Algorithms can be used to identify fragility fracture cases in physician-claims databases

Comparative effectiveness of romosozumab versus teriparatide for fracture prevention: A new-user, active comparator design

BACKGROUND

Comparative evidence on the effectiveness of romosozumab and teriparatide in preventing osteoporotic fractures remains limited. This study evaluated their effectiveness in fracture prevention.

METHODS

This observational new-user cohort study used the DeSC Healthcare database, a nationwide claims database in Japan. Patients aged ≥40 years with osteoporosis, defined by International Classification of Diseases, 10th Revision codes or prior fragility fractures, who newly initiated romosozumab or teriparatide between March 2019 and August 2021 were included. The primary outcome was the major osteoporotic fractures within 1 year. Secondary outcomes included 2-years fracture incidence and individual fracture types. Cox proportional hazards models, weighted by inverse probability-of-treatment derived from propensity scores, were used to estimate hazard ratios (HRs) with 95 % confidence intervals (CIs), accounting for patient- and facility-level confounders.

RESULTS

Among 35,547 observations (romosozumab: 9603; teriparatide: 25,944), the mean ages were 80.3 and 80.0 years, 85.2 % and 81.3 % were women, and 64.4 % and 71.9 % had a history of fragility fracture, respectively. The 1-year incidences of major osteoporotic fractures were 10.14 per 100 person-years (teriparatide) and 7.01 per 100 person-years (romosozumab) (HR: 0.80, 95 % CI: 0.71, 0.89). Romosozumab was also associated with lower rates of composite fractures over 2 years (HR: 0.81, 95 % CI: 0.72, 0.90); vertebral fractures over 1 and 2 years; and proximal humeral, distal forearm, and proximal femoral fractures over 1 year.

CONCLUSIONS

In this nationwide Japanese cohort, romosozumab use was associated with a lower incidence of major osteoporotic fractures compared to teriparatide over both 1- and 2-year follow-up periods among high-risk patients with osteoporosis.

Association between frailty and bone health in early-stage chronic kidney disease: a study from the population-based CARTaGENE cohort

Background

Frailty is a clinical syndrome that is particularly prevalent in patients with chronic kidney disease (CKD). We aimed to assess the associations between renal function and the presence of frailty criteria and to assess the association between frailty and bone outcomes.

Methods

We have conducted a retrospective study from a population-based cohort, which represents 1% of people aged 40-69 years in a Canadian province, excluding individuals with an estimated glomerular filtration rate (eGFR) <30 mL/min/1.73 m2. Frailty was defined with Fried's criteria. Bone density was estimated with quantitative ultrasound at the calcaneus measuring speed of sound (SOS) and broadband ultrasound attenuation (BUA). Time to first fracture event was assessed and analyses were conducted using logistic regressions, multiple linear regressions and Cox models.

Results

Overall, 19 973 individuals were included: mean ± standard deviation age 54.2 ± 7.8 years, women 51.6%, 47.0% CKD stage G2, 3.9% CKD stage G3, 34.8% with at least one frailty criterion. We observed a U-shaped association between eGFR and the odds ratio (OR) of presenting at least one frailty criterion, with a minimum OR around 77 mL/min/1.73 m2 [per a 10 mL/min/1.73 m2 increase, respectively, for an eGFR <77 and >77, OR = 0.93, 95% confidence interval (CI) 0.86-1.01 and OR 1.09, 95% CI 1.06-1.13]. After a median follow-up of 5.8 years, there were 837 fracture events. Having at least one frailty criterion was negatively associated with SOS (β = -3.97, P < .0001) and BUA (β = -1.82, P < .0001). Having at least one frailty criterion was associated with a higher fracture risk (hazard ratio 1.23, 95% CI 1.07-1.42).

Conclusion

In conclusion, having at least one frailty criterion was associated with a higher risk of fracture and a lower bone mineral density.

Validity of Major Osteoporotic Fracture Diagnoses in the Danish National Patient Registry

Objective

To evaluate the validity of diagnosis codes for Major Osteoporotic Fracture (MOF) in the Danish National Patient Registry (NPR) and secondly to evaluate whether the fracture was incident/acute using register-based definitions including date criteria and procedural codes.

Methods

We identified a random sample of 2400 records with a diagnosis code for a MOF in the NPR with dates in the year of 2018. Diagnoses were coded with the 10th revision of the International Classification of Diseases (ICD-10). The sample included 2375 unique fracture patients from the Region of Southern Denmark. Medical records were retrieved for the study population and reviewed by an algorithmic search function and medical doctors to verify the MOF diagnoses. Register-based definitions of incident/acute MOF was evaluated in NPR data by applying date criteria and procedural codes.

Results

The PPV for MOF diagnoses overall was 0.99 (95% CI: 0.98;0.99) and PPV=0.99 for the four individual fracture sites, respectively. Further, analyses of incident/acute fractures applying date criteria, procedural codes and using patients' first contact in the NPR resulted in PPV=0.88 (95% CI: 0.84;0.91) for hip fractures, PPV=0.78 (95% CI: 0.74;0.83) for humerus fractures, PPV=0.78 (95% CI: 0.73;0.83) for clinical vertebral fractures and PPV=0.87 (95% CI: 0.83;0.90) for wrist fractures.

Conclusion

ICD-10 coded MOF diagnoses are valid in the NPR. Furthermore, a set of register-based criteria can be applied to qualify if the MOF fracture was incident/acute. Thus, the NPR is a valuable and reliable data source for epidemiological research on osteoporotic fractures.

Incidence Rate and Factors Associated With Fractures Among Medicare Beneficiaries With Ankylosing Spondylitis in the United States

OBJECTIVE

We evaluated the incidence rate and factors associated with fractures among adults with ankylosing spondylitis (AS).

METHODS

We performed a retrospective cohort study with data from the Rheumatology Informatics System for Effectiveness registry linked to Medicare claims from 2016 to 2018. Patients were required to have two AS International Classification of Diseases codes 30 or more days apart and a subsequent Medicare claim. Then, 1 year of baseline characteristics were included, after which patients were observed for fractures. First, we calculated the incidence rate of fractures. Second, we constructed logistic regression models to identify factors associated with the fracture, including age, sex, race and ethnicity, body mass index, Medicare/Medicaid dual eligibility, area deprivation index, Charlson comorbidity index, smoking status, osteoporosis, historical fracture, and use of osteoporosis treatment, glucocorticoids, and opioids.

RESULTS

We identified 1,426 adults with prevalent AS. Mean ± SD age was 69.4 ± 9.8 years, 44.3% were female, and 77.3% were non-Hispanic White. Fractures occurred in 197 adults with AS. The overall incidence rate of fractures was 76.7 (95% confidence interval [CI] 66.4-88.6) per 1,000 person-years. Older age (odds ratio [OR] 2.8, 95% CI 1.39-5.65), historical fracture (OR 5.24, 95% CI 3.44-7.99), and use of more than 30 mg morphine equivalent (OR 1.86, 95% CI 1.08-3.19) conferred increased odds of fracture.

CONCLUSIONS

In this large sample of Medicare beneficiaries with AS, increasing age, historical fracture, and use of opioids had higher odds of fracture. Men and women were equally likely to have a fracture. Because opioid use was associated with fracture in AS, this high-risk population should be considered for interventions to mitigate risk.

High-Throughput Computing to Automate Population-Based Studies to Detect the 30-Day Risk of Adverse Outcomes After New Outpatient Medication Use in Older Adults with Chronic Kidney Disease: A Clinical Research Protocol

Background

Safety issues are detected in about one third of prescription drugs in the years following regulatory agency approval. Older adults, especially those with chronic kidney disease, are at particular risk of adverse reactions to prescription drugs. This protocol describes a new approach that may identify credible drug-safety signals more efficiently using administrative health care data.

Objective

To use high-throughput computing and automation to conduct 700+ drug-safety cohort studies in older adults in Ontario, Canada. Each study will compare 74 acute (30-day) outcomes in patients who start a new prescription drug (new users) to a group of nonusers with similar baseline health characteristics. Risks will be assessed within strata of baseline kidney function.

Design and setting

The studies will be population-based, new-user cohort studies conducted using linked administrative health care databases in Ontario, Canada (January 1, 2008, to March 1, 2020). The source population for these studies will be residents of Ontario aged 66 years or older who filled at least one outpatient prescription through the Ontario Drug Benefit (ODB) program during the study period (all residents have universal health care, and those aged 65+ have universal prescription drug coverage through the ODB).

Patients

We identified 3.2 million older adults in the source population during the study period and built 700+ initial medication cohorts, each containing mutually exclusive groups of new users and nonusers. Nonusers were randomly assigned cohort entry dates that followed the same distribution of prescription start dates as new users. Eligibility criteria included a baseline estimated glomerular filtration rate (eGFR) measurement within 12 months before the cohort entry date (median time was 71 days before cohort entry in the new user group), no prior receipt of maintenance dialysis or a kidney transplant, and no prior prescriptions for drugs in the same subclass as the study drug. New users and nonusers will be balanced on ~400 baseline health characteristics using inverse probability of treatment weighting on propensity scores within 3 strata of baseline eGFR: ≥60, 45 to <60, <45 mL/min per 1.73 m2.

Outcomes

We will compare new user and nonuser groups on 74 clinically relevant outcomes (17 composites and 57 individual outcomes) in the 30 days after cohort entry. We used a prespecified approach to identify these 74 outcomes.

Statistical analysis plan

In each cohort, we will obtain eGFR-stratum-specific weighted risk ratios and risk differences using modified Poisson regression and binomial regression, respectively. Additive and multiplicative interaction by eGFR category will be examined. Drug-outcome associations that meet prespecified criteria (identified signals) will be further examined in additional analyses (including survival, negative-control exposure, and E-value analyses) and visualizations.

Results

The initial medication cohorts had a median of 6120 new users per cohort (interquartile range: 1469-38 839) and a median of 1 088 301 nonusers (interquartile range: 751 697-1 267 009). Medications with the largest number of new users were amoxicillin trihydrate (n = 1 000 032), cephalexin (n = 571 566), prescription acetaminophen (n = 571 563), and ciprofloxacin (n = 504,374); 19% to 29% of new users in these cohorts had an eGFR <60 mL/min per 1.73 m2.

