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Polkowska-Kramek A, Begier E, Bruyndonckx R, Liang C, Beese C, Brestrich G, Tran TMP, Nuttens C, Casas M, Bayer LJ, Huebbe B, Ewnetu WB, Agudelo JLR, Gessner BD, von Eiff C, Rohde G. Estimated Incidence of Hospitalizations and Deaths Attributable to Respiratory Syncytial Virus Infections Among Adults in Germany Between 2015 and 2019. Infect Dis Ther 2024:10.1007/s40121-024-00951-0. [PMID: 38520629 DOI: 10.1007/s40121-024-00951-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2023] [Accepted: 02/22/2024] [Indexed: 03/25/2024] Open
Abstract
INTRODUCTION Respiratory syncytial virus (RSV) burden in adults is underestimated mainly due to unspecific symptoms and limited standard-of-care testing. We estimated the population-based incidence of hospitalization and mortality attributable to RSV among adults with and without risk factors in Germany. METHODS Weekly counts of hospitalizations and deaths for respiratory, cardiovascular, and cardiorespiratory diseases were obtained (Statutory Health Insurance database, 2015-2019). A quasi-Poisson regression model was fitted to estimate the number of hospitalizations and deaths attributable to RSV as a function of periodic and aperiodic time trends, and viral activity while allowing for potential overdispersion. Weekly counts of RSV and influenza hospitalizations in children < 2 years and adults ≥ 60 years, respectively, were used as viral activity indicators. Models were stratified by age group and risk status (defined as presence of selected comorbidities). RESULTS Population-based RSV-attributable hospitalization incidence rates were high among adults ≥ 60 years: respiratory hospitalizations (236-363 per 100,000 person-years) and cardiorespiratory hospitalizations (584-912 per 100,000 person-years). RSV accounted for 2-3% of all cardiorespiratory hospitalizations in this age group. The increase in cardiorespiratory hospitalization risk associated with underlying risk factors was greater in 18-44 year old persons (five to sixfold higher) than in ≥ 75 year old persons (two to threefold higher). CONCLUSIONS This is a first model-based study to comprehensively assess adult RSV burden in Germany. Estimated cardiorespiratory RSV hospitalization rates increased with age and were substantially higher in people with risk factors compared to those without risk factors. Our study indicates that RSV, like other respiratory viruses, contributes to both respiratory and cardiovascular hospitalizations. Effective prevention strategies are needed, especially among older adults ≥ 60 years and among adults with underlying risk factors.
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Affiliation(s)
| | | | | | - Caihua Liang
- Pfizer Inc, 66 Hudson Blvd E, New York, NY, 10001, USA.
| | | | | | | | | | - Maribel Casas
- P95 Pharmacovigilance and Epidemiology Services, Leuven, Belgium
| | | | | | | | | | | | | | - Gernot Rohde
- Medical Clinic I, Department of Respiratory Medicine, Goethe University Frankfurt, University Hospital, Frankfurt/Main, Germany
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Bruyndonckx R, Polkowska-Kramek A, Liang C, Nuttens C, Tran TMP, Gessner BD, Begier E. Estimation of Symptomatic Respiratory Syncytial Virus Infection Incidence in Adults in Multiple Countries: A Time-Series Model-Based Analysis Protocol. Infect Dis Ther 2024:10.1007/s40121-024-00948-9. [PMID: 38499832 DOI: 10.1007/s40121-024-00948-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Accepted: 02/22/2024] [Indexed: 03/20/2024] Open
Abstract
INTRODUCTION Estimating respiratory syncytial virus (RSV) burden in adults is challenging because of non-specific symptoms, infrequent standard-of-care testing, resolution of viral shedding before seeking medical care, test positivity that varies by specimen site in the upper airway and lower diagnostic test sensitivity compared to children. Conducting prospective observational studies to assess RSV burden in adults is time- and resource-intensive. Thus, model-based approaches can be applied using existing data to obtain more accurate estimates of RSV burden. This protocol establishes essential elements for estimating RSV incidence rate in adults using a time series model-based approach. It can be tailored to specific databases and applied globally across countries, enabling estimation of local RSV disease burden to inform public health decision-making, including immunization policy. METHODS Data are analysed using a quasi-Poisson regression model, considering the effect of baseline trends and pathogen co-circulation, stratified by age and risk status. Pathogen co-circulation is represented by viral proxies defined based on ICD code groupings indicating RSV and influenza-specific hospitalizations, lagged 0 up to 4 weeks based on the model selection. A final model is constructed in two steps: optimization of the time trend (using p-values) and selection of the viral proxy lag time (using test statistics, to prioritize the most biologically plausible option). The yearly incidence rate and percentage of events attributable to RSV are estimated from the final model. Confidence intervals are calculated using residual bootstrapping. PLANNED OUTCOMES Outcomes to be modelled are based on administrative ICD code groupings and include the number of cardiorespiratory, respiratory and cardiovascular events in a specific care setting (e.g., general practitioner visit, emergency department visit, hospitalization and death). Cardiovascular events are limited to those for which existing evidence suggests an association with RSV infection. Additional secondary outcomes are constructed as a subset of the primary outcomes based on specific ICD code groups.
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Affiliation(s)
| | | | | | | | | | | | - Elizabeth Begier
- Pfizer Inc, Dublin, Republic of Ireland.
- Pfizer Vaccines, 9 Riverwalk, Citywest Business Campus, Dublin 24, Republic of Ireland.
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Haeberer M, Bruyndonckx R, Polkowska-Kramek A, Torres A, Liang C, Nuttens C, Casas M, Lemme F, Ewnetu WB, Tran TMP, Atwell JE, Diez CM, Gessner BD, Begier E. Estimated Respiratory Syncytial Virus-Related Hospitalizations and Deaths Among Children and Adults in Spain, 2016-2019. Infect Dis Ther 2024; 13:463-480. [PMID: 38319540 DOI: 10.1007/s40121-024-00920-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Accepted: 01/10/2024] [Indexed: 02/07/2024] Open
Abstract
INTRODUCTION Respiratory syncytial virus (RSV) causes a substantial disease burden among infants. In older children and adults, incidence is underestimated due to nonspecific symptoms and limited standard-of-care testing. We aimed to estimate RSV-attributable hospitalizations and deaths in Spain during 2016-2019. METHODS Nationally representative hospitalization and mortality databases were obtained from the Ministry of Health and the National Statistical Office. A quasi-Poisson regression model was fitted to estimate the number of hospitalizations and deaths attributable to RSV as a function of periodic and aperiodic time trends and viral activity, while allowing for potential overdispersion. RESULTS In children, the RSV-attributable respiratory hospitalization incidence was highest among infants aged 0-5 months (3998-5453 cases/100,000 person-years, representing 72% of all respiratory hospitalizations) and decreased with age. In 2019, estimated rates in children 0-5, 6-11, 12-23 months and 6-17 years were approximately 1.3, 1.4, 1.5, and 6.5 times higher than those based on standard-of-care RSV-specific codes. In adults, the RSV-attributable cardiorespiratory hospitalization rate increased with age and was highest among persons ≥ 80 years (1325-1506 cases/100,000, 6.5% of all cardiorespiratory hospitalizations). In 2019, for persons aged 18-49, 50-59, 60-79, and ≥ 80 years, estimated rates were approximately 8, 6, 8, and 16 times higher than those based on standard-of-care RSV-specific codes. The RSV-attributable cardiorespiratory mortality rate was highest among ≥ 80 age group (126-150 deaths/100,000, 3.5-4.1% of all cardiorespiratory deaths), when reported mortality rate ranged between 0 and 0.5/100,000. CONCLUSIONS When accounting for under-ascertainment, estimated RSV-attributable hospitalizations were higher than those reported based on standard-of-care RSV-specific codes in all age groups but particularly among older children and older adults. Like other respiratory viruses, RSV contributes to both respiratory and cardiovascular complications. Efficacious RSV vaccines could have a high public health impact in these age and risk groups.
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Affiliation(s)
| | | | | | | | | | | | - Maribel Casas
- Epidemiology and Pharmacovigilance, P95, Leuven, Belgium
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Boateng I, Stuart B, Becque T, Barrett B, Bostock J, Bruyndonckx R, Carr-Knox L, Ciccone EJ, Coenen S, Ebell M, Gillespie D, Hayward G, Hedin K, Hood K, Lau TMM, Little P, Merenstein D, Mulogo E, Ordóñez-Mena J, Muir P, Samuel K, Shaikh N, Tonner S, van der Velden AW, Verheij T, Wang K, Hay AD, Francis N. Using microbiological data to improve the use of antibiotics for respiratory tract infections: A protocol for an individual patient data meta-analysis. PLoS One 2023; 18:e0294845. [PMID: 38011202 PMCID: PMC10681295 DOI: 10.1371/journal.pone.0294845] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 11/09/2023] [Indexed: 11/29/2023] Open
Abstract
BACKGROUND Resistance to antibiotics is rising and threatens future antibiotic effectiveness. 'Antibiotic targeting' ensures patients who may benefit from antibiotics receive them, while being safely withheld from those who may not. Point-of-care tests may assist with antibiotic targeting by allowing primary care clinicians to establish if symptomatic patients have a viral, bacterial, combined, or no infection. However, because organisms can be harmlessly carried, it is important to know if the presence of the virus/bacteria is related to the illness for which the patient is being assessed. One way to do this is to look for associations with more severe/prolonged symptoms and test results. Previous research to answer this question for acute respiratory tract infections has given conflicting results with studies has not having enough participants to provide statistical confidence. AIM To undertake a synthesis of IPD from both randomised controlled trials (RCTs) and observational cohort studies of respiratory tract infections (RTI) in order to investigate the prognostic value of microbiological data in addition to, or instead of, clinical symptoms and signs. METHODS A systematic search of Cochrane Central Register of Controlled Trials, Ovid Medline and Ovid Embase will be carried out for studies of acute respiratory infection in primary care settings. The outcomes of interest are duration of disease, severity of disease, repeated consultation with new/worsening illness and complications requiring hospitalisation. Authors of eligible studies will be contacted to provide anonymised individual participant data. The data will be harmonised and aggregated. Multilevel regression analysis will be conducted to determine key outcome measures for different potential pathogens and whether these offer any additional information on prognosis beyond clinical symptoms and signs. TRIAL REGISTRATION PROSPERO Registration number: CRD42023376769.
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Affiliation(s)
- Irene Boateng
- Primary Care Research Centre, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
| | - Beth Stuart
- Primary Care Research Centre, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
- Centre for Evaluation and Methods, Wolfson Institute of Population Health, Queen Mary University of London, London, United Kingdom
| | - Taeko Becque
- Primary Care Research Centre, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
| | - Bruce Barrett
- Dept of Family Medicine, University of Wisconsin, Madison, WI, United States of America
| | - Jennifer Bostock
- Primary Care Research Centre, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
| | - Robin Bruyndonckx
- Data Science Institute, I-BioStat, Hasselt University, Martelarenlaan, Hasselt, Belgium
| | - Lucy Carr-Knox
- Centre for Evaluation and Methods, Wolfson Institute of Population Health, Queen Mary University of London, London, United Kingdom
| | - Emily J. Ciccone
- Division of Infectious Diseases, University of North Carolina School of Medicine, Chapel Hill, North Carolina, United States of America
| | - Samuel Coenen
- Centre for General Practice, Department of Family Medicine and Population Health, University of Antwerp, Antwerp, Belgium
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute, University of Antwerp, Antwerp, Belgium
| | - Mark Ebell
- Department of Epidemiology and Biostatistics, College of Public Health, University of Georgia, Athens, Georgia, United States of America
| | - David Gillespie
- Centre for Trials Research, School of Medicine, Cardiff University, Cardiff, Wales, United Kingdom
| | - Gail Hayward
- Nuffield Department of Primary Care, University of Oxford, Oxford, United Kingdom
| | - Katarina Hedin
- Futurum, Region Jönköping County, Sweden
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden
| | - Kerenza Hood
- Centre for Trials Research, School of Medicine, Cardiff University, Cardiff, Wales, United Kingdom
| | - Tin Man Mandy Lau
- Centre for Trials Research, School of Medicine, Cardiff University, Cardiff, Wales, United Kingdom
| | - Paul Little
- Primary Care Research Centre, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
| | - Dan Merenstein
- Dept of Family Medicine, Georgetown University, Washington DC, United States of America
| | - Edgar Mulogo
- Department of Community Health, Faculty of Medicine, Mbarara University of Science and Technology, Mbarara, Uganda
| | - Jose Ordóñez-Mena
- Nuffield Department of Primary Care, University of Oxford, Oxford, United Kingdom
| | - Peter Muir
- UK Health Security Agency South West Regional Laboratory, Southmead Hospital, Bristol, United Kingdom
| | - Kirsty Samuel
- Primary Care Research Centre, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
| | - Nader Shaikh
- School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Sharon Tonner
- Nuffield Department of Primary Care, University of Oxford, Oxford, United Kingdom
| | - Alike W. van der Velden
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Theo Verheij
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Kay Wang
- Primary Care Research Centre, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
| | - Alastair D. Hay
- Centre for Academic Primary Care, Bristol Medical School: Population Health Sciences, University of Bristol, Bristol, United Kingdom
| | - Nick Francis
- Primary Care Research Centre, Faculty of Medicine, University of Southampton, Southampton, United Kingdom
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Domen J, Verbakel JYJ, Adriaenssens N, Scholtes B, Peeters B, Bruyndonckx R, De Sutter A, Heytens S, Van den Bruel A, Desombere I, Van Damme P, Goossens H, Buret L, Duysburgh E, Coenen S. Validation of a rapid SARS-CoV-2 antibody test in general practice. BMJ Open 2023; 13:e069997. [PMID: 37130685 PMCID: PMC10163333 DOI: 10.1136/bmjopen-2022-069997] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/04/2023] Open
Abstract
OBJECTIVES To validate a rapid serological test (RST) for SARS-CoV-2 antibodies used in seroprevalence studies in healthcare providers, including primary healthcare providers (PHCPs) in Belgium. DESIGN A phase III validation study of the RST (OrientGene) within a prospective cohort study. SETTING Primary care in Belgium. PARTICIPANTS Any general practitioner (GP) working in primary care in Belgium and any other PHCP from the same GP practice who physically manages patients were eligible in the seroprevalence study. For the validation study, all participants who tested positive (376) on the RST at the first testing timepoint (T1) and a random sample of those who tested negative (790) and unclear (24) were included. INTERVENTION At T2, 4 weeks later, PHCPs performed the RST with fingerprick blood (index test) immediately after providing a serum sample to be analysed for the presence of SARS-CoV-2 immunoglobulin G antibodies using a two-out-of-three assay (reference test). PRIMARY AND SECONDARY OUTCOME MEASURES The RST accuracy was estimated using inverse probability weighting to correct for missing reference test data, and considering unclear RST results as negative for the sensitivity and positive for the specificity. Using these conservative estimates, the true seroprevalence was estimated both for T2 and RST-based prevalence values found in a cohort study with PHCPs in Belgium. RESULTS 1073 paired tests (403 positive on the reference test) were included. A sensitivity of 73% (a specificity of 92%) was found considering unclear RST results as negative (positive). For an RST-based prevalence at T1 (13.9), T2 (24.9) and T7 (70.21), the true prevalence was estimated to be 9.1%, 25.9% and 95.7%, respectively. CONCLUSION The RST sensitivity (73%) and specificity (92%) make an RST-based seroprevalence below (above) 23% overestimate (underestimate) the true seroprevalence. TRIAL REGISTRATION NUMBER NCT04779424.
