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13 citation(s) found for "Theobald, J".

False positive plasma p‐tau217 results associated with heterophilic antibody interference: A potential clinical pitfall
Theobald, J Paul, Kian, Susan Ashrafzadeh, Algeciras-Schimnich, Alicia , Ashrafzadeh Kian, Susan, Bornhorst, Joshua A. , Algeciras‐Schimnich, Alicia , Theobald, J. Paul, Figdore, Daniel J. , Ashrafzadeh‐Kian, Susan , Bornhorst, Joshua

Mayo Clinic

Alzheimer's & Dementia | December 29, 2025 | Volume: 21 | Issue: 12 | Pages: No page available

10.1002/alz.71045 | PMID 41457950 Get It

Abstract INTRODUCTION Plasma phosphorylated tau at threonine 217 (p‐tau217) has emerged as one of the most promising blood‐based biomarkers for Alzheimer's disease (AD). While rare, heterophilic antibodies (HAb) are a persistent potential confounding factor in immunoassays. METHODS Potential HAb interference in the Lumipulse G pTau217 assay in samples exhibiting concentrations > 10 pg/mL were investigated. Samples were subjected to HAb blocking reagent (HBT), and in some cases, polyethylene glycol (PEG) precipitation and serial dilutions. RESULTS In 14 of the 15 suspected HAb cases, HBT treatment greatly reduced measured p‐tau217 concentrations. and in one of three specimens selected for further investigation, reduced Aβ42 concentrations PEG precipitation in the three selected samples also reduced p‐tau217 concentrations, while serial dilution yielded mixed effects. Control specimens were unaffected by sample treatment or dilutions. DISCUSSION HAb may result in falsely elevated p‐tau217 and p‐tau217/Aβ42 ratio. HAb interference should be considered in cases of unusually high p‐tau217 concentrations prior to clinical interpretation. Highlights Potential heterophile antibody (HAb) interference in the Lumipulse p‐tau217 immunoassay was investigated. Investigation was performed using HAb blocking reagent, and in some cases also using PEG precipitation . Patients with p‐tau217 concentrations > 10 pg/mL exhibited positive HAb interference in 14 of 15 cases. HAb interference can lead to falsely positive p‐tau217/Aβ42 ratios.
24 Peanut Allergy Sensitization Patterns: Correlation of Peanut and Component sIgE Across Regions and Age Groups in the United States
Liu, Danting , Ness, Karl M. , Theobald, Jannick , Bornhorst, Joshua A. , Bornhorst, Joshua , Theobald, J P, Algeciras‐Schimnich, Alicia

Mayo Clinic

American Journal of Clinical Pathology | November 12, 2025 | Volume: 164 | Issue: Supplement_1 | Pages: No page available

10.1093/ajcp/aqaf121.451 Get It

Abstract Peanut allergy is a leading cause of food-induced allergy (prevalence of ∼1%). The diagnosis relies on evaluating clinical symptoms consistent with peanut exposure, supported by the detection of total peanut specific IgE (sIgE) and peanut component IgE antibodies (Ara h1, Ara h2, Ara h3, Ara h6, Ara h8, Ara h9 and Bet v2) through serum or skin testing. However, sensitization patterns across different ages and regions in the United States remain largely unknown. In this study, we investigated regional and demographic patterns of peanut component sensitization in a large U.S. population tested for suspected peanut allergy. Retrospective data were collected from 13,702 individuals tested at Mayo Clinic Laboratories. sIgEs were measured using the ImmunoCAP system (Thermo Fisher Scientific). Samples with detectable total peanut sIgE (≥0.1 kU/L) were reflexed to testing for seven peanut component IgEs. Statistical analyses including linear regression and correlation matrix analysis were conducted using R Studio. Regional differences were assessed using care provider zip code information. Among the study population, 92.0% (12,604 of 13,702) had detectable total peanut sIgE, with the Western U.S. region exhibiting the highest detectable rate (95.6%), and the Southeast the lowest (85.6%) (p < 0.001). On average, 3.38 different component IgEs were detectable per person with a detectable total peanut sIgE; 7.1% (892) had no detectable component IgEs, possibly due to antibodies against other peanut components. Correlation analysis revealed strong associations between Ara h2 and Ara h6 (r = 0.94), with moderate correlations observed between Ara h2, Ara h3, and Ara h6 to Ara h1 (r ranging from 0.72 to 0.77). Age-stratified analysis indicated higher total peanut sIgE detectable rates in children and adolescents (95.2%, ≤18 years) compared to adults (76.5%, >18 years). Interestingly, adults were more likely than children to have negative results for all component IgEs. Sensitization rates to different peanut components varied, with Ara h2 (77.5%) and Ara h6 (73.2%) being the most frequently detected, followed by Ara h1 (56%), and Ara h3 (47.3%). Lower detectable rates were observed for Ara h8, Ara h9, and Bet v2 (34.8%, 26.1% and 22.7%, respectively). Regional analysis showed consistently high detectable rates for Ara h2 and Ara h6 (>70%) across most areas (p < 0.001) with slightly lower rates in the Southwest (<63%). Bet v2, despite its overall low prevalence (<24%), had a relatively higher detectable rate in the Southwest (29%). This study provides valuable insights into potential demographic and geographic factors influencing peanut allergy sensitization. Our study demonstrates that peanut sensitization patterns vary by age and geographic location. Children and adolescents exhibit higher detectable rates for total peanut sIgE and component IgEs compared to adults, with Ara h2 and Ara h6 as the most frequently detected and highly correlated components.
B-265 Significance of CSF Aß42/40 and p-Tau181/Aß42 Ratio Discrepancy in the Diagnosis of Alzheimer’s Disease
Liu, Danting , Theobald, Jannick , Ashrafzadeh‐Kian, Susan , Bornhorst, Joshua A. , Algeciras-Schimnich, Alicia, Bornhorst, Joshua , Theobald, J, Algeciras‐Schimnich, Alicia

