Impact of COVID-19 on Guillain-Barre Syndrome in India: A Multicenter Ambispective Cohort Study.

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.

The mucormycosis and stroke: The learning curve during the second COVID-19 pandemic.

BACKGROUND: The Angio-invasive Rhino-orbito-cerebral mucormycosis (ROCM) producing strokes is a less explored entity. Our hospital, a stroke-ready one, had an opportunity to manage mucormycosis when it was identified as the nodal center for mucormycosis management. We are sharing our experiences and mistakes in managing the cerebrovascular manifestations of ROCM. METHODS: We conducted a prospective observational study during the second wave of the COVID-19 pandemic from 1st May 2021 to 30th September 2021, where consecutive patients aged more than 18 years with microbiologically confirmed cases of ROCM were included. Clinical details (timing of stroke onset after ROCM symptoms, GCS, NIHSS), imaging findings (ASPECTS, the territory of stroke, the pattern of infarct, hemorrhagic transformation, cavernous sinus thrombosis), angiogram findings, management details (IV thrombolysis), and outcomes (mRS at discharge and duration of hospital stay) were documented. We also compared the demographics, clinical features (NIHSS), radiological findings, treatment details, duration of hospital stay, and functional outcome at the discharge of the ROCM stroke patients with stroke patients without ROCM. RESULTS: Stroke developed in 42% of patients with ROCM, predominantly anterior circulation border zone ischemic infarcts. Strokes occurred after a median of five days from the onset of ROCM symptoms. The most common vessel involved was the ophthalmic artery, followed by the cavernous ICA. We could not thrombolyse ROCM stroke patients. ROCM patients who developed stroke compared with patients without stroke had a more infiltrative fungal infection and higher inflammatory markers. Mucormycosis associated stroke patients had higher in-hospital mortality and poor functional outcomes. T CONCLUSION: Due to delayed recognition of stroke symptoms, none received reperfusion strategies, leading to poor functional outcomes. For early stroke detection, ROCM cases need frequent monitoring and education of patients and their relatives about the ALS acronym (loss of ambulation, limb weakness, and loss of speech).

COVID-19 and Stroke Trends in A Tertiary Care Center from South India -Our Monsoon Experience.

Introduction: The unprecedented challenges during the COVID pandemic and the subsequent lockdown had resulted in a delay in treatment metrics for acute stroke. There is a rising concern that COVID-19 co-infection can adversely affect stroke outcome. We aim to investigate the impact of COVID-19 in the management of stroke patients. We also compared the differences in stroke manifestations, etiological pattern, treatment course, and outcome of acute stroke patients in COVID-19 confirmed cases. Methodology: A single-center retrospective study was done at the Stroke Unit, Government Medical College, Thiruvananthapuram. Consecutive patients of acute stroke confirmed by imaging, presenting within 24 hours of the onset of symptoms in May to July 2020 and May to July 2019, were included. The primary data variables included baseline demographics, risk factors, admission NIHSS, stroke timings, thrombolysis rate, TOAST etiology, mRS at discharge, and in-hospital mortality. Results: Strokes with higher NIHSS, arrival blood sugar and blood pressure, and delays in door-to-CT and door-to-needle time were more during the pandemic. Intravenous thrombolysis was less and mortality was higher in COVID-19 strokes during the pandemic. COVID-19-positive stroke patients had more hemorrhagic strokes, more severe strokes with low CT ASPECTS, more hemorrhagic transformation, high in-hospital mortality, and poor functional outcome at discharge and 3 months. Conclusion: Our study was a hypothesis-generating study with a limited number of patients. This study has reconfirmed the higher severity of the stroke, with a higher mRS score and mortality during the pandemic, especially among COVID-19-positive stroke patients.

A non-invasive ultrasensitive diagnostic approach for COVID-19 infection using salivary label-free SERS fingerprinting and artificial intelligence.

