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Vaccine hesitancy remains a barrier to full population inoculation against highly infectious diseases. Coincident with the rapid developments of COVID-19 vaccines globally, concerns about the safety of such a vaccine could contribute to vaccine hesitancy. We analyzed 1941 anonymous questionnaires completed by healthcare workers and members of the general Israeli population, regarding acceptance of a potential COVID-19 vaccine. Our results indicate that healthcare staff involved in the care of COVID-19 positive patients, and individuals considering themselves at risk of disease, were more likely to self-report acquiescence to COVID-19 vaccination if and when available. In contrast, parents, nurses, and medical workers not caring for SARS-CoV-2 positive patients expressed higher levels of vaccine hesitancy. Interventional educational campaigns targeted towards populations at risk of vaccine hesitancy are therefore urgently needed to combat misinformation and avoid low inoculation rates.

Objectives In the midst of the coronavirus disease 2019 (COVID-19) outbreak, chest X-ray (CXR) imaging is playing an important role in diagnosis and monitoring of patients with COVID-19. We propose a deep learning model for detection of COVID-19 from CXRs, as well as a tool for retrieving similar patients according to the model’s results on their CXRs. For training and evaluating our model, we collected CXRs from inpatients hospitalized in four different hospitals. Methods In this retrospective study, 1384 frontal CXRs, of COVID-19 confirmed patients imaged between March and August 2020, and 1024 matching CXRs of non-COVID patients imaged before the pandemic, were collected and used to build a deep learning classifier for detecting patients positive for COVID-19. The classifier consists of an ensemble of pre-trained deep neural networks (DNNS), specifically, ReNet34, ReNet50¸ ReNet152, and vgg16, and is enhanced by data augmentation and lung segmentation. We further implemented a nearest-neighbors algorithm that uses DNN-based image embeddings to retrieve the images most similar to a given image. Results Our model achieved accuracy of 90.3%, (95% CI: 86.3–93.7%) specificity of 90% (95% CI: 84.3–94%), and sensitivity of 90.5% (95% CI: 85–94%) on a test dataset comprising 15% (350/2326) of the original images. The AUC of the ROC curve is 0.96 (95% CI: 0.93–0.97). Conclusion We provide deep learning models, trained and evaluated on CXRs that can assist medical efforts and reduce medical staff workload in handling COVID-19. Key Points • A machine learning model was able to detect chest X-ray (CXR) images of patients tested positive for COVID-19 with accuracy and detection rate above 90%. • A tool was created for finding existing CXR images with imaging characteristics most similar to a given CXR, according to the model’s image embeddings.

Studies have demonstrated a potential correlation between low vitamin D status and both an increased risk of infection with SARS-CoV-2 and poorer clinical outcomes. This retrospective study examines if, and to what degree, a relationship exists between pre-infection serum 25-hydroxyvitamin D (25(OH)D) level and disease severity and mortality due to SARS-CoV-2. The records of individuals admitted between April 7th, 2020 and February 4th, 2021 to the Galilee Medical Center (GMC) in Nahariya, Israel, with positive polymerase chain reaction (PCR) tests for SARS-CoV-2 (COVID-19) were searched for historical 25(OH)D levels measured 14 to 730 days prior to the positive PCR test. Patients admitted to GMC with COVID-19 were categorized according to disease severity and level of 25(OH)D. An association between pre-infection 25(OH)D levels, divided between four categories (deficient, insufficient, adequate, and high-normal), and COVID-19 severity was ascertained utilizing a multivariable regression analysis. To isolate the possible influence of the sinusoidal pattern of seasonal 25(OH)D changes throughout the year, a cosinor model was used. Of 1176 patients admitted, 253 had records of a 25(OH)D level prior to COVID-19 infection. A lower vitamin D status was more common in patients with the severe or critical disease (<20 ng/mL [87.4%]) than in individuals with mild or moderate disease (<20 ng/mL [34.3%] p < 0.001). Patients with vitamin D deficiency (<20 ng/mL) were 14 times more likely to have severe or critical disease than patients with 25(OH)D ≥40 ng/mL (odds ratio [OR], 14; 95% confidence interval [CI], 4 to 51; p < 0.001). Among hospitalized COVID-19 patients, pre-infection deficiency of vitamin D was associated with increased disease severity and mortality.

