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Objective:To investigate the influencing factors of surgical site infection (SSI) after abdominal surgery.Methods:The retrospective cross-sectional study was conducted. The clinical data of 567 patients undergoing abdominal surgery in 6 medical centers, including 445 cases in the Zhengzhou Central Hospital Affiliated to Zhengzhou University, 54 cases in the the First Affiliated Hospital of Zhengzhou University, 49 cases in the Shangqiu First People's Hospital, 10 cases in the Luoyang Central Hospital, 5 cases in the First Affiliated Hospital of Henan University of Science and Technology and 4 cases in the Henan Provincial People's Hospital, from June 1 to June 30, 2020 were collected. There were 284 males and 283 females, aged (51±18)years. Observation indicators: (1) incidence of SSI after surgery; (2) influencing factors of SSI. Follow-up was conducted using outpatient examination and telephone interview to detect the incidence of SSI. Patients without implant were followed up within postoperative 30 days, and patients with implant were followed up within postoperative 1 year. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was conducted using the independent sample t test. Measure-ment data with skewed distribution were represented as M(range), and comparison between groups was conducted using the Mann-Whitney U test. Count data were described as absolute numbers or percentages, and comparison between groups was performed using the chi-square test or Fisher exact probability. Univariate analysis was performed using the corresponding statistical methods. Multivariate analysis was performed using the Logistic stepwise regression model advance method. Results:(1) Incidence of SSI after surgery. All the 567 patients were followed up after surgery as planned. There were 27 cases with SSI after surgery including 9 cases with superficial incision infection, 9 cases with deep incision infection, 9 cases with organ/gap infection. Of the 27 cases with SSI after surgery, 18 cases with positive results of incisional microbial culture including 8 cases with positive results of Escherichia coli, 6 cases with positive results of Klebsiella pneumonia, 3 cases with positive results of Enterococcus faecium and 1 case with positive result of Pseudomonas aeruginosa. (2) Influencing factors of SSI. Results of univariate analysis showed that age, preoperative hemoglo-bin, preoperative albumin, preoperative fasting blood glucose, preoperative intestinal preparation, surgical type, surgical site, surgical incision type, duration of intensive cure unite, duration of post-operative hospital stay, duration of total hospital stay, operation time, hospital expense were related factors affecting the incidence of SSI of patients undergoing abdominal surgery ( χ2=40.12, Z=?4.22, ?2.21, ?4.75, χ2=7.07, 16.43, 38.06, 17.50, Z=?4.43, ?4.42, ?7.14, ?7.15, ?5.90, P<0.05) and the American Association of Anesthesiologists Classification, preoperative oral antibiotics, surgical methods and postoperative intensive care unit stay were related factors affecting the incidence of SSI of patients undergoing abdominal surgery ( P<0.05). Results of multivariate analysis showed that age, preopera-tive fasting blood glucose, preoperative intestinal preparation, surgical type, surgical site as appendix and rectum, surgical methods, surgical incision type as infective incision and polluted incision, operation time were independent factors affecting the incidence of SSI of patients undergoing abdo-minal surgery ( odds ratio=7.69, 1.21, 0.27, 5.82, 5.19, 19.08, 0.23, 27.76, 4.97, 1.01, 95% confidence intervals as 2.04?28.95, 1.04?1.41, 0.08?0.94, 1.36?24.85, 1.10?24.43, 4.48?81.25, 0.06?0.87, 2.54?303.53, 1.12?22.14, 1.01?1.02, P<0.05). Conclusion:Age, preoperative fasting blood glucose, preoperative intestinal preparation, surgical type, surgical site as appendix and rectum, surgical methods, surgical incision type as infective incision and polluted incision, operation time are independent factors affecting the incidence of SSI of patients undergoing abdominal surgery.
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Objective To establish an HPLC method for simultaneous separation and determination of chlorogenic acid, quercetin and kaempferol inPyrrosia lingua (Thumb.) Farwell. Methods The separation was performed on Phenomenex C18 column (250 mm×4.6 mm, 5μm) with the mobile phase of methanol-acetic acid (pH=3.0) solution and gradient elution. Flow rate was 1.0 mL/min;the UV detection wavelength was 254 nm;column temperature was 35℃.Results The calibration curves for chlorogenic acid, quercetin, and kaempferol were in good linearity in the range of 0.000 24-3.00μg (r=0.999 9), 0.000 16-2.00μg (r=0.999 9), and 0.000 16-2.00μg (r=0.999 9), respectively. The limits of detection (S/N=3) were 3.29, 0.43 and 0.33 ng/mL, respectively. The average recovery rates were 97.73%, 98.07% and 96.92%, respectively. ConclusionThe method is simple, precise and sensitive. It provides scientific proof for separation and determination of chlorogenic acid, quercetin and kaempferol inPyrrosia lingua (Thumb.) Farwell.
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Objective To develop a sensitive and specific HPLC method to simultaneously determine the contents of puerarin, daidzin and daidzein in Puerariae Lobatae Radix. Methods The three compounds were obtained by ionic liquid based on dispersive liquid phase microextraction. The determination was carried out on a Phenomenex C18 column (250 mm×4.6 mm, 5μm) with a mixture of methanol-0.2%acetic acid (volume ration 45∶55) as mobile phase at a flow rate of 0.8 mL/min. The UV detective wavelength was 250 nm, and the column temperature was set at 35 ℃. Results The linear response ranged from 6.24×10-6-37.44 μg for puerarin (r=0.999 71), 5.44×10-6-27.20μg for daidzin (r=0.999 85), and 5.60×10-6-28.00μg for daidzein (r=0.999 94), respectively. Conclusion The method is quick, simple and repeatable for simultaneous determination of the contents of puerarin, daidzin and daidzein in Puerariae Lobatae Radix.
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Objective To isolate and determine Aloin and Aloeemodin in Barbodos Aloe by ionic liquid-based ultrasonic-assisted extraction coupled with high performance liquid chromatography, with 1-butyl-3-methylimidazolium chloride ([BMIM]Br) solution as the extraction solvent. Methods The separation was performed on Phenomenex C18 column (250 mm×4.6 mm, 5 μm) with detection wavelength of 360 nm. The mobile phase was consisted of methanol-0.3% acetic acid solution (65∶35) with the flow rate of 0.80 mL/min, and the column temperature at 35 ℃. Results The calibration curves for Aloin and Aloeemodin were liner within 0.000 336-1.68 μg (r=0.999 96) and 0.000 608-3.04 μg (r=0.999 76), respectively. The limit of detection (LOD) was 0.05 06 ng/mL and 0.262 ng/mL, respectively. The average recovery was 95.99% and 95.80%, respectively. Conclusion The method is simple, rapid, accurate, sensitive, low cost and environment-friendly, thus it provides an effective means for assaying anthraquinones in Barbodos Aloe.