Clinical diagnostics for SARS-CoV-2 infection usually comprises the sampling of throat or nasopharyngeal swabs that are invasive and create patient discomfort. Hence, saliva is attempted as a sample of choice for the management of COVID-19 outbreaks that cripples the global healthcare system. Although limited by the risk of eliciting false-negative and positive results, tedious test procedures, requirement of specialized laboratories, and expensive reagents, nucleic acid-based tests remain the gold standard for COVID-19 diagnostics. However, genetic diversity of the virus due to rapid mutations limits the efficiency of nucleic acid-based tests. Herein, we have demonstrated the simplest screening modality based on label-free surface enhanced Raman scattering (LF-SERS) for scrutinizing the SARS-CoV-2-mediated molecular-level changes of the saliva samples among healthy, COVID-19 infected and COVID-19 recovered subjects. Moreover, our LF-SERS technique enabled to differentiate the three classes of corona virus spike protein derived from SARS-CoV-2, SARS-CoV and MERS-CoV. Raman spectral data was further decoded, segregated and effectively managed with the aid of machine learning algorithms. The classification models built upon biochemical signature-based discrimination method of the COVID-19 condition from the patient saliva ensured high accuracy, specificity, and sensitivity. The trained support vector machine (SVM) classifier achieved a prediction accuracy of 95% and F1-score of 94.73%, and 95.28% for healthy and COVID-19 infected patients respectively. The current approach not only differentiate SARS-CoV-2 infection with healthy controls but also predicted a distinct fingerprint for different stages of patient recovery. Employing portable hand-held Raman spectrophotometer as the instrument and saliva as the sample of choice will guarantee a rapid and non-invasive diagnostic strategy to warrant or assure patient comfort and large-scale population screening for SARS-CoV-2 infection and monitoring the recovery process.

Time Metrics in Acute Ischemic Stroke Care During the Second and First Wave of COVID 19 Pandemic: A Tertiary Care Center Experience from South India.

BACKGROUND: During the first wave of the pandemic, stroke care suffered globally and there were reduced stroke admissions and delays in time metrics. Stroke care was reorganized during the second wave learning from the experience of previous wave. This study shares our experience in stroke time metrics during the second wave of pandemic compared to the first wave. METHODS: We did a single-center prospective study, where consecutive acute ischemic stroke patients within 24 hours of the onset of symptoms and aged more than 18 years, who presented to Stroke Unit, Department of Neurology, Government Medical College, Thiruvananthapuram from June 1st to 31st August, 2020 and June 1st to 31st August in 2021 were included. In-hospital time metrics (door to CT time and door to Needle time) were compared during the two time periods. We also compared functional outcomes at discharge and in-hospital mortality during the two periods. Functional outcome at discharge was assessed by modified Rankin scale (mRS). RESULTS: From June to August 2021 (second wave of the COVID 19 pandemic), compared to the same months during the first wave (2020), our study demonstrated better in-hospital time metrics (door to CT time and door to needle time). We also found lower admission systolic blood pressure and higher baseline CT early ischemic changes during the second wave. There was no difference in functional outcome at discharge and in-hospital mortality. Intravenous thrombolysis rates also remained the same during the two periods. CONCLUSION: Our study has confirmed that time metrics in stroke care can be improved through system rearrangement even during the pandemic. Acute stroke treatments are time-dependent and hospital administrators must stick to the maxim "Time is Brain" while restructuring stroke workflows during future challenges.

Time metrics in acute ischemic stroke care during the second and first wave of COVID 19 Pandemic: A tertiary care center experience from South India

