AgingNCT04630132
Renal Ageing-sarcopenia Network
An observational study of Aging and Frailty, run by IRCCS San Raffaele at 1 site in Italy.
Trial summary
Frailty is a syndrome in which the accumulation of small, individually insignificant deficits leads to heightened vulnerability to adverse events and predisposes to potential catastrophic decompensation. Read more about this study
- Who is it for?
- Ages 65 years and olderHealthy volunteers can take part
- Conditions the study is for
- Aging, Frailty, Hypertension
- How many people
- 1,500 participants
- Where
- 1 siteItaly
- Study dates
- 25 Mar 2017to 31 Mar 2021
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 65 years and older
- All sexes
- Healthy volunteers accepted
- Older adult
Study population: Community sample of the elderly population
Who may be able to join
- Age ≥ 65 years
- Male and female patients
- Patients able to walk > 500 m without assistance
- MMSE < 18
- No severe health problems (Uncontrolled hypertension, recent upper or lower extremity fractures, myocardial infarction within the past 1 year).
Who cannot join
- Severe cardiological or pulmonary disease (NYHA IV, Gold IV)
- Intracranial interventions
- Dying patients (palliative situation)
- Not enough language skills
- Non-consenting patients
- Participation in another prospective intervention study for study inclusion or throughout the study period.
Trial locations and contacts
1 site in 1 country.
Italy1 site, 1 recruiting
- Recruiting
IRCCS Ospedale San Raffaele
Milan, 20132
Chiara Lanzani, MD, +390226433891, lanzani.chiara@hsr.it
About this study
Official title: Renal Ageing-sarcopenia Network: a Combined Genetic, Immunological and Psychological Approach to Dissect Frailty
Frailty is a syndrome in which the accumulation of small, individually insignificant deficits leads to heightened vulnerability to adverse events and predisposes to potential catastrophic decompensation.
Objective of this study is to clarify the underlying genetic and immunological mechanisms responsible of frailty condition focused on: i. nephrosclerosis ageing kidney phenotype related to salt effects on immunosystem, ii. immunological aspect of sarcopenia, iii. psychological disorder related to immunosystem activation, iv. detection of new biomarkers of frailty.
Read the detailed description
The cross-sectional, observational cohort study include 1500 subjects (age >65 years) subdivided in 750 cases and 750 controls according to frailty.
Subjects who met the following criteria are included: 1) older than 65; 2) able to walk 500 m without assistance; 3) a Mini-Mental State Examination (MMSE) score <18; and 4) no severe health problems (eg, uncontrolled hypertension, recent upper or lower extremity fractures, myocardial infarction within the past 1 year).
According to definition for the 'phenotype' of frailty (cases) is as follows: presence of three or more of the following features:
- Decreased grip strength
- Self-reported exhaustion
- Unintentional weight loss of more than 4.5 kg over the past year
- Slow walking speed
- Low physical activity
The investigators select as control subjects with presence of less than 1 criteria . All the control subjects are evaluated by the same protocol than the cases. Subjects will be collected in collaboration with senior housing (RSA) of Milano city, country clubs, social club for elderly, and elderly university. The study will be approved by the Ethics Committee of ASL of Milano city and at individual centers by local ethical committees. All the study participants signed informed consent. At the baseline evaluation, a large amount of data is collected. First, the participants completed a battery of self-reported questionnaires concerning the demographic characteristics, psychosocial adjustment, quality of life, and health condition, in the presence of a trained psychologist in order to clarify any doubts. Second, an expert in physical education and adapted physical activity for older adults administered physical tests. Finally, people with expertise in the eld of ergonomics take anthropometric measurements. Data collection is always carried out in the same order and individually for each participant.
In all the subjects following clinical and laboratoristic data are collected:
- Clinical evaluation:
- Collection of anamnestic data.
