Background: Obesity is associated with metabolic syndrome and fat accumulation in various organs such as the liver and the kidneys. Our goal was to assess, using magnetic resonance imaging (MRI) Dual-Echo phase sequencing, the association between liver and kidney fat deposition and their relation to obesity. Methods: We analyzed MRI scans of individuals who were referred to the Chaim Sheba Medical Center between December 2017 and May 2020 to perform a study for any indication. For each individual, we retrieved from the computerized charts data on sex, and age, weight, height, body mass index (BMI), systolic and diastolic blood pressure (BP), and comorbidities (diabetes mellitus, hypertension, dyslipidemia). Results: We screened MRI studies of 399 subjects with a median age of 51 years, 52.4% of whom were women, and a median BMI 24.6 kg/m². We diagnosed 18% of the participants with fatty liver and 18.6% with fat accumulation in the kidneys (fatty kidneys). Out of the 67 patients with fatty livers, 23 (34.3%) also had fatty kidneys, whereas among the 315 patients without fatty livers, only 48 patients (15.2%) had fatty kidneys (p < 0.01). In comparison to the patients who did not have a fatty liver or fatty kidneys (n = 267), those who had both (n = 23) were more obese, had higher systolic BP, and were more likely to have diabetes mellitus. In comparison to the patients without a fatty liver, those with fatty livers had an adjusted odds ratio of 2.91 (97.5% CI; 1.61–5.25) to have fatty kidneys. In total, 19.6% of the individuals were obese (BMI ≥ 30), and 26.1% had overweight (25 < BMI < 30). The obese and overweight individuals were older and more likely to have diabetes mellitus and hypertension and had higher rates of fatty livers and fatty kidneys. Fat deposition in both the liver and the kidneys was observed in 15.9% of the obese patients, in 8.3% of the overweight patients, and in none of those with normal weight. Obesity was the only risk factor for fatty kidneys and fatty livers, with an adjusted OR of 6.3 (97.5% CI 2.1–18.6). Conclusions: Obesity is a major risk factor for developing a fatty liver and fatty kidneys. Individuals with a fatty liver are more likely to have fatty kidneys. MRI is an accurate modality for diagnosing fatty kidneys. Reviewing MRI scans of any indication should include assessment of fat fractions in the kidneys in addition to that of the liver.

Background: The term “fatty kidney” refers to the accumulation of fat within the kidney. There is no clear definition of a fatty kidney. In our previous study, we defined a fatty kidney as one with fat accumulation of more than 4% in the kidney as detected by magnetic resonance imaging (MRI). This condition is associated with renal inflammation and contributes to the development of kidney dysfunction. Fat accumulation in the kidney can be detected using imaging modalities such as computed tomography (CT) or MRI. Given the clinical importance of renal fat deposition, the aim of this review was to investigate how imaging findings in this condition correlate to disease prevalence and metabolic disorders. Methods: A systematic review was conducted in accordance with the PRISMA guidelines. The databases searched included PubMed, Scopus, Web of Science, and Cochrane Library up to August 2024. Studies employing MRI or CT for renal fat quantification were included. Data were extracted, and their quality was assessed using the QUADAS-2 tool. Results: Twenty-eight studies comprising 6994 participants met the inclusion criteria. Most studies used MRI (75%) for fat quantification, with CT limited to renal sinus evaluation. Renal fat fractions (FFs) ranged from 0.4% to 55.3%, with higher values consistently observed in individuals with obesity, diabetes, chronic kidney disease, and hypertension. A consistent positive association was observed between fatty kidney and fatty liver, suggesting shared pathogenic mechanisms. Conclusions: Fatty kidney appears to be a distinct and clinically relevant entity with strong links to metabolic dysfunction. Imaging-based quantification—particularly MRI—offers a promising tool for early detection, yet standardization is needed. The findings underscore the need for further research into fatty kidney as a modifiable risk factor for renal and cardiovascular disease.

Background: The Covid-19 pandemic began in Israel on February 2020. Between February and October 2020, 2 periods of lockdown were imposed on Israeli population. Objective: To assess the effect of the Covid-19 pandemic on visits to the emergency department (ED) and on hospitalizations in medical wards in Israel’s Chaim Sheba Medical Center, and to compare the effect during the first and second lockdowns. Methods: Data regarding the number of visits of non-Covid-19 patients to the ED and the number of admissions to the medical wards, were extracted from the computerized system of the hospital. Data were analyzed for patients' characteristics, length of stay in the medical wards, in hospital mortality and the rate of 7 and 30 days re-hospitalization, and compared to the same period during 2019. Results: Total visits to the Sheba ED during March-October decreased by 18.5%. The most dramatic decrease occurred during the first lockdown. The number of patients admitted to the Sheba medical wards decreased by 28% (P < 0.05). The length of stay decreased from 3.69 days during 2019 to 3.42 days during 2020 (P < 0.01). The most pronounced decrease in the length of stay was observed during the second month of the first lockdown. During the pandemic, hospitalized patients at Sheba were older and were less likely to be males. The in-hospital absolute non-COVID mortality decreased from 913 to 858 respectively. Conclusions: The Covid-19 crisis emphasizes the role of medical wards in the care of complex patients. Medical wards in Israel were at the frontline of Israel's battle against this pandemic, while continuing to treat very complex non-Covid patients. To avoid burnout of the medical staff who treat very intensively complex patients, we believe these wards should be strengthen with specialists having expertise in treating these patients. Due to our insights, the Sheba medical Center is now redesigning the concept of how intensive care beds should be managed in a big tertiary center.

