Assessment of Post-COVID Symptoms Using the C19-YRS Tool in a Cohort of Patients from the First Pandemic Wave in Northwestern Spain.

Introduction: The emergence or persistence of symptoms after acute SARS-CoV-2 infection has made it necessary to develop tools to detect them and assess their impact on patients' quality of life. One of these tools is the COVID-19 Yorkshire Rehabilitation Screening (C19-YRS) scale. We present the results of this tool in a cohort of first pandemic wave patients. Methods: A cross-sectional study of patients with confirmed SARS-CoV-2 infection from March to May 2020 in Lugo (northwestern Spain). C19-YRS was administered via phone 10 months after the acute infection to both former inpatients and outpatients. Electronic medical records were reviewed and relevant data from the acute episode were collected. The main outcome was the presence of impairment in different areas measured by the C19-YRS scale. Results: The answer rate was 63.2%. The mean age was 54 ± 16 years, 38.4% were male and 190 (42.9%) had some comorbidity. Eighty-seven patients (19.6%) required hospitalization and 10 (2.3%) required intensive care unit admission. Ten (3.5%) patients lost their job due to the pandemic. Two hundred seventy-six patients (62.3%) related any symptoms; fatigue (37.2%) and exertional dyspnea (33.4%) were the most common with significant worsening in both cases compared with the situation before the infection. Subgroup analysis showed that more symptom domains were impaired in women than men. Older patients, those with comorbidity and those who needed hospital admission, demanded more health resources after the acute infection. Discussion: C19-YRS is useful for the detection and quantification of symptoms after COVID-19 and provides relevant social, health, and occupational information.

Health Perception among Female COVID-19 Patients. Comment on Fernández-de-las-Peñas et al. Female Sex Is a Risk Factor Associated with Long-Term Post-COVID Related-Symptoms but Not with COVID-19 Symptoms: The LONG-COVID-EXP-CM Multicenter Study. J. Clin. Med. 2022, 11, 413.

We read with interest the original paper by Fernández-de-las-Peñas et al. [...].

COVID-19 pneumonia in Galicia (Spain): Impact of prognostic factors and therapies on mortality and need for mechanical ventilation.

INTRODUCTION: This study was aimed to identify risk factors associated with unfavorable outcomes (composite outcome variable: mortality and need for mechanical ventilation) in patients hospitalized in Galicia with COVID-19 pneumonia. METHODS: Retrospective, multicenter, observational study carried out in the 8 Galician tertiary hospitals. All Patients admitted with confirmed COVID-19 pneumonia from 1st of March to April 24th, 2020 were included. A multivariable logistic regression analysis was performed in order to identify the relationship between risk factors, therapeutic interventions and the composite outcome variable. RESULTS: A total of 1292 patients (56.1% male) were included. Two hundred and twenty-five (17.4%) died and 327 (25.3%) reached the main outcome variable. Age [odds ratio (OR) = 1.03 (95% confidence interval (CI): 1.01-1.04)], CRP quartiles 3 and 4 [OR = 2.24 (95% CI: 1.39-3.63)] and [OR = 3.04 (95% CI: 1.88-4.92)], respectively, Charlson index [OR = 1.16 (95%CI: 1.06-1.26)], SaO2 upon admission [OR = 0.93 (95% CI: 0.91-0.95)], hydroxychloroquine prescription [OR = 0.22 (95%CI: 0.12-0.37)], systemic corticosteroids prescription [OR = 1.99 (95%CI: 1.45-2.75)], and tocilizumab prescription [OR = 3.39 (95%CI: 2.15-5.36)], significantly impacted the outcome. Sensitivity analysis using different alternative logistic regression models identified consistently the ratio admissions/hospital beds as a predictor of the outcome [OR = 1.06 (95% CI: 1.02-1.11)]. CONCLUSION: These findings may help to identify patients at hospital admission with a higher risk of death and may urge healthcare authorities to implement policies aimed at reducing deaths by increasing the availability of hospital beds.

Usefulness of a Telemedicine Tool TELEA in the Management of the COVID-19 Pandemic.

Background: The usefulness of telemedicine in the management of the coronavirus disease 2019 (COVID-19) pandemic has not been evaluated. Methods: We conducted a descriptive study of the process of recruitment and follow-up of patients using a telemedicine tool (TELEA) in the management of patients at risk, in a rural environment with a dispersed population in Lugo in north western Spain. Results: A large number of patients diagnosed with COVID-19 infection (N = 545) were evaluated. Of this group, 275 had comorbidities and were enrolled in the program, with a mean age of 57.6 ± 16.3 years, 43.1% male. The risk factors were hypertension (38%), diabetes (16%), asthma (9.5%), heart disease (8.8%), and immunosuppression (5.1%). Patients were followed through the platform with daily control of symptoms and vital signs. Only 8% were admitted to the hospital, 5.1% on a scheduled basis and 2.9% through the emergency room. Conclusion: The telemedicine tool TELEA is useful for the management of high-risk patients with COVID-19.