Jong Eun Lee1, Minhee Hwang1, Yun-Hyeon Kim1, Myung Jin Chung1, Byeong Hak Sim1, Kum Ju Chae1, Jin Young Yoo1, Yeon Joo Jeong1. 1. From the Department of Radiology, Chonnam National University Hospital, Gwangju, Korea (J.E.L., Y.H.K.); Department of Radiology and Biomedical Research Institute, Pusan National University Hospital, 179 Gudeok-ro, Seo-gu, Busan 49241, Korea (M.H., Y.J.J.); Department of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea (M.J.C.); Department of Radiology, Namwon Medical Center, Namwon, Korea (B.H.S.); Department of Radiology, Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Korea (K.J.C.); and Department of Radiology, Chungbuk National University Hospital, Cheongju, Korea (J.Y.Y.).
Vaccinated patients with COVID-19 breakthrough infections showed fewer chest CT
findings of pneumonia compared with unvaccinated patients.■ Of 761 hospitalized patients with COVID-19, 77% (587 of 761)
were unvaccinated, while 6% (47 of 761) were fully vaccinated
(breakthrough infection).■ The initial chest radiograph showed no pneumonia in 75% of fully
vaccinated patients (breakthrough infection) and 63% of unvaccinated
patients (P = .37).■ In 412 patients who underwent chest CT examination during
hospitalization, no pneumonia was seen in 59% of fully vaccinated
patients (breakthrough infection) and 22% of unvaccinated patients
(P < .001).
Introduction
The first patient with COVID-19 disease was reported at the end of 2019. The number
of confirmed cases worldwide now exceeds 270 million, with an overall mortality rate
of approximately 2.0% (1). COVID-19 vaccines
are effective and critical tools for bringing the pandemic under control. To date,
56% of the world’s population has received at least one dose of a COVID-19
vaccine (2). However, vaccines are not 100%
effective at preventing illness. Breakthrough infections are defined as the
detection of SARS-CoV-2 RNA or antigen in a respiratory specimen collected from a
person at least 14 days after receiving all recommended doses of COVID-19 vaccines
(3).Although the risk of infection is much lower among vaccinated individuals and
vaccination reduces the severity of illness (4–6), to our knowledge,
clinical and imaging data of COVID-19 breakthrough infections have not been reported
in detail. The purpose of this study was to document the clinical and imaging
features of patients with COVID-19 breakthrough infections and compare them with
those of infections in unvaccinated patients. In addition, we analyzed the initial
imaging and clinical findings of fully, partially, and unvaccinated patients to
determine the relationship of vaccination status with clinical severity.
Materials and Methods
Study Design and Population
The first COVID-19 vaccination was administered in the Republic of Korea on
February 26, 2021, and the large-scale vaccination of high-risk groups, which
included individuals who were 65 years or older, those with disability, or
health care workers, began in May (7). As
most records of in-patient vaccination history were from June 2021, this study
included patients with breakthrough infections registered from June 1 to August
31, 2021.This multicenter study was composed of three centers (center 1,
n = 308; center 2, n = 232; and center 3,
n = 221) registered in the Korean Imaging Cohort for
COVID-19 database, a nationwide open data repository (8). Patients with asymptomatic or mild symptoms were
hospitalized in center 1, whereas centers 2 and 3 were main referral centers for
patients with COVID-19 with severe symptoms. Consecutive adult patients aged 18
years or older who had been hospitalized for COVID-19 as confirmed by means of
real-time reverse transcriptase polymerase chain reaction (RT-PCR) testing per
the guidelines for COVID-19 treatment in our country were included (Fig 1). According to these guidelines, all
confirmed patients were isolated even if they had no symptoms and hospitalized
at a community treatment center or hospital depending on the presence or
severity of symptoms. If the patient was asymptomatic 10 days after the initial
diagnosis, or if the RT-PCR tests performed at 24-hour intervals were negative
at least twice, the patient could be discharged. To be included in this study,
patients were required to have undergone at least one chest radiographic
(posteroanterior or anteroposterior view) or CT examination during
hospitalization. The study was approved by the institutional review board of the
participating institution (2111–027–109), which waived the
requirement for informed consent due to the retrospective nature of the
study.
Figure 1:
Study flow diagram. KICC-19 = Korean Imaging Cohort for COVID-19, RT-PCR
= reverse transcriptase polymerase chain reaction.
Study flow diagram. KICC-19 = Korean Imaging Cohort for COVID-19, RT-PCR
= reverse transcriptase polymerase chain reaction.
