Literature DB >> 34655428

Biological Frailty Index in centenarians.

Beatrice Arosio1, Annalisa Geraci2, Evelyn Ferri2, Daniela Mari3, Matteo Cesari4,5.   

Abstract

This study measured the subclinical frailty of centenarians by looking at the accumulation of their biological abnormalities. For this aim, a biological Frailty Index (FI) was computed in centenarians living in Northern Italy. The median value of the biological FI was 0.33 (interquartile range, IQR 0.28-0.41). The biological FI did not significantly differ between women (0.34, IQR 0.31-0.39) and men (0.32, IQR 0.26-0.43). The biological FI seems to have a narrower distribution compared to clinical FI we previously computed in the same cohort. In conclusion, our study suggests that centenarians benefit from exceptional biological reserves that might be underestimated by clinical appearances.
© 2021. The Author(s).

Entities:  

Keywords:  Biological frailty index; Biological reserves; Centenarians; Longevity

Mesh:

Year:  2021        PMID: 34655428      PMCID: PMC8894165          DOI: 10.1007/s40520-021-01993-x

Source DB:  PubMed          Journal:  Aging Clin Exp Res        ISSN: 1594-0667            Impact factor:   3.636


Introduction

The amount of people reaching old age has been growing exponentially in the last decades, and centenarians represent the fastest-growing group (World Population Prospects 2019: Highlights; https://population.un.org/wpp/). Centenarians are persons with an extraordinary adaptive capacity, probably thanks to unusual functional reserves. Centenarians may live with debilitating disease, but still present an advantage in terms of incident disability and death [1, 2]. They constitute a very heterogeneous population as result of lifestyle habits, environmental factors, and histories that have differently affected their biological and clinical profile over the life course [3, 4]. Thus, centenarians may be subjects with not only good but also very poor health status, as demonstrated by the different degrees of frailty we previously reported [5]. Aging occurs at molecular and cellular levels [6]. Interestingly, centenarians seem to express molecular signatures suggestive of a slower process compared to other persons [7, 8]. Recently, it has been explained that Frailty Index (FI) exclusively based on biological parameters may define the biological age of the individual, potentially capturing variations in the health status before the manifestation of clinical deficits [6, 9]. The aim of this study was to measure the subclinical frailty of centenarians by looking at the accumulation of their biological abnormalities. Since available measures of biological age are not optimized to disentangle the heterogeneity that characterizes centenarians [10], in this study, we have computed a biological FI by the means of blood tests in a cohort of well-characterized centenarians living in Northern Italy.

Study design

The participants belonged to a large cohort enrolled during a study conducted between 2007 and 2014 and funded by the Italian Ministry of University and Scientific Research. The cohort was composed by 125 centenarians. Forty-six registry offices in Northern Italy were contacted to collect dates of birth of living people close to 100 years at the enrolment. Sixty-five out of 125 centenarians with all available variables needed for the computation of the biological FI were included. All these persons had a clinical FI already described [5]. Briefly, a trained multidisciplinary team went to each centenarian’s house or nursing home to administer a standard structured questionnaire and collect blood samples [11]. The biological FI was computed considering a total of 42 variables including routine blood tests [6], telomere length [12] and Apolipoprotein E genotype [9]. The 20th and 80th percentiles of each variable were considered as cut-points. The values under the 20th percentile and over the 80th percentile were considered abnormal. These biomarkers and their cut-points are presented in Table 1.
Table 1

