Publications by authors named "Joanna d'Arc L Batista"
Article Synopsis
- Many existing mortality risk scores for COVID-19 patients have high bias, prompting the need for a more reliable evaluation tool.
- A new prediction model was developed using data from nearly 4,000 COVID-19 patients, identifying seven key variables that indicate in-hospital mortality risk.
- This model showed strong accuracy in predicting outcomes and is accessible through an online calculator for healthcare professionals.*
Introduction: Evidence of telehealth for chronic disease management is scarce and contradictory.
Objectives: We aimed to evaluate the safety and efficacy of teleconsultations as support in the care transition of patients with stable coronary artery disease (CAD) from tertiary to primary care.
Methods: A randomized noninferiority clinical trial was undertaken in patients with CAD from a tertiary hospital in a middle-income country.
Background: The tuberculin skin test (TST) is still the standard test for detecting latent infection by M tuberculosis (LTBI). Given that the Brazilian Health Ministry recommends that the treatment of latent tuberculosis (LTBI) should be guided by the TST results, the present study sets out to describe the coverage of administering the TST in people living with HIV at two referral health centers in the city of Recife, where TST is offered to all patients. In addition, factors associated with the non-application of the test and with positive TST results were also analyzed.
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