Bryant, Sandra C.

Abstract Introduction: Peripheral blood hematopoietic progenitor cell collection is a more popular source of stem cells for transplantation than bone marrow harvest. A number of automated cell separators exist which can be used to perform mononuclear cell collections. These separators collect varying amounts of other cells during the collection process, including them in the mononuclear cell product. Because of this, collection of mononuclear cells can result in significant reductions in platelet count and loss of red blood cells during the procedure. In order to minimize platelet transfusion support, we developed an algorithm to optimize mononuclear cell collections while minimizing platelet losses using the Gambro COBE Spectra and the Baxter Amicus Methods: Previously, patients were assigned randomly to any available apheresis machine. Starting August 2nd 2002, patients with a WBC count higher than 35×10 (9)/L were preferably assigned to Amicus for 5 hour collection with processing 1000 ml/cycle or as second choice Spectra for 5 hours run with maximum draw rate 65 ml/Min., for both instruments. If the WBC was lower than 35×10 (9)/L, the preferred machine would be Amicus for 5 hours run at 1400 ml/cycle with maximum draw rate 90ml/Min. or Spectra for 5 hours run with maximum draw 100 ml/Min. We reviewed the difference of pre and post procedure platelet counts of non Hodgkin’s Lymphoma patients undergoing stem cells collection for 6 months before and after the implementation of the above protocol from February 2002 till February 2003. All CBC were performed on the same Coulter analyzer. Results: 14 patients (2 on Amicus and 12 on Spectra) underwent stem cells collection before August 2nd, 2002. 13 patients (8 on Amicus and 5 on Spectra) were collected after this date. The Fisher’s exact test was used for this study. The median and mean differences in the first group were 141.5 ×10(9)/L and 135 ×10 (9)/L respectively (95% CI, p 0.0183). The second group had a median and mean of 45 ×10 (9)/L and 51 × 10(9)/L (95% I, p 0.0183). The minimum and maximum differences were 36 × 10(9)/L and 200 × 10(9)/L respectively in the first group and −19 ×10(9)/L and 121×10(9)/L for the second group. There was no difference in the numbers of the collections days in both groups in regard to the type of automated cell collector. Discussion: The implemented algorithm showed a net advantage. Even though none of the patients required blood transfusions, there was lesser drop of platelets counts with the new settings.

AbstractBackground: The detection of monoclonal free light chains (FLCs) is an important diagnostic aid for a variety of monoclonal gammopathies and is especially important in light-chain diseases, such as light-chain myeloma, primary systemic amyloidosis, and light-chain-deposition disease. These diseases are more prevalent in the elderly, and assays to detect and quantify abnormal amounts of FLCs require reference intervals that include elderly donors.Methods: We used an automated immunoassay for FLCs and sera from a population 21–90 years of age. We used the calculated reference and diagnostic intervals to compare FLC results with those obtained by immunofixation (IFE) to detect low concentrations of monoclonal κ and λ FLCs in the sera of patients with monoclonal gammopathies.Results: Serum κ and λ FLCs increased with population age, with an apparent change for those >80 years. This trend was lost when the FLC concentration was normalized to cystatin C concentration. The ratio of κ FLC to λ FLC (FLC K/L) did not exhibit an age-dependent trend. The diagnostic interval for FLC K/L was 0.26–1.65. The 95% reference interval for κ FLC was 3.3–19.4 mg/L, and that for λ FLC was 5.7–26.3 mg/L. Detection and quantification of monoclonal FLCs by nephelometry were more sensitive than IFE in serum samples from patients with primary systemic amyloidosis and light-chain-deposition disease.Conclusions: Reference and diagnostic intervals for serum FLCs have been developed for use with a new, automated immunoassay that makes the detection and quantification of monoclonal FLCs easier and more sensitive than with current methods. The serum FLC assay complements IFE and allows quantification of FLCs in light-chain-disease patients who have no detectable serum or urine M-spike.

