Luo Ying, Zhang Wen, Cheng Jing-Wei, Xiao Meng, Sun Gui-Rong, Guo Cheng-Jie, Liu Ming-Jun, Cong Pei-Shan, Kudinha Timothy
Department of Clinical Laboratory, The Affiliated Hospital of Qingdao University, Qingdao, China.
Department of Clinical Laboratory, Zibo Central Hospital, Zibo, China.
Infect Drug Resist. 2018 Apr 6;11:489-500. doi: 10.2147/IDR.S152724. eCollection 2018.
The incidence and severity of infection (CDI) have markedly increased over the past decade. However, there is very limited epidemiological data on CDI in China so far, specifically no data in Shandong Province. The aim of this study was to evaluate diagnostic algorithm for CDI and to gain data on molecular epidemiology of CDI in the Shandong Province of China.
Nonrepetitive unformed fecal specimens (n=504) were investigated by the glutamate dehydrogenase (GDH), toxin A&B (CDAB) tests and toxigenic culture. Furthermore, 85 isolates were characterized by toxin gene detection, multilocus sequence typing, ribotyping and antimicrobial susceptibility testing.
The algorithm of combining GDH and CDAB tests could define diagnosis of 54.2% CDI cases and excluded 90% of non-CDI. Further adding the toxigenic culture to the algorithm enhanced the detection sensitivity to 100%. Toxigenic strains comprised 84.7% of isolates, including A+B+CDT- (71.8%, 61/85), A-B+CDT- (11.8%, 10/85) and A+B+CDT+ (1.2%, 1/85) isolates. RT046/ST35 (13.9%, 10/72), RT014/ST2 (12.5%, 9/72) and RT017/ST37 (12.5%, 9/72) were the more common genotypes among toxigenic strains. The clinical severity score of A-B+CDT- toxin genes genotype (3.50±0.85) was significantly higher than the A+B+CDT- type (2.59±0.93) (<0.05). RT046/ST35 isolates were highly prevalent and had high clinical severity scores (3.80±0.92). Variations in resistance from different sequence types (STs) were observed. Toxigenic strains showed higher resistance rates to erythromycin, clindamycin and ciprofloxacin compared to nontoxigenic strains (<0.05).
The epidemiology of in Shandong Province differed from other regions in China. Comprehensive optimized diagnosis strategy and continuous surveillance should be established and applied in order to curb the spread of toxigenic strains, especially for hospitalized patients.
在过去十年中,艰难梭菌感染(CDI)的发病率和严重程度显著增加。然而,到目前为止,中国关于CDI的流行病学数据非常有限,山东省尚无相关数据。本研究的目的是评估CDI的诊断算法,并获取中国山东省CDI的分子流行病学数据。
采用谷氨酸脱氢酶(GDH)、毒素A&B(CDAB)检测和产毒培养对504份非重复性不成形粪便标本进行检测。此外,通过毒素基因检测、多位点序列分型、核糖体分型和药敏试验对85株分离株进行了鉴定。
联合GDH和CDAB检测的算法可诊断54.2%的CDI病例,并排除90%的非CDI病例。在该算法中进一步加入产毒培养可将检测灵敏度提高到100%。产毒菌株占分离株总数84.7%,包括A+B+CDT-(71.8%,61/85)、A-B+CDT-(11.8%,10/85)和A+B+CDT+(1.2%,1/85)分离株。RT046/ST35(13.9%,10/72)、RT014/ST2(12.5%,9/72)和RT017/ST37(12.5%,9/72)是产毒菌株中较常见基因型。A-B+CDT-毒素基因基因型的临床严重程度评分(3.50±0.85)显著高于A+B+CDT-型(2.59±0.93)(<0.05)。RT046/ST35分离株高度流行且临床严重程度评分较高(3.80±0.92)。观察到不同序列类型(STs)之间的耐药性差异。与非产毒菌株相比,产毒菌株对红霉素、克林霉素和环丙沙星的耐药率更高(<0.05)。
山东省CDI的流行病学情况与中国其他地区不同。应建立并应用综合优化的诊断策略和持续监测,以遏制产毒菌株的传播,尤其是对住院患者而言。