Mayo Clinic

Clinical Chemistry | October 2, 2025 | Volume: 71 | Issue: Supplement_1 | Pages: No page available

10.1093/clinchem/hvaf086.652 Get It

Abstract Background Alzheimer’s disease (AD) cerebrospinal fluid (CSF) biomarkers, including the Aß42/40 and p-tau181/Aß42 ratios, are used in clinical practice to detect the presence of amyloid pathology for the diagnosis of AD. However, in some instances, discrepancies between Aß42/40 and p-tau181/Aß42 are observed. Such discrepancies may introduce uncertainties in the clinical management of patients presenting with cognitive decline. Identifying the underlying causes of these discrepancies and determining which biomarker abnormalities better predict disease progression is crucial to enhancing confidence in the use of these CSF biomarkers for the diagnosis of AD. This study aims to investigate the discordance between the Aß42/40 and p-tau181/Aß42 ratios, evaluate the frequency of these discrepancies, and identify potential causes. Methods Data from 958 individuals who had both CSF Aß42/40 and p-tau181/Aß42 tested at Mayo Clinic Laboratories between 2022 and 2024 and where the tests were ordered in CSF collected during the same lumbar puncture procedure were included. Cases with an inadequate sample collection, which could cause a false decrease in Aß42 concentrations, were excluded from the analysis. Aß42/40 was measured using the Fujirebio LUMIPULSE assays and reported as negative, likely positive, or positive. For this analysis, likely positive and positive results were combined and considered as positive (<0.072). P-tau181/Aß42 was measured using the Roche Elecsys assays and above 0.028 was considered positive. Statistical analyses were conducted using R Studio. Results Aß42/40 was positive in 69.1% of cases (n=661), while p-tau181/Aß42 was positive in 62.1% (n=594). There were 8.0% discordant cases (n=77). Most frequently, the discordant cases had an abnormal Aß42/40 with a normal p-tau181/Aß42 (Aß42/40+/p-tau181/Aß42-; n=72, 94%). Compared to the concordant Aß42/40+/p-tau181/Aß42+ group, the discordant Aß42/40+/p-tau181/Aß42- group showed significantly higher Aß42 concentrations (p <0.001, median [pg/mL]: 878.5 vs 587.0, respectively); whereas p-tau181 concentrations were significantly lower (p <0.001, median [pg/mL]: 19.3 vs 32.1, respectively). Among the Aß42/40+/p-tau181/Aß42- group, 30 cases exhibited abnormally low Aß42 and normal p-tau181, possibly reflecting early-stage AD. There were 41 cases with a normal Aß42 concentration despite an abnormal Aß42/40, possibly reflecting an overall higher production of Aß peptides resulting in an increased Aß40 peptide (median [pg/mL]: 12627 compared to 9487 in the low Aß42 and normal p-tau181 cases (n=30); p <0.001). Of these 41, 19 showed normal Aß42 but elevated p-tau181 concentrations where the use of Aß42/40 compensated for the overall higher production of Aß peptides, resulting in an abnormal ratio. In contrast, the p-tau181/Aß42 ratio was not able to normalize for these differences, leading to a normal ratio. Conclusion While overall concordance was 92.0%, our findings suggest that discrepancies between CSF Aß42/40 and p-Tau181/Aß42 are more often due to the presence of an abnormal Aß42/40 and a normal p-Tau181/Aß42. Two potential explanations for these discrepancies are early-stage AD or higher production of Aß peptides in some individuals. In the latter, differences in amyloid production would be normalized by ratios of the same biomarker (i.e. Aß42/40) but not by ratios of different biomarkers (i.e. p-Tau181/Aß42).
3D printable biopolymers as pelvic floor scaffolds
Chambers, Lindsay B. , Zhu, Yuxiang , Yu, Churan , Crutchfield, Natalie , Hou, Jixin , Liu, Yang , Sobczak, M. Taylor , Theobald, Taylor G. , Sun, Xiao , Stoll, Carly R. , Pulido, Tiffany V., Yi, Johnny , Cornella, Jeffrey L. , McIlwee, Heather, Handa, Hitesh , Song, Kenan , Song, Kenan , Zhu, Yuxiang , Liang, Liang , Wang, Xianqiao , Liu, Yang , Sun, Xiao, Brisbois, Elizabeth J. , Lancaster, Jessica N.

