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Figure.  Strengthening the Reporting of Observational Studies in Epidemiology Analytic Sample Flow Diagram
Strengthening the Reporting of Observational Studies in Epidemiology Analytic Sample Flow Diagram
Table 1.  Frequencies, Events, and Event Rates per 1000 Person-Years of Initial and Subsequent Clinical Fracture,a Stratified by Age and Race/Ethnicity
Frequencies, Events, and Event Rates per 1000 Person-Years of Initial and Subsequent Clinical Fracture,a Stratified by Age and Race/Ethnicity
Table 2.  Baseline Characteristics by Initial Fracture Locationa for 66 874 Participants
Baseline Characteristics by Initial Fracture Locationa for 66 874 Participants
Table 3.  Frequencies, Events, and Event Rates per 1000 Person-Years of Subsequent Clinical Fracture,a Stratified by Whether the Initial Fracture Was Traumatic or Nontraumatic and Baseline Age
Frequencies, Events, and Event Rates per 1000 Person-Years of Subsequent Clinical Fracture,a Stratified by Whether the Initial Fracture Was Traumatic or Nontraumatic and Baseline Age
Table 4.  Associations between Initial Clinical Fracture,a Overall and by Traumatic vs Nontraumatic Mechanism, and Subsequent Clinical Fracture
Associations between Initial Clinical Fracture,a Overall and by Traumatic vs Nontraumatic Mechanism, and Subsequent Clinical Fracture
1.
U.S. Preventive Services Task Force.  Screening for osteoporosis: U.S. preventive services task force recommendation statement.   Ann Intern Med. 2011;154(5):356-364. doi:10.7326/0003-4819-154-5-201103010-00307PubMedGoogle ScholarCrossref
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Curry  SJ, Krist  AH, Owens  DK,  et al; US Preventive Services Task Force.  Screening for osteoporosis to prevent fractures: US Preventive Services Task Force recommendation statement.   JAMA. 2018;319(24):2521-2531. doi:10.1001/jama.2018.7498PubMedGoogle Scholar
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Qaseem  A, Forciea  MA, McLean  RM, Denberg  TD; Clinical Guidelines Committee of the American College of Physicians.  Treatment of low bone density or osteoporosis to prevent fractures in men and women: a clinical practice guideline update from the American College of Physicians.   Ann Intern Med. 2017;166(11):818-839. doi:10.7326/M15-1361PubMedGoogle ScholarCrossref
4.
Camacho  PM, Petak  SM, Binkley  N,  et al.  American Association of Clinical Endocrinologists/American College of Endocrinology clinical practice guidelines for the diagnosis and treatment of postmenopausal osteoporosis—2020 update.   Endocr Pract. 2020;26(suppl 1):1-46. doi:10.4158/GL-2020-0524SUPPLPubMedGoogle ScholarCrossref
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The Women’s Health Initiative Study Group.  Design of the Women’s Health Initiative clinical trial and observational study.   Control Clin Trials. 1998;19(1):61-109. doi:10.1016/S0197-2456(97)00078-0PubMedGoogle ScholarCrossref
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Patterson  RE, Kristal  AR, Tinker  LF, Carter  RA, Bolton  MP, Agurs-Collins  T.  Measurement characteristics of the Women’s Health Initiative food frequency questionnaire.   Ann Epidemiol. 1999;9(3):178-187. doi:10.1016/S1047-2797(98)00055-6PubMedGoogle ScholarCrossref
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Andresen  EM, Bowley  N, Rothenberg  BM, Panzer  R, Katz  P.  Test-retest performance of a mailed version of the Medical Outcomes Study 36-Item Short-Form Health Survey among older adults.   Med Care. 1996;34(12):1165-1170. doi:10.1097/00005650-199612000-00001PubMedGoogle ScholarCrossref
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Ware  JE  Jr, Sherbourne  CD.  The MOS 36-item short-form health survey (SF-36). I. conceptual framework and item selection.   Med Care. 1992;30(6):473-483. doi:10.1097/00005650-199206000-00002PubMedGoogle ScholarCrossref
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Hays  RD, Sherbourne  CD, Mazel  RM.  The RAND 36-Item Health Survey 1.0.   Health Econ. 1993;2(3):217-227. doi:10.1002/hec.4730020305PubMedGoogle ScholarCrossref
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Pettee Gabriel  K, McClain  JJ, Lee  CD,  et al.  Evaluation of physical activity measures used in middle-aged women.   Med Sci Sports Exerc. 2009;41(7):1403-1412. doi:10.1249/MSS.0b013e31819b2482PubMedGoogle ScholarCrossref
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Meyer  AM, Evenson  KR, Morimoto  L, Siscovick  D, White  E.  Test-retest reliability of the Women’s Health Initiative physical activity questionnaire.   Med Sci Sports Exerc. 2009;41(3):530-538. doi:10.1249/MSS.0b013e31818ace55PubMedGoogle ScholarCrossref
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Manson  JE, Greenland  P, LaCroix  AZ,  et al.  Walking compared with vigorous exercise for the prevention of cardiovascular events in women.   N Engl J Med. 2002;347(10):716-725. doi:10.1056/NEJMoa021067PubMedGoogle ScholarCrossref
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Cuddihy  MT, Gabriel  SE, Crowson  CS, O’Fallon  WM, Melton  LJ  III.  Forearm fractures as predictors of subsequent osteoporotic fractures.   Osteoporos Int. 1999;9(6):469-475. doi:10.1007/s001980050172PubMedGoogle ScholarCrossref
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Mackey  DC, Lui  LY, Cawthon  PM,  et al; Study of Osteoporotic Fractures and Osteoporotic Fractures in Men Study Research Groups.  High-trauma fractures and low bone mineral density in older women and men.   JAMA. 2007;298(20):2381-2388. doi:10.1001/jama.298.20.2381PubMedGoogle ScholarCrossref
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Leslie  WD, Schousboe  JT, Morin  SN,  et al.  Fracture risk following high-trauma versus low-trauma fracture: a registry-based cohort study.   Osteoporos Int. 2020;31(6):1059-1067. doi:10.1007/s00198-019-05274-2PubMedGoogle ScholarCrossref
16.
Ensrud  KE, Blackwell  TL, Cawthon  PM,  et al; Osteoporotic Fractures in Men (MrOS) Study of Osteoporotic Fractures (SOF) Research Groups.  Degree of trauma differs for major osteoporotic fracture events in older men versus older women.   J Bone Miner Res. 2016;31(1):204-207. doi:10.1002/jbmr.2589PubMedGoogle ScholarCrossref
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National Osteoporosis Foundation.  Clinician's Guide to Prevention and Treatment of Osteoporosis. National Osteoporosis Foundation;2014.
3 Comments for this article
EXPAND ALL
Not convinced that traumatic fractures carry the same risk for subsequent fractures as osteoporotic fractures...
David Karpf, MD | Stanford University School of Medicine
The results of this analysis of the WHI data by my esteemed colleagues are compelling, if somewhat surprising. Traumatic fractures increase the risk of a 2nd fracture to the same extent as non-traumatic, osteoporotic fragility fractures?

