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4. Influenza Infection and Acute Myocardial Infarction

Author

Infection & Immunity, Epi Infectieziekten Team 1, MMB Zorg, MMB opleiding Arts microbioloog, Child Health, JC onderzoeksprogramma Methodologie, Cardiometabolic Health, Circulatory Health, JC onderzoeksprogramma Cardiovasculaire Epidemiologie, JC onderzoeksprogramma Infectieziekten, de Boer, Annemarijn R, Riezebos-Brilman, Annelies, van Hout, Denise, van Mourik, Maaike S M, Rümke, Lidewij W, de Hoog, Marieke L A, Vaartjes, Ilonca, Bruijning-Verhagen, Patricia C J L, Infection & Immunity, Epi Infectieziekten Team 1, MMB Zorg, MMB opleiding Arts microbioloog, Child Health, JC onderzoeksprogramma Methodologie, Cardiometabolic Health, Circulatory Health, JC onderzoeksprogramma Cardiovasculaire Epidemiologie, JC onderzoeksprogramma Infectieziekten, de Boer, Annemarijn R, Riezebos-Brilman, Annelies, van Hout, Denise, van Mourik, Maaike S M, Rümke, Lidewij W, de Hoog, Marieke L A, Vaartjes, Ilonca, and Bruijning-Verhagen, Patricia C J L

Published
2024

5. Influenza Infection and Acute Myocardial Infarction.

Author

de Boer, Annemarijn R., Riezebos-Brilman, Annelies, van Hout, Denise, van Mourik, Maaike S. M., Rümke, Lidewij W., de Hoog, Marieke L. A., Vaartjes, Ilonca, and Bruijning-Verhagen, Patricia C. J. L.

Subjects
MYOCARDIAL infarction risk factors, INFLUENZA complications, RISK assessment, MYOCARDIAL infarction, SCIENTIFIC observation, POLYMERASE chain reaction, HOSPITAL care, REPORTING of diseases, CORONARY artery disease, CONFIDENCE intervals, COMPARATIVE studies
Abstract

Background: Acute respiratory infections can trigger acute myocardial infarction. We aimed to quantify the association between laboratory-confirmed influenza infection and acute myocardial infarction, particularly in patients with and without known coronary artery disease. Methods: This observational, registry-based, self-controlled case series study evaluated the association between laboratory-confirmed influenza infection and occurrence of acute myocardial infarction. Laboratory records on respiratory virus polymerase chain reaction (PCR) testing from 16 laboratories across the Netherlands were linked to national mortality, hospitalization, medication, and administrative registries. Influenza infection was defined as a positive PCR test result. Acute myocardial infarction was defined as a registered diagnostic code for either acute myocardial infarction hospitalization or death. Using a self-controlled case series method, we then compared the incidence of acute myocardial infarction during the risk period (days 1 to 7 after influenza infection) versus the control period (1 year before and 51 weeks after the risk period). Results: Between 2008 and 2019, we identified 158,777 PCR tests for influenza in the study population; 26,221 were positive for influenza, constituting 23,405 unique influenza illness episodes. A total of 406 episodes were identified with acute myocardial infarction occurring within 1 year before and 1 year after confirmed influenza infection and were included in analysis. Twenty-five cases of acute myocardial infarction occurred during the risk period versus 394 during the control period. The adjusted relative incidence of acute myocardial infarction during the risk period compared with the control period was 6.16 (95% confidence interval [CI], 4.11 to 9.24). The relative incidence of acute myocardial infarction in individuals without prior hospitalization for coronary artery disease was 16.60 (95% CI, 10.45 to 26.37) compared with 1.43 (95% CI, 0.53 to 3.84) for those with prior admission for coronary artery disease. Conclusions: Influenza infection was associated with an increased risk of acute myocardial infarction, especially in individuals without a prior hospitalization for coronary artery disease. (Funded by the Dutch Research Council [NWO].) [ABSTRACT FROM AUTHOR]

Published
2024
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7. The augmented value of using clinical notes in semi-automated surveillance of deep surgical site infections after colorectal surgery

Author

Verberk, Janneke D. M., van der Werff, Suzanne D., Weegar, Rebecka, Henriksson, Aron, Richir, Milan C., Buchli, Christian, van Mourik, Maaike S. M., Naucler, Pontus, Verberk, Janneke D. M., van der Werff, Suzanne D., Weegar, Rebecka, Henriksson, Aron, Richir, Milan C., Buchli, Christian, van Mourik, Maaike S. M., and Naucler, Pontus

