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2. Estimation of antimicrobial resistance of Mycoplasma genitalium, Belgium, 2022

Author

De Baetselier, Irith, primary, Smet, Hilde, additional, Kehoe, Kaat, additional, Loosen, Imelda, additional, Reynders, Marijke, additional, Mansoor, Iqbal, additional, Filippin, Lorenzo, additional, Cauchie, Mathieu, additional, Van Even, Ellen, additional, Makki, Nadia, additional, Schiettekatte, Gilberte, additional, Vandewal, Wouter, additional, Glibert, Bart, additional, Matheeussen, Veerle, additional, Van der Beken, Yolien, additional, Cartuyvels, Reinoud, additional, Steyaert, Sophia, additional, Lemmens, Ann, additional, Garrino, Maria-Grazia, additional, Paridaens, Henry, additional, Lazarova, Elena, additional, Lissoir, Bénédicte, additional, Deffontaine, Marine, additional, Heinrichs, Amélie, additional, Saegeman, Veroniek, additional, Padalko, Elizaveta, additional, Lecompte, Amaryl, additional, Vanden Berghe, Wim, additional, Kenyon, Chris, additional, and Van den Bossche, Dorien, additional

Published
2024
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3. Estimation of the real magnitude of antimicrobial resistance of Mycoplasma genitalium in Belgium by implementing a prospective surveillance programme.

Author

De Baetselier, Irith, primary, Smet, Hilde, additional, Kehoe, Kaat, additional, Loosen, Imelda, additional, Reynders, Marijke, additional, Mansoor, Iqbal, additional, Filippin, Lorenzo, additional, Cauchie, Matthieu, additional, Van Even, Ellen, additional, Makki, Nadia, additional, Schiettekatte, Gilberte, additional, Vandewal, Wouter, additional, Glibert, Bart, additional, Matheeussen, Veerle, additional, Van der Beken, Yolien, additional, Cartuyvels, Reinoud, additional, Steyaert, Sophia, additional, Lemmens, Ann, additional, Garrino, Maria-Grazia, additional, Paridaens, Henry, additional, Lazarova, Elena, additional, Lissoir, Benedicte, additional, Deffontaine, Marine, additional, Heinrichs, Amelie, additional, Padalko, Elizaveta, additional, Saegeman, Veroniek, additional, Lecompte, Amaryl, additional, Berghe, Wim Vanden, additional, Kenyon, Chris, additional, and Van den Bossche, Dorien, additional

Published
2023
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4. Hospital antibiotic prescribing patterns in adult patients according to the WHO Access, Watch and Reserve classification (AWaRe): results from a worldwide point prevalence survey in 69 countries

