Heterologous booster COVID-19 vaccination elicited potent immune responses in HCWs.

The objective of our study was to evaluate the antibody responses of health care workers (HCWs) who were vaccinated with booster dose BNT162b2 6 months after 2 doses of the CoronoVac vaccine. The study included 318 HCWs vaccinated with inactive CoronaVac SARS-CoV-2 vaccine in 2 doses. Anti-spike/RBD IgG levels were measured immediately before and 1 month after the booster dose. In the sixth month after CoronaVac vaccination, the median of antibody levels of 1212.02 AU/ML, while it was 9283 AU/mL after BNT162b2 vaccination. IgG antibody titers of over 1050 AU/mL (which is equivalent to 1:80 dilution in the plaque reduction neutralization test) were detected in HCWs 15.09% and 97.8%, respectively. Our results showed that antibody titers increased 8-fold after the booster dose. We believe that the administration of the mRNA vaccine as a booster dose can provide more effective protection against COVID-19 infection, especially in individuals with risk factors.

Waning immunity to inactive SARS-CoV-2 vaccine in healthcare workers: booster required.

AIMS: Despite high vaccination rates, increasing case numbers continue to be reported with the identification of new variants of concern, and the issue of durability of the vaccine-induced immune response remains hot topic. Real-life data regarding time-dependent immunogenicity of inactivated COVID-19 vaccines are scarce. We aimed to investigate the changes in the antibody at the different times after the second dose of the CoronaVac vaccine. METHODS: The study included 175 HCWs vaccinated with inactive CoronaVac (Sinovac Life Sciences, China) SARS-CoV-2 vaccine in two doses. Anti-spike/RBD IgG levels were measured first, third, and sixth months after the second dose. Chemiluminescent microparticle immunoassay (IgG II Quant test, Abbott, USA), which is 100% compatible with plaque reduction neutralization test, was used. RESULTS: Mean age of the participants was 38 ± 11.23 years (range between 22 and 66) of whom 119 (63.9%) were female, and 56 (32%) were male. Dramatic reductions were demonstrated in median antibody levels particularly in the infection-naïve group, comprising 138 HCWs compared to those with prior history of COVID-19 infection (n = 37) (p < 0.001). There was no difference between the two groups in terms of age, gender, blood groups, BMI, and comorbid diseases. CONCLUSIONS: While antibody positivity remained above 90% in the 6th month after two doses of inactivated vaccine in HCWs, the median titers of neutralizing antibodies decreased rapidly. The decrease was more rapid and significant in those with no history of prior COVID-19 infection. In this critical phase of the pandemic, where we are facing the dominance of the Omicron variant after Delta, booster doses have become vital.

Association between presence of Bacillus Calmette-Guerin vaccine scar and coronavirus disease 2019.

Bacillus Calmette-Guerin vaccine is administered for protection against tuberculosis and may also have beneficial effects against some viral respiratory tract infections. In this study, it was aimed to investigate the relationship between Bacillus Calmette-Guerin vaccination which is confirmed by BCG scar, and the frequency and course of Coronavirus disease 2019 (COVID-19). Among 490 patients, 400 patients who accepted to participate in the study were included. After the consent of patients, age, gender, body mass index, comorbidities, smoking, history, and the progress of COVID-19 of these patients were investigated; the presence and number of Bacillus Calmette-Guerin scars were recorded by a physician. Data from groups with and without COVID-19 history were compared. There was no relation between presence and number of the BCG scar and COVID-19 related hospitalization and intensive care unit admission. When groups with and without COVID-19 history compared, no statistically significant difference was found with the presence and number of Bacillus Calmette-Guerin scars (P > 0,05). No association was found between the presence or number of BCG scars and the frequency and course of COVID-19 in individuals with Bacillus Calmette-Guerin vaccination history confirmed by the presence of Bacillus Calmette-Guerin vaccine scars. Currently, the most important protection against COVID-19 is the COVID-19 vaccine.

An assessment on loss of workforce due to COVID-19 among healthcare personnel: A university hospital experience.

