Integration of graph network with kernel SVM and logistic regression for identification of biomarkers in SCA12 and its diagnosis.

Spinocerebellar ataxia type 12 is a hereditary and neurodegenerative illness commonly found in India. However, there is no established noninvasive automatic diagnostic system for its diagnosis and identification of imaging biomarkers. This work proposes a novel four-phase machine learning-based diagnostic framework to find spinocerebellar ataxia type 12 disease-specific atrophic-brain regions and distinguish spinocerebellar ataxia type 12 from healthy using a real structural magnetic resonance imaging dataset. Firstly, each brain region is represented in terms of statistics of coefficients obtained using 3D-discrete wavelet transform. Secondly, a set of relevant regions are selected using a graph network-based method. Thirdly, a kernel support vector machine is used to capture nonlinear relationships among the voxels of a brain region. Finally, the linear relationship among the brain regions is captured to build a decision model to distinguish spinocerebellar ataxia type 12 from healthy by using the regularized logistic regression method. A classification accuracy of 95% and a harmonic mean of precision and recall, i.e. F1-score of 94.92%, is achieved. The proposed framework provides relevant regions responsible for the atrophy. The importance of each region is captured using Shapley Additive exPlanations values. We also performed a statistical analysis to find volumetric changes in spinocerebellar ataxia type 12 group compared to healthy. The promising result of the proposed framework shows that clinicians can use it for early and timely diagnosis of spinocerebellar ataxia type 12.

Correlation Between Optical Coherence Tomography Angiography Findings at 3 to 6 Weeks and Functional Outcome at 3 Months Following Acute Ischaemic Stroke Due to Extracranial Carotid Artery Atherosclerotic Disease.

We wanted to evaluate if optical coherence tomography angiography OCTA findings could predict the functional outcome in extracranial carotid artery atherosclerotic disease (ECAD) associated stroke. This exploratory study was performed on adults with acute ischaemic stroke due to ECAD at 3-6 weeks following stroke onset with risk factor matched controls without carotid artery stenosis. Twenty-three stroke patients (cases) and 23 controls were enrolled. There was significant difference between cases and controls in deep vessel density at the macula (p = .0007) and in radial peripapillary capillary perfusion density (RPCPD) at the optic nerve head (ONH) (p = .0007). Statistically significant difference was noted in the total superficial vessel density (SVD) at the macula (SVD within 1 standard deviation [SD] versus SVD beyond 1 SD of control data) in the ipsilateral eye and functional outcome at 3 months (poor versus very good outcome, modified Rankin scale [mRS] 0-1 versus mRS 2-6, respectively; p = .0361). There was statistically insignificant correlation between the RPCPD at the ONH and the National Institutes of Health Stroke Scale score at admission, mRS at discharge, and mRS at 3 months following stroke onset (r = .33, r = .35, r = .39; p = .11, p = .09, p = .06, respectively). The findings of this exploratory study suggested that OCTA findings may predict 3 month outcomes in cases of ECAD-related stroke and could be useful in decision making in future intervention studies as to whether intervene or not in patients having critical or non-critical ECAD for preventing stroke.

Mesenchymal Stem Cell Therapy in the Treatment of Neurodegenerative Cerebellar Ataxias: a Systematic Review and Meta-analysis.