Limitations

Despite our use of robust techniques to balance baseline indicators and to control for confounding by indication, residual confounding will remain a possibility. Only acute (30-day) outcomes will be examined. Our data sources do not include nonprescription (over-the-counter) drugs or drugs prescribed in hospitals and do not include outpatient prescription drug use in children or adults <65 years.

Conclusion

This accelerated approach to conducting postmarket drug-safety studies has the potential to more efficiently detect drug-safety signals in a vulnerable population. The results of this protocol may ultimately help improve medication safety.

Added value of waist circumference to body mass index for predicting fracture risk in obesity: a prospective study from the CARTaGENE cohort

Larger waist circumference is significantly associated with an increased risk of distal lower limb fractures in individuals aged 40-70 years with a body mass index within the normal or overweight category. Therefore, waist circumference provides additive information to body mass index for the identification of individuals at risk of obesity-related fractures.

INTRODUCTION

Waist circumference (WC) is a stronger risk factor of metabolic disorders than body mass index (BMI), but whether it holds true for fracture risk prediction remains unclear. We aimed to evaluate relationships between WC and fracture incidence within BMI categories and evaluate whether BMI modifies these relationships.

METHODS

Men and women aged 40-70 years from the CARTaGENE cohort were divided by BMI category at baseline: normal weight, overweight, and obesity. Incident fractures were identified over 7 years via linkage with healthcare administrative databases. Cox proportional hazard models estimated the relationships between WC and incident fractures at any site and by skeletal site within each BMI category. Results are reported as adjusted hazard ratios (95% confidence intervals) per 10 cm increase in WC. Effect modification was evaluated qualitatively by comparing relationships between BMI categories.

RESULTS

Of the 18 236 individuals included, 754 sustained a fracture. Significant relationships were found between WC and distal lower limb fractures in the normal (1.25 [1.08, 1.45]) and overweight (1.28 [1.07, 1.52]) BMI categories, but not in the obesity category. In the overweight category, we found an increased risk of distal upper limb fractures with increasing WC (1.49 [1.04, 2.15]). No significant relationship was observed regarding WC and fracture risk at any site or major osteoporotic fractures. An effect modification of BMI on the relationships between WC and distal lower limb fractures was observed.

CONCLUSION

WC provides both independent and additive information to BMI for the identification of individuals at risk of obesity-related fractures.

FGF23-Klotho Axis and Fractures in Patients Without and With Early CKD: A Case-Cohort Analysis of CARTaGENE

CONTEXT

Whether fibroblast growth factor-23 (FGF23) and α-Klotho are associated with fractures, especially in chronic kidney disease (CKD), remains controversial.

OBJECTIVE

We evaluated how FGF23, α-Klotho, and traditional mineral parameters predict fractures in individuals with and without early CKD.

METHODS

We conducted a stratified case-cohort analysis using CARTaGENE, a population-based survey from Quebec, Canada. Individuals aged 40 to 69 years were selected according to outcome and CKD status (non-CKD: eGFR > 60 mL/min/1.73 m2; CKD stage 3: eGFR 30-60 mL/min/1.73 m2]). Baseline levels of c-terminal FGF23 (cFGF23), α-Klotho, parathyroid hormone (PTH), phosphate, and calcium were analyzed for associations with osteoporotic fracture incidence from recruitment (2009-2010) through March 2016. Adjusted Cox models were used, and predictors were treated linearly or flexibly using splines.

RESULTS

A total of 312 patients (159 non-CKD; 153 CKD) were included; 98 had ≥ 1 fracture at any site during a median follow up of 70 months. Compared with non-CKD, CKD patients had increased levels of cFGF23 but similar levels of α-Klotho. cFGF23 was linearly associated with increased fracture incidence (adjusted HR = 1.81 [1.71, 1.93] per doubling for all participants). The association of α-Klotho with fracture followed a U-curve (overall P = 0.019) but was attenuated by adjustment for potential mediators (bone mineral density, phosphate, PTH). PTH and phosphate also had U-shaped associations with fracture. Associations were mostly similar between non-CKD and CKD. Adjustment for cFGF23 strongly attenuated the association between CKD status and fractures.

CONCLUSION

cFGF23 is associated linearly with fracture incidence while α-Klotho, PTH, and phosphate levels have a U-shaped association.

Morbidities and mortality of diagnosed attention deficit hyperactivity disorder (ADHD) over the youth lifespan: A population-based retrospective cohort study

OBJECTIVES

To estimate the prevalence of ADHD, and related comorbidities, mortality, and type of health service use among children and young adults, using different case definitions.

METHODS

We conducted a population-based retrospective cohort study between 2000 and 2018, using the Quebec Integrated Chronic Disease Surveillance System (QICDSS) database. All residents aged less than 25 years eligible for health insurance coverage were included. We compared outcomes of three indicators (morbidity, services use and mortality) according two different algorithms of ADHD definitions, to the general population.

RESULTS

The cumulative prevalence of ADHD has risen steadily over the past decade, reaching 12.6% in 2017-2018. People with ADHD have a higher prevalence of psychiatric comorbidities, make greater use of medical, mental health services, and are hospitalized more often. The comparison of prevalence between the two algorithms and the general population for the three indicators showed that the cohort having one claim was very close to that with two or more, and statistically significant higher to that of people without ADHD.

CONCLUSION

This finding support that a single claim algorithm for ADHD can be used for case definition. More research is needed on the impact of potentially effective treatments in improving consequences of ADHD.

The risk of delirium and falls or fractures with the use of overactive bladder anticholinergic medications

OBJECTIVE

To determine if OAB anticholinergics have an increased risk of delirium or falls/fractures relative to OAB beta-3 agonist medications.

METHODS

This was a retrospective, cohort study using linked administrative data from the universal healthcare system of Ontario, Canada. Participants were all residents >66 years of age who newly initiated an OAB medication between January 2016 and March 2020. Coprimary outcomes were evidence of a hospital visit with delirium, or for a fall/fracture. We used matching weights to make the three exposure groups (beta-3 agonist, oxybutynin, or newer OAB anticholinergics) comparable across 82 baseline characteristics. We examined both the risk during the first 30 days (logistic regression) and the risk during continuous usage (proportional hazards).

RESULTS

We identified 103 024 older adults who started OAB medications. With matching weights, all measured variables were similar. The 30-day incidence of delirium was 0.31%, and fall/fracture was 1.07%; there was no significantly increased risk of either delirium (oxybutynin users OR 1.28 [95% CI 0.84-1.96], newer OAB anticholinergic users OR 0.92 [95% CI 0.58-1.46]) or falls/fractures (oxybutynin users OR 1.19 [95% CI 0.95-1.49], newer OAB anticholinergic users OR 1.14 [95% CI 0.91-1.43]) compared to beta-3 agonist users. With continuous usage, there was an increased HR of delirium among users of newer anticholinergics (HR 1.13, 95% CI 1.02-1.26) and an increased HR for fall/fracture among oxybutynin users (HR 1.13, 95% CI 1.02-1.24).

CONCLUSIONS

Compared to beta-3 agonists, the continuous use of oxybutynin is associated with a significantly increased risk of fall/fracture, and newer OAB anticholinergics are associated with a significantly increased risk of delirium.

Impact of bisphosphonates and comorbidities on initial hip fracture prognosis

The aim of this study is to investigate the impact of bisphosphonate treatment on the prognosis of patients with initial hip fracture. Patients aged fifty years and older with initial hip fracture were identified from the Taiwan National Health Insurance Research Database between 2002 and 2011. A multi-state model was established to evaluate the transition between "first to second hip fracture", "first hip fracture to death", and "second hip fracture to death". Transition probability and cumulative hazards were used to compare the prognosis of initial hip fracture in a bisphosphonate treated cohort versus non-treated cohort. In addition, Deyo-Charlson comorbidities, both vertebral and non-vertebral fractures, and cataracts were also included for analysis. After 10-year follow-up, there is decreased cumulative transition probability for both second hip fracture and mortality after both first and second hip fracture in the bisphosphonate treated cohort. Multivariable, transition-specific time-dependent Cox model revealed that bisphosphonate treatment significantly reduced risk for second hip fracture in the first 5 years of the treatment (HR 0.88; 95% CI 0.79-0.99; P: 0.034), first hip fracture mortality (HR 0.88; 95% CI 0.83-0.93; P < 0.001), and second hip fracture mortality in the first 2 years of the treatment (HR 0.78; 95% CI 0.65-0.95; P = 0.011). Female sex, both vertebral and non-vertebral fractures, cataracts, dementia in the first 2 years, and DM with complication were all significantly associated with risk of a second hip fracture. Cerebrovascular disease and hemiplegia comorbidities had less risk of a second hip fracture. The risk of mortality after both first and second hip fracture was significantly associated with congestive heart failure, renal disease, myocardial infarction, and moderate to severe liver disease. Our study demonstrated that bisphosphonate treatment and strict management of comorbidities after the initial hip fracture significantly decrease the risk for a second hip fracture and mortality.

Prediction of Osteoporotic Fractures in Elderly Individuals: A Derivation and Internal Validation Study Using Healthcare Administrative Data

In Canada and other countries, osteoporosis is monitored as part of chronic disease population surveillance programs. Although fractures are the principal manifestation of osteoporosis, very few algorithms are available to identify individuals at high risk of osteoporotic fractures in current surveillance systems. The objective of this study was to derive and validate predictive models to accurately identify individuals at high risk of osteoporotic fracture using information available in healthcare administrative data. More than 270,000 men and women aged ≥66 years were randomly selected from the Quebec Integrated Chronic Disease Surveillance System. Selected individuals were followed between fiscal years 2006-2007 and 2015-2016. Models were constructed for prediction of hip/femur and major osteoporotic fractures for follow-up periods of 5 and 10 years. A total of 62 potential predictors measurable in healthcare administrative databases were identified. Predictor selection was performed using a manual backward algorithm. The predictive performance of the final models was assessed using measures of discrimination, calibration, and overall performance. Between 20 and 25 predictors were retained in the final prediction models (eg, age, sex, social deprivation index, most of the major and minor risk factors for osteoporosis, diabetes, Parkinson's disease, cognitive impairment, anemia, anxio-depressive disorders). Discrimination of the final models was higher for the prediction of hip/femur fracture than major osteoporotic fracture and higher for prediction for a 5-year than a 10-year period (hip/femur fracture for 5 years: c-index = 0.77; major osteoporotic fracture for 5 years: c-index = 0.71; hip/femur fracture for 10 years: c-index = 0.73; major osteoporotic fracture for 10 years: c-index = 0.68). The predicted probabilities globally agreed with the observed probabilities. In conclusion, the derived models had adequate predictive performance in internal validation. As a final step, these models should be validated in an external cohort and used to develop indicators for surveillance of osteoporosis. © 2021 American Society for Bone and Mineral Research (ASBMR).

