Plasma Hemoglobin and Red Blood Cell Mass Levels as Dynamic Prognostic Markers for Progression and Survival in Pancreatic Neuroendocrine Tumors.

There are scarce data on readily available markers enabling immediate risk stratification and personalized management in patients with advanced pancreatic neuroendocrine tumors. This study explores the association of red blood cells-related parameters as prognostic markers in patients harboring pancreatic neuroendocrine tumors. Retrospective analysis of a tertiary medical center database, acquiring data of patients with pancreatic neuroendocrine tumors including demographics, tumor-related parameters and consecutive imaging results, vital status at last follow-up, and red blood cells parameters at baseline, last follow-up, and dynamics (last/baseline ratio). Univariate and multivariable analyses were performed. Sixty-seven patients were identified (mean age at diagnosis of 63±11 years, 56.7% males). Patients with disease progression had lower hemoglobin, red blood cells mass values and hematocrit at the last evaluation (p<0.001 for all comparisons), with red blood cells mass level<3.9 m/µl and a 6% and 9% relative reduction in hemoglobin and hematocrit levels, respectively, associated with an increased risk for disease progression. Similarly, patients deceased during the study period had lower hemoglobin, red blood cells mass values and hematocrit (p<0.03 for all) than those alive, at last follow-up. Eleven percent reduction in hemoglobin level was noted indicating a higher mortality risk (p=0.04). Negative hemoglobin and hematocrit dynamics were independently associated with increased risk for disease progression (p=0.03 and 0.049, respectively). In conclusion, decrease in red blood cells mass, hemoglobin and/or hematocrit levels are all associated with poor prognosis in patients with pancreatic neuroendocrine tumors. We suggest utilizing these parameters as complementary follow-up prognostic markers to radiologic imaging in this patients population.

Clinical Characterization of 162 COVID-19 patients in Israel: Preliminary Report from a Large Tertiary Center.

BACKGROUND: In February 2020, the World Health Organisation designated the name COVID-19 for a clinical condition caused by a virus identified as a cause for a cluster of pneumonia cases in Wuhan, China. The virus subsequently spread worldwide, causing havoc to medical systems and paralyzing global economies. The first COVID-19 patient in Israel was diagnosed on 27 February 2020. OBJECTIVES: To present our findings and experiences as the first and largest center for COVID-19 patients in Israel. METHODS: The current analysis included all COVID-19 patients treated in Sheba Medical Center from February 2020 to April 2020. Clinical, laboratory, and epidemiological data gathered during their hospitalization are presented. RESULTS: Our 162 patient cohort included mostly adult (mean age of 52 ± 20 years) males (65%). Patients classified as severe COVID-19 were significantly older and had higher prevalence of arterial hypertension and diabetes. They also had significantly higher white blood cell counts, absolute neutrophil counts, and lactate dehydrogenase. Low folic acid blood levels were more common amongst severe patients (18.2 vs. 12.9 vs. 9.8, P = 0.014). The rate of immune compromised patients (12%) in our cohort was also higher than in the general population. The rate of deterioration from moderate to severe disease was high: 9% necessitated non-invasive oxygenation and 15% were intubated and mechanically ventilated. The mortality rate was 3.1. CONCLUSIONS: COVID-19 patients present a challenge for healthcare professionals and the whole medical system. We hope our findings will assist other providers and institutions in their care for these patients.

Metabolic syndrome is associated to high-sensitivity cardiac troponin T elevation.

INTRODUCTION: Metabolic syndrome (MetS) and high-sensitivity cardiac troponin T (hs-TnT) are associated with higher risk for cardiovascular diseases (CVD). Our aim was to assess the relation between hs-TnT elevation and MetS in a general population sample. MATERIALS AND METHODS: Individuals participating in an annual health survey program between 2010 and 2016 were included in the study. Blood samples including hs-TnT levels were collected. The study population was divided into three groups based on hs-TnT levels - undetectable (<5 ng/L), intermediate (5-14 ng/L) and elevated (>14 ng/L). RESULTS: A total of 5994 subjects were included in the study, the mean age was 48.5 and 4336 (72%) were males. Compared with subjects with undetectable hs-TnT the prevalence of MetS was higher in those with detectable and elevated levels - 392 (10%) vs. 270 (15%) and 51 (33%), respectively (p < 0.001). In a multivariate model adjusted for age, gender and multiple co-morbidities, the number of MetS components and presence of MetS were significantly associated with an increased risk for detectable hs-TnT levels (OR = 1.02 {for each component}; 95% CI [1.00-1.05], p = 0.04) and (OR = 1.13; 95% CI [1.07-1.2], p < 0.001) respectively. Only the waist, glucose and hypertension components of the MetS were significantly associated with elevated troponin. CONCLUSIONS: The MetS and its distinct components have a cumulative impact on hs-TnT levels in apparently healthy subjects.

