OBJECTIVE: In Pakistan, traditional medicines are an important component of the medical system, with numerous varieties and great demands. However, due to the scattered resources and the lack of systematic collection and collation, adulteration of traditional Pakistani medicine (TPM) is common, which severely affects the safety of their medicinal use and the import and export trades. Therefore, it is urgent to systematically organize and unify the management of TPM and establish a set of standards and operable methods for the identification of TPM. METHODS: We collected and organized the information on 128 TPMs with regard to their medicinal parts, efficacy, usage, and genetic material, based on Pakistan Hamdard Pharmacopoeia of Eastern Medicine: Pharmaceutical Codex. The genetic information of TPM is summarized from national center for biotechnology information (NCBI) and global pharmacopoeia genome database (GPGD). Furthermore, we utilized bioinformatics technology to supplement the chloroplast genome (cp-genome) data of 12 TPMs. To build the web server, we used the Linux + Apache + MySQL + PHP (LAMP) system and constructed the webpage on a PHP: Hypertext Preprocessor (PHP) model view controller (MVC) framework. RESULTS: We constructed a new genomic database, the traditional Pakistani medicine genomic database (TPMGD). This database comprises five entries, namely homepage, medicinal species, species identification, basic local alignment search tool (BLAST), and download. Currently, TPMGD contains basic profiles of 128 TPMs and genetic information of 102 TPMs, including 140 cytochrome c oxidase subunit I (COI) sequences and 119 mitochondrial genome sequences from Bombyx mori, 1 396 internal transcribed spacer 2 (ITS2) sequences and 1 074 intergenic region (psbA-trnH) sequences specific to 92 and 83 plant species, respectively. Additionally, TPMGD includes 199 cp-genome sequences of 82 TPMs. CONCLUSION TPMGD is a multifunctional database that integrates species description, functional information inquiry, genetic information storage, molecular identification of TPM, etc. The database not only provides convenience for TPM information queries but also establishes the scientific basis for the medication safety, species identification, and resource protection of TPM.

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Objective To explore the effect of continuing nursing care based on narrative family therapy for elderly patients with post-stroke cognitive impairment non-dementia (PSCIND). Methods One hundred elderly patients with PSCIND were firstly diagnosed in Sandun Hospital District of Zhejiang Hospital from January to December 2017, the patients discharged between January and June were set as a control group, and the patients discharged between July and December were arranged in an experimental group, 50 cases in each group. Finally, 46 cases in control group and 48 cases in experimental group completed the study. The control group was given routine continuing nursing; while the experimental group was given continuing nursing based on narrative family therapy. The differences of Montreal Cognitive Assessment Scale (MoCA), Modified Barthel Index (MBI) score and Caregiver Load Scale (ZBI) score between the two groups after 12 weeks of intervention were compared. Results There were no statistical significant differences in the scores of MoCA, MBI and ZBI between the two groups before intervention (all P > 0.05). After intervention, the MoCA score of experimental group was significantly higher than that of control group (24.61±2.03 vs. 22.98±2.34, P < 0.05), and the ZBI score was obviously lower than that of control group (34.89±7.12 vs. 38.17±6.53, P < 0.05). But, there was of no statistical significant difference in MBI score between experimental group and control group (54.65±6.32 vs. 52.33±7.36, P < 0.05). Conclusion Narrative family therapy in continuing nursing care can effectively improve the cognitive function of elderly patients with PSCIND and reduce the burden of caregivers.