Kinetics of the Severe Acute Respiratory Syndrome Coronavirus 2 Antibody Response and Serological Estimation of Time Since Infection.

BACKGROUND: Infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) induces a complex antibody response that varies by orders of magnitude between individuals and over time. METHODS: We developed a multiplex serological test for measuring antibodies to 5 SARS-CoV-2 antigens and the spike proteins of seasonal coronaviruses. We measured antibody responses in cohorts of hospitalized patients and healthcare workers followed for up to 11 months after symptoms. A mathematical model of antibody kinetics was used to quantify the duration of antibody responses. Antibody response data were used to train algorithms for estimating time since infection. RESULTS: One year after symptoms, we estimate that 36% (95% range, 11%-94%) of anti-Spike immunoglobulin G (IgG) remains, 31% (95% range, 9%-89%) anti-RBD IgG remains, and 7% (1%-31%) of anti-nucleocapsid IgG remains. The multiplex assay classified previous infections into time intervals of 0-3 months, 3-6 months, and 6-12 months. This method was validated using data from a seroprevalence survey in France, demonstrating that historical SARS-CoV-2 transmission can be reconstructed using samples from a single survey. CONCLUSIONS: In addition to diagnosing previous SARS-CoV-2 infection, multiplex serological assays can estimate the time since infection, which can be used to reconstruct past epidemics.

Anxiety and Fear of Breast Cancer Patients During and After the COVID-19 Era.

BACKGROUND/AIM: Coronavirus-19 (COVID-19) pandemic had a huge impact on medical resource allocation. While it is clear that the surgery refusal rate of patients with breast cancer (BC) was higher during the pandemic, long-term effect of COVID-19 pandemic on hospital admission in the post-pandemic period has not been fully evaluated. This study aimed to estimate how patients' behavior changed following the pandemic and whether the cross-infection risk is still influencing patients' decision-making process. PATIENTS AND METHODS: Between the 16th of January and 18th of March 2020, between 19th of March 2020 and the 20th of March 2020, and between 19th of March 2023 and the 20th of March 2023, 266 patients were enrolled and divided into PRE-COVID-19, COVID-19, and POST-COVID-19 groups, respectively. A total of 137 patients with a suspected breast lesion (SBL) were divided into 3 groups: PRE-COVID-19-SBL, COVID-19-SBL, and POST-COVID-19-SBL groups. In addition, 129 BC patients were divided into PRE-COVID-19-BC, COVID-19-BC and POST-COVID-19-BC groups. Patient characteristics including age, marital status, SBL/BC diameter, personal and family history of BC, clinical stage and molecular subtype were recorded. Procedure refusal (PR) and Surgical refusal (SR) were also recorded with their reason. RESULTS: BC and SBL analysis showed no difference in pre-treatment characteristics (p>0.05). While higher rate of PR and SR rates were reported in COVID-19-SBL and COVID-19-BC groups when compared with PRE-COVID-19 (p=0.003, p=0.013, respectively) and POST-COVID-19 (p=0.005, p=0.004, respectively) groups, no statistical difference was found between PRE-COVID-19 and POST-COVID-19 subanalysis. CONCLUSION: Thanks to preventive measures, COVID-19 does not currently seem to affect the decision-making process of patients with BC.

Symptomatic reinfection with COVID-19: A first from Western India.

The reinfection of recovered COVID-19 patient is one of the major concerns worldwide. Here we report a case of previously recovered patient from Covid-19 who presented with symptomatic reinfection beyond 3 months. We report a case of 58 year old female patient who after presenting with symptomatic episode of RT-PCR confirmed COVID-19 in April 2020, presented with a new symptomatic infection by SARS-CoV-2 four months later. These 2 episodes of infection were caused by different sources as evident from her epidemiological correlates. This is the first epidemiologically, RAT, RT-PCR and antibody confirmed COVID-19 case of re-infection of SARS CoV-2 reported from Western India.

Effect of COVID-19-Related Lockdown οn Hospital Admissions for Asthma and COPD Exacerbations: Associations with Air Pollution and Patient Characteristics.

