Rosemark, Christopher L.

Abstract Background Hemoglobin A1c is used to assess glycemic control to both diagnose and monitor diabetes mellitus. Several different methodologies are available including high performance liquid chromatography (HPLC), capillary electrophoresis (CE), and immunoassay (IA). These methods are standardized and traceable to the Diabetes Control and Complications Trial (DCCT). The aim of this study was to evaluate the difference in HbA1c results between methods and percent of reportable results in variant samples. Methods The HPLC (Bio-Rad Laboratories, Inc; D-100), the CE(Sebia Inc; Capillarys 3), and IA(Roche Diagnostics Inc; Tina-quant Generation 3) were compared using two sets of residual patient samples left after physician ordered testing was complete: 1) samples with an absence of abnormal hemoglobin peaks (i.e. non-variant) detected by HPLC; 2) samples with abnormal hemoglobin peaks (i.e. variant) characterized by hemoglobin electrophoresis performed clinically or lacking an A1c peak by HPLC/CE. The samples were tested within manufacturers stability claims. 317 non-variant samples were compared between the HPLC and CE methods. The absolute difference was calculated for each method using this equation (HbA1c%avg – HbA1c%X) where HbA1c%avg is the average of the methods that produced reportable results and X is the result from each method evaluated. Differences less than or equal to +/-0.3% were considered acceptable. 28 of the 317 non-variant and 47 variant samples were tested by all 3 methodologies. The 47 variant samples grouped into 3 cohorts: common heterozygous variants (HbC, HbD, HbE, HbS and HbF, n=10), uncommon heterozygous variants (n=29) and homozygous variants lacking HbA (n=8). The absolute differences in variant sample results were calculated for samples that did not surpass manufacturer’s claims for producing an accurate result. The frequency of producing a numeric result in variant samples was calculated for each method. Results The HPLC/CE non-variant sample comparison (N=317) had results spanning the measuring range (3.8% - 14.0%) with average(range) of absolute difference=0.1(-0.4to0.6%) with 293/317(92.4%) samples within +/-0.3%. The HPLC/CE/IA non-variant sample comparison (N=28) had a result range=4.0%-9.4%, the average(range) of difference=0.1(-0.2to0.5%) with 25/28 (89.2%) of samples within +/-0.3%. Common heterozygous variant samples gave numeric results with no disqualifying flags in 9 of 10(HPLC), 8 of 10(CE), and 9 of 10(IA) samples tested. The average(range) difference from average=0.0(-0.3,0.5%) for HPLC, 0.0(-0.2,0.3%) for CE, and -0.1(-0.6,0.2%) for IA. Uncommon variant samples gave results in 4 of 29 (HPLC), 20 of 29 (CE), and 26 of 29 (IA) of samples tested. The average(range) difference from average=-0.1(-0.3,0.1%) for HPLC, 0.0(-1.0,1.1%) for CE, and 0.0(-1.1,1.0%) for IA. The homozygous variant (no HbA) samples gave results in 0 of 8 (HPLC), 0 of 8 (CE), and 4 of 8 (IA) of those tested. Conclusion All three methods meet their claims for accurately measuring hemoglobin A1c from non-variant and common hemoglobin variants. The advantage of HPLC and CE is the ability to identify hemoglobin variants that may impact HbA1c quantitation. The IA method provides the most numeric results. IA gave results even when HbA was absent. The lab should understand the capabilities and limitations of their HbA1c method on the population served.

Abstract Background Serum aspartate aminotransferase (AST) is a commonly ordered test useful for diagnosing and monitoring hepatocellular damage. The hemolysis (H) index interference threshold for the Roche Cobas AST reagent is H=20, which is the lowest of all tests on Roche chemistry platforms (Cobas c701, c502, and e801). Previous optimization studies supported the implementation of an AST concentration-specific tiered hemolysis interference threshold schema: AST<100 U/L (H=50), AST=100-200 U/L (H=100), AST=201-300 U/L (H=200) and AST>301 U/L (H=500). This schema significantly reduced redraws; however, a significant number of rejected samples were noted to have AST results within the reference interval (RI). The aim of this study was to establish an H-index threshold for samples with AST results within the RI. Methods Twelve pools of residual serum samples were created with AST concentrations ranging from 17-66 U/L. Each pool was split into 2 aliquots, receiving either 10% of a lab-produced hemolysate solution generating H-indices from 62-508 or 10% of a 0.9% saline control. Aliquots were mixed in equal portions to create a series of 5 samples with increasing hemolysis according to CLSI guideline EP-07 and analyzed in EP Evaluator. Median(interquartile range (IQR)) H-index thresholds were calculated for error limits beginning at +5 U/L and increasing incrementally (+1 U/L) to +10 U/L. Clinical cases with an H-index slightly above the hemolysis interference threshold (50≤H≤70) and results within the RIs (Male:8-48U/L; Female:8-43U/L) were reviewed by the Chemistry Resident/Fellow on-call (n=68) over a period of 8 months. Results were released with a comment if risk of clinical misinterpretation due to a falsely elevated result was low. Previous, non-hemolyzed AST results were compared within 45 days, if available, by paired-Wilcoxon test (Graphpad Prism). Results The median(range) of initial AST results in the serum pools was 20(17-66) U/L. The calculated H-index thresholds (median(IQR)) using error limits of +5, +6, +7, +8, +9, +10 U/L were 49(43-53), 56(52-63), 66(61-78), 78(72-81), 91(84-91) and 101 (96-107), respectively. All slightly hemolyzed AST results (50≤H≤70) within the RI were released with a comment upon chart review. Previously reported AST values (n=23) were compared to current (hemolyzed) concentrations and found to be statistically significantly increased relative to previous results from the same patient (median(range) difference: 3.7(-3.6-11)U/L, p=0.009). However, the median difference was <5U/L or 10%, the laboratory’s criteria used to define a clinically significant difference. Conclusions A median H-index limit of up to 100 can be applied to samples when AST is within the RI. The risk of misinterpretation for results with mild-moderate hemolysis was low in the cases reviewed. Sample rejection rates and reporting delays can be diminished by implementing this practice. Interpretation can be further enhanced by appending the following comment to hemolyzed samples: “Specimen was received with hemolysis slightly above the accepted threshold. This degree of hemolysis is associated with a false increase of approximately 5-10 U/L. Interpret in conjunction with other laboratory and clinical findings.”