Background : During the first wave of the pandemic, stroke care suffered globally and there were reduced stroke admissions and delays in time metrics. Stroke care was reorganized during the second wave learning from the experience of previous wave. This study shares our experience in stroke time metrics during the second wave of pandemic compared to the first wave. Methods : We did a single-center prospective study, where consecutive acute ischemic stroke patients within 24 hours of the onset of symptoms and aged more than 18 years, who presented to Stroke Unit, Department of Neurology, Government Medical College, Thiruvananthapuram from June 1st to 31st August, 2020 and June 1st to 31st August in 2021 were included. In-hospital time metrics (door to CT time and door to Needle time) were compared during the two time periods. We also compared functional outcomes at discharge and in-hospital mortality during the two periods. Functional outcome at discharge was assessed by modified Rankin scale (mRS). Results : From June to August 2021 (second wave of the COVID 19 pandemic), compared to the same months during the first wave (2020), our study demonstrated better in-hospital time metrics (door to CT time and door to needle time). We also found lower admission systolic blood pressure and higher baseline CT early ischemic changes during the second wave. There was no difference in functional outcome at discharge and in-hospital mortality. Intravenous thrombolysis rates also remained the same during the two periods. Conclusion : Our study has confirmed that time metrics in stroke care can be improved through system rearrangement even during the pandemic. Acute stroke treatments are time-dependent and hospital administrators must stick to the maxim “Time is Brain” while restructuring stroke workflows during future challenges.

Clinical Features and Outcome of Stroke with COVID-19. COVID-19 Stroke Study Group (CSSG), India.

BACKGROUND AND PURPOSE: Occurrence of stroke has been reported among patients with COVID-19. The present study compares clinical features and outcomes of stroke patients with and without COVID-19. METHODS: The COVID-19 Stroke Study Group (CSSG) is a multicentric study in 18 sites across India to observe and compare the clinical characteristics of patients with stroke admitted during the current pandemic period and a similar epoch in 2019. The present study reports patients of stroke with and without COVID-19 (CoVS and non-CoVS, respectively) seen between February 2020 and July 2020. Demographic, clinical, treatment, and outcome details of patients were collected. RESULTS: The mean age and gender were comparable between the two groups. CoVS patients had higher stroke severity and extent of cerebral involvement on imaging. In-hospital complications and death were higher among CoVS patients (53.06% vs. 17.51%; P < 0.001) and (42.31% vs. 7.6%; P < 0.001), respectively. At 3 months, higher mortality was observed among CoVS patients (67.65% vs. 13.43%; P < 0.001) and good outcome (modified Rankin score [mRS]: 0-2) was seen more often in non-CoVS patients (68.86% vs. 33.33%; P < 0.001). The presence of COVID-19 and baseline stroke severity were independent predictors of mortality. CONCLUSIONS: CoVS is associated with higher severity, poor outcome, and increased mortality. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and baseline stroke severity are independent predictors of mortality.

Clinical profile and outcome of non-COVID strokes during pandemic and the pre pandemic period: COVID-Stroke Study Group (CSSG) India.

BACKGROUND: As the health systems around the world struggled to meet the challenges of COVID-19 pandemic, care of many non-COVID emergencies was affected. AIMS: The present study examined differences in the diagnosis, evaluation and management of stroke patients during a defined period in the ongoing pandemic in 2020 when compared to a similar epoch in year 2019. METHODS: The COVID stroke study group (CSSG) India, included 18 stroke centres spread across the country. Data was collected prospectively between February and July 2020 and retrospectively for the same period in 2019. Details of demographics, stroke evaluation, treatment, in-hospital and three months outcomes were collected and compared between these two time points. RESULTS: A total of 2549 patients were seen in both study periods; 1237 patients (48.53%) in 2019 and 1312 (51.47%) in 2020. Although the overall number of stroke patients and rates of thrombolysis were comparable, a significant decline was observed in the month of April 2020, during the initial period of the pandemic and lockdown. Endovascular treatment reduced significantly and longer door to needle and CT to needle times were observed in 2020. Although mortality was higher in 2020, proportion of patients with good outcome were similar in both the study periods. CONCLUSIONS: Although stroke admissions and rates of thrombolysis were comparable, some work flow metrics were delayed, endovascular stroke treatment rates declined and mortality was higher during the pandemic study period. Reorganization of stroke treatment pathways during the pandemic has likely improved the stroke care delivery across the globe.