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Affiliation(s)
- Julie Domen
- Department of Family Medicine and Population Health (FAMPOP), Centre for General Practice, University of Antwerp, Antwerpen, Belgium
| | - Jan Yvan Jos Verbakel
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
- Department of Public Health and Primary Care, EPI-Centre, KU Leuven, Leuven, Belgium
| | - Niels Adriaenssens
- Department of Family Medicine and Population Health (FAMPOP), Centre for General Practice, University of Antwerp, Antwerpen, Belgium
| | - Beatrice Scholtes
- General Practice Department-Primary Care and Health Research Unit, Liege University, Liege, Belgium
| | - Bart Peeters
- Department of Laboratory Medicine, University Hospital Antwerp, Edegem, Belgium
| | - Robin Bruyndonckx
- Department of Family Medicine and Population Health (FAMPOP), Centre for General Practice, University of Antwerp, Antwerpen, Belgium
- Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-BioStat), Data Science Institute, Hasselt University, Hasselt, Belgium
- Epidemiology & Pharmavigilance, P95, Leuven, Belgium
| | - An De Sutter
- Department of Public Health and Primary Care, University of Ghent, Gent, Belgium
| | - Stefan Heytens
- Department of Public Health and Primary Care, University of Ghent, Gent, Belgium
| | - Ann Van den Bruel
- Department of Public Health and Primary Care, EPI-Centre, KU Leuven, Leuven, Belgium
| | - Isabelle Desombere
- Department of Infectious Diseases in Humans, Sciensano, Brussels, Belgium
| | - Pierre Van Damme
- Vaccine & Infectious Disease Institute, Centre for the Evaluation of Vaccination, University of Antwerp Faculty of Medicine and Health Sciences, Antwerpen (Wilrijk, Belgium
| | - Herman Goossens
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerpen, Belgium
| | - Laetitia Buret
- General Practice Department-Primary Care and Health Research Unit, Liege University, Liege, Belgium
| | - Els Duysburgh
- Department of Epidemiology and Public Health, Sciensano, Brussels, Belgium
| | - Samuel Coenen
- Department of Family Medicine and Population Health (FAMPOP), Centre for General Practice, University of Antwerp, Antwerpen, Belgium
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerpen, Belgium
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Njotto LL, Simin J, Fornes R, Odsbu I, Mussche I, Callens S, Engstrand L, Bruyndonckx R, Brusselaers N. Maternal and Early-Life Exposure to Antibiotics and the Risk of Autism and Attention-Deficit Hyperactivity Disorder in Childhood: a Swedish Population-Based Cohort Study. Drug Saf 2023; 46:467-478. [PMID: 37087706 PMCID: PMC10164008 DOI: 10.1007/s40264-023-01297-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/19/2023] [Indexed: 04/24/2023]
Abstract
INTRODUCTION Antibiotics represent the most common type of medication used during pregnancy and infancy. Antibiotics have been proposed as a possible factor in changes in microbiota composition, which may play a role in the aetiology of autism and attention deficit/hyperactivity disorder (ADHD). Our aim was to investigate the association between maternal and early-life antibiotic use and autism and ADHD in childhood. METHODS This Swedish nation-wide population-based cohort study included all first live singleton births (N = 483,459) between January 2006 and December 2016. The association of dispensed antibiotics with autism and ADHD in children aged ≤ 11 years was estimated by applying multivariable logistic regression and generalised estimating equations models. RESULTS Of the mothers, 25.9% (n = 125,106) were dispensed ≥1 antibiotic during the exposure period (from 3 months pre-conception to delivery), and 41.6% (n = 201,040) of the children received ≥ 1 antibiotic in early life (aged ≤ 2 years). Penicillin was the most prescribed antibiotic class (17.9% of mothers, 38.2% of children). Maternal antibiotic use was associated with an increased risk of autism [odds ratio (OR) = 1.16, 95% confidence interval (CI) 1.09-1.23] and ADHD (OR = 1.29, 95% CI 1.21-1.36) in childhood. Early-life exposure to antibiotics showed an even stronger association [autism (OR = 1.46, 95% CI 1.38-1.55); ADHD (OR = 1.90, 95% CI 1.80-2.00)]. Both maternal and childhood-exposure sub-analyses suggested a dose-response relationship. CONCLUSION Maternal and early-life antibiotic use was associated with an increased risk of autism and ADHD in childhood. However, differences were noted by exposure period and antibiotic classes.
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Affiliation(s)
- Lembris L Njotto
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Data Science Institute, Hasselt University, Diepenbeek, Belgium
- Department of Mathematics and ICT, College of Business Education (CBE), Dar es Salaam, Tanzania
| | - Johanna Simin
- Department of Microbiology, Tumour and Cell Biology, Centre for Translational Microbiome Research (CTMR), Karolinska Institutet, Solnavägen 9, 171 77, Stockholm, Sweden
| | - Romina Fornes
- Department of Microbiology, Tumour and Cell Biology, Centre for Translational Microbiome Research (CTMR), Karolinska Institutet, Solnavägen 9, 171 77, Stockholm, Sweden
| | - Ingvild Odsbu
- Division of Mental and Physical Health, Department of Mental Disorders, The Norwegian Institute of Public Health, Oslo, Norway
| | - Isabelle Mussche
- Child and Youth Psychiatry, Centre for Ambulatory Revalidation (CAR) Ascendre, Eeklo/Wetteren, Belgium
| | - Steven Callens
- Department of General Internal Medicine, Ghent University Hospital, Ghent, Belgium
- Global Health Institutet, Antwerp University, Antwerp, Belgium
- Department of Head and Skin, Ghent University, Ghent, Belgium
| | - Lars Engstrand
- Department of Microbiology, Tumour and Cell Biology, Centre for Translational Microbiome Research (CTMR), Karolinska Institutet, Solnavägen 9, 171 77, Stockholm, Sweden
| | - Robin Bruyndonckx
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Data Science Institute, Hasselt University, Diepenbeek, Belgium
- Laboratory of Medical Microbiology, Vaccine and Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Nele Brusselaers
- Department of Microbiology, Tumour and Cell Biology, Centre for Translational Microbiome Research (CTMR), Karolinska Institutet, Solnavägen 9, 171 77, Stockholm, Sweden.
- Global Health Institute, Antwerp University, Antwerp, Belgium.
- Department of Head and Skin, Ghent University, Ghent, Belgium.
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Breddels EM, Simin J, Fornes R, Lilja Engstrand H, Engstrand L, Bruyndonckx R, Brusselaers N. Population-based cohort study: proton pump inhibitor use during pregnancy in Sweden and the risk of maternal and neonatal adverse events. BMC Med 2022; 20:492. [PMID: 36539798 PMCID: PMC9768950 DOI: 10.1186/s12916-022-02673-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Accepted: 11/21/2022] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Approximately half of all women suffer from heartburn at some stage during pregnancy. The most effective treatment is proton pump inhibitors, but the safety of use during pregnancy cannot be guaranteed. This study aimed to elucidate the effect of proton pump inhibitors on the risk of pre-eclampsia, gestational diabetes mellitus, preterm birth, an Apgar score at 5 min below 7, and a child being small or large for its gestational age. METHODS This Swedish population-based study included 1,089,514 live singleton deliveries between July 2006 and December 2016 in Sweden. Multiple logistic regression was used to model the outcomes as a function of the covariates. Results were presented as odds ratios with 95% confidence intervals. RESULTS In 1.4% of all pregnancies, the mother used proton pump inhibitors in the period from 3 months before the last menstrual period up to delivery. The use of proton pump inhibitors was associated with higher odds of pre-eclampsia (odds ratio = 1.19, 1.10-1.29), gestational diabetes mellitus (odds ratio = 1.29, 1.16-1.43), preterm birth (odds ratio = 1.23, 1.14-1.32), and small for gestational age (odds ratio = 1.27, 1.16-1.40) and lower odds of large for gestational age (odds ratio = 0.84, 0.77-0.91). No significant association was found with a low Apgar score 5 min after birth. CONCLUSIONS Proton pump inhibitor use was associated with a higher risk of pre-eclampsia, gestational diabetes, preterm birth, and being born small for gestational age.
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Affiliation(s)
- Esmee M Breddels
- I-BioStat, Data Science Institute, Hasselt University, Hasselt, Belgium.,Centre for Translational Microbiome Research, Department of Microbiology Tumor and Cell Biology, Karolinska Institutet, Biomedicum A8, Solnavägen 9, 17165, Stockholm, Sweden
| | - Johanna Simin
- Centre for Translational Microbiome Research, Department of Microbiology Tumor and Cell Biology, Karolinska Institutet, Biomedicum A8, Solnavägen 9, 17165, Stockholm, Sweden
| | - Romina Fornes
- Centre for Translational Microbiome Research, Department of Microbiology Tumor and Cell Biology, Karolinska Institutet, Biomedicum A8, Solnavägen 9, 17165, Stockholm, Sweden
| | - Helene Lilja Engstrand
- Department of Women's and Children's Health, Karolinska University Hospital, Stockholm, Sweden
| | - Lars Engstrand
- Centre for Translational Microbiome Research, Department of Microbiology Tumor and Cell Biology, Karolinska Institutet, Biomedicum A8, Solnavägen 9, 17165, Stockholm, Sweden
| | - Robin Bruyndonckx
- I-BioStat, Data Science Institute, Hasselt University, Hasselt, Belgium
| | - Nele Brusselaers
- Centre for Translational Microbiome Research, Department of Microbiology Tumor and Cell Biology, Karolinska Institutet, Biomedicum A8, Solnavägen 9, 17165, Stockholm, Sweden. .,Global Health Institute, Antwerp University, Antwerp, Belgium.
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Li X, Bilcke J, van der Velden AW, Bruyndonckx R, Coenen S, Bongard E, de Paor M, Chlabicz S, Godycki-Cwirko M, Francis N, Aabenhus R, Bucher HC, Colliers A, De Sutter A, Garcia-Sangenis A, Glinz D, Harbin NJ, Kosiek K, Lindbæk M, Lionis C, Llor C, Mikó-Pauer R, Radzeviciene Jurgute R, Seifert B, Sundvall PD, Touboul Lundgren P, Tsakountakis N, Verheij TJ, Goossens H, Butler CC, Beutels P. Cost-effectiveness of adding oseltamivir to primary care for influenza-like-illness: economic evaluation alongside the randomised controlled ALIC 4E trial in 15 European countries. Eur J Health Econ 2022:10.1007/s10198-022-01521-2. [PMID: 36131214 DOI: 10.1007/s10198-022-01521-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Accepted: 08/23/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Oseltamivir is usually not often prescribed (or reimbursed) for non-high-risk patients consulting for influenza-like-illness (ILI) in primary care in Europe. We aimed to evaluate the cost-effectiveness of adding oseltamivir to usual primary care in adults/adolescents (13 years +) and children with ILI during seasonal influenza epidemics, using data collected in an open-label, multi-season, randomised controlled trial of oseltamivir in 15 European countries. METHODS Direct and indirect cost estimates were based on patient reported resource use and official country-specific unit costs. Health-Related Quality of Life was assessed by EQ-5D questionnaires. Costs and quality adjusted life-years (QALY) were bootstrapped (N = 10,000) to estimate incremental cost-effectiveness ratios (ICER), from both the healthcare payers' and the societal perspectives, with uncertainty expressed through probabilistic sensitivity analysis and expected value for perfect information (EVPI) analysis. Additionally, scenario (self-reported spending), comorbidities subgroup and country-specific analyses were performed. RESULTS The healthcare payers' expected ICERs of oseltamivir were €22,459 per QALY gained in adults/adolescents and €13,001 in children. From the societal perspective, oseltamivir was cost-saving in adults/adolescents, but the ICER is €8,344 in children. Large uncertainties were observed in subgroups with comorbidities, especially for children. The expected ICERs and extent of decision uncertainty varied between countries (EVPI ranged €1-€35 per patient). CONCLUSION Adding oseltamivir to primary usual care in Europe is likely to be cost-effective for treating adults/adolescents and children with ILI from the healthcare payers' perspective (if willingness-to-pay per QALY gained > €22,459) and cost-saving in adults/adolescents from a societal perspective.
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Affiliation(s)
- Xiao Li
- Centre for Health Economics Research and Modelling Infectious Diseases (CHERMID), Vaccine and Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Campus Drie Eiken, room D.S.221, Universiteitsplein 1, 2610, Antwerp, Belgium.
| | - Joke Bilcke
- Centre for Health Economics Research and Modelling Infectious Diseases (CHERMID), Vaccine and Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Campus Drie Eiken, room D.S.221, Universiteitsplein 1, 2610, Antwerp, Belgium
| | - Alike W van der Velden
- Julius Center for Health Sciences and Primary Care, University Medical Center, Utrecht, The Netherlands
| | - Robin Bruyndonckx
- Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-BIOSTAT), Data Science Institute (DSI), Hasselt University, Hasselt, Belgium
- Laboratory of Medical Microbiology, Vaccine and Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Samuel Coenen
- Laboratory of Medical Microbiology, Vaccine and Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
- Department of Family Medicine and Population Health (FAMPOP), University of Antwerp, Antwerp, Belgium
| | - Emily Bongard
- The Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Muirrean de Paor
- RCSI Department of General Practice, 123 St Stephens Green, Dublin 2, Ireland
| | - Slawomir Chlabicz
- Department of Family Medicine, Medical University of Bialystok, Białystok, Poland
| | | | - Nick Francis
- School of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Rune Aabenhus
- Section and Research Unit of General Practice, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Heiner C Bucher
- Division of Infectious Diseases and Hospital Hygiene, Basel Institute for Clinical Epidemiology and Biostatistics, University Hospital Basel, Basel, Switzerland
| | - Annelies Colliers
- Department of Family Medicine and Population Health (FAMPOP), University of Antwerp, Antwerp, Belgium
| | - An De Sutter
- Department of Public Health and Primary Care (Centre for Family Medicine), Gent University, Gent, Belgium
| | - Ana Garcia-Sangenis
- University Institute in Primary Care Research Jordi Gol, Via Roma Health Centre, Barcelona, Spain
| | - Dominik Glinz
- Department of Clinical Research, Basel Institute for Clinical Epidemiology and Biostatistics, University Hospital Basel, Basel, Switzerland
| | - Nicolay J Harbin
- Department of General Practice, Antibiotic Center for Primary Care, Institute of Health and Society, University of Oslo, Oslo, Norway
| | | | - Morten Lindbæk
- Research Leader Antibiotic Centre for Primary Care, Department of General Practice, University of Oslo, Oslo, Norway
| | - Christos Lionis
- General Practice and Primary Health Care at the School of Medicine, University of Crete, Crete, Greece
| | - Carl Llor
- University Institute in Primary Care Research Jordi Gol, Via Roma Health Centre, Barcelona, Spain
- Research Unit for General Practice, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | | | | | - Bohumil Seifert
- Institute of General Practice, First Faculty of Medicine, Charles University in Prague, Prague, Czech Republic
| | - Pär-Daniel Sundvall
- General Practice/Family Medicine, School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Research, Education, Development and Innovation, Primary Health Care, Region Västra Götaland, Sandared, Sweden
| | | | | | - Theo J Verheij
- Julius Center for Health Sciences and Primary Care, University Medical Center, Utrecht, The Netherlands
| | - Herman Goossens
- Department of Family Medicine and Population Health (FAMPOP), University of Antwerp, Antwerp, Belgium
| | - Christopher C Butler
- The Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Philippe Beutels
- Centre for Health Economics Research and Modelling Infectious Diseases (CHERMID), Vaccine and Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Campus Drie Eiken, room D.S.221, Universiteitsplein 1, 2610, Antwerp, Belgium
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9
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Adriaenssens N, Scholtes B, Bruyndonckx R, Van Ngoc P, Verbakel JYJ, De Sutter A, Heytens S, Van Den Bruel A, Desombere I, Van Damme P, Goossens H, Buret L, Duysburgh E, Coenen S. Prevalence, incidence and longevity of antibodies against SARS-CoV-2 among primary healthcare providers in Belgium: a prospective cohort study with 12 months of follow-up. BMJ Open 2022; 12:e065897. [PMID: 36123069 PMCID: PMC9485641 DOI: 10.1136/bmjopen-2022-065897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
OBJECTIVES To estimate the prevalence, incidence and longevity of antibodies against SARS-CoV-2 among primary healthcare providers (PHCPs). DESIGN Prospective cohort study with 12 months of follow-up. SETTING Primary care in Belgium. PARTICIPANTS Any general practitioner (GP) working in primary care in Belgium and any other PHCP from the same GP practice who physically manages (examines, tests, treats) patients were eligible. A convenience sample of 3648 eligible PHCPs from 2001 GP practices registered for this study (3044 and 604 to start in December 2020 and January 2021, respectively). 3390 PHCPs (92,9%) participated in their first testing time point (2820 and 565, respectively) and 2557 PHCPs (70,1%) in the last testing time point (December 2021). INTERVENTIONS Participants were asked to perform a rapid serological test targeting IgM and IgG against the receptor binding domain of SARS-CoV-2 and to complete an online questionnaire at each of maximum eight testing time points. PRIMARY AND SECONDARY OUTCOME MEASURES The prevalence, incidence and longevity of antibodies against SARS-CoV-2 both after natural infection and after vaccination. RESULTS Among all participants, 67% were women and 77% GPs. Median age was 43 years. The seroprevalence in December 2020 (before vaccination availability) was 15.1% (95% CI 13.5% to 16.6%), increased to 84.2% (95% CI 82.9% to 85.5%) in March 2021 (after vaccination availability) and reached 93.9% (95% CI 92.9% to 94.9%) in December 2021 (during booster vaccination availability and fourth (delta variant dominant) COVID-19 wave). Among not (yet) vaccinated participants the first monthly incidence of antibodies against SARS-CoV-2 was estimated to be 2.91% (95% CI 1.80% to 4.01%). The longevity of antibodies is higher in PHCPs with self-reported COVID-19 infection. CONCLUSIONS This study confirms that occupational health measures provided sufficient protection when managing patients. High uptake of vaccination resulted in high seroprevalence of SARS-CoV-2 antibodies in PHCPs in Belgium. Longevity of antibodies was supported by booster vaccination and virus circulation. TRIAL REGISTRATION NUMBER NCT04779424.
