Chatlert Pongchaiyakul1, Ekgaluck Wanothayaroj. 1. Division of Endocrinology and Metabolism, Department of Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen 40002, Thailand. pchatl@kku.ac.th
Abstract
OBJECTIVE: The present study evaluated the diagnostic performance of Khon Kaen Osteoporosis Study (KKOS) score in identifying osteoporosis in men. MATERIAL AND METHOD: This was a cross-sectional investigation in 230 men aged > or = 50 years. Bone mineral density (BMD) was measured at the femoral neck and lumbar spine by DXA (DPX-IQ densitometer LUNAR Corporation, Madison, Wisconsin, USA). The KKOS score was calculated for each man using his age and weight. Men with KKOS scores < or = -1 and > -1 were classified as "high risk" and "low risk", respectively. RESULTS: The prevalence of osteoporosis in the entire sample was 17% and 7.4% (n = 39, 17) by femoral neck BMD and lumbar spine BMD, respectively. Using the KKOS score, 80 (34.8%) men were classified as "high risk" (KKOS score < or = -1). The proportion of high risk individuals increased with advancing age, ranging from 16.2% in the 50-65 age group to 64.8% in the > 65 age group. Using BMD from DXA as a gold standard, the overall sensitivity and specificity of KKOS in identifying osteoporosis was 72.5% and 73.2%, respectively. However; the sensitivity was higher at the lumbar spine (94.1% vs. 71.8%) than the femoral neck, while the specificity was comparable. The PPV of KKOS was 36%; and was lower at the lumbar spine (20%) compared to the femoral neck (35%). In the present study, men were classified "high risk" from KKOS, the risk (odds ratio; OR) of osteoporosis at the femoral neck and/or lumbar spine was 7.19 (95% CI: 3.34-15.44). However, the risk of osteoporosis was higher in the younger age (50-65 yr) group (OR: 10.29, 95% CI: 3.31-31.94) compared with the older age (> 65 yr) group (OR: 3.65, 95% CI: 1.12-11.91). CONCLUSION: KKOS scoring system based on age and body weight, is a simple tool for clinicians to make a decision to further DXA testing for identifying osteoporosis in Thai men. This tool had a high sensitivity and specificity, but modest PPV.
OBJECTIVE: The present study evaluated the diagnostic performance of Khon Kaen Osteoporosis Study (KKOS) score in identifying osteoporosis in men. MATERIAL AND METHOD: This was a cross-sectional investigation in 230 men aged > or = 50 years. Bone mineral density (BMD) was measured at the femoral neck and lumbar spine by DXA (DPX-IQ densitometer LUNAR Corporation, Madison, Wisconsin, USA). The KKOS score was calculated for each man using his age and weight. Men with KKOS scores < or = -1 and > -1 were classified as "high risk" and "low risk", respectively. RESULTS: The prevalence of osteoporosis in the entire sample was 17% and 7.4% (n = 39, 17) by femoral neck BMD and lumbar spine BMD, respectively. Using the KKOS score, 80 (34.8%) men were classified as "high risk" (KKOS score < or = -1). The proportion of high risk individuals increased with advancing age, ranging from 16.2% in the 50-65 age group to 64.8% in the > 65 age group. Using BMD from DXA as a gold standard, the overall sensitivity and specificity of KKOS in identifying osteoporosis was 72.5% and 73.2%, respectively. However; the sensitivity was higher at the lumbar spine (94.1% vs. 71.8%) than the femoral neck, while the specificity was comparable. The PPV of KKOS was 36%; and was lower at the lumbar spine (20%) compared to the femoral neck (35%). In the present study, men were classified "high risk" from KKOS, the risk (odds ratio; OR) of osteoporosis at the femoral neck and/or lumbar spine was 7.19 (95% CI: 3.34-15.44). However, the risk of osteoporosis was higher in the younger age (50-65 yr) group (OR: 10.29, 95% CI: 3.31-31.94) compared with the older age (> 65 yr) group (OR: 3.65, 95% CI: 1.12-11.91). CONCLUSION: KKOS scoring system based on age and body weight, is a simple tool for clinicians to make a decision to further DXA testing for identifying osteoporosis in Thai men. This tool had a high sensitivity and specificity, but modest PPV.
Authors: Marlena C Kruger; Joanne M Todd; Linda M Schollum; Barbara Kuhn-Sherlock; Drew W McLean; Kim Wylie Journal: BMC Musculoskelet Disord Date: 2013-03-05 Impact factor: 2.362
Authors: Umberto Tarantino; Ida Cariati; Virginia Tancredi; Donato Casamassima; Eleonora Piccirilli; Riccardo Iundusi; Elena Gasbarra Journal: Int J Environ Res Public Health Date: 2020-10-22 Impact factor: 3.390