Author

Pauwels, Ines, Versporten, Ann, Drapier, Nico, Vlieghe, Erika, Goossens, Herman, Koraqi, Andi, Hoxha, Iris, Tafaj, Silva, Cornistein, Wanda, Quiros, Rodolfo, Hojman, Martin, Ghazaryan, Lilit, Horne, Kylie, Cairns, Kelly, Doukas, Fiona, Gottlieb, Thomas, Sermijn, Erica, Verhamme, Katia, Brands, Christiane, Van Herendael, Bruno, Filippin, Lorenzo, Vandewal, Wouter, Konopnicki, Deborah, Maillart, Evelyne, Teixeira Lopes, Liliana, Papin, Pauline, Smits, Ilse, Jansens, Hilde, Bartholomeus, Sofie, Van den Abeele, Anne-Marie, Steyaert, Sophia, Piette, Anne, Buyle, Franky, Cartuyvels, Reinoud, Jonckheere, Stijn, Wybo, Ingrid, Vanneste, Lorenz, Mathieu, Delphine, Firre, Eric, Westelinck, Veerle, Gadisseux, Philippe, Dugernier, Thierry, Bafort, Kristof, Gonissen, Viviane, Vanderper, Vanessa, Gabriels, Patrick, Weekers, Frank, Michel, Philippe, Van Liedekerke, Ann, Costers, Michiel, Catry, Boudewijn, Dedeic-Ljubovic, Amela, Gales, Ana C., Matos Porto, Ana Paula, Figueiredo Costa, Silvia, Keuleyan, Emma, Beidi, Apollinaire, Cissohko, Youssouph, Blakwe, Habsatou, Batchaya Basile, Ngassa, German, Greg J., Lutes, Sarah, Boswell, Jennifer, Mertz, Dominik, Nguyen, Tuyen, MacLaggan, Timothy, Landry, Daniel, Ang, Anita, Thirion, Daniel J.G., Frenette, Charles, Émond, Yannick, Roberts, Jacqueline, Chang, Sandra, Kosar, Justin, Valiquette, Louis, Dutrisac, Ginette, Afra, Kevin, McGeer, Allison, Carrier, Marie, Grant, Jennifer, Labarca, Jaime, Carvajal, Camila, Lin, HongYi, Wang, Qiang, Yang, Jing, Yang, Wenjie, Cortes, Jorge A., Villalobos-Vindas, Juan, Ramírez-Valverde, Carlos, Horvatic, Jasminka, Pristas, Irina, Paphitou, Niki, Rummukainen, Maija-Liisa, Froissart, Antoine, Vanhems, Philippe, Pagava, Karaman, Korinteli, Irma, Brandt, Tobias, Gaertner, Johannes, Enimil, Anthony, Roilides, Emmanuel, Hajdú, Edit, Sengupta, Sharmila, Singh, Sanjeev, Patil, Priyanka, Poojary, Aruna, Soltani, Jafar, Pouladfar, Gholamreza, Jafarpour, Zahra, Alinia, Cyrus, Ameen, Hadi, Fitzgerald, David, Paul, Mical, Maor, Yasmin, Strahilevitz, Jacob, Chowers, Michal, Temkin, Elizabeth, Luca, Arnoldo, Ishibashi, Noriomi, Gu, Yoshiaki, Darwish Elhajji, Feras, Karabukayeva, Aizhan, Raka, Denis, Kambaralieva, Baktygul, Zarakauska, Lelde, Zarb, Peter, Hernandez Chena, Blanca Estela, Gonzalez-Diaz, Esteban, Corona-Meléndez, JuanCarlos, Torres Erazo, Darwin Stalin, Loza-Jalil, Suria Elizabeth, Molina, Julio, Candelas, Jose Antonio, Mijovic, Gordana, Duborija-Kovacevic, Natasa, Jong, Eefje, Kluytmans, Jan, van Elzakker, Erika, Schweitzer, Valentijn, Davies, Nicola, Iregbu, Kenneth, Nwajiobi-Princewill, Philip, Nwafia, Ifeyinwa, Fasuyi, Temitayo, Aboderin, Aaron, Elikwu, Charles John, Fadeyi, Abayomi, Ola-Bello, Olafoyekemi, Oduyebo, Oyinlola, Adedosu, Akin Nelson, Ekuma, Agantem, Shaqiri, Erjona, Saleem, Zikria, De Los Reyes, Mari Rose, Tavares, Luis, Kim, Nam Joong, Rachina, Svetlana, Alharthi, Alwaleed R., Enani, Mushira, Faried, Osama, Mirghani, Mohamed, Carevic, Biljana, Radulovic, Lili, Dragovac, Gorana, Tan, Sock Hoon, Taljaard, Jantjie, Chibabhai, Vindana, Joiner, Jennifer, Caston, Juan Jose, Núñez-Núñez, María, Martínez-Marcos, Francisco Javier, Ojeda-Burgos, Guillermo, Menendez, Maria Dolores, Retamar, Pilar, Corzo, Juan E., Rattanaumpawan, Pinyo, Salou, Mounerou, Mnif, Basma, Oncul, Ahsen, Babigumira, Peter Ahabwe, Olweny, James, Marshall, Emily, McCorry, Ann, Aldeyab, Mamoon, Khanna, Priya, Gormley, Cairine, Maloney, Sara, Cooper, Mandelin, Blackburn, Laura, Gessner-Wharton, Mallory, Vu, Lam, Greer, Nickie, Gawrys, Gerard, Kronmann, Lisha, Rios, Edgar, Hudson, Melissa, Lindholm, David A., The Global-PPS network, Vriendenkring VUB, Clinical sciences, Microbiology and Infection Control, and Clinical Biology

