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Lee KB, Lee M, Suh JW, Yang KS, Chung Y, Kim JY, Kim SB, Sohn JW, Yoon YK. Clinical prediction rule for identifying older patients with toxigenic clostridioides difficile at the time of hospital admission. BMC Geriatr 2023; 23:127. [PMID: 36879198 PMCID: PMC9990199 DOI: 10.1186/s12877-023-03808-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2022] [Accepted: 02/08/2023] [Indexed: 03/08/2023] Open
Abstract
BACKGROUND This study aimed to develop and validate a clinical prediction rule to screen older patients at risk of being toxigenic Clostridioides difficile carriers at the time of hospital admission. METHODS This retrospective case-control study was performed at a university-affiliated hospital. Active surveillance using a real-time polymerase chain reaction (PCR) assay for the toxin genes of C. difficile was conducted among older patients (≥ 65 years) upon admission to the Division of Infectious Diseases of our institution. This rule was drawn from a derivative cohort between October 2019 and April 2021 using a multivariable logistic regression model. Clinical predictability was evaluated in the validation cohort between May 2021 and October 2021. RESULTS Of 628 PCR screenings for toxigenic C. difficile carriage, 101 (16.1%) yielded positive findings. To establish clinical prediction rules in the derivation cohort, the formula was derived using significant predictors for toxigenic C. difficile carriage at admission, such as septic shock, connective tissue diseases, anemia, recent use of antibiotics, and recent use of proton-pump inhibitors. In the validation cohort, the sensitivity, specificity, and positive and negative predictive values of the prediction rule, based on a cut-off value of ≥ 0.45, were 78.3%, 70.8%, 29.5%, and 95.4%, respectively. CONCLUSION This clinical prediction rule for identifying toxigenic C. difficile carriage at admission may facilitate the selective screening of high-risk groups. To implement it in a clinical setting, more patients from other medical institutions need to be prospectively examined.
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Affiliation(s)
- Ki-Byung Lee
- Division of Infectious Diseases, Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, 73, Inchon-ro, Seongbuk-gu, 02841, Seoul, Republic of Korea
| | - Mina Lee
- Infection Control Unit, Korea University Anam Hospital, Seoul, Republic of Korea
| | - Jin Woong Suh
- Division of Infectious Diseases, Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, 73, Inchon-ro, Seongbuk-gu, 02841, Seoul, Republic of Korea
| | - Kyung-Sook Yang
- Department of Biostatistics, Korea University College of Medicine, Seoul, Republic of Korea
| | - Youseung Chung
- Division of Infectious Diseases, Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, 73, Inchon-ro, Seongbuk-gu, 02841, Seoul, Republic of Korea
| | - Jeong Yeon Kim
- Division of Infectious Diseases, Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, 73, Inchon-ro, Seongbuk-gu, 02841, Seoul, Republic of Korea
| | - Sun Bean Kim
- Division of Infectious Diseases, Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, 73, Inchon-ro, Seongbuk-gu, 02841, Seoul, Republic of Korea
| | - Jang Wook Sohn
- Division of Infectious Diseases, Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, 73, Inchon-ro, Seongbuk-gu, 02841, Seoul, Republic of Korea
| | - Young Kyung Yoon
- Division of Infectious Diseases, Department of Internal Medicine, Korea University Anam Hospital, Korea University College of Medicine, 73, Inchon-ro, Seongbuk-gu, 02841, Seoul, Republic of Korea.
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Clostridioides difficile Infection in Liver Cirrhosis: A Concise Review. Can J Gastroenterol Hepatol 2022; 2022:4209442. [PMID: 35711246 PMCID: PMC9197604 DOI: 10.1155/2022/4209442] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 04/04/2022] [Accepted: 05/24/2022] [Indexed: 12/16/2022] Open
Abstract
Clostridium difficile is a Gram-positive bacillus with fecal-oral transmission and is currently one of the most common nosocomial infections worldwide, which was renamed Clostridioides difficile in 2016. Clostridioides difficile infection (CDI) is a prevalent infection in cirrhosis and negatively affects prognosis. This study aimed to provide a concise review with clinical practice implications. The prevalence of CDI in cirrhotic patients increases, while the associated mortality decreases. Multiple groups of risk factors increase the likelihood of CDI in patients with cirrhosis, such as antibiotic use, the severity of cirrhosis, some comorbidities, and demographic aspects. Treatment in the general population is currently described in the latest guidelines. In patients with cirrhosis, rifaximin and lactulose have been shown to reduce CDI risk due to their modulatory effects on the intestinal flora, although conflicting results exist. Fecal microbiota transplantation (FMT) as a treatment for the second or subsequent CDI recurrences has demonstrated a good safety and efficacy in cirrhosis and CDI. Future validation in more prospective studies is needed. Screening of asymptomatic patients appears to be discouraged for the prevention currently, with strict hand hygiene and cleaning of the ward and medical equipment surfaces being the cornerstone of minimizing transmission.