Validation of an Operational Definition to Identify Distal Radius Fractures in a National Health Insurance Database

PURPOSE

To develop and validate identification criteria for distal radius fractures (DRFs) and their treatment using a national health insurance database.

METHODS

Patients who had at least 1 wrist radiograph taken in 2018 were recruited from a single academic referral hospital. After excluding patients who lacked immobilization code for wrist pathology, we collected data on the overall population. Because some patients might have undergone wrist radiography at another institution or had DRFs without an immobilization code, we additionally included patients who had a DRF diagnosis code at our institution. Reviews of medical records and wrist radiographs were considered for the diagnosis of DRF. We evaluated the sensitivity, specificity, and positive predictive value (PPV) of 3 operational definitions of fractures that were based on a single primary or secondary diagnosis code; all diagnosis codes, including primary and secondary codes; and all diagnosis and procedure codes.

RESULTS

Among 768 patients included in the study, true DRFs were confirmed in 305. The sensitivity, specificity, and PPV for definition 1 were 91.5% (95% CI, 88.3%-94.6%), 97.5% (95% CI, 95.9%-99.1%), and 96.9% (95% CI, 94.9%-98.9%), respectively. Although the sensitivity of definition 2 was higher (92.1%; 95% CI, 89.1%-95.2%), its specificity and PPV were lower (96.4% [95% CI, 94.4%-98.3%] and 95.6% [95% CI, 93.2%-97.9%], respectively). The sensitivity of definition 3 was the lowest (88.2%; 95% CI, 84.6%-91.8%), but its specificity and PPV were the highest among the 3 definitions (98.6% [95% CI, 97.4%-98.8%] and 98.2% [95% CI, 96.6%-99.8%], respectively).

CONCLUSIONS

Patients with DRFs can be identified from claims databases with high accuracy using an operational definition based on DRF diagnosis and procedure codes, including codes for surgical and nonoperative methods.

CLINICAL RELEVANCE

Verified operational definitions will increase the consistency of results in future national health insurance database studies related to DRFs.

Observational study methods used to assess pharmacotherapy effects of type 2 diabetes on fracture risk: a scoping review protocol

OBJECTIVE

The objective of this review is to summarize observational research methods employed to study fracture risk and the use of type 2 diabetes mellitus medications. The methods summary will be used as a case study to illustrate current practices in the study of medication effects on fracture risk.

INTRODUCTION

Observational studies examining drug effects on fracture risk fill knowledge gaps left by clinical trials but require specific design considerations. In recent years, several pharmacoepidemiologic studies have examined fracture risk as a possible adverse effect of type 2 diabetes mellitus medications using varying methodologies; these studies can illustrate design considerations for studies of fracture risk.

INCLUSION CRITERIA

This scoping review will consider peer-reviewed observational studies that examine the effects of type 2 diabetes mellitus medications on fracture risk. Primary literature comprising empirical pharmacoepidemiologic studies, such as cohort, case-control, case-crossover, self-controlled, case series, and case-cohort designs, that evaluate fracture risk associated with at least one type 2 diabetes mellitus medication will be eligible. Studies without use of an administrative database and those with an experimental, cross-sectional, or time-series design will be excluded.

METHODS

This scoping review will follow JBI methodology for scoping reviews. MEDLINE (Ovid), Embase (Ovid), and CINAHL Plus with Full Text (EBSCO) will be searched from January 1, 2000 (to capture recent methodologies) to the present to identify eligible articles. After de-duplication, titles and abstracts will be screened independently by two reviewers, then full texts will be reviewed. Data on study methods will be extracted from eligible texts using a piloted form developed by the authors, and study methods will be aggregated in tabular format.

Assessment of site-specific X-ray procedure codes for fracture ascertainment: a registry-based cohort study

Site-specific X-ray procedure codes are a useful ancillary source of information for identifying fractures in healthcare administrative and claims data.

INTRODUCTION

Real-world evaluation of fracture epidemiology at the population level from electronic healthcare information, such as administrative data, requires comprehensive data sources and validated case definitions. Only hip fractures are routinely hospitalized, and the identification of most osteoporosis-related fractures which are non-hospitalized fractures remains challenging. Plain X-rays (radiographs) are first-line tests for fracture diagnosis and are frequently repeated to monitor fracture healing, and claims data related to radiologic procedures are available in many healthcare systems. We hypothesized that temporal clustering in plain X-ray procedure codes might be an ancillary source of fracture data.

METHODS

We identified individuals age 40 years and older in Manitoba Bone Mineral Density (BMD) Registry with a fracture diagnosis (hip, forearm, humerus, clinical vertebral) before or following a BMD test. A subset underwent detailed review of X-rays to verify an acute fracture. We examined the association between fracture diagnosis and numbers of site-specific X-ray procedures.

RESULTS

The registry cohort included 7793 individuals with a fracture in the previous 5 years and 8417 incident fractures. The X-ray review cohort included 167 radiologically-verified fractures. The number of site-specific X-ray codes was greater in those with vs without fracture (all P < 0.001). The number of days with site-specific X-rays was strongly associated with a fracture diagnosis (area under the curve 0.90 to 0.99 for all non-vertebral fractures, 0.66 to 0.75 for clinical vertebral fractures). There was good agreement between the date of fracture diagnosis and the first X-ray at all non-vertebral fracture sites (Spearman correlation range 0.65 to 0.99), but this was lower for clinical vertebral fractures (range 0.29 to 0.59).

CONCLUSIONS

Temporal clustering in site-specific X-ray procedures was associated with a corresponding fracture diagnosis in administrative medical records. Non-vertebral fracture sites were more strongly associated with X-ray procedures than clinical vertebral fractures.

Incidence of fractures in middle-aged individuals with early chronic kidney disease: a population-based analysis of CARTaGENE

BACKGROUND

Previous studies evaluating fractures in chronic kidney disease (CKD) have mostly focused on hip or major fractures in aged populations with moderate to advanced CKD. We aimed at evaluating the association between early CKD and fracture incidence at all sites across age and sex in middle-aged individuals.

METHODS

We analyzed CARTaGENE, a prospective population-based survey of 40- to 69-year-old individuals from Quebec (Canada). Estimated glomerular filtration rate (eGFR) at baseline was evaluated categorically or continuously using restricted cubic splines. Fractures at any site (except toes, hand and craniofacial) for up to 7 years of follow-up were identified through administrative databases using a validated algorithm. Adjusted Cox models were used to evaluate the association of CKD with fracture. Interaction terms for age and sex were also added.

RESULTS

A total of 19 391 individuals (756 CKD Stage 3; 9114 Stage 2; 9521 non-CKD) were included and 829 fractures occurred during a median follow-up of 70 months. Compared with the median eGFR of 90 mL/min/1.73 m2, eGFRs of ≤60 mL/min/1.73 m2 were associated with increased fracture incidence in unadjusted and adjusted models [adjusted hazard ratio (HR) = 1.25 (95% confidence interval 1.05-1.49) for 60 mL/min/1.73 m2; 1.65 (1.14-2.37) for 45 mL/min/1.73 m2]. The eGFR was linearly associated with fracture incidence <75 mL/min/1.73 m2 [HR = 1.18 (1.04-1.34) per 10 mL/min/1.73 m2 decrease] but not above [HR = 0.98 (0.91-1.06) per 10 mL/min/1.73 m2 decrease). The effect of decreased eGFR on fracture incidence was more pronounced in younger individuals [HR = 2.45 (1.28-4.67) at 45 years; 1.11 (0.73-1.67) at 65 years] and in men.

CONCLUSIONS

Even early CKD increases fracture incidence, especially in younger individuals and in men.

Osteoporotic fracture rates in chronic hemodialysis and effect of heparin exposure: a retrospective cohort study

Background

Patients receiving chronic hemodialysis treatments are at a higher risk of fracture compared to the general population. While the use of heparin during dialysis is crucial to avoid thrombosis of the extracorporeal circuit, the association of unfractionated heparin (UFH) and the risk of osteoporotic fracture has been shown for many years. However, this association was not as clear for low-molecular-weight heparin (LMWH) and the few collected data originated from studies among pregnant women. Our aim was to measure osteoporotic fracture rate among hemodialysis patients and to evaluate the association of LMWH compared to UFH in hemodialysis.

Methods

A retrospective cohort study was conducted on data extracted from the RAMQ and Med-Echo databases from January 2007 to March 2013 with patients chronically hemodialyzed in 21 participating centers. Incidence rates for each fracture sites were measured per 1000 patient-year (p-y) and their 95% confidence intervals (CI). Osteoporotic fracture risk for a first event with LMWH compared to UFH was estimated using a cox proportional hazard model using demographics, comorbidities and drug use as covariates.

Results

4796 patients undergoing chronic hemodialysis were identified. The incidence rate for all fracture sites was 22.7 /1000 p-y (95% CI: 19.6–26.1) and 12.8 /1000 p-y (95% CI: 10.5–15.4) for hip and femur fractures. We found a similar risk of osteoporotic fracture for LMWH compared to UFH (adjusted HR = 1.01; 95%CI: 0.72–1.42). Age and malignancy increased the risk of fracture while cerebrovascular disease decreased the risk of fracture.

