Готові списки джерел за темами / Fraility

Добірка наукової літератури з теми "Fraility"

Автор: Grafiati
Опубліковано: 10 грудня 2022
Оновлено: 28 січня 2023

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Статті в журналах з теми "Fraility"

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Rasheed, R., A. Patel, and Y. Shanthakumaran. "An observational study of the correlation of efi severity with depression." European Psychiatry 65, S1 (June 2022): S650—S651. http://dx.doi.org/10.1192/j.eurpsy.2022.1669.

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Introduction Patients with high fraility indices experience poor mental health due to multiple co morbidity and social isolation. Objectives This was a retrospective observational analysis that studied the correlation of Electronic frailty indices and GAD scores with Depression scores in a rural population. Methods An annual frailty assessment is offered to elderly patients and we screen routinely for anxiety and depression using the PHQ-9 score and GAD score. This was an observational study examining the correlation of the Electronic Frailty Indices (EFI) depression and anxiety scores. Results Of the 118 patients ranging from mild to severe frailty we found a positive correlation of the EFI with the Depression and anxiety scores. Within the data set, the correlation coefficient of EFI scores and PHQ 9 scores was found to be 0.819. Similarly within the same data set we found a correlation coefficient of EFI and GDS scores of 0.651. The higher the EFI the greater was the scale of dependency and comorbidity and this correlation was consistent across the data set with depression and anxiety. We believe physical impairment, loss of independence and social isolation cognitive decline contribute to loss of self-esteem. Conclusions Our study found a positive correlation between frailty severity based on EFI scores and depression and anxiety severity. Early detection in deterioration of mental health will enable supportive measures and targeted treatment strategies. Our study shows the strong correlation of EFI severity scores with worse mental health. Disclosure No significant relationships.
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Ogawa, Asao, Fumio Nagashima, and Tetsuya Hamaguchi. "Evaluation of the G8 screening tools for fraility in older patients with cancer." Annals of Oncology 26 (November 2015): vii119. http://dx.doi.org/10.1093/annonc/mdv472.59.

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Toolan, Shane, Marie Therese Cooney, and Orla Collins. "259ASSOCIATION BETWEEN FRAILITY, LENGTH OF STAY AND DISCHARGE DESTINATION IN THE ACUTE MEDICAL UNIT." Age and Ageing 45, suppl 2 (September 2016): ii13.127—ii56. http://dx.doi.org/10.1093/ageing/afw159.225.

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Kochar, Bharati, Winston Cai, Andrew Cagan, and Ashwin Ananthakrishnan. "Sa1830 FRAILITY IS INDEPENDENTLY ASSOCIATED WITH INCREASED MORTALITY IN PATIENTS WITH INFLAMMATORY BOWEL DISEASES." Gastroenterology 158, no. 6 (May 2020): S—443. http://dx.doi.org/10.1016/s0016-5085(20)31790-x.

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Monga, Shveta, Dominic Haigh, David Royan, Chitsa Seyani, Richard Francis, Paul Foley, and Badrinath Chandrasekaran. "19 Modified fraility index as predictor of outcome for patients implanted with cardiac resynchronisation therapy." Heart 103, Suppl 5 (June 2017): A15. http://dx.doi.org/10.1136/heartjnl-2017-311726.19.

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Kochar, Bharati, Winston Cai, Andrew Cagan, and Ashwin Ananthakrishnan. "281 FRAILITY IS ASSOCIATED WITH AN INCREASED RISK OF INFECTIONS IN INFLAMMATORY BOWEL DISEASE PATIENTS ON IMMUNOSUPPRESSION." Gastroenterology 158, no. 6 (May 2020): S—54. http://dx.doi.org/10.1016/s0016-5085(20)30818-0.

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Kim, Woo-Kyung, and Chung-Won Chung. "2014, 2017 National Survey of Older Koreans Frailty & Applying Frailty Measurement." Journal of Coaching Development 21, no. 3 (September 30, 2019): 101–10. http://dx.doi.org/10.47684/jcd.2019.09.21.3.101.

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Pierce, Katherine E., Peter G. Passias, Alan H. Daniels, Renaud Lafage, Waleed Ahmad, Sara Naessig, Virginie Lafage, et al. "Baseline Frailty Status Influences Recovery Patterns and Outcomes Following Alignment Correction of Cervical Deformity." Neurosurgery 88, no. 6 (February 20, 2021): 1121–27. http://dx.doi.org/10.1093/neuros/nyab039.

