravation to need new oxygen requirement. Among the 133 patients in FV group, 13 patients required oxygen at admission and 13 patients out of the other 120 patients (10.8%, 13/120) experienced clinical aggravation to need new oxygen requirement.

UV = unvaccinated, FV = fully vaccinated.

Risk factors for severe progression in COVID-19 patients and vaccination status

The risk factors for severe progression during the clinical course among patients who did not initially require oxygen therapy were identified by multivariable analysis. Older age (adjusted odds ratio [aOR], 1.04; 95% confidence interval [CI], 1.02–1.07; P = 0.003), diabetes mellitus (aOR, 2.31; 95% CI, 1.00–5.33; P = 0.049), solid cancer (aOR, 3.18; 95% CI, 1.14–8.85; P = 0.027), elevated level of LDH (aOR, 2.99; 95% CI, 1.34–6.65; P = 0.007), and chest X-ray abnormality (aOR, 3.41; 95% CI, 1.31–8.89; P = 0.012) were significantly associated with severe progression. Vaccination at least once was associated with reduced risk of severe progression (aOR, 0.35; 95% CI, 0.15–0.79; P = 0.011) (Table 4). In the fully vaccinated patients without initial oxygen demand, chest X-ray abnormalities were the only risk factor for severe progression (aOR, 20.16; 95% CI, 2.43–167.66; P = 0.005) by multivariable analysis. Elevated level of C-reactive protein (CRP) was excluded from the multivariable model because the P value of the Hosmer-Lemeshow test was < 0.05 in the model including elevated level of CRP (Table 5).
Table 4

Risk factors for severe progression among unvaccinated and vaccinated coronavirus disease 2019 patients at admission

VariablesSevere progression (n = 55)Non-progression (n = 319)UnivariateMultivariate
OR (95% CI) P aOR (95% CI) P
Age, yr61 (47–71)50 (38–64)1.03 (1.01–1.05)0.0021.04 (1.02–1.07)0.003
Male28 (50.9)143 (44.8)1.28 (0.72–2.26)0.404
BMI23.9 (21.0–26.2)24.0 (21.3–26.6)0.98 (0.92–1.06)0.655
Diagnosis to admission, day1.0 (0.0–4.0)1.0 (0.0–4.0)0.96 (0.86–1.08)0.491
Symptom onset to admission, day4.0 (2.0–6.0)4.0 (2.0–7.0)0.97 (0.89–1.06)0.520
Initial severity
NEWS-21.0 (1.0–2.0)1.0 (0.0–2.0)1.34 (1.09–1.63)0.0051.11 (0.86–1.43)0.428
SOFA score0.0 (0.0–1.0)0.0 (0.0–1.0)1.60 (1.18–2.19)0.003
Vaccination status
Vaccination at least once24 (43.6)197 (61.8)0.48 (0.27–0.86)0.0130.35 (0.15–0.79)0.011
Fully vaccinated13 (23.6)107 (33.5)0.61 (0.32–1.19)0.149
Underlying comorbidity
CCI2.0 (1.0–4.0)1.0 (0.0–3.0)1.26 (1.11–1.44)< 0.001
Hypertension15 (27.3)80 (25.1)1.12 (0.59–2.14)0.730
Diabetes mellitus14 (25.5)42 (13.2)2.25 (1.13–4.48)0.0212.31 (1.00–5.33)0.049
Chronic heart disease0 (0.0)8 (2.5)-0.999
Cerebrovascular disease0 (0.0)12 (3.8)-0.999
COPD1 (1.8)3 (0.9)1.95 (0.20–19.10)0.566
Asthma3 (5.5)13 (4.1)1.36 (0.37–4.93)0.642
Chronic liver disease3 (5.5)7 (2.2)2.57 (0.64–10.26)0.181
Chronic kidney disease5 (9.1)10 (3.1)3.09 (1.01–9.42)0.0472.17 (0.51–9.24)0.294
Renal replacement therapy0 (0.0)3 (0.9)-0.999
Solid cancer11 (20.0)26 (8.2)2.82 (1.30–6.10)0.0093.18 (1.14–8.85)0.027
Hematologic malignancy1 (1.8)3 (0.9)1.95 (0.20–19.10)0.566
Immunosuppressant use6 (10.9)15 (4.7)2.48 (0.92–6.70)0.0730.75 (0.18–3.07)0.688
None16 (29.1)140 (43.9)0.53 (0.28–0.98)0.042
Initial symptoms
Loss of smell3 (5.5)17 (5.3)1.03 (0.29–3.62)0.970
Loss of taste2 (3.6)19 (6.0)0.60 (0.14–2.63)0.495
Cough35 (63.6)153 (48.0)1.90 (1.05–3.43)0.0341.60 (0.79–3.23)0.188
Dyspnea4 (7.3)16 (5.0)1.49 (0.48–4.62)0.495
None2 (3.6)45 (14.1)0.23 (0.05–0.98)0.046
Initial body temperature ≥ 38°C15 (27.3)45 (14.1)2.28 (1.17–4.47)0.0162.10 (0.86–5.13)0.103
Initial laboratory findings
Leukocytosis (WBC > 10,000/mm3)2 (1.9)6 (1.9)1.97 (0.39–10.01)0.414
Thrombocytopenia (platelet < 130,000/mm3)13 (23.6)37 (11.6)2.36 (1.16–4.80)0.0181.08 (0.44–2.67)0.864
Elevated LDH (> 300 U/L)21 (38.2)41 (12.9)4.19 (2.22–7.90)< 0.0012.99 (1.34–6.65)0.007
Elevated CRP (> 1 mg/dL)47 (85.5)167 (52.4)5.35 (2.45–11.68)< 0.0012.07 (0.82–5.22)0.123
Ct value (RdRp gene)18.4 (14.2–21.4)18.5 (14.7–23.6)0.98 (0.93–1.02)0.316
Chest X-ray abnormality48 (87.3)141 (44.2)8.66 (3.80–19.72)< 0.0013.41 (1.31–8.89)0.012

