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Related Concept Videos

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 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 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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Chronic Kidney Disease IV: Nursing Management01:18

Chronic Kidney Disease IV: Nursing Management

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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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Acute Kidney Injury IV: Diagnostic Studies and Prevention01:30

Acute Kidney Injury IV: Diagnostic Studies and Prevention

53
Accurate diagnosis and effective prevention are critical in managing Acute Kidney Injury (AKI), which is linked to high mortality rates ranging from 10% to 80%. Timely recognition of at-risk patients and careful monitoring can significantly reduce the likelihood of kidney damage.Diagnostic Assessments:The diagnostic process starts with a comprehensive medical history to identify prerenal, intrarenal, and postrenal causes.Prerenal causes, such as dehydration, hypotension, or blood loss, should...
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Kidney Transplant I: Introduction01:28

Kidney Transplant I: Introduction

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A kidney transplant is a surgical approach that involves replacing a non-functioning kidney with a healthy one from a donor. This procedure is often a treatment option for end-stage renal disease (ESRD) patients. The method requires careful recipient selection, including evaluating various medical and psychosocial factors. These criteria vary between transplant centers but generally include assessments of the patient's overall health, adherence to medical recommendations, and lifestyle...
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Related Experiment Video

Updated: Aug 28, 2025

Comparative Proteomic Analysis of Whole Kidney, Medulla, and Cortical Tubules in Diabetic Pathogenesis of Kidney Injury in Mice
10:31

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Nomogram-Based Chronic Kidney Disease Prediction Model for Type 1 Diabetes Mellitus Patients Using Routine

Nakib Hayat Chowdhury1,2, Mamun Bin Ibne Reaz1, Sawal Hamid Md Ali1

  • 1Department of Electrical, Electronic and Systems Engineering, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia.

Journal of Personalized Medicine
|September 23, 2022
PubMed
Summary
This summary is machine-generated.

This study developed a prediction model to detect chronic kidney disease (CKD) in Type 1 diabetes mellitus (T1DM) patients early. The model uses routine data and achieved high accuracy, aiding timely intervention.

Keywords:
chronic kidney diseaseearly detectionmachine learningnomogramprediction modeltype 1 diabetes mellitus

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Area of Science:

  • Nephrology
  • Endocrinology
  • Data Science

Background:

  • Type 1 diabetes mellitus (T1DM) poses a significant risk for developing chronic kidney disease (CKD).
  • CKD often remains asymptomatic in T1DM patients, leading to delayed diagnosis as routine checkups may not include specific CKD tests.
  • Early detection of CKD in T1DM is crucial for timely management and preventing disease progression.

Purpose of the Study:

  • To develop and validate a predictive model for CKD in T1DM patients.
  • To utilize readily available data from routine checkups for early CKD detection.
  • To create a nomogram for simplified clinical application of the CKD prediction model.

Main Methods:

  • Utilized longitudinal data from 1375 T1DM patients from the EDIC clinical trials (16 years, 28 sites).
  • Applied feature ranking algorithms (XGB, RF, ERT) to 17 routinely available features.
  • Developed a multivariate logistic regression model using top-ranked features and validated its performance.

Main Results:

  • Identified hypertension, diabetes duration, drinking habit, triglycerides, ACE inhibitors, LDL cholesterol, age, and smoking habit as key predictors.
  • The final multivariate logistic regression model achieved 90.04% accuracy on internal data and 88.59% on test data.
  • A nomogram was generated for practical clinical use.

Conclusions:

  • The developed prediction model demonstrates excellent performance for identifying CKD in T1DM patients.
  • The model facilitates early CKD detection during routine patient checkups.
  • This tool can significantly improve CKD management in the T1DM population.