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Abstract BACKGROUND Frailty severity may be an important determinant for impaired recovery after cervical spine deformity (CD) corrective surgery. OBJECTIVE To evaluate postop clinical recovery among CD patients between frailty states undergoing primary procedures. METHODS Patients >18 yr old undergoing surgery for CD with health-related quality of life (HRQL) data at baseline, 3-mo, and 1-yr postoperative were identified. Patients were stratified by the modified CD frailty index scale from 0 to 1 (no frailty [NF] <0.3, mild/severe fraily [F] >0.3). Patients in NF and F groups were propensity score matched for TS-CL (T1 slope [TS] minus angle between the C2 inferior end plate and the C7 inferior end plate [CL]) to control for baseline deformity. Area under the curve was calculated for follow-up time intervals determining overall normalized, time-adjusted HRQL outcomes; Integrated Health State (IHS) was compared between NF and F groups. RESULTS A total of 106 CD patients were included (61.7 yr, 66% F, 27.7 kg/m2)—by frailty group: 52.8% NF, 47.2% F. After propensity score matching for TS-CL (mean: 38.1°), 38 patients remained in each of the NF and F groups. IHS-adjusted HRQL outcomes from baseline to 1 yr showed a significant difference in Euro-Qol 5 Dimension scores (NF: 1.02, F: 1.07, P = .016). No significant differences were found in the IHS Neck Disability Index (NDI) and modified Japanese Orthopedic Association between frailty groups (P > .05). F patients had more postop major complications (31.3%) compared to the NF (8.9%), P = .004, though DJK occurrence and reoperation between the groups was not significant. CONCLUSION While all groups exhibited improved postop disability and pain scores, frail patients experienced greater amount of improvement in overall health state compared to baseline disability. This signifies that with frailty severity, patients have more room for improvement postop compared to baseline quality of life.
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Ostroumova, Olga D., and Marina S. Cherniaeva. "Evidence base regarding target levels of arterial pressure in patients after a stroke: focus on a geriatric population." Systemic Hypertension 17, no. 1 (May 7, 2020): 51–61. http://dx.doi.org/10.26442/2075082x.2020.1.200039.

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Arterial hypertension (AH) is a very significant and most common risk factor for stroke, and lowering blood pressure (BP) is the most effective action to prevent stroke in patients with AH. This article provides an overview of existing randomized clinical trials (RCTs) and meta-analyzes to study the optimal target BP levels in patients with AH and cerebral events with a history of focusing on the geriatric population. As a result of the analysis of literature data, we obtained contradictory results: RCTs showed the benefits of lower target BP, in only two of them the target level of systolic BP (SBP) was less than 130 mm Hg, and the average age of patients included in the RCTs varied from 60 to 68 years, the number of patients older than 75 years was insignificant, and some studies excluded patients older than 85 years. Several subanalyses analyzed by RCTs found a J-shaped relationship between BP levels achieved and the risk of adverse cardiovascular events. One of them showed that with a decrease in BP below the SBP 120 mm Hg and DBP 65 mm Hg higher BP was associated with a lower risk of cardiovascular events. Another one showed that the risk of re-stroke and the risk of subsequent adverse events was statistically significantly higher in patients with an average level of SBP below 120 mm Hg than in patients with a level of SBP of 130139 mm Hg. The meta-analysis published in the Cochrane database did not show significant advantages of lowering BP130/85 mm Hg versus standard lowering BP140160/90100 mm Hg, while another meta-analysis revealed some advantages of a more intense decrease in BP for the prevention of re-stroke. Existing studies did not take into account the heterogeneity of the geriatric population and did not include patients with fraility and multimorbidity patients, and did not take into account the type of stroke to develop a differentiated approach to the tactics of lowering BP in patients of all age groups. Therefore, in relation to the recommended ESC/ESH experts in 2018, target BP levels of 120129/7079 mm Hg (aged 1865 years) and 130139/7079 mmHg (aged 65 years) for patients with AH and a history of cerebral events, there are still some doubts about the benefits of lower target BP values for the prevention of re-stroke and other cardiovascular events for the entire population of geriatric patients, especially patients older than 75, so specially designed randomized controlled trials are needed.
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Cusack, Britt, and Christian Harbin. "“Frailing” or Failing? Defining frailty syndrome vs adult failure to thrive for clinical practice." Geriatric Nursing 38, no. 5 (September 2017): 464–65. http://dx.doi.org/10.1016/j.gerinurse.2017.08.010.

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Дисертації з теми "Fraility"

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Meehan, Conor J., M. G. I. Langille, and R. G. Beiko. "Frailty and the Microbiome." Karger, 2015. http://hdl.handle.net/10454/17257.

