Skip to main content
Top
Published in: Cardiovascular Diabetology 1/2018

Open Access 01-12-2018 | Original investigation

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

Authors: Chia-Ter Chao, Jui Wang, Kuo-Liong Chien, COhort of GEriatric Nephrology in NTUH (COGENT) study group

Published in: Cardiovascular Diabetology | Issue 1/2018

Login to get access

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.
Appendix
Available only for authorised users
Literature
1.
go back to reference Fried LP, Tangen CM, Walston J, et al. Frailty in older adults: evidence for a phenotype. J Gerontol Biol Sci Med Sci. 2001;56(3):M146–57.CrossRef Fried LP, Tangen CM, Walston J, et al. Frailty in older adults: evidence for a phenotype. J Gerontol Biol Sci Med Sci. 2001;56(3):M146–57.CrossRef
2.
go back to reference Rockwood K, Stadnyk K, MacKnight C, McDowell I, Hébert R, Hogan DB. A brief clinical instrument to classify frailty in elderly people. Lancet. 1999;353(9148):205–6.CrossRef Rockwood K, Stadnyk K, MacKnight C, McDowell I, Hébert R, Hogan DB. A brief clinical instrument to classify frailty in elderly people. Lancet. 1999;353(9148):205–6.CrossRef
3.
go back to reference Papachristou E, Wannamethee SG, Lennon LT, et al. Ability of self-reported frailty components to predict incident disability, falls, and all-cause mortality: results from a population-based study of older British men. J Am Med Dir Assoc. 2017;18(2):152–7.CrossRef Papachristou E, Wannamethee SG, Lennon LT, et al. Ability of self-reported frailty components to predict incident disability, falls, and all-cause mortality: results from a population-based study of older British men. J Am Med Dir Assoc. 2017;18(2):152–7.CrossRef
4.
go back to reference Herr M, Arvieu JJ, Robine JM, Ankri J. Health, frailty and disability after ninety: results of an observational study in France. Arch Gerontol Geriatr. 2016;66:166–75.CrossRef Herr M, Arvieu JJ, Robine JM, Ankri J. Health, frailty and disability after ninety: results of an observational study in France. Arch Gerontol Geriatr. 2016;66:166–75.CrossRef
5.
go back to reference Sergi G, Veronese N, Fontana L, et al. Pre-frailty and risk of cardiovascular disease in elderly men and women: The Pro.V.A. Study. J Am Coll Cardiol. 2015;65(10):976–83.CrossRef Sergi G, Veronese N, Fontana L, et al. Pre-frailty and risk of cardiovascular disease in elderly men and women: The Pro.V.A. Study. J Am Coll Cardiol. 2015;65(10):976–83.CrossRef
6.
go back to reference Yu R, Morley JE, Kwok T, Leung J, Cheung O, Woo J. The effects of combinations of cognitive impairment and pre-frailty on adverse outcomes from a prospective community-based cohort study of older Chinese people. Front Med. 2018;5:50.CrossRef Yu R, Morley JE, Kwok T, Leung J, Cheung O, Woo J. The effects of combinations of cognitive impairment and pre-frailty on adverse outcomes from a prospective community-based cohort study of older Chinese people. Front Med. 2018;5:50.CrossRef
7.
go back to reference Serra-Prat M, Sist X, Domenich R, et al. Effectiveness of an intervention to prevent frailty in pre-frail community-dwelling older people consulting in primary care: a randomised controlled trial. Age Ageing. 2017;46(3):401–7.PubMed Serra-Prat M, Sist X, Domenich R, et al. Effectiveness of an intervention to prevent frailty in pre-frail community-dwelling older people consulting in primary care: a randomised controlled trial. Age Ageing. 2017;46(3):401–7.PubMed
8.
