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Both Pre-frailty and Frailty Increase Healthcare Utilization and Adverse Health Outcomes in Patients with Type 2 Diabetes Mellitus

Overview
Publisher Biomed Central
Date 2018 Sep 29
PMID 30261879
Citations 59
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Abstract

Background: Diabetes mellitus (DM) correlates with accelerated aging and earlier appearance of geriatric phenotypes, including frailty. However, whether pre-frailty or frailty predicts greater healthcare utilization in diabetes patients is unclear.

Methods: From the Longitudinal Cohort of Diabetes Patients in Taiwan (n = 840,000) between 2004 and 2010, we identified 560,795 patients with incident type 2 DM, categorized into patients without frailty, or with 1, 2 (pre-frail) and ≥ 3 frailty components, based on FRAIL scale (Fatigue, Resistance, Ambulation, Illness, and body weight Loss). We examined their long-term mortality, cardiovascular risk, all-cause hospitalization, and intensive care unit (ICU) admission.

Results: Among all participants (56.4 ± 13.8 year-old, 46.1% female, and 84.8% community-dwelling), 77.8% (n = 436,521), 19.2% (n = 107,757), 2.7% (n = 15,101), and 0.3% (n = 1416) patients did not have or had 1, 2 (pre-frail), and ≥ 3 frailty components (frail), respectively, with Fatigue and Illness being the most common components. After 3.14 years of follow-up, 7.8% patients died, whereas 36.6% and 9.1% experienced hospitalization and ICU stay, respectively. Cox proportional hazard modeling discovered that patients with 1, 2 (pre-frail), and ≥ 3 frailty components (frail) had an increased risk of mortality (for 1, 2, and ≥ 3 components, hazard ratio [HR] 1.05, 1.13, and 1.25; 95% confidence interval [CI] 1.02-1.07, 1.08-1.17, and 1.15-1.36, respectively), cardiovascular events (HR 1.05, 1.15, and 1.13; 95% CI 1.02-1.07, 1.1-1.2, and 1.01-1.25, respectively), hospitalization (HR 1.06, 1.16, and 1.25; 95% CI 1.05-1.07, 1.14-1.19, and 1.18-1.33, respectively), and ICU admission (HR 1.05, 1.13, and 1.17; 95% CI 1.03-1.07, 1.08-1.14, and 1.06-1.28, respectively) compared to non-frail ones. Approximately 6-7% risk elevation in mortality and healthcare utilization was noted for every frailty component increase.

Conclusion: Pre-frailty and frailty increased the risk of mortality and cardiovascular events, and entailed greater healthcare utilization in patients with type 2 DM.

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References
1.
Wen Y, Chen L, Hsiao F . Predicting mortality and hospitalization of older adults by the multimorbidity frailty index. PLoS One. 2017; 12(11):e0187825. PMC: 5690585. DOI: 10.1371/journal.pone.0187825. View

2.
Goedendorp M, Tack C, Steggink E, Bloot L, Bazelmans E, Knoop H . Chronic fatigue in type 1 diabetes: highly prevalent but not explained by hyperglycemia or glucose variability. Diabetes Care. 2013; 37(1):73-80. DOI: 10.2337/dc13-0515. View

3.
Hajek A, Bock J, Saum K, Matschinger H, Brenner H, Holleczek B . Frailty and healthcare costs-longitudinal results of a prospective cohort study. Age Ageing. 2017; 47(2):233-241. DOI: 10.1093/ageing/afx157. View

4.
Noh M, Kwon H, Jung C, Kwon S, Kim M, Lee W . Impact of diabetes duration and degree of carotid artery stenosis on major adverse cardiovascular events: a single-center, retrospective, observational cohort study. Cardiovasc Diabetol. 2017; 16(1):74. PMC: 5461631. DOI: 10.1186/s12933-017-0556-0. View

5.
Comans T, Peel N, Hubbard R, Mulligan A, Gray L, Scuffham P . The increase in healthcare costs associated with frailty in older people discharged to a post-acute transition care program. Age Ageing. 2016; 45(2):317-20. DOI: 10.1093/ageing/afv196. View