Explanatory model of symptoms of stress, anxiety and depression in the general population: Cross-sectional study during the COVID-19 pandemic.

COVID-19 pandemic has had a great impact worldwide, specially affecting mental health and has undoubtedly taken part in human behaviour modification, increasing global health burden and with stress, anxiety and depression being the main contributors to this load. Because of the importance of this issue, the objective of this study was the creation of an explanatory model for the causal relationship of the main psychological variables: stress, anxiety and depression in the COVID-19 pandemic context. A cross-sectional study was carried out with a sample of 709 volunteers, sociodemographic variables and psychological symptoms were measured through a virtual DASS-21 questionnaire, during the COVID-19 pandemic, dated from November 2 to 6, 2020. A structural equation model using the weighted least squares means and the adjusted variance was employed for the creation and adjustment of the explanatory relational model. The results showed the presence of stress, anxiety and depression symptoms among the general population. The model showed an adequate fit (CFI = 0.94; TLI = 0.94; RMSEA = 0.06; P = 0.000) and was able to explain more than 80% of depressive symptoms (R2 = 0.86) and more than 70% of anxiety symptoms (R2 = 0.72), in addition to showing a unidirectional causal relationship of long-term stress on anxiety, and anxiety on depressive symptoms, showing a linked behaviour of the same, in the adjusted model. It was also outlined that this model was characterized by being expressed mainly in women, with lower quality of sleep and at a younger age.

Comparison of different prognostic scores for patients with cirrhosis hospitalized with SARS-CoV-2 infection.

INTRODUCTION AND OBJECTIVES: Viral infections have been described to increase the risk of decompensation in patients with cirrhosis. We aimed to determine the effect of SARS-CoV-2 infection on outcome of hospitalized patients with cirrhosis and to compare the performance of different prognostic models for predicting mortality. PATIENTS: We performed a prospective cohort study including 2211 hospitalized patients with confirmed SARS-CoV-2 infection from April 15, 2020 through October 1, 2020 in 38 Hospitals from 11 Latin American countries. We registered clinical and laboratory parameters of patients with and without cirrhosis. All patients were followed until discharge or death. We evaluated the prognostic performance of different scoring systems to predict mortality in patients with cirrhosis using ROC curves. RESULTS: Overall, 4.6% (CI 3.7-5.6) subjects had cirrhosis (n = 96). Baseline Child-Turcotte-Pugh (CTP) class was assessed: CTP-A (23%), CTP-B (45%) and CTP-C (32%); median MELD-Na score was 19 (IQR 14-25). Mortality was 47% in patients with cirrhosis and 16% in patients without cirrhosis (P < .0001). Cirrhosis was independently associated with death [OR 3.1 (CI 1.9-4.8); P < .0001], adjusted by age, gender, and body mass index >30. The areas under the ROC curves for performance evaluation in predicting 28-days mortality for Chronic Liver Failure Consortium (CLIF-C), North American Consortium for the Study of End-Stage Liver Disease (NACSELD), CTP score and MELD-Na were 0.85, 0.75, 0.69, 0.67; respectively (P < .0001). CONCLUSIONS: SARS-CoV-2 infection is associated with elevated mortality in patients with cirrhosis. CLIF-C had better performance in predicting mortality than NACSELD, CTP and MELD-Na in patients with cirrhosis and SARS-CoV-2 infection. Clinicaltrials.gov:NCT04358380.