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Dive into the research topics where Eduardo Ng is active.

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Featured researches published by Eduardo Ng.


Neurology | 2007

IV immunoglobulin in patients with myasthenia gravis : A randomized controlled trial

Lorne Zinman; Eduardo Ng; Vera Bril

Objective: We aimed to determine the effectiveness of IV immunoglobulin (IVIG) in the treatment of patients with myasthenia gravis (MG) and worsening weakness in a randomized, placebo-controlled, masked study. Methods: Fifty-one patients with worsening weakness due to MG were randomized to infusion with 2 g/kg of IVIG or an equivalent volume of IV dextrose 5% in water. The Quantitative Myasthenia Gravis (QMG) Score for Disease Severity, a validated clinical composite scale, was calculated by a masked observer at baseline and days 14 and 28. Results: In IVIG-treated patients, a clinically meaningful improvement in QMG Score for Disease Severity was observed at day 14 and persisted at day 28. The greatest improvement occurred in patients with more severe disease as defined by a QMG Score for Disease Severity greater than 10.5. Conclusion: This study provides level 1 evidence for the effectiveness of IV immunoglobulin in patients with worsening weakness due to myasthenia gravis.


Diabetes Care | 2010

Prediction of Incident Diabetic Neuropathy Using the Monofilament Examination A 4-year prospective study

Bruce A. Perkins; Andrej Orszag; Mylan Ngo; Eduardo Ng; Patti New; Vera Bril

OBJECTIVE To determine the specific monofilament examination score that predicts the subsequent 4-year incidence of diabetic neuropathy with the highest degree of diagnostic accuracy. RESEARCH DESIGN AND METHODS Longitudinal follow-up of 175 of 197 (89%) participants in the Toronto Diabetic Neuropathy Cohort without baseline neuropathy for incident neuropathy. We examined the baseline monofilament examination score (and other simple sensory screening tests) by receiver operating characteristic (ROC) curve analysis. RESULTS Incident diabetic neuropathy developed in 50 (29%) participants over a mean follow-up of 4.1 years (interquartile range 2.6–7.1 years). Although male sex, longer diabetes duration, taller height, and higher blood pressure at baseline were associated with incident neuropathy, the strongest association was with a lower baseline monofilament score (score out of 8 was 3.7 ± 2.5 for incident neuropathy vs. 5.7 ± 2.3 for those who did not develop neuropathy; P < 0.001). The optimal threshold score for risk of incident neuropathy was ≤5 sensate stimuli out of 8, with 72% sensitivity, 64% specificity, positive and negative likelihood ratios of 2.5 and 0.35, and positive and negative predictive values of 87 and 46%, respectively (χ2 = 20.7, P < 0.001). Area under the ROC curve was significantly greater for the monofilament examination compared with that for other simple sensory tests. CONCLUSIONS A simple threshold of ≤5 sensate stimuli out of 8 discriminates 4-year risk of diabetic neuropathy with acceptable operating characteristics. Although there are limitations in its specificity for prediction of future neuropathy onset, the monofilament examination is appropriate as a simple diabetic neuropathy screening instrument generalizable to the clinical setting.


Journal of Diabetes and Its Complications | 2016

Validation of cooling detection threshold as a marker of sensorimotor polyneuropathy in type 2 diabetes

Mohammed A. Farooqi; Leif E. Lovblom; Zoe Lysy; Ilia Ostrovski; Elise M. Halpern; Mylan Ngo; Eduardo Ng; Andrej Orszag; Ari Breiner; Vera Bril; Bruce A. Perkins

AIM We aimed to validate the performance cooling detection thresholds (CDT) to detect diabetic sensorimotor polyneuropathy (DSP) in type 2 diabetes. METHODS Two hundred and twenty participants with type 2 diabetes underwent clinical and electrophysiological examinations including 3 small fiber function tests: CDT, heart rate variability (HRV) and LDIFLARE. Clinical DSP was defined by consensus criteria whereas preclinical DSP was defined by presence of at least one electrophysiological abnormality. Area under the curve (AUC) and optimal thresholds were determined by receiver operating characteristic curves. RESULTS Participants were aged 63 ± 11 years with mean HbA1c of 7.5 ± 1.6%. The 139 (63%) clinical DSP cases had mean CDT values of 18.3 ± 8.9°C; the 52 (24%) preclinical DSP cases had 25.3 ± 3.5°C; and the 29 (13%) controls had 27.1 ± 3.8°C; (p-value<0.02 for all comparisons). For identification of clinical DSP cases, AUCCDT was 0.79 which exceeded AUCHRV (0.60, p=<0.0001) and AUCLDI FLARE (0.69, p=0.0003), optimal threshold <22.8°C (64% sensitivity, 83% specificity). Preclinical DSP AUCCDT was 0.80, also exceeding the other 2 measures (p<0.02 for both comparisons), optimal threshold ≤27.5°C (83% sensitivity, 72% specificity). CONCLUSIONS CDT had good diagnostic performance for identification of both clinical and preclinical neuropathy in type 2 diabetes. Its use as a non-invasive screening tool should be considered for research and clinical practice.