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Lanzas C, Jara M, Tucker R, Curtis S. A review of epidemiological models of Clostridioides difficile transmission and control (2009-2021). Anaerobe 2022; 74:102541. [PMID: 35217149 DOI: 10.1016/j.anaerobe.2022.102541] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 02/09/2022] [Accepted: 02/20/2022] [Indexed: 02/08/2023]
Abstract
Clostridioides difficile is the leading cause of infectious diarrhea and one of the most common healthcare-acquired infections worldwide. We performed a systematic search and a bibliometric analysis of mathematical and computational models for Clostridioides difficile transmission. We identified 33 publications from 2009 to 2021. Models have underscored the importance of asymptomatic colonized patients in maintaining transmission in health-care settings. Infection control, antimicrobial stewardship, active testing, and vaccination have often been evaluated in models. Despite active testing and vaccination being not currently implemented, they are the most commonly evaluated interventions. Some aspects of C. difficile transmission, such community transmission and interventions in health-care settings other than in acute-care hospitals, remained less evaluated through modeling.
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Affiliation(s)
- Cristina Lanzas
- Department of Population Health and Pathobiology, North Carolina State University, Raleigh, NC, USA.
| | - Manuel Jara
- Department of Population Health and Pathobiology, North Carolina State University, Raleigh, NC, USA
| | - Rachel Tucker
- Department of Population Health and Pathobiology, North Carolina State University, Raleigh, NC, USA
| | - Savannah Curtis
- Department of Population Health and Pathobiology, North Carolina State University, Raleigh, NC, USA
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- Department of Population Health and Pathobiology, North Carolina State University, Raleigh, NC, USA
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Champredon D, Zhang K, Smieja M, Moghadas SM. Clostridium difficile intervention timelines for diagnosis, isolation, and treatment. Am J Infect Control 2019; 47:1370-1374. [PMID: 31182236 DOI: 10.1016/j.ajic.2019.05.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2019] [Revised: 04/30/2019] [Accepted: 05/01/2019] [Indexed: 02/02/2023]
Abstract
BACKGROUND Developing timelines of nosocomial Clostridium difficile infection (CDI) is critical to improving control and preventive measures. The objective of this study was to provide data-driven estimates of CDI timelines of diagnosis, isolation, and treatment in a hospital setting. METHODS We obtained data for all CDI inpatients with symptoms onset occurring between January 1, 2013, and December 30, 2017, from St Joseph's Healthcare in Hamilton, Canada. We analyzed full empirical distributions of timelines associated with the diagnosis, isolation, and treatment of CDI. RESULTS A total of 683 inpatients with CDI symptoms were recorded, of which 243 cases were identified as health care-associated infection (HAI). The mean time intervals between the onset of CDI symptoms after admission and the release of laboratory results were 1.2 days and 1.9 days for the HAI and community-associated infection (CAI) patient groups, respectively. The mean time intervals from symptoms onset to the start of isolation were 1.5 days and 2.6 days for the corresponding patient groups. The initiation of treatment within 2 days of symptoms onset reduced the duration of first isolation (P value < .0001); however, the type of initial antibiotic used for CDI treatment was not associated with the duration of isolation. CONCLUSIONS Estimated timelines did not differ (P values > .6) between HAI and CAI patient groups with symptoms onset after admission. These estimates are useful for evaluating the effectiveness of CDI interventions.
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Wei Y, Sun M, Zhang Y, Gao J, Kong F, Liu D, Yu H, Du J, Tang R. Prevalence, genotype and antimicrobial resistance of Clostridium difficile isolates from healthy pets in Eastern China. BMC Infect Dis 2019; 19:46. [PMID: 30634930 PMCID: PMC6330442 DOI: 10.1186/s12879-019-3678-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2018] [Accepted: 01/02/2019] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Clostridium difficile (C. difficile) is a main cause of antibiotic-associated diarrhoea in humans. Several studies have been performed to reveal the prevalence rate of C. difficile in cats and dogs. However, little is known about the epidemiology of C. difficile in healthy pets in China. This study aimed to assess the burden of C. difficile shedding by healthy dogs and cats in China. Furthermore, the genetic diversity and antimicrobial susceptibility patterns of the recovered isolates were determined. METHODS A total of 175 faecal samples were collected from 146 healthy dogs and 29 cats. C. difficile strains were isolated and identified from the feces of these pets. The characterized C. difficile strains were typed by multilocus sequence typing (MLST), and the MICs of the isolates were determined against ampicillin, clindamycin, tetracycline, moxifloxacin, chloramphenicol, cefoxitin, metronidazole and vancomycin by the agar dilution method. RESULTS Overall, 3 faecal samples (1.7%) were C. difficile culture positive. One sample (0.7%) from a dog was C. difficile culture positive, while two cats (7.0%) yielded positive cultures. The prevalence rate differed significantly between cats and dogs. These isolates were typed into 3 MLST genotypes and were susceptible to chloramphenicol, tetracycline, metronidazole and moxifloxacin and resistant to ampicillin, clindamycin and cefoxitin. Notably, one strain, D141-1, which was resistant to three kinds of antibiotics and carried toxin genes, was recovered in the faeces of a healthy dog. CONCLUSION Our results suggest that common pets may be a source of pathogenic C. difficile, indicating that household transmission of C. difficile from pets to humans can not be excluded.
