Literature DB >> 15825701

Validation of the OSTA index for discriminating between high and low probability of femoral neck and lumbar spine osteoporosis among Thai postmenopausal women.

Sarayut Geater1, Rattana Leelawattana, Alan Geater.   

Abstract

RATIONALE: Bone mineral density (BMD) measurement of postmenopausal women is needed to diagnose osteoporosis. This is an expensive procedure and available in only a few hospitals in Thailand. The Osteoporosis Self-Assessment Tool for Asians (OSTA) index, based on age and weight, has been developed for screening of postmenopausal Asian women to identify women for whom there is little advantage in undergoing bone densitometry. This index was developed for prediction of neck of the femur osteoporosis and did not include spinal osteoporosis, which is also common. Furthermore, the index was based on data from a sample of mainly ethnic Chinese. There is evidence that the BMD of Thai women is significantly higher for the same age and weight than that of women of several other Asian ethnics, thus there is a need to validate the appropriateness of the OSTA index for both femur and spinal osteoporosis among the Thai population.
OBJECTIVE: To determine the properties of the OSTA index as a screening tool among postmenopausal women in southern Thailand. PATIENTS: Three-hundred-and-eighty-eight postmenopausal women, with no history of disease or use of drugs associated with secondary osteoporosis and no history of treatment for osteoporosis, attending the postmenopausal clinic or internal medicine out-patient department of Songklanagarind Hospital, a teaching hospital in southern Thailand, between November 2000 and April 2002.
METHOD: BMD t-scores of the neck of the femur and lumbar spine were collected retrospectively and a diagnosis of osteoporosis made according to WHO criteria. Sensitivity and specificity and their 95% confidence limits were calculatedfor the dichotomized OSTA index.
RESULTS: Thirty-one percent of the women were detected as having osteoporosis, comprising neck of the femur (12 percent) and lumbar spine (31 percent). Twenty nine women (7.5 percent) had evidence of spinal fracture. The OSTA index at the standard cut-point of < or = -1 had a sensitivity and specificity of 0.93 (95% CI: 0.82 - 0.99) and 0.61 (95% CI: 0.56-0.66) respectively for neck of the femur but only 0.80 (95% CI: 0.72-0.87) and 0.70 (95% CI: 0.64-0.75) respectively for lumbar spine. Raising the cut-point to < or = 0 reduced the high false negative rate (0.20) in prediction of lumbar spine osteoporosis to 0.07 (95% CI: 0.03-0.13) and identified 27 percent (95% CI: 23-32 percent) of all women at low risk of osteoporosis at either site. These women may not need to undergo BMD measurement.
CONCLUSION: The standard cut-point of the OSTA index could identify most Thai postmenopausal women with osteoporosis of the neck of the femur. However, to improve the sensitivity of detection of osteoporosis of the lumbar spine, the cut-point of < or = 0 may be more appropriate.

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Mesh:

Year:  2004        PMID: 15825701

Source DB:  PubMed          Journal:  J Med Assoc Thai        ISSN: 0125-2208


  10 in total

Review 1.  Performance of the Osteoporosis Self-Assessment Tool in ruling out low bone mineral density in postmenopausal women: a systematic review.

Authors:  B Rud; J Hilden; L Hyldstrup; A Hróbjartsson
Journal:  Osteoporos Int       Date:  2007-03-15       Impact factor: 4.507

Review 2.  Systematic review and meta-analysis of the performance of clinical risk assessment instruments for screening for osteoporosis or low bone density.

Authors:  S Nayak; D L Edwards; A A Saleh; S L Greenspan
Journal:  Osteoporos Int       Date:  2015-02-03       Impact factor: 4.507

3.  [Evaluation of screening accuracy on osteoporosis self-assessment tool for Asians and its cut-off value in healthy physical examination population].

Authors:  P Wang; H Wu; Y Che; D W Fan; J Liu; L Y Tao
Journal:  Beijing Da Xue Xue Bao Yi Xue Ban       Date:  2019-12-18

4.  Performance of Osteoporosis Self-assessment Tool for Asian (OSTA) for Primary Osteoporosis in Post-menopausal Malay Women.

Authors:  Daj Muslim; Ef Mohd; Ay Sallehudin; Tms Tengku Muzaffar; Am Ezane
Journal:  Malays Orthop J       Date:  2012-03

5.  Osteoporosis Self-Assessment Tool for Asians Can Predict Neurologic Prognosis in Patients with Isolated Moderate Traumatic Brain Injury.

Authors:  Chia-Hung Chao; Yu-Feng Su; Hon-Man Chan; Shiuh-Lin Huang; Chih-Lung Lin; Aij-Lie Kwan; Yun-Ting Lou; Chao-Wen Chen
Journal:  PLoS One       Date:  2015-07-17       Impact factor: 3.240

6.  Development and Validation of an Osteoporosis Self-Assessment Tool for Taiwan (OSTAi) Postmenopausal Women-A Sub-Study of the Taiwan OsteoPorosis Survey (TOPS).

Authors:  Fu-Mei Su; Dung-Huan Liu; Jia-Feng Chen; Shan-Fu Yu; Wen-Chan Chiu; Chung-Yuan Hsu; Chi-Hua Ko; Ching-Chou Tsai; Tien-Tsai Cheng
Journal:  PLoS One       Date:  2015-06-18       Impact factor: 3.240

7.  Epidemiology of Bone Fracture in Female Trauma Patients Based on Risks of Osteoporosis Assessed using the Osteoporosis Self-Assessment Tool for Asians Score.

Authors:  Cheng-Shyuan Rau; Shao-Chun Wu; Pao-Jen Kuo; Yi-Chun Chen; Peng-Chen Chien; Hsiao-Yun Hsieh; Ching-Hua Hsieh
Journal:  Int J Environ Res Public Health       Date:  2017-11-13       Impact factor: 3.390

Review 8.  Performance of Osteoporosis Self-Assessment Tool (OST) in Predicting Osteoporosis-A Review.

Authors:  Shaanthana Subramaniam; Soelaiman Ima-Nirwana; Kok-Yong Chin
Journal:  Int J Environ Res Public Health       Date:  2018-07-09       Impact factor: 3.390

9.  The Assessment of the Osteoporosis Self-Assessment Tool for Asians and Calcaneal Quantitative Ultrasound in Identifying Osteoporotic Fractures and Falls Among Chinese People.

Authors:  Chao Gao; Huijiang Song; Bihua Chen; Zhenlin Zhang; Hua Yue
Journal:  Front Endocrinol (Lausanne)       Date:  2021-05-10       Impact factor: 5.555

10.  Agreement between calcaneal quantitative ultrasound and osteoporosis self-assessment tool for Asians in identifying individuals at risk of osteoporosis.

Authors:  Kok-Yong Chin; Nie Yen Low; Alia Annessa Ain Kamaruddin; Wan Ilma Dewiputri; Ima-Nirwana Soelaiman
Journal:  Ther Clin Risk Manag       Date:  2017-10-06       Impact factor: 2.423

  10 in total

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