Israel Medical Association Journal

Intranasal corticosteroids (INCS) are frequently prescribed for allergic rhinitis but can also be used for other indications, such as sinusitis and nasal congestion. INCS are considered effective in controlling nasal symptoms with a similar safety profile among the different INCS formulations. In this review, we presented all available INCS formulations marketed in Israel while emphasizing the differences among them with a practical approach for medical providers in selecting a specific INCS agent. We conducted a literature review using PubMed, Medline, and Google Scholar to identify articles related to INCS, triamcinolone acetonide, fluticasone propionate, and fluticasone furoate. Currently, five brands of INCS are available in Israel. While they all have similar efficacy in treating nasal symptoms, only fluticasone furoate consistently demonstrated a reduction in ocular symptoms compared to placebo. Other differences included sensory attributes, recommended regimens, approved age for use, and cost. When selecting INCS agent, a personalized approach is advised. Factors such as age, co-morbidities, concurrent medications, pregnancy, and patient preferences should be considered.

Background: Opioid-base sedation is considered the first line choice in ventilated patients in intensive care units (ICU). Few studies have examined sedation in ventilated patients outside the ICU. A pilot program was initiated in the internal medicine ward A at Meir Hospital in Kfar Saba, Israel. A new sedation protocol was implemented for opioid-based versus benzodiazepine-based sedation in ventilated patients.

Objectives: To compare the rates and intensity of delirium between patients who received opioid-based sedation vs. benzodiazepine-based sedation. To compare parameters related to morbidity and mortality.

Methods: We conducted a retrospective before-after intervention study based on data collection. Patients who were admitted to the internal medicine ward A from January 2020 to January 2021 and required sedation and ventilation were included. Demographic data, medical history data, admission data, Richmond Agitation and Sedation Scale scores, hemodynamic parameters, reports of falls and self-harm, and data regarding unplanned extubation were collected, as well as the need for additional sedative drugs.

Results: Chronic hypertension was more common in the opioid group. Delirium intensity tended to be higher in the benzodiazepine group. The number of ventilation days was significantly higher in the benzodiazepine group, as was the number of times adjuvant sedation was required.

Conclusions: Opioid-based sedation outside the ICU was associated with shorter ventilation days, tendency toward lower intensity of delirium, and reduction in requirement of adjuvant sedative drugs compared to benzodiazepine-based sedation. Further studies are required to confirm the findings.

In this special issue of Israel Medical Association Journal (IMAJ) we expose readers to the topic of artificial intelligence (AI) in medicine. AI has become a powerful tool, which enables healthcare professionals to personalize treatment based on many factors, including genetic analyses of tumors, and to consider other co-morbidities affecting a specific patient. AI gives physicians the ability to analyze huge amounts of data and to combine data from different sources. AI can be implemented make a diagnosis based on computed tomography (CT) scans and magnetic resonance imaging (MRI) scans using deep machine learning and data that are stored in the memory of mega computers. AI assists in tailoring more precise surgery to train surgeons before surgery and to support surgeons during procedures. This advancement may benefit surgical procedures by making them more accurate and faster without cutting unnecessary tissues (e.g., nerves and blood vessels); thus, patients face fewer complications, lower rates of infection, and more operation theater time. In this issue, we include three original studies that describe the use of AI in academia and eight review articles that discuss applications of AI in different specialties in medicine. One of the review articles addresses ethical issues and concerns that are raised due to the more advanced use of AI in medicine.

Background: Completing internal medicine specialty training in Israel involves passing the Israel National Internal Medicine Exam (Shlav Aleph), a challenging multiple-choice test. multiple-choice test. Chat generative pre-trained transformer (ChatGPT) 3.5, a language model, is increasingly used for exam preparation.

Objectives: To assess the ability of ChatGPT 3.5 to pass the Israel National Internal Medicine Exam in Hebrew.

Methods: Using the 2023 Shlav Aleph exam questions, ChatGPT received prompts in Hebrew. Textual questions were analyzed after the appeal, comparing its answers to the official key.

Results: ChatGPT 3.5 correctly answered 36.6% of the 133 analyzed questions, with consistent performance across topics, except for challenges in nephrology and biostatistics.

Conclusions: While ChatGPT 3.5 has excelled in English medical exams, its performance in the Hebrew Shlav Aleph was suboptimal. Factors include limited training data in Hebrew, translation complexities, and unique language structures. Further investigation is essential for its effective adaptation to Hebrew medical exam preparation.

In the grand theater of modern medicine, artificial intelligence (AI) has swiped the lead role, with a performance so riveting it deserves an Oscar, or at least a Nobel. From the intricate labyrinths of our arteries to the profound depths of our peepers, AI is the new maestro, conducting symphonies of data with the finesse of a seasoned virtuoso [1,2].