- Blood pressure measurement. Blood pressure is measured by a trained nurse using an authomatic device (OMRON) and an appropriately sized cuff. Readings are obtained after 5 min of seated rest. The mean of 3 blood pressure measurements obtained at 1-min intervals during the medical evaluation is used to define SBP and DBP.
- Evaluation of kidney function :
- CKD is defined as a glomerular filtration rate (GFR) lower than 60 mL/min/1.73 m2 or markers of kidney damage, such as albuminuria,for greater than 3 months. A creatinine-based formula is used to estimate GFR, applying Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equations.
- Urine analysis and albumin /creatinine and sodium /creatinine ratio urinary excretion.
- Physical frailty measure. To identify physically frail older adults, an adapted version of the frailty phenotype of Fried et al is used. Subjects with three or more criteria are classified as frail, those with one or two as prefrail, and those meeting none as robust.
- Body composition: Height and weight are detected. Bioimpedance analysis (BIA) is a system of evaluation of body composition, able to calculate adjunctive information: total body water (TBW), extra and intracellular water (ECW and ICW), body cell mass (BCM), muscle mass (MM), fat mass (FM), fat free mass (FFM), basal metabolic rate.
- SPPB: The short physical performance battery (SPPB) is a group of measures that combines the results of the gait speed, chair stand and balance tests. It has been used as a predictive tool for possible disability and can aid in the monitoring of function in older people. The scores range from 0 (worst performance) to 12 (best performance).
- PASE: Physical Activity Scale for the Elderly (PASE) is a brief (5 minutes) and easily scored survey designed specifically to assess physical activity in epidemiological studies of persons age 65 years and older. The PASE score combines information on leisure, household and occupational activity. The PASE assesses the types of activities typically chosen by older adults (walking, recreational activities, exercise, housework, yard work, and caring for others. It uses frequency, duration, and intensity level of activity over the previous week to assign a score, ranging from 0 to 793, with higher scores indicating greater physical activity.
Sarcopenia will be defined as fat-free mass index (FFMI) below the 25th percentile combined with one of the following functional parameter: either an SPPB score ≤8 or a comfortable gait speed <1.0 m/s.
- Psychological test will be used to assess self conditions
- Mini Mental State Examination (MMSE): The Mini-Mental Stat Examination (MMSE) is a 10-minute measure of cognitive impairment in undeveloped, uneducated, diseased, or very old populations.
- Geriatric Depression Scale-short form (GDS-15): The Geriatric Depression Scale (GDS) is a 15- item self-report validated measure for rating depression in elderly adults. Additionally, the GDS is sensitive to depression among elderly adults suffering from mild to moderate dementia and elderly adults with physical illnesses by excluding questions pertaining to somatic complaints and cognitive dimension of depression. In this scale, a score of 6 or higher may be indicative of depression and must be evaluated jointly with patient's clinical data.
- SF-36 Medical Outcomes Study (MOS) 36-item Short Form Health Survey: This instrument should capture both mental and physical aspects of health. The 36 6-likert item assess health across eight domains, namely bodily pain, general health perceptions, mental health, physical functioning, role limitations due to emotional health problems, role limitations due to physical health problems, social functioning, and vitality. All items use categorical response options (range: 2-6 options). Two component summary scores for physical and mental health (MPS and MCS, respectively) can also be calculated.
- Laboratory Methods
- Genotyping. OpenArray technology (ThermoFisher) for genetic characterization of Single Nucleotide Polymorphisms (SNPs), based on TaqMan chemistry. DNA will be used for genotyping of genetic variants in loci for Klotho (KL) gene, Adducins (ADD1, ADD2 and ADD3) and EO synthesis (LSS, HSD3B1), metabolism (CYP11A1, ABCB1), and activity (SLC8A1, SIK1) genes, and for immunological pathway (TLR4, HMGB1, IL6, IL1).
- Biochemical measurements.
- Endogenous Ouabain measurement
- Plasma Klotho measurement.
