Comparison of the Clinical and Laboratory Findings and Outcomes of Hospitalized COVID-19 Patients Who Were Either Fully Vaccinated with Coronavac or Not: An Analytical, Cross Sectional Study
by
, , , , ,
Serap Şimşek Yavuz
1,*
,
Gülşah Tunçer
2,
Özlem Altuntaş-Aydın
3,
Mehtap Aydın
4,
Filiz Pehlivanoğlu
2,
Yeşim Tok
5,
Sevim Mese
6,
Alper Gündüz
3,
Ceyda Geyiktepe Güçlü
2,
İklima Özdoğan
4,
Börçe Hemiş-Aydın
1,
Pınar Soğuksu
6,
Aysun Benli
1,
Seniha Başaran
1,
Kenan Midilli
5 and
Haluk Eraksoy
1 1
Department of Infectious Disease and Clinical Microbiology, İstanbul Faculty of Medicine, İstanbul University, İstanbul 34093, Turkey
2
Department of Infectious Diseases and Clinical Microbiology, Haseki Training and Research Hospital, İstanbul 34093, Turkey
3
Department of Infectious Diseases and Clinical Microbiology, Çam and Sakura City Hospital, İstanbul 34093, Turkey
4
Department of Infectious Diseases and Clinical Microbiology, Ümraniye Training and Research Hospital, İstanbul 34093, Turkey
5
Department of Medical Microbiology, Cerrahpaşa Faculty of Medicine, Division of Virology, Istanbul Cerrahpaşa University, İstanbul 34093, Turkey
6
Department of Medical Microbiology, Istanbul Faculty of Medicine, Division of Virology and Fundamental Immunology, Istanbul University, İstanbul 34093, Turkey
*
Author to whom correspondence should be addressed.
Vaccines 2022, 10(5), 733; https://doi.org/10.3390/vaccines10050733
Submission received: 23 March 2022
/
Revised: 2 May 2022
/
Accepted: 3 May 2022
/
Published: 7 May 2022
(This article belongs to the Special Issue Assessment of Post-COVID-19 Complications and Vaccination Efficacy)
Abstract
:COVID-19 vaccines are highly protective against severe disease; however, vaccine breakthrough infections resulting in hospitalization may still occur in a small percentage of vaccinated individuals. We investigated whether the clinical and microbiological features and outcomes were different between hospitalized COVID-19 patients who were either fully vaccinated with Coronovac or not. All hospitalized COVID-19 patients who had at least one dose of Coronavac were included in the study. The oldest unvaccinated patients with comorbidities, who were hospitalized during the same period, were chosen as controls. All epidemiologic, clinical and laboratory data of the patients were recorded and compared between the fully vaccinated and unvaccinated individuals. There were 69 and 217 patients who had been either fully vaccinated with Coronavac or not, respectively. All breakthrough infections occurred in the first 3 months of vaccination. Fully vaccinated patients were older and had more comorbidities than unvaccinated patients. There were minor differences between the groups in symptoms, physical and laboratory findings, anti-spike IgG positivity rate and level, the severity of COVID-19, complications, and clinical improvement rate. The mortality rate of fully vaccinated patients was higher than the mortality rate in unvaccinated patients in univariate analysis, which was attributed to the fact that vaccinated patients were older and had more comorbidities. The severity and clinical outcomes of hospitalized patients with breakthrough COVID-19 after Coronavac vaccination were similar to those of unvaccinated patients. Our findings suggest that the immune response elicited by Coronovac could be insufficient to prevent COVID-19-related severe disease and death within 3 months of vaccination among elderly people with comorbidities.
1. Introduction
The Coronavirus Disease-2019 (COVID-19) pandemic began in Wuhan in December 2019 and has since affected more than 500,000,000 people, with 6 million dead all over the world so far. The major risk factors associated with death in patients with COVID-19 are older age (≥65 years), male sex, comorbidities including diabetes, chronic kidney, heart, lung and liver diseases, hypertension, obesity, cancer and immunocompromising states, the presence of severe disease with acute respiratory distress syndrome (ARDS), presence of neutrophilia, lymphopenia, higher serum D-dimer and ferritin levels on admission and being unvaccinated against the disease. The discovery of effective COVID-19 vaccines in as little as 11 months is one of the greatest achievements of medicine and scientific research in history. As of April 2022, the World Health Organization (WHO) has so far authorized a total of 14 severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) vaccines for COVID-19, in which 2, 3, 7 and 2 of them are mRNA, inactivated virus, viral vector (non-replicating) and protein subunit, respectively. After the administration of almost 8 billion doses of COVID-19 vaccines worldwide, it was understood that vaccines are highly effective in reducing COVID-19-related hospitalization, serious illnesses and death; however, the effectiveness of the vaccines vary by vaccine type and is sharply reduced over time; therefore, vaccine breakthrough infections resulting in hospitalization and death may occur in a small number of vaccinated, especially older and immunocompromised, patients [1,2,3,4]. It was recently reported that 2.6% of fully vaccinated elderly individuals had a breakthrough SARS-CoV-2 infection, 20% and 2.2% of breakthrough infections required hospitalization and resulted in death, respectively, and 34% of breakthrough hospitalizations required intensive care unit (ICU) admission [5]. Vaccinated people requiring hospital care due to severe COVID-19 breakthrough infection could have different clinical and laboratory features due to trained and previously acquired immunity. There are some reports of clinical and laboratory features of vaccine breakthrough infections after vaccinations with mRNA or adenoviral SARS-CoV-2 vaccines, but there is no article on the clinical characteristics of vaccine breakthrough infections after vaccination with Coronavac, which is an inactivated virus vaccine. In this study, we compared the clinical and microbiological features and outcomes of COVID-19 between Coronavac vaccinated and unvaccinated patients.
2. Material and Methods
2.1. Study Design and Study Population
This was a multicenter, prospective, analytical cross-sectional study.