Artificial intelligence (AI) has emerged as a powerful technology in medicine, with a potential to revolutionize various aspects of disease management. In recent years, substantial progress has been made in the development and implementation of AI algorithms and models for the diagnosis, screening, and monitoring of retinal diseases. We present a brief update on recent advancements in the implementation of AI in the field of retinal medicine, with a focus on age-related macular degeneration, diabetic retinopathy, and retinopathy of prematurity. AI algorithms have demonstrated remarkable capabilities in automating image analysis tasks, thus enabling accurate segmentation and classification of retinal pathologies. AI-based screening programs hold great promise in cost-effective identification of individuals at risk, thereby facilitating early intervention and prevention. Future integration of multimodal imaging data including optical coherence tomography with additional clinical parameters, will further enhance the diagnostic accuracy and support the development of personalized medicine, thus aiding in treatment selection and optimizing therapeutic outcomes. Further research and collaboration will drive the transformation of AI into an indispensable tool for improving patient outcomes and enhancing the field of retinal medicine.

Artificial intelligence (AI) has emerged as a transformative group of technologies in the field of medicine. Specifically in cardiology, numerous applications have materialized, and these are developing exponentially. AI-based risk prediction models leverage machine learning algorithms and large datasets to probe multiple variables, aid in the identification of individuals at high risk for adverse events, facilitate early interventions, and enable personalized risk assessments. Unique algorithms analyze medical images, such as electrocardiograms, echocardiograms, and cardiac computed tomography scans to enable rapid detection of abnormalities and aid in the accurate identification of cardiac pathologies. AI has also shown promise in guiding treatment decisions during coronary catheterization. In addition, AI has revolutionized remote patient monitoring and disease management by means of wearable and implantable sensing technologies. In this review, we discussed the field of cardiovascular genetics and personalized medicine, where AI holds great promise. While the applications of AI in cardiology are promising, challenges such as data privacy, interpretability of the findings, and multiple matters regarding ethics need to be addressed. We presented a succinct overview of the applications of AI in cardiology, highlighting its potential to revolutionize risk prediction, diagnosis, treatment, and personalized patient care.

Twenty-five years ago, we, the undersigned together with the chairman of the Israel Medical Association at the time, Prof. Yoram Blachar, and the Secretary General of the Israel Medical Association, Adv. Leah Wapner, joined forces to found an Israeli medical journal in English. The purpose of this journal was to present to the world Israeli clinical medicine and medical research. That journal is none other than the Israel Medical Association Journal (IMAJ), and in 2023 its 300th issue was published. In 2024 we keep going, taking pride in the fact that every one of those past 300 issues has been published and dispatched on time, without delay, regardless of any circumstances.

A dramatic portrait bust of the physician Gabriele da Fonseca (1586? to 1668) at prayer is considered by art historians to be one of the finest late works of Gian Lorenzo Bernini (1598–1680), the preeminent sculptor of 17th century Rome. This statue is of medical as well as artistic interest. First, Fonseca is shown wearing his physician’s robe, thus celebrating his successful career as a leading medical figure in Rome, holding both Papal and university appointments at the highest level. In addition, the positioning of the statue in a special chapel designed by Bernini highlights Fonseca’s role as an influential participant in the introduction of quinine into Europe as a cure for malaria. Last, an examination of the statue’s hands identifies a number of pathologies and anatomical anomalies that raise interesting questions, regrettably unanswerable given the information presently available, concerning Fonseca’s illnesses and cause of death.

On 7 October 2023, a large-scale invasion by armed Hamas terrorists occurred in southern Israel. Approximately 1500 militants breached the Gaza security barrier using tractors, RPGs, and explosives. Concurrently, the terrorists utilized various means including armed vehicles, motorized paragliders, sea incursions, and a massive rocket attack launched toward Israel. On entering Israeli territory, the militants dispersed and targeted several towns, kibbutzim (collective communities), and Israel Defense Forces (IDF) military bases near Gaza. This strategy resulted in a death toll exceeded 1300 civilians and soldiers. In addition, more than 240 individuals were abducted. This attack occurred in one day. In this article, we introduce the Israeli National Institute of Forensic Medicine, which specialized in forensic analysis during mass casualty incidents, and pivotal role it played on 7 October. We present a detailed discussion on methods, challenges, and adaptations the institute took in response to the event of 7 October.

Background: At the beginning of 2020, the coronavirus disease 2019 (COVID-19) pandemic presented a new burden on healthcare systems.

Objectives: To evaluate the impact of the COVID-19 pandemic on the outcome of non-COVID patients in Israel.

Methods: We conducted a retrospective observational cohort study at a tertiary medical center in Israel. From December 2018 until June 2022, 6796 patients were hospitalized in the internal medicine wards. Patients were grouped based on their admission date: admitted during COVID waves (waves group), admitted between waves (interim group), and admitted during the same months in the previous year (former-year group).