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No
From the moment of birth, the human body plays host to a rich diversity of microbes. Body sites such as the skin, the gut and the mouth support communities of microorganisms (collectively known as the microbiome) that are both numerous and diverse. As our understanding of the microbiome advances, it is evident that these microbial populations participate in a multitude of symbiotic associations with us. The disruption of these associations can lead to a range of diseases beyond mere pathogenesis as microbial nutrition, signaling, and immune defense break down. It is known that changes in microbial composition occur as the human host ages and that diet and living conditions influence the microbiome of older individuals. However, the link between the microbiome and frailty is as yet mostly unexplored. Although the microbiome is likely to influence health factors that contribute to frailty, further work is needed to determine whether overall microbial signatures of frailty exist and, if so, what the diagnostic and therapeutic utility of these signatures might be.
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Wienke, Andreas. "Frailty models in survival analysis." [S.l.] : [s.n.], 2007. http://deposit.ddb.de/cgi-bin/dokserv?idn=985529598.

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Pause, Cheryl A. "Frailty misspecification in survival data." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape15/PQDD_0027/NQ31107.pdf.

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Boneng, Yus T. "Weibull frailty for modelling heterogeneity." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp05/NQ61968.pdf.

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Afilalo, Jonathan. "Frailty assessment before cardiac surgery." Thesis, McGill University, 2010. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=92222.

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Background: Frailty is a geriatric syndrome of impaired resistance to stressors which has been implicated in the pathogenesis and prognosis of cardiovascular disease. Our objective was to systematically explore the role of frailty in patients with cardiovascular disease, and determine the incremental prognostic value of frailty (as measured by gait speed) for predicting adverse events in elderly patients with cardiovascular disease undergoing cardiac surgery.
Methods: After performing a systematic review of the literature, a multi-center prospective cohort of elderly patients undergoing cardiac surgery was assembled. Patients were evaluated with a questionnaire and timed 5-meter gait speed test, with frailty defined as a time taken to walk 5 meters ≥6 seconds. The composite endpoint was postoperative mortality or major morbidity.
Results: Based on nine previous studies, the prevalence of frailty was found to be 2-4 fold greater in patients with cardiovascular disease. Two studies suggested that frailty was a risk factor for mortality, although none specifically addressed frailty as a risk factor for adverse events in response to a cardiac surgery. Our cohort consisted of 131 patients undergoing cardiac surgery with a mean age of 75.8±4.4 years and 34% females. Thirty patients experienced the composite endpoint and frailty (slow gait speed) was an independent predictor (odds ratio 3.05, 95% confidence interval 1.23, 7.54). Addition of frailty to traditional risk assessment models resulted in notable improvements in model performance.
Conclusion: The prevalence of frailty is increased in patients with cardiovascular disease. Frailty, as measured by 5-meter gait speed, is a simple and effective test to identify a subset of vulnerable elders who have an incrementally higher risk of adverse events after cardiac surgery. Further studies are needed to validate the optimal cut-off for slow gait speed.
Objectif: La fragilité est un syndrome gériatrique qui signifie une diminution de la résistance au stress physiologique impliquée dans la pathogénèse et le pronostique des maladies cardiovasculaires. Notre objectif était de revoir de façon systématique le rôle de la fragilité dans les maladies cardiovasculaires et de déterminer la valeur incrémentielle de la fragilité (telle que mesurée par la vitesse de marche) pour prédire la mortalité et la morbidité chez les sujets âgés atteints de maladie cardiovasculaire subissant une chirurgie cardiaque.
Méthodes: Après avoir revu la littérature systématiquement, une cohorte multicentrique prospective de sujets âgés subissant une chirurgie cardiaque a été assemblée. Les sujets ont été évalués à l'aide d'un questionnaire et du test de vitesse de marche sur 5 mètres avec la fragilité définie comme étant un temps ≥6 secondes pour marcher 5 mètres. L'issue primaire étant un composé de la mortalité postopératoire et des complications majeures.
Résultats: Neuf études précédentes ont démontré que la prévalence de la fragilité était 2-4 fois plus élevée chez les patients avec une maladie cardiovasculaire. Deux études ont démontré que la fragilité était un facteur de risque pour la mortalité, cependant, aucune étude n'avait précisément adressé la fragilité comme facteur de risque après une chirurgie cardiaque. Notre cohorte incluait 131 sujets subissant une chirurgie cardiaque dont l'âge moyen était de 75.8±4.4 ans et 34% étaient des femmes. Trente patients ont développé l'issue primaire et la fragilité (faible vitesse de marche) était un prédicteur indépendant (odds ratio 3.05, 95% confidence interval 1.23, 7.54). L'inclusion de la fragilité au modèle de prédiction traditionnel a eu comme résultat une nette amélioration des performances du modèle.
Conclusion: La prévalence de fragilité est plus élevée chez les sujets âgés atteints de maladie cardiovasculaire. La vitesse de marche est un test simple et efficace pour identifier une sous-population de patients vulnérables ayant un risque plus élevé de mortalité et morbidité après une chirurgie cardiaque. D'autres études sont nécessaires pour valider la valeur seuil optimale de vitesse de marche.
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Soong, John. "Frailty assessment in acute care." Thesis, Imperial College London, 2017. http://hdl.handle.net/10044/1/50158.