OR = odds ratio, CI = confidence interval, aOR = adjusted odds ratio, BMI = body mass index, NEWS = National Early Warning Score, SOFA = Sequential Organ Failure Assessment, CCI = Charlson comorbidity index, COPD = chronic obstructive pulmonary disease, WBC = white blood cell, LDH = lactate dehydrogenase, CRP = C-reactive protein, Ct = cyclic threshold, RdRp = RNA dependent RNA polymerase.

Table 5

Risk factors for severe progression among fully vaccinated coronavirus disease 2019 patients at admission

VariablesSevere progression (n = 13)Non-progression (n = 107)UnivariateMultivariate
OR (95% CI) P aOR (95% CI) P
Age, yr74 (72–80)67 (51–75)1.07 (1.01–1.14)0.0151.05 (0.98–1.11)0.163
Male8 (61.5)45 (42.1)2.20 (0.68–7.18)0.190
BMI23.1 (22.6–25.5)24.5 (22.0–27.2)0.90 (0.76–1.07)0.236
Diagnosis to admission, day1.0 (0.0–1.5)0.0 (0.0–1.0)0.98 (0.67–1.43)0.925
Symptom onset to admission, day2.0 (1.0–5.0)2.0 (1.0–4.0)0.99 (0.81–1.23)0.954
Initial severity
NEWS-21.0 (0.5–2.0)1.0 (0.0–1.0)1.25 (0.84–1.87)0.272
SOFA score0.0 (0.0–2.0)0.0 (0.0–1.0)1.50 (0.93–2.42)0.100
Vaccination status
Vaccination date to symptom onset, day71 (62–122)66 (43–119)1.01 (0.99–1.02)0.416
Underlying comorbidity
CCI4.0 (3.0–5.0)3.0 (1.0–4.0)1.34 (1.00–1.81)0.051
Hypertension7 (53.8)44 (41.1)1.67 (0.53–5.31)0.385
Diabetes mellitus4 (30.8)24 (22.4)1.54 (0.44–5.43)0.505
Chronic heart disease0 (0.0)5 (4.7)-0.999
Cerebrovascular disease0 (0.0)8 (7.5)-0.999
COPD1 (7.7)1 (0.9)8.83 (0.52–150.49)0.132
Asthma0 (0.0)4 (3.7)-0.999
Chronic liver disease0 (0.0)2 (1.9)-0.999
Chronic kidney disease3 (23.1)9 (8.4)3.27 (0.76–14.06)0.112
Renal replacement therapy0 (0.0)3 (2.8)-0.999
Solid cancer2 (15.4)12 (11.2)1.44 (0.28–7.29)0.660
Hematologic malignancy0 (0.0)2 (1.9)-0.999
Immunosuppressant use1 (7.7)7 (6.5)1.19 (0.14–10.52)0.875
None1 (7.7)25 (23.4)0.27 (0.03–2.21)0.224
Initial symptoms
Loss of smell0 (0.0)5 (4.7)-0.999
Loss of taste0 (0.0)6 (5.6)-0.999
Cough8 (61.5)41 (38.3)2.58 (0.79–8.41)0.117
Dyspnea0 (0.0)2 (1.9)-0.999
None1 (7.7)2 (19.6)0.34 (0.04–2.77)0.315
Initial body temperature ≥ 38°C2 (15.4)9 (8.4)1.98 (0.38–10.35)0.418
Initial laboratory findings
Leukocytosis (WBC > 10,000/mm3)1 (7.7)6 (5.6)1.40 (0.16–12.66)0.763
Thrombocytopenia (platelet < 130,000/mm3)3 (23.1)6 (5.6)5.05 (1.09–23.34)0.0383.34 (0.54–20.75)0.195
Elevated LDH (> 300 U/L)2 (15.4)5 (4.7)3.71 (0.64–21.43)0.143
Elevated CRP (> 1 mg/dL)12 (92.3)52 (48.6)12.69 (1.59–101.08)0.016
Ct value (RdRp gene)18.4 (13.2–21.1)18.3 (15.0–23.4)0.96 (0.87–1.06)0.422
Chest X-ray abnormality12 (92.3)32 (29.9)28.13 (3.51–225.48)0.00220.16 (2.43–167.66)0.005