We conducted a retrospective observational study to assess the hospitalization rates for acute exacerbations of asthma and COPD (chronic obstructive pulmonary disease) during the first imposed lockdown in Athens, Greece. Patient characteristics and the concentration of eight air pollutants [namely, NO (nitrogen monoxide), NO2 (nitrogen dioxide), CO (carbon monoxide), PM2.5 (particulate matter 2.5), PM10 (particulate matter 10), O3 (ozone), SO2 (sulfur dioxide) and benzene] were considered. A total of 153 consecutive hospital admissions were studied. Reduced admissions occurred in the Lockdown period compared to the Pre-lockdown 2020 (p < 0.001) or the Control 2019 (p = 0.007) period. Furthermore, the concentration of 6/8 air pollutants positively correlated with weekly hospital admissions in 2020 and significantly decreased during the lockdown. Finally, admitted patients for asthma exacerbation during the lockdown were younger (p = 0.046) and less frequently presented respiratory failure (p = 0.038), whereas patients with COPD presented higher blood eosinophil percentage (p = 0.017) and count (p = 0.012). Overall, admissions for asthma and COPD exacerbations decreased during the lockdown. This might be partially explained by reduction of air pollution during this period while medical care avoidance behavior, especially among elderly patients cannot be excluded. Our findings aid in understanding the untold impact of the pandemic on diseases beyond COVID-19, focusing on patients with obstructive diseases.

Breast Cancer and COVID-19: The Effect of Fear on Patients' Decision-making Process.

BACKGROUND/AIM: Coronavirus-19 (COVID-19) pandemic outbreak is currently having a huge impact on medical resource allocation. Breast Cancer (BC) patients are concerned both with BC treatment and COVID-19. This study aimed to estimate the impact of anxiety among patients, caused by the spreading of COVID-19. PATIENTS AND METHODS: Between the 16th of January and the 20th of March 2020, we retrospectively enrolled 160 patients. Eighty-two patients with a suspected breast lesion (SBL) were divided into two groups: PRE-COVID-19-SBL and POST-COVID-19-SBL. Seventy-eight BC patients were divided into PRE-COVID-19-BC and POST-COVID-19-BC. Patient characteristics including age, marital status, SBL/BC diameter, personal and family history of BC, clinical stage and molecular subtype were recorded. Procedure Refusal (PR) and Surgical Refusal (SR) were also recorded with their reason. RESULTS: BC and SBL analysis showed no difference in pre-treatment characteristics (p>0.05). Both POST-COVID-19-SBL and POST-COVID-19-BC groups showed higher rates of PR and SR (p=0.0208, p=0.0065 respectively). Infection risk represented primary reason for refusal among POST-COVID-19 patients. CONCLUSION: COVID-19-related anxiety could affect patients' decision-making process.

Lockdown of Breast Cancer Screening for COVID-19: Possible Scenario.

BACKGROUND/AIM: Coronavirus disease is spreading worldwide. Due to fast transmission and high fatality rate drastic emergency restrictions were issued. During the lockdown, only urgent medical services are guaranteed. All non-urgent services, as breast cancer (BC) screening, are temporarily suspended. The potential of breast cancer screening programs in increasing the survival rate and decreasing the mortality rate has been widely confirmed. Suspension could lead to worse outcomes for breast cancer patients. Our study aimed to analyse the data and provide estimates regarding the temporary BC screening suspension. PATIENTS AND METHODS: Data regarding breast cancer and respective screening programs were achieved through literature research and analysis. RESULTS: Considering three different scenarios with respect to the lockdown's impact on breast cancer screening, we estimate that approximately 10,000 patients could have a missed diagnosis during these 3 months. Considering a 6-month period, as suggested by the Imperial college model, the number of patients who will not receive a diagnosis will rise to 16,000. CONCLUSION: Breast cancer screening should be resumed as soon as possible in order to avoid further breast cancer missed diagnosis and reduce the impact of delayed diagnosis.

The Effect of Coronavirus (COVID-19) on Breast Cancer Teamwork: A Multicentric Survey.

BACKGROUND/AIM: Despite the large amount of clinical data available of Coronavirus-19 (COVID-19), not many studies have been conducted about the psychological toll on Health Care Workers (HCWs). PATIENTS AND METHODS: In this multicentric descriptive study, surveys were distributed among 4 different Breast Cancer Centers (BCC). BCCs were distinguished according to COVID-19 tertiary care hospital (COVID/No-COVID) and district prevalence (DP) (High vs. Low). DASS-21 score, PSS score and demographic data (age, sex, work) were evaluated. RESULTS: A total of 51 HCWs were analyzed in the study. Age, work and sex did not demonstrate statistically significant values. Statistically significant distribution was found between DASS-21-stress score and COVID/No-COVID (p=0.043). No difference was found in the remaining DASS-21 and PSS scores, dividing the HCWs according to COVID-19-hospital and DP. CONCLUSION: Working in a COVID-19-hospital represents a factor that negatively affects psychosocial well-being. However, DP seems not to affect the psychosocial well-being of BCC HCWs. During the outbreak, psychological support for low risk HCWs should be provided regardless DP.