Gaisbock's Syndrome: A Case Study.

A 73-year-old hypertensive was found to have new-onset polycythemia during his routine health check up. A workup revealed no evidence of polycythemia rubra vera or a secondary cause of his polycythemia (his erythropoietin level was normal, he had no splenomegaly, and a test for JAK2 v617F mutation was negative). Over the next year of follow up, his hematological profile returned to normal levels. We conclude that this patient had Gaisbock's syndrome, a relative polycythemia that occurs when there is clinically evident contraction of the intravascular fluid space (plasma volume) in smokers and people who received diuretics.

Effect of age, comorbidity and remission status on outcome of COVID-19 in patients with hematological malignancies.

BACKGROUND: There is scarcity of data on outcome of COVID-19 in patients with hematological malignancies. Primary objective of study was to analyse the 14-day and 28-day mortality. Secondary objectives were to correlate age, comorbidities and remission status with outcome. METHODS: Retrospective multicentre observational study conducted in 11 centres across India. Total 130 patients with hematological malignancies and COVID-19 were enrolled. RESULTS: Fever and cough were commonest presentation. Eleven percent patients were incidentally detected. Median age of our cohort was 49.5 years. Most of our patients had a lymphoid malignancy (n = 91). One-half patients (52%) had mild infection, while moderate and severe infections contributed to one-fourth each. Sixty seven patients (52%) needed oxygen For treatment of COVID-19 infection, half(n = 66) received antivirals. Median time to RT-PCR COVID-19 negativity was 17 days (7-49 days). Nearly three-fourth (n = 95) of our patients were on anticancer treatment at time of infection, of which nearly two-third (n = 59;64%) had a delay in chemotherapy. Overall, 20% (n = 26) patients succumbed. 14-day survival and 28-day survival for whole cohort was 85.4% and 80%, respectively. One patient succumbed outside the study period on day 39. Importantly, death rate at 1 month was 50% and 60% in relapse/refractory and severe disease cohorts, respectively. Elderly patients(age ≥ 60) (p = 0.009), and severe COVID-19 infection (p = 0.000) had a poor 14-day survival. The 28-day survival was significantly better for patients in remission (p = 0.04), non-severe infection (p = 0.00), and age < 60 years (p = 0.05). CONCLUSIONS: Elderly patients with hematological malignancy and severe covid-19 have worst outcomes specially when disease is not in remission.

Halving Time of BCR-ABL1 in Chronic Myeloid Leukemia: Is It Better Than Day-90 Value-A Multicenter Study From South India.

BACKGROUND: The 90-day BCR-ABL1 (breakpoint cluster region-Abelson 1) level has been one of the accepted milestones for predicting the molecular response in patients with chronic myeloid leukemia (CML). The rate of decline in BCR-ABL1 has been considered a better predictor of the response but has not been uniformly accepted. A paucity of evidence is available to predict the accuracy of the rate of decline in the Indian context. Therefore, we tested the accuracy of the rate of decline of BCR-ABL1 in predicting the molecular response compared with the single 90-day values in a retrospective cohort study of selected cancer centers in south India. METHODS AND MATERIALS: Patients with chronic-phase CML diagnosed from January 2013 to December 2018, the serial BCR-ABL1 levels were estimated at 0, 45, and 90 days, 6 months, and 1 year. Data on patient demographics, risk stratification assessed using the Sokal and EUTOS (European Treatment and Outcome Study) scores were extracted using a mobile-based data capture tool from the medical records of the enrolled patients. The halving time, determined by log reduction, was compared with the 90-day BCR-ABL1 values using the receiver operating characteristic curve for the major and complete molecular response at 6 months and 1 year as standards. Accuracy was determined from the area under the curve. The cutoff for the halving time was chosen to balance the sensitivity and specificity. RESULTS: The rate of decline had more predictive accuracy compared with the 90-day BCR-ABL1 values (area under the curve for rate of decline, 0.83; 90-day, 0.80). A halving time of < 20 days identified 95% of the patients who had achieved major molecular response at 12 months compared with 80% using the single 90-day BCR-ABL1 response. CONCLUSIONS: The halving time of BCR-ABL1 appears promising as a predictor of the outcomes for patients with CML.