Study Definitions
Patients were categorized as unvaccinated, partially vaccinated, or fully
vaccinated. Unvaccinated individuals were defined as having a positive COVID-19
RT-PCR test result with no record of vaccination against COVID-19, or as being
diagnosed with COVID-19 less than 14 days after receipt of the first vaccine
dose. Partially vaccinated individuals were defined as having a positive
COVID-19 RT-PCR test result at least 14 days after receipt of the first vaccine
dose and before receipt of the second dose with the ChAdOx1 nCoV-19 vaccine
(AstraZeneca), BNT162b2 vaccine (Pfizer–BioNTech), or mRNA-1273 vaccine
(Moderna). Fully vaccinated individuals were defined as having a positive
COVID-19 RT-PCR test result at least 14 days after receipt of the second vaccine
dose or at least 14 days after receipt of the first dose of the Ad26.COV2.S
vaccine (Johnson & Johnson–Janssen).
Data Collection
Demographic characteristics (age and sex), comorbidities (hypertension, diabetes,
cardiovascular disease, and cancer), clinical symptoms (fever, cough, sputum,
dyspnea, myalgia, sore throat, and sensory loss), initial laboratory findings,
and clinical outcomes were evaluated using the cloud-based data storage platform
of the Korean Imaging Cohort for COVID-19. Initial laboratory findings included
white blood cell, lymphocyte, and platelet counts as well as lactate
dehydrogenase (LDH) and C-reactive protein (CRP) levels. Leukocytosis was
defined as a white blood cell count of greater than 10 000/μL.
Lymphocytopenia was defined as a lymphocyte count of less than 1500/μL.
Thrombocytopenia was defined as a platelet count of less than
150 000/μL. The predefined clinical thresholds for LDH and CRP
elevation were 50 mg/L and 250 U/L, respectively. Clinical outcomes were receipt
of supplemental oxygen and mechanical ventilation, intensive care unit (ICU)
admission, and in-hospital death.Chest radiographs and CT scans of each patient obtained during hospitalization
were acquired from the cloud-based data storage platform. The initial chest
radiograph and CT scan were defined as those obtained at admission or within a
week of symptom onset. Follow-up chest radiographs were obtained every 2 or 3
days until discharge. An initial chest radiograph was obtained in all patients
for all three cohorts. An initial chest CT scan was obtained in all patients at
center 1 (n = 308) and some patients at center 2
(n = 101) and center 3 (n = 3).
Image Analysis
Two radiologists (J.E.L. and Y.J.J., with 7 and 19 years of experience,
respectively), unaware of patient clinical information, reviewed all images and
reached conclusions by consensus in cases of interreader discrepancies.
Pneumonia extent on initial and all follow-up chest radiographs, and pneumonia
extent and patterns on initial and follow-up CT scans, were analyzed. Pneumonia
extent in entire lung zones on chest radiographs and CT scans was scored from 0
to 2 (score 0: no evidence of pneumonia, score 1: 1%–25% involvement, and
score 2: >25% involvement), which were based on a study predicting the
severity of COVID-19 (9) (Fig 2). Pneumonia patterns on CT images
were categorized as typical, indeterminate, atypical, or negative based on the
RSNA Expert Consensus Statement (10).
Peripheral bilateral ground-glass opacities (GGOs) or multifocal round GGOs,
with or without consolidation or intralobular lines, or a reverse halo sign were
considered as a typical appearance. An indeterminate appearance was defined as
presence of GGOs with or without consolidation, but absence of typical features.
An atypical appearance was defined as absence of typical or indeterminate
features with presence of lobar and/or segmental consolidation without GGOs,
discrete centrilobular nodules, lung cavitation, or smooth interlobular septal
thickening with pleural effusion.
Figure 2:
Representative cases showing pneumonia extents and patterns on chest
radiographs and CT images. (A, B) Images in a 65-year-old
woman with a breakthrough infection 2 months after a second dose of the
BNT162b2 vaccine (fully vaccinated). The patient had a history of
hypertension. (A) Chest radiograph obtained at admission
shows no abnormal opacification in either lung. The chest radiograph
extent of pneumonia was scored as 0 (no evidence of pneumonia).