Subjects
Adult, Microbiology (medical), Point prevalence survey, Latin Americans, education, Population, MEDLINE, World Health Organization, Essential medicines, Antibiotic prescribing, Anti-Infective Agents, Environmental health, Prevalence, Humans, AcademicSubjects/MED00740, Medicine, Pharmacology (medical), Medical prescription, Biology, Original Research, Pharmacology, education.field_of_study, Adult patients, business.industry, Pharmacology. Therapy, Hospitals, Anti-Bacterial Agents, Anti-Bacterial Agents/therapeutic use, AcademicSubjects/MED00290, Infectious Diseases, Human medicine, AcademicSubjects/MED00230, business
Abstract

ObjectivesThe WHO Access, Watch and Reserve (AWaRe) classification has been developed to support countries and hospitals in promoting rational use of antibiotics while improving access to these essential medicines. We aimed to describe patterns of worldwide antibiotic use according to the AWaRe classification in the adult inpatient population.MethodsThe Global Point Prevalence Survey on Antimicrobial Consumption and Resistance (Global-PPS) collects hospital antibiotic use data using a standardized PPS methodology. Global-PPS 2015, 2017 and 2018 data, collected by 664 hospitals in 69 countries, were categorized into AWaRe groups to calculate proportional AWaRe use, Access-to-Watch ratios and the most common indications for treatment with selected Watch antibiotics. Only prescriptions for systemic antibiotics on adult inpatient wards were analysed.ResultsRegional Access use ranged from 28.4% in West and Central Asia to 57.7% in Oceania, whereas Watch use was lowest in Oceania (41.3%) and highest in West and Central Asia (66.1%). Reserve use ranged from 0.03% in sub-Saharan Africa to 4.7% in Latin America. There were large differences in AWaRe prescribing at country level. Watch antibiotics were prescribed for a range of very different indications worldwide, both for therapeutic and prophylactic use.ConclusionsWe observed considerable variations in AWaRe prescribing and high use of Watch antibiotics, particularly in lower- and upper-middle-income countries, followed by high-income countries. The WHO AWaRe classification has an instrumental role to play in local and national stewardship activities to assess prescribing patterns and to inform and evaluate stewardship activities.

Published
2021

5. Point prevalence survey of antimicrobial use and healthcare-associated infections in Belgian acute care hospitals : results of the Global-PPS and ECDC-PPS 2017

Author

Vandael, Eline, Latour, Katrien, Goossens, Herman, Magerman, Koen, Drapier, Nico, Catry, Boudewijn, Versporten, Ann, Andre, Marie, Aouachria, Samy, Aoun, Mickael, Bafort, Kristof, Bartholomeus, Sofie, Blumental, Sophie, Bothy, Anais, Brands, Christiane, Brassinne, Laetitia, Briquet, Caroline, Cartuyvels, Reinoud, Ceyssens, Clara, Cooreman, Sarah, Decleire, Pierre-Yves, Declercq, Philippe, De Cooman, Liesbeth, De Cuyper, Inge, Degraeve, Dirk, Delaere, Benedicte, Delvallee, Melanie, Desmedt, Marjoleine, Diaz, Victoria, Dragos, Ilisei, Dugernier, Thierry, Elsen, Elodie, Filippin, Lorenzo, Firre, Eric, Frans, Johan, Gabriels, Patrick, Gadisseux, Philippe, Gerard, Michele, Glibert, Bart, Goegebuer, Truus, Gonissen, Viviane, Harrouk, Antoine, Holemans, Xavier, Honore, Aline, Ide, Louis, Jansens, Hilde, Kidd, Francois, Koch, Annelies, Konopnicki, Deborah, Lefevre, Philippe, Lespagnard, Marc, Lorent, Sophie, Maillart, Evelyne, Mallet, Martine, Markowicz, Samuel, Mathieu, Delphine, Michel, Philippe, Noirhomme, Severine, Papin, Pauline, Piette, Anne, Pollet, Leen, Rossi, Camelia, Schatt, Patricia, Sermijn, Erica, Sterckx, Astrid, Steyaert, Sophia, Swinnen, Walter, Teixeira Lopes, Liliana, Thoelen, Inge, Turkova, Myriam, Van den Abeele, Anne-Marie, Van den Berg, Valerie, Van der beek, Danielle, Vanderper, Vanessa, Vandevelde, Marc, Vandewal, Wouter, Van Herendael, Bruno, Vanheule, Geert, Van Hoecke, Frederik, Van Kerkhoven, Dana, Van Liedekerke, Ann, Vanneste, Lorenz, Vekemans, Marc, Vercheval, Christelle, Verhamme, Katia, Verniest, Thessa, Westerlinck, Veerle, Wybo, Ingrid, Belgian Point Prevalence Survey, Swinnen, Walter/0000-0001-5387-149X, and Vriendenkring VUB

