Temporal deep learning framework for retinopathy prediction in patients with type 1 diabetes.

The adoption of electronic health records in hospitals has ensured the availability of large datasets that can be used to predict medical complications. The trajectories of patients in real-world settings are highly variable, making longitudinal data modeling challenging. In recent years, significant progress has been made in the study of deep learning models applied to time series; however, the application of these models to irregular medical time series (IMTS) remains limited.

Leveraging human resources for outbreak analysis: lessons from an international collaboration to support the sub-Saharan African COVID-19 response.

Emerging infectious diseases are a growing threat in sub-Saharan African countries, but the human and technical capacity to quickly respond to outbreaks remains limited. Here, we describe the experience and lessons learned from a joint project with the WHO Regional Office for Africa (WHO AFRO) to support the sub-Saharan African COVID-19 response.In June 2020, WHO AFRO contracted a number of consultants to reinforce the COVID-19 response in member states by providing actionable epidemiological analysis.

Development of SARA , a New Video-Based Tool for the Assessment of Ataxia at Home.

Background: Clinical scales such as the Scale for the Assessment and Rating of Ataxia (SARA) cannot be used to study ataxia at home or to assess daily fluctuations. The objective of the current study was to develop a video-based instrument, SARA , for measuring ataxia severity easily and independently at home.

Methods: Based on feasibility of self-application, we selected 5 SARA items (gait, stance, speech, nose-finger test, fast alternating hand movements) for SARA (range, 0-28).

Natural history of most common spinocerebellar ataxia: a systematic review and meta-analysis.

Background: Spinocerebellar ataxias (SCAs) are rare dominantly inherited neurodegenerative disorders that lead to severe disability and premature death.

Objective: To better characterize the natural history of the most common SCAs, SCA1, SCA2, SCA3 and SCA6, we performed a meta-analysis of literature to determine disease progression, provide data for sample-sizes calculations for interventional trials and study the impact of geographical locations and study follow-up on disease progression.

Methods: A systematic literature search from MEDLINE and EMBASE databases for longitudinal natural history studies of SCA patients was conducted.

A New High-Throughput Tool to Screen Mosquito-Borne Viruses in Zika Virus Endemic/Epidemic Areas.

Mosquitoes are vectors of arboviruses affecting animal and human health. Arboviruses circulate primarily within an enzootic cycle and recurrent spillovers contribute to the emergence of human-adapted viruses able to initiate an urban cycle involving anthropophilic mosquitoes. The increasing volume of travel and trade offers multiple opportunities for arbovirus introduction in new regions.

Long-term evolution of patient-reported outcome measures in spinocerebellar ataxias.

Introduction: To study the long-term evolution of patient-reported outcome measures (PROMs) in the most common spinocerebellar ataxias (SCAs), we analyzed 8 years follow-up data of the EUROSCA Natural History Study, a cohort study of 526 patients with SCA1, SCA2, SCA3 and SCA6.

Methods: To assess the functional capacity in daily living, we used the functional assessment (part IV) of the Unified Huntington's Disease Rating Scale (UHDRS-IV), for health-related quality of life the visual analogue scale of the EuroQol Five Dimensions Questionnaire (EQ-5D VAS), and for depressive symptoms the Patient Health Questionnaire (PHQ-9). Severity of ataxia was assessed using the Scale for the Assessment and Rating of Ataxia (SARA) and neurological symptoms other than ataxia with the Inventory of Non-Ataxia Signs (INAS).

Survival in patients with spinocerebellar ataxia types 1, 2, 3, and 6 (EUROSCA): a longitudinal cohort study.

Background: Spinocerebellar ataxias are dominantly inherited progressive ataxia disorders that can lead to premature death. We aimed to study the overall survival of patients with the most common spinocerebellar ataxias (SCA1, SCA2, SCA3, and SCA6) and to identify the strongest contributing predictors that affect survival.

Methods: In this longitudinal cohort study (EUROSCA), we enrolled men and women, aged 18 years or older, from 17 ataxia referral centres in ten European countries; participants had positive genetic test results for SCA1, SCA2, SCA3, or SCA6 and progressive, otherwise unexplained, ataxias.

Body Mass Index Decline Is Related to Spinocerebellar Ataxia Disease Progression.

Background: Spinocerebellar ataxias (SCAs) are dominantly inherited, progressive ataxia disorders. Disease progression could be preceded by weight loss.

Objectives: We aimed to study the course of weight loss in patients who had the most common SCAs (SCA1, SCA2 SCA3, and SCA6).

Long-term disease progression in spinocerebellar ataxia types 1, 2, 3, and 6: a longitudinal cohort study.

Background: Spinocerebellar ataxias are dominantly inherited neurodegenerative diseases. As potential treatments for these diseases are being developed, precise knowledge of their natural history is needed. We aimed to study the long-term disease progression of the most common spinocerebellar ataxias: SCA1, SCA2, SCA3, and SCA6.