The objective of this study is to synthesise the findings of clinical studies in order to derive evidence for use of the mesenchymal stem cell (MSC) therapy in the treatment of neurodegenerative cerebellar ataxias. In order to find relevant studies for the systematic review, we searched through Medline (1985 to July 2020), PubMed and Clinical trial register. We included both single-arm and comparative studies in which MSCs were given as intervention in neurodegenerative ataxia patients at any time after the diagnosis. We used Joanna Briggs Institute (JBI) quality scale to evaluate the methodological qualities of the included studies. Our literature search obtained 81 publications. Three articles comprising a total of 47 patients were included in the meta-analysis. None of them were randomised controlled trials (RCTs). Pooled analysis noted that there was a decrease in the Berg Balance Scale (BBS)/Scale for the Assessment and Rating of Ataxia (SARA) score from pre to post assessment; however, the difference was statistically not significant (standardised mean difference (SMD) - 0.20; 95% CI - 0.78 to 0.38). No significant side effects were reported in any of the studies. We did not observe any statistically significant difference in the pooled mean difference in the International Cooperative Ataxia Rating Scale (ICARS) score between pre and post assessment in patients with ataxia after receiving the stem cells (SMD 0.36, 95% CI - 0.08 to 0.81). Our systematic review and meta-analysis concluded that MSC cell therapy appeared safe but provided insufficient evidence to support the use of MSCs to treat patients with neurodegenerative cerebellar ataxia at present. No l RCTs was available in the literature to test efficacy; therefore, well-designed RCTs are needed to ascertain the effectiveness of MSCs in patients with neurodegenerative cerebellar ataxias.

Carotid Intima-Media Thickness (cIMT) and Cognitive Performance: A Population-Based Cross-Sectional Study From North India.

INTRODUCTION: Atherosclerosis has been shown to impact cognitive impairment, with most of the evidence originating from European, African, or East Asian populations that have employed carotid intima-media thickness (cIMT) as a biomarker for atherosclerosis. Vascular disease is related to dementia/cognitive decline. There is no community-based study from India that has looked at the association of cIMT with cognitive performance. METHODS: In this cross-sectional study between December 2014 and 2019, we recruited 7505 persons [(mean age 64.6 (9.2) y) and 50.9% women] from a community-dwelling population in New Delhi. These persons underwent carotid ultrasound to quantify cIMT and a cognitive test battery that tapped into memory, processing speed, and executive function. We also computed the general cognitive factor (g-factor), which was identified as the first unrotated component of the principal component analysis and explained 37.4% of all variances in the cognitive tests. We constructed multivariate linear regression models adjusted for age, sex, education, and cardiovascular risk factors. Additional adjustment was made for depression, anxiety, and psychosocial support in the final model. RESULTS: We found a significant association of higher cIMT with worse performance in general cognition (ß=-0. 01(95% CI: -0.01; -0.01); P<0.001), processing speed (ß=-0.20; 95% CI: -0.34; -0.07); P=0.003), memory (ß=-0.29; 95% CI: -0.53; -0.05); P=0.016), and executive function (ß=-0.54; 95% CI: -0.75; -0.33); P=<0.001). There was no statistically significant association of cIMT with Mini-Mental Status Examination score (ß=0.02; 95% CI: -0.34; 0.40; 0.89). CONCLUSION: The cross-sectional study found significant associations of increased cIMT with worse performance in global cognition, information processing, memory, and executive function.

Metabolic risk factors and psychosocial problems independently explain poor sleep quality and obstructive sleep apnea symptoms among adults in urban India.

STUDY OBJECTIVES: To determine if metabolic risk factors are associated with poor sleep quality and obstructive sleep apnea-like symptoms (OSA symptoms) independent of psychosocial problems and demographic and lifestyle factors in older Indian adults. METHODOLOGY: We analyzed baseline data from adults (≥ 50 years) from a population-based cohort, the LoCARPoN study, in India. Variables were grouped as (a) demographic and lifestyle factors such as smoking, alcohol use, and physical activity; (b) psychosocial problems including symptoms of depression, anxiety, and perceived stress; and (c) metabolic risk factors including glycated hemoglobin, high-density lipoprotein, low-density lipoprotein, total cholesterol, body mass index, and hypertension. Variables were examined as predictors of poor sleep quality and OSA symptoms. Groups of variables were added stepwise to a logistic regression. Variance explained by nested models was quantified using McFadden's pseudo R2, and change was formally tested with the log-likelihood ratio test. RESULTS: Among 7505 adults, the prevalence of poor sleep quality was 16.9% (95% CI: 16.0, 17.7), and OSA symptoms were present in 7.0% (95% CI: 6.4, 7.6). Psychosocial problems had a strong independent association with both poor sleep quality (pseudo R2 increased from 0.10 to 0.15, p < 0.001) and more OSA symptoms (pseudo R2 increased from 0.08 to 0.10, p < 0.001). Metabolic risk factors had a modest independent association with sleep quality (pseudo R2 increased from 0.14 to 0.15, p < 0.01), but a strong association with OSA symptoms (pseudo R2 increased from 0.08 to 0.10, p < 0.001). CONCLUSION: Psychosocial and metabolic risk factors were independently associated with sleep quality and OSA symptoms. This fact implied that OSA symptoms may affect both mental health and physical health. Our findings have public health implications because the number and proportion of the elderly in India is increasing, while the prevalence of metabolic risk factors and psychosocial problems is high already. These facts have the potential to exacerbate not only the burden of sleep disorders and OSA symptoms but also associated cardiovascular and neurologic sequelae, further stretching the Indian health-care system.

