[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 …
patients, and the mainstay of therapy is diuresis. Unfortunately, the diuretic response in …
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 …
patients, and the mainstay of therapy is diuresis. Unfortunately, the diuretic response in …
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 …
beneficiaries resulting in approximately one million hospitalizations annually and …
Natriuretic equation to predict loop diuretic response in patients with heart failure
VS Rao, JB Ivey-Miranda, ZL Cox, R Riello… - Journal of the American …, 2021 - jacc.org
Background Most acute decompensated heart failure admissions are driven by congestion.
However, residual congestion is common and often driven by the lack of reliable tools to …
However, residual congestion is common and often driven by the lack of reliable tools to …
[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 …
(DR) in patients with decompensated heart failure during hospitalization. Methods: The data …
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 …
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 …
critically ill patients. Materials and method ICU adults requiring more than 1 mg/kg/day of …
Computerized decision support to assess the kidney function in critically ill patients
C Huang - 2023 - lirias.kuleuven.be
In critically ill patients, both increased and decreased renal clearance are highly prevalent
and may vary during the course of critical illness. Acute kidney injury is a type of organ …
and may vary during the course of critical illness. Acute kidney injury is a type of organ …
Mechanisms of Diuretic Resistance Study: design and rationale
ZL Cox, J Fleming, J Ivey‐Miranda, M Griffin… - ESC Heart …, 2020 - Wiley Online Library
Introduction Diuretic resistance is a common complication impairing decongestion during
hospitalization for acute decompensated heart failure (ADHF). The current understanding of …
hospitalization for acute decompensated heart failure (ADHF). The current understanding of …
Machine learning vs. traditional regression analysis for fluid overload prediction in the ICU
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 …
predict and may be influenced by ICU medication use. Machine learning (ML) approaches …