Subjects
Male, Antibiotics, Drug resistance, Antimicrobial Stewardship, Medical microbiology, Drug Utilization Review, Belgium, Risk Factors, Acute care, Antimicrobial consumption, Prevalence, Medicine, Pharmacology (medical), Pharmacology & Pharmacy, Point prevalence survey, Child, health care economics and organizations, Public, Environmental & Occupational Health, Medicine(all), Aged, 80 and over, Cross Infection, Pharmacology. Therapy, Middle Aged, Antimicrobial, Anti-Bacterial Agents, Infectious Diseases, Child, Preschool, Female, Life Sciences & Biomedicine, Microbiology (medical), Adult, medicine.medical_specialty, Adolescent, medicine.drug_class, education, Healthcare-associated infections, Microbiology, lcsh:Infectious and parasitic diseases, Young Adult, Internal medicine, Humans, lcsh:RC109-216, Medical prescription, Biology, Aged, Science & Technology, business.industry, Research, Public Health, Environmental and Occupational Health, Infant, Newborn, Infant, Généralités, medicine.disease, Health Surveys, Confidence interval, Pneumonia, Acute care hospitals, Human medicine, business
Abstract

Background: The point prevalence survey of healthcare-associated infections (HAIs) and antimicrobial use organized by the European Centre for Disease Prevention and Control (ECDC-PPS) and the Global Point Prevalence Survey of antimicrobial consumption (Global-PPS) were simultaneously performed in Belgian acute care hospitals in 2017. Methods: Belgian acute care hospitals were invited to participate in either the ECDC or Global-PPS. Hospital/ward/patient-level data were collected between September-December 2017. All patients present in the wards at 8 a.m. on the day of the PPS were included. The data of the ECDC and Global-PPS on antimicrobial consumption were pooled. Detailed data on HAIs were analysed for ECDC-PPS. Results: Overall, 110 Belgian acute care hospital sites participated in the ECDC and Global-PPS (countrywide participation rate: 81.4%, 28,007 patients). Overall, a crude prevalence of patients with at least one antimicrobial of 27.1% (95% confidence interval (CI) 26.5-27.6%) was found. The most frequently reported indications were pneumonia (23.2%), urinary tract infections (15.2%) and skin and soft tissue infections (11.9%). The reason for antimicrobial use was recorded for 81.9% of the prescriptions, a stop/review date for 40.8% and compliance with local antibiotic guidelines for 76.6%. In the ECDC-PPS, the crude prevalence of patients with at least one HAI was 7.3% (95%CI 6.8-7.7%). Most frequently reported HAIs were pneumonia (21.6%) and urinary tract infections (21.3%). Conclusions: HAI and antimicrobial use prevalence remained stable in comparison with the previous PPS (7.1% and 27.4% in 2011 and 2015, respectively). Belgian hospitals should be further stimulated to set local targets to improve antibiotic prescribing and reduce HAI., SCOPUS: ar.j, info:eu-repo/semantics/published

Published
2020

6. An Outpatient Clinic as a Potential Site of Transmission for an Outbreak of New Delhi Metallo-β-Lactamase-producing Klebsiella pneumoniae Sequence Type 716: A Study Using Whole-genome Sequencing

Author

Heinrichs, Amélie, Argudín, María Ángeles M.A., De Mendonça, Ricardo, Deplano, Ariane, Roisin, Sandrine, Dodemont, Magali, Coussement, Julien, Filippin, Lorenzo, Dombrecht, Jill, De Bruyne, Katrien, Huang, Te-Din, Supply, Philip, Byl, Baudouin, Glupczynski, Youri, Denis, Olivier, Heinrichs, Amélie, Argudín, María Ángeles M.A., De Mendonça, Ricardo, Deplano, Ariane, Roisin, Sandrine, Dodemont, Magali, Coussement, Julien, Filippin, Lorenzo, Dombrecht, Jill, De Bruyne, Katrien, Huang, Te-Din, Supply, Philip, Byl, Baudouin, Glupczynski, Youri, and Denis, Olivier

