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Molendijk E, Schiphof D, Oei EHG, de Vos RJ, Bos PK, van Meurs JBJ, Lubberts E, Zillikens MC, van der Eerden BCJ, Kavousi M, Schouten BWV, de Rooij-Duran MIB, Bierma-Zeinstra SMA. Accelerated menopausal changes as human disease model 'FOCUM' for the development of osteoarthritis and other degenerative disorders: protocol for a prospective cohort study. BMJ Open 2022; 12:e064779. [PMID: 36375984 PMCID: PMC9664313 DOI: 10.1136/bmjopen-2022-064779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
INTRODUCTION The incidence of degenerative disorders, including osteoarthritis (OA), increases rapidly in women after menopause. However, the influence of the menopause is still insufficiently investigated due to the slowness of menopausal transition. In this study, a novel human model is used in which it is expected that menopausal-related changes will occur faster. This is the Females discontinuing Oral Contraceptives Use at Menopausal age model. The ultimate aim is to link these changes to OA and other degenerative disorders, including cardiovascular diseases, diabetes, osteoporosis and tendinopathies. METHODS AND ANALYSIS This is a pilot observational prospective cohort study with 2 years of follow-up. Fifty women aged 50-60 who use oral contraceptive (OC) and have the intention to stop are included. Measurements are performed once before stopping OC, and four times thereafter at 6 weeks, 6 months, 1 year and 2 years. At every time point, a questionnaire is filled in and a sample of blood is drawn. At the first and final time points, a physical examination, hand radiographs and a MRI scan of one knee are performed. The primary OA outcome is progression of the MRI Osteoarthritis Knee Score. Secondary OA outcomes are the development of clinical knee and hand OA, development of knee OA according to the MRI definition, and progression of radiographic features for hand OA. Principal component analysis will be used to assess which changes occur after stopping OC. Univariate and multivariate generalised estimating equation models will be used to test for associations between these components and OA. ETHICS AND DISSEMINATION The study has been approved by the Medical Ethics Committee of the Erasmus MC University Medical Center Rotterdam (MEC-2019-0592). All participants must give informed consent before data collection. Results will be disseminated in national and international journals. TRIAL REGISTRATION NUMBER NL70796.078.19.
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Affiliation(s)
- Eveline Molendijk
- Department of General Practice, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Dieuwke Schiphof
- Department of General Practice, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Edwin H G Oei
- Department of Radiology and Nuclear Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Robert-Jan de Vos
- Department of Orthopaedics and Sports Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - P Koen Bos
- Department of Orthopaedics and Sports Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Joyce B J van Meurs
- Department of Orthopaedics and Sports Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Erik Lubberts
- Department of Rheumatology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - M Carola Zillikens
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | | | - Maryam Kavousi
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Boris W V Schouten
- Department of General Practice, Erasmus Medical Center, Rotterdam, The Netherlands
| | | | - Sita M A Bierma-Zeinstra
- Department of General Practice, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Orthopaedics and Sports Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
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van Hout MJ, Dekkers IA, Westenberg JJ, Schalij MJ, Widya RL, de Mutsert R, Rosendaal FR, de Roos A, Jukema JW, Scholte AJ, Lamb HJ. Normal and reference values for cardiovascular magnetic resonance-based pulse wave velocity in the middle-aged general population. J Cardiovasc Magn Reson 2021; 23:46. [PMID: 33866975 PMCID: PMC8054386 DOI: 10.1186/s12968-021-00739-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Accepted: 03/15/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Aortic stiffness, assessed through pulse wave velocity (PWV), is an independent predictor for cardiovascular disease risk. However, the scarce availability of normal and reference values for cardiovascular magnetic resonance imaging (CMR) based PWV is limiting clinical implementation. The aim of this study was to determine normal and reference values for CMR assessed PWV in the general population. METHODS From the 2,484 participants of the Netherlands Epidemiology of Obesity (NEO) study that have available CMR-PWV data, 1,394 participants free from cardiovasculard disease, smokers or treatment for diabetes, hypertension or dyslipidaemia were selected (45-65 years, 51% female). Participants were divided into sex, age and blood pressure (BP) subgroups. Normal values were specified for participants with a BP < 130/80 mmHg and reference values for elevated BP subgroups (≥ 130/80 and < 140/90 mmHg; and ≥ 140/90 mmHg). Differences between groups were tested with independent samples t-test or ANOVA. Due to an oversampling of obese individuals in this study, PWV values are based on a weighted analysis making them representative of the general population. RESULTS Normal mean PWV was 6.0 m/s [95% CI 5.8-6.1]. PWV increased with advancing age and BP categories (both p < 0.001). There was no difference between sex in normal PWV, however in the BP > 140/90 mmHg women had a higher PWV (p = 0.005). The interpercentile ranges were smaller for participants < 55 years old compared to participants ≥ 55 years, indicating an increasing variability of PWV with age. PWV upper limits were particularly elevated in participants ≥ 55 years old in the high blood pressure subgroups. CONCLUSION This study provides normal and reference values for CMR-assessed PWV per sex, age and blood pressure category in the general population.
