METHODS: A retrospective analysis of dengue patients admitted to a tertiary care teaching hospital during the period of six years (2008 - 2013) was performed. Patient's demographics, clinical and laboratory findings were recorded via structured data collection form. Patients were categorized into dengue fever (DF) and dengue hemorrhagic fever (DHF). Appropriate statistical methods were used to compare these two groups in order to determine difference in clinico-laboratory characteristics and to identify independent risk factors of DHF.

METHODS AND ANALYSIS: This multicentre prospective study consists of a prestudy interview questionnaire, and a preintervention and postintervention study to be conducted in the nursing home setting on residents at least 65 years old and on five or more medications. We will employ a cluster randomised stepped-wedge interventional design, based on a five-step (reviewing, checking, discussion, communication and documentation) team-care deprescribing practice coupled with the use of a deprescribing guide (consisting of Beers and STOPP criteria, as well as drug interaction checking), to assess the health and pharmacoeconomic outcome in nursing homes' practice. Primary outcome measures of the intervention will consist of fall risks using a fall risk assessment tool. Other outcomes assessed include fall rates, pill burden including number of pills per day, number of doses per day and number of medications prescribed. Cost-related measures will include the use of cost-benefit analysis, which is calculated from the medication cost savings from deprescribing. For the prestudy interview questionnaire, findings will be analysed qualitatively using thematic analysis.

METHODS: The derivation cohort included 90 Malaysian GBS patients with two sets of NCS performed early (1-20days) and late (3-8 weeks). Potential predictors of AIDP were considered in univariate and multivariate logistic regression models to develop a predictive model. The model was externally validated in 102 Japanese GBS patients.

RESULTS: Median motor conduction velocity (MCV), ulnar distal motor latency (DML) and abnormal ulnar/normal sural pattern were independently associated with AIDP at both timepoints (median MCV: p = 0.038, p = 0.014; ulnar DML: p = 0.002, p = 0.003; sural sparing: p = 0.033, p = 0.009). There was good discrimination of AIDP (area under the curve (AUC) 0.86-0.89) and this was valid in the validation cohort (AUC 0.74-0.94). Scores ranged from 0 to 6, and corresponded to AIDP probabilities of 15-98% at early NCS and 6-100% at late NCS.

CONCLUSION: The probabilities of AIDP could be reliably predicted based on median MCV, ulnar DML and ulnar/sural sparing pattern that were determined at early and late stages of GBS.

METHODS: Data for this study was extracted from the 2011 Bangladesh Demographic and Health Survey (BDHS-2011). In this survey, data was collected using a two-stage stratified cluster sampling approach. The chi-square test and a two-level logistic regression model were used for further analysis.