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Eeuwijk J, Ferreira G, Yarzabal JP, Robert-Du Ry van Beest Holle M. A Systematic Literature Review on Risk Factors for and Timing of Clostridioides difficile Infection in the United States. Infect Dis Ther 2024; 13:273-298. [PMID: 38349594 PMCID: PMC10904710 DOI: 10.1007/s40121-024-00919-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Accepted: 01/10/2024] [Indexed: 02/25/2024] Open
Abstract
INTRODUCTION Clostridioides difficile infection (CDI) is a major public health threat. Up to 40% of patients with CDI experience recurrent CDI (rCDI), which is associated with increased morbidity. This study aimed to define an at-risk population by obtaining a detailed understanding of the different factors leading to CDI, rCDI, and CDI-related morbidity and of time to CDI. METHODS We conducted a systematic literature review (SLR) of MEDLINE (using PubMed) and EMBASE for relevant articles published between January 1, 2016, and November 11, 2022, covering the US population. RESULTS Of the 1324 articles identified, 151 met prespecified inclusion criteria. Advanced patient age was a likely risk factor for primary CDI within a general population, with significant risk estimates identified in nine of 10 studies. Older age was less important in specific populations with comorbidities usually diagnosed at earlier age, such as bowel disease and cancer. In terms of comorbidities, the established factors of infection, kidney disease, liver disease, cardiovascular disease, and bowel disease along with several new factors (including anemia, fluid and electrolyte disorders, and coagulation disorders) were likely risk factors for primary CDI. Data on diabetes, cancer, and obesity were mixed. Other primary CDI risk factors were antibiotics, proton pump inhibitors, female sex, prior hospitalization, and the length of stay in hospital. Similar factors were identified for rCDI, but evidence was limited. Older age was a likely risk factor for mortality. Timing of primary CDI varied depending on the population: 2-3 weeks in patients receiving stem cell transplants, within 3 weeks for patients undergoing surgery, and generally more than 3 weeks following solid organ transplant. CONCLUSION This SLR uses recent evidence to define the most important factors associated with CDI, confirming those that are well established and highlighting new ones that could help to identify patient populations at high risk.
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Affiliation(s)
- Jennifer Eeuwijk
- Pallas Health Research and Consultancy, a P95 Company, Rotterdam, Netherlands
| | | | - Juan Pablo Yarzabal
- GSK, Wavre, Belgium.
- GSK, B43, Rue de l'Institut, 89, 1330, Rixensart, Belgium.
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Kunishima H, Ohge H, Suzuki H, Nakamura A, Matsumoto K, Mikamo H, Mori N, Morinaga Y, Yanagihara K, Yamagishi Y, Yoshizawa S. Japanese Clinical Practice Guidelines for Management of Clostridioides (Clostridium) difficile infection. J Infect Chemother 2022; 28:1045-1083. [PMID: 35618618 DOI: 10.1016/j.jiac.2021.12.011] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Revised: 11/16/2021] [Accepted: 12/13/2021] [Indexed: 12/19/2022]
Affiliation(s)
- Hiroyuki Kunishima
- Department of Infectious Diseases, St. Marianna University School of Medicine, Japan.
