OʼBrien, Travis G.

Abstract Objective Gray scale ultrasound (US) has been demonstrated to be a sensitive and specific tool in the diagnosis of pediatric neuromuscular disease (NMD). With recent advances in genetic testing, the diagnostic work up for NMD has evolved. The purpose of this study was to compare the current diagnostic value of gray scale US to previously defined sensitivities and specificities to determine when this test can add value to a patient's diagnostic workup. Methods Standardized quantitative gray scale US imaging was performed on 148 pediatric patients presenting for electrodiagnostic testing to evaluate for NMD. Patients were categorized as having an NMD, a non‐NMD, or as “uncertain.” The US results were defined as normal, borderline or abnormal based on echointensity values. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy of the test were calculated. Results Forty‐five percent of the patients had an NMD, 54% a non‐NMD, and in 1% the diagnosis remained uncertain. US was abnormal in 73% of myopathies, 63% of neuromuscular junction disorders, 60% of generalized neuropathies and 58% of focal neuropathies. After excluding patients in whom muscle US was not expected to be abnormal (eg, sensory neuropathy), sensitivity was 83%, specificity 79%, PPV 75%, NPV 86%, and accuracy 81%. Conclusions Quantitative gray scale muscle US still has good diagnostic value as a screening tool in pediatric NMD. As with any diagnostic test, muscle US is best used in conjunction with history and physical examination to increase specificity and diagnostic yield.

Abstract Catechol-O-methyltransferase (COMT) regulates extracellular catecholamines. A widely studied COMT single nucleotide polymorphism (rs4680) changes the translated amino acid from valine to methionine (Val158Met); the polymorphism has been shown to influence opioid use. The aims of this study were to investigate the influence of COMT Val158Met on the likelihood and dose of opioid use in adults with chronic pain. Adults with chronic pain consecutively admitted to an outpatient pain rehabilitation program were recruited for study participation (N = 298). Individuals were genotyped for COMT Val158Met (rs4680). The polymorphism was analyzed using an additive and codominant genotype model. The distribution of genotypes was 23% (N = 70) for Val/Val, 49% (N = 146) for Val/Met, and 27% (N = 82) for Met/Met (Hardy–Weinberg, P > 0.90). No significant association was observed between opioid use and genotype under the additive model; however, a significant association was observed under the codominant model (P = 0.027). A post hoc comparison demonstrated that the Met/Met genotype was more likely to use opioids compared with the Val/Met genotype (P = 0.0089). No significant association was observed between morphine equivalent dose and genotype under the additive model; however, a significant association was observed under the codominant model (P = 0.0496). A post hoc comparison demonstrated that the Val/Met (P = 0.019) and Met/Met (P = 0.043) genotypes used greater morphine equivalent dose compared with the Val/Val genotype. This study extends key knowledge about the influence of the Met/Met genotype and Met allele on opioid use in adults with chronic pain.

ABSTRACTIntroductionUltrasound is increasingly used as an adjunct in the diagnosis of neuromuscular disease by measuring muscle thickness and echointensity (EI). Reproducibility is limited because of variations in scanning technique and proprietary algorithms that alter EI values.MethodsWe developed a standardized scanning protocol and a portable machine without any postimaging processing. Ten subjects underwent scanning of 6 muscles by 3 sonographers on 2 separate days. One of the sonographers repeated the protocol with 4 different machine/transducer combinations. Gray‐scale values were measured from each image with the use of a region of interest (ROI) box.ResultsCombined intraclass correlation coefficients were 0.92 (intra‐rater), 0.88 (inter‐rater), and 0.96 (inter‐system). The biceps had the highest variability (coefficient of variance [COV] 12.7%), and the medial gastrocnemius had the lowest variability (COV 7.4%).ConclusionsWe demonstrate excellent reliability of a reproducible ultrasound system for gray‐scale analysis of muscle that has potential applicability as a screening tool for neuromuscular disease. Muscle Nerve 56: 408–412, 2017