(B) Axial chest CT image at the lower lobe level
(obtained on the same day) is negative for pneumonia; the extent of
pneumonia at CT was scored as 0 (no evidence of pneumonia). (C,
D) Images in a 48-year-old man 1 month after a first dose of
the ChAdOx1 nCoV-19 vaccine (partially vaccinated). The patient had no
history of comorbidity. (C) Chest radiograph obtained at
admission shows no abnormal opacification in either lung. The chest
radiograph extent of pneumonia was scored as 0 (no evidence of
pneumonia). (D) Axial chest CT image obtained on the same
day shows unilateral ground-glass opacity with a nonrounded morphologic
feature in the left lower lobe (arrows). The extent of pneumonia at CT
was scored as 1 (1%–25% involvement) and this case was classified
as an indeterminate appearance of COVID-19 according to the RSNA chest
CT classification system. (E, F) Images in a 36-year-old
man with no history of vaccination for COVID-19 and no history of
comorbidity. (E) Chest radiograph obtained at admission
shows no abnormal opacification in either lung. The chest radiograph
extent of pneumonia was scored as 0 (no evidence of pneumonia).
(F) Axial chest CT image obtained on the same day shows
unilateral ground-glass opacity with a nonrounded morphologic feature
and nonperipheral distribution in the left upper lobe (arrows). The
extent of pneumonia at CT was scored as 1 (1%–25% involvement),
and this case was classified as an indeterminate appearance of COVID-19
according to the RSNA chest CT classification system. (G,
H) Images in a 58-year-old man with no history of COVID-19
vaccination and a history of hypertension and diabetes. He required
supplemental oxygen on admission and was admitted to the intensive care
unit 1 day later. (G) Chest radiograph at admission shows
patchy ground-glass opacities in the middle to lower zones of both
lungs. The chest radiograph extent of pneumonia was scored as 2
(>25% involvement). (H) Axial chest CT image
obtained on the same day shows multifocal ground-glass opacities with a
crazy-paving appearance in bilateral lungs. The extent of pneumonia at
CT was scored as 2 (>25% involvement) and was classified as a
typical appearance of COVID-19 according to the RSNA chest CT
classification system.
Representative cases showing pneumonia extents and patterns on chest
radiographs and CT images. (A, B) Images in a 65-year-old
woman with a breakthrough infection 2 months after a second dose of the
BNT162b2 vaccine (fully vaccinated). The patient had a history of
hypertension. (A) Chest radiograph obtained at admission
shows no abnormal opacification in either lung. The chest radiograph
extent of pneumonia was scored as 0 (no evidence of pneumonia).
(B) Axial chest CT image at the lower lobe level
(obtained on the same day) is negative for pneumonia; the extent of
pneumonia at CT was scored as 0 (no evidence of pneumonia). (C,
D) Images in a 48-year-old man 1 month after a first dose of
the ChAdOx1 nCoV-19 vaccine (partially vaccinated). The patient had no
history of comorbidity. (C) Chest radiograph obtained at
admission shows no abnormal opacification in either lung. The chest
radiograph extent of pneumonia was scored as 0 (no evidence of
pneumonia). (D) Axial chest CT image obtained on the same
day shows unilateral ground-glass opacity with a nonrounded morphologic
feature in the left lower lobe (arrows). The extent of pneumonia at CT
was scored as 1 (1%–25% involvement) and this case was classified
as an indeterminate appearance of COVID-19 according to the RSNA chest
CT classification system. (E, F) Images in a 36-year-old
man with no history of vaccination for COVID-19 and no history of
comorbidity. (E) Chest radiograph obtained at admission
shows no abnormal opacification in either lung. The chest radiograph
extent of pneumonia was scored as 0 (no evidence of pneumonia).
(F) Axial chest CT image obtained on the same day shows
unilateral ground-glass opacity with a nonrounded morphologic feature
and nonperipheral distribution in the left upper lobe (arrows). The
extent of pneumonia at CT was scored as 1 (1%–25% involvement),
and this case was classified as an indeterminate appearance of COVID-19
according to the RSNA chest CT classification system. (G,
H) Images in a 58-year-old man with no history of COVID-19
vaccination and a history of hypertension and diabetes. He required
supplemental oxygen on admission and was admitted to the intensive care
unit 1 day later. (G) Chest radiograph at admission shows
patchy ground-glass opacities in the middle to lower zones of both
lungs. The chest radiograph extent of pneumonia was scored as 2
(>25% involvement). (H) Axial chest CT image
obtained on the same day shows multifocal ground-glass opacities with a
crazy-paving appearance in bilateral lungs. The extent of pneumonia at
CT was scored as 2 (>25% involvement) and was classified as a
typical appearance of COVID-19 according to the RSNA chest CT
classification system.
Statistical Analysis
Statistical analysis was performed using SPSS Statistics version 23.0 (IBM).