| | - Hiroki Ohge
- Department of Infectious Diseases, Hiroshima University Hospital, Japan
| | - Hiromichi Suzuki
- Division of Infectious Diseases, Department of Medicine, Tsukuba Medical Center Hospital, Japan
| | - Atsushi Nakamura
- Division of Infection Control and Prevention, Nagoya City University Hospital, Japan
| | - Kazuaki Matsumoto
- Division of Pharmacodynamics, Faculty of Pharmacy, Keio University, Japan
| | - Hiroshige Mikamo
- Clinical Infectious Diseases, Graduate School of Medicine, Aichi Medical University, Japan
| | - Nobuaki Mori
- Division of General Internal Medicine and Infectious Diseases, National Hospital Organization Tokyo Medical Center, Japan
| | - Yoshitomo Morinaga
- Department of Microbiology, Graduate School of Medicine and Pharmaceutical Sciences, University of Toyama, Japan
| | - Katsunori Yanagihara
- Department of Laboratory Medicine, Nagasaki University Graduate School of Biomedical Sciences, Japan
| | - Yuka Yamagishi
- Clinical Infectious Diseases, Graduate School of Medicine, Aichi Medical University, Japan
| | - Sadako Yoshizawa
- Department of Clinical Laboratory/Department of Microbiology and Infectious Diseases, Toho University School of Medicine, Japan
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van Prehn J, Reigadas E, Vogelzang EH, Bouza E, Hristea A, Guery B, Krutova M, Norén T, Allerberger F, Coia JE, Goorhuis A, van Rossen TM, Ooijevaar RE, Burns K, Scharvik Olesen BR, Tschudin-Sutter S, Wilcox MH, Vehreschild MJGT, Fitzpatrick F, Kuijper EJ. European Society of Clinical Microbiology and Infectious Diseases: 2021 update on the treatment guidance document for Clostridioides difficile infection in adults. Clin Microbiol Infect 2021; 27 Suppl 2:S1-S21. [PMID: 34678515 DOI: 10.1016/j.cmi.2021.09.038] [Citation(s) in RCA: 220] [Impact Index Per Article: 73.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2021] [Revised: 09/23/2021] [Accepted: 09/30/2021] [Indexed: 12/13/2022]
Abstract
SCOPE In 2009, the European Society of Clinical Microbiology and Infectious Diseases (ESCMID) published the first treatment guidance document for Clostridioides difficile infection (CDI). This document was updated in 2014. The growing literature on CDI antimicrobial treatment and novel treatment approaches, such as faecal microbiota transplantation (FMT) and toxin-binding monoclonal antibodies, prompted the ESCMID study group on C. difficile (ESGCD) to update the 2014 treatment guidance document for CDI in adults. METHODS AND QUESTIONS Key questions on CDI treatment were formulated by the guideline committee and included: What is the best treatment for initial, severe, severe-complicated, refractory, recurrent and multiple recurrent CDI? What is the best treatment when no oral therapy is possible? Can prognostic factors identify patients at risk for severe and recurrent CDI and is there a place for CDI prophylaxis? Outcome measures for treatment strategy were: clinical cure, recurrence and sustained cure. For studies on surgical interventions and severe-complicated CDI the outcome was mortality. Appraisal of available literature and drafting of recommendations was performed by the guideline drafting group. The total body of evidence for the recommendations on CDI treatment consists of the literature described in the previous guidelines, supplemented with a systematic literature search on randomized clinical trials and observational studies from 2012 and onwards. The Grades of Recommendation Assessment, Development and Evaluation (GRADE) system was used to grade the strength of our recommendations and the quality of the evidence. The guideline committee was invited to comment on the recommendations. The guideline draft was sent to external experts and a patients' representative for review. Full ESCMID endorsement was obtained after a public consultation procedure. RECOMMENDATIONS Important changes compared with previous guideline include but are not limited to: metronidazole is no longer recommended for treatment of CDI when fidaxomicin or vancomycin are available, fidaxomicin is the preferred agent for treatment of initial CDI and the first recurrence of CDI when available and feasible, FMT or bezlotoxumab in addition to standard of care antibiotics (SoC) are preferred for treatment of a second or further recurrence of CDI, bezlotoxumab in addition to SoC is recommended for the first recurrence of CDI when fidaxomicin was used to manage the initial CDI episode, and bezlotoxumab is considered as an ancillary treatment to vancomycin for a CDI episode with high risk of recurrence when fidaxomicin is not available. Contrary to the previous guideline, in the current guideline emphasis is placed on risk for recurrence as a factor that determines treatment strategy for the individual patient, rather than the disease severity.