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Affiliation(s)
- Niels Adriaenssens
- Family Medicine & Population Health, Centre for General Practice, University of Antwerp Faculty of Medicine and Health Sciences, Antwerp (Wilrijk), Belgium
| | - Beatrice Scholtes
- General Practice Department, Primary Care and Health Research Unit, Liege University, Liege, Belgium
| | - Robin Bruyndonckx
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Hasselt University, Hasselt, Limburg, Belgium
- Epidemiology & Pharmacovigilance, P95, Leuven, Belgium
- Vaccine & Infectious Disease Institute, Laboratory of Medical Microbiology, University of Antwerp, Antwerp (Wilrijk), Belgium
| | - Pauline Van Ngoc
- General Practice Department, Primary Care and Health Research Unit, Liege University, Liege, Belgium
| | - Jan Yvan Jos Verbakel
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
- Department of Public Health and Primary Care, KU Leuven, Leuven, Flanders, Belgium
| | - An De Sutter
- Department of Public Health and Primary Care, Ghent University, Gent, Belgium
| | - Stefan Heytens
- Department of Public Health and Primary Care, Ghent University, Gent, Belgium
| | - Ann Van Den Bruel
- Department of Public Health and Primary Care, KU Leuven, Leuven, Flanders, Belgium
| | - Isabelle Desombere
- Department of Infectious Diseases in Humans, Sciensano, Brussels, Belgium
| | - Pierre Van Damme
- Vaccine & Infectious Disease Institute, Centre for the Evaluation of Vaccination, University of Antwerp Faculty of Medicine and Health Sciences, Antwerp (Wilrijk), Belgium
| | - Herman Goossens
- Vaccine & Infectious Disease Institute, Laboratory of Medical Microbiology, University of Antwerp, Antwerp (Wilrijk), Belgium
| | - Laetitia Buret
- General Practice Department, Primary Care and Health Research Unit, Liege University, Liege, Belgium
| | - Els Duysburgh
- Department of Epidemiology and Public Health, Sciensano, Brussels, Belgium
| | - Samuel Coenen
- Family Medicine & Population Health, Centre for General Practice, University of Antwerp Faculty of Medicine and Health Sciences, Antwerp (Wilrijk), Belgium
- Vaccine & Infectious Disease Institute, Laboratory of Medical Microbiology, University of Antwerp, Antwerp (Wilrijk), Belgium
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10
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D’Hulster L, Abrams S, Bruyndonckx R, Anthierens S, Adriaenssens N, Butler CC, Verheij T, Goossens H, Little P, Coenen S. Nationwide implementation of online communication skills training to reduce overprescribing of antibiotics: a stepped-wedge cluster randomized trial in general practice. JAC Antimicrob Resist 2022; 4:dlac070. [PMID: 35774072 PMCID: PMC9240414 DOI: 10.1093/jacamr/dlac070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Accepted: 06/07/2022] [Indexed: 11/15/2022] Open
Abstract
Objectives Primary care is responsible for a large proportion of unnecessary antibiotic use, which is one of the main drivers of antibiotic resistance. Randomized trials have found that online communication skills training for GPs reduces antibiotic prescribing for respiratory infections. This study assesses the real-world effect of implementing online communication skills training in general practice. Methods In a closed cohort stepped-wedge cluster randomized trial all Belgian GPs were invited to participate in online communication skills training courses (TRACE and INTRO) and provided with linked patient information booklets. The primary outcome was the antibiotic prescribing rate per 1000 patient contacts. Intention-to-treat and per protocol analyses were performed. Trial registration at ClinicalTrials.gov: NCT03265028. Results In total, 118 487 observations from 10 375 GPs were included in the analysis. Overall, 299 (2.88%) GPs completed TRACE and 93 (0.90%) completed INTRO, 30 of which completed both. There was no effect of the national implementation of TRACE and INTRO on the population-level antibiotic prescribing rate (prescribing rate ratio [PRR] = 0.99 [95% CI: 0.97–1.02]). GPs who actually completed TRACE prescribed fewer antibiotic prescriptions (PRR = 0.93 [95% CI: 0.90–0.95]). Conclusions Inviting GPs to complete an online communication skills training course and providing them with the linked patient information booklets did not reduce antibiotic prescribing. However, GPs who completed TRACE prescribed 7% fewer antibiotics, especially during winter. This suggests a significant decrease in population-wide antibiotic consumption could be achieved by focusing on increasing the uptake of this intervention by identifying and overcoming barriers to participation.
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Affiliation(s)
- Leon D’Hulster
- National Institute for Health and Disability Insurance , Galileelaan 5/01, 1210 Brussels , Belgium
| | - Steven Abrams
- Global Health Institute, Department of Family Medicine & Population Health (FAMPOP), University of Antwerp , Antwerp , Belgium
- Data Science Institute, Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BioStat), UHasselt , Diepenbeek , Belgium
| | - Robin Bruyndonckx
- Data Science Institute, Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BioStat), UHasselt , Diepenbeek , Belgium
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp , Antwerp , Belgium
| | - Sibyl Anthierens
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp , Antwerp , Belgium
- Centre for General Practice, Department of Family Medicine & Population Health (FAMPOP), University of Antwerp , Antwerp , Belgium
| | - Niels Adriaenssens
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp , Antwerp , Belgium
- Centre for General Practice, Department of Family Medicine & Population Health (FAMPOP), University of Antwerp , Antwerp , Belgium
| | - Chris C Butler
- Nuffield Department of Primary Care Health Sciences, University of Oxford , Oxford , United Kingdom
| | - Theo Verheij
- Julius Centre for Health, Sciences and Primary Care, University Medical Centre Utrecht , Utrecht , The Netherlands
| | - Herman Goossens
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp , Antwerp , Belgium
| | - Paul Little
- Primary Care Research Centre, Aldermoor Health Centre, Primary Care Population Sciences and Medical Education Unit, Faculty of Medicine, University of Southampton , Southampton , UK
| | - Samuel Coenen
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp , Antwerp , Belgium
- Centre for General Practice, Department of Family Medicine & Population Health (FAMPOP), University of Antwerp , Antwerp , Belgium
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11
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Bruyndonckx R, Bilcke J, van der Velden AW, Li X, Hens N, Coenen S, Butler CC, Beutels P. Impact of Adding Oseltamivir to Usual Care on Quality-Adjusted Life-Years During Influenza-Like Illness. Value Health 2022; 25:178-184. [PMID: 35094790 DOI: 10.1016/j.jval.2021.08.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 07/06/2021] [Accepted: 08/09/2021] [Indexed: 06/14/2023]
Abstract
OBJECTIVES The ALIC4E trial has shown that oseltamivir reduces recovery time while increasing the risk of nausea. This secondary analysis of the ALIC4E trial aimed to determine the gain in quality-adjusted life-years (QALYs) associated with adding oseltamivir to usual primary care in patients presenting with influenza-like illness (ILI). METHODS Patients with ILI were recruited during the influenza season (2015-2018) in 15 European countries. Patients were assigned to usual care with or without oseltamivir through stratified randomization (age, severity, comorbidities, and symptom onset). Patients' health status was valued with the EQ-5D and visual analog scale (VAS) for up to 28 days. Average EQ-5D and VAS scores over time were estimated for both treatment groups using one-inflated beta regression in children (<13 years old) and adults (≥13 years old). QALY gain was calculated as the difference between the groups. Sensitivity analysis considered the value set to convert EQ-5D answers to summary scores and the follow-up period. RESULTS In adults, oseltamivir gained 0.0006 (95% confidence interval 0.0002-0.0010) QALYs, whereas no statistically significant gain was found in children (14-day follow-up, EQ-5D). QALY gains were statistically significant in patients aged ≥65 years, patients without relevant comorbidities, or patients experiencing symptoms for ≤48 hours. Using VAS and accounting for 28-day follow-up resulted in higher QALY gain. CONCLUSIONS QALY gain owing to oseltamivir is limited compared with other diseases, and its clinical meaningfulness remains to be determined. Further analysis is needed to evaluate whether QALY gain and its impact on ILI treatment cost render oseltamivir cost-effective.
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Affiliation(s)
- Robin Bruyndonckx
- Interuniversity Institute for Biostatistics and Statistical Bioinformatics, Data Science Institute, Hasselt University, Hasselt, Belgium; Laboratory of Medical Microbiology, Vaccine and Infectious Disease Institute, University of Antwerp, Antwerp, Belgium
| | - Joke Bilcke
- Centre for Health Economic Research and Modelling Infectious Diseases, Vaccine and Infectious Disease Institute, University of Antwerp, Antwerp, Belgium.
| | - Alike W van der Velden
- Julius Centre for Health, Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Xiao Li
- Centre for Health Economic Research and Modelling Infectious Diseases, Vaccine and Infectious Disease Institute, University of Antwerp, Antwerp, Belgium
| | - Niel Hens
- Interuniversity Institute for Biostatistics and Statistical Bioinformatics, Data Science Institute, Hasselt University, Hasselt, Belgium; Centre for Health Economic Research and Modelling Infectious Diseases, Vaccine and Infectious Disease Institute, University of Antwerp, Antwerp, Belgium
| | - Samuel Coenen
- Laboratory of Medical Microbiology, Vaccine and Infectious Disease Institute, University of Antwerp, Antwerp, Belgium; Department of Family Medicine and Population Health, Centre for General Practice, University of Antwerp, Antwerp, Belgium
| | - Christopher C Butler
- Institute for Primary Care and Public Health, Cardiff University, Cardiff, England, UK
| | - Philippe Beutels
- Centre for Health Economic Research and Modelling Infectious Diseases, Vaccine and Infectious Disease Institute, University of Antwerp, Antwerp, Belgium
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12
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Adriaenssens N, Scholtes B, Bruyndonckx R, Verbakel JY, De Sutter A, Heytens S, Van den Bruel A, Desombere I, Van Damme P, Goossens H, Buret L, Duysburgh E, Coenen S. Prevalence and incidence of antibodies against SARS-CoV-2 among primary healthcare providers in Belgium during 1 year of the COVID-19 epidemic: prospective cohort study protocol. BMJ Open 2022; 12:e054688. [PMID: 35105642 PMCID: PMC8804304 DOI: 10.1136/bmjopen-2021-054688] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
INTRODUCTION National SARS-CoV-2 seroprevalence data provide essential information about population exposure to the virus and help predict the future course of the epidemic. Early cohort studies have suggested declines in levels of antibodies in individuals associated with, for example, illness severity, age and comorbidities. This protocol focuses on the seroprevalence among primary healthcare providers (PHCPs) in Belgium. PHCPs manage the vast majority of (COVID-19) patients and therefore play an essential role in the efficient organisation of healthcare. Currently, evidence is lacking on (1) how many PHCPs get infected with SARS-CoV-2 in Belgium, (2) the rate at which this happens, (3) their clinical spectrum, (4) their risk factors, (5) the effectiveness of the measures to prevent infection and (6) the accuracy of the serology-based point-of-care test (POCT) in a primary care setting. METHODS AND ANALYSIS This study will be set up as a prospective cohort study. General practitioners (GPs) and other PHCPs (working in a GP practice) will be recruited via professional networks and professional media outlets to register online to participate. Registered GPs and other PHCPs will be asked at each testing point (n=9) to perform a capillary blood sample antibody POCT targeting IgM and IgG against the receptor-binding domain of SARS-CoV-2 and complete an online questionnaire. The primary outcomes are the prevalence and incidence of antibodies against SARS-CoV-2 in PHCPs during a 12-month follow-up period. Secondary outcomes include the longevity of antibodies against SARS-CoV-2. ETHICS AND DISSEMINATION Ethical approval has been granted by the ethics committee of the University Hospital of Antwerp/University of Antwerp (Belgian registration number: 3002020000237). Alongside journal publications, dissemination activities include the publication of monthly reports to be shared with the participants and the general population through the publicly available website of the Belgian health authorities (Sciensano). TRIAL REGISTRATION NUMBER NCT04779424.
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Affiliation(s)
- Niels Adriaenssens
- Department of Family Medicine and Population Health (FAMPOP), University of Antwerp, Antwerpen, Belgium
| | - Beatrice Scholtes
- Département des Sciences Cliniques, University of Liege, Liege, Belgium
| | - Robin Bruyndonckx
- Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-BioStat), Data Science Institute, Hasselt University, Hasselt, Belgium
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerpen, Belgium
| | - Jan Y Verbakel
- Department of Public Health and Primary Care, KU Leuven, Leuven, Belgium
- Nuffield Department of Primary Care Health Sciences, Oxford University, Oxford, UK
| | - An De Sutter
- Department of Public Health and Primary Care, Ghent University, Gent, Belgium
| | - Stefan Heytens
- Department of Public Health and Primary Care, Ghent University, Gent, Belgium
| | - Ann Van den Bruel
- Department of Public Health and Primary Care, KU Leuven, Leuven, Belgium
| | - Isabelle Desombere
- Department of Infectious Diseases in Humans, Sciensano, Brussel, Belgium
| | - Pierre Van Damme
- Centre for the Evaluation of Vaccination, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerpen, Belgium
| | - Herman Goossens
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerpen, Belgium
| | - Laëtitia Buret
- Département des Sciences Cliniques, University of Liege, Liege, Belgium
| | - Els Duysburgh
- Department of Epidemiology and Public Health, Sciensano, Brussel, Belgium
| | - Samuel Coenen
- Department of Family Medicine and Population Health (FAMPOP), University of Antwerp, Antwerpen, Belgium
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerpen, Belgium
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13
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Nguyen MH, Fornes R, Kamau N, Danielsson H, Callens S, Fransson E, Engstrand L, Bruyndonckx R, Brusselaers N. OUP accepted manuscript. J Antimicrob Chemother 2022; 77:1461-1467. [PMID: 35233608 PMCID: PMC9047673 DOI: 10.1093/jac/dkac053] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Accepted: 01/28/2022] [Indexed: 11/13/2022] Open
Abstract
Objectives Methods Results Conclusions
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Affiliation(s)
- M H Nguyen
- I-BioStat, Data Science Institute, Hasselt University, Hasselt, Belgium
- Centre for Translational Microbiome Research, Department of Microbiology Tumour and Cell Biology, Karolinska Institutet, Stockholm, Sweden
| | - R Fornes
- Centre for Translational Microbiome Research, Department of Microbiology Tumour and Cell Biology, Karolinska Institutet, Stockholm, Sweden
| | - N Kamau
- I-BioStat, Data Science Institute, Hasselt University, Hasselt, Belgium
- Centre for Translational Microbiome Research, Department of Microbiology Tumour and Cell Biology, Karolinska Institutet, Stockholm, Sweden
| | - H Danielsson
- Centre for Translational Microbiome Research, Department of Microbiology Tumour and Cell Biology, Karolinska Institutet, Stockholm, Sweden
- Sach’s Children’s and Youth Hospital, Södersjukhuset, Stockholm, Sweden
| | - S Callens
- Department of Internal Medicine and Paediatrics, Ghent University, Ghent, Belgium
| | - E Fransson
- Centre for Translational Microbiome Research, Department of Microbiology Tumour and Cell Biology, Karolinska Institutet, Stockholm, Sweden
| | - L Engstrand
- Centre for Translational Microbiome Research, Department of Microbiology Tumour and Cell Biology, Karolinska Institutet, Stockholm, Sweden
| | - R Bruyndonckx
- I-BioStat, Data Science Institute, Hasselt University, Hasselt, Belgium
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - N. Brusselaers
- Centre for Translational Microbiome Research, Department of Microbiology Tumour and Cell Biology, Karolinska Institutet, Stockholm, Sweden
- Global Health Institute, Antwerp University, Antwerp, Belgium
- Department of Head and Skin, Ghent University, Ghent, Belgium
- Corresponding author. E-mail:
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14
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Megraud F, Bruyndonckx R, Coenen S, Wittkop L, Huang TD, Hoebeke M, Bénéjat L, Lehours P, Goossens H, Glupczynski Y. Helicobacter pylori resistance to antibiotics in Europe in 2018 and its relationship to antibiotic consumption in the community. Gut 2021; 70:1815-1822. [PMID: 33837118 DOI: 10.1136/gutjnl-2021-324032] [Citation(s) in RCA: 128] [Impact Index Per Article: 42.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Revised: 03/20/2021] [Accepted: 03/22/2021] [Indexed: 12/11/2022]
Abstract
OBJECTIVE Our aim was to prospectively assess the antibiotic resistance rates in Helicobacter pylori strains in Europe in 2018 and to study the link between antibiotic consumption in the community and H. pylori resistance levels in the different countries. DESIGN The proportion of primary antibiotic resistance cases of H. pylori and their corresponding risk factors were investigated in 24 centres from 18 European countries according to a standardised protocol. Data on antibiotic consumption in the community were collected for the period 2008-2017. The link between antibiotic consumption and resistance data was assessed using generalised linear mixed models. The model with the best fit was selected by means of the Akaike Information Criterion. RESULTS H. pylori resistance rates for the 1211 adult patients included were 21.4% for clarithromycin, 15.8% for levofloxacin and 38.9% for metronidazole and were significantly higher in Central/Western and Southern than in the Northern European countries.The best model fit was obtained for the Poisson distribution using 2013 consumption data. A significant association was found between H. pylori clarithromycin resistance and consumption in the community of macrolides (p=0.0003) and intermediate-acting macrolides (p=0.005), and between levofloxacin resistance and consumption of quinolones (p=0.0002) and second-generation quinolones (p=0.0003). CONCLUSION This study confirms the positive correlation between macrolide and quinolone consumption in the community and corresponding H. pylori resistance in European countries. Hence, H. pylori treatment with clarithromycin and levofloxacin should not be started without susceptibility testing in most European countries.
