Israel Medical Association Journal

Background: Some studies have shown that patients who are hospitalized with severe COVID-19 also have low levels of vitamin D. It is known that vitamin D can reduce the risk of infections and down regulate the immune/inflammatory reaction.

Objectives: To investigate the association between vitamin D status and lymphocyte subpopulations in hospitalized pneumonia COVID-19 patients.

Methods: In 33 positive severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) patients with radiologic evidence of interstitial pneumonia and in 16 healthy control subjects matched for age, sex, and seasonality lymphocyte subpopulations and vitamin D levels were evaluated.

Results: The majority of patients with COVID-19 pneumonia (70.8%) presented vitamin D deficiency. The percentages of neutrophils presented a negative correlation (r = -0.74; P < 0.001), whereas the percentages of lymphocytes presented a positive correlation (r = 0.43; P < 0.01) with 25(OH)D. Moreover, vitamin D levels were positively correlated with CD3+ (r = 0.37, P < 0.05), CD4+ (r = 0.41, P < 0.05), CD8+ (r = 0.32, P < 0.07), and CD19+ (r = 0.38, P < 0.05).

Conclusions: This preliminary study confirms the high prevalence of vitamin D deficiency in patients with COVID-19 pneumonia and that vitamin D deficiency is associated with a reduction of lymphocyte subsets and altered T-lymphocyte activation. This finding may contribute to clarify the mechanisms by which vitamin D influences the course and outcome of COVID-19 pneumonia.

Background: Lower extremity amputation related to diabetes is a serious outcome, which can have devastating effects on the patient and family. The epidemiology of amputations has recently been used as a possible measure of the adequacy of medical prevention and treatment of diabetes and diabetic foot complications.

Objectives: To report on patients undergoing amputations at one medical center in Israel, their co-morbidities, and the outcomes.

Methods: A retrospective chart study was conducted of amputees operated between 1 September 2017 and 30 September 2018.

Results: The study population comprised 72 patients who had major amputations for diabetes and/or ischemia, mean age 72 ± 10 years, 74% males, 93% with type 2 diabetes. Mean age corrected Charlson Comorbidity Index was 8.2 ± 2.1 with 90% (65 patients) presenting with a score of 6 or higher. Before the recent deterioration, fewer than 20% of the patients exited their home routinely and 24% had an official diagnosis of dementia. There were 31 below knee amputations (BKA) and 41 above knee amputations (AKA). The 30-day, 3-month, 1-year, and 2-year mortality rates were 15.3%, 27.8%, 43.1%, and 54.2% respectively. Median survival period was 20 months. Survival after AKA was 13.4 ± 20, which was significantly less than after BKA (25.4 ± 2.7, P = 0.097).

Conclusions: Factors other than the quality of management of patients with diabetes and complications may contribute to amputation rates; thus, making speculations from international comparisons of raw amputation rates problematic. This population was less healthy than reported in most studies.

Overuse of healthcare services is a common phenomenon defined as: “a healthcare service that is provided under circumstances in which its potential for harm exceeds the possible benefit.” It is expressed in the gap between desired services and available ones and is accompanied by high financial and human life costs. One-fifth to one-third of patients receives unnecessary, ineffective, or potentially harmful treatments or services. One of the greatest challenges to understanding overuse is the lack of definition for appropriate use. Apart from the physical and mental damage caused by overuse or improper use of medical services, this phenomenon has many implications, such as increasing waiting times for services, creating long queues, and incurring considerable financial costs as over 10% of hospital expenses are used to correct medical errors or preventable infections. Government intervention through economic arrangements such as deductibles and pre-authorization of services by the insurer are partially effective in reducing the overuse of health services. Additional solutions include ensuring safety and quality of care as well as shared decision-making.

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: Guidelines for pandemic preparedness emphasize the role of sentinel and syndromic surveillance in monitoring pandemic spread.

Objectives: To examine advantages and obstacles of utilizing a sentinel influenza surveillance system to monitor community severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) activity based on Israel's experience from mid-March to mid-May 2020.

Methods: Several modifications were applied to the influenza surveillance system. The clinical component relied mainly on pneumonia and upper respiratory infection (URI) consultations with primary care physicians as well as visits to emergency departments (ED) due to pneumonia. The virological data were based on nasopharyngeal swabs obtained from symptomatic patients who visited outpatient clinics.

Results: By week 12 of the pandemic, the crude and age-specific primary physician consultation rates due to URI and pneumonia declined below the expected level, reaching nadir that lasted from week 15 until week 20. Similarly, ED visits due to pneumonia were significantly lower than expected from weeks 14 and 15 to week 20. The virological surveillance started on week 13 with 6/253 of the swabs (2.3%) positive for SARS-CoV-2. There was a peak of 13/225 positive swabs on week 145.8%. During weeks 17–20, none of the swabs (47–97 per week) were positive for SARS-CoV-2. This trend was similar to national data.

Conclusions: The virological component of the surveillance system showed the SARS-CoV-2 community spread, but had low sensitivity when virus activity was low. The clinical component, however, had no yield. Sentinel surveillance can assist in monitoring future novel pandemics and should be augmented in revised preparedness plans.

Advances in Lymphoma management have resulted in significant improvements in patient outcomes over the last 50 years. Despite these developments, cardiotoxicity from lymphoma treatments remains an important cause of mortality and morbidity in this cohort of patients. We outlined the most common cardiotoxicities associated with lymphoma treatments and their respective investigation and management strategies, including the role of cardiac pre-assessment and late effects monitoring.

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: Potentially preventable readmissions of surgical oncology patients offer opportunities to improve quality of care. Identifying and subsequently addressing remediable causes of readmissions may improve patient-centered care.

Objectives: To identify factors associated with potentially preventable readmissions after index cancer operation.

Methods: The New York State hospital discharge database was used to identify patients undergoing common cancer operations via principal diagnosis and procedure codes between the years 2010 and 2014. The 30-day readmissions were identified and risk factors for potentially preventable readmissions were analyzed using competing risk analysis.

Results: A total of 53,740 cancer surgeries performed for the following tumor types were analyzed: colorectal (CRC) (42%), kidney (22%), liver (2%), lung (25%), ovary (4%), pancreas (4%), and uterine (1%). The 30-day readmission rate was 11.97%, 47% of which were identified as potentially preventable. The most common cause of potentially preventable readmissions was sepsis (48%). Pancreatic cancer had the highest overall readmission rate (22%) and CRC had the highest percentage of potentially preventable readmissions (51%, hazard ratio [HR] 1.42, 95% confidence interval [95%CI] 1.28–1.61). Risk factors associated with preventable readmissions included discharge disposition to a skilled nursing facility (HR 2.22, 95%CI 1.99–2.48) and the need for home healthcare (HR 1.61, 95%CI 1.48–1.75).

Conclusions: Almost half of the 30-day readmissions were potentially preventable and attributed to high rates of sepsis, surgical site infections, dehydration, and electrolyte disorders. These results can be further validated for identifying broad targets for improvement