Abstract Introduction Measurement of hemoglobin A1c (HbA1C) is used for the diagnosis and management of patients with diabetes. Methods for measuring HbA1C are classified on the basis of charge differences (cation exchange chromatography) or structural differences (boronate affinity chromatography). Some cation exchange high-performance liquid chromatography (HPLC) analyzers may be prone to interferences from hemoglobin variants. Historically, our lab used two methods to report HbA1C results: cation exchange HPLC (VariantII) with reflex to boronate affinity HPLC (Ultra2) methods. A new analyzer (BioRad D-100) with improved interference detection and thresholds for interference was evaluated. The objectives of this study were (1) assess the comparability of HbA1c results between D-100, VariantII, and Ultra2; (2) evaluate the need for maintaining a reflex method; and (3) calculate cancellation rates before and after implementing D-100. Methods HbA1c was measured by cation exchange methods using VariantII Turbolink, D-100 (BioRad), and boronate affinity using Ultra2Affinity (Trinity Biotech) according to the manufacturer’s recommendations with the following analytical measuring ranges (AMRs), 4.0% to 17.6%, 4.0% to 18.0%, and 4.0% to 17.6%, respectively. D-100 was compared to VariantII (n = 26) and Ultra2 (n = 31) using residual patient samples from provider-ordered HbA1c having no chromatography flags and with the following chromatography flags on VariantII (n = 113): variant window (n = 41), HbA1c <4.0% (n = 24), HbA1a + HbA1b >5% (n = 19), HbF >5% (n = 9), P3 >10% (n = 6), HbA1c >17.6% (n = 4), unknown peak (n = 3), labile 5% to 15% (n = 3), labile >15% (n = 3), and HbS >60% (n = 1). The cancelation rates were calculated at baseline (January 1-31, 2018) and postimplementation of D-100 (September 20, 2018, to January 22, 2019). Results HbA1c results from D-100 were within ±0.3 or 5% with the following frequencies: Ultra2 in 96.2% (25/26) with VariantII in 96.8% (30/31) using samples with no chromatography flags. A total of 113 samples with abnormal VariantII flags were tested using D-100 with 82% (n = 92) not exceeding interference limits for result reporting. These D-100 results were within ±0.3 or 5% of Ultra2 results with the following frequencies: 38.5% (10/26) of samples below (n = 23) or above (n = 3) the AMR, 85.3% (29/34) of results with Hb variant flags, 68.0% (17/25) with unknown/minor peaks, and 71.4% (5/7) with HbF <15%. The clinical concordance was also assessed according to the following decision limits: normal <5.6%, prediabetic = 5.7% to 6.4%, and diabetic >6.5%. Results were concordant in 88% with variant peaks (12/13 w/HbA1c <5.6%, 8/11 w/HbA1c = 5.7%-6.4%, 10/10 w/HbA1c >6.5%), 84% with minor peaks (5/6 w/HbA1c <5.6%, 0/2 w/HbA1c = 5.7%-6.4%, 16/17 w/HbA1c >6.5%), and 86% with HbF (3/3 w/HbA1c <5.6%, 2/3 w/HbA1c = 5.7%-6.4%, 1/1 w/HbA1c >6.5%). Results above/below AMR had 100% concordance (>16.0% or <4.4%). The frequency of VariantII rule violation was 2.1% in January 2018, with 53 of 117 having results confirmed as <4.0% or >16.0% by Ultra2, 2 of 117 reported by Ultra2, and 62 being cancelled due to HbF >15% (n = 23) or variant Hb >60% (n = 39). The frequency of rule violation using only D-100 since implementation was 2.2%. Conclusion Implementation of D-100 has removed the need for boronate affinity reflex testing and maintained similar cancellation rates.
