Defining the Functional Sensitivity for The Siemens Atellica Calcitonin Assay: Insight from A Single-center Study.

BACKGROUND: Detectable, and especially rising post-thyroidectomy serum calcitonin and Carcinoembryonic Antigen (CEA) levels, as per American Thyroid Association (ATA) guidelines, indicate potential disease presence, requiring frequent calcitonin measurement or imaging for early detection of persistent or recurrent Medullary Thyroid Carcinoma (MTC). Thus, defining the clinical cutoff value of detection of calcitonin assays relative to imaging and clinical status is crucial for patient care. This study aimed to evaluate postoperative calcitonin levels using the new Siemens Atellica assay system to determine the most appropriate levels for clinical decision-making. METHODS: A retrospective analysis was conducted using Siemens Atellica for calcitonin testing on 56 samples from 40 patients between 09/27/2022 and 08/11/2023. Only calcitonin results performed at least 3 months post-total thyroidectomy were included. Imaging studies, within 6 months of the calcitonin report, were assessed. CEA results were also reviewed. RESULTS: Precision analysis at 2.94 and 5.24 pg/mL revealed coefficients of variation (CVs) at 16.49% and 8.87%, respectively. For the evidence of post-total thyroidectomy persistent or recurrent MTC confirmed by imaging, using a 1.89 pg/mL cutoff for calcitonin yielded 43% sensitivity and 67% specificity. Using a 5.00 pg/mL cutoff resulted in 0% sensitivity and 100% specificity. CONCLUSIONS: Our findings indicate the potential suitability of a 5 pg/mL calcitonin cutoff on the Siemens Atellica platform for evaluating tumor persistence or recurrence in post-thyroidectomy patients in our institution. However, individual laboratories should establish their own clinical cutoff value when evaluating calcitonin levels for monitoring tumor recurrence post-thyroidectomy.

Insights into insulin analog cross-reactivity: a comparative study of Siemens Atellica and LC-MS/MS.

BACKGROUND: To address the challenges posed by inconsistent detection of analog insulin in commercially available insulin immunoassays, resulting in potential discrepancies in clinical findings and misdiagnosis during the investigation of factitious hypoglycemia., we aimed to evaluate the ability of the Siemens Atellica automated immunoassay to detect insulin analogs compared with LC-MS/MS. METHODS: Five insulin analogs were analyzed at 10 ng/mL spiked into serum samples, with recombinant human insulin as positive controls. Insulin and C-peptide assays were performed using Siemens Atellica and LC-MS/MS. Recovery rates were calculated. RESULTS: Siemens Atellica immunoassay demonstrated robust cross-reactivity (92-121%) of insulin analogs. In contrast, glargine was detected by LC-MS/MS but other analogs were not observed (<10% recovery). CONCLUSION: Our results indicate that the insulin assay conducted on the Siemens Atellica platform could be used to diagnose factitious hypoglycemia by detecting the specific insulin analogs involved. The findings from our studies indicate the suitability of this method for clinical laboratory use in cases where factitious hypoglycemia is under consideration as a potential diagnosis. Clinicians should take these results into account when interpreting insulin measurements, particularly in instances where insulin analog overdose is suspected.

Evaluation of Age and Sex Differences in Contemporary versus High-Sensitivity Troponin I Measurement in Hospitalized Patients.

Background: With the transition from the contemporary (cTnI) to high-sensitivity troponin assay (hs-cTnI), concerns have arisen regarding the diagnostic differences between these two assays due to analytical distinctions. This study aims to evaluate the age and sex differences between these two assays, as well as the differences resulting from using two different 99th percentile values of the high-sensitivity troponin assay. Method: A retrospective observational study was conducted at an academic medical center, encompassing a total of 449 lithium heparin plasma samples included in the dataset. Both contemporary and high-sensitivity troponin were simultaneously measured using Siemens ADVIA Centaur analyzers. Two sets of sex-specific 99th percentile URLs from the Siemens study (cutoff-1) and Universal Sample Bank data (cutoff-2) were used for the data analysis. Results: The use of cutoff-1 or cutoff-2 had a negligible impact on troponin classification. Troponin elevation significantly increased in individuals > 50 years old for males and >40 years old for females, with both troponin assays. A receiver operating characteristic analysis did not find significant differences between the two assays. The Kaplan-Meier curves showed no differences in survival in cTnI according to the non-sex-specific 99th URL or hs-cTnI (cutoff-2) but showed a slight difference in survival in hs-cTnI (cutoff-1). Conclusions: Overall, there were no significant differences in age and sex in the diagnostic performance between the contemporary and high-sensitivity troponin assays. Selection criteria for the establishment of the 99th percentile URL should be standardized to avoid the misinterpretation of the troponin results.

