1.Suprascapular nerve neuropathy secondary to spinoglenoid notch ganglion cyst: case reports and review of literature.
Bernard C S LEE ; Muthukaruppan YEGAPPAN ; Palaniappan THIAGARAJAN
Annals of the Academy of Medicine, Singapore 2007;36(12):1032-1035
INTRODUCTIONSuprascapular nerve neuropathy secondary to ganglion cyst impingement has increasingly been found to be a cause of shoulder pain.
CLINICAL PICTUREWe present 2 patients who complained of dull, poorly localised shoulder pain, which worsened with overhead activities. Magnetic resonance imaging showed ganglion cysts in the spinoglenoid notch.
TREATMENTBoth patients failed conservative management with physiotherapy and underwent shoulder arthroscopy. One patient underwent arthroscopic decompression of the cyst and the other had open excision of the cyst.
OUTCOMEBoth patients experienced resolution of symptoms within 6 months of surgery.
CONCLUSIONWith appropriate treatment, suprascapular nerve neuropathy secondary to ganglion cyst impingement is a treatable condition with potentially good results.
Adult ; Female ; Ganglion Cysts ; complications ; pathology ; surgery ; Humans ; Magnetic Resonance Imaging ; Male ; Middle Aged ; Nerve Compression Syndromes ; etiology ; surgery ; Peripheral Nervous System Diseases ; etiology ; surgery ; Risk Factors ; Scapula ; Shoulder Impingement Syndrome ; etiology ; surgery ; Shoulder Pain ; etiology ; surgery
2.Diagnostic accuracy of Serum 1,5-anhydroglucitol as a surrogate measure of Glycemic variability among adult Filipinos with Type 2 Diabetes Mellitus: A retrospective cross-sectional study
Ainee Krystelle C. Lee ; Joebeth S. Tabora ; Christian Bernard T Cheng ; Rosa Allyn Sy
Philippine Journal of Internal Medicine 2022;60(4):270-277
Background:
Among the various glycemic indices in current use, glycemic variability has the greatest contribution in the
development of microvascular and macrovascular complications in Type 2 Diabetes mellitus (T2DM). Most metrics that are currently used to measure glycemic variability are derived from continuous glucose monitoring (CGM) data. However, CGM is burdensome to the patient due to its relatively high cost as well as the need for multiple visits with the health care provider. With the use of serum 1,5-anhydroglucitol (1,5-AG) as a biomarker of glucose fluctuations, physicians and patients alike could have an easier surrogate measure of glycemic variability thus aiding in achieving target glucose control. This study
aims to determine the diagnostic accuracy of 1,5-AG as compared to the glycemic variability metrics derived from CGM as a surrogate measure of glycemic variability among adult Filipinos with T2DM.
Methods:
Retrospective analysis of data of adult patients aged 20 years old and above diagnosed with T2DM referred for CGM at the Diabetes, Endocrine, Metabolic, and Nutrition Center of Cardinal Santos Medical Center from January 2017 to October 2021 who underwent serum 1,5-AG level determination within 2 weeks of CGM were collected. Diagnostic accuracy was obtained by computing the sensitivity, specificity, positive (PPV) and negative predictive values (NPV), and Youden index. Pearson correlation coefficient was used to determine the correlation of 1,5-AG and the different metrics. Analysis of variance (ANOVA) was used to check for statistical significance with 99% confidence interval and a p < 0.05 considered as statistically significant.
Results:
This study involving 37 subjects showed a good diagnostic accuracy of serum 1,5-AG levels with the different measures of glycemic variability derived from CGM namely mean amplitude of glycemic excursion (MAGE), continuous overlapping net glycemic action at 1-hour intervals (CONGA-1), and mean of daily differences (MODD) with significant correlation among patients with HbA1c ≤ 7%. Subjects were on CGM for approximately 6 ± 1 day with statistically significant difference between the good and poor glucose control group (p<0.05). Determination of diagnostic accuracy between 1,5- AG and MAGE showed good accuracy (Sensitivity = 95.3%, Specificity = 100%, PPV = 100%, NPV = 75.43%, Diagnostic
accuracy 96%, and a Youden Index of 92.3) with a statistically significant correlation among subjects with HbA1c level ≤ 7% (p=0.021). There is likewise good diagnostic accuracy between CONGA-1 and 1,5-AG level (Sensitivity = 99%, Specificity = 75.29%, PPV = 89.1%, NPV = 97%, Accuracy = 89.50% and Youden index of 58.41) with a statistically significant correlation among subjects with HbA1c ≤ 7% (p=0.038). Comparison with interday glycemic variability showed fair diagnostic accuracy
between MODD and 1,5-AG (Sensitivity = 79.17%, Specificity = 78%, PPV = 97%, NPV = 32%, Accuracy = 76.89%, and Youden index of 49.07) and a statistically significant correlation among subjects with HbA1c ≤ 7% (p=0.009).
Conclusion
There is good diagnostic accuracy of serum 1,5-AG levels with the different measures of glycemic variability derived from CGM namely MAGE, CONGA-1, and MODD with significant correlation among patients with HbA1c ≤ 7%. Among diabetics with HbA1c ≤7%, 1,5-AG could be used as a surrogate measure of glycemic variability and excursions.
Diabetes Mellitus, Type 2