Conclusions

Compared to UFH, LMWH did not change the risk of osteoporotic fracture when used for the extracorporeal circuit anticoagulation in chronic hemodialysis.

Comparison of Fracture Prediction Tools in Individuals Without and With Early Chronic Kidney Disease: A Population-Based Analysis of CARTaGENE

Whether fracture prediction tools developed for the management of osteoporosis can be used in chronic kidney disease (CKD) is poorly known. We aimed to compare the performance of fracture prediction tools in non-CKD and CKD. We analyzed CARTaGENE, a population-based survey of 40-year-old to 69-year-old individuals recruited between 2009 and 2010. Renal function was assessed using baseline creatinine and categorized according to Kidney Disease Improving Global Outcomes (KDIGO) guidelines (non-CKD, stage 2, stage 3). Individuals without creatinine measurements or with advanced CKD (stage 4 or 5; prevalence <0.25%) were excluded. Predicted 5-year fracture probabilities (using Fracture Risk Assessment Tool [FRAX], QFracture, and Garvan) were computed at baseline. Fracture incidence (major fracture [MOF] or any fracture) was evaluated in administrative databases from recruitment to March 2016. Discrimination (hazard ratios [HRs] per standard deviation [SD] increase in Cox models; c-statistics) and calibration (standardized incidence ratios [SIRs] before and after recalibration) were assessed in each CKD strata. We included 19,393 individuals (9522 non-CKD; 9114 stage 2; 757 stage 3). A total of 830 patients had any fracture during follow-up, including 352 MOF. FRAX (HR = 1.89 [1.63-2.20] non-CKD; 1.64 [1.41-1.91] stage 2; 1.76 [1.10-2.82] stage 3) and QFracture (HR = 1.90 [1.62-2.22] non-CKD; 1.57 [1.35-1.82] stage 2; 1.86 [1.19-2.91] stage 3) discriminated MOF similarly in non-CKD and CKD. In contrast, the discrimination of Garvan for any fracture tended to be lower in CKD stage 3 compared to non-CKD and CKD stage 2 (HR = 1.36 [1.22-1.52] non-CKD; 1.34 [1.20-1.50] stage 2; 1.11 [0.79-1.55] stage 3). Before recalibration, FRAX globally overestimated fracture risk while QFracture and Garvan globally underestimated fracture risk. After recalibration, FRAX and QFracture were adequately calibrated for MOF in all CKD strata whereas Garvan tended to underestimate any fracture risk in CKD stage 3 (SIR = 1.31 [0.95-1.81]). In conclusion, the discrimination and calibration of FRAX and QFracture is similar in non-CKD and CKD. Garvan may have a lower discrimination in CKD stage 3 and underestimate fracture risk in these patients. © 2020 American Society for Bone and Mineral Research.

Combined impacts of multimorbidity and mental disorders on frequent emergency department visits: a retrospective cohort study in Quebec, Canada

BACKGROUND

Multimorbidity and mental disorders are independently associated with frequent visits to the emergency department (≥ 3 visits/yr), but their interaction has been little studied. We aimed to measure the interaction between mental disorders and physical multimorbidity with respect to frequent visits to the emergency department.

METHODS

We conducted a population-based cohort study of adults in Quebec from 2012 to 2016, using the Quebec Integrated Chronic Disease Surveillance System. We assessed multimorbidity as the number of physical illnesses and mental disorders as serious (psychotic or bipolar disorders), common or absent, using data from 2012 to 2014. We counted emergency department visits from 2014 to 2015. We used logistic regression to estimate interaction on frequent visits to the emergency department from 2 perspectives: of public health (additive scale as differences in risk) and of individual patients (multiplicative scale as odds ratios).

RESULTS

Each additional physical illness was associated with a greater increase in the absolute risk of frequent visits to the emergency department for people with mental disorders. Between 0 and ≥ 4 physical conditions, the absolute risk increased more for individuals with serious mental disorders (16.2%) than common (15.3%) or no disorders (11.4%). On the relative scale, for people with no mental disorders and ≥ 4 physical conditions, odds of frequent visits to the emergency department were 6.2 (95% confidence interval [CI] 6.08-6.35) times the odds for people with no physical conditions. For individuals with common and serious mental illnesses, corresponding odds ratios were 4.75 (95% CI 4.60-4.90) and 3.7 (95% CI 3.18-3.57), respectively.

INTERPRETATION

Mental disorders interact with physical multimorbidity to increase the odds of frequent visits to the emergency department. More research is needed on interventions that promote high-quality care for mental illness, especially in the context of physical multimorbidity.

Predictive value of quantitative ultrasound parameters in individuals with chronic kidney disease: A population-based analysis of CARTaGENE

BACKGROUND

The use of calcaneal quantitative ultrasound (QUS) to predict fractures has not been well studied in early CKD populations. We compared the association of QUS with incidental fractures and its predictive properties in non-CKD and CKD individuals.

METHODS

Analysis of a prospective population-based survey of 40- to 69-year-old individuals recruited between 2009 and 2010. QUS parameters (stiffness index [SI], speed of sound [SOS], broadband attenuation [BUA]) were measured at baseline. Renal function was measured using baseline creatinine and was classified into CKD stages (non-CKD, stage 2, stage 3). Fracture incidence at any site or at major osteoporotic fracture sites for up to 7 years of follow-up was identified in administrative databases using a validated algorithm. The association (age-adjusted hazard ratio per standard deviation decrease in Cox models), discrimination (c-statistic) and calibration (standardized incidence ratio [SIR]) of QUS parameters with fracture outcomes was computed in each CKD stratum.

RESULTS

We included 18,306 individuals (9,011 non-CKD; 8,595 CKD stage 2; 700 CKD stage 3). During a median follow-up of 70 months, we identified 782 fractures at any site and 326 major osteoporotic fractures. Although all QUS parameters (SI, SOS and BUA) were associated with any or major fracture incidence in non-CKD and CKD patients, the magnitude of these associations was lower for any fracture and for BUA. QUS parameters moderately discriminated incidental fractures across CKD strata but underestimated fracture incidence in CKD stage 3 even after adjustment for demographics and clinical risk factors. At a given QUS value, CKD stage 3 patients had higher fracture risk than non-CKD and CKD stage 2 patients.

CONCLUSIONS

QUS parameters are associated with fracture incidence in both non-CKD and CKD but underestimate fracture incidence in individuals with early CKD.

Association of pemphigus and pemphigoid with osteoporosis and pathological fractures

Patients with pemphigus and bullous pemphigoid (BP) have potential risk factors for osteoporosis and/or fractures. To determine whether pemphigus and BP are associated with osteoporosis and fractures in the US, a cross-sectional study of 198,102,435 adults was performed, including 4506 with pemphigus and 8864 with BP from the 2006-2012 National Emergency Department Sample, a 20% sample of emergency care visits throughout the US. Pemphigus was associated with higher odds (multivariate logistic regression; adjusted odds ratio [95% confidence intervals]) of osteopenia (2.20 [1.59-3.05]), osteoporosis (2.54 [2.16-2.98]), osteomalacia (29.70 [4.05-217.83]), and pathological fractures (2.04 [1.42-2.91]). BP was associated with osteoporosis (1.55 [1.39-1.73]) and pathological fractures (1.52 [1.22-1.88]). When compared to BP, pemphigus was associated with higher odds of osteopenia (1.59 [1.06-2.41]), osteoporosis (1.38 [1.18-1.63]), and fractures (1.26 [1.04-1.53]), particularly of the ulna and radius (3.17 [1.23-8.17]). Patients with pemphigus or BP as well as long-term systemic corticosteroid use had highest odds of osteoporosis and fractures. No data were available on treatments for pemphigus or BP. Pemphigus and BP were associated with osteopenia, osteoporosis, and pathologic fractures. Patients with PEM and BP may benefit from increased screening for osteoporosis and interventions to prevent fractures.

Comparative risk of harm associated with trazodone or atypical antipsychotic use in older adults with dementia: a retrospective cohort study

BACKGROUND

Trazodone is increasingly prescribed for behavioural and psychological symptoms of dementia, but little is known about its risk of harm. Our objective was to describe the comparative risk of falls and fractures among older adults with dementia dispensed trazodone or atypical antipsychotics.

METHODS

The study cohort included adults with dementia (excluding patients with chronic psychotic illnesses) living in long-term care and aged 66 years and older. Data were obtained from routinely collected, linked health administrative databases in Ontario, Canada. We compared new users of trazodone with new users of atypical antipsychotics (quetiapine, olanzapine or risperidone) between Dec. 1, 2009, and Dec. 31, 2015. The primary outcome was a composite of fall or major osteoporotic fracture within 90 days of first prescription. Secondary outcomes were falls, major osteoporotic fractures, hip fractures and all-cause mortality.

RESULTS

We included 6588 older adults dispensed trazodone and 2875 dispensed an atypical antipsychotic, of whom 95.2% received a low dose of these medications. Compared with use of atypical antipsychotics, use of trazodone was associated with similar rates of falls or major osteoporotic fractures (weighted hazard ratio [HR] 0.89, 95% confidence interval [CI] 0.73 to 1.07), major osteoporotic fracture (weighted HR 1.03, 95% CI 0.73 to 1.47), falls (weighted HR 0.91, 95% CI 0.75 to 1.11) and hip fractures (weighted HR 0.92, 95% CI 0.59 to 1.43). Use of trazodone was associated with a lower rate of mortality (weighted HR 0.75, 95% CI 0.66 to 0.85).

INTERPRETATION

Trazodone is not a uniformly safer alternative to atypical antipsychotics, given the similar risk of falls and fractures among older adults with dementia.