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Affiliation(s)
- Francis Megraud
- UMR BaRITOn, INSERM U1053, University of Bordeaux, Bordeaux, France .,National Reference Centre for Helicobacters, Bacteriology Laboratory, Pellegrin University Hospital, Bordeaux, France
| | - Robin Bruyndonckx
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium.,Data Science Institute (DSI), Hasselt University, Hasselt, Belgium
| | - Samuel Coenen
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | | | - Te-Din Huang
- Laboratory of Clinical Microbiology and National Reference Centre for Helicobacter pylori, CHU UCL Namur, Mont-Godinne, Belgium
| | - Martin Hoebeke
- Laboratory of Clinical Microbiology and National Reference Centre for Helicobacter pylori, CHU UCL Namur, Mont-Godinne, Belgium
| | - Lucie Bénéjat
- National Reference Centre for Helicobacters, Bacteriology Laboratory, Pellegrin University Hospital, Bordeaux, France
| | - Philippe Lehours
- UMR BaRITOn, INSERM U1053, University of Bordeaux, Bordeaux, France.,National Reference Centre for Helicobacters, Bacteriology Laboratory, Pellegrin University Hospital, Bordeaux, France
| | - Herman Goossens
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Youri Glupczynski
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium .,Laboratory of Clinical Microbiology and National Reference Centre for Helicobacter pylori, CHU UCL Namur, Mont-Godinne, Belgium
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15
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Tran TN, Vu DH, Nguyen HA, Abrams S, Bruyndonckx R, Nguyen TT, Tran NM, Trinh TA, Do THG, Pham HN, Nguyen GB, Coenen S. Predicting mortality in intensive care unit patients infected with Klebsiella pneumoniae: A retrospective cohort study. J Infect Chemother 2021; 28:10-18. [PMID: 34535404 DOI: 10.1016/j.jiac.2021.09.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Revised: 08/30/2021] [Accepted: 09/01/2021] [Indexed: 01/10/2023]
Abstract
INTRODUCTION Although several models to predict intensive care unit (ICU) mortality are available, their performance decreases in certain subpopulations because specific factors are not included. Moreover, these models often involve complex techniques and are not applicable in low-resource settings. We developed a prediction model and simplified risk score to predict 14-day mortality in ICU patients infected with Klebsiella pneumoniae. METHODOLOGY A retrospective cohort study was conducted using data of ICU patients infected with Klebsiella pneumoniae at the largest tertiary hospital in Northern Vietnam during 2016-2018. Logistic regression was used to develop our prediction model. Model performance was assessed by calibration (area under the receiver operating characteristic curve-AUC) and discrimination (Hosmer-Lemeshow goodness-of-fit test). A simplified risk score was also constructed. RESULTS Two hundred forty-nine patients were included, with an overall 14-day mortality of 28.9%. The final prediction model comprised six predictors: age, referral route, SOFA score, central venous catheter, intracerebral haemorrhage surgery and absence of adjunctive therapy. The model showed high predictive accuracy (AUC = 0.83; p-value Hosmer-Lemeshow test = 0.92). The risk score has a range of 0-12 corresponding to mortality risk 0-100%, which produced similar predictive performance as the original model. CONCLUSIONS The developed prediction model and risk score provide an objective quantitative estimation of individual 14-day mortality in ICU patients infected with Klebsiella pneumoniae. The tool is highly applicable in practice to help facilitate patient stratification and management, evaluation of further interventions and allocation of resources and care, especially in low-resource settings where electronic systems to support complex models are missing.
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Affiliation(s)
- Thuy Ngan Tran
- Department of Family Medicine & Population Health (FAMPOP), University of Antwerp, Antwerp, Belgium.
| | - Dinh Hoa Vu
- National Centre of Drug Information and Adverse Drug Reactions Monitoring, Hanoi University of Pharmacy, Hanoi, Viet Nam
| | - Hoang Anh Nguyen
- National Centre of Drug Information and Adverse Drug Reactions Monitoring, Hanoi University of Pharmacy, Hanoi, Viet Nam; Department of Pharmacy, Bach Mai Hospital, Hanoi, Viet Nam
| | - Steven Abrams
- Department of Family Medicine & Population Health (FAMPOP), University of Antwerp, Antwerp, Belgium; Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-BIOSTAT), Data Science Institute (DSI), Hasselt University, Hasselt, Belgium
| | - Robin Bruyndonckx
- Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-BIOSTAT), Data Science Institute (DSI), Hasselt University, Hasselt, Belgium; Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Thi Tuyen Nguyen
- National Centre of Drug Information and Adverse Drug Reactions Monitoring, Hanoi University of Pharmacy, Hanoi, Viet Nam
| | - Nhat Minh Tran
- National Centre of Drug Information and Adverse Drug Reactions Monitoring, Hanoi University of Pharmacy, Hanoi, Viet Nam
| | - The Anh Trinh
- Intensive Care Unit, Bach Mai Hospital, Hanoi, Viet Nam
| | | | - Hong Nhung Pham
- Department of Microbiology, Bach Mai Hospital, Hanoi, Viet Nam
| | | | - Samuel Coenen
- Department of Family Medicine & Population Health (FAMPOP), University of Antwerp, Antwerp, Belgium; Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
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16
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Versporten A, Bruyndonckx R, Adriaenssens N, Hens N, Monnet DL, Molenberghs G, Goossens H, Weist K, Coenen S. Consumption of cephalosporins in the community, European Union/European Economic Area, 1997-2017. J Antimicrob Chemother 2021; 76:ii22-ii29. [PMID: 34312658 PMCID: PMC8314097 DOI: 10.1093/jac/dkab174] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
Objectives Data on cephalosporin consumption in the community were collected from 30 EU/EEA countries over two decades. This article reviews temporal trends, seasonal variation, presence of change-points and changes in the composition of the main subgroups of cephalosporins. Methods For the period 1997–2017, data on consumption of cephalosporins (i.e. first-, second-, third- and fourth-generation cephalosporins; ATC subgroups J01DB, J01DC, J01DD and J01DE, respectively) in the community and aggregated at the level of the active substance, were collected using the WHO ATC/DDD methodology (ATC/DDD index 2019). Consumption was expressed in DDD per 1000 inhabitants per day and in packages per 1000 inhabitants per day. Cephalosporin consumption was analysed based on ATC-4 subgroup, and presented as trends, seasonal variation, presence of change-points and compositional changes. Results In 2017, cephalosporin consumption in the community expressed in DDD per 1000 inhabitants per day varied by a factor of 285 between countries with the highest (Greece) and the lowest (the Netherlands) consumption. Cephalosporin consumption did not change significantly between the first quarter of 1997 and the last quarter of 2017. Seasonal variation decreased significantly over time. Proportional consumption of second- and third-generation cephalosporins significantly increased over time compared with that of first-generation cephalosporins, and proportional consumption of fourth-generation cephalosporins significantly decreased compared with that of second- and third-generation cephalosporins. Conclusions Despite considerable variation between countries in the composition of cephalosporin consumption and trends over time, a significant shift towards consumption of more broad-spectrum cephalosporins in the community was observed across the EU/EEA during 1997–2017.
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Affiliation(s)
- Ann Versporten
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
- Corresponding author. E-mail:
| | - Robin Bruyndonckx
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Hasselt University, Data Science Institute, Hasselt, Belgium
| | - Niels Adriaenssens
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
- Centre for General Practice, Department of Family Medicine & Population Health (FAMPOP), University of Antwerp, Antwerp, Belgium
| | - Niel Hens
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Hasselt University, Data Science Institute, Hasselt, Belgium
- Centre for Health Economic Research and Modelling Infectious Diseases, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Dominique L Monnet
- Disease Programmes Unit, European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - Geert Molenberghs
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Hasselt University, Data Science Institute, Hasselt, Belgium
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Catholic University of Leuven, Leuven, Belgium
| | - Herman Goossens
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Klaus Weist
- Disease Programmes Unit, European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - Samuel Coenen
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
- Centre for General Practice, Department of Family Medicine & Population Health (FAMPOP), University of Antwerp, Antwerp, Belgium
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17
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Versporten A, Bruyndonckx R, Adriaenssens N, Hens N, Monnet DL, Molenberghs G, Goossens H, Weist K, Coenen S. Consumption of tetracyclines, sulphonamides and trimethoprim, and other antibacterials in the community, European Union/European Economic Area, 1997-2017. J Antimicrob Chemother 2021; 76:ii45-ii59. [PMID: 34312660 PMCID: PMC8314111 DOI: 10.1093/jac/dkab177] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Objectives Data on consumption of tetracyclines, sulphonamides and trimethoprim, and other antibacterials were collected from 30 EU/European Economic Area (EEA) countries over two decades. This article reviews temporal trends, seasonal variation, presence of change-points and changes in the composition of main subgroups of tetracyclines, sulphonamides and trimethoprim and other antibacterials. Methods For the period 1997–2017, data on consumption of tetracyclines (ATC group J01A), sulphonamides and trimethoprim (ATC group J01E), and other antibacterials (ATC group J01X) in the community and aggregated at the level of the active substance, were collected using the WHO ATC/DDD methodology (ATC/DDD index 2019). Consumption was expressed in DDD per 1000 inhabitants per day and in packages per 1000 inhabitants per day. Consumption of tetracyclines, sulphonamides and trimethoprim, and other antibacterials was analysed based on ATC-4 subgroups and presented as trends, seasonal variation, presence of change-points and compositional changes. Results In 2017, consumption of tetracyclines, sulphonamides and trimethoprim, and other antibacterials in the community expressed in DDD per 1000 inhabitants per day varied considerably between countries. Between 1997 and 2017, consumption of tetracyclines did not change significantly, while its seasonal variation significantly decreased over time. Consumption of sulphonamides and trimethoprim significantly decreased until 2006, and its seasonal variation significantly decreased over time. The consumption of other antibacterials showed no significant change over time or in seasonal variation. Conclusions Consumption and composition of tetracyclines, sulphonamides and trimethoprim, and other antibacterials showed wide variations between EU/EEA countries and over time. This represents an opportunity to further reduce consumption of these groups in some countries and improve the quality of their prescription.
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Affiliation(s)
- Ann Versporten
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Robin Bruyndonckx
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium.,Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Data Science Institute, Hasselt University, Hasselt, Belgium
| | - Niels Adriaenssens
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium.,Centre for General Practice, Department of Family Medicine & Population Health (FAMPOP), University of Antwerp, Antwerp, Belgium
| | - Niel Hens
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Data Science Institute, Hasselt University, Hasselt, Belgium.,Centre for Health Economic Research and Modelling Infectious Diseases, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Dominique L Monnet
- Disease Programmes Unit, European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - Geert Molenberghs
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Data Science Institute, Hasselt University, Hasselt, Belgium.,Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-BIOSTAT), Catholic University of Leuven, Leuven, Belgium
| | - Herman Goossens
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Klaus Weist
- Disease Programmes Unit, European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - Samuel Coenen
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium.,Centre for General Practice, Department of Family Medicine & Population Health (FAMPOP), University of Antwerp, Antwerp, Belgium
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18
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Adriaenssens N, Bruyndonckx R, Versporten A, Hens N, Monnet DL, Molenberghs G, Goossens H, Weist K, Coenen S. Consumption of macrolides, lincosamides and streptogramins in the community, European Union/European Economic Area, 1997-2017. J Antimicrob Chemother 2021; 76:ii30-ii36. [PMID: 34312653 PMCID: PMC8314107 DOI: 10.1093/jac/dkab175] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
OBJECTIVES Data on the consumption of macrolides, lincosamides and streptogramins (MLS) in the community were collected from 30 EU/European Economic Area (EEA) countries over two decades. This article reviews temporal trends, seasonal variation, presence of change-points and changes in composition of the main subgroups of MLS. METHODS For the period 1997-2017, data on consumption of MLS, i.e. ATC group J01F, in the community and aggregated at the level of the active substance, were collected using the WHO ATC/DDD methodology (ATC/DDD index 2019). Consumption was expressed in DDD per 1000 inhabitants per day and in packages per 1000 inhabitants per day. Consumption of MLS was analysed and presented as trends, seasonal variation, presence of change-points and compositional changes, using a classification based on mean plasma elimination half-life for macrolides. RESULTS In 2017, consumption of MLS in the community expressed in DDD per 1000 inhabitants per day varied by a factor of 13 between countries with the highest (Greece) and the lowest (Sweden) consumption. Consumption of MLS did not change significantly up to 2003, after which it significantly increased up to 2007. No significant change was observed after 2007. Consumption of MLS showed high seasonal variation. The proportional consumption of long-acting macrolides significantly increased over time compared with that of intermediate-acting macrolides, and proportional consumption of the latter increased compared with that of short-acting macrolides. CONCLUSIONS Consumption of MLS did not change significantly over time during 2007-2017, while the proportional consumption of long-acting macrolides increased. Seasonal variation remained high, which suggests that MLS are still prescribed inappropriately in many countries.