Categorical variables are presented as numbers and percentages and continuous
variables as means and SDs. Statistical assessment of differences between groups
was determined using the Pearson χ2 test or Fisher exact test
for categorical variables (sex, smoking history, comorbidities, symptoms,
initial laboratory findings, three-point scales of chest radiograph and CT
scores, and clinical outcomes) and with analysis of variance for continuous
variables (age and hospital length of stay). Post hoc analysis was performed
using the Bonferroni method. Bonferroni-adjusted P values were
determined by multiplying the raw P values by the number of
comparisons. Univariable and multivariable logistic regression were used to
evaluate associations between clinical factors (including vaccination status)
and clinical outcomes. P < .05 was considered indicative
of a statistically significant difference.
Results
Demographic and Clinical Characteristics of the Patients
The demographic and baseline clinical characteristics of the 761 patients who met
the inclusion criteria are presented in Table
1. The mean patient age was 47 years (IQR, 33–59 years); 385
of the 761 patients (51%) were women and 376 (49%) were men. Of all 761
patients, 503 (66%) had a history of contact with infected patients, 36 (5%) had
visited an epidemic area, and 22 (3%) had international exposure. In 200 of the
761 patients (26%), the exposure history was unknown. Regarding smoking status,
155 of the 761 patients (20%) had a smoking history and the remaining 606 (80%)
were never smokers. Moreover, 253 patients (33%) had at least one of the
following comorbidities: hypertension, diabetes, cardiovascular disease, or
cancer. Regarding symptoms, 698 patients (92%) had at least one of the
following: fever, cough, sputum, dyspnea, myalgia, sore throat, sensory loss,
nausea, or vomiting. The remaining 63 patients (8%) were asymptomatic.
Table 1:
Demographic and Clinical Characteristics of Patients at the Three Study
Centers
Demographic and Clinical Characteristics of Patients at the Three Study
Centers
Vaccination Status and Breakthrough Infections
Of the 761 patients, 587 (77%) were unvaccinated at the time of diagnosis, 127
(17%) were partially vaccinated, and 47 (6%) were fully vaccinated (had a
breakthrough infection). The mean time between final vaccination and diagnosis
was 46 days ± 26 (SD). Among the 174 vaccinated patients, 120 (69%)
received the ChAdOx1 nCoV-19 vaccine, 42 (24%) received the BNT162b2 vaccine,
seven (4%) received the Ad26.COV2.S vaccine, and five (3%) received the
mRNA-1273 vaccine. Of the 47 patients with breakthrough infections, 22 (47%)
received the ChAdOx1 nCoV-19 vaccine, 18 (38%) received the BNT162b2 vaccine,
and seven (15%) received the Ad26.COV2.S vaccine. Details of patient
characteristics and vaccine efficacy according to each vaccine type are
summarized in Tables E1
and E2 (online).
Clinical Characteristics and Outcomes according to Vaccination Status
Baseline clinical characteristics and outcomes according to vaccination status
are presented in Table 2. The mean age
was higher in the fully vaccinated (65 years ± 18) and partially
vaccinated (59 years ± 14) groups than in the unvaccinated group (43
years ± 15) (P < .001). The percentages of
patients with at least one comorbidity were higher in the fully (55%, 26 of 47
patients) and partially (58%, 73 of 127 patients) vaccinated groups than in the
unvaccinated group (26%, 154 of 587 patients) (P <
.001). The percentage of asymptomatic patients at admission was higher in the
fully vaccinated group (21%, 10 of 47 patients) than in the unvaccinated group
(7%, 42 of 587 patients) (P = .003). The percentages of
patients with leukocytosis, lymphocytopenia, thrombocytopenia, an elevated LDH
level, and an elevated CRP level were not significantly different between the
three groups. The mean hospital length of stay was similar in the three groups.
The most common clinical outcome among patients was the need for supplemental
oxygen, and the proportions of patients who required supplemental oxygen were
not significantly different among the three groups. Only patients in the
unvaccinated group received mechanical ventilation or died in the hospital, but
differences were not significant.
Table 2:
Clinical Characteristics and Outcomes of Patients with COVID-19 according
to Vaccination Status
Clinical Characteristics and Outcomes of Patients with COVID-19 according
to Vaccination Status
Proportions of Chest Radiograph Scores according to Vaccination
Status
All 761 patients underwent initial chest radiography at admission, and 653
patients (86%) underwent at least one follow-up chest radiographic examination
during hospitalization. At initial chest radiography assessments, 63% (368 of
587) of unvaccinated patients, 62% (79 of 127) of partially vaccinated patients,
and 75% (35 of 47) of fully vaccinated patients had negative chest radiographs
(score of 0) (Fig 3A). The proportion of
patients with an initially negative chest radiograph was higher in the fully
vaccinated group, but this was not statistically significant (Fig 3A). Additionally, 23% (136 of 587) of
unvaccinated patients, 24% (30 of 127) of partially vaccinated patients, and 21%
(10 of 47) of fully vaccinated patients had a chest radiograph score of 1, while
14% (83 of 587) of unvaccinated patients, 14% (18 of 127) of partially
vaccinated patients, and 4% (two of 47) of fully vaccinated patients had a chest
radiograph score of 2.
