Logistic regression analyses of comorbidities and severe COVID-19.

<p>Logistic regression analyses of comorbidities and severe COVID-19.</p>

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Susan R. Sama (14345174) (author)
مؤلفون آخرون:	Rebecca Gore (9438392) (author), Ann Z. Bauer (16378713) (author), Lawrence Garber (16378716) (author), Richard Rosiello (16378719) (author), Devi Sundaresan (16378722) (author), Anne McDonald (16378725) (author), David Kriebel (3779887) (author)
منشور في:	2023
الموضوعات:	Medicine Biotechnology Immunology Cancer Infectious Diseases Virology Computational Biology Mathematical Sciences not elsewhere classified propensity score modeling polycystic ovary syndrome logistic regression models elevated hemoglobin a1c case control approach blood glucose levels metabolic dysfunction heightens using logistic regression pcos finding deserves infection metabolic dysfunction identified 5025 patients metabolic risk factors fold increased risk 56 ), respectively developing severe covid 19 related hospitalization 19 outcomes among infection metabolic increased risk 57 ), severe disease severe covid infection </ evaluated risk 19 treatment 19 therapy 19 patients 19 outcomes younger patients xlink "> targeting patients serious covid pcos demonstrated meanwhile women massachusetts community early treatment early covid earlier covid december 18 confirmed covid carefully evaluated aspartate aminotransferase
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