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Affiliation(s)
- Joffrey van Prehn
- Department of Medical Microbiology, Centre for Infectious Diseases, Leiden University Medical Center, Leiden, the Netherlands
| | - Elena Reigadas
- Department of Clinical Microbiology and Infectious Diseases, Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - Erik H Vogelzang
- Department of Medical Microbiology and Infection Control, Amsterdam University Medical Center, Location VUmc, Amsterdam, the Netherlands
| | - Emilio Bouza
- Department of Clinical Microbiology and Infectious Diseases, Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | - Adriana Hristea
- University of Medicine and Pharmacy Carol Davila, National Institute for Infectious Diseases Prof Dr Matei Bals, Romania
| | - Benoit Guery
- Infectious Diseases Specialist, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Marcela Krutova
- Department of Medical Microbiology, Charles University in Prague and Motol University Hospital, Czech Republic
| | - Torbjorn Norén
- Faculty of Medicine and Health, Department of Laboratory Medicine, National Reference Laboratory for Clostridioides difficile, Clinical Microbiology, Örebro University Hospital, Örebro, Sweden
| | | | - John E Coia
- Department of Clinical Microbiology, Hospital South West Jutland and Department of Regional Health Research IRS, University of Southern Denmark, Esbjerg, Denmark
| | - Abraham Goorhuis
- Department of Infectious Diseases, Amsterdam University Medical Centers, Academic Medical Center, Amsterdam, the Netherlands
| | - Tessel M van Rossen
- Department of Medical Microbiology and Infection Control, Amsterdam University Medical Center, Location VUmc, Amsterdam, the Netherlands
| | - Rogier E Ooijevaar
- Department of Gastroenterology, Amsterdam University Medical Center, Location VUmc, Amsterdam, the Netherlands
| | - Karen Burns
- Departments of Clinical Microbiology, Beaumont Hospital & Royal College of Surgeons in Ireland, Dublin, Ireland
| | | | - Sarah Tschudin-Sutter
- Department of Infectious Diseases and Infection Control, University Hospital Basel, University Basel, Universitatsspital, Basel, Switzerland
| | - Mark H Wilcox
- Department of Microbiology, Old Medical, School Leeds General Infirmary, Leeds Teaching Hospitals & University of Leeds, Leeds, United Kingdom
| | - Maria J G T Vehreschild
- German Centre for Infection Research (DZIF), Partner Site Bonn-Cologne, Cologne, Germany; Department of Internal Medicine, Infectious Diseases, University Hospital Frankfurt, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Fidelma Fitzpatrick
- Department of Clinical Microbiology, Beaumont Hospital, Dublin, Ireland; Department of Clinical Microbiology, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Ed J Kuijper
- Department of Medical Microbiology, Centre for Infectious Diseases, Leiden University Medical Center, Leiden, the Netherlands; National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands.
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van Rossen TM, Ooijevaar RE, Vandenbroucke-Grauls CMJE, Dekkers OM, Kuijper EJ, Keller JJ, van Prehn J. Prognostic factors for severe and recurrent Clostridioides difficile infection: a systematic review. Clin Microbiol Infect 2021; 28:321-331. [PMID: 34655745 DOI: 10.1016/j.cmi.2021.09.026] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Revised: 09/24/2021] [Accepted: 09/25/2021] [Indexed: 12/13/2022]
Abstract
OBJECTIVES Clostridioides difficile infection (CDI), its subsequent recurrences (rCDIs), and severe CDI (sCDI) provide a significant burden for both patients and the healthcare system. Identifying patients diagnosed with initial CDI who are at increased risk of developing sCDI/rCDI could lead to more cost-effective therapeutic choices. In this systematic review we aimed to identify clinical prognostic factors associated with an increased risk of developing sCDI or rCDI. METHODS PubMed, Embase, Emcare, Web of Science and COCHRANE Library databases were searched from database inception through March, 2021. The study eligibility criteria were cohort and case-control studies. Participants were patients ≥18 years old diagnosed with CDI, in which clinical or laboratory factors were analysed to predict sCDI/rCDI. Risk of bias was assessed by using the Quality in Prognostic Research (QUIPS) tool and the Grading of Recommendations Assessment, Development and Evaluation (GRADE) tool modified for prognostic studies. Study selection was performed by two independent reviewers. Overview tables of prognostic factors were constructed to assess the number of studies and the respective effect direction and statistical significance of an association. RESULTS 136 studies were included for final analysis. Greater age and the presence of multiple comorbidities were prognostic factors for sCDI. Identified risk factors for rCDI were greater age, healthcare-associated CDI, prior hospitalization, proton pump inhibitors (PPIs) started during or after CDI diagnosis, and previous rCDI. CONCLUSIONS Prognostic factors for sCDI and rCDI could aid clinicians to make treatment decisions based on risk stratification. We suggest that future studies use standardized definitions for sCDI/rCDI and systematically collect and report the risk factors assessed in this review, to allow for meaningful meta-analysis of risk factors using data of high-quality trials.