Although the 95% CIs of the predictive value of a prior nontraumatic and traumatic fracture for predicting incident fracture overlapped, the point estimate for traumatic fractures predicting second fractures was numerically lower (1.25) than with nontraumatic fragility fractures (1.52), and the adjusted HR for subsequent fracture after traumatic fracture was significantly lower vs nontraumatic fracture [HR 0.82 (95% CI, 0.68-1.00);P = 0.05).
Suggesting that perhaps fragility fractures may be a greater risk factor than a very traumatic fracture, which makes sense.

Biomechanical studies have demonstrated that the force generated by falling from a standing height are sufficient to break a normal hip or wrist. This is supported by the incidence of wrist fractures in individuals at peak bone mass in their 20s from falling while skateboarding, rollerblading, or rollerskating, as well as by the Mayo Olmstead County epidemiological data showing a decline in the age-related incidence of wrist fractures coinciding with the hyperbolic increase in hip fracture incidence in women in their 70s to 80s, (1) strongly suggesting that by falling sideways or backwards instead of forwards results in trading a wrist fracture for a hip fracture. And, importantly, by the Study of Osteoporotic Fractures analysis by Dana Seely, et al. (2). In that study, wrist fractures past the age of 45 even in women at least 65 years of age and older barely made the "osteoporotic" cut-off, showing a barely significant HR of 1.3 in the lowest quartile of baseline bone mineral density vs the quartile with the highest baseline bone mineral density. In contrast to the substantially higher HRs with vertebral and hip fractures.

My question to the authors: did the relative risk of a subsequent fracture following a traumatic fracture differ between those subjects who reported a fall in the preceding 12 months vs those who did not?

David B. Karpf, MD
Adj.Clinical Professor of Endocrinology, Gerontology & Metabolism
Stanford University School of Medicine
Attending, Osteoporosis & Metabolic Bone Disease Clinic
Stanford University Hospital & Clinics

Co-Chair, MSAB
American Bone Health

Fellow, ASBMR

1 L J Melton 3rd, et al. Fracture incidence in Olmsted County, Minnesota: comparison of urban with rural rates and changes in urban rates over time. Osteoporos Int. 1999;9(1):29-37.
2 Seeley DG, et al. Which fractures are associated with low appendicular bone mass in elderly women? Ann Int Med 1991;115(11):837-842.

CONFLICT OF INTEREST: None Reported
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Reply to Dr. David Karpf
Carolyn Crandall, MD, MS, FACP | David Geffen School of Medicine at University of California, Los Angeles
We read with interest the question raised by Dr. Karpf's comment. Because of how our study questionnaires were worded, we cannot ascertain the sequence of falls and fractures in the prior 12 months. That is, both falls and fractures in the prior 12 months were reported concurrently on annual questionnaires, and we cannot know whether falls preceded fracture or vice versa within a given year.

