Laparoscopic repair of giant hiatus hernia: prosthesis is not required for successful outcome.

BACKGROUND: Giant hiatus hernia (GHH) are difficult to manage effectively. This study reports a laparoscopic, prosthesis-free technique to repair of GHH. METHODS: Retrospective analysis of a prospectively populated database of a single surgeon's experience of GHH (>30 % intrathoracic stomach) repair using a novel, uniform technique was performed. Routine postoperative endoscopy, quality of life (QOL), and Visick scoring was conducted. RESULTS: Surgery was conducted in 100 patients (70F, 30 M). Mean (standard deviation [SD]) age was 69.1 (±11.4), median (interquartile range) ASA was 2 (range, 2-3), and mean (SD) body mass index (BMI) was 29.1 (±4.5). Mean follow-up was 574.1 (±240.5) days. One (1 %) patient was converted to an open procedure due to technical issues. Median stay was 2.5 days (range, 2-4). One postoperative death occurred secondary to respiratory sepsis. Eight (8 %) patients had perioperative complications: 4 major (PE, non-ST elevation MI, postoperative bleed managed conservatively, infected mediastinal fluid collection); and 4 minor (pneumothorax, asymptomatic troponin leak, subacute small bowel obstruction, and urinary retention). Ninety-nine (99 %) patients had objective screening for recurrence at 3-6 months. Two (2 %) patients have had symptomatic recurrence of their hiatus hernia; both involved a recurrent fundal herniation. Another seven (7 %) had small (<2 cm), asymptomatic recurrences diagnosed only on routine follow-up. Seven (7 %) patients have required reintervention for dysphagia with endoscopic dilatation conducted to good effect in all cases. Two (2 %) patients have required revisional surgery: one for a symptomatic recurrence at 3 months and a second for recurrent mediastinal collection. The Visick score fell from a mean (SD) of 3 (±1.1) to 1.7 (±0.8) postoperatively (p < 0.0001). The mean (SD) QOL preoperatively was 87.8 (±24) versus 109.1 (±22.3) postoperatively (p < 0.0001). CONCLUSIONS: GHH can be managed safely and effectively laparoscopically, without the use of a prosthesis.

Next generation genome-wide association tool: design and coverage of a high-throughput European-optimized SNP array.

The success of genome-wide association studies has paralleled the development of efficient genotyping technologies. We describe the development of a next-generation microarray based on the new highly-efficient Affymetrix Axiom genotyping technology that we are using to genotype individuals of European ancestry from the Kaiser Permanente Research Program on Genes, Environment and Health (RPGEH). The array contains 674,517 SNPs, and provides excellent genome-wide as well as gene-based and candidate-SNP coverage. Coverage was calculated using an approach based on imputation and cross validation. Preliminary results for the first 80,301 saliva-derived DNA samples from the RPGEH demonstrate very high quality genotypes, with sample success rates above 94% and over 98% of successful samples having SNP call rates exceeding 98%. At steady state, we have produced 462 million genotypes per week for each Axiom system. The new array provides a valuable addition to the repertoire of tools for large scale genome-wide association studies.

Improving the accuracy of signal transduction pathway construction using Level-2 neighbours.

In this paper, we consider the problem of reconstructing a pathway for a given set of proteins based on available genomics and proteomics information such as gene expression data. In all previous approaches, the scoring function for a candidate pathway usually only depends on adjacent proteins in the pathway. We propose to also consider proteins that are of distance two in the pathway (we call them Level-2 neighbours). We derive a scoring function based on both adjacent proteins and Level-2 neighbours in the pathway and show that our scoring function can increase the accuracy of the predicted pathways through a set of experiments. The problem of computing the pathway with optimal score, in general, is NP-hard. We thus extend a randomised algorithm to make it work on our scoring function to compute the optimal pathway with high probability.