- Acute Ischemic Stroke Management
- Venous Thromboembolism Diagnosis and Management
- Nutrition and Health in Aging
- Sepsis Diagnosis and Treatment
- Magnesium in Health and Disease
- Thermal Regulation in Medicine
- Frailty in Older Adults
- Muscle metabolism and nutrition
- Acute Myocardial Infarction Research
- Systemic Lupus Erythematosus Research
- Body Composition Measurement Techniques
- Hemodynamic Monitoring and Therapy
- Peripheral Neuropathies and Disorders
- Cardiac, Anesthesia and Surgical Outcomes
- Folate and B Vitamins Research
- Emergency and Acute Care Studies
- Complement system in diseases
- Atrial Fibrillation Management and Outcomes
Sheba Medical Center
2022-2024
Tel Aviv University
2022-2024
Bridge University
2024
Background Under- or late identification of pulmonary embolism (PE)—a thrombosis 1 more arteries that seriously threatens patients’ lives—is a major challenge confronting modern medicine. Objective We aimed to establish accurate and informative machine learning (ML) models identify patients at high risk for PE as they are admitted the hospital, before their initial clinical checkup, by using only information in medical records. Methods collected demographics, comorbidities, medications data...
<title>Abstract</title> <bold>Background. S</bold>eptic shock is a leading cause of mortality. Yet, blood cultures are negative in many cases, questioning the diagnosis. In quest for characterization “culture septic shock”, impact chronic vasodilating medications was questioned. <bold>Methods.</bold> This retrospective analysis patients with vital signs compatible (fever > 37.9 or < 36ºC and systolic pressure 90 mmHg). <bold>Results.</bold> The study included 3,726 (ages 65 to 90). Of...
<title>Abstract</title> <bold>Background. </bold>Hypomagnesemia, known to be associated with physiologic stress and states of inflammation, is also common in acutely ill, hospitalized patients. The potential association between hypomagnesemia increased risk for VTE (venous thromboembolism) not well established. <bold>Methods.</bold> This was a retrospective analysis elderly patients tertiary medical center. <bold>Results. </bold>A cohort 6,428 (57.8% males, median age 77 years (IQR 71 - 84))...
Background. Hypothyroidism is very common worldwide. It known to be associated with frailty which in turn, increased morbidity and mortality the elderlies. Low ALT blood activity an established marker for sarcopenia frailty. The incidence outcomes of association low values hypothyroidism, as manifested elevated TSH levels, unknown. Methods. This was a retrospective analysis hospitalized patients large, tertiary hospital. Results. Over period 21 years, overall population 16,827 were...
Background: Hypothyroidism is very common worldwide. It known to be associated with frailty which, in turn, increased morbidity and mortality the elderly. Low ALT blood activity an established marker for sarcopenia frailty. The incidence outcomes of association between low values hypothyroidism, as manifested elevated TSH levels, unknown. objective this study was assess if could improve prediction clinical outcome hypothyroid patients. Methods: This a retrospective analysis hospitalized...
Accurate prediction of mortality upon hospital admission is great value, both for the sake patients and appropriate resources' allocation. A myriad assessment tools exists this purpose. The evidence relating to comparative value clinical versus established indexes are scarce. We analyzed accuracy a senior physician's in retrospective cohort crude, general patients' population later on propensity matched population. In one department internal medicine tertiary hospital, 9891 admitted...
To investigate whether low complement levels can predict worse outcomes in patients hospitalized with positive anti-phospholipid antibodies.This was a retrospective cohort study. We obtained demographics, laboratory, and prognostic data of all consecutive between 2007 2021, for whatever reason, at least one positively abnormal antibody, who were also tested (C3 or C4). then compared the rates long-term mortality, 1-year deep vein thrombosis, pulmonary emboli groups normal levels....
<sec> <title>BACKGROUND</title> Under- or late identification of pulmonary embolism (PE)—a thrombosis 1 more arteries that seriously threatens patients’ lives—is a major challenge confronting modern medicine. </sec> <title>OBJECTIVE</title> We aimed to establish accurate and informative machine learning (ML) models identify patients at high risk for PE as they are admitted the hospital, before their initial clinical checkup, by using only information in medical records....