Mayo Clinic

Polymer Chemistry | December 3, 2024 | Volume: 16 | Issue: 3 | Pages: 345-355

10.1039/d4py01103a Get It

Our polyvinyl alcohol feedstock was prepared through carbic anhydride functionalization, UV curing during direct ink writing, and base treatment. The scaffold exhibited mechanical properties similar to pelvic floor tissue.
3D‐Printed Polymeric Biomaterials for Health Applications
Zhu, Yuxiang , Guo, Shenghan , Ravichandran, Dharneedar , Ramanathan, Arunachalam , Sacco, Alaina F., Patil, Dhanush , Thummalapalli, Sri Vaishnavi , Pulido, Tiffany V., Lancaster, Jessica N. , Yi, Johnny , Cornella, Jeffrey L. , Wang, Linbing , Zhao, Yiping , Chambers, Lindsay B. , Theobald, Taylor G. , Yang, Sui , Liang, Liang, Song, Kenan , Patil, Dhanush , Thummalapalli, Sri Vaishnavi , Lancaster, Jessica N , Yi, Johnny , Chen, Xiangfan , Mei, Xuan , Zhang, Yu Shrike , Wang, Linbing , Wang, Xianqiao , Zhao, Yiping , Hassan, Mohammad K , Yang, Sui , Song, Kenan , Ravichandran, Dharneedar , Zhu, Yuxiang , Ramanathan, Arunachalam , Sobczak, M. Taylor , Sacco, Alaina F., Lott, David G. , Chen, Xiangfan , Mei, Xuan , Zhang, Yu Shrike , Liang, Liang

Mayo Clinic

Advanced Healthcare Materials | November 5, 2024 | Volume: 14 | Issue: 1 | Pages: No page available

10.1002/adhm.202402571 | PMID 39498750 Get It

Abstract 3D printing, also known as additive manufacturing, holds immense potential for rapid prototyping and customized production of functional health‐related devices. With advancements in polymer chemistry and biomedical engineering, polymeric biomaterials have become integral to 3D‐printed biomedical applications. However, there still exists a bottleneck in the compatibility of polymeric biomaterials with different 3D printing methods, as well as intrinsic challenges such as limited printing resolution and rates. Therefore, this review aims to introduce the current state‐of‐the‐art in 3D‐printed functional polymeric health‐related devices. It begins with an overview of the landscape of 3D printing techniques, followed by an examination of commonly used polymeric biomaterials. Subsequently, examples of 3D‐printed biomedical devices are provided and classified into categories such as biosensors, bioactuators, soft robotics, energy storage systems, self‐powered devices, and data science in bioplotting. The emphasis is on exploring the current capabilities of 3D printing in manufacturing polymeric biomaterials into desired geometries that facilitate device functionality and studying the reasons for material choice. Finally, an outlook with challenges and possible improvements in the near future is presented, projecting the contribution of general 3D printing and polymeric biomaterials in the field of healthcare.
Postsurgical utility of copeptin for the prediction of postoperative arginine vasopressin deficiency
Donegan, Diane , Bornhorst, Joshua A. , Atkinson, John L. D., Theobald, J P., Meyer, Fredric F., Link, Michael J. , Peris‐Celda, Maria , Spears, Grant M. , Erickson, Dana , Spears, Grant, Bornhorst, Joshua , Gompel, Jamie J. Van

Mayo Clinic

Journal of Neurosurgery | November 11, 2023 | Volume: 140 | Issue: 5 | Pages: 1276-1284