Abstract Background Platelet dense granule (DG) deficiencies, including Hermansky-Pudlak syndrome, are relatively common and frequently under-diagnosed hereditary platelet hypofunctional disorders. Among various laboratory tests, platelet whole mount (WM) transmission electron microscopy (TEM) is considered the gold standard method for diagnosing DG deficiencies. Nevertheless, platelet DG TEM testing is still largely a research tool and has not been thoroughly validated and standardized as a clinical test. Furthermore, reference ranges (RR) of DG count/platelet (DGC) have not been adequately established. Aim Our goals were to validate and standardize platelet WM TEM testing and establish reference ranges for platelet DGC. Methods Based on previously established methods (Blood, 33:598-606), we first optimized and standardized various pre-analytical, analytical and post-analytical procedures including sample matrix, sample stability, platelet-rich plasma (PRP) preparation, platelet mounting procedure and DG counting criteria. Then whole blood samples in ACD-B tubes were collected from a total of 128 healthy donors (64 males and 64 females). Platelet DGC, percentage of platelets without any DG (empty platelets), platelet count (PC), mean platelet volume (MPV) and immature platelet fraction (IPF) were measured. In addition, platelet aggregometry analyses were performed on citrated PRP samples from the same donors. Standard statistical analyses were employed in this study. Results DGC and platelet ultra-structure were stable when whole blood samples were stored at room temperature (RT) for up to 4 days. Reproducible DGC and adequate preservation of platelet ultrastructure depended on an optimized mounting method. The DG counting criteria were developed based on previous publications and guidance from Dr. James G. White. Using the same WM TEM images and DG counting criteria, agreements among different technologists (n=5) improved from 60% to 95%. Finally, DGC reference range study using 128 healthy donor samples (age range 18, 72 years) and scoring 100-200 platelets from each donor showed that the DGC distribution of each donor sample was left-skewed with a median of 15% of empty platelets (range: 3, 40). The median DGC was 2.6 with a range of 1.0—5.1. Reference ranges established at the lower 95th percentile for DGC empty platelets is ≤ 31% (95% CI 28, 34) and for the mid-95th percentiles of DGCs between 1.5 and 4.0. DGCs were weakly associated with MPV and IPF (ρ between 0.22 and 0.28); and inversely associated with the percentage of empty platelets (ρ between -0.26 and -0.25). DGC showed no significant association with PC, platelet maximum aggregation or primary slope of aggregation, nor age or gender. Conclusion We validated platelet WM TEM procedures and for the first time established an adult reference range for platelet DGC. The results of association analyses implied that immature platelets may have slightly more DGs. Disclosures: No relevant conflicts of interest to declare.

Abstract Introduction: The prevalence of venous thrombosis and pulmonary embolism (VTE) increases with age. Definitive VTE diagnosis or exclusion relies on imaging modalities, which are found to be negative in a high proportion of tested patients. Algorithms based on pretest clinical probability (low and intermediate) in conjunction with negative d-dimer test results have reliably excluded VTE sparing the need for additional imaging studies. Currently, the cutoff for a negative d-dimer is based on reference ranges regardless of age of the donor population. Since baseline d-dimer increases with aging, an age-adjusted d-dimer (AADD) cutoff for patients older than 50 years (age*10 ng/mL FEU) has been shown to improve specificity of diagnosis while still maintaining a high sensitivity (>97%) of detecting VTE/PE (Righini, et al. JAMA, 2014). Due to FDA restrictions, clinical laboratories cannot implement and report such AADD cutoffs. Major hurdles include: AADD cutoffs are assay-dependent, and there is a lack of feasible strategy for laboratories to verify the AADD cutoffs. We hypothesize that an adequate study of age-distribution of baseline d-dimer levels of healthy donors can assist the verification of AADD cutoffs and ultimately ensure patient safety in the VTE patient population. Objective: Establish an age dependent reference range for patients 50 years or older with the HemosIL HS 500 D-dimer reagent on the ACL TOP 700 (Instrumentation Laboratory, Bedford MA, USA); and compare this range with the manufacturer provided and literature recommended AADD cutoffs. Methods: D-dimer assay was performed on plasma samples from normal adult donors per the manufacturers' instructions. D-Dimer age, gender distribution and association were analyzed using non-parametric Wilcoxon rank sum, Kolmogorov-Smirnov tests, and quantile regression methods to estimate the 95th percentile to establish a reference range. Results: We studied 241 healthy donors, ranging from 21-91 years of age. Statistically significant differences between males and females (100 [42%] male) were detected (p-value <0.001; p-value =0.0009). Using CLSI guidelines, these statistical differences (median d-dimer for men = 200, while median d-dimer for women = 300) are not considered clinically significant, since only 6% of women would be outside an overall reference range (CLSI guideline states to partition if over 8% for either group would be outside the overall reference range). Using the quantile regression method, a significant association between d-dimer and age was found at the median (P<0.0001). We then established a reference range (95th percentile) for donors younger than age 50 at 635 ng/mL FEU for both men and women and AADD reference range for patients 50 and older (635 + (age - 50)*10 ng/mL) (Figure 1). This reference range was verified with our sample set, with only 6.2% of donors higher than the established reference limit. If we used the non-AADD cutoff provided by the manufacturer for donors younger than 50 (500 ng/mL FEU) and the literature recommended AADD cutoffs for older donors (age*10 ng/mL FEU), 13.3% of our normal donors were above the limits, resulting in not validating this literature reference range per CLSI guidelines in EP28-A3c. These data imply that if both manufacturer and literature recommended AADD cutoffs were adopted, HemosIL HS 500 D-dimer assay should have sufficient sensitivity and negative predictive value, although with slightly lower specificity than those reported by Righini, et al. for detecting VTE/PE. Conclusion: Our study verifies the association between d-dimer level and age and for the first time, to our knowledge, determined AADD normal range for the HemosIL HS 500 D-dimer assay. The manufacturer and literature recommended AADD cutoffs should provide sufficient sensitivity and negative predictive value for VTE/PE exclusion. Figure 1 Age distribution of D-Dimer values (n=241). Figure 1. Age distribution of D-Dimer values (n=241). Disclosures No relevant conflicts of interest to declare.