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Affiliation(s)
- Niels Adriaenssens
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium.,Centre for General Practice, Department of Family Medicine & Population Health (FAMPOP), University of Antwerp, Antwerp, Belgium
| | - Robin Bruyndonckx
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium.,Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Data Science Institute, Hasselt University, Hasselt, Belgium
| | - Ann Versporten
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Niel Hens
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Data Science Institute, Hasselt University, Hasselt, Belgium.,Centre for Health Economic Research and Modelling Infectious Diseases, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Dominique L Monnet
- Disease Programmes Unit, European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - Geert Molenberghs
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Data Science Institute, Hasselt University, Hasselt, Belgium.,Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Catholic University of Leuven, Leuven, Belgium
| | - Herman Goossens
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Klaus Weist
- Disease Programmes Unit, European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - Samuel Coenen
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium.,Centre for General Practice, Department of Family Medicine & Population Health (FAMPOP), University of Antwerp, Antwerp, Belgium
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19
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Adriaenssens N, Bruyndonckx R, Versporten A, Hens N, Monnet DL, Molenberghs G, Goossens H, Weist K, Coenen S. Consumption of quinolones in the community, European Union/European Economic Area, 1997-2017. J Antimicrob Chemother 2021; 76:ii37-ii44. [PMID: 34312652 PMCID: PMC8314103 DOI: 10.1093/jac/dkab176] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
Objectives Data on quinolone consumption in the community were collected from 30 EU/European Economic Area (EEA) countries over two decades. This article reviews temporal trends, seasonal variation, presence of change-points and changes in the composition of main subgroups of quinolones. Methods For the period 1997–2017, data on consumption of quinolones, i.e. ATC group J01M, in the community and aggregated at the level of the active substance, were collected using the WHO ATC/DDD methodology (ATC/DDD index 2019). Consumption was expressed in DDD per 1000 inhabitants per day and in packages per 1000 inhabitants per day. Quinolone consumption was analysed by subgroups based on pharmacokinetic profile, and presented as trends, seasonal variation, presence of change-points and compositional changes. Results In 2017, quinolone consumption in the community expressed in DDD per 1000 inhabitants per day varied by a factor of 8.2 between countries with the highest (Bulgaria) and the lowest (Norway) consumption. The second-generation quinolones accounted for >50% of quinolone consumption in most countries. Quinolone consumption significantly increased up to 2001, and did not change significantly afterwards. Seasonal variation increased significantly over time. Proportional consumption of third-generation quinolones significantly increased over time relative to that of second-generation quinolones, while proportional consumption of both third- and second-generation quinolones significantly increased relative to that of first-generation quinolones. Levofloxacin and moxifloxacin represented >40% of quinolone consumption in the community in southern EU/EEA countries. Conclusions Quinolone consumption in the community is no longer increasing in the EU/EEA, but its seasonal variation continues to increase significantly as is the proportion of quinolones to treat respiratory infections.
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Affiliation(s)
- Niels Adriaenssens
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium.,Centre for General Practice, Department of Family Medicine & Population Health (FAMPOP), University of Antwerp, Antwerp, Belgium
| | - Robin Bruyndonckx
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium.,Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Data Science Institute, Hasselt University, Hasselt, Belgium
| | - Ann Versporten
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Niel Hens
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Data Science Institute, Hasselt University, Hasselt, Belgium.,Centre for Health Economic Research and Modelling Infectious Diseases, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Dominique L Monnet
- Disease Programmes Unit, European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - Geert Molenberghs
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Data Science Institute, Hasselt University, Hasselt, Belgium.,Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Catholic University of Leuven, Leuven, Belgium
| | - Herman Goossens
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Klaus Weist
- Disease Programmes Unit, European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - Samuel Coenen
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium.,Centre for General Practice, Department of Family Medicine & Population Health (FAMPOP), University of Antwerp, Antwerp, Belgium
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20
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Adriaenssens N, Bruyndonckx R, Versporten A, Hens N, Monnet DL, Molenberghs G, Goossens H, Weist K, Coenen S. Quality appraisal of antibiotic consumption in the community, European Union/European Economic Area, 2009 and 2017. J Antimicrob Chemother 2021; 76:ii60-ii67. [PMID: 34312656 PMCID: PMC8314110 DOI: 10.1093/jac/dkab178] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Objectives The quality of antibiotic consumption in the community can be assessed using 12 drug-specific quality indicators (DSQIs) developed by the European Surveillance of Antimicrobial Consumption (ESAC) project. We compared quality in 2009 and 2017 in the EU/European Economic Area (EEA) and evaluated the impact of using different DDD values (ATC/DDD indices 2011 and 2019) for the 2009 quality assessment using these DSQIs and a joint scientific opinion (JSO) indicator. Methods We calculated the 12 DSQIs and the JSO indicator for 2017 and for 2009 for EU/EEA countries able to deliver values. For each of the indicators we grouped the 2017 and 2009 indicator values into four quartiles. To evaluate changes in quality between 2009 and 2017, we used the quartile distribution of the 2009 indicator values in 30 EU/EEA countries as benchmarks. In addition, we compared the quality assessment for 2009 using the ATC/DDD indices 2011 and 2019. Results In 2017, a difference in the quality of antibiotic consumption in the community between northern and southern EU/EEA countries remained, but also several eastern EU/EEA countries shifted towards lower quality. Quality of antibiotic consumption decreased between 2009 and 2017 in particular indicator values for penicillin, quinolone, relative β-lactam and broad- versus narrow-spectrum antibiotic consumption, and seasonal variation. Using different ATC/DDD indices did not substantially change countries’ ranking based on their DSQI values. Conclusions The quality of antibiotic consumption in the community as measured by the DSQIs further decreased between 2009 and 2017, especially in Southern and Eastern European countries. A continuous effort to improve antibiotic consumption is essential to reduce antibiotic consumption in general and the use of broad-spectrum antibiotics in particular.
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Affiliation(s)
- Niels Adriaenssens
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium.,Centre for General Practice, Department of Family Medicine & Population Health (FAMPOP), University of Antwerp, Antwerp, Belgium
| | - Robin Bruyndonckx
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium.,Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Data Science Institute, Hasselt University, Hasselt, Belgium
| | - Ann Versporten
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Niel Hens
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Data Science Institute, Hasselt University, Hasselt, Belgium.,Centre for Health Economic Research and Modelling Infectious Diseases, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Dominique L Monnet
- Disease Programmes Unit, European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - Geert Molenberghs
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Data Science Institute, Hasselt University, Hasselt, Belgium.,Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Catholic University of Leuven, Leuven, Belgium
| | - Herman Goossens
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Klaus Weist
- Disease Programmes Unit, European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - Samuel Coenen
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium.,Centre for General Practice, Department of Family Medicine & Population Health (FAMPOP), University of Antwerp, Antwerp, Belgium
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21
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Bruyndonckx R, Adriaenssens N, Versporten A, Hens N, Monnet DL, Molenberghs G, Goossens H, Weist K, Coenen S. Consumption of antibiotics in the community, European Union/European Economic Area, 1997-2017. J Antimicrob Chemother 2021; 76:ii7-ii13. [PMID: 34312654 PMCID: PMC8314117 DOI: 10.1093/jac/dkab172] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Objectives Data on antibiotic consumption in the community were collected from 30 EU/EEA countries over two decades. This article reviews temporal trends, seasonal variation, presence of change-points and changes in the composition of the main antibiotic groups. Methods For the period 1997–2017, data on consumption of antibiotics, i.e. antibacterials for systemic use (ATC group J01), in the community, aggregated at the level of the active substance, were collected using the WHO ATC/DDD methodology (ATC/DDD index 2019). Consumption was expressed in DDD per 1000 inhabitants per day and in packages per 1000 inhabitants per day. Antibiotic consumption was analysed based on ATC-3 groups, and presented as trends, seasonal variation, presence of change-points and compositional changes. Results In 2017, antibiotic consumption in the community expressed in DDD per 1000 inhabitants per day varied by a factor 3.6 between countries with the highest (Greece) and the lowest (the Netherlands) consumption. Antibiotic consumption in the EU/EEA did not change significantly over time. Antibiotic consumption showed a significant seasonal variation, which decreased over time. The number of DDD per package significantly increased over time. The proportional consumption of sulphonamides and trimethoprim (J01E) relative to other groups significantly decreased over time, while the proportional consumption of other antibacterials (J01X) relative to other groups significantly increased over time. Conclusions Overall, antibiotic consumption in the community in the EU/EEA did not change during 1997–2017, while seasonal variation consistently decreased over time. The number of DDD per package increased during 1997–2017.
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Affiliation(s)
- Robin Bruyndonckx
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium.,Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Data Science Institute, Hasselt University, Hasselt, Belgium
| | - Niels Adriaenssens
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium.,Centre for General Practice, Department of Family Medicine & Population Health (FAMPOP), University of Antwerp, Antwerp, Belgium
| | - Ann Versporten
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Niel Hens
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Data Science Institute, Hasselt University, Hasselt, Belgium.,Centre for Health Economic Research and Modelling Infectious Diseases, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Belgium
| | - Dominique L Monnet
- Disease Programmes Unit, European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - Geert Molenberghs
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Data Science Institute, Hasselt University, Hasselt, Belgium.,Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Catholic University of Leuven, Leuven, Belgium
| | - Herman Goossens
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Klaus Weist
- Disease Programmes Unit, European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - Samuel Coenen
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium.,Centre for General Practice, Department of Family Medicine & Population Health (FAMPOP), University of Antwerp, Antwerp, Belgium
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Vermeulen H, Coenen S, Hens N, Bruyndonckx R. Impact of changing reimbursement criteria on the use of fluoroquinolones in Belgium. J Antimicrob Chemother 2021; 76:2725-2732. [PMID: 34374778 PMCID: PMC8446932 DOI: 10.1093/jac/dkab255] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Accepted: 06/22/2021] [Indexed: 11/14/2022] Open
Abstract
Objectives The criteria for the reimbursement of fluoroquinolones changed in Belgium on 1 May 2018. This study aims to quantify the difference in fluoroquinolone use after this change, and to assess the timing and persistence of this effect, both in terms of total reimbursed fluoroquinolone use and its relative proportion. Methods Longitudinal reimbursement data on fluoroquinolone use in the Belgian community from January 2017 to November 2018 were analysed to identify a change in reimbursed fluoroquinolone use expressed in DDD per 1000 inhabitants per day (DID), using a set of non-linear mixed models including change-points. In addition, longitudinal data on the relative proportion of prescribed fluoroquinolones from January 2017 to December 2018 were analysed to identify a change in the relative proportion of prescribed fluoroquinolones using generalized estimation equations including change-points. Results Fluoroquinolone use dropped significantly immediately after the change in reimbursement criteria, from 2.21 DID (95% CI: 2.03–2.38) to 0.52 DID (95% CI: 0.48–0.56) and from 9.14% (95% CI: 8.75%–9.56%) to 6.52% (95% CI: 6.04%–7.04%). The observed decrease in fluoroquinolone use persisted over time. Conclusions While fluoroquinolone use was still above the target of 5% after the change in reimbursement criteria, its implementation helped to lower fluoroquinolone use in Belgium.
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Affiliation(s)
- Helene Vermeulen
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Data Science Institute (DSI), Hasselt University, Hasselt, Belgium
| | - Samuel Coenen
- Laboratory of Medical Microbiology (LMM), Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium.,Department of Family Medicine and Population Health (FAMPOP), University of Antwerp, Antwerp, Belgium
| | - Niel Hens
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Data Science Institute (DSI), Hasselt University, Hasselt, Belgium.,Department of Family Medicine and Population Health (FAMPOP), University of Antwerp, Antwerp, Belgium.,Centre for Health Economic Research and Modelling Infectious Diseases, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Robin Bruyndonckx
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Data Science Institute (DSI), Hasselt University, Hasselt, Belgium.,Laboratory of Medical Microbiology (LMM), Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
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Bruyndonckx R, Coenen S, Hens N, Vandael E, Catry B, Goossens H. Antibiotic use and resistance in Belgium: the impact of two decades of multi-faceted campaigning. Acta Clin Belg 2021; 76:280-288. [PMID: 32024450 DOI: 10.1080/17843286.2020.1721135] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
Objective: To present an overview of almost two decades of multi-faceted campaigning by the Belgian Antibiotic Policy Coordination Committee (BAPCOC) and partners, and its impact on public and prescribers' awareness, outpatient antibiotic use, its cost and antimicrobial resistance in Belgium.Methods: Awareness of both public and prescribers was assessed through pre- and post-campaign interviews and surveys. Outpatient antibiotic use was evaluated using national reimbursement data expressed in number of defined daily doses and packages (a good proxy for treatments) per 1000 inhabitants per day (DID and PID, respectively) from July 1997 to June 2018. Its cost was studied using the same data expressed in number of euros per 1000 inhabitants per day. Antimicrobial resistance was evaluated between 1986 and 2017 using national data on the proportion of Streptococcus pneumoniae isolates not susceptible to penicillins, macrolides and tetracyclines.Results: Antibiotic awareness improved significantly, with general practitioners preferred by 87.5% of respondents as source of information. The Belgian outpatient antibiotic use has decreased by 12.8% in DID and by 42.8% in PID in the 2017-2018 winter compared to the winter before the start of its public awareness campaigns (1999-2000). This evolution coincided with decreasing costs for antibiotics and decreasing antimicrobial resistance. Despite multi-faceted campaigning, outpatient antibiotic use and use of broad-spectrum antibiotics, especially fluoroquinolones and amoxicillin with clavulanic acid, are still high in Belgium.Conclusion: Almost two decades of multi-faceted campaigning coincide with improvements in antibiotic awareness among the public and prescribers, outpatient antibiotic use and resistance. Nevertheless, additional efforts are needed to reach the targets set in BAPCOC's national action plan 2014-2019. Therefore, a new national action plan was developed for 2020-2024 using a One Health approach.
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Affiliation(s)
- R. Bruyndonckx
- Laboratory of Medical Microbiology, Vaccine & Infectious Diseases Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
- Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-biostat), Hasselt University, Hasselt, Belgium
| | - S. Coenen
- Laboratory of Medical Microbiology, Vaccine & Infectious Diseases Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
- Department of Primary and Interdisciplinary Care (ELIZA), University of Antwerp, Antwerp, Belgium
- Department of Epidemiology and Social Medicine (ESOC), University of Antwerp, Antwerp, Belgium
| | - N. Hens
- Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-biostat), Hasselt University, Hasselt, Belgium
- Department of Epidemiology and Social Medicine (ESOC), University of Antwerp, Antwerp, Belgium
- Centre for Health Economic Research and Modelling Infectious Diseases (CHERMID), Vaccine & Infectious Disease Institute, University of Antwerp, Antwerp, Belgium
| | - E. Vandael
- Healthcare-associated Infection & Antimicrobial Resistance (NSIH), Scientific Directorate Epidemiology and Public Health, Brussels, Belgium
| | - B. Catry
- Healthcare-associated Infection & Antimicrobial Resistance (NSIH), Scientific Directorate Epidemiology and Public Health, Brussels, Belgium
- Faculty of Medicine, Université Libre De Bruxelles (ULB), Brussels, Belgium
| | - H. Goossens
- Laboratory of Medical Microbiology, Vaccine & Infectious Diseases Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
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Bruyndonckx R, Hoxha A, Quinten C, Ayele GM, Coenen S, Versporten A, Adriaenssens N, Muller A, Heuer O, Monnet DL, Goossens H, Molenberghs G, Weist K, Hens N. Change-points in antibiotic consumption in the community, European Union/European Economic Area, 1997-2017. J Antimicrob Chemother 2021; 76:ii68-ii78. [PMID: 34312659 PMCID: PMC8314102 DOI: 10.1093/jac/dkab179] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
OBJECTIVES Surveillance of antibiotic consumption in the community is of utmost importance to inform and evaluate control strategies. Data on two decades of antibiotic consumption in the community were collected from 30 EU/European Economic Area (EEA) countries. This article reviews temporal trends and the presence of abrupt changes in subgroups of relevance in antimicrobial stewardship. METHODS For the period 1997-2017, data on yearly antibiotic consumption in the community, aggregated at the level of the active substance, were collected using the WHO ATC classification and expressed in DDD (ATC/DDD index 2019) per 1000 inhabitants per day. We applied a range of non-linear mixed models to assess the presence of changes in the consumption of antibacterials for systemic use (ATC group J01) and eight antibiotic subgroups. RESULTS For the majority of the studied groups, a country-specific change-point model provided the best fit. Depending on the antibiotic group/subgroup and on the country, change-points were spread out between 2000 and 2013. CONCLUSIONS Due to the heterogeneity in antibiotic consumption in the community across EU/EEA countries, a country-specific change-point model provided the better fit. Given the limitations of this model, our recommendation for the included countries is to carefully interpret the country-specific results presented in this article and to use the tutorial included in this series to conduct their own change-point analysis when evaluating the impact of changes in regulations, public awareness campaigns, and other national interventions to improve antibiotic consumption in the community.