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Affiliation(s)
- Max J van Hout
- Department of Cardiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands
| | - Ilona A Dekkers
- Department of Radiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands
| | - Jos J Westenberg
- Department of Radiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands
| | - Martin J Schalij
- Department of Cardiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands
| | - Ralph L Widya
- Department of Radiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands
| | - Renée de Mutsert
- Department of Epidemiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands
| | - Frits R Rosendaal
- Department of Epidemiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands
| | - Albert de Roos
- Department of Radiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands
| | - J Wouter Jukema
- Department of Cardiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands
| | - Arthur J Scholte
- Department of Cardiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands
| | - Hildo J Lamb
- Department of Radiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands.
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Moynihan KM, Johnson K, Rane M, Norman A, Humphreys S, Stocker C, Gibbons K, Roy J. Pediatric Thromboelastograph 6s and Laboratory Coagulation Reference Values. Arch Pathol Lab Med 2021; 145:1413-1423. [PMID: 33503231 DOI: 10.5858/arpa.2020-0647-oa] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/13/2020] [Indexed: 11/06/2022]
Abstract
CONTEXT.— Specific reference intervals (RIs) facilitate accurate interpretation of results. Coagulation assay results may vary by demographics and also between reagents and analyzers used. Current Thromboelastograph 6s (TEG 6s) Hemostasis Analyzer RIs were generated from adult samples. OBJECTIVE.— To generate reagent analyzer-specific pediatric RIs for TEG 6s and coagulation parameters. DESIGN.— A prospective, observational, single-center study of healthy children undergoing general anesthesia (January 3, 2017 to January 3, 2019). Venous blood samples were obtained for TEG 6s (Kaolin, Kaolin-Heparinase, Rapid and Functional Fibrinogen assays) and coagulation parameters (activated partial thromboplastin time, prothrombin time, thrombin clotting time, Echis time, antithrombin activity, and fibrinogen concentration using Instrumentation Laboratory ACL-TOP analyzers). Differences between activated partial thromboplastin time and prothrombin time reagents were investigated using mixed-effects regression, comparing maximum coefficients-of-variation with assay-specific allowable variation. RIs (lower/upper limits 2.5th of 97.5th percentiles) were generated using the following 2 methods: within discrete age-groups (neonates [<1 month], infants [1 month-1 year], young children [1-5 years], older children [6-10 years], and adolescents [11-16 years]), and modeled as functions of age and/or sex using quantile regression, including significant fractional polynomial and interaction terms. RESULTS.— Variation between prothrombin time and activated partial thromboplastin time assays using different reagents was clinically significant. Reagent-analyzer specific pediatric RIs were generated using data from 254 children. Discrete and model-based RIs varied by age for all coagulation parameters and TEG 6s variables in all assays. CONCLUSIONS.— We report reagent-analyzer specific pediatric RIs for TEG 6s and coagulation parameters. Observed variation reinforces recommendations for laboratory-specific RIs. These findings improve accuracy of interpretation of clinical results, provide a foundation for comparison and validation of tests in pathology and illustrate feasibility and advantages of model-based RI approaches.
