AIMC Topic: L-Lactate Dehydrogenase

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Utilization of Deep Learning for Subphenotype Identification in Sepsis-Associated Acute Kidney Injury.

Clinical journal of the American Society of Nephrology : CJASN Oct 8, 2020
BACKGROUND AND OBJECTIVES: Sepsis-associated AKI is a heterogeneous clinical entity. We aimed to agnostically identify sepsis-associated AKI subphenotypes using deep learning on routinely collected data in electronic health records.
Databases, Factual Prognosis Acute Kidney Injury Electronic Health Records Female Aged Humans Phenotype United States Creatinine L-Lactate Dehydrogenase Alanine Transaminase Bilirubin Lactic Acid Male Middle Aged Comorbidity Deep Learning Sepsis Renal Dialysis Liver Diseases Blood Urea Nitrogen Leukocyte Count Simplified Acute Physiology Score Glutamyl Aminopeptidase
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Prevalence and Predictability of Low-Yield Inpatient Laboratory Diagnostic Tests.

JAMA network open Sep 4, 2019
IMPORTANCE: Laboratory testing is an important target for high-value care initiatives, constituting the highest volume of medical procedures. Prior studies have found that up to half of all inpatient laboratory tests may be medically unnecessary, but...
L-Lactate Dehydrogenase Blood Urea Nitrogen Leukocyte Count Clinical Laboratory Techniques Hospitalization Aged Adult Sensitivity and Specificity Male Middle Aged ROC Curve Predictive Value of Tests Area Under Curve Glycated Hemoglobin Hemoglobins Troponin I Humans Machine Learning Retrospective Studies Female
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Artificial neural network algorithm model as powerful tool to predict acute lung injury following to severe acute pancreatitis.

Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.] Sep 26, 2018
OBJECTIVE: The aim of this study is to predict the risk of severe acute pancreatitis (SAP) associated with acute lung injury (ALI) by artificial neural networks (ANNs) model.
Humans Neural Networks, Computer Predictive Value of Tests Machine Learning Adult Area Under Curve Algorithms Male Acute Disease Prognosis Middle Aged L-Lactate Dehydrogenase Acute Kidney Injury Risk Assessment Oxyhemoglobins Female ROC Curve Pancreatitis Young Adult Logistic Models
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Antifungal properties and biocompatibility of silver nanoparticle coatings on silicone maxillofacial prostheses in vitro.

Journal of biomedical materials research. Part B, Applied biomaterials May 10, 2017
Patients with facial prostheses suffer from yeast, Candida albicans, infections. This study aimed to determine the biocompatibility and antifungal properties of silicone facial prostheses coated with silver nanoparticles (Ag NPs) in vitro. Medical gr...
Silver Nitrate Humans Materials Testing Candida albicans Ethanol L-Lactate Dehydrogenase Fibroblasts Cell Membrane Permeability Cell Line Coated Materials, Biocompatible Antifungal Agents Maxillofacial Prosthesis Metal Nanoparticles Silicones Silver
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Machine learning-based Diagnostic model for determining the etiology of pleural effusion using Age, ADA and LDH.

Respiratory research May 2, 2025
BACKGROUND: Classification of the etiologies of pleural effusion is a critical challenge in clinical practice. Traditional diagnostic methods rely on a simple cut-off method based on the laboratory tests. However, machine learning (ML) offers a novel...
Pleural Effusion L-Lactate Dehydrogenase Pleural Effusion, Malignant Adenosine Deaminase Aged, 80 and over Adult Male Middle Aged Cohort Studies Age Factors Humans Machine Learning Biomarkers Retrospective Studies Female Aged
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Clinical and inflammatory features based machine learning model for fatal risk prediction of hospitalized COVID-19 patients: results from a retrospective cohort study.

Annals of medicine Dec 1, 2021
OBJECTIVES: To appraise effective predictors for COVID-19 mortality in a retrospective cohort study.
SARS-CoV-2 Hospitalization Humans Aged Hypertension Aged, 80 and over Machine Learning Diabetes Mellitus Adult COVID-19 C-Reactive Protein Cardiovascular Diseases Male Interleukin-10 Ferritins Middle Aged Prognosis L-Lactate Dehydrogenase Comorbidity Retrospective Studies Clinical Decision Rules Severity of Illness Index Female China Reproducibility of Results Cohort Studies
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Evaluation of Combined Cancer Markers With Lactate Dehydrogenase and Application of Machine Learning Algorithms for Differentiating Benign Disease From Malignant Ovarian Cancer.

Cancer control : journal of the Moffitt Cancer Center Jan 1, 2021
BACKGROUND: The differential diagnosis of ovarian cancer is important, and there has been ongoing research to identify biomarkers with higher performance. This study aimed to evaluate the diagnostic utility of combinations of cancer markers classifie...
Membrane Proteins Machine Learning L-Lactate Dehydrogenase Female CA-125 Antigen Neutrophils Humans Adult Leukocyte Count Early Detection of Cancer WAP Four-Disulfide Core Domain Protein 2 Biomarkers, Tumor Diagnosis, Differential Middle Aged Ovarian Neoplasms ROC Curve Lymphocytes
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In vitro study of the nephrotoxicity of total Dahuang (Radix Et Rhizoma Rhei Palmati) anthraquinones and emodin in monolayer human proximal tubular epithelial cells cultured in a transwell chamber.

Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan Oct 1, 2019
OBJECTIVE: To examine changes in the morphology and physiological functions of human proximal tubular epithelial cells (HK-2 cells) caused by total Dahuang (Radix Et Rhizoma Rhei Palmati) anthraquinones (TDA) and emodin.
Kidney Tubules, Proximal L-Lactate Dehydrogenase Rheum gamma-Glutamyltransferase Anthraquinones Humans Gene Expression Regulation Cell Proliferation Absorption, Physicochemical Cell Line Actins Epithelial Cells Emodin Neoplasm Proteins Hepatitis A Virus Cellular Receptor 1 Glucose
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Artificial Intelligence Estimates the Importance of Baseline Factors in Predicting Response to Anti-PD1 in Metastatic Melanoma.

American journal of clinical oncology Aug 1, 2019
OBJECTIVE: Prognosis of patients with metastatic melanoma has dramatically improved over recent years because of the advent of antibodies targeting programmed cell death protein-1 (PD1). However, the response rate is ~40% and baseline biomarkers for ...
Neoplasms, Unknown Primary Humans Uveal Neoplasms Neural Networks, Computer Forecasting Neutrophils Retrospective Studies Age Factors Female Mucous Membrane Skin Neoplasms Melanoma Aged Programmed Cell Death 1 Receptor L-Lactate Dehydrogenase Survival Rate Lymphocyte Count Male Middle Aged Treatment Outcome
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[Y-27632 protects H9c2 cardiomyocytes against hypoxia/reoxygenation injury by inhibiting autophagy pathway].

Xi bao yu fen zi mian yi xue za zhi = Chinese journal of cellular and molecular immunology Nov 1, 2017
Objective To investigate the protective effect of preconditioning with Rho-kinase inhibitor Y-27632 on H9c2 cardiomyocytes against hypoxia/reoxygenation (H/R) injury, and explore its underlying mechanism. Methods H9c2 cardiomyocytes were divided into...
Animals Rats Autophagy Signal Transduction Myocytes, Cardiac Apoptosis Cell Survival Beclin-1 Cell Line Protective Agents L-Lactate Dehydrogenase Pyridines Cell Hypoxia Amides Myosin Light Chains Phosphorylation Oxygen
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