Endocrine Aspects of ICU-Hospitalized COVID-19 Patients.
Aristidis DiamantopoulosIoanna DimopoulouPanagiotis MourelatosAlice Georgia VassiliouDimitra-Argyro VassiliadiAnastasia KotanidouIoannis IliasPublished in: Journal of personalized medicine (2022)
The unprecedented scale of the current SARS-CoV-2/COVID-19 pandemic has led to an extensive-yet fragmented-assessment of its endocrine repercussions; in many reports, the endocrine aspects of COVID-19 are lumped together in intensive care unit (ICU) patients and non-ICU patients. In this brief review, we aimed to present endocrine alterations in ICU-hospitalized patients with COVID-19. There are tangible endocrine disturbances that may provide fertile ground for COVID-19, such as preexisting diabetes. Other endocrine disturbances accompany the disease and more particularly its severe forms. Up to the time of writing, no isolated robust endocrine/hormonal biomarkers for the prognosis of COVID-19 have been presented. Among those which may be easily available are admission glycemia, thyroid hormones, and maybe (OH) 25 -vitamin D3. Their overlap among patients with severe and less severe forms of COVID-19 may be considerable, so their levels may be indicative only. We have shown that insulin-like growth factor 1 may have prognostic value, but this is not a routine measurement. Possibly, as our current knowledge is expanding, the inclusion of selected routine endocrine/hormonal measurements into artificial intelligence/machine learning models may provide further information.
Keyphrases
- sars cov
- intensive care unit
- coronavirus disease
- artificial intelligence
- machine learning
- end stage renal disease
- mechanical ventilation
- respiratory syndrome coronavirus
- ejection fraction
- newly diagnosed
- type diabetes
- chronic kidney disease
- early onset
- cardiovascular disease
- prognostic factors
- peritoneal dialysis
- emergency department
- clinical practice
- deep learning
- adipose tissue
- patient reported outcomes
- metabolic syndrome
- acute respiratory distress syndrome
- polycystic ovary syndrome
- weight loss