10.3171/2023.8.jns23418 | PMID 37948691 Get It

OBJECTIVE Arginine vasopressin deficiency (AVD) following neurosurgical procedures for pituitary disorders is common and can delay discharge. Copeptin, a stable surrogate marker of arginine vasopressin, may predict postoperative AVD. The authors’ aim was to assess the optimal postoperative sampling time and cut-point concentration of copeptin to predict the development of postsurgical AVD. METHODS Adults without preexisting AVD who were undergoing surgery for a pituitary lesion between February 2020 and April 2022 were eligible for study inclusion. Two samples were drawn from each patient postoperatively to assess the copeptin concentration using an immunofluorescent assay. Samples were denoted as "early" (within 6 hours of extubation) or "postoperative day 1" (POD1; within 10–30 hours of extubation). Patients were evaluated for the development of AVD. RESULTS One hundred ninety-two patients (54.2% female) with a median age of 54.5 years (IQR 39.8–67.0 years) were included in the study. The median copeptin concentration at both time points was significantly lower in those with AVD (transient or permanent; n = 22, 11.5%) than in those without (early: 4.9 vs 18.7 pmol/L, p < 0.001; POD1: 3.4 vs 4.9 pmol/L, p < 0.001) but did not differ in those who developed transient versus permanent AVD. The optimal copeptin cut point for the prediction of AVD was < 8.5 pmol/L for early samples (sensitivity 0.70, specificity 0.80, positive predictive value [PPV] 0.29, negative predictive value [NPV] 0.96) and < 4.3 pmol/L for POD1 samples (sensitivity 0.82, specificity 0.63, PPV 0.22, NPV 0.96). In early samples, a copeptin cutoff of 22.9 pmol/L increased the sensitivity for the detection of AVD to 95% with an NPV of 99%. The proportion of patients who had AVD was higher (60.0% vs 8.8%, p < 0.001) and the copeptin concentration lower (early: 4.3 vs 17.0 pmol/L, p < 0.001; POD1: 2.7 vs 4.9 pmol/L, p < 0.001) among those who had undergone surgery for a craniopharyngeal duct pathology versus a pituitary adenoma. Although copeptin was lower in patients with persistent Cushing’s disease than in those in remission, the difference did not reach statistical significance (early p = 0.11, POD1 p = 0.52). Furthermore, the copeptin concentration could not predict the development of syndrome of inappropriate secretion of antidiuretic hormone. Patients without AVD who had received stress dose steroids intraoperatively had lower median early copeptin (11.7 vs 19.1 pmol/L, p = 0.027). CONCLUSIONS In early postoperative copeptin samples, the optimal copeptin cut point for AVD diagnosis was < 8.5 pmol/L, and a level > 22.9 pmol/L had predicative utility in excluding AVD. Caution should be used when interpreting copeptin results, as patients administered glucocorticoids intraoperatively without AVD had lower median copeptin concentrations.
Smoking Status, Nicotine Medication, Vaccination, and COVID-19 Hospital Outcomes: Findings from the COVID EHR Cohort at the University of Wisconsin (CEC-UW) Study
Piasecki, Thomas M. , Smith, Stevens S. , Slutske, Wendy S., Adsit, Robert T. , Conner, Karen L. , Eng, Oliver D., Lazuk, David , Gonzalez, Alec , Jorenby, Douglas E. , D’Angelo, Heather , Kirsch, Julie A. , Williams, Brian , Hayes-Birchler, Todd , Kent, Sean , Kim, Hanna , Lubanski, Stan, Cai, Yuxin , Kashyap, Nitu , Mathew, Jomol , McMahan, Gabriel , Rolland, Betsy , Tindle, Hilary A. , Warren, Graham , An, Lawrence C. , Boyd, Andrew D. , Brunzell, Darlene H., Carrillo, Victor A. , Chen, Li‐Shiun , Davis, James M. , Deshmukh, Vikrant , Dilip, Deepika , Ellerbeck, Edward F. , Jose, Thulasee , Klass, Elizabeth , Tong, Elisa K. , Tsoh, Janice Y. , Wilson, Karen M. , Theobald, Wendy E. , Kent, Sean , Kim, Hanna , Khanna, Niharika , Klass, Elizabeth , Mermelstein, Robin J , Tong, Elisa , Tsoh, Janice Y , Piasecki, Thomas M , Smith, Stevens S , Conner, Karen L , Boyd, Andrew D , Davis, James M , Jose, Thulasee , Baker, Timothy B. , Bolt, Daniel M. , Bernstein, Steven L. , Eng, Oliver D, Nolan, Margaret , Yu, Menggang , Suk, Youmi , Goldstein, Adam O , Iturrate, Eduardo , King, Andrea , Fiore, Michael C.

Mayo Clinic

Nicotine and Tobacco Research | September 7, 2022 | Volume: 25 | Issue: 6 | Pages: 1184-1193

10.1093/ntr/ntac201 | PMID 36069915 Get It

AbstractIntroductionAvailable evidence is mixed concerning associations between smoking status and COVID-19 clinical outcomes. Effects of nicotine replacement therapy (NRT) and vaccination status on COVID-19 outcomes in smokers are unknown.MethodsElectronic health record data from 104 590 COVID-19 patients hospitalized February 1, 2020 to September 30, 2021 in 21 U.S. health systems were analyzed to assess associations of smoking status, in-hospital NRT prescription, and vaccination status with in-hospital death and ICU admission.ResultsCurrent (n = 7764) and never smokers (n = 57 454) did not differ on outcomes after adjustment for age, sex, race, ethnicity, insurance, body mass index, and comorbidities. Former (vs never) smokers (n = 33 101) had higher adjusted odds of death (aOR, 1.11; 95% CI, 1.06–1.17) and ICU admission (aOR, 1.07; 95% CI, 1.04–1.11). Among current smokers, NRT prescription was associated with reduced mortality (aOR, 0.64; 95% CI, 0.50–0.82). Vaccination effects were significantly moderated by smoking status; vaccination was more strongly associated with reduced mortality among current (aOR, 0.29; 95% CI, 0.16–0.66) and former smokers (aOR, 0.47; 95% CI, 0.39–0.57) than for never smokers (aOR, 0.67; 95% CI, 0.57, 0.79). Vaccination was associated with reduced ICU admission more strongly among former (aOR, 0.74; 95% CI, 0.66–0.83) than never smokers (aOR, 0.87; 95% CI, 0.79–0.97).ConclusionsFormer but not current smokers hospitalized with COVID-19 are at higher risk for severe outcomes. SARS-CoV-2 vaccination is associated with better hospital outcomes in COVID-19 patients, especially current and former smokers. NRT during COVID-19 hospitalization may reduce mortality for current smokers.ImplicationsPrior findings regarding associations between smoking and severe COVID-19 disease outcomes have been inconsistent. This large cohort study suggests potential beneficial effects of nicotine replacement therapy on COVID-19 outcomes in current smokers and outsized benefits of SARS-CoV-2 vaccination in current and former smokers. Such findings may influence clinical practice and prevention efforts and motivate additional research that explores mechanisms for these effects.
Relations of Current and Past Cancer with Severe Outcomes among 104,590 Hospitalized COVID-19 Patients: The COVID EHR Cohort at the University of Wisconsin
Piasecki, Thomas M. , Smith, Stevens S. , Baker, Timothy B. , Fiore, Michael C. , Adsit, Robert T. , Bolt, Daniel M. , Conner, Karen L. , Bernstein, Steven L. , Eng, Oliver S. , Lazuk, David , Gonzalez, Alec , Hayes-Birchler, Todd , Jorenby, Douglas E. , D’Angelo, Heather , Kirsch, Julie A. , Williams, Brian , Kent, Sean , Kim, Hanna , Lubanski, Stanley A. , Cai, Yuxin , Kashyap, Nitu , Mathew, Jomol , McMahan, Gabriel , Rolland, Betsy , Tindle, Hilary A. , Warren, Graham , Abu-el-rub, Noor , An, Lawrence C. , Boyd, Andrew D. , Brunzell, Darlene H., Carrillo, Victor A. , Chen, Li‐Shiun , Davis, James M. , Deshmukh, Vikrant , Dilip, Deepika , Ha, Patrick K. , Jose, Thulasee , Klass, Elizabeth , Lui, Michelle , Poon, Chester , Tong, Elisa K. , Wilson, Karen M. , Theobald, Wendy E. , Nolan, Margaret B , Piasecki, Thomas M , Smith, Stevens S , Baker, Timothy B , Fiore, Michael C , Adsit, Robert T , Bolt, Daniel M , Conner, Karen L , Bernstein, Steven L , Eng, Oliver , Lazuk, David , Gonzalez, Alec , Hayes-Birchler, Todd , Jorenby, Douglas E , D'Angelo, Heather , Kirsch, Julie A , Williams, Brian S , Kent, Sean , Kim, Hanna , Lubanski, Stanley A , Yu, Menggang , Suk, Youmi , Cai, Yuxin , Kashyap, Nitu , Mathew, Jomol , McMahan, Gabriel , Rolland, Betsy , Tindle, Hilary A , Warren, Graham W , Abu-El-Rub, Noor , An, Lawrence C , Boyd, Andrew D , Carrillo, Victor A , Chen, Li-Shiun , Davis, James M , Deshmukh, Vikrant G , Dilip, Deepika , Goldstein, Adam O , Ha, Patrick K , Iturrate, Eduardo , Jose, Thulasee , Khanna, Niharika , King, Andrea , Klass, Elizabeth , Lui, Michelle , Mermelstein, Robin J , Poon, Chester , Tong, Elisa , Wilson, Karen M , Theobald, Wendy E , Slutske, Wendy S , Nolan, Margaret , Yu, Menggang

