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      Both pre-frailty and frailty increase healthcare utilization and adverse health outcomes in patients with type 2 diabetes mellitus

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      1 , 2 , 3 , 4 , 4 , , COhort of GEriatric Nephrology in NTUH (COGENT) study group 5
      Cardiovascular Diabetology
      BioMed Central
      Diabetes mellitus, Frail phenotype, Frailty, Hospitalization, Mortality

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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.

          Electronic supplementary material

          The online version of this article (10.1186/s12933-018-0772-2) contains supplementary material, which is available to authorized users.

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          Most cited references39

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          Measuring Frailty in Medicare Data: Development and Validation of a Claims-Based Frailty Index

          Background Frailty is a key determinant of health status and outcomes of health care interventions in older adults that is not readily measured in Medicare data. This study aimed to develop and validate a claims-based frailty index (CFI). Methods We used data from Medicare Current Beneficiary Survey 2006 (development sample: n = 5,593) and 2011 (validation sample: n = 4,424). A CFI was developed using the 2006 claims data to approximate a survey-based frailty index (SFI) calculated from the 2006 survey data as a reference standard. We compared CFI to combined comorbidity index (CCI) in the ability to predict death, disability, recurrent falls, and health care utilization in 2007. As validation, we calculated a CFI using the 2011 claims data to predict these outcomes in 2012. Results The CFI was correlated with SFI (correlation coefficient: 0.60). In the development sample, CFI was similar to CCI in predicting mortality ( C statistic: 0.77 vs. 0.78), but better than CCI for disability, mobility impairment, and recurrent falls (C statistic: 0.62–0.66 vs. 0.56–0.60). Although both indices similarly explained the variation in hospital days, CFI outperformed CCI in explaining the variation in skilled nursing facility days. Adding CFI to age, sex, and CCI improved prediction. In the validation sample, CFI and CCI performed similarly for mortality (C statistic: 0.71 vs. 0.72). Other results were comparable to those from the development sample. Conclusion A novel frailty index can measure the risk for adverse health outcomes that is not otherwise quantified using demographic characteristics and traditional comorbidity measures in Medicare data.
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            Development of a Claims-based Frailty Indicator Anchored to a Well-established Frailty Phenotype.

            Fried and colleagues described a frailty phenotype measured in the Cardiovascular Health Study (CHS). This phenotype is manifest when ≥3 of the following are present: low grip strength, low energy, slowed waking speed, low physical activity, or unintentional weight loss. We sought to approximate frailty phenotype using only administrative claims data to enable frailty to be assessed without physical performance measures.
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              Frailty and sarcopenia - newly emerging and high impact complications of diabetes.

              Diabetes increases the risk of physical dysfunction and disability. Diabetes-related complications and coexisting morbidities partially explain the deterioration in physical function. The decline in muscle mass, strength and function associated with diabetes leads to sarcopenia, frailty and eventually disability. Frailty acts as a mediator in the pathogenesis of disability in older people with diabetes and its measurement in routine daily practice is recommended. Frailty is a dynamic process which progresses from a robust condition to a pre-frail stage then frailty and eventually disability. Therefore, a multimodal intervention which includes adequate nutrition, exercise training, good glycaemic control and the use of appropriate hypoglycemic medications may help delay or prevent the progression to disability.
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                Author and article information

                Contributors
                b88401084@gmail.com
                Romanray92@gmail.com
                02-23123456 , klchien@ntu.edu.tw
                b88401084@ntu.edu.tw
                Journal
                Cardiovasc Diabetol
                Cardiovasc Diabetol
                Cardiovascular Diabetology
                BioMed Central (London )
                1475-2840
                27 September 2018
                27 September 2018
                2018
                : 17
                : 130
                Affiliations
                [1 ]ISNI 0000 0004 0572 7815, GRID grid.412094.a, Department of Medicine, , National Taiwan University Hospital BeiHu Branch, ; Taipei, Taiwan
                [2 ]ISNI 0000 0004 0572 7815, GRID grid.412094.a, Nephrology Division, Department of Internal Medicine, , National Taiwan University Hospital, ; Taipei, Taiwan
                [3 ]ISNI 0000 0004 0572 7815, GRID grid.412094.a, Geriatric and Community Medicine Research Center, , National Taiwan University Hospital BeiHu Branch, ; Taipei, Taiwan
                [4 ]ISNI 0000 0004 0546 0241, GRID grid.19188.39, Institute of Epidemiology and Preventive Medicine, College of Public Health, , National Taiwan University, ; No. 1, Sec. 4, Roosevelt Road, Taipei, 10617 Taiwan
                [5 ]ISNI 0000 0004 0572 7815, GRID grid.412094.a, National Taiwan University Hospital (NTUH), ; Taipei, Taiwan
                Article
                772
                10.1186/s12933-018-0772-2
                6158921
                30261879
                de84c6ff-d357-4e71-8be2-4d8cd131bf08
                © The Author(s) 2018

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 23 July 2018
                : 17 September 2018
                Funding
                Funded by: National Taiwan University Hospital BeiHu branch
                Funded by: FundRef http://dx.doi.org/10.13039/501100004663, Ministry of Science and Technology, Taiwan;
                Categories
                Original Investigation
                Custom metadata
                © The Author(s) 2018

                Endocrinology & Diabetes
                diabetes mellitus,frail phenotype,frailty,hospitalization,mortality
                Endocrinology & Diabetes
                diabetes mellitus, frail phenotype, frailty, hospitalization, mortality

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