Drug dosing in hospitalized obese patients with COVID-19.
Jeffrey F BarlettaBrian L ErstadPublished in: Critical care (London, England) (2022)
Obesity is highly prevalent in hospitalized patients admitted with COVID-19. Evidence based guidelines are available for COVID-19-related therapies but dosing information specific to patients with obesity is lacking. Failure to account for the pharmacokinetic alterations that exist in this population can lead to underdosing, and treatment failure, or overdosing, resulting in an adverse effect. The objective of this manuscript is to provide clinicians with guidance for making dosing decisions for medications used in the treatment of patients with COVID-19. A detailed literature search was conducted for medications listed in evidence-based guidelines from the National Institutes of Health with an emphasis on pharmacokinetics, dosing and obesity. Retrieved manuscripts were evaluated and the following prioritization strategy was used to form the decision framework for recommendations: clinical outcome data > pharmacokinetic studies > adverse effects > physicochemical properties. Most randomized controlled studies included a substantial number of patients who were obese but few had large numbers of patients more extreme forms of obesity. Pharmacokinetic data have described alterations with volume of distribution and clearance but this variability does not appear to warrant dosing modifications. Future studies should provide more information on size descriptors and stratification of data according to obesity and body habitus.
Keyphrases
- weight loss
- metabolic syndrome
- insulin resistance
- type diabetes
- high fat diet induced
- weight gain
- bariatric surgery
- coronavirus disease
- adipose tissue
- sars cov
- electronic health record
- systematic review
- health information
- healthcare
- big data
- clinical practice
- end stage renal disease
- public health
- mental health
- randomized controlled trial
- clinical trial
- ejection fraction
- body mass index
- risk assessment
- current status
- machine learning
- prognostic factors
- study protocol
- peritoneal dialysis
- double blind
- drug induced
- phase ii