Diurnal Variation of Plasma Brain-Derived Neurotrophic Factor Levels in Women with Functional Hypothalamic Amenorrhea.

BACKGROUND: Brain-derived neurotrophic factor (BDNF) is strongly related to hormonal networks and is modulated by hypothalamic activity. OBJECTIVE: To evaluate plasma BDNF concentration in patients with functional hypothalamic amenorrhea (FHA), with reference to the BDNF circadian rhythm and its relation with the cortisol (F) rhythm, and to assess whether the duration of amenorrhea might influence the BDNF:F ratio in FHA. DESIGN: This was an observational study evaluating 36 amenorrheic and 30 eumenorrheic women. SETTING: Basal values of BDNF and hormones were examined in blood samples collected from 7:00 to 9:00 h in all the women. Basal BDNF and F levels were determined in blood samples collected in 12 subjects from each group at 8:00, 12:00, 16:00, 20:00, and 24:00 h. RESULTS: BDNF plasma levels are significantly lower in amenorrheic women (p < 0.001) than in the follicular phase of eumenorrheic women. There are no correlations between BDNF values (p > 0.05), sex steroids, and F in FHA. Low plasma BDNF levels in FHA are not significantly correlated with duration of amenorrhea. The 24-hour variation of BDNF in amenorrheic women is significantly lower when compared to the control group, and normal daily variations of BDNF disappeared in FHA patients. F preserved its circadian rhythm in both groups. CONCLUSIONS: Interactions between BDNF, the hypothalamus-pituitary-adrenal axis, and sex steroids might be critical in clinical conditions of modified homeostasis/adaptation, such as FHA.

Striving towards efficiency in the Greek hospitals by reviewing case mix classifications.

In order to verify the efficiency level of Greek public hospitals, this paper evaluates the most recent indicators. Relevant data were collected from the two following databases: (a) hospitals' utilisation data generally and per clinical speciality [Ministry of Health, Athens, (Data based) 1995]; (b) Patients' and hospitals' characteristics per diagnosis [National Statistical Office, Athens, (Data based) 1993]. As explanatory variables, the study examines supply and demand factors following case mix classifications. Firstly, average length of stay (ALOS) and secondly, cost per case were regressed as dependent variables. The study highlights the extent of variability across hospitals for different groups of patients with the same condition. The results specify the most important factors that affect ALOS and cost pertaining to efficiency. Per speciality analysis shows occupancy, size-type of the hospital, beds and doctors per speciality, access and use of outpatient services, and surgical operations, etc. as the most significant factors. Per disease-diagnosis analysis shows age of over 65 years, gender, residence, marital status, surgical operation and insurance as the most important factors. General cost analysis in all National Health Systems (NHS) hospitals shows that economies of scale appear in: (a) district and/or specialised hospitals of 250-400 beds; (b) regional and/or teaching hospitals of over but near to 400 beds. Consequently, the author determines the 'Greek' Diagnostic Related Groups (DRGs), based on the cost per clinical speciality in the nine basic specialities and on the cost per diagnosis of the top 15 diagnoses. Further to the scientific results, such studies will enhance much necessary discussions on the organisation of service delivery and financing, by following case mix classification.