The Design and Validation of a New Algorithm to Identify Incident Fractures in Administrative Claims Data

Our study validated a claims-based algorithm for the identification of incident and recurrent fractures in administrative data. We used Centers for Medicare and Medicaid (CMS) claims from 2005 to 2014 linked to the Reasons for Geographic and Racial Differences in Stroke (REGARDS) database. Case qualifying (CQ) fractures were identified among participants with ≥12 months of fee-for-service coverage before first fracture claim and ≥6 months after. Recurrent fractures were defined as the first CQ fracture that occurred following a clean period of at least 90 days from the last claim associated with the preceding incident fracture. We used medical records (discharge summary, imaging, and surgical report) to adjudicate fractures. We calculated positive predictive values (PPVs) for incident and recurrent fractures. Our study was not designed to assess the algorithm sensitivity or negative predictive value. We identified 2049 potential incident fractures from claims among 1650 participants. Record retrieval was attempted for 728 (35.5%) suspected incident fractures (prioritizing more recent CQ fractures associated with osteoporosis, but without explicitly requiring any osteoporosis ICD-9 diagnosis code). Our final sample included 520 claims-identified fractures with medical records, of which 502 (96.5%) were confirmed. The PPVs (95% CI) of the hip, wrist, humerus, and clinical vertebra-all exceeded 95%. We identified 117 beneficiaries with 292 ≥2 CQ fracture episodes at the same site, and attempted retrieval on 105 (36.0%) episodes. Our analytic sample included 72 (68.5%) CQ episodes from 33 participants. The PPVs for identifying recurrent clinical vertebral, hip/femur, and nonvertebral fractures with a 90-day clean period exceeded 95%. Although we could not ascertain sensitivity, our updated fracture identification algorithms had high PPV for the identification of incident and recurrent fractures of the same site. Although medical record review and clinical adjudication remain a gold standard, our claims-based algorithm provides an alternative approach to fracture ascertainment when high PPV is desired. © 2019 American Society for Bone and Mineral Research.

Hip Fractures in Older Adults in Ontario, Canada-Monthly Variation, Insights, and Implications

Background

In older adults, hip fractures have been described to peak in cooler months. Seasonal differences in patient vulnerability to fracture and social/behavioural factors might contribute to these trends.

Methods

Using linked health-care databases in Ontario Canada, we examined monthly variation in hip fracture hospitalizations in those > 65 years (2011–2015). We stratified results by age category (66–79, ≥80 years). We then examined for variation in the demographic and comorbidity profiles of patients across the months, and as an index of contributing social/behavioural factors, noted variation in health-care behaviours.

Results

There were 47,971 and 52,088 hospitalizations for hip fracture in those 66–79, and ≥80 years, respectively. There was strong seasonality in fractures in both groups. Peaks occurred in October and December when patients appeared most vulnerable. Rates fell in the summer in those 66–79 years, and in the late winter in those ≥80 years (when health-care utilization also declined). A smaller peak in fractures occurred in May in both groups.

Conclusions

Hip fractures peak in the autumn, early winter, and spring in Canada. A dip in fractures occurs in the late winter in the oldest old. Environmental factors might play a role, but seasonal vulnerability to fracture and winter isolation might also be influential.

Rationale, study design, and descriptive data of the Lucky Bone™ Fracture Liaison Service

The study design of a multidisciplinary Fracture Liaison Service (2-year follow-up) aiming to optimize fragility fracture management in an outpatient setting is presented. Patient characteristics, investigation, and treatment initiation data at baseline were recorded. Results corroborate the care gap in osteoporosis management, reinforcing the need for secondary fracture prevention programs.

PURPOSE

This paper describes the study design, implementation, and baseline characteristics of a multidisciplinary Fracture Liaison Service (FLS) in Quebec (Canada).

METHODS

A FLS was implemented as a prospective cohort study. After identification, fracture risk was assessed and patients were started on treatment or referred, according to guidelines and risk assessment. Thereafter, patients were systematically followed over 2 years. Clinical data (fractures, bone density, blood testing (bone turnover markers), quality of life, physical disability) as well as administrative data (pharmacological, health services, hospitalization) was collected. Baseline descriptive data was analyzed and presented.

RESULTS

Of 542 recruited participants, 532 underwent baseline assessment (85.7% female, mean age 63.4 years). Overall, 29.7% of participants either withdrew from the study or were lost to follow-up. Almost 27% were referred to a specialist, while > 70% received anti-osteoporosis medication prescriptions through the FLS at baseline. Mean femoral T-score was - 1.6 ± 1.0 and vertebral T-score was - 1.7 ± 1.4. Nearly 19% of subjects reported being under anti-osteoporosis medication at the time of incident fracture. Thirty-three percent of participants reported a prior fracture history, of which 29.7% reported being given anti-osteoporosis therapy. Most fracture sites were to the wrist and ankle, while < 19% were hip/femur or vertebral fractures.

CONCLUSIONS

These results highlight the important care gap in fragility fracture management and reinforce the need for secondary fracture prevention programs. This prospective study will allow the evaluation of key performance indicators for outpatient clinic-based FLS, such as medication usage, by combining prospective clinical and administrative data.

Frailty and health services use among Quebec seniors with non-hip fractures: a population-based study using adminsitrative databases

Background

The number of frail elderly will increase as the world population ageing accelerates. Since frail elders are at risk of falls, hospitalizations and disabilities, they will require more health care and services. To assess frailty prevalence using health administrative databases, to examine the association between frailty and the use of medical services and to measure the excess use of health services following a non-hip fracture across frailty levels among community-dwelling seniors.

Methods

A population-based cohort study was built from the Quebec Integrated Chronic Disease Surveillance System, including men and women ≥65 years old, non-institutionalized in the pre-fracture year. Frailty was measured using the Elders Risk Assessment (ERA) index. Multivariate Generalized Estimating Equation models were used to examine the relationship between frailty levels and health services while adjusting for covariates. The excess numbers of visits to Emergency Departments (ED) and to Primary Care Practitioners (PCP) as well as hospitalizations were also estimated.

Results

The cohort included 178,304 fractures. There were 13.6 and 5.2% frail and robust seniors, respectively. In the post-fracture year, the risks of ED visits, PCP visits and hospitalizations, were significantly higher in frail vs. non-frail seniors: adjusted relative risk (RR) = 2.69 [95% CI: 2.50–2.90] for ED visits, RR = 1.28 [95% CI: 1.23–1.32] for PCP visits and RR = 2.34 [95% CI: 2.14–2.55] for hospitalizations.

Conclusion

Our results suggest that it is possible to characterize seniors’ frailty status at a population level using health administrative databases. Furthermore, this study shows that non-institutionalized frail seniors require more health services after an incident fracture. Screening for frailty in seniors should be part of clinical management in order to identify those at a higher risk of needing health services.

Electronic supplementary material

The online version of this article (10.1186/s12913-019-3865-z) contains supplementary material, which is available to authorized users.

Individual, programmatic and systemic indicators of the quality of mental health care using a large health administrative database: an avenue for preventing suicide mortality

Suicide is a major public health issue in Canada. The quality of health care services, in addition to other individual and population factors, has been shown to affect suicide rates. In publicly managed care systems, such as systems in Canada and the United Kingdom, the quality of health care is manifested at the individual, program and system levels. Suicide audits are used to assess health care services in relation to the deaths by suicide at individual level and when aggregated at the program and system levels. Large health administrative databases comprise another data source used to inform population-based decisions at the system, program and individual levels regarding mental health services that may affect the risk of suicide. This status report paper describes a project we are conducting at the Institut national de santé publique du Québec (INSPQ) with the Quebec Integrated Chronic Disease Surveillance System (QICDSS) in collaboration with colleagues from Wales (United Kingdom) and the Norwegian Institute of Public Health. This study describes the development of quality of care indicators at three levels and the corresponding statistical analysis strategies designed. We propose 13 quality of care indicators, including system-level and several population-level determinants, primary care treatment, specialist care, the balance between care sectors, emergency room utilization, and mental health and addiction budgets, that may be drawn from a chronic disease surveillance system.

Number, Location, and Time Since Prior Fracture as Predictors of Future Fracture in the Elderly From the General Population

Prognostic tools are available to identify individuals at high risk of osteoporotic fracture and to assist physicians in management decisions. Some authors have suggested improving the predictive ability of these tools by integrating characteristics of prior fractures (number, location, and time since prior fracture). The objectives of this study were: (1) to evaluate the sex- and age-specific associations between characteristics of prior fractures and the occurrence of a future osteoporotic fracture; and (2) to assess whether the characteristics of prior fractures could increase the discriminative ability of fracture risk prediction tools. A retrospective cohort study was conducted using administrative data. Men and women aged ≥66 years were selected and grouped into two cohorts. In cohort #1 (N = 759,500), history of fractures was measured between fiscal years 1997-1998 and 2003-2004, and future fractures were identified between 2004-2005 and 2013-2014. In cohort #2 (N = 807,245), history of fractures was measured between 1997-1998 and 2008-2009, and future fractures were identified between 2009-2010 and 2013-2014. Time until a first hip/femur and major osteoporotic fracture were the outcomes of interest. Adjusted HRs and c-indices were calculated. The association between history of prior fractures and future fracture was stronger in men and younger individuals. The locations of prior fractures associated with the lowest and highest risks were foot/ankle/tibia/fibula (maximal HR = 1.64) and hip/femur (maximal HR = 9.02), respectively. The association was stronger for recent fractures (maximal HR = 4.93), but was still significant for fractures occurring 10 to 12 years prior to the beginning of follow-up (maximal HR = 1.99). Characteristics of prior fractures did not increase model discrimination. Our study confirms that the risk of future fracture increases with the number of prior fractures, varies according to prior fracture location, and decreases with time since prior fracture. However, the integration of these characteristics in current fracture risk prediction tools is not required because it does not improve predictive ability. © 2018 American Society for Bone and Mineral Research.

Prevalence and Correlates of Autism Spectrum Disorders in Quebec: Prévalence et corrélats des troubles du spectre de l'autisme au Québec

OBJECTIVE

To estimate the prevalence, comorbidities, and service use of people with autism spectrum disorders (ASDs) based on data from Quebec Integrated Chronic Diseases Surveillance System (QICDSS).

METHODS

We included all residents up to age 24 eligible for health plan coverage who were in Quebec for at least 1 day from January 1, 1996, to March 31, 2015. To be considered as having an ASD, an individual had to have had at least 1 physician claim or hospital discharge abstract from 2000 to 2015 indicating one of the following ASD diagnosis codes: ICD-9 codes 299.0 to 299.9 or their ICD-10 equivalents.

