Facial Affect Recognition in Depression Using Human Avatars

This research assesses facial emotion recognition in depressed patients using a novel dynamic virtual face (DVF) collection. The participant sample comprised 54 stable depressed patients against 54 healthy controls. The experiment entailed a non-immersive virtual reality task of recognizing emotions with DVFs representing the six basic emotions. Depressed patients exhibited a deficit in facial affect recognition in comparison to healthy controls. The average recognition score for healthy controls was 88.19%, while the score was 75.17% for the depression group. Gender and educational level showed no influence on the recognition rates in depressed patients. As for age, the worst results were found in older patients as compared to other cohorts. The average recognition rate for the younger group was 84.18%, 78.63% for the middle-aged group, and 61.97% for the older group, with average reaction times of 4.00 s, 4.07 s, and 6.04 s, respectively.

Prognostic implications of comorbidity patterns in critically ill COVID-19 patients: A multicenter, observational study.

Background: The clinical heterogeneity of COVID-19 suggests the existence of different phenotypes with prognostic implications. We aimed to analyze comorbidity patterns in critically ill COVID-19 patients and assess their impact on in-hospital outcomes, response to treatment and sequelae. Methods: Multicenter prospective/retrospective observational study in intensive care units of 55 Spanish hospitals. 5866 PCR-confirmed COVID-19 patients had comorbidities recorded at hospital admission; clinical and biological parameters, in-hospital procedures and complications throughout the stay; and, clinical complications, persistent symptoms and sequelae at 3 and 6 months. Findings: Latent class analysis identified 3 phenotypes using training and test subcohorts: low-morbidity (n=3385; 58%), younger and with few comorbidities; high-morbidity (n=2074; 35%), with high comorbid burden; and renal-morbidity (n=407; 7%), with chronic kidney disease (CKD), high comorbidity burden and the worst oxygenation profile. Renal-morbidity and high-morbidity had more in-hospital complications and higher mortality risk than low-morbidity (adjusted HR (95% CI): 1.57 (1.34-1.84) and 1.16 (1.05-1.28), respectively). Corticosteroids, but not tocilizumab, were associated with lower mortality risk (HR (95% CI) 0.76 (0.63-0.93)), especially in renal-morbidity and high-morbidity. Renal-morbidity and high-morbidity showed the worst lung function throughout the follow-up, with renal-morbidity having the highest risk of infectious complications (6%), emergency visits (29%) or hospital readmissions (14%) at 6 months (p<0.01). Interpretation: Comorbidity-based phenotypes were identified and associated with different expression of in-hospital complications, mortality, treatment response, and sequelae, with CKD playing a major role. This could help clinicians in day-to-day decision making including the management of post-discharge COVID-19 sequelae. Funding: ISCIII, UNESPA, CIBERES, FEDER, ESF.

Safety and Revisit Related to Discharge the Sixty-one Spanish Emergency Department Medical Centers Without Hospitalization in Patients with COVID-19 Pneumonia. A Prospective Cohort Study UMC-Pneumonia COVID-19.

BACKGROUND: Information is needed on the safety and efficacy of direct discharge from the emergency department (ED) of patients with COVID-19 pneumonia. OBJECTIVES: The objectives of the study were to study the variables associated with discharge from the ED in patients presenting with COVID-19 pneumonia, and study ED revisits related to COVID-19 at 30 days (EDR30d). METHODS: Multicenter study of the SIESTA cohort including 1198 randomly selected COVID patients in 61 EDs of Spanish medical centers from March 1, 2020, to April 30, 2020. We collected baseline and related characteristics of the acute episode and calculated the adjusted odds ratios (aOR) for ED discharge. In addition, we analyzed the variables related to EDR30d in discharged patients. RESULTS: We analyzed 859 patients presenting with COVID-19 pneumonia, 84 (9.8%) of whom weredischarged from the ED. The variables independently associated with discharge were being a woman (aOR 1.890; 95%CI 1.176 3.037), age < 60 years (aOR 2.324; 95%CI 1.353-3.990), and lymphocyte count > 1200/mm3 (aOR 4.667; 95%CI 1.045-20.839). The EDR30d of the ED discharged group was 40.0%, being lower in women (aOR 0.368; 95%CI 0.142-0.953). A totalof 130 hospitalized patients died (16.8%) as did two in the group discharged from the ED (2.4%) (OR 0.121; 95%CI 0.029-0.498). CONCLUSION: Discharge from the ED in patients with COVID-19 pneumonia was infrequent and was associated with few variables of the episode. The EDR30d was high, albeit with a low mortality.

Incidence, Clinical Characteristics, Risk Factors and Outcomes of Acute Coronary Syndrome in Patients With COVID-19: Results of the UMC-19-S1010.

BACKGROUND: There is a lack of knowledge about the real incidence of acute coronary syndrome (ACS) in patients with COVID-19, their clinical characteristics, and their prognoses. OBJECTIVE: We investigated the incidence, clinical characteristics, risk factors, and outcomes of ACS in patients with COVID-19 in the emergency department. METHODS: We retrospectively reviewed all COVID-19 patients diagnosed with ACS in 62 Spanish emergency departments between March and April 2020 (the first wave of COVID-19). We formed 2 control groups: COVID-19 patients without ACS (control A) and non-COVID-19 patients with ACS (control B). Unadjusted comparisons between cases and control subjects were performed regarding 58 characteristics and outcomes. RESULTS: We identified 110 patients with ACS in 74,814 patients with COVID-19 attending the ED (1.48% [95% confidence interval {CI} 1.21-1.78%]). This incidence was lower than that observed in non-COVID-19 patients (3.64% [95% CI 3.54-3.74%]; odds ratio [OR] 0.40 [95% CI 0.33-0.49]). The clinical characteristics of patients with COVID-19 associated with a higher risk of presenting ACS were: previous coronary artery disease, age ≥60 years, hypertension, chest pain, raised troponin, and hypoxemia. The need for hospitalization and admission to intensive care and in-hospital mortality were higher in cases than in control group A (adjusted OR [aOR] 6.36 [95% CI 1.84-22.1], aOR 4.63 [95% CI 1.88-11.4], and aOR 2.46 [95% CI 1.15-5.25]). When comparing cases with control group B, the aOR of admission to intensive care was 0.41 (95% CI 0.21-0.80), while the aOR for in-hospital mortality was 5.94 (95% CI 2.84-12.4). CONCLUSIONS: The incidence of ACS in patients with COVID-19 attending the emergency department was low, around 1.48%, but could be increased in some circumstances. Patients with COVID-19 with ACS had a worse prognosis than control subjects with higher in-hospital mortality.

