目的 探索胸部CT值在胸腔积液鉴别诊断的价值。方法 81例胸腔积液患者纳入本研究,胸腔积液分为渗出液、漏出液、恶性胸腔积液及良性胸腔积液。建立平均CT值的ROC曲线,计算曲线下面积。结果 81例胸腔积液患者中59例为渗出液,22例为漏出液;恶性胸腔积液33例,良性胸腔积液48例。渗出液组平均CT值(16.68±6.76)Hu高于漏出液组(5.50±3.42)Hu(P<0.000 1)。ROC曲线分析结果显示,胸腔积液平均CT值对区分渗出液和漏出液具有较高的准确性(曲线下面积为0.944 5)。当最佳界值为≥9.99 Hu时,其敏感度为88.14%,特异度为90.91%;恶性胸腔积液组平均CT值(15.38±7.29)Hu与良性胸腔积液组平均CT值(12.45±8.03)Hu没有差异(P=0.098 1)。结论 在胸腔积液的鉴别诊断过程中,胸部CT的CT值在鉴别漏出液及渗出液中有一定的价值,但尚不能用于鉴别良性及恶性胸腔积液。

Objective To explore the value of chest CT value in the differential diagnosis of pleural effusion. Methods A total of 81 patients with pleural effusion were included in this study, including exudate, transudate, malignant pleural effusion and benign pleural effusion.The ROC curve of average CT value was established and the area under the curve was calculated. Results Among 81 patients with pleural effusion, 59 cases were exudative, 22 cases were transudative, 33 cases were malignant pleural effusion and 48 cases were benign pleural effusion.The mean CT value of the exudate group, (16.68±6.76) Hu, was significantly higher than (5.50±3.42) Hu of the transudate group (P<0.000 1).ROC curve analysis showed that the mean CT value of pleural effusion had high accuracy in distinguishing exudate from transudate (area under the curve was 0.9445).When the cut-off value for exudative effusion was over 9.99 Hu, the sensitivity and specificity were 88.14% and 90.91%, respectively.The mean CT value of malignant pleural effusion group, (15.38±7.29) Hu, was not significantly different from (12.45±8.03) Hu of benign pleural effusion group (P=0.098 1). Conclusions In the differential diagnosis of pleural effusion, the chest CT value can be used to identify transudate and exudate, but not benign and malignant pleural effusion.

目的 本研究对广州地区5家教学医院的鲍曼不动杆菌进行分子流行病学分析。方法 5家教学医院共采集138株鲍曼不动杆菌,利用多位点序列分型(multilocus sequence typing,MLST)及eBURST算法评价菌株之间的遗传关系。结果 MLST将138株鲍曼不动杆菌分为8个已有序列类型(STs),分别为ST195、ST208、ST457、ST136、ST254、ST548、ST445和ST53,还发现17个新STs。其中ST195的数量最多,占所有分离株的35.5%(49/138),其次为ST208,占所有分离株的21.0%(29/138)。eBURST算法分析显示以ST195为预测祖先型的克隆复合体(clonal complex, CC) 195在医院环境中广泛传播。结论 鲍曼不动杆菌CC195是广州地区的流行克隆,各家医疗机构应根据其自身实际制定感染防控策略。

Objective We analyzed the molecular epidemiology of A.baumannii isolated from 5 teaching hospitals in Guangzhou to identify the epidemic clone in this area. Methods A total of 138 strains of A.baumannii were collected from 5 teaching hospitals, and the genetic relationship was evaluated by multilocus sequence typing (MLST) and eBURST algorithm. Results MLST divided 138 strains of A.baumannii into 8 existing sequence types (STs), namely ST195, ST208, ST457, ST136, ST254, ST548, ST445 and ST53, and 17 new STs. Among them, ST195 had the largest number, accounting for 35.5% (49/138) of all isolates, followed by ST208, accounting for 21.0% (29/138) of all isolates. eBURST algorithm showed that the clonal complex (CC) 195, the predicted founder ST195, was widely spread in the hospital environment. Conclusion A.baumannii CC195 was an epidemic clone in Guangzhou area. Medical institution should develop infection prevention and control strategies according to its own actual conditions.

