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Related Concept Videos

Model Approaches for Pharmacokinetic Data: Physiological Models01:15

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Physiological models in pharmacokinetics are instrumental in understanding the distribution and elimination of drugs within the body. These models describe the drug concentration within target organs, influenced by factors such as drug uptake, tissue volume, and blood flow. Drug uptake is governed by the partition coefficient, which signifies the drug concentration ratio in tissue to that in the blood. The blood flow rate to a specific tissue is expressed as Qt, and the rate of change in tissue...
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Clearance Models: Physiological Models01:09

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Drug clearance is a critical pharmacokinetic process involving the irreversible removal of drugs from the body through various organs over a specified time period. Physiological models are indispensable in determining organ-specific clearance, defined by the proportion of the drug eliminated per unit of time from the organ's blood volume.
The organ's clearance rate depends on the blood flow to the organ and the extraction ratio (E). The extraction ratio describes the organ's...
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Prediction models for physical function in COVID-19 survivors.

João Eduardo de Azevedo Vieira1, Arthur de Sá Ferreira2, Laura Braga Monnerat3

  • 1Rehabilitation Sciences Post-Graduation Programme, Augusto Motta University Centre (UNISUAM), Rio de Janeiro, Brazil.

Journal of Bodywork and Movement Therapies
|March 3, 2024
PubMed
Summary

Post-COVID-19 syndrome significantly impacts physical function, with fatigue and reduced muscle strength being key indicators. Objective measures can improve assessment for rehabilitation programs.

Keywords:
COVID-19FatigueMuscle strengthPhysical functioningRehabilitation

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Area of Science:

  • Medical rehabilitation
  • Pulmonology
  • Clinical assessment

Background:

  • The long-term burden of COVID-19 survivors includes significant physical function impairments.
  • The Post-COVID-19 Functional Status (PCFS) scale is a standard tool for assessing physical function in these patients.

Purpose of the Study:

  • To develop predictive models for the PCFS scale.
  • To identify key factors influencing physical function in post-COVID-19 syndrome (PCS).

Main Methods:

  • Two hundred and one PCS patients completed the PCFS and Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-F) scales.
  • Handgrip strength (HGS) and spirometry were used to assess muscle strength and lung function.
  • Sociodemographic data, clinical findings, and hospitalization history were collected.

Main Results:

  • The PCFS scale showed significant correlations with FACIT-F scores (r=-0.424), HGS (r=-0.339), previous hospitalization (r=0.226), BMI (r=0.163), and sex (r=-0.153).
  • A regression model (R=0.559) incorporating age, sex, BMI, FACIT-F, HGS, and prior hospitalization provided the best prediction for PCFS scores.
  • Worse fatigue and lower HGS were associated with more severe physical impairments.

Conclusions:

  • Objective measures like HGS and fatigue assessments (FACIT-F) are crucial for evaluating physical function in PCS patients.
  • Prior hospitalization is linked to worse physical function outcomes.
  • Predictive models integrating these factors can enhance the assessment of physical function and guide rehabilitation strategies.