Integrated Central Blood Pressure-aortic Stiffness Risk Categories and Cardiovascular Mortality in End-stage Renal Disease

BACKGROUND: Our aim was to study the predictive power of integrated central blood pressure-aortic stiffness (ICPS) risk categories on cardiovascular (CV) mortality in end-stage renal disease (ESRD) patients. METHODS: This is a secondary analysis of a prospective study of 91 ESRD patients on hemodialysis therapy. At baseline, pulse wave velocity (PWV), central systolic blood pressure (cSBP) and central pulse pressure (cPP) were measured and patients were followed up for CV mortality for a median 29.5 months. Based on the shape of the association of each individual ICPS parameter with the CV outcome, patients were assigned ICPS scores: one point was given, if either the cSBP value was in the 3rd, or if the PWV or cPP was in the 2nd or 3rd tertiles (ICPS range: 0–3). We then evaluated the role of ICPS risk categories (average: 0–1, high: 2, very high: 3 points) in the prediction of CV outcomes using Cox proportional hazard regression analysis and compared its discrimination (Harrell’s C) to that of each of its components. RESULTS: We found a strong dose–response association between ICPS risk categories and CV outcome (high risk HR = 2.62, 95% CI: 0.82–8.43, p for trend = 0.106; very high risk HR = 10.03, 95% CI: 1.67–60.42, p = 0.02) even after adjustment for multiple potential confounders. ICPS risk categories had a modest discrimination (C: 0.622, 95% CI: 0.525–0.719) that was significantly better than that of cSBP (dC: 0.061, 95% CI: 0.006–0.117). CONCLUSIONS: The ICPS risk categories may improve the identification of ESRD patients with high CV mortality risk

Routes Obey Hierarchy in Complex Networks.

The last two decades of network science have discovered stunning similarities in the topological characteristics of real life networks (many biological, social, transportation and organizational networks) on a strong empirical basis. However our knowledge about the operational paths used in these networks is very limited, which prohibits the proper understanding of the principles of their functioning. Today, the most widely adopted hypothesis about the structure of the operational paths is the shortest path assumption. Here we present a striking result that the paths in various networks are significantly stretched compared to their shortest counterparts. Stretch distributions are also found to be extremely similar. This phenomenon is empirically confirmed on four networks from diverse areas of life. We also identify the high-level path selection rules nature seems to use when picking its paths

Discriminatory processor sharing with access rate limitations

In the access part of communication networks user access rates are usually limited by technology and are much lower than the bottleneck link transmission capacity carrying the traffic flows aggregated. A possible model for bandwidth sharing of the bottleneck link is the Discriminatory Processor Sharing (DPS) models, in which the server capacity (link bandwidth) is distributed among different classes of users in an unequal manner. Recently, some DPS variants incorporating the access rate limits of users have been analyzed. These models are not bandwidth sparing in a sense, that the capacity share of a class may simply be cut at its access rate limit, and the incidentally residual bandwidth is not reused in other classes. In this paper we introduce and analyze a novel variant of DPS in which the original processor sharing effect and the access rate limit constraints are combined in a bandwidth economical way resulting a truly capacity-conserving operation. Besides the state space characterization of this model, two asymptotic behaviors are also presented. We also argue in the favor of practical significance of these asymptotics, that is it could greatly help in finding high quality approximate solutions of this DPS system, i.e.q in terms of the average waiting times of flows

The impact of currently recommended antihypertensive therapy on depression and other psychometric parameters: preliminary communication.

AIMS: Current evidence on the psychological effects of antihypertensive medications is controversial. The aim of this study was to evaluate the effect of current antihypertensive medication on different psychometric parameters and on serum brain-derived neurotrophic factor (BDNF) level. METHODS: Psychometric, haemodynamic, arterial stiffness and laboratory parameters were evaluated before and 3 months after the initiation of antihypertensive medication in untreated hypertensive patients (HT, n=31), and once in healthy controls (CONT, n=22). Subjects completed the following psychometric tests: Beck Depression Inventory (BDI), Hamilton Anxiety Scale (HAM-A), Symptom Checklist 90 Revised (SCL-90), Temperament Evaluation of Memphis, Pisa, Paris, and San Diego Autoquestionnaire, Big Five Inventory, Pain Vigilance and Awareness Questionnaire and Berkeley Expressivity Questionnaire. Amlodipine and/or perindopril compounds were preferred medications. Serum BDNF was measured with ELISA. RESULTS: Brachial systolic blood pressure, as well as pulse wave velocity were significantly improved in the HT group over the 3-month follow-up (153.3+/-15.9 mmHg vs. 129.5+/-10.0 mmHg and 8.2+/-1.4 m/s vs 7.5+/-1.6 m/s, respectively). Similarly, we found improvements in BDI (0.73 points) and in several Scl-90 subscales. Serum BDNF was not different between CONT and HT and did not change for therapy. CONCLUSIONS: Our results indicate that initiation of currently recommended antihypertensive medications in newly diagnosed patients may have a significant impact on psychological well-being of patients and could influence quality of life as well

An improved female-targeted semiochemical lure for the European corn borer Ostrinia nubilalis Hbn.

The addition of synthetic 4-methoxy-2-phenethyl alcohol to the known attractant phenylacetaldehyde synergized attraction of the European corn borer Ostrinia nubilalis, the blend invariably catching 3 to 5 times more than phenylacetaldehyde on its own. Highest catches were recorded by the 1:1 blend. Both females and males were attracted, supposedly in the natural sex ratio of the local population. This improved bisex O. nubilalis attractant could be more efficient and more suitable for detection and monitoring purposes than previously know lures, making possible to draw more reliable plant protection decisions

Hyperthymic affective temperament and hypertension are independent determinants of serum brain-derived neurotrophic factor level

BACKGROUND: Brain-derived neurotrophic factor (BDNF) has neuroprotective, proangiogenic and myogenic effects and, therefore, possibly acts as a psychosomatic mediator. Here, we measured serum BDNF (seBDNF) level in hypertensive patients (HT) and healthy controls (CONT) and its relation to affective temperaments, depression and anxiety scales, and arterial stiffness parameters. METHODS: In this cross-sectional study, affective temperaments, anxiety, and depression were studied with questionnaires (TEMPS-A, HAM-A, and BDI, respectively). SeBDNF level and routine laboratory parameters were measured as well. Arterial stiffness was evaluated with a tonometric method. RESULTS: Allover, 151 HT, and 32 CONT subjects were involved in the study. SeBDNF level was significantly higher in HT compared to CONT (24880 +/- 8279 vs 21202.6 +/- 6045.5 pg/mL, p < 0.05). In the final model of regression analysis, hyperthymic temperament score (Beta = 405.8, p = 0.004) and the presence of hypertension (Beta = 6121.2, p = 0.001) were independent determinants of seBDNF. In interaction analysis, it was found that in HT, a unit increase in hyperthymic score was associated with a 533.3 (95 %CI 241.3-825.3) pg/mL higher seBDNF. This interaction was missing in CONT. CONCLUSIONS: Our results suggest a complex psychosomatic involvement of BDNF in the pathophysiology of hypertension, where hyperthymic affective temperament may have a protective role. BDNF is not likely to have an effect on large arteries