ライフサイエンスコーパス: frailty

1 We built a tool to assess ocular surface frailty.

2 y behaviors over midlife with future risk of frailty.

3 ble measure of homeostatic dysregulation and frailty.

4 the prevalence of underlying conditions and frailty.

5 5.1% to 11.1%) had the highest prevalence of frailty.

6 ons from the enhanced model at all levels of frailty.

7 deviation, 5.9), 445 participants developed frailty.

8 nd ASBs was associated with a higher risk of frailty.

9 iation between healthy behaviors and risk of frailty.

10 significantly increased in individuals with frailty.

11 ween fruit and vegetable intake and incident frailty.

12 etabolism as a potential root of age-related frailty.

13 ciety of Transplantation (AST) conference on frailty.

14 and vegetables may ameliorate aging-related frailty.

15 ce intake showed an inverse association with frailty.

16 independently associated with lower risk of frailty.

17 e, cancer, metabolic disease, sarcopenia and frailty.

18 blet or triplet regimen should be adapted to frailty.

19 ons of costs for patients at all 4 levels of frailty.

20 18 different tools were utilized to measure frailty.

21 al and health-system interventions to manage frailty.

22 itamin E pathways play a role in the risk of frailty.

23 ning, case identification, and management of frailty.

24 e heterogeneity in the tools used to measure frailty.

25 tion, or lung surgery had increased risk for frailty.

26 ow-up we identified 11,564 incident cases of frailty.

27 se networks have a common interconnection to frailty.

28 ge-related phenotypes, such as mortality and frailty.

29 adults to identify circulating biomarkers of frailty.

30 w-up, we identified 11,559 incident cases of frailty.

31 n Co-Morbidity Index was a fourth measure of frailty.

32 une system senescence may also contribute to frailty.

33 mortality based on variables constitutive of frailty.

34 ures were associated with increased risk for frailty.

35 l costs of childbearing influence later life frailty.

36 Presence of >= 3 denotes frailty, 1-2 prefrailty, and 0 robust.

37 Among programs that measure frailty, 53% reported being less likely to list frail pa

38 g at least 1 task had 11.2 times the odds of frailty (95% confidence interval [CI], 5.2-23.9), 2.6 ti

39 'Frailty', a multidimensional measure of health status, m

40 Given the potential utility of frailty, a clinical phenotype of decreased physiologic r

41 Frailty, a construct developed in geriatrics, is a state

42 lant cognitive trajectories by pretransplant frailty, accounting for nonlinear trajectories.

43 intakes were associated with a lower risk of frailty (adjusted HR comparing 7+ servings/d compared wi

44 2018, to discuss the latest developments in frailty, adopt a standardized approach to assessment, an

45 n of SSBs was associated with higher risk of frailty after adjustment for diet quality, body mass ind

46 We studied the association between frailty, age, interaction between the 2, and waitlist mo

47 r cognitive impairment, 37 (13%) of whom had frailty alone.

48 Of these, 53 (14%) had frailty alone.

49 The presence of frailty among older ICU patients with suspected infectio

50 The overall prevalence of frailty among survivors was 3 times higher compared with

51 -expert-defined brain imaging signs of brain frailty and acute ischaemia contribute to the prognosis

52 lifespan to generate the AFRAID (Analysis of Frailty and Death) clock, which accurately predicts life

53 Frailty and DLCO % predicted were independent predictors

54 No interactions were observed between frailty and HIV status in all analyses.

55 The claims-based index is a proxy for frailty and is likely less accurate than an in-person ex

56 tatistically significant association between frailty and long-term mortality after cardiac procedures

57 hat gender shapes up the association between frailty and long-term survival rates.

58 cal parameters is associated with aspects of frailty and may reflect impaired physiological regulatio

59 wn for traditional open heart surgery due to frailty and other existing co-morbidities.

60 arotomy and to explore relationships between frailty and postoperative morbidity and mortality.

61 herapy) to determine the association between frailty and posttreatment infections.

62 yle are needed to decrease the prevalence of frailty and preserve function in this at-risk population

63 e aimed to determine the association between frailty and risk of infections after immunosuppression f

64 We also evaluated the association between frailty and the quick Sequential Organ Failure Assessmen

65 ate direct and indirect associations between frailty and treatment exposures, sociodemographic charac

66 alluvial diagrams to describe the course of frailty and Venn diagrams to describe the overlap of fra

67 iologic reserve, so the relationship between frailty and waitlist mortality may vary by candidate age

68 score was associated with the prevalence of frailty and was an independent predictor for frailty (od

69 e reference standard frailty measure (i.e., "frailty") and health outcomes.