Abstract

BackgroundIn patients who underwent colorectal surgery, an existing semi-automated surveillance algorithm based on structured data achieves high sensitivity in detecting deep surgical site infections (SSI), however, generates a significant number of false positives. The inclusion of unstructured, clinical narratives to the algorithm may decrease the number of patients requiring manual chart review. The aim of this study was to investigate the performance of this semi-automated surveillance algorithm augmented with a natural language processing (NLP) component to improve positive predictive value (PPV) and thus workload reduction (WR).MethodsRetrospective, observational cohort study in patients who underwent colorectal surgery from January 1, 2015, through September 30, 2020. NLP was used to detect keyword counts in clinical notes. Several NLP-algorithms were developed with different count input types and classifiers, and added as component to the original semi-automated algorithm. Traditional manual surveillance was compared with the NLP-augmented surveillance algorithms and sensitivity, specificity, PPV and WR were calculated.ResultsFrom the NLP-augmented models, the decision tree models with discretized counts or binary counts had the best performance (sensitivity 95.1% (95%CI 83.5-99.4%), WR 60.9%) and improved PPV and WR by only 2.6% and 3.6%, respectively, compared to the original algorithm.ConclusionsThe addition of an NLP component to the existing algorithm had modest effect on WR (decrease of 1.4-12.5%), at the cost of sensitivity. For future implementation it will be a trade-off between optimal case-finding techniques versus practical considerations such as acceptability and availability of resources.

Published
2023
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8. The augmented value of using clinical notes in semi-automated surveillance of deep surgical site infections after colorectal surgery

Author

Epi Infectieziekten, MS CGO, Cancer, MMB Medische Staf, Infection & Immunity, Verberk, Janneke D M, van der Werff, Suzanne D, Weegar, Rebecka, Henriksson, Aron, Richir, Milan C, Buchli, Christian, van Mourik, Maaike S M, Nauclér, Pontus, Epi Infectieziekten, MS CGO, Cancer, MMB Medische Staf, Infection & Immunity, Verberk, Janneke D M, van der Werff, Suzanne D, Weegar, Rebecka, Henriksson, Aron, Richir, Milan C, Buchli, Christian, van Mourik, Maaike S M, and Nauclér, Pontus

Published
2023

9. Erratum: Semiautomated surveillance of deep surgical site infections after colorectal surgeries: A multicenter external validation of two surveillance algorithms (Infection Control & Hospital Epidemiology (2023) 44: 4 (616-623) DOI: 10.1017/ice.2022.147)

Author

MMB Onderzoek en Onderwijs, MMB, MMB opleiding Arts microbioloog, Epi Infectieziekten, Infection & Immunity, Epidemiology of Sepsis & Inflammation in Critically Ill Patients, JC onderzoeksprogramma Infectieziekten, MMB Medische Staf, Verberk, Janneke D M, van der Kooi, Tjallie I I, Hetem, David J, Oostdam, Nicolette E W M, Noordergraaf, Mieke, de Greeff, Sabine C, Bonten, Marc J M, van Mourik, Maaike S M, MMB Onderzoek en Onderwijs, MMB, MMB opleiding Arts microbioloog, Epi Infectieziekten, Infection & Immunity, Epidemiology of Sepsis & Inflammation in Critically Ill Patients, JC onderzoeksprogramma Infectieziekten, MMB Medische Staf, Verberk, Janneke D M, van der Kooi, Tjallie I I, Hetem, David J, Oostdam, Nicolette E W M, Noordergraaf, Mieke, de Greeff, Sabine C, Bonten, Marc J M, and van Mourik, Maaike S M

Published
2023

10. Semiautomated surveillance of deep surgical site infections after colorectal surgeries: A multicenter external validation of two surveillance algorithms

Author

MMB Onderzoek en Onderwijs, MMB, MMB opleiding Arts microbioloog, Epi Infectieziekten, Infection & Immunity, Epidemiology of Sepsis & Inflammation in Critically Ill Patients, JC onderzoeksprogramma Infectieziekten, MMB Medische Staf, Verberk, Janneke D M, van der Kooi, Tjallie I I, Hetem, David J, Oostdam, Nicolette E W M, Noordergraaf, Mieke, de Greeff, Sabine C, Bonten, Marc J M, van Mourik, Maaike S M, MMB Onderzoek en Onderwijs, MMB, MMB opleiding Arts microbioloog, Epi Infectieziekten, Infection & Immunity, Epidemiology of Sepsis & Inflammation in Critically Ill Patients, JC onderzoeksprogramma Infectieziekten, MMB Medische Staf, Verberk, Janneke D M, van der Kooi, Tjallie I I, Hetem, David J, Oostdam, Nicolette E W M, Noordergraaf, Mieke, de Greeff, Sabine C, Bonten, Marc J M, and van Mourik, Maaike S M

Published
2023

13. Reliability and validity of multicentre surveillance of surgical site infections after colorectal surgery.

Author

Verberk, Janneke D M, van Rooden, Stephanie M, Hetem, David J, Wunderink, Herman F, Vlek, Anne L M, Meijer, Corianne, van Ravensbergen, Eva A H, Huijskens, Elisabeth G W, Vainio, Saara J, Bonten, Marc J M, van Mourik, Maaike S M, Verberk, Janneke D M, van Rooden, Stephanie M, Hetem, David J, Wunderink, Herman F, Vlek, Anne L M, Meijer, Corianne, van Ravensbergen, Eva A H, Huijskens, Elisabeth G W, Vainio, Saara J, Bonten, Marc J M, and van Mourik, Maaike S M