- Immunological determinations. Simultaneous assessment of serum concentrations of epidermal growth factor (EGF), fibroblast growth factor 2 (FGF2), FMS-like tyrosine kinase 3 ligand (Flt-3L), granulocyte colony-stimulating factor (G-CSF), granulocyte-monocyte colonystimulating factor (GM-CSF), interferon-α2 (IFN-α2), INF-γ, IL-10, IL-15, IL-17, IL-1β, IL-2, IL-6, IL-8, INF-γ inducible protein 10 (IP-10), monocyte chemoattractant protein-1 (MCP-1), macrophage inflammatory protein-1β (MIP-1 β), platelet-derived growth factor-AA (PDGF-AA), soluble CD40 ligand (sCD40L), transforming growth factor alpha (TGF-α), TNF-α and vascular endothelial growth factor (VEGF).
- Conditions
- Aging, Frailty, Hypertension, CKD
- Keywords
- aging, Klotho, Hypertension, physical activity, frailty, sarcopenia, body composition, CKD, cognitive impairment, depression, inflammation, citokine, adducin, ouabain
- Medical subject headings
- Frailty, Hypertension, Motor Activity, Sarcopenia, Cognitive Dysfunction, Depression, Inflammation
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
| Study group | Role | What they receive |
|---|---|---|
| Frailty Group | The 'phenotype' of frailty (cases) is defined as follows: presence of three or more of the following features: 1. Decreased grip strength 2. Self-reported exhaustion 3. Unintentional weight loss of more than 4.5 kg over the past year 4. Slow walking speed 5. Low physical activity | |
| Non-Frailty Group | The 'phenotype' of non-frailty (control) is defined as follows: presence of less than three of the following features: 1. Decreased grip strength 2. Self-reported exhaustion 3. Unintentional weight loss of more than 4.5 kg over the past year 4. Slow walking speed 5. Low physical activity |
What is being measured
The primary outcome is the main question the study is designed to answer.
Correlation between Frailty and Klotho polymorphism, assessed by Fried Classification: non-frail (score 0), pre-frail (score 1-2) and frail (score 3-5)
Verifying the role of the polymorphism of the Klotho gene in the development of the "fragility" phenotype in elderly subjects.
Measured: 3 years
Secondary outcomes (3)
Correlation between Frailty and Klotho (KL), Adducine (ADD1, ADD2 and ADD3), Lanosterol and other polymorphisms, assessed by Fried Classification: non-frail (score 0), pre-frail (score 1-2) and frail (score 3-5)
Finding genetic profiles predisposing to the development of frailty through genotyping for Klotho (KL), Adducine (ADD1, ADD2 and ADD3), Lanosterol and further polymorphisms in genes related to renal function and the immune system.
Measured: 3 years
Correlation between Frailty and plasmatic values of endogenous ouabain, Klotho and plasma cytokines, assessed by Fried Classification: non-frail (score 0), pre-frail (score 1-2) and frail (score 3-5)
Studying the role of biomarkers in the development of frailty: endogenous ouabain, Klotho and plasma cytokines.
Measured: 3 years
Creation of a multidisciplinary frailty score, based on the outcomes of the study
Building a multidisciplinary frailty score based on biochemical, genetic and psychological results of the study.
Measured: 3 years
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted16 Nov 2020
- Study start25 Mar 2017
- Primary completion31 Mar 2021 (estimated)
- Study completion31 Mar 2021 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (76)Papers the sponsor has linked to this study.
- Other trials for AgingStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Cross-sectional
- Enrolment
- 1,500 participants (estimated)
Sponsor and investigators
- Lead sponsor
- IRCCS San Raffaele
- Sponsor type
- University, hospital or other
- Collaborators
- Cariplo Foundation
- Responsible party
- Principal investigator, Paolo Manunta, IRCCS San Raffaele
- Investigators
- Paolo Manunta, PhDMD, Principal investigator, IRCCS San Raffaele
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT04630132
- Sponsor's protocol ID
- FRASNET
- Status last verified
- Dec 2020
- First submitted
- 10 Nov 2020
- Last updated
- 11 Dec 2020
- Results posted
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Yes
Publications
Barabasi AL, Gulbahce N, Loscalzo J. Network medicine: a network-based approach to human disease. Nat Rev Genet. 2011 Jan;12(1):56-68. doi: 10.1038/nrg2918.