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Introduction For some people, ageing is associated with the experience of increased co-morbidity, functional impairment, poor resilience and heightened vulnerability to external stressors, resulting in reduced lifespan as well as health-span. This frailty phenomenon poses challenges to health care systems in the form of increased patient complexity and resource utilisation. The acute care setting, characterised by time-pressure and high patient turn-over, is under strain and struggles to recognise and subsequently reliably intervene, to prevent, reverse or halt the decline of this vulnerable cohort. Methods This mixed-methods study probes existing evidence and ‘real-world’ processes with a systematic review of frailty assessments developed or validated in the acute care setting and a survey of contemporaneous clinical practice in London Acute Medical Units. Content validation and understanding of contextual factors for ideal frailty assessment in acute care is explored using Delphi consensus and Focus Group methodology respectively. The resultant model is developed on existing retrospective national Hospital Episode Statistics data, and prospectively tested on observational data in a local Acute Medical Unit setting. Results Existing frailty scores are preponderantly biophysical in nature, and have poor predictive power for adverse outcomes in the acute care setting. In clinical practice, single-dimension assessment tools predominate. Frailty syndromes and previous high resource utilisation in the form of a simple, clinically relevant tool useful to the multidisciplinary team gain consensus as optimal assessment for the setting. Retrospective testing of the frailty model displays moderate predictive powers for adverse events (inpatient mortality, emergency readmission and institutionalisation) and prospective testing provides concurrent (Frailty Index, Age, Co-Morbidity) and comparative predictive validity (Frailty Index, Co-Morbidity, admission National Early Warning Score) with existing risk stratification models in this setting. Conclusions A risk prediction model based on frailty syndromes and previous high resource utilisation is a valid, feasible and useful for the acute care setting.
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Brunk, Jennifer M. "FRAILTY: MEANINGFUL CONCEPT OR CONCEPTUAL MUDDLE?" Oxford, Ohio : Miami University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=miami1183660563.

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Grenier, Amanda. "Diverse older women : narratives negotiating frailty." Thesis, McGill University, 2002. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=82884.

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This study explores women's narratives from within and outside of the frail/non-frail binary of public home care services. It focuses on the stories that are commonly told about older women's needs and bodies and the regulatory potential of these accounts. Considering power, language, diversity and change, this study focuses on the way that twelve diverse older women at various social locations (e.g., ability, age, culture, ethnicity, 'race', sexual orientation, and socio-economic status) understand, make meaning, and negotiate the concept of frailty in relation to their everyday lives. The sample includes six women considered 'frail' in relation to service (i.e., according to clinical judgement & home care eligibility guidelines), as well as women not considered 'frail' (i.e., non-service recipients).
The twelve older women's storied responses, illustrations and experiences challenge the various stories that are told about them. Their complex accounts both reflect and reject dominant notions, blur the boundary between the frail and non-frail classifications, expose frailty as contextual, temporal and relative, as well as illustrate the connections between medical and social needs. Their individual accounts highlight how they make meaning of their life events in relation to their diverse experiences and identities, as well as how these identities and interpretations are key to their negotiations of life and needs. The variations between the imposed stories about frailty and women's self-perceptions highlight the research, policy and practice relevance of a narrative approach focused on in-depth local accounts, raise questions about the current priorities within home care services, as well as the future of social work practice with older women considered frail.
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Collins, Susan Kay Ransom Palmer Mary H. "Associations between frailty and sex and frailty and race in hospitalized chronic heart failure patients an exploratory study /." Chapel Hill, N.C. : University of North Carolina at Chapel Hill, 2007. http://dc.lib.unc.edu/u?/etd,1226.

