Background:Information regarding early predictive factors for mortality and morbidity in sepsis is limited from developing countries.Methods:A prospective observational study was conducted to determine the clinical outcome and predictors of mortality in children with sepsis, severe sepsis, and septic shock. Children aged 1 month to 14 years admitted to a tertiary care pediatric intensive care unit (PICU) with a diagnosis of sepsis, severe sepsis, or septic shock were enrolled in the study. Hemodynamic and laboratory parameters which discriminate survivors from nonsurvivors were evaluated.Results:A total of 50 patients (30 [60%] males) were enrolled in the study, of whom 21 (42%) were discharged (survivors) and rest 29 (58%) expired (nonsurvivor). Median (interquartile range) age of enrolled patients were 18 (6, 60) months. Mortality was not significantly predicted individually by any factor including age (odds ratio [OR] [95% confidence interval [CI]]: 0.96 [0.91-1.01], P = 0.17), duration of PICU stay (OR [95% CI]: 1.18 [0.99-1.25], P = 0.054), time lag to PICU transfer (OR [95% CI]: 1.02 [0.93-1.12], P = 0.63), Pediatric Risk of Mortality (PRISM) score at admission (OR [95% CI]: 0.71 [0.47-1.04], P = 0.07) and number of organ dysfunction (OR [95% CI]: 0.03 [0.01-1.53], P = 0.08).Conclusion:Mortality among children with sepsis, severe sepsis, and septic shock were not predicted by any individual factors including the time lag to PICU transfer, duration of PICU stay, presence of multiorgan dysfunction, and PRISM score at admission.

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MERS-CoV is an airborne disease which spreads easily and has high death rate. To predict and prevent MERS-CoV, real-time analysis of user's health data and his/her geographic location are fundamental. Development of healthcare systems using cloud computing is emerging as an effective solution having benefits of better quality of service, reduced cost, scalability, and flexibility. In this paper, an effective cloud computing system is proposed which predicts MERS-CoV-infected patients using Bayesian belief network and provides geographic-based risk assessment to control its outbreak. The proposed system is tested on synthetic data generated for 0.2 million users. System provided high accuracy for classification and appropriate geographicbased risk assessment. The key point of this paper is the use of geographic positioning system to represent each MERS-CoV users on Google maps so that possibly infected users can be quarantined as early as possible. It will help uninfected citizens to avoid regional exposure and the government agencies to manage the problem more effectively.

Indian parents are stressed maximally with environment of PICU. Factor leading to parental stress was intubation status of the child and was not affected by gender or socio demographic profile of the parents.

BackgroundThe use of lengthy, detailed, and complex informed consent forms (ICFs) is of paramount concern in biomedical research as it may not truly promote the rights and interests of research participants. The extent of information in ICFs has been the subject of debates for decades; however, no clear guidance is given. Thus, the objective of this study was to determine the perspectives of research participants about the type and extent of information they need when they are invited to participate in biomedical research.MethodsThis multi-center, cross-sectional, descriptive survey was conducted at 54 study sites in seven Asia-Pacific countries. A modified Likert-scale questionnaire was used to determine the importance of each element in the ICF among research participants of a biomedical study, with an anchored rating scale from 1 (not important) to 5 (very important).ResultsOf the 2484 questionnaires distributed, 2113 (85.1%) were returned. The majority of respondents considered most elements required in the ICF to be ‘moderately important’ to ‘very important’ for their decision making (mean score, ranging from 3.58 to 4.47). Major foreseeable risk, direct benefit, and common adverse effects of the intervention were considered to be of most concerned elements in the ICF (mean score = 4.47, 4.47, and 4.45, respectively).ConclusionsResearch participants would like to be informed of the ICF elements required by ethical guidelines and regulations; however, the importance of each element varied, e.g., risk and benefit associated with research participants were considered to be more important than the general nature or technical details of research. Using a participant-oriented approach by providing more details of the participant-interested elements while avoiding unnecessarily lengthy details of other less important elements would enhance the quality of the ICF.Electronic supplementary materialThe online version of this article (10.1186/s12910-018-0318-x) contains supplementary material, which is available to authorized users.