Published
2022

14. PRAISE: providing a roadmap for automated infection surveillance in Europe

Author

van Mourik, Maaike S M, van Rooden, Stephanie M, Abbas, Mohamed, Aspevall, Olov, Astagneau, Pascal, Bonten, Marc J M, Carrara, Elena, Gomila-Grange, Aina, de Greeff, Sabine C, Gubbels, Sophie, Harrison, Wendy, Humphreys, Hilary, Johansson, Anders, Koek, Mayke B G, Kristensen, Brian, Lepape, Alain, Lucet, Jean-Christophe, Mookerjee, Siddharth, Naucler, Pontus, Palacios-Baena, Zaira R, Presterl, Elisabeth, Pujol, Miquel, Reilly, Jacqui, Roberts, Christopher, Tacconelli, Evelina, Teixeira, Daniel, Tängdén, Thomas, Valik, John Karlsson, Behnke, Michael, Gastmeier, Petra, PRAISE network, ZonMw, Innovative Medicines Initiative, European Commission, European Federation of Pharmaceutical Industries and Associations, VINNOVA (Sweden), Pfizer, Astellas Pharma, University Medical Center [Utrecht], National Institute for Public Health and the Environment [Bilthoven] (RIVM), Geneva University Hospital (HUG), Public Health Agency of Sweden, Centre d'appui pour la prévention des infections associées aux soins [Île-de-France] (Cpias Île-de-France), Sorbonne Université - Faculté de Médecine (SU FM), Sorbonne Université (SU), Department of Diagnostics and Public Health [Verona] (UNIVR | DDSP), University of Verona (UNIVR), Institut d'Investigació Biomèdica de Bellvitge [Barcelone] (IDIBELL), Statens Serum Institut [Copenhagen], Public Health Wales, Royal College of Surgeons in Ireland (RCSI), Umeå University, Centre Hospitalier Lyon Sud [CHU - HCL] (CHLS), Hospices Civils de Lyon (HCL), AP-HP - Hôpital Bichat - Claude Bernard [Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Hammersmith Hospital NHS Imperial College Healthcare, Karolinska Institutet [Stockholm], Karolinska University Hospital [Stockholm], Biomedicine Institute of Sevilla [Seville, Spain], Medizinische Universität Wien = Medical University of Vienna, Glasgow Caledonian University (GCU), German Center for Infectious Research - partner site Tübingen [Tübingen, Allemagne] (DZIF), Universitätsklinikum Tübingen - University Hospital of Tübingen, Eberhard Karls Universität Tübingen = Eberhard Karls University of Tuebingen, Uppsala Universitet [Uppsala], Charité - UniversitätsMedizin = Charité - University Hospital [Berlin], Freie Universität Berlin, and Humboldt-Universität zu Berlin

Subjects
Infektionsmedicin, Medical care, MESH: Infection Control, Automation, 0302 clinical medicine, MESH: Automation, Bloodstream infection, Infection control, 030212 general & internal medicine, Praise, media_common, 0303 health sciences, Cross Infection, Data, Surveillance, virus diseases, General Medicine, Quality, Infeccions, 3. Good health, Europe, Infectious Diseases, Vigilància electrònica, Epidemiological Monitoring, Electronic surveillance, Medical emergency, Surgical site infection, Microbiology (medical), Healthcare associated infections, Automated, Infectious Medicine, animal structures, media_common.quotation_subject, Electronic health record, Infections, 03 medical and health sciences, medicine, Humans, Healthcare-associated infection, Infection surveillance, Infection Control, MESH: Humans, 030306 microbiology, business.industry, MESH: Cross Infection, medicine.disease, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, MESH: Epidemiological Monitoring, MESH: Europe, business
Abstract

[Introduction] Healthcare-associated infections (HAI) are among the most common adverse events of medical care. Surveillance of HAI is a key component of successful infection prevention programmes. Conventional surveillance – manual chart review – is resource intensive and limited by concerns regarding interrater reliability. This has led to the development and use of automated surveillance (AS). Many AS systems are the product of in-house development efforts and heterogeneous in their design and methods. With this roadmap, the PRAISE network aims to provide guidance on how to move AS from the research setting to large-scale implementation, and how to ensure the delivery of surveillance data that are uniform and useful for improvement of quality of care., [Methods] The PRAISE network brings together 30 experts from ten European countries. This roadmap is based on the outcome of two workshops, teleconference meetings and review by an independent panel of international experts., [Results] This roadmap focuses on the surveillance of HAI within networks of healthcare facilities for the purpose of comparison, prevention and quality improvement initiatives. The roadmap does the following: discusses the selection of surveillance targets, different organizational and methodologic approaches and their advantages, disadvantages and risks; defines key performance requirements of AS systems and suggestions for their design; provides guidance on successful implementation and maintenance; and discusses areas of future research and training requirements for the infection prevention and related disciplines. The roadmap is supported by accompanying documents regarding the governance and information technology aspects of implementing AS., [Conclusions] Large-scale implementation of AS requires guidance and coordination within and across surveillance networks. Transitions to large-scale AS entail redevelopment of surveillance methods and their interpretation, intensive dialogue with stakeholders and the investment of considerable resources. This roadmap can be used to guide future steps towards implementation, including designing solutions for AS and practical guidance checklists., This network has been supported under the 7th transnational call within the Joint Programming Initiative on Antimicrobial Resistance (JPIAMR), Network Call on Surveillance (2018) and was thereby funded by ZonMw (grant 549007001). This project also received support from the COMBACTE MAGNET EPI-Net project funded by the Innovative Medicines Initiative Joint Undertaking under grant agreement 115523 | 115620 | 115737 | 777362, resources of which are composed of financial contribution from the European Union Seventh Framework Programme (FP7/2007-2013) and EFPIA companies in kind contribution. J.K.V. was supported by grants from Region Stockholm and Vinnova. H.H. reports grants from Pfizer and Astellas as well as personal fees from Pfizer outside the submitted work.