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Thesis (Ph. D.)--University of North Carolina at Chapel Hill, 2007.
Title from electronic title page (viewed Mar. 26, 2008). "... in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the School of Nursing." Discipline: Nursing; Department/School: Nursing.
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Pelagia, Ioanna. "Variable selection of fixed effects and frailties for Cox Proportional Hazard frailty models and competing risks frailty models." Thesis, University of Manchester, 2016. https://www.research.manchester.ac.uk/portal/en/theses/variable-selection-of-fixed-effects-and-frailties-for-cox-proportional-hazard-frailty-models-and-competing-risks-frailty-models(c75c6314-f43e-4d69-a2de-942bece6a404).html.

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This thesis focuses on two fundamental topics, specifically in medical statistics: the modelling of correlated survival datasets and the variable selection of the significant covariates and random effects. In particular, two types of survival data are considered: the classical survival datasets, where subjects are likely to experience only one type of event and the competing risks datasets, where subjects are likely to experience one of several types of event. In Chapter 2, among other topics, we highlight the importance of adding frailty terms on the proposed models in order to account for the association between the survival time and characteristics of subjects/groups. The main novelty of this thesis is to simultaneously select fixed effects and frailty terms through the proposed statistical models for each survival dataset. Chapter 3 covers the analysis of the classical survival dataset through the proposed Cox Proportional Hazard (PH) model. Utilizing a Cox PH frailty model, may increase the dimension of variable components and estimation of the unknown coefficients becomes very challenging. The method proposed for the analysis of classical survival datasets involves simultaneous variable selection on both fixed effects and frailty terms through penalty functions. The benefit of penalty functions is that they identify the non-significant parameters and set them to have a zero effect in the model. Hence, the idea is to 'doubly-penalize' the partial likelihood of the Cox PH frailty model; one penalty for each term. Estimation and selection implemented through Newton-Raphson algorithms, whereas closed iterative forms for the estimation and selection of fixed effects and prediction of frailty terms were obtained. For the selection of frailty terms, penalties imposed on their variances since frailties are random effects. Based on the same idea, we further extend the simultaneous variable selection in the competing risks datasets in Chapter 4, using extended cause-specific frailty models. Two different scenarios are considered for frailty terms; in the first case we consider that frailty terms vary among different types of events (similar to the fixed effects) whereas in the second case we consider shared frailties over all the types of events. Moreover, our 'individual penalization' approach allows for one covariate to be significant for some types of events, in contrast to the frequently used 'group-penalization' where a covariate is entirely removed when it is not significant over all the events. For both proposed methods, simulation studies were conduced and showed that the proposed procedure followed for each analysis works well in simultaneously selecting and estimating significant fixed effects and frailty terms. The proposed methods are also applied to real datasets analysis; Kidney catheter infections, Diabetes Type 2 and Breast Cancer datasets. Association of the survival times and unmeasured characteristics of the subjects was studied as well as a variable selection for fixed effects and frailties implemented successfully.
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Книги з теми "Fraility"

1

Desai, Rupin W. Fraility, thy name is woman: Novel. New Delhi: Har-Anand Publications, 1993.

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Duchateau, Luc. The frailty model. New York: Springer Verlag, 2008.

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3

Interdisciplinary Colloquium "Longevity and frailty" (2004 Paris, France). Longevity and frailty. New York, NY: Springer, 2005.

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Duchateau, Luc. The frailty model. New York: Springer Verlag, 2008.

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5

The frailty myth. New York: Random House, 2000.

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Carey, James R., Jean-Marie Robine, Jean Pierre Michel, and Yves Christen, eds. Longevity and Frailty. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/b138997.

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Duchateau, Luc. The frailty model. New York: Springer Verlag, 2008.

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8

Rahman, Shibley. Living with frailty. Abingdon, Oxon; New York, NY: Routledge, 2018.: Routledge, 2018. http://dx.doi.org/10.4324/9780203732694.

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9

Of human frailty. London: Hale, 1987.

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10

Ruttan, Sandra. The frailty of flesh. New York: Dorchester Publishing Co., 2008.

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Частини книг з теми "Fraility"

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Büla, Christophe J., Manuel Sanchez Perez, and Laurence Seematter Bagnoud. "Frailty." In Primary Care Mental Health in Older People, 31–44. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-10814-4_4.

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Joseph, Bellal, and Ahmed Hassan. "Frailty." In Principles and Practice of Geriatric Surgery, 1–10. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-20317-1_8-1.

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Jacobs, Andreas H., and Cornelius Bollheimer. "Frailty." In Neurogeriatrie, 49–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-662-57358-7_5.

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Joseph, Bellal, and Ahmed Hassan. "Frailty." In Principles and Practice of Geriatric Surgery, 95–104. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-47771-8_8.

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Walston, Jeremy D. "Frailty." In Geriatrics for Specialists, 3–12. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31831-8_1.

