grant

Pooling International Cohort Studies of Long-Term Bisphosphonate Use and Atypical Femur Fractures

Organization UNIVERSITY OF CALIFORNIA, SAN FRANCISCOLocation SAN FRANCISCO, UNITED STATESPosted 19 Sept 2022Deadline 31 Aug 2027
NIHUS FederalResearch GrantFY2025AccountingAddressAdverse ExperienceAdverse eventAnalgesic ManagementBenefits and RisksBisphosphonatesBone DensityBone Mineral DensityCaliforniaCase StudyCausalityCharacteristicsClinicalCohort StudiesCommunicationConcurrent StudiesDataData PoolingDecision MakingDevelopmentDrug usageDrugsEpidemiologic ResearchEpidemiologic StudiesEpidemiological StudiesEpidemiologyEpidemiology ResearchEquationEquilibriumEthnic OriginEthnicityEtiologyFatigue FracturesFearFemoral FracturesFractureFracture due to osteoporosisFrightFundingGeneral RadiologyGoalsHip FracturesHolidaysIndividualInternationalIntravenousJointsLong-term cohort studyLongitudinal cohort studyMarch FracturesMeasuresMedicationMedication ManagementModelingMorbidityMorbidity - disease rateNIAMSNational Institute of Arthritis, and Musculoskeletal, and Skin DiseasesNeeds AssessmentOsteoporosisOsteoporosis with fractureOsteoporoticOsteoporotic fractureOutcomePatient CarePatient Care DeliveryPatientsPatternPharmaceutical PreparationsPharmaciesPharmacologic ManagementPharmacy facilityPhysical activityPhysiciansPolicy MakerPopulation StudyPredicting RiskPreventionProviderPublishingRaceRacesRadiographyRadiologyRadiology SpecialtyRecommendationRecordsReportingRiskRisk AssessmentRisk FactorsRoentgenographySERMsSafetySamplingSelective Estrogen Receptor ModulatorsSpinal FracturesStress FracturesSubgroupTreatment PeriodWomanadjudicationadjudicative process and procedureadverse consequenceadverse outcomeanalytical methodbalancebalance functionbiphosphonatebisphosphonatebone fracturecare for patientscare of patientscaring for patientscase reportcausationclinical decision-makingclinical practiceclinical riskco-morbidco-morbiditycohortcomorbiditycomputer based predictiondata harmonizationdesigndesigningdevelopmentaldiphosphonatedisease causationdrug usedrug/agentepidemiologicepidemiologic investigationepidemiologicalepidemiology studyevidence basefallsfemur fractureforecasting riskfracture riskharmonized datahigh riskimprovedindividual patientmedication therapy managementmortalitynovelosteoporosis associated fractureosteoporosis related fractureosteoporosis with pathological fracturepopulation basedpopulation-based studypopulation-level studypredict riskpredict riskspredicted riskpredicted riskspredicting riskspredictive modelingpredictive riskpredictive toolspredicts riskprogramsracialracial backgroundracial originradiological imagingrisk predictionrisk prediction algorithmrisk prediction modelrisk predictionsspine fracturestudies of populationsstudy of the populationtargeted drug therapytargeted drug treatmentstargeted therapeutictargeted therapeutic agentstargeted therapytargeted treatmenttooltreatment daystreatment durationtreatment guidelinestreatment strategytrendvertebral fracture
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Full Description

Project Summary
Use of bisphosphonate (BP) medications for the prevention of fractures is declining, partially due to patient and

provider fears about the occurrence of atypical femur fractures (AFF), which are clearly associated with long-

term bisphosphonate use. Many individuals are choosing to not use these medications at all rather than risk

having this rare outcome. This decision may leave individuals at high risk of morbidity and mortality. Balancing

the risk of typical osteoporosis-related fractures, such as hip or vertebral fractures, with the risk of the much rarer

AFF, is an important component of decision-making by physicians and patients about medication use. Further,

an understanding of which subgroups of women may be at greater or lesser risk of AFF will be useful when

making clinical decisions about initiation of medication, duration of treatment, and use of drug holidays. The

proposed study will address these issues by combining individual-level data from three large, population-based

cohort studies with radiographically verified AFFs, comprehensive longitudinal medication exposure, data

harmonized definitions of other covariables, and centrally coordinated statistical programming. We will be

focusing on two Specific Aims. In Aim 1, we will examine the risks of long-term use of BP for the prevention of

AFF by determining the independent effects of BP treatment and drug holidays on AFF risk, including the

potential interplay between pre-holiday duration of treatment and duration of holiday. In novel exploratory

analyses, we will determine the effects of re-initiation of BPs after a drug holiday. We will also evaluate the

relationships between AFF risk and the use of other fracture prevention medications (e.g., intravenous BPs,

denosumab and SERMs), other potential risk factors (e.g., physical activity, bone mineral density (BMD), race),

and comorbidities. In Aim 2, we will use the pooled data from our 3 cohorts to develop and validate predictive

models incorporating patterns of long-term BP treatment, drug holidays and clinical risk factors, to

comprehensively model the expected fracture protection and potential harms for individual patients and evaluate

the group-level balance between AFF risk and osteoporosis-related fracture prevention. These models will allow

clinicians to quantify individualized risk, balancing the benefits and harms of bisphosphonate treatment

accounting for other risk factors. Development of these predictive tools and addressing important gaps in the

scientific evidence related to BP treatment, drug holidays, and re-initiation of BP or other anti-osteoporosis

medications will have an immediate positive impact on clinical practice and patient care by encouraging and

improving the optimal use of osteoporosis medications.

Grant Number: 3R01AR082562-04S1
NIH Institute/Center: NIH

Principal Investigator: Douglas Bauer

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