Patients who had at least one dose of Coronovac and confirmed COVID-19 in the following days and were hospitalized in one of the five study hospitals from 01 April 2021 to 1 June 2021 were included in the study after obtaining informed consent. Patients who had two doses of Coronavac separated by at least 14 days and whose final dose was given at least 14 days earlier were accepted as fully vaccinated. For each vaccinated patient included in the study, one to two patients who were hospitalized in the same study hospital at the same time with the vaccinated cases due to confirmed COVID-19, had no COVID-19 vaccination previously and preferably with similar comorbidities and age were included as the control group. The oldest patients with comorbidities were chosen as the control. However, when the national vaccination campaign began it was aimed firstly at individuals older than 65 years, therefore it was impossible for us during the study period to find a control group with similar ages and comorbidities. All epidemiologic, clinical and laboratory data of the patients were recorded in previously prepared forms. The clinical severity of COVID-19 on admission was determined with the National Early Warning Score (NEWS) [6], and the progression of all patients was evaluated and compared with the “Ordinal Scale for Clinical Improvement” of the WHO [7], which was defined on admission and on days 3, 5, 7, 10, 14 and 21 of hospitalization. One nasopharyngeal swab and one plain tube of blood were taken, if possible, on the day of admission for the determination of SARS-CoV-2 RNA, variants of concerns (VOCs) and SARS-CoV-2 spike immunoglobuline G (IgG) antibody. Polymerase chain reaction (PCR) for SARS-CoV-2 RNA was performed on a Rotor-Gene Q 5 Plex Real Time (RT) PCR device (Qiagen, Germany) using a Bio-Speedy® RT-qPCR detection kit (Bioeksen R&D Technologies Limited Company, İstanbul, Turkey). SARS-CoV-2 variant analysis was performed using a multiplex qRT-PCR assay (geneMAPTM variant detection kit kindly provided by the manufacturer Genmark Sağlık Ürünleri, Istanbul, Turkey), which is designed for the detection and identification of VOCs. SARS-CoV-2 IgG antibodies were detected by enzyme linked immunosorbent assay ELISA using an anti-SARS-CoV-2 IgG kit (Euroimmun, Lübeck, Germany).
2.2. Statistical Analysis
The epidemiologic, clinical and laboratory features were compared between the fully vaccinated and unvaccinated patients. Comparisons were performed using the chi-square, Fisher’s exact, independent sample t-test or Mann–Whitney U tests, where appropriate. The variables were investigated using Kolmogorov–Smirnov test to determine whether or not they are normally distributed. A non-parametric Mann–Whitney U test was conducted to compare not-normally distributed parameters. Independent risk factors for mortality were defined by logistic regression analysis. IBM SPSS Statistics Version 21 was used for all of the statistical analysis.
2.3. Ethics
The Ethical Committee of Istanbul University, Istanbul Faculty of Medicine approved the study on 9 July 2021, with a decision number of 14.
3. Results
3.1. Clinical and Laboratory Features of the Patients
A total of 292 patients who were hospitalized due to confirmed COVID-19 and were either Coronavac vaccinated or not vaccinated previously were included in the study. Six patients were removed as they were vaccinated with the Biontec-mRNA COVID-19 vaccine. While 175 (60.8%) of the patients had not received any SARS-CoV-2 vaccines, 111 had received at least one dose of Coronavac; 25 and 86 of the patients had received one and two shots of vaccination, respectively. Sixty-nine patients were accepted as fully vaccinated as they had received two shots, with the second dose being taken at least 14 days earlier. The mean age of the entire cohort was 66.44 ± 13.88 years, and 148 (51.4%) were female. All breakthrough infections occurred in the first 3 months of vaccination; the mean time from receipt of the second dose of the vaccine to the onset of COVID-19 was 38.42 ± 16.82 and the median was 38 (range 14–84) days; the 25th, 50th, 75th and 100th percentiles were 25, 38, 50 and 84 days, respectively.
3.2. Comparison of Vaccinated and Unvaccinated Patients
In total, 69 fully vaccinated patients were compared with 217 patients, either unvaccinated (175) or under-vaccinated (42). Fully vaccinated patients were older and more frequently had a sore throat, hypertension, chronic kidney disease, higher fever, higher blood pressure, higher serum creatinine and troponin levels and a higher hospital mortality rate than unvaccinated patients (p < 0.05, Table 1). We also compared 69 fully vaccinated patients with 175 unvaccinated ones and the results were very similar with the first analysis, except serum C reactive protein (CRP) level and white blood cell (WBC) number were significantly higher, and serum lactate dehydrogenase (LDH) level was significantly lower in fully vaccinated patients than unvaccinated ones; mean ± standard deviation (SD) values were 107 ± 69 mg/L versus 88 ± 66 mg/L, 9998 ± 11,021/µL versus 7835 ± 9998/µL and 346 ± 147 U/L versus 407 ± 232 U/L for CRP, WBC and LDH, respectively, among vaccinated versus unvaccinated patients.
Unvaccinated patients more frequently had dyspnea, higher serum alanine aminotransferase (ALT) and ferritin levels, and higher blood lymphocyte counts on admission (p < 0.05, Table 1). NEWS scores were similar between the groups on admission and on days 3, 5, 7, 10, 14 and 21 of hospital stay. Additionally, laboratory findings on admission were similar between the vaccinated and unvaccinated patients, except vaccinated patients had higher blood WBC counts and serum troponin levels and unvaccinated patients had higher serum ALT and ferritin levels (p < 0.05). The results of the on-admission nasopharyngeal swab SARS-CoV-2 RNA PCR test and anti-SARS-CoV-2 Spike IgG were available for 94 and 74 patients, respectively. The nasopharyngeal swab SARS-CoV-2 RNA PCR test positivity rate and mean anti-SARS-CoV-2 spike antibody S/CO ratio on hospital admission were higher in vaccinated patients than in unvaccinated patients (p < 0.05). The cycle threshold (Ct) of the SARS-CoV-2 PCR test on hospital admission was similar between the groups. However, the Ct values were significantly higher among 46 anti-SARS-CoV-2-S antibody-positive patients than among 9 anti-SARS-CoV-2 -S antibody-negative patients (32.47 ± 4.180 vs. 25.314 ± 6.885) (p = 0.005). SARS-CoV-2 variant analysis was performed for 33 patients, 16 of whom were fully vaccinated and 17 of whom were unvaccinated. The alpha variant was the most frequently isolated variant whose presence rate was the same in the groups. Although the alpha+E484K variant was found to be more frequent (3/16 (18.8% vs. 1/17 (5.9%)) among patients with vaccine breakthrough infections, the difference was not statistically significant, probably due to the small number of patients. The presence of the E484K mutation was more frequent among fully vaccinated patients (4/16 (25%) vs. 2/17 (11.8)); however, the result also showed no statistical significance.
3.3. Analysis of Risk Factors for Mortality from COVID-19
In univariate analysis including all the patients, older age (p = 0.007), number of comorbidities (p = 0.007), chronic renal failure (p = 0.003), chronic obstructive lung disease (p = 0.009), heart disease other than coronary artery disease (congestive heart failure, heart valve diseases and hearth rhythm disorders) (p = 0.017), cancer (p = 0.017), full vaccination (p = 0.048), body temperature on admission (p = 0.011), haemoglobin (p = 0.021), procalcitonin (p = 0.001), creatinine (p = 0.009) and troponin (p = 0.001) levels, need for ICU (p < 0.001), oxygen support with high flow nasal cannula (HFNC) or non-invasive ventilation or mechanical ventilation (p < 0.001, for each), development of acute renal failure due to COVID-19 (p < 0.001), (p = 0.009) were found to be risk factors for mortality.
