The optimal bowel preparation strategy to minimise the risk of anastomotic leak is yet to be determined. This study aimed to determine whether oral antibiotics combined with mechanical bowel preparation (MBP+Abx) was associated with a reduced risk of anastomotic leak when compared to mechanical bowel preparation alone (MBP) or no bowel preparation (NBP).

Laparoscopy has now been implemented as a standard of care for elective colonic resection around the world. During the adoption period, studies showed that conversion may be detrimental to patients, with poorer outcomes than both laparoscopic completed or planned open surgery. The primary aim of this study was to determine whether laparoscopic conversion was associated with a higher major complication rate than planned open surgery in contemporary, international practice.

Abstract Ulcerative colitis (UC) represents chronic inflammation of the large intestine. Immune response plays an important role in disease genesis and progression. Activated leukocytes secrete several cytokines that actively regulate the inflammatory response in UC. The aim of this study was to determine levels of cytokines IL-17, IL-27, IFN-γ and TGF-β in patients with UC and to test them as biomarkers for disease. The blood samples of 24 patients with ulcerative colitis without previous treatment and 37 healthy individuals were analyzed. Serum levels of IL-17, IL-27, IFN-γ and TGF-β were measured using sensitive enzyme-linked immunosorbent assay (ELISA) kits. Serum levels of IL-17, IL-27, IFN-γ and TGF-β were increased in patients with UC, compared to healthy controls (p=0.022; p=0.001; p=0.001; and p=0.002; respectively). Ratios of cytokines IL-27/IL-17, IFN-γ/TGF-β and IL-17/TGF-β were significantly higher in group of patients with UC (p=0.002; p=0.002; p=0.003; respectively). Serum value of TGF-β higher than 20 pg/ml presents a highly sensitive and specific marker for UC. We believe that increased production and predominance of immunosupressive TGF-β may represent compensatory mechanism for ongoing pro-inflammatory processes in UC.

SUMMARY – Multifocal motor neuropathy (MMN) is a chronic demyelinating neuropathy mainly characterized by multifocal distribution; affecting only motor nerve fibers of two or more peripheral nerves, with the absence of symptoms and signs of upper motor neuron; chronic, sometimes cascading progressive course; demyelination with partial block of motor conduction; immune-mediated pathogenesis and good response to intravenous immunoglobulin treatment (IVIG). The diagnosis of MMN is based on clinical, laboratory and electrophysiological characteristics. Steroids are ineffective in MMN and may lead to worsening of the disease. Similarly, therapeutic plasma exchange is negligibly effective in this neuropathy. However, more than 80% of patients with MMN experience improvement after IVIG. We present our three cases of MMN with positive response to IVIG.

One of the most important and most challenging tasks of a mechanism analysis is the problem of mechanism kinematics. This paper shows the way to determine unknown angular accelerations of joint-bar mechanism components, by applying so-called (by authors) epsilon co-function. Using this method, the problem is reduced onto an analysis of relative angular accelerations of neighboring members within the mechanism and determination of a moment of all those vectors with respect to a point or an axis. The main contribution of this paper is that it shows the novel method how to calculate angular accelerations of mechanism members using analog form of equations that are similar to the moment balance equations in statics. Considering that the relative angular velocity vectors play role of forces in statics, this paper shows how to form a system of kinematic equations similar to moment equations in statics, which are sufficient to solve for all angular accelerations of a mechanism.

Abstract The aim of this study is to provide an insight into Balkan populations’ genetic relations utilizing in silico analysis of Y-STR haplotypes and performing haplogroup predictions together with network analysis of the same haplotypes for visualization of the relations between chosen haplotypes and Balkan populations in general. The population dataset used in this study was obtained using 23, 17, 12, 9 and 7 Y-STR loci for 13 populations. The 13 populations include: Bosnia and Herzegovina (B&H), Croatia, Macedonia, Slovenia, Greece, Romany (Hungary), Hungary, Serbia, Montenegro, Albania, Kosovo, Romania and Bulgaria. The overall dataset contains a total of 2179 samples with 1878 different haplotypes. I2a was detected as the major haplogroup in four out of thirteen analysed Balkan populations. The four populations (B&H, Croatia, Montenegro and Serbia) which had I2a as the most prevalent haplogroup were all from the former Yugoslavian republic. The remaining two major populations from former Yugoslavia, Macedonia and Slovenia, had E1b1b and R1a haplogroups as the most prevalent, respectively. The populations with E1b1b haplogroup as the most prevalent one are Macedonian, Romanian, as well as Albanian populations from Kosovo and Albania. The I2a haplogroup cluster is more compact when compared to E1b1b and R1b haplogroup clusters, indicating a larger degree of homogeneity within the haplotypes that belong to the I2a haplogroup. Our study demonstrates that a combination of haplogroup prediction and network analysis represents an effective approach to utilize publicly available Y-STR datasets for population genetics.