Literature DB >> 35779100

Real-world evaluation of osteoporotic fractures using the Japan Medical Data Vision database.

Saeko Fujiwara1, Amy Buchanan-Hughes2, Alvin Ng3, Jennifer Page4, Kenji Adachi5, Hong Li6.   

Abstract

In Japanese patients who experienced an osteoporotic fracture, 10.8% and 18.6% had a subsequent fracture within 1 and 2 years of follow-up, respectively. Although the burden of hip and vertebral fractures has been reported widely, we found that patients with non-hip non-vertebral (NHNV) fractures had a 26% higher risk of subsequent fracture than patients with hip fractures; therefore, NHNV fractures should also be considered an important risk factor for subsequent fracture.
INTRODUCTION: To investigate imminent risk and odds of subsequent osteoporotic fractures and associated risk factors in patients who experienced an initial osteoporotic fracture.
METHODS: Patients aged ≥ 50 years with ≥ 1 osteoporotic fracture were analyzed from Japan's Medical Data Vision (MDV) database of claims from acute-care hospitals (January 2012-January 2017). Multivariable models were constructed to explore the impact of key comorbidities and medications on the subsequent fracture risk: Cox proportional hazards model for time to subsequent fracture and logistic regression models for odds of subsequent fracture within 1 and 2 years from index fracture.
RESULTS: In total, 32,926 patients were eligible with a median follow-up duration of 12.3 months. The percentage of patients experiencing subsequent fractures was 14.1% across the study duration, and 10.8% and 18.6% in patients with 1 and 2 years of follow-up, respectively. In the Cox proportional hazards model, patients with vertebral or NHNV index fractures had a higher subsequent fracture risk than patients with a hip index fracture (adjusted hazard ratio [aHR] 1.11 and 1.26, respectively); subsequent fracture risk was lower in males than females (aHR 0.89). Patients with baseline claims for tranquilizers and glucocorticoids had a higher subsequent fracture risk than those without (aHR 1.14 and 1.08, respectively). Additionally, baseline claims for anti-Parkinson's medications, alcoholism, and stage 4/5 chronic kidney disease were significantly associated with higher odds of subsequent fracture in the logistic regression models.
CONCLUSION: Several clinical and demographic factors were associated with a higher risk and odds of subsequent fracture. This may help to identify patients who should be prioritized for osteoporosis treatment.
© 2022. International Osteoporosis Foundation and Bone Health and Osteoporosis Foundation.

Entities:  

Keywords:  Claims database; Japan; Osteoporosis; Real-world; Risk factors; Subsequent fracture

Mesh:

Year:  2022        PMID: 35779100     DOI: 10.1007/s00198-022-06472-1

Source DB:  PubMed          Journal:  Osteoporos Int        ISSN: 0937-941X            Impact factor:   5.071


  30 in total

1.  Patients with prior fractures have an increased risk of future fractures: a summary of the literature and statistical synthesis.

Authors:  C M Klotzbuecher; P D Ross; P B Landsman; T A Abbott; M Berger
Journal:  J Bone Miner Res       Date:  2000-04       Impact factor: 6.741

2.  Imminent risk of fracture after fracture.

Authors:  H Johansson; K Siggeirsdóttir; N C Harvey; A Odén; V Gudnason; E McCloskey; G Sigurdsson; J A Kanis
Journal:  Osteoporos Int       Date:  2016-12-27       Impact factor: 4.507

3.  Clinical subsequent fractures cluster in time after first fractures.

Authors:  T A C M van Geel; S van Helden; P P Geusens; B Winkens; G-J Dinant
Journal:  Ann Rheum Dis       Date:  2008-08-03       Impact factor: 19.103

4.  A meta-analysis of previous fracture and subsequent fracture risk.

Authors:  J A Kanis; O Johnell; C De Laet; H Johansson; A Oden; P Delmas; J Eisman; S Fujiwara; P Garnero; H Kroger; E V McCloskey; D Mellstrom; L J Melton; H Pols; J Reeve; A Silman; A Tenenhouse
Journal:  Bone       Date:  2004-08       Impact factor: 4.398

5.  Making the first fracture the last fracture: ASBMR task force report on secondary fracture prevention.

Authors:  John A Eisman; Earl R Bogoch; Rick Dell; J Timothy Harrington; Ross E McKinney; Alastair McLellan; Paul J Mitchell; Stuart Silverman; Rick Singleton; Ethel Siris
Journal:  J Bone Miner Res       Date:  2012-07-26       Impact factor: 6.741

6.  Risk of pneumococcal diseases in adults with underlying medical conditions: a retrospective, cohort study using two Japanese healthcare databases.

Authors:  Kentaro Imai; Tanaz Petigara; Melvin A Kohn; Kei Nakashima; Masahiro Aoshima; Akihito Shito; Shinichi Kanazu
Journal:  BMJ Open       Date:  2018-03-02       Impact factor: 2.692

7.  Japanese 2011 guidelines for prevention and treatment of osteoporosis--executive summary.

Authors:  Hajime Orimo; Toshitaka Nakamura; Takayuki Hosoi; Masayuki Iki; Kazuhiro Uenishi; Naoto Endo; Hiroaki Ohta; Masataka Shiraki; Toshitsugu Sugimoto; Takao Suzuki; Satoshi Soen; Yoshiki Nishizawa; Hiroshi Hagino; Masao Fukunaga; Saeko Fujiwara
Journal:  Arch Osteoporos       Date:  2012       Impact factor: 2.617

8.  Capture the Fracture: a Best Practice Framework and global campaign to break the fragility fracture cycle.

Authors:  K Akesson; D Marsh; P J Mitchell; A R McLellan; J Stenmark; D D Pierroz; C Kyer; C Cooper
Journal:  Osteoporos Int       Date:  2013-04-16       Impact factor: 4.507

9.  Treatment costs and cost drivers among osteoporotic fracture patients in Japan: a retrospective database analysis.

Authors:  Yurie Taguchi; Yuta Inoue; Taichi Kido; Nobuhiro Arai
Journal:  Arch Osteoporos       Date:  2018-04-25       Impact factor: 2.617

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.