Published
2021
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18. Governance aspects of large-scale implementation of automated surveillance of healthcare-associated infections

Author

van Rooden, Stephanie M, Aspevall, Olov, Carrara, Elena, Gubbels, Sophie, Johansson, Anders, Lucet, Jean-Christophe, Mookerjee, Siddharth, Palacios-Baena, Zaira R, Presterl, Elisabeth, Tacconelli, Evelina, Abbas, Mohamed, Behnke, Michael, Gastmeier, Petra, van Mourik, Maaike S M, and PRAISE network

Subjects
0301 basic medicine, Microbiology (medical), Healthcare associated infections, Infectious Medicine, Scale (ratio), Computer science, 030106 microbiology, Algorithm, Governance, Healthcare-associated infections, Regulation, Surveillance, Infektionsmedicin, Health records, 03 medical and health sciences, Automation, 0302 clinical medicine, Humans, 030212 general & internal medicine, Cross Infection, Infection Control, Corporate governance, General Medicine, Data science, Europe, Infectious Diseases, Epidemiological Monitoring
Abstract

[Objectives] Surveillance of healthcare-associated infections (HAI) is increasingly automated by applying algorithms to routine-care data stored in electronic health records. Hitherto, initiatives have mainly been confined to single healthcare facilities and research settings, leading to heterogeneity in design. The PRAISE network – Providing a Roadmap for Automated Infection Surveillance in Europe – designed a roadmap to provide guidance on how to move automated surveillance (AS) from the research setting to large-scale implementation. Supplementary to this roadmap, we here discuss the governance aspects of automated HAI surveillance within networks, aiming to support both the coordinating centres and participating healthcare facilities as they set up governance structures and to enhance involvement of legal specialists., [Methods] This article is based on PRAISE network discussions during two workshops. A taskforce was installed that further elaborated governance aspects for AS networks by reviewing documents and websites, consulting experts and organizing teleconferences. Finally, the article has been reviewed by an independent panel of international experts., [Results] Strict governance is indispensable in surveillance networks, especially when manual decisions are replaced by algorithms and electronically stored routine-care data are reused for the purpose of surveillance. For endorsement of AS networks, governance aspects specifically related to AS networks need to be addressed. Key considerations include enabling participation and inclusion, trust in the collection, use and quality of data (including data protection), accountability and transparency., [Conclusions] This article on governance aspects can be used by coordinating centres and healthcare facilities participating in an AS network as a starting point to set up governance structures. Involvement of main stakeholders and legal specialists early in the development of an AS network is important for endorsement, inclusivity and compliance with the laws and regulations that apply.

Published
2021

19. Information technology aspects of large-scale implementation of automated surveillance of healthcare-associated infections

Author

Behnke, Michael, Valik, John Karlsson, Gubbels, Sophie, Teixeira, Daniel, Kristensen, Brian, Abbas, Mohamed, van Rooden, Stephanie M., Gastmeier, Petra, van Mourik, Maaike S. M., Behnke, Michael, Valik, John Karlsson, Gubbels, Sophie, Teixeira, Daniel, Kristensen, Brian, Abbas, Mohamed, van Rooden, Stephanie M., Gastmeier, Petra, and van Mourik, Maaike S. M.

Abstract

Introduction: Healthcare-associated infections (HAI) are a major public health concern. Monitoring of HAI rates, with feedback, is a core component of infection prevention and control programmes. Digitalization of healthcare data has created novel opportunities for automating the HAI surveillance process to varying degrees. However, methods are not standardized and vary widely between different healthcare facilities. Most current automated surveillance (AS) systems have been confined to local settings, and practical guidance on how to implement large-scale AS is needed. Methods: This document was written by a task force formed in March 2019 within the PRAISE network (Providing a Roadmap for Automated Infection Surveillance in Europe), gathering experts in HAI surveillance from ten European countries. Results: The document provides an overview of the key e-health aspects of implementing an AS system of HAI in a clinical environment to support both the infection prevention and control team and information technology (IT) departments. The focus is on understanding the basic principles of storage and structure of healthcare data, as well as the general organization of IT infrastructure in surveillance networks and participating healthcare facilities. The fundamentals of data standardization, interoperability and algorithms in relation to HAI surveillance are covered. Finally, technical aspects and practical examples of accessing, storing and sharing healthcare data within a HAI surveillance network, as well as maintenance and quality control of such a system, are discussed. Conclusions: With the guidance given in this document, along with the PRAISE roadmap and governance documents, readers will find comprehensive support to implement large-scale AS in a surveillance network.