Incidence, clinical, risk factors and outcomes of Guillain-Barré in Covid-19.

We diagnosed 11 Guillain-Barré syndrome (GBS) cases among 71,904 COVID patients attended at 61 Spanish emergency departments (EDs) during the 2-month pandemic peak. The relative frequency of GBS among ED patients was higher in COVID (0.15‰) than non-COVID (0.02‰) patients (odds ratio [OR] = 6.30, 95% confidence interval [CI] = 3.18-12.5), as was the standardized incidence (9.44 and 0.69 cases/100,000 inhabitant-years, respectively, OR = 13.5, 95% CI = 9.87-18.4). Regarding clinical characteristics, olfactory-gustatory disorders were more frequent in COVID-GBS than non-COVID-GBS (OR = 27.59, 95% CI = 1.296-587) and COVID-non-GBS (OR = 7.875, 95% CI = 1.587-39.09) patients. Although COVID-GBS patients were more frequently admitted to intensive care, mortality was not increased versus control groups. Our results suggest SARS-CoV-2 could be another viral infection causing GBS. ANN NEUROL 2021;89:598-603.

Coronavirus disease 2019 and coagulopathy: other prothrombotic coagulation factors.

There is an increasing evidence supporting the existence of coagulopathy in coronavirus disease 2019 (COVID-19) patients. Most of reports are mainly focused on d-dimer. Our objective is to describe coagulation parameters in these patients that could be involved in a hypercoagulate state and to test platelet function to see if there are short closure times. We analyzed coagulation samples from 80 patients admitted with COVID-19 in our hospital. We also tested platelet function by closure times in a small subgroup of patients. Most of samples had increased d-dimer (96.2%) (median of d-dimer: 1158 ng/ml FEU), increased fibrinogen (75.2%) (median: 5.23 g/l), increased factor VIII (86%) (median: 264.8 U/dl), decreased protein S (22.5% of women, 62.5% of men) (median: 62.8 and 68.5 U/dl, respectively), decreased protein C (7.6%) (median: 100 U/dl), decreased factor XII (25.3%) (median: 90.3 U/dl) and decreased antithrombin activity (21%) (median: 86 U/dl). International normalized ratio was higher than normal in 24 patients (30%) (median: 1.13). The activated partial thromboplastin time ratio was below the normal range in nine patients (11.2%) and above normal in three (3.75%) (median: 0.93). The closure times were short in the 20% and 40% of samples of collagen and ADP and collagen and epinephrine, respectively. Twelve of the 80 patients (15%) had a thrombotic event and all had several abnormal coagulation parameters related with increased thrombotic risk. The results of this study support a hypercoagulability state in COVID-19 patients and it may help to explain the microvascular thrombosis caused by the inflammatory response.

Hospital Epidemics Tracker (HEpiTracker): Description and pilot study of a mobile app to track COVID-19 in hospital workers.

BACKGROUND: Hospital workers have been the most frequently and severely affected professional group during the COVID-19 pandemic, and have a big impact on transmission. In this context, innovative tools are required to measure the symptoms compatible with COVID-19, the spread of infection, and testing capabilities within hospitals in real time. OBJECTIVE: We aimed to develop and test an effective and user-friendly tool to identify and track symptoms compatible with COVID-19 in hospital workers. METHODS: We developed and pilot tested Hospital Epidemics Tracker (HEpiTracker), a newly designed app to track the spread of COVID-19 among hospital workers. Hospital staff in 9 hospital centers across 5 Spanish regions (Andalusia, Balearics, Catalonia, Galicia, and Madrid) were invited to download the app on their phones and to register their daily body temperature, COVID-19-compatible symptoms, and general health score, as well as any polymerase chain reaction and serological test results. RESULTS: A total of 477 hospital staff participated in the study between April 8 and June 2, 2020. Of note, both health-related (n=329) and non-health-related (n=148) professionals participated in the study; over two-thirds of participants (68.8%) were health workers (43.4% physicians and 25.4% nurses), while the proportion of non-health-related workers by center ranged from 40% to 85%. Most participants were female (n=323, 67.5%), with a mean age of 45.4 years (SD 10.6). Regarding smoking habits, 13.0% and 34.2% of participants were current or former smokers, respectively. The daily reporting of symptoms was highly variable across participating hospitals; although we observed a decline in adherence after an initial participation peak in some hospitals, other sites were characterized by low participation rates throughout the study period. CONCLUSIONS: HEpiTracker is an already available tool to monitor COVID-19 and other infectious diseases in hospital workers. This tool has already been tested in real conditions. HEpiTracker is available in Spanish, Portuguese, and English. It has the potential to become a customized asset to be used in future COVID-19 pandemic waves and other environments. TRIAL REGISTRATION: ClinicalTrials.gov NCT04326400; https://clinicaltrials.gov/ct2/show/NCT04326400.