Prevalence and determinants of post-stroke sleep disorders: a cross-sectional hospital-based study.

INTRODUCTION: Post-stroke sleep disorders (PSSD) are an important part of post-stroke disability. PSSD is neglected as a part of stroke rehabilitation. We aimed to study the prevalence and determinants of PSSD in a hospital based, single center setting. METHODS: In a cross-sectional study, adult patients (≥ 18 years) with stroke (one month to one year after the onset), were enrolled in the study. Demographic, clinical, radiological, and motor and functional disabilities were assessed. Sleep quality was assessed with Pittsburg Sleep Quality Index (PSQI) and STOP BANG questionnaire (for obstructive sleep apnea [OSA]). Patients with poor sleep quality (PSQI > 5) were analyzed for risk factors. RESULTS: A total of 103 patients were recruited in the study period (January 2021 to June 2022). The self-reported prevalence of PSSD was 16% which increased to 72% when the PSQI was administered. High risk of OSA was present in 33%. In bivariate analysis, factors associated with PSQI > 5 were involvement of ≥ 2 lobes, lower body mass index (BMI), worse modified Rankin Scale (mRS), Hamilton Depression Rating Scale (HAM-D), Hamilton Anxiety Rating Scale (HAM-A) and Stroke Specific Quality of Life (SSQoL). In multivariate analysis, only depression was associated with PSQI > 5 (OR: 1.3 (1.0; 1.7); p-value = 0.03). CONCLUSION: PSSD had a prevalence of 72%. In multivariate analysis, the factor associated with PSQI > 5 was worse HAM-D score.

Association of obstructive sleep apnea and sleep quality with cognitive function: a study of middle-aged and elderly persons in India.

INTRODUCTION: Symptoms of obstructive sleep apnea (OSA) and poor sleep quality affect around one in ten people in India. We aimed to determine if OSA symptoms and poor sleep quality are independently associated with cognition in middle-aged and elderly urban Indian populations. METHODS: We studied the cross-sectional association between OSA symptoms (by Berlin Questionnaire), poor sleep quality (by Pittsburgh Sleep Quality Index), and cognitive function in adults ≥ 50 years. Using a standard neuropsychological battery for cognitive function, a G-factor was derived as the first rotated principal component assessing domains of information processing, memory, and executive function. The associations of exposures with cognitive measures were modeled using linear regression, adjusted for metabolic risk factors, lifestyle factors, and psychosocial problems, followed by stratified analysis by decadal age group. RESULTS: A total of 7505 adults were enrolled. Excluding those with MMSE < 26 (n 710), of 6795 individuals (49.2% women), mean (SD) age 64.2 (9.0) years, 38.3% had high risk of OSA symptoms, and 15.9% had poor sleep quality. OSA symptoms were negatively associated with cognitive domains of information processing (adjusted beta coefficient of z-score - 0.02, p-value 0.006), memory (- 0.03, 0.014), and G-factor (- 0.11, 0.014) in full-model. Stratified analysis by age group showed significant adverse effects of OSA symptoms on cognition for middle-aged people (50-60 years) (- 0.26, 0.001), but not in later age groups. Poor sleep quality was also associated with lower cognitive scores for G-factor (- 0.48, < 0.001), memory (- 0.08, 0.005), and executive domains (- 0.12, < 0.001), but not with information domain. CONCLUSION: The findings suggest that both symptoms of OSA and poor sleep quality have a direct adverse impact on cognition in an Indian setting. A modest effect of age on the relationship of OSA and cognition was also observed.