PubMed 21164525Barabasi AL. Network medicine--from obesity to the "diseasome". N Engl J Med. 2007 Jul 26;357(4):404-7. doi: 10.1056/NEJMe078114. Epub 2007 Jul 25. No abstract available.
PubMed 17652657Goh KI, Cusick ME, Valle D, Childs B, Vidal M, Barabasi AL. The human disease network. Proc Natl Acad Sci U S A. 2007 May 22;104(21):8685-90. doi: 10.1073/pnas.0701361104. Epub 2007 May 14.
PubMed 17502601Kyle UG, Genton L, Hans D, Karsegard VL, Michel JP, Slosman DO, Pichard C. Total body mass, fat mass, fat-free mass, and skeletal muscle in older people: cross-sectional differences in 60-year-old persons. J Am Geriatr Soc. 2001 Dec;49(12):1633-40. doi: 10.1046/j.1532-5415.2001.t01-1-49272.x.
PubMed 11843996Melton LJ 3rd, Riggs BL, Achenbach SJ, Amin S, Camp JJ, Rouleau PA, Robb RA, Oberg AL, Khosla S. Does reduced skeletal loading account for age-related bone loss? J Bone Miner Res. 2006 Dec;21(12):1847-55. doi: 10.1359/jbmr.060908.
PubMed 17002566Newman AB, Haggerty CL, Goodpaster B, Harris T, Kritchevsky S, Nevitt M, Miles TP, Visser M; Health Aging And Body Composition Research Group. Strength and muscle quality in a well-functioning cohort of older adults: the Health, Aging and Body Composition Study. J Am Geriatr Soc. 2003 Mar;51(3):323-30. doi: 10.1046/j.1532-5415.2003.51105.x.
PubMed 12588575Morley JE, Anker SD, von Haehling S. Prevalence, incidence, and clinical impact of sarcopenia: facts, numbers, and epidemiology-update 2014. J Cachexia Sarcopenia Muscle. 2014 Dec;5(4):253-9. doi: 10.1007/s13539-014-0161-y. Epub 2014 Oct 22.
PubMed 25425503Abellan van Kan G. Epidemiology and consequences of sarcopenia. J Nutr Health Aging. 2009 Oct;13(8):708-12. doi: 10.1007/s12603-009-0201-z.
PubMed 19657554Janssen I. The epidemiology of sarcopenia. Clin Geriatr Med. 2011 Aug;27(3):355-63. doi: 10.1016/j.cger.2011.03.004. Epub 2011 May 14.
PubMed 21824552Liu CK, Leng X, Hsu FC, Kritchevsky SB, Ding J, Earnest CP, Ferrucci L, Goodpaster BH, Guralnik JM, Lenchik L, Pahor M, Fielding RA. The impact of sarcopenia on a physical activity intervention: the Lifestyle Interventions and Independence for Elders Pilot Study (LIFE-P). J Nutr Health Aging. 2014 Jan;18(1):59-64. doi: 10.1007/s12603-013-0369-0.
PubMed 24402391Muscaritoli M, Lucia S, Molfino A. Sarcopenia in critically ill patients: the new pandemia. Minerva Anestesiol. 2013 Jul;79(7):771-7. Epub 2013 Jan 31.
PubMed 23370125Kalinkovich A, Livshits G. Sarcopenia--The search for emerging biomarkers. Ageing Res Rev. 2015 Jul;22:58-71. doi: 10.1016/j.arr.2015.05.001. Epub 2015 May 8.