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Talley, Cynthia L., and Andrew C. Bernard. "Frailty." In Geriatric Trauma and Critical Care, 89–97. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-48687-1_10.

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Morley, John E. "Frailty." In Pathy's Principles and Practice of Geriatric Medicine, 1387–93. Chichester, UK: John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9781119952930.ch113.

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Griebling, Tomas Lindor. "Frailty." In Geriatric Urology, 47–54. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-9047-0_4.

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Hazzard, William Russell. "Frailty." In Cardiovascular Disease in the Elderly, 51–77. Totowa, NJ: Humana Press, 2005. http://dx.doi.org/10.1385/1-59259-941-9:051.

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Egan, Allen. "Frailty." In Geriatric Rehabilitation, 131–39. Boca Raton, FL : CRC Press/Taylor & Francis Group, 2017.: CRC Press, 2017. http://dx.doi.org/10.1201/9781315373904-7.

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Тези доповідей конференцій з теми "Fraility"

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Sahin, U. K., A. Demircioglu, and N. Kirdi. "AB1077 Investigation of fraility, mobility and daily life activity in elderly." In Annual European Congress of Rheumatology, EULAR 2018, Amsterdam, 13–16 June 2018. BMJ Publishing Group Ltd and European League Against Rheumatism, 2018. http://dx.doi.org/10.1136/annrheumdis-2018-eular.7029.

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Aliberti, Márlon Juliano Romero, Claudia Szlejf, Claudia Kimie Suemoto, Murilo Bacchini Dias, Wilson Jacob-Filho, and Thiago Junqueira Avelino-Silva. "FRAILTY AND MORTALITY RISK IN PATIENTS WITH SEVERE COVID-19: PROGNOSIS BEYOND THE AGE CRITERION." In XXII Congresso Brasileiro de Geriatria e Gerontologia. Zeppelini Publishers, 2021. http://dx.doi.org/10.5327/z2447-21232021res05.

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Анотація:
OBJECTIVE: To investigate the association between frailty and death in hospitalized patients with COVID-19. METHODOLOGY: Prospective cohort study with patients ≥ 50 years hospitalized with COVID-19. Frailty was assessed using the Clinical Frailty Scale and the frailty index. Patients with a Clinical Frailty Scale score ≥ 5 were considered frail. The primary endpoints were mortality at 30 and 100 days after hospital admission. We used Cox proportional hazard models to investigate the association between frailty and mortality. We also explored whether frailty predicted different mortality levels among patients within strata of similar age and acute disease severity (Sequential Organ Failure Assessment score). RESULTS: A total of 1,830 patients were included (mean age 66 years; 58% men; 27% frail according to Clinical Frailty Scale score). The mortality risk at 30 days (adjusted hazard ratio = 1.7; 95% CI 1.4 - 2.1; p <0.001) and 100 days (adjusted hazard ratio = 1.7; 95% CI 1.4 - 2.1; p <0.001) was almost double for frail patients. The Clinical Frailty Scale also predicted different mortality levels among patients within strata of similar age and acute disease severity. Frailty intensified the effect of acute disease severity on the risk of death (p for interaction = 0.01). Of note, the Clinical Frailty Scale achieved outstanding accuracy to identify frailty according to the frailty index (area under the ROC curve = 0.94; 95% CI 0.93 - 0.95). CONCLUSIONS: Our results encourage the use of the Clinical Frailty Scale in association with measures of acute disease severity to determine prognosis and promote adequate resource allocation in hospitalized patients with COVID-19.
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Santana, Beatriz Franco de, Flávia Arbex Borim, Deusivania Silva Falcão, Meire Cachioni, Samila Tavares Batistoni, Ruth Melo, Anita Neri, and Monica Yassuda. "COGNITION, FUNCTIONAL STATUS AND FRAILTY AMONG THE OLDEST OLD." In XIII Meeting of Researchers on Alzheimer's Disease and Related Disorders. Zeppelini Editorial e Comunicação, 2021. http://dx.doi.org/10.5327/1980-5764.rpda101.

