COVID-19, a tale of two peaks: patients' characteristics, treatments, and clinical outcomes.

Coronavirus 2019 disease (COVID-19) continues to challenge healthcare systems globally as many countries are currently experiencing an increase in the morbidity and mortality. Compare baseline characteristics, clinical presentation, treatments, and clinical outcomes of patients admitted during the second peak to those admitted during the first peak. Retrospective analysis of 258 COVID-19 patients consecutively admitted to the Tel Aviv Medical Center, of which, 131 during the first peak (March 21-May 30, 2020) and 127 during the second peak (May 31-July 16, 2020). First and second peak patients did not differ in baseline characteristics and clinical presentation at admission. Treatment with dexamethasone, full-dose anticoagulation, tocilizumab, remdesivir, and convalescent plasma transfusion were significantly more frequent during the second peak, as well as regimens combining 3-4 COVID-19-directed drugs. Compared to the first peak, 30-day mortality and invasive mechanical ventilation rates as well as adjusted risk were significantly lower during the second peak (10.2%, vs 19.8% vs p = 0.028, adjusted HR 0.39, 95% CI 0.19-0.79, p = 0.009 and 8.8% vs 19.3%, p = 0.002, adjusted HR 0.29, 95% CI 0.13-0.64, p = 0.002; respectively). Rates of 30-day mortality and invasive mechanical ventilation, as well as adjusted risks, were lower in the second peak of the COVID-19 pandemic among hospitalized patients. The change in treatment strategy and the experienced gained during the first peak may have contributed to the improved outcomes.

Long-term Implications of Post-Procedural Left Ventricular End-Diastolic Pressure in Patients Undergoing Transcatheter Aortic Valve Implantation.

Current risk models have only limited accuracy in predicting transcatheter aortic valve Implantation (TAVI) outcomes and there is a paucity of clinical variables to guide patient management after the procedure. The prognostic impact of elevated left ventricular end-diastolic pressure (LVEDP) in TAVI patients is unknown. The aim of the present study was to evaluate the prognostic value of after-procedural LVEDP in patients who undewent TAVI. Consecutive patients with severe symptomatic aortic stenosis who undewent TAVI were divided into 2 groups according to after-procedural LVEDP above and below or equal 12 mm Hg. Collected data included baseline clinical, laboratory and echocardiographic variables. We evaluated the impact of elevated vs. normal LVEDP on in-hospital outcomes, short- and long-term mortality. Eight hundred forty-five patients were included in the study with complete in-hospital and late mortality data available for all survivors (median follow-up 29.5 months [IQR 16.5 to 48.0]). The mean age (±SD) was 82.3±6.2 years and mean Society of Thoracic Surgery score was 4.0%±3.0%. Patients with LVEDP>12 mm Hg (n = 591, 70%) and LVEDP≤12 mm Hg (n = 254, 30%) had a 6-months mortality rate of 6.8% and 2%, respectively (P=0.004) and a 1-year mortality rate of 10.1% vs 4.9%, respectively (p = 0.017). By multivariable analysis, after-procedural LVEDP>12 mm Hg was independently associated with all-cause mortality (HR 2.45, 95% CI 1.58 to 3.76, p <0.001) during long-term follow-up. In conclusion, elevated after-procedural LVEDP in patients who undewent TAVI is an independent predictor of mortality following TAVI. Further research regarding the use of LVEDP as a tool for after-procedural medical management is warranted.

Prevalence of Iron Deficiency and Iron Deficiency Anemia in Strenuously Training Male Army Recruits.

OBJECTIVES: The objectives of our study were to determine the effect of strenuous physical training on the prevalence of iron deficiency anemia (IDA), iron deficiency (ID) with normal hemoglobin (Hb), and anemia without ID. METHODS: Our study was a prospective observational study. We followed 115 healthy male recruits in the Israel Defense Forces elite units during 15 months of training. Blood samples were collected at recruitment and at 6-, 9- and 15-month follow-ups. RESULTS: Upon recruitment, anemia (Hb < 14 g/dL), ID, and ID anemia (IDA) were diagnosed in 28, 31, and 9% of individuals, respectively. Sixty-three subjects (54%) were followed for 6 months; 9 of them (14%) developed new-onset IDA. Among them, the prevalence of anemia rose from 19 to 52%, and ID from 33 to 35%. At the 15-month follow-up, 29% had developed new-onset IDA and 65% showed evidence of ID. CONCLUSION: We report a high prevalence of anemia, ID, and IDA among young healthy males participating in prolonged strenuous training programs. These findings can be partly explained by the physiological changes associated with strenuous physical activity. Further investigations aiming to develop specific diagnostic guidelines for this unique population are warranted.

Janus Kinase V617F mutation in cigarette smokers.

The JAK2 V617F mutation is responsible for the constitutive activation of the erythropoietin receptor signaling pathway in most cases of polycythemia vera (PV). The mutation has also been described in healthy people. As smoking may result in secondary polycythemia, the goal of this trial was to examine the effect of smoking on the prevalence of the JAK2 mutation and its correlation to erythrocytosis. The study was case-control. Hospitalized smokers (n = 81) and nonsmokers (n = 61) were recruited. Serum was drawn for complete blood count, erythropoietin, ferritin and venous blood gases. JAK2 mutation was analyzed by highly sensitive allele-specific Quantitative Real Time PCR. The JAK2 mutation was found in 29/81 (35.8%) of smokers in comparison to only 9/61 (14.8%) of the control group (P = 0.007). The frequency of the mutation among smokers who were positive for the JAK2 mutation had a mean of 6.78 × 10(-4) ± 1.08 × 10(-3) vs. 1.51 × 10(-4) ± 2.04 × 10(-4) among nonsmokers (P = 0.027). Both frequencies are much lower than those found in PV. There was a medium correlation between older age and mutation frequency in nonsmokers (r= 0.67, P = 0.043). Hematocrit was higher in smokers (47.8 ± 6 vs. 41.7 ± 4.7, P < 0.0001), but no correlation was found to JAK2 mutation. In a cohort of hospitalized smokers and nonsmokers, JAK2 mutation was more prevalent and found in higher frequencies among smokers than nonsmokers. We suggest that accelerated erythropoiesis renders the cells susceptible to JAK2 mutation.