Demographic Mix of Care Homes and Personalised Use of SGLT-2 Inhibitors and GLP-1RAs in Residents with Type 2 Diabetes Mellitus
Abstract
1. Introduction
2. Demographic Mix
2.1. Diabetes Burden
2.2. Comorbidity Burden
2.3. Hypoglycaemia Burden
- Old age
- Atypical presentation
- Misdiagnosed as dementia or age-related
- Multiple morbidities
- Organ dysfunction
- Drug errors
- Hypoglycaemia potentiating agents
- Polypharmacy
- Tight glycaemic control
- Malnutrition
- Erratic eating pattern
- Cognitive and physical dysfunction
2.4. Frailty Burden
3. Body Composition
4. SGLT-2 Inhibitors and GLP-1RA
4.1. Current Use
4.2. Efficacy
4.3. Safety
4.4. Scope of Use
- High comorbidity burden
- High hypoglycaemic burden
- Increased prevalence of cardiovascular disease
- Increased prevalence of chronic kidney disease
- Increased prevalence of heart failure
- Increased prevalence of hypertension
- Increased prevalence of stroke
- Increased prevalence of peripheral vascular disease
- Increased polypharmacy
- Increased prevalence of obesity
- Increased prevalence of dyslipidaemia
- Increased prevalence of metabolic syndrome
- High atherosclerotic cardiovascular risk
4.5. Suitable Patients
5. Personalised Approach
6. Conclusions
7. Future Perspectives
- Key points
- The following key points can be drawn from this study:
- The prevalence of elderly individuals with type 2 diabetes residing in care homes is increasing.
- The current use of SGLT-2 inhibitors and GLP-1RAs in care homes is suboptimal.
- The available evidence confirms that SGLT-2 inhibitors and GLP-1RAs are more effective in frail elderly individuals with diabetes, especially those who are overweight or obese.
- Care home residents are a heterogeneous mix of people with wide variations in body composition.
- There is an increasing scope for the use of SGLT-2 inhibitors and GLP-1RAs in care homes, as obesity prevalence is increasing in these settings.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Sun, H.; Saeedi, P.; Karuranga, S.; Pinkepank, M.; Ogurtsova, K.; Duncan, B.B.; Stein, C.; Basit, A.; Chan, J.C.; Mbanya, J.C.; et al. IDF Diabetes Atlas: Global, regional and country-level diabetes prevalence estimates for 2021 and projections for 2045. Diabetes Res. Clin. Pract. 2021, 183, 109119. [Google Scholar] [CrossRef]
- Pearson-Stuttard, J.; Bennett, J.; Cheng, Y.J.; Vamos, E.P.; Cross, A.J.; Ezzati, M.; Gregg, E.W. Trends in predominant causes of death in individuals with and without diabetes in England from 2001 to 2018: An epidemiological analysis of linked primary care records. Lancet Diabetes Endocrinol. 2021, 9, 165–173. [Google Scholar] [CrossRef]
- Collard, R.M.; Boter, H.; Schoevers, R.A.; Voshaar, R.C.O. Prevalence of frailty in community-dwelling older persons: A systematic review. J. Am. Geriatr. Soc. 2012, 60, 1487–1492. [Google Scholar]
- Magnan, E.M.; Bolt, D.M.; Greenlee, R.T.; Fink, J.; Smith, M.A. Stratifying patients with diabetes into clinically relevant groups by combination of chronic conditions to identify gaps in quality of care. Health Serv. Res. 2018, 53, 450–468. [Google Scholar] [PubMed]
- American Diabetes Association Professional Practice Committee. 13. Older Adults: Standards of Care in Diabetes—2025. Diabetes Care 2025, 48, S266–S282. [Google Scholar]
- LeRoith, D.; Biessels, G.J.; Braithwaite, S.S.; Casanueva, F.F.; Draznin, B.; Halter, J.B.; Hirsch, I.B.; McDonnell, M.; E Molitch, M.E.; Murad, M.H.; et al. Treatment of Diabetes in Older Adults: An Endocrine Society Clinical Practice Guideline. J. Clin. Endocrinol. Metab. 2019, 104, 1520–1574. [Google Scholar] [CrossRef]
- Resnick, H.E.; Heineman, J.; Stone, R.; Shorr, R.I. Diabetes in U.S. nursing homes, 2004. Diabetes Care 2008, 31, 287–288. [Google Scholar] [CrossRef] [PubMed]
- Zhang, X.; Decker, F.H.; Luo, H.; Geiss, L.S.; Pearson, W.S.; Saaddine, J.B.; Gregg, E.W.; Albright, A. Trends in the Prevalence and Comorbidities of Diabetes Mellitus in Nursing Home Residents in the United States: 1995–2004. J. Am. Geriatr. Soc. 2010, 58, 724–730. [Google Scholar] [CrossRef]
