Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Heart Failure Drugs: Diuretics01:22

Heart Failure Drugs: Diuretics

441
Heart failure and kidney perfusion are interconnected in a complex way. Reduced renal perfusion and venous congestion are two significant factors that contribute to renal dysfunction in heart failure. The kidneys, primarily responsible for fluid balance in the body, are adversely affected due to compromised cardiac output and increased venous pressure. In response to reduced renal perfusion, the kidneys activate neurohumoral mechanisms to restore balance. However, these mechanisms can be...
441
Antihypertensive Drugs: Action of Diuretics01:16

Antihypertensive Drugs: Action of Diuretics

827
Diuretics are antihypertensive drugs used to treat hypertension resulting from sodium and water retention. Sodium, vital for fluid balance and nerve or muscle function, is regulated by the kidneys through millions of nephrons. Blood enters nephrons via afferent arterioles, which branch into capillaries called glomeruli. These filter blood plasma, allowing water and solutes, like sodium ions, to pass through capillary walls into Bowman's capsule. The filtrate then flows through various...
827
Antihypertensive Drugs: Potassium-Sparing Diuretics01:28

Antihypertensive Drugs: Potassium-Sparing Diuretics

675
Liddle syndrome is a genetically inherited form of hypertension characterized by the overactivity of epithelial sodium channels in the nephron, the functional unit of the kidney. This heightened activity leads to increased sodium reabsorption and excessive excretion of potassium. To counteract this, potassium-sparing diuretics such as amiloride are used. They function by blocking these sodium channels, thereby reducing the influx of sodium into the epithelial cells and minimizing the loss of...
675
Antihypertensive Drugs: Thiazide-Class Diuretics01:15

Antihypertensive Drugs: Thiazide-Class Diuretics

795
Thiazide diuretics are sulfonamide derivatives featuring a benzothiadiazine ring system in their molecular structure. Based on this structure, thiazide diuretics can be categorized into two groups: thiazide-type and thiazide-like diuretics. Thiazide-type diuretics, including hydrochlorothiazide and chlorothiazide, consist of a benzothiadiazine backbone with an attached sulfonamide group. Thiazide-like diuretics, such as chlorthalidone and indapamide, lack the thiazide ring but demonstrate...
795
Heart Failure Drugs: Inhibitors of Renin-Angiotensin System01:26

Heart Failure Drugs: Inhibitors of Renin-Angiotensin System

481
The activation of the sympathetic nervous system and the renin-angiotensin-aldosterone system (RAAS) contributes to cardiac remodeling, and inhibiting the RAAS is a pharmacological target in heart failure management. As a result, neurohumoral modulation is a crucial treatment principle for managing heart failure. This approach involves using medications like ACE inhibitors (ACEIs), angiotensin receptor blockers (ARBs), β-blockers, mineralocorticoid receptor antagonists (MRAs), and neutral...
481
Heart Failure V: Medical Management01:30

Heart Failure V: Medical Management

19
Medical Management of Acute Decompensated Heart Failure (ADHF)The primary goals of therapy for patients hospitalized with acute decompensated heart failure (ADHF) include:Relieving symptomsOptimizing volume statusSupporting oxygenation and ventilationMaintaining cardiac output (CO) and end-organ perfusionIdentifying and addressing the cause of ADHFPreventing complicationsProviding patient education on factors precipitating HF exacerbationPlanning for dischargeOngoing monitoring and assessment...
19

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A Framework for Risk-Based Implementation of Combination Therapy in CKD: Who, Why, When, and How?

Clinical journal of the American Society of Nephrology : CJASN·2026
Same author

Physical Function Decline Among Adults With Moderate-to-Severe CKD.

Kidney international reports·2026
Same author

Modelled CKD Benefits of Broad Sodium-Glucose Cotransporter-2 Inhibitor Eligibility in the UK.

Kidney international reports·2026
Same author

Effects of Increasing the Concentration of Dialysate Magnesium on Cardiovascular Health: A Narrative Review.

Canadian journal of kidney health and disease·2026
Same author

Development and Validation of a Canadian Prediction Equation for Incident CKD Using Population-Based, Administrative Data.

Canadian journal of kidney health and disease·2026
Same author

Physician Variability in Time to Kidney Biopsy and Glucocorticoid Prescription in IgA Nephropathy: A Population-Based Cohort Study.