Biomarkers and cut-points of the biological FI

Biomarkers20th–80th percentile
MenWomen
Glycemia (mg/dl)80–11178–97
Insulin (µIU/ml)2.8–11.83.6–12.0
Albumin (g/dl)3.4–4.23.2–4.1
Urea (mg/dl)39.8–74.637.2–71.0
Creatinine (mg/dl)0.9–1.30.6–1.3
Uric Acid (mg/dl)4.7–7.44.2–6.3
Cholesterol (mg/dl)152–220152–221
HDL (mg/dl)41.0–62.039.8–59.0
Triglycerides (mg/dl)78–15473.4–149.6
Direct Bilirubin (mg/dl)0.06–0.180.05–0.14
Total Bilirubin (mg/dl)0.3–0.70.2–0.6
AST (U/L)11–1914–20
ALT (U/L)5–105–13
GGT (U/L)11.2–29.411.0–41.4
ALP (U/L)65.0–133.458.4–135.6
Calcium (mg/dl)9.5–10.29.4–10.3
Iron (µg/dl)42.6–98.047.2–101.8
Phosphorus (mg/dL)2.7–3.43.0–4.0
hs-CRP (mg/dl)1.0–12.70.9–11.9
Lymphocytes (× 103/µl)1.14–1.781.06–1.86
Leukocytes (× 103/µl)5.8–7.85.2–7.4
Monocytes (× 103/µl)0.3–0.50.2–0.4
Haemoglobin (g/dl)11.9–13.910.9–13.1
MCV (fl)83–9381–91
MCH (pg)27.4–31.428.1–31.0
MCHC (g/dl)32.6–35.633.1–36.1
Platelets (× 103/µl)175.0–254.0162.4–296.2
CMVNegativity
PAI-1 Act (ng/ml)1.0–5.11.0–3.9
Fibrinogen Antigen (mg/ml)2.8–5.63.1–6.3
VWF Antigen (%)165.6–294.4186.0–318.4
Adamts-13 Antigen (%)30.1–52.037.5–49.6
IGF-1 (ng/ml)41.3–108.442.9–103.5
FT3 (pg/ml)2.0–2.92.2–2.8
FT4 (ng/ml)9.8–14.39.9–14.0
TSH (µIU/ml)1.4–6.71.1–3.0
PTH (ng/l)40.7–130.453.6–220.8
SHBG (nmol/l)65.0–108.870.6–137.2
Testosteron (nmol/l)4.7–15.40.2–0.9
25-OH Vitamin D (μg/l)3.0–9.53.0–8.6
Telomere Length > 0.76 > 0.87
Apolipoprotein E ε4Negativity

HDL High Density Lipoprotein, AST Aspartate Transaminase, ALT Alanine Transferase, GGT γ-Glutamyl Transpeptidase, ALP Alkaline Phosphatase, hs-CRP High Sensitivity C-reactive Protein, MCV Mean Corpuscolar Volume, MCH Mean Corpuscolar Hemoglobin, MCHC Mean Corpuscolar Hemoglobin Concentration, CMV Cytomegalovirus, PAI-1 Act Plasminogen Activator Inhibitor-1 Activity, VWF Von Willebrand Factor, IGF-1 Insuline-like Growth Factor-1, FT3 Free Triiodothyronine, FT4 Free Thyroxine, TSH Thyroid-Stimulating Hormone, PTH Parathyroid Hormone, SHBG Sex Hormone Binding Globulin

Biomarkers and cut-points of the biological FI HDL High Density Lipoprotein, AST Aspartate Transaminase, ALT Alanine Transferase, GGT γ-Glutamyl Transpeptidase, ALP Alkaline Phosphatase, hs-CRP High Sensitivity C-reactive Protein, MCV Mean Corpuscolar Volume, MCH Mean Corpuscolar Hemoglobin, MCHC Mean Corpuscolar Hemoglobin Concentration, CMV Cytomegalovirus, PAI-1 Act Plasminogen Activator Inhibitor-1 Activity, VWF Von Willebrand Factor, IGF-1 Insuline-like Growth Factor-1, FT3 Free Triiodothyronine, FT4 Free Thyroxine, TSH Thyroid-Stimulating Hormone, PTH Parathyroid Hormone, SHBG Sex Hormone Binding Globulin Each biomarker was categorized to assume the value of 0 if its value fell within the range of normality or 1 if abnormal. The biological FI was then calculated as the ratio between the number of biomarkers presenting abnormal values and the number of considered biomarkers (n = 42).