PubMed 25962896Glassock RJ, Rule AD: The kidney in aging. In Davison AM, Cameron S, Grunfeld J-P, Ponticelli C (eds): Oxford Textbook of Clinical Nephrology, ed. 3, Oxford, Oxford University press, (2015
Glassock RJ, Rule AD. The implications of anatomical and functional changes of the aging kidney: with an emphasis on the glomeruli. Kidney Int. 2012 Aug;82(3):270-7. doi: 10.1038/ki.2012.65. Epub 2012 Mar 21.
PubMed 22437416Wang X, Vrtiska TJ, Avula RT, Walters LR, Chakkera HA, Kremers WK, Lerman LO, Rule AD. Age, kidney function, and risk factors associate differently with cortical and medullary volumes of the kidney. Kidney Int. 2014 Mar;85(3):677-85. doi: 10.1038/ki.2013.359. Epub 2013 Sep 25.
PubMed 24067437
Study at a glance
From the registry record, last updated by the sponsor on 11 Dec 2020. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Renal Ageing-sarcopenia Network: a Combined Genetic, Immunological and Psychological Approach to Dissect Frailty
- ClinicalTrials.gov ID
- NCT04630132
- Acronym / sponsor ID
- FRASNET
- Conditions
- Aging, Frailty, Hypertension, CKD
- Keywords
- aging, Klotho, Hypertension, physical activity, frailty, sarcopenia, body composition, CKD
- Study type
- Observational
- Recruitment status
- Unknown status
- Enrolment
- 1,500 participants (estimated)
- Lead sponsor
- IRCCS San RaffaeleUniversity, hospital or other
- Collaborators
- Cariplo Foundation
- Study start
- 25 Mar 2017 (actual)
- Primary completion
- 31 Mar 2021 (estimated)
- Study completion
- 31 Mar 2021 (estimated)
- First posted
- 16 Nov 2020 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
Frailty is a syndrome in which the accumulation of small, individually insignificant deficits leads to heightened vulnerability to adverse events and predisposes to potential catastrophic decompensation.
Objective of this study is to clarify the underlying genetic and immunological mechanisms responsible of frailty condition focused on: i. nephrosclerosis ageing kidney phenotype related to salt effects on immunosystem, ii. immunological aspect of sarcopenia, iii. psychological disorder related to immunosystem activation, iv. detection of new biomarkers of frailty.
Detailed description
The cross-sectional, observational cohort study include 1500 subjects (age >65 years) subdivided in 750 cases and 750 controls according to frailty.
Subjects who met the following criteria are included: 1) older than 65; 2) able to walk 500 m without assistance; 3) a Mini-Mental State Examination (MMSE) score <18; and 4) no severe health problems (eg, uncontrolled hypertension, recent upper or lower extremity fractures, myocardial infarction within the past 1 year).
According to definition for the 'phenotype' of frailty (cases) is as follows: presence of three or more of the following features:
- Decreased grip strength
- Self-reported exhaustion
- Unintentional weight loss of more than 4.5 kg over the past year
- Slow walking speed
- Low physical activity
The investigators select as control subjects with presence of less than 1 criteria . All the control subjects are evaluated by the same protocol than the cases. Subjects will be collected in collaboration with senior housing (RSA) of Milano city, country clubs, social club for elderly, and elderly university. The study will be approved by the Ethics Committee of ASL of Milano city and at individual centers by local ethical committees. All the study participants signed informed consent. At the baseline evaluation, a large amount of data is collected. First, the participants completed a battery of self-reported questionnaires concerning the demographic characteristics, psychosocial adjustment, quality of life, and health condition, in the presence of a trained psychologist in order to clarify any doubts. Second, an expert in physical education and adapted physical activity for older adults administered physical tests. Finally, people with expertise in the eld of ergonomics take anthropometric measurements. Data collection is always carried out in the same order and individually for each participant.