Abstract

Background The incidence of nosocomial infections due to carbapenem-resistant Klebsiella pneumoniae is increasing worldwide. Whole-genome sequencing (WGS) can help elucidate the transmission route of nosocomial pathogens. Methods We combined WGS and epidemiological data to analyze an outbreak of New Delhi metallo-β-lactamase (NDM)-producing K. pneumoniae that occurred in 2 Belgian hospitals situated about 50 miles apart. We characterized 74 NDM-producing K. pneumoniae isolates (9 from hospital A, 24 from hospital B, and 41 contemporary isolates from 15 other Belgian hospitals) using pulsed-field gel electrophoresis and WGS. Results A K. pneumoniae sequence type 716 clone was identified as being responsible for the outbreak with all 9 strains from hospital A and 20 of 24 from hospital B sharing a unique pulsotype and being clustered together at WGS (compared with 1 of 41 isolates from other Belgian hospitals). We identified the outpatient clinic of hospital B as the probable bridging site between the hospitals after combining epidemiological, phylogenetic, and resistome data. We also identified the patient who probably caused the transmission. In fact, all but 1 strain from hospital A carried a Tn1331-like transposon, whereas none of the hospital B isolates did. The patient from hospital A who did not have the Tn1331-like transposon was treated at the outpatient clinic of hospital B on the same day as the first NDM-producing K. pneumoniae-positive patient from hospital B. Conclusions The results from our WGS-guided investigation highlight the importance of implementing adequate infection control measures in outpatient settings, especially when healthcare delivery moves from acute care facilities to outpatient clinics., SCOPUS: ar.j, info:eu-repo/semantics/published

Published
2019

7. An outpatient clinic as a potential site of transmission for an outbreak of NDM-producing Klebsiella pneumoniae ST716: a study using whole-genome sequencing

Author

Heinrichs, Amélie, Argudín, Maria Angeles, De Mendonça, Ricardo, Deplano, Ariane, Roisin, Sandrine, Dodémont, Magali, Coussement, Julien, Filippin, Lorenzo, Dombrecht, Jill, De Bruyne, Katrien, Huang, Te-Din, Supply, Philip, Byl, Baudouin, Glupczynski, Gerald, Denis, Olivier, UCL - SSS/IREC/MONT - Pôle Mont Godinne, and UCL - (MGD) Laboratoire de biologie clinique

Abstract

The incidence of nosocomial infections due to carbapenem-resistant Klebsiella pneumoniae is increasing worldwide. Whole genome sequencing (WGS) can help elucidate the transmission route of nosocomial pathogens. We combined WGS and epidemiological data to analyze an outbreak of NDM-producing K. pneumoniae that occurred in two Belgian hospitals situated about 50 miles apart. We characterized 74 NDM-producing K. pneumoniae isolates [Hospital A (n=9); Hospital B (n=24) and 41 contemporary isolates from 15 other Belgian hospitals] using pulsed-field gel electrophoresis and WGS. A K. pneumoniae ST716 clone was identified as being responsible for the outbreak with 9/9 strains from Hospital A and 20/24 strains from Hospital B sharing a unique pulsotype and being clustered together on WGS (compared with 1/41 isolates from other Belgian hospitals). We identified the outpatient clinic of Hospital B as the probable bridging site between the hospitals after combining epidemiological, phylogenetic and resistome data. We also identified the patient who probably caused the transmission. In fact, all but one strain from Hospital A carried a Tn1331-like transposon, whereas none of the Hospital B isolates did. The patient from Hospital A who did not have the Tn1331-like transposon was treated at the outpatient clinic of Hospital B on the same day as the first NDM-producing K. pneumoniae positive patient from Hospital B. The results from our WGS-guided investigation highlight the importance of implementing adequate infection control measures in outpatient settings, especially when healthcare delivery moves from acute care facilities to outpatient clinics.

Published
2018

8. An outpatient clinic as a potential site of transmission for an outbreak of NDM-producing Klebsiella pneumoniae ST716: a study using whole-genome sequencing.