- Dybicz, S.B.; Thompson, S.; Molotsky, S.; Stuart, B. Prevalence of Diabetes and the Burden of Comorbid Conditions Among Elderly Nursing Home Residents. Am. J. Geriatr. Pharmacother. 2011, 9, 212–223. [Google Scholar] [CrossRef]
- Newton, C.A.; Adeel, S.; Sadeghi-Yarandi, S.; Powell, W.; Migdal, A.; Smiley, D.; Olson, D.; Chambria, R.; Pinzon, I.; Toyoshima, M.; et al. Prevalence, quality of care, and complications in long term care residents with diabetes: A multicenter observational study. J. Am. Med. Dir. Assoc. 2013, 14, 842–846. [Google Scholar]
- Hume, A.L.; Osundolire, S.; Mbrah, A.K.; Nunes, A.P.; Lapane, K.L. Antihyperglycemic Drug Use in Long-Stay Nursing Home Residents with Diabetes Mellitus. J. Nurs. Home Res. Sci. 2022, 8, 10–19. [Google Scholar]
- Farahvash, A.; McCarthy, L.M.; Thompson, W.; Podolsky, S.; Lega, I.C. The prevalence and regional variability of diabetes among nursing home residents in Ontario. J. Am. Geriatr. Soc. 2024, 72, 627–630. [Google Scholar]
- Szczerbińska, K.; Topinková, E.; Brzyski, P.; van der Roest, H.G.; Richter, T.; Finne-Soveri, H.; Denkinger, M.D.; Gindin, J.; Onder, G.; Bernabei, R. The characteristics of diabetic residents in European nursing homes: Results from the SHELTER study. J. Am. Med Dir. Assoc. 2015, 16, 334–340. [Google Scholar] [CrossRef] [PubMed]
- Aspray, T.J.; Nesbit, K.; Cassidy, T.P.; Farrow, E.; Hawthorne, G. Diabetes in British nursing and residential homes: A pragmatic screening study. Diabetes Care 2006, 29, 707–708. [Google Scholar] [PubMed]
- Tabué-Teguo, M.; Simo, N.; Rambhojan, C.; Letchimy, L.; Bonnet, M.; Vélayoudom, F.L.; Boucaud-Maitre, D. Prevalence and characteristics of older adults with type 2 diabetes mellitus living in French Caribbean nursing homes: Results from the baseline KASEHPAD study. Aging Clin. Exp. Res. 2025, 37, 103. [Google Scholar] [CrossRef]
- Sinclair, A.J.; Gadsby, R.; Penfold, S.; Croxson, S.C.; Bayer, A.J. Prevalence of Diabetes in Care Home Residents. Diabetes Care 2001, 24, 1066–1068. [Google Scholar] [CrossRef]
- Gadsby, R.; Barker, P.; Sinclair, A. People living with diabetes resident in nursing homes--assessing levels of disability and nursing needs. Diabet. Med. 2011, 28, 778–780. [Google Scholar] [PubMed]
- Gadsby, R.; Barker, P.; Sinclair, A. Death rate of residents with diabetes in nursing homes. Diabet. Med. 2011, 28, 829–830. [Google Scholar] [CrossRef]
- Duffy, R.E.; Mattson, B.J.; Zack, M. Comorbidities among Ohio’s nursing home residents with diabetes. J. Am. Med. Dir. Assoc. 2005, 6, 383–389. [Google Scholar]
- Migdal, A.; Yarandi, S.S.; Smiley, D.; Umpierrez, G.E. Update on diabetes in the elderly and in nursing home residents. J. Am. Med. Dir. Assoc. 2011, 12, 627–632.e2. [Google Scholar] [CrossRef]
- Chen, L.K.; Lin, M.H.; Lai, H.Y.; Hwang, S. Care of patients with diabetes mellitus in long-term care facilities in Taiwan: Diagnosis, glycemic control, hypoglycemia, and functional status. J. Am. Geriatr. Soc. 2008, 56, 1975–1976. [Google Scholar] [CrossRef]
- Abdelhafiz, A.H.; Bailey, C.; Loo, B.E.; Sinclair, A. Hypoglycemic symptoms and hypoglycemia threshold in older people with diabetes—A patient perspective. J. Nutr. Health Aging 2013, 22, 899–902. [Google Scholar] [CrossRef]
- Boulin, M.; Diaby, V.; Tannenbaum, C. Preventing unnecessary costs of drug-induced hypoglycemia in older adults with type 2 diabetes in the United States and Canada. PLoS ONE 2016, 11, e0162951. [Google Scholar] [CrossRef]
- Sinclair, A.; Dunning, T.; Rodriguez-Mañas, L. Diabetes in older people: New insights and remaining challenges. Lancet Diabetes Endocrinol. 2015, 3, 275–285. [Google Scholar] [CrossRef]
- Munshi, M.N.; Florez, H.; Huang, E.S.; Kalyani, R.R.; Mupanomunda, M.; Pandya, N.; Swift, C.S.; Taveira, T.H.; Haas, L.B. Management of diabetes in long-term care and skilled nursing facilities: A position statement of the American diabetes association. Diabetes Care 2016, 39, 308–318. [Google Scholar] [CrossRef]