70 were falls, health-related quality of life, frailty, and a parallel economic evaluation.

71 for understanding the origins of senescence, frailty, and morbidity.

72 d functional exercise capacity due to aging, frailty, and muscle wasting poses major unmet clinical n

73 uding renal dysfunction, muscle function and frailty, and myocardial steatosis.

74 e CMS-HCC model does not include measures of frailty, and prior research shows that it systematically

75 innovative approach to treating sarcopenia, frailty, and secondary muscle wasting.

76 87, 95% confidence interval [CI]:1.86-4.43), frailty (aOR = 1.85, 95% CI:1.22-2.80), comorbidity (Cha

77 nt by cumulative deficits, and both types of frailty are common in lung transplant candidates.

78 Older people with frailty are significantly more likely to die or experien

79 We examined frailty as a predictor of recovery in older adults hospi

80 e relationship between parity and later life frailty (as measured by the Frailty Index) in a sample o

81 Frailty, as measured by the Liver Frailty Index (LFI), i

82 HR): 2.16, 95% CI: 1.51-3.09, P < 0.001] and frailty (aSHR: 1.92, 95% CI: 1.38-2.67, P < 0.001) were

83 on management and geriatric scores including frailty assessed by Clinical Frailty Scale (CFS) were do

84 Developing tools for frailty assessment and interventions holds promise for i

85 There was heterogeneity in the frailty assessment method; 18 different tools were utili

86 refore, there is a need to develop objective frailty assessment tools for risk stratification in pati

87 Well-validated frailty assessment tools should be preferred clinically,

88 ion from May 2013 to December 2017 underwent frailty assessment using the modified Fried's frailty ph

89 prediction tools such as exercise testing or frailty assessment.

90 le; age, 59 +/- 7 y; range, 30-70) underwent frailty assessment.

91 Clinicians performing frailty assessments before surgery should consider the C

92 Of the 202 programs, 38% performed frailty assessments in all candidates while 23% performe

93 Of those with frailty at 3- or 12-month follow-up, 61% were not frail

94 n facility, particularly those with physical frailty at baseline, although their functional status wa

95 se, smoking, sleep, cerebrovascular disease, frailty, atrial fibrillation and vitamin C).

96 ne proposes taking into account the function/frailty/autonomy status of older people.

97 elopment of physical function impairment and frailty; both associated with increased risk of falls, h

98 Frailty, but not sarcopenia, is associated with worse ou

99 idity of the RAI for evaluating preoperative frailty, but they have not demonstrated the feasibility

100 s) as an approach to reducing confounding by frailty by excluding frail older adults who would not in

101 n was used to assess factors associated with frailty (by the Liver Frailty Index per 0.1 unit change)

102 ciated with physical function impairment and frailty can help target interventions.

103 In total, 12,434 (15.9%) incident frailty cases were accrued during follow-up.

104 y is that, due to self-reporting of diet and frailty, certain misclassification bias cannot be ruled

105 0-day mortality was directly associated with frailty: CFS 5 adjusted odds ratio (aOR) 3.18 [95% confi

106 Frailty (Clinical Frailty Scale scores >= 5) was present

107 tients, or their proxy, rated their level of frailty (Clinical Frailty Scale), fatigue (Checklist Ind

108 er survivors reported a higher prevalence of frailty compared with siblings.

109 R patients had more comorbidities and higher frailty compared with the other 2 groups.

110 during the follow-up due to missing data on frailty components.

111 There are several frailty composite measures, but none have been evaluated

112 Our data support the applicability of the frailty concept to the whole LT population and can guide

113 associated with lower risk of the individual frailty criteria fatigue, reduced resistance, reduced ae

114 Their benefit accumulates so that risk of frailty decreases with greater number of healthy behavio

115 s, balance) was measured at evaluation, with frailty defined as liver frailty index >= 4.5.

116 g the Johns Hopkins Adjusted Clinical Groups frailty-defining diagnoses indicator.

117 11,001 patients with IBD, using a validated frailty definition based on International Classification

118 be confirmed in further studies using other frailty definitions.