RESULTS

The QICDSS shows that the prevalence of ASD has risen steadily over the past decade to approximately 1.2% ( n = 16,940) of children and youths aged 1 to 17 years in 2014 to 2015. The same prevalence was obtained using Ministry of Education data. Common medical comorbidities included congenital abnormalities of the nervous system, particularly in the first year of life. Psychiatric comorbidity was much more highly prevalent, especially common mental disorders like anxiety and attention-deficit/hyperactivity disorder. Children and youths with ASDs made on average 2.3 medical visits per year compared with 0.2 in the general population. Between 18 and 24 years old, the mental health needs of individuals with ASDs were met less by medical specialists and more by general practitioners.

CONCLUSION

Information derived from this database could support and monitor development of better medical services coordination and shared care to meet the continuous and changing needs of patients and families over time.

Effectiveness of Oral Bisphosphonates in Reducing Fracture Risk Among Oral Glucocorticoid Users: Three Matched Cohort Analyses

The benefit of oral bisphosphonates in reducing fracture risk in glucocorticoid-induced osteoporosis is controversial. We aimed to estimate the effectiveness of oral bisphosphonates in reducing fracture risk in a cohort of new chronic oral glucocorticoid users. We created three matched cohorts using health care administrative data from Ontario, Canada. We included residents aged 66 years and older initiating chronic oral glucocorticoids (≥450 mg prednisone equivalent and ≥2 glucocorticoid prescriptions within a 6-month window) between January 1998 and September 2014. Exposed patients were those who initiated an oral bisphosphonate (alendronate, etidronate, or risedronate) within the first 6 months of starting chronic oral glucocorticoid therapy. Exposed cohorts (3945 alendronate, 5825 risedronate, and 8464 etidronate) were each matched 1:1 to unexposed patients on glucocorticoid exposure, fracture risk factors, and propensity score. We examined incident hip (primary outcome), vertebral, forearm, and humerus fractures using Cox proportional hazard models. Alendronate (hazard ratio [HR] = 0.46, 95% confidence interval [CI] 0.25-0.80) and risedronate (HR = 0.58, 95% CI 0.36-0.90) were associated with reduced hip fracture risk. Alendronate (HR =  0.52, 95% CI 0.39-0.68), etidronate (HR = 0.59, 95% CI 0.48-0.73) and risedronate (HR = 0.47 95% CI 0.36-0.60) were associated with reduced vertebral fracture risk. No risk reduction in forearm or humerus fractures was apparent for any bisphosphonate. Among older chronic glucocorticoid initiators, all oral bisphosphonates reduced vertebral fracture risk, yet only alendronate and risedronate reduced hip fracture risk. Results were similar between men and women. We provided compelling evidence that early initiation of oral bisphosphonates during chronic oral glucocorticoid therapy is beneficial to prevent osteoporotic fractures. © 2017 American Society for Bone and Mineral Research.

Defining hip fracture with claims data: outpatient and provider claims matter

Medicare claims are commonly used to identify hip fractures, but there is no universally accepted definition. We found that a definition using inpatient claims identified fewer fractures than a definition including outpatient and provider claims. Few additional fractures were identified by including inconsistent diagnostic and procedural codes at contiguous sites.

INTRODUCTION

Medicare claims data is commonly used in research studies to identify hip fractures, but there is no universally accepted definition of fracture. Our purpose was to describe potential misclassification when hip fractures are defined using Medicare Part A (inpatient) claims without considering Part B (outpatient and provider) claims and when inconsistent diagnostic and procedural codes occur at contiguous fracture sites (e.g., femoral shaft or pelvic).

METHODS

Participants included all long-stay nursing home residents enrolled in Medicare Parts A and B fee-for-service between 1/1/2008 and 12/31/2009 with follow-up through 12/31/2011. We compared the number of hip fractures identified using only Part A claims to (1) Part A plus Part B claims and (2) Part A and Part B claims plus discordant codes at contiguous fracture sites.

RESULTS

Among 1,257,279 long-stay residents, 40,932 (3.2%) met the definition of hip fracture using Part A claims, and 41,687 residents (3.3%) met the definition using Part B claims. 4566 hip fractures identified using Part B claims would not have been captured using Part A claims. An additional 227 hip fractures were identified after considering contiguous fracture sites.

CONCLUSIONS

When ascertaining hip fractures, a definition using outpatient and provider claims identified 11% more fractures than a definition with only inpatient claims. Future studies should publish their definition of fracture and specify if diagnostic codes from contiguous fracture sites were used.

An Assessment of the AGA and CCFA Quality Indicators in a Sample of Patients Diagnosed with Inflammatory Bowel Disease

BACKGROUND

Inflammatory bowel disease (IBD) is a chronic relapsing disease characterized by activation of the mucosal immune system and inflammation of the gastrointestinal tract. Management of IBD places a significant burden on the health care system because of the complexity of treatment, variability in patient outcomes, and chronic nature of the disease. 

OBJECTIVE

To investigate the American Gastroenterological Association (AGA) and Crohn's and Colitis Foundation of America's (CCFA) quality measurement sets in a sample of IBD patients.

METHODS

Fourteen quality measures were restated for application to a claims database and calculated using Optum Clinformatics DataMart database. Selected measures were calculated over calendar year 2011.

RESULTS

Performance measures ranged from 0.4% for AGA measure 9, prophylaxis for venous thromboembolism, to 66.9% for AGA measure 8, testing for Clostridium difficile. CCFA outcome measures ranged from 0.6% qualifying for CCFA O10, report of fecal incontinence, to 32.9% for CCFA O1, prednisone usage. In addition to Clostridium difficile testing, the use of appropriate corticosteroid-sparing therapy (51.1%) and testing for latent tuberculosis before initiating anti-tumor necrosis factor therapy (45.0%) were the highest achieved measures.

CONCLUSIONS

This is the first examination of IBD quality measures using administrative claims. Rates of achievement across measures were variable and likely affected by the ability to calculate certain measures with claims data. Future studies should further examine measurement of IBD quality indicators in claims data to assess the validity of claims-based analyses and to ascertain whether measure attainment translates into better overall health or IBD-related outcomes.

Fracture Incidence in Adult Kidney Transplant Recipients

BACKGROUND

It remains uncertain whether kidney transplant recipients are a high-risk group for fracture.

METHODS

We conducted a cohort study using Ontario, Canada health care databases to estimate the 3-, 5- and 10-year cumulative incidence of nonvertebral fracture (proximal humerus, forearm, hip) in adult kidney transplant recipients between 1994 and 2009, stratifying by sex and age (<50 versus ≥50 years) at transplant. We also assessed the 3-year cumulative incidence of all fracture locations (excluding skull, toes, and fingers) and falls, 10-year cumulative incidence of hip fracture alone, and nonvertebral fracture incidence in recipients compared to nontransplant reference groups matched on age, sex, and cohort entry year. We studied 4821 recipients (median age, 50 years).

RESULTS

Among the age and sex strata, female recipients aged 50 years or older had the highest 3-year cumulative incidence of nonvertebral fracture (3.1%; 95% confidence interval [95% CI], 2.1-4.4%). Recipients had a higher 3-year cumulative incidence of nonvertebral fracture (1.6%; 95% CI, 1.3-2.0%) compared to the general population with no previous nonvertebral fracture (0.5%; 95% CI, 0.4-0.6%; P < 0.0001) and nondialysis chronic kidney disease (1.1%; 95% CI, 0.9-1.2%; P = 0.03), but a lower fracture incidence than the general population with a previous nonvertebral fracture (2.3%; 95% CI, 1.9-2.8%; P = 0.007). The 10-year cumulative incidence of hip fracture in all recipients was 1.7% (≥3% defined as high risk in clinical guidelines).

CONCLUSIONS

Kidney transplant recipients may have a lower fracture risk than previously suggested in the literature. Results inform our understanding of fracture incidence after kidney transplantation and how it compares to nontransplant populations.

The mortality and direct medical costs of osteoporotic fractures among postmenopausal women in Taiwan

This study estimated the fracture-related mortality and direct medical costs among postmenopausal women in Taiwan by fracture types and age groups by utilizing a nationwide population-based database. Results demonstrated that hip fractures constituted the most severe and expensive complication of osteoporosis across fracture sites.

INTRODUCTION

The aims of the study were to evaluate the risk of death and direct medical costs associated with osteoporotic fractures by fracture types and age groups among postmenopausal women in Taiwan.

METHODS

This nationwide, population-based study was based on data from the National Health Insurance Research Database in Taiwan. Female patients aged 50 years and older in the fracture case cohort were matched in 1:1 ratio with randomly selected subjects in the reference control cohort by age, income-related insurance amount, urbanization level, and the Charlson comorbidity index. There were two main outcome measures of the study: age-differentiated mortality and direct medical costs in the first and subsequent years after osteoporotic fracture events among postmenopausal women. The bootstrap method by resampling with replacement was conducted to generate descriptive statistics of mortality and direct medical costs of the case and control cohorts. Student's t tests were then performed to compare mortality and costs between the two cohorts.

RESULTS

A total of 155,466 postmenopausal women in the database met the inclusion criteria for the fracture case cohort, including 22,791 hip fractures, 72,292 vertebral fractures, 15,621 upper end humerus (closed) fractures, 36,774 wrist fractures, and 7,988 multiple fractures. Analytical results demonstrated that patients experiencing osteoporotic fractures were at considerable excess risk of death and incurred substantially higher treatment costs, notably for hip fractures. Furthermore, results also revealed that the risk of mortality increased with advancing age across the spectrum of fracture sites.

CONCLUSIONS

The present study confirmed an excess mortality and higher direct medical costs associated with osteoporotic fractures. Moreover, hip fractures constituted the most severe and expensive complication of osteoporosis among fracture types.

Disparities in osteoporosis treatments

Osteoporosis treatment rates within 2 years following an index event (fragility fracture, osteoporotic bone mineral density (BMD) T-score, or osteoporosis ICD-9 codes) were determined from 2005 to 2011. Most patients were not treated. Fracture patients had the lowest treatment rate. Low treatment rates also occurred in patients that were male, black, or had non-commercial insurance.

