Background

Vertebral fractures (VFx) are the most common osteoporotic fracture and are associated with higher risk of impaired function, additional fractures and death. The purpose of this analysis was to test the hypotheses that VFx are also associated with greater inpatient healthcare utilization.

Methods

We studied 4709 Caucasian women enrolled in the Study of Osteoporotic Fractures (SOF) and merged SOF cohort data with Medicare claims or Kaiser encounter data. To be included in this analysis, women had to be enrolled in Medicare Fee for Service or Kaiser as of 1/1/1991 and have radiographic information on VFx status at SOF Visit 3 (1991-92). VFx status was assessed using quantitative morphometry on lateral thoracic and lumbar spine radiographs. Prevalent VFx were defined as any height ratio>3 standard deviations below normal. Women were considered to have a clinical VFx if they reported a new diagnosis of VFx and a clinical radiographic report that confirmed that a VFx was present. Any hospitalization and the number of annualized days of hospitalization were identified through inpatient claims or encounter data. Specific hospitalizations for 5 major common reasons for hospitalizations were also examined.

Results

Over 5-years, 2632 (55.9%) women were hospitalized. In multivariate adjusted models, women with a prevalent radiographic VFx were 21% (95% CI, 2-44%) more likely to be hospitalized for any reason. This association was independent of a number of risk factors including smoking. The annualized rate of inpatient day was, however, similar, 1.67 and 1.48 among women with and without a VFx, respectively, p=0.49. Women with an incident clinical VFx were more likely to be hospitalized including women without evidence of a prevalent radiographic VFx (odds ratio (OR)=5.33; 95% confidence interval (CI)=1.81-15.71) and women with a prevalent radiographic VFx (OR=2.13; 95% CI, 1.05-4.33). Women with a VFx were more likely to be hospitalized specifically for hip fracture or chronic obstructive pulmonary disease (COPD) but not stroke, myocardial infarction or congestive heart failure. The association with COPD was attenuated to non-significance after adjusting for smoking.

Conclusion

Our results extend the potential public health impact of radiographic and clinical VFx to include an increased risk of any hospitalization.

Background

Results of prospective studies examining the association between 25 hydroxyvitamin D (25[OH]D) levels and cognitive decline have been inconsistent. We tested the hypothesis that lower 25(OH)D levels are associated with a greater likelihood of cognitive impairment and risk of cognitive decline.

Methods

The study is a cross-sectional and longitudinal analysis of a prospective cohort of 6,257 community-dwelling elderly women followed for 4 years. Global cognitive function was measured by the Modified Mini-Mental State Examination and executive function was measured by Trail Making Test Part B (Trails B). Cognitive impairment at baseline was defined as a score >1.5 SD below the sample mean; cognitive decline was defined as decline from baseline to follow-up >1 SD from mean change in score.

Results

Women with very low vitamin D levels had an increased odds of global cognitive impairment at baseline: odds ratio (95% confidence interval), 1.60 (1.05-2.42) for women with 25(OH)D <10 ng/mL (25 nmol/L) compared with those with 25(OH)D levels ≥30 ng/mL (75 nmol/L). Compared with women with baseline 25(OH)D level ≥30 ng/mL (75 nmol/L), women with lower levels had an increased risk of global cognitive decline: odds ratio (95% confidence interval), 1.58(1.12-2.22) for women with levels <10 ng/mL (25 nmol/L), and 1.31 (1.04-1.64) for those with levels 10-19.9 ng/mL (25-49 nmol/L). Levels of 25(OH)D were not associated with executive cognitive function.

Conclusions

Low 25(OH)D levels among older women were associated with a higher odds of global cognitive impairment and a higher risk of global cognitive decline.

To test the hypothesis that older women with higher cystatin C are at increased risk of hip fracture independent of traditional risk factors including hip bone mineral density (BMD), we performed a case-cohort analysis nested in a cohort of 4709 white women attending a Year 10 (1997-1998) examination of the Study of Osteoporotic Fractures that included a random sample of 1170 women and the first 300 women with incident hip fracture occurring after Year 10 examination. Serum cystatin C and creatinine were measured in Year 10 sera. In a model adjusted for age, clinical site, body mass index, and total hip BMD, higher cystatin C was associated with an increased risk of hip fracture (p for linear trend 0.008) with women in quartile 4 having a 1.9-fold higher risk (hazard ratio [HR] 1.91; 95% confidence interval [CI], 1.24-2.95) compared with those in quartile 1 (referent group). Further adjustment for additional risk factors only slightly attenuated the association; the risk for hip fracture was 1.7-fold higher (HR 1.74; 95% CI, 1.11-2.72) in women in quartile 4 compared with those in quartile 1. In contrast, neither serum creatinine nor creatinine-based estimated glomerular filtration rate (eGFRCr ) were associated with risk of hip fracture. Older women with higher cystatin C, but not higher serum creatinine or lower eGFRCr , have an increased risk of hip fracture independent of traditional risk factors. These findings suggest that cystatin C may be a promising biomarker for identification of older adults at high risk of hip fracture.