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Affiliation(s)
- Tessel M van Rossen
- Amsterdam UMC, VU University Medical Center, Medical Microbiology & Infection Control, Amsterdam Infection & Immunity, Amsterdam, the Netherlands.
| | - Rogier E Ooijevaar
- Amsterdam UMC, VU University Medical Center, Gastroenterology & Hepatology, Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam, the Netherlands.
| | - Christina M J E Vandenbroucke-Grauls
- Amsterdam UMC, VU University Medical Center, Medical Microbiology & Infection Control, Amsterdam Infection & Immunity, Amsterdam, the Netherlands; Aarhus University, Clinical Epidemiology, Aarhus, Denmark
| | - Olaf M Dekkers
- Leiden University Medical Center, Clinical Epidemiology, Leiden, the Netherlands
| | - Ed J Kuijper
- Leiden University Medical Center, Center for Infectious Diseases, Medical Microbiology, Leiden, the Netherlands
| | - Josbert J Keller
- Haaglanden Medical Center, Gastroenterology & Hepatology, The Hague, the Netherlands; Leiden University Medical Center, Gastroenterology & Hepatology, Leiden, the Netherlands
| | - Joffrey van Prehn
- Leiden University Medical Center, Center for Infectious Diseases, Medical Microbiology, Leiden, the Netherlands
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Abstract
PURPOSE Existing clinical or microbiological scores are not sensitive enough to obtain prompt identification of patients at risk of complicated Clostridium difficile infection (CDI). Our aim was to use a CDI animal model to evaluate 2-deoxy-2-[18F]fluoro-D-glucose positron emission tomography ([18F]FDG-PET) as a marker of severe course of infection. PROCEDURES CDI was induced with cefoperazone for 10 days followed by clindamycin 1 day before C. difficile inoculation. Mice were divided into wild type (n = 6), antibiotic without infection (AC n = 4), h001-infected (n = 5, ribotype 001), and h027-infected (n = 5, ribotype 027). Two days after inoculation, [18F]FDG-PET was acquired. Weight, general animal condition, and survival were monitored daily for 9 days. RESULTS h001 group showed symptoms for 4 days with 0 % mortality and a similar colon uptake than control animals (h001 0.52 ± 0.20, WT 0.42 ± 0.07, and AC 0.36 ± 0.06). The h027 group showed symptoms up to 7 days, with 66.7 % of mortality 4 days after infection, and significantly higher colon uptake (0.93 ± 0.38, p < 0.05). Clinical score was associated to colon and cecum uptake (rho = 0.78, p = 0.0001) (rho = 0.73, p = 0.0003). CONCLUSION High toxin producer ribotype 027 induced more severe CDI infections, correlating with higher colon and cecum [18F]FDG uptake. Colon uptake may purportedly serve as early predictor of CDI severity.
