Comparison of the characteristics, morbidity, and mortality of COVID-19 and seasonal influenza: a nationwide, population-based retrospective cohort study

L Piroth, J Cottenet, AS Mariet, P Bonniaud… - The Lancet …, 2021 - thelancet.com
Background To date, influenza epidemics have been considered suitable for use as a model
for the COVID-19 epidemic, given that they are respiratory diseases with similar modes of …

Immunometabolic status of COVID-19 cancer patients

A Sica, MP Colombo, A Trama, L Horn… - Physiological …, 2020 - journals.physiology.org
Cancer patients appear to be more likely to be diagnosed with coronavirus disease 2019
(COVID-19). This is supported by the understanding of immunometabolic pathways that …

COVID-19 and endocrine and metabolic diseases. An updated statement from the European Society of Endocrinology

M Puig-Domingo, M Marazuela, BO Yildiz, A Giustina - Endocrine, 2021 - Springer
Background COVID-19 has completely changed our daily clinical practice as well as our
social relations. Many organs and biological systems are involved in SARS-Cov-2 infection …

Asthma in adult patients with COVID-19. Prevalence and risk of severe disease

PD Terry, RE Heidel, R Dhand - American Journal of Respiratory …, 2021 - atsjournals.org
Rationale: Health outcomes of people with coronavirus disease (COVID-19) range from no
symptoms to severe illness and death. Asthma, a common chronic lung disease, has been …

Applying machine learning in distributed data networks for pharmacoepidemiologic and pharmacovigilance studies: opportunities, challenges, and considerations

J Wong, D Prieto-Alhambra, PR Rijnbeek, RJ Desai… - Drug Safety, 2022 - Springer
Increasing availability of electronic health databases capturing real-world experiences with
medical products has garnered much interest in their use for pharmacoepidemiologic and …

Deep phenotyping of 34,128 adult patients hospitalised with COVID-19 in an international network study

E Burn, SC You, AG Sena, K Kostka… - Nature …, 2020 - nature.com
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 …

Filling the gaps in the characterization of the clinical management of COVID-19: 30-day hospital admission and fatality rates in a cohort of 118 150 cases diagnosed in …

D Prieto-Alhambra, E Ballo, E Coma… - International journal …, 2020 - academic.oup.com
Background Currently, there is a missing link in the natural history of COVID-19, from first
(usually milder) symptoms to hospitalization and/or death. To fill in this gap, we …

Drawing reproducible conclusions from observational clinical data with OHDSI

G Hripcsak, MJ Schuemie, D Madigan… - Yearbook of medical …, 2021 - thieme-connect.com
Objective: The current observational research literature shows extensive publication bias
and contradiction. The Observational Health Data Sciences and Informatics (OHDSI) …

Extracting patient-level social determinants of health into the OMOP common data model

J Phuong, E Zampino, N Dobbins… - AMIA Annual …, 2022 - pmc.ncbi.nlm.nih.gov
Deficiencies in data sharing capabilities limit Social Determinants of Health (SDoH) analysis
as part of COVID-19 research. The National COVID Cohort Collaborative (N3C) is an …

ISPE‐Endorsed Guidance in Using Electronic Health Records for Comparative Effectiveness Research in COVID‐19: Opportunities and Trade‐Offs

G Sarri, D Bennett, T Debray… - Clinical …, 2022 - Wiley Online Library
As the scientific research community along with healthcare professionals and decision
makers around the world fight tirelessly against the coronavirus disease 2019 (COVID‐19) …