Carolyn J. Crandall, MD, MS, FACP, Fellow ASBMR
Professor of Medicine
David Geffen School of Medicine at University of California, Los Angeles
CONFLICT OF INTEREST: None Reported
A fracture is a fracture is a fracture?
Olle Svensson, Professor emeritus | Umeå University, Sweden
Crandall & al argue that the distinction between high energy and low energy fracture is not relevant when predicting the risk for subsequent fractures.1 This is probably true, but their terminology—traumatic versus non traumatic fracture—is problematic. Almost all fractures, even pathological ones, are preceded by an injury event. Since kinetic energy is proportional to mass * (velocity)2, even falls from standing height and less can break any bone.
In vivo, protective neuromuscular reflexes are not less important than bone strength to distribute kinetic energy at injuries.2 Any trauma can be regarded as a natural biomechanical experiment with three possible outcomes:
death, injury (about 20% fractures in most emergency department materials), and no injury at all. The neuromuscular mechanical forces are immensely complex and cannot yet be captured in biomechanical computer animations.3
Mechanically, bones, like all biological tissues, are highly anisotropic, i.e., much stronger in physiological directions—for the femur axially. Moreover, nature has not over-dimensioned tissue strength very much above the loads exerted by the activities of daily life.4 In fact, in biomechanical bench tests even moderate impacts can fracture bone, e.g. vertebrae, using forces that overlap with physiological loads. On the other hand, there are anecdotal reports of falls from very large heights, even from air planes, causing only minor injuries.5 And the kinetic energy released when two American football players collide—and then continue the match—would kill most octogenarians.
This leads us to another weakness in the study. Only 6% of the subjects were over 75, whereas some 75% of the hip fracture patients are. Hip fracture incidence increases 40-fold between 50 and 80+, with a morbidity and mortality comparable with metastatic cancer6, not only because of the injury per se, but also because of the patients’ general condition.
In fact, only some 20% of postmenopausal women with fragility fracture do have osteoporosis7-10, and due to natural ageing effects about half of the hip fracture patients, most have osteopenia. This calls for new strategies in osteoporosis and falls prevention.11,12 All fractures are not equal.

References

1. Crandall CJ, Larson JC, LaCroix AZ, et al. Risk of Subsequent Fractures in Postmenopausal Women After Nontraumatic vs Traumatic Fractures. JAMA internal medicine. 2021.

2. Currey J. How well are bones designed to resist fracture? J Bone Miner Res. 2003;8:591-598.

3. Luo Y. On challenges in clinical assessment of hip fracture risk using image-based biomechanical modelling: a critical review. J Bone Miner Metab. 2021;39(4):523-533.

4. Dobzhansky T. Nothing in Biology Makes Sense except in the Light of Evolution. National Association of Biology Teachers. http://www.jstor.org/stable/4444260. Published 1973. Accessed April 4, 2020.

5. De Haven H. Mechanical analysis of survival in falls from heights of fifty to one hundred and fifty feet. Inj Prev. 2000;6:62–68.

6. Michaelsson K, Nordstrom P, Nordstrom A, et al. Impact of hip fracture on mortality: a cohort study in hip fracture discordant identical twins. J Bone Miner Res. 2014;29(2):424-431.

7. Siris EC, YT. Abbott, TA. Barrett-Connor, E. Miller, PD. Wehren, LE. Berger, ML. Bone mineral density thresholds for pharmacological intervention to prevent fractures. Arch Int Med. 2004;164:1108–1112.

8. Trajanoska K, Schoufour JD, de Jonge EAL, et al. Fracture incidence and secular trends between 1989 and 2013 in a population based cohort: The Rotterdam Study.

9. Tei RMH, Ramlau-Hansen CH, Plana-Ripoll O, Brink O, Langdahl BL. OFELIA: Prevalence of Osteoporosis in Fragility Fracture Patients. Calcif Tissue Int. 2019;104(1):102-114.

10. Mai HT, Tran TS, Ho-Le TP, Center JR, Eisman JA, Nguyen TV. Two-Thirds of All Fractures Are Not Attributable to Osteoporosis and Advancing Age: Implications for Fracture Prevention. J Clin Endocrinol Metab. 2019;104(8):3514-3520.

11. Castle SC. New Strategies for Falls Prevention. Clin Geriatr Med. 2019;35(2):xi-xiv. Reid IR. A broader strategy for osteoporosis interventions. Nat Rev Endocrinol.2020;Jun;16(6):333-339.

