Objective: To construct the public health performance evaluation index system for the county medical community, so as to provide reference for the assessment of the public health work in the county medical community. Methods: According to the 2019 Public Health Tasks of Zhejiang Province and the current status of the county medical community's public health work, a framework was developed. Twenty experts from universities, CDCs, and county medical community were invited to construct the index system after two rounds of Delphi expert consultation, and the index weight was determined by the analytic hierarchy process. Results : The experts aged ( 46.10±6.41 ) years and worked for ( 23.85±7.37 ) years, all of whom had a bachelor degree or above, and 18 had associate senior titles or above. The response rates of two rounds of consultation was both 100.00%; the authority coefficient was 0.811; the values of Kendall's W all had statistical significance ( P<0.05 ) , which in the second round were higher than those in the first round. The public health performance evaluation index system for county medical community finally included 10 first-level indexes, among which priority diseases surveillance and management weighed most ( 0.165 7 ) ; 32 second-level indexes, among which food-borne diseases surveillance, infectious diseases/public health emergencies reporting and infectious diseases/public health emergencies response weighed the top three ( 0.071 5, 0.064 7, 0.063 8 ); 120 third-level indexes, among which the timely reporting rate of food safety incidents, the reporting rate of infectious diseases and the information response rate of infectious diseases/public health emergencies weighed the top three ( 0.039 4, 0.022 1, 0.021 7 ). Conclusion The public health performance evaluation index system of the county medical community has been established, which can provide reference for the health administrative departments.

OBJECTIVE: To screen new serum metabolic biomarkers for different drug resistance profiles of pulmonary tuberculosis (TB) and explore their mechanisms and functions. METHODS: We collected serum samples from TB patients with drug sensitivity (DS), monoresistance to isoniazid (MR-INH), monoresistance to rifampin (MR-RFP), multidrug resistance (MDR), and polyresistance (PR). The metabolites in the serum samples were extracted by oscillatory and deproteinization for LC-MS/MS analysis, and the results were normalized by Pareto-scaling method and analyzed using Metaboanalyst 4.0 software to identify the differential metabolites. The differential metabolites were characterized by function enrichment and co-expression analysis to explore their function and possible pathological mechanisms. RESULTS: Compared with the DS group, 286 abnormally expressed metabolites were identified in MR-INH group, 362 in MR-RPF group, 277 in MDR group and 1208 in PR group by LC-MS/MS analysis. Acetylagmatine ( < 0.05), aminopentol ( < 0.05), and tetracosanyl oleate ( < 0.05) in MR-INH group; Ala His Pro Thr ( < 0.001) and glycinoprenol-9 ( < 0.05) in MR-RFP group; trimethylamine ( < 0.05), penaresidin A ( < 0.05), and verazine ( < 0.05) in MDR group; and PIP (18:1(11Z)/ 18:3(6Z, 9Z, 12Z)) ( < 0.001), Pro Arg Trp Tyr ( < 0.001), N-methyldioctylamine ( < 0.001), and phytolaccoside E ( < 0.05) in PR group all showed significant differential expressions. Significant differential expressions of phthalic acid mono-2-ethylhexyl ester ( < 0.05) and eicosanoyl-EA ( < 0.05) were found in all the drug resistant groups as compared with DS group. CONCLUSIONS Acetylagmatine, aminopentol, tetracosanyl oleate, Ala His Pro Thr, glycinoprenol-9, trimethylamine, penaresidin A, verazine, PIP(18:1(11Z)/18:3(6Z, 9Z, 12Z)), Pro Arg Trp Tyr, N-methyldioctylamine, phytolaccoside E, phthalic acid mono-2-ethylhexyl ester, and eicosanoyl-EA are potentially new biomarkers that indicate monoresistance, multi-drug resistance and polyresistance of Mycobacterium tuberculosis. The combined use of these biomarkers potentially allows for assessment of drug resistance in TB and enhances the diagnostic sensitivity and specificity.
Biomarkers ; Chromatography, Liquid ; Humans ; Tandem Mass Spectrometry ; Tuberculosis, Multidrug-Resistant ; Tuberculosis, Pulmonary