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Tirupakuzhi Vijayaraghavan BK, Rashan A, Ranganathan L, Venkataraman R, Tripathy S, Jayakumar D, Ramachandran P, Mohamed ZU, Balakrishnan S, Ramakrishnan N, Haniffa R, Beane A, Adhikari NKJ, de Keizer N, Lone N. Prevalence of frailty and association with patient centered outcomes: A prospective registry-embedded cohort study from India. J Crit Care 2024; 80:154509. [PMID: 38134715 PMCID: PMC10830405 DOI: 10.1016/j.jcrc.2023.154509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 08/15/2023] [Accepted: 11/30/2023] [Indexed: 12/24/2023]
Abstract
PURPOSE We aimed to study the prevalence of frailty, evaluate risk factors, and understand impact on outcomes in India. METHODS This was a prospective registry-embedded cohort study across 7 intensive care units (ICUs) and included adult patients anticipated to stay for at least 48 h. Primary exposure was frailty, as defined by a score ≥ 5 on the Clinical Frailty Scale and primary outcome was ICU mortality. Secondary outcomes included in-hospital mortality and resource utilization. We used generalized linear models to evaluate risk factors and model association between frailty and outcomes. RESULTS 838 patients were included, with median (IQR) age 57 (42,68) yrs.; 64.8% were male. Prevalence of frailty was 19.8%. Charlson comorbidity index (OR:1.73 (95%CI:1.39,2.15)), Subjective Global Assessment categories mild/moderate malnourishment (OR:1.90 (95%CI:1.29, 2.80)) and severe malnourishment (OR:4.76 (95% CI:2.10,10.77)) were associated with frailty. Frailty was associated with higher odds of ICU mortality (adjusted OR:2.04 (95% CI:1.25,3.33)), hospital mortality (adjusted OR:2.36 (95%CI:1.45,3.84)), development of stage2/3 AKI (unadjusted OR:2.35 (95%CI:1.60, 3.43)), receipt of non-invasive ventilation (unadjusted OR:2.68 (95%CI:1.77, 4.03)), receipt of vasopressors (unadjusted OR:1.47 (95%CI:1.04, 2.07)), and receipt of kidney replacement therapy (unadjusted OR:3.15 (95%CI:1.90, 5.17)). CONCLUSIONS Frailty is common among critically ill patients in India and is associated with worse outcomes. STUDY REGISTRATION CTRI/2021/02/031503.
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Affiliation(s)
| | - Aasiyah Rashan
- Network for Improving Critical care Systems and Training, Colombo, Sri Lanka; University College, London
| | | | | | - Swagata Tripathy
- Department of Anaesthesia and Critical Care Medicine, All India Institute of Medical Sciences, Bhubaneswar, India
| | - Devachandran Jayakumar
- Department of Critical Care Medicine, Apollo Specialty Hospital, Chennai, India; Department of Critical Care Medicine, Dr. Kamakshi Memorial Hospital, Chennai, India
| | | | - Zubair Umer Mohamed
- Department of Anaesthesia and Critical Care Medicine, Amrita Institute of Medical Sciences, Amrita Vishwa Vidyapeetham, Kochi, India
| | - Sindhu Balakrishnan
- Department of Anaesthesia and Critical Care Medicine, Amrita Institute of Medical Sciences, Amrita Vishwa Vidyapeetham, Kochi, India
| | | | - Rashan Haniffa
- Mahidol Oxford Tropical Medicine Research Unit, Bangkok, Thailand; Centre for Inflammation Research, University of Edinburgh, United Kingdom
| | - Abi Beane
- Mahidol Oxford Tropical Medicine Research Unit, Bangkok, Thailand; Centre for Inflammation Research, University of Edinburgh, United Kingdom
| | - Neill K J Adhikari
- Interdepartmental Division of Critical Care Medicine, University of Toronto, Canada; Department of Critical Care Medicine, Sunnybrook Health Sciences Centre, Toronto, Canada
| | - Nicolette de Keizer
- Department of Medical Informatics, Amsterdam Public Health Research Institute, Amsterdam UMC, Amsterdam, the Netherlands
| | - Nazir Lone
- Usher Institute, University of Edinburgh, Edinburgh, United Kingdom
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Chehrehgosha M, Sharifi A, Meftah AM, Maleki H, Sajjadi-Jazi SM, Baharifar H, Khoshnevisan K, Sharifi F. Demographic and biological factors in interrelationships between physical, cognitive, psychological, and social frailty in community-dwelling older adults: Data from the Birjand Longitudinal Aging Study (BLAS). Maturitas 2024; 181:107905. [PMID: 38237276 DOI: 10.1016/j.maturitas.2023.107905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 12/23/2023] [Accepted: 12/30/2023] [Indexed: 02/05/2024]
Abstract