BACKGROUND: Healthcare personnel are among the COVID-19 risk groups. For this reason, increased absence from work affects the loss of labor. OBJECTIVE: This study aimed to evaluate the workforce loss amongst health personnel working in our hospital due to COVID-19 in a one-year period. METHODS: Workforce loss of healthcare workers was assessed via absenteeism and life expectancy. Loss of workforce for COVID-19 PCR positive or PCR negative but CT findings compatible with COVID-19 and personnel with high-risk exposure for COVID-19 were determined with absenteeism. Healthcare personnel who passed away due to COVID-19 was determined with the consideration of the retirement age and expected life years. RESULTS: Total lost time from work was 14635 days (excluding deaths). Loss of workforce rates resulting from COVID-19 positivity for male employees was greater in comparison to the results for females (p = 0.018). High-risk exposure of healthcare personnel working in clinical sciences was higher than those in other departments (p < 0.001). Total loss in workforce for 3 people passed away was 14 years 5 months, and total life expectancy was 64 years. Healthcare personnel under the age of 40 had less absenteeism than those over 40 years (p < 0.001). CONCLUSIONS: It was observed that all occupational groups working at the hospital were impacted by COVID-19. The two most important factors that influenced absenteeism were the reason for being affected (positivity and high risk) and age. Absenteeism and daily case tracing of healthcare personnel working on the frontlines will aid in both the pandemic control and management of workload for those left behind.

Clinical outcomes of geriatric patients with COVID-19: review of one-year data.

AIMS: In this study, we aimed to reveal mortality rates and factors affecting survival in geriatric patients infected with COVID-19. METHODS: This is a retrospective study of 873 geriatric patients with COVID-19 who were hospitalized between March 11, 2020 and March 11, 2021. Demographic, clinical, laboratory data, and treatment options were obtained from electronic medical records. Multivariate logistic regression was used to explore the risk factors for in-hospital death. RESULTS: During the specified period, 643 patients were discharged, and 230 patients died in the hospital. The mean age was 75.08 ± 7.39 years (mean ± SD) and 51.8% were males. We found that older age (≥ 85), polypharmacy, dyspnea, abnormal thorax computed tomography (CT), lower doses of anticoagulation, and high values of white blood cell, aspartate aminotransferase, C-reactive protein, lactate dehydrogenase, ferritin were associated with a significant increase in mortality (P < 0.001 for all). Although all of these values were significant in multivariate logistic regression analysis, the most important ones were dyspnea (Odds ratio (OR) 57.916, 95% confidence interval (CI) 23.439-143.104, P < 0.001), polypharmacy (OR 6.782, 95% CI 3.082-14.927, P < 0.001), and thorax CT classification (typical; OR 9.633, 95% CI 2.511-37.122, P < 0.001). CONCLUSION: Older age, polypharmacy, dyspnea, and abnormal thorax CT were the most significant mortality criteria and in addition appropriate anticoagulant use was associated with reduced mortality. Identifying the risk factors to predict mortality in older adults with COVID-19 is important to treat future cases successfully.

Impaired Perceptions and Conspiracy Beliefs about the Way of Emergence of the COVID-19 Infection.

This study aimed to reveal the perceptions and conspiracy theories surrounding the new coronavirus infection. We aimed to explore associations between COVID-19 conspiracy beliefs with recommended health protective attitudes and sociodemographic features among the Turkish population. A questionnaire consisting of seven items about COVID-19 conspiracy theories and perceptions and ten items about attitudes was given to patients and their relatives in five different centres during the second national lockdown in Istanbul. A chi-square test was used to evaluate the associations of disease perceptions and conspiracy beliefs with sociodemographic features and with health protective attitudes. Logistic regression analysis was performed for significant results. Of 483 participants, 242 (50.1%) were found to have a conspiracy belief. Conspiracy theories were more frequent in the participants who were older than 50 years of age (p = 0.009) (OR: 1.83) and less frequent in higher education levels (p = 0.005) (OR: 0.499). In addition, 6.6% of the participants were infected with COVID-19, but having the infection was found to have no effect on disease perceptions or conspiracy beliefs. Wearing a mask in crowds, avoiding shaking hands and kissing, and washing hands were less frequent among conspiracy believers and participants with impaired perceptions. These results indicate that misconceptions and conspiracy beliefs are driving the adoption of disinformation about the prevention of COVID-19 infection.