Figure 3:
Bar graphs show (A) initial and (B) follow-up
chest radiograph scores in the 761 patients according to vaccination
status. (A) The proportion of patients with an initial
chest radiograph score of 0 was greater in the fully vaccinated group
than in the partially vaccinated or unvaccinated groups, but not
significantly so (P = .37). (B) The
proportion of patients with a chest radiograph score of 0 during
follow-up was also greatest in the fully vaccinated group, but not
significantly so (P = .78). CXR = chest radiograph.
Bar graphs show (A) initial and (B) follow-up
chest radiograph scores in the 761 patients according to vaccination
status. (A) The proportion of patients with an initial
chest radiograph score of 0 was greater in the fully vaccinated group
than in the partially vaccinated or unvaccinated groups, but not
significantly so (P = .37). (B) The
proportion of patients with a chest radiograph score of 0 during
follow-up was also greatest in the fully vaccinated group, but not
significantly so (P = .78). CXR = chest radiograph.During hospitalization, 54% (271 of 505) of unvaccinated patients, 53% (56 of
105) of partially vaccinated patients, and 65% (28 of 43) of fully vaccinated
patients had negative chest radiographs (Fig
3B). The proportion of patients with normal chest radiograph findings
during follow-up was similar to that of the fully vaccinated group (Fig 3B). On follow-up images, 26% (132 of
505) of unvaccinated patients, 24% (25 of 105) of partially vaccinated patients,
and 21% (nine of 43) of fully vaccinated patients had a chest radiograph score
of 1 and 20% (102 of 505) of unvaccinated patients, 23% (24 of 105) of partially
vaccinated patients, and 14% (six of 43) of fully vaccinated patients had a
chest radiograph score of 2. The subgroup comparison of chest radiograph scores
for patients with pneumonia is summarized in Table
E3 (online). The factors associated with
severe pneumonia (initial chest radiograph score of 2) are summarized in
Table
E4 (online).
Proportions of Chest CT Scores and Patterns according to Vaccination
Status
Overall, 412 of the 761 patients (54%) underwent chest CT during hospitalization;
of these, 22% (71 of 326) of unvaccinated patients, 30% (19 of 64) of partially
vaccinated patients, and 59% (13 of 22) of fully vaccinated patients had
negative CT scans (Fig 4A). The
proportion of negative CT scans was higher in the fully vaccinated group than in
the unvaccinated group (Bonferroni-adjusted P < .001)
(Fig 4A). Additionally, 64% (209 of
326) of unvaccinated patients, 53% (34 of 64) of partially vaccinated patients,
and 32% (seven of 22) of fully vaccinated patients had a CT score of 1 and 14%
(46 of 326) of unvaccinated patients, 17% (11 of 64) of partially vaccinated
patients, and 9% (two of 22) of fully vaccinated patients had a CT score of 2.
Of the 412 patients who underwent chest CT, 309 (75%) were positive for
pneumonia, and the most common CT patterns observed in the three groups were
typical (72% [184 of 255] of unvaccinated, 60% [27 of 45] of partially
vaccinated, and 56% [five of nine] of fully vaccinated patients). Proportions of
CT patterns in the three study groups were not significantly different
(P = .22) (Fig 4B).
The subgroup comparison of CT scores for pneumonia-positive cases is summarized
in Table
E3 (online). The factors associated with
severe pneumonia (CT score of 2) are summarized in
Table
E5 (online).
Figure 4:
Bar graphs show (A) CT scores and (B) patterns
for the 412 patients who underwent chest CT during hospitalization
according to vaccination status. (A) The proportion of
patients with a CT score of 0 was significantly greater in the fully
vaccinated group than in the unvaccinated group (P
< .001). * = Bonferroni-adjusted P value,
which was determined by multiplying the raw P value by
3. (B) Among patients with pneumonia, CT patterns were not
significantly different between the groups (P =
.22).
