A machine learning model to predict diuretic resistance

JA Mercier, TW Ferguson, N Tangri - Kidney360, 2023 - journals.lww.com
Background Volume overload is a common complication encountered in hospitalized
patients, and the mainstay of therapy is diuresis. Unfortunately, the diuretic response in …

[引用][C] Original Investigation A Machine Learning Model to Predict Diuretic Resistance

JA Mercier, TW Ferguson, N Tangri - europepmc.org
Background Volume overload is a common complication encountered in hospitalized
patients, and the mainstay of therapy is diuresis. Unfortunately, the diuretic response in …

[HTML][HTML] Diuretic resistance prediction and risk factor analysis of patients with heart failure during hospitalization

X Lu, Y Xin, J Zhu, W Dong, TP Guan, JY Li, Q Li - Global Heart, 2022 - ncbi.nlm.nih.gov
Objectives: This study performed a prediction and risk factor analysis of diuretic resistance
(DR) in patients with decompensated heart failure during hospitalization. Methods: The data …

The war of attrition on diuretic resistance: we need to open a third front

A Kazory - Cardiorenal Medicine, 2023 - karger.com
Acute heart failure (AHF) is the most common hospital discharge diagnosis among Medicare
beneficiaries resulting in approximately one million hospitalizations annually and …

Machine learning-based prediction model for volume responsiveness in critically ill patients with oliguric acute kidney injury

Y Hui, J Cao, Y Zhou, Y Wang, C Wen - 2023 - researchsquare.com
Methods We selected AKI patients from the US-based critical care database (Medical
Information Mart for Intensive Care, MIMIC-IV2. 2) who had urine output< 0.5 ml/kg/h in the …

[HTML][HTML] Diuretic strategies in patients with resistance to loop-diuretics in the intensive care unit: A retrospective study from the MIMIC-III database

JM Cote, J Bouchard, PT Murray… - Journal of Critical …, 2021 - Elsevier
Purpose To investigate various diuretic strategies to alleviate loop-diuretics resistance in
critically ill patients. Materials and method ICU adults requiring more than 1 mg/kg/day of …

Validation of natriuretic response prediction equation in patients with acute decompensated heart failure

O Gleason, G Meegan, J Fleming, M Griffin… - Journal of Cardiac …, 2020 - Elsevier
Introduction The majority of acute decompensated heart failure (ADHF) admissions are
driven by congestion. Sodium is the primary pathophysiologic driver of volume retention …

Machine learning vs. traditional regression analysis for fluid overload prediction in the ICU

A Sikora, T Zhang, DJ Murphy, SE Smith, B Murray… - Scientific Reports, 2023 - nature.com
Fluid overload, while common in the ICU and associated with serious sequelae, is hard to
predict and may be influenced by ICU medication use. Machine learning (ML) approaches …

Explainable machine learning model for predicting furosemide responsiveness in patients with oliguric acute kidney injury

M Jiang, C Pan, J Li, L Xu, C Li - Renal Failure, 2023 - Taylor & Francis
Background Although current guidelines didn't support the routine use of furosemide in
oliguric acute kidney injury (AKI) management, some patients may benefit from furosemide …

Role of loop diuretic challenge in stage 3 acute kidney injury

A Sakhuja, G Bandak, EF Barreto… - Mayo Clinic …, 2019 - Elsevier
Objective To assess whether loop diuretic challenge predicts the need for dialysis among
critically ill patients with acute kidney injury (AKI) stage 3. Patients and Methods Adult …