Israel Medical Association Journal

Background: Psoriatic arthritis (PsA) is an inflammatory rheumatic disease characterized by different phenotypes in terms of joint involvement. The so-called oligoarticular pattern involves fewer than five active joints at a different time points. The evaluation of disease activity in this subset of patients is an unmet need due to the lack of specific indices able to capture modifications over time.

Objectives: To evaluate the ability of musculoskeletal ultrasound to monitor the response to apremilast treatment in oligoarticular PsA patients.

Methods: We evaluated 24 oligoarticular patients (19 women, 5 men; median age 56 years, interquartile range (IQR) 19; median disease duration 5 years, IQR 5.75). All patients were assessed at baseline (T0), and after 6 (T1), 12 (T2), and 24 (T3) weeks. Clinical assessment included evaluation of 66 swollen joints and patient global health assessment. All the patients underwent ultrasound assessment of the clinically involved joints. Synovial effusion/hypertrophy and power Doppler were scored with a semi-quantitative scale (0–3). The total inflammatory score was the sum of the scores.

Results: We found a reduction in the ultrasound inflammatory score at all time points, with a significant improvement at 6 and 12 weeks of treatment compared with baseline: T0 median 8.5 (IQR 5.0); T1 3.5 (3.0); T2 2.0 (3.5); P  = 0.01. We observed a significant reduction of patient global health assessment after 24 weeks (T0 median 50 (32.5); T3 40 (57.5); P = 0.01).

Conclusions: Musculoskeletal ultrasound could be useful in the assessment of treatment response in PsA patients with oligoarticular subset

Background: Cardiac rehabilitation (CR) is underutilized globally despite evidence of clinical benefit. Major obstacles for wider adoption include distance from the rehabilitation center, travel time, and interference with daily routine. Tele-cardiac rehabilitation (tele-CR) can potentially address some of these limitations, enabling patients to exercise in their home environment or community.

Objectives: To evaluate the clinical and physiological outcomes as well as adherence to tele-CR in patients with low cardiovascular risk and to assess exercise capacity, determined by an exercise stress test, using a treadmill before and following the 6-month intervention.

Methods: A total of 22 patients with established coronary artery disease participated in a 6-month tele-CR program. Datos Health (Ramat Gan, Israel), a digital health application and care-team dashboard, was used for remote monitoring, communication, and management of the patients.

Results: Following the 6-month tele-CR intervention, there was significant improvement in exercise capacity, assessed by estimated metabolic equivalents with an increase from 10.6 ± 0.5 to 12.3 ± 0.5 (P = 0.002). High-density lipoproteins levels significantly improved, whereas low-density lipoproteins, triglyceride, glycosylated hemoglobin, and systolic and diastolic blood pressure levels were not significantly changed. Exercise adherence was consistent among patients, with more than 63% of patients participating in a moderate intensity exercise program for 150 minutes per week.

Conclusions: Patients who participated in tele-CR adhered to the exercise program and attained clinically significant functional improvement. Tele-CR is a viable option for populations that cannot, or elect not to, participate in center-based CR programs.

Background: Benign rolandic epilepsy or benign childhood epilepsy with centrotemporal spikes (BCECTS) is a common childhood epileptic syndrome. The syndrome resolves in adolescence, but 1–7% of patients have an atypical presentation, some of which require aggressive medical treatment. Early treatment may prevent complications and neurocognitive deterioration. Variants include Landau-Kleffner syndrome (LKS) and electrical status epilepticus during sleep (ESES).

Objectives: To determine data driven identification of risk factors and characterization of new subtypes of BCECTS based on anontology. To use data mining analysis and correlation between the identified groups and known clinical variants.

Methods: We conducted a retrospective cohort study comprised of 104 patients with a diagnosis of BCECTS and a minimum of 2 years of follow-up, between the years 2005 and 2017. The medical records were obtained from the epilepsy service unit of the pediatric neurology department at Dana–Dwek Hospital, Tel Aviv Sourasky Medical Center. We developed a BCECTS ontology and performed data preprocessing and analysis using the R Project for Statistical Computing (https://www.r-project.org/) and machine learning tools to identify risk factors and characterize subgroups.

Results: The ontology created a uniform and understandable infrastructure for research. With the ontology, a more precise characterization of clinical symptoms and EEG activity of BCECTS was possible. Risk factors for the development of severe atypical presentations were identified: electroencephalography (EEG) with spike wave (P < 0.05), EEG without evidence of left lateralization (P < 0.05), and EEG localization (centrotemporal, frontal, or frontotemporal) (P < 0.01).

Conclusions: Future use of the ontology infrastructure for expanding characterization for multicenter studies as well as future studies of the disease are needed. Identifying subgroups and adapting them to known clinical variants will enable identification of risk factors, improve prediction of disease progression, and facilitate adaptation of more accurate therapy. Early identification and frequent follow-up may have a significant impact on the prognosis of the atypical variants.