119 e association between waitlist mortality and frailty did not vary by candidate age (aSHR of frailty f

120 There were 376 patients with frailty, disability, or cognitive impairment at 3-month

121 At 12 months, 276 patients had frailty, disability, or cognitive impairment, 37 (13%) o

122 Frailty encompasses 5 domains; weight loss, low physical

123 cal activity, shrinking, and exhaustion, and frailty evaluation is an important tool for evaluation o

124 1.90, 95% CI: 1.28-2.80, P = 0.001; aSHR of frailty for older patients: 1.98, 95% CI: 1.07-3.67, P =

125 ailty did not vary by candidate age (aSHR of frailty for younger patients: 1.90, 95% CI: 1.28-2.80, P

126 was inversely proportional to age, such that frailty had a stronger adverse impact on younger patient

127 Frailty has been assessed by multiple methods.

128 Frailty has been associated with outcomes of patients wi

129 logy/liver transplantation, investigation of frailty has largely focused on physical frailty, which s

130 0 was associated with lower risk of incident frailty: hazard ratio (HR) after adjustment for other he

131 The findings and consensus of the Frailty Heart Workgroup (American Society of Transplanta

132 n may have contributed to the development of frailty in both sexes.

133 opment of prehabilitation programs targeting frailty in LT patients of all ages.

134 ) and remained significantly associated with frailty in multivariable adjustment (coef = -0.13, 95% C

135 We compared the prevalence of frailty in older (>=65 yr) and younger (18-64 yr) candid

136 is study aimed to document the prevalence of frailty in older adults undergoing emergency laparotomy

137 scores, was associated with reduced risk of frailty in older women.

138 ween fruit and vegetable intake and incident frailty in older women.

139 We observed a high prevalence of frailty in patients undergoing cardiac surgery, and a st

140 A consensus conference on frailty in solid organ transplantation took place on Feb

141 -987) recently proposed methods for modeling frailty in studies where a reference standard frailty me

142 of these taxa was associated with increased frailty in subjects from the ELDERMET cohort.

143 e intake was associated with a lower risk of frailty in this cohort of US women aged >=60 y.

144 eview and meta-analysis of studies reporting frailty in vascular surgery patients (PROSPERO registrat

145 Clinical frailty independently predicts early mortality after isc

146 at evaluation, with frailty defined as liver frailty index >= 4.5.

147 ience was strongly associated with the Liver Frailty Index (coef = -0.13 per point increase; 95% conf

148 Rockwood's 57-item frailty index (FI) was mapped onto 14,568 ICD9 diagnosis

149 ty was measured using a previously validated frailty index (FI).

150 methylation age estimators (GrimAge) and the frailty index (FI).

151 The liver frailty index (grip strength, chair stands, balance) was

152 ty using 3 simple tests and calculated Liver Frailty Index (LFI) scores for patients at multiple ambu

153 Frailty, as measured by the Liver Frailty Index (LFI), is associated with liver transplant

154 This became the modified frailty index (mFI) used.

155 med this study to build a new Ocular Surface Frailty Index (OSFI) and assess its predictive value for

156 The CMS-HCC model with the frailty index addition is an improvement over current Me

157 On average, the model with the frailty index addition resulted in more accurate predict

158 The frailty index addition to the CMS-HCC model predicted on

159 The association between the frailty index and annualized Medicare costs was examined

160 ent physical frailty testing using the Liver Frailty Index and resilience testing using the Connor-Da

161 SRC and frailty index did not adequately predict complications a

162 Similarly, the frailty index had c-index of 0.513 for discriminating an

163 actors associated with frailty (by the Liver Frailty Index per 0.1 unit change).

164 The Liver Frailty Index was categorized as robust, prefrail-robust

165 y and later life frailty (as measured by the Frailty Index) in a sample of 3,534 adults aged 65 years

166 as classified using a validated claims-based frailty index.

167 standard CMS-HCC model with and without the frailty index.

168 alculator (SRC) and a 5-factor NSQIP-derived frailty index.

169 Frailty Indices (FIs) in mice are composite measures of

170 The presently studied frailty indices are ineffective predictors of 30-day mor

171 or chronological age to generate the FRIGHT (Frailty Inferred Geriatric Health Timeline) clock, a str

172 tcomes, and comparisons between preoperative frailty instruments are poorly described.

