Global Incidence of Frailty and Prefrailty Among Community-Dwelling Older Adults

Ofori‐Asenso, Richard; Chin, Ken Lee; Mazidi, Mohsen; Zomer, Ella; Ilomäki, Jenni; Zullo, Andrew R.; Gasevic, Danijela; Ademi, Zanfina; Korhonen, Maarit Jaana; LoGiudice, Dina; Bell, John

doi:10.1001/jamanetworkopen.2019.8398

Cited by 367 publications

(292 citation statements)

References 117 publications

(158 reference statements)

Supporting

Mentioning

266

Contrasting

Unclassified

Order By: Relevance

“…Frailty is difficult to diagnose, particularly within intensive care settings, due to its coexistence with other agerelated conditions and because of the lack of a universally accepted clinical definition [5]. Sarcopenia, or age-related loss of skeletal muscle and muscle strength, is a key physical component of frailty.…”

Section: Introductionmentioning

confidence: 99%

Psoas Muscle Area Measured with Computed Tomography at Admission to Intensive Care Unit: Prediction of In-Hospital Mortality in Patients with Pulmonary Embolism

Akkoç

Toptaş

Yalcin

et al. 2020

BioMed Research International

View full text Add to dashboard Cite

Aim. Sarcopenia, a core component of physical frailty, is an independent risk factor for suboptimal health outcomes in hospitalized patients, especially in the intensive care patients. Psoas muscle areas can be assessed to identify sarcopenia. The aim of this study was to determine the prognostic value of psoas muscle area measured with CT for the prediction of in-hospital mortality in patients with pulmonary embolism at admission to the intensive care unit. Methods. Patients with an admission abdominal computed tomography scan and requiring intensive care unit (ICU) stay were reviewed. Selected clinical data of patients admitted to intensive care unit for the management of pulmonary embolism were collected. Using CT scan images at the level of L3 vertebra, the psoas muscle area value was obtained by dividing the sum of the right and left psoas muscle areas into the body surface area. Results. In-hospital mortality rate was 22.5% in 89 patients. The pulmonary embolism patients with in-hospital mortality had higher PESI and lower value of psoas muscle area, in addition to the lower systolic blood pressure and arterial oxygen saturation at admission. The increase in the value of psoas muscle area is associated with a decrease in the rate of in-hospital mortality. In patients with in-hospital mortality related to pulmonary embolism, the higher PESI and the lower value of psoas muscle area were considered in accordance with the outcome of patients. Conclusions. For the prediction of in-hospital mortality risk in patients with pulmonary embolism managed in intensive care unit, the psoas muscle area value has a merit to be used among the routine diagnostic procedures after further studies conducted with different severity of pulmonary embolism.

show abstract

Section: Introductionmentioning

confidence: 99%

Psoas Muscle Area Measured with Computed Tomography at Admission to Intensive Care Unit: Prediction of In-Hospital Mortality in Patients with Pulmonary Embolism

Akkoç

Toptaş

Yalcin

et al. 2020

BioMed Research International

View full text Add to dashboard Cite

show abstract

“…Frailty is a clinical status and a multidimensional syndrome characterized by the loss of physiologic and cognitive reserves. 1,2 Although the assessment of frailty is challenging, [3][4][5] there are two major approaches to its measurement: the phenotypic frailty model and the frailty index of de cit accumulation. 6 The phenotypic frailty model focuses predominantly on physical symptoms, such as weight loss, exhaustion, weakness, slowness, and reduced physical activity.…”

Section: Introductionmentioning

confidence: 99%

Characteristics and Outcomes of Frail Patients with Suspected Infection in Intensive Care Units: A Descriptive Analysis From A Multicenter Cohort Study