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Cancer Epidemiology, Biomarkers & Prevention | August 15, 2022 | Volume: 32 | Issue: 1 | Pages: 12-21

10.1158/1055-9965.epi-22-0500 | PMID 35965473 Get It

Abstract Background: There is mixed evidence about the relations of current versus past cancer with severe COVID-19 outcomes and how they vary by patient and cancer characteristics. Methods: Electronic health record data of 104,590 adult hospitalized patients with COVID-19 were obtained from 21 United States health systems from February 2020 through September 2021. In-hospital mortality and ICU admission were predicted from current and past cancer diagnoses. Moderation by patient characteristics, vaccination status, cancer type, and year of the pandemic was examined. Results: 6.8% of the patients had current (n = 7,141) and 6.5% had past (n = 6,749) cancer diagnoses. Current cancer predicted both severe outcomes but past cancer did not; adjusted odds ratios (aOR) for mortality were 1.58 [95% confidence interval (CI), 1.46–1.70] and 1.04 (95% CI, 0.96–1.13), respectively. Mortality rates decreased over the pandemic but the incremental risk of current cancer persisted, with the increment being larger among younger vs. older patients. Prior COVID-19 vaccination reduced mortality generally and among those with current cancer (aOR, 0.69; 95% CI, 0.53–0.90). Conclusions: Current cancer, especially among younger patients, posed a substantially increased risk for death and ICU admission among patients with COVID-19; prior COVID-19 vaccination mitigated the risk associated with current cancer. Past history of cancer was not associated with higher risks for severe COVID-19 outcomes for most cancer types. Impact: This study clarifies the characteristics that modify the risk associated with cancer on severe COVID-19 outcomes across the first 20 months of the COVID-19 pandemic. See related commentary by Egan et al., p. 3
GALAD Score for Hepatocellular Carcinoma Detection in Comparison with Liver Ultrasound and Proposal of GALADUS Score
Yang, Ju Dong , Addissie, Benyam D., Mara, Kristin C. , Harmsen, William S. , Dai, Jianliang , Zhang, Ning , Wongjarupong, Nicha , Ali, Hawa M. , Ali, Hamdi A. , Hassan, Fatima, Lavu, Sravanthi , Cvinar, Jessica, Giama, Nasra H., Moser, Catherine D., Miyabe, Katsuyuki , Allotey, Loretta K., Theobald, Jannick , Ward, Melissa M., Nguyen, Mindie H. , Befeler, Alex S. , Reddy, K. Rajender , Schwartz, Myron , Harnois, Denise M. , Srivastava, Sudhir , Rinaudo, Jo Ann, Feng, Ziding , Marrero, Jorge A. , Roberts, Lewis R. , Hassan, Fatima A, Cvinar, Jessica L, Theobald, J Paul, Roberts, Lewis R , Miyabe, Katsuyuki , Mara, Kristin C , Yang, Ju Dong , Algeciras‐Schimnich, Alicia , Theobald, J. Paul, Yamada, Hiroyuki , Gores, Gregory J.