Abstract Autologous stem cells transplant in tandem is considered the standard therapy for patients with Multiple Myeloma (MM) and Primary Amyloidosis. The collection as well as the infusion of stem cells, which are preserved in dimethyl sulfoxide (DMSO), may cause serious side effects including renal failure. We reviewed the charts of MM patients undergoing stem cell transplant from 2001 through the end of 2005. Patients were grouped into one of 3 categories: Amylodosis, MM with Immunoglobulin G (IgG) and MM with non IgG. Creatinine and creatinine clearance values were collected 14 days prior to, the day of, 3 days post, and 28 days post infusion. The volume of the transplant as well as the number of CD 34+ stem cells reflect the dose of DMSO infused since all the cryopreservation of cells were done with 105 DMSO solution. We also collected data about the administration of nephrotoxic agents such as Aminoglycoside antibiotics, Vancomycin and Amphotercin B because these patients are at increased risk of developing infections. We also reviewed the dose of consolidation chemotherapy (Melphalen) as a potential nephrotoxic agent. Chi-square analysis was used. 645 patients were included [380 (58.82%) males and 265 females (41.18%)]. 384 received Vancomycin, 7 received Gentamycin and 8 received Amphotericin B with total of 146 missing data. 191 (29.57%) had Amyloidosis, 285 (44.12%) IgG MM and 169 (26.32%) non IgG MM. Only 6 transplants were allogeneic. The dose of Melphalen ranged between 0–200 mg/m2 over 2 days at the discretion of the physician. The mean weight was 82.25 Kg and median weight was 81.8 Kg. The mean age 57.12 years and median age was 58 years. 608 patients (94.12%) had one transplant, 35 (5.42%) had 2 transplants and 3 (0.46%) had 3 transplants. The mean volume was 289.20 ml and median volume was 245 ml. The mean number of CD34+ cells was 5.39 × 10(6)/kg with a median of 4.74 × 10(6). The mean and median Creatinine levels were 1.26 mg/dl and 1 mg/dl respectively at 2 weeks prior to transplant, 1.23mg/dl and 1mg/dl on the day of transplant, 1.18 mg/dl and 1mg/dl at 3 days after transplant and finally 1.16mg/dl and 0.9mg/dl at 4 weeks interval. 67 males as well 50 females had renal failure prior to transplant but there was no statistical difference due to gender (p 0.001). Creatinine clearance levels were 83.96 ml/min at 2 weeks prior, 83.84 ml/min at day zero, 88.57 ml/min and 91.89 ml/min respectively. The median were 83.37 ml/min, 82.77 ml/min, 86.43 ml/min and 91.29 ml/min respectively. Even though 35 creatinine values were missing within the first 3 days period, there was no acute renal failure (ARF) (0.5 mg/dl increase) noted with a 95% C.I. 95% in 494 patients with normal creatinine. The creatinine level improved in 93 patients with an abnormal level and only 24 were left with abnormal levels. This might represent a dilutional effect due to fluid administration during the transplant. Concerning the incidence of chronic renal failure (CRF) at 4 weeks interval, considering that only 47 laboratory values were missing the results was as follows: 4 patients had > 0.5 mg/dl creatinine increase from the 485 normal patients with C.I. 95%. CRF was still observed in 38 patients of the 72 patients with baseline renal failure. Even though 9 had very poor creatinine clearance <10ml/min (p 0.01) only 5 were left with severe creatinine clearance after transplant (p 0.05) We found that DMSO does not induce ARF or an exacerbation of CRF in transplants patients for Amyloidosis and Multiple Myeloma.

