Table 1 Demographic characteristics of PASC cases and controls

From: Using machine learning involving diagnoses and medications as a risk prediction tool for post-acute sequelae of COVID-19 (PASC) in primary care

Characteristic	PASC (n = 7928)	Controls (n = 39,640)
Sex, n
Male	2815	14,075
Female	5113	25,565
Age, years, mean
Male	48	49
Female	47	47

PASC, post-acute sequelae of COVID- 19

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ISSN: 1741-7015

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