173 r findings highlight the need to incorporate frailty into the preoperative risk stratification and in

174 As frailty involves a cumulative decline in multiple physio

175 Frailty is a clinically recognized syndrome of decreased

176 Frailty is a complex age-related clinical condition char

177 Frailty is a complex and prevalent clinical syndrome.

178 Frailty is a multidimensional construct that represents

179 Our aim was to assess whether frailty is a predictor of mortality in patients with ILD

180 Frailty is a strong predictor of both mortality and inci

181 r odds of recovery, and persistent worsening frailty is an important adverse outcome of acute illness

182 Frailty is associated with death or delisting before tra

183 Frailty is associated with increased risk of various hea

184 Increasing frailty is associated with lower odds of recovery, and p

185 Frailty is associated with mortality and morbidity in th

186 Frailty is common among patients referred for lung trans

187 Frailty is common among survivors of critical illness.

188 Frailty is defined as a clinically recognizable state of

189 Frailty is increasingly recognized as a distinct biologi

190 It is unclear whether variation in how frailty is measured is important and would be stable ove

191 However, the effect of diet quality on frailty is mostly unknown.

192 In the majority, frailty is newly acquired.

193 Among US KT programs, frailty is recognized as a clinically relevant construct

194 to describe the prevalence of newly acquired frailty, its clinical course, and the co-occurrence of f

195 midlife, are associated with a lower risk of frailty later in life.

196 harmacy, cognitive decline and delirium, and frailty) may be inadvertently exacerbated and destabiliz

197 hy behaviors by 1997 were at a lower risk of frailty (mean follow-up = 16 years) compared with those

198 associations between the reference standard frailty measure (i.e., "frailty") and health outcomes.

199 railty in studies where a reference standard frailty measure is not directly observed, but Medicare c

200 similar: In a validation data set, model the frailty measure versus claims variables; in the primary

201 se imputed values in place of the unobserved frailty measure.

202 quality (NOS >= 7) and used a well-validated frailty measure.

203 tand the perceptions and practices regarding frailty measurement in US KT programs.

204 idacy (99%) and endorsed a need to develop a frailty measurement specific to KT (92%).

205 Frailty measurement was more common during candidacy eva

206 The groups use competing frailty measures, but the premise is similar: In a valid

207 tematic assessment and strategies to improve frailty might reduce infection risk in patients with IBD

208 Frailty model detected significant heterogeneity associa

209 mes were established using multivariable Cox frailty models and using PAFs for the entire cohort, and

210 Gamma frailty models incorporated the effect of heterogeneity

211 fruits and vegetables and the development of frailty, more data are needed to confirm our results.

212 Therefore, the determinants of frailty need to be identified to ensure older adults liv

213 frailty and was an independent predictor for frailty (odds ratio per SD: 2.31, P = 0.01) using a mult

214 Physical frailty, often defined as slowness, weakness, low physic

215 The impact of frailty on all-cause mortality during 6 years of follow-

216 Age, but not sex, modified the effect of frailty on mortality; such that the rate of death decrea

217 ncreasing evidence shows negative impacts of frailty on outcomes in surgical patients, but little inv

218 ession and hypertension were associated with frailty or prefrailty.

219 ong older adults, persons with more advanced frailty, or following UTIs.

220 potential confounders, the RRs (95% CIs) of frailty per 1-SD increase in the AMED, DASH, and AHEI-20

221 The four methods of calculating frailty performed similarly and were stable.

222 Fried's frailty phenotype was assessed in clinical examinations

223 railty assessment using the modified Fried's frailty phenotype.

224 prove overall outcomes, and help distinguish frailty phenotypes amenable to intervention.

225 We identified factors before (e.g., frailty, preexisting functional impairments), during (e.

226 ors are thought to be a potential target for frailty prevention, but the evidence from previous studi

227 y behaviors in midlife are a good target for frailty prevention.

228 minimize retest learning or controlling for frailty proximate to death.

229 reduction and differences in blood pressure, frailty, quality of life, adverse effects, and serious a

230 at specific life phases to induce organismal frailty, rather than contributing to a constant aging ra

231 ults were the most frail and that the parity-frailty relationship was similar for both sexes.

232 In fully adjusted analyses, frailty remained strongly associated with death (hazard

233 ngle-center studies, and the epidemiology of frailty remains to be fully elucidated in a real-world s

234 g Index-2010 (AHEI-2010) in association with frailty risk among older women.

235 , ASBs, and fruit juices in association with frailty risk among older women.

236 ange juice was associated with lower risk of frailty [RR >=1 serving/day versus no consumption: 0.82

237 ASBs were also associated with frailty [RR >=2 serving/day versus no consumption: 1.28

238 33.6%) were categorized as "frail" (Clinical Frailty Scale >= 5).