Results: Mortality during hospitalization and 30-day mortality were higher in the waves group compared to the interim and former-year groups (41.4% vs. 30.5% and 24%, 19.4% vs. 17.9% and 12.9%, P < 0.001). In addition, 1-year mortality was higher in the interim group than in the waves and former-year group (39.1 % vs. 32.5% and 33.4%, P = 0.002). There were significant differences in the readmissions, both at 1 year and total number. The waves group had higher rates of mechanical ventilation and noradrenaline administration during hospitalization. Moreover, the waves group exhibited higher troponin levels, lower hemoglobin levels, and more abnormalities in liver and kidney function.

Conclusions: Hospitalized non-COVID patients experienced worse outcomes during the peaks of the pandemic compared to the nadirs and the preceding year, perhaps due to the limited availability of resources. These results underscore the importance of preparing for large-scale threats and implementing effective resource allocation policies.

Background: Congestive heart failure (CHF) with reduced ejection fraction (HFrEF) or with preserved ejection fraction (HFpEF) is a common diagnosis in patients hospitalized in the department of internal medicine. Recently, the therapeutic regimens were updated, as the sodium-glucose cotransporter-2 (SGLT2) inhibitors became an integral part of the therapeutic regimen for either HFrEF or HFpEF.

Objectives: To define the demographic and clinical characteristics of CHF patients hospitalized in the department of medicine.

Methods: We conducted a retrospective cohort study that included all patients hospitalized in the departments of medicine at the Rabin Medical Center, Israel, between 2016 and 2019. Demographic and clinical background, in-hospital procedures, discharge regimens, and outcome parameters were evaluated according to HFrEF/HFpEF.

Results: The cohort included 4458 patients. The majority (97%) presented with a preexisting diagnosis, whereas HF was an active condition in only half of them. The rates of HFrEF/HFpEF were equal. In most cases, the trigger of the exacerbation could not be determined; however, infection was the most common cause. There were basic differences in the demography, clinical aspects, and therapeutic regimens at discharge between HFrEF and HFpEF. Both conditions were associated with high in hospital mortality (8%) and re-admissions rates (30 days [20%], 90 days [35%]) without any difference between them.

Conclusions: HFrEF/HFpEF patients differed by demographics and co-morbidities. They were equally represented among patients admitted to medical wards and had similar prognosis. For both diagnoses, hospitalization should be considered for updating therapeutic regimens, especially with SGLT2 inhibitors.

Stevens-Johnson Syndrome (SJS), or toxic epidermal necrolysis, is a rare syndrome that develops after an allergic reaction to a medication [1,2]. It affects the skin and the mucocutaneous tissue. Individuals diagnosed with SJS are rarely referred to a rehabilitation medicine (RM) facility.

The annual prevalence of SJS is about one in one million. The skin is covered with blisters. Usually, it affects about 10 % of body surface area. The patients are treated usually by ophthalmologists, dermatologists, allergologists, and immunologists. When severe complications occur, plastic surgeons and intensive care physicians may also be involved. Few publications were found that linked SJS with comprehensive rehabilitation treatment [3-5].

Leonardo da Vinci was a man of art and science. He became the archetype of the Renaissance era. Leonardo exhaustively studied the proportions of the body, drawing Vitruvian Man in 1490. It is regarded as a universal cultural icon. Leonardo's anatomical illustrations were of notable precision, and he is still considered as the pioneer of modern anatomy. We focus on Leonardo's masterpiece Virgin of the Rocks, which displays the intersection between his prodigious artistic talent and his commitment to science. This master painting discloses discordance between the artist's vast anatomical knowledge and its actualization in the painting. Consequently, many enigmas arise: How could the expert of anatomy, considered as the canon man of proportions, paint anatomical errors and why did he not actualize his knowledge in the painting? Was this an error or intentional? Could the painting techniques he used explain optical illusions that distorted the images? Was he so far ahead of his time that he did not feel compelled to paint realistically, but rather preferred to let his imagination and creativity run free? Some 500 years after Leonardo da Vinci's death, there is no one answer, but there is room for much speculation.

Background: Clinical dysentery causes hundreds of thousands of deaths annually worldwide. However, current recommendations reserve antibiotics for those either clinically sick or with highly suspected cases of shigellosis. This treatment stems from rising antibiotic resistance. Children diagnosed with clinical dysentery in the pediatric emergency department (PED) are regarded more cautiously.

Objectives: To explore the use of antibiotics in children diagnosed with clinical dysentery in the PED.

Methods: A retrospective case study of children with clinical dysentery at a single PED during the years 2015 and 2018. Demographics as well as clinical findings were compared to culture results and antibiotic treatment.

Results: The study included 281 children who were diagnosed with clinical dysentery during the study period; 234 (83%) were treated with antibiotics. However, cultures were positive in only 162 cases (58%). Only 32% were Shigella spp. Younger age, fever, and leukocytosis were related to antibiotic treatment.

Conclusions: The diagnosis of clinical dysentery is misgiven commonly in the PED leading to widespread use of antibiotics when not indicated. This treatment may impact antibiotic resistance patterns. Further studies and interventions are necessary to create clear guidelines in the PED setting.