Optimal Cutoffs for the Diagnosis of Sarcopenia in Older Chinese Adults

Sheng Ge; Qin Du; Xiaohui Feng; Yan Liu; Hui Wang; Shan Hai; Xiaodong Shi; Wenguang Sun; Aiqin Ma; Tingting Lv; Haili Liu; Venkata Saibaba Pinupa; Menaka Yalawar; Geraldine E Baggs; Birong Dong; Wei Chen

doi:10.3389/fnut.2022.853323

Optimal Cutoffs for the Diagnosis of Sarcopenia in Older Chinese Adults

Front Nutr. 2022 Jul 5:9:853323. doi: 10.3389/fnut.2022.853323. eCollection 2022.

Authors

Sheng Ge¹, Qin Du², Xiaohui Feng¹, Yan Liu³, Hui Wang⁴, Shan Hai⁴, Xiaodong Shi³, Wenguang Sun¹, Aiqin Ma¹, Tingting Lv¹, Haili Liu¹, Venkata Saibaba Pinupa⁵, Menaka Yalawar⁶, Geraldine E Baggs⁷, Birong Dong⁴, Wei Chen³

Affiliations

¹ Clinical Nutrition Department, Sixth People's Hospital Affiliated Shanghai Jiao Tong University, Shanghai, China.
² Department of Clinical Nutrition Science, Abbott Nutrition Research and Development, Shanghai, China.
³ Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
⁴ The Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, China.
⁵ Cognizant Technology Solutions, Hyderabad, India.
⁶ Cognizant Technology Solutions, Bangalore, India.
⁷ Department of Statistical Sciences, Abbott Nutrition Research and Development, Columbus, OH, United States.

Abstract

Background: The optimal criteria for sarcopenia in the older Chinese population have not been defined. Consequently, this study aims to determine the optimal cutoffs of grip strength, appendicular skeletal muscle index (ASMI) using bioelectrical impedance analysis (BIA), and gait speed, comprising the best definition of sarcopenia for older Chinese populations.

Methods: A total of 2,821 (1,398 men and 1,423 women) community-dwelling older people (≥60 years) and 409 (205 men and 204 women) young healthy adults (25-34 years) were recruited from three big cities in China. Besides gait speed and grip strength, we examined ASMI by BIA and dual-energy X-ray absorptiometry (DXA), comprising the three components of sarcopenia. DXA classification for low ASMI, 20th percentile among older adults in the study sample, was found to be best compared with the other existing classification, 1 SD and 2 SD below the mean for the young population, and was used as the gold standard to determine the optimal cutoffs of BIA using receiver operating characteristic curves (ROC). The cutoffs of handgrip strength and gait speed were determined following the same rule.

Results: Using gender-specific 20th percentiles of DXA (6.53 kg/m² for men and 5.40 kg/m² for women), the cutoffs 7.05 kg/m² for men and 5.85 kg/m² for women were determined as optimal cutoffs of BIA by achieving the largest sensitivity (0.81, 95% CI: 0.63-0.93 for men and 0.90, 95% CI: 0.73-0.98 for women) and specificity greater than 0.80 (0.80, 95% CI: 0.72-0.87 for men and 0.81, 95% CI: 0.72-0.87 for women) in the ROC analysis. The 28.5 kg and 1.05 m/s for men and 18.6 kg and 1.01 m/s for women were determined as the cutoffs for handgrip strength and gait speed, respectively. Based on the derived cutoffs, 14.2% of men and 15.7% of women in the older Chinese study population were classified as sarcopenia.

Conclusion: Notably, 7.05 kg/m², 28.5 kg, and 1.05 m/s for men and 5.85 kg/m², 18.6 kg, and 1.01 m/s for women were selected as the optimal cutoffs for low ASMI by BIA, handgrip strength, and gait speed, respectively. These optimal cutoffs will enhance practicability for screening sarcopenia in primary care and clinical settings.

Keywords: Chinese; bioelectrical impedance analysis; cutoff thresholds; dual-energy X-ray absorptiometry; older people; sarcopenia.