Is disease a threat to identity? A systematic review of parkinson's disease and personal identity.

Introduction: Parkinson's disease (PD) is a neurological condition that impacts the physical and psychological functioning of the patients. The physical and cognitive changes come with social stigma and threats to roles previously associated with their identities. Objectives: The current paper attempts to study the influence of the disease on the personal identity of the patients. Methods: A systematic review was done on PD and personal identity following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 guidelines. The Consolidated Criteria for Reporting Qualitative Research checklist was used to assess the quality of the papers. The selected papers were synthesized to understand the relationship between PD and personal identity. Results: The emerging themes were: (1) dissociation of old personal identity: (1.1) Influence of physical symptoms, (1.2) influence of society and stigma, and (1.3) threats to roles associated with identity and (2) changing family dynamics. A Model of Personal, Family, and Disease Dynamics was also developed based on clinical first-hand experience with the patients and the review. Conclusion: The personal identity of the PD patients shifts drastically as a result of their physical and psychosocial experiences. This also results in changed family dynamics, with the patient feeling sidelined due to loss of control and responsibilities in the family.

Classification and comparative analysis of psychogenic nonepileptic seizures (PNES) semiology based on video-electroencephalography (VEEG).

BACKGROUND: Multiple classification systems for psychogenic nonepileptic seizures (PNES) based on semiological features have been described. We sought to compare the efficiency of four PNES classification systems. METHODS: We retrospectively analyzed medical and video-electroencephalography (VEEG) records of patients with PNES with at least one typical event recorded on VEEG. Semiology of PNES events was stringently classified using Hubsch, Dhiman, Wadwekar, and Asadi-Pooya's classification systems. RESULTS: We studied 248 patients with PNES (78% females, mean age 23.1 ±â€¯10.3 years) and reviewed 498 PNES events. Using Hubsch's scheme, we classified events into: dystonic attacks with primitive gestural activity (5.2%), paucikinetic attacks with preserved responsiveness (9.7%), pseudosyncope (59.8%), hyperkinetic prolonged attacks (16.2%) and axial dystonic prolonged attacks (1.6%), and unclassified (7.5%). Using Dhiman's classification, events were: abnormal motor (hypermotor [10.4%]/ partial motor [12.7%]), dialeptic type (58.6%), mixed patterns (17.3%), and unclassified (1%). Using Wadwekar's classification: dystonic attacks with primitive gestural activity (5.2%), paucikinetic attacks with preserved responsiveness (9.6%), pseudosyncope with/without hyperventilation (65.1%), hyperkinetic prolonged attacks involving limbs ±â€¯trunk (18.5%), and axial dystonic prolonged attacks (1.6%). Using Asadi-Pooya's classification, events were: hypermotor (30.1%), non-motor (62.9%), and mixed (7.0%). All events could be classified via Wadwekar and Asadi-Pooya systems. CONCLUSION: In our study, pseudosyncope/dialeptic/non-motor semiology emerged as most frequent. Most of our patients with PNES had stereotyped semiology. All events could be classified using the schemes by Asadi-Pooya and Wadweker et al. Dhiman et al. scheme could classify 99% and 7.5% remained unclassified using Hubsch et al. scheme.

Frontal lobe metabolic alterations characterizing Parkinson's disease cognitive impairment.