目的 分析2011—2016年间铜绿假单胞菌分离株的耐药性及变迁情况, 为临床合理用药提供科学依据。方法 对2011年1月—2016年12月广州市第一人民院患者各类标本中分离到的铜绿假单胞菌2 257株进行细菌鉴定及药敏试验,并对耐药性变迁进行统计分析。结果 铜绿假单胞菌在痰液标本中的检出率最高为56.9％;6年铜绿假单胞菌平均耐药率以妥布霉素最低,为9.9%,对哌拉西林/他唑巴坦、头孢吡肟、头孢他啶、左氧氟沙星、环丙沙星、亚胺培南、庆大霉素等药物的耐药率均＜20%,在2013年耐药率最低,此后三年逐年上升。结论 铜绿假单胞菌对广州市第一人民院常用抗生素的耐药率在近3年呈逐年上升趋势, 临床医师应根据药敏结果合理选择抗菌药物, 以提高疗效和减缓耐药菌的产生。

Objective To analyze the changes of drug resistance of Pseudomonas aeruginosa (Pae) and to provide basis for the use of antibiotics in clinic. Methods 2 257 strains of Pae were cultured and isolated in the First People Hospitalof Guangzhou from 2011 to 2016, API bacterial identification system was applied to carry out bacterial identification and K-B method was used for drug sensitivity analysis. Results Most of the Pae (56.9％) were detected from the sputum specimen. It showed the highest sensitivity to tobramycin. The drug resistance of Pae to piperacillin/tazobactam, cefepime, ceftazidime, levofloxacin, ciprofloxacin, imipenem and gentamicin in 2013 was the lowest and has been increasing year by year. Conclusion Pseudomonas aeruginosa isolated in our hospital showed a rising trend of clinical drug resistance in the past three years. It was of the top priority for clinicians to use antibiotics rationally to retard the production of drug resistant strains.

目的 探讨及比较CURB-65、PSI、SMART-COP及APACHEⅡ 4种临床评分对重症社区获得性肺炎(SCAP)患者的早期诊断价值。方法 采用前瞻性研究方法,收集2011年10月—2014年2月广州市第一人民医院呼吸内科收治的67例SCAP及同期33例普通CAP患者的临床资料,记录入组后24小时内CURB-65、PSI、SMART-COP及APACHEⅡ评分的最差值,比较4种临床评分系统对SCAP的早期诊断价值。结果 SCAP组CURB-65、PSI、SMART-COP及APACHEⅡ评分均高于普通CAP组患者[CURB-65(分):3.06±1.10 比0.85±0.79,P<0.001;PSI(分):144.93±36.48比73.94±27.17,P<0.001; SMART-COP(分):6.54±1.41比 1.67±1.02,P<0.001; APACHEⅡ(分):20.79±5.69比7.94±3.87,P<0.001]。CURB-65≥3分、PSI≥130分、SMART-COP≥3分及APACHEⅡ≥15分诊断SCAP的受试者工作特征曲线(ROC)下面积(AUC)分别为0.940[95% CI:0.89~0.98, P<0.001],0.933[95%CI:0.88~0.97,P<0.001],0.999[95%CI:0.99~1.0,P<0.001],0.976[95%CI:0.95~0.99,P<0.001],敏感度分别为65.6%、71.6%、100%、88.1%,特异度分别为100%、100%、78.7%、93.9%。结论 CURB-65及PSI评分特异度好,但敏感度低,易漏诊,SMART-COP和APACHE Ⅱ评分诊断效能更佳。

