Value and Use of Urinalysis for Myoglobinuria
By LabMedica International staff writers Posted on 16 Dec 2019 |

Image: Urine from a person with rhabdomyolysis showing the characteristic brown discoloration as a result of myoglobinuria (Photo courtesy of James Heilman, MD).
Rhabdomyolysis is a syndrome involving acute muscle injury caused by numerous conditions, such as trauma), intense exercise, inflammatory or hereditary myopathies, snake toxins, seizures, alcohol or drug overdose, hyperthermia, and severe hypokalemia.
Muscle damage leads to increased serum levels of creatine phosphokinase and myoglobin, which serve as primary indicators for laboratory diagnosis. Measurements of peak levels and clearance rates of serum myoglobin have been reported to have value for predicting acute renal failure in patients with rhabdomyolysis. Its detection in urine may also serve as an aid in diagnosis and assessment of severe rhabdomyolysis, and secondarily as a biomarker for risk of renal injury.
Medical Laboratory Professionals at the Southern Arizona VA Healthcare System (Tucson, AZ, USA) conducted a retrospective observational study involving all identifiable urine myoglobin results as well as blood and microscopic red blood cell results by urinalysis. Other than general myoglobin testing method (qualitative or quantitative) no other information was available. No patient demographics or clinical information was obtained. Urine myoglobin concentrations 1,000 μg/L or greater were considered clinically significant for potential renal toxicity. Hematuria was defined as five or more red blood cells/µL
The team reported that a total of 13,139 urine myoglobin results from 88 Veterans Affairs facilities during a 15-year period ending in October 2014 were evaluated. Among methods used by each laboratory, qualitative urine myoglobin tests declined from 25 of 53 (47.1%) in 2000 to 5 of 77 (6.4%) in 2013. Of 7,311 tests (55.6%) performed by quantitative methods with concomitant urinalysis, 3.915 (53.5%) showed negative to trace blood results, of which myoglobin was 1,000 μg/L or greater in 17 (0.4%). Among 1,875 (25.5%) with 3+ (large) blood results, urine myoglobin was ≥1,000 μg/L in 273 of 1,533 (17.8%) with hematuria (≥5 red blood cells per microliter) and 109 of 342 (31.9%) without hematuria.
The authors concluded that their study provided evidence-based support for the role of urinalysis in testing for myoglobinuria. Measurement of urine myoglobin is unnecessary in cases with absent or only small amounts of blood by urinalysis which reliably excludes the presence of clinically significant myoglobinuria. Conversely, the presence of increasing amounts of blood by urinalysis progressively raises the probability of myoglobinuria, especially in the absence of hematuria. When urine myoglobin cannot be promptly and accurately measured, its value is limited to that of a confirmatory test, with marginal clinical impact when used for diagnosis and management of rhabdomyolysis compared to that provided by urinalysis results. The study was published in the November, 2019 issue of the journal Archives of Pathology & Laboratory Medicine.
Related Links:
Southern Arizona VA Healthcare System
Muscle damage leads to increased serum levels of creatine phosphokinase and myoglobin, which serve as primary indicators for laboratory diagnosis. Measurements of peak levels and clearance rates of serum myoglobin have been reported to have value for predicting acute renal failure in patients with rhabdomyolysis. Its detection in urine may also serve as an aid in diagnosis and assessment of severe rhabdomyolysis, and secondarily as a biomarker for risk of renal injury.
Medical Laboratory Professionals at the Southern Arizona VA Healthcare System (Tucson, AZ, USA) conducted a retrospective observational study involving all identifiable urine myoglobin results as well as blood and microscopic red blood cell results by urinalysis. Other than general myoglobin testing method (qualitative or quantitative) no other information was available. No patient demographics or clinical information was obtained. Urine myoglobin concentrations 1,000 μg/L or greater were considered clinically significant for potential renal toxicity. Hematuria was defined as five or more red blood cells/µL
The team reported that a total of 13,139 urine myoglobin results from 88 Veterans Affairs facilities during a 15-year period ending in October 2014 were evaluated. Among methods used by each laboratory, qualitative urine myoglobin tests declined from 25 of 53 (47.1%) in 2000 to 5 of 77 (6.4%) in 2013. Of 7,311 tests (55.6%) performed by quantitative methods with concomitant urinalysis, 3.915 (53.5%) showed negative to trace blood results, of which myoglobin was 1,000 μg/L or greater in 17 (0.4%). Among 1,875 (25.5%) with 3+ (large) blood results, urine myoglobin was ≥1,000 μg/L in 273 of 1,533 (17.8%) with hematuria (≥5 red blood cells per microliter) and 109 of 342 (31.9%) without hematuria.