In a multivariate logistic regression analysis including all patients, the presence of chronic lung disease, cancer, chronic renal failure and other heart diseases, the need for oxygen with HFNC, and serum haemoglobin level on admission were found to be independent risk factors for mortality (Table 2).
The mean age of fully vaccinated patients was 75 years (ranging 53–92 years). Age, presence of chronic kidney disease, development of acute kidney injury, need for ICU care, HFNC, vasopressors and mechanical ventilation were risk factors for mortality among fully vaccinated patients. Although the Ct of the SARS-CoV-2 PCR test was higher for surviving patients (32.01 ± 5.18 in 29 surviving vs. 28.18 ± 8.01 in 4 deceased patients), the difference was not statistically significant.
The NEWS scores on admission and on day 3 of hospital stay were not different between the deceased and surviving fully vaccinated patients, but the NEWS scores on days 5, 7, 10, 14 and 21 of hospital stay were higher in deceased patients (p < 0.05) (Table 3)
4. Discussion
In this study, we found that patients hospitalized due to breakthrough COVID-19 after Coronavac vaccination were older and had more comorbidities than unvaccinated hospitalized COVID-19 patients. The reported features of vaccine breakthrough COVID-19 cases after mRNA and/or adenovirus vector-based vaccines were also quite similar to the features found in our study; among cases hospitalized for COVID-19, fully vaccinated ones were older and more likely to have underlying medical conditions or to be immunosuppressed compared with unvaccinated cases [3,8,9,10,11].
Our findings, along with others, show that older patients with comorbidities are among the most vulnerable population to severe vaccine breakthrough COVID-19. For this group of patients, close follow-up of vaccine response, administration of booster doses of vaccines if needed and the continuation of non-pharmaceutical interventions, including social distancing and mask wearing after vaccination, are quite important.
There were minor differences in the symptoms and physical findings of COVID-19 patients who were either fully vaccinated or unvaccinated in our study. Additionally, the laboratory findings on admission of vaccinated patients were similar to the findings of unvaccinated COVID-19 patients in our cohort, except that the mean ferritin level of vaccinated patients was lower than the levels in unvaccinated patients (690.04 ng/mL vs. 485.42 ng/mL). In another study from India, ferritin levels were also found to be lower in patients with vaccine breakthrough infections than in patients with primary infection (544.82 ng/mL vs. 392.26 ng/mL) [12]; however, no significant differences were found in white blood count, absolute lymphocyte count nadir, CRP, interleukin-6, procalcitonin, oxygen saturation, lung involvement, and fever frequency between the recipients of the first and second vaccine doses in a study conducted in Poland [13]. It should be known that the clinical course or laboratory findings of patients hospitalized due to breakthrough COVID-19 after Coronavac vaccination may not reveal any distinctive features. Despite the lower ferritin level, the severity of the disease, incidence of complications including acute kidney injury, requirements for intensive care unit support and mortality rate were not different between the vaccinated and unvaccinated patients in our study; NEWS scores of vaccinated and unvaccinated patients on admission were found to be 5.53 and 5.18, respectively. The mortality rate of fully vaccinated patients was found to be higher than the mortality rate of unvaccinated patients in the univariate analysis in our study, which was attributed to the fact that vaccinated patients were older and had more comorbidities. Indeed, comorbidities were found as independent risk factors for mortality in the multivariate analysis, while vaccination was not. In contrast to our study, the severity of the disease and a requirement for ventilator support were significantly lower in the vaccinated group than in the unvaccinated patients in the Indian study mentioned above; however, the mortality rate was not found to be significantly different between the groups in that study and, similar to our study, no significant differences were seen in the incidence of acute kidney injury, requirement for renal replacement therapy or thrombotic complications between the two groups [12]. In another study of 218 mRNA-vaccinated breakthrough delta variant COVID-19 cases hospitalized in a Singapore Hospital, despite the significantly older age of the vaccine breakthrough group, the odds of severe COVID-19 requiring oxygen supplementation were significantly lower following vaccination, and vaccination was found to be associated with a faster decline in viral RNA load and a robust serological response [14]. In a USA study of 67,311 laboratory-confirmed COVID-19-associated hospitalized adult cases, there were no differences in the risk for ICU admission or in-hospital death between 30,967 unvaccinated and 1,255 fully vaccinated persons [3]. Finally, in a recent study from the USA, among patients hospitalized with COVID-19, mRNA vaccine breakthrough cases less commonly received ICU care and invasive mechanical ventilation than unvaccinated cases, and the likelihood of death was also lower in the vaccinated cases; but these findings did not differ by age group or immunocompromised status [11]. These differences in the clinical severity and outcomes of vaccinated and unvaccinated hospitalized COVID-19 patients between our study and other cohorts might be associated with two reasons: One is that compared with the Indian and Singapore cohorts [12,14], our and USA’s [3] vaccinated breakthrough cases were older (mean ages were 75 and 73 vs. 58 and 56 years in our and USA and Indian and Singapore studies, respectively) and had more comorbidities (prevalence of HT+ DM were 72% + 44% and 70% + 39% vs. 51% vs. 7% + 19% in our and USA [3] and Indian and Singapore cohort [12,14], respectively). Both older age and comorbidities are well-defined risk factors leading to severe disease and lower antibody response and protection from vaccines or higher vaccine unresponsiveness. Coronavac was found to be 42% effective among elderly people (>70 years old) after ≥14 days of the 2nd dose; it declined with increasing age in a Brazilian study [15]. In another study from Poland, fully vaccinated breakthrough cases were more frequently confirmed to be vaccine non-responders [13]. Confirming this hypothesis, in a recent study from the UK, among 10,024 vaccinated individuals with SARS-CoV-2 infection (9479 of them were matched to unvaccinated controls), COVID-19 vaccination was found to be associated with a lower risk of several, but not all, COVID-19 sequelae in those with breakthrough SARS-CoV-2 infection, but these benefits of vaccination were clear in younger people but not in people over 60 years of age [16].
Another reason could be the type of vaccine used for vaccination. We included patients only vaccinated with Coronavac. Although all WHO-approved SARS-CoV-2 vaccines were shown to be effective against COVID-19, none of the COVID-19 vaccines created an equal level of protection, and the reported effectiveness of those vaccines against symptomatic COVID-19 varied from 50% to 95% between the vaccine types. mRNA vaccines were reported to be the most effective vaccines, followed by adenoviral vaccines and then inactivated vaccines [17]. Additionally, all vaccine types, including inactivated and mRNA vaccines, were shown to have lower efficacy among elderly people in real life [15,18].
