Bacterial succession in the colon during childhood and adolescence: molecular studies in a Southern Indian village

Background: The colonic bacterial flora, largely anaerobic, is believed to establish and stabilize in the first 2 y of life. Objective: This study was undertaken to determine whether the bacterial flora of the colon undergoes further changes (succession) during childhood and adolescence. Design: This cross-sectional study examined fecal samples from 130 healthy children and adolescents in the age group 2-17 y and from 30 healthy adults (median age: 42 y) residing in a single village in southern India. DNA was extracted and subjected to 16S rDNA-targeted real-time polymerase chain reaction to determine the relative predominance of Bifidobacterium genus, Bacteroides-Prevotella-Porphyromonas group, Lactobacillus acidophilus group, Eubacterium rectale, and Faecalibacterium prausnitzii. Results: Bifidobacterium species and Bacteroides-Prevotella group were dominant fecal bacteria overall. E. rectale and Lactobacillus species were considerably less abundant. Clear age-related differences emerged, with a steep decline in Bifidobacterium species in adults (P < 0.0001), a steep decline of Lactobacillus species >5 y of age (P < 0.0001), an increase in Bacteroides during late adolescence and in adults (P = 0.0040), an increase in E. rectale during childhood and adolescence followed by a steep decline in adults (P < 0.0001), and a late childhood peak of F. prausnitzii with decline in adolescents and adults (P < 0.0001). Conclusions: Changes in the bacterial flora occur during childhood and adolescence characterized by reduction in Lactobacillus and Bifidobacterium species and an increase in Bacteroides, E rectale, and F. prausnitzii peaked during late childhood in this population

Molecular studies of fecal anaerobic commensal bacteria in acute diarrhea in children

Background and Objective: The commensal bacterial flora of the colon may undergo changes during diarrhea, owing to colonization of the intestine by pathogens and to rapid intestinal transit. This study used molecular methods to determine changes in the composition of selected commensal anaerobic bacteria during and after acute diarrhea in children. Materials and Methods: Fecal samples were obtained from 46 children with acute diarrhea in a rural community during an episode of acute diarrhea, immediately after recovery from diarrhea, and 3 months after recovery. DNA was extracted and quantitative polymerase chain reaction using SYBR green and genus- and species-specific primers targeting 16S rDNA were undertaken to quantitate the following groups of bacteria: Bifidobacterium spp., Bifidobacterium longum group, Bacteroides-Prevotella group, Bacteroides fragilis, Lactobacillus acidophilus group, Faecalibacterium prauznitzii, and Eubacterium rectale, relative to amplification of universal bacterial domain 16S rDNA. Results: Bacteria belonging to the Bacteroides-Prevotella-Porphyromonas group, E rectale, L acidophilus, and F prauznitzii groups were low during acute diarrhea compared with their levels after recovery from diarrhea. The pattern was similar in rotavirus diarrhea and nonrotavirus diarrhea. Administration of amylase-resistant maize starch as adjuvant therapy was associated with lower levels of F prauznitzii at the time of recovery but did not lead to other changes in the floral pattern. Conclusions: Specific classes of fecal bacteria are lower during episodes of acute diarrhea in children than during periods of normal gastrointestinal health, suggesting specific alterations in the flora during diarrhea

ADENOSINEDEAMINASE ACTIVITY IN CEREBROSPINAL FLUID FOR DIAGNOSIS OF TUBERCULOSIS MENINGITIS

Background:Tuberculous meningitis remains a serious clinical problem. Missed diagnosis and delayed treatment result in significant morbidity and mortality. Aims and Objectives: The study was aimed to estimate the cerebrospinal fluid adenosine deaminase levels in clinically suspected cases of meningitis and to evaluate the usefulness of CSF-ADA as a diagnostic test in tuberculosis meningitis.Methods: Adenosine deaminase activity (ADA) was studied in cerebrospinal fluid of 30 cases of tuberculous meningitis, 10 cases of pyogenic meningitis. 14 cases of aseptic meningitis and 15 controls (patients without any neurological disorders who were given spinal anesthesia).Results: The mean cerebrospinal fluid adenosine deaminase activity was 14.1±1.96; 4.92±1.27; 3.66±1.03 and 1.69±0.44 U/l in tuberculous meningitis, pyogenic meningitis, aseptic meningitis and control respectively. The adenosine deaminase activity in tuberculous meningitis cases was significantly higher. The sensitivity and specificity of this test for diagnosis of tuberculous meningitis was 100 % and 97.44% respectively with ADA value of more than 10 U/L. Conclusion: Adenosine deaminase activity in CSF is a rapid, relatively inexpensive and easy procedure, can be of great value in the early diagnosis of tuberculous meningitis, help in earlier institution of appropriate treatment and thereby prevent mortality and complications

Meta-Analysis Design and Results in Real Life: Problem Solvers or Detour to Maze. A Critical Review of Meta-Analysis of DAPT Randomized Controlled Trials.