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Background: Frailty is defined as a recognizable state of increased vulnerability resulting from age-associated decline of function in various physiological systems. Objective: To assess possible associations between cognition, function status and frailty in a sample of oldest old with performance below cut off scores for dementia in the MMSE. Methods: Sociodemographic, cognitive, functional status and frailty data were obtained from 130 individuals.Frailty was defined by Fried’s frailty phenotype.Functional status was measured by the Functional Activities Questionnaire.The Cognitive Dementia Rating scale was applied to assess dementia severity. Results: In all,28% were male and 72% female,mean age of 82.4 years(SD=5.3).40% were illiterate and 94% had held jobs based on manual activity.In the sample 54.6% had functional impairment.Among participants with normal cognition and functional status,6.1% were frail,8.4% pre-frail and 7.6% robust,among those with impaired cognition and preserved functional status,13% were frail,6.9% pre-frail and 0.7% robust;among those with impaired cognition and functional status,30,7% were frail,19.2% pre-frail and 4.6% robust;and among those with preserved cognition and impaired functional status,0% were frail or robust and 2.3% pre-frail. Conclusion: Participants with impaired cognition and functional status included the largest number of frail and pre-frail participants. These results suggest that impaired cognition and functional status are associated with frailty among the oldest old.
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Berliner, MN. "Frailty und Stürze." In 122. Jahreskongress der Deutschen Gesellschaft für Physikalische Medizin und Rehabilitation. Georg Thieme Verlag KG, 2017. http://dx.doi.org/10.1055/s-0037-1605393.

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Kang, Hyun Gu, Madalena Costa, Attila A. Priplata, Olga V. Starobinets, Ary L. Goldberger, Chung-Kang Peng, Dan K. Kiely, L. Adrienne Cupples, and Lewis A. Lipsitz. "Complexity and Frailty: Multiscale Entropy of Balance Dynamics During Quiet Standing and Dual-Task: The Mobilize Boston Study." In ASME 2008 International Mechanical Engineering Congress and Exposition. ASMEDC, 2008. http://dx.doi.org/10.1115/imece2008-68973.

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Balance control during standing is attributable to the complex, nonlinear interactions of multiple postural control systems, manifested as the highly irregular displacements in center of pressure (COP) during standing. Aging and associated frailty may result in the degradation of these complex interactions and manifest as a loss of complexity in COP dynamics. Furthermore, frail individuals may not be able to adapt to a superimposed stress that challenges balance, leading to falls. To test these hypotheses, data were analyzed from the MOBILIZE Boston Study, an ongoing population-based study of community-dwelling older adults. Each participant’s frailty phenotype (not frail, pre-frail, frail) was determined using the Fried et al. 2001 definition. 551 participants (age 77.9±5.5) stood on a balance platform, with or without concurrently performing serial subtractions. Complexity of balance dynamics over multiple time scales was quantified using multiscale entropy (MSE), a more sensitive measure of physiologic health than variance. Of the participants, 39% were pre-frail and 6% were frail. Baseline MSE was lower with each successive frailty condition (p&lt;0.002). When performing the cognitive task, MSE was lowered similarly in all groups (p&lt;0.001). Frailty was associated with a loss of complexity in the dynamics of postural sway, which may be due to the degradation of integrated postural control networks that enable upright stance. Performance of a dual-task further reduced this complexity. Cognitive distractions during standing may further compromise balance control in frail individuals, which may explain their increased fall risk.
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Kree, Sirje. "SOCIOECONOMIC FACTORS OF FRAILTY." In 23rd International Academic Conference, Venice. International Institute of Social and Economic Sciences, 2016. http://dx.doi.org/10.20472/iac.2016.023.058.

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Izzo, Raffaella, Marco Canevelli, Serena Colafrancesco, Antonina Minniti, Angelica Gattamelata, Francesca Arienzo, Federica Quarata, et al. "SAT0180 EVALUATION OF FRAILTY IN SJÖGREN’S SYNDROME: CREATION OF A FRAILTY INDEX." In Annual European Congress of Rheumatology, EULAR 2019, Madrid, 12–15 June 2019. BMJ Publishing Group Ltd and European League Against Rheumatism, 2019. http://dx.doi.org/10.1136/annrheumdis-2019-eular.7726.

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Mckelvie, Mische, Michael Donnelly, Dermot O’Reilly, and Sharon Cruise. "P35 Psychological frailty and social frailty in older adults: a scoping review." In Society for Social Medicine Annual Scientific Meeting Abstracts. BMJ Publishing Group Ltd, 2021. http://dx.doi.org/10.1136/jech-2021-ssmabstracts.123.

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Pošćić, A., and G. Kreković. "The Frailty of Formal Education." In AM '17: Audio Mostly 2017. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3123514.3123534.

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OAKES, DAVID. "ON FRAILTY MODELS AND COPULAS." In Proceedings of Statistics 2001 Canada: The 4th Conference in Applied Statistics. PUBLISHED BY IMPERIAL COLLEGE PRESS AND DISTRIBUTED BY WORLD SCIENTIFIC PUBLISHING CO., 2002. http://dx.doi.org/10.1142/9781860949531_0018.