Complex interrelationships may exist among different types of frailty. This study aimed to evaluate the demographic and biological factors that influence the different types of frailty in community-dwelling older adults in Iran through a cross-sectional analysis of data obtained from the Birjand Longitudinal Aging Study. This study is an ongoing cohort study of people aged 60 years and over and employed a multistage stratified cluster random sampling. Anthropometric measures were obtained by nurses. The "Fried frailty phenotype" was defined as physical frailty. Cognitive frailty was assessed using the Mini-Mental State Examination. Social frailty was evaluated by some questions, and psychological frailty was assessed using a patient health questionnaire. Blood samples were taken after overnight fasting. All statistical analyses were performed using Stata12 (Texas, USA) and Python. Some type of frailty had been experienced by 62.27 % of the older adults. Cognitive frailty was the dominant type of frailty (55.69 %). Based on multivariate regression analysis, age, sex, education, and marital status were the influencing factors in all types of frailty. Network analysis revealed that physical, cognitive, psychological, and social frailty had synergistic effects on each other, and age and sex had dominant interactions with frailty types. Cognitive frailty was dominant compared with other types of frailty, indicating the need to detect cognitive frailty at the earliest stage and to implement an appropriate program to manage cognitive frailty in older adults.
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Affiliation(s)
- Maryam Chehrehgosha
- Department of Surgical Technology, Paramedical School, Golestan University of Medical Sciences, Gorgan 4934174515, Iran; Elderly Health Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran 1411713137, Iran
| | - Ali Sharifi
- Master of Artificial Intelligence, Faculty of Electronic and Computer Engineering, Tarbiat Modarres University, Tehran, Iran
| | | | - Hassan Maleki
- Nano Drug Delivery Research Center, Health Technology Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Sayed Mahmoud Sajjadi-Jazi
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran 1411713137, Iran
| | - Hadi Baharifar
- Department of Biomedical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
| | - Kamyar Khoshnevisan
- Medical Nanotechnology and Tissue Engineering Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran; Department of Tissue Engineering and Applied Cell Sciences, School of Advanced Technologies in Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Farshad Sharifi
- Elderly Health Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran 1411713137, Iran.
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Cognitive Function, and Its Relationships with Comorbidities, Physical Activity, and Muscular Strength in Korean Older Adults. Behav Sci (Basel) 2023; 13:bs13030212. [PMID: 36975236 PMCID: PMC10045882 DOI: 10.3390/bs13030212] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Revised: 02/25/2023] [Accepted: 02/28/2023] [Indexed: 03/06/2023] Open
Abstract
Background: Little is known regarding how much physical activity (PA) and lower-body muscle strength (LBMS) together can help to reduce the negative effect of comorbidities on cognitive function. This study examined the moderating effects of PA and LBMS in determining the relationship between comorbidities and cognitive function in older Korean adults. Materials and Methods: This is a population-based cross-sectional study. Data for this study were taken from the 2020 Korea Longitudinal Study on Aging (KLoSA) in South Korea using a computer-assisted personal interview. The 2020 KLoSA survey included a total of 10,097 older individuals aged 65 and older (6062 females and 4035 men). Comorbidities were determined based on physician-diagnosed chronic conditions. PA and LBMS were measured with a self-reported questionnaire and a sit-to-stand test, respectively. Cognitive function was assessed using the Korean version of the Mini-Mental Status Examination for dementia screening. Results: Multimorbidity was correlated with an increased risk (odds ratio, OR = 1.415, p < 0.001) of cognitive impairment. Insufficient PA and weak LBMS were correlated with an increased risk of cognitive impairment (OR = 1.340, p < 0.001; OR = 1.719, p < 0.001, respectively). Particularly, PA modulates the negative impact of comorbidities on cognitive function (β = −0.3833; 95% CI = −0.4743 to −0.2023) independent of all measured covariates. Weak LBMS was found to be an independent predictor of cognitive function (β = −2.5078, p < 0.001) regardless of comorbidities. Conclusions: The study findings suggest that a lifestyle intervention targeting regular PA and muscular fitness should be a therapeutic means against cognitive decline associated with normal aging and/or chronic diseases.