go back to reference de Miguel-Yanes JM, Jimenez-Garcia R, Hernandez-Barrera V, Mendez-Bailon M, de Miguel-Diez J, Lopez-de-Andres A. Impact of type 2 diabetes mellitus on in-hospital-mortality after major cardiovascular events in Spain (2002–2014). Cardiovasc Diabetol. 2017;16(1):126.CrossRef de Miguel-Yanes JM, Jimenez-Garcia R, Hernandez-Barrera V, Mendez-Bailon M, de Miguel-Diez J, Lopez-de-Andres A. Impact of type 2 diabetes mellitus on in-hospital-mortality after major cardiovascular events in Spain (2002–2014). Cardiovasc Diabetol. 2017;16(1):126.CrossRef
9.
go back to reference Jiang YD, Chang CH, Tai TY, Chen JF, Chuang LM. Incidence and prevalence rates of diabetes mellitus in Taiwan: analysis of the 2000–2009 nationwide health insurance database. J Formos Med Assoc. 2012;111(11):599–604.CrossRef Jiang YD, Chang CH, Tai TY, Chen JF, Chuang LM. Incidence and prevalence rates of diabetes mellitus in Taiwan: analysis of the 2000–2009 nationwide health insurance database. J Formos Med Assoc. 2012;111(11):599–604.CrossRef
10.
go back to reference Lu CL, Shen HN, Chen HF, Li CY. Epidemiology of childhood type 1 diabetes in Taiwan, 2003–2008. Diabet Med. 2014;31(6):666–73.CrossRef Lu CL, Shen HN, Chen HF, Li CY. Epidemiology of childhood type 1 diabetes in Taiwan, 2003–2008. Diabet Med. 2014;31(6):666–73.CrossRef
11.
go back to reference Chode S, Malmstrom TK, Miller DK, Morley JE. Frailty, diabetes, and mortality in middle-aged African Americans. J Nutr Health Aging. 2016;20(8):854–9.CrossRef Chode S, Malmstrom TK, Miller DK, Morley JE. Frailty, diabetes, and mortality in middle-aged African Americans. J Nutr Health Aging. 2016;20(8):854–9.CrossRef
12.
go back to reference Liccini AP, Malmstrom TK. Frailty and sarcopenia as predictors of adverse health outcomes in persons with diabetes mellitus. J Am Med Dir Assoc. 2016;17(9):846–51.CrossRef Liccini AP, Malmstrom TK. Frailty and sarcopenia as predictors of adverse health outcomes in persons with diabetes mellitus. J Am Med Dir Assoc. 2016;17(9):846–51.CrossRef
13.
go back to reference Sinclair AJ, Abdelhafiz AH, Rodríguez-Mañas L. Frailty and sarcopenia-newly emerging and high impact complications of diabetes. J Diabetes Complications. 2017;31(9):1465–73.CrossRef Sinclair AJ, Abdelhafiz AH, Rodríguez-Mañas L. Frailty and sarcopenia-newly emerging and high impact complications of diabetes. J Diabetes Complications. 2017;31(9):1465–73.CrossRef
14.
go back to reference Casanova F, Adingupu DD, Adams F, et al. The impact of cardiovascular co-morbidities and duration of diabetes on the association between microvascular function and glycaemic control. Cardiovasc Diabetol. 2017;16(1):114.CrossRef Casanova F, Adingupu DD, Adams F, et al. The impact of cardiovascular co-morbidities and duration of diabetes on the association between microvascular function and glycaemic control. Cardiovasc Diabetol. 2017;16(1):114.CrossRef
15.
go back to reference Ulley J, Abdelhafiz AH. Frailty predicts adverse outcomes in older people with diabetes. Practitioner. 1800;2017(261):17–20. Ulley J, Abdelhafiz AH. Frailty predicts adverse outcomes in older people with diabetes. Practitioner. 1800;2017(261):17–20.