It is widely accepted that protection from SARS-CoV-2 after vaccination is largely mediated by a neutralizing antibody (Nab) response, and there is a significant and positive correlation between serum anti-spike IgG levels and Nab titers [19,20]. Vaccine-elicited neutralization levels measured early after vaccination were found to be correlated with the subsequent protective efficacy measured in phase 3 trials [21], and the duration of immunity mainly resulted from the starting Nab levels. Due to the major differences in vaccine-elicited Nab levels between different types of vaccines, it was foreseen that the duration of protection induced by vaccines would also differ between the different vaccine types. Coronavac-elicited Nab titers were found to be lower than convalescent patients in a phase 2 study, and it was predicted that booster doses will be needed within 3 months after the 2nd dose; this time span was supposed to be 9–12 months for mRNA vaccines [22]. Serum Nab titers were lower after the second dose of vaccines in both Coronavac- and Biontech mRNA-vaccinated older (>65 years old) people than in younger people [15,22]. Additionally, the risk of symptomatic COVID-19 decreased with increasing levels of anti-spike IgG and anti-RBD IgG and Nab titer [23]. In real life, it was also seen that vaccine effectiveness decreases significantly over time. In an Israel study including almost 700,000 people, all of whom were vaccinated with the BioNTech/Pfizer mRNA BNT162b2 vaccine in a two-dose regimen, a significant correlation was found between time-from-vaccine and afforded protection against SARS-CoV-2 infection [24]. BNT162b2 mRNA vaccine-induced protection against SARS-CoV-2 infection was shown to wane rapidly following its peak after the second dose, but protection against hospitalization and death persisted at a robust level for 6 months after the second dose [25]. The efficacy of the Coronavac vaccine against the severe delta variant infection among elderly people was shown to be 79% 14–30 days after the second dose, and the efficacy decreased significantly 6–8 months later to 24% [26]. However, in our study, all breakthrough infections occurred during the first 3 months of vaccination, and the median time from the second dose to COVID-19 was 38.42 ± 16.82 days. As a result, it was concluded that not the decreasing level of Nabs but unresponsiveness or lower antibody response to the Coronavac vaccination is the main reason for the same rate of severe consequences of COVID-19 among fully vaccinated and unvaccinated cases in our cohort. As lower than 10% of our fully vaccinated cases had immunosuppressive treatment or conditions including SOT, BMT or active cancer chemotherapy in our cohort, the main reason for vaccine ineffectiveness could be immune senescence due to older age and other comorbidities. Our finding of the same rate of SARS-CoV-2 spike antibody positivity among fully vaccinated and unvaccinated patients also supports this idea. In a study of breakthrough COVID-19 after mRNA vaccinations, the frequency of detectable anti-Spike antibodies in vaccinated individuals was found to be higher (100%) than that in unvaccinated individuals (16%) [14].
Although the mean S/CO of anti-S IgG on the 7th day of complaints among Coronavac-vaccinated inpatients was higher than that among unvaccinated inpatients in our study, the numbers were found to be very close to one another, at 6.11 vs. 5.14, respectively. However, it was shown that SARS-CoV-2 breakthrough infections are a strong booster of the humoral immune response among fully vaccinated patients, the anti-spike IgG antibody levels were increased significantly as low as 2 to 4 days after the onset of symptoms of breakthrough infections, and the levels were more than 10-fold higher in fully vaccinated infected individuals than in unvaccinated uninfected individuals [12,27,28]. These findings also support the lower response rate to the Coronavac vaccine in our cohort.
Corbett et al. recently described the immune correlates of protection by mRNA SARS-CoV-2 vaccine in a primate model. They found that S-specific IgG thresholds for protection from pneumonia and URT infections were >336 IU/mL and >645 IU/mL, respectively [29]. Those numbers translate into 7.5 S/CO and 14.5 S/CO levels, respectively, in the EuroImmune kit that was used in our study [30]. Our mean anti-S IgG levels of 5 S/CO and 6 S/CO among unvaccinated and vaccinated patients, respectively, were lower than the estimated level of protection for pneumonia despite the rapidly boosting effect of breakthrough infections among vaccinated people [28]. However, a protective threshold level of anti-SARS-CoV-2 spike IgG is not fully defined at the moment; as a result, it is impossible to draw a final conclusion with these results, and studies determining the protective level of antibodies against symptomatic COVID-19 and COVID-19 pneumonia are urgently needed. This type of level would be useful, especially among elderly and immunocompromised persons in whom unresponsiveness to the vaccine is expected.
We found a higher percentage of SARS-CoV-2 PCR positivity on admission among vaccinated patients, which could also be a reflection of the older age and comorbidities of those patients. We found no significant difference in Ct values between vaccinated and unvaccinated groups infected with SARS-CoV-2. There were numerous studies with similar results, especially during the delta surge [31,32,33,34]. Given the substantial proportion of asymptomatic vaccine breakthrough cases with high viral loads, interventions, including masking and distancing, should be considered for all vaccinated persons especially in the settings with elevated COVID-19 transmission [35].
This study was performed during the alpha peak of the COVID-19 pandemic in Turkey and, as a result, most of our included patients were infected with the alpha variant. The E484 mutation, either with alpha mutations or by itself, was more frequently determined in vaccinated people in our study; however, it showed no statistical significance. The E484K mutation is known to reduce susceptibility to antibody-mediated neutralization and is more prone to vaccine escape, which is also supported by our results [36].
Although Coronavac vaccination has been shown to reduce COVID-19-related hospitalization [37,38], our study is the first to evaluate the association between vaccination with Coronavac and progression to critical illness among hospitalized COVID-19 patients.
Our study has some limitations. As we included only hospitalized COVID-19 patients, we were unable to describe the effect of Coronavac on reducing hospitalization among COVID-19 patients. Additionally, while we included all the Coronavac vaccinated hospitalized COVID-19 cases, we were not able to include all the unvaccinated COVID-19 patients due to the high number of patients because of the COVID-19 alpha surge in Turkey during the study period. This could result in selection biases of unvaccinated patients and could affect the results of the comparisons, but the inclusion of nearly three-times more unvaccinated patients than vaccinated patients could increase the power of our analysis. Although we included the oldest patients with comorbidities who were hospitalized at the same period as the vaccinated patients as control group, it was not possible for us to create similar vaccinated and unvaccinated groups in terms of age and comorbidities, since the vaccination process started with elderly and people with comorbidities in our country. However, to overcome this problem we performed a multivariate logistic regression analysis to define the independent risk factors for mortality.
