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1.
iScience ; 2023.
Article in English | EuropePMC | ID: covidwho-2291523

ABSTRACT

COVID-19 vaccines elicit a strong anti-S antibodies response. We aim to describe antibody titers in peri-vaccination SARS-CoV-2 infections. This is a retrospective longitudinal single-cohort study. Serological tests were performed at the time of the first SARS-CoV-2 vaccine dose (T0) and 60 (T1), 120 (T2) and 240 (T3) days after. The study included 4682 subjects. Group A had the infection without an anti-S Ig response. Group B and C seroconverted for anti-N Ig between T0 and T1 and between T1 and T2, respectively. Group D was persistently anti-N Ig negative. Group B showed an initial suboptimal response, reaching the highest titer at T3. Those who received the second dose 120 days after the infection had higher titers compared to those who received it 21 days after the first dose. The immune response depends on the number and the timing of vaccine doses, highlighting the need for a more personalized approach to vaccination. Graphical

2.
AIDS Behav ; 26(9): 2920-2930, 2022 Sep.
Article in English | MEDLINE | ID: covidwho-1729330

ABSTRACT

People living with chronic disease (PLWCD) are the frailest category, both for the risk of severe COVID-19 illness and for the impact on the care continuum. Aim of this study was to analyze coping strategies and resilience in people living with HIV (PLWH) compared to people living with oncological diseases (PLWOD) during COVID-19 pandemic. We administrated an anonymous questionnaire, which explored the emotional experience, the demographic factors linked to a COVID-19-related stress syndrome, the patient's perception about the adequacy of clinical undertaking from the hospital and the resilience. We analyzed 324 questionnaires. There were no significant differences in prevalence of psychological distress among the whole cohort; however, PLWOD were calmer, less troubled, and more serene than PLWH. Moreover, PLWH smoked more, ate more, and gained more weight than PLWOD. Most patients didn't feel lonely and continued to take pleasure from their activities. No differences in resilience were found between the groups. In the whole cohort lower levels of resilience were found in patients that were unemployed, with history of psychological disorders and in those who experienced more feelings of anger, anxiety and concern. In our study, patients seemed to preserve their well-being, and to activate adaptive coping during the pandemic.


Subject(s)
COVID-19 , HIV Infections , Neoplasms , Resilience, Psychological , Adaptation, Psychological , COVID-19/epidemiology , Chronic Disease , HIV Infections/epidemiology , HIV Infections/psychology , Humans , Neoplasms/epidemiology , Pandemics , SARS-CoV-2
3.
Panminerva Med ; 64(1): 24-30, 2022 Mar.
Article in English | MEDLINE | ID: covidwho-1513376

ABSTRACT

BACKGROUND: Older people hospitalized for COVID-19 are at highest risk of death. Frailty Assessment can detect heterogeneity in risk among people of the same chronological age. We investigated the association between frailty and in-hospital and medium-term mortality in middle-aged and older adults with COVID-19 during the first two pandemic waves. METHODS: This study is an observational multicenter study. We recorded sociodemographic factors (age, sex), smoking status, date of symptom onset, biological data, need for supplemental oxygen, comorbidities, cognitive and functional status, in-hospital mortality. We calculated a Frailty Index (FI) as the ratio between deficits presented and total deficits considered for each patient (theoretical range 0-1). We also assessed the Clinical Frailty Scale (CFS). Mortality at follow-up was ascertained from a regional registry. RESULTS: In total, 1344 patients were included; median age 68 years (Q1-Q3, 56-79); 857 (64%) were men. Median CFS score was 3 (Q1-Q3 2-5) and was lower in younger vs. older patients. Median FI was 0.06 (Q1-Q3 0.03-0.09) and increased with increasing age. Overall, 244 (18%) patients died in-hospital and 288 (22%) over a median follow-up of 253 days. FI and CFS were significantly associated with risk of death. In two different models using the same covariates, each increment of 0.1 in FI increased the overall hazard of death by 35% (HR=1.35, 95%CI 1.23-1.48), similar to the hazard for each increment of CFS (HR=1.37, 95%CI 1.25-1.50). CONCLUSIONS: Frailty, assessed with the FI or CFS, predicts in-hospital and medium-term mortality and may help estimate vulnerability in middle-aged and older COVID-19 patients.


Subject(s)
Frail Elderly , Frailty/complications , Hospital Mortality , Length of Stay/statistics & numerical data , Aged , COVID-19/mortality , Female , Frailty/diagnosis , Geriatric Assessment , Humans , Male , Middle Aged
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