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Cancer Epidemiology, Biomarkers & Prevention | November 21, 2018 | Volume: 28 | Issue: 3 | Pages: 531-538

10.1158/1055-9965.epi-18-0281 | PMID 30464023 Get It

Abstract Background: The GALAD score is a serum biomarker–based model that predicts the probability of having hepatocellular carcinoma (HCC) in patients with chronic liver disease. We aimed to assess the performance of the GALAD score in comparison with liver ultrasound for detection of HCC. Methods: A single-center cohort of 111 HCC patients and 180 controls with cirrhosis or chronic hepatitis B and a multicenter cohort of 233 early HCC and 412 cirrhosis patients from the Early Detection Research Network (EDRN) phase II HCC Study were analyzed. Results: The area under the ROC curve (AUC) of the GALAD score for HCC detection was 0.95 [95% confidence interval (CI), 0.93–97], which was higher than the AUC of ultrasound (0.82, P &lt;0.01). At a cutoff of −0.76, the GALAD score had a sensitivity of 91% and a specificity of 85% for HCC detection. The AUC of the GALAD score for early-stage HCC detection remained high at 0.92 (95% CI, 0.88–0.96; cutoff −1.18, sensitivity 92%, specificity 79%). The AUC of the GALAD score for HCC detection was 0.88 (95% CI, 0.85–0.91) in the EDRN cohort. The combination of GALAD and ultrasound (GALADUS score) further improved the performance of the GALAD score in the single-center cohort, achieving an AUC of 0.98 (95% CI, 0.96–0.99; cutoff −0.18, sensitivity 95%, specificity 91%). Conclusions: The performance of the GALAD score was superior to ultrasound for HCC detection. The GALADUS score further enhanced the performance of the GALAD score. Impact: The GALAD score was validated in the United States.
Bone Research Society Abstracts
Team, the ERC ADREEM, Roelofs, Anke J. , Cummings, Steven R. , Bhimjiyani, A. , Neuburger, Jenny , Gregson, Celia L, Sparkes, Penny C. , Swiatkowska, Agnes, Lelliott, Christopher J. , Williams, Graham R. , Bassett, J. H. Duncan , Paton‐Hough, Julia, Tazzyman, Simon , Evans, Holly , Lath, Darren , Down, Jenny , Green, Alanna, Snowden, John A. , Chantry, Andrew, Na, Harvey, Shepstone, Lee , Kanis, John А. , Lenaghan, Elizabeth, Clarke, Shane, Harvey, I., Heawood, Ali, Howe, Amanda , Marshall, Tarnya, McCloskey, Eugène , Group, the SCOOP Trial, Hardy, Rebecca , Adams, Judith E., Aspden, Richard, Js, Gregory , Vlachopoulo, Dimitris, Maslin, Kate , Gossiel, Fatma , Bishop, Nicholas , Fraser, Robert, Gandhi, Saurabh , Prentice, Ann , Schoenmakers, Inez , Eastell, Richard , Cooper, Cyrus, Group, the MAVIDOS Trial, Ward, Kate, Cooper, Cyrus, Dennison, Elaine, Bonnet, Cleo, Eccles, Emily, Norman, K. Duane, Ko, Jeong‐Hun, Williams, G. Rhys, Madhusudan, Namrata, Bountra, C. , Oppermann, Udo , Oreffo, Richard OC , McEwan, Josephine, White, Kate L. , Oreffo, Richard, Dunlop, D. , Cornish, Jillian , Goring, Alice, Boyde, A. , Hesse, Eric , Olsen, Björn, Pitsilides, Andrew, Oreffo, Richard, Hartley, A M, Fraser, William, Tobias, JS, Harvey, Nicolas, Johansson, Helena , Cooper, Cyrus, Team, SCOOP Study, Roberts, Fiona , Rashdan, Nabil A. , Staines, Katherine, Milne, Elspeth , Morton, Nicholas M. , McCulloch, Kendal, Dunning, Lynette, Lockhart, John C. , Thomas, Neil Peter, Ranganath, L. , Gallagher, James A., Ward, Kate, Stewart, Angela, Garratt, Liz, Bastin, Sonja , Gamble, Gregory D., Shaw, Nick , Prieto-Alhambra, D, Cooper, Cyrus, Hughes, Juliette H. , Liu, Ke , Hughes, Andrew, Nijjar, Jagtar Singh , Padley, Jessica, Poole, Ken, Litwic, Anna, Dennison, Elaine, Edwards, Mark H. , Cooper, Cyrus, Dennison, Elaine, Ishimoto, Yuyu , Cooper, Cyrus, Ntani, Georgia , Yamada, H. , Muraki, Shigeyuki , Yoshida, Munehito , Yoshimura, Tan, Juan, Poole, Kenneth, Larrouture, Quitterie