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Das S, Prasad J. Gender Differences in Determinants of the Components of the Frailty Phenotype among Older Adults in India: Findings from LASI Wave-1. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:3055. [PMID: 36833748 PMCID: PMC9965095 DOI: 10.3390/ijerph20043055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 02/07/2023] [Accepted: 02/08/2023] [Indexed: 06/18/2023]
Abstract
This study examines the gender-specific determinants of the components of frailty in a community-dwelling setting in India. Using data from the Longitudinal Ageing Study in India (LASI) Wave-1, this study employed 30,978 (14,885 male and 16,093 female) older adults (aged 60+) to fulfil the study objective. The modified Fried frailty phenotype criteria defines frailty by the five components: exhaustion, weak grip strength, slow walking speed, unintentional weight loss, and low physical activity. The result showed grip strength (79.1%) as the most discriminant component among males, and physical activity (81.6%) as the most discriminant component among females. The results also indicated that grip strength (male: 98.0%, female: 93.5%) and physical activity (male: 94.8%, female: 96.9%) showed a sensitivity of more than 90%, which appears to be a good indicator of frailty. Combining this dual marker increased the accuracy to 99.97% among male and 99.98% among female samples. The findings suggested adding grip strength and physical activity as a proxy measure of frailty, which can increase the precision of screening without a large additional investment of time, training, or cost.
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Affiliation(s)
- Sayani Das
- International Institute of Health Management Research, Delhi 110075, India
| | - Jitender Prasad
- International Institute for Population Sciences, Mumbai 400088, India
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Meratwal G, Banseria R, Khanna M, Kumar A. Prevalence and factors associated with frailty among elderly in central Rajasthan: A cross-sectional study. CLINICAL EPIDEMIOLOGY AND GLOBAL HEALTH 2023. [DOI: 10.1016/j.cegh.2023.101215] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023] Open
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Faria ADCA, Martins MMFPS, Ribeiro OMPL, Ventura-Silva JMA, Fonseca EF, Ferreira LJM, Teles PJFC, Laredo-Aguilera JA. Multidimensional Frailty and Lifestyles of Community-Dwelling Older Portuguese Adults. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:14723. [PMID: 36429441 PMCID: PMC9691079 DOI: 10.3390/ijerph192214723] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 11/04/2022] [Accepted: 11/05/2022] [Indexed: 06/16/2023]
Abstract
(1) Background: Lifestyles are referred to as conditioning factors for the frailty of older adults. However, there are few studies that explore its association. The objective of the present study is to analyze the association between sociodemographic, clinical, and lifestyle factors of older adults people with multidimensional frailty. (2) Methods: Descriptive and correlational study carried out with older adults people registered in a Health Unit in Portugal. Data were collected through a sociodemographic and clinical questionnaire and application of the Individual Lifestyle Profile and Tilburg Frailty Index to assess the lifestyles and multidimensional frailty of older adults, respectively. This last instrument, being of a multidimensional nature, assesses not only physical, but also psychological and social frailty, with a cut-off point of 6. (3) Results: Of the 300 older adults who participated, most were female (60.3%) and had a mean age of 81.34 ± 6.75 years. Moreover, 60.3% of the sample were frail older adults. Gender, marital status, number of household members, number of chronic diseases, number of daily medications, self-perception of health status and lifestyle and use of a walking device were associated with multidimensional frailty (p ≤ 0.001). Healthy eating habits, physical activity, relational behaviour, preventive behaviour, and stress management were significantly associated with lower physical, psychological, and social frailty (p ≤ 0.001). (4) Conclusions: When community health workers are aware of multidimensional frailty predictors and their components, they can intervene early and, consequently, delay the onset and progression of frailty in older adults.
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Affiliation(s)
- Ana da Conceição Alves Faria
- Abel Salazar Biomedical Sciences Institute, University of Porto, Rua Jorge de Viterbo Ferreira 228, 4050-313 Porto, Portugal
- North Region Health Administration, 4000-447 Porto, Portugal
- CINTESIS@RISE, 4050-313 Porto, Portugal
| | | | | | - João Miguel Almeida Ventura-Silva
- Abel Salazar Biomedical Sciences Institute, University of Porto, Rua Jorge de Viterbo Ferreira 228, 4050-313 Porto, Portugal
- Centro Hospitalar Universitário de São João, 4200-319 Porto, Portugal
| | | | | | - Paulo João Figueiredo Cabral Teles
- School of Economics, University of Porto, 4200-465 Porto, Portugal
- Laboratory of Artificial Intelligence and Decision Support—INESC Porto LA, 4200-465 Porto, Portugal
| | - José Alberto Laredo-Aguilera
- Facultad de Fisioterapia y Enfermería, Campus de Fábrica de Armas, Universidad de Castilla-La Mancha, Av de Carlos III, nº 21, 45071 Toledo, Spain
- Multidisciplinary Research Group in Care (IMCU), University of Castilla-La Mancha, 45005 Toledo, Spain
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