Published
2021
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20. PRAISE : providing a roadmap for automated infection surveillance in Europe

Author

van Mourik, Maaike S. M., van Rooden, Stephanie M., Abbas, Mohamed, Aspevall, Olov, Astagneau, Pascal, Bonten, Marc J. M., Carrara, Elena, Gomila-Grange, Aina, de Greeff, Sabine C., Gubbels, Sophie, Harrison, Wendy, Humphreys, Hilary, Johansson, Anders, Koek, Mayke B. G., Kristensen, Brian, Lepape, Alain, Lucet, Jean-Christophe, Mookerjee, Siddharth, Naucler, Pontus, Palacios-Baena, Zaira R., Presterl, Elisabeth, Pujol, Miquel, Reilly, Jacqui, Roberts, Christopher, Tacconelli, Evelina, Teixeira, Daniel, Tängdén, Thomas, Valik, John Karlsson, Behnke, Michael, Gastmeier, Petra, van Mourik, Maaike S. M., van Rooden, Stephanie M., Abbas, Mohamed, Aspevall, Olov, Astagneau, Pascal, Bonten, Marc J. M., Carrara, Elena, Gomila-Grange, Aina, de Greeff, Sabine C., Gubbels, Sophie, Harrison, Wendy, Humphreys, Hilary, Johansson, Anders, Koek, Mayke B. G., Kristensen, Brian, Lepape, Alain, Lucet, Jean-Christophe, Mookerjee, Siddharth, Naucler, Pontus, Palacios-Baena, Zaira R., Presterl, Elisabeth, Pujol, Miquel, Reilly, Jacqui, Roberts, Christopher, Tacconelli, Evelina, Teixeira, Daniel, Tängdén, Thomas, Valik, John Karlsson, Behnke, Michael, and Gastmeier, Petra

Abstract

Introduction: Healthcare-associated infections (HAI) are among the most common adverse events of medical care. Surveillance of HAI is a key component of successful infection prevention programmes. Conventional surveillance - manual chart review - is resource intensive and limited by concerns regarding interrater reliability. This has led to the development and use of automated surveillance (AS). Many AS systems are the product of in-house development efforts and heterogeneous in their design and methods. With this roadmap, the PRAISE network aims to provide guidance on how to move AS from the research setting to large-scale implementation, and how to ensure the delivery of surveillance data that are uniform and useful for improvement of quality of care. Methods: The PRAISE network brings together 30 experts from ten European countries. This roadmap is based on the outcome of two workshops, teleconference meetings and review by an independent panel of international experts. Results: This roadmap focuses on the surveillance of HAI within networks of healthcare facilities for the purpose of comparison, prevention and quality improvement initiatives. The roadmap does the following: discusses the selection of surveillance targets, different organizational and methodologic approaches and their advantages, disadvantages and risks; defines key performance requirements of AS systems and suggestions for their design; provides guidance on successful implementation and maintenance; and discusses areas of future research and training requirements for the infection prevention and related disciplines. The roadmap is supported by accompanying documents regarding the governance and information technology aspects of implementing AS. Conclusions: Large-scale implementation of AS requires guidance and coordination within and across surveillance networks. Transitions to large-scale AS entail redevelopment of surveillance methods and their interpretation, intensive dialogue with stakehol

Published
2021
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21. Validation of an algorithm for semiautomated surveillance to detect deep surgical site infections after primary total hip or knee arthroplasty-A multicenter study

Author

MMB Onderzoek en Onderwijs, Epi Infectieziekten Team 1, JC onderzoeksprogramma Infectieziekten, MMB opleiding Arts microbioloog, Epi Infectieziekten, MMB, Infection & Immunity, Verberk, Janneke D M, van Rooden, Stephanie M, Koek, Mayke B G, Hetem, David J, Smilde, Annelies E, Bril, Wendy S, Streefkerk, Roel H R A, Hopmans, Titia E M, Bonten, Marc J M, de Greeff, Sabine C, van Mourik, Maaike S M, MMB Onderzoek en Onderwijs, Epi Infectieziekten Team 1, JC onderzoeksprogramma Infectieziekten, MMB opleiding Arts microbioloog, Epi Infectieziekten, MMB, Infection & Immunity, Verberk, Janneke D M, van Rooden, Stephanie M, Koek, Mayke B G, Hetem, David J, Smilde, Annelies E, Bril, Wendy S, Streefkerk, Roel H R A, Hopmans, Titia E M, Bonten, Marc J M, de Greeff, Sabine C, and van Mourik, Maaike S M

