Laboratory evaluation of secondary causes of bone loss in Veterans with spinal cord injury and disorders.

An electronic health record (eHR) review of Veterans with a spinal cord injury and disorder (SCI/D) was conducted to understand the extent to which Veterans Affairs (VA) providers pursue workups for secondary causes of osteoporosis in this population. Laboratory tests for secondary causes were ordered in only one-third of Veterans, with secondary causes identified in two-thirds of those tested, most frequently, hypogonadism and hypovitaminosis D. PURPOSE: To identify workups for secondary causes of osteoporosis in SCI/D and the extent to which subspecialty consultations are sought. METHODS: A total of 3018 prescriptions for an osteoporosis medication (bisphosphonate, calcitonin, denosumab, raloxifene, teriparatide) among 2675 Veterans were identified in fiscal years 2005-2015 from VA administrative databases. Approximately 10% of these prescriptions were selected for eHR review. RESULTS: eHR records of 187 Veterans with a SCI/D who had received pharmacological treatment for osteoporosis were reviewed. Workups for secondary causes of osteoporosis were performed in 31.5% of Veterans (n = 59) with approximately 64.4% of those tested (n = 38) having at least one abnormality. Hypogonadism (52.0% of those tested) and hypovitaminosis D (50.0% of those tested) were the most common secondary causes of osteoporosis identified in this population. Approximately 10% of primary care and SCI providers consulted subspecialists for further evaluation and treatment of osteoporosis. Endocrinologists more frequently performed a workup for secondary causes of osteoporosis compared to other provider specialties. CONCLUSIONS: Screening for secondary causes of osteoporosis, particularly for hypogonadism and hypovitaminosis D, should be considered in patients with a SCI/D.

Correlates of self-reported physical function in individuals with spinal cord injuries and disorders: does self-efficacy matter?

STUDY DESIGN: Data were collected via a cross-sectional mailed survey with Veterans with spinal cord injury and disorders (SCI/D). OBJECTIVES: To examine self-efficacy in Veterans with SCI/D reporting high versus low perceptions of physical function. SETTING: Department of Veterans Affairs (VA) Spinal Cord Injury System of Care-nation-wide, 24 Spinal Cord Injury (SCI) Centers. METHODS: The survey provided patient-reported data on demographic and injury characteristics, basic mobility and fine motor function, and perceived self-efficacy. Bivariate comparisons were conducted to compare perceptions of self-efficacy between Veterans with SCI/D reporting perceptions of 'high' versus 'low' basic mobility and fine motor function. A multivariate logistic regression was conducted to identify factors independently associated with high physical function when controlling for covariates. RESULTS: Response rate (896/1452=61.7%). Multivariate analysis showed that age (odds ratio (OR)=0.98, 95% confidence interval (CI): 0.96-1.00, P=0.03), tetraplegia (OR=0.20, 95% CI: 0.13-0.32, P⩽0.0001), diabetes (OR=0.53, 95% CI: 0.31-0.91, P=0.02), depression (OR=0.62, 95% CI: 0.39-0.98, P=0.04) and pressure ulcers (OR=0.42, 95% CI: 0.25-0.72, P=0.001) were all independently associated with lower odds of high physical function. When controlling for covariates, persons with high self-efficacy were nearly two times more likely to have high physical function (OR=1.98, 95% CI: 1.22-3.22, P=0.01). CONCLUSION: Lower perceptions of basic mobility and fine motor function among individuals with SCI/D were correlated with lower self-efficacy, even when controlling for other covariates. The relationship between physical function and self-efficacy suggests that interventions focused on improving self-efficacy or physical function may also see improvements in the other. Further, studies exploring the impact of interventions on the relationship between self-efficacy and physical function are needed to understand the relationship between the two.

Dual-energy X-ray absorptiometry and fracture prediction in patients with spinal cord injuries and disorders.

