Israel Medical Association Journal

Background: The coronavirus disease 2019 (COVID-19) pandemic resulted in repeated surges of patients, sometimes challenging triage protocols and appropriate control of patient flow. Available models, such as the National Early Warning Score (NEWS), have shown significant limitations. Still, they are used by some centers to triage COVID-19 patients due to the lack of better tools.

Objectives: To establish a practical and automated triage tool based on readily available clinical data to rapidly determine a distinction between patients who are prone to respiratory failure.

Methods: The electronic medical records of COVID-19 patients admitted to the Sheba Medical Center March–April 2020 were analyzed. Population data extraction and exploration were conducted using a MDClone (Israel) big data platform. Patients were divided into three groups: non-intubated, intubated within 24 hours, and intubated after 24 hours. The NEWS and our model where applied to all three groups and a best fit prediction model for the prediction of respiratory failure was established.

Results: The cohort included 385 patients, 42 of whom were eventually intubated, 15 within 24 hours or less. The NEWS score was significantly lower for the non-intubated patients compared to the two other groups. Our improved model, which included NEWS elements combined with other clinical data elements, showed significantly better performance. The model's receiver operating characteristic curve had area under curve (AUC) of 0.92 with of sensitivity 0.81, specificity 0.89, and negative predictive value (NPV) 98.4% compared to AUC of 0.63 with NEWS. As patients deteriorate and require further support with supplemental O₂, the need for re-triage emerges. Our model was able to identify those patients on supplementary O₂ prone to respiratory failure with an AUC of 0.86 sensitivity 0.95, and specificity 0.7 NPV 98.9%, whereas NEWS had an AUC of 0.76. For both groups positive predictive value was approximately 35%.

Conclusions: Our model, based on readily available and simple clinical parameters, showed an excellent ability to predict negative outcome among patients with COVID-19 and therefore might be used as an initial screening tool for patient triage in emergency departments and other COVID-19 specific areas of the hospital.

Background: Patients with juvenile myoclonic epilepsy (JME) are especially prone to having antiseizure medications (ASMs) withdrawal seizures (WS).

Objectives: To clarify whether WS in JME patients are caused by a high tendency of non-adherence from seizure-free patients or by a constitutive increased sensitivity to drug withdrawal.

Methods: Epilepsy patients followed in a tertiary epilepsy clinic between 2010 and 2013 were included in the study. WS prevalence was compared between drug-responsive and drug-resistant JME patients and patients with other types of epilepsy.

Results: The study included 23 JME patients (16 drug-responsive and 7 drug-resistant) and 138 patients with other epilepsies (74 drug-responsive and 64 drug-resistant). JME patients were younger and included more women than non-JME patients. Significantly more WS were seen in JME than in non-JME patients (P = 0.01) and in the drug-resistant fraction of JME patients in comparison to drug-resistant non-JME patients (P = 0.02). On logistic regression, the type of epilepsy, but not the patient’s sex, was found to significantly predict WS. No significant difference was found in the prevalence of WS between drug-responsive and drug-resistant JME patients. The main ASM discontinued in JME was valproic acid (VPA), especially in women.

Conclusion: Our findings suggest a higher sensitivity of JME patients to withdrawal of medications. It is important to educate JME patients about treatment adherence and to explain to their physicians how to carefully reduce or replace ASMs to mitigate the morbidity and mortality related to ASM withdrawal

Background: Risk factors for severe coronavirus disease-2019 (COVID-19) infection include old age, chronic illness, and neurological conditions. In contrast, high vitamin D levels are known to augment immune activity and to reduce the severity of viral infections. Recently, a possible association between the likelihood of COVID-19 infection, COVID-19 severity, and vitamin D blood levels was reported.

Objective: To assess the possible association between vitamin D long-term supplementation and COVID-19 symptomatic severity and complications of COVID-19 infection in elderly psychiatric inpatients, a high at-risk group.

Methods: We conducted a retrospective case series study. Data of 14 elderly COVID-19 positive inpatients, presenting with dementia or schizophrenia and other medical conditions were extracted from medical records. All patients maintained a 800 IU daily dose of vitamin D prior to the infection.

Results: Most of the inpatients were asymptomatic or presented very few symptoms. No need for intensive care unit intervention or deaths were reported. Cognitive functioning of the patients remained unchanged.

Conclusions: Pre-existing vitamin D supplementation may reinforce immunity and reduce COVID-19 severity in elderly psychiatric inpatients.

The Oxford-AstraZeneca vaccine ChAdOx1 (AZD1222, Vaxzevria) is playing a crucial role in counteracting the coronavirus disease-2019 (COVID-19) pandemic [1]. Since March 2021, reports of unexpected thrombotic events associated with thrombocytopenia and vaccination have been published [2]. To the best of our knowledge there is only one report about vaccination-associated myasthenia gravis (MG) occurring after a second dose of BNT162b2 (Pfizer-BioNTech)

Background: Cystic periventricular leukomalacia (cPVL) is a strong indicator of subsequent motor and developmental impairments in premature infants. There is a paucity of publications on biomarkers of cPVL.

Objectives: To determine C-reactive protein (CRP) levels during the first week of life of preterm infants who later developed cPVL and to identify the association between CRP levels with perinatal factors.

Methods: We retrospectively included infants ≤ 32 weeks gestation and/or birth weights ≤ 1500 grams; 17 with a cranial ultrasound diagnosis of cPVL and 54 with normal ultrasounds. Serum CRP levels were measured during days 1-7 (CRP^1–7d) of life and subdivided into two timing groups: days 1–3 (CRP^1–3d) and days 4-7 (CRP^4–7d).