Somatic USP8 alteration affects the immune landscape of corticotroph pituitary adenomas- a pilot study.

INTRODUCTION: Somatic mutations in ubiquitin-specific protease-8 (USP8), encoding a deubiquinating protein, are found in approximately 30% of corticotroph-derived pituitary adenomas (CPAs). Stratifin, a protein encoded by SFN, inhibits USP8 catalytic activity. USP8 has immunomodulating properties that have been demonstrated in non-tumoral diseases. METHODS: We assessed the influence of USP8 on the immune landscape of CPA and validated this effect and its dependency on stratifin in large cohorts of non-pituitary tumors. We analyzed data of CPA samples (n = 20) and additional non-pituitary tumors from the TCGA database, using transcriptome signature-recognition algorithms. Immune tumor microenvironment (iTME) was compared both by USP8 and SFN expression levels (n = 843) and by USP8 mutation status and SFN expression (n = 12,389). RESULTS: CPA with activating USP8 mutations was associated with "cold" iTME compared with wild-type USP8 CPA, as reflected by lower fractions of immune cells, including B cells, CD4, regulatory and gamma/delta T cells, natural killer cells, M0 and M1 macrophages, dendritic cells, and eosinophils (p < 0.05 for all comparisons). Pathways altered by the presence of USP8 mutation, based on the most differentially expressed genes (3061 genes), included microglia pathogen phagocytosis and multiple toll-like receptor signaling pathways (p < 0.0001). In a validation analysis based on large cohorts of non-pituitary tumors, high expression of USP8 was associated with a suppressed iTME effect that was augmented by a low SFN expression. CONCLUSIONS: Our data demonstrate for the first time, to our knowledge, a distinct immune landscape of tumors based on USP8 status and expression and the dependency of this immunological effect on SFN expression.

Echocardiographic Killip Classification.

BACKGROUND: Although routine echocardiographic parameters such as ejection fraction are used to risk-stratify for death in patients referred for echocardiography, they have limited predictive value. The authors speculated that noninvasive hemodynamic echocardiographic data, assessing left ventricular filling pressure and output, stratified on the basis of the clinical Killip score, might have additive prognostic value on top of routine echocardiographic parameters. The authors created an echocardiographic correlate of this classification, using diastolic grade and stroke volume index (SVI) as indicators of pulmonary congestion and systemic perfusion, respectively, and evaluated the prognostic value of this correlate. METHODS: A retrospective study of consecutive patients (hospitalized or not) referred for echocardiography for a range of cardiac diagnoses in a tertiary medical center. A total of 556 patients in sinus rhythm who were evaluated by two sonographers, and reviewed by a single cardiologist, were included. Normal filling pressure and normal SVI (>35 mL/m2) defined echocardiographic Killip (eKillip) class 1. Patients with pseudonormal or restrictive diastolic patterns and normal SVI were ascribed to eKillip class 2 or 3, respectively. A pseudonormal or restrictive diastolic pattern and a subnormal SVI defined eKillip class 4. RESULTS: eKillip class 1 was present in 382 patients (68%); 115 (20%), 26 (5%), and 42 (7%) patients were in eKillip classes 2 to 4, respectively. Median follow-up time was 1,056 days (interquartile range, 729-1,390 days). A total of 105 deaths occurred. Univariate Cox regression analysis showed that eKillip class was associated with all-cause mortality; hazard ratios (HR) -2.73 (95% CI, 1.67-4.48), 3.19 (95% CI, 1.42-7.17), and 4.79 (95% CI, 2.58-8.89) for each eKillip class above 1 (P < .001). In a multivariate analysis adjusted for the Charlson comorbidity index, eKillip class remained independently associated with all-cause mortality (P = .04). CONCLUSIONS: eKillip class was associated with all-cause mortality among all patients undergoing echocardiography at a tertiary hospital.