BACKGROUND AND PURPOSE: Diagnosis of Parkinson's disease (PD) cognitive impairment at early stages is challenging compared to the stage of PD dementia where functional impairment is apparent and easily diagnosed. Hence, to evaluate potential early stage cognitive biomarkers, we assessed frontal lobe metabolic alterations using in vivo multi-voxel proton magnetic resonance spectroscopic imaging (1H-MRSI). METHOD: Frontal metabolism was studied in patients with PD with normal cognition (PD-CN) (n = 26), with cognitive impairment (PD-CI) (n = 27), and healthy controls (HC) (n = 30) using a single slice (two-dimensional) 1H-MRSI at 3 T. The acquired spectra were post-processed distinctly for voxels corresponding to the bilateral middle/superior frontal gray matter (GM) and frontal white matter (WM) regions (delineated employing neuromorphometrics atlas) using the LC-Model software. RESULT: Significant (post hoc p < 0.016) reduction in the concentration of N-acetyl aspartate (NAA) in the middle and superior frontal GMs and total choline (tCho) and total creatine (tCr) in the frontal WM was observed in PD-CI compared to PD-CN and HC, while that in HC and PD-CN groups were comparable. The NAA and tCr/tCho metabolite concentrations showed significant (p < 0.05) positive correlations with cognitive test scores in the frontal GM and WM, respectively. The receiver operating curve (ROC) analysis revealed significant (p < 0.05) "area under curve" for NAA/tNAA in the frontal GM and tCho in the frontal WM. CONCLUSION: The frontal metabolic profile is altered in cognitively impaired PD compared with cognitively normal PD. Neuronal function loss (NAA), altered energy metabolism (Cr), and cholinergic (Cho) neural transmission are implicated in PD cognitive pathology. Frontal neuro-metabolism may promisingly serve as PD cognitive biomarker.

Incremental Accuracy of Blood Biomarkers for Predicting Clinical Outcomes After Intracerebral Hemorrhage.

BACKGROUND: Intracerebral hemorrhage (ICH) is associated with high mortality, morbidity, and recurrence. Studies have reported the accuracy of several blood biomarkers in predicting clinical outcomes; however, their independent contribution in prediction remains to be established. AIM: To investigate the incremental accuracy in predicting clinical outcomes in patients with ICH in a north Indian population using blood-based biomarkers. METHODS: In this study, a total of 250 ICH cases were recruited within 72 hours of onset. Baseline clinical and CT scan measurement were recorded. Homocysteine (HCY), C-reactive protein (CRP), matrix metalloproteinase-9 (MMP9), E-selectin (SELE), and P-selectin (SELP) levels were measured through ELISA. Telephonic follow-up was done by using mRS scale at three months. RESULTS: The mean age of cohort was 54.9 (SD±12.8) years with 64.8% patients being male. A total of 109 (43.6%) deaths were observed over three months follow-up. Area under the receiver operating characteristics curve-(AUROC) for 90-day mortality were 0.55 (HCY), 0.62 (CRP), 0.57 (MMP9), 0.60 (SELE) and 0.53 (SELP) and for poor outcome at 90-day (mRS: 3-6) were 0.60 (HCY), 0.62 (CRP), 0.54 (MMP9), 0.67 (SELE) and 0.54 (SELP). In multivariable model including age, ICH volume, IVH and GCS at admission, serum SELE (p=0.004) significant for poor outcome with improved AUROC (0.86) and HCY (p=0.04), CRP (p=0.003) & MMP9 (p=0.02) for mortality with least Akaike's Information Criterion-(AIC) (1060.5). CONCLUSIONS: Our findings suggest that the serum SELE is a significant predictor of poor outcome and HCY, CRP & MMP9 for Mortality in patients with ICH in the north Indian population.

CIMT as a risk factor for stroke subtype: A systematic review.