The authors concluded that their study provided evidence-based support for the role of urinalysis in testing for myoglobinuria. Measurement of urine myoglobin is unnecessary in cases with absent or only small amounts of blood by urinalysis which reliably excludes the presence of clinically significant myoglobinuria. Conversely, the presence of increasing amounts of blood by urinalysis progressively raises the probability of myoglobinuria, especially in the absence of hematuria. When urine myoglobin cannot be promptly and accurately measured, its value is limited to that of a confirmatory test, with marginal clinical impact when used for diagnosis and management of rhabdomyolysis compared to that provided by urinalysis results. The study was published in the November, 2019 issue of the journal Archives of Pathology & Laboratory Medicine.
Related Links:
Southern Arizona VA Healthcare System
Latest Clinical Chem. News
- Mass Spectrometry Detects Bacteria Without Time-Consuming Isolation and Multiplication
- First Comprehensive Syphilis Test to Definitively Diagnose Active Infection In 10 Minutes
- Mass Spectrometry-Based Monitoring Technique to Predict and Identify Early Myeloma Relapse
- ‘Brilliantly Luminous’ Nanoscale Chemical Tool to Improve Disease Detection
- Low-Cost Portable Screening Test to Transform Kidney Disease Detection
- New Method Uses Pulsed Infrared Light to Find Cancer's 'Fingerprints' In Blood Plasma
- Carbon Nanotubes Help Build Highly Accurate Sensors for Continuous Health Monitoring
- Paper-Based Device Boosts HIV Test Accuracy from Dried Blood Samples
- AI-Powered Raman Spectroscopy Method Enables Rapid Drug Detection in Blood
- Novel LC-MS/MS Assay Detects Low Creatinine in Sweat and Saliva
- Biosensing Technology Breakthrough Paves Way for New Methods of Early Disease Detection
- New Saliva Test Rapidly Identifies Paracetamol Overdose
- POC Saliva Testing Device Predicts Heart Failure in 15 Minutes
- Screening Tool Detects Multiple Health Conditions from Single Blood Drop
- Integrated Chemistry and Immunoassay Analyzer with Extensive Assay Menu Offers Flexibility, Scalability and Data Commutability
- Rapid Drug Test to Improve Treatment for Patients Presenting to Hospital
Channels
Molecular Diagnostics
view channel
First-in-Class Diagnostic Blood Test Detects Axial Spondyloarthritis
Axial spondyloarthritis (axSpA) is a chronic inflammatory autoimmune condition that typically affects individuals during their most productive years, with symptoms often emerging before the age of 45.... Read more
New Molecular Label to Help Develop Simpler and Faster Tuberculosis Tests
Tuberculosis (TB), the deadliest infectious disease globally, is responsible for infecting an estimated 10 million people each year and causing over 1 million deaths annually. While chest X-rays and molecular... Read more
Biomarker Discovery Paves Way for Blood Tests to Detect and Treat Osteoarthritis
The number of individuals affected by osteoarthritis is projected to exceed 1 billion by 2050. The primary risk factor for this common, often painful chronic joint condition is aging, and, like aging itself,... Read moreHematology
view channel
New Scoring System Predicts Risk of Developing Cancer from Common Blood Disorder
Clonal cytopenia of undetermined significance (CCUS) is a blood disorder commonly found in older adults, characterized by mutations in blood cells and a low blood count, but without any obvious cause or... Read more
Non-Invasive Prenatal Test for Fetal RhD Status Demonstrates 100% Accuracy
In the United States, approximately 15% of pregnant individuals are RhD-negative. However, in about 40% of these cases, the fetus is also RhD-negative, making the administration of RhoGAM unnecessary.... Read moreImmunology
view channel
Stem Cell Test Predicts Treatment Outcome for Patients with Platinum-Resistant Ovarian Cancer
Epithelial ovarian cancer frequently responds to chemotherapy initially, but eventually, the tumor develops resistance to the therapy, leading to regrowth. This resistance is partially due to the activation... Read more
Machine Learning-Enabled Blood Test Predicts Immunotherapy Response in Lymphoma Patients
Chimeric antigen receptor (CAR) T-cell therapy has emerged as one of the most promising recent developments in the treatment of blood cancers. However, over half of non-Hodgkin lymphoma (NHL) patients... Read moreMicrobiology
