'Online therapy' to reduce caregiver's distress and to stimulate post-severe acquired brain injury motor and cognitive recovery: A Sicilian hospital experience in the COVID era.

INTRODUCTION: Severe acquired brain injury(SABI) often results in the deterioration of physical, cognitive and emotional functions in the patient and a significant caregiver's distress syndrome, which is now amplified by the social isolation, depression and financial difficulties related to the COVID-19 pandemic. The use of web-based online-therapy has been shown to be useful to overcome caregiver's distress syndrome and further stimulate cognitive-motor recovery of SABI-patients. Our study aimed to investigate whether a systematic online Skype-therapy(OLST) may be of support in favoring global cognitive and sensory-motor recovery in SABI-patients and reducing caregiver distress. METHODS: Twenty-five SABI-subjects in inpatient regimen were provided with intensive OLST with the caregiver for 12 weeks in addition to standard neurorehabilitation. Each subject and caregiver was evaluated before and after the treatment by administering an ad hoc battery. Furthermore, 18 of 27 patients were provided with EEG recording in resting state. RESULTS: We found a significant reduction in caregiver's anxiety (p<0.0001) and burden(p<0.0001). Patients showed significant improvement in trunk control (p<0.0001), functional independence (p = 0.005), functional (p = 0.01) and global communication (p = 0.004), cognitive functioning (p = 0.001), and behavioral responsiveness (p = 0.0004). The training yielded a significant connectivity change within the fronto-centro-parietal areas in the delta frequency band (p<0.0001) and the centro-parieto-occipital areas in the alpha range (p = 0.004). DISCUSSION: OLST may be a useful and complementary treatment to optimize global cognitive and functional recovery in SABI-subjects and reduce caregivers' concerns in the Covid-era. OLST can foster cognitive-motor recovery potentially by favoring the plasticity-dependent functional recovery. Therefore, OLST could be proposed as a tool allowing social conversations also in the hospital setting.

Estimating the delay between onset and diagnosis of type 2 diabetes from the time course of retinopathy prevalence.

OBJECTIVE: By correlating known diabetes duration with the prevalence of retinopathy, more than 10 years have been estimated to lapse between the onset and diagnosis of type 2 diabetes. Such calculations, however, assumed a linear model, included stages of retinopathy not specific to diabetes, and allowed 5 years for retinopathy to occur after the onset of diabetes. We calculated the duration of undiagnosed type 2 diabetes in outpatients screened for retinopathy in a hospital-based diabetes clinic after correcting these assumptions. RESEARCH DESIGN AND METHODS: Diabetic patients (n = 12,074; 35,545 fundus examinations) were stratified into younger onset (YO; age at onset <30 years) or older onset (OO; age at onset ≥30 years), insulin treated (IT) or not IT (NIT), and with mild/more severe diabetic retinopathy (AnyDR) or moderate/more severe diabetic retinopathy (ModDR). The best-fitting equation correlating known duration among the OO-NIT group with the prevalence of ModDR was used to extrapolate time from appearance of retinopathy to diagnosis of type 2 diabetes. Time for retinopathy to develop after diabetes was calculated from the equation correlating the duration among the YO-IT group with appearance of ModDR. RESULTS: There were 1,719 patients in the OO-NIT group with AnyDR and 685 with ModDR and 756 in the YO-IT group with AnyDR and 385 with ModDR. A linear model showed ModDR appeared 2.66 years before diagnosis among those in the OO-NIT group. A quadratic model suggested that ModDR appeared 3.29 years after diagnosis among those in the YO-IT group. The resulting estimate was 6.05 years (2.66 + 3.29) between the onset and diagnosis of diabetes, compared with 13.36 years using standard criteria. CONCLUSIONS: Using best-fitting models and stratifying by glucose-lowering treatment and severity of retinopathy substantially lowers the estimated duration of undiagnosed type 2 diabetes.