Objective To evaluate and compare the early diagnosis value of CURB-65,PSI,SMART-COP and APACHEⅡin patients with severe community-acquired pneumonia. Methods This was a prospective study conducted in department of respiratory in Guangzhou First People's Hospital. We included 67 SCAP patients and 33 CAP patients between October of 2011and February of 2014. The lowest scores within 24 hours of CURB-65 score,PSI score,SMART-COP score,APACHE Ⅱ score,respectively,for each patients were recorded. Prediction of SCAP as made in four scoring systems was compared. Results CURB-65 score,PSI score,SMART-COP score,APACHE Ⅱ score were higher in SCAP as compared with that of CAP(CURB-65:3.0±1.1 vs 0.9±0.8,P<0.001;PSI:144.6±36.4 vs 73.9±27.1,P<0.001; SMART-COP:6.5±1.4 vs 1.6±1.0,P<0.001; APACHEⅡ:20.6±5.6 vs 7.9±3.8,P<0.001). ROC curve for CURB-65 score≥ 3 scores,PSI score≥ 130 scores,SMART-COP score≥3 scores and APACHE Ⅱ score ≥ 15 scores in the early diagnosis SCAP were 0.940[95%CI:0.89~0.98,P<0.001],0.933[95%CI:0.88~0.97,P<0.001],0.999[95%CI:0.99~1.0,P<0.001],0.976[95%CI:0.95~0.99,P<0.001]. Sensitivity of four kinds of scoring system was 65.6%,71.6%,100%,88.1%, with specificity of 100%,100%,78.7%,93.9% respectively. Conclusion The specificity of diagnosis was better in the CURB-65 and PSI score,but the sensitivity was low and easy to miss diagnosis. SMART-COP and APACHEⅡscore systems had a better diagnostic value on SCAP.

目的 探讨磷酸二酯酶4抑制剂对人肺泡巨噬细胞(AM)吞噬非生物性颗粒及革兰阳性菌、阴性菌能力的影响。方法 使用Ficolll-Hypaque密度梯度法将外周血单核细胞分离的静脉血,在含有2 ng/m GM-CSF的培养液中经12天诱导培养成AM替代细胞模型—单核细胞源性巨噬细胞(MDM)。用酶标仪检测MDM经磷酸二酯酶4抑制剂Rolipram预处理过夜(16~18 h)后吞噬荧光标记的非生物颗粒Beads和热灭活的流感嗜血杆菌(H.influenzae)、金黄色葡萄球菌(S.aureus)量的改变,另使用MTT法检测细胞活性。结果 成功建立的MDM细胞模型对Beads和细菌的吞噬呈时效关。Rolipram在实验浓度(10^~8~10^-5 M)下对MDM吞噬Beads、H.influenzae和S.aureus能力无明显促进或抑制作用,也不影响MDM的活性。结论 磷酸二酯酶4抑制剂不会因升高巨噬细胞内cAMP水平而影响其吞噬非生物颗粒和细菌的能力。

Objective To investigate the influence of phosphodiesterases 4 inhibitor on the phagocytosis of non-biological particles and gram-positive bacteria, gram-negative bacteria by human alveolar macrophages. Methods Peripheral blood mononuclear cells (PBMCs) were isolated from venous blood from 12 healthy volunteers using Ficoll-Hypaque density gradients. Monocytes were incubated with media containing 2 ng/ml GM-CSF for 12d to allow full differentiation into macrophage (MDM), a functionally equivalent model of human AM. MDM were pretreated with Rolipram overnight (16-18h),phagocytosis of fluorescent labeled beads and H.influenzae,S.aureus by MDM was measured using a fluostar optima fluorimeter. Cell viability was assay with MTT. Results MDM phagocytosis of beads and bacteria was a time-dependant process. Rolipram in the concentration of 10^-8-10^-5M didn't inhibit or promote phagocytosis of beads and bacteria by MDM, and didn't affect the cell viability. Conclusion Phosphodiesterases 4 inhibitor would not affect the human macrophage phagocytic capacity of non-biological particles and bacteria associated with enhanced intracellular cAMP level.