Predictors of infection, symptoms development, and mortality in people with SARS-CoV-2 living in retirement nursing homes.

INTRODUCTION: Since the start of the pandemic, millions of people have been infected, with thousands of deaths. Many foci worldwide have been identified in retirement nursing homes, with a high number of deaths. Our study aims were to evaluate the spread of SARS-CoV-2 in the retirement nursing homes, the predictors to develop symptoms, and death. METHODS AND FINDINGS: We conducted a retrospective study enrolling all people living in retirement nursing homes (PLRNH), where at least one SARS-CoV-2 infected person was present. Medical and clinical data were collected. Variables were compared with Student's t-test or Pearson chi-square test as appropriate. Uni- and multivariate analyses were conducted to evaluate variables' influence on infection and symptoms development. Cox proportional-hazards model was used to evaluate 30 days mortality predictors, considering death as the dependent variable. We enrolled 382 subjects. The mean age was 81.15±10.97 years, and males were 140(36.7%). At the multivariate analysis, mental disorders, malignancies, and angiotensin II receptor blockers were predictors of SARS-CoV-2 infection while having a neurological syndrome was associated with a lower risk. Only half of the people with SARS-CoV-2 infection developed symptoms. Chronic obstructive pulmonary disease and neurological syndrome were correlated with an increased risk of developing SARS-CoV-2 related symptoms. Fifty-six (21.2%) people with SARS-CoV-2 infection died; of these, 53 died in the first 30 days after the swab's positivity. Significant factors associated with 30-days mortality were male gender, hypokinetic disease, and the presence of fever and dyspnea. Patients' autonomy and early heparin treatment were related to lower mortality risk. CONCLUSIONS: We evidenced factors associated with infection's risk and death in a setting with high mortality such as retirement nursing homes, that should be carefully considered in the management of PLRNH.

Altered mental status is a predictor of poor outcomes in COVID-19 patients: A cohort study.

INTRODUCTION: Several studies have described typical clinical manifestations, including fever, cough, diarrhea, and fatigue with COVID-19 infection. However, there are limited data on the association between the presence of neurological manifestations on hospital admission, disease severity, and outcomes. We sought to investigate this correlation to help understand the disease burden. METHODS: We delivered a multi-center retrospective study of positive laboratory-confirmed COVID-19 patients. Clinical presentation, laboratory values, complications, and outcomes data were reported. Our findings of interest were Intensive Care Unit (ICU) admission, intubation, mechanical ventilation, and in-hospital mortality. RESULTS: A total of 502 patients with a mean age of 60.83 ± 15.5 years, of them 71 patients (14.14%) presented with altered mental status, these patients showed higher odds of ICU admission (OR = 2.06, 95%CI = 1.18 to 3.59, p = 0.01), mechanical ventilation (OR = 3.28, 95%CI = 1.86 to 5.78, p < 0.001), prolonged (>4 days) mechanical ventilation (OR = 4.35, 95%CI = 1.89 to 10, p = 0.001), acute kidney injury (OR = 2.18, 95%CI = 1.28 to 3.74, p = 0.004), and mortality (HR = 2.82, 95%CI = 1.49 to 5.29, p = 0.01). CONCLUSION: This cohort study found that neurological presentations are associated with higher odds of adverse events. When examining patients with neurological manifestations, clinicians should suspect COVID-19 to avoid delayed diagnosis or misdiagnosis and lose the chance to treat and prevent further transmission.

Interdisciplinarity and Integration: An Introduction to the Special Issue on Psychopathology in Medical Settings.

As the world views, incredulously, the calamitous consequences of the COVID-19 pandemic, the inseparable connections between body and mind become more and more apparent, even for the heretics (i.e., biological determinists). Such realizations also bolster the understanding of the close link between medical conditions and psychopathology. Launched prior to the COVID-19 epidemic, this special issue sets out to illuminate the prevalence, course, etiology, and responses to a myriad of psychopathological conditions in medical conditions. The 13 articles in this special issue address a variety of medical conditions (chronic illness and chronic pain, Pica, cancer, acute delirium, factitious disorders, functional neurological symptoms, sleep disorders, fetal conditions), mental disorders (depression, anxiety, suicidality, eating disorders, personality disorders, PTSD), medical settings (primary care vs. specialty clinics), and developmental levels (children, adolescents, and adults). The overarching theme emanating from reading these articles is that clinical-health psychology, or clinical psychology in medical settings, is an ever-needed field of inquiry, epitomizing interdisciplinarity and science/practice integration.