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Affiliation(s)
- Yanxia Wei
- Jiangsu Key Laboratory of Immunity and Metabolism, Laboratory of Infection and Immunity, Department of Pathogenic Biology and Immunology/School of Stomatology, Xuzhou Medical University, Xuzhou, 22104 Jiangsu Province China
| | - Mingchuang Sun
- Jiangsu Key Laboratory of Immunity and Metabolism, Laboratory of Infection and Immunity, Department of Pathogenic Biology and Immunology/School of Stomatology, Xuzhou Medical University, Xuzhou, 22104 Jiangsu Province China
| | - Yuhan Zhang
- Jiangsu Key Laboratory of Immunity and Metabolism, Laboratory of Infection and Immunity, Department of Pathogenic Biology and Immunology/School of Stomatology, Xuzhou Medical University, Xuzhou, 22104 Jiangsu Province China
| | - Jing Gao
- Jiangsu Key Laboratory of Immunity and Metabolism, Laboratory of Infection and Immunity, Department of Pathogenic Biology and Immunology/School of Stomatology, Xuzhou Medical University, Xuzhou, 22104 Jiangsu Province China
| | - Fanyun Kong
- Jiangsu Key Laboratory of Immunity and Metabolism, Laboratory of Infection and Immunity, Department of Pathogenic Biology and Immunology/School of Stomatology, Xuzhou Medical University, Xuzhou, 22104 Jiangsu Province China
| | - Dianbin Liu
- Jiangsu Key Laboratory of Immunity and Metabolism, Laboratory of Infection and Immunity, Department of Pathogenic Biology and Immunology/School of Stomatology, Xuzhou Medical University, Xuzhou, 22104 Jiangsu Province China
| | - Hao Yu
- Jiangsu Key Laboratory of Immunity and Metabolism, Laboratory of Infection and Immunity, Department of Pathogenic Biology and Immunology/School of Stomatology, Xuzhou Medical University, Xuzhou, 22104 Jiangsu Province China
| | - Jinxin Du
- Jiangsu Key Laboratory of Immunity and Metabolism, Laboratory of Infection and Immunity, Department of Pathogenic Biology and Immunology/School of Stomatology, Xuzhou Medical University, Xuzhou, 22104 Jiangsu Province China
| | - Renxian Tang
- Jiangsu Key Laboratory of Immunity and Metabolism, Laboratory of Infection and Immunity, Department of Pathogenic Biology and Immunology/School of Stomatology, Xuzhou Medical University, Xuzhou, 22104 Jiangsu Province China
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Rubin ZA, Martin EM, Allyn P. Primary Prevention of Clostridium difficile-Associated Diarrhea: Current Controversies and Future Tools. Curr Infect Dis Rep 2018; 20:32. [PMID: 29959605 DOI: 10.1007/s11908-018-0639-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
PURPOSE OF REVIEW Clostridium difficile infection (CDI) is a major cause of morbidity and mortality in hospitalized patients and rates in most places have not decreased significantly despite broad efforts by both hospitals and public health entities. This review aims to provide readers with a better understanding of the limitations of current prevention strategies. We also review potential future tools that may be available for the primary prevention of CDI in the next decade. RECENT FINDINGS Research over the last decade has expanded our appreciation of the role of asymptomatic shedding in the healthcare setting and in the community. This review demonstrates that poor quality data underlies even well-established guidance from national authorities on basic topics such as contact precautions, avoidance of alcohol-based hand hygiene products, CDI testing, supplemental cleaning modalities, and the use of bleach solutions. Additionally, we review research on novel preventative interventions such as identification of asymptomatic carriers, supplemental environmental cleaning technologies, vaccines, and the manipulation of the intestinal microbiome. While there is preliminary data that supports further research in all of these areas, the research is not yet robust enough on which to base local or national policy recommendations, though late-phase human clinical trials of CDI vaccine trials are ongoing. Over the last decade, researchers have begun to reassess the traditional infection prevention model for CDI. Data suggesting a greater role for asymptomatic shedders has increased our understanding of current vertical prevention techniques and is forcing researchers to look more at new processes and technologies to decrease disease incidence.
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Affiliation(s)
- Zachary A Rubin
- Division of Infectious Diseases, David Geffen School of Medicine at UCLA, 924 Westwood Blvd, Suite 900, Los Angeles, CA, 90095, USA.
- UCLA Clinical Epidemiology & Infection Prevention, 924 Westwood Blvd, Suite 900, Los Angeles, CA, 90095, USA.
| | - Elise M Martin
- Division of Infectious Diseases, David Geffen School of Medicine at UCLA, 924 Westwood Blvd, Suite 900, Los Angeles, CA, 90095, USA
- UCLA Clinical Epidemiology & Infection Prevention, 924 Westwood Blvd, Suite 900, Los Angeles, CA, 90095, USA
- UCLA Antibiotic Stewardship Program, Los Angeles, CA, USA
| | - Paul Allyn
- Division of Infectious Diseases, David Geffen School of Medicine at UCLA, 924 Westwood Blvd, Suite 900, Los Angeles, CA, 90095, USA
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