Effect of pH on the Quantification of Body Fluid Analytes for Clinical Diagnostic Testing
Abstract Background Body fluid samples (BFs) with low pH have demonstrated underrecovery of enzyme activity. The aims of this study were (1) measure the frequency of abnormal pH in BFs received for clinical chemistry testing, (2) calculate recovery of analytes in BFs undergoing pH titration, and (3) investigate the mechanism of pH interference. Methods Residual BFs submitted for physician-ordered testing to the Central Clinical Laboratory (Mayo Clinic) were utilized for this study. BFs were centrifuged 10 minutes (3,200 rpm) prior to pH measurement (pH meter, Accumet X15; Fisher Scientific) and analysis. A Roche Cobas c501 (Roche Diagnostics) analyzer was used to measure amylase, lactate dehydrogenase (LDH), blood urea nitrogen (BUN), creatinine, glucose, albumin, total protein, bilirubin (all Roche Diagnostics reagents), and lipase (Sekisui Diagnostics). pH was measured in 122 BFs received between 10/23/2018 and 10/26/2018 within 24 hours of receipt. pH titration was performed using pooled BFs of similar source/type. Each pool was titrated over a range of pH (≤2 to ≥10) in 1-unit increments by addition of a fixed volume of acid (6M HCL) or base (6M NaOH). Analytes were measured before and after acid/base addition. Average percent recovery was calculated (measured/expected × 100%) from n = 3 to 9 pH measurements. A low pH BF pool was spiked (<5% by volume) with a high-concentration BF to investigate mechanism of enzyme underrecovery. Additionally, low pH BF pool was neutralized by addition of base and % recovery calculated. For all titration/spiking experiments, a control sample having the same volume of diluent (7% bovine serum albumin or saline) was used to account for the effects of dilution. Results BFs received (n = 122) had mean (SD) pH = 8.0 (0.6) with 6.6% (n = 8) having pH <7.0 and 2.5% (n = 3) having pH <6.0. All recovery (%) and pH data are expressed as mean (range) values. Amylase recovery (initial pH = 8.4-8.9) was 1.3 (0.9-2.2)% at pH = 1.6 (1.0-2.2) (n = 6), 55.6 (37.4-67.0)% at pH = 4.4 (3.5-5.4) (n = 6), 81.4 (74.0-85.2)% at pH = 6.2 (6.1-6.5) (n = 3), 90.1 (84.4-95.4)% at pH = 7.5 (7.3-7.7) (n = 3), 98.8 (96.2-101.7)% at pH = 10.0 (9.8-10.2) (n = 3), and 14.5 (1.4-38.9)% at pH = 11.9 (11.5-12.1) (n = 3). LDH recovery (initial pH = 8.2-8.5) was 1.4 (0.1-3.7)% at pH = 1.7 (1.0-2.4) (n = 6), 18.3 (0.5-39.7)% at pH = 4.5 (3.5-5.4) (n = 6), 63.6 (54.9-68.4)% at pH = 6.2 (6.1-6.5) (n = 3), 85.9 (80.2-90.7)% at pH = 7.2 (6.8-7.4) (n = 3), 46.1 (36.4-61.0)% at pH = 10.0 (9.8-10.2) (n = 3), and 9.8 (0.0-28.9)% at pH = 11.3 (10.4-12.1) (n = 3). Lipase recovery (initial pH = 8.2-8.9) was 10.4 (<1-18)% at pH = 1.8 (1.0-2.4) (n = 6), 73.9 (62.6-85.5)% at pH = 4.2 (3.4-5.2) (n = 3), 92.4 (90.8-93.5)% at pH = 6.2 (6.0-6.5) (n = 3), 96.3 (95.6-96.8)% at pH = 7.3 (6.8-7.7) (n = 3), and 92.9 (89.3-96.8)% at pH = 9.9 (9.8-10.1) (n = 3) and 80.9 (0.0-78.6)% at pH = 11.3 (10.4-12.1) (n = 3). Creatinine, BUN, albumin, glucose, total protein, and bilirubin recovery were 97.9 (92.2-102.9)%, 100 (96.6-103.1)%, 99.9 (97.6-102.4)%, 100.2 (97.8-103)%, 100.2 (98.7-101.9)%, and 100.1 (92.-105.9)%, respectively, between pH 1.3-11.7 (n = 9). Recovery of amylase, LDH, or lipase was <1% after spiking enzymes into BF pool with pH <3. pH adjustment to normal (pH = 8.6-9.0) also resulted in recovery of <1%. Conclusion Enzyme activity in BFs was not affected (90%-110% recovery) when pH = 7.4-8.5 for LDH, pH = 7.3-10.2 for amylase, pH = 6.0-9.9 for lipase, and pH = 1.3-11.7 for all other analytes. An irreversible loss of enzyme activity occurs at low pH. Few clinical BFs have pH <7.0, but laboratories should have awareness.
Continuous Improvement of Blood Redraw Rates in the Emergency Department: A 5-Year Journey
Abstract Background Heterophile antibody (HAb) interferences in immunoassays can cause falsely elevated hCG concentrations leading to incorrect diagnosis and treatments options. When results are not consistent with the clinical findings, hCG HAb interference investigation may be requested by the physician. A retrospective evaluation of the frequency of HAb interference was performed among cases of physician-requested investigations and the effectiveness of commercially available blocking reagents to detect HAb interference in two immunoassay systems was evaluated. Methods One hundred and thirteen physician requests for hCG HAb investigation from 2008 to 2017 were reviewed. The primary method used to measure hCG was the Beckman Coulter Access Total βhCG (2008–2010) and the Roche Elecsys HCG+β (2014–2017). HAb investigation included measurement by two immunoassays before and after treatment of samples with heterophile blocking reagents and serial dilution studies. Results Five cases of HAb and HAb-like interference were identified. The interference frequency was 6.7% for the Beckman assay and 2.9% for the Roche assay. The presence of HAb was detected using heterophile blocking reagents and an alternative method in three cases. The other two cases were detected due to discrepant results with an alternative method and non-linear serial dilutions (HAb-like). Conclusions HAb interference was observed in the Beckman and the Roche assays. The heterophile blocking reagents failed to detect 40% of interference cases. Blocking reagents should not solely be used for these investigations. Multiple strategies including the use of serial dilutions and using an alternative platform are critical when troubleshooting interferences in hCG immunoassays.