Therapeutic strategies - such as duration of dual antiplatelet therapy after coronary artery stenting - usually generate a large quantity of meta-analyses. The meta-analyses that include the same randomized clinical trials should produce similar results. Our aim in the study is to analyze the quality and to compare the results of meta-analyses focused on a controversial topic such as dual antiplatelet therapy after percutaneous coronary intervention. We searched all published meta-analyses published up to November 2015 (near DAPT trial publication) selecting those that included the same randomized clinical trials comparing patterns of briefer versus longer-term double antiplatelet therapy. Seventeen meta-analyses achieved our selection criteria. Of the seventeen analyzed, we identified seven (41.1%) based on the same ten randomized clinical trials (RCTs), yet their results varied widely. Many of the meta-analyses differed in only some minor aspect of the design (i.e. eligible studies, length of comparators and statistical methods used). Some authors differed in the number of patients participating in RCTs and even, despite reviewing the same underlying trials, only 2 of the 7 meta-analyses included the same number of patients. Meta-analyses around cardiovascular, all-cause or non-cardiovascular death differ frequently. In the DAPT duration setting, several meta-analyses have been recently published based on the same data, presenting several issues making it difficult to determine clear recommendations on certain points.IN receives research funding from Astrazeneca; has received minor consulting fees from Boston, Medtronic, Astrazeneca; and speaking fees or support for attending scientificmeetings fromBoehringer, Daiichi-Sankyo, Lilly, AstraZeneca and Pfizer. AE is Astrazeneca employee. HB receives research funding from the Instituto de Salud Carlos III (PIE16/00021), AstraZeneca, BMS, Janssen and Novartis; has received consulting fees from Abbott, AstraZeneca, Bayer, BMS-Pfizer, Novartis; and speaking fees or support for attending scientificmeetings from AstraZeneca, Bayer, BMS-Pfizer, Ferrer, Novartis, Servier and MEDSCAPE-the heart.og. The other authors pose no relevant disclosures regarding this manuscript.S

Protective intraoperative ventilation with higher versus lower levels of positive end-expiratory pressure in obese patients (PROBESE): study protocol for a randomized controlled trial

Background: Postoperative pulmonary complications (PPCs) increase the morbidity and mortality of surgery in obese patients. High levels of positive end-expiratory pressure (PEEP) with lung recruitment maneuvers may improve intraoperative respiratory function, but they can also compromise hemodynamics, and the effects on PPCs are uncertain. We hypothesized that intraoperative mechanical ventilation using high PEEP with periodic recruitment maneuvers, as compared with low PEEP without recruitment maneuvers, prevents PPCs in obese patients. Methods/design The PRotective Ventilation with Higher versus Lower PEEP during General Anesthesia for Surgery in OBESE Patients (PROBESE) study is a multicenter, two-arm, international randomized controlled trial. In total, 2013 obese patients with body mass index ≥35 kg/m2 scheduled for at least 2 h of surgery under general anesthesia and at intermediate to high risk for PPCs will be included. Patients are ventilated intraoperatively with a low tidal volume of 7 ml/kg (predicted body weight) and randomly assigned to PEEP of 12 cmH2O with lung recruitment maneuvers (high PEEP) or PEEP of 4 cmH2O without recruitment maneuvers (low PEEP). The occurrence of PPCs will be recorded as collapsed composite of single adverse pulmonary events and represents the primary endpoint. Discussion To our knowledge, the PROBESE trial is the first multicenter, international randomized controlled trial to compare the effects of two different levels of intraoperative PEEP during protective low tidal volume ventilation on PPCs in obese patients. The results of the PROBESE trial will support anesthesiologists in their decision to choose a certain PEEP level during general anesthesia for surgery in obese patients in an attempt to prevent PPCs. Trial registration ClinicalTrials.gov identifier: NCT02148692. Registered on 23 May 2014; last updated 7 June 2016. Electronic supplementary material The online version of this article (doi:10.1186/s13063-017-1929-0) contains supplementary material, which is available to authorized users

A study on passengers’ satisfaction levels on upcoming airport cities

customer’s satisfaction levels will be affected by a number of factors. In the result of multivariate model most of the variables are correlated. Dimension reduction technique refers a large number of correlated variables into fewer factors. In general, one of the most widely used dimension reduction techniques is factor analysis, in which large number of variables are reduced to a fewer number of variables using principal component analysis, an unsupervised algorithm that focuses on maximizing data point variation while ignoring cases and categories, resulting in the loss of some data.it functions as a classifier and a model for predicting customer satisfaction. The main goal of the paper is to use discriminate analysis to identify passenger satisfaction levels on factors related to the modes of transportation they use, classify them into the appropriate groups based on the cases, and build a predictive satisfaction model