Julie M. Flahive

Obesity is not protective against fracture in postmenopausal women: GLOW

OBJECTIVE To investigate the prevalence and incidence of clinical fractures in obese, postmenopausal women enrolled in the Global Longitudinal study of Osteoporosis in Women (GLOW). METHODS This was a multinational, prospective, observational, population-based study carried out by 723 physician practices at 17 sites in 10 countries. A total of 60,393 women aged ≥ 55 years were included. Data were collected using self-administered questionnaires that covered domains that included patient characteristics, fracture history, risk factors for fracture, and anti-osteoporosis medications. RESULTS Body mass index (BMI) and fracture history were available at baseline and at 1 and 2 years in 44,534 women, 23.4% of whom were obese (BMI ≥ 30 kg/m(2)). Fracture prevalence in obese women at baseline was 222 per 1000 and incidence at 2 years was 61.7 per 1000, similar to rates in nonobese women (227 and 66.0 per 1000, respectively). Fractures in obese women accounted for 23% and 22% of all previous and incident fractures, respectively. The risk of incident ankle and upper leg fractures was significantly higher in obese than in nonobese women, while the risk of wrist fracture was significantly lower. Obese women with fracture were more likely to have experienced early menopause and to report 2 or more falls in the past year. Self-reported asthma, emphysema, and type 1 diabetes were all significantly more common in obese than nonobese women with incident fracture. At 2 years, 27% of obese women with incident fracture were receiving bone protective therapy, compared with 41% of nonobese and 57% of underweight women. CONCLUSIONS Our results demonstrate that obesity is not protective against fracture in postmenopausal women and is associated with increased risk of ankle and upper leg fractures.

Relationship of Weight, Height, and Body Mass Index with Fracture Risk at Different Sites in Postmenopausal Women: The Global Longitudinal study of Osteoporosis in Women (GLOW)

Low body mass index (BMI) is a well‐established risk factor for fracture in postmenopausal women. Height and obesity have also been associated with increased fracture risk at some sites. We investigated the relationships of weight, BMI, and height with incident clinical fracture in a practice‐based cohort of postmenopausal women participating in the Global Longitudinal study of Osteoporosis in Women (GLOW). Data were collected at baseline and at 1, 2, and 3 years. For hip, spine, wrist, pelvis, rib, upper arm/shoulder, clavicle, ankle, lower leg, and upper leg fractures, we modeled the time to incident self‐reported fracture over a 3‐year period using the Cox proportional hazards model and fitted the best linear or nonlinear models containing height, weight, and BMI. Of 52,939 women, 3628 (6.9%) reported an incident clinical fracture during the 3‐year follow‐up period. Linear BMI showed a significant inverse association with hip, clinical spine, and wrist fractures: adjusted hazard ratios (HRs) (95% confidence intervals [CIs]) per increase of 5 kg/m2 were 0.80 (0.71–0.90), 0.83 (0.76–0.92), and 0.88 (0.83–0.94), respectively (all p < 0.001). For ankle fractures, linear weight showed a significant positive association: adjusted HR per 5‐kg increase 1.05 (1.02–1.07) (p < 0.001). For upper arm/shoulder and clavicle fractures, only linear height was significantly associated: adjusted HRs per 10‐cm increase were 0.85 (0.75–0.97) (p = 0.02) and 0.73 (0.57–0.92) (p = 0.009), respectively. For pelvic and rib fractures, the best models were for nonlinear BMI or weight (p = 0.05 and 0.03, respectively), with inverse associations at low BMI/body weight and positive associations at high values. These data demonstrate that the relationships between fracture and weight, BMI, and height are site‐specific. The different associations may be mediated, at least in part, by effects on bone mineral density, bone structure and geometry, and patterns of falling.

Effect of co-morbidities on fracture risk: Findings from the Global Longitudinal Study of Osteoporosis in Women (GLOW)

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 Parkinsons 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: Parkinsons 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. Parkinsons 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.

Previous fractures at multiple sites increase the risk for subsequent fractures: the Global Longitudinal Study of Osteoporosis in Women.

Previous fractures of the hip, spine, or wrist are well‐recognized predictors of future fracture, but the role of other fracture sites is less clear. We sought to assess the relationship between prior fracture at 10 skeletal locations and incident fracture. The Global Longitudinal Study of Osteoporosis in Women (GLOW) is an observational cohort study being conducted in 17 physician practices in 10 countries. Women aged ≥55 years answered questionnaires at baseline and at 1 and/or 2 years (fractures in previous year). Of 60,393 women enrolled, follow‐up data were available for 51,762. Of these, 17.6%, 4.0%, and 1.6% had suffered 1, 2, or ≥3 fractures, respectively, since age 45 years. During the first 2 years of follow‐up, 3149 women suffered 3683 incident fractures. Compared with women with no previous fractures, women with 1, 2, or ≥3 prior fractures were 1.8‐, 3.0‐, and 4.8‐fold more likely to have any incident fracture; those with ≥3 prior fractures were 9.1‐fold more likely to sustain a new vertebral fracture. Nine of 10 prior fracture locations were associated with an incident fracture. The strongest predictors of incident spine and hip fractures were prior spine fracture (hazard ratio [HR] = 7.3) and hip (HR = 3.5). Prior rib fractures were associated with a 2.3‐fold risk of subsequent vertebral fracture, and previous upper leg fracture predicted a 2.2‐fold increased risk of hip fracture. Women with a history of ankle fracture were at 1.8‐fold risk of future fracture of a weight‐bearing bone. Our findings suggest that a broad range of prior fracture sites are associated with an increased risk of incident fractures, with important implications for clinical assessments and risk model development.