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Carlson TJ, Gonzales-Luna AJ, Nebo K, Chan HY, Tran NLT, Antony S, Lancaster C, Alam MJ, Begum K, Garey KW. Assessment of Kidney Injury as a Severity Criteria for Clostridioides Difficile Infection. Open Forum Infect Dis 2020; 7:ofaa476. [PMID: 33209956 PMCID: PMC7652094 DOI: 10.1093/ofid/ofaa476] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Accepted: 09/30/2020] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND The Infectious Diseases Society of America (IDSA) and Society for Healthcare Epidemiology of America (SHEA) revised their Clostridioides difficile infection (CDI) severity classification criteria in 2017 to include an absolute serum creatinine (SCr) value above a threshold (≥1.5 mg/dL) rather than a relative increase from baseline (≥1.5 times the premorbid level). To date, how to best define kidney injury as a CDI disease severity marker has not been validated to assess severe outcomes associated with CDI. METHODS This multicenter cohort study included adult hospitalized patients with CDI. Patients were assessed for the presence of acute kidney injury (AKI), chronic kidney disease (CKD), and CDI severity using the 2010 and 2017 IDSA/SHEA CDI guidelines. Primary outcome was all-cause inpatient mortality. RESULTS The final study cohort consisted of 770 CDI episodes from 705 unique patients aged 65 ± 17 years (female, 54%; CKD, 36.5%; AKI, 29.6%). Eighty-two episodes (10.6%) showed discordant severity classification results due to the inclusion of more patients with preexisting CKD in the severe disease category using an absolute SCr threshold criterion. The absolute SCr criterion better correlated with all-cause mortality (odds ratio [OR], 4.04; 95% confidence interval [CI], 1.76-9.28; P = .001) than the relative increase in SCr (OR, 1.34; 95% CI, 0.62-2.89; P = .46). This corresponded to an increased likelihood of the 2017 CDI severity classification criteria to predict mortality (OR, 5.33; 95% CI, 1.81-15.72; P = .002) compared with the 2010 criteria (OR, 2.71; 95% CI, 1.16-6.32; P = .02). CONCLUSIONS Our findings support the 2017 IDSA/SHEA CDI severity classification criteria of a single pretreatment SCr in future CDI guideline updates.
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Affiliation(s)
- Travis J Carlson
- Department of Clinical Sciences, High Point University Fred Wilson School of Pharmacy, High Point, North Carolina, USA
| | - Anne J Gonzales-Luna
- Department of Pharmacy Practice and Translational Research, University of Houston College of Pharmacy, Houston, Texas, USA
| | - Kimberly Nebo
- Department of Pharmacy Practice and Translational Research, University of Houston College of Pharmacy, Houston, Texas, USA
| | - Hannah Y Chan
- Department of Pharmacy Practice and Translational Research, University of Houston College of Pharmacy, Houston, Texas, USA
| | - Ngoc-Linh T Tran
- Department of Pharmacy Practice and Translational Research, University of Houston College of Pharmacy, Houston, Texas, USA
| | - Sheena Antony
- Department of Pharmacy Practice and Translational Research, University of Houston College of Pharmacy, Houston, Texas, USA
| | - Chris Lancaster
- Department of Clinical Sciences, High Point University Fred Wilson School of Pharmacy, High Point, North Carolina, USA
| | - M Jahangir Alam
- Department of Pharmacy Practice and Translational Research, University of Houston College of Pharmacy, Houston, Texas, USA
| | - Khurshida Begum
- Department of Pharmacy Practice and Translational Research, University of Houston College of Pharmacy, Houston, Texas, USA
| | - Kevin W Garey
- Department of Pharmacy Practice and Translational Research, University of Houston College of Pharmacy, Houston, Texas, USA