Low T-scores at the hip predict incident fractures in persons with a SCI. INTRODUCTION: Persons with a spinal cord injury (SCI) have substantial morbidity and mortality following osteoporotic fractures. The objective of this study was to determine whether dual-energy X-ray absorptiometry (DXA) measurements predict osteoporotic fractures in this population. METHODS: A retrospective historical analysis that includes patients (n = 552) with a SCI of at least 2 years duration who had a DXA performed and were in the VA Spinal Cord Disorders Registry from fiscal year (FY) 2002-2012 was performed. RESULTS: The majority of persons (n = 455, 82%) had a diagnosis of osteoporosis or osteopenia, with almost half having osteoporosis. BMD and T-scores at the lumbar spine were not significantly associated with osteoporotic fractures (p > 0.48) for both. In multivariable analyses, osteopenia (OR = 4.75 95% CI 1.23-17.64) or osteoporosis (OR = 4.31, 95% CI 1.15-16.23) compared with normal BMD was significantly associated with fractures and higher T-scores at the hip were inversely associated with fractures (OR 0.73 (95% CI 0.57-0.92)). There was no significant association of T-scores or World Health Organization (WHO) classification with incident fractures in those with complete SCI (p > 0.15 for both). CONCLUSION: The majority (over 80%) of individuals with a SCI have osteopenia or osteoporosis. DXA-derived measurements at the hip, but not the lumbar spine, predict fracture risk in persons with a SCI. WHO-derived bone density categories may be useful in classifying fracture risk in persons with a SCI.

Risk factors for osteoporotic fractures in persons with spinal cord injuries and disorders.

UNLABELLED: Clinical risk factors for fracture were explored among Veterans with a spinal cord injury. At the end of 11 years of follow-up, the absolute risk of fracture was approximately 20 %. Among the clinical and SCI-related factors explored, a prior history of fracture was strongly associated with incident fracture. INTRODUCTION: Few studies to date have comprehensively addressed clinical risk factors for fracture in persons with spinal cord injury (SCI). The purpose of this study was to identify risk factors for incident osteoporotic fractures in persons with a SCI that can be easily determined at the point of care. METHODS: The Veteran's Affairs Spinal Cord Dysfunction Registry, a national database of persons with a SCI, was used to examine clinical and SCI-related risk factors for fracture. Incident fractures were identified in a cohort of persons with chronic SCI, defined as SCI present for at least 2 years. Cox regression models were used to estimate the risk of incident fractures. RESULTS: There were 22,516 persons with chronic SCI included in the cohort with 3365 incident fractures. The mean observational follow-up time for the overall sample was 6.2 years (median 6.0, IQR 2.9-11.0). The mean observational follow-up time for the fracture group was 3.9 years (median 3.3, IQR 1.4-6.1) and 6.7 years (median 6.7, IQR 3.1-11.0) for the nonfracture group. By the end of the study, which included predominantly older Veterans with a SCI observed for a relatively short period of time, the absolute (i.e., cumulative hazard) for incident fractures was 0.17 (95%CI 0.14-0.21). In multivariable analysis, factors associated with an increased risk of fracture included White race, traumatic etiology of SCI, paraplegia, complete extent of SCI, longer duration of SCI, use of anticonvulsants and opioids, prevalent fractures, and higher Charlson Comorbidity Indices. Women aged 50 and older were also at higher risk of sustaining an incident fracture at any time during the 11-year follow-up period. CONCLUSIONS: There are multiple clinical and SCI-related risk factors which can be used to predict fracture in persons with a SCI. Clinicians should be particularly concerned about incident fracture risk in persons with a SCI who have had a previous fracture.

Hypertension and antihypertensive treatment in veterans with spinal cord injury and disorders.

