Biomedical subjects

Evaristo Ettorre

Publications and source records attributed to Evaristo Ettorre.

5 recordsLinked to original sources

PubMed2007

Event related brain potentials in elderly patients with recently diagnosed isolated systolic hypertension.

OBJECTIVE: Isolated Systolic Hypertension (ISH) is a known risk factor for cognitive impairment, but the time of onset of neurocognitive changes relative to the onset of ISH has yet to be established. The purpose of this study was to investigate the relationship between systolic BP values and neurocognitive function in the early stages of ISH. METHODS: Twenty elderly patients with recently (< 2 years) diagnosed ISH and 10 elderly normotensive controls underwent Ambulatory Blood Pressure Monitoring (ABPM) and neurocognitive assessment, performed using the Mini Mental State Examination (MMSE), and the recording of ERPs with an odd ball acoustic paradigm. RESULTS: There were no significant differences in MMSE scores or in the P300 latency between ISH patients and controls. The N2 latency was significantly higher in ISH patients vs. controls (p<0.0001), and showed a significant association with both clinical and ambulatory systolic BP and pulse pressure values in the overall study population. CONCLUSIONS: These findings suggest the existence of early subclinical alterations in neurocognitive function in early ISH, detectable through ERPs. SIGNIFICANCE: Our findings underscore the ISH may constitute a threat to neurocognitive health in the elderly.

Aged↗

PubMed2006

Influence of cardiac-resynchronization therapy on heart rate and blood pressure variability: 1-year follow-up.

BACKGROUND: Several studies have shown that cardiac-resynchronization therapy (CRT) improves haemodynamic function, cardiac symptoms, and heart rate variability (HRV) and reduces the risk of mortality and sudden death in subjects with chronic heart failure (CHF). In subjects with CHF, power spectral values for the low-frequency (LF) component of RR variability < or =13 ms2, are associated with an increased risk of sudden death. AIMS AND METHODS: To assess whether spectral indexes obtained by power spectral analysis of HRV and systolic blood pressure (SBP) variability could predict malignant ventricular arrhythmias in patients with severe CHF treated with an implantable cardioverter-defibrillator (ICD) alone or with ICD+CRT. In addition, changes in non-invasive spectral indices using short-term power spectral analysis of HRV and SBP variability during controlled breathing in 15 patients with CHF treated with an ICD alone and 16 patients receiving ICD+CRT, were assessed pre-treatment and at 1 year. RESULTS: Arrhythmias necessitating an appropriate ICD shock were more frequent in subjects who had low LF power. CRT improved all spectral components, including LF power. CONCLUSIONS: Low LF power values predict an increased risk of malignant ventricular arrhythmias; after 1 year of CRT most non-spectral and spectral data, including LF power, improved. Whether these improvements lead to better long-term survival in patients with CHF remains unclear.

Aged↗

PubMedDate not supplied

The influence of lifestyle on cardiovascular risk factors. Analysis using a neural network.

The cardiovascular pathologies are the most common causes of death in the elderly patient. To single out the main risk factors in order to effectively prevent the onset of the disease, the authors experimented a special computerized tool, the neural network, that works out a mathematical relation that can obtain certain data (defined as output) as a function of other data (defined as input). Data were processed from a sample of 276 subjects of both sexes aged 26-69 years old. The output data were: high/low cholesterolemia, HDL cholesterol, triglyceridemia with respect to an established cut-off; the input data were: sex, age, build, weight, married/single, number of children, number of cigarettes smoked/day, amount of wine and number of cups of coffee. We conclude that: (i) a relationship exists, deduced from a neural network, between a set of input variables and a dichotomous output variable; (ii) this relationship can be expressed as a mathematical function; (iii) a neural network, having learned the data on a sufficiently large population, can provide valid predictive data for a single individual with a high probability (up to 93.33%) that the response it gives is correct. In this study, such a result is found for two of the three cardiovascular risk indicators considered (cholesterol and triglycerides); (iv) the repetition of the neural network analysis of the cases in question after a "pruning" operation provided a somewhat less good performance; (v) a statistical analysis conducted on those same cases has confirmed the existence of a strong relationship between the input and the output variables. Therefore the neural network is a valid instrument for providing predictive in a single subject on cardiovascular pathology risks.

Adult↗

PubMedDate not supplied

Is it possible to predict one-year survival in centenarians? A neural network study.

BACKGROUND: Human life expectancy is constantly increasing: the challenge for modern geriatric medicine is to identify the means to reach successfully extreme longevity. OBJECTIVE: To determine which are the survival determinants in centenarians using a neural network. METHODS: Sample of 110 centenarians living in Rome, mean age 101.6 years (SD=1.8) with a sex ratio males:females of 1:3. We administered an extensive health interview (lasting 1-2 h) to each subject. The questionnaire, carried out according to the Geriatric Multidimensional Assessment, is made up of 100 items including a comprehensive health and psychosocial assessment aimed at various topics of general health and well-being and some scales used in geriatric practice. We applied several three-layered feed-forward neural networks by mixing in different ways the most important of the 100 items. RESULTS: The most predicting powered net is the one constructed with 23 variables regarding comorbidity, cardiovascular risk factors, cognitive status, mood, functional status and social interactions, which therefore are strictly related to survival in centenarians. CONCLUSION: Survival in longevity is a complex biological phenomenon, which is an ideal field for using the neural network as a statistic method. The net shows us that the maintenance of social relationships even in presence of disability is of major importance for survival in the oldest old.

Aged, 80 and over↗

PubMedDate not supplied

[Demographic evolution, aging and frailty].

The 20th century will be remembered for its technological and scientific discoveries and for the exceptional changes in the demographic structure brought about by these and the improved economic and social conditions; in fact, the reduction in the birth rate and a fall in the death rate have caused an increase in the population of the elderly. Today the elderly population represents about 20% of the total and is much more heterogeneous than in the past, with several classes of the elderly: the young elderly from 64 to 74; the old elderly from 75 to 84, the very old from 85 to 100 and the oldest old who are living around a century. The aging of the population has brought out several problems of the elderly, among the "frailty", the effects of which increase as the years pass and which regards about one half of the very old. Frailty is a reduction of the body's ability to maintaine global homeostasis and is caused by a reduction of the functional reserves of all the organs and apparatus which occurs with aging. Screening the frail elderly with a careful multidimensional assessment is important to prevent health problems and to promote good health and it is a good parameter in evaluating the management of the geriatric assistance network and thus health and social costs.

Adolescent↗