16.
go back to reference Li P-I, Wang J-N, Guo H-R. A long-term quality-of-care score for predicting the occurrence of macrovascular diseases in patients with type 2 diabetes mellitus. Diabetes Res Clin Pract. 2018;139:72–80.CrossRef Li P-I, Wang J-N, Guo H-R. A long-term quality-of-care score for predicting the occurrence of macrovascular diseases in patients with type 2 diabetes mellitus. Diabetes Res Clin Pract. 2018;139:72–80.CrossRef
17.
go back to reference Ou H-T, Chang K-C, Li C-Y, Wu J-S. Risks of cardiovascular diseases associated with dipeptidyl peptidase-4 inhibitors and other antidiabetic drugs in patients with type 2 diabetes: a nation-wide longitudinal study. Cardiovasc Diabetol. 2016;15(1):41.CrossRef Ou H-T, Chang K-C, Li C-Y, Wu J-S. Risks of cardiovascular diseases associated with dipeptidyl peptidase-4 inhibitors and other antidiabetic drugs in patients with type 2 diabetes: a nation-wide longitudinal study. Cardiovasc Diabetol. 2016;15(1):41.CrossRef
18.
go back to reference Chang H-Y, Weiner J, Richards T, Bleich S, Segal J. Predicting costs with diabetes complications severity index in claims data. Am J Manag Care. 2012;18(4):213–9.PubMed Chang H-Y, Weiner J, Richards T, Bleich S, Segal J. Predicting costs with diabetes complications severity index in claims data. Am J Manag Care. 2012;18(4):213–9.PubMed
19.
go back to reference Chao C-T, Wang J, Wu H-Y, Huang J-W, Chien K-L. Age modifies the risk factor profiles for acute kidney injury among recently diagnosed type 2 diabetic patients: a population-based study. GeroScience. 2018;40(2):201–17.CrossRef Chao C-T, Wang J, Wu H-Y, Huang J-W, Chien K-L. Age modifies the risk factor profiles for acute kidney injury among recently diagnosed type 2 diabetic patients: a population-based study. GeroScience. 2018;40(2):201–17.CrossRef
20.
go back to reference Mohammedi K, Woodward M, Marre M, et al. Comparative effects of microvascular and macrovascular disease on the risk of major outcomes in patients with type 2 diabetes. Cardiovasc Diabetol. 2017;16(1):95.CrossRef Mohammedi K, Woodward M, Marre M, et al. Comparative effects of microvascular and macrovascular disease on the risk of major outcomes in patients with type 2 diabetes. Cardiovasc Diabetol. 2017;16(1):95.CrossRef
21.
go back to reference Van Kan GA, Rolland Y, Bergman H, Morley JE, Kritchevsky SB, Vellas B. The I.A.N.A. task force on frailty assessment of older people in clinical practice. J Nutr Health Aging. 2008;12(1):29–37.CrossRef Van Kan GA, Rolland Y, Bergman H, Morley JE, Kritchevsky SB, Vellas B. The I.A.N.A. task force on frailty assessment of older people in clinical practice. J Nutr Health Aging. 2008;12(1):29–37.CrossRef
22.
go back to reference Chao C-T, Hsu Y-H, Chang P-Y, et al. Simple self-report FRAIL scale might be more closely associated with dialysis complications than other frailty screening instruments in rural chronic dialysis patients. Nephrology. 2015;20(5):321–8.CrossRef Chao C-T, Hsu Y-H, Chang P-Y, et al. Simple self-report FRAIL scale might be more closely associated with dialysis complications than other frailty screening instruments in rural chronic dialysis patients. Nephrology. 2015;20(5):321–8.CrossRef
23.
go back to reference Chao C-T, Huang J-W, Chiang C-K. Functional assessment of chronic illness therapy—the fatigue scale exhibits stronger associations with clinical parameters in chronic dialysis patients compared to other fatigue-assessing instruments. PeerJ. 2016;4:e1818.CrossRef Chao C-T, Huang J-W, Chiang C-K. Functional assessment of chronic illness therapy—the fatigue scale exhibits stronger associations with clinical parameters in chronic dialysis patients compared to other fatigue-assessing instruments. PeerJ. 2016;4:e1818.CrossRef
24.
go back to reference Li Y, Zou Y, Wang S, et al. A pilot study of the FRAIL scale on predicting outcomes in Chinese elderly people with type 2 diabetes. J Am Med Dir Assoc. 2015;16(8):714-e7–12.CrossRef Li Y, Zou Y, Wang S, et al. A pilot study of the FRAIL scale on predicting outcomes in Chinese elderly people with type 2 diabetes. J Am Med Dir Assoc. 2015;16(8):714-e7–12.CrossRef
25.