Predicting fractures in an international cohort using risk factor algorithms without BMD

Clinical risk factors are associated with increased probability of fracture in postmenopausal women. We sought to compare prediction models using self‐reported clinical risk factors, excluding BMD, to predict incident fracture among postmenopausal women. The GLOW study enrolled women aged 55 years or older from 723 primary‐care practices in 10 countries. The population comprised 19,586 women aged 60 years or older who were not receiving antiosteoporosis medication and were followed annually for 2 years. Self‐administered questionnaires were used to collect data on characteristics, fracture risk factors, previous fractures, and health status. The main outcome measure compares the C index for models using the WHO Fracture Risk (FRAX), the Garvan Fracture Risk Calculator (FRC), and a simple model using age and prior fracture. Over 2 years, 880 women reported incident fractures including 69 hip fractures, 468 “major fractures” (as defined by FRAX), and 583 “osteoporotic fractures” (as defined by FRC). Using baseline clinical risk factors, both FRAX and FRC showed a moderate ability to correctly order hip fracture times (C index for hip fracture 0.78 and 0.76, respectively). C indices for “major” and “osteoporotic” fractures showed lower values, at 0.61 and 0.64. Neither algorithm was better than the model based on age + fracture history alone (C index for hip fracture 0.78). In conclusion, estimation of fracture risk in an international primary‐care population of postmenopausal women can be made using clinical risk factors alone without BMD. However, more sophisticated models incorporating multiple clinical risk factors including falls were not superior to more parsimonious models in predicting future fracture in this population.

Surgeon Volume and Elective Resection for Colon Cancer: An Analysis of Outcomes and Use of Laparoscopy

BACKGROUND Surgeon volume may be an important predictor of quality and cost outcomes. We evaluated the association between surgeon volume and quality and cost of surgical care in patients with colon cancer. STUDY DESIGN We performed a retrospective study of patients who underwent resection for colon cancer, using data from the University HealthSystem Consortium from 2008 to 2011. Outcomes evaluated included use of laparoscopy, ICU admission, postoperative complications, length of stay, and total direct hospital costs by surgeon volume. Surgeon volume was categorized according to high (HVS), medium (MVS), and low (LVS) average annual volumes. RESULTS A total of 17,749 patients were included in this study. The average age of the cohort was 65 years and 51% of patients were female. After adjustment for potential confounders, compared with LVS, HVS and MVS were more likely to use laparoscopy (HVS, odds ratio [OR] 1.27, 95% CI 1.15, 1.39; MVS, OR 1.16 95% CI 1.65, 1.26). Postoperative complications were significantly lower in patients operated on by HVS than LVS (OR 0.77 95% CI 0.76, 0.91). The HVS patients were less likely to require reoperation than those in the LVS group (OR 0.70, 95% CI 0.53, 0.92) Total direct costs were

Clinical and financial impact of hospital readmissions after colorectal resection: predictors, outcomes, and costs.

927 (95% CI -

Contemporary trends in necrotizing soft-tissue infections in the United States

1,567 to -

In patients stratified by preoperative risk, endovascular repair of ruptured abdominal aortic aneurysms has a lower in-hospital mortality and morbidity than open repair

287) lower in the HVS group compared with the LVS group. CONCLUSIONS Higher quality, lower cost care was achieved by HVS in patients undergoing surgery for colon cancer. An assessment of differences in processes of care by surgeon volume may help further define the mechanism for this observed association.

Characteristics associated with anti-osteoporosis medication use. Data from the Global Longitudinal Study of Osteoporosis in Women (GLOW) USA cohort

BACKGROUND:After passage of the Affordable Care Act, 30 -day hospital readmissions have come under greater scrutiny. Excess readmissions for certain medical conditions and procedures now result in penalizations on all Medicare reimbursements. OBJECTIVE:The purpose of this work was to define the risk factors, outcomes, and costs of 30-day readmissions after colorectal surgery. DESIGN:Adults undergoing colorectal surgery were studied using data from the University HealthSystem Consortium. Univariate and multivariable analyses were used to identify patient-related risk factors for, and 30-day outcomes of, readmission after colorectal surgery. SETTINGS:This study was conducted at an academic hospital and its affiliates. PATIENTS:Adults ≥18 years of age who underwent colorectal surgery for cancer, diverticular disease, IBD, or benign tumors between 2008 and 2011 were included in this study. MAIN OUTCOME MEASURES:Readmission within 30 days of index discharge was the main outcome measured. RESULTS:A total of 70,484 patients survived the index hospitalization after colorectal surgery; 9632 (13.7%) were readmitted within 30 days of discharge. The strongest independent predictors of readmission were length of stay ≥4 days (OR 1.44; 95% CI 1.32–1.57), stoma (OR 1.54; 95% CI 1.46–1.51), and discharge to skilled nursing (OR 1.62; 95% CI 1.49–1.76) or rehabilitation facility (OR 2.93; 95% CI 2.53–3.40). Of those readmitted, half of the readmissions occurred within 7 days, 13% required the intensive care unit, 6% had a reoperation, and 2% died during the readmission stay. The median combined total direct hospital cost was more than 2 times higher (