12. Reid IR. A broader strategy for osteoporosis interventions. Nat Rev Endocrinol. 2020;Jun;16(6):333-339.

CONFLICT OF INTEREST: None Reported
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Original Investigation
June 7, 2021

Risk of Subsequent Fractures in Postmenopausal Women After Nontraumatic vs Traumatic Fractures

Author Affiliations
  • 1Division of General Internal Medicine and Health Services Research, David Geffen School of Medicine at University of California, Los Angeles
  • 2Fred Hutchinson Cancer Research Center, Seattle, Washington
  • 3Department of Epidemiology, Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla
  • 4Center for Healthcare Policy and Research, Department of Medicine, UC Davis Medical Center Sacramento, California
  • 5Department of Epidemiology and Environmental Health, University at Buffalo, State University of New York, Buffalo
  • 6Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis
  • 7General Internal Medicine, University of Florida College of Medicine, Gainesville
  • 8California Pacific Medical Center, San Francisco
  • 9Veterans Affairs Palo Alto Health Care System, Palo Alto, California
  • 10Department of Psychiatry and Behavioral Sciences, Stanford University, Palo Alto, California
  • 11The Ohio State University Wexner Medical Center, Department of Internal Medicine, Columbus
  • 12The Ohio State University Wexner Medical Center, General Internal Medicine and Geriatrics, Columbus
  • 13Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania
JAMA Intern Med. 2021;181(8):1055-1063. doi:10.1001/jamainternmed.2021.2617
Key Points

Question  What is the risk of fracture subsequent to traumatic fractures vs nontraumatic fractures among postmenopausal women?

Findings  In this large prospective cohort study of 66 874 postmenopausal women, future fracture risk after initial traumatic fracture was similar to that after nontraumatic fracture.

Meaning  Clinical osteoporosis assessment of postmenopausal women should include high-trauma as well as low-trauma fractures.

Abstract

Importance  The burden of fractures among postmenopausal women is high. Although nontraumatic fractures are strong risk factors for future fracture, current clinical guidelines do not address traumatic fractures.

Objective  To determine how future fracture risk varies according to whether an initial fracture is traumatic or nontraumatic.

Design, Setting, and Participants  We conducted a prospective observational study using data from the Women’s Health Initiative Study (WHI) (enrollment, September 1994-December 1998; data analysis, September 2020 to March 2021), which enrolled postmenopausal women aged 50 to 79 years at baseline at 40 US clinical centers. The WHI Clinical Trials and WHI Bone Density Substudy, conducted at 3 of the clinical centers, asked participants to report the mechanism of incident fractures. Of 75 335 participants, information regarding incident fracture and covariates was available for 66 874 participants (88.8%), who comprised the analytic sample of this study. Mean (SD) follow-up was 8.1 (1.6) years.

Interventions  None.

Main Outcomes and Measures  Incident clinical fractures were self-reported at least annually and confirmed using medical records. Participants reported the mechanism of incident fracture as traumatic or nontraumatic.

Results  Among the 66 874 participants in the analytic sample (mean [SD] age, 63.1 [7.0] years and 65.3 [7.2] years among women without and with clinical fracture, respectively), 7142 participants (10.7%) experienced incident fracture during the study follow-up period. The adjusted hazard ratio (aHR) of subsequent fracture after initial fracture was 1.49 (95% CI, 1.38-1.61). Among women whose initial fracture was traumatic, the association between initial fracture and subsequent fracture was significantly increased (aHR, 1.25; 95% CI, 1.06-1.48). Among women whose initial fracture was nontraumatic, the association between initial fracture and subsequent fracture was also increased (aHR, 1.52; 95% CI, 1.37-1.68). Confidence intervals for associations between initial fracture and subsequent fracture were overlapping for traumatic and nontraumatic initial fracture strata.

Conclusions and Relevance  In this cohort study, among postmenopausal women older than 50 years, fracture was associated with a greater risk of subsequent fracture regardless of whether the fracture was traumatic or nontraumatic. These findings suggest that clinical osteoporosis assessment should include high-trauma as well as low-trauma fractures.

Introduction

One in 2 postmenopausal women will have an osteoporosis-related fracture during their remaining lifetimes.1 Fractures can result in loss of independence, chronic pain and disability, decreased quality of life, and increased mortality.2 Nontraumatic, or fragility fractures, are strong risk factors for future fracture. However, it is unclear whether traumatic fractures are associated with increased risk of subsequent fractures, particularly among younger postmenopausal women (age 50-64 years). Moreover, clinical osteoporosis guidelines do not mention traumatic fractures. For example, to our knowledge, clinical guidelines recommend considering pharmacologic therapy for postmenopausal women and men 50 years or older who have experienced fragility fractures3 or certain types of fragility fractures (ie, vertebral or hip fragility fractures),4 but do not provide guidance regarding traumatic fractures.

To our knowledge, no published studies have prospectively examined whether subsequent fracture risk differs according to whether an initial fracture is traumatic or nontraumatic among younger postmenopausal women in the US. A comparison of traumatic fractures and nontraumatic fractures in association with risk of subsequent fracture has the potential to affect clinical counseling and future clinical practice guidelines. The goal of this study was to determine how future fracture risk varies according to whether an initial fracture is traumatic or nontraumatic.