Frequency and severity of COVID-19 in patients with various rheumatic diseases treated regularly with colchicine or hydroxychloroquine.

This study aimed to investigate whether patients regularly using colchicine or hydroxychloroquine (HCQ) have an advantage of protection from coronavirus disease 2019 (COVID-19) or developing less severe disease. Patients who were taking colchicine or HCQ regularly for a rheumatic disease including Familial Mediterranean Fever, Behçet's syndrome, Systemic Lupus Erythematosus, Rheumatoid Arthritis, and Sjogren's syndrome, as well as their healthy household contacts as the control group, were included in the study. The clinical data regarding COVID-19 were collected using a standard form, and serum samples were analyzed for anti-severe acute respiratory syndrome coronavirus 2 (SARS-COV-2) nucleocapsid immunoglobulin G (IgG). A total of 635 regular colchicine users with their 643 household contacts and 317 regular HCQ users with their 333 household contacts were analyzed. Anti-SARS-COV-2 IgG was positive in 43 (6.8%) regular colchicine users and 35 (5.4%) household contacts (odds ratio [OR] = 1.3; 95% confidence interval [CI]:0.8-2; p = 0.3). COVID-19-related symptoms were described by 29 (67.4%) of the patients and 17 (48.6%) household contacts (OR = 2.2; 95% CI :0.9-5.5; p = 0.09), and hospital admission was observed in five (11.6%) and one (2.9%) of these subjects (OR = 4.5; 95% CI: 0.5-40.2; p = 0.1), respectively. Seropositive subjects were observed in 22 (6.9%) regular HCQ users and 24 (7.2%) household contacts (OR = 1.1; 95% CI: 0.6-1.9; p = 0.8). COVID-19-related symptoms occurred in 16 (72.7%) of the 22 patients and 12 (50%) of 24 household contacts (OR = 2.7; 95% CI: 0.8-9.1; p = 0.1). Three patients (13.6%) were admitted to hospital, while one household contact (4.2%) was hospitalized (OR = 3.6; 95% CI: 0.3-37.8; p = 0.2). Being on a regular treatment of colchicine or HCQ did not result in the prevention of COVID-19 or amelioration of its manifestations.

Waning effectiveness of CoronaVac in real life: A retrospective cohort study in health care workers.

BACKGROUND: Real-world studies showed varying levels of effectiveness of CoronaVac vaccine against COVID-19 disease. This study aimed to assess the association between the vaccination with CoronaVac and the COVID-19 infections among the health care workers in a university hospital and to determine the vaccine effectiveness against COVID-19 in a period when alpha variant was dominant. METHODS: This retrospective cohort study was conducted in a university hospital in Istanbul, Turkey employs 4067 health care workers. The follow-up period was defined as starting 14 days after receiving the second dose for fully vaccinated group. Health care workers were censored when have a positive PCR test result or at the end of the study. Unvaccinated health care workers were censored if they receive any COVID-19 vaccine doses. The incidence rate ratio and Cox regression were used to estimate the unadjusted and adjusted effectiveness of the vaccine. FINDINGS: Seventy-one percent of the health care workers were fully vaccinated whereas 29% percent did not receive any doses. The incidence rate of SARS-CoV-2 infection was 133.7 vs 70.7 per 100.000 person-days in the unvaccinated and fully vaccinated groups, respectively. The unadjusted effectiveness against COVID-19 infection was 47% (95% CI 31-59%) whereas adjusted effectiveness was 39% (95% CI 20-64%). INTERPRETATION: This real life study conducted in health care workers demonstrated that the effectiveness of two doses of the CoronaVac vaccine (39%) was lower than that determined in clinical trials. Due to reduce in protection over time or against variants, booster doses may be needed.

Inactive SARS-CoV-2 vaccine generates high antibody responses in healthcare workers with and without prior infection.

