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Purpose: COVID-19 presents complex pathophysiology, and evidence collected points towards an intricate interaction between viral-dependent and individual immunological mechanisms. Identifying phenotypes through clinical and biological markers may provide a better understanding of the subjacent mechanisms and an early patient-tailored characterization of illness severity. Methods: A multicenter prospective cohort study was performed in 5 hospitals in Portugal and Brazil for one year between 2020–2021. All adult patients with an Intensive Care Unit admission with SARS-CoV-2 pneumonia were eligible. COVID-19 was diagnosed using clinical and radiologic criteria with a SARS-CoV-2 positive RT-PCR test. A two-step hierarchical cluster analysis was made using several class-defining variables. Results: 814 patients were included. The cluster analysis revealed a three-class model, allowing for the definition of three distinct COVID-19 phenotypes: 407 patients in phenotype A, 244 patients in phenotype B, and 163 patients in phenotype C. Patients included in phenotype A were significantly older, with higher baseline inflammatory biomarkers profile, and a significantly higher requirement of organ support and mortality rate. Phenotypes B and C demonstrated some overlapping clinical characteristics but different outcomes. Phenotype C patients presented a lower mortality rate, with consistently lower C-reactive protein, but higher procalcitonin and interleukin-6 serum levels, describing an immunological profile significantly different from phenotype B. Conclusions: Severe COVID-19 patients exhibit three different clinical phenotypes with distinct profiles and outcomes. Their identification could have an impact on patients' care, justifying different therapy responses and inconsistencies identified across different randomized control trial results. [ABSTRACT FROM AUTHOR]

Introduction: Therapeutic measures have been successful in increasing survival rates and quality of life of HIV/AIDS-infected people. However, some people fail to respond to antiretroviral therapy (HAART) because of viral resistance-associated mutations., Objective: To identify virus genotype and the presence of mutations that alter the susceptibility to HAART, and factors associated with the occurrence of these mutations., Methods: A cross-sectional study was conducted on adults living with HIV attending a specialized outpatient clinic in southern Santa Catarina, Brazil. The participants were interviewed and had blood samples collected for analysis. Those with detectable viral load were genotyped., Results: Out of the 629 patients recruited, 127 subjects were included due to having a detectable viral load. The most common mutations were M184V and K103N. HIV-1 subtype C was the most prevalent strain. Resistance to HAART was associated with modification in the treatment regimen (p <0.001)., Conclusion: This study concluded that the circulating subtype virus was subtype C and that the mutations K103N and M184V were the most prevalent strains in southern Santa Catarina, Brazil., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)

Background: The process of deinstitutionalization of individuals with mental disorders (MD) brought greater family responsibility in terms of patient care. Aims: Evaluate the Quality of Life (QoL) and its associated factors of primary caregivers of bipolar and schizophrenic subjects. Methods: A cross-sectional survey was conducted from 2012 to 2015 with 125 caregivers at an outpatient service of a teaching hospital in the South of Brazil. QoL instruments (WHOQOL-Bref, SF-36), questionnaires regarding socio-demographic, clinical data and depressive symptoms (BDI) were applied. Results: Caregivers of schizophrenic individuals presented lower QoL scores than caregivers of bipolar individuals, with moderate effect in physical, and social domains of WHOQOL-Bref, and in physical functioning, role-physical, and role-emotional domains of SF-36. QoL scores of caregivers were lower when compared with the normative data of the Brazilian population. The factors associated with lower QoL scores were: patient diagnosis of schizophrenia, female gender, presence of clinical disease and presence of depressive symptoms in the caregiver. Conclusions: Caregivers of patients with schizophrenia or bipolar disorder present a significant impairment in their QoL when compared with the general population, highlighting the relevance of developing support programs in the mental health services that include these caregivers. [ABSTRACT FROM AUTHOR]