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1.
Aging Clin Exp Res ; 34(11): 2635-2643, 2022 Nov.
Artículo en Inglés | MEDLINE | ID: mdl-35829991

RESUMEN

The risk of falls associated with population ageing and the burden of chronic diseases increase the risk of fragility fractures. Globally, a large increase in the numbers of people sustaining fragility fractures is predicted. The management of highly vulnerable older persons who present and/or are at risk of fragility fractures is challenging given their clinical complexity and the fragmentation of the healthcare services. Fragility fractures frequently result in reduced functional ability and quality of life. Therefore, it is essential to implement person-centered models of care to address the individual's priorities and needs. In this context, the multidimensional construct of intrinsic capacity, composed of the critical functions on which the individual's functional ability rely, becomes of particular interest.In this article, the potential of current models to meet the global challenge is considered, particularly where healthcare systems are less integrated and poorly structured. It then describes how assessment of intrinsic capacity might provide the clinician with a holistic picture of an older individual's reserves before and after a fragility fracture and the implications of implementing this approach based on the construct of intrinsic capacity in healthcare systems, in both well-developed and low-resourced settings. It suggests that optimization of intrinsic capacity and functional ability is a credible conceptual model and might support a generally feasible approach to primary and secondary fracture prevention in older people.


Asunto(s)
Osteoporosis , Fracturas Osteoporóticas , Humanos , Anciano , Anciano de 80 o más Años , Fracturas Osteoporóticas/prevención & control , Fracturas Osteoporóticas/epidemiología , Osteoporosis/tratamiento farmacológico , Calidad de Vida , Prevención Secundaria/métodos , Organización Mundial de la Salud
2.
Aging Clin Exp Res ; 33(8): 2299-2303, 2021 Aug.
Artículo en Inglés | MEDLINE | ID: mdl-33770416

RESUMEN

We investigated the association between the risk of malnutrition, assessed through the Mini Nutritional Assessment-Short Form (MNA-SF), and physical performance, measured with the Short Physical Performance Battery (SPPB), in nursing home residents. Moreover, we evaluated which MNA-SF items were most related to the SPPB and the association of the MNA-SF with each SPPB subtest. A total of 499 older people enrolled in the Incidence of pNeumonia and related ConseqUences in nursing home Residents cohort study were examined. Higher scores of MNA-SF were associated with better physical performance (in particular with gait speed). Food intake deficiency, mobility impairment, and recent psychological stress or acute disease were the items of the MNA-SF most associated with the SPPB. In nursing home residents, the MNA-SF and three of its sub-items were significantly correlated with physical performance, independently of potential confounders. In particular, the association was evident for the gait speed subtask of the SPPB.


Asunto(s)
Desnutrición , Anciano , Estudios de Cohortes , Evaluación Geriátrica , Humanos , Desnutrición/epidemiología , Casas de Salud , Evaluación Nutricional , Estado Nutricional , Rendimiento Físico Funcional , Factores de Riesgo
3.
Clin Pharmacol ; 10: 141-151, 2018.
Artículo en Inglés | MEDLINE | ID: mdl-30349407

RESUMEN

AIM: The aim of the present study is to examine the effects on cognitive performance, anthropometric measures, and metabolic markers in 2 different treatments: Incretins vs sodium-glucose co-transporter-2 inhibitors (SGLT2-I). MATERIALS AND METHODS: A randomized controlled clinical trial was carried out on 39 elderly subjects (23 men and 16 women) with type 2 diabetes mellitus, with a mean age of 77.21±8.07 years. Body mass index (BMI) of 29.92±4.31 kg/m2 and a cognitive status measured by a Mini Mental State Examination (scores >27 points). The subjects were on a 3-month treatment with a maximal dose of metformin as a stable regime, with the addition of incretins (liraglutide at doses of up to 1.8 mg/d; vildagliptin at 100 mg/d; sitagliptin 100 mg/d; and linagliptin 5 mg/d), or SGLT2-I (canagliflozin 300 mg/d; empagliflozin 25 mg/d; and dapagliflozin 10 mg/d). Glucose control was monitored by fasting glucose and glycosylated hemoglobin. Cognitive performance (by way of Verbal Fluency Test, Attentive Matrices Test, and Babcock Story Recall Test), anthropometric measures, and plasma lipids were also evaluated. RESULTS: Cognitive status did not change significantly during the 12 months of treatment in either group: Verbal Fluency Test: (SGLT2-I: P=1.00, incretins: P=0.598); Babcock Story Recall Test (SGLT2-I: P=0.391; incretins: P=0.351); and Attentive Matrices Test (SGLT2-I: P=0.679, incretins: P=0.901). SGLT2-I also resulted in a reduction in weight (-1.95 kg; P<0.05), in BMI (-0.69 kg/m2; P<0.05) and an increase in high-density lipoprotein cholesterol (+5.73 mg/dl; P<0.01). CONCLUSION: Preliminary data show that patients treated with incretins and SGLT2-I have not suffered a reduction in cognitive performance during the 1 year of treatment. Metabolic outcome seemed to benefit, in particular, in patients who were treated with SGLT2-I.

4.
Patient Prefer Adherence ; 10: 407-13, 2016.
Artículo en Inglés | MEDLINE | ID: mdl-27069358

RESUMEN

BACKGROUND: Liraglutide has well-known effects on glucose patterns. However, its several other metabolic properties are still controversial. Given this background, the aims of the present study are to evaluate the effects of 24-week liraglutide treatment on body composition, appetite, and lipid profile in overweight and obese type 2 diabetes mellitus (T2DM) patients. METHODS: A cohort study was carried out on overweight and obese T2DM patients with glycosylated hemoglobin A1c equal to 6% (42 mmol/mol)-10% (86 mmol/mol), under a 3-month treatment (at least) with maximal dose of metformin as stable regime, by adding liraglutide at doses up to 3 mg/d. Body composition markers were measured by dual-energy X-ray densitometry at baseline and after 24 weeks of liraglutide treatment. Glucose control was monitored by glucose, glycosylated hemoglobin A1c, insulin, and homeostasis model assessment. Finally, the appetite sensation and plasma lipids were also evaluated. RESULTS: Twenty-eight subjects (male/female: 16/12, mean age: 58.75±9.33 years, body mass index: 34.13±5.46 kg/m(2)) were evaluated. Accounting for the adjustment for age, sex, and duration of diabetes, we noted significant decreases in body mass index (-0.86 kg/m(2), P=0.024), fat mass (-2.01 kg, P=0.015), fat mass index (-0.71 kg/m(2), P=0.014), android fat (-1.72%, P=0.022), trunk fat (-1.52%, P=0.016), and waist circumference (-6.86 cm, P<0.001) from the baseline values. Haber score was increased by 3.82 units (P=0.009), and the number of metabolic syndrome risk factors was decreased (-0.69 units, P=0.012). The glucose control variables and total cholesterol/high-density lipoprotein cholesterol ratio also showed significant decreases from baseline values. CONCLUSION: The 24-week liraglutide treatment leads to the reduction of fat mass, android fat, trunk fat, and appetite by improving the lipid profile, glucose control, and insulin sensitivity.

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