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Disease-specific perception of fracture risk and incident fracture rates: GLOW cohort study.

ABSTRACT: UNLABELLED:Accurate patient risk perception of adverse health events promotes greater autonomy over, and motivation towards, health-related lifestyles. INTRODUCTION:We compared self-perceived fracture risk and 3-year incident fracture rates in postmenopausal women with a range of morbidities in the Global Longitudinal study of Osteoporosis in Women (GLOW). METHODS:GLOW is an international cohort study involving 723 physician practices across ten countries (Europe, North America, Australasia); 60,393 women aged ?55 years completed baseline questionnaires detailing medical history and self-perceived fracture risk. Annual follow-up determined self-reported incident fractures. RESULTS:In total 2,945/43,832 (6.8%) sustained an incident fracture over 3 years. All morbidities were associated with increased fracture rates, particularly Parkinson's disease (hazard ratio [HR]; 95% confidence interval [CI], 3.89; 2.78-5.44), multiple sclerosis (2.70; 1.90-3.83), cerebrovascular events (2.02; 1.67-2.46), and rheumatoid arthritis (2.15; 1.53-3.04) (all p < 0.001). Most individuals perceived their fracture risk as similar to (46%) or lower than (36%) women of the same age. While increased self-perceived fracture risk was strongly associated with incident fracture rates, only 29% experiencing a fracture perceived their risk as increased. Under-appreciation of fracture risk occurred for all morbidities, including neurological disease, where women with low self-perceived fracture risk had a fracture HR 2.39 (CI 1.74-3.29) compared with women without morbidities. CONCLUSIONS:Postmenopausal women with morbidities tend to under-appreciate their risk, including in the context of neurological diseases, where fracture rates were highest in this cohort. This has important implications for health education, particularly among women with Parkinson's disease, multiple sclerosis, or cerebrovascular disease.

SUBMITTER: Gregson CL

PROVIDER: S-EPMC3867337 | biostudies-literature | 2014 Jan

REPOSITORIES: biostudies-literature

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Disease-specific perception of fracture risk and incident fracture rates: GLOW cohort study.

Gregson C L CL Dennison E M EM Compston J E JE Adami S S Adachi J D JD Anderson F A FA Boonen S S Chapurlat R R Díez-Pérez A A Greenspan S L SL Hooven F H FH LaCroix A Z AZ Nieves J W JW Netelenbos J C JC Pfeilschifter J J Rossini M M Roux C C Saag K G KG Silverman S S Siris E S ES Watts N B NB Wyman A A Cooper C C

Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA 20130725 1

<h4>Unlabelled</h4>Accurate patient risk perception of adverse health events promotes greater autonomy over, and motivation towards, health-related lifestyles.<h4>Introduction</h4>We compared self-perceived fracture risk and 3-year incident fracture rates in postmenopausal women with a range of morbidities in the Global Longitudinal study of Osteoporosis in Women (GLOW).<h4>Methods</h4>GLOW is an international cohort study involving 723 physician practices across ten countries (Europe, North Ame ...[more]