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Affiliation(s)
- Robin Bruyndonckx
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Data Science Institute, Hasselt University, Hasselt, Belgium
| | | | - Chantal Quinten
- Disease Programmes Unit, European Centre for Disease Prevention and Control, Stockholm, Sweden
| | | | - Samuel Coenen
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
- Centre for General Practice, Department of Family Medicine & Population Health (FAMPOP), University of Antwerp, Antwerp, Belgium
| | - Ann Versporten
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Niels Adriaenssens
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
- Centre for General Practice, Department of Family Medicine & Population Health (FAMPOP), University of Antwerp, Antwerp, Belgium
| | - Arno Muller
- Disease Programmes Unit, European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - Ole Heuer
- Disease Programmes Unit, European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - Dominique L Monnet
- Disease Programmes Unit, European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - Herman Goossens
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Geert Molenberghs
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Data Science Institute, Hasselt University, Hasselt, Belgium
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Catholic University of Leuven, Leuven, Belgium
| | - Klaus Weist
- Disease Programmes Unit, European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - Niel Hens
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Data Science Institute, Hasselt University, Hasselt, Belgium
- Centre for Health Economic Research and Modelling Infectious Diseases (CHERMID), Vaccine & Infectious Disease Institute, University of Antwerp, Antwerp, Belgium
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Bruyndonckx R, Coenen S, Adriaenssens N, Versporten A, Monnet DL, Goossens H, Molenberghs G, Weist K, Hens N. Analysing the trend over time of antibiotic consumption in the community: a tutorial on the detection of common change-points. J Antimicrob Chemother 2021; 76:ii79-ii85. [PMID: 34312655 PMCID: PMC8314099 DOI: 10.1093/jac/dkab180] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
OBJECTIVES This tutorial describes and illustrates statistical methods to detect time trends possibly including abrupt changes (referred to as change-points) in the consumption of antibiotics in the community. METHODS For the period 1997-2017, data on consumption of antibacterials for systemic use (ATC group J01) in the community, aggregated at the level of the active substance, were collected using the WHO ATC/DDD methodology and expressed in DDD (ATC/DDD index 2019) per 1000 inhabitants per day. Trends over time and presence of common change-points were studied through a set of non-linear mixed models. RESULTS After a thorough description of the set of models used to assess the time trend and presence of common change-points herein, the methodology was applied to the consumption of antibacterials for systemic use (ATC J01) in 25 EU/European Economic Area (EEA) countries. The best fit was obtained for a model including two change-points: one in the first quarter of 2004 and one in the last quarter of 2008. CONCLUSIONS Allowing for the inclusion of common change-points improved model fit. Individual countries investigating changes in their antibiotic consumption pattern can use this tutorial to analyse their country data.
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Affiliation(s)
- Robin Bruyndonckx
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Data Science Institute, Hasselt University, Hasselt, Belgium
| | - Samuel Coenen
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
- Centre for General Practice, Department of Family Medicine & Population Health (FAMPOP), University of Antwerp, Antwerp, Belgium
| | - Niels Adriaenssens
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
- Centre for General Practice, Department of Family Medicine & Population Health (FAMPOP), University of Antwerp, Antwerp, Belgium
| | - Ann Versporten
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Dominique L Monnet
- Disease Programmes, European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - Herman Goossens
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Geert Molenberghs
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Data Science Institute, Hasselt University, Hasselt, Belgium
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Catholic University of Leuven, Leuven, Belgium
| | - Klaus Weist
- Disease Programmes, European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - Niel Hens
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Data Science Institute, Hasselt University, Hasselt, Belgium
- Centre for Health Economic Research and Modelling Infectious Diseases, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
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Bruyndonckx R, Adriaenssens N, Versporten A, Hens N, Monnet DL, Molenberghs G, Goossens H, Weist K, Coenen S. Consumption of antibiotics in the community, European Union/European Economic Area, 1997-2017: data collection, management and analysis. J Antimicrob Chemother 2021; 76:ii2-ii6. [PMID: 34312651 PMCID: PMC8314094 DOI: 10.1093/jac/dkab171] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
OBJECTIVES This article introduces a series of articles on antibiotic consumption in the community between 1997 and 2017, which provide an update of previous articles covering the periods 1997-2003 and 1997-2009. METHODS In this article, differences in participating countries, the ATC/DDD classification system, and data collection, validation and analysis between the current and previous series are described. RESULTS In the previous series, 33 European countries provided valid data for further analysis, while the current series focused on 30 countries belonging to the EU or the European Economic Area (EEA). For both series, data were collected in accordance with the WHO ATC classification system. While the previous series reported data in accordance with the ATC/DDD index 2011, the current series employed the ATC/DDD index 2019. Both series focused on consumption of antibacterials for systemic use (ATC J01) and collected data expressed in DDD per 1000 inhabitants per day and packages per 1000 inhabitants per day. When studying consumption expressed in packages per 1000 inhabitants per day, countries reporting total care data, i.e. community and hospital sector combined, were included in the previous series but excluded in the current series. While the previous series used non-linear mixed models to evaluate time trends in antibiotic consumption, the current series allowed for inclusion of change-points with a data-driven location. In addition, both series assessed the composition and quality of antibiotic consumption in the EU/EEA. CONCLUSIONS The updated analyses of two decades of ESAC-Net data provide the most comprehensive and detailed description of antibiotic consumption in the community in Europe.
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Affiliation(s)
- Robin Bruyndonckx
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Data Science Institute, Hasselt University, Hasselt, Belgium
| | - Niels Adriaenssens
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
- Centre for General Practice, Department of Family Medicine & Population Health (FAMPOP), University of Antwerp, Antwerp, Belgium
| | - Ann Versporten
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Niel Hens
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Data Science Institute, Hasselt University, Hasselt, Belgium
- Centre for Health Economic Research and Modelling Infectious Diseases, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Dominique L Monnet
- Disease Programmes Unit, European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - Geert Molenberghs
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Data Science Institute, Hasselt University, Hasselt, Belgium
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Catholic University of Leuven, Leuven, Belgium
| | - Herman Goossens
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Klaus Weist
- Disease Programmes Unit, European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - Samuel Coenen
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
- Centre for General Practice, Department of Family Medicine & Population Health (FAMPOP), University of Antwerp, Antwerp, Belgium
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27
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Bruyndonckx R, Adriaenssens N, Hens N, Versporten A, Monnet DL, Molenberghs G, Goossens H, Weist K, Coenen S. Consumption of penicillins in the community, European Union/European Economic Area, 1997-2017. J Antimicrob Chemother 2021; 76:ii14-ii21. [PMID: 34312657 PMCID: PMC8314108 DOI: 10.1093/jac/dkab173] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
OBJECTIVES Data on consumption of penicillins in the community were collected from 30 EU/European Economic Area (EEA) countries over two decades. This article reviews temporal trends, seasonal variation, presence of change-points and changes in the composition of the main subgroups of penicillins. METHODS For the period 1997-2017, data on consumption of penicillins, i.e. β-lactam antibacterials, penicillins (ATC group J01C), in the community aggregated at the level of the active substance, were collected using the WHO ATC/DDD methodology (ATC/DDD index 2019). Consumption was expressed in DDD per 1000 inhabitants per day and in packages per 1000 inhabitants per day. Consumption of penicillins was analysed based on ATC-4 subgroups, and presented as trends, seasonal variation, presence of change-points and compositional changes. RESULTS In 2017, consumption of penicillins in the community expressed in DDD per 1000 inhabitants per day varied by a factor of 4.9 between countries with the highest (Spain) and the lowest (the Netherlands) consumption. An increase in consumption of penicillins, which was not statistically significant, was observed between 1997 and 2003 and up to 2010. A decrease, which was not statistically significant, was observed from 2010 onwards. Proportional consumption of combinations of penicillins, including β-lactamase inhibitors (J01CR) increased during 1997-2017, which coincided with a decrease in the proportional consumption of extended-spectrum penicillins (J01CA) and narrow-spectrum penicillins (J01CE). CONCLUSIONS Considerable variation in the patterns of consumption of penicillins was observed between EU/EEA countries. The consumption of penicillins in the EU/EEA community did not change significantly over time, while the proportional consumption of combinations of penicillins increased.
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Affiliation(s)
- Robin Bruyndonckx
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Data Science Institute, Hasselt University, Hasselt, Belgium
| | - Niels Adriaenssens
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
- Centre for General Practice, Department of Family Medicine & Population Health (FAMPOP), University of Antwerp, Antwerp, Belgium
| | - Niel Hens
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Data Science Institute, Hasselt University, Hasselt, Belgium
- Centre for Health Economic Research and Modelling Infectious Diseases, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Belgium
| | - Ann Versporten
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Dominique L Monnet
- Disease Programmes Unit, European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - Geert Molenberghs
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Data Science Institute, Hasselt University, Hasselt, Belgium
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Catholic University of Leuven, Leuven, Belgium
| | - Herman Goossens
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Klaus Weist
- Disease Programmes Unit, European Centre for Disease Prevention and Control, Stockholm, Sweden
| | - Samuel Coenen
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
- Centre for General Practice, Department of Family Medicine & Population Health (FAMPOP), University of Antwerp, Antwerp, Belgium
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Bruyndonckx R, Stuart B, Little P, Hens N, Ieven M, Butler CC, Verheij TJM, Goossens H, Coenen S. The Effect of Amoxicillin in Adult Patients Presenting to Primary Care with Acute Cough Predicted to Have Pneumonia or a Combined Viral-Bacterial Infection. Antibiotics (Basel) 2021; 10:antibiotics10070817. [PMID: 34356738 PMCID: PMC8300796 DOI: 10.3390/antibiotics10070817] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Revised: 06/18/2021] [Accepted: 07/02/2021] [Indexed: 11/16/2022] Open
Abstract
While most cases of acute cough are self-limiting, antibiotics are prescribed to over 50%. This proportion is inappropriately high given that benefit from treatment with amoxicillin could only be demonstrated in adults with pneumonia (based on chest radiograph) or combined viral-bacterial infection (based on modern microbiological methodology). As routine use of chest radiographs and microbiological testing is costly, clinical prediction rules could be used to identify these patient subsets. In this secondary analysis of data from a multicentre randomised controlled trial in adults presenting to primary care with acute cough, we used prediction rules for pneumonia or combined infection and assessed the effect of amoxicillin in patients predicted to have pneumonia or combined infection on symptom duration, symptom severity and illness deterioration. In total, 2056 patients that fulfilled all inclusion criteria were randomised, 1035 to amoxicillin, 1021 to placebo. Neither patients with a predicted pneumonia nor patients with a predicted combined infection were significantly more likely to benefit from amoxicillin. While the studied clinical prediction rules may help primary care clinicians to reduce antibiotic prescribing for low-risk patients, they did not identify adult acute cough patients that would benefit from amoxicillin treatment.
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Affiliation(s)
- Robin Bruyndonckx
- Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-BIOSTAT), Data Science Institute (DSI), Hasselt University, 3500 Hasselt, Belgium;
- Laboratory of Medical Microbiology, Vaccine & Infectious Diseases Institute (VAXINFECTIO), University of Antwerp, 2610 Antwerp, Belgium; (M.I.); (H.G.); (S.C.)
- Correspondence: ; Tel.: +32-11-268-631
| | - Beth Stuart
- Aldermoor Health Centre, University of Southampton, Southampton SO16 5ST, UK; (B.S.); (P.L.)
| | - Paul Little
- Aldermoor Health Centre, University of Southampton, Southampton SO16 5ST, UK; (B.S.); (P.L.)
| | - Niel Hens
- Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-BIOSTAT), Data Science Institute (DSI), Hasselt University, 3500 Hasselt, Belgium;
- Centre for Health Economic Research and Modelling Infectious Diseases (CHERMID), Vaccine & Infectious Disease Institute, University of Antwerp, 2610 Antwerp, Belgium
| | - Margareta Ieven
- Laboratory of Medical Microbiology, Vaccine & Infectious Diseases Institute (VAXINFECTIO), University of Antwerp, 2610 Antwerp, Belgium; (M.I.); (H.G.); (S.C.)
| | - Christopher C. Butler
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford OX2 6GG, UK;
| | - Theo J. M. Verheij
- Julius Centre for Health, Sciences and Primary Care, University Medical Centre Utrecht, 3508 GA Utrecht, The Netherlands;
| | - Herman Goossens
- Laboratory of Medical Microbiology, Vaccine & Infectious Diseases Institute (VAXINFECTIO), University of Antwerp, 2610 Antwerp, Belgium; (M.I.); (H.G.); (S.C.)
| | - Samuel Coenen
- Laboratory of Medical Microbiology, Vaccine & Infectious Diseases Institute (VAXINFECTIO), University of Antwerp, 2610 Antwerp, Belgium; (M.I.); (H.G.); (S.C.)
- Centre for General Practice, Department of Family Medicine & Population Health (FAMPOP), University of Antwerp, 2610 Antwerp, Belgium
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Delesie M, Knaepen L, Dendale P, Vijgen J, Ector J, Verbeeck J, Bruyndonckx R, Desteghe L, Heidbuchel H. Effect of targeted education for atrial fibrillation patients: Design of the EduCare-AF Study. Eur J Clin Invest 2021; 51:e13442. [PMID: 33128229 DOI: 10.1111/eci.13442] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Revised: 10/26/2020] [Accepted: 10/27/2020] [Indexed: 11/30/2022]
Affiliation(s)
- Michiel Delesie
- Research Group Cardiovascular Diseases, University of Antwerp, Antwerp, Belgium.,Antwerp University Hospital, Edegem, Belgium.,Faculty of Medicine and Life Sciences, Hasselt University, Hasselt, Belgium
| | - Lieselotte Knaepen
- Research Group Cardiovascular Diseases, University of Antwerp, Antwerp, Belgium.,Antwerp University Hospital, Edegem, Belgium.,Faculty of Medicine and Life Sciences, Hasselt University, Hasselt, Belgium.,Heart Centre Hasselt, Jessa Hospital, Hasselt, Belgium
| | - Paul Dendale
- Faculty of Medicine and Life Sciences, Hasselt University, Hasselt, Belgium.,Heart Centre Hasselt, Jessa Hospital, Hasselt, Belgium
| | - Johan Vijgen
- Heart Centre Hasselt, Jessa Hospital, Hasselt, Belgium
| | - Joris Ector
- Department of Cardiology, University Hospital Gasthuisberg, Leuven, Belgium
| | - Johan Verbeeck
- Data Science Institute, Interuniversity Institute for Biostatistics and Statistical Bioinformatics, Hasselt University, Hasselt, Belgium
| | - Robin Bruyndonckx
- Data Science Institute, Interuniversity Institute for Biostatistics and Statistical Bioinformatics, Hasselt University, Hasselt, Belgium
| | - Lien Desteghe
- Research Group Cardiovascular Diseases, University of Antwerp, Antwerp, Belgium.,Antwerp University Hospital, Edegem, Belgium.,Faculty of Medicine and Life Sciences, Hasselt University, Hasselt, Belgium.,Heart Centre Hasselt, Jessa Hospital, Hasselt, Belgium
| | - Hein Heidbuchel
- Research Group Cardiovascular Diseases, University of Antwerp, Antwerp, Belgium.,Antwerp University Hospital, Edegem, Belgium.,Faculty of Medicine and Life Sciences, Hasselt University, Hasselt, Belgium
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van Halem K, Bruyndonckx R, van der Hilst J, Cox J, Driesen P, Opsomer M, Van Steenkiste E, Stessel B, Dubois J, Messiaen P. Correction to: Risk factors for mortality in hospitalized patients with COVID-19 at the start of the pandemic in Belgium: a etrospective cohort study. BMC Infect Dis 2020; 20:956. [PMID: 33317451 PMCID: PMC7734606 DOI: 10.1186/s12879-020-05690-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Affiliation(s)
- Karlijn van Halem
- Department of Infectious Diseases and Immunity, Jessa Hospital, Stadsomvaart 11, 3500, Hasselt, Belgium.
| | - Robin Bruyndonckx
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Data Science Institute (DSI), Hasselt University, Hasselt, Belgium.,Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Universiteitsplein 1, 2610, Antwerp, Belgium
| | - Jeroen van der Hilst
- Department of Infectious Diseases and Immunity, Jessa Hospital, Stadsomvaart 11, 3500, Hasselt, Belgium.,Faculty of Medicine and Health Sciences, Hasselt University, Hasselt, Belgium
| | - Janneke Cox
- Department of Infectious Diseases and Immunity, Jessa Hospital, Stadsomvaart 11, 3500, Hasselt, Belgium.,Faculty of Medicine and Health Sciences, Hasselt University, Hasselt, Belgium
| | - Paulien Driesen
- Department of Infectious Diseases and Immunity, Jessa Hospital, Stadsomvaart 11, 3500, Hasselt, Belgium
| | - Matthias Opsomer
- Department of Infectious Diseases and Immunity, Jessa Hospital, Stadsomvaart 11, 3500, Hasselt, Belgium
| | - Eveline Van Steenkiste
- Department of Infectious Diseases and Immunity, Jessa Hospital, Stadsomvaart 11, 3500, Hasselt, Belgium
| | - Björn Stessel
- Department of Intensive Care Jessa Hospital, Hasselt, Belgium
| | | | - Peter Messiaen
- Department of Infectious Diseases and Immunity, Jessa Hospital, Stadsomvaart 11, 3500, Hasselt, Belgium.,Faculty of Medicine and Health Sciences, Hasselt University, Hasselt, Belgium
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van Halem K, Bruyndonckx R, van der Hilst J, Cox J, Driesen P, Opsomer M, Van Steenkiste E, Stessel B, Dubois J, Messiaen P. Risk factors for mortality in hospitalized patients with COVID-19 at the start of the pandemic in Belgium: a retrospective cohort study. BMC Infect Dis 2020; 20:897. [PMID: 33246431 PMCID: PMC7691970 DOI: 10.1186/s12879-020-05605-3] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Accepted: 11/09/2020] [Indexed: 12/15/2022] Open
Abstract
Background Belgium was among the first countries in Europe with confirmed coronavirus disease 2019 (COVID-19) cases. Since the first diagnosis on February 3rd, the epidemic has quickly evolved, with Belgium at the crossroads of Europe, being one of the hardest hit countries. Although risk factors for severe disease in COVID-19 patients have been described in Chinese and United States (US) cohorts, good quality studies reporting on clinical characteristics, risk factors and outcome of European COVID-19 patients are still scarce. Methods This study describes the clinical characteristics, complications and outcomes of 319 hospitalized COVID-19 patients, admitted to a tertiary care center at the start of the pandemic in Belgium, and aims to identify the main risk factors for in-hospital mortality in a European context using univariate and multivariate logistic regression analysis. Results Most patients were male (60%), the median age was 74 (IQR 61–83) and 20% of patients were admitted to the intensive care unit, of whom 63% needed invasive mechanical ventilation. The overall case fatality rate was 25%. The best predictors of in-hospital mortality in multivariate analysis were older age, and renal insufficiency, higher lactate dehydrogenase and thrombocytopenia. Patients admitted early in the epidemic had a higher mortality compared to patients admitted later in the epidemic. In univariate analysis, patients with obesity did have an overall increased risk of death, while overweight on the other hand showed a trend towards lower mortality. Conclusions Most patients hospitalized with COVID-19 during the first weeks of the epidemic in Belgium were admitted with severe disease and the overall case fatality rate was high. The identified risk factors for mortality are not easily amenable at short term, underscoring the lasting need of effective therapeutic and preventative measures. Supplementary Information The online version contains supplementary material available at 10.1186/s12879-020-05605-3.