Author

UCL - SSS/IREC/MONT - Pôle Mont Godinne, UCL - (MGD) Laboratoire de biologie clinique, Heinrichs, Amélie, Argudín, Maria Angeles, De Mendonça, Ricardo, Deplano, Ariane, Roisin, Sandrine, Dodémont, Magali, Coussement, Julien, Filippin, Lorenzo, Dombrecht, Jill, De Bruyne, Katrien, Huang, Te-Din, Supply, Philip, Byl, Baudouin, Glupczynski, Gerald, Denis, Olivier, UCL - SSS/IREC/MONT - Pôle Mont Godinne, UCL - (MGD) Laboratoire de biologie clinique, Heinrichs, Amélie, Argudín, Maria Angeles, De Mendonça, Ricardo, Deplano, Ariane, Roisin, Sandrine, Dodémont, Magali, Coussement, Julien, Filippin, Lorenzo, Dombrecht, Jill, De Bruyne, Katrien, Huang, Te-Din, Supply, Philip, Byl, Baudouin, Glupczynski, Gerald, and Denis, Olivier

Abstract

The incidence of nosocomial infections due to carbapenem-resistant Klebsiella pneumoniae is increasing worldwide. Whole genome sequencing (WGS) can help elucidate the transmission route of nosocomial pathogens. We combined WGS and epidemiological data to analyze an outbreak of NDM-producing K. pneumoniae that occurred in two Belgian hospitals situated about 50 miles apart. We characterized 74 NDM-producing K. pneumoniae isolates [Hospital A (n=9); Hospital B (n=24) and 41 contemporary isolates from 15 other Belgian hospitals] using pulsed-field gel electrophoresis and WGS. A K. pneumoniae ST716 clone was identified as being responsible for the outbreak with 9/9 strains from Hospital A and 20/24 strains from Hospital B sharing a unique pulsotype and being clustered together on WGS (compared with 1/41 isolates from other Belgian hospitals). We identified the outpatient clinic of Hospital B as the probable bridging site between the hospitals after combining epidemiological, phylogenetic and resistome data. We also identified the patient who probably caused the transmission. In fact, all but one strain from Hospital A carried a Tn1331-like transposon, whereas none of the Hospital B isolates did. The patient from Hospital A who did not have the Tn1331-like transposon was treated at the outpatient clinic of Hospital B on the same day as the first NDM-producing K. pneumoniae positive patient from Hospital B. The results from our WGS-guided investigation highlight the importance of implementing adequate infection control measures in outpatient settings, especially when healthcare delivery moves from acute care facilities to outpatient clinics.

Published
2018

9. An Outpatient Clinic as a Potential Site of Transmission for an Outbreak of New Delhi Metallo-β-Lactamase–producingKlebsiella pneumoniaeSequence Type 716: A Study Using Whole-genome Sequencing

Author

Heinrichs, Amélie, primary, Argudín, Maria Angeles, additional, De Mendonça, Ricardo, additional, Deplano, Ariane, additional, Roisin, Sandrine, additional, Dodémont, Magali, additional, Coussement, Julien, additional, Filippin, Lorenzo, additional, Dombrecht, Jill, additional, De Bruyne, Katrien, additional, Huang, Te-Din, additional, Supply, Philip, additional, Byl, Baudouin, additional, Glupczynski, Youri, additional, and Denis, Olivier, additional

Published
2018
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10. Outpatient Clinic as a Potential Site of Transmission for an Outbreak of New Delhi Metallo-β-Lactamase–producing Klebsiella pneumoniae Sequence Type 716: A Study Using Whole-genome Sequencing.

Author

Heinrichs, Amélie, Argudín, Maria Angeles, Mendonça, Ricardo De, Deplano, Ariane, Roisin, Sandrine, Dodémont, Magali, Coussement, Julien, Filippin, Lorenzo, Dombrecht, Jill, Bruyne, Katrien De, Huang, Te-Din, Glupczynski, Youri, Supply, Philip, Byl, Baudouin, and Denis, Olivier

Subjects
PNEUMONIA diagnosis, CROSS infection, DNA, DISEASE outbreaks, MEDICAL care, PHYLOGENY, NOSOCOMIAL infections, PNEUMONIA, PULSED-field gel electrophoresis, DISEASE incidence, SEQUENCE analysis, DIAGNOSIS, INFECTIOUS disease transmission
Abstract

