Aurélie Mailliez1, Axel Guilbaud2, François Puisieux3, Luc Dauchet2, Éric Boulanger4. 1. Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167 - RID-AGE - Facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, F-59000 Lille, France; Geriatrics Department, CHU Lille, Lille, France. 2. Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167 - RID-AGE - Facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, F-59000 Lille, France. 3. Geriatrics Department, CHU Lille, Lille, France. 4. Univ. Lille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167 - RID-AGE - Facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, F-59000 Lille, France; Geriatrics Department, CHU Lille, Lille, France; Special Interest Group on Aging Biology of European Geriatric Medicine Society, France. Electronic address: eric.boulanger@univ-lille.fr.
Abstract
INTRODUCTION: During aging, individuals can be classified as being in one of 3 different states: robust, frail or dependent. Frailty is described as reversible, so early detection offers the potential of returning the subject to a robust status. There are multiple clinical frailty scales but no gold standard and frailty is not systematically assessed in clinicians' daily practice. Reliable biomarkers of frailty are lacking, however, while their identification and systematic use would make this simple scale a useful clinical tool. OBJECTIVE: To conduct a review of the literature concerning the biomarkers associated with frailty and to compare in a meta-analysis the plasmatic values of each biomarker in the frail with the robust group. RESULTS: 503 articles were identified on PubMed, 467 on Scopus and 369 on Web Of Science. 67 articles were included, collecting a total of 32,934 robust subjects and 6864 frail subjects. C-reactive protein (CRP) (Standardized Mean Difference (SMD): 0.49 CI 95% [0.37-0.61]) was significantly higher in the frail group whereas hemoglobin (SMD: -0.67[-0.90; -0.44]), albumin (SMD: -0.62[-0.84; -0.41]), 25-hydroxyvitamin D (25OHD) (SMD: -0.43 [-0.64; -0.21]) and, in men, free testosterone (SMD: -0.77 [-1.05; -0.49]) were significantly lower in the frail group. CONCLUSION: We found 5 biomarkers that were associated with frailty (CRP, hemoglobin, albumin, 25OHD and free testosterone in men) belonging to multiple physiological systems. Further cohort studies are needed to verify their ability to screen for frailty.
INTRODUCTION: During aging, individuals can be classified as being in one of 3 different states: robust, frail or dependent. Frailty is described as reversible, so early detection offers the potential of returning the subject to a robust status. There are multiple clinical frailty scales but no gold standard and frailty is not systematically assessed in clinicians' daily practice. Reliable biomarkers of frailty are lacking, however, while their identification and systematic use would make this simple scale a useful clinical tool. OBJECTIVE: To conduct a review of the literature concerning the biomarkers associated with frailty and to compare in a meta-analysis the plasmatic values of each biomarker in the frail with the robust group. RESULTS: 503 articles were identified on PubMed, 467 on Scopus and 369 on Web Of Science. 67 articles were included, collecting a total of 32,934 robust subjects and 6864 frail subjects. C-reactive protein (CRP) (Standardized Mean Difference (SMD): 0.49 CI 95% [0.37-0.61]) was significantly higher in the frail group whereas hemoglobin (SMD: -0.67[-0.90; -0.44]), albumin (SMD: -0.62[-0.84; -0.41]), 25-hydroxyvitamin D (25OHD) (SMD: -0.43 [-0.64; -0.21]) and, in men, free testosterone (SMD: -0.77 [-1.05; -0.49]) were significantly lower in the frail group. CONCLUSION: We found 5 biomarkers that were associated with frailty (CRP, hemoglobin, albumin, 25OHD and free testosterone in men) belonging to multiple physiological systems. Further cohort studies are needed to verify their ability to screen for frailty.
Authors: Heidi D Klepin; Can-Lan Sun; David D Smith; Rawad Elias; Kelly M Trevino; Ashley Leak Bryant; Daneng Li; Christian Nelson; William P Tew; Supriya G Mohile; Ajeet Gajra; Cynthia Owusu; Cary Gross; Stuart M Lichtman; Vani V Katheria; Hyman B Muss; Andrew E Chapman; Harvey Jay Cohen; Arti Hurria; William Dale Journal: JCO Oncol Pract Date: 2021-04-21
Authors: A M Isidori; A Aversa; A Calogero; A Ferlin; S Francavilla; F Lanfranco; R Pivonello; V Rochira; G Corona; M Maggi Journal: J Endocrinol Invest Date: 2022-08-26 Impact factor: 5.467
Authors: Richard John Woodman; Kimberley Bryant; Michael J Sorich; Alberto Pilotto; Arduino Aleksander Mangoni Journal: J Med Internet Res Date: 2021-06-21 Impact factor: 5.428