Bar graphs show (A) CT scores and (B) patterns
for the 412 patients who underwent chest CT during hospitalization
according to vaccination status. (A) The proportion of
patients with a CT score of 0 was significantly greater in the fully
vaccinated group than in the unvaccinated group (P
< .001). * = Bonferroni-adjusted P value,
which was determined by multiplying the raw P value by
3. (B) Among patients with pneumonia, CT patterns were not
significantly different between the groups (P =
.22).At center 1 (n = 308), all patients underwent chest CT during
hospitalization; 27% (68 of 249) of unvaccinated patients, 39% (17 of 44) of
partially vaccinated patients, and 80% (12 of 15) of fully vaccinated patients
had negative CT scans during hospitalization. The proportion of negative CT
scans was higher for fully vaccinated patients than for partially vaccinated or
unvaccinated patients (Bonferroni-adjusted P = .04 and .01,
respectively) (Fig 5A). Additionally, 66%
(163 of 249) of unvaccinated patients, 57% (25 of 44) of partially vaccinated
patients, and 13% (two of 15) of fully vaccinated patients had a CT score of 1
and 7% (18 of 249) of unvaccinated patients, 4% (two of 44) of partially
vaccinated patients, and 7% (one of 15) of fully vaccinated patients had a CT
score of 2. Of the 308 patients, 211 (69%) were positive for pneumonia. The most
common CT patterns observed in the fully, partially, and unvaccinated groups
were typical, and no intergroup difference was observed (P =
.46) (Fig 5B).
Figure 5:
Bar graphs show CT scores and patterns of the 308 patients at center 1
according to vaccination status. At center 1, patients with asymptomatic
or mild symptoms were hospitalized and initial chest CT scans were
obtained in all patients. (A) The proportion of patients
with a CT score of 0 was significantly greater in the fully vaccinated
group than in the partially or unvaccinated groups (P =
.04 and .01, respectively). * = Bonferroni-adjusted
P value, which was determined by multiplying the
raw P value by 3. (B) Among patients with
pneumonia, CT patterns were not significantly different between the
groups (P = .46).
Bar graphs show CT scores and patterns of the 308 patients at center 1
according to vaccination status. At center 1, patients with asymptomatic
or mild symptoms were hospitalized and initial chest CT scans were
obtained in all patients. (A) The proportion of patients
with a CT score of 0 was significantly greater in the fully vaccinated
group than in the partially or unvaccinated groups (P =
.04 and .01, respectively). * = Bonferroni-adjusted
P value, which was determined by multiplying the
raw P value by 3. (B) Among patients with
pneumonia, CT patterns were not significantly different between the
groups (P = .46).
Factors Associated with the Need for Supplemental Oxygen
The unadjusted and adjusted odds ratios (ORs) for treatment with supplemental
oxygen are summarized in Table 3.
Adjusted multivariable analysis showed that fully vaccinated patients and
partially vaccinated patients had lower ORs for requiring supplemental oxygen
than unvaccinated patients (OR, 0.24 [95% CI: 0.09, 0.64; P =
.005] and 0.39 [95% CI: 0.21, 0.73; P = .003], respectively).
Older age, a history of diabetes, lymphocytopenia, thrombocytopenia, and
elevated LDH and CRP levels were also associated with the risk of requiring
supplemental oxygen.
Table 3:
Odds Ratios for Supplemental Oxygen (n = 139)
Odds Ratios for Supplemental Oxygen (n = 139)
Factors Associated with ICU Admission
Unadjusted and adjusted ORs for ICU admission are summarized in Table 4. Adjusted multivariable analysis
showed fully and partially vaccinated patients had significantly lower ORs for
ICU admission than unvaccinated patients (OR, 0.08 [95% CI: 0.09, 0.78;
P = .02] and 0.17 [95% CI: 0.04, 0.65; P =
.01], respectively). In addition, older age, a history of diabetes,
lymphocytopenia, and an elevated CRP level were associated with an increased
risk of ICU admission.
Table 4:
Odds Ratios for ICU Admission (n = 37)
Odds Ratios for ICU Admission (n = 37)
Discussion
We examined the clinical characteristics, imaging features, and clinical outcomes of
patients hospitalized for COVID-19 who had been fully, partially, or not vaccinated
in a multicenter cohort. Of the 761 patients, COVID-19 breakthrough infection was
observed in 47 (6%) and the percentage of asymptomatic patients during admission was
significantly higher in the fully vaccinated group (21%, 10 of 47) than in the
unvaccinated group (7%, 42 of 587). Additionally, compared with unvaccinated
patients (22%, 71 of 326), a higher percentage of fully vaccinated patients (59%, 13
of 22) had no pneumonia evidenced on CT scans (P < .001).