Background

The association between various definitions of sarcopenia and hospitalization has not been evaluated in community-dwelling older men.

Methods

We used data from 1,516 participants at Visit 3 of the Osteoporotic Fractures in Men (MrOS) study who also had linked Medicare Fee-For-Service Claims data available. We examined the association between several sarcopenia definitions (International Working Group, European Working Group for Sarcopenia in Older Persons, Foundation for the NIH Sarcopenia Project, Baumgartner, and Newman) and hospitalization, using two-part ("hurdle") models, adjusted for age, clinical center, functional limitations, self-reported health, comorbidity, and cognitive function. Predictors included sarcopenia status (the summary definitions and the components of slowness, weakness, and/or lean mass); outcomes included hospitalization and cumulative inpatient days/year in the 3 years following the Visit 3 exam.

Results

After accounting for confounding factors, none of the summary definitions or the definition components (slowness, weakness, or low lean mass) were associated with likelihood of hospitalization, the rate ratio of inpatient days among those hospitalized, or the mean rate of inpatient days amongst all participants.

Conclusions

Sarcopenia was not associated hospitalization in community-dwelling older men. These results provide further evidence that current sarcopenia definitions are unlikely to identify those who are most likely to have greater hospitalization.

The association of weight loss with health care costs among older women is uncertain. Our study aim was to examine the association of objectively measured weight change with subsequent total health care (THC) costs and other health care utilization among older women. Our study population included 2,083 women (mean age 80.2 years) enrolled in the Study of Osteoporotic Fractures and U.S. Medicare Fee for Service. Weight loss and gain were defined, respectively, as ≥5% decrease and ≥5% increase in body weight, and weight maintenance as <5% change in body weight over a period of 4.5 years. THC costs, outpatient costs, hospitalizations, and skilled nursing facility [SNF] utilization were estimated from Medicare claims for 1 year after the period during which weight change was measured. The associations of weight change with THC and outpatient costs were estimated using generalized linear models with gamma variance and log link functions, and with hospitalizations and SNF utilization using logistic models. Adjusted for age and current body mass index (BMI), weight loss compared with weight maintenance was associated with a 35% increase in THC costs ($2148 [95% CI, 745 to 3552], 2014 U.S. dollars), a 15% increase in outpatient costs ($329 [95% C.I. -1 to 660]), and odds ratios of 1.42 (95% CI, 1.14 to 1.76) for ≥1 hospital stay and 1.45 (95% CI, 1.03 to 2.03) for ≥1 SNF stay. These associations did not vary by BMI category. After additional adjustment for multi-morbidity and functional status, associations of weight loss with all four outcomes were no longer significant. In conclusion, ≥5% weight loss among older women is not associated with increased THC and outpatient costs, hospitalization, and SNF utilization, irrespective of BMI category after accounting for multi-morbidity and impaired functional status that accompany weight loss.

Background

Although older adults are disproportionately affected by painful musculoskeletal conditions and receive more opioid analgesics than persons in other age groups, insufficient evidence is available regarding opioid harms in this age group.

Objective

To examine longitudinal relationships between opioid use and falls, clinical fractures, and changes in physical performance. We hypothesized that opioid use would be associated with greater risks of falling and incident clinical fractures and greater declines in physical performance.

Design

We analyzed data from the Osteoporotic Fractures in Men Study (MrOS), a large prospective longitudinal cohort study. Participants completed baseline visits from 2000 to 2002 and were followed for 9.1 (SD 4.0) years.

Participants

MrOS enrolled 5994 community-dwelling men ≥ 65 years of age. The present study included 2902 participants with back, hip, or knee pain most or all of the time at baseline.

Main measures

The exposure of interest was opioid use, defined at each visit as participant-reported daily or near-daily use of any opioid-containing analgesic. Among patients, 309 (13.4 %) reported opioid use at one or more visits. Participants were queried every 4 months about falls and fractures. Physical performance scores were derived from tests of grip strength, chair stands, gait speed, and dynamic balance.

Key results

In the main analysis, the adjusted risk of falling did not differ significantly between opioid use and non-use groups (RR 1.10, 95% CI 0.99, 1.24). Similarly, adjusted rates of incident clinical fracture did not differ between groups (HR 1.13, 95% CI 0.94, 1.36). Physical performance was worse at baseline for the opioid use group, but annualized change in physical performance scores did not differ between groups (-0.022, 95% CI -0.138, 0.093).

