Purpose: This study evaluated the frequency of the most common ophthalmological, neurological, and systemic findings in symptomatic patients seen at a COVID-19 screening service at Hospital das Clínicas - Universidade Federal de Pernambuco.
Methods: A total of 104 patients under clinical suspicion of SARS-CoV-2 infection underwent medical evaluation through an ophthalmological and systemic symptoms survey. All participants selected for the study underwent COVID-19 RT-PCR testing.
Results: The mean age was 38.8 years, with 44.23% between 31 and 40 years old, 68.27% female, and 31.73% male. The most common symptoms in patients with a positive RT-PCR test were cough (69.23%), fever (42.3%), hyposmia (38.46%), myalgia (38.46%), and ageusia (30.77%). In the positive group, 34.61% presented with ophthalmological symptoms: burning (19.23%), eye pain (11.54%), foreign body sensation (7.7%), hyperemia (7.7%), and tearing (3.84%).
Conclusions: Systemic clinical features were characteristic of upper respiratory infection, but neurological findings of hyposmia and anosmia proved to be important markers for suspicion of SARS-CoV-2 infection. Ophthalmic symptoms in patients with COVID-19 were similar to those observed in other viral conditions and may precede systemic conditions. A high rate of self-medication was observed for general symptoms compared with ophthalmological conditions.
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http://dx.doi.org/10.5935/0004-2749.20220083 | DOI Listing |
Indian J Med Ethics
January 2025
Senior Resident, Department of Forensic Medicine and Toxicology, AIIMS Bilaspur, Himachal Pradesh 174037, INDIA.
Telemedicine technology plays a crucial role in addressing healthcare challenges, particularly in countries like India, by mitigating physician shortages, reducing patient burden and costs, and aiding in disease prevention. The term telemedicine, meaning "healing at a distance," was coined in 1970 [1]. It encompasses the use of electronic, communication, and information technologies to deliver healthcare services remotely.
View Article and Find Full Text PDFActa Med Philipp
December 2024
Naga City, Camarines Sur, Philippines.
Background And Objective: Several studies have examined the predictors of mortality among COVID-19-infected patients; however, to date, few published studies focused on end-stage renal disease patients. The present study, therefore, aims to determine the predictors of in-hospital mortality among end-stage renal disease patients with COVID-19 admitted to a Philippine tertiary hospital.
Methods: The researcher utilized a retrospective cohort design.
JACC Adv
December 2024
Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Background: Few studies have evaluated home-based cardiac rehabilitation (HBCR) during the pandemic, compared to prepandemic center-based CR (CBCR), with respect to patient characteristics, participation rates, and its efficacy on clinical metrics, health-related quality of life (QoL), and modifiable risk factors.
Objectives: We aimed to describe patient characteristics and participation rates for those attending HBCR compared to patients who attended CBCR and compare the effects of HBCR vs CBCR on clinical metrics, health-related QoL, and modifiable risk factors in CR patients pre vs during the COVID-19 pandemic.
Methods: A retrospective cohort study comparing 511 HBCR patients and 765 CBCR patients from the Mayo Clinic Health System.
Open Forum Infect Dis
January 2025
Department of Infection and Immunity, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Background: The global resurgence of disseminated tuberculosis (TB) after the coronavirus disease 2019 pandemic highlights the necessity of understanding host risk factors, especially in adults without human immunodeficiency virus.
Methods: We reviewed TB cases admitted to Shanghai Public Health Clinical Center from 2017 to 2022. We analyzed baseline characteristics and outcomes.
Int J Telemed Appl
January 2025
Medical Familiar Unit, Instituto de Seguridad y Servicios Sociales de Los Trabajadores del Estado, Torreón, Coahuila, Mexico.
This study proposes an automated system for assessing lung damage severity in coronavirus disease 2019 (COVID-19) patients using computed tomography (CT) images. These preprocessed CT images identify the extent of pulmonary parenchyma (PP) and ground-glass opacity and pulmonary infiltrates (GGO-PIs). Two types of images-saliency () image and discrete cosine transform (DCT) energy image-were generated from these images.
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