Journal of Drug Designing & Development is an interdisciplinary, peer reviewed open access journal that brings out most current research in fields related of Drug Design, Research focusing upon drug designing methodologies, new drugs developments in chemical and biological research. NAPDD welcomes author to submit their articles in this multidisciplinary field, ranging from Drug Designing, Drug Development, Drug Discovery and it also, publishes articles related to medicinal chemistry, pharmacology, drug delivery systems, pharmacokinetics and pharmacodynamics, drug absorption and metabolism, pharmaceutical and biomedical analysis, including gene delivery, pharmaceutical biotechnology, drug targeting, pharmaceutical technology, and clinical drug evaluation. Authors are welcome to submit in any format like research, review opinions, new, short communication, mini review, perspective, commentary, etc. 

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Traditional herbal medicines are used to combat various ailments throughout the world. They are used as therapeutics in developing countries, while as a complementary or alternative treatments in many developed countries. In spite of their extraordinary potential and excellent in vitro activities, many herbal drugs and natural products have limited therapeutic actions on oral administration. Novel drug delivery systems with the application of various nanotechnology tools can solve the problems associated with solubility, instability and bioavailability of herbal medicines and natural products. In this minireview, limitations with traditional herbal medicines for oral administration and ways to improve their bioavailability and bioactivity have been briefly described.

 

Objective: To explore the predictive factors of the first dose of IVIG resistance in children with Kawasaki disease.

Methods: The clinical data of 301 children with KD were retrospectively analyzed. They were divided into IVIG insensitive group and IVIG sensitive group. The basic data and laboratory indexes of the two groups were compared. The risk factors of IVIG resistance were determined by binary logistic regression analysis and receiver operating characteristic curves (ROC curves) were constructed to determine the optimal predictive threshold value of the risk factors and the corresponding sensitivity and specificity.

Results: Neutrophil ratio (N%), basophil ratio (B%), alanine aminotransferase (ALT), aspartate aminotransferase (AST), Procalcitonin

(PCT) levels are higher in the IVIG insensitive group compared with the IVIG sensitive group (P<0.05) and lymphocyte ratio (L%), monocyte

ratio (M%), hematocrit (HCT), mean erythrocyte hemoglobin amount (MCH), creatine kinase (CK), sodium concentration (Na+) levels are lower

(P<0.05). Binary logistic regression analysis shows that AST and PCT are independent risk factors for IVIG resistance. AST≥29.5U/L holds the

highest sensitivity and specificity for predicting IVIG resistance, which were 91.7% and 64.4%, respectively. PCT≥1.70ng/ml predicts the highest

efficacy of IVIG resistance, and the corresponding sensitivity and specificity are 91.7% and 62.3%, respectively.