PMID: 23884437

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Project description:Background: Somatic mutations in blood indicative of clonal hematopoiesis of indeterminate potential (CHIP), particularly in DNMT3A, TET2, and JAK2, are associated with an increased risk of hematologic malignancy, coronary artery disease, and all-cause mortality. However, whether CHIP is associated with increased risk of peripheral artery disease (PAD) remains unknown. In addition, chemotherapy frequently causes mutations in DNA Damage Repair (DDR) genes TP53 and PPM1D, and whether CHIP caused by somatic mutations in DDR genes results in increased risk of atherosclerosis is unclear. We sought to test whether CHIP, and CHIP caused by DDR genes, associates with incident peripheral artery disease (PAD) and atherosclerosis. Methods: We identified CHIP among 50,122 exome sequences in individuals from UK and Mass General Brigham Biobanks and tested CHIP status (N=2,851) with incident PAD and atherosclerosis across multiple arterial beds. To mimic the human scenario of clonal hematopoiesis and test whether the expansion of p53-deficient hematopoietic cells contributes to atherosclerosis, a competitive bone marrow transplantation (BMT) strategy was used to generate atherosclerosis-prone Ldlr-/- chimeric mice carrying 20% Trp53-/- hematopoietic cells (20% KO-BMT mice). We then evaluated aortic plaque burden and plaque macrophage accumulation 12 weeks after grafting. Results: CHIP associated with incident PAD (HR 1.7; P=2.2x10-5) and atherosclerosis in multiple beds (HR 1.3; P=9.7x10-5), with increased risk among individuals with DDR CHIP (HR 2.0; P=0.0084). Among atherosclerosis-prone Ldlr null mice, the p53 -/- 20% KO-BMT mice demonstrated increased aortic plaque size (p=0.013) and accumulation of p53-/- plaque macrophages (P<0.001), driven by an abundance of p53-deficient plaque macrophages. The expansion of p53-deficient cells did not affect the expression of the pro-inflammatory cytokines IL-6 and IL-1β in the atherosclerotic aortic wall. Conclusions: Our findings highlight the role of CHIP as a broad driver of atherosclerosis across the entire arterial system, with evidence of increased plaque among p53 -/- 20% KO-BMT mice via expansion of plaque macrophages. These observations provide new insight into the link between CHIP and cardiovascular disease, and lend human genetic support to the concept that post-cytotoxic chemotherapy patients may benefit from surveillance for atherosclerotic conditions in addition to therapy-related myeloid neoplasms.

Project description:Identification of blood biomarkers that prospectively predict progression of Mycobacterium tuberculosis infection to tuberculosis disease might lead to interventions that combat the tuberculosis epidemic. We aimed to assess whether global gene expression measured in whole blood of healthy people allowed identification of prospective signatures of risk of active tuberculosis disease. RESULTS:Between July 6, 2005, and April 23, 2007, we enrolled 6363 from the ACS study and 4466 from independent South African and Gambian cohorts. 46 progressors and 107 matched controls were identified in the ACS cohort. A 16 gene signature of risk was identified. The signature predicted tuberculosis progression with a sensitivity of 66Â·1% (95% CI 63Â·2â68Â·9) and a specificity of 80Â·6% (79Â·2â82Â·0) in the 12 months preceding tuberculosis diagnosis. The risk signature was validated in an untouched group of adolescents (p=0Â·018 for RNA sequencing and p=0Â·0095 for qRT-PCR) and in the independent South African and Gambian cohorts (p values <0Â·0001 by qRT-PCR) with a sensitivity of 53Â·7% (42Â·6â64Â·3) and a specificity of 82Â·8% (76Â·7â86) in 12 months preceding tuberculosis. Interpretation: The whole blood tuberculosis risk signature prospectively identified people at risk of developing active tuberculosis, opening the possibility for targeted intervention to prevent the disease. In this prospective cohort study, we followed up healthy, South African adolescents aged 12â18 years from the adolescent cohort study (ACS) who were infected with M tuberculosis for 2 years. We collected blood samples from study participants every 6 months and monitored the adolescents for progression to tuberculosis disease. A prospective signature of risk was derived from whole blood RNA sequencing data by comparing participants who developed active tuberculosis disease (progressors) with those who remained healthy (matched controls). After adaptation to multiplex qRT-PCR, the signature was used to predict tuberculosis disease in untouched adolescent samples and in samples from independent cohorts of South African and Gambian adult progressors and controls. Participants of the independent cohorts were household contacts of adults with active pulmonary tuberculosis disease.

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Disease-specific perception of fracture risk and incident fracture rates: GLOW cohort study.

Publications

Disease-specific perception of fracture risk and incident fracture rates: GLOW cohort study.

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