Related Experiment Video
Updated: Feb 7, 2026

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
Published on: August 16, 2020
Hypophosphatemia in the setting of metabolic bone disease: case reports and diagnostic algorithm
Alvin Lee Day1, Sarah L Morgan2, Kenneth G Saag2
1University of Alabama at Birmingham, Division of Clinical Immunology and Rheumatology, 1720 2nd Avenue South, FOT 839, Birmingham, AL 35294, USA.
Abstract:
Osteoporosis is the most commonly encountered metabolic bone disease, and metabolic bone-disease clinics have been established to assist in the diagnosis and treatment of uncommon causes of low bone-mineral density. Hypophosphatemia leading to metabolic bone disease may be encountered, and an understanding of phosphate homeostasis can aid in the diagnosis. Two cases of hypophosphatemia leading to low bone-mineral densities were seen at the University of Alabama at Birmingham Osteoporosis Clinic. We developed a diagnostic algorithm, and the laboratory values of each patient were tested with the algorithm. The algorithm, incorporating the use of a spot urine phosphate and spot urine creatinine level at the time of initial serum metabolic profile evaluation, accurately determined the cause of hypophosphatemia in each case.
More Related Videos
Related Concept Videos
Rheumatic Heart Disease II: Clinical Manifestations and Diagnostic Studies
Peripheral Arterial Disease II: Clinical Manifestations and Diagnostic Evaluation
What is Metabolism?
Chronic Obstructive Pulmonary Disease-IV: Assessement and Diagnostic Studies
Medical History
Peptic Ulcer Disease III: Clinical Manifestations and Diagnostic Studies
Few clinical manifestations differentiate gastric ulcers from duodenal ulcers. Distinctions in the location, timing, and pain relief are crucial for healthcare providers in differentiating between gastric and duodenal ulcers during clinical assessments.
Trial and Error and Algorithm