Background The incidence of nosocomial infections due to carbapenem-resistant Klebsiella pneumoniae is increasing worldwide. Whole-genome sequencing (WGS) can help elucidate the transmission route of nosocomial pathogens. Methods We combined WGS and epidemiological data to analyze an outbreak of New Delhi metallo-β-lactamase (NDM)–producing K. pneumoniae that occurred in 2 Belgian hospitals situated about 50 miles apart. We characterized 74 NDM-producing K. pneumoniae isolates (9 from hospital A, 24 from hospital B, and 41 contemporary isolates from 15 other Belgian hospitals) using pulsed-field gel electrophoresis and WGS. Results A K. pneumoniae sequence type 716 clone was identified as being responsible for the outbreak with all 9 strains from hospital A and 20 of 24 from hospital B sharing a unique pulsotype and being clustered together at WGS (compared with 1 of 41 isolates from other Belgian hospitals). We identified the outpatient clinic of hospital B as the probable bridging site between the hospitals after combining epidemiological, phylogenetic, and resistome data. We also identified the patient who probably caused the transmission. In fact, all but 1 strain from hospital A carried a Tn 1331-like transposon, whereas none of the hospital B isolates did. The patient from hospital A who did not have the Tn 1331-like transposon was treated at the outpatient clinic of hospital B on the same day as the first NDM-producing K. pneumoniae –positive patient from hospital B. Conclusions The results from our WGS-guided investigation highlight the importance of implementing adequate infection control measures in outpatient settings, especially when healthcare delivery moves from acute care facilities to outpatient clinics. [ABSTRACT FROM AUTHOR]

Published
2019
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11. Evaluation of the automated Vitek 2 system for detection of various mechanisms of macrolide and lincosamide resistance in Staphylococcus aureus

Author

Filippin, Lorenzo, Roisin, Sandrine, Nonhoff, Claire, Vandendriessche, Stien, Heinrichs, Amélie, Denis, Olivier, Filippin, Lorenzo, Roisin, Sandrine, Nonhoff, Claire, Vandendriessche, Stien, Heinrichs, Amélie, and Denis, Olivier

Abstract

We evaluated the performance of the automated Vitek 2 system against disk diffusion for susceptibility testing of Staphylococcus aureus strains showing various resistance mechanisms to macrolides and lincosamides (ML). The Vitek 2 system showed 100% concordance with the D-zone test in detection of the most common resistance mechanisms to ML, including methylase and efflux systems., SCOPUS: ar.j, info:eu-repo/semantics/published

Published
2014

12. New red blood cell automated parameters for iron deficiency screening in chronic inflammatory disease

Author

19th Congress of Euromean Hematology Association (12-15 juin 2014: Milan, Italie), Lazarova, Elena, Heinrichs, Amélie, Filippin, Lorenzo, Pradier, Olivier, Franchimont, Denis, Gulbis, Béatrice, 19th Congress of Euromean Hematology Association (12-15 juin 2014: Milan, Italie), Lazarova, Elena, Heinrichs, Amélie, Filippin, Lorenzo, Pradier, Olivier, Franchimont, Denis, and Gulbis, Béatrice

Abstract

info:eu-repo/semantics/nonPublished

Published
2014

13. Test de génération de thrombine: importance d'établir les valeurs de référence en fonction de l'âge et des concentrations en facteur tissulaire avant l'implémentation au laboratoire.

Author

Filippin, Lorenzo, Debaugnies, France, Noubouossie, Fondjie-Denis, Lê, Phu Quoc, Ferster, Alina, Demulder, Anne, Filippin, Lorenzo, Debaugnies, France, Noubouossie, Fondjie-Denis, Lê, Phu Quoc, Ferster, Alina, and Demulder, Anne