- Geller, A.I.; Shehab, N.; Lovegrove, M.C.; Kegler, S.R.; Weidenbach, K.N.; Ryan, G.J.; Budnitz, D.S. National estimates of insulin-related hypoglycemia and errors leading to emergency department visits and hospitalizations. JAMA Intern. Med. 2014, 174, 678–686. [Google Scholar] [CrossRef] [PubMed]
- Kojima, G. Prevalence of Frailty in Nursing Homes: A Systematic Review and Meta-Analysis. J. Am. Med. Dir. Assoc. 2015, 16, 940–945. [Google Scholar]
- Yuan, Y.; Lapane, K.L.; Tjia, J.; Baek, J.; Liu, S.H.; Ulbricht, C.M. Physical frailty and cognitive impairment in older nursing home residents: A latent class analysis. BMC Geriatr. 2021, 21, 487. [Google Scholar] [CrossRef] [PubMed]
- De Silva, T.R.; Theou, O.; Vellas, B.; Cesari, M.; Visvanathan, R. Frailty Screening (FRAIL-NH) and Mortality in French Nursing Homes: Results From the Incidence of Pneumonia and Related Consequences in Nursing Home Residents Study. J. Am. Med. Dir. Assoc. 2018, 19, 411–414. [Google Scholar]
- Liu, W.; Puts, M.; Jiang, F.; Zhou, C.; Tang, S.; Chen, S. Physical frailty and its associated factors among elderly nursing home residents in China. BMC Geriatr. 2020, 20, 294. [Google Scholar] [CrossRef]
- Martínez-Velilla, N.; Herce, P.A.; Herrero, Á.C.; Gutiérrez-Valencia, M.; Sáez de Asteasu, M.L.; Mateos, A.S.; Zubillaga, A.C.; Beroiz, B.I.; Jiménez, A.G.; Izquierdo, M. Heterogeneity of Different Tools for Detecting the Prevalence of Frailty in Nursing Homes: Feasibility and Meaning of Different Approaches. J. Am. Med. Dir. Assoc. 2017, 18, 898.e1–898.e8. [Google Scholar]
- Grosshauser, F.J.; Schoene, D.; Kiesswetter, E.; Sieber, C.C.; Volkert, D. Frailty in Nursing Homes-A Prospective Study Comparing the FRAIL-NH and the Clinical Frailty Scale. J. Am. Med. Dir. Assoc. 2022, 23, 1717.e1–1717.e8. [Google Scholar] [CrossRef]
- Shen, Y.; Chen, J.; Chen, X.; Hou, L.; Lin, X.; Yang, M. Prevalence and Associated Factors of Sarcopenia in Nursing Home Residents: A Systematic Review and Meta-analysis. J. Am. Med. Dir. Assoc. 2019, 20, 5–13. [Google Scholar] [PubMed]
- Papadopoulou, S.K.; Tsintavis, P.; Potsaki, P.; Papandreou, D. Differences in the Prevalence of Sarcopenia in Community-Dwelling, Nursing Home and Hospitalized Individuals. A Systematic Review and Meta-Analysis. J. Nutr. Health Aging 2020, 24, 83–90. [Google Scholar]
- Liu, J.; Zhu, Y.; Tan, J.K.; Ismail, A.H.; Ibrahim, R.; Hassan, N.H. Factors Associated with Sarcopenia among Elderly Individuals Residing in Community and Nursing Home Settings: A Systematic Review with a Meta-Analysis. Nutrients 2023, 15, 4335. [Google Scholar] [CrossRef] [PubMed]
- Großschädl, F.; Schoberer, D.; Eglseer, D.; Lohrmann, C.; Everink, I.; Gordon, A.L.; Schols, J.M.G.A.; Bauer, S. Obesity and its associated factors in older nursing home residents in three European countries-Secondary data analyses from the “International Prevalence Measurement of Care Quality”. Int. J. Older People Nurs. 2023, 18, e12530. [Google Scholar] [CrossRef] [PubMed]
- Galicia Ernst, I.; Worf, I.; Tarantino, S.; Hiesmayr, M.; Volkert, D. Obesity in European nursing homes participating in nutritionDay 2016–2021-Prevalence and resident characteristics. Clin. Obes. 2024, 14, e12697. [Google Scholar] [CrossRef]
- Eglseer, D.; Hristov, H.; Krušič, S.; Gregorič, N.; Hren, I.; Pravst, I.; Lavriša, Ž. Prevalence and Associated Factors of Sarcopenic Obesity Among Nursing Home Residents: A Cross-Sectional Multi-Centre Study. J. Cachexia Sarcopenia Muscle 2025, 16, e13821. [Google Scholar] [CrossRef]
- Zhang, N.; Field, T.; Mazor, K.M.; Zhou, Y.; Lapane, K.L.; Gurwitz, J.H. The Increasing Prevalence of Obesity in Residents of U.S. Nursing Homes: 2005–2015. J. Gerontol. Ser. A 2019, 74, 1929–1936. [Google Scholar] [CrossRef]