Methods
The Women’s Health Initiative Study Design

Between 1993 and 1998, the Women’s Health Initiative (WHI) study enrolled 161 808 postmenopausal women aged 50 to 79 years who were recruited at 40 US clinical sites.5 The WHI Observational Study (WHI-OS) examined risk factors for, and the course of, important causes of morbidity and mortality in postmenopausal women. Women with serious cardiac, pulmonary, kidney, and liver conditions were excluded from the study. The WHI Clinical Trials (WHI-CT) tested 3 interventions: menopausal hormone therapy, calcium plus vitamin D supplementation, and dietary modification (low-fat eating pattern). The current study is focused on data collected during the main study period (September 1994-December 1998; baseline through annual visit 9).

Institutional review board approval was obtained by each participating institution. Written informed consent was provided by all participants. At baseline, weight and height were measured, and body mass index (BMI; calculated as weight in kilograms divided by height in meters squared) was calculated.

WHI Medical Record–Confirmed Fracture Cohort

The analytic sample included women for whom self-reported fractures were confirmed by medical records as well as the WHI Bone Density Substudy and the WHI-CT. In the WHI Bone Density Substudy, participants at 3 of the 40 clinical centers (Tucson/Phoenix, Arizona; Pittsburgh, Pennsylvania; and Birmingham, Alabama) were invited to undergo bone mineral density (BMD) measurement. Similarly, WHI conducted medical record confirmation of self-reported fractures in the WHI-CT participants using the same protocol. Together, the WHI Bone Density Substudy and the WHI-CTs provide medical record confirmation of incident fractures for 75 335 WHI participants during the main study.

Of the 75 335 participants, we excluded data from participants who did not provide follow-up information regarding incident fractures (253 [0.3%]) and participants for whom we lacked covariate information (8208 [10.9%]), resulting in analytic sample of 66 874 participants (Figure).

Fracture Ascertainment

Annually (and semiannually in the WHI-CT), participants were asked about incident fracture with the following question: “Has a doctor told you for the first time that you have a new broken, crushed, or fractured bone?” Participants who answered affirmatively were asked to report which bone was fractured. Response choices included hip, upper leg (not hip), pelvis, knee (patella), lower leg or ankle, foot (not toe), tailbone (coccyx), spine or back (vertebra), lower arm or wrist, hand (not finger), elbow, upper arm or shoulder, or other. Fractures of the jaw, nose, face, skull, finger, toe, ribs, and sternum were excluded from this analysis.

Self-reported fractures (the first fracture at a given anatomical location) were confirmed by medical record review. Fracture confirmation was confirmed centrally by WHI study physicians. Hip fracture was confirmed by review of written reports of radiographic studies; if written reports by a radiologist mentioned possible”, probable”, or suspected” hip fractures, hip fractures were confirmed by the University of California, San Francisco Bone Density Center radiologist. Nonhip fractures were confirmed by review of written radiography reports, clinic notes, emergency department notes, and operative reports stating that a new, acute, or healing fracture of a bone was clearly present based on a review of a radiograph. In the case of uncertain or equivocal results on an initial radiography report, confirmation of fracture required clear diagnosis of the fracture or healing fracture on a subsequent report. The following phrases were required for confirmation of a fracture using radiographic reports: fracture, definite fracture, break, hairline fracture, or healing fracture.

For this analysis, each incident fracture was classified into 1 of the following categories of body region: lower extremity (ankle, hip, patella, pelvis, shaft of femur, tibia/fibula, tibial plateau), upper extremity (carpal, elbow, lower end of humerus, radius/ulna, upper end of humerus, shaft of humerus, upper radius/ulna), or spine (lumbar spine and/or thoracic spine). In addition, we defined any clinical fracture as a fracture of the upper extremity, lower extremity, or clinical spine. We excluded the following types of fractures: foot (not toes), tailbone (sacrum and/or coccyx), hand (metacarpal bone(s), and collarbone (clavicular and scapular).

In addition to asking about incident fracture events, a questionnaire item assessed the mechanism of the fracture. Response choices included a car crash or being hit by a car, falling downstairs, a fall from a height (eg, fall while standing on a ladder or chair), other fall or trip (eg, while walking or getting out of bed), sports activity (eg, snow- or water-skiing, horse riding, or climbing), or other. We defined traumatic fractures as fractures that resulted from motor vehicle collisions, falls downstairs, falls from a height, or a sports activity. Fractures resulting from an other fall or trip were considered nontraumatic, and responses of other were defined as unknown mechanism.

Other Covariates

Information regarding age, race/ethnicity, education, income levels, cigarette smoking, supplemental calcium and vitamin D intake, alcohol intake, frequency of falls in the past year, medical history (including diabetes and previous fractures), and medication use was assessed on the baseline self-report questionnaire. Dietary calcium and vitamin D intakes were assessed by a food frequency questionnaire.6 We calculated the RAND 36-item health survey physical functioning construct (range, 0-100, in which a higher score indicates a more favorable health state).7-9 Using the WHI validated physical activity questionnaire,10-12 we quantified physical activity level as total metabolic equivalent task hours per week.