Our study compares the number of postoperative complications of Syrian patients admitted to the Galilee Medical Center (GMC) over a 5-year period (May 2013–May 2018) for treatment after initial high-velocity maxillofacial injuries sustained during the Syrian civil war. Specifically, we evaluated complication rates of patients arriving “early,” within 24 h, to the GMC versus those who arrived “late,” or 14–28 days following high-velocity maxillofacial injuries. Both groups of patients received definitive surgical treatment within 48 h of admission to our hospital with a total of 60 patients included in this study. The mean age was 26 ± 8 years (range: 9–50) and all except one were male. Postoperative complications in the early group were found to be significantly higher compared to the delayed arrival group (p = 0.006). We found that unintentionally delayed treatment may have contributed to a critical revascularization period resulting in improved healing and decreased postoperative morbidity and complications. We discuss potential mechanisms for complication rate variations, including critical vascularization periods. Our study may add to a growing body of work demonstrating the potential benefit of delayed surgical treatment for high-velocity maxillofacial injuries.

PurposeLeft untreated, obstructive sleep-disordered breathing (OSDB) are associated with adverse effects on growth and development. History and physical examination alone are used for diagnosing children with OSDB, as polysomnography is not always feasible. Our objective was to develop and validate a Hebrew version of the Pediatric Sleep Questionnaire (PSQ) to help to diagnose and follow-up children before and after adenotonsillectomy surgery for OSDB.MethodsWe conducted a prospective, nonrandomized, controlled trial in an academic medical center. We enrolled parents of children younger than 5 years of age planned for tonsillectomy with or without adenoidectomy due to obstructive airway indication. The parents completed the validated Hebrew version of PSQ questionnaire before and after surgery. We translated the questionnaire through forward–backward translation method. Our main outcome measures were reliability, validity, and responsiveness of the Hebrew version of PSQ.ResultsOverall, 45 parents of children with OSDB and 34 controls filled out the questionnaires. We found significant differences between the PSQ scores before and after surgery (p < 0.001). The Hebrew version of PSQ results after surgery were similar to those of the control group (p = 0.206), as expected. We found high reliability of the Hebrew version of PSQ before surgery (α = 0.931). The translated PSQ had a high specificity (87.9%) and sensitivity (77.3%) to identify children with OSDB.ConclusionThe Hebrew version of the validated PSQ for parents to children with OSDB can be used as a reliable screening and diagnostic tool to identify children suffering from OSDB, when polysomnography is not feasible.

The COVID-19 pandemic raises the need for diverse diagnostic approaches to rapidly detect different stages of viral infection. The flexible and quantitative nature of single-molecule imaging technology renders it optimal for development of new diagnostic tools. Here we present a proof-of-concept for a single-molecule based, enzyme-free assay for detection of SARS-CoV-2. The unified platform we developed allows direct detection of the viral genetic material from patients’ samples, as well as their immune response consisting of IgG and IgM antibodies. Thus, it establishes a platform for diagnostics of COVID-19, which could also be adjusted to diagnose additional pathogens.

The COVID-19 pandemic spread rapidly across the globe, leading governments to impose prolonged lockdowns on both movement and commerce. Although lockdowns decrease the rates of novel infections, they can have devastating consequences on the economy and employment levels. One of the most severely affected sectors during this crisis has been dental medicine. Dental professionals are uniquely exposed to environments with high levels of occupational hazards, conferring additional risks of viral exposure and transmission. We analyzed 506 anonymous questionnaires completed by dentists and residents regarding acceptance of a future potential SARS-CoV-2 vaccine. Our results demonstrate a statistically significant correlation between the individual's unemployment rate and their willingness to inoculate with a SARS-CoV-2 vaccine when it becomes available. This information can be used to predict trends of vaccine acceptance or rejection based on economic burden during the COVID-19 pandemic by different sectors as part of the preparedness toward global vaccination programs.

Background The diagnosis of depression or anxiety treated by SSRIs has become relatively common in women of childbearing age. However, the impact of gestational SSRI treatment on newborn thyroid function is lacking. We explored the impact of gestational SSRI treatment on newborn thyroid function as measured by the National Newborn Screening (NBS) Program and identified contributory factors. Methods An observational large-scale study of mother-infant dyads of liveborn infants delivered between 2011 and 2022. The Israeli NBS Program thyroid dataset [total thyroxine (TT4) obtained between 36‐72 h after delivery] was linked with the electronic medical records of mothers and their infants born at Lis Maternity and Women's Hospital, to generate a unified database. The MDClone big data platform was utilized to extract maternal, perinatal, and neonatal characteristics from the medical records of mother-infant dyads. Only term liveborn infants born to mothers without documented thyroid disease and/or chronic medication administration, except for SSRIs, were included in order to minimize potential confounding effects on the infant's thyroid function. Group stratification relied on the documentation of gestational SSRIs treatment. The variables of interest were maternal, pregnancy, delivery, and perinatal characteristics of the mother–infant dyads. Multivariable forward linear regression model was applied to evaluate explanatory variables for newborn total thyroxine (TT4) levels. Results Out of 105,928 infant-mother dyads, 2321(2.2%) mothers had been treated with SSRIs during pregnancy. The SSRI-treated mothers were older (34.8 ± 4.7 vs 32.6 ± 4.8 years, p  < 0.001) and had a higher pre-pregnancy body mass index (23.4 ± 4.5 vs 22.7 ± 4.1, p  < 0.001), but similar mean weight gain (13 kg) during pregnancy. Cesarean delivery was more common among SSRI-treated mothers than in the general population ( p  < 0.001). Infants of SSRI-treated mothers had lower WHO-classified birthweight z-scores (-0.25 ± 0.93 vs -0.04 ± 0.92, p  < 0.001) and a higher rate of small-for-gestational-age infants (13.4% vs 8.2%, p  < 0.001). A multivariable forward linear regression model revealed that SSRI treatment during pregnancy was not a significant contributor to TT4 levels ( p  = 0.497). Conclusions SSRI treatment during pregnancy had no direct effect upon the newborn's adaptation of the hypothalamic-pituitary-thyroidal axis, but several other maternal and delivery characteristics were revealed to possibly impact newborn thyroid function.