BACKGROUND AND OBJECTIVES: Healthcare workers (HCWs) were among the first groups to be vaccinated in Turkey. The data to be obtained by the vaccination of HCWs would guide wide spread vaccination programs. MATERIALS AND METHODS: The study included 330 HCWs working at Istanbul University-Cerrahpasa, Cerrahpasa Medical Faculty Hospital and vaccinated with inactive CoronaVac (Sinovac Life Sciences, China) SARS-CoV-2 vaccine in two doses (28 days apart). Anti-Spike /RBD IgG levels were measured 14 days after the first dose and 28 days after the second dose. Chemiluminescent microparticle immunoassay (CMIA) (ARCHITECT IgG II Quant test, Abbott, USA), which is 100% compatible with plaque reduction neutralization test (PRNT), was used. RESULTS: Of the participants, 211 (63.9%) were female, 119 (36.1%) were male, and mean age was 39.6 ± 7.7 years. In those without prior COVID-19 history; (n = 255) antibody positivity was detected as 48.2% (95% CI: 42.1-54.3) 14 days after the first dose of vaccine, and 99.2% (95% CI: 98.1-100) at day 28 after the second dose. Antibody titers were significantly lower in patients with hypertension (p = 0.011). In those with prior history of COVID-19 (n = 75); both the antibody positivity rates after the first vaccine (48.2% vs 100%, p = 0.000) and the anti-spike/RBD antibody levels after the second vaccine (with a ≥ 1050 AU/mL titer equivalent to PRNT 1/80 dilution) was significant than infection-naive group (25.9% vs. 54.7%, p = 0.000). Antibody positivity after two doses of vaccination for all study group was 99.4% (95% CI: 98.6-100). CONCLUSIONS: Two doses CoronaVac produce effective humoral immunity in HCWs. Antibody response is significantly higher in those with prior history of COVID-19 than infection-naive group. Given no significant benefit of the second dose, a single shot of vaccination may be sufficient for those with prior history of COVID-19. Monitoring humoral and cellular immune responses, considering new variants, is required to validate this approach.

COVID-19 Vaccine Hesitancy in Healthcare Personnel: A University Hospital Experience.

Healthcare workers are among risk groups in the COVID-19. Even if they are not infected with the disease, they witness the effects of the pandemic. The aim of the study is to determine the factors affecting COVID-19 vaccination status and reasons for vaccine hesitancy of healthcare personnel in our hospital. Firstly, the vaccination status and demographic characteristics of all healthcare personnel was evaluated. After that, a survey was applied to 408 vaccinated and 297 nonvaccinated personnel. Within the first month after the beginning of vaccination, 66% of 3937 healthcare personnel received a COVID-19 vaccine. The number of vaccinated personnel was higher among doctors, master graduates or higher educational levels and basic science-laboratory unit workers. In the surveyed group, being under the age of 50 (OR:1.85), being nondoctor healthcare personnel (nurse/midwife OR:1.78, administrative personnel OR:3.42, patient attendant/cleaning staff OR:4.11, security guard/other OR:2.96), having had the disease before (OR:2.36), not having the flu vaccine (OR:3.24) and hesitancy about other vaccines (OR:6.61) were found to be independent risk factors for not having a COVID-19 vaccine or having it late. The three most common reasons for not getting vaccinated were doubt on the efficacy of the vaccine, distrust of its content, and fear of side effects. Taking steps by considering the main factors of hesitancy among healthcare personnel will increase the vaccine acceptance.

The Relationship between Pre-Pandemic Interferon Gamma Release Assay Test Results and COVID-19 Infection: Potential Prognostic Value of Indeterminate IFN-γ Release Assay Results.

OBJECTIVE: To reveal the relationship between interferon-gamma release assay (IGRA) test (Standard ETB-Feron ELISA (TBF)) results performed within 12 months before the COVID-19 pandemic and the frequency of COVID-19 infections and the severity of COVID-19. METHODS: The retrospective TBF test results and contact information of 684 patients aged over 18 years who underwent TBF testing between March 11th, 2019, and March 10th, 2020, were obtained. Of the 684 patients contacted by phone, 365 agreed to participate in the study and were enrolled. The patients were divided into three groups (TBF test positive, negative, and indeterminate). The data obtained from the questionnaire were compared statistically. RESULTS: According to the TBF test results, positive (n = 51, 14%), negative (n = 286, 78.3%), and indeterminate (n = 28, 7.7%) groups were compared. The frequency of COVID-19 infections in the indeterminate group was found significantly higher than that in the positive and negative groups (p=0.005). When the group with COVID-19 (n = 46, 12.6%) was compared with the group without (n = 319, 87.4%), no difference was found in terms of age, sex, body mass index, smoking history and number of cigarettes smoked, TB history, diabetes mellitus, hypertension, coronary artery disease, and biologic and corticosteroid therapy use. Only the frequency of obstructive pulmonary disease was significantly higher in the group without COVID-19 (p=0.033). CONCLUSION: The frequency of COVID-19 infection was increased in patients with indeterminate TBF test results. Indeterminate TBF test results may be a guide in terms of risk stratification in groups at risk for COVID-19.