Results

Overall, a total of 65 centenarians (46 women and 19 men) were included in this study. The mean age of the sample was 101.3 (standard deviation, SD 2.0) years. The age was similar between women and men (101.2, SD 2.1 and 101.6, SD 2.0, respectively). As expected, the prevalence of women was higher than men (71% and 29%, respectively). The median value of the biological FI was 0.33 (interquartile range, IQR 0.28–0.41). The biological FI did not significantly differ between women (0.34, IQR 0.31–0.39) and men (0.32, IQR 0.26–0.43). Figure 1 shows the distribution of the biological FI, which ranged between 0.11 and 0.69. Age was weakly correlated with the biological FI (Spearman’s r = 0.26, p = 0.04).
Fig. 1

Distribution of the biological FI in centenarians

Distribution of the biological FI in centenarians

Discussion

To our knowledge, this is the first study measuring a biological FI in a cohort of well-characterized centenarians. Interestingly, it seems to have a more narrow distribution compared to the clinical FI we previously computed [5]. In fact, in the same cohort, we reported a higher clinical FI (median 0.50, IQR 0.40–0.58), and a wider spectrum of values (ranging between 0.13 and 0.73) [5]. In a cohort of persons aged 80 years and older, it has been reported that the clinically fittest persons (FI values between 0 and 0.02) had a mean biological FI of 0.33, indicating that this latter is able to detect the subclinical accumulation of deficits and anticipate the clinical phenotype [9]. Similarly, community-dwelling men aged 40–79 showed a higher biological FI (based on routine blood tests) compared to the clinical one and a significant association with mortality and adverse health outcomes [6]. Nevertheless, our findings suggest that centenarians benefit from exceptional biological reserves that might be underestimated by clinical appearances. Indeed, in our cohort of centenarians, we got the counterintuitive finding of a biological FI lower than the clinical FI we previously reported. This result may suggest that, at very advanced age, the biology of the system might be “better” than what clinically manifested. The hypothesis might be explained by the lower relevance that clinical constructs (e.g., definition of the diagnoses) may have with increasing age, especially if compared to the biological substratum feeding them [13]. After all, it is possible that several clinical deficits could be overestimated in centenarians. For example, some tools (e.g., Mini-Mental State Examination) are not validated for extremely old persons [14] and do not often consider peculiar characteristics (e.g., fatigue) potentially affecting their results. We found a weak association between age and biological FI in centenarians probably because of the narrow range of chronological age and the similar biological FI observed in men and women. This last result is apparently in contrast with the so-called “sex-frailty paradox”, describing women as frailer than men but, at the same time, presenting longer life expectancy [15]. It is possible that, at an extremely advanced age (as in centenarians), the paradox may lose value because of the ceiling effect determined by the exceptional age and the favourable biology that allows it. The main limitation of our study resides in the relatively low number of participants, which might have affected the statistical power of our analyses. We cannot also exclude that our sample does not represent the population of centenarians, and that third factors not considered in the study may differently explain our findings. For all these reasons, this study has to be considered an exploratory analysis that needs to be confirmed in a larger population. In conclusion, our study suggests that centenarians benefit from exceptional biological reserves that might be underestimated by clinical appearances. Further studies are needed to disentangle the relationship between chronological age, biological age, and clinical complexity in older persons, especially at a very advanced age.
  14 in total

1.  The Frailty Index in centenarians and their offspring.

Authors:  Beatrice Arosio; E Ferri; M Casati; D Mari; G Vitale; M Cesari
Journal:  Aging Clin Exp Res       Date:  2019-07-29       Impact factor: 3.636

2.  Frailty and Multimorbidity: Different Ways of Thinking About Geriatrics.

Authors:  Matteo Cesari; Mario Ulises Pérez-Zepeda; Emanuele Marzetti
Journal:  J Am Med Dir Assoc       Date:  2017-03-06       Impact factor: 4.669

3.  Leukocyte telomere length and prevalence of age-related diseases in semisupercentenarians, centenarians and centenarians' offspring.