OBJECTIVES: Hypertension (HTN) is an important risk factor for cardiovascular disease, a major cause of morbidity and mortality among people with spinal cord injury and disorders (SCI/D). Our study examined prevalence, associated factors, and pharmacological treatment of HTN in Veterans with SCI/D compared with a matched control group. METHODS: A retrospective review was conducted of Veterans with traumatic SCI/D (TSCI/D; n=6672), non-traumatic SCI/D (NTSCI/D; n=3566) and a matched, non-injured cohort. RESULTS: Over half of patients with TSCI/D (56.6%) had HTN, compared with 68.4% of matched controls (P<0.001). Paraplegic and tetraplegic Veterans with TSCI/D had significantly lower odds of having a HTN diagnosis compared with control (odds ratios (OR)=0.84 (0.77-0.91); OR=0.38 (0.35-0.42)). About 71.8% of patients with NTSCI/D had HTN compared with 72.3% of matched controls (P>0.05). Paraplegic and tetraplegic Veterans with NTSCI/D did not have significantly different odds of a HTN diagnosis compared with control (OR=0.92 (0.79-1.05); OR=0.85 (0.71-1.01)). Adjusted analysis indicates that Veterans with tetraplegia and HTN were less likely to receive antihypertensive therapy (TSCI/D, OR=0.62 (0.53-0.71); NTSCI/D, OR=0.81 (0.66-0.99)). CONCLUSION: HTN appears to be more prevalent in SCI/D Veterans than previously reported. TSCI/D Veterans have a significantly lower prevalence of HTN whereas NTSCI/D Veterans have a comparable prevalence of HTN to those without SCI/D. The level of injury (tetraplegia vs paraplegia) has a large impact on the prevalence of HTN in the traumatic cohort. Subsequent antihypertensive therapy is used less in both TSCI/D and NTSCI/D Veterans with tetraplegia and more in TSCI/D Veterans with paraplegia.

Dysfunctional sleep in persons with spinal cord injuries and disorders.

STUDY DESIGN: Cross-sectional survey of veterans with spinal cord injuries and disorders (SCI/D). OBJECTIVES: To describe sleep dysfunction (independent of sleep apnea) in persons with traumatic and non-traumatic SCI/D, and to examine characteristics and health outcomes independently associated with sleep dysfunction unrelated to sleep apnea. SETTING: Seven Veterans Affairs SCI care facilities in the United States. METHODS: Mailed cross-sectional survey with follow-up calls completed by end of 2008. Bivariate analyses to compare measures outcomes in persons with SCI/D who were dysfunctional sleepers vs those who were not. Multivariate logistic regression used to identify variables independently associated with dysfunctional sleep in veterans with SCI/D. RESULTS: Overall, 49% of the sample had sleep dysfunction unrelated to sleep apnea. In this subgroup, bivariate analyses showed that a greater proportion of dysfunctional sleepers than non-dysfunctional sleepers were current smokers, had problems with drinking alcohol, hypertension, asthma, chronic obstructive pulmonary disease (COPD) and problematic weight gain. Variables independently associated with higher odds of dysfunctional sleep included white race, being a current smoker, problems with drinking alcohol, asthma, COPD and problematic weight gain. CONCLUSION: Consistent with epidemiological evidence for the general population, we found significant associations of sleep dysfunction with weight gain, smoking, alcohol misuse and select chronic conditions (COPD, asthma). Sustained sleep dysfunction may contribute to health deterioration and mortality, highlighting the need to address the high prevalence of sleep dysfunction (independent of sleep apnea) in persons with SCI/D. In particular, efforts aimed at modifying problematic weight gain, alcohol misuse and smoking are warranted in this cohort to improve sleep.

Using Department of Veterans Affairs Administrative databases to examine long-term care utilization for men and women veterans.

We examined long-term care (LTC) utilization by male and female veterans using administrative databases maintained by VA. Research questions included: (1) Which LTC services are utilized? (2) Do utilization patterns of older veterans differ from those of elderly persons in the general U.S. population? (3) Do LTC needs of veterans vary by gender? We were unable to track LTC utilization of individuals across administrative databases. Some databases could only provide information at the national level, or alternatively, were available only at local facilities, or only at the patient or program-level data--making it impossible to get a clear picture of all the services received by an individual. Those planning to use administrative databases to conduct research must: (1) take more time than expected; (2) be flexible/willing to compromise, (3) "ferret out" information, and (4) recognize that because of dynamism inherent in information systems, results may change over time.