Multivariable analysis adjusted for demographic and clinical characteristics at
admission showed fully and partially vaccinated patients were at significantly lower
risk of requiring supplemental oxygen or intensive care unit admission.Reported incidences of COVID-19 breakthrough infections range from 0.4% to 9.5% and
depend on the vaccine type, time elapsed after vaccination, percentage of vaccinated
people, and viral variants (11–17). According to a report issued by the
Washington State Department of Health, the number of breakthrough infections
increased up to 30% of overall newly infected patients as the total number of
infected and vaccinated numbers increased (18). In the Republic of Korea, on August 31, 2021, the prevalence of
COVID-19 was 0.1%, the percentages of the Korean population partially or fully
vaccinated were 62% and 33%, respectively, and breakthrough infections accounted for
1.6% of all patients who tested positive for COVID-19 (19). As of December 12, 2021, the prevalence of COVID-19 in
Ontario, Canada, was approximately 0.5%, the fully vaccinated rate was 80%, and
breakthrough infections were reported in approximately 6.1% (20). Further research is needed to better understand the
incidence of COVID-19 breakthrough infections and to identify and understand the
contributing factors.Observed differences in clinical characteristics may reflect differences in
vaccination priorities according to underlying comorbidities. During the study
period from June to August 2021, high-risk groups, such as individuals 65 years and
older, those with disabilities, and health care workers, were priority targets for
COVID-19 vaccination in the Republic of Korea (21). Therefore, older patients and patients with at least one
comorbidity were more common in the vaccinated group than in the unvaccinated group
in our study. Despite these differences, mechanical ventilation and in-hospital
death only occurred in the unvaccinated group. Furthermore, after adjusting for
baseline clinical characteristics, multivariable analysis showed that fully
vaccinated patients were at significantly lower risk of requiring supplemental
oxygen and ICU admission than unvaccinated patients. Our findings concur with those
of recent studies on the relationship between vaccination and disease severity in
patients with COVID-19 (21–24). In addition, we analyzed imaging and
clinical findings of fully, partially, and unvaccinated patients to determine the
relationship of vaccination status with clinical severity, which was not
investigated in previous studies (21–24).The differences in the frequency of COVID-19–related pneumonia observed on CT
scans in the three study groups may explain disease severity differences during
hospitalization. In a study that examined clinical outcomes according to presence or
absence of pneumonia in symptomatic patients with COVID-19, Leonard-Lorant et al
(25) found that the clinical outcomes of
patients with COVID-19 who had an initially pneumonia-negative CT finding were
better than that of those with a positive finding. In addition, several previous
studies have reported that patients with extensive pneumonia on CT scans had a
poorer prognosis (26–28). In our study, the proportion of
pneumonia-negative CT scans during hospital stays was significantly greater for
fully vaccinated patients than unvaccinated patients. However, the proportion of
pneumonia-negative chest radiograph assessments were not significantly different in
the three study groups, which we attribute to the low negative predictive value of
chest radiographs in patients with COVID-19–related pneumonia (29). Our findings may suggest that vaccination
is negatively associated with the development of pneumonia in patients with
COVID-19. Given the steady increase in vaccination rates, the role of diagnostic
imaging in patients with suspected COVID-19 may need to be redefined.After adjusting demographic and clinical characteristics at admission, as well as
several laboratory biomarkers, fully or partially vaccinated patients were found to
be independently associated with lower risks of requiring supplemental oxygen or ICU
admission. However, hospital length of stay did not differ among the three groups as
most patients had mild symptoms and were discharged from the hospital approximately
10 days after the initial diagnosis, per the aforementioned treatment guidelines of
our country. We also observed associations between the risk of severe disease and
clinical characteristics such as older age, history of diabetes, lymphocytopenia,
thrombocytopenia, elevated LDH level, and elevated CRP level, which is in agreement
with previous studies (30,31). Notably, age is an important predictor of
severe disease in patients with COVID-19, even in those with a breakthrough
infection (32).Our study has several limitations that warrant mention. First, the number of patients
in each group was quite different, which may have introduced bias comparing group
characteristics. In addition, the sample size for the fully vaccinated group was
small. Second, all asymptomatic infections may have been underestimated because we
included only patients who presented at each center. Third, data on SARS-CoV-2
variants were not available and this may have confounded comparisons of clinical
features. Fourth, chest radiograph and CT pneumonia scores were obtained using a
three-point scale. Finally, our study cohort had a few factors that may make it
difficult to extrapolate to cohorts worldwide (the majority were immunized with a
non-mRNA vaccine, all patients were hospitalized). Notwithstanding these
limitations, our study provides comparative clinical and imaging characteristics of
COVID-19 breakthrough infections, which have not been clearly described in the
literature.In summary, patients with COVID-19 breakthrough infections had a higher proportion of
CT scans without pneumonia compared with unvaccinated patients, and vaccination
status was significantly associated with the need for supplemental oxygen and
intensive care unit admission. This study sheds light on the clinical effectiveness
of COVID-19 vaccination in the context of breakthrough infections.