view channel
New Test Diagnoses Bacterial Meningitis Quickly and Accurately
Bacterial meningitis is a potentially fatal condition, with one in six patients dying and half of the survivors experiencing lasting symptoms. Therefore, rapid diagnosis and treatment are critical.... Read more
Handheld Device Delivers Low-Cost TB Results in Less Than One Hour
Tuberculosis (TB) remains the deadliest infectious disease globally, affecting an estimated 10 million people annually. In 2021, about 4.2 million TB cases went undiagnosed or unreported, mainly due to... Read more
New AI-Based Method Improves Diagnosis of Drug-Resistant Infections
Drug-resistant infections, particularly those caused by deadly bacteria like tuberculosis and staphylococcus, are rapidly emerging as a global health emergency. These infections are more difficult to treat,... Read more
Breakthrough Diagnostic Technology Identifies Bacterial Infections with Almost 100% Accuracy within Three Hours
Rapid and precise identification of pathogenic microbes in patient samples is essential for the effective treatment of acute infectious diseases, such as sepsis. The fluorescence in situ hybridization... Read morePathology
view channel
AI-Based Liquid Biopsy Approach to Revolutionize Brain Cancer Detection
Detecting brain cancers remains extremely challenging, with many patients only receiving a diagnosis at later stages after symptoms like headaches, seizures, or cognitive issues appear. Late-stage diagnoses... Read more
AI-Driven Analysis of Digital Pathology Images to Improve Pediatric Sarcoma Subtyping
Pediatric sarcomas are rare and diverse tumors that can develop in various types of soft tissue, such as muscle, tendons, fat, blood or lymphatic vessels, nerves, or the tissue surrounding joints.... Read more
AI-Based Model Predicts Kidney Cancer Therapy Response
Each year, nearly 435,000 individuals are diagnosed with clear cell renal cell carcinoma (ccRCC), making it the most prevalent subtype of kidney cancer. When the disease spreads, anti-angiogenic therapies... Read more
Sensitive and Specific DUB Enzyme Assay Kits Require Minimal Setup Without Substrate Preparation
Ubiquitination and deubiquitination are two important physiological processes in the ubiquitin-proteasome system, responsible for protein degradation in cells. Deubiquitinating (DUB) enzymes contain around... Read moreTechnology
view channel
Advanced Predictive Algorithms Identify Patients Having Undiagnosed Cancer
Two newly developed advanced predictive algorithms leverage a person’s health conditions and basic blood test results to accurately predict the likelihood of having an undiagnosed cancer, including ch... Read more
Light Signature Algorithm to Enable Faster and More Precise Medical Diagnoses
Every material or molecule interacts with light in a unique way, creating a distinct pattern, much like a fingerprint. Optical spectroscopy, which involves shining a laser on a material and observing how... Read more
Disposable Microchip Technology Could Selectively Detect HIV in Whole Blood Samples
As of the end of 2023, approximately 40 million people globally were living with HIV, and around 630,000 individuals died from AIDS-related illnesses that same year. Despite a substantial decline in deaths... Read more
Pain-On-A-Chip Microfluidic Device Determines Types of Chronic Pain from Blood Samples
Chronic pain is a widespread condition that remains difficult to manage, and existing clinical methods for its treatment rely largely on self-reporting, which can be subjective and especially problematic... Read moreIndustry
view channel
Cepheid and Oxford Nanopore Technologies Partner on Advancing Automated Sequencing-Based Solutions
Cepheid (Sunnyvale, CA, USA), a leading molecular diagnostics company, and Oxford Nanopore Technologies (Oxford, UK), the company behind a new generation of sequencing-based molecular analysis technologies,... Read more
Grifols and Tecan’s IBL Collaborate on Advanced Biomarker Panels
Grifols (Barcelona, Spain), one of the world’s leading producers of plasma-derived medicines and innovative diagnostic solutions, is expanding its offer in clinical diagnostics through a strategic partnership... Read more