INTRODUCTION: An increase in the common carotid artery intima-media thickness (CCA-IMT) is generally considered an early marker of atherosclerosis and is a well-established predictor of cardiovascular disease (CVD). An association between changes in CCA-IMT and risk of stroke has been reported but has conflicting findings. OBJECTIVE: The present meta-analysis was aimed to clarify the association between CCA-IMT with the risk of stroke and its subtype by estimating pooled analysis of published literature. METHODS: Comprehensive search for all published articles was performed in electronic databases including PubMed, Embase, Cochrane Library, Trip Databases, Worldwide Science, CINAHL and Google Scholar from 01 January 1950 to 30 April 2020. RESULTS: In our meta-analysis, a total of 19 studies, of which sixteen studies involving 3475 ischaemic stroke (IS) cases and 11 826 controls; six studies with 902 large vessel disease (LVD) and 548 small vessel disease (SVD) of IS subtypes; five studies with 228 intracerebral haemorrhage (ICH) and 1032 IS cases, were included. Our findings suggest a strong association between increased CCA-IMT with risk of IS as compared to control subjects [SMD = 1.46, 95% CI = 0.90-2.02]. However, there is an increased risk of LVD as compared to the SVD subtype of IS [SMD = 0.36, 95% CI = 0.19-0.52] and more chance of occurrence of IS rather than ICH [SMD = 0.71, 95% CI = 0.28-1.41]. CONCLUSIONS: Carotid intima thickness measurements are found to be associated with the risk of stroke along with its subtypes and may be used as a diagnostic marker for predicting the risk of stroke events.

Lithium acts to modulate abnormalities at behavioral, cellular, and molecular levels in sleep deprivation-induced mania-like behavior.

BACKGROUND: Ample amount of data suggests role of rapid eye movement (REM) sleep deprivation as the cause and effect of mania. Studies have also suggested disrupted circadian rhythms contributing to the pathophysiology of mood disorders, including bipolar disorder. However, studies pertaining to circadian genes and effect of lithium treatment on clock genes are scant. Thus, we wanted to determine the effects of REM sleep deprivation on expression of core clock genes and determine whether epigenetics is involved. Next, we wanted to explore ultrastructural abnormalities in the hippocampus. Moreover, we were interested to determine oxidative stress, tumor necrosis factor-α (TNF-α), and brain-derived neurotrophic factor levels in the central and peripheral systems. METHODS: Rats were sleep deprived by the flower pot method and were then analyzed for various behaviors and biochemical tests. Lithium was supplemented in diet. RESULTS: We found that REM sleep deprivation resulted in hyperactivity, reduction in anxiety-like behavior, and abnormal dyadic social interaction. Some of these behaviors were sensitive to lithium. REM sleep deprivation also altered circadian gene expression and caused significant imbalance between histone acetyl transferase/histone deacetylase (HAT/HDAC) activity. Ultrastructural analysis revealed various cellular abnormalities. Lipid peroxidation and increased TNF-α levels suggested oxidative stress and ongoing inflammation. Circadian clock genes were differentially modulated with lithium treatment and HAT/HDAC imbalance was partially prevented. Moreover, lithium treatment prevented myelin fragmentation, disrupted vasculature, necrosis, inflammation, and lipid peroxidation, and partially prevented mitochondrial damage and apoptosis. CONCLUSIONS: Taken together, these results suggest plethora of abnormalities in the brain following REM sleep deprivation, many of these changes in the brain may be target of lithium's mechanism of action.

Cystatin C and Risk of Mild Cognitive Impairment: A Systematic Review and Meta-Analysis.

INTRODUCTION: Cystatin C (Cys C) has been found as a novel biomarker of neurodegenerative diseases, such as dementia and Alzheimer's disease. Published studies on the role of Cys C as a biomarker of mild cognitive impairment (MCI) have not been reviewed systematically. OBJECTIVE: Present meta-analysis was performed to elucidate the association between Cys C and risk of MCI. METHODS: A comprehensive search was performed in PubMed, EMBASE, Cochrane Library, Trip databases, Worldwide Science, and Google Scholar from January 1, 1950, to April 30, 2020. Standardized mean difference (SMD) with 95% confidence interval (CI) using fixed or random effect models were used to calculate summary estimates. Quality of evidence was also assessed using the Diagnostic Accuracy Quality Scale (DAQS) and grading quality of evidence and strength of recommendations approach. RESULTS: In our meta-analysis, 12 studies with a total of 2,433 MCI patients and 1,034 controls were included. Our findings suggest a strong association between increased levels of Cys C and risk of MCI as compared to control subjects (SMD = 2.39, 95% CI = 0.22-4.57). Subgroup analysis based on ethnicity, a significant association for the high level of Cys C with the risk of MCI was observed in the Asian population (SMD = 1.63, 95% CI = 0.44-2.82) but not in the Caucasian population (SMD = 2.80, 95% CI = [-0.66]-6.26). CONCLUSION: Cys C was associated with MCI, and it could be considered as a predictor for the risk of cognitive impairment.