Abstract Reticulocyte hemoglobin content (Ret-He, the hemoglobin within reticulocytes or immature red blood cells) and immature reticulocyte fraction (IRF, the immature fraction of the absolute-reticulocyte-count) are tests that provide insight into erythropoiesis and iron status earlier than conventional iron studies offering the added benefit of not being acute-phase-reactants. Studies have shown that Ret-He is a diagnostic marker for iron-deficiency-anemia (IDA), but fewer studies have investigated IRF. Our laboratory is currently planning to report these parameters when reticulocyte is ordered. Since these are new parameters, we wanted to investigate their overall correlation with complete blood count (CBC) and other iron studies to gain a better appreciation of their utility in our patient population. The aim of this study was to compare the overall correlation of Ret-He and IRF with seven tests used in the evaluation of IDA. To our knowledge these parameters have not all been directly correlated within a single study. CBC and reticulocytes were quantified using XN 9000 hematology analyzers (Sysmex Corporation), ferritin (DXI 800, Beckman Coulter Inc.), and % iron-saturation (measured using total iron-binding-capacity (TIBC)=transferrin*1.18 on Cobas 6000, Roche Diagnostics). Two de-identified cohorts of patients undergoing physician-ordered reticulocyte testing were used for this analysis. Dataset 1 (DS1): (N=2026 from Mayo Clinic Florida) had Ret-He and IRF compared to absolute-reticulocyte-count (Ret), ferritin and % iron saturation. Dataset 2 (DS2): (N=3990 from Mayo Clinic Rochester) had Ret-He and IRF compared to the red-cell-indices of the CBC including hemoglobin (Hgb), mean-corpuscular-volume (MCV), mean-corpuscular-hemoglobin (MCH), and mean-corpuscular-hemoglobin-concentration (MCHC). Correlation coefficients were calculated using Spearman rank-order (ρ) wherein values below +/-0.39 are weak, between +/-0.40-0.59 are considered moderate, and values above +/-0.60 are considered strong. For DS1, Ret-He demonstrated the following correlations: Ret (ρ=0.01), ferritin (ρ=0.33), % iron saturation (ρ=0.63). IRF demonstrated: Ret (ρ=0.46), ferritin (ρ=-0.05), % iron saturation (ρ=-0.22). For DS2, Ret-He demonstrated the following correlations: Hgb (ρ=0.17), MCV (ρ=0.64), MCH (ρ=0.74), MCHC (ρ=0.56). IRF demonstrated Hgb (ρ=-0.41), MCV (ρ=0.10), MCH (ρ=0.04), MCHC (ρ=-0.11). Ret-He and IRF demonstrated different correlative profiles suggesting they may have differing uses. Ret-He was strongly positively-correlated with % iron saturation, MCV, MCH and moderately positively-correlated with MCHC. These positive-correlations are consistent with relationships established in the literature. Interestingly, Ret-He was only weakly correlated with ferritin, possibly owing to ferritin being an acute-phase-reactant. IRF had a moderate positive correlation with Ret and moderate inverse correlation with Hgb. Both of these IRF relationships are consistent with other reports, but both relationships have not been shown in the same study before, preventing direct comparison until now. The literature suggests IRF may have more potential in monitoring treatment than in diagnosis. One limitation of these datasets is their lack of clinical correlation such as established iron-deficiency, anemia status, or treatment information.

AbstractThere is interest in novel synovial fluid biomarkers for the detection of periprosthetic joint infection (PJI). Here, we assessed the diagnostic accuracy of 23 simple or sophisticated synovial fluid biomarkers for periprosthetic hip or knee infection detection. One hundred seven subjects were studied, 57 of whom had aseptic failure (AF) and 50 PJI. The following synovial fluid biomarkers were tested using spectrophotometric assays, immunoassays, lateral flow tests, or test strips: leukocyte count, monocyte percentage, lymphocyte percentage, neutrophil percentage, C‐reactive protein (CRP), glucose, lactate, granulocyte‐macrophage colony‐stimulating factor, interferon‐γ, interleukin‐1β (IL‐1β), IL‐2, IL‐4, IL‐5, IL‐6, IL‐8, IL‐10, IL‐12p70, IL‐13, IL‐17A, IL‐23, tumor necrosis factor‐α, α‐defensin, and leukocyte esterase. The best‐performing synovial fluid biomarkers to differentiate PJI from AF—that is, those with highest area under the curve compared to all other biomarkers—were leukocyte count, percent neutrophils and percent monocytes, CRP, and α‐defensin (P < .0001).