Résumé
Objectives@#Patients undergoing oral surgery exhibit high anxiety, which may elevate their cortisol levels and affect postoperative recovery. Overweight patients are often encountered in the dental clinic due to the increasing prevalence of overweight. We aimed to investigate the relationships between preoperatively assessed body mass index (BMI), serum cortisol and high-sensitivity C-reactive protein (hs-CRP) levels, and visual analog scale (VAS) scores and preoperative anxiety in patients undergoing mandibular third molar (MM3) extraction and to identify predictors of postoperative complications. @*Patients and Methods@#We analyzed 43 patients (age, 20-42 years) undergoing MM3 extraction. At the first visit, patients completed the Modified Dental Anxiety Scale (MDAS) and Amsterdam Preoperative Anxiety and Information Scale (APAIS) questionnaires. Their BMI and VAS scores were also calculated. The participants underwent blood tests 1 hour before MM3 extraction. On the first postoperative day, the participants’ VAS scores and serum hs-CRP levels were reevaluated. @*Results@#We found that BMI was significantly correlated with preoperative VAS scores. Further, BMI and preoperative hs-CRP levels were significantly correlated among women and patients undergoing extractions of fully impacted MM3s. No correlations were found between serum cortisol and other variables. The preoperative MDAS and VAS scores were significantly positively correlated, especially among patients undergoing extractions of fully impacted MM3s. Multiple linear regression showed that BMI and the eruption status of the MM3 were significant predictors of postoperative hsCRP levels and VAS scores, respectively. @*Conclusion@#In MM3 removals, patients with higher BMI showed elevated hs-CRP and higher VAS scores before surgery. Patients with higher anxiety among those undergoing extractions of fully impacted MM3s showed higher preoperative VAS scores. The two main predictors of postoperative complications were BMI and MM3 eruption status.
Résumé
Objective Analyzing the distribution of 1476 strains of clinical common pathogens and their antimicrobial resistance, provide reference the reasonable use of antimicrobial drugs for clinical.Methods Using BD company PHOEIX-100 Automatic Pathogen Identification to Pathogen identify 1476 strains of pathogens which were got from the various isolated and cultivated samples which were examined from 2009 January to 2010 August and its antibacterial Drug Susceptibility Test, then with WHONET5. 3 system to analyze monitoring data of the pathogen distribution and resistance. Results In 1476 strains of pathogens isolated, gram-negative bacteria had 1206 strains occupying 81.7% ; Gram-positive cocci had 270 stains occupying 18. 3%. The most common detected pathogen were Escherichia coli, Klebsiella pneumoniae,Staphylococcus aureus and Pseudomonas aeruginosa, which accounted for 20. 2% ,17. 5% ,13. 2% ,11.4%.The ESBLs producing E. coli and K. pneumoniae accounted for 65. 9% ,48. 1% ; Also methicillin-resistant S. aureus (MRSA) accounted for 79. 2% and methicillin-resistant coagulase-negative staphylococci (MRCNS) accounted for 68.4%. It isnt found yet that grape genus to vancomycin, nitrofurantoin can resist drug.Gram-negative bacilli to antimicrobial vinyl hydrocarbon mold degree of sensitivity is high. Conclusion The isolated pathogen's resistance of drug is widespread. It is important to guide clinical reasonable use of antibiotics and control infectious pathogens that carry out continuous monitoring of drug resistance.