Conclusions

Additional research is needed to determine whether opioid use is a marker of risk or a cause of falls, fractures, and progressive impairment among older adults with persistent pain.

Objectives

To determine whether slow gait speed increases the risk of costly long-term nursing home residence when accounting for death as a competing risk remains unknown.

Design

Longitudinal cohort study using proportional hazards models to predict long-term nursing home residence and subdistribution models with death as a competing risk.

Setting

Community-based prospective cohort study.

Participants

Older women (mean age 76.3) participating in the Study of Osteoporotic Fractures who were also enrolled in Medicare fee-for-service plans (N = 3,755).

Measurements

Gait speed was measured on a straight 6-m course and averaged over two trials. Long-term nursing home residence was defined using a validated algorithm based on Medicare Part B claims for nursing home-related care.

Results

Participants were followed until long-term nursing home residence, disenrollment from Medicare plan, death, or December 31, 2010. Over the follow-up period (median 11 years), 881 participants (23%) experienced long-term nursing home residence, and 1,013 (27%) died before experiencing this outcome. Slow walkers (55% of participants with gait speed <1 m/s) were significantly more likely than fast walkers to reside in a nursing home long-term (adjusted hazards ratio (aHR) = 1.79, 95% confidence interval (CI) = 1.54-2.09). Associations were attenuated in subdistribution models (aHR = 1.52, 95% CI = 1.30-1.77) but remained statistically significant.

Conclusion

Older community-dwelling women with slow gait speed are more likely to experience long-term nursing home residence, as well as mortality without long-term residence. Ignoring the competing mortality risk may overestimate long-term care needs and costs.

Background

This study examines the effects of mobility and cognition on mortality risk in women late in life.

Methods

A prospective study was conducted among 1,495 women (mean age 87.6 years) participating in the Study of Osteoporotic Fractures Year 20 examination (2006-2008). Mobility (ascertained by Short Physical Performance Battery [SPPB]) was categorized as poor (SPPB 0-3, n = 312), intermediate (SPPB 4-9, n = 799), or good (SPPB 10-12, n = 384). Cognitive status (adjudicated based on neuropsychological tests) was classified as normal (n = 873), mild cognitive impairment (n = 354), or dementia (n = 268). Deaths (n = 749) were identified from Year 20 through July 31, 2014 (average follow-up 4.9 years).

Results

There was not strong evidence of an interaction between mobility and cognition for prediction of mortality risk (p interaction term .16). Compared to women with good mobility, mortality risks were increased among women with intermediate mobility (hazard ratio [HR] 1.26, 95% confidence interval [CI] 1.02-1.57) and those with poor mobility (HR 1.64, 95% CI 1.24-2.16) after consideration of cognition and other mortality risk factors. Similarly, mortality risks were higher among women with mild cognitive impairment (HR 1.46, 95% CI 1.21-1.76) and those with dementia (HR 1.88, 95% CI 1.54-2.31) compared to women with normal cognition after consideration of mobility and other mortality risk factors.

Conclusions

Among women late in life, 5-year mortality risk was substantially increased among women with deficits in mobility even after accounting for cognition and traditional prognostic indicators. Similarly, deficits in cognition were associated with increased 5-year mortality despite consideration of mobility and conventional risk factors.

BACKGROUND:To examine the associations between objective physical activity measures and subsequent health care utilization. METHODS:We studied 1,283 men (mean age 79.1 years, SD 5.3) participating in the Osteoporotic Fractures in Men Study. Participants wore a SenseWear® Pro Armband monitor for 1 week. Data was summarized as daily (i) step counts, (ii) total energy expenditure, (iii) active energy expenditure, and (iv) activity time (sedentary, ≥ light, ≥ moderate). The outcome measures of 1-year hospitalizations/duration of stay from Medicare data were analyzed with a two-part hurdle model. Covariates included age, clinical center, body mass index, marital status, depressive symptoms, medical conditions, cognitive function, and prior hospitalization. RESULTS:Each 1 SD = 3,092 step increase in daily step count was associated with a 34% (95% confidence interval [CI]: 19%-46%) lower odds of hospitalization in base model (age and center) and 21% (95% CI: 4%-35%) lower odds of hospitalization in fully adjusted models. Similar but smaller associations held for other physical activity measures, but these associations were not significant in fully adjusted models. Among those hospitalized, higher step count was associated with shorter total duration of acute/postacute care stays in the base model only. There was a fourfold significant difference (from model-based estimates) in predicted care days comparing those with 2,000 versus 10,000 daily steps in the base model, but only a twofold difference (not significant) in the full model. CONCLUSION:Daily step count is an easily determined measure of physical activity that may be useful in assessment of future health care burden in older men.