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2.
Clinics ; 76: e3538, 2021. tab, graf
Article in English | LILACS | ID: biblio-1350609

ABSTRACT

OBJECTIVES: This study presents the cardiology referral model adopted at the University of São Paulo-Hospital das Clínicas complex during the initial period of the coronavirus disease (COVID-19) pandemic, main reasons for requesting a cardiologic evaluation, and clinical profile of and prognostic predictors in patients with COVID-19. METHODS: In this observational study, data of all cardiology referral requests between March 30, 2020 and July 6, 2020 were collected prospectively. A descriptive analysis of the reasons for cardiologic evaluation requests and the most common cardiologic diagnoses was performed. A multivariable model was used to identify independent predictors of in-hospital mortality among patients with COVID-19. RESULTS: Cardiologic evaluation was requested for 206 patients admitted to the ICHC-COVID. A diagnosis of COVID-19 was confirmed for 180 patients. Cardiologic complications occurred in 77.7% of the patients. Among these, decompensated heart failure was the most common complication (38.8%), followed by myocardial injury (35%), and arrhythmias, especially high ventricular response atrial fibrillation (17.7%). Advanced age, greater need of ventilatory support on admission, and pre-existing heart failure were independently associated with in-hospital mortality. CONCLUSIONS: A hybrid model combining in-person referral with remote discussion and teaching is a viable alternative to overcome COVID-19 limitations. Cardiologic evaluation remains important during the pandemic, as patients with COVID-19 frequently develop cardiovascular complications or decompensation of the underlying heart disease.


Subject(s)
Humans , Cardiology , COVID-19 , Referral and Consultation , Pandemics , SARS-CoV-2
3.
Einstein (Säo Paulo) ; 18: eAO6106, 2020. tab
Article in English | LILACS | ID: biblio-1142872

ABSTRACT

ABSTRACT Objective: To characterize variables associated with referral to the emergency department following Telemedicine consultation during the COVID-19 pandemic. Methods: Cross-sectional retrospective study conducted between March and May 2020, with a sample of 500 adult patients. The inclusion criterion was the manifestation of respiratory symptoms, regardless of type. Results: The mean age of patients was 34.7±10.5 years, and 59% were women. Most patients (62.6%) perceived their own health status as malaise and some (41.4%) self-diagnosed COVID-19. Cough (74.4%), rhinorrhea (65.6%), sore throat (38.6%) and sneezing (20.6%) were the most common infection-related symptoms. Overall, 29.4% and 16% of patients reported dyspnea and chest pain, respectively. The Roth score was calculated for a sizeable number of patients (67.6%) and was normal, moderately altered or severely altered in 83.5%, 10.7% and 5.6% of patients, respectively. The percentage of suspected COVID-19 cases was 67.6%. Of these, 75% were managed remotely and only one quarter referred for emergency assessment. Conclusion: Telemedicine assessment is associated with reclassification of patient's subjective impression, better inspection of coronavirus disease 2019 and identification of risk patients. Referral is therefore optimized to avoid inappropriate in-person assessment, and low-risk patients can be properly guided. Telemedicine should be implemented in the health care system as a cost-effective strategy for initial assessment of acute patients.


RESUMO Objetivo: Caracterizar as variáveis associadas ao encaminhamento à emergência após consulta de Telemedicina durante a pandemia de COVID-19. Métodos: Estudo transversal e retrospectivo, realizado entre março e maio de 2020, com amostra de 500 pacientes adultos. O critério de inclusão foi apresentação de sintomas respiratórios, independente do tipo. Resultados: A média de idade dos pacientes foi de 34,7±10,5 anos, e 59% eram do sexo feminino. A maioria dos pacientes (62,6%) se classificou subjetivamente como tendo um mal-estar, e alguns (41,4%) autodiagnosticaram COVID-19. Tosse (74,4%), rinorreia (65,6%), dor de garganta (38,6%) e espirros (20,6%) foram os sintomas mais comuns relacionados à infecção. Dispneia e dor torácica foram relatados por 29,4% e 16% dos pacientes, respectivamente. Foi calculado o escore de Roth de um número considerável de pacientes (67,6%), obtendo resultado normal em 83,5%, moderadamente alterado em 10,7% e grave em 5,6%. A percentagem de casos suspeitos de COVID-19 foi de 67,6%, e 75% desses foram gerenciados remotamente, com apenas um quarto sendo encaminhado para avaliação imediata na emergência. Conclusão: A avaliação da Telemedicina está associada à reclassificação da impressão subjetiva do paciente, melhor inspeção da COVI-19 e identificação de pacientes de risco. O encaminhamento é otimizado, para evitar avaliação presencial inadequada, e permite que os pacientes de baixo risco sejam orientados de forma apropriada. A Telemedicina deve ser implementada no sistema de saúde como estratégia com boa relação custo-efetividade para a avaliação inicial de pacientes agudos.


Subject(s)
Humans , Male , Female , Adult , Young Adult , Telemedicine , COVID-19/drug therapy , Referral and Consultation , Cross-Sectional Studies , Retrospective Studies , Pandemics , SARS-CoV-2 , Middle Aged
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