OBJECTIVE To analyse brachial artery flux parameters in postmenopausal women before and after hot flush. MATERIAL AND METHODS Two groups of postmenopausal women were studied: Group I, without vasomotor symptoms (n = 10) and Group II, with vasomotor symptoms (n = 10). In all them a brachial artery Doppler ultrasound was done, measuring before and after hyperaemic stimulus of the arterial diame...

Aim: This research aims at validating an instrument to assess the perception of control over hot flushes, frequent symptoms during menopause. Method: A sample of 243 symptomatic women completed the Perceived Control over Hot Flushes Index, PCoHFI (Reynolds, 1997), two subscales from the Menopause Symptoms’ Severity Inventory, MSSI-38 (Pimenta et al., 2011) to assess perceived loss of control an...

Although much research is underway to develop new treatments for postmenopausal hot flashes, it is hindered by a lack of suitable outcome measures. Therefore, the author invented a miniature, ambulatory hot flash recorder. The purpose of this study was to ascertain patient satisfaction with this device. Subjects were 38 postmenopausal women reporting frequent hot flashes. They wore the recorder...

OBJECTIVE The aim of this study was to investigate whether tapering down of combined estrogen plus progestogen therapy (EPT) reduced the recurrence of hot flashes and resumption of therapy compared with abrupt discontinuation. A secondary aim was to evaluate whether health-related quality of life (HRQoL) was affected after discontinuation of EPT and to investigate the possible factors predictin...

Hot data identification can be applied to a variety of fields. Particularly in flash memory, it has a critical impact on its performance (due to garbage collection) as well as its lifespan (due to wear leveling). Although this is an issue of paramount importance in flash memory, it is the least investigated one. Moreover, all existing schemes focus only or mainly on a frequency viewpoint. Howev...

Hot flashes are experienced by over 70% of menopausal women. Criteria to classify hot flashes from physiologic signals show variable performance. The primary aim was to compare conventional criteria to Support Vector Machines (SVMs), an advanced machine learning method, to classify hot flashes from sternal skin conductance. Thirty women with > or =4 hot flashes/day underwent laboratory hot flas...