In all the subjects following clinical and laboratoristic data are collected:
- Clinical evaluation:
- Collection of anamnestic data.
- Blood pressure measurement. Blood pressure is measured by a trained nurse using an authomatic device (OMRON) and an appropriately sized cuff. Readings are obtained after 5 min of seated rest. The mean of 3 blood pressure measurements obtained at 1-min intervals during the medical evaluation is used to define SBP and DBP.
- Evaluation of kidney function :
- CKD is defined as a glomerular filtration rate (GFR) lower than 60 mL/min/1.73 m2 or markers of kidney damage, such as albuminuria,for greater than 3 months. A creatinine-based formula is used to estimate GFR, applying Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equations.
- Urine analysis and albumin /creatinine and sodium /creatinine ratio urinary excretion.
- Physical frailty measure. To identify physically frail older adults, an adapted version of the frailty phenotype of Fried et al is used. Subjects with three or more criteria are classified as frail, those with one or two as prefrail, and those meeting none as robust.
- Body composition: Height and weight are detected. Bioimpedance analysis (BIA) is a system of evaluation of body composition, able to calculate adjunctive information: total body water (TBW), extra and intracellular water (ECW and ICW), body cell mass (BCM), muscle mass (MM), fat mass (FM), fat free mass (FFM), basal metabolic rate.
- SPPB: The short physical performance battery (SPPB) is a group of measures that combines the results of the gait speed, chair stand and balance tests. It has been used as a predictive tool for possible disability and can aid in the monitoring of function in older people. The scores range from 0 (worst performance) to 12 (best performance).
- PASE: Physical Activity Scale for the Elderly (PASE) is a brief (5 minutes) and easily scored survey designed specifically to assess physical activity in epidemiological studies of persons age 65 years and older. The PASE score combines information on leisure, household and occupational activity. The PASE assesses the types of activities typically chosen by older adults (walking, recreational activities, exercise, housework, yard work, and caring for others. It uses frequency, duration, and intensity level of activity over the previous week to assign a score, ranging from 0 to 793, with higher scores indicating greater physical activity.
Sarcopenia will be defined as fat-free mass index (FFMI) below the 25th percentile combined with one of the following functional parameter: either an SPPB score ≤8 or a comfortable gait speed <1.0 m/s.
- Psychological test will be used to assess self conditions
- Mini Mental State Examination (MMSE): The Mini-Mental Stat Examination (MMSE) is a 10-minute measure of cognitive impairment in undeveloped, uneducated, diseased, or very old populations.
- Geriatric Depression Scale-short form (GDS-15): The Geriatric Depression Scale (GDS) is a 15- item self-report validated measure for rating depression in elderly adults. Additionally, the GDS is sensitive to depression among elderly adults suffering from mild to moderate dementia and elderly adults with physical illnesses by excluding questions pertaining to somatic complaints and cognitive dimension of depression. In this scale, a score of 6 or higher may be indicative of depression and must be evaluated jointly with patient's clinical data.
- SF-36 Medical Outcomes Study (MOS) 36-item Short Form Health Survey: This instrument should capture both mental and physical aspects of health. The 36 6-likert item assess health across eight domains, namely bodily pain, general health perceptions, mental health, physical functioning, role limitations due to emotional health problems, role limitations due to physical health problems, social functioning, and vitality. All items use categorical response options (range: 2-6 options). Two component summary scores for physical and mental health (MPS and MCS, respectively) can also be calculated.
- Laboratory Methods
- Genotyping. OpenArray technology (ThermoFisher) for genetic characterization of Single Nucleotide Polymorphisms (SNPs), based on TaqMan chemistry. DNA will be used for genotyping of genetic variants in loci for Klotho (KL) gene, Adducins (ADD1, ADD2 and ADD3) and EO synthesis (LSS, HSD3B1), metabolism (CYP11A1, ABCB1), and activity (SLC8A1, SIK1) genes, and for immunological pathway (TLR4, HMGB1, IL6, IL1).