OR = odds ratio, CI = confidence interval, aOR = adjusted odds ratio, BMI = body mass index, NEWS = National Early Warning Score, SOFA = Sequential Organ Failure Assessment, CCI = Charlson comorbidity index, COPD = chronic obstructive pulmonary disease, WBC = white blood cell, LDH = lactate dehydrogenase, CRP = C-reactive protein, Ct = cyclic threshold, RdRp = RNA dependent RNA polymerase.

OR = odds ratio, CI = confidence interval, aOR = adjusted odds ratio, BMI = body mass index, NEWS = National Early Warning Score, SOFA = Sequential Organ Failure Assessment, CCI = Charlson comorbidity index, COPD = chronic obstructive pulmonary disease, WBC = white blood cell, LDH = lactate dehydrogenase, CRP = C-reactive protein, Ct = cyclic threshold, RdRp = RNA dependent RNA polymerase. OR = odds ratio, CI = confidence interval, aOR = adjusted odds ratio, BMI = body mass index, NEWS = National Early Warning Score, SOFA = Sequential Organ Failure Assessment, CCI = Charlson comorbidity index, COPD = chronic obstructive pulmonary disease, WBC = white blood cell, LDH = lactate dehydrogenase, CRP = C-reactive protein, Ct = cyclic threshold, RdRp = RNA dependent RNA polymerase.