An easy-to-use nomogram for predicting in-hospital mortality risk in COVID-19: a retrospective cohort study in a university hospital.

BACKGROUND: One-fifth of COVID-19 patients are seriously and critically ill cases and have a worse prognosis than non-severe cases. Although there is no specific treatment available for COVID-19, early recognition and supportive treatment may reduce the mortality. The aim of this study is to develop a functional nomogram that can be used by clinicians to estimate the risk of in-hospital mortality in patients hospitalized and treated for COVID-19 disease, and to compare the accuracy of model predictions with previous nomograms. METHODS: This retrospective study enrolled 709 patients who were over 18 years old and received inpatient treatment for COVID-19 disease. Multivariable Logistic Regression analysis was performed to assess the possible predictors of a fatal outcome. A nomogram was developed with the possible predictors and total point were calculated. RESULTS: Of the 709 patients treated for COVID-19, 75 (11%) died and 634 survived. The elder age, certain comorbidities (cancer, heart failure, chronic renal failure), dyspnea, lower levels of oxygen saturation and hematocrit, higher levels of C-reactive protein, aspartate aminotransferase and ferritin were independent risk factors for mortality. The prediction ability of total points was excellent (Area Under Curve = 0.922). CONCLUSIONS: The nomogram developed in this study can be used by clinicians as a practical and effective tool in mortality risk estimation. So that with early diagnosis and intervention mortality in COVID-19 patients may be reduced.

Factors affecting mortality in geriatric patients hospitalized with COVID-19

Background/aim: We aimed to investigate the factors affecting the mortality of patients aged 65 years or older who were hospitalized with the diagnosis of new coronavirus pneumonia (COVID-19). Materials and methods: This is a retrospective study of patients 65 years old or older with COVID-19 who were hospitalized in Istanbul University-Cerrahpasa, Cerrahpasa Medical Faculty Hospital, between March 11 and May 28, 2020. Demographic, clinical, treatment, and laboratory data were extracted from electronic medical records. We used univariate and multivariate logistic regression methods to explore the risk factors for in-hospital death. Results: A total of 218 patients (112 men, 106 women) were included, of whom 166 were discharged and 52 died in hospital. With univariate analysis, various clinical features and laboratory variables were found to be significantly different (i.e. P < 0.05). In multivariate logistic regression analysis the following were independently associated with mortality: present malignancy [odds ratio (OR) = 4.817, 95% confidence interval (CI) = 1.107­20.958, P: 0.036]; dyspnea (OR = 4.652, 95% CI = 1.473­14.688, P: 0.009); neutrophil/lymphocyte ratio (NLR; OR = 1.097, 95% CI = 1.012­1.188, P: 0.025); the highest values of C-reactive protein (CRP; OR = 1.006, 95% CI = 1.000­1.012, P: 0.049), lactate dehydrogenase (LDH; OR = 1.002, 95% CI = 1.001­1.004, P: 0.003), and creatinine levels (OR = 1.497, 95% CI = 1.126­1.990, P: 0.006); oxygen saturation (SpO2) values on admission (OR = 0.897, 95% CI = 0.811­0.993, P: 0.036); and azithromycin use (OR = 0.239, 95% CI = 0.065­0.874, P: 0.031). Conclusion: The presence of malignancy; symptoms of dyspnea; high NLR; highest CRP, LDH, and creatinine levels; and low SpO2 on admission predicted mortality. On the other hand, azithromycin use was found to be protective against mortality. Knowing the causes predicting mortality will be important to treat future cases more successfully.