- Biochemical measurements.
- Endogenous Ouabain measurement
- Plasma Klotho measurement.
- Immunological determinations. Simultaneous assessment of serum concentrations of epidermal growth factor (EGF), fibroblast growth factor 2 (FGF2), FMS-like tyrosine kinase 3 ligand (Flt-3L), granulocyte colony-stimulating factor (G-CSF), granulocyte-monocyte colonystimulating factor (GM-CSF), interferon-α2 (IFN-α2), INF-γ, IL-10, IL-15, IL-17, IL-1β, IL-2, IL-6, IL-8, INF-γ inducible protein 10 (IP-10), monocyte chemoattractant protein-1 (MCP-1), macrophage inflammatory protein-1β (MIP-1 β), platelet-derived growth factor-AA (PDGF-AA), soluble CD40 ligand (sCD40L), transforming growth factor alpha (TGF-α), TNF-α and vascular endothelial growth factor (VEGF).
Study design
- Observational model
- Cohort
- Time perspective
- Cross-sectional
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| Frailty Group | – | –The 'phenotype' of frailty (cases) is defined as follows: presence of three or more of the following features: 1. Decreased grip strength 2. Self-reported exhaustion 3. Unintentional weight loss of more than 4.5 kg over the past year 4. Slow walking speed 5. Low physical activity |
| Non-Frailty Group | – | –The 'phenotype' of non-frailty (control) is defined as follows: presence of less than three of the following features: 1. Decreased grip strength 2. Self-reported exhaustion 3. Unintentional weight loss of more than 4.5 kg over the past year 4. Slow walking speed 5. Low physical activity |
Who may qualify
- Ages
- 65 years and older
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Older adult
- Study population
- Community sample of the elderly population
Key inclusion criteria (5 listed)
- Age ≥ 65 years
- Male and female patients
- Patients able to walk > 500 m without assistance
- MMSE < 18
- No severe health problems (Uncontrolled hypertension, recent upper or lower extremity fractures, myocardial infarction within the past 1 year).
Key exclusion criteria (6 listed)
- Severe cardiological or pulmonary disease (NYHA IV, Gold IV)
- Intracranial interventions
- Dying patients (palliative situation)
- Not enough language skills
- Non-consenting patients
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
Correlation between Frailty and Klotho polymorphism, assessed by Fried Classification: non-frail (score 0), pre-frail (score 1-2) and frail (score 3-5)
Time frame: 3 years
Verifying the role of the polymorphism of the Klotho gene in the development of the "fragility" phenotype in elderly subjects.
3 secondary outcomes
Correlation between Frailty and Klotho (KL), Adducine (ADD1, ADD2 and ADD3), Lanosterol and other polymorphisms, assessed by Fried Classification: non-frail (score 0), pre-frail (score 1-2) and frail (score 3-5)
Time frame: 3 years
Correlation between Frailty and plasmatic values of endogenous ouabain, Klotho and plasma cytokines, assessed by Fried Classification: non-frail (score 0), pre-frail (score 1-2) and frail (score 3-5)
Time frame: 3 years
Creation of a multidisciplinary frailty score, based on the outcomes of the study
Time frame: 3 years
Results and safety
Results are not available in the source record.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 11 Dec 2020.
- Background: PubMed 21164525Barabasi AL, Gulbahce N, Loscalzo J. Network medicine: a network-based approach to human disease. Nat Rev Genet. 2011 Jan;12(1):56-68. doi: 10.1038/nrg2918.
- Background: PubMed 17652657Barabasi AL. Network medicine--from obesity to the "diseasome". N Engl J Med. 2007 Jul 26;357(4):404-7. doi: 10.1056/NEJMe078114. Epub 2007 Jul 25. No abstract available.
- Background: PubMed 17502601Goh KI, Cusick ME, Valle D, Childs B, Vidal M, Barabasi AL. The human disease network. Proc Natl Acad Sci U S A. 2007 May 22;104(21):8685-90. doi: 10.1073/pnas.0701361104. Epub 2007 May 14.