5. Conclusions
Elderly people with comorbidities, who have been vaccinated with Coronavac should continue to practice non-pharmaceutical interventions, including social distancing and mask-wearing after vaccination, due to the ongoing risk of severe COVID-19, especially during uncontrolled infection transmission in the community. Our findings, including the occurrence of breakthrough COVID-19 in the first 3 months of vaccination, the same clinical and laboratory features and outcomes of COVID-19, the same rate of anti-spike IgG positivity, and minor differences in antibody levels among fully Coronavac vaccinated and unvaccinated patients suggest that the immune response elicited by Coronavac could be insufficient to prevent COVID-19-related hospitalization and death within 3 months of vaccination among elderly individuals with comorbidities. It also suggests that the problem is not decreasing immunity by time but the insufficient immune response to the Coronavac among this group of patients from the beginning of vaccination. Additional studies about the effectiveness of three or more doses of primary immunization or booster doses with Coronavac, heterologous vaccinations with different vaccine types or using more immunogenic vaccines rather than Coronavac should be conducted to find a solution for more improved protection of elderlies with comorbidities from COVID-19.
Author Contributions
S.Ş.Y.: Designed the study, analysed the data, wrote the paper, G.T.: Collected the data, Ö.A.-A.: Collected the data, M.A.: Collected the data, F.P.: Collected the data, Y.T.: Performed analysis, S.M.: Performed analysis, A.G.: Collected the data, C.G.G.: Collected the data, İ.Ö.: Collected the data, B.H.-A.: Collected the data, P.S.: Performed analysis, A.B.: Collected the data, S.B.: Collected the data, K.M.: Performed analysis, H.E.: Collected the data. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Institutional Review Board Statement
The Ethical Committee of Istanbul University, Istanbul Faculty of Medicine approved the study on 9 July 2021, with a decision number of 14.
Informed Consent Statement
Informed consent to participate in the study was taken from all of the participants of the study. The Informed Consent Form was prepared in accordance with WHO requirements.
Data Availability Statement
All of the raw data of the included patients are available on google form through this link: https://docs.google.com/spreadsheets/d/15g8DFOJrVeBASSz8sIe32ILlsZihoepkxx0Dexh3x70/edit?usp=sharing. Accessed date: 1 April 2022. Forms that were used to collect the data for every patient and SPSS files for statistical analysis are also available upon request.
Acknowledgments
IBM SPSS Statistics Version 21 was obtained via Istanbul University Faculty of Medicine a registered user of the programme.
Conflicts of Interest
The authors declare no conflict of interest.
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Table 1.
Comparison of the clinical and laboratory features and outcomes of hospitalized COVID-19 patients who were either fully vaccinated with Coronavac or not.
Table 1.
Comparison of the clinical and laboratory features and outcomes of hospitalized COVID-19 patients who were either fully vaccinated with Coronavac or not.
| Characteristics or Results | Patients not Vaccinated with Two Doses of Coronavac at Least 14 Days Earlier Total Number: 217 (Unvaccinated (175), Under-Vaccinated (42)). | Patients Vaccinated with Two Doses of Coronavac at Least 14 Days Earlier (n) Total Number: 69 | p |
|---|---|---|---|
| Age(y) mean ± standard deviation (SD) | 65.57 ± 13.95 | 75.63 ± 9.06 | <0.001 |
| Gender, female, n (%) | 111 (51.2) | 37 (53.6) | 0.720 |
| Duration of symptoms, day, mean ± SD | 7.88 ± 3.69 | 6.95 ± 3.40 | 0.064 |
| Symptoms | |||
| Fever, n (%) | 76 (35.2) | 17 (24.6) | 0.104 |
| Shivering, n (%) | 49 (22.6) | 9 (13) | 0.086 |
| Cough, n (%) | 141 (65) | 48 (69.6) | 0.483 |
| Productive cough, n (%) | 44 (20.3) | 11 (15.9) | 0.426 |
| Fatigue, n (%) | 146 (67.3) | 48 (69.6) | 0.723 |
| Dyspnoea, n (%) | 173 (79.7) | 47 (68.1) | 0.046 |
| Sore throat, n (%) | 26 (12) | 16 (23.2) | 0.022 |
| Rhinorrhoea, n (%) | 18 (8.3) | 3 (4.3) | 0.274 |
| Anosmia, n (%) | 28 (12.9) | 10 (14.5) | 0.735 |
| Dysgeusia, n (%) | 29 (13.4) | 14 (20.3) | 0.161 |
| Headache, n (%) | 58 (26.7) | 20 (29) | 0.714 |
| Myalgia, arthralgia, n (%) | 105 (48.4) | 31 (44.9) | 0.616 |
| Nausea, vomiting, n (%) | 41 (19) | 20 (29) | 0.078 |
| Diarrhea, n (%) | 21 (9.7) | 6 (8.7) | 0.808 |
| Comorbidities | |||
| Hypertension, n (%) | 94 (43.3) | 50 (72.5) | <0.001 |
| Diabetes Mellitus, n (%) | 72 (33.2) | 31 (44.9) | 0.077 |
| Chronic lung diseases, n (%) | 35 (16.1) | 16 (23.2) | 0.182 |
