1.A survey on distribution and drug resistance of pathogens causing nosocomial infection in general intensive care unit
Haifeng LIU ; Zhujiang ZHOU ; Jingqing HU ; Nina HUANG ; Wenzhao CHEN ; Ruiqiu ZHU ; Jianhai LU ; Yanhe CHEN ; Jiahui MAI ; Yongpeng SU
Chinese Journal of Integrated Traditional and Western Medicine in Intensive and Critical Care 2015;(4):382-385
Objective To investigate the distribution and drug resistance of pathogens in intensive care unit (ICU) so as to provide scientific basis for antibiotic adoption and the prevention and control of nosocomial infections. Methods The various specimens collected from the patients admitted into ICU in the First People's Hospital of Shunde Affiliated to the South Medical University from January 2007 to December 2014 were used to isolate the pathogens that might cause nosocomial infections and retrospectively analyze their clinical distribution and drug resistance. Kirby-Bauer paper diffusion and minimal inhibitory concentration (MIC) methods were applied to test the drug sensitivity, and according to National Committee for Clinical Laboratory Standards/Clinical and Laboratory Standards Institute (NCCLS/CLSI) standard, the results were identified.Results The sputum was the major specimen source in ICU, accounting for 68.8%, followed by urine (12.4%) and blood (6.8%). All together 557 pathogens in ICU causing nosocomial infections were isolated of which there were 377 gram-negative (G-) bacilli (67.7%), 103 gram-positive (G+) cocci (18.5%), and 77 fungi (13.8%). Among G- bacilli, the top three wereAcinetobacter baumannii (34.5%), Klebsiella pneumonia (17.8%), andPseudomonas aeruginosa (13.0%). Beside carbapenem, the drug resistance rates of Acinetobacterbaumannii to other antibiotics were more than 40%. The main G+ coccus causing nosocomial infection wasSaphylococcus aureus (36.9%) in ICU. The drug resistance rates ofSaphylococcus aureus to penicillin, gentamicin and erythromycin were higher than 50%. In 77 fungus strains,Candida albicans was ranked the first, accounting for 41.6%.Conclusion The main infection site in ICU is primarily respiratory tract, the G- bacilli are the predominate pathogens, and the drug resistance to antibiotics found in this report is serious, so clinically, the antibiotics should be properly used to avoid the occurrence of pathogenic strain with drug tolerance.
2. Clinical outcomes of cervical disc herniation treated by posterior percutaneous endoscopic cervical discectomy
Bolai CHEN ; Yongjin LI ; Yongpeng LIN ; Yanxin DU ; Shuai ZHAO ; Guoyi SU
Chinese Journal of Surgery 2017;55(12):923-927
Objective:
To evaluate the clinical outcomes of posterior percutaneous endoscopic cervical discectomy (PPECD) for cervical disc herniation.
Methods:
A total of 23 patients who underwent PPECD for cervical disc herniation at Department of Spine Surgery, Guangdong Provincial Hospital of Chinese Medicine from August 2014 to April 2016 were reviewed. The mean age of the 17 males and 6 females was 49.5 years (range from 31 to 61 years). All patients had unilateral upper limb radiating symptoms, 13 patients with right upper limb radiating pain and 10 patients with left upper limb radiation pain, 17 patients with neck pain symptoms. Responsible segment: left C4-5 1 case, right C4-5 2 cases, left C5-6 4 cases, right C5-6 8 cases, left C6-7 5 cases, right C6-7 3 example.Operating time, length of hospitalization, complications, neck and arm Visual analog scale(VAS), and Neck Disability Index(NDI) were evaluated. The excellent and good rate of surgery was evaluated by using the Odom criteria. Harrison method was used to measure cervical curvature. The Cobb angle of the surgical segment was measured on the X-ray, and the range of motion (ROM) was calculated. The changes of the cervical curvature and the surgical segment ROM were compared pre- and post-operation.
Results:
The operation time was 94.1 min (range from 80 to 150 min). The average length of hospital stay was 4.8 days. The mean follow-up period was 23.5 months (range from 15 to 35 months). The preoperative arm VAS score was 6.95±0.88, 1-week postoperative arm VAS score was 2.09±0.67, the last follow-up arm VAS score was 1.04±0.98. The preoperative neck VAS score was 3.04±0.77, 1-week postoperative neck VAS score was 1.52±0.51 and the last follow-up neck VAS score was 0.61±0.78. The 1-week postoperative and last follow-up arm and neck VAS scores were significantly reduced compared with pre-operation (