- Sanford, A.M. Anorexia of aging and its role for frailty. Curr. Opin. Clin. Nutr. Metab. Care 2017, 20, 54–60. [Google Scholar] [CrossRef]
- de Souto Barreto, P.; Cesari, M.; Morley, J.; Gonzalez-Bautista, E.; Rolland, Y.; Azzolino, D.; Vellas, B.; A Fielding, R. Assessment and management of appetite loss in older adults: An ICFSR task force report. J. Frailty Aging 2023, 12, 1–6. [Google Scholar]
- Cox, N.J.; Morrison, L.; Ibrahim, K.; Robinson, S.M.; Sayer, A.A.; Roberts, H.C. New horizons in appetite and the anorexia of ageing. Age Ageing 2020, 49, 526–534. [Google Scholar] [PubMed]
- Johnson, K.O.; Shannon, O.M.; Matu, J.; Holliday, A.; Ispoglou, T.; Deighton, K. Differences in circulating appetite-related hormone concentrations between younger and older adults: A systematic review and meta-analysis. Aging Clin Exp. Res. 2020, 32, 1233–1244. [Google Scholar] [CrossRef] [PubMed]
- Chia, C.W.; Yeager, S.M.; Egan, J.M. Endocrinology of Taste with Aging. Endocrinol. Metab. Clin. N. Am. 2023, 52, 295–315. [Google Scholar] [CrossRef] [PubMed]
- De Castro, J.M. Age-related changes in spontaneous food intake and hunger in humans. Appetite 1993, 21, 255–272. [Google Scholar] [CrossRef]
- Calvani, R.; Martone, A.M.; Marzetti, E.; Onder, G.; Savera, G.; Lorenzi, M.; Serafini, E.; Bernabei, R.; Landi, F. Pre-hospital dietary intake correlates with muscle mass at the time of fracture in older hip-fractured patients. Front. Aging Neurosci. 2014, 6, 269. [Google Scholar] [CrossRef]
- Strube-Lahmann, S.; Müller-Werdan, U.; Norman, K.; Skarabis, H.; Lahmann, N.A. Underweight in Nursing Homes: Differences between Men and Women. Gerontology 2021, 67, 211–219. [Google Scholar] [CrossRef]
- Castaldo, A.; Zanetti, E.S.; Nobili, A.; Marano, G.; Zani, M.; Magri, M.; Verardi, A.A.; Ianes, A.; Ardoino, G.; Gugiari, M.C.; et al. Food intake and prevalence of malnutrition in nursing homes. A multicenter observational study. J. Gerontol. Geriatr. 2022, 70, 223–236. [Google Scholar] [CrossRef]
- Borkent, J.; Manders, M.; Nijhof, A.; Wijker, L.; Feskens, E.; Naumann, E.; de van der Schueren, M. Too low protein and energy intake in nursing home residents. Nutrition 2023, 110, 112005. [Google Scholar] [CrossRef]
- Borkent, J.W.; Van Hout, H.P.J.; Feskens, E.J.M.; Naumann, E.; de van der Schueren, M.A.E. Diseases, Health-Related Problems, and the Incidence of Malnutrition in Long-Term Care Facilities. Int. J. Env. Res. Public Health 2023, 20, 3170. [Google Scholar] [CrossRef]
- Abdelhafiz, A.H.; Emmerton, D.; Sinclair, A.J. Impact of frailty metabolic phenotypes on the management of older people with type 2 diabetes mellitus. Geriatr. Gerontol. Int. 2021, 21, 614–622. [Google Scholar] [CrossRef]
- Sinclair, A.J.; Abdelhafiz, A.H. Metabolic Impact of Frailty Changes Diabetes Trajectory. Metabolites 2023, 13, 295. [Google Scholar] [CrossRef] [PubMed]
- Sinclair, A.; Siqueira, I.; Abdelhafiz, A. The Effect of Frailty on Body Composition and Its Impact on the Use of SGLT-2 Inhibitors and GLP-1RA in Older Persons with Diabetes. Metabolites 2025, 15, 381. [Google Scholar] [CrossRef]
- Pandya, N.; Jung, M.; Norfolk, A.; Goldblatt, C.; Trenery, A.; Sieradzan, R. Medication Prescribing for Type 2 Diabetes in the US Long-Term Care Setting: Observational Study. J. Am. Med. Dir. Assoc. 2023, 24, 790–797.e4. [Google Scholar]
- Hayes, K.N.; Berry, S.D.; Munshi, M.N.; Zullo, A.R. Adoption of sodium glucose cotransporter-2 inhibitors among prescribers caring for nursing home residents. J. Am. Geriatr. Soc. 2023, 71, 2585–2592. [Google Scholar] [PubMed]
- Abdelhafiz, A.H.; Sinclair, A.J. Cardio-renal protection in older people with diabetes with frailty and medical comorbidities—A focus on the new hypoglycaemic therapy. J. Diabetes Its Complicat. 2020, 34, 107639. [Google Scholar] [CrossRef]
- Butt, J.H.; Jhund, P.S.; Belohlávek, J.; de Boer, R.A.; Chiang, C.-E.; Desai, A.S.; Drożdzż, J.; Hernandez, A.F.; Inzucchi, S.E.; Katova, T.; et al. Efficacy and Safety of Dapagliflozin According to Frailty in Patients with Heart Failure: A Prespecified Analysis of the DELIVER Trial. Circulation 2022, 146, 1210–1224. [Google Scholar] [CrossRef]