Statistical Analysis

We compared baseline characteristics among women who did and did not experience any initial (incident) fracture of the lower extremity, upper extremity, or spine. We calculated fracture event rates for initial fracture and subsequent fractures overall, and then stratified by age group (<55, 55-59, 60-64, 65-69, 70-74, or ≥75 years old) and racial/ethnic group (White, African American, Hispanic, other/unknown) as reported by the participant.

We used an extension of the Cox proportional hazards model for repeated failures to estimate the associations of a fracture during the study, by type, with a subsequent clinical fracture. Occurrence of a fracture was initially classified at study entry as none for all participants and then reclassified at the time of the first fracture during the study according to whether this fracture was traumatic, nontraumatic, or of unknown trauma status. This time-dependent categorical exposure allowed us to make head-to-head comparisons of the adjusted fracture rates that were associated with history of traumatic vs nontraumatic fractures as well as comparisons of each with no history of fracture, the reference condition. Participants were censored at time of death, loss to follow-up, or the end of the follow-up period. We adjusted for age, race/ethnicity, BMI, treated diabetes, frequency of falls (none, once, twice, 3 times, or more during the previous year), and physical function and activity. The baseline hazard was jointly stratified on use of hormone therapy (trial assigned or self-initiated), WHI Calcium + Vitamin D trial assignment, previous fracture (before study entry), and the WHI study component (WHI-CT or WHI-OS). Analyses were conducted using SAS, version 9.4 (SAS Institute), and statistical significance was set at P < .05.

Results

The mean (SD) follow-up time between the initial fracture and the subsequent clinical fracture or last follow-up date (whichever occurred first) was 8.1 (1.6) years; the median follow-up time (interquartile range) was 8.2 (7.4-9.1) years. Among the 66 874 participants in the analytic sample, 7142 participants (10.7%) experienced incident fracture during the study follow-up period (13.9 per 1000 person-years) (Table 1). Of those 7142 participants, 721 participants (10.1%) experienced a second fracture after the initial incident fracture.

At baseline, the mean (SD) age of participants was 63.1 (7.0) years among women without clinical fracture during study follow-up and 65.3 (7.2) years among participants who experienced incident fracture (Table 2). Compared with participants who did not experience fracture, a higher proportion of participants who experienced fracture were White, had ≥1 fall in the past year, and had never used hormone therapy before enrollment in WHI. Compared with women who experienced traumatic fractures or fractures with unknown trauma status, more women who experienced nontraumatic fractures had a BMI of 30 or greater and had never received estrogen therapy.

Absolute unadjusted rates of subsequent fracture were similar after initial traumatic and initial nontraumatic fractures (Table 3). After initial traumatic and nontraumatic fractures, rates of subsequent fracture were higher among older women.

Overall, the hazard ratio (HR) of subsequent fracture after initial fracture was 1.70 (95% CI, 1.57-1.84) (Table 4). After adjustment for covariates, the association between initial fracture and subsequent fracture remained statistically significant (adjusted HR, 1.49; 95% CI, 1.38-1.61; P < .001). In fully adjusted models, among women whose initial fracture was traumatic, the association between initial fracture and subsequent fracture was statistically significant, although of slightly lower magnitude (adjusted HR, 1.25; 95% CI, 1.06-1.48). For participants who experienced a nontraumatic initial fracture, the risk of subsequent fracture was comparable with that of the overall group (adjusted HR, 1.52; 95% CI, 1.37-1.68). The risk of subsequent fracture among women whose initial mechanism of fracture was unknown was also comparable with that of the overall group (adjusted HR, 1.67; 95% CI, 1.44-1.93). The adjusted HR for subsequent fracture after traumatic fracture vs nontraumatic fracture was 0.82 (95% CI, 0.68-1.00; P = .05).

Discussion

In this large prospective study of postmenopausal women, the risk of subsequent fracture after an initial fracture was significantly elevated among women whose initial fracture was traumatic (HR, 1.25; 95% CI, 1.06-1.48) as well as women whose initial fracture was nontraumatic (HR 1.52; 95% CI, 1.37-1.68). The confidence intervals of these 2 estimates overlap, indicating that nontraumatic and traumatic initial fractures are similarly associated with risk of subsequent fracture.

To our knowledge, previously published studies have not prospectively compared the risk of subsequent fractures after traumatic and nontraumatic fractures among young postmenopausal women (younger than 65 years) in the US. However, our results are generally consistent with a study of older US women. A population-based study of women in Rochester, Minnesota (mean age at initial fracture, 66 years, 1975-1994) focused on initial forearm fracture; it found that there was no statistically significant difference in the risk of subsequent fractures at any site comparing those whose index forearm fracture was “due to severe vs moderate trauma” (except for greater risk of a subsequent vertebral fracture followed by distal forearm fractures that were caused by severe trauma).13 While the Study of Osteoporotic Fractures did not include women younger than 65 years (postmenopausal women who had a mean age of 73 years), it demonstrated that the increased risk of subsequent fracture was similar for initial low-trauma fractures (31% higher risk) and initial high-trauma fractures (34% higher risk) during 9-year the follow-up period.14 Leslie et al15 demonstrated associations between high-trauma fractures and subsequent fracture risk among women in Canada (mean age, approximately 65 years). Ensrud and colleagues16 demonstrated the importance of high-trauma fractures among older men in the MrOS study. Although these previous studies did not focus on younger postmenopausal women in the US, they are important in highlighting the importance of considering high-trauma fractures in association with subsequent fracture risk.