Abstract Background: Little data exists on the incidence rate of transfusion reactions and red cell antibody formation following allogeneic (allo) hematopoietic progenitor cell transplant (HPCT) recipients. Study Design and Methods: Consecutive related and unrelated Allogeneic HPCTs from 2006 to 2013 were retrospectively reviewed regardless of graft source. Allo HPCT recipients were analyzed as a whole as well as divided into ABO compatibility groups of identical, minor mismatch, and major/bidirectional mismatch. Transfusions, transfusion reactions and antibodies were analyzed for the first year post-transplant while survival was recorded throughout the available follow-up period. Results: During the study period, 573 patients ranging in age from 0.6 to 72 years underwent first allo HPCT for various malignant and non-malignant etiologies: 278 acute leukemias, 89 lymphomas, 40 multiple myelomas, 134 other hematologic malignancies, 32 non-neoplastic etiologies. Of these, 52% underwent myeloablative conditioning and 48% reduced intensity conditioning. Transfusion reactions were reported in 93 of the 573 allo HPCT recipients. The incidence rate of transfusion reactions per 10,000 transfusion episodes was 45.54 in the ABO identical, 61.28 in the minor mismatch, and 29.95 in the major mismatch groups (p=0.04). The most common reaction type reported in all groups was allergic followed by febrile non-hemolytic, transfusion associated circulatory overload, and delayed hemolytic or serologic reactions. No acute hemolytic, transfusion related acute lung injury (TRALI), post transfusion purpura, transfusion associated graft-versus-host disease, or transfusion associated sepsis reactions were reported. A total of 43 unique patients(7.5%) developed new antibodies post-transplant: 16 allo HPCT recipients developed clinically significant antibodies, 17 developed clinically insignificant antibodies, and 17 developed auto antibodies post-transplant. Including those patients with pre-transplant antibodies the overall prevalence of red blood cell antibodies was 14.5%. See Table 1 for incidence rate for forming new rbc antibodies post-transplant. Table 1. New RBC Antibody Formation Incidence Rate Post-Transplant ABO Compatibility Group Clinically Significant Antibody Incidence /10,000 RBC Transfusions Clinically Insignificant Antibody Incidence/ 10,000 RBC Transfusions, Auto Antibody Incidence/10,000 RBC Transfusions Total Antibody Incidence/10,000 RBC Transfusions Identical 39.33 16.85 39.33 95.51 Minor Mismatch 35.87 57.39 43.04 136.30 Major Mismatch 8.34 16.67 8.34 33.35 A statistically significant difference (p=0.001) was seen in total antibody incidence when comparing the ABO compatibility groups. The most common, clinically significant allo antibodies formed were Anti-E, Anti-Jka, Anti-A1, Anti-K, Anti-D, and Anti-C. Survival of allo HPCT recipients as a whole was not statistically different for those who formed new rbc antibodies post-transplant following adjustment for ABO compatibility, age at transplant, diagnosis, graft source, and pre-transplant rbc infusions (p=0.068). Allo HPCT recipients that formed new rbc antibodies were not shown to have prolonged engraftment. Engraftment, neutrophils (ANC) and platelets (PLT), were not statistically different (p=0.34 ANC; p=0.20 PLT) when comparing all allo HPCT recipients to those who formed a new rbc antibody. Conclusion: Transfusion reaction and rbc antibody incidence rates were higher in the ABO minor mismatch when compared to the ABO identical and ABO major mismatch groups. The reaction etiology (predominantly antibody mediated) and the formation of new antibodies indicates a surprisingly active humoral immune system. The overall prevalence of antibody formation is likely affected by high exposure to transfusions. Development of a new rbc antibody did not affect engraftment or survival outcomes. Disclosures No relevant conflicts of interest to declare.

The 2017 World Health Organization update introduced a new category of nodal peripheral T-cell lymphoma with T-follicular helper phenotype (PTCL-TFH) defined by expression of at least 2 or 3 TFH markers. Our study assesses the utility of an immunohistochemical panel of 5 TFH markers (CD10, BCL6, PD-1, CXCL13, and ICOS) for identification of TFH phenotype in angioimmunoblastic T-cell lymphoma (AITL) and PTCL not otherwise specified (NOS). Immunohistochemical for the 5 markers was performed on 22 cases of AITL and 29 cases of PTCL-NOS. Cases were reviewed for morphologic features characteristic of AITL. All AITL cases showed expression of ≥2 TFH markers. This panel resulted in reclassification of 41% PTCL-NOS cases to PTCL-TFH. Positive percent agreement for the TFH phenotype is 97% for PD1, 94% for ICOS, 44% for CD10 and CXCL13, and 29% for BCL6. Negative percent agreement for TFH phenotype is 100% for CD10, BCL6, and CXCL13, 82% for ICOS and 71% for PD1. AITL cases were more likely than PTCL-TFH cases to contain expanded CD21-positive follicular dendritic cell meshworks, clear cell cytology and polymorphous inflammatory background; however, there was a significant (P<0.005) Kruskal-Wallis trend in all morphologic variables between the 3 groups suggesting a continuum from PTCL-NOS to PTCL-TFH to AITL. The median number of morphologic features of AITL also correlated significantly with number of TFH markers positive (Spearman coefficient ρ=0.759). In summary, the stain panel chosen will have an impact on cases classified as PTCL-TFH. This entity may exist along a spectrum between PTCL-NOS and AITL.