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1.
Nihon Ronen Igakkai Zasshi ; 54(3): 349-355, 2017.
Artículo en Japonés | MEDLINE | ID: mdl-28855459

RESUMEN

AIM: Few reports have described the characteristics of hyperglycemic hyperosmolar syndrome (HHS) in the elderly. We investigated the background characteristics and clinical features of 14 elderly patients with HHS. METHODS: HHS was diagnosed based on a blood glucose level of >600 mg/dL and an effective plasma osmolality [2 (Na) + glu/18] of >320 mOsm/kg. For 14 cases of HHS, we investigated the medical and social backgrounds of the patients, their clinical findings, and the outcomes. RESULTS: The mean patient age was 83 years, and the mean body mass index was 17.8 kg/m2. Half had a history of either cerebral infarction or hip fracture. The mean duration of diabetes was 14 years, but 4 diabetes cases were newly diagnosed. There was a high prevalence of acute infection (79%) in HHS patients, especially urinary tract infection and pneumonia, with a seasonal peak in winter. Patients who had been treated with steroids, tube feeding, or both numbered 1, 2, and 1, respectively. Most HHS patients had a history of dementia. More than half of such patients were living alone or only with their spouse, and their activities of daily living showed marked deterioration. The mean blood glucose level, HbA1c, effective serum osmolality, and pH were 881 mg/dL, 10.3%, 353 mOsm/kg, and 7.39, respectively. One patient died during hospitalization, and 9 were discharged to nursing homes or other hospitals. The mean length of hospitalization was 55 days. In most cases, the insulin secretion capacity was preserved, and 9 patients were treatable with oral hypoglycemic agents alone. CONCLUSIONS: Many cases of HHS in the elderly are associated with infection, a shortage of social support, cognitive impairment, or ADL decline. Although the survival rate in our series was high, the functional prognosis was impaired.


Asunto(s)
Coma Hiperglucémico Hiperosmolar no Cetósico , Actividades Cotidianas , Anciano de 80 o más Años , Demencia/complicaciones , Femenino , Humanos , Coma Hiperglucémico Hiperosmolar no Cetósico/complicaciones , Infecciones/complicaciones , Masculino , Pronóstico
2.
Front Aging Neurosci ; 9: 220, 2017.
Artículo en Inglés | MEDLINE | ID: mdl-28729834

RESUMEN

Aims: Although evidence has accumulated that white matter hyperintensity (WMH) is associated with the deterioration of cognitive function and impairment of activities of daily living (ADL), the clinical relevance of WMH in elderly patients with diabetes mellitus (DM) is not still clear. The aim of this study was to examine whether WMH volume is associated with ADL and cognitive function and whether glucose control and glucose variability can affect WMH volume in these patients. Methods: This cross-sectional study investigated the associations of WMH with cognitive function and instrumental ADL (IADL), as well as metabolic and vascular risk factors in a total of 178 elderly patients with diabetes. The study assessed WMH volumes and the functional status of cognition and IADL. WMH volumes were evaluated by obtaining axial T2-weighted and fluid-attenuated inversion recovery sequence images on brain magnetic resonance imaging and assessing the images using Software for Neuro-Image Processing in Experimental Research. Results: We found a significant association between WMH volumes and Mini-Mental State Examination (MMSE) scores (p = 0.039) and between WMH and IADL status (p = 0.006). Furthermore, we found significant relations of large WMH volumes with a high glycoalbumin/glycohemoglobin ratio (GA/HbA1c) (p < 0.001). Large WMH volumes were also found to be associated with a low body mass index (p = 0.014) and a low diastolic blood pressure (p = 0.024), but not with HbA1c. Multiple regression analysis showed that high GA/HbA1c, which reflects high glucose variability, was a significant determining factor for large WMH volumes. We also found that GA/HbA1c was negatively associated with both MMSE (p = 0.036) and IADL (p < 0.001). Conclusion: GA/HbA1c, which is a marker of glucose variability, was independently associated with WMH volumes, which could lead to the decline of cognition and IADL in elderly patients with DM.

3.
J Diabetes Complications ; 29(7): 898-902, 2015.
Artículo en Inglés | MEDLINE | ID: mdl-26122285

RESUMEN

AIMS: This study investigated risk factors of falls in elderly patients with type 2 diabetes mellitus. METHODS: A total of 211 patients aged ≧60years (168 diabetic patients and 43 non-diabetic control subjects) were studied. Factors associated with falls in the past year were retrospectively examined using multiple logistic regression analysis. RESULTS: The prevalence of patients who had a history of falls in the past year was twice as high as in diabetic patients compared in control subjects (36.9% vs. 18.6%, P<0.05). When diabetic patients were exclusively analyzed, the presence of any level of hypoglycemia and the Timed Up and Go test (TUG) scores correlated with patients' falls. The presence of hypoglycemia (OR 3.62, 95% CI: 1.242-10.534, P=0.018), cognitive impairment (OR 3.63, 95% CI: 1.227-10.727, P=0.020), and high Fall Risk Index scores (OR 1.2, 95% CI: 1.010-1.425, P=0.039) was independently correlated with the presence of multiple falls. When the diabetic patients were divided into three groups according to the frequency of hypoglycemia episodes, the prevalence of falls increased as the frequency of hypoglycemia increased. CONCLUSION: Hypoglycemia was a risk factor of falls in elderly type 2 diabetic patients.


Asunto(s)
Accidentes por Caídas/estadística & datos numéricos , Trastornos del Conocimiento/epidemiología , Diabetes Mellitus Tipo 2/epidemiología , Hipoglucemia/epidemiología , Distribución por Edad , Anciano , Anciano de 80 o más Años , Glucemia/análisis , Distribución de Chi-Cuadrado , Trastornos del Conocimiento/fisiopatología , Estudios Transversales , Diabetes Mellitus Tipo 2/diagnóstico , Diabetes Mellitus Tipo 2/terapia , Femenino , Evaluación Geriátrica , Humanos , Hipoglucemia/fisiopatología , Masculino , Persona de Mediana Edad , Prevalencia , Pronóstico , Valores de Referencia , Estudios Retrospectivos , Medición de Riesgo , Distribución por Sexo , Estadísticas no Paramétricas
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