DISCUSSION

During the study period, the national policy of Korea was to isolate most COVID-19 patients in residential treatment centers that mainly provided daily living support with minimum medical care for 10 days. Patients with high risk factors for severe progression or complication, or symptomatic patients who required further medical care were admitted or transferred to dedicated hospitals such as our study hospital. In addition, COVID-19 vaccination in Korea was first made available to the high-risk group, which included elderly individuals. Although the percentage of fully vaccinated individuals in the national population ≥ 18 years of age was 54.2%, it differed markedly in different age groups. The percentages of fully vaccinated individuals over 80, 70–79, and 60–69 years of age were 79.8%, 89.6%, and 87.6%, respectively, but among individuals 50–59, 40-49, 30–39, and 18–29 years of age, the percentages were 58.4%, 32.2%, 36.1% and 32.5%, as of 28 September 2021. Our results showed that the hospitalized COVID-19 patients in our study had characteristics in accordance with the national admission guidelines for COVID-19 patients. The vaccinated patients were older, had more comorbidities and were admitted to the hospital as early as possible in the fear that their condition might worsen. This might result in lower clinical severity at admission among these patients. In contrast, the unvaccinated patients were largely younger, had fewer comorbidities and were admitted to the hospital later in the clinical course of the disease due to severe manifestations that were not prevented by vaccination. We did not intend to compare the individual study subjects, vaccinated and unvaccinated directly; instead, we wanted to describe the type of COVID-19 patients we would expect to see in the hospital after the peak of the pandemic eased down. Although the composition of study subjects can be directly attributed to the national policy for allocation of COVID-19 patients, the scenario may be similar in real-world practice in the near future or might exist in other regions of the globe due to the existence of different policies for pandemic control in different countries. The proportion of patients who required supplemental oxygen was higher in the unvaccinated group than in the vaccinated group. Considering the older age of the vaccinated group and the higher proportion of comorbidities in that group, the fact that a lower proportion of patients in the vaccinated group needed oxygen therapy might be due to the effect of vaccination. Among unvaccinated and fully vaccinated patients without initial oxygen demand, the proportions of patients with severe progression were 20.3% (31/153) and 10.8% (13/120), respectively. One study conducted in Korea during the early COVID-19 pandemic showed that 11.7% (16/136) of unvaccinated patients experienced clinical aggravation with a need for oxygen treatment during the clinical course of the disease.11 As the delta variant was the predominant strain at the time of our study (September–October 2021),1213 the higher rate of progression observed in our study might be partially due to the virulence of the delta variant. Compared to the fully vaccinated patients, the proportion of unvaccinated patients who experienced severe progression was higher. Previous studies have shown that COVID-19 vaccination significantly prevents severe outcomes and reduces the length of hospitalization in high-risk groups.1415 The results of our study suggest that a considerable proportion of younger COVID-19 patients with few comorbidities experience high degree of clinical severity and have a need for oxygen therapy in real practice. Fortunately, the oxygen therapy rarely requires invasive ventilation. However, in resource limited settings, even the failure of simple oxygen therapy may lead to a fatal outcome. Treatment with remdesivir or dexamethasone was associated with severe cases of the disease. Interestingly, the use of antibacterial agents was also higher in the unvaccinated group, despite the assumption that the older group with multiple comorbidities might require more antibiotics to cope with complications of the disease. This somewhat unexpected result might be due to the higher clinical severity of the unvaccinated group and may indirectly reflect the tendency to inappropriately prescribe antibiotics for patients with COVID-19 who show severe symptoms, such as high fever, dyspnea, chest X-ray abnormalities and hypoxemia, not exactly based on the bacterial complications.1617 Regarding the laboratory findings, an elevated level of LDH at presentation was a predictor of severe progression. One previous study showed that elevated LDH levels during 6–10 days after the onset of illness were associated with clinical aggravation.11 Abnormal baseline chest X-ray finding was also reported to be a risk factor for oxygen requirement.18 In this study, chest X-ray abnormalities at the initial presentation were a risk factor for severe progression among unvaccinated and vaccinated patients, and also in fully vaccinated patients. Therefore, several important predictors of severe progression that were identified in unvaccinated patients during the early part of the COVID-19 pandemic still appear to be risk factors for severe progression, even under the influence of vaccination and change of dominant variant strain. Although a previous study reported the occurrence of breakthrough infections in fully vaccinated patients,19 the clinical characteristics and outcomes of vaccine breakthrough infections have not been systematically compared with those of infections in unvaccinated patients. Breakthrough COVID-19 infection in vaccinated people is also important from both the clinical and the pathophysiological perspectives. As expected based on studies that showed vaccine efficacy in preventing severe COVID-19,23 vaccination was the only protective factor for severe progression among patients with breakthrough infection and unvaccinated patients. As this study was conducted among hospitalized patients, the results may help clinicians manage patients with the potential of severe progression in hospital settings. As the chest X-ray abnormality was the only risk factor for clinical progression among fully vaccinated patients, it would be necessary to check the chest X-rays early during the patient’s hospitalization and monitor clinical progression more carefully for the patients with initial chest X-ray abnormalities. This study has several limitations. First, because it was conducted retrospectively at a single center, the generalization of the results may be limited. Second, the number of fully vaccinated patients with severe progression was relatively small. Third, we did not perform virologic analysis of concurrent SARS-CoV-2 variants. However, the likelihood of bias due to the variants may be minimal because most of the study patients were believed to be infected with the delta variant, considering the fact that the dominant viral population in Korea during the study period was the delta variant. Although our results may not be precisely applicable to other variants, the clinical framework could be extrapolated similarly. In conclusion, we described the clinical features of unvaccinated and vaccinated COVID-19 patients in a hospitalized setting. The only protective factor for severe progression was the vaccination at least once. Among fully vaccinated patients, the chest X-ray abnormality was a predictor for severe progression. In a COVID-19 practice of hospitalized setting, vaccination should be an initial checkpoint for triage and chest X-ray may be helpful in predicting progression.
  17 in total

1.  A new method of classifying prognostic comorbidity in longitudinal studies: development and validation.

Authors:  M E Charlson; P Pompei; K L Ales; C R MacKenzie
Journal:  J Chronic Dis       Date:  1987

