Residual persistence of cytotoxicity lymphocytes and regulatory T cells in patients with severe coronavirus disease 2019 over a 1-year recovery process.

Aim: To clarify the immune cellular changes in critically ill patients recovering from coronavirus disease 2019 (COVID-19). Methods: The immune response of peripheral blood mononuclear cells from patients with severe COVID-19 in different stages of recovery (3, 6, and 12 months from hospitalization) was evaluated by single-cell mass cytometry. Immunological changes in patients were compared with those in age-matched healthy donors. Results: Three patients with severe COVID-19 were compared with four healthy donors. In the patients, there was an increase in the cell density of CD4- and CD8-positive T lymphocytes, and B cells, over the course of the recovery period. CD4- and CD8-positive T lymphocytes expressing T-bet and granzyme B (Gzm B) in patients were abundant during all recovery periods. The level of regulatory T cells remained high throughout the year. The levels of natural killer (NK) cells in patients were higher than in those in the healthy donors, and the frequency of CD16+ NK cells expressing Gzm B increased throughout the year. Conclusion: Patients recovering from severe COVID-19 showed persistence of cytotoxic lymphocytes, NK cells, and regulatory T cells throughout the posthospitalization year of recovery.

Immature platelet fraction (IPF) as a predictive value for thrombopoietic recovery after allogeneic stem cell transplantation.

We consecutively examined the utility of measurements of percentage of immature platelet fraction (IPF%) and absolute IPF number (A-IPF) in predicting thrombopoietic recovery in 15 adult patients who underwent allogeneic hematopoietic stem cell transplantation (allo-SCT). Four patients were excluded from the evaluation due to insufficient data. Platelet count and IPF were measured by Sysmex XN-1000 (XN), a newer generation analyzer. First, we confirmed that platelet count measured by XN was more accurate than by XE-2100 (XE). IPF measurement was effective to predict the recovery in 7 of the 11 patients examined. Moreover, IPF measurement, especially IPF% measurement, suggested accelerated platelet turnover in two patients who failed to achieve platelet recovery by day 60. In addition to IPF%, A-IPF showed a complementary role on the prediction of thrombopoietic recovery. The increase in IPF% was only transient, while A-IPF values showed lasting increase during platelet recovery. In two patients (cases 6 and 7) an increase in A-IPF, but not in IPF%, was observed during platelet recovery. Our data suggest that IPF% and A-IPF measured by XN are useful for the prediction of thrombopoietic recovery and the assessment of pathogenesis of thrombocytopenia in patients after allo-SCT.

Clinical significance of IPF% or RP% measurement in distinguishing primary immune thrombocytopenia from aplastic thrombocytopenic disorders.

The diagnosis of primary immune thrombocytopenia (ITP) is based on differential diagnosis. Although the measurement of percentages of reticulated platelets (RP%) by flow cytometry is useful as a supportive diagnostic test, this method is nonetheless a time-consuming, laboratory-based assay. To identify alternative assays that are useful in daily practice, we compared three methods in parallel, IPF% measured by XE-2100 [IPF% (XE), Sysmex Corp.], IPF% measured by new XN-1000 [IPF% (XN)], and RP%. We examined 47 patients with primary ITP, 28 patients with aplastic thrombocytopenia (18 aplastic anemia and 10 chemotherapy-induced thrombocytopenia) and 80 healthy controls. In a selected experiment, we examined 16 patients with paroxysmal nocturnal hemoglobinuria (PNH) to examine the effect of hemolysis. As compared with IPF% (XE), IPF% (XN) showed better within-run reproducibility. The sensitivity and specificity for the diagnosis of ITP were 83.0 and 75.0 % for IPF% (XE), 85.1 and 89.3 % for IPF% (XN), and 93.6 and 89.3 % for RP%, respectively. Examination of PNH patients revealed that hemolysis and/or red blood cell fragments interfered with IPF% (XE) values, but not with IFP % (XN) values. Our results suggest that IPF% measured by XN-1000 may be of comparable value with RP% as a supportive diagnostic test for ITP.