go back to reference Faurot KR, Funk MJ, Pate V, et al. Using claims data to predict dependency in activities of daily living as a proxy for frailty. Pharmacoepidemiol Drug Saf. 2015;24(1):59–66.CrossRef Faurot KR, Funk MJ, Pate V, et al. Using claims data to predict dependency in activities of daily living as a proxy for frailty. Pharmacoepidemiol Drug Saf. 2015;24(1):59–66.CrossRef
26.
go back to reference Segal JB, Chang H-Y, Du Y, Walston JD, Carlson MC, Varadhan R. Development of a claims-based frailty indicator anchored to a well-established frailty phenotype. Med Care. 2017;55(7):716–22.CrossRef Segal JB, Chang H-Y, Du Y, Walston JD, Carlson MC, Varadhan R. Development of a claims-based frailty indicator anchored to a well-established frailty phenotype. Med Care. 2017;55(7):716–22.CrossRef
27.
go back to reference Hyun KD, Sebastian S. Measuring frailty using claims data for pharmacoepidemiologic studies of mortality in older adults: evidence and recommendations. Pharmacoepidemiol Drug Saf. 2014;23(9):891–901.CrossRef Hyun KD, Sebastian S. Measuring frailty using claims data for pharmacoepidemiologic studies of mortality in older adults: evidence and recommendations. Pharmacoepidemiol Drug Saf. 2014;23(9):891–901.CrossRef
28.
go back to reference Von Gunten CF, Ferris FD, Kirschner C, Emanuel LL. Coding and reimbursement mechanisms for physician services in hospice and palliative care. J Palliat Med. 2000;3(2):157–64.CrossRef Von Gunten CF, Ferris FD, Kirschner C, Emanuel LL. Coding and reimbursement mechanisms for physician services in hospice and palliative care. J Palliat Med. 2000;3(2):157–64.CrossRef
29.
go back to reference Kuo YT, Chang TT, Muo CH, et al. Use of complementary traditional Chinese medicines by adult cancer patients in Taiwan: a nationwide population-based study. Integr Cancer Ther. 2018;17(2):531–41.CrossRef Kuo YT, Chang TT, Muo CH, et al. Use of complementary traditional Chinese medicines by adult cancer patients in Taiwan: a nationwide population-based study. Integr Cancer Ther. 2018;17(2):531–41.CrossRef
30.
go back to reference Verghese J, Wang C, Xue X, Holtzer R. Self-reported difficulty in climbing up or down stairs in nondisabled elderly. Arch Phys Med Rehabil. 2008;89(1):100–4.CrossRef Verghese J, Wang C, Xue X, Holtzer R. Self-reported difficulty in climbing up or down stairs in nondisabled elderly. Arch Phys Med Rehabil. 2008;89(1):100–4.CrossRef
31.
go back to reference Herman T, Inbar-Borovsky N, Brozgol M, Giladi N, Hausdorff JM. The dynamic Gair index in healthy older adults: the role of stair climbing, fear of falling and gender. Gait Posture. 2009;29(2):237–41.CrossRef Herman T, Inbar-Borovsky N, Brozgol M, Giladi N, Hausdorff JM. The dynamic Gair index in healthy older adults: the role of stair climbing, fear of falling and gender. Gait Posture. 2009;29(2):237–41.CrossRef
32.
go back to reference Chao CT, Hou CC, Wu VC, et al. The impact of dialysis-requiring acute kidney injury on long-term prognosis of patients requiring prolonged mechanical ventilation: nationwide population-based study. PLoS ONE. 2012;7(12):e50675.CrossRef Chao CT, Hou CC, Wu VC, et al. The impact of dialysis-requiring acute kidney injury on long-term prognosis of patients requiring prolonged mechanical ventilation: nationwide population-based study. PLoS ONE. 2012;7(12):e50675.CrossRef
33.