| Chronic kidney disease, n (%) | 15 (6.9) | 12 (17.4) | 0.010 |
| Coronary artery disease, n (%) | 41 (18.9) | 17 (24.6) | 0.301 |
| Other heart disease, n (%) | 24 (11.1) | 13 (18.8) | 0.096 |
| Human Immunodeficiency Virus infection, n (%) | 0 (0) | 0 (0) | - |
| Solid Organ Transplantation, n (%) | 3 (1.4) | 2 (2.9) | 0.403 |
| Hematopoietic Stem Cell Transplantation, n (%) | 0 (0) | 1 (1.5) | 0.239 |
| Cancer, n (%) | 17 (7.8) | 9 (13) | 0.190 |
| Immunosuppressive treatment, n (%) | 15 (6.9) | 5 (7.2) | 0.925 |
| National Early Warning Score (NEWS) score on admission, mean ± SD | 5.93 ± 2.90 | 5.48 ± 2.77 | 0.255 |
| Presence of fever, n (%) | 76 (35.2) | 17 (24.6) | 0.104 |
| Temperature on admission, °C, mean ± SD | 36.53 ± 0.56 | 36.74 ± 0.69 | 0.013 |
| The highest temperature during the course of the disease, °C, mean ± SD | 37.04 ± 0.67 | 36.97 ± 0.61 | 0.485 |
| Duration of fever, mean ± SD | 2.51 ± 1.53 | 1.60 ± 0.69 | 0.074 |
| Respiratory rate on admission, mean ± SD | 23.00 ± 4.38 | 22.71 ± 3.95 | 0.642 |
| The highest respiratory rate during the disease course, mean ± SD | 27.31 ± 7.36 | 26.26 ± 5.69 | 0.368 |
| Heart rate on admission, mean ± SD | 86.54 ± 15.61 | 82.57 ± 16.22 | 0.080 |
| The highest heart rate during the disease course, mean ± SD | 103.04 ± 19.34 | 101.01 ± 19.38 | 0.300 |
| Blood pressure on admission, mean ± SD | 121.18 ± 19.49 | 101.01 ± 19.38 | 0.370 |
| The lowest blood pressure during disease course, mean ± SD | 101.25 ± 17.00 | 106.54 ± 17.41 | 0.009 |
| O2 saturation on admission (SpO2), mean ± SD | 86.68 ± 7.29 | 89.23 ± 5.68 | 0.908 |
| The lowest SpO2 during the disease course, mean ± SD | 82.91 ± 11.24 | 85.40 ± 6.88 | 0.528 |
| Partial O2 pressure (Pa O2)on admission, mean ± SD (n) | 65.80 ± 28.11 (58) | 68.11 ± 34.14 (18) | 0.746 |
| The lowest PaO2 during the disease course, mean ± SD (n) | 55.58 ± 14.35 (60) | 56.10 ± 17.86 (19) | 0.899 |
| Unilateral involvement on thorax computed tomography (CT), n (%) | 17 (7.9) | 5 (7.2) | 0.851 |
| Bilateral involvement on thorax CT, n (%) | 194 (90.7) | 61 (88.4) | 0.586 |
| 50% involvement on thorax CT, n (%) | 138 (64.5) | 37 (53.6) | 0.106 |
| White blood cell (WBC) count on admission, mean ± SD | 7852.58 ± 3 657.02 | 9998.26 ± 11 021.0 | 0.189 |
| The highest WBC count during the disease course, mean ± SD | 13,109.44 ± 6179.54 | 13,868.8 ± 6578.23 | 0.260 |
| The lowest WBC count during the disease course, per microliter, mean ± SD | 6261.15 ± 2706.30 | 6455.94 ± 3171.59 | 0.618 |
| Blood haemoglobin level on admission, gr/dL, mean ± SD | 12.45 ± 1.95 | 12.27 ± 1.90 | 0.500 |
| The lowest blood haemoglobin level during the disease course, gr/dL, mean ± SD | 10.99 ± 2.17 | 1.078 ± 1.92 | 0.455 |
| Blood platelet count on admission, per microliter, mean ± SD | 179,874 ± 123 599 | 163,791 ± 112 003 | 0.337 |
| The lowest blood platelet count during the disease course, per microliter, mean ± SD | 160,023 ± 115 627 | 138,031 ± 114 389 | 0.169 |
| Blood polymorphonuclear leukocyte (PNL) count on admission, mean ± SD | 6185.49 ± 3408.73 | 6826.38 ± 4365.70 | 0.521 |
| The highest blood PNL count during the disease course, mean ± SD | 10,897.58 ± 5791.07 | 12,463.8 ± 8927.46 | 0.246 |
| Blood lymphocyte count on admission, mean ± SD | 1133.845 ± 821.75 | 1088.99 ± 996.86 | 0.680 |
| The lowest blood lymphocyte count during disease course, mean ± SD | 729.46 ± 855.34 | 686.47 ± 1 194.41 | 0.015 |
| Serum C-reactive protein (CRP) level on admission, mg/L, mean ± SD | 92.77 ± 67.49 | 107.71 ± 69.85 | 0.076 |
| The highest serum CRP level during the disease course, mg/L, mean ± SD | 125.28 ± 87.96 | 143.23 ± 108.37 | 0.165 |
| Serum procalcitonin level on admission, ng/µL, mean ± SD | 0.43 ± 2.36 (190) | 0.29 ± 0.46 (65) | 0.295 |
| The highest serum procalcitonin level during the disease course, ng/µL, mean ± SD | 1.06 ± 5.23 (186) | 1.27 ± 5.13 (64) | 0.772 |
| Serum alanine aminotransferase (ALT) level on admission, U/L, mean ± SD | 40.19 ± 92.50 | 27.02 ± 24.32 | 0.099 |
| The highest serum ALT level during the disease course, U/L, mean ± SD | 197.98 ± 1024.87 | 62.39 ± 62.89 | 0.019 |
| Serum aspartate aminotransferase (AST) level on admission, U/L, mean ± SD | 46.20 ± 92.22 | 39.52 ± 26.20 | 0.896 |
| The highest serum AST level during the disease course, U/L, mean ± SD | 302.99 ± 2 160 | 66.76 ± 76.42 | 0.827 |
| Serum creatinine level on admission, mg/dL, mean ± SD | 1.04 ± 0.86 | 1.17 ± 0.61 | 0.021 |
| The highest serum creatinine level during the disease course, mg/dL, mean ± SD | 1.25 ± 1.12 | 1.33 ± 0.72 | 0.027 |
| Serum glucose level on admission, mg/dL, mean ± SD | 173.84 ± 97.14 | 151.27 ± 52.46 | 0.642 |