Published
2021

24. Validation of an algorithm for semiautomated surveillance to detect deep surgical site infections after primary total hip or knee arthroplasty—A multicenter study

Author

Verberk, Janneke D. M., primary, van Rooden, Stephanie M., additional, Koek, Mayke B. G., additional, Hetem, David J., additional, Smilde, Annelies E., additional, Bril, Wendy S., additional, Streefkerk, Roel H. R. A., additional, Hopmans, Titia E. M., additional, Bonten, Marc J. M., additional, de Greeff, Sabine C., additional, and van Mourik, Maaike S. M., additional

Published
2020
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26. Preoperative oral antibiotic prophylaxis reduces surgical site infections after elective colorectal surgery : results from a before-after study

Author

Mulder, Tessa, Crolla, Rogier M P H, Kluytmans-van den Bergh, Marjolein F Q, van Mourik, Maaike S M, Romme, Jannie, van der Schelling, George P, Kluytmans, Jan A J W, Mulder, Tessa, Crolla, Rogier M P H, Kluytmans-van den Bergh, Marjolein F Q, van Mourik, Maaike S M, Romme, Jannie, van der Schelling, George P, and Kluytmans, Jan A J W

Published
2019

27. A diagnostic algorithm for the surveillance of deep surgical site infections after colorectal surgery

Author

Infection & Immunity, JC onderzoeksprogramma Infectieziekten, Epi Infectieziekten Team 1, MMB opleiding Arts microbioloog, MMB Research line 2, Epi Infectieziekten, MMB, Mulder, Tessa, Kluytmans-van den Bergh, Marjolein F. Q., van Mourik, Maaike S. M., Romme, Jannie, Crolla, Rogier M. P. H., Bonten, Marc J. M., Kluytmans, Jan A. J. W., Infection & Immunity, JC onderzoeksprogramma Infectieziekten, Epi Infectieziekten Team 1, MMB opleiding Arts microbioloog, MMB Research line 2, Epi Infectieziekten, MMB, Mulder, Tessa, Kluytmans-van den Bergh, Marjolein F. Q., van Mourik, Maaike S. M., Romme, Jannie, Crolla, Rogier M. P. H., Bonten, Marc J. M., and Kluytmans, Jan A. J. W.

Published
2019

29. Designing Surveillance of Healthcare-Associated Infections in the Era of Automation and Reporting Mandates

Author

MMB opleiding Arts microbioloog, MMB Research line 2, Infection & Immunity, Epi Infectieziekten, MMB, JC onderzoeksprogramma Infectieziekten, van Mourik, Maaike S M, Perencevich, Eli N, Gastmeier, Petra, Bonten, Marc J M, MMB opleiding Arts microbioloog, MMB Research line 2, Infection & Immunity, Epi Infectieziekten, MMB, JC onderzoeksprogramma Infectieziekten, van Mourik, Maaike S M, Perencevich, Eli N, Gastmeier, Petra, and Bonten, Marc J M

Published
2018

32. Comparative gut microbiota and resistome profiling of intensive care patients receiving selective digestive tract decontamination and healthy subjects

Author

Buelow, Elena, Bello González, Teresita D J, Fuentes, Susana, de Steenhuijsen Piters, Wouter A A, Lahti, Leo, Bayjanov, Jumamurat R, Majoor, Eline A M, Braat, Johanna C, van Mourik, Maaike S M, Oostdijk, Evelien A N, Willems, Rob J L, Bonten, Marc J M, van Passel, Mark W J, Smidt, Hauke, van Schaik, Willem, Buelow, Elena, Bello González, Teresita D J, Fuentes, Susana, de Steenhuijsen Piters, Wouter A A, Lahti, Leo, Bayjanov, Jumamurat R, Majoor, Eline A M, Braat, Johanna C, van Mourik, Maaike S M, Oostdijk, Evelien A N, Willems, Rob J L, Bonten, Marc J M, van Passel, Mark W J, Smidt, Hauke, and van Schaik, Willem

Published
2017

33. Automated surveillance of healthcare-associated infections: state of the art

Author

Epi Infectieziekten Team 1, Infection & Immunity, Epi Infectieziekten, MMB, JC onderzoeksprogramma Infectieziekten, MMB Research line 2, MMB opleiding Arts microbioloog, Sips, Meander E, Bonten, Marc J M, van Mourik, Maaike S M, Epi Infectieziekten Team 1, Infection & Immunity, Epi Infectieziekten, MMB, JC onderzoeksprogramma Infectieziekten, MMB Research line 2, MMB opleiding Arts microbioloog, Sips, Meander E, Bonten, Marc J M, and van Mourik, Maaike S M

Published
2017

34. Comparative gut microbiota and resistome profiling of intensive care patients receiving selective digestive tract decontamination and healthy subjects