go back to reference Chao CT, Tang CH, Cheng RW, Wang MY, Hung KY. Protein-energy wasting significantly increases healthcare utilization and costs among patients with chronic kidney disease: a propensity-score matched cohort study. Curr Med Res Opin. 2017;33(9):1705–13.CrossRef Chao CT, Tang CH, Cheng RW, Wang MY, Hung KY. Protein-energy wasting significantly increases healthcare utilization and costs among patients with chronic kidney disease: a propensity-score matched cohort study. Curr Med Res Opin. 2017;33(9):1705–13.CrossRef
34.
go back to reference Wang WJ, Chao CT, Huang YC, et al. The impact of acute kidney injury with temporal dialysis on the risk of fracture. J Bone Miner Res. 2014;29(3):676–84.CrossRef Wang WJ, Chao CT, Huang YC, et al. The impact of acute kidney injury with temporal dialysis on the risk of fracture. J Bone Miner Res. 2014;29(3):676–84.CrossRef
35.
go back to reference Chao C-T, Lai H-J, Tsai H-B, Yang S-Y, Huang J-W. Frail phenotype is associated with distinct quantitative electroencephalographic findings among end-stage renal disease patients: an observational study. BMC Geriatr. 2017;17(1):277.CrossRef Chao C-T, Lai H-J, Tsai H-B, Yang S-Y, Huang J-W. Frail phenotype is associated with distinct quantitative electroencephalographic findings among end-stage renal disease patients: an observational study. BMC Geriatr. 2017;17(1):277.CrossRef
36.
go back to reference Lin TC, Solomon DH, Tedeschi SK, Yoshida K, Kao Yang YH. Comparative risk of cardiovascular outcomes between topical and oral nonselective NSAIDs in Taiwanese patients with rheumatoid arthritis. J Am Heart Assoc. 2017;6(11):e006874.CrossRef Lin TC, Solomon DH, Tedeschi SK, Yoshida K, Kao Yang YH. Comparative risk of cardiovascular outcomes between topical and oral nonselective NSAIDs in Taiwanese patients with rheumatoid arthritis. J Am Heart Assoc. 2017;6(11):e006874.CrossRef
37.
go back to reference Kim DH, Schneeweiss S, Glynn RJ, Lipsitz LA, Rockwood K, Avorn J. Measuring frailty in medicare data: development and validation of a claims-based frailty index. J Gerontol Biol Sci Med Sci. 2018;73(7):980–7.CrossRef Kim DH, Schneeweiss S, Glynn RJ, Lipsitz LA, Rockwood K, Avorn J. Measuring frailty in medicare data: development and validation of a claims-based frailty index. J Gerontol Biol Sci Med Sci. 2018;73(7):980–7.CrossRef
38.
go back to reference Wen Y-C, Chen L-K, Hsiao F-Y. Predicting mortality and hospitalization of older adults by the multimorbidity frailty index. PLoS ONE. 2017;12(11):e0187825.CrossRef Wen Y-C, Chen L-K, Hsiao F-Y. Predicting mortality and hospitalization of older adults by the multimorbidity frailty index. PLoS ONE. 2017;12(11):e0187825.CrossRef
39.
go back to reference Morley JE, Malmstrom TK, Miller DK. A simple frailty questionnaire (FRAIL) predicts outcomes in middle aged African Americans. J Nutr Health Aging. 2012;16(7):601–8.CrossRef Morley JE, Malmstrom TK, Miller DK. A simple frailty questionnaire (FRAIL) predicts outcomes in middle aged African Americans. J Nutr Health Aging. 2012;16(7):601–8.CrossRef
40.
go back to reference Goedendorp MM, Tack CJ, 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. 2014;37(1):73–80.CrossRef Goedendorp MM, Tack CJ, 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. 2014;37(1):73–80.CrossRef
41.
go back to reference Hanjong P, Chang P, Laurie Q, Cynthia F. Glucose control and fatigue in type 2 diabetes: the mediating roles of diabetes symptoms and distress. J Adv Nurs. 2015;71(7):1650–60.CrossRef Hanjong P, Chang P, Laurie Q, Cynthia F. Glucose control and fatigue in type 2 diabetes: the mediating roles of diabetes symptoms and distress. J Adv Nurs. 2015;71(7):1650–60.CrossRef
42.