- Butt, J.H.; Dewan, P.; Merkely, B.; Belohlávek, J.; Drożdż, J.; Kitakaze, M.; Inzucchi, S.E.; Kosiborod, M.N.; Martinez, F.A.; Tereshchenko, S.; et al. Efficacy and safety of dapagliflozin according to frailty in heart failure with reduced ejection fraction: A post hoc analysis of the DAPA-HF trial. Ann. Intern. Med. 2022, 175, 820–830. [Google Scholar] [CrossRef]
- Kutz, A.; Kim, D.H.; Wexler, D.J.; Liu, J.; Schneeweiss, S.; Glynn, R.J.; Patorno, E. Comparative Cardiovascular Effectiveness and Safety of SGLT-2 Inhibitors, GLP-1 Receptor Agonists, and DPP-4 Inhibitors According to Frailty in Type 2 Diabetes. Diabetes Care 2023, 46, 2004–2014. [Google Scholar] [CrossRef]
- Mayne, K.J.; Sardell, R.J.; Staplin, N.; Judge, P.K.; Zhu, D.; Sammons, E.; Cherney, D.Z.I.; Cheung, A.K.; Maggioni, A.P.; Nangaku, M.; et al. EMPA-KIDNEY Collaborative Group. Frailty, Multimorbidity, and Polypharmacy: Exploratory Analyses of the Effects of Empagliflozin from the EMPA-KIDNEY Trial. Clin. J. Am. Soc. Nephrol. 2024, 19, 1119–1129. [Google Scholar] [PubMed]
- Vart, P.; Butt, J.H.; Jongs, N.; Schechter, M.; Chertow, G.M.; Wheeler, D.C.; Pecoits-Filho, R.; Langkilde, A.M.; Correa-Rotter, R.; Rossing, P.; et al. Efficacy and Safety of Dapagliflozin in Patients With Chronic Kidney Disease Across the Spectrum of Frailty. J. Gerontol. Ser. A 2024, 79, glad181. [Google Scholar] [CrossRef]
- Lunati, M.E.; Cimino, V.; Gandolfi, A.; Trevisan, M.; Montefusco, L.; Pastore, I.; Pace, C.; Betella, N.; Favacchio, G.; Bulgheroni, M.; et al. SGLT2-inhibitors are effective and safe in the elderly: The SOLD study. Pharmacol. Res. 2022, 183, 106396. [Google Scholar] [CrossRef] [PubMed]
- Riester, M.R.; Zullo, A.R.; Joshi, R.; Daiello, L.A.; Hayes, K.N.; Ko, D.; Kim, D.H.; Munshi, M.; Berry, S.D. Comparative safety and cardiovascular effectiveness of sodium-glucose cotransporter-2 inhibitors and glucagon-like peptide-1 receptor agonists in nursing homes. Diabetes Obes. Metab. 2024, 26, 3403–3417. [Google Scholar] [CrossRef] [PubMed]
- Lederle, L.I.; Steinman, M.A.; Jing, B.; Nguyen, B.; Lee, S.J. Glycemic treatment deintensification practices in nursing home residents with type 2 diabetes. J. Am. Geriatr. Soc. 2022, 70, 2019–2028. [Google Scholar] [CrossRef]
- Stasinopoulos, J.; Wood, S.J.; Bell, J.S.; Manski-Nankervis, J.A.; Hogan, M.; Sluggett, J.K. Potential overtreatment and undertreatment of type 2 diabetes mellitus in long-term care facilities: A systematic review. J. Am. Med. Dir. Assoc. 2021, 22, 1889–1897.e5. [Google Scholar] [CrossRef] [PubMed]
- Lipska, K.J.; Krumholz, H.; Soones, T.; Lee, S.J. Polypharmacy in the aging patient: A review of glycemic control in older adults with type 2 diabetes. JAMA 2016, 315, 1034–1045. [Google Scholar] [CrossRef]
- Sinclair, A.J.; Abdelhafiz, A.; Dunning, T.; Izquierdo, M.; Manas, L.R.; Bourdel-Marchasson, I.; Morley, J.E.; Munshi, M.; Woo, J.; Vellas, B. An international position statement on the management of frailty in diabetes mellitus: Summary of recommendations 2017. J. Frailty Aging 2018, 7, 10–20. [Google Scholar] [CrossRef]
- Bourdel-Marchasson, I.; Maggi, S.; Abdelhafiz, A.; Bellary, S.; Demurtas, J.; Forbes, A.; Ivory, P.; Rodríguez-Mañas, L.; Sieber, C.; Strandberg, T.; et al. Essential steps in primary care management of older people with Type 2 diabetes: An executive summary on behalf of the European geriatric medicine society (EuGMS) and the European diabetes working party for older people (EDWPOP) collaboration. Aging Clin. Exp. Res. 2023, 35, 2279–2291. [Google Scholar] [CrossRef]
- International Diabetes Federation Global Guidelines for Managing Older People with Type 2 Diabetes. 2013. Available online: https://ifa.ngo/wp-content/uploads/2014/02/IDF-Guideline-for-Older-People.pdf (accessed on 30 April 2025).