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Affiliation(s)
- Karlijn van Halem
- Department of Infectious Diseases and Immunity, Jessa Hospital, Stadsomvaart 11, 3500, Hasselt, Belgium.
| | - Robin Bruyndonckx
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Data Science Institute (DSI), Hasselt University, Hasselt, Belgium.,Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Universiteitsplein 1, 2610, Antwerp, Belgium
| | - Jeroen van der Hilst
- Department of Infectious Diseases and Immunity, Jessa Hospital, Stadsomvaart 11, 3500, Hasselt, Belgium.,Faculty of Medicine and Health Sciences, Hasselt University, Hasselt, Belgium
| | - Janneke Cox
- Department of Infectious Diseases and Immunity, Jessa Hospital, Stadsomvaart 11, 3500, Hasselt, Belgium.,Faculty of Medicine and Health Sciences, Hasselt University, Hasselt, Belgium
| | - Paulien Driesen
- Department of Infectious Diseases and Immunity, Jessa Hospital, Stadsomvaart 11, 3500, Hasselt, Belgium
| | - Matthias Opsomer
- Department of Infectious Diseases and Immunity, Jessa Hospital, Stadsomvaart 11, 3500, Hasselt, Belgium
| | - Eveline Van Steenkiste
- Department of Infectious Diseases and Immunity, Jessa Hospital, Stadsomvaart 11, 3500, Hasselt, Belgium
| | - Björn Stessel
- Department of Intensive care Jessa Hospital, Hasselt, Belgium
| | | | - Peter Messiaen
- Department of Infectious Diseases and Immunity, Jessa Hospital, Stadsomvaart 11, 3500, Hasselt, Belgium.,Faculty of Medicine and Health Sciences, Hasselt University, Hasselt, Belgium
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Bruyndonckx R, Latour K, Atud GA, Dubovy P, Jaspers S, Hens N, Catry B, Goossens H, Coenen S. Time trend of prevalence and susceptibility to nitrofurantoin of urinary MDR Escherichia coli from outpatients. J Antimicrob Chemother 2020; 74:3264-3267. [PMID: 31377782 DOI: 10.1093/jac/dkz323] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2019] [Revised: 06/27/2019] [Accepted: 06/29/2019] [Indexed: 01/14/2023] Open
Abstract
OBJECTIVES To assess the time trend of the prevalence of urinary MDR Escherichia coli in Belgian outpatients (2005 versus 2011-12), the antibiotic susceptibility of urinary MDR E. coli, and the time trend of non-susceptibility to nitrofurantoin, i.e. first-line treatment for uncomplicated urinary tract infections (UTIs), of urinary MDR E. coli (2005 versus 2011-12). METHODS In this secondary analysis of a multicentre study, which collected a convenience sample of voluntary participating laboratories (15 and 8 in 2005 and 2011-12, respectively), we analysed antimicrobial susceptibilities (ampicillin, amoxicillin/clavulanate, cefalotin, ciprofloxacin, nitrofurantoin and trimethoprim/sulfamethoxazole) of urinary E. coli. MDR was defined as resistance to three or more of these agents. The prevalence of MDR E. coli and its non-susceptibility to nitrofurantoin was compared between 2005 and 2011-12 using a generalized estimating equation model. RESULTS MDR status could be determined for 9704 and 12512 urinary E. coli isolates from 7911 and 9441 patients in 2005 and 2011-12, respectively, with most patients being women (79% in both study periods). The prevalence of MDR increased from 28.4% (2758/9704) in 2005 to 34.3% (4286/12512) in 2011-12 (adjusted OR 1.305; 95% CI 1.220-1.397). Within the MDR isolates, the prevalence of nitrofurantoin non-susceptibility decreased from 23.2% (623/2684) in 2005 to 10.7% (455/4253) in 2011-12 (adjusted OR 0.424; 95% CI 0.363-0.494). CONCLUSIONS Despite a high prevalence of MDR E. coli in urinary samples from Belgian outpatients, nitrofurantoin could still be recommended as first-line empirical treatment in uncomplicated UTIs.
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Affiliation(s)
- Robin Bruyndonckx
- Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-BIOSTAT), Hasselt University, Hasselt, Belgium.,Laboratory of Medical Microbiology, Vaccine & Infectious Diseases Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Katrien Latour
- Healthcare-Associated Infection & Antimicrobial Resistance (NSIH), Scientific Directorate Epidemiology and Public Health, Sciensano, Brussels, Belgium
| | | | - Patrick Dubovy
- Faculty of Sciences, Hasselt University, Hasselt, Belgium
| | - Stijn Jaspers
- Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-BIOSTAT), Hasselt University, Hasselt, Belgium
| | - Niel Hens
- Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-BIOSTAT), Hasselt University, Hasselt, Belgium.,Department of Epidemiology and Social Medicine (ESOC), University of Antwerp, Antwerp, Belgium.,Centre for Health Economic Research and Modelling Infectious Diseases (CHERMID), Vaccine & Infectious Disease Institute, University of Antwerp, Antwerp, Belgium
| | - Boudewijn Catry
- Healthcare-Associated Infection & Antimicrobial Resistance (NSIH), Scientific Directorate Epidemiology and Public Health, Sciensano, Brussels, Belgium.,Faculty of Medicine, Université Libre de Bruxelles (ULB), Brussels, Belgium
| | - Herman Goossens
- Laboratory of Medical Microbiology, Vaccine & Infectious Diseases Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Samuel Coenen
- Laboratory of Medical Microbiology, Vaccine & Infectious Diseases Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium.,Faculty of Sciences, Hasselt University, Hasselt, Belgium.,Department of Primary and Interdisciplinary Care (ELIZA), University of Antwerp, Antwerp, Belgium
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Chaname Pinedo LE, Bruyndonckx R, Catry B, Latour K, Goossens H, Abrams S, Coenen S. Fluoroquinolone resistance in Escherichia coli isolates after exposure to non-fluoroquinolone antibiotics: a retrospective case-control study. J Antimicrob Chemother 2020; 75:1985-1992. [PMID: 32395754 DOI: 10.1093/jac/dkaa128] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2019] [Revised: 03/06/2020] [Accepted: 03/11/2020] [Indexed: 12/11/2022] Open
Abstract
OBJECTIVES To investigate whether prior exposure to non-fluoroquinolone antibiotics increases the risk of fluoroquinolone resistance in Escherichia coli. METHODS This was a secondary analysis of data collected retrospectively in a case-control study linking microbiological test results (isolated bacteria and their susceptibility) of urine samples routinely collected from primary, secondary and tertiary care patients in Belgium with information on prior antibiotic use at the patient level up to 1 year previously. RESULTS In urine samples from 6125 patients, 7204 E. coli isolates were retrieved [1949 fluoroquinolone-resistant isolates (cases) and 5255 fluoroquinolone-susceptible isolates (controls)]. After adjusting for potential confounders (including fluoroquinolone use) and correcting for multiple testing there were lower odds of fluoroquinolone resistance in E. coli isolates after exposure to cefazolin (OR = 0.65; 95% CI = 0.52-0.81; P = 0.00014) and higher odds after exposure to trimethoprim/sulfamethoxazole (OR = 1.56; 95% CI = 1.23-1.97; P =0.00020) or nitrofurantoin (OR = 1.50; 95% CI = 1.23-1.84; P =0.000083). A sensitivity analysis excluding samples with antibiotic use during the 6 months prior to the sampling date confirmed the higher odds of fluoroquinolone resistance after exposure to trimethoprim/sulfamethoxazole and nitrofurantoin. CONCLUSIONS Assuming no residual confounding or other biases, this study suggests that exposure to non-fluoroquinolone antibiotics, i.e. trimethoprim/sulfamethoxazole and nitrofurantoin, might be causally related to fluoroquinolone resistance in E. coli isolates from urinary samples. Future prospective research is needed to confirm non-fluoroquinolone antibiotics as potential drivers of fluoroquinolone resistance.
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Affiliation(s)
| | - Robin Bruyndonckx
- Interuniversity Institute for Biostatistics and statistical Bioinformatics, Data Science Institute, Hasselt University, Diepenbeek, Belgium.,Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute, University of Antwerp, Antwerp, Belgium
| | - Boudewijn Catry
- Healthcare-Associated Infections and Antimicrobial Resistance Unit, Scientific Directorate of Epidemiology and Public Health, Sciensano, Brussels, Belgium.,Faculty of Medicine, Université libre de Bruxelles, Brussels, Belgium
| | - Katrien Latour
- Healthcare-Associated Infections and Antimicrobial Resistance Unit, Scientific Directorate of Epidemiology and Public Health, Sciensano, Brussels, Belgium
| | - Herman Goossens
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute, University of Antwerp, Antwerp, Belgium
| | - Steven Abrams
- Department of Epidemiology and Social Medicine, University of Antwerp, Antwerp, Belgium.,Interuniversity Institute for Biostatistics and statistical Bioinformatics, Data Science Institute, Hasselt University, Diepenbeek, Belgium
| | - Samuel Coenen
- Department of Epidemiology and Social Medicine, University of Antwerp, Antwerp, Belgium.,Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute, University of Antwerp, Antwerp, Belgium.,Department of Primary and Interdisciplinary Care, University of Antwerp, Antwerp, Belgium
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Bruyndonckx R, Coenen S, Butler C, Verheij T, Little P, Hens N, Beutels P, Ieven M, Goossens H. Respiratory syncytial virus and influenza virus infection in adult primary care patients: Association of age with prevalence, diagnostic features and illness course. Int J Infect Dis 2020; 95:384-390. [PMID: 32320810 PMCID: PMC7167228 DOI: 10.1016/j.ijid.2020.04.020] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2019] [Revised: 04/06/2020] [Accepted: 04/07/2020] [Indexed: 02/05/2023] Open
Abstract
RSV prevalence in patients age 75+ was twice the prevalence in those under 60. Influenza prevalence is not associated with age. Diagnostics are not associated with age for RSV and influenza. Illness course is associated with age for both RSV and influenza.
Objectives To better target new vaccines and treatments being developed for respiratory syncytial virus (RSV) and influenza virus (influenza), we studied the association of age with prevalence, diagnostic features and course of illness of these infections in primary care patients. Methods Secondary analysis of observational data on the aetiology, diagnosis and prognosis in adults presenting to primary care with acute cough in 12 European countries (2007–2010) using regression analyses corrected for clustering of patients within countries. Age groups were 18–59 years, 60–74 years, and 75 years and older (75+). Results Nasopharyngeal swabs for 144 (4.6%), 169 (5.4%) and 104 (3.4%) out of 3104 patients were polymerase chain reaction (PCR) positive for RSV, influenza A and influenza B, respectively. RSV prevalence in patients 75+ (8.5%) was twice the prevalence in those under 60 years (4.2%). Influenza prevalence was not associated with age. Diagnostic features for these viruses were not associated with age. Symptom duration was associated with age for RSV and influenza B, but not for influenza A. The odds of unresolved symptoms after 28 days were associated with age for RSV only. Illness deterioration was associated with age for RSV, with patients 75+ at increased risk, but not for influenza. Conclusion In adults presenting to primary care with acute cough, the diagnostic features of RSV or influenza infection are not associated with age. For RSV both the prevalence and illness course are significantly worse at higher age, for influenza only the illness course is.
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Affiliation(s)
- Robin Bruyndonckx
- Data Science Institute (DSI), Hasselt University, Hasselt, Belgium; Laboratory of Medical Microbiology, Vaccine & Infectious Diseases Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium.
| | - Samuel Coenen
- Laboratory of Medical Microbiology, Vaccine & Infectious Diseases Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium; Department of Epidemiology and Social Medicine (ESOC), University of Antwerp, Antwerp, Belgium; Department of Primary and Interdisciplinary Care (ELIZA), University of Antwerp, Antwerp, Belgium
| | - Chris Butler
- Institute for Primary Care and Public Health, Cardiff University, Cardiff, UK
| | - Theo Verheij
- Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Paul Little
- Aldermoor Health Centre, University of Southampton, Southampton, UK
| | - Niel Hens
- Data Science Institute (DSI), Hasselt University, Hasselt, Belgium; Centre for Health Economic Research and Modelling Infectious Diseases (CHERMID), Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Philippe Beutels
- Centre for Health Economic Research and Modelling Infectious Diseases (CHERMID), Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Margareta Ieven
- Laboratory of Medical Microbiology, Vaccine & Infectious Diseases Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Herman Goossens
- Laboratory of Medical Microbiology, Vaccine & Infectious Diseases Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
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Biggel M, Heytens S, Latour K, Bruyndonckx R, Goossens H, Moons P. Asymptomatic bacteriuria in older adults: the most fragile women are prone to long-term colonization. BMC Geriatr 2019; 19:170. [PMID: 31226945 PMCID: PMC6588879 DOI: 10.1186/s12877-019-1181-4] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2019] [Accepted: 06/04/2019] [Indexed: 12/31/2022] Open
Abstract
Background The diagnosis of urinary tract infections (UTIs) in institutionalized older adults is often based on vague symptoms and a positive culture. The high prevalence of asymptomatic bacteriuria (ABU), which cannot be easily discriminated from an acute infection in this population, is frequently neglected, leading to a vast over-prescription of antibiotics. This study aimed to identify subpopulations predisposed to transient or long-term ABU. Methods Residents in a long-term care facility were screened for ABU. Mid-stream urine samples were collected during two sampling rounds, separated by 10 weeks, each consisting of an initial and a confirmative follow-up sample. Results ABU occurred in approximately 40% of the participants and was mostly caused by Escherichia coli. Long-term ABU (> 3 months) was found in 30% of the subjects. The frailest women with urinary incontinence and dementia had drastically increased rates of ABU and especially long-term ABU. ABU was best predicted by a scale describing the functional independence of older adults. Conclusions Institutionalized women with incontinence have ABU prevalence rates of about 80% and are often persistent carriers. Such prevalence rates should be considered in clinical decision making as they devalue the meaning of a positive urine culture as a criterion to diagnose UTIs. Diagnostic strategies are urgently needed to avoid antibiotic overuse and to identify patients at risk to develop upper UTI. Electronic supplementary material The online version of this article (10.1186/s12877-019-1181-4) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Michael Biggel
- Laboratory of Medical Microbiology, University of Antwerp, Universiteitsplein 1, building S, 2610 Wilrijk, Antwerp, Belgium
| | - Stefan Heytens
- Department of Family Medicine and Primary Health Care, Ghent University, Ghent, Belgium
| | - Katrien Latour
- Operational Directorate Epidemiology & Public Health, Sciensano, Brussels, Belgium.,Department of Public Health and Primary Care, KU Leuven, Leuven, Belgium
| | - Robin Bruyndonckx
- Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-BIOSTAT), Hasselt University, Hasselt, Belgium
| | - Herman Goossens
- Laboratory of Medical Microbiology, University of Antwerp, Universiteitsplein 1, building S, 2610 Wilrijk, Antwerp, Belgium
| | - Pieter Moons
- Laboratory of Medical Microbiology, University of Antwerp, Universiteitsplein 1, building S, 2610 Wilrijk, Antwerp, Belgium.