Relationship between TSH and free thyroxine in outpatient cancer patient population.

BACKGROUND: The inverse log-linear relationship between Thyroid-stimulating hormone (TSH) and free thyroxine (FT4) is well established and reliably used for evaluation of hypothalamus-pituitary-thyroid (HPT) axis function. However, there are limited data regarding oncologic states in the TSH-FT4 relationship. The purpose of this study was to evaluate thyroid pituitary hypothalamic feedback regulation by the inverse log TSH and FT4 relationship in the cancer patient population at the Ohio State University Comprehensive Cancer Center (OSUCCC-James). METHODS: This retrospective study analyzed the correlation between TSH and FT4 results from 18846 outpatient subjects collected in August 2019-November 2021 at the Department of Family Medicine (OSU Wexner Medical Center), Department of Oncology (OSUCCC-James). Patients with diagnoses related to cancers were included in the oncology group. Patients with diagnoses not related to cancers were included in the non-oncology group. Patients of the Department of Endocrinology, Department of Cardiology, Department of Obstetrics & Gynecology and Department of Hematology were excluded from this study. Time of collection for TSH and FT4 was from 7am to 7 pm. Data were analyzed by morning (7am-12pm) and afternoon (12pm-7pm). Spearman correlation and non-linear fit were used for data analysis. Sex differences were analyzed as well in each group. RESULTS: Overall, an inverse correlation was observed between TSH and FT4 in both groups (non-oncology and oncology) regardless of sample collection time and sex differences. Further analysis by linear model in log TSH and FT4 showed a significant inverse fit in males compared with females in the group of oncology, both in the afternoon (p < 0.05). Data were further analyzed by ranges of FT4, as lower or higher (pathophysiology) or within (physiology) the reference interval of FT4. There was no statistical significance between the non-oncology and oncology groups, but relatively good correlation in non-oncology group in either physiologic or pathophysiologic FT4 levels and sample collection time. Interestingly, the best correlation between TSH and FT4 was found in the non-oncology group at pathophysiologic FT4 concentrations (abnormally high). In addition, at pathophysiologic FT4 concentrations (abnormally low), the oncology group demonstrated a significant TSH response in the morning than in the afternoon (p < 0.05). CONCLUSIONS: Though overall the TSH-FT4 curves showed an inverse relationship, there are variations of TSH-FT4 relationship for collection times when considering FT4 in physiologic or pathophysiologic states. The results advance understanding of TSH response, which is beneficial for the interpretation of thyroid disease. We recommend re-evaluation for interpretation of pituitary hypothalamic axis by TSH results when FT4 is abnormally high in oncology patients or low in non-oncology patients, due to poor predictability and the potential for misdiagnosis. A better understanding of the complex nature of the TSH-FT4 relationship may need further study with better defining subclinical states of cancer patients.

Discordance of insulin-like growth factor-1 results and interpretation on four different platforms.

OBJECTIVE: Inconsistent Insulin-like Growth Factor 1 (IGF-1) measurements among different platforms have been observed. In this study, we compared the IGF-1 assay on four different platforms. METHODS: A total of 110 serum specimens were analyzed in this comparison study. IGF-1 was measured on the three different chemiluminescent automated immunoassay of Siemens Immulite 2000 XPi, DiaSorin Liaison XL, IDS iSYS and LC-MS/MS method. Results were compared with Weighted Deming regression. Bias was evaluated using the Bland-Altman method. RESULTS: Weighted Deming regression analysis showed approximately 36 % negative variation on Immulite, compared to Liaison (Immulite = 0.64 * DiaSorin + 2.95, r2 = 0.95); 8 % negative variation on iSYS, compared to Liaison (iSYS = 0.92 * DiaSorin + 0.51, r2 = 0.97); 17 % negative variation on LC-MS/MS, compared to Liaison (LC-MS/MS = 0.83 * DiaSorin-11.23, r2 = 0.93); 34 % positive variation on LC-MS/MS compared to Immulite (LC-MS/MS = 1.34 * Immulite-21.97, r2 = 0.96); 81 % positive variation on IDS iSYS compared to Immulite (IDS iSYS = 1.81 * Immulite-117.65, r2 = 0.83). The Bland-Altman plot showed a significant negative variation of Immulite versus DiaSorin and positive variation of IDS iSYS versus Immulite. Overall agreement between different platforms was poor, which reflected systematic difference. The variation between platforms increased as IGF-1 values increased. CONCLUSIONS: There are wide variations between different platforms for IGF-1 measurement. The lack of standardization in IGF-1 measurement creates a challenge for clinicians to monitor IGF-1 and treat patients with pituitary disorders, when switching from one platform to another. The potential impact of the variations in IGF-1 measurement between different platforms should be taken into consideration when managing patients.