- Lv, X.; Dong, Y.; Hu, L.; Lu, F.; Zhou, C.; Qin, S. Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) for the management of nonalcoholic fatty liver disease (NAFLD): A systematic review. Endocrinol. Diabetes Metab. 2020, 3, e00163. [Google Scholar] [CrossRef]
- Zhang, X.; Bai, R.; Jia, Y.; Zong, J.; Wang, Y.; Dong, Y. The effect of liraglutide on nonalcoholic fatty liver disease in type 2 diabetes mellitus. Int. J. Diabetes Dev. Ctries. 2020, 40, 491–499. [Google Scholar] [CrossRef]
- Berry, S.D.; Lee, Y.; Zullo, A.R.; Kiel, D.P.; Dosa, D.; Mor, V. Incidence of hip fracture in U.S. nursing homes. J. Gerontol. Ser. A 2016, 71, 1230–1234. [Google Scholar] [CrossRef]
- Sohn, M.; Nam, S.; Nauck, M.A.; Lim, S. Long-term comparison of renal and metabolic outcomes after sodium–glucose co-transporter 2 inhibitor or glucagon-like peptide-1 receptor agonist therapy in type 2 diabetes. BMC Med. 2024, 22, 273. [Google Scholar] [CrossRef]
- Mantsiou, C.; Karagiannis, T.; Kakotrichi, P.; Malandris, K.; Avgerinos, I.; Liakos, A.; Tsapas, A.; Bekiari, E. Glucagon-like peptide-1 receptor agonists and sodium-glucose co-transporter-2 inhibitors as combination therapy for type 2 diabetes: A systematic review and meta-analysis. Diabetes Obes. Metab. 2020, 22, 1857–1868. [Google Scholar] [CrossRef]
- Hnynn Si, P.; Parker, S.; Abdelhafiz, D.; Summerbell, A.; Muzulu, S.; Abdelhafiz, A.H. Cardiovascular risk reduction in older people with type 2 diabetes mellitus-a comprehensive narrative review. Diabetes Res. Clin. Pract. 2024, 211, 111662. [Google Scholar] [CrossRef]
- Abdelhafiz, D.; Abdelhafiz, A. Practical Considerations in the Management of Frail Older People with Diabetes. Diseases 2025, 13, 249. [Google Scholar] [CrossRef] [PubMed]
- Abdelhafiz, A.; Bisht, S.; Kovacevic, I.; Pennells, D.; Sinclair, A. Insulin in Frail, Older People with Type 2 Diabetes—Low Threshold for Therapy. Diabetology 2022, 3, 369–383. [Google Scholar] [CrossRef]
- Monti, G.; Moreira, D.G.; Richner, M.; Mutsaers, H.A.M.; Ferreira, N.; Jan, A. GLP-1 Receptor Agonists in Neurodegeneration: Neurovascular Unit in the Spotlight. Cells 2022, 11, 2023. [Google Scholar] [CrossRef] [PubMed]



| Advantages | Disadvantages |
|---|---|
| Significant cardiovascular risk reduction including hospitalisation for heart failure. | SGLT-2 inhibitors risk of genitourinary infections. |
| Significant reduction in chronic kidney disease progression and the need for renal replacement therapy. | SGLT-2 inhibitors risk dehydration, hypotension, and falls. |
| Low risk of hypoglycaemia similar to placebo, which reduces hypoglycaemia-related hospital visits. | SGLT-2 inhibitors risk of euglycaemic diabetic ketoacidosis. |
| Body weight reduction in individuals with obesity. | SGLT-2 inhibitors risk initial decline in renal function. |
| Blood pressure reduction in people with hypertension. | GLP-1RA gastrointestinal side effects and loss of appetite. |
| Simple administration regimen. | GLP-1RA low risk of pancreatitis and gallstones. |
| Improves metabolic profile in patients with metabolic syndrome. | GLP-1RA injectable route of administration. |
| Improves quality of life by reducing hospitalisation risk. | Limited data on effect on muscle mass and risk of sarcopenia. |
| Benefits occur early after starting therapy, making it suitable for those with limited life expectancy. | Weight loss in malnourished underweight patients. |
| With their multiple effects, may reduce polypharmacy. | Risk of misuse of weight loss injection in individuals with obesity. |
| Modest HbA1c reduction even with renal impairment. | Risk of miscalculating missed weekly doses of GLP-1RA. |
| Potential neuroprotective effects, especially for cognitive function. | Limited data on the effect on frailty. |
| Study | Findings | Frail Patient Criteria |
|---|---|---|