Komori

Abe²,

Ogura³

et al. 2020

Preprint

View full text Add to dashboard Cite

Background: Frailty is associated with morbidity and mortality in patients in intensive care units (ICUs). However, the characteristics of frail patients with suspected infection, including sepsis, remain unclear. We aimed to investigate the characteristics and outcomes of frail patients with suspected infection in ICUs. Methods: This is a secondary analysis of a multicenter cohort study conducted by 22 ICUs in Japan. Adult patients (≥16 years) with newly suspected infection from December 2017 to May 2018 were included. We compared baseline patient characteristics and outcomes between three frailty groups based on the Clinical Frailty Scale (CFS) score: fit (score 1–3), vulnerable (score 4), and frail (score 5–9). We conducted subgroup analysis of patients with sepsis defined based on Sepsis-3 criteria. We also produced Kaplan–Meier survival curves for 90-day survival.Results: We enrolled 650 patients with suspected infection, including 599 (92.2%) patients with sepsis. Patients with a median rating of 3 (3–5) on the CFS were included: 337 (51.8%) were fit, 109 (16.8%) were vulnerable, and 204 were (31.4%) frail. Comorbidities were more common in frail and vulnerable patients than in fit patients. The Sequential Organ Failure Assessment scores for fit, vulnerable, and frail patients were 7 (4–10), 8 (5–11), and 7 (5–10), respectively (p = 0.59). The patients' median body temperatures were as follows: fit 37.5 (36.5–38.5)℃; vulnerable 37.5 (36.4–38.6)℃; and frail 37.0 (36.3–38.1)℃ (p < 0.01). C-reactive protein levels of fit, vulnerable, and frail patients were 13.6 (4.6–24.5), 12.1 (3.9–24.9), 10.5 (3.0–21.0) mg/dL, respectively (p < 0.01). In-hospital mortality did not statistically differ according to frailty (p = 0.19). Kaplan–Meier survival curves showed little difference in the mortality rate during the acute phase. However, more vulnerable and frail patients died after the acute phase than fit patients; this difference was not statistically significant (p = 0.25). Compared with fit or vulnerable patients, fewer frail patients were discharged.Conclusion: Frail and vulnerable patients with suspected infection, including sepsis, tend to have poor disease outcomes after the acute phase of infection.

show abstract

“…Women tend to have a higher incidence of frailty than men [48,49], and it was suggested that this might be attributable to both biological and socioeconomic factors [50]. Studies have shown that loneliness is strongly associated with adverse health conditions in men and women [51,52].…”

Section: Introductionmentioning

confidence: 99%

Loneliness as a risk factor for frailty transition among older Chinese people

Sha

Chen

2020

Preprint

View full text Add to dashboard Cite

Background: Previous literature has reported that loneliness is a strong predictor of frailty risk. However, less is known about the role of loneliness in frailty transition types. This study aimed to examine whether and how loneliness are related to frailty transition among older Chinese people.Methods: Our study used participants (aged ≥60 years) from 2008/2009, 2011/2012 and 2014 waves of the Chinese Longitudinal Healthy Longevity Survey (CLHLS). Loneliness was assessed by a single question asking how often the respondent feels lonely. The FRAIL Scale was created to measure physical frailty for our study, and frailty was also assessed by a broader definition of the frailty index. Frailty transition as an outcome variable has been designed as two types according to the measurement of frailty.Results: Greater loneliness at baseline reduced the possibility of remaining in a robust or prefrail physical frailty state after 3 years (OR=0.78, 95%CI: 0.68–0.91, p<0.01). Greater loneliness was associated with an increased risk of worsening physical frailty over time: compared with those who had never felt lonely, the odds ratios for people who often felt lonely were 1.19 (95%CI: 1.01–1.41, p<0.05) after 3 years and 1.34 (95%CI: 1.08–1.66, p<0.01) after 6 years. The association between loneliness and change in the frailty index differed in the survey periods: loneliness at baseline was found to increase the possibility of participants remaining in frailty (seldom loneliness: OR= 1.78, 95%CI: 1.25–2.55, p<0.01; often loneliness: OR= 1.74, 95%CI: 1.21–2.50, p<0.01) after 6 years, but no significance was shown in the 3-year follow up. Additionally, loneliness at baselines was significantly associated with frailty transition at follow up among the male participants. However, a similar association was not observed among the female participants.Conclusion: Older people with a high level of loneliness tend to be frail in the future, and greater loneliness is related to an increased risk of worsening frailty and remaining frail. Male elderly with a high level of loneliness were more likely to have a worse frailty transition than female elderly in China.

show abstract

Global Incidence of Frailty and Prefrailty Among Community-Dwelling Older Adults

Cited by 367 publications

References 117 publications

Psoas Muscle Area Measured with Computed Tomography at Admission to Intensive Care Unit: Prediction of In-Hospital Mortality in Patients with Pulmonary Embolism

Psoas Muscle Area Measured with Computed Tomography at Admission to Intensive Care Unit: Prediction of In-Hospital Mortality in Patients with Pulmonary Embolism

Characteristics and Outcomes of Frail Patients with Suspected Infection in Intensive Care Units: A Descriptive Analysis From A Multicenter Cohort Study

Loneliness as a risk factor for frailty transition among older Chinese people

Contact Info

Product

Resources

About