INTRODUCTION

Clinical recognition of osteoporosis (osteoporotic BMD, assignment of an ICD-9 code, or the occurrence of fragility fractures) provides opportunities to treat patients at risk for future fracture.

METHODS

A cohort of 36,965 patients was identified from 2005 to 2011 in the Indiana Health Information Exchange, with index events after age 50 of either non-traumatic fractures, an osteoporosis ICD-9 code, or a BMD T-score ≤ -2.5. Patients with osteoporosis treatment in the preceding year were excluded. Medication records during the ensuing 2 years were extracted to identify osteoporosis treatments, demographics, comorbidities, and co-medications. Predictors of treatment were evaluated in a multivariable logistic regression model.

RESULTS

The cohort was 78 % female, 11 % black, 91 % urban-dwelling, and 53 % commercially insured. The index events were as follows: osteoporosis diagnosis (47 % of patients), fragility fracture (44 %), and osteoporotic T-scores (9 %). Within 2 years after the index event, 23.3 % received osteoporosis medications (of which, 82.2 % were oral bisphosphonates). Treatment rates were higher after osteoporosis diagnosis codes (29.3 %) or osteoporotic T-score (53.9 %) than after fracture index events (10.5 %) (p < 0.001). Age had an inverted U-shaped effect for women with highest odds around 60-65 years. Women (OR 1.86) and non-black patients (OR 1.52) were more likely to be treated (p < 0.001). Patients with public (versus commercial) insurance (OR 0.86, p < 0.001) or chronic comorbidities (ORs about 0.7-0.9, p < 0.001) were less likely to be treated.

CONCLUSION

Most osteoporosis treatment candidates remained untreated. Men, black patients, and patients with fracture or chronic comorbidities were less likely to receive treatment, representing disparity in the recognition and treatment of osteoporosis.

Diagnostic accuracy of algorithms to identify hepatitis C status, AIDS status, alcohol consumption and illicit drug use among patients living with HIV in an administrative healthcare database

PURPOSE

This study aims to develop and evaluate diagnostic algorithms for AIDS, hepatitis C status, alcohol abuse and illicit drug use in the administrative healthcare database of the Province of Quebec, Canada (Régie de l'assurance-maladie du Québec (RAMQ)).

METHODS

We selected HIV-positive patients contributing to both the RAMQ database and a local clinical database, which was used as gold standard. We developed algorithms to identify the diagnoses of interest in RAMQ using data from hospital discharge summaries and medical and pharmaceutical claims databases. We estimated and compared sensitivity, specificity, positive predictive and negative predictive values and area under receiver operating curve for each algorithm.

RESULTS

Four hundred twenty patients contributed to both databases. Prevalence of conditions of interest in the clinical database was as follows: AIDS 233 (55%), hepatitis C infection 105 (25%), alcohol abuse 106 (25%), illicit drug use 144 (34%) and intravenous drug use 107 (25%). Sensitivity to detect AIDS, hepatitis C, alcohol abuse, illicit drug use and intravenous drug use was 46% [95%CI: 39-53], 26% [18-35], 50% [37-57], 64% [55-72] and 70% [61-79], respectively. Specificity to detect these conditions was 91% [86-95], 97% [94-98], 92% [88-95], 95% [92-97] and 90% [87-93], respectively. Positive predictive values were 87% [80-92], 71% [54-85], 68% [56-78], 87% [79-93] and 72% [62-80], respectively. Area under receiver operating curve varied from 0.62 [0.57-0.65] for hepatitis C to 0.80 [0.76-0.85] for intravenous drug use.

CONCLUSIONS

Sensitivity was low to detect AIDS, alcohol abuse, illicit drug use and especially hepatitis C in RAMQ. Researchers must be aware of the potential for residual confounding and must consider additional methods to control for confounding.

Quality process measures for rheumatoid arthritis: performance from members enrolled in a national health plan

BACKGROUND

Health care quality problems are reflected in the underuse, overuse, and misuse of health care services. There is evidence suggesting that the quality of rheumatoid arthritis (RA) patient care is suboptimal, which has spurred the development of a number of systematic quality improvement metrics.

OBJECTIVE

To investigate a quality process measurement set in a sample of commercially insured RA patients.

METHODS

Medical, pharmacy, and laboratory claims for members with an RA diagnosis (ICD-9-CM 714.x) during calendar years 2008 through 2012 were extracted from the Optum Clinformatics Data Mart database. Eight process quality measures focused on RA patient response and tolerance to therapy were examined in the claims database. Measures were calculated for individual calendar years from 2009 to 2012, inclusive.

RESULTS

The majority of adult RA patients received at least 1 prescription for a disease-modifying antirheumatic drug (DMARD) across the 4 measurement years: range = 78.5%-81.6%. Erythrocyte sedimentation rate and C-reactive protein testing were also evident in the majority of the sample, with 67.1%-72.2% of newly diagnosed RA patients receiving baseline testing, and 56.0%-58.7% of existing RA patients receiving annual testing. Among methotrexate users, liver function tests were performed in 74.5%-75.7% of treated patients, serum creatinine tests in 70.1%-72.6% of patients, and complete blood count tests in 74.5%-76.0% of patients. Additionally, most patients initiating a new DMARD had a claim for a baseline serum creatinine test (68.0%-70.3%) and baseline liver function test (69.3%-71.0%).

CONCLUSIONS

Findings suggest that a majority of RA patients are attaining patient quality process measures, although a considerable proportion of patients (approximately 25%) may be receiving suboptimal care. Further studies are warranted to understand whether attainment of these measures translates into better outcomes.

Calcium channel blocker-clarithromycin drug interaction did not increase the risk of nonvertebral fracture: a population-based study

BACKGROUND

Calcium channel blocker (CCB) use in elderly patients lowers blood pressure and can increase the risk of falls and fractures. These drugs are metabolized by the cytochrome P450 3A4 (CYP3A4) enzyme, and blood concentrations of these drugs may rise to harmful levels when CYP3A4 activity is inhibited. Clarithromycin is an inhibitor of CYP3A4, whereas azithromycin is not.

OBJECTIVE

In older patients taking a CCB, we investigated whether coprescription of clarithromycin, compared with azithromycin, was associated with a higher risk of fracture.

METHODS

This was a population-level retrospective cohort study in Ontario, Canada, from 2003 to 2012 of older adults (mean age = 76 years) newly prescribed clarithromycin (n = 96 226) or azithromycin (n = 94 083) while taking a CCB (amlodipine, nifedipine, felodipine, verapamil, diltiazem). The outcome assessed within 30 days of a new coprescription was a nonvertebral fracture.

RESULTS

There were no differences in measured baseline characteristics between the clarithromycin and azithromycin groups. Amlodipine was the most commonly prescribed CCB (more than 50% of patients). Coprescribing clarithromycin, versus azithromycin, was not associated with a higher 30-day risk of nonvertebral fracture (124 patients of 96 226 taking clarithromycin [0.13%] vs 98 patients of 94 083 taking azithromycin [0.10%]; odds ratio = 1.23 [95% CI = 0.94-1.60]; P = 0.134).

CONCLUSIONS

Among older adults taking a CCB, concurrent use of clarithromycin, compared with azithromycin, was not associated with a statistically significantly greater 30-day risk of nonvertebral fracture.

Rates of non-vertebral osteoporotic fractures in rheumatoid arthritis and postfracture osteoporosis care in a period of evolving clinical practice guidelines

In 2002, guidelines for the management of osteoporosis were published by Osteoporosis Canada and widely disseminated. We aimed to assess if those guidelines had any impact on clinical practice and ultimately on fracture rates in rheumatoid arthritis (RA). This was an observational study using the Quebec healthcare databases. To quantify the use of osteoporosis drugs, hormone replacement therapy (HRT), bone mineral density (BMD) testing, and fracture rates, quarterly age-standardized rates between 1998 and 2008 were calculated. A time series approach was used to predict fracture rates from 2003 onward, based on the earlier data. The provision of postfracture osteoporosis care, as defined by the initiation of osteoporosis drugs, HRT, or BMD testing, was examined; and logistic regressions identified factors associated with care. The study population in each quarter was mainly composed of older women. The use of osteoporosis drugs and BMD testing increased over the study period. The actual fracture rates from 2003 onward fell within the projected rates and their 95 % CI indicating no reduction. A total of 1,279 subjects were included in the postfracture care analysis. Over time, the likelihood of receiving osteoporosis care increased by 64 % (OR = 1.64, 95 % CI 1.27-2.11), and the two strongest predictors of care were female gender and corticosteroid use. Over our study period, fracture rates remained stable in this RA population. However, the use of osteoporosis drugs, BMD testing, and provision of postfracture osteoporosis care improved, which may result from gradual adoption of guidelines.

Study design considerations for a large simple trial of bisphosphonates

PURPOSE OF REVIEW

To evaluate design considerations for an osteoporosis large simple trial (LST).

RECENT FINDINGS

There is a growing need for more comparative effectiveness studies in osteoporosis. However, the design of such studies is challenged by issues surrounding study design, choosing comparator therapies, participant and outcome selection, data acquisition and data analysis.

SUMMARY

LSTs are real-world studies that can have high levels of generalizability, if designed properly. We propose novel approaches to LSTs focusing on some of the challenges associated with comparative effectiveness research in osteoporosis. In this review, we discuss these considerations in the context of bisphosphonate active comparator initiation and discontinuation trials, while presenting advantages and disadvantages of the various design aspects for such studies.

Biologic disease-modifying anti-rheumatic drugs and the risk of non-vertebral osteoporotic fractures in patients with rheumatoid arthritis aged 50 years and over

Prevention of bone mineral density loss in rheumatoid arthritis (RA) has been associated with use of biologic disease-modifying anti-rheumatic drugs (DMARDs). However, in this study, we could not demonstrate a reduction in the risk of non-vertebral fractures. Additional research is required to clarify the impact of biologic DMARDs on fracture risk in RA.

INTRODUCTION

Small studies have suggested biologic DMARDs preserve bone mineral density at 6-12 months. Our objective was to determine the association between biologic DMARD use and the risk of non-vertebral osteoporotic fractures in RA subjects aged ≥50 years.

