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Introduction/Aims: Studies conducted during the coronavirus disease 2019 (COVID 19) pandemic have reported varied data regarding the incidence of Guillain--Barre syndrome (GBS). The present study investigated demographic and clinical features, management, and outcomes of patients with GBS during a specified period of the COVID 19 pandemic, and compared these features to those of GBS in the previous year. Methods: A multicenter, ambispective cohort study including 26 centers across India was conducted. Data from a pre COVID 19 period (March 1 to August 31, 2019) were collected retrospectively and collected ambispectively for a specified COVID 19 period (March 1 to August 31, 2020). The study was registered with the Clinical Trial Registry India (CTRI/2020/11/029143). Results: Data from 555 patients were included for analysis: pre COVID 19 (n = 334) and COVID 19 (n = 221). Males were more commonly affected during both periods (male:female, 2:1). Gastroenteritis was the most frequent antecedent event in 2019 (17.4%), whereas fever was the most common event in 2020 (10.7%). Paraparesis (21.3% versus [vs.] 9.3%, P = 0.001) and sensory involvement (51.1% vs. 41.3%; P = 0.023) were more common during COVID 19 in 2020, whereas back pain (26.3% vs. 18.4%; P = 0.032) and bowel symptoms (20.7% vs. 13.7%; P = 0.024) were more frequent in the pre COVID period. There was no difference in clinical outcomes between the two groups in terms of GBS disability score at discharge and 3 months after discharge. Independent predictors of disability in the pre COVID period included areflexia/hyporeflexia, the requirementfor intubation, and time to bulbar weakness; in the COVID 19 period, independent predictors included time from onset to admission, intubation, and intubation requirement. The mortality rate was 2.3% during the entire study period (13/555 cases). Discussion: Results of this study revealed an overall reduction in the frequency of GBS during the pandemic. The lockdown likely reduced the risk for antecedent infections due to social distancing and improved hygiene, which may have resulted in the reduction of the frequency of GBS. [ABSTRACT FROM AUTHOR]

Over the past two decades, our understanding of Parkinson's disease (PD) has been gleaned from the discoveries made in familial and/or sporadic forms of PD in the Caucasian population. The transferability and the clinical utility of genetic discoveries to other ethnically diverse populations are unknown. The Indian population has been under-represented in PD research. The Genetic Architecture of PD in India (GAP-India) project aims to develop one of the largest clinical/genomic bio-bank for PD in India. Specifically, GAP-India project aims to: (1) develop a pan-Indian deeply phenotyped clinical repository of Indian PD patients; (2) perform whole-genome sequencing in 500 PD samples to catalog Indian genetic variability and to develop an Indian PD map for the scientific community; (3) perform a genome-wide association study to identify novel loci for PD and (4) develop a user-friendly web-portal to disseminate results for the scientific community. Our "hub-spoke" model follows an integrative approach to develop a pan-Indian outreach to develop a comprehensive cohort for PD research in India. The alignment of standard operating procedures for recruiting patients and collecting biospecimens with international standards ensures harmonization of data/bio-specimen collection at the beginning and also ensures stringent quality control parameters for sample processing. Data sharing and protection policies follow the guidelines established by local and national authorities.We are currently in the recruitment phase targeting recruitment of 10,200 PD patients and 10,200 healthy volunteers by the end of 2020. GAP-India project after its completion will fill a critical gap that exists in PD research and will contribute a comprehensive genetic catalog of the Indian PD population to identify novel targets for PD. [ABSTRACT FROM AUTHOR]

Context: Parkinson's disease (PD) is associated with sleep disturbances, attributed to the neurodegenerative process and therapeutic drugs. Studies have found levodopa to increase wakefulness in some patients while increasing sleepiness in others. Aims: To confirm sleep disturbances in drug naïve PD patients and understand the impact of levodopa on their sleep. Materials and Methods: Twenty-three drug naïve PD patients and 31 age-gender matched controls were compared using the Parkinson's Disease Sleep Scale (PDSS) and Epworth Sleepiness Scale (ESS). A polysomnogram objectively compared sleep quality. Of the 23 patients, the 12 initiated on levodopa were reassessed subjectively and through polysomnography after 2 months of therapy. Statistical Analysis: Data was expressed as mean ± standard deviation, median, and range. Continuous variables were analyzed by Student's T test for normally distributed data and Mann-Whitney U test for skewed data. Discrete variables were compared by Chi Square tests (Pearson Chi square Test or Fisher's Exact Test). Wilcoxon signed ranks test was applied in the analysis of paired data pre- and post-levodopa. A P value < 0.05 was considered as statistically significant. Statistical analysis of the data was done using the Statistical Package for the Social Sciences (SPSS) version 12. Results: Drug naïve PD patients had lower PDSS scores than controls. The sleep architecture changes observed on polysomnogram were reduced NREM Stage III and REM sleep and increased sleep latency and wake after sleep onset time. Following levodopa, improved sleep efficiency with reduced sleep latency and wake after sleep onset time was noted, coupled with improved PDSS scores. However, NREM Stage III and REM sleep duration did not increase. Discussion: PD patients take longer to fall asleep and have difficulty in sleep maintenance. Sleep maintenance is affected by nocturia, REM behavioral disorder, nocturnal cramps, akinesia, and tremors, as observed in PDSS scores. Levodopa improves sleep efficiency by improving motor scores without altering sleep architecture. Conclusions: Poor sleep quality and sleep architecture changes occur secondary to the neurodegenerative process in PD patients. Though levodopa improves sleep quality by reducing rigidity and tremor, it does not reverse sleep architecture changes. [ABSTRACT FROM AUTHOR]