Maria Tereza Fernandes Abrahão

ORCID: 0000-0003-2701-670X
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About
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Research Areas
  • COVID-19 Clinical Research Studies
  • COVID-19 diagnosis using AI
  • Health Systems, Economic Evaluations, Quality of Life
  • Peripheral Neuropathies and Disorders
  • COVID-19 epidemiological studies
  • COVID-19 and healthcare impacts
  • Health Education and Validation
  • Drug-Induced Ocular Toxicity
  • Rheumatoid Arthritis Research and Therapies
  • Long-Term Effects of COVID-19
  • Machine Learning in Healthcare
  • Artificial Intelligence in Healthcare
  • Public Health in Brazil
  • Global Public Health Policies and Epidemiology
  • Lipoproteins and Cardiovascular Health
  • Adrenal and Paraganglionic Tumors
  • Maternal and Neonatal Healthcare
  • SARS-CoV-2 and COVID-19 Research
  • Cardiovascular Health and Risk Factors
  • Women's cancer prevention and management
  • Ethics in Clinical Research
  • Information Systems and Technology Applications
  • Frailty in Older Adults
  • Tuberculosis Research and Epidemiology
  • Chronic Disease Management Strategies

Universidade de São Paulo
2011-2022

Peking Union Medical College Hospital
2020

Chinese Academy of Medical Sciences & Peking Union Medical College
2020

The University of Melbourne
2020

Hydroxychloroquine, a drug commonly used in the treatment of rheumatoid arthritis, has received much negative publicity for adverse events associated with its authorisation emergency use to treat patients COVID-19 pneumonia. We studied safety hydroxychloroquine, alone and combination azithromycin, determine risk routine care arthritis.

10.1016/s2665-9913(20)30276-9 article EN cc-by The Lancet Rheumatology 2020-08-21

ABSTRACT Background Hydroxychloroquine has recently received Emergency Use Authorization by the FDA and is currently prescribed in combination with azithromycin for COVID-19 pneumonia. We studied safety of hydroxychloroquine, alone azithromycin. Methods New user cohort studies were conducted including 16 severe adverse events (SAEs). Rheumatoid arthritis patients aged 18+ initiating hydroxychloroquine compared to those sulfasalazine followed up over 30 days. Self-controlled case series...

10.1101/2020.04.08.20054551 preprint EN cc-by-nc medRxiv (Cold Spring Harbor Laboratory) 2020-04-10

Abstract Comorbid conditions appear to be common among individuals hospitalised with coronavirus disease 2019 (COVID-19) but estimates of prevalence vary and little is known about the prior medication use patients. Here, we describe characteristics adults COVID-19 compare them influenza We include 34,128 (US: 8362, South Korea: 7341, Spain: 18,425) patients, summarising between 4811 11,643 unique aggregate characteristics. patients have been majority male in US Spain, predominantly female...

10.1038/s41467-020-18849-z article EN cc-by Nature Communications 2020-10-06

Abstract Background We investigated whether we could use influenza data to develop prediction models for COVID-19 increase the speed at which can reliably be developed and validated early in a pandemic. Estimated Risk (COVER) scores that quantify patient’s risk of hospital admission with pneumonia (COVER-H), hospitalization requiring intensive services or death (COVER-I), fatality (COVER-F) 30-days following diagnosis using historical from patients flu-like symptoms tested this patients....

10.1186/s12874-022-01505-z article EN cc-by BMC Medical Research Methodology 2022-01-30

Abstract Background In this study we phenotyped individuals hospitalised with coronavirus disease 2019 (COVID-19) in depth, summarising entire medical histories, including medications, as captured routinely collected data drawn from databases across three continents. We then compared COVID-19 to those previously influenza. Methods report demographics, recorded conditions and medication use of patients the US (Columbia University Irving Medical Center [CUIMC], Premier Healthcare Database...

