Carlos Antonio Amado1, Maria Teresa García-Unzueta2,3, Bernardo Alio Lavin2, Armando Raúl Guerra2, Juan Agüero4, Laura Ramos5, Pedro Muñoz6. 1. Department of Pulmonology, Hospital Universitario Marqués de Valdecilla, Santander, Spain, amadodiago.carlos@gmail.com. 2. Department of Clinical Biochemistry, Hospital Universitario Marqués de Valdecilla, Santander, Spain. 3. Department of Biochemistry, University of Cantabria, Santander, Spain. 4. Department of Pulmonology, Hospital Universitario Marqués de Valdecilla, Santander, Spain. 5. Department of Endocrinology, Hospital Universitario Marqués de Valdecilla, Santander, Spain. 6. Servicio Cántabro de Salud, Santander, Spain.
Abstract
BACKGROUND: In chronic obstructive pulmonary disease (COPD), low muscle mass has been associated with several clinical outcomes such as low exercise capacity, hospital admission, and mortality. The Sarcopenia Index (SI) is a novel way to estimate muscle mass based on the ratio of serum creatinine (produced exclusively by muscle)/cystatin C (produced by all nucleated body cells). OBJECTIVES: This study aims to assess the SI in stable COPD outpatients, as compared with a healthy control group, to quantify its relationship with several important clinical features in COPD, and to study its potential usefulness to predict COPD exacerbations and hospital admissions. METHODS: The SI was calculated in 18 healthy control subjects and 65 stable COPD outpatients were included in the study. Patients were prospectively followed for 1 year after being enrolled in the study. RESULTS: COPD patients had a lower SI than controls, that is lower muscle mass. Furthermore, patients with a modified Medical Research Council dyspnea score ≥2, patients with a COPD Assessment Test score ≥10, and patients with a high risk of exacerbation had lower levels of SI compared with patients without these characteristics. SI correlated with FEV1 (r = 0.491, p < 0.001), the 6-min walking test (r = 0.560, p = 0.001), and the Fat-Free Mass Index (r = 0.431, p = 0.017). Univariate and multivariate Cox proportional risk analysis showed that a low SI is an independent predictor of hospital admission in COPD outpatients followed for 1 year (HR 5.16, p = 0.025). CONCLUSIONS: The ratio serum creatinine/serum cystatin C correlates with several COPD characteristics, and it can be used to predict COPD hospitalization.
BACKGROUND: In chronic obstructive pulmonary disease (COPD), low muscle mass has been associated with several clinical outcomes such as low exercise capacity, hospital admission, and mortality. The Sarcopenia Index (SI) is a novel way to estimate muscle mass based on the ratio of serum creatinine (produced exclusively by muscle)/cystatin C (produced by all nucleated body cells). OBJECTIVES: This study aims to assess the SI in stable COPD outpatients, as compared with a healthy control group, to quantify its relationship with several important clinical features in COPD, and to study its potential usefulness to predict COPD exacerbations and hospital admissions. METHODS: The SI was calculated in 18 healthy control subjects and 65 stable COPD outpatients were included in the study. Patients were prospectively followed for 1 year after being enrolled in the study. RESULTS:COPDpatients had a lower SI than controls, that is lower muscle mass. Furthermore, patients with a modified Medical Research Council dyspnea score ≥2, patients with a COPD Assessment Test score ≥10, and patients with a high risk of exacerbation had lower levels of SI compared with patients without these characteristics. SI correlated with FEV1 (r = 0.491, p < 0.001), the 6-min walking test (r = 0.560, p = 0.001), and the Fat-Free Mass Index (r = 0.431, p = 0.017). Univariate and multivariate Cox proportional risk analysis showed that a low SI is an independent predictor of hospital admission in COPD outpatients followed for 1 year (HR 5.16, p = 0.025). CONCLUSIONS: The ratio serum creatinine/serum cystatin C correlates with several COPD characteristics, and it can be used to predict COPD hospitalization.
Authors: Qing Yang; Mei Zhang; Peng Sun; Yanying Li; Huichao Xu; Kejun Wang; Hongshan Shen; Bo Ban; Fupeng Liu Journal: BMJ Open Diabetes Res Care Date: 2021-11
Authors: Kevin Mou; Stanley M H Chan; Kurt Brassington; Aleksandar Dobric; Simone N De Luca; Huei Jiunn Seow; Stavros Selemidis; Steven Bozinovski; Ross Vlahos Journal: Front Pharmacol Date: 2022-03-18 Impact factor: 5.810