Literature DB >> 30259498

Predictive validity of two frailty tools for mortality in Chinese nursing home residents: frailty index based on common laboratory tests (FI-Lab) versus FRAIL-NH.

Ming Yang1, Yan Zhuo2, Xiaoyi Hu3, Lingling Xie3.   

Abstract

BACKGROUND: Little is known about frailty in Chinese nursing home residents. AIMS: (1) To evaluate the prevalence of frailty in nursing home residents according to the FI-Lab or FRAIL-NH; and (2) to compare the predictive validity of these two tools for mortality.
METHODS: We conducted a prospective study in four nursing homes in China. Frailty was assessed using the fatigue, resistance, ambulation, illness, loss of weight, nutrition, and help with dressing questionnaire (FRAIL-NH) and frailty index based on common laboratory tests (FI-Lab), respectively. The survival status was collected via medical records or telephone interviews. Receiver-operating characteristic (ROC) curves were calculated to estimate the area under the ROC curves (AUCs) for FI-Lab and FRAIL-NH in relation to mortality. Cox proportional hazard models were applied to calculate the hazard ratios (HRs) and 95% confidence intervals (CIs) for mortality by FRAIL-NH and FI-Lab, separately.
RESULTS: We included 329 participants. The FI-Lab score was significantly and strongly associated with the FRAIL-NH score (r = 0.799, p < 0.001). Frailty was defined as the FI-Lab score ≥ 0.3 or the FRAIL-NH score ≥ 6, and the prevalence of frailty was 56.2% and 58.7%, respectively. Seventy-three participants (22.7%) died during the 1-year follow-up. The FI-Lab (AUC 0.700, 95% CI 0.647-0.750) was slightly better than the FRAIL-NH (AUC 0.676, 95% CI 0.622-0.727) for predicting mortality (p = 0.025). After adjusted for age and gender, the increment of the FI-Lab score was associated with mortality (adjusted HR per 0.01 increment in score 1.07, 95% CI 1.05-1.09), the increment of the FRAIL-NH score was also associated with mortality (adjusted HR per 1 increment in score 1.28, 95% CI 1.19-1.46).
CONCLUSION: The FI-Lab and FRAIL-NH are valuable for predicting mortality in Chinese nursing home residents.

Entities:  

Keywords:  Frailty; Mortality; Nursing homes; Screening tools

Mesh:

Year:  2018        PMID: 30259498     DOI: 10.1007/s40520-018-1041-7

Source DB:  PubMed          Journal:  Aging Clin Exp Res        ISSN: 1594-0667            Impact factor:   3.636


  9 in total

1.  Comparing Diagnostic Properties of the FRAIL-NH Scale and 4 Frailty Screening Instruments among Chinese Institutionalized Older Adults.

Authors:  H Si; Y Jin; X Qiao; X Tian; X Liu; C Wang
Journal:  J Nutr Health Aging       Date:  2020       Impact factor: 4.075

2.  Physical Frailty and Cognitive Impairment in Older Adults in United States Nursing Homes.

Authors:  Yiyang Yuan; Kate L Lapane; Jennifer Tjia; Jonggyu Baek; Shao-Hsien Liu; Christine M Ulbricht
Journal:  Dement Geriatr Cogn Disord       Date:  2021-04-22       Impact factor: 2.959

3.  A Frailty Assessment Tool to Predict In-Hospital Mortality in Patients with Acute Exacerbations of Chronic Obstructive Pulmonary Disease.

Authors:  Jin-Jin Gu; Qiang Liu; Li-Jie Zheng
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2021-04-20

4.  A practical laboratory index to predict institutionalization and mortality - an 18-year population-based follow-up study.

Authors:  Elisa Heikkilä; Marika Salminen; Anna Viljanen; Taina Katajamäki; Marja-Kaisa Koivula; Kari Pulkki; Raimo Isoaho; Sirkka-Liisa Kivelä; Matti Viitanen; Minna Löppönen; Tero Vahlberg; Laura Viikari; Kerttu Irjala
Journal:  BMC Geriatr       Date:  2021-02-25       Impact factor: 3.921

5.  The FRAIL-NH Scale: Systematic Review of the Use, Validity and Adaptations for Frailty Screening in Nursing Homes.

Authors:  S J Liau; S Lalic; R Visvanathan; L A Dowd; J S Bell
Journal:  J Nutr Health Aging       Date:  2021       Impact factor: 5.285

6.  A frailty index based on routine laboratory data predicts increased risk of mortality in Chinese community-dwelling adults aged over 55 years: a five-year prospective study.

Authors:  Chunxiu Wang; Xianghua Fang; Zhe Tang; Yang Hua; Zhongying Zhang; Xiang Gu; Beibei Liu; Xunming Ji
Journal:  BMC Geriatr       Date:  2022-08-17       Impact factor: 4.070

7.  Paracetamol dosing in hospital and on discharge for older people who are frail or have low body weight.

Authors:  Olivia Reid; Janet Ngo; Samanta Lalic; Elizabeth Su; Rohan A Elliott
Journal:  Br J Clin Pharmacol       Date:  2022-05-23       Impact factor: 3.716

8.  Complementing chronic frailty assessment at hospital admission with an electronic frailty index (FI-Laboratory) comprising routine blood test results.

Authors:  Hugh Logan Ellis; Bettina Wan; Michael Yeung; Arshad Rather; Imran Mannan; Catherine Bond; Catherine Harvey; Nadia Raja; Peter Dutey-Magni; Kenneth Rockwood; Daniel Davis; Samuel D Searle
Journal:  CMAJ       Date:  2020-01-06       Impact factor: 8.262

9.  Associations between a laboratory frailty index and adverse health outcomes across age and sex.

Authors:  Joanna M Blodgett; Olga Theou; Arnold Mitnitski; Susan E Howlett; Kenneth Rockwood
Journal:  Aging Med (Milton)       Date:  2019-03-08
  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.