Results: The cPVL group had significantly higher mean CRP^4–7d levels compared to controls (12.75 ± 21.2 vs. 2.23 ± 3.1, respectively, P = 0.03), while CRP^1–3d levels were similar. CRP^1–7d levels were significantly correlated with maximal fraction of inspired oxygen during the first 12 hours of life (FiO₂-12h, r = 0.51, P < 0.001]. Additional risk factors were not associated with CRP levels.

Conclusions: Our finding of elevated CRP^4-7d levels and later development of cPVL supports earlier studies on the involvement of inflammation in the pathogenesis of cPVL. Whether CRP could serve as a biomarker of cPVL and its correlation with outcomes, awaits further trials. Furthermore, the correlation between FiO₂-12h and CRP^1–7d levels suggest that hypoxia and/or hyperoxia may serve as a trigger in the activation of inflammation during the first days of life of preterm infants

Background: Adherence to treatment by adolescents and adults with cystic fibrosis (CF) is often poor.

Objectives: To assess the impact of a focused clinical intervention on adherence in individual patients, including help in problem-solving key barriers to adherence. To implement a patient-centered problem-solving intervention using CF My Way tools. To identify and overcome a selected barrier to adherence.

Methods: Medication possession ratios (MPRs), number of airway clearance sessions, forced expiratory volume (FEV₁), body mass index (BMI), and health-related quality of life (HRQoL) were measured before and after the intervention.

Results: Sixteen patients with CF, aged 23.4 ± 6.7 years, participated. MPR increased for colistimethate sodium and tobramycin inhalations from a median of 21 (range 0–100) to 56 (range 0–100), P = 0.04 and 20 (range 0–100) to 33.3 (range 25–100), P = 0.03, respectively. BMI standard deviation score rose from -0.37 to -0.21, P = 0.05. No significant improvements were found in FEV₁, airway clearance, or HRQoL scores.

Conclusions: The CF My Way problem-solving intervention increased adherence to medical treatments by removing barriers directly related to the needs and goals of young adults with CF

Background: Surgery for hip fractures within 48 hours of admission is considered standard. During the lockdown period due to the coronavirus disease-2019 (COVID-19) epidemic, our medical staff was reduced.

Objectives: To compare the demographics, treatment pathways, and outcomes of patients with hip fractures during the COVID-19 epidemic and lockdown with the standard at routine times.

Methods: A retrospective study was conducted of all patients who were treated surgically for hip fracture in a tertiary center during the COVID-19 lockdown period between 01 March and 01 June 2020 and the equivalent period in 2019. Demographic characteristics, time to surgery, surgery type, hospitalization time, discharge destination, postoperative complications, and 30- and 90-day mortality rates were collected for all patients.

Results: During the COVID-19 period, 105 patients were operated due to hip fractures compared to 136 in the equivalent period with no statistical difference in demographics. The rate of surgeries within 48 hours of admission was significantly higher in the COVID-19 period (92% vs. 76%, respectively; P = 0.0006). Mean hospitalization time was significantly shorter (10 vs. 12 days, P = 0.037) with diversion of patient discharge destinations from institutional to home rehabilitation (P < 0.001). There was a significant correlation between the COVID-19 period and lower 90-day mortality rates (P = 0.034). No statistically significant differences in postoperative complications or 30-day mortality rates were noted.

Conclusions: During the COVID-19 epidemic, despite the limited staff and the lack of therapeutic sequence, there was no impairment in the quality of treatment and a decrease in 90-day mortality was noted.

Background: The coronavirus disease-2019 (COVID-19) pandemic forced drastic changes in all layers of life. Social distancing and lockdown drove the educational system to uncharted territories at an accelerated pace, leaving educators little time to adjust.

Objectives: To describe changes in teaching during the first phase of the COVID-19 pandemic.

Methods: We described the steps implemented at the Technion–Israel Institute of Technology Faculty of Medicine during the initial 4 months of the COVID-19 pandemic to preserve teaching and the academic ecosystem. 

Results: Several established methodologies, such as the flipped classroom and active learning, demonstrated effectiveness. In addition, we used creative methods to teach clinical medicine during the ban on bedside teaching and modified community engagement activities to meet COVID-19 induced community needs. 

Conclusions: The challenges and the lessons learned from teaching during the COVID-19 pandemic prompted us to adjust our teaching methods and curriculum using multiple online teaching methods and promoting self-learning. It also provided invaluable insights on our pedagogy and the teaching of medicine in the future with emphasis on students and faculty being part of the changes and adjustments in curriculum and teaching methods. However, personal interactions are essential to medical school education, as are laboratories, group simulations, and bedside teaching

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: Medical registries have been shown to be an effective way to improve patient care and reduce costs. Constructing such registries entails extraneous effort of either reviewing medical charts or creating tailored case report forms (CRF). While documentation has shifted from handwritten notes into electronic medical records (EMRs), the majority of information is logged as free text, which is difficult to extract.

Objectives: To construct a tool within the EMR to document patient-related data as codified variables to automatically create a prospective database for all patients undergoing colorectal surgery.

Methods: The hospital's EMR was re-designed to include codified variables within the operative report and patient notes that documented pre-operative history, operative details, postoperative complications, and pathology reports. The EMR was programmed to capture all existing data of interest with manual completion of un-coded variables.

Results: During a 6-month pilot study, 130 patients underwent colorectal surgery. Of these, 104 (80%) were logged into the registry on the same day of surgery. The median time to log the rest of the 26 cases was 1 day. Forty-two patients had a postoperative complication. The most common cause for severe complications was an anastomotic leak with a cumulative rate of 12.3%.

Conclusions: Re-designing the EMR to enable prospective documentation of surgical related data is a valid method to create an on-going, real-time database that is recorded instantaneously with minimal additional effort and minimal cost