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Chronic Kidney Disease III: Interprofessional Care01:28

Chronic Kidney Disease III: Interprofessional Care

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Chronic kidney disease (CKD) requires collaborative and comprehensive management. CKD progresses through stages and can lead to end-stage kidney disease (ESKD) if untreated. Interprofessional collaboration and patient education are crucial, enabling patients to manage their health and improve their quality of life.Diagnostic approach for chronic kidney diseaseThe diagnosis of CKD primarily focuses on the glomerular filtration rate (GFR), which assesses kidney function by measuring how well...
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Chronic Kidney Disease I: Introduction01:25

Chronic Kidney Disease I: Introduction

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Chronic Kidney Disease (CKD) arises when the kidneys progressively lose their ability to function, ultimately leading to end-stage renal disease. At this advanced stage, the kidneys can no longer filter waste or maintain essential body functions, requiring renal replacement therapy (RRT) through dialysis or a kidney transplant for survival.Early-stage chronic kidney disease and detection challengesIn CKD's early stages, symptoms often remain absent because healthy nephrons compensate for...
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Chronic Kidney Disease IV: Nursing Management01:18

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Nursing management is essential for preventing complications, maintaining stability, and improving patients' quality of life in chronic kidney disease (CKD). By using a structured approach, nurses help slow CKD progression and support effective patient care​.1. Comprehensive patient assessmentEffective management begins with nurses reviewing the patient’s medical history, and identifying key risk factors like diabetes, hypertension, and nephrotoxic drug use. Nurses assess signs of...
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Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

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Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
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Chronic Kidney Disease II: Clinical Manifestations01:24

Chronic Kidney Disease II: Clinical Manifestations

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Chronic Kidney Disease (CKD) progressively impairs multiple body systems due to the accumulation of uremic toxins, which disrupt cellular functions across various organs.Neurologic symptomsNeurologic symptoms often arise early in CKD, as uremic toxin buildup drives changes in cognitive and motor functions. Patients frequently experience fatigue, headache, confusion, difficulty concentrating, and, in severe cases, seizures. Peripheral neuropathy commonly manifests as burning sensations in the...
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Pharmacokinetic Models: Comparison and Selection Criterion01:26

Pharmacokinetic Models: Comparison and Selection Criterion

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Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
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A Study on CKD Progression and Health Disparities Using System Dynamics Modeling.

Ahmeed Yinusa1, Misagh Faezipour2, Miad Faezipour3

  • 1Computational and Data Science Program, Middle Tennessee State University, Murfreesboro, TN 37132, USA.

Healthcare (Basel, Switzerland)
|September 23, 2022
PubMed
Summary
This summary is machine-generated.

Chronic kidney disease (CKD) affects millions, with significant health disparities impacting minority treatment. System dynamics modeling reveals factors influencing CKD progression and highlights inherent healthcare gaps.

Keywords:
chronic kidney diseasehealthcare disparitieshealthcare interventionminority populationssystem dynamics modeling

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Area of Science:

  • Public Health
  • Health Disparities Research
  • Systems Biology

Background:

  • Chronic kidney disease (CKD) is a major public health issue in the US, affecting 37 million adults.
  • Significant health disparities exist in CKD treatment and management, particularly for minority populations.
  • Existing healthcare gaps necessitate urgent interventions to improve outcomes for affected minorities.

Purpose of the Study:

  • To apply system dynamics modeling to understand CKD progression.
  • To analyze health disparities in CKD treatment among minority groups.
  • To identify dynamic factors influencing CKD incidence and prevalence.

Main Methods:

  • Utilized system dynamics modeling to simulate CKD progression.
  • Incorporated data on health interventions for minority CKD patients.
  • Employed graphical analysis to visualize model outputs.

Main Results:

  • The model demonstrated relationships between dynamic factors affecting CKD incidence and prevalence.
  • Identified key variables influencing the progression of chronic kidney disease.
  • Highlighted the systemic nature of health disparities in CKD management.

Conclusions:

  • Health disparities are intrinsically linked to the treatment and management of CKD.
  • System dynamics modeling provides valuable insights into complex health issues like CKD.
  • Further research and interventions are needed to address healthcare gaps for minorities with CKD.