Our study’s results are clinically important because, in contrast to a nontraumatic fracture, a fracture that is considered traumatic often does not trigger further evaluation for osteoporosis or counseling regarding increased subsequent fracture risk, which could lead to underevaluation and undertreatment of at-risk women. High-trauma and low-trauma fractures show similar associations with low BMD.15 This suggests that osteoporosis intervention trials and future observational studies should include traumatic fractures as important outcomes14 and clinical osteoporosis assessment should include assessment for high-trauma as well as low-trauma fractures.

These study results will also help to inform future clinical guidelines regarding osteoporosis. Current guidelines do not focus on traumatic fractures. Regarding osteoporosis diagnosis, some guidelines consider previous fragility fracture to be diagnostic of osteoporosis3,4 but do not specifically mention traumatic fracture. Other clinical guidelines consider hip or vertebral fractures in the absence of major trauma to be diagnostic of osteoporosis but do not specifically mention other fracture types, or traumatic fracture, as being diagnostic of osteoporosis.17 Similarly, regarding treatment, some clinical guidelines recommend that women with hip fracture or vertebral fracture initiate pharmacologic therapy (regardless of bone density level), but women with other types of fracture, including traumatic fracture, would not automatically qualify for pharmacologic treatment unless they had bone density levels in the osteoporotic range.4,17 Other treatment guidelines recommend treatment for any type of previous fragility fracture, but, again, do not include specific guidance regarding traumatic fractures.3

This study highlights the high prevalence with which women do not specify whether their fracture mechanism was traumatic or nontraumatic fractures, as reflected by the many women with fractures who selected other (ie, designated a mechanism other than nontraumatic or traumatic) as the mechanism of fracture. Future studies that ascertain fracture incidence should work toward characterizing the specific reasons for this, because it presents a barrier to understanding how the degree of trauma that causes the initial fracture affects subsequent fracture risk. Such information will be important for clinicians when they perform patient counseling regarding the risk of subsequent fracture after an initial fracture. Our study’s results also underscore the issue of difficulty in assessing whether fractures are traumatic or nontraumatic. Information regarding the optimal way for clinicians to perform such assessment is needed to inform high-quality clinical practice.

Strengths and Limitations

Our study has several potential limitations. We only captured the first initial fracture at each anatomic location. For example, if a participant had a lower arm/wrist fracture, a subsequent lower arm/wrist fracture would not be captured. As a result, our results may be conservative (ie, underestimate the associations of initial traumatic and nontraumatic fracture with subsequent fracture). Because BMD was only measured in 3 of the 40 WHI clinical centers, there were low numbers of events within BMD T score strata, limiting the statistical power to examine differences in associations across T score categories. Finally, although we adjusted for numerous potential confounders, residual confounding is possible, as in all observational studies. Our study also has several strengths, including the prospective study design, the large number of study participants from across the US (including 37 848 women aged between 50 and 64 years) who were not the focus of previous studies, medical record confirmation of fractures, information regarding the events (mechanisms) leading to the fractures, and detailed information regarding potential confounders. Moreover, this study contains many younger postmenopausal women who were not examined in previous prospective studies that compared traumatic and nontraumatic fractures among women in the US.

Conclusions

Future fracture risk is similar among postmenopausal women with initial traumatic fracture and women with initial nontraumatic fracture. Currently, nontraumatic fractures are characterized as osteoporotic. This study’s findings suggest that all fractures, whether traumatic or nontraumatic, should warrant evaluation for osteoporosis (including BMD testing) and counseling regarding subsequent increased fracture risk. These results advance our understanding of the burden of potentially preventable fractures, which is higher in women with initial traumatic fractures as well as those with initial nontraumatic fractures. Fracture in postmenopausal women older than 50 years is associated with a greater risk of subsequent fracture, regardless of mechanism (traumatic or nontraumatic). This information will inform the development of targeted secondary prevention strategies and future clinical guidelines.

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Article Information

Accepted for Publication: April 17, 2021.

Published Online: June 7, 2021. doi:10.1001/jamainternmed.2021.2617

Corresponding Author: Carolyn J. Crandall, MD, MS, FACP, David Geffen School of Medicine at University of California, Los Angeles, Division of General Internal Medicine and Health Services Research, 1100 Glendon Ave, Ste 850, Room 858, Los Angeles, CA 90024 (ccrandall@mednet.ucla.edu).

Author Contributions: Mr Larson had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.

