INTRODUCTION: Greater awareness of the relationship between co-morbidities and fracture risk may improve fracture-prediction algorithms such as FRAX. MATERIALS AND METHODS: We used a large, multinational cohort study (GLOW) to investigate the effect of co-morbidities on fracture risk. Women completed a baseline questionnaire detailing past medical history, including co-morbidity history and fracture. They were re-contacted annually to determine incident clinical fractures. A co-morbidity index, defined as number of baseline co-morbidities, was derived. The effect of adding the co-morbidity index to FRAX risk factors on fracture prevention was examined using chi-squared tests, the May-Hosmer test, c index and comparison of predicted versus observed fracture rates. RESULTS: Of 52,960 women with follow-up data, enrolled between October 2006 and February 2008, 3224 (6.1%) sustained an incident fracture over 2 years. All recorded co-morbidities were significantly associated with fracture, except for high cholesterol, hypertension, celiac disease, and cancer. The strongest association was seen with Parkinson's disease (age-adjusted hazard ratio [HR]: 2.2; 95% CI: 1.6-3.1; P<0.001). Co-morbidities that contributed most to fracture prediction in a Cox regression model with FRAX risk factors as additional predictors were: Parkinson's disease, multiple sclerosis, chronic obstructive pulmonary disease, osteoarthritis, and heart disease. CONCLUSION: Co-morbidities, as captured in a co-morbidity index, contributed significantly to fracture risk in this study population. Parkinson's disease carried a particularly high risk of fracture; and increasing co-morbidity index was associated with increasing fracture risk. Addition of co-morbidity index to FRAX risk factors improved fracture prediction.
INTRODUCTION: Greater awareness of the relationship between co-morbidities and fracture risk may improve fracture-prediction algorithms such as FRAX. MATERIALS AND METHODS: We used a large, multinational cohort study (GLOW) to investigate the effect of co-morbidities on fracture risk. Women completed a baseline questionnaire detailing past medical history, including co-morbidity history and fracture. They were re-contacted annually to determine incident clinical fractures. A co-morbidity index, defined as number of baseline co-morbidities, was derived. The effect of adding the co-morbidity index to FRAX risk factors on fracture prevention was examined using chi-squared tests, the May-Hosmer test, c index and comparison of predicted versus observed fracture rates. RESULTS: Of 52,960 women with follow-up data, enrolled between October 2006 and February 2008, 3224 (6.1%) sustained an incident fracture over 2 years. All recorded co-morbidities were significantly associated with fracture, except for high cholesterol, hypertension, celiac disease, and cancer. The strongest association was seen with Parkinson's disease (age-adjusted hazard ratio [HR]: 2.2; 95% CI: 1.6-3.1; P<0.001). Co-morbidities that contributed most to fracture prediction in a Cox regression model with FRAX risk factors as additional predictors were: Parkinson's disease, multiple sclerosis, chronic obstructive pulmonary disease, osteoarthritis, and heart disease. CONCLUSION: Co-morbidities, as captured in a co-morbidity index, contributed significantly to fracture risk in this study population. Parkinson's disease carried a particularly high risk of fracture; and increasing co-morbidity index was associated with increasing fracture risk. Addition of co-morbidity index to FRAX risk factors improved fracture prediction.
Authors: M C Nevitt; S R Cummings; W S Browner; D G Seeley; J A Cauley; T M Vogt; D M Black Journal: Am J Epidemiol Date: 1992-03-01 Impact factor: 4.897
Authors: C L Gregson; E M Dennison; J E Compston; S Adami; J D Adachi; F A Anderson; S Boonen; R Chapurlat; A Díez-Pérez; S L Greenspan; F H Hooven; A Z LaCroix; J W Nieves; J C Netelenbos; J Pfeilschifter; M Rossini; C Roux; K G Saag; S Silverman; E S Siris; N B Watts; A Wyman; C Cooper Journal: Osteoporos Int Date: 2013-07-25 Impact factor: 4.507
Authors: A Balasubramanian; S W Wade; R A Adler; C J F Lin; M Maricic; C D O'Malley; K Saag; J R Curtis Journal: Osteoporos Int Date: 2016-06-08 Impact factor: 4.507
Authors: Michael A Clynes; Nicholas C Harvey; Elizabeth M Curtis; Nicholas R Fuggle; Elaine M Dennison; Cyrus Cooper Journal: Br Med Bull Date: 2020-05-15 Impact factor: 4.291