239 cores including frailty assessed by Clinical Frailty Scale (CFS) were documented.

240 We measured frailty with the Clinical Frailty Scale at baseline (i.e., study enrollment) and a

241 Frailty (Clinical Frailty Scale scores >= 5) was present in 135 of 567 (24

242 roxy, rated their level of frailty (Clinical Frailty Scale), fatigue (Checklist Individual Strength-8

243 uncontrolled medical comorbidities or a high frailty score (if aged >=65 years).

244 Implementation of the RAI as a frailty screening instrument began as a quality improvem

245 The RAI frailty screening tool can be efficiently implemented wi

246 health systems should consider implementing frailty screening within surgical clinics.

247 tice, we should do what works, starting with frailty screening, case identification, and management o

248 improved discrimination and calibration as a frailty-screening tool in surgical patients.

249 est that effective interventions to mitigate frailty should include strategies to build resilience in

250 Transition to a worse frailty state occurred in 242 of 530 of patients (46%) b

251 s variables; in the primary data set, impute frailty status from claims variables, and conduct infere

252 We determined frailty status in individuals >=65 years having elective

253 Patient frailty status was classified using a validated claims-b

254 The frailty syndrome is associated with higher risk of disab

255 cirrhosis who underwent outpatient physical frailty testing using the Liver Frailty Index and resili

256 Older candidates experienced higher rates of frailty than younger candidates.

257 Studies to understand outcomes of frailty that develops as the result of a critical illnes

258 Little is known about frailty that develops following critical illness.

259 The CFS identified 297 (42.3%) with frailty, the mFI 257 (36.6%); 72 (11.1%) died or experie

260 Respondents considered frailty to be a useful concept in evaluating candidacy (

261 evention and treatment of multimorbidity and frailty, to achieve a good health-related quality of lif

262 s study provided some evidence for a 'parity-frailty trade-off', there was little support for our hyp

263 models were used to test whether patterns of frailty transitions were associated with adverse post-KT

264 ion to balance age, sex, FEV(1) % predicted, frailty, transport availability, and previous PR experie

265 We measured frailty using 3 simple tests and calculated Liver Frailt

266 Efforts to identify optimal measurement of frailty using either an existing or a novel tool and sub

267 When frailty was added to the model for the relationship betw

268 Frailty was also associated with higher likelihood of di

269 The occurrence of frailty was assessed every 4 y.

270 The occurrence of frailty was assessed every 4 years from 1992 to 2014.

271 Frailty was assessed using the Johns Hopkins Adjusted Cl

272 Frailty was associated with 30-day mortality [adjusted O

273 Frailty was associated with anemia, hypoalbuminemia, low

274 Frailty was associated with greater risk of sepsis and l

275 Frailty was associated with increased age [MD 4.05 years

276 Frailty was associated with increased risk of in-hospita

277 Frailty was associated with infections after immunosuppr

278 Frailty was associated with lower odds of recovery in al

279 However, regardless of age, frailty was associated with nearly 2-fold increased risk

280 Frailty was defined as >= 3 of the following: low lean m

281 Frailty was defined as a positive response to >=3 of the

282 Frailty was defined as having >=3 of the following 5 cri

283 Frailty was defined as having >=3 of the following 5 cri

284 Frailty was defined as having at least 3 of the followin

285 Frailty was independent of age, gender, measures of pulm

286 Frailty was measured using a previously validated frailt

287 Frailty was significantly associated with the primary ou

288 The relationship between the PC1 score and frailty was subsequently examined in a subset of the sub

289 Frailty was the only significant predictor of death or n

290 Age, gender, and frailty were evaluated as association modifiers.

291 n of frailty has largely focused on physical frailty, which subsumes the concepts of functional perfo

292 d to assess the independent relationships of frailty with both outcomes, adjusting for HIV infection

293 ts clinical course, and the co-occurrence of frailty with disability and cognitive impairment in surv

294 and Venn diagrams to describe the overlap of frailty with disability in activities of daily living an

295 We measured the adjusted association of frailty with outcomes using regression analysis and comp

296 Associations of frailty with patient factors were investigated by differ

297 The association of frailty with patient-reported outcomes, and comparisons

298 We measured frailty with the Clinical Frailty Scale at baseline (i.e

299 ehaviors was associated with reduced risk of frailty, with the HR for each additional healthy behavio

300 Roughly one in seven had frailty without co-occurring disability or cognitive imp