| The highest serum glucose level during the disease course, mg/dL, mean ± SD | 271.27 ± 128.43 | 259.10 ± 100.33 | 0.691 |
| Serum ferritin level on admission, ng/mL, mean ± SD | 690.04 ± 762.00 | 485.42 ± 512.46 | 0.010 |
| The highest serum ferritin level during the disease course, ng/mL, mean ± SD | 1206.61 ± 2360.71 | 1524.96 ± 4265.98 | 0.069 |
| Serum D-dimer level on admission, mg/L, mean ± SD | 2.07 ± 6.47 | 2.34 ± 4.98 | 0.321 |
| The highest serum D-dimer level during the disease course, mg/L, mean ± SD | 3.92 ± 6.49 | 3.97 ± 6.49 | 0.358 |
| Serum troponin level on admission, pg/mL, mean ± SD (n) | 21.18 ± 45.92 (198) | 28.61 ± 42.60 (59) | <0.001 |
| The highest serum troponin level during the disease course, pg/mL, mean ± SD (n) | 37.72 ± 107.03 (201) | 76.84 ± 254.90 (61) | 0.083 |
| Serum lactate dehydrogenase (LDH) level on admission, U/L, mean ± SD | 396.55 ± 219.31 | 404.42 ± 515.57 | 0.077 |
| The highest serum LDH level during the disease course, U/L, mean ± SD | 722.34 ± 2620.94 | 467.36 ± 241.56 | 0.061 |
| Serum interleukin-6 (IL-6) level on admission, mean ± SD (n) | 72.72 ± 164.26 (20) | 32.77 ± 50.08 (6) | 0.242 |
| The highest serum IL-6 level during the disease course, mean ± SD (n) | 94.15 ± 96.51 (11) | 125.95 ± 11.24 (2) | 0.662 |
| Myocarditis, n (%) | 0 | 0 | - |
| Acute kidney injury, n (%) | 12 (5.5) | 4 (5.8) | 1.000 |
| DIC, n (%) | 0 | 0 | - |
| O2 supplement with nasal cannula, n (%) | 171 (78.8) | 49 (71) | 0.181 |
| O2 supplement with face mask with reservoir, n (%) | 133 (61.3) | 43 (62.3) | 0.878 |
| O2 supplement with high flow nasal cannula, n (%) | 46 (21.2) | 13 (18.8) | 0.673 |
| Non-invasive ventilation, n (%) | 12 (5.5) | 8 (11.6) | 0.085 |
| Mechanic ventilation, n (%) | 16 (7.4) | 9 (13) | 0.146 |
| Need for intensice care unit support, n (%) | 37 (17.1) | 13 (18.8) | 0.733 |
| Need for vasopressors, n (%) | 12 (5.5) | 6 (8.7) | 0.346 |
| Need for extracorporeal membrane oxygenation support, n (%) | 0 | 0 | - |
| Need for continuous renal replacement therapy, n (%) | 4 (1.8) | 2 (2.9) | 0.594 |
| Total duration of favipiravir treatment, day, mean ± SD | 8.47 ± 2.57 | 8.56 ± 2.17 | 0.803 |
| Glucocorticoid use for COVID-19, n (%) | 198 (91.2) | 63 (91.3) | 0.988 |
| Total administered dose of dexamethasone for COVID-19, mg, mean ± SD | 37.79 ± 33.26 | 42.54 ± 37.76 | 0.448 |
| Total administered dose of prednisolone for COVID-19, mg, mean ± SD | 1012.9 ± 829.71 | 1202.80 ± 926.97 | 0.161 |
| Anti-cytokine treatment for COVID-19, n (%) | 36 (16.6) | 8 (11.6) | 0.316 |
| Tocilizumab, n (%) | 18 (8.3) | 2 (2.9) | 0.126 |
| Anakinra, n (%) | 21 (9.7) | 6 (8.7) | 0.808 |
| Score of World Health Organization (WHO) ordinal scale on admission, mean ± SD (n) | 3.42 ± 0.98 (214) | 3.435 ± 0.9774 (69) | 0.674 |
| Score of WHO ordinal scale on day 3, mean ± SD (n) | 3.93 ± 0.64 (216) | 3.95 ± 0.49 (69) | 0.674 |
| Score of WHO ordinal scale on day 5, mean ± SD (n) | 3.84 ± 0.89 (216) | 3.94 ± 0.87 (68) | 0.654 |
| Score of WHO ordinal scale on day 7, mean ± SD (n) | 3.64 ± 1.17 (214) | 3.71 ± 1.29 (66) | 0.654 |
| Score of WHO ordinal scale on day 10, mean ± SD (n) | 3.17 ± 1.52 (209) | 3.27 ± 1.61 (65) | 0.734 |
| Score of WHO ordinal scale on day 14, mean ± SD (n) | 2.67 ± 1.64 (203) | 2.93 ± 1.83 (62) | 0.393 |
| Score of WHO ordinal scale on day 21, mean ± SD (n) | 2.15 ± 1.78(192) | 2.32 ± 1.72 (56) | 0.307 |
| Nasopharyngeal swab SARS-CoV-2 PCR positivity on hospital admission, n (%) | 42/58 (72.4) | 33/36 (91.7) | 0.033 |
| Cycle threshold of SARS-CoV-2 PCR test, mean ± SD | 32.07 ± 5.33 | 31.55 ± 5.58 | 0.340 |
| Distribution of variants | 15/17 (88.2) | 12/16 (75) | |
| Alpha, n (%) | 1/17 (5.9) | 3/16 (18.8) | 0.521 |
| Alpha+E484K, n (%)Others, n (%) | 1/17 (5.9) | 1/16 (6.3) | |
| Presence of E484K mutation, n (%) | 2/17 (11.8) | 4/16 (25%) | 0.398 |
| Anti Spike antibody, S/CO, mean ± SD (n) | 5.14 ± 2.57 (41) | 6.11 ± 3.19 (33) | 0.025 |
| Anti S antibody positivity, n (%) | 36/41 (87.8%) | 28/33 (84.8%) | 0.712 |
| Mortality, n (%) | 17 (7.8%) | 11 (15.9%) | 0.048 |
Table 2.
Results of multivariate analysis of mortality risk factors for COVID-19.
| Variants | p | OR | 95% Confidence Interval (CI) | |
|---|---|---|---|---|
| O2 supplement with high flow nasal cannula, n (%) | <0.001 | 6.254 | 2.230 | 17.534 |
| Blood haemoglobin level on admission | 0.041 | 0.772 | 0.603 | 0.989 |
| Presence of chronic lung diseases | 0.031 | 2.999 | 1.108 | 8.111 |
| Presence of cancer | 0.022 | 4.345 | 1.234 | 15.296 |
| Presence of chronic renal failure | 0.014 | 4.049 | 1.335 | 12.283 |
| Presence of cardiac diseases other than coronary heart disease | 0.003 | 6.017 | 1.819 | 19.904 |
Table 3.
Comparison of the patients who recovered or died after vaccine breakthrough COVID-19.