Author

Infectieziekten onderzoek3 (Bogaert), Child Health, MMB Research line 2, Infection & Immunity, MMB opleiding Arts microbioloog, Unit Opleiding Aios, Epi Infectieziekten, MMB, JC onderzoeksprogramma Infectieziekten, Buelow, Elena, Bello González, Teresita D J, Fuentes, Susana, de Steenhuijsen Piters, Wouter A A, Lahti, Leo, Bayjanov, Jumamurat R, Majoor, Eline A M, Braat, Johanna C, van Mourik, Maaike S M, Oostdijk, Evelien A N, Willems, Rob J L, Bonten, Marc J M, van Passel, Mark W J, Smidt, Hauke, van Schaik, Willem, Infectieziekten onderzoek3 (Bogaert), Child Health, MMB Research line 2, Infection & Immunity, MMB opleiding Arts microbioloog, Unit Opleiding Aios, Epi Infectieziekten, MMB, JC onderzoeksprogramma Infectieziekten, Buelow, Elena, Bello González, Teresita D J, Fuentes, Susana, de Steenhuijsen Piters, Wouter A A, Lahti, Leo, Bayjanov, Jumamurat R, Majoor, Eline A M, Braat, Johanna C, van Mourik, Maaike S M, Oostdijk, Evelien A N, Willems, Rob J L, Bonten, Marc J M, van Passel, Mark W J, Smidt, Hauke, and van Schaik, Willem

Published
2017

35. Validation of an algorithm for semiautomated surveillance to detect deep surgical site infections after primary total hip or knee arthroplasty—A multicenter study

Author

Verberk, Janneke D. M., van Rooden, Stephanie M., Koek, Mayke B. G., Hetem, David J., Smilde, Annelies E., Bril, Wendy S., Streefkerk, Roel H. R. A., Hopmans, Titia E. M., Bonten, Marc J. M., de Greeff, Sabine C., and van Mourik, Maaike S. M.

Abstract

AbstractObjective:Surveillance of healthcare-associated infections is often performed by manual chart review. Semiautomated surveillance may substantially reduce workload and subjective data interpretation. We assessed the validity of a previously published algorithm for semiautomated surveillance of deep surgical site infections (SSIs) after total hip arthroplasty (THA) or total knee arthroplasty (TKA) in Dutch hospitals. In addition, we explored the ability of a hospital to automatically select the patients under surveillance.Design:Multicenter retrospective cohort study.Methods:Hospitals identified patients who underwent THA or TKA either by procedure codes or by conventional surveillance. For these patients, routine care data regarding microbiology results, antibiotics, (re)admissions, and surgeries within 120 days following THA or TKA were extracted from electronic health records. Patient selection was compared with conventional surveillance and patients were retrospectively classified as low or high probability of having developed deep SSI by the algorithm. Sensitivity, positive predictive value (PPV), and workload reduction were calculated and compared to conventional surveillance.Results:Of 9,554 extracted THA and TKA surgeries, 1,175 (12.3%) were revisions, and 8,378 primary surgeries remained for algorithm validation (95 deep SSIs, 1.1%). Sensitivity ranged from 93.6% to 100% and PPV ranged from 55.8% to 72.2%. Workload was reduced by ≥98%. Also, 2 SSIs (2.1%) missed by the algorithm were explained by flaws in data selection.Conclusions:This algorithm reliably detects patients with a high probability of having developed deep SSI after THA or TKA in Dutch hospitals. Our results provide essential information for successful implementation of semiautomated surveillance for deep SSIs after THA or TKA.

Published
2021
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37. Comparative gut microbiota and resistome profiling of intensive care patients receiving selective digestive tract decontamination and healthy subjects

Author

Buelow, Elena, primary, Bello González, Teresita d. j., additional, Fuentes, Susana, additional, de Steenhuijsen Piters, Wouter A. A., additional, Lahti, Leo, additional, Bayjanov, Jumamurat R., additional, Majoor, Eline A. M., additional, Braat, Johanna C., additional, van Mourik, Maaike S. M., additional, Oostdijk, Evelien A. N., additional, Willems, Rob J. L., additional, Bonten, Marc J. M., additional, van Passel, Mark W. J., additional, Smidt, Hauke, additional, and van Schaik, Willem, additional

Published
2017
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41. Validation of an automated surveillance approach for drain-related meningitis : A multicenter study

Author

Van Mourik, Maaike S M, Troelstra, Annet, Van Der Sprenkel, Jan Willem Berkelbach, Van Der Jagt-Zwetsloot, Marischka C E, Nelson, Jolande H., Vos, Piet, Arts, Mark P., Dennesen, Paul J W, Moons, K. (Carl) G.M., Bonten, Marc J M, Van Mourik, Maaike S M, Troelstra, Annet, Van Der Sprenkel, Jan Willem Berkelbach, Van Der Jagt-Zwetsloot, Marischka C E, Nelson, Jolande H., Vos, Piet, Arts, Mark P., Dennesen, Paul J W, Moons, K. (Carl) G.M., and Bonten, Marc J M