Kidney360·2026
Same journal

Impact of APOL1-Associated Pregnancy Complications on Kidney Disease Phenotypes in a HIV-Associated Nephropathy Mouse Model.

Kidney360·2026
Same journal

Risk Prediction of 2-Year Incident Cognitive Impairment in Maintenance Hemodialysis Patients: A Multicenter Prospective Cohort Study.

Kidney360·2026
Same journal

Anti-Glomerular Basement Membrane Nephritis Post-Renal Transplant in Alport Syndrome Patients.

Kidney360·2026
Same journal

Non-Classical Monocyte Expansion Is Independently Associated with Anemia Severity in Patients with ESKD: The Immunity in End-Stage Renal Disease Cohort-Study.

Kidney360·2026
Same journal

Adult-Onset Hereditary Thrombotic Thrombocytopenic Purpura Presenting as Kidney Failure: A Heterozygous ADAMTS13 Variant and Possible Modifying Polymorphisms.

Kidney360·2026
Same journal

Impact of Prior Adverse Pregnancy Outcome on Kidney Structure and Function in Kidney Donors.

Kidney360·2026
See all related articles

Related Experiment Video

Updated: Aug 12, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

8.3K

A Machine Learning Model to Predict Diuretic Resistance.

Joey A Mercier1, Thomas W Ferguson1,2, Navdeep Tangri1,2

  • 1Department of Internal Medicine, University of Manitoba, Winnipeg, Manitoba, Canada.

Kidney360
|January 26, 2023
PubMed
Summary
This summary is machine-generated.

A new machine learning model accurately predicts diuretic resistance in intensive care unit patients before treatment. This tool helps clinicians optimize diuretic dosing for better patient outcomes.

More Related Videos

Detrusor Underactivity Model in Rats by Conus Medullaris Transection
03:26

Detrusor Underactivity Model in Rats by Conus Medullaris Transection

Published on: August 28, 2020

2.1K
Author Spotlight: Network Pharmacology and Molecular Docking to Decipher the Action of Jiawei Shengjiang San Against Diabetic Kidney Disease
08:15

Author Spotlight: Network Pharmacology and Molecular Docking to Decipher the Action of Jiawei Shengjiang San Against Diabetic Kidney Disease

Published on: May 10, 2024

625

Related Experiment Videos

Last Updated: Aug 12, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

8.3K
Detrusor Underactivity Model in Rats by Conus Medullaris Transection
03:26

Detrusor Underactivity Model in Rats by Conus Medullaris Transection

Published on: August 28, 2020

2.1K
Author Spotlight: Network Pharmacology and Molecular Docking to Decipher the Action of Jiawei Shengjiang San Against Diabetic Kidney Disease
08:15

Author Spotlight: Network Pharmacology and Molecular Docking to Decipher the Action of Jiawei Shengjiang San Against Diabetic Kidney Disease

Published on: May 10, 2024

625

Area of Science:

  • Nephrology
  • Critical Care Medicine
  • Machine Learning in Healthcare

Background:

  • Volume overload is common in hospitalized patients, often treated with diuretics.
  • Diuretic resistance, an inadequate response to loop diuretics, complicates treatment.
  • Predicting diuretic resistance pre-treatment can guide optimal diuretic dosing.

Purpose of the Study:

  • To develop and validate a machine learning model to predict diuretic resistance in intensive care unit (ICU) patients.
  • To identify key variables that predict diuretic resistance.
  • To create a tool for bedside implementation to inform diuretic therapy.

Main Methods:

  • Utilized two large ICU databases (MIMIC-III and eICU).
  • Defined loop diuretic resistance as <1400 ml urine per 40 mg diuretic dose in 24 hours.
  • Developed an ensemble model using XGBoost with 21 pre-dosing variables, validated on an independent dataset.

Main Results:

  • The ensemble model achieved 92% specificity in external validation.
  • Key predictors of diuretic resistance included higher serum creatinine, lower systolic blood pressure, lower serum chloride, older age, and female sex.
  • The model demonstrated good overall discrimination (C-statistic 0.69).

Conclusions:

  • A validated machine learning model for diuretic resistance prediction in ICU patients was developed.
  • The model is user-friendly and can be integrated into electronic medical records for clinical decision support.
  • This study establishes a framework for future machine learning model development in critical care.