METHODS: Patients data with CKD stages 3-5 admitted at various wards were included in the model development. The data collected included demographic characteristics, comorbid conditions, laboratory tests and types of medicines taken. Sequential series of logistic regression models using mortality as the dependent variable were developed. Bootstrapping method was used to evaluate the model's internal validation. Variables odd ratio (OR) of the best model were used to calculate the predictive capacity of the risk scores using the area under the curve (AUC).

RESULTS: The best prediction model included comorbidities heart disease, dyslipidaemia and electrolyte imbalance; psychotic agents; creatinine kinase; number of total medication use; and conservative management (Hosmer and Lemeshow test =0.643). Model performance was relatively modest (R square = 0.399) and AUC which determines the risk score's ability to predict mortality associated with ADRs was 0.789 (95% CI, 0.700-0.878). Creatinine kinase, followed by psychotic agents and electrolyte disorder, was most strongly associated with mortality after ADRs during hospitalization. This model correctly predicts 71.4% of all mortality pertaining to ADRs (sensitivity) and with specificity of 77.3%.

METHODS: This retrospective study was conducted between January 2013 and December 2015 in Cu Chi General Hospital. The following dengue-related treatment costs were calculated: hospitalisation, diagnosis, specialised services, drug usage and medical supplies. Average cost per case and treatment cost across different age was calculated.

RESULTS: In the study period, 1672 patients with dengue fever were hospitalised. The average age was 24.98 (SD = 14.10) years, and 47.5% were males (795 patients). Across age groups, the average cost per episode was USD 48.10 (SD = 3.22). The highest costs (USD 56.61, SD = 48.84) were incurred in the adult age group (> 15 years), and the lowest costs (USD 30.10, SD = 17.27) were incurred in the paediatric age group (< 15 years).