Journal of Diabetes and Its Complications | 2017

Agreement between automated and manual quantification of corneal nerve fiber length: Implications for diabetic neuropathy research

Daniel Scarr; Leif E. Lovblom; Ilia Ostrovski; Dylan Kelly; Tong Wu; Mohammed A. Farooqi; Elise M. Halpern; Mylan Ngo; Eduardo Ng; Andrej Orszag; Vera Bril; Bruce A. Perkins

AIMS Quantification of corneal nerve fiber length (CNFL) by in vivo corneal confocal microscopy represents a promising diabetic neuropathy biomarker, but applicability is limited by resource-intensive image analysis. We aimed to evaluate, in cross-sectional analysis of non-diabetic controls and patients with type 1 and type 2 diabetes with and without neuropathy, the agreement between manual and automated analysis protocols. METHODS Sixty-eight controls, 139 type 1 diabetes, and 249 type 2 diabetes participants underwent CNFL measurement (N=456). Neuropathy status was determined by clinical and electrophysiological criteria. CNFL was determined by manual (CNFLManual, reference standard) and automated (CNFLAuto) protocols, and results were compared for correlation and agreement using Spearman coefficients and the method of Bland and Altman (CNFLManual subtracted from CNFLAuto). RESULTS Participants demonstrated broad variability in clinical characteristics associated with neuropathy. The mean age, diabetes duration, and HbA1c were 53±18years, 15.9±12.6years, and 7.4±1.7%, respectively, and 218 (56%) individuals with diabetes had neuropathy. Mean CNFLManual was 15.1±4.9mm/mm2, and mean CNFLAuto was 10.5±3.7mm/mm2 (CNFLAuto underestimation bias, -4.6±2.6mm/mm2 corresponding to -29±17%). Percent bias was similar across non-diabetic controls (-33±12%), type 1 (-30±20%), and type 2 diabetes (-28±16%) subgroups (ANOVA, p=0.068), and similarly in diabetes participants with and without neuropathy. Levels of CNFLAuto and CNFLManual were both inversely associated with neuropathy status. CONCLUSIONS Although CNFLAuto substantially underestimated CNFLManual, its bias was non-differential between diverse patient groups and its relationship with neuropathy status was preserved. Determination of diagnostic thresholds specific to CNFLAuto should be pursued in diagnostic studies of diabetic neuropathy.


Muscle & Nerve | 2016

Construction and validation of the chronic acquired polyneuropathy patient‐reported index, “CAP‐PRI:” a disease‐specific, health‐related quality of life instrument

Kelly Gwathmey; Mark R. Conaway; Reza Sadjadi; Amruta Joshi; Carolina Barnett; Vera Bril; Eduardo Ng; William S. David; Karissa Gable; Jeffrey T. Guptill; Lisa D. Hobson-Webb; Jennifer Dineen; Michael Hehir; Thomas H. Brannagan; Esther Byun; Margaret Adler; Ted M. Burns

Introduction: Generic health‐related quality‐of‐life (HRQOL) patient‐reported outcome measures have been used in patients with chronic immune‐mediated polyneuropathies. We have created a disease‐specific HRQOL instrument. Methods: The chronic acquired polyneuropathy patient‐reported index (CAP‐PRI) was developed and validated in multiple steps. Items were initially generated through patient and specialist input. The performance of the preliminary 20 items was analyzed via a prospective, 5‐center study involving chronic immune‐mediated polyneuropathy patients. Results: Data analysis suggested modification to a 15‐item scale with 3 response categories rather than 5. The final CAP‐PRI was validated in another prospective, 5‐center study. The CAP‐PRI appeared to be a unidimensional outcome measure that fit the Rasch model in our multicenter cohort. It correlated appropriately with outcome measures commonly used in this patient population. Conclusions: The CAP‐PRI is a simple disease‐specific HRQOL measure that appears to be useful for clinical care and possibly also for clinical trials. Muscle Nerve 54: 9–17, 2016


Diabetes Care | 2004

Low-Intensity Laser Therapy for Painful Symptoms of Diabetic Sensorimotor Polyneuropathy: A controlled trial

Lorne Zinman; Mylan Ngo; Eduardo Ng; Khin T. Nwe; Sven Gogov; Vera Bril


Diabetes Care | 2006

Validation of a Novel Point-of-Care Nerve Conduction Device for the Detection of Diabetic Sensorimotor Polyneuropathy

Bruce A. Perkins; Jaspreet Grewal; Eduardo Ng; Mylan Ngo; Vera Bril


Diabetes Care | 2008

Multi-Site Testing With a Point-of-Care Nerve Conduction Device Can Be Used in an Algorithm to Diagnose Diabetic Sensorimotor Polyneuropathy

Bruce A. Perkins; Andrej Orszag; Jaspreet Grewal; Eduardo Ng; Mylan Ngo; Vera Bril


Transfusion and Apheresis Science | 2005

A pilot study to compare the use of the Excorim staphylococcal protein immunoadsorption system and IVIG in chronic inflammatory demyelinating polyneuropathy

L.H. Zinman; D. Sutton; Eduardo Ng; P. Nwe; Mylan Ngo; Vera Bril


Canadian Journal of Diabetes | 2015

Agreement Between Automated and Manual Quantification of Corneal Nerve Fiber Length: Implications for Diabetic Neuropathy Research

Daniel Scarr; Ilia Ostrovski; Leif E. Lovblom; Tong Wu; Elise M. Halpern; Mylan Ngo; Eduardo Ng; Andrej Orszag; Vera Bril; Bruce A. Perkins

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Vera Bril

University Health Network

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Mylan Ngo

University Health Network

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Tong Wu

University of Toronto

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Lorne Zinman

Sunnybrook Health Sciences Centre

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Zoe Lysy

University of Toronto

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