Published
2015

43. Effect of isoniazid preventive therapy on tuberculosis or death in persons with HIV: a retrospective cohort study

Author

Infection & Immunity, JC onderzoeksprogramma Infectieziekten, MMB, Epi Infectieziekten Team 1, MMB Research line 2, Ayele, Henok Tadesse, van Mourik, Maaike S M, Bonten, Marc J M, Infection & Immunity, JC onderzoeksprogramma Infectieziekten, MMB, Epi Infectieziekten Team 1, MMB Research line 2, Ayele, Henok Tadesse, van Mourik, Maaike S M, and Bonten, Marc J M

Published
2015

44. Accuracy of administrative data for surveillance of healthcare-associated infections: A systematic review

Author

MMB Research line 2, Infection & Immunity, Epi Infectieziekten Team 1, JC onderzoeksprogramma Infectieziekten, Julius Centrum, JC onderzoeksprogramma Methodologie, Cancer, MMB, Van Mourik, Maaike S M, van Duijn, Pleun Joppe, Moons, Karel G M, Bonten, Marc J M, Lee, Grace M., MMB Research line 2, Infection & Immunity, Epi Infectieziekten Team 1, JC onderzoeksprogramma Infectieziekten, Julius Centrum, JC onderzoeksprogramma Methodologie, Cancer, MMB, Van Mourik, Maaike S M, van Duijn, Pleun Joppe, Moons, Karel G M, Bonten, Marc J M, and Lee, Grace M.

Published
2015

45. Severity of Disease Estimation and Risk-Adjustment for Comparison of Outcomes in Mechanically Ventilated Patients Using Electronic Routine Care Data

Author

MMB Research line 2, Infection & Immunity, Julius Centrum, JC onderzoeksprogramma Methodologie, Cancer, Epi Methoden, JC onderzoeksprogramma Infectieziekten, MMB, van Mourik, Maaike S. M., Moons, K. (Carl) G.M., Murphy, Michael V., Bonten, Marc J. M., Klompas, Michael, MICU Registry, Ctr Dis Control Prevention CDC, MMB Research line 2, Infection & Immunity, Julius Centrum, JC onderzoeksprogramma Methodologie, Cancer, Epi Methoden, JC onderzoeksprogramma Infectieziekten, MMB, van Mourik, Maaike S. M., Moons, K. (Carl) G.M., Murphy, Michael V., Bonten, Marc J. M., Klompas, Michael, MICU Registry, and Ctr Dis Control Prevention CDC

Published
2015

46. An old world's view on a new world's solution

Author

MMB Research line 2, Infection & Immunity, JC onderzoeksprogramma Infectieziekten, MMB, Van Mourik, Maaike S M, Bouadma, Lila, Bonten, Marc J M, MMB Research line 2, Infection & Immunity, JC onderzoeksprogramma Infectieziekten, MMB, Van Mourik, Maaike S M, Bouadma, Lila, and Bonten, Marc J M

Published
2015

47. Validation of an automated surveillance approach for drain-related meningitis: A multicenter study

Author

MMB Research line 2, Infection & Immunity, ZL Algemene en Acute Nec Medisch, Brain, Opleiding Neurochirurgie, ZL Cerebrovasculaire Ziekten Medisch, Julius Centrum, JC onderzoeksprogramma Methodologie, Cancer, Epi Methoden, JC onderzoeksprogramma Infectieziekten, MMB, Van Mourik, Maaike S M, Troelstra, Annet, Van Der Sprenkel, Jan Willem Berkelbach, Van Der Jagt-Zwetsloot, Marischka C E, Nelson, Jolande H., Vos, Piet, Arts, Mark P., Dennesen, Paul J W, Moons, K. (Carl) G.M., Bonten, Marc J M, MMB Research line 2, Infection & Immunity, ZL Algemene en Acute Nec Medisch, Brain, Opleiding Neurochirurgie, ZL Cerebrovasculaire Ziekten Medisch, Julius Centrum, JC onderzoeksprogramma Methodologie, Cancer, Epi Methoden, JC onderzoeksprogramma Infectieziekten, MMB, Van Mourik, Maaike S M, Troelstra, Annet, Van Der Sprenkel, Jan Willem Berkelbach, Van Der Jagt-Zwetsloot, Marischka C E, Nelson, Jolande H., Vos, Piet, Arts, Mark P., Dennesen, Paul J W, Moons, K. (Carl) G.M., and Bonten, Marc J M

Published
2015

48. Automated detection of healthcare associated infections: external validation and updating of a model for surveillance of drain-related meningitis

Author

van Mourik, Maaike S M, Moons, Karel G M, van Solinge, W W, Berkelbach Van Der Sprenkel, Jan Willem, Regli, L, Troelstra, A, and University of Zurich

Subjects
10180 Clinic for Neurosurgery, 1000 Multidisciplinary, 1300 General Biochemistry, Genetics and Molecular Biology, 610 Medicine & health, 1100 General Agricultural and Biological Sciences
Published
2012
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