Incidence and Outbreak of Healthcare-Onset Healthcare-Associated Clostridioides difficile Infections Among Intensive Care Patients in a Large Teaching Hospital in China

被引:13
作者
Li, Chunhui [1 ]
Li, Yuan [2 ]
Huai, Yang [2 ]
Liu, Sidi [1 ]
Meng, Xiujuan [1 ]
Duan, Juping [1 ]
Klena, John D. [2 ,3 ]
Rainey, Jeanette J. [2 ,3 ]
Wu, Anhua [1 ]
Rao, Carol Y. [2 ,3 ]
机构
[1] Cent S Univ, Xiangya Hosp, Infect Control Ctr, Changsha, Hunan, Peoples R China
[2] US Ctr Dis Control & Prevent, Ctr Global Hlth, Div Global Hlth Protect, Int Emerging Infect Program, Beijing, Peoples R China
[3] US Ctr Dis Control & Prevent, Ctr Global Hlth, Div Global Hlth Protect, Atlanta, GA USA
来源
FRONTIERS IN MICROBIOLOGY | 2018年 / 9卷
关键词
Clostridioides difficile infection (CDI); incidence; outbreak; antibiotic associated diarrhea (AAD); global health security; TOXIN-B; MOLECULAR EPIDEMIOLOGY; RISK-FACTORS; STRAIN; GENES; SURVEILLANCE; PREVALENCE; DIARRHEA; TCDB;
D O I
10.3389/fmicb.2018.00566
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Background: Clostridioides difficile infection (CDI) is an important cause of morbidity and mortality among hospitalized patients. In China, however, hospital staff do not routinely test for CDI, leading to under-diagnosis and poor patient outcomes. Locally generated CDI data can help assess the magnitude of the problem and strengthen approaches for CDI prevention and control. Methods: We prospectively monitored hospital-onset hospital-associated (HOHA) CDI in four intensive care units (ICUs) from June 2013 to September 2014 in a large teaching hospital in China. We collected clinical information from all ICU patients with >= 3 episodes of diarrhea occurring within a 24-h period at least 48 h following admission (suspect case definition). Stool specimens were collected from all suspect cases of CDI and cultured for C. difficile. Polymerase chain reaction (PCR) was used to detect toxin genes from positive isolates; multi-locus sequence typing (MLST) was used for typing and identifying novel strains. We estimated the incidence rate as the number of HOHA CDI cases per 10,000 patient days; 95% confidence intervals were generated to assess rate differences between the four ICUs. Results: A total of 593 hospital-onset diarrhea patients met the suspect case definition during the study period. Of these, 47 patients (8%) were positive for C. difficile and toxin genes. The HOHA-CDI incidence rate was 14.1 cases per 10,000 patient days (95% CI: 10.5-18.6). Six patients with HOHA CDI died. ST54 (n = 14, 20%) was the most common type of HOHA-CDI strain circulating in the hospital during the study period and was linked to a temporal cluster (outbreak) involving two (NICU and GICU) of the four ICUs. Conclusion: HOHA-CDI occurs among ICU patients at this teaching hospital, supporting the importance of routine testing for CDI. Information on strain distribution can help detect CDI outbreaks. Detection of ST54 strain in a temporal cluster suggests possible gaps in infection control practices that should be investigated and addressed as needed.
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相关论文
共 25 条
[1]   Factors Associated With Complications of Clostridium difficile Infection in a Multicenter Prospective Cohort [J].
Abou Chakra, Claire Nour ;
McGeer, Allison ;
labbe, Annie-Claude ;
Simor, Andrew E. ;
Gold, Wayne L. ;
Muller, Matthew P. ;
Powis, Jeff ;
Katz, Kevin ;
Garneau, Julian R. ;
Fortier, Louis-Charles ;
Pepin, Jacques ;
Cadarette, Suzanne M. ;
Valiquette, Louis .
CLINICAL INFECTIOUS DISEASES, 2015, 61 (12) :1781-1788
[2]  
[Anonymous], 2014, PLOS ONE
[3]   Molecular epidemiology of Clostridium difficile in a tertiary hospital of China [J].
Chen, Yun-Bo ;
Gu, Si-Lan ;
Wei, Ze-Qing ;
Shen, Ping ;
Kong, Hai-Sheng ;
Yang, Qing ;
Li, Lan-Juan .
JOURNAL OF MEDICAL MICROBIOLOGY, 2014, 63 :562-569
[4]   The First Two Clostridium difficile Ribotype 027/ST1 Isolates Identified in Beijing, China-an Emerging Problem or a Neglected Threat? [J].
Cheng, Jing-Wei ;
Xiao, Meng ;
Kudinha, Timothy ;
Xu, Zhi-Peng ;
Hou, Xin ;
Sun, Lin-Ying ;
Zhang, Li ;
Fan, Xin ;
Kong, Fanrong ;
Xu, Ying-Chun .
SCIENTIFIC REPORTS, 2016, 6
[5]   Clinical Practice Guidelines for Clostridium difficile Infection in Adults: 2010 Update by the Society for Healthcare Epidemiology of America (SHEA) and the Infectious Diseases Society of America (IDSA) [J].
Cohen, Stuart H. ;
Gerding, Dale N. ;
Johnson, Stuart ;
Kelly, Ciaran P. ;
Loo, Vivian G. ;
McDonald, L. Clifford ;
Pepin, Jacques ;
Wilcox, Mark H. .
INFECTION CONTROL AND HOSPITAL EPIDEMIOLOGY, 2010, 31 (05) :431-455
[6]  
Foster N F, 2014, New Microbes New Infect, V2, P64, DOI 10.1002/nmi2.43
[7]   Meta-analysis to assess risk factors for recurrent Clostridium difficile infection [J].
Garey, K. W. ;
Sethi, S. ;
Yadav, Y. ;
DuPont, H. L. .
JOURNAL OF HOSPITAL INFECTION, 2008, 70 (04) :298-304
[8]   Multilocus Sequence Typing of Clostridium difficile [J].
Griffiths, David ;
Fawley, Warren ;
Kachrimanidou, Melina ;
Bowden, Rory ;
Crook, Derrick W. ;
Fung, Rowena ;
Golubchik, Tanya ;
Harding, Rosalind M. ;
Jeffery, Katie J. M. ;
Jolley, Keith A. ;
Kirton, Richard ;
Peto, Tim E. ;
Rees, Gareth ;
Stoesser, Nicole ;
Vaughan, Alison ;
Walker, A. Sarah ;
Young, Bernadette C. ;
Wilcox, Mark ;
Dingle, Kate E. .
JOURNAL OF CLINICAL MICROBIOLOGY, 2010, 48 (03) :770-778
[9]   Analysis of prevalence, risk factors and molecular epidemiology of Clostridium difficile infection in Kuwait over a 3-year period [J].
Jamal, W. ;
Rotimi, V. O. ;
Brazier, J. ;
Duerden, B. I. .
ANAEROBE, 2010, 16 (06) :560-565
[10]   Whole genome sequencing reveals potential spread of Clostridium difficile between humans and farm animals in the Netherlands, 2002 to 2011 [J].
Knetsch, C. W. ;
Connor, T. R. ;
Mutreja, A. ;
van Dorp, S. M. ;
Sanders, I. M. ;
Browne, H. P. ;
Harris, D. ;
Lipman, L. ;
Keessen, E. C. ;
Corver, J. ;
Kuijper, E. J. ;
Lawley, T. D. .
EUROSURVEILLANCE, 2014, 19 (45) :30-41