Assessment of cell-free levels of iron and copper in patients with Friedreich's ataxia.

Friedreich's ataxia (FRDA), a progressive neurodegenerative disorder caused by trinucleotide (GAA) repeat expansion in frataxin (fxn) gene which results in decreased levels of frataxin protein. Insufficient frataxin levels leads to iron and copper deposits in the brain and cardiac cells. A total of hundred and twenty patients, suspected of FRDA were screened for the (GAA) repeats in the fxn gene and only confirmed patients (n = 25) were recruited in the study. The total Iron and total copper concentrations were measured in blood plasma using Nitro PAPS and Dibrom PAESA method, respectively both in patients and age, sex matched healthy controls. The iron levels mean ± SD (6.2 ± 3.8) in plasma of FRDA patients were found to be significantly decreased as compared to healthy controls mean ± SD (15.2 ± 4.2). A similar trend was observed in case of plasma copper levels in FRDA patient (8.15 ± 4.6) as compared to controls (17.5 ± 3.40). Present results clearly prove abnormal distribution of extra-cellular iron in FRDA patients, which is in accordance with the well established fact of intracellular iron overload, which is the key feature of the pathogenesis of this disease. This can be of importance in understanding the pathophysiology of the disease in association with frataxin/iron. It appears that intracellular sequestration of trace metals in FRDA patients (due to low frataxin) results in their sub-optimal levels in blood plasma (extra-cellular) an observation that can find prognostic application in clinical trials.

Clinical spectrum and quality of life in patients with chronic polyneuropathy: A cross-sectional study.

Chronic polyneuropathy is a disabling condition of the peripheral nerves, characterized by symmetrical sensory motor symptoms and signs. There is paucity of studies on the etiological spectrum of polyneuropathy and its impact on quality of life (QoL). The present cross-sectional study in a referral based tertiary care center in North India found diabetic neuropathy as the commonest cause (25.5%) amongst 212 patients with chronic polyneuropathy. Idiopathic axonal polyneuropathy was present in 14.2% patients. Leprosy presenting as confluent mononeuritis multiplex constituted 11.3% of the patients. Additionally, it revealed a significantly worse QoL in these patients in all domains measured by short form (SF-36). This is the first study conducted in India to determine the QoL in chronic neuropathy patients. The current study demonstrates the clinical feasibility and applicability of the SF-36 generic health status in patients with polyneuropathies.

Guillain-Barre syndrome complicating chikungunya virus infection.

Chikungunya virus (CHIKV) is a mosquito-borne alphavirus which presents with symptoms of fever, rash, arthralgia, and occasional neurologic disease. While outbreaks have been earlier reported from India and other parts of the world, the recent outbreak in India witnessed more than 1000 cases. Various systemic and rarely neurological complications have been reported with CHIKV. We report two cases of Guillain-Barré syndrome (GBS) with CHIKV. GBS is a rare neurological complication which may occur after subsidence of fever and constitutional symptoms by several neurotropic viruses. We describe two cases of severe GBS which presented with rapidly progressive flaccid quadriparesis progressing to difficulty in swallowing and breathing. Both required mechanical ventilation and improved partly with plasmapharesis. The cases emphasize on (1) description of the rare complication in a setting of outbreak with CHIKV, (2) acute axonal as well as demyelinating neuropathy may occur with CHIKV, (3) accurate identification of this entity during outbreaks with dengue, both of which are vector borne and may present with similar complications.