SARS-CoV-2 and Dysphagia: A Retrospective Analysis of COVID-19 Patients with Swallowing Disorders.

BACKGROUND: COVID-19 can lead to impairment of neural networks involved in swallowing, since the act of swallowing is coordinated and performed by a diffuse brain network involving peripheral nerves and muscles. Dysphagia has been identified as a risk and predictive factor for the severest form of SARS-CoV-2 infection. OBJECTIVES: To investigate the association between swallowing disorders and COVID-19 in patients hospitalized for COVID-19. METHODS: We collected demographic data, medical information specific to dysphagia and data on medical treatments of patients with COVID-19. RESULTS: A total of 43 hospitalized COVID-19 patients were enrolled in the study. Twenty (46%) were evaluated positive for dysphagia and 23 (54%) were evaluated negative. Neurocognitive disorders and diabetes were mostly associated with patients who resulted positive for dysphagia. Respiratory impairment caused by COVID-19 seems to be a cause of dysphagia, since all patients who needed oxygen-therapy developed symptoms of dysphagia, unlike patients who did not. In the dysphagic group, alteration of the swallowing trigger resulted in the severest form of dysphagia. An association was found between the severest form of COVID-19 and dysphagia. This group consisted predominantly of males with longer hospitalization. CONCLUSIONS: Identification of COVID-19 patients at risk for dysphagia is crucial for better patient management.

Compensating Hand Function in Chronic Stroke Patients Through the Robotic Sixth Finger.

A novel solution to compensate hand grasping abilities is proposed for chronic stroke patients. The goal is to provide the patients with a wearable robotic extra-finger that can be worn on the paretic forearm by means of an elastic band. The proposed prototype, the Robotic Sixth Finger, is a modular articulated device that can adapt its structure to the grasped object shape. The extra-finger and the paretic hand act like the two parts of a gripper cooperatively holding an object. We evaluated the feasibility of the approach with four chronic stroke patients performing a qualitative test, the Frenchay Arm Test. In this proof of concept study, the use of the Robotic Sixth Finger has increased the total score of the patients by two points in a five points scale. The subjects were able to perform the two grasping tasks included in the test that were not possible without the robotic extra-finger. Adding a robotic opposing finger is a very promising approach that can significantly improve the functional compensation of the chronic stroke patient during everyday life activities.

Meaningful improvement in walking performance after Botulinum neurotoxin A (BoNT-A) in chronic spastic patients.

BACKGROUND: Botulinum neurotoxin A (BoNT-A) may reduce lower limb spasticity but its role in improving walking ability remains to be established. OBJECTIVE: To investigate the efficacy of simultaneous BoNT-A injections into several targeted spastic muscles of different joints on gait speed and on functional gains in gait performance in chronic stroke and MS patients. METHODS: Twenty patients affected by stroke or multiple sclerosis were tested before, one and three months after BoNT-A administration. Gait was evaluated by the 10 Meter Walk Test; patients were stratified into functional ambulation classes accordingly. Spasticity was assessed using the modified Ashworth Scale. RESULTS: At final assessment, spasticity was reduced in hip adductors and ankle plantar-flexors, gait speed improved and, 1/3rd of patients transitioned to a higher ambulation class. The pre-post difference in Level of Spasticity of the hips was a predictor for an increase in gait speed. CONCLUSIONS: A meaningful improvement in walking performance can be obtained in chronic spastic patients after BoNT-A injection into several muscles, specifically the hip adductors.

Predictors of long-term recovery in complex activities of daily living before discharge from the stroke unit.

BACKGROUND AND PURPOSE: There is a need for individuating those post-stroke patients who may benefit from an optimal and customised rehabilitation plan aiming at early reintegration in community life participation. This study investigated whether the gain of independence in complex Activities of Daily Living (ADL) may be predicted before the discharge from the stroke unit using simple bedside determinants. METHODS: In 104 first-ever stroke patients with no previous disability, ten determinants at 10 days after stroke were selected. Multivariable logistic regression analysis was applied to identify the prognostic determinants able to predict independence in complex ADL, as measured by modified Rankin Scale grade ≤2. RESULTS: The model shows that having a Barthel Index ≥9, a Motricity Index- Upper Limb ≥75, an age ≤70 and being a male resulted in 100% probability of achieving independence in complex ADL. If three of the four determinants were present, the probability was more than 90%. With the presence of two of the four determinants, the probability ranged from 87% to 28%. With the presence of only one determinant, the probability was 13%. CONCLUSIONS: Accurate prediction of independence in complex ADL can be made before the discharge from the stroke unit. The strength of the paretic upper limb, age, gender, and the ability of performing basic ADL are the significant variables. The probability of favorable prognosis depends on the presence and on the robustness of each single determinant.