| Butt, J.H., et al., DELIVER study analysis, multicentre, 2022 [57]. | A. High rate (%) of primary end point in worse frailty: FI class 1, 6.3 (95% CI 5.7 to 7.1); class 2, 8.3 (7.5 to 9.1); class 3, 13.4 (12.1 to 14.7, p < 0.001). B. Dapagliflozin reduced primary end points: FI class 1 to 3 (HR, 95% CI): 0.85 (0.68 to 1.06), 0.89 (0.74 to 1.08), 0.74 (0.61 to 0.91), p = 0.40. C. Dapagliflozin improved cardiomyopathy scores in patients with greater compared to lower frailty: 4 months score in FI class 1, 0.3 (−0.9 to 1.4); class 2, 1.5 (0.3 to 2.7); and class 3, 3.4 (1.7 to 5.1, p = 0.021). | A. Most frail subjects (75%) had DM, mean (SD) age, 72.7 (8.8) y. B. Compared with non-frail subjects, most frail subjects had a mean (SD): BMI, 32.1 (6.2) vs. 28.1 (5.8), p < 0.001; dyslipidaemia, 86.8% vs. 41.2%, p < 0.001; HbA1c, 7.1% (1.6) vs. 6.2% (1.2), p < 0.001; HF, 35.3% vs. 22.7%, p < 0.001; gout, 19.2% vs. 3.8%, p < 0.001; CKD, 71.8% vs. 29.6%, p < 0.001; prevalent (%) HTN, 97.9% vs. 77.1%, p < 0.001. |
| Butt, J.H., et al., DAPA-HF post hoc analysis, multicentre, 2022 [58]. | Dapagliflozin effective regardless of FI class. Events rates (%) dapagliflozin vs. placebo from low to high FI class: −3.5 (95% CI, −5.7 to −1.2), −3.6 (−6.6 to −0.5), and −7.9 (−13.9 to −1.9). Absolute rates were higher in most frail subjects. | A. Most frail subjects (75.7%) had DM; mean (SD) age, 69.8 (9.0) y. B. Compared with non-frail, most frail subjects had median (IQR) HbA1c, 6.7 (6.0–7.7) vs. 5.9 (5.6–6.4); mean (SD) BMI, 30.6 (6.1) vs. 26.9 (5.7); gout, 20.3 vs. 5.5%; dyslipidaemia, 88.7% vs. 42.8%; HTN, 95.7% vs. 58.3; CKD, 70.8% vs. 23.7%; HF, 50.4% vs. 34.9%. |
| Kutz, A., et al., retrospective study, US, 2023 [59]. | In comparison to DPP-4i: A. SGLT-2i efficacy outcomes (HR): 0.72 (95% CI 0.69 to 0.75), IRD −13.35 (−15.06 to −11.64). IRD range was −6.74 (−8.61 to −4.87) in non-frail and −27.24 (−41.64 to −12.84) in frail (p < 0.01). B. GLP-1RA efficacy outcomes (HR): 0.74 (0.71 to 0.77), IRD -15.49 (−17.46 to −13.52), IRD in the low −7.02 (−9.23 to −4.81) and −25.88 (−38.30 to −13.46) in the high frailty class (p < 0.01). | 100% of subjects have DM, age ≥ 65 y: A. SGLT-2i frail vs. non-frail were obese, 49.5% vs. 29.5%; overweight, 12.1% vs. 9.5%; HTN, 98.6% vs. 86.2%; hyperlipidaemia, 89.8% vs. 82.7%; CKD, 33.8% vs. 7.8%; NASH/NAFLD, 8.5% vs. 4.6%; HF, 40.4% vs. 2.5%. B. GLP-1RA frail vs. non-frail were obese 57% vs. 37%; overweight, 9.6 vs. 7.9%; HTN, 98.7% vs. 87%; hyperlipidaemia, 89.5% vs. 82.8%; CKD, 44.7% vs. 13.4%; NASH/NAFLD, 7.9% vs. 4.9%; HF, 42.7% vs. 2.4%. |
| Mayne, K.J., et al., EMPA-KIDNEY post hoc analysis, multicentre, 2024 [60]. | A. Empagliflozin associated with risk reduction: 28% CKD progression or CV death (HR 0.72, 95% CI 0.64 to 0.82), 14% hospitalisation (0.86, 0.78 to 0.95). B. Empagliflozin greatest absolute risk reduction was in likely frail subjects with highest risk of hospitalisation. | 10 mg empagliflozin daily or placebo randomised to 6609 subjects with CKD; likely frail subjects with the highest risk for hospitalisation were significantly obese, had a mean (SD) BMI of 32.1 (7.1) v 28.3 (6.3) and had more prevalent DM 78% vs. 16%, p < 0.001, compared to low-risk, likely non-frail subjects. |
| Vart, P., et al., RCT, multicentre, 2024 [61]. | A. Dapagliflozin associated with end point risk reduction in all frail classes: HR (95% CI) 0.50 (0.33 to 0.76), 0.62 (0.45 to 0.85), and 0.64 (0.49 to 0.83), p-interaction = 0.67. B. Secondary end points and renal outcomes were similar: (decline ≥ 50% in eGFR, ESRD or mortality from renal cause), CV endpoint (CV mortality, hospitalisation for HF) and death from all-cause. | A. 4303 subjects: 1162 (27%) not or mild frailty (FI ≤ 0.21), 1642 (38.2%) moderate frailty (FI 0.211–0.31), 1499 (34.8%) severe frailty (FI > 0.311). B. Severely frail compared to non-frail subjects were older, mean (SD) age 66.4 (9) v 53.9 (13.5) y, p < 0.001, had more DM 90.8% v 31.3, p < 0.001 and were more obese, mean (SD) BMI 31.9 (6.4) v 26.8 (5), p < 0.001. |
| Guidelines | GLP-1RA | SGLT-2 Inhibitors |
|---|---|---|