Background Thalassemia is an inherited autosomal recessive blood disorder causing abnormal formation of hemoglobin, known as a syndrome of anemia with microcytic erythrocytes. It is the most common genetic disorder worldwide, with a high prevalence among individuals of Mediterranean descent. The state of homozygosity of the beta-globin mutated gene is known as beta-thalassemia major, and these patients require regular blood transfusions and iron chelation therapy for survival. The rapid loss of red blood cells among affected individuals activates compensatory mechanisms of excessive medullary and extramedullary hematopoiesis, leading to severe skeletal bone deformity. Case presentation We present the case of a 39-year-old Bedouin male, diagnosed with beta-thalassemia major at infancy, with diagnosed homozygosity for the intervening sequence 2-1 (guanine > adenine) mutation. Since early infancy, he started receiving blood transfusions with a gradual increase in treatment frequency through adulthood due to the severe clinical progression of the disease. He was referred to the oral and maxillofacial surgery department at Galilee Medical Center to evaluate his facial deformity in the upper jaw and treat his severe periodontal disease. The patient presented maxillary overgrowth, and severe dental deformity resulted in progressive disfigurement and difficulty chewing, swallowing, and speaking. To address the challenge of surgical treatment, we utilized the advantage of three-dimensional planning and printing technology to simulate the optimal result. Resection of maxillary bone overgrowth and insertion of custom-made subperiosteal implants were followed by rehabilitation of both jaws to the patients' satisfaction at 3-year follow-up. Conclusions The ongoing implementation of state-of-the-art technologies such as virtual reality and three-dimensional printing has become a prominent component in surgical toolsets. Comprehensive case simulation and accurate planning before surgery will improve surgical results and patient satisfaction. This approach is highly advocated when approaching a case of rare maxillofacial deformity associated with either genetic or orphan diseases.

Objective Nasal obstruction is a common complaint. The Nasal Obstruction Symptom Evaluation scale (NOSE) is a reliable validated tool used to assess the quality of life of patients with nasal obstruction. The purpose of this study is to validate the Hebrew version of the NOSE scale (He‐NOSE). Methods A prospective instrument validation was conducted. The NOSE scale was translated primarily from English to Hebrew and then back from Hebrew to English according to the accepted guidelines of the cross‐cultural adaptation process. The study group included surgery candidates suffering from nasal obstruction due to a deviated nasal septum and/or inferior turbinate hypertrophy. The study group completed the validated He‐NOSE questionnaire twice prior to the surgery and once again, a month post‐surgery. A control group of individuals with no history of nasal complaints or surgeries was asked to complete the questionnaire once. Reliability, internal consistency, validity, and responsiveness to change of the He‐NOSE were evaluated. Results Fifty‐three patients and 100 controls were included in this study. The scale showed excellent ability to discriminate between the study and the control group, exhibiting significantly lower scores in the control group (73.8 and 7 average scores respectively, p < .001). Good internal consistency (Cronbach's alpha .71 and .76) and test–retest reliability (Spearman rank correlation r = .752, p < .0001) were measured. Moreover, the scale revealed remarkable responsiveness to change (p < .00001). Conclusion The translated and adapted He‐NOSE scale can be a useful tool to be applied in both clinical and research fields when assessing nasal obstruction. Level of evidence N/A. This is a prospective instrument translation and validation of the Nasal Obstruction Symptom Evaluation (NOSE) scale in Hebrew. Cross‐cultural adaptation was performed according to accepted guidelines worldwide. Findings demonstrate that the validated Hebrew NOSE scale can be a valuable tool to be applied in both clinical and research fields when assessing nasal obstruction.