- Background: PubMed 11843996Kyle UG, Genton L, Hans D, Karsegard VL, Michel JP, Slosman DO, Pichard C. Total body mass, fat mass, fat-free mass, and skeletal muscle in older people: cross-sectional differences in 60-year-old persons. J Am Geriatr Soc. 2001 Dec;49(12):1633-40. doi: 10.1046/j.1532-5415.2001.t01-1-49272.x.
- Background: PubMed 17002566Melton LJ 3rd, Riggs BL, Achenbach SJ, Amin S, Camp JJ, Rouleau PA, Robb RA, Oberg AL, Khosla S. Does reduced skeletal loading account for age-related bone loss? J Bone Miner Res. 2006 Dec;21(12):1847-55. doi: 10.1359/jbmr.060908.
- Background: PubMed 12588575Newman AB, Haggerty CL, Goodpaster B, Harris T, Kritchevsky S, Nevitt M, Miles TP, Visser M; Health Aging And Body Composition Research Group. Strength and muscle quality in a well-functioning cohort of older adults: the Health, Aging and Body Composition Study. J Am Geriatr Soc. 2003 Mar;51(3):323-30. doi: 10.1046/j.1532-5415.2003.51105.x.
- Background: PubMed 25425503Morley JE, Anker SD, von Haehling S. Prevalence, incidence, and clinical impact of sarcopenia: facts, numbers, and epidemiology-update 2014. J Cachexia Sarcopenia Muscle. 2014 Dec;5(4):253-9. doi: 10.1007/s13539-014-0161-y. Epub 2014 Oct 22.
- Background: PubMed 19657554Abellan van Kan G. Epidemiology and consequences of sarcopenia. J Nutr Health Aging. 2009 Oct;13(8):708-12. doi: 10.1007/s12603-009-0201-z.
- Background: PubMed 21824552Janssen I. The epidemiology of sarcopenia. Clin Geriatr Med. 2011 Aug;27(3):355-63. doi: 10.1016/j.cger.2011.03.004. Epub 2011 May 14.
- Background: PubMed 24402391Liu CK, Leng X, Hsu FC, Kritchevsky SB, Ding J, Earnest CP, Ferrucci L, Goodpaster BH, Guralnik JM, Lenchik L, Pahor M, Fielding RA. The impact of sarcopenia on a physical activity intervention: the Lifestyle Interventions and Independence for Elders Pilot Study (LIFE-P). J Nutr Health Aging. 2014 Jan;18(1):59-64. doi: 10.1007/s12603-013-0369-0.
- Background: PubMed 23370125Muscaritoli M, Lucia S, Molfino A. Sarcopenia in critically ill patients: the new pandemia. Minerva Anestesiol. 2013 Jul;79(7):771-7. Epub 2013 Jan 31.
- Background: PubMed 25962896Kalinkovich A, Livshits G. Sarcopenia--The search for emerging biomarkers. Ageing Res Rev. 2015 Jul;22:58-71. doi: 10.1016/j.arr.2015.05.001. Epub 2015 May 8.
- Individual participant dataSharing planned: Yes
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Paolo Manunta, PhDMD principal investigator
IRCCS San Raffaele
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Aging and Frailty, run by IRCCS San Raffaele at 1 site in Italy.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 5 inclusion and 6 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: status not confirmed, as of the sponsor's last update on 11 Dec 2020. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Italy. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
Results are not available in the source record.
How can a doctor refer a patient or contact the research team?
Contact Chiara Lanzani (+390226433891, lanzani.chiara@hsr.it), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Correlation between Frailty and Klotho polymorphism, assessed by Fried Classification: non-frail (score 0), pre-frail (score 1-2) and frail (score 3-5) (time frame: 3 years). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT04630132, which also lists 76 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 11 Dec 2020.