Clinical Validation of Fecal Electrolytes for Chronic Diarrhea
Abstract Background Chronic diarrhea can be categorized as fatty, watery, or inflammatory. Watery diarrhea is further divided into secretory or osmotic types and can be differentiated by measuring fecal electrolytes and osmotic gap. However, with widespread use of endoscopy, it is unclear if these measurements are being used clinically. Furthermore, because stool is not a validated specimen type for Food and Drug Administration–approved electrolyte assays, utilization is a practical concern for laboratories before analytical validation. Here, we determined the clinical utility and validated the performance characteristics of stool electrolytes on the Beckman Coulter AU680. Methods Historical results and literature review were used to determine the clinically relevant ranges for stool electrolytes (Na+, Cl−, K+, phosphate, and Mg2+). Additionally, medical chart review was performed (n = 44 patients) on results to evaluate their clinical utility in chronic diarrhea work-up. Linearity, precision, and stability studies were performed on the AU680. Accuracy was evaluated by comparing results to the Roche Cobas 6000 c501. Results For all cases, stool electrolytes and osmotic gap proved valuable in chronic diarrhea work-up. The imprecision of the assays ranged from 0% to 5.9%. All assays were found to be linear within the instrument's analytical measurement range with appropriate slopes and intercepts. The bias between the AU680 and the Roche c501 ranged from −0.48 to 2.39 (mmol/L or mg/dL). Na+, Cl−, and K+ were stable refrigerated for 5 days and up to 1 freeze-thaw cycle. Phosphate and Mg2+ were stable refrigerated for 48 h, but unstable to freeze-thaw cycles. Conclusions Stool osmotic gap is valuable for evaluating chronic diarrhea and can be calculated using electrolyte concentrations measured on the AU680.
Pediatric Phlebotomy Services: Optimizing Sample Quality and Improving the Patient and Parent Experience
AbstractThyroid storm or severe thyrotoxicosis results from extreme thyroid hormone elevation. Therapy includes medical management to prevent hormone production, release, recycling, and peripheral conversion while stabilizing adrenergic tone. Thyroid dysfunction is the usual cause but it can be due to excessive thyroid hormone ingestion. Therapeutic plasma exchange (TPE) has been used to rapidly remove protein‐bound thyroid hormone. American Society for Apheresis guidelines make a weak recommendation to perform TPE in selected patients in the treatment of thyrotoxicosis based on low quality evidence. We present a case of excessive thyroid replacement hormone ingestion treated by TPE. The patient presented with the clinical picture of thyroid storm, including cardiovascular compromise and massively elevated total and free T3 (525 ng/dL, nl 80–200 ng/dL and 28 pg/mL, nl 2.0–3.5 11 pg/mL), which failed medical therapy. A single, one plasma volume TPE was performed. Both total and free T3 demonstrated substantial declines immediately after TPE with the patient's mental status returning to near‐normal. Thyroid hormone extraction efficiency and collection efficacy were calculated as 37.1% and 40.8%, respectively. Prior to discharge on day 6, the patient's compounding pharmacy indicated that a “bad batch” of bovine thyroid gland derived replacement hormone had been produced. TPE appears to be effective in removing protein bound thyroid hormone in extreme iatrogenic thyrotoxicosis.
Implementation of Clinical Decision Support Rules to Reduce Repeat Measurement of Serum Ionized Calcium, Serum Magnesium, and N-Terminal Pro-B-Type Natriuretic Peptide in Intensive Care Unit Inpatients
Abstract BACKGROUND We assessed the impact of clinical decision support (CDS) rules within the electronic health record for ionized calcium (iCa), serum magnesium (Mg), and N-terminal pro-B-type natriuretic peptide (NT-proBNP) in intensive care unit (ICU) inpatients at a large academic center. METHODS A repeat order for measurement of iCa or Mg placed within 24 (iCa) or 48 (Mg) h of a previously nonactionable result, or additional orders for NT-proBNP beyond 1 within a single hospitalization, triggered a CDS pop-up alert showing the prior result and offering the opportunity to cancel the order or to place the order after entering an indication for repeat testing. The number of tests performed for each of these analytes and incidence of adverse clinical outcomes potentially associated with hypocalcemia or hypomagnesemia were compared between the 90-day period before CDS implementation and two 90-day periods immediately following. RESULTS iCa test volumes decreased by 48%, Mg by 39%, and NT-proBNP by 28% in the 90-day period immediately following implementation and remained decreased by 54%, 49%, and 22%, respectively, during the following 90-day period (all P values <0.0002). Adverse clinical outcomes potentially associated with hypocalcemia or hypomagnesemia did not increase (all P-values >0.17). CONCLUSIONS Implementation of CDS dramatically decreased repeat testing of iCa, Mg, and NT-proBNP without adversely impacting clinical outcomes in the ICU. Expansion of the rules from the ICU units to include the entire hospitalized patient population and expansion to additional analytes is expected to lead to further reductions in testing.