The emergency department (ED) is the initial point of contact between hospital staff and patients potentially infected with SARS-CoV-2, thus, prevention of inadvertent exposure to other patients is a top priority. We aimed to assess whether the introduction of antigen-detecting rapid diagnostic tests (Ag-RDTs) to the ED affected the likelihood of unwanted SARS-CoV-2 exposures. In this retrospective single-center study, we compared the rate of unwarranted exposure of uninfected adult ED patients to SARS-CoV-2 during two separate research periods; one before Ag-RDTs were introduced, and one with Ag-RDT used as a decision-support tool. The introduction of Ag-RDTs to the ED significantly decreased the relative risk of SARS-CoV-2-negative patients being incorrectly assigned to the COVID-19 designated site (“red ED”), by 97%. There was no increase in the risk of SARS-CoV-2-positive patients incorrectly assigned to the COVID-19-free site (“green ED”). In addition, duration of ED admission was reduced in both the red and the green ED. Therefore, implementing the Ag-RDT-based triage protocol proved beneficial in preventing potential COVID-19 nosocomial transmission.

Background Sheba Medical Center (SMC) is the largest hospital in Israel and has been coping with a steady increase in total Emergency Department (ED) visits. Over 140,000 patients arrive at the SMC's ED every year. Of those, 19% are admitted to the medical wards. Some are very short hospitalizations (one night or less). This puts a heavy burden on the medical wards. We aimed to identify the characteristics of short hospitalizations. Methods We retrospectively retrieved data of consecutive adult patients admitted to our hospital during January 1, 2013, to December 31, 2019. We limited the cohort to patients who were admitted to the medical wards. We divided the study group into those with short and those with non-short hospitalization. Results Out of 133,126 patients' admissions, 59,994 (45.0%) were hospitalized for short term. Patients in the short hospitalization group were younger and had fewer comorbidities. The highest rate of short hospitalization was recorded during night shifts (58.4%) and the rate of short hospitalization was associated with the ED daily patient load (r = 0.36, p < 0.001). The likelihood of having a short hospitalization was most prominent in patients with suicide attempt (80.0% of those admitted for this complaint had a short hospitalization), followed by hypertension (68.6%). However, these complaints accounted for only 0.7% of the total number of short hospitalizations. Cardiac and neurological complaints however, made up 27.4% of the short hospitalizations. Conclusions short hospitalizations in medical wards have special characteristics that may render them predictable. Lowering the ED load may decrease short hospitalizations. Referring patients with cardiac and neurological complains to short term units may decrease the rate of short hospitalizations in the medical wards and improve the care in these wards.

Background: Sheba Medical Center (SMC) is the largest hospital in Israel and has been coping with a steady increase in total Emergency Department (ED) visits. Over 140,000 patients arrive at the SMC's ED every year. Of those, 19% are admitted to the medical wards. Some are very short hospitalizations (one night or less). This puts a heavy burden on the medical wards. We aimed to identify the characteristics of short hospitalizations. Methods: We retrospectively retrieved data of consecutive adult patients admitted to our hospital during January 1, 2013, to December 31, 2019. We limited the cohort to patients who were admitted to the medical wards. We divided the study group into those with short, those with non-short hospitalization and those who were discharged from the ED. Results: Out of 133,126 admissions, 59,994 (45.0%) were hospitalized for short term. Patients in the short hospitalization group were younger and had fewer comorbidities. The highest rate of short hospitalization was recorded during night shifts (58.4%) and the rate of short hospitalization was associated with the ED daily patient load (r = 0.35, p < 0.001). The likelihood of having a short hospitalization was most prominent in patients with suicide attempt (80.0% of those admitted for this complaint had a short hospitalization), followed by hypertension (68.6%). However, these complaints accounted for only 0.7% of the total number of short hospitalizations. Cardiac and neurological complaints however, made up 27.4% of the short hospitalizations. The 30-days mortality rate was 7.0% in the non-short hospitalization group, 4.3% in the short hospitalization group and 0.9% in those who were discharged from the ED. Conclusions: Short hospitalizations in medical wards have special characteristics that may render them predictable. Increasing the rate of treating personnel per patient during peak hours and referring subsets of patients with cardiac and neurological complaints to ED-associated short term observation units may decrease short admissions to medical departments.