C. , Athanasou, Nick, Al-Sari, Usama , Felder, Alessandro , Chua, Melissa Y, Lodhia, Kalyani, Kłosowski, Michał M. , Farquharson, Colin, Inglis, Stefanie , Redl, Heinz , Oreffo, Richard, Gogakos, Apostolos , Ebri, Davide Komla, Pipelines, Sanger Mouse, Cidonio, Gianluca , Lanham, Stuart , Dawson, Jonathan, Oreffo, Richard, McEwan, Josephine, Wells, Julia, Oka, Hiroyuki , Iidaka, Toshiko , Kodama, Rie , Horii, Chiaki , Nakamura, Kozo, Akune, Toru, Hudson, Katie, Fisher, Matt , Chantry, Andrew, Adoum, Anne‐Tounsia, Bassett, Duncan, Mannan, Naila S., Dewhurst, Hannah F. , Ghirardello, Elena J. , Pipelines, Sangar Mouse, Komla‐Ebri, David, Curry, Katharine F., 𠀉, JH, Ganguly, Payal , Sparkes, Penny, Curry, Katherine F., Sim, Alisia, Kaczynski, Jakub , Novak, Amanda , Mills, David , Bonnet, Cleo, Ihenacho, Menna, Cronin, Rose‐Marie, Mason, Debbie , Rodriguez, Alexander, Xu, Cecilia, Scott, David , Dennison, Elaine, Stephenson, Sonya, Cosulich, Carlotta, Cooper, Cyrus, Sano, Hiroshige, Kondo, Naoki , Shimakura, Taketoshi, Fujisawa, Junichi, Kijima, Yasufumi, Skingle, Linda , Yamamoto, Noriaki , Takahashi, Hideaki E. , Endo, Naoto , Beamish, Rebecca, Evans, Sam, Morgan, Stephanie , Hooper, Kirsty M. , Halewood, Katherine , Stevens, Craig , Staines, Katherine, Steenhuis, Pieter, Ignelzi, Michael A., Morris, Michael D., Karabetsos, Matthew, VanRenterghem, Gloria, Ayyalusamy, Ramamoorthy, Kadamban, Premila, Vaughan‐Lane, Timothy, Wright, Maria da Glória Miotto , Poole, Kenneth , Cooper, Cyrus, Neven, Ellen, Wheeler‐Jones, Caroline , Rukuni, Ruramayi , Crabtree, Nicola , Mukwasi, Cynthia, McHugh, Grace , Gregson, Celia L, Luo, Jin , Dodhia, Vikash , Czekanska, Ewa M., Oreffo, Richard, Arnold, Emily L. , Gohin, Stéphanie , Soper, Robin, Ytrebø, Lars Marius , Meeson, Richard , Howat, D. , Hodges, Stephen , Evelyn‐Wright, Stephanie , Mavrogordato, Mark , Rankin, Kathryn , Stocks, Oliver, Hartley, Chris , Kerslake, R. W. , Thomson, Seamus , Muderis, Munjed Al, Ward, Kevin R. , Sowman, Aneka, Hart, Deborah , Spector, Tim D. , Coxon, Joshua, Townsend, Paul , Jones, Rebecca , Lawrence, Kevin M., Egan, B. T., Tattersall, Luke , Holm, Stefan H. , Martin, Jenny, Saunders, Fiona, Martin, J F, Saunders, Fiona, Davies, Amanda, Hugtenburg, R.P. , Wintsch, Emma, Anderson, Susan, Alshamrani, Hassan A. , Paggiosi, Margaret , Bishop, Nick , Offiah, Amaka C , Pretorius, Sarah, Roberts, Scott, Logan, Malcolm , Allaire, Brett , Bouxsein, Mary , Olatokun, Olamide, Nash, Thomas H., Abdul-Jabar, Hani B., Tran, Anh Nhi, Segeletz, Sandra, McDermott, Emma, Wileman, Tom, Helfrich, Miep , Redman, Amelia, Elford, Carole, Evans, Bronwen, Bradley, Mark , Martín, Iván , Khosla, Sundeep , Mahajan, Sumeet , Heller, Markus O.W. , Schneider, Philipp , Bonewald, Lynda F. , Lillycrop, Karen A. , Hanson, Mark, Lord, Janet M. , Maes, Christa , Ben‐Shlomo, Yoav , Leitch, Victoria D. , Logan, John G. , Croucher, Peter Ian , Lawson, Michelle Anne , Chantry, Andrew , Parsons, Camille M. , Fordham, Richard J , Gittoes, Neil , Holland, Richard , Redmond, Niamh Maria , Peters, T. J. , Torgerson, David John , O’Neill, Terence W , Cooper, Cyrus , Ireland, Alex , Muthuri, Stella G. , Saunders, Fiona R. , Pavlova, Anastasia Vladimirovna , Martin, Kathryn Remmes , Barr, Rebecca J. , Kuh, Diana J. , Cooper, Rachel , BARKER, ALAN ROBERT , Ubago‐Guisado, Esther , Williams, Craig Anthony , Gracia‐Marco, Luis , Curtis, Elizabeth Mary , D’Angelo, Stefania , Moon, Rebecca Jane , Crozier, Sarah , Kennedy, Stephen , Papageorghiou, Aris T. , Fraser, Robert, Inskip, Hazel M. , Godfrey, Keith M. , Javaid, M K , Cooper, Cyrus, Harvey, Nicholas C. , Group, the MAVIDOS Trial, Fuggle, Nicholas R. , Westbury, Leo D. , Syddall, Holly Emma , Ward, Kate, Duggal, Niharika