METHODS

A nested case-control study was conducted using Quebec physician billing and hospital discharge data. RA subjects were identified from International Classification of Disease-9/10 codes in billing and hospitalisation data and followed from cohort entry until the earliest of non-vertebral osteoporotic fracture, death, or end of study period. Controls were matched to cases (4:1 ratio) on age, sex, and date of cohort entry. Biologic DMARD exposure was defined as being on treatment for ≥180 days pre-fracture (index). Conditional logistic regression was used, adjusting for indicators of RA severity, comorbidity, drugs influencing fracture risk, and measures of health care utilisation.

RESULTS

Over the study period, 1,515 cases were identified (6,023 controls). The most frequent fracture site was hip/femur (42.3%). In total, 172 subjects (49 cases and 123 controls) were exposed to biologic DMARDs. The median duration of exposure was 735 (interquartile range (IQR), 564) and 645 (IQR, 903) days in cases and controls, respectively. We were unable to demonstrate an association between biologic DMARDs and fracture risk (odds ratio, 1.03; 95% confidence interval, 0.42-2.53). RA duration significantly increased the fracture risk.

CONCLUSIONS

Despite the positive impact of biologic DMARDs on bone remodelling observed in small studies, we were unable to demonstrate a reduction in the risk of non-vertebral osteoporotic fractures in older adults with RA.

Use of administrative data for national surveillance of osteoporosis and related fractures in Canada: results from a feasibility study

Using administrative data healthcare databases from five Canadian provinces, we compared prevalence estimates of diagnosed osteoporosis and incidence rates for related fractures in Canada. The algorithms adopted showed consistent age and sex patterns across all provinces and will be suitable for national surveillance and monitoring.

PURPOSE

This study aims to evaluate the feasibility of using provincial population-based administrative data to develop a national surveillance system of diagnosed osteoporosis and related fractures (forearm, humerus, vertebra, pelvis, and hip) in Canada.

METHODS

Linked healthcare databases from five provinces representing approximately 85 % of the Canadian population were used. Multiple algorithms combining hospitalizations, physician visits, and osteoporosis prescription drug dispensations were evaluated in each province. The adopted algorithms for diagnosed osteoporosis and incident fractures combined hospitalizations and physician visits based on 3 years and 1 year of data, respectively. Sex-specific age-standardized osteoporosis prevalence and fracture incidence rates were estimated for each province from 1995/1996 to 2007/2008.

RESULTS

Age-standardized prevalence of diagnosed osteoporosis in those ≥50 years increased over the study period but stabilized in the most recent years. Using the adopted algorithm produced provincial estimates ranging from 5.6 to 10.5 % for 2007/2008, with consistent age and sex patterns across provinces. The use of osteoporosis drug data resulted in higher osteoporosis estimates compared with estimates without drug data. Age-standardized incidence of fractures in those ≥40 years showed similar age and sex patterns across all provinces. The highest level of agreement among provinces was for hip and humerus fracture rates, with wider provincial variation for forearm, vertebra, and pelvis fractures.

CONCLUSIONS

Our results are consistent with previous validation works and confirm that the algorithms adopted will be suitable for the national monitoring of diagnosed osteoporosis and related fractures. A similar approach may be applicable to other countries with high-quality administrative data.

The validity of administrative data to identify hip fractures is high--a systematic review

OBJECTIVE

To determine the validity of the diagnostic algorithms for osteoporosis and fractures in administrative data.

STUDY DESIGN AND SETTING

A systematic search was conducted to identify studies that reported the validity of a diagnostic algorithm for osteoporosis and/or fractures using administrative data.

RESULTS

Twelve studies were reviewed. The validity of the diagnosis of osteoporosis in administrative data was fair when at least 3 years of data from hospital and physician visit claims were used (area under the receiver operating characteristic [ROC] curve [AUC]=0.70) or when pharmacy data were used (with or without the use of hospital and physician visit claims data, AUC>0.70). Nonetheless, the positive predictive values (PPVs) were low (<0.60). There was good evidence to support the use of hospital data to identify hip fractures (sensitivity: 69-97%; PPV: 63-96%) and the addition of physician claims diagnostic and procedural codes to hospitalization diagnostic codes improved these characteristics (sensitivity: 83-97%; PPV: 86-98%). Vertebral fractures were difficult to identify using administrative data. There was some evidence to support the use of administrative data to define other fractures that do not require hospitalization.

CONCLUSIONS

Administrative data can be used to identify hip fractures. Existing diagnostic algorithms to identify osteoporosis and vertebral fractures in administrative data are suboptimal.

Misclassification of incident conditions using claims data: impact of varying the period used to exclude pre-existing disease

Background

Estimating the incidence of medical conditions using claims data often requires constructing a prevalence period that predates an event of interest, for instance the diagnosis of cancer, to exclude those with pre-existing conditions from the incidence risk set. Those conditions missed during the prevalence period may be misclassified as incident conditions (false positives) after the event of interest.

Using Medicare claims, we examined the impact of selecting shorter versus longer prevalence periods on the incidence and misclassification of 12 relatively common conditions in older persons.

Methods

The source of data for this study was the National Cancer Institute’s Surveillance, Epidemiology, and End Results cancer registry linked to Medicare claims. Two cohorts of women were included: 33,731 diagnosed with breast cancer between 2000 and 2002, who had ≥ 36 months of Medicare eligibility prior to cancer, the event of interest; and 101,649 without cancer meeting the same Medicare eligibility criterion. Cancer patients were followed from 36 months before cancer diagnosis (prevalence period) up to 3 months after diagnosis (incidence period). Non-cancer patients were followed for up to 39 months after the beginning of Medicare eligibility. A sham date was inserted after 36 months to separate the prevalence and incidence periods. Using 36 months as the gold standard, the prevalence period was then shortened in 6-month increments to examine the impact on the number of conditions first detected during the incidence period.

Results

In the breast cancer cohort, shortening the prevalence period from 36 to 6 months increased the incidence rates (per 1,000 patients) of all conditions; for example: hypertension 196 to 243; diabetes 34 to 76; chronic obstructive pulmonary disease 29 to 46; osteoarthritis 27 to 36; congestive heart failure 20 to 36; osteoporosis 22 to 29; and cerebrovascular disease 13 to 21. Shortening the prevalence period has less impact on those without cancer.

Conclusions

Selecting a short prevalence period to rule out pre-existing conditions can, through misclassification, substantially inflate estimates of incident conditions. In incidence studies based on Medicare claims, selecting a prevalence period of ≥24 months balances the need to exclude pre-existing conditions with retaining the largest possible cohort.

Direct medical resource utilization associated with osteoporosis-related nonvertebral fractures in postmenopausal women

The purposes of this study were to assess direct medical resource utilization related to the treatment of nonvertebral osteoporotic fractures within 1 year postfracture and to evaluate whether age impacts resource utilization. A previously-validated algorithm for physician claims databases identified 15,327 women aged 50 years or older with incident fracture at nonvertebral osteoporotic sites between January 1, 2004 and December 31, 2005. Administrative databases of the health services available to all residents in Quebec served to study fracture-related health resource utilization in the year after fracture. Data were linked by a unique personal identifier, creating a longitudinal cohort of all fracture cases for health resource utilization. The proportions of fractures treated by open reduction, closed reduction, immobilization or follow-up by an orthopedic surgeon (OS) were evaluated. The mean number of claims for consultation with an OS or other clinicians in inpatient and outpatient visits, the hospitalization rate and length of stay (LOS) were assessed. Hip/femur fractures represented the highest rate of resource utilization because the majority of them required surgery (91.1%) and hospitalization (94.5%) with a mean (median) LOS of 39.2 (31) days. However, other nonvertebral fracture types needed significant clinical care related to surgery (27.9%), follow-up consultation with an OS (77.6%), and hospitalization (27.3% of total LOS). Even pelvic fractures, which often do not require surgical treatment, commanded high resource utilization due to the high hospitalization rate (67.4%) with mean (median) LOS of 34.2 (26) days. Moreover, age was an important determinant of health resource utilization, being associated with an increased number of visits to other physicians, hospitalization, and length of hospitalization (LOS), admissions to long term care (LTC), and death. Osteoporosis-related fractures accounted for substantial healthcare resource utilization. With an aging population and increased prevalence of fractures, strategies for osteoporosis management need to be introduced to reduce the healthcare burden.

Recent trends in hip fracture rates by race/ethnicity among older US adults

Hip fracture incidence has declined among whites in the United States since 1995, but data on recent trends in racial and ethnic minorities are limited. The goal of this analysis was to investigate hip fracture incidence trends in racial/ethnic subgroups of older Medicare beneficiaries. We conducted a cohort study to determine annual hip fracture incidence rates from 2000 through 2009 using the Medicare national random 5% sample. Beneficiaries were eligible if they were ≥65 years of age and had 90 days of consecutive full fee-for-service Medicare coverage with no hip fracture claims. Race/ethnicity was self-reported. The incidence of hip fracture was identified using hospital diagnosis codes or outpatient diagnosis codes paired with fracture repair procedure codes. We computed age-standardized race/ethnicity-specific incidence rates and assessed trends in the rates over time using linear regression. On average, 821,475 women and 632,162 men were included in the analysis each year. Beneficiaries were predominantly white (88%), with African, Hispanic, and Asian Americans making up 8%, 1.5%, and 1.5% of the population, respectively. We identified 102,849, 4,119, 813, and 1,294 hip fractures in white, black, Asian, and Hispanic beneficiaries over the 10 years. A significant decreasing trend (p < 0.05) in hip fracture incidence from 2000-2001 to 2008-2009 was present in white women and men. Black and Asian beneficiaries experienced nonsignificant declines. Irrespective of gender, the largest rate of decline was seen in beneficiaries ≥75 years of age. The overall and age-specific rates of Hispanic women or men changed minimally over time. Hip fracture incidence rates continued to decline in recent years among white Medicare beneficiaries. Further research is needed to understand mechanisms responsible for declining rates in some and not others, as hip fractures continue to be a major problem among the elderly.