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To account for patient variation, patient effects and patient-by-time interaction were included as random (from a bivariate normal distributed with mean zero and an unstructured covariance matrix)
[1] [2] Understanding their mechanisms helps explain potential side effects, including changes in thirst and hydration status
This is particularly effective when insulin resistance is the primary driver of elevated VLDL
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