10.1101/2020.04.22.20074336 preprint EN cc-by medRxiv (Cold Spring Harbor Laboratory) 2020-04-25

Objective To develop and externally validate COVID-19 Estimated Risk (COVER) scores that quantify a patient’s risk of hospital admission (COVER-H), requiring intensive services (COVER-I), or fatality (COVER-F) in the 30-days following diagnosis. Methods We analyzed federated network electronic medical records administrative claims data from 14 sources 6 countries. developed validated 3 using 6,869,127 patients with general practice, emergency room, outpatient visit diagnosed influenza...

10.1101/2020.05.26.20112649 preprint EN cc-by-nc-nd medRxiv (Cold Spring Harbor Laboratory) 2020-05-27

Background SARS-CoV-2 is straining health care systems globally. The burden on hospitals during the pandemic could be reduced by implementing prediction models that can discriminate patients who require hospitalization from those do not. COVID-19 vulnerability (C-19) index, a model predicts which will admitted to hospital for treatment of pneumonia or proxies, has been developed and proposed as valuable tool decision-making pandemic. However, at high risk bias according “prediction...

10.2196/21547 article EN cc-by JMIR Medical Informatics 2021-02-27

ABSTRACT Early identification of symptoms and comorbidities most predictive COVID-19 is critical to identify infection, guide policies effectively contain the pandemic, improve health systems’ response. Here, we characterised socio-demographics comorbidity in 3,316,107persons tested 219,072 persons positive for SARS-CoV-2 since January 2020, their key outcomes month following first test. Routine care data from primary electronic records (EHR) Spain, hospital EHR United States (US), claims...

10.1101/2020.10.25.20218875 preprint EN cc-by-nc-nd medRxiv (Cold Spring Harbor Laboratory) 2020-10-27

Abstract Background SARS-CoV-2 is straining healthcare systems globally. The burden on hospitals during the pandemic could be reduced by implementing prediction models that can discriminate between patients requiring hospitalization and those who do not. COVID-19 vulnerability (C-19) index, a model predicts which will admitted to hospital for treatment of pneumonia or proxies, has been developed proposed as valuable tool decision making pandemic. However, at high risk bias according...

10.1101/2020.06.15.20130328 preprint EN cc-by-nc-nd medRxiv (Cold Spring Harbor Laboratory) 2020-06-17

ABSTRACT Objectives Concern has been raised in the rheumatological community regarding recent regulatory warnings that hydroxychloroquine used COVID-19 pandemic could cause acute psychiatric events. We aimed to study whether there is risk of incident depression, suicidal ideation, or psychosis associated with as for rheumatoid arthritis (RA). Methods New user cohort using claims and electronic medical records from 10 sources 3 countries (Germany, UK US). RA patients aged 18+ initiating were...

10.1101/2020.07.17.20156059 preprint EN cc-by medRxiv (Cold Spring Harbor Laboratory) 2020-07-21

III Einstein International Symposium on Intensive Care and the XXX Mechanical Ventilation. Aug 16-18, 2023. Category: Safety / Quality Management Introduction: Integration of biobank information into OMOP Common Data Model (CDM) presents both opportunities challenges in field healthcare data management. However, process mapping to CDM poses various challenges, including harmonization, standardization terminologies, ensuring quality, addressing privacy ethical considerations.() Objective: To...

10.31744/einstein_journal/2023abs_eisic_mv0022 article EN cc-by Einstein (São Paulo) 2023-01-01

<sec> <title>BACKGROUND</title> SARS-CoV-2 is straining health care systems globally. The burden on hospitals during the pandemic could be reduced by implementing prediction models that can discriminate patients who require hospitalization from those do not. COVID-19 vulnerability (C-19) index, a model predicts which will admitted to hospital for treatment of pneumonia or proxies, has been developed and proposed as valuable tool decision-making pandemic. However, at high risk bias according...

10.2196/preprints.21547 preprint EN cc-by 2020-06-17
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