Risk Factors and Multidimensional Assessment of Long Coronavirus Disease Fatigue: A Nested Case-Control Study
Author(s) -
Ili Margalit,
Dana Yelin,
Moshe Sagi,
Maya M. Rahat,
Liron Sheena,
Nadav Mizrahi,
Yael Gordin,
Hadar Agmon,
Nitzan Karny Epstein,
Alaa Atamna,
Ori Tishler,
Vered Daitch,
Tanya Babich,
Donna Abecasis,
Yoni Yarom,
Shirit Kazum,
Dorit Shitenberg,
Erik Baltaxe,
Odelia Elkana,
Irit ShapiraLichter,
Leonard Leibovici,
Dafna Yahav
Publication year - 2022
Publication title -
clinical infectious diseases
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.44
H-Index - 336
eISSN - 1537-6591
pISSN - 1058-4838
DOI - 10.1093/cid/ciac283
Subject(s) - medicine , sore throat , logistic regression , depression (economics) , conditional logistic regression , heart rate , covid-19 , case control study , disease , physical therapy , blood pressure , surgery , infectious disease (medical specialty) , economics , macroeconomics
Fatigue is the most prevalent and debilitating long-COVID (coronavirus disease) symptom; however, risk factors and pathophysiology of this condition remain unknown. We assessed risk factors for long-COVID fatigue and explored its possible pathophysiology.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom