Chromatography, High Pressure Liquid ; methods ; Humans ; Neonicotinoids ; Pyridines ; blood

Chromatography, Gas ; methods ; Humans ; Paraquat ; analogs & derivatives ; blood

Humans ; Laparoscopy ; Proctectomy ; Rectal Neoplasms/surgery* ; Rectum/surgery* ; Transanal Endoscopic Surgery

Integrative Medicine ; education ; Internal Medicine ; education

Cardiovascular System ; GATA4 Transcription Factor ; metabolism ; Humans

Abstract: Objective To understand the distribution and drug resistance of pathogenic bacteria of bloodstream infection in Fujian Province, and to provide reference for clinical rational drug use. Methods Bacteria identification and antimicrobial susceptibility test were carried out on the isolated strains of blood culture samples in 31 medical institutions in Fujian Province according to the unified plan. The data were statistically analyzed by WHONET 5.6 software according to the Clinical and Laboratory Standards Institute (CLSI) drug sensitivity executive standard in 2021. Results After removing the duplicate strains, 10 356 strains of bacteria were collected, including 3 668 strains of Gram-positive bacteria (35.4%) and 6 688 strains of Gram-negative bacteria (64.6%). The top 5 bacteria are Escherichia coli, Klebsiella pneumoniae, coagulase negative Staphylococcus, Staphylococcus aureus and Pseudomonas aeruginosa. In this study, the detection rate of methicillin-resistant Staphylococcus aureus (MRSA) was 24.5%, and the detection rate of methicillin-resistant coagulase-negative Staphylococcus aureus (MRCNS) was 76.8%. Vancomycin, teicoplanin and linezolid resistant staphylococci were not found. The detection rate of penicillin resistant Streptococcus pneumoniae was 3.2%. Vancomycin resistant Enterococcus faecalis and Enterococcus faecium were 0.8% and 1.1% respectively. The resistance rate of Escherichia coli to carbapenems was 0.8%, and the resistance rate to levofloxacin was 41.9%; the resistance rate of Klebsiella pneumoniae to carbapenems was 15.0%. The resistance rate of Acinetobacter baumannii to carbapenems was 45.1%; the detection rate of Pseudomonas aeruginosa was only 14.2%, and it maintained a high sensitivity to most drugs. Conclusions Most bloodstream infections in Fujian Province are caused by Escherichia coli, Klebsiella pneumoniae and Staphylococcus. The drug resistance of some strains is not optimistic, so we should continue to strengthen the clinical application management of antibiotics and use them correctly and reasonably. Keywords: Bloodstream infection; bacteria; antibiotics; drug resistance monitoring

Anti-Bacterial Agents ; therapeutic use ; Antitubercular Agents ; therapeutic use ; Coal Mining ; Drug Therapy, Combination ; Follow-Up Studies ; Humans ; Male ; Ofloxacin ; therapeutic use ; Pneumoconiosis ; complications ; Silicotuberculosis ; drug therapy

The aim of this paper is to apply Raman spectroscopy technique to develop rapid quantitative models for five kinds of Traditional Chinese Medicine containing CaCO3. In the experiment, Raman spectras of 67 batch of sample including Otolithum Sciaenae, Galaxeae Os, Ophicalcitum, Calcite, Stalactite and their mixture which had different content of CaCO3 were collected, and the quantitative models were established by using an improved siPLS to optimize the characteristic spectral bands and using the CaCO3 contents which were measured by EDTA titration method as references. Compared with the results by EDTA titration, the established quantitative model for CaCO, content showed a prediction result that the average relative deviation of the prediction results is 2. 71% and the average recovery rate was 100.46%, when the content is between 0.465 4-0.999 7, and when the characteristic spectral bands of 1 290-1 280, 730-714, 700-690, 660-650, 465-460, 455-445, 405-385 cm(-1) had been optimized. The result also showed that the model using Raman spectroscopy and based on an improved siPLS can get a rapid determination for contents of 5 kinds of Traditional Chinese Medicine containing CaCO3.
Calcium Carbonate ; chemistry ; Drugs, Chinese Herbal ; chemistry ; Least-Squares Analysis ; Models, Statistical ; Plants, Medicinal ; chemistry ; Spectrum Analysis, Raman ; methods

The aim of this paper is to clarify the mineral origin of traditional Chinese medicine (TCM) Yangqishi and Yinqishi and guide identification of the both, by X-ray diffraction (XRD) Fourier patterns. Morphological identification and conventional physical and chemical analysis wee used to identify 22 batches of Yangqishi and Yinqishi. It used XRD Fourier patterns which has been collected from sample powders to analyze phase composition. It has been found experimentally that the mineral origin of Yinqishi is Talc schist and the mineral origin of Yangqishi is tremolite and actinolite. The results also showed that the method using XRD can get not only an accurate but also rapid identification of Yangqishi and Yinqishi. There are many differences in medicinal properties, efficacy, indications and composition of Yangqishi and Yinqishi, so be careful not to mix them up.
Asbestos, Amphibole ; chemistry ; Drugs, Chinese Herbal ; chemistry ; X-Ray Diffraction