go back to reference Mohammedi K, Woodward M, Hirakawa Y, et al. Presentations of major peripheral arterial disease and risk of major outcomes in patients with type 2 diabetes: results from the ADVANCE-ON study. Cardiovasc Diabetol. 2016;15(1):129.CrossRef Mohammedi K, Woodward M, Hirakawa Y, et al. Presentations of major peripheral arterial disease and risk of major outcomes in patients with type 2 diabetes: results from the ADVANCE-ON study. Cardiovasc Diabetol. 2016;15(1):129.CrossRef
43.
go back to reference Freeman S, Armstrong JJ, Tyas SL, Neufeld E. Clinical characteristics and patterns of health deficits of centenarians receiving home care and long-term care services. Exp Gerontol. 2017;99:46–52.CrossRef Freeman S, Armstrong JJ, Tyas SL, Neufeld E. Clinical characteristics and patterns of health deficits of centenarians receiving home care and long-term care services. Exp Gerontol. 2017;99:46–52.CrossRef
44.
go back to reference Comans TA, Peel NM, Hubbard RE, Mulligan AD, Gray LC, Scuffham PA. 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.CrossRef Comans TA, Peel NM, Hubbard RE, Mulligan AD, Gray LC, Scuffham PA. 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.CrossRef
45.
go back to reference Blodgett JM, Theou O, Howlett SE, Wu FCW, Rockwood K. A frailty index based on laboratory deficits in community-dwelling men predicted their risk of adverse health outcomes. Age Ageing. 2016;45(4):463–8.CrossRef Blodgett JM, Theou O, Howlett SE, Wu FCW, Rockwood K. A frailty index based on laboratory deficits in community-dwelling men predicted their risk of adverse health outcomes. Age Ageing. 2016;45(4):463–8.CrossRef
46.
go back to reference Dent E, Dal Grande E, Price K, Taylor AW. Frailty and usage of health care systems: results from the South Australian Monitoring and Surveillance System (SAMSS). Maturitas. 2017;104:36–43.CrossRef Dent E, Dal Grande E, Price K, Taylor AW. Frailty and usage of health care systems: results from the South Australian Monitoring and Surveillance System (SAMSS). Maturitas. 2017;104:36–43.CrossRef
47.
go back to reference Hajek A, Bock J-O, Saum K-U, et al. Frailty and healthcare costs—longitudinal results of a prospective cohort study. Age Ageing. 2018;47(2):233–41.CrossRef Hajek A, Bock J-O, Saum K-U, et al. Frailty and healthcare costs—longitudinal results of a prospective cohort study. Age Ageing. 2018;47(2):233–41.CrossRef
48.
go back to reference Wu IC, Lin CC, Hsiung CA. Emerging roles of frailty and inflammaging in risk assessment of age-related chronic diseases in older adults: the intersection between aging biology and personalized medicine. Biomedicine. 2015;5(1):1.CrossRef Wu IC, Lin CC, Hsiung CA. Emerging roles of frailty and inflammaging in risk assessment of age-related chronic diseases in older adults: the intersection between aging biology and personalized medicine. Biomedicine. 2015;5(1):1.CrossRef
49.
go back to reference Cesari M, Costa N, Hoogendijk EO, Vellas B, Canevelli M, Perez-Zepeda MU. How the frailty index may support the allocation of health care resources: an example from the INCUR study. J Am Med Dir Assoc. 2016;17(5):448–50.CrossRef Cesari M, Costa N, Hoogendijk EO, Vellas B, Canevelli M, Perez-Zepeda MU. How the frailty index may support the allocation of health care resources: an example from the INCUR study. J Am Med Dir Assoc. 2016;17(5):448–50.CrossRef
50.
go back to reference Robusto F, Bisceglia L, Petrarolo V, et al. The effects of the introduction of a chronic care model-based program on utilization of healthcare resources: the results of the Puglia care program. BMC Health Serv Res. 2018;18(1):377.CrossRef Robusto F, Bisceglia L, Petrarolo V, et al. The effects of the introduction of a chronic care model-based program on utilization of healthcare resources: the results of the Puglia care program. BMC Health Serv Res. 2018;18(1):377.CrossRef
51.