Concept and design: Crandall, Robbins, Johnson, Sattari, Weitlauf, Cauley.

Acquisition, analysis, or interpretation of data: All authors.

Drafting of the manuscript: Crandall, Sattari.

Critical revision of the manuscript for important intellectual content: All authors.

Statistical analysis: Larson.

Obtained funding: Robbins, Wactawski-Wende, Johnson, Sattari.

Administrative, technical, or material support: Wactawski-Wende, Johnson, Cauley.

Supervision: Robbins, Johnson, Sattari.

Conflict of Interest Disclosures: Dr LaCroix reported grants from the National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health (NIH), and the Women’s Health Initiative Study (WHI) during the conduct of the study. Drs Robbins and Johnson reported grants from NIH during the conduct of the study. Dr Wactawski-Wende reported grants from NHLBI and WHI during the conduct of the study. Dr Sattari reported grants from the American Cancer Society, State of Florida Department of Health, and US Centers for Disease Control and Prevention during the conduct of the study. Dr Gure reported grants from NHLBI and the National Institute on Aging during the conduct of the study. No other disclosures were reported.

Funding/Support: The WHI program is funded by the NHLBI, NIH, and US Department of Health and Human Services through grants HHSN268201600018C, HHSN268201600001C, HHSN268201600002C, HHSN268201600003C, and HHSN268201600004C.

Role of the Funder/Sponsor: Representatives of the NHLBI had no role in the design and conduct of this study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.

Additional Information: Contributors Sandra Daugherty, Howard Judd, and Catherine Allen died prior to publication.

Additional Contributions: We thank the WHI investigators, staff, and trial participants for their dedication and commitment, who include Jacques Rossouw, Shari Ludlam, Joan McGowan, Leslie Ford, Nancy Geller, Garnet L. Anderson, Ross Prentice, Charles Kooperberg, Lisa Johnson, Andrea LaCroix, Lesley Tinker, Marian Neuhouser, Susan Heckbert, Alex Reiner, Chongzhi Di, Xiaoling Song, Wayne Rosamond, Shirley Beresford, Chu Chen, Barbara Cochrane, JoAnn E. Manson, Shari Bassuk, Howard Sesso, Lu Wang, Barbara V. Howard, Marcia Stefanick, Mark Hlatky, Marco Perez, Themistocles (Tim) Assimes and Jean Tang, Rebecca Jackson, Randall Harris, Electra Paskett, W. Jerry Mysiw, Michael Blumenfeld, Cynthia A. Thomson, Tamsen Bassford, Cheryl Ritenbaugh, Zhao Chen, Marcia Ko, Jean Wactawski-Wende, Michael LaMonte, Amy Millen, Heather Ochs-Balcom, Christopher Andrews, Marian Limacher, Michael Perri, Andrew Kaunitz, R. Stan Williams, Yvonne Brinson, Jennifer Robinson, Robert Wallace, James Torner, Susan Johnson, Linda Snetselaar, Robert Brunner, Sandra Daugherty, Lewis Kuller, Jane Cauley, N. Carole Milas, Sally Shumaker, Stephen Rapp, Claudine Legault, Mark Espeland, Laura Coker, Michelle Naughton, Sylvia Wassertheil-Smoller, Haleh Sangi-Haghpeykar, Aleksandar Rajkovic, Jennifer Hays, John Foreyt, Charles B. Eaton, Annlouise R. Assaf, Lawrence S. Phillips, Nelson Watts, Sally McNagny, Dallas Hall, Shirley A. A. Beresford, Maureen Henderson, Lisa Martin, Judith Hsia, Valery Miller, Rowan Chlebowski, Erin LeBlanc, Yvonne Michael, Evelyn Whitlock, Cheryl Ritenbaugh, Barbara Valanis, Bette Caan, Robert Hiatt; Carolyn Clifford, Jane Morley Kotchen, Linda Pottern, Linda Van Horn, Philip Greenland, Lynda Powell, William Elliott, Henry Black, Dorothy Lane, Iris Granek, Maurizio Trevisan, Cora E. Lewis, Albert Oberman, Tamsen Bassford, Cheryl Ritenbaugh, Tom Moon, John Robbins, F. Allan Hubbell, Frank Meyskens, Jr., Simin Liu, Lauren Nathan, Howard Judd, Robert D. Langer, Michael Thomas, Margery Gass, James Liu, J. David Curb, Judith Ockene, Norman Lasser, Mary Jo O’Sullivan, Marianna Baum, Karen L. Margolis, Richard Grimm, Gerardo Heiss, Barbara Hulka, David Sheps, Karen Johnson, William Applegate, Robert Brzyski, Robert Schenken, Gloria E. Sarto, Catherine Allen, Mara Vitolins, Denise Bonds, Electra Paskett, Greg Burke, Michael S. Simon, and Susan Hendrix.

Data Sharing Statement: The WIH data are available via the BioLINCC website of the NHLBI at https://biolincc.nhlbi.nih.gov/home/.

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