| Characteristics or Results | Patients Fully Vaccinated with Coronavac n: 69 | Fully Vaccinated Patients Who Were Recovered After COVID-19 n: 58 | Fully Vaccinated Patients Who Have Died after COVID-19 n: 11 | p |
|---|---|---|---|---|
| Age, mean ± standard deviation (SD) | 75.63 ± 9.06 | 74.53 ± 9.18 | 81.45 ± 5.76 | 0.019 |
| Gender, female, n (%) | 37 (53.6) | 34 (58.6) | 3 (27.3) | 0.097 |
| Days after the second dose of the vaccine, mean ± SD | 38.42 ± 16.82 | 33.18 ± 14.32 | 39.41 ± 17.18 | 0.263 |
| Comorbidities | ||||
| Hypertension, n (%) | 50 (72.4) | 41 (70.7) | 9 (81.8) | 0.715 |
| Diabetes Mellitus, n (%) | 31 (44.9) | 29 (50) | 2 (18.2) | 0.095 |
| Chronic lung diseases, n (%) | 16 (23.2) | 11 (19) | 5 (45.5) | 0.056 |
| Chronic kidney disease, n (%) | 12 (17.4) | 7 (12.1) | 5 (45.5) | 0.007 |
| Coronary artery disease, n (%) | 17 (24.6) | 16 (27.6) | 1 (9.1) | 0.270 |
| Human Immunodeficiency Virus infection, n (%) | 0 (0) | 0 (0) | 0 (0) | - |
| Solid Organ Transplantation, n (%) | 2 (2.9) | 2 (3.4) | 0 (0) | 1.000 |
| Hematopetic Stem Cell Transplantaion, n (%) | 1 (1.45) | 1 (1.7) | 0 (0) | 1.000 |
| Cancer, n (%) | 9 (13) | 8 (13.8) | 1 (9.1) | 1.000 |
| Immunosuppressive treatment, n (%) | 5 (7.3) | 5 (8.6) | 0 (0) | 0.585 |
| NEWS score on admission, mean ± SD | 5.48 ± 2.77 | 5.53 ± 2.69 | 5.18 ± 3.28 | 0.702 |
| O2 saturation on admission, mean ± SD | 89.23 ± 5.68 | 89.12 ± 5.78 | 89.88 ± 5.30 | 0.732 |
| Bilateral involvement on thorax computed tomography CT, n (%) | 61 (88.40) | 52 (89.7) | 9 (81.8) | 0.604 |
| >50% involvement on thorax CT, n (%) | 37 (53.6) | 31 (53.4) | 6 (53.5) | 0.947 |
| Anti Spike Sample/Cut-off ratio, mean ± SD | 6.11 ± 3.19 (33) | 6.53 ± 2.99(28) | 3.76 ± 3.48 (5) | 0.034 |
| Myocarditis, n (%) | 0 (0) | 0 | 0 | - |
| Acute kidney injury, n (%) | 4 (5.8) | 1 (1.7) | 3 (27.3) | 0.011 |
| Disseminated intravascular coagulation, n (%) | 0 (0) | 0 | 0 | - |
| O2 supplement with nasal cannula, n (%) | 49 (71.0) | 42 (72.4) | 7 (63.6) | 0.556 |
| O2 supplement with reservoir face mask, n (%) | 43 (62.3) | 35(60.3) | 8(72.7) | 0.437 |
| O2 supplement with high flow nasal cannula, n (%) | 13 (18.8) | 6 (10.3) | 7 (63.6) | <0.001 |
| Mechanic ventilation, n (%) | 9 (13.0) | 2 (3.4) | 7 (63.6) | <0.001 |
| Need for intensive care unit, n (%) | 13 (18.8) | 4 (6.9) | 9 (81.8) | <0.001 |
| Vasopressors, n (%) | 6 (8.7) | 1 (1.7) | 5 (45.5) | <0.001 |
| Total duration of favipiravir treatment, day, mean ± SD | 8.56 ± 2.17 | 8.36 ± 2.26 | 9.63 ± 1.20 | 0.074 |
| Glucocorticoid use for COVID-19, n (%) | 63 (91.3) | 52 (89.7) | 11 (100) | 0.580 |
| Total administered doses of dexamethasone for COVID-19, mg, mean ± SD | 42.54 ± 37.76 | 44.82 ± 41.25 | 34.80 ± 24.14 | 0.704 |
| Total administered doses of prednisolone for COVID-19, mg, mean ± SD | 1202.80 ± 926.97 | 1138.64 ± 921.67 | 1502.22 ± 945.75 | 0.290 |
| Anti-cytokine treatment for COVID-19, n (%) | 8 (11.6) | 5 (8.6) | 3 (27.3) | 0.109 |
| Tocilizumab, n (%) | 2 (2.9) | 2 (3.4) | 0 (0) | 1.000 |
| Anakinra, n (%) | 6 (8.7) | 3 (5.2) | 3 (27.3) | 0.047 |
| Score of World Health Organization (WHO) ordinal scale on admission, mean ± SD | 3.46 ± 0.90 | 3.46 ± 0.88 | 3.45 ± 1.03 | 0.831 |
| Score of WHO ordinal scale on day 3, mean ± SD | 3.95 ± 0.49 | 3.98 ± 0.44 | 3.81 ± 0.75 | 0.598 |
| Score of WHO ordinal scale on day 5, mean ± SD | 3.94 ± 0.87 | 3.82 ± 0.79 | 4.60 ± 1.07 | 0.029 |
| Score of WHO ordinal scale on day 7, mean ± SD | 3.71 ± 1.29 | 3.44 ± 1.15 | 5.20 ± 1.03 | <0.001 |
| Score of WHO ordinal scale on day 10, mean ± SD | 3.27 ± 1.61 | 2.90 ± 1.40 | 5.30 ± 1.15 | <0.001 |
| Score of WHO ordinal scale on day 14, mean ± SD | 2.93 ± 1.83 | 2.38 ± 1.37 | 5.80 ± 1.13 | <0.001 |
| Score of WHO ordinal scale on day 21, mean ± SD | 3.32 ± 1.72 | 1.83 ± 1.12 | 5.71 ± 1.38 | <0.001 |
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Yavuz, S.Ş.; Tunçer, G.; Altuntaş-Aydın, Ö.; Aydın, M.; Pehlivanoğlu, F.; Tok, Y.; Mese, S.; Gündüz, A.; Güçlü, C.G.; Özdoğan, İ.; et al. Comparison of the Clinical and Laboratory Findings and Outcomes of Hospitalized COVID-19 Patients Who Were Either Fully Vaccinated with Coronavac or Not: An Analytical, Cross Sectional Study. Vaccines 2022, 10, 733. https://doi.org/10.3390/vaccines10050733
AMA Style
Yavuz SŞ, Tunçer G, Altuntaş-Aydın Ö, Aydın M, Pehlivanoğlu F, Tok Y, Mese S, Gündüz A, Güçlü CG, Özdoğan İ, et al. Comparison of the Clinical and Laboratory Findings and Outcomes of Hospitalized COVID-19 Patients Who Were Either Fully Vaccinated with Coronavac or Not: An Analytical, Cross Sectional Study. Vaccines. 2022; 10(5):733. https://doi.org/10.3390/vaccines10050733
Chicago/Turabian StyleYavuz, Serap Şimşek, Gülşah Tunçer, Özlem Altuntaş-Aydın, Mehtap Aydın, Filiz Pehlivanoğlu, Yeşim Tok, Sevim Mese, Alper Gündüz, Ceyda Geyiktepe Güçlü, İklima Özdoğan, and et al. 2022. "Comparison of the Clinical and Laboratory Findings and Outcomes of Hospitalized COVID-19 Patients Who Were Either Fully Vaccinated with Coronavac or Not: An Analytical, Cross Sectional Study" Vaccines 10, no. 5: 733. https://doi.org/10.3390/vaccines10050733
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