Authors: Ezgi Hacisuleyman; Caryn Hale; Yuhki Saito; Nathalie E Blachere; Marissa Bergh; Erin G Conlon; Dennis J Schaefer-Babajew; Justin DaSilva; Frauke Muecksch; Christian Gaebler; Richard Lifton; Michel C Nussenzweig; Theodora Hatziioannou; Paul D Bieniasz; Robert B Darnell Journal: N Engl J Med Date: 2021-04-21 Impact factor: 91.245
Authors: Soon Ho Yoon; Soo Youn Ham; Bo Da Nam; Kum Ju Chae; Dabee Lee; Jin Young Yoo; So Hyeon Bak; Jin Young Kim; Jin Hwan Kim; Ki Beom Kim; Jung Im Jung; Jae Kwang Lim; Jong Eun Lee; Myung Jin Chung; Young Kyung Lee; Young Seon Kim; Ji Eun Jo; Sang Min Lee; Woocheol Kwon; Chang Min Park; Yun Hyeon Kim; Yeon Joo Jeong Journal: J Korean Med Sci Date: 2020-11-30 Impact factor: 2.153
Authors: Jerald Sadoff; Glenda Gray; An Vandebosch; Vicky Cárdenas; Georgi Shukarev; Beatriz Grinsztejn; Paul A Goepfert; Carla Truyers; Hein Fennema; Bart Spiessens; Kim Offergeld; Gert Scheper; Kimberly L Taylor; Merlin L Robb; John Treanor; Dan H Barouch; Jeffrey Stoddard; Martin F Ryser; Mary A Marovich; Kathleen M Neuzil; Lawrence Corey; Nancy Cauwenberghs; Tamzin Tanner; Karin Hardt; Javier Ruiz-Guiñazú; Mathieu Le Gars; Hanneke Schuitemaker; Johan Van Hoof; Frank Struyf; Macaya Douoguih Journal: N Engl J Med Date: 2021-04-21 Impact factor: 176.079
Authors: Ann R Falsey; Magdalena E Sobieszczyk; Ian Hirsch; Stephanie Sproule; Merlin L Robb; Lawrence Corey; Kathleen M Neuzil; William Hahn; Julie Hunt; Mark J Mulligan; Charlene McEvoy; Edwin DeJesus; Michael Hassman; Susan J Little; Barbara A Pahud; Anna Durbin; Paul Pickrell; Eric S Daar; Larry Bush; Joel Solis; Quito Osuna Carr; Temitope Oyedele; Susan Buchbinder; Jessica Cowden; Sergio L Vargas; Alfredo Guerreros Benavides; Robert Call; Michael C Keefer; Beth D Kirkpatrick; John Pullman; Tina Tong; Margaret Brewinski Isaacs; David Benkeser; Holly E Janes; Martha C Nason; Justin A Green; Elizabeth J Kelly; Jill Maaske; Nancy Mueller; Kathryn Shoemaker; Therese Takas; Richard P Marshall; Menelas N Pangalos; Tonya Villafana; Antonio Gonzalez-Lopez Journal: N Engl J Med Date: 2021-09-29 Impact factor: 176.079
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Authors: Marco Francone; Franco Iafrate; Giorgio Maria Masci; Simona Coco; Francesco Cilia; Lucia Manganaro; Valeria Panebianco; Chiara Andreoli; Maria Chiara Colaiacomo; Maria Antonella Zingaropoli; Maria Rosa Ciardi; Claudio Maria Mastroianni; Francesco Pugliese; Francesco Alessandri; Ombretta Turriziani; Paolo Ricci; Carlo Catalano Journal: Eur Radiol Date: 2020-07-04 Impact factor: 5.315
Authors: Maria T Tsakok; Robert A Watson; David W Eyre; Fergus Gleeson; Shyamal J Saujani; Mark Kong; Cheng Xie; Heiko Peschl; Louise Wing; Fiona K MacLeod; Brian Shine; Nick P Talbot; Rachel E Benamore Journal: Radiology Date: 2022-06-21 Impact factor: 29.146