| ADA [5] | Given the gastrointestinal side effects, GLP-1RAs are not suitable in elderly people who have unintentional weight loss, are undernourished, or suffer from gastrointestinal diseases. GLP-1RA should not be used in subjects with chronic constipation, significant or recurring ileus, or obstructed bowels. Patients should be regularly monitored for significant loss of weight. | SGLT-2 inhibitors cause UTI and genital fungal infections, more often in women, which may lead to medication withdrawal. Because SGLT-2 inhibitors increase urinary volume, patients should be monitored for urinary incontinence symptoms. Euglycaemic DKA is a potential side effect, especially in patients with multimorbidity who reside in LTC settings, with infection being the most common trigger. SGLT-2 inhibitors may cause osteoporotic bone fractures and clinicians should minimise use in patients at high fracture risk. |
| IPS [67] | Patients should be monitored for anorexia, loss of weight. Avoid in cases of severe kidney disease (eGFR < 30 mL/min) and consider reduction of dose in moderate renal impairment (except for Liraglutide). | Monitor for urinary frequency, incontinence, hypotension, genitourinary infections, and loss of volume. Avoid use if eGFR is <60 mL/min, and consider reduction in dose in renal impairment. |
| EuGMS/EDWPOP [68] | SGLT-2 inhibitors and GLP-1RAs are considered second-line therapy added to metformin to reduce risk of CV events or renal impairment, especially in people with obesity. Their subscription should be balanced with potential adverse events. SGLT-2 inhibitors are not appropriate when moderate to severe frailty is present, or in care home residents with loss of weight. They are associated with UTI risk, fungal infections, loss of volume, low blood pressure, and DKA. Their effects on glycaemic control are fewer in patients with eGFR < 60 mL/min. GLP-1RAs are not appropriate for patients with chronic kidney disease or care home residents with loss of weight. | |
| ESE [6] | All institutions should follow safety procedures. There is high prevalence of chronic kidney disease, undernutrition, and sepsis, which leads to high hypoglycaemia risk. Treatment with oral agents or basal insulin in elderly people with type 2 diabetes in LTC facilities results in a similar risk of hypoglycaemia, which suggests that low, daily dose basal insulin is enough to achieve safe glycaemic control in older residents. Limit the dose of SGLT-2 inhibitors in patients at risk of dehydration. GLP-1RA is commonly associated with nausea, which could be a problem in patients with little oral intake, especially patients with kidney disease. | |
| IDF [69] | Management issues in care homes for elderly include poor nutrition, loss of weight, hypoglycaemia risk, vulnerability to infections, and lower limb ulcers. Therefore, safety, comfort, life quality, preventative and proactive approaches are the focus. Elderly individuals residing in care homes are mostly comorbid, disabled, frail, on multiple medications, and have short survival. The recommendation for care in these settings is based on little evidence. SGLT-2 inhibitors can lead to genitourinary infections, volume loss, orthostatic hypotension, and loss of weight, limiting the scope of their use. GLP-1RAs are associated with gastrointestinal adverse events, which may be a problem and loss of weight can be significant in patients with low weight. | |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2026 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Share and Cite
Sinclair, A.J.; Waseem, F.; Abdelhafiz, A.H. Demographic Mix of Care Homes and Personalised Use of SGLT-2 Inhibitors and GLP-1RAs in Residents with Type 2 Diabetes Mellitus. J. Pers. Med. 2026, 16, 62. https://doi.org/10.3390/jpm16020062
Sinclair AJ, Waseem F, Abdelhafiz AH. Demographic Mix of Care Homes and Personalised Use of SGLT-2 Inhibitors and GLP-1RAs in Residents with Type 2 Diabetes Mellitus. Journal of Personalized Medicine. 2026; 16(2):62. https://doi.org/10.3390/jpm16020062
Chicago/Turabian StyleSinclair, Alan J., Fiza Waseem, and Ahmed H. Abdelhafiz. 2026. "Demographic Mix of Care Homes and Personalised Use of SGLT-2 Inhibitors and GLP-1RAs in Residents with Type 2 Diabetes Mellitus" Journal of Personalized Medicine 16, no. 2: 62. https://doi.org/10.3390/jpm16020062
APA StyleSinclair, A. J., Waseem, F., & Abdelhafiz, A. H. (2026). Demographic Mix of Care Homes and Personalised Use of SGLT-2 Inhibitors and GLP-1RAs in Residents with Type 2 Diabetes Mellitus. Journal of Personalized Medicine, 16(2), 62. https://doi.org/10.3390/jpm16020062