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Звіти організацій з теми "Fraility"

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Wienke, Andreas. Frailty models. Rostock: Max Planck Institute for Demographic Research, September 2003. http://dx.doi.org/10.4054/mpidr-wp-2003-032.

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Chang, Min Cheol, Yoo Jin Choo, and Sohyun Kim. Effect of Prehabilitation for Patients with Frailty Undergoing Colorectal Cancer Surgery: A Systematic Review and Meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, November 2022. http://dx.doi.org/10.37766/inplasy2022.11.0105.

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Review question / Objective: We performed a meta-analysis to assess the impact of prehabilitation before colorectal surgery on functional outcome and postoperative complications in patients with frailty. Condition being studied: Colorectal cancer is a common disease in the elderly, and over 65 years of age accounts for more than 50% of all patients with colorectal cancer. The patients with colorectal cancer surgery showed 8.7% major morbidity and mortality and 31.6% minor complications. The high complication rate of patients with colorectal surgery is related to the fact that there are many elderly patients. Frailty is common in elderly patients, and the frailty is associated with adverse perioperative outcomes. The frail patients with colorectal surgery showed worse postoperative morbidity, mortality and prolonged length of hospital stay. Although the frailty results from irresistible aging-associated decline in reserve and function across multiple physiologic systems, several attempts have been conducted to improve frailty in patients with colorectal cancer surgery and consequently improve the postoperative outcomes. Prehabilitation was one of these attempts for improving physical activity and postoperative outcomes on patients with frailty undergoing colorectal cancer surgery. So far, several studies conducted clinical trials for determining whether prehabilitation has positive effect on improving postoperative outcomes in patients with frailty undergoing colorectal surgery. However, the results of these previous studies are controversial.
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Cechinel, Clovis, and Joao Alberto Martins Rodrigues. ASSOCIATION OF DELIRIUM AND FRAGILITY IN HOSPITALIZED ELDERLY: SYSTEMATIC REVIEW. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, September 2021. http://dx.doi.org/10.37766/inplasy2021.9.0022.

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Review question / Objective: What is the relationship between delirium and frailty in hospitalized elderly people? The objective of this research is to analyze the association between frailty and delirium in hospitalized elderly people, through a systematic literature review. Condition being studied: Frailty and delirium in hospitalized aged. Information sources: A specific search strategy for the language of each database was developed using, initially, the Medical Subject Headings (MEsH) descriptor and later translated to specific descriptors (Descriptors in Health Sciences (DeCS) and Embase Subject Headings (Emtree)). The search strategy will be applied by the researchers in the MEDLINE databases through the Pubmed Portal; Scielo; VHL; EMBASE, CINAHL, Scopus and Web of Science through the CAPES Journal Portal; CENTRAL via Cochrane.
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Zhang, JIanNa, ZhiXi Liu, and DongZe Li. Exercise interventions for elderly people at risk of frailty. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, March 2021. http://dx.doi.org/10.37766/inplasy2021.3.0107.

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Li, Kemin, Rutie Yin, and Zhengyu Li. Frailty and long-term survival of ovarian cancer patients. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, September 2022. http://dx.doi.org/10.37766/inplasy2022.9.0028.

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Finkelstein, Maxim S., and Veronica Esaulova. On asymptotic failure rates in bivariate frailty competing risks models. Rostock: Max Planck Institute for Demographic Research, August 2006. http://dx.doi.org/10.4054/mpidr-wp-2006-023.

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Chen, Baoyu, Qin He, Mingting Wang, Yong Wang, Xiaoxing Lai, Hongguang Chen, and Mengqian Li. Impact of cognitive frailty and physical frailty/cognitive impairment on adverse health outcomes among community-dwelling older adults: A systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, May 2022. http://dx.doi.org/10.37766/inplasy2022.5.0064.

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Wienke, Andreas, Konstantin G. Arbeev, Isabella Locatelli, and Anatoli I. Yashin. A simulation study of different correlated frailty models and estimation strategies. Rostock: Max Planck Institute for Demographic Research, June 2003. http://dx.doi.org/10.4054/mpidr-wp-2003-018.

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Locatelli, Isabella, Paul Lichtenstein, and Anatoli I. Yashin. A Bayesian correlated frailty model applied to Swedish breast cancer data. Rostock: Max Planck Institute for Demographic Research, July 2003. http://dx.doi.org/10.4054/mpidr-wp-2003-025.

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Qu, Xi. Risk factors of cognitive frailty in older adults: a Meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, August 2021. http://dx.doi.org/10.37766/inplasy2021.8.0097.

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