go back to reference Landi F, Cesari M, Calvani R, et al. The “Sarcopenia and Physical fRailty IN older people: multicomponent Treatment strategies” (SPRINTT) randomized controlled trials: design and methods. Aging Clin Exp Res. 2017;29(1):89–100.CrossRef Landi F, Cesari M, Calvani R, et al. The “Sarcopenia and Physical fRailty IN older people: multicomponent Treatment strategies” (SPRINTT) randomized controlled trials: design and methods. Aging Clin Exp Res. 2017;29(1):89–100.CrossRef
52.
go back to reference Yanase T, Yanagita I, Muta K, Nawata H. Frailty in elderly diabetes patients. Endocr J. 2017;65(1):1–11.CrossRef Yanase T, Yanagita I, Muta K, Nawata H. Frailty in elderly diabetes patients. Endocr J. 2017;65(1):1–11.CrossRef
53.
go back to reference Wilchesky M, Tamblyn RM, Huang A. Validation of diagnostic codes within medical services claims. J Clin Epidemiol. 2004;57(2):131–41.CrossRef Wilchesky M, Tamblyn RM, Huang A. Validation of diagnostic codes within medical services claims. J Clin Epidemiol. 2004;57(2):131–41.CrossRef
54.
go back to reference Noh M, Kwon H, Jung CH, et al. 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.CrossRef Noh M, Kwon H, Jung CH, et al. 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.CrossRef
55.
go back to reference Bots SH, van der Graaf Y, Nathoe HM, et al. The influence of baseline risk on the relation between HbA1c and risk for new cardiovascular events and mortality in patients with type 2 diabetes and symptomatic cardiovascular disease. Cardiovasc Diabetol. 2016;15(1):101.CrossRef Bots SH, van der Graaf Y, Nathoe HM, et al. The influence of baseline risk on the relation between HbA1c and risk for new cardiovascular events and mortality in patients with type 2 diabetes and symptomatic cardiovascular disease. Cardiovasc Diabetol. 2016;15(1):101.CrossRef
56.
go back to reference Tao X, Li J, Zhu X, et al. Association between socioeconomic status and metabolic control and diabetes complications: a cross-sectional nationwide study in Chinese adults with type 2 diabetes mellitus. Cardiovasc Diabetol. 2016;15:61.CrossRef Tao X, Li J, Zhu X, et al. Association between socioeconomic status and metabolic control and diabetes complications: a cross-sectional nationwide study in Chinese adults with type 2 diabetes mellitus. Cardiovasc Diabetol. 2016;15:61.CrossRef
57.
go back to reference Mallery LH, Ransom T, Steeves B, Cook B, Dunbar P, Moorhouse P. Evidence-informed guidelines for treating frail older adults with type 2 diabetes: from the Diabetes Care Program of Nova Scotia (DCPNS) and the Palliative and Therapeutic Harmonization (PATH) program. J Am Med Dir Assoc. 2013;14(11):801–8.CrossRef Mallery LH, Ransom T, Steeves B, Cook B, Dunbar P, Moorhouse P. Evidence-informed guidelines for treating frail older adults with type 2 diabetes: from the Diabetes Care Program of Nova Scotia (DCPNS) and the Palliative and Therapeutic Harmonization (PATH) program. J Am Med Dir Assoc. 2013;14(11):801–8.CrossRef
Metadata
Title
Both pre-frailty and frailty increase healthcare utilization and adverse health outcomes in patients with type 2 diabetes mellitus
Authors
Chia-Ter Chao
Jui Wang
Kuo-Liong Chien
COhort of GEriatric Nephrology in NTUH (COGENT) study group
Publication date
01-12-2018
Publisher
BioMed Central
Published in
Cardiovascular Diabetology / Issue 1/2018
Electronic ISSN: 1475-2840
DOI
https://doi.org/10.1186/s12933-018-0772-2

Other articles of this Issue 1/2018

Cardiovascular Diabetology 1/2018 Go to the issue