The factorial structure of the mini mental state examination (MMSE) in Alzheimer's disease.

Our aim was to evaluate the factorial structure of the mini mental state examination (MMSE) in Alzheimer's disease (AD). Five hundred and twenty-four consecutive outpatients at their first diagnostic work-up (age 78.02+/-6.07 years, education 6.62+/-3.48 years, mean MMSE score 20.23+/-4.89) (+/-S.D.) with probable AD (based on DSM-IV and NINCDS-ADRDA criteria) were enrolled in a multicenter, cross-sectional, regional-based study. For the purpose of the present study, the 11 subtests composing the MMSE and the global MMSE score (ranging from 10 to 29, included) were considered. Factor analysis with Varimax rotation method identified two factors that explained about the 85% of total variance. The first factor explained the 65% of variance and mainly included temporal orientation, delayed recall, attention/concentration, and constructional praxia. The second factor explained the 20% of variance and included reading a sentence, writing a sentence, naming, verbal repetition and immediate memory. The first factor was a reliable index of cognitive deterioration along the MMSE score interval between 29 and 10, whereas the second factor was not a suitable marker in this range. The two-factor structure of the MMSE in AD is shown in a large series of patients. The first factor expresses the ability to use new information and is related with working memory. The second factor is related with a more consolidated knowledge, namely verbal abilities, and is essentially useless in mild to moderate AD.

Water distribution in insulin-dependent diabetes mellitus in various states of metabolic control.

Alterations in water compartments have been described in insulin-dependent diabetes mellitus (IDDM). Both insulin and lack of natriuretic counteracting response lead to water expansion, while hyperglycemica-induced osmotic diuresis leads to water depletion. Both total body water and water distribution in the extra-intracellular space, as well as their relationships to metabolic control, were investigated in 15 controls (30.1 +/- 1.4 years) and in 26 IDDM patients (31.3 +/- 1.6, diabetes duration 11.3 +/- 1.4 years) who were neither hypertensive nor proteinuric. The amounts of total body water (TBW) and extracellular water (ECW) were predicted by impedance measurements at 100 KHz and at 1 KHz. The amount of intracellular water (ICW) was computed as the difference between the two. Water distribution was estimated by measuring the ratio between low- and high-frequency impedance and by computing the ratio between ECW and ICW. The IDDM patients were divided into four groups on the basis of reference HbA(lc) mean and SD: A < or = mean + 2 SD < B < or = mean + 4 SD < C < or = mean +6SD < D. The groups were comparable with sodium intake, insulin dosage, fasting glycemia and laboratory hydration markers. As compared to controls, impedance values at 1, 5, 10, 50 and 100KHz were significantly lower in diabetic patients and the difference within group D increased as the frequency increased: -3.9% at 1 KHz, -10.1% at 100 KHz. As compared to controls, groups A, B and C showed higher TBW, ECW and ICW while water distribution was normal, and group D showed higher TBW and ICW but normal ECW and a different water distribution. In all IDDM patients, HbA(lc) correlated with ECW (r = -0.49) and distribution ratios (r = 0.42, impedance; r = 0.40, ECW/ICW ratio). These observations suggest that good or moderate long-term control IDDM patients have proportionately normal distributions of ECW and ICW excess. However, water excess in poor control IDDM patients was only found in the ICW space.

[Evaluation in experimental animals of a mathematical model of foreseeing variations in values of stable glycosylated hemoglobin]. / Valutazione sull'animale da esperimento di un modello matematico per la previsione delle variazioni dei valori di emoglobina glicosilata stabile.

Assay of glycosylated hemoglobin provides reliable information on metabolic control in diabetes mellitus over a period of about 90 days. This is why it is currently used as a parameter of blood glucose control in diabetic patients. However, at present little is known about the kinetics of stable glycosylated hemoglobin variations as a result of circadian changes in blood glucose level. The authors describe a mathematical model which allows to foresee glycosylated hemoglobin variability as a result of alterations of blood glucose equilibrium.