2.  Association Between mRNA Vaccination and COVID-19 Hospitalization and Disease Severity.

Authors:  Mark W Tenforde; Wesley H Self; Katherine Adams; Manjusha Gaglani; Adit A Ginde; Tresa McNeal; Shekhar Ghamande; David J Douin; H Keipp Talbot; Jonathan D Casey; Nicholas M Mohr; Anne Zepeski; Nathan I Shapiro; Kevin W Gibbs; D Clark Files; David N Hager; Arber Shehu; Matthew E Prekker; Heidi L Erickson; Matthew C Exline; Michelle N Gong; Amira Mohamed; Daniel J Henning; Jay S Steingrub; Ithan D Peltan; Samuel M Brown; Emily T Martin; Arnold S Monto; Akram Khan; Catherine L Hough; Laurence W Busse; Caitlin C Ten Lohuis; Abhijit Duggal; Jennifer G Wilson; Alexandra June Gordon; Nida Qadir; Steven Y Chang; Christopher Mallow; Carolina Rivas; Hilary M Babcock; Jennie H Kwon; Natasha Halasa; James D Chappell; Adam S Lauring; Carlos G Grijalva; Todd W Rice; Ian D Jones; William B Stubblefield; Adrienne Baughman; Kelsey N Womack; Jillian P Rhoads; Christopher J Lindsell; Kimberly W Hart; Yuwei Zhu; Samantha M Olson; Miwako Kobayashi; Jennifer R Verani; Manish M Patel
Journal:  JAMA       Date:  2021-11-23       Impact factor: 157.335

3.  Nosocomial Outbreak by Delta Variant From a Fully Vaccinated Patient.

Authors:  Jiwon Jung; Jungmin Lee; Heedo Park; Young-Ju Lim; Eun Ok Kim; Man-Seong Park; Sung-Han Kim
Journal:  J Korean Med Sci       Date:  2022-05-02       Impact factor: 5.354

Review 4.  The SOFA score-development, utility and challenges of accurate assessment in clinical trials.

Authors:  Simon Lambden; Pierre Francois Laterre; Mitchell M Levy; Bruno Francois
Journal:  Crit Care       Date:  2019-11-27       Impact factor: 9.097

5.  A call for antimicrobial stewardship in patients with COVID-19: a nationwide cohort study in Korea.

Authors:  Dong Hoon Shin; Minsun Kang; Kyoung-Ho Song; Jaehun Jung; Eu Suk Kim; Hong Bin Kim
Journal:  Clin Microbiol Infect       Date:  2020-10-31       Impact factor: 8.067

6.  An Outbreak of Breakthrough Infections by the SARS-CoV-2 Delta Variant in a Psychiatric Closed Ward.

Authors:  Yu Mi Wi; Si-Ho Kim; Kyong Ran Peck
Journal:  J Korean Med Sci       Date:  2022-01-24       Impact factor: 2.153

7.  Effectiveness of Covid-19 Vaccines over a 9-Month Period in North Carolina.

Authors:  Dan-Yu Lin; Yu Gu; Bradford Wheeler; Hayley Young; Shannon Holloway; Shadia-Khan Sunny; Zack Moore; Donglin Zeng
Journal:  N Engl J Med       Date:  2022-01-12       Impact factor: 176.079

8.  Clinical Characteristics of COVID-19: Clinical Dynamics of Mild Severe Acute Respiratory Syndrome Coronavirus 2 Infection Detected by Early Active Surveillance.

Authors:  Hyeon Jeong Suh; Deok Hee Kim; Eun Young Heo; Hyun Woo Lee; Jung Kyu Lee; Chang Seop Lee; Mijeong Kim; Yong Duk Jeon; Jin Won Chung; Young Keun Kim; Pyo Jin Shin; Mi Suk Lee; Jin Suk Kang; Myung Jin Lee; Baek Nam Kim; Sang Won Park
Journal:  J Korean Med Sci       Date:  2020-08-17       Impact factor: 2.153

9.  Recommendations for antibacterial therapy in adults with COVID-19 - an evidence based guideline.

Authors:  Elske Sieswerda; Mark G J de Boer; Marc M J Bonten; Wim G Boersma; René E Jonkers; Roel M Aleva; Bart-Jan Kullberg; Jeroen A Schouten; Ewoudt M W van de Garde; Theo J Verheij; Menno M van der Eerden; Jan M Prins; W Joost Wiersinga
Journal:  Clin Microbiol Infect       Date:  2020-10-01       Impact factor: 8.067

10.  Effectiveness of Covid-19 Vaccines against the B.1.617.2 (Delta) Variant.

Authors:  Jamie Lopez Bernal; Nick Andrews; Charlotte Gower; Eileen Gallagher; Ruth Simmons; Simon Thelwall; Julia Stowe; Elise Tessier; Natalie Groves; Gavin Dabrera; Richard Myers; Colin N J Campbell; Gayatri Amirthalingam; Matt Edmunds; Maria Zambon; Kevin E Brown; Susan Hopkins; Meera Chand; Mary Ramsay
Journal:  N Engl J Med       Date:  2021-07-21       Impact factor: 91.245

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