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Farowski F, Els G, Tsakmaklis A, Higgins PG, Kahlert CR, Stein-Thoeringer CK, Bobardt JS, Dettmer-Wilde K, Oefner PJ, Vehreschild JJ, Vehreschild MJ. Assessment of urinary 3-indoxyl sulfate as a marker for gut microbiota diversity and abundance of Clostridiales. Gut Microbes 2018; 10:133-141. [PMID: 30118620 PMCID: PMC6546351 DOI: 10.1080/19490976.2018.1502536] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2018] [Revised: 06/04/2018] [Accepted: 07/09/2018] [Indexed: 02/03/2023] Open
Abstract
OBJECTIVES After allogeneic hematopoietic stem cell transplantation (allo-HCT), urinary levels of 3-indoxyl sulfate (3-IS) correlate with the relative abundance of bacteria from the class Clostridia (RAC), and antibiotic treatment is considered the major determinant of this outcome. A high RAC has been associated with favorable outcome after allo-HCT and protection from Clostridium difficile infection (CDI). We assessed correlations between alpha diversity, RAC and urinary 3-IS levels in a non-allo-HCT clinical cohort of antibiotic treated patients to further explore 3-IS as a biomarker of reduced diversity and predisposition to CDI. METHODS Fecal and urinary specimens were analyzed from 40 non-allo-HCT hospitalized patients before and 9 ± 2 days after initiation of intravenous antibiotic treatment. Fecal microbiota were analyzed by 16s RNA sequencing and urinary 3-IS was analyzed by liquid chromatography-tandem mass spectrometry. Receiver operating characteristic (ROC) analysis was performed to assess the predictive value of 3-IS. RESULTS At a RAC cutoff of <30%, the binary logarithm of 3-IS (medium 3-IS: ≤2.5; high 3-IS: >2.5) was predictive with an accuracy of 82% (negative predictive value: 87%, positive predictive value 67%). Accuracy was improved by combing antibiotic history with 3-IS levels (accuracy 89%, npv 88%, ppv 92%). CONCLUSION In conjunction with patient antibiotic history, 3-IS is a candidate marker to predict RAC.
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Affiliation(s)
- Fedja Farowski
- Department I of Internal Medicine, University Hospital of Cologne, Cologne, Germany
- German Centre for Infection Research (DZIF), partner site Bonn-Cologne, Cologne, Germany
| | - Gregor Els
- Department I of Internal Medicine, University Hospital of Cologne, Cologne, Germany
| | - Anastasia Tsakmaklis
- Department I of Internal Medicine, University Hospital of Cologne, Cologne, Germany
| | - Paul G. Higgins
- Institute for Medical Microbiology, Immunology and Hygiene, University of Cologne, Cologne, Germany
| | - Christian R. Kahlert
- Clinic of Infectious Diseases and Hospital Epidemiology, Kantonsspital St. Gallen, St. Gallen, Switzerland
- Infectious Diseases and Hospital Epidemiology, Children’s Hospital of Eastern Switzerland, St. Gallen, Switzerland
| | - Christoph K. Stein-Thoeringer
- Clinic und Polyclinic for Internal Medicine II, Klinikum rechts der Isar, Technical University Munich, Munich, Germany
- Immunology program, Memorial Sloan Kettering Cancer Center, New York, USA
| | - Johanna S. Bobardt
- Clinic und Polyclinic for Internal Medicine II, Klinikum rechts der Isar, Technical University Munich, Munich, Germany
| | - Katja Dettmer-Wilde
- Institute of Functional Genomics, University of Regensburg, Regensburg, Germany
| | - Peter J. Oefner
- Institute of Functional Genomics, University of Regensburg, Regensburg, Germany
| | - Jörg Janne Vehreschild
- Department I of Internal Medicine, University Hospital of Cologne, Cologne, Germany
- German Centre for Infection Research (DZIF), partner site Bonn-Cologne, Cologne, Germany
| | - Maria J.G.T. Vehreschild
- Department I of Internal Medicine, University Hospital of Cologne, Cologne, Germany
- German Centre for Infection Research (DZIF), partner site Bonn-Cologne, Cologne, Germany
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