Arora , Bonnet, Cleo Selina , Gilbert, Sophie J. , Norman, Kingsley, Mason, Deborah J. , Pereira, Marie , Petretto, Enrico , Williams, Graham R, Behmoaras, Jacques V. , Andrés, María C. de , Goriainov, Vitali , McEwan, Josephine K, White, Kate, Ferrara, Napoleone, Olsen, Bjorn, Clarkin, Claire E. , Paternoster, Lavinia , Kemp, John P. , Evans, David, TANG, JONATHAN C. Y. , Tobias, Jon H, Gregson, Celia Louise , Harvey, Nicolas, Orriss, Isabel R. , Ahmed, Faisal, Farquharson, Colin , MacRae, Vicky E. , Huesa, Carmen , Hof, Rob vanʼt , Goodyear, Carl S. , Thomas, Neil P. , Jeffery, Nathan S. , Breasail, Mícheál Ó , Reid, Ian R. , Horne, Anne M. , Mihov, Borislav , Bolland, Mark J , Delmestri, Antonella , Pinedo‐Villanueva, Rafael , Wilson, Peter, Hughes, Andrew, Bou–Gharios, George , Ward, Kate, Yamada, Hiroshi, Hashizume, Hiroshi , Tanaka, Sakae , Walker-Bone, Karen E , Knowles, Helen J. , Snelling, Sarah , Tobias, Jon H, Clark, Emma , Doube, Michael , Hutchinson, John R. , Shefelbine, Sandra J. , Dillon, Scott , Nudelman, Fabio , Kanczler, Janos M. , Schneider, Karl H. , Pollard, Andrea S. , Butterfield, Natalie C. , Williams, Graham R, Ahlfeld, Tilman , Glinka, Michael , Kim, Yang‐Hee , Yang, Shoufeng , Gelinsky, Michael , Wells, Julia A. , Kawaguchi, Hiroshi , Fisher, Matt, Miszkiewicz, Justyna Jolanta , Yoshimura, Takashi , Allen, Rebecca S. , El‐Jawhari, Jehan J. , Burska, Agata N. , Ponchel, Frédérique , Giannoudis, Peter Vasilios , Jones, Elena , Komla-Ebri, Davide S. K. , Hohenstein, Peter , Hung, John , Newby, David E. , Baker, Andrew, Karsenty, Gérard , Hsu, Shun‐Neng , Staines, Katherine Ann , Blain, Emma J. , Mason, Debbie, Rodriguez, Alexander, McMillan, Lachlan B. , Srikanth, Velandai , Ebeling, Peter R. , Javaheri, Behzâd , Ferrara, Napoleone, Olsen, Bjorn, Pitsillides, Andrew A. , Jones, Tim J , Clynes, Michael A. , James, Anthony , Harvey, Nicolas, Ersek, Adel , Cosulich, Carlotta Cecilia, Udalova, Irina A. , Horwood, Nicole J. , Jameson, Karen, Dennison, Elaine Margaret , Ayre, Wayne Nishio , Evans, Sam, Morgan, Stephanie, Mandair, Gurjit S. , Kohn, David H. , Kadamban, Premila, Galloway, James Benjamin , Vaughan-Lane, Tim, Wright, Maria, Brassett, Cecilia , Poole, Kenneth, Judge, Andrew , Leyland, Kirsten M. , Bourne, Lucie E. , Patel, Jessal J. , D’Haese, Patrick C. , Majonga, Edith D. , Mujuru, Hilda Angela , Ferrand, Rashida A. , Chen, Jiye , Dawson, Jonathan I. , Geng, Jin , Lim, Khoon S. , Woodfield, Tim B. F. , Greenwood, Charlene , Rogers, Keith D. , McGivern, Hannah , Márquez‐Grant, Nicholas , Zioupos, Peter , Hopkinson, Mark , Howat, David, Williams, Katherine A. , Gostling, Neil J. , Dyke, Gareth J. , Browne, Martin , Woods, Christopher, Dickinson, Alex , Zakrzewski, Sonia , Hartley, Chris, Folland, Jonathan P. , Brooke-Wavell, Katherine S. F. , Ossipov, Dmitri A. , Lu, William W. , Arden, Nigel , Edwards, James R., Kluzek, Stefan , Sanchez-Santos, Maria Teresa , Ismail, Omar Mohammad , Egan, Ben, Birchall, James C. , Heard, Charles, Marchi, Elena De , Virgilio, Francesco Di , Adinolfi, Elena , Gartland, Alison , Moura, Catarina Costa , Tare, Rahul S. , Xavier, Miguel , Beech, Jason Paul , Spencer, Daniel C. , Tegenfeldt, Jonas Olof , Morgan, Hywel , Murphy, Caitlin C. , Gregory, J.S. , Riemen, Anna H.K. , Davies, Amanda, Ahmad, Faizan , Theobald, Peter S. , Johnston, Richard, Piercy, Richard J. , Millar, Sophie , Anderson, Susan, O’Sullivan, Saoirse Elizabeth , Roberts, Scott, Jóhannesdóttir, Fjóla , Anderson, Dennis , Samelson, Elizabeth J , Kiel, Douglas P. , Nash, Thomas, Rochford, Justin J. , Al‐Sabah, Ayesha , Hardy, Rebecca

Mayo Clinic

JBMR Plus | October 2, 2018 | Volume: 2 | Issue: S1 | Pages: No page available

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