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Digital archive of theses discussed at the University of Pisa

 

Thesis etd-12212021-190235


Thesis type
Tesi di specializzazione (4 anni)
Author
FRANCHI, RICCARDO
URN
etd-12212021-190235
Thesis title
"DETERMINANTS OF 6-MONTH SERIOUS ADVERSE EVENTS REQUIRING HOSPITALIZATION IN COVID-19 OLDER SURVIVORS"
Department
MEDICINA CLINICA E SPERIMENTALE
Course of study
GERIATRIA
Supervisors
relatore Prof. Monzani, Fabio
correlatore Dott. Okoye, Chukwuma
Keywords
  • covid-19
  • long covid
  • frailty
  • adverse events
  • hospitalization
Graduation session start date
07/01/2022
Availability
Withheld
Release date
07/01/2092
Summary
SARS-CoV-2 emerged in late December 2019 and has spread globally at a formidable rate over the past 2 years, affecting tens of millions of people and causing over a million dead. In recent months, the study and understanding of the short- and long-term health consequences of COVID-19 has assumed a role of primary importance. A considerable number of patients complain of symptoms related to COVID-19 even weeks after the onset of the disease, a condition described as post-acute COVID-19 syndrome and known as "Long COVID”. The incidence of patients with "Long COVID" appears to be increasing particularly in the geriatric population, but at present, there are little data regarding the prevalence, risk factors, or the possibility of predicting a prolonged course at the beginning of the disease. Patients with recent COVID-19 are at high risk for re-hospitalization with an estimated prevalence rate of 10%. Interestingly, several studies had reported an increased short-term excess mortality after SARS-CoV-2 infection, independently from disease severity; however, scanty data are available regarding the main causes of re-hospitalization. Our study aims to evaluate the prevalence and causes of 6-month adverse events requiring hospitalization in a cohort of older than 65 years old patients recovered from SARS-CoV-2 infection. Secondary outcomes are to determine the possible impact on functional and cognitive performance and the presence of risk factors predicting adverse events.
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