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Affiliation(s)
- Katie M Moynihan
- From the Department of Cardiology, Division of Cardiovascular Critical Care, Boston Children's Hospital, Massachusetts (Moynihan).,Department of Pediatrics, Harvard Medical School, Boston, Massachusetts (Moynihan).,Pediatric Critical Care Research Group at Child Health Research Centre (Moynihan, Johnson, Humphreys, Stocker, Gibbons).,Faculty of Medicine (Moynihan), The University of Queensland, Australia
| | - Kerry Johnson
- Pediatric Critical Care Research Group at Child Health Research Centre (Moynihan, Johnson, Humphreys, Stocker, Gibbons).,Pediatric Intensive Care Unit (Johnson, Stocker)
| | - Mark Rane
- Pathology Queensland, Queensland Health - Queensland Children's Laboratory, Brisbane, Australia (Rane, Norman)
| | - Andrew Norman
- Pathology Queensland, Queensland Health - Queensland Children's Laboratory, Brisbane, Australia (Rane, Norman)
| | - Susan Humphreys
- Pediatric Critical Care Research Group at Child Health Research Centre (Moynihan, Johnson, Humphreys, Stocker, Gibbons).,Department of Anesthesia (Humphreys)
| | - Christian Stocker
- Pediatric Critical Care Research Group at Child Health Research Centre (Moynihan, Johnson, Humphreys, Stocker, Gibbons).,Pediatric Intensive Care Unit (Johnson, Stocker)
| | - Kristen Gibbons
- Pediatric Critical Care Research Group at Child Health Research Centre (Moynihan, Johnson, Humphreys, Stocker, Gibbons)
| | - John Roy
- Hematology Department (Roy), Queensland Children's Hospital, Brisbane, Australia
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Bender A, Kaesser U, Eichner G, Bachmann G, Steinmeyer J. Biomarkers of Hand Osteoarthritis Are Detectable after Mechanical Exercise. J Clin Med 2019; 8:E1545. [PMID: 31561460 PMCID: PMC6832610 DOI: 10.3390/jcm8101545] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2019] [Revised: 09/18/2019] [Accepted: 09/24/2019] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Hand osteoarthritis (OA) is one of the most common joint diseases, but studies on biomarkers are rare. The aim of this explorative study was (a) to evaluate potential biomarkers of hand OA, (b) to identify an optimal time point to sample venous blood, and (c) to correlate biomarker levels with radiological and clinical scores. METHODS Four female cohorts were investigated. One with a more Heberden-accentuated OA and one with a more Bouchard-accentuated hand OA, and two symptom-free control groups aged 20-30 or 50-75 years. The venous blood was sampled before and at eight time points after mechanical exercise of the OA hand. X-rays of OA hands were assessed using the Kellgren and Lawrence as well as Kallman scores. Participants were evaluated clinically using the AUSCAN™ Index, visual analog scale (VAS), and Health Assessment Questionnaire (HAQ). Serum levels of seven biomarkers were measured by ELISA. RESULTS The concentrations of CPII, COMP, IL-15, sVCAM-1, NGAL, and PIIANP were significantly increased within 15 min after exercise. PIIANP was markedly elevated in the Heberden-accentuated OA group as compared to both control groups, but did not correlate with any radiological or clinical score. Analysis of the probabilistic index further revealed that CPII can distinguish between Bouchard's OA and premenopausal controls whereas COMP can discriminate between Bouchard's and Heberden's OA. CONCLUSIONS This study demonstrates that even previously undetectable biomarkers can be quantified in serum after mechanical exercise. Future larger studies are needed to determine specificity and sensitivity of these markers and their ability to diagnose even pre-radiological OA.
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Affiliation(s)
- Anna Bender
- Laboratory for Experimental Orthopaedics, Department of Orthopaedics, Justus Liebig University Giessen, Paul-Meimberg-Str. 3, 35392 Giessen, Germany.
| | | | - Gerrit Eichner
- Mathematical Institute, Justus Liebig University Giessen, 35392 Giessen, Germany.
| | - Georg Bachmann
- Georg Bachmann, Department of Diagnostic Radiology, Kerckhoff-Klinik GmbH, 61231 Bad Nauheim, Germany.
| | - Juergen Steinmeyer
- Laboratory for Experimental Orthopaedics, Department of Orthopaedics, Justus Liebig University Giessen, Paul-Meimberg-Str. 3, 35392 Giessen, Germany.
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