Authors:  Enzo Tedone; Beatrice Arosio; Cristina Gussago; Martina Casati; Evelyn Ferri; Giulia Ogliari; Francesco Ronchetti; Alessandra Porta; Francesca Massariello; Paola Nicolini; Daniela Mari
Journal:  Exp Gerontol       Date:  2014-06-27       Impact factor: 4.032

4.  The Pathophysiology of Frailty: Why Sex Is So Important.

Authors:  Emily H Gordon; Ruth E Hubbard
Journal:  J Am Med Dir Assoc       Date:  2017-11-10       Impact factor: 4.669

Review 5.  Cognitive status in the oldest old and centenarians: a condition crucial for quality of life methodologically difficult to assess.

Authors:  Beatrice Arosio; Rita Ostan; Daniela Mari; Sarah Damanti; Francesco Ronchetti; Sara Arcudi; Maria Scurti; Claudio Franceschi; Daniela Monti
Journal:  Mech Ageing Dev       Date:  2017-03-09       Impact factor: 5.432

Review 6.  Why do centenarians escape or postpone cancer? The role of IGF-1, inflammation and p53.

Authors:  Stefano Salvioli; Miriam Capri; Laura Bucci; Cristina Lanni; Marco Racchi; Daniela Uberti; Maurizio Memo; Daniela Mari; Stefano Govoni; Claudio Franceschi
Journal:  Cancer Immunol Immunother       Date:  2009-01-13       Impact factor: 6.968

7.  Heterogeneity of Thyroid Function and Impact of Peripheral Thyroxine Deiodination in Centenarians and Semi-Supercentenarians: Association With Functional Status and Mortality.

Authors:  Rita Ostan; Daniela Monti; Daniela Mari; Beatrice Arosio; Davide Gentilini; Evelyn Ferri; Giuseppe Passarino; Francesco De Rango; Patrizia D'Aquila; Stefano Mariotti; Renato Pasquali; Flaminia Fanelli; Laura Bucci; Claudio Franceschi; Giovanni Vitale
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2019-05-16       Impact factor: 6.053

8.  No association between frailty index and epigenetic clocks in Italian semi-supercentenarians.

Authors:  Maria Giulia Bacalini; Davide Gentilini; Daniela Monti; Paolo Garagnani; Daniela Mari; Matteo Cesari; Giulia Ogliari; Giuseppe Passarino; Claudio Franceschi; Chiara Pirazzini; Beatrice Arosio
Journal:  Mech Ageing Dev       Date:  2021-06-04       Impact factor: 5.432

9.  Protein signatures of centenarians and their offspring suggest centenarians age slower than other humans.

Authors:  Paola Sebastiani; Anthony Federico; Melody Morris; Anastasia Gurinovich; Toshiko Tanaka; Kevin B Chandler; Stacy L Andersen; Gerald Denis; Catherine E Costello; Luigi Ferrucci; Lori Jennings; David J Glass; Stefano Monti; Thomas T Perls
Journal:  Aging Cell       Date:  2021-01-29       Impact factor: 11.005

10.  A frailty index from common clinical and laboratory tests predicts increased risk of death across the life course.

Authors:  Joanna M Blodgett; Olga Theou; Susan E Howlett; Kenneth Rockwood
Journal:  Geroscience       Date:  2017-09-02       Impact factor: 7.713

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Review 1.  The Frailty Puzzle: Searching for Immortality or for Knowledge Survival?

Authors:  Stefano Govoni; Francesca Fagiani; Cristina Lanni; Nicola Allegri
Journal:  Front Cell Neurosci       Date:  2022-02-17       Impact factor: 5.505

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