Abstract

The calibrated and automated thrombinography (CAT) developed by H.C. Hemker is a simple and reproducible technique that can be potentially used in coagulation laboratories. This test is able to record the complete thrombin generation in vitro, giving an interesting approach in the evaluation of the haemostatic potential at the individual level. We aimed to implement this test in our laboratory to follow patients with haemorrhagic or thrombotic pathologies. Haemorrhagic and thrombotic disorders are incompletely explored by the coagulation tests used presently in routine labs. These tests don't indeed reflect the real haemostatic phenotype of the patient neither the individual response to haemostatic treatments. Furthermore, they don't have any predictive value for the occurrence of haemorrhage and/or thrombosis. We report here reference values we established in a population of children and adults in pre-analytical conditions easily applicable in coagulation labs. Platelet poor plasma is prepared by a double centrifugation and analyzed immediately or frozen at -80 degrees C for delayed analysis., English Abstract, Journal Article, SCOPUS: ar.j, info:eu-repo/semantics/published

Published
2011

14. An Outpatient Clinic as a Potential Site of Transmission for an Outbreak of New Delhi Metallo-β-Lactamase-producing Klebsiella pneumoniae Sequence Type 716: A Study Using Whole-genome Sequencing.

Author

Heinrichs A, Argudín MA, De Mendonça R, Deplano A, Roisin S, Dodémont M, Coussement J, Filippin L, Dombrecht J, De Bruyne K, Huang TD, Supply P, Byl B, Glupczynski Y, and Denis O

Subjects
Cluster Analysis, Computational Biology methods, Drug Resistance, Bacterial, Genome, Bacterial, Humans, Klebsiella Infections transmission, Klebsiella pneumoniae drug effects, Klebsiella pneumoniae isolation & purification, Microbial Sensitivity Tests, Molecular Sequence Annotation, Whole Genome Sequencing, beta-Lactamases genetics, Ambulatory Care Facilities, Cross Infection, Disease Outbreaks, Klebsiella Infections epidemiology, Klebsiella Infections microbiology, Klebsiella pneumoniae classification, Klebsiella pneumoniae genetics
Abstract

Background: The incidence of nosocomial infections due to carbapenem-resistant Klebsiella pneumoniae is increasing worldwide. Whole-genome sequencing (WGS) can help elucidate the transmission route of nosocomial pathogens., Methods: We combined WGS and epidemiological data to analyze an outbreak of New Delhi metallo-β-lactamase (NDM)-producing K. pneumoniae that occurred in 2 Belgian hospitals situated about 50 miles apart. We characterized 74 NDM-producing K. pneumoniae isolates (9 from hospital A, 24 from hospital B, and 41 contemporary isolates from 15 other Belgian hospitals) using pulsed-field gel electrophoresis and WGS., Results: A K. pneumoniae sequence type 716 clone was identified as being responsible for the outbreak with all 9 strains from hospital A and 20 of 24 from hospital B sharing a unique pulsotype and being clustered together at WGS (compared with 1 of 41 isolates from other Belgian hospitals). We identified the outpatient clinic of hospital B as the probable bridging site between the hospitals after combining epidemiological, phylogenetic, and resistome data. We also identified the patient who probably caused the transmission. In fact, all but 1 strain from hospital A carried a Tn1331-like transposon, whereas none of the hospital B isolates did. The patient from hospital A who did not have the Tn1331-like transposon was treated at the outpatient clinic of hospital B on the same day as the first NDM-producing K. pneumoniae-positive patient from hospital B., Conclusions: The results from our WGS-guided investigation highlight the importance of implementing adequate infection control measures in outpatient settings, especially when healthcare delivery moves from acute care facilities to outpatient clinics., (© The Author(s) 2018. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail: journals.permissions@oup.com.)

Published
2019
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15. Evaluation of the automated Vitek 2 system for detection of various mechanisms of macrolide and lincosamide resistance in Staphylococcus aureus.

Author

Filippin L, Roisin S, Nonhoff C, Vandendriessche S, Heinrichs A, and Denis O

Subjects
Humans, Phenotype, Staphylococcus aureus growth & development, Anti-Bacterial Agents pharmacology, Automation, Laboratory methods, Lincosamides pharmacology, Macrolides pharmacology, Microbial Sensitivity Tests methods, Staphylococcus aureus drug effects
Abstract

We evaluated the performance of the automated Vitek 2 system against disk diffusion for susceptibility testing of Staphylococcus aureus strains showing various resistance mechanisms to macrolides and lincosamides (ML). The Vitek 2 system showed 100% concordance with the D-zone test in detection of the most common resistance mechanisms to ML, including methylase and efflux systems., (Copyright © 2014, American Society for Microbiology. All Rights Reserved.)

Published
2014
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