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Pattyn J, Van Keer S, Biesmans S, Ieven M, Vanderborght C, Beyers K, Vankerckhoven V, Bruyndonckx R, Van Damme P, Vorsters A. Human papillomavirus detection in urine: Effect of a first-void urine collection device and timing of collection. J Virol Methods 2018; 264:23-30. [PMID: 30452931 DOI: 10.1016/j.jviromet.2018.11.008] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2018] [Revised: 10/22/2018] [Accepted: 11/15/2018] [Indexed: 02/02/2023]
Abstract
Great interest has been directed towards the use of first-void (FV) urine as a liquid biopsy for high-risk HPV DNA testing. The aim of this study was to investigate the potential effect of a first generation FV urine collection device on the detection of HPV DNA and to assess if the concentration of HPV DNA varies between FV urine collected in the morning and those collected later during the day. In this prospective cohort study, 33 self-reported HPV-positive women participated. An FV urine sample was collected by these women in the morning (first urine of the day) and another sample was collected later that day for four consecutive days using two different collection methods; i.e., the Colli-Pee® and a standard urine cup. Samples were collected at home and returned at ambient temperature to the laboratory by postal mail. HPV DNA testing was conducted with the Riatol qPCR HPV genotyping assay. Based on the combined generalized linear mixed model used, there was no significant impact of the timing of collection (morning versus later during the day) on copies of HPV DNA, whereas Colli-Pee® collected samples show higher HPV concentrations than cup collected samples. However, at high concentrations of hDNA, the benefit of the Colli-Pee® disappeared.
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Affiliation(s)
- Jade Pattyn
- Centre for the Evaluation of Vaccination (CEV), Vaccine & Infectious Disease Institute (VAXINFECTIO), Faculty of Medicine and Health Sciences, University of Antwerp, Belgium.
| | - Severien Van Keer
- Centre for the Evaluation of Vaccination (CEV), Vaccine & Infectious Disease Institute (VAXINFECTIO), Faculty of Medicine and Health Sciences, University of Antwerp, Belgium
| | - Samantha Biesmans
- Centre for the Evaluation of Vaccination (CEV), Vaccine & Infectious Disease Institute (VAXINFECTIO), Faculty of Medicine and Health Sciences, University of Antwerp, Belgium
| | - Margareta Ieven
- Centre for the Evaluation of Vaccination (CEV), Vaccine & Infectious Disease Institute (VAXINFECTIO), Faculty of Medicine and Health Sciences, University of Antwerp, Belgium; Laboratory of Medical Microbiology (LMM), Vaccine & Infectious Disease Institute (VAXINFECTIO), Faculty of Medicine and Health Sciences, University of Antwerp, Belgium
| | - Charlotte Vanderborght
- Centre for the Evaluation of Vaccination (CEV), Vaccine & Infectious Disease Institute (VAXINFECTIO), Faculty of Medicine and Health Sciences, University of Antwerp, Belgium
| | | | - Vanessa Vankerckhoven
- Centre for the Evaluation of Vaccination (CEV), Vaccine & Infectious Disease Institute (VAXINFECTIO), Faculty of Medicine and Health Sciences, University of Antwerp, Belgium; Novosanis nv, Wijnegem, Belgium
| | - Robin Bruyndonckx
- Laboratory of Medical Microbiology (LMM), Vaccine & Infectious Disease Institute (VAXINFECTIO), Faculty of Medicine and Health Sciences, University of Antwerp, Belgium; Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-BIOSTAT), Hasselt University, Belgium
| | - Pierre Van Damme
- Centre for the Evaluation of Vaccination (CEV), Vaccine & Infectious Disease Institute (VAXINFECTIO), Faculty of Medicine and Health Sciences, University of Antwerp, Belgium
| | - Alex Vorsters
- Centre for the Evaluation of Vaccination (CEV), Vaccine & Infectious Disease Institute (VAXINFECTIO), Faculty of Medicine and Health Sciences, University of Antwerp, Belgium
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Peeters LM, van Munster CE, Van Wijmeersch B, Bruyndonckx R, Lamers I, Hellings N, Popescu V, Thalheim C, Feys P. Multidisciplinary data infrastructures in multiple sclerosis: Why they are needed and can be done! Mult Scler 2018; 25:500-509. [PMID: 30381984 DOI: 10.1177/1352458518807076] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Personalized treatment is highly desirable in multiple sclerosis (MS). We believe that multidisciplinary measurements including clinical, functional and patient-reported outcome measures in combination with extensive patient profiling can enhance personalized treatment and rehabilitation strategies. We elaborate on four reasons behind this statement: (1) MS disease activity and progression are complex and multidimensional concepts in nature and thereby defy a one-size-fits-all description, (2) functioning, progression, treatment, and rehabilitation effects are interdependent and should be investigated together, (3) personalized healthcare is based on the dynamics of system biology and on technology that confirms a patient's fundamental biology and (4) inclusion of patient-reported outcome measures can facilitate patient-relevant healthcare. We discuss currently available multidisciplinary MS data initiatives and introduce joint actions to further increase the overall success. With this topical review, we hope to drive the MS community to invest in expanding towards more multidisciplinary and longitudinal data collection.
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Affiliation(s)
| | | | - Bart Van Wijmeersch
- Department of Neurology, Biomedical Research Institute, Hasselt University, Hasselt, Belgium/Rehabilitation & MS Center, Overpelt, Belgium
| | - Robin Bruyndonckx
- Interuniversity Institute for Biostatistics and statistical Bioinformatics, Hasselt University, Hasselt, Belgium/Laboratory of Medical Microbiology, Vaccine & Infectious Diseases Institute, University of Antwerp, Antwerp, Belgium
| | - Ilse Lamers
- Department of Neurology, Biomedical Research Institute, Hasselt University, Hasselt, Belgium/Rehabilitation & MS Center, Overpelt, Belgium
| | - Niels Hellings
- Biomedical Research Institute, Hasselt University, Hasselt, Belgium
| | - Veronica Popescu
- Department of Neurology, Biomedical Research Institute, Hasselt University, Hasselt, Belgium/Rehabilitation & MS Center, Overpelt, Belgium
| | - Christoph Thalheim
- External Affairs, European Multiple Sclerosis Platform, Brussels, Belgium
| | - Peter Feys
- Biomedical Research Institute, Hasselt University, Hasselt, Belgium
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Catry B, Latour K, Bruyndonckx R, Diba C, Geerdens C, Coenen S. Characteristics of the antibiotic regimen that affect antimicrobial resistance in urinary pathogens. Antimicrob Resist Infect Control 2018; 7:76. [PMID: 29946451 PMCID: PMC6006702 DOI: 10.1186/s13756-018-0368-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2018] [Accepted: 06/07/2018] [Indexed: 01/13/2023] Open
Abstract
Background Treatment duration, treatment interval, formulation and type of antimicrobial (antibiotic) are modifiable factors that will influence antimicrobial selection pressure. Currently, the impact of the route of administration on the occurrence of resistance in humans is unclear. Methods In this retrospective multi-center cohort study, we assessed the impact of different variables on antimicrobial resistance (AMR) in pathogens isolated from the urinary tract in older adults. A generalized estimating equations (GEE) model was constructed using 7397 Escherichia coli (E. coli) isolates. Results Resistance in E. coli was higher when more antibiotics had been prescribed before isolation of the sample, especially in women (significant interaction p = 0.0016) and up to nine preceding prescriptions it was lower for higher proportions of preceding parenteral prescriptions (significant interactions p = 0.0067). The laboratory identity, dying, and the time between prescription and sampling were important confounders (p < 0.001). Conclusions Our model describing shows a dose-response relation between antibiotic use and AMR in E. coli isolated from urine samples of older adults, and, for the first time, that higher proportions of preceding parenteral prescriptions are significantly associated with lower probabilities of AMR, provided that the number of preceding prescriptions is not extremely high (≥10 during the 1.5 year observation period; 93% of 5650 included patients). Trial registration Retrospectively registered.
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Affiliation(s)
- Boudewijn Catry
- Healthcare-associated infections & Antimicrobial resistance (https://www.nsih.be), Sciensano, Ruy Juliette Wytsmanstraat 14, Brussels, 1050 Belgium
| | - Katrien Latour
- Healthcare-associated infections & Antimicrobial resistance (https://www.nsih.be), Sciensano, Ruy Juliette Wytsmanstraat 14, Brussels, 1050 Belgium
- Department of Public Health and Primary Care, KU Leuven - University of Leuven, Leuven, Belgium
| | - Robin Bruyndonckx
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Hasselt University, Hasselt, Belgium
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Camellia Diba
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Hasselt University, Hasselt, Belgium
| | - Candida Geerdens
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Hasselt University, Hasselt, Belgium
| | - Samuel Coenen
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
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Bruyndonckx R, Verhoeven V, Anthierens S, Cornelis K, Ackaert K, Gielen B, Coenen S. The implementation of academic detailing and its effectiveness on appropriate prescribing of pain relief medication: a real-world cluster randomized trial in Belgian general practices. Implement Sci 2018; 13:6. [PMID: 29316945 PMCID: PMC5761112 DOI: 10.1186/s13012-017-0703-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2017] [Accepted: 12/26/2017] [Indexed: 12/04/2022] Open
Abstract
BACKGROUND In Belgium, the debate about the effect of the national academic detailing service (ADS) on prescribing quality in general practice is ongoing. In order to evaluate both the implementation strategies of the ADS and its effectiveness on appropriate prescribing of pain relief medication, we conducted a real-world cluster randomized controlled trial (cRCT). METHODS In a pragmatic cRCT, all Belgian general practices previously visited by Farmaka were assessed for eligibility and randomized. Only practices randomized to the intervention group were invited for an academic detailing visit on appropriate prescribing of pain relief medication. GPs were unaware of the study, ensuring the production of real-world evidence but were given the option to opt out from the analysis. An objective outcome assessment was obtained using routinely collected reimbursement data. Primary outcomes were the proportion of patients reimbursed for an analgesic or NSAID, the defined daily dose of paracetamol per patient per month, the proportion of patients reimbursed for a recommended NSAID among those reimbursed for any NSAID and the proportion of patients reimbursed for both an NSAID and a proton pump inhibitor among those reimbursed for an NSAID. The impact of practice, GP and academic detailer characteristics were also assessed. RESULTS Three thousand five hundred twenty-nine general practices (4530 GPs) were eligible and randomized. One thousand six hundred ninety-eight practices (2171 GPs) in the intervention group and one thousand seven hundred three (2163 GPs) in the control group were included in the analysis. The intervention had a significant impact on the proportion of patients reimbursed for a recommended NSAID among those reimbursed for any NSAID (increase in odds (95% CI): 19% (10-29%)). A clear impact on other outcomes could not be detected. Additionally, we showed that the characteristics of the academic detailers might impact the effectiveness of the visit. CONCLUSIONS National implementation of academic detailing in Belgian general practices provided by Farmaka significantly improved the proportion of recommended NSAIDs prescribed by GPs, but not other outcomes related to appropriate prescribing of pain relief medication. TRIAL REGISTRATION NCT01761864 . Registered 2 January 2013.
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Affiliation(s)
- Robin Bruyndonckx
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium.
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), University of Hasselt, Agoralaan building D, 3590 Diepenbeek, Hasselt, Belgium.
| | - Veronique Verhoeven
- Department of Primary and Interdisciplinary Care (ELIZA), University of Antwerp, Antwerp, Belgium
| | - Sibyl Anthierens
- Department of Primary and Interdisciplinary Care (ELIZA), University of Antwerp, Antwerp, Belgium
| | - Koen Cornelis
- Intermutualistic Agency (IMA-AIM), Brussels, Belgium
| | | | - Birgit Gielen
- Intermutualistic Agency (IMA-AIM), Brussels, Belgium
| | - Samuel Coenen
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
- Department of Primary and Interdisciplinary Care (ELIZA), University of Antwerp, Antwerp, Belgium
- Department of Epidemiology and Social Medicine (ESOC), University of Antwerp, Antwerp, Belgium
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Bruyndonckx R, Hens N, Aerts M. Simulation-based evaluation of the linear-mixed model in the presence of an increasing proportion of singletons. Biom J 2017; 60:49-65. [PMID: 29067702 DOI: 10.1002/bimj.201700025] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2017] [Revised: 08/21/2017] [Accepted: 09/10/2017] [Indexed: 11/07/2022]
Abstract
Data in medical sciences often have a hierarchical structure with lower level units (e.g. children) nested in higher level units (e.g. departments). Several specific but frequently studied settings, mainly in longitudinal and family research, involve a large number of units that tend to be quite small, with units containing only one element referred to as singletons. Regardless of sparseness, hierarchical data should be analyzed with appropriate methodology such as, for example linear-mixed models. Using a simulation study, based on the structure of a data example on Ceftriaxone consumption in hospitalized children, we assess the impact of an increasing proportion of singletons (0-95%), in data with a low, medium, or high intracluster correlation, on the stability of linear-mixed models parameter estimates, confidence interval coverage and F test performance. Some techniques that are frequently used in the presence of singletons include ignoring clustering, dropping the singletons from the analysis and grouping the singletons into an artificial unit. We show that both the fixed and random effects estimates and their standard errors are stable in the presence of an increasing proportion of singletons. We demonstrate that ignoring clustering and dropping singletons should be avoided as they come with biased standard error estimates. Grouping the singletons into an artificial unit might be considered, although the linear-mixed model performs better even when the proportion of singletons is high. We conclude that the linear-mixed model is stable in the presence of singletons when both lower- and higher level sample sizes are fixed. In this setting, the use of remedial measures, such as ignoring clustering and grouping or removing singletons, should be dissuaded.
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Affiliation(s)
- Robin Bruyndonckx
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Hasselt University, Diepenbeek, Belgium
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Niel Hens
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Hasselt University, Diepenbeek, Belgium
- Centre for Health Economic Research and Modelling of Infectious Diseases (CHERMID), Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Marc Aerts
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Hasselt University, Diepenbeek, Belgium
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Maes B, Bakkus M, Boeckx N, Boone E, Cauwelier B, Denys B, De Schouwer P, Devos T, El Housni H, Hillen F, Jacobs K, Lambert F, Louagie H, Maes MB, Meeus P, Moreau E, Nollet F, Peeters K, Saussoy P, Van Lint P, Vaerman JL, Vaeyens F, Vandepoele K, Vannuffel P, Ver Elst K, Vermeulen K, Bruyndonckx R. A novel approach forBCR-ABL1standardization to improve International Scale estimation. Int J Lab Hematol 2016; 38:674-684. [DOI: 10.1111/ijlh.12556] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2016] [Accepted: 06/13/2016] [Indexed: 01/06/2023]
Affiliation(s)
- B. Maes
- Laboratory for Molecular Diagnostics; Jessa Hospital; Hasselt Belgium
| | - M. Bakkus
- Laboratory of Haematology; University Hospital Brussels; Brussels Belgium
| | - N. Boeckx
- Department of Laboratory Medicine; University Hospitals Leuven; Leuven Belgium
| | - E. Boone
- Laboratory for Molecular Diagnostics; AZ Delta; Roeselare Belgium
| | - B. Cauwelier
- Department of Laboratory Medicine; AZ Sint-Jan Brugge-Oostende AV; Brugge Belgium
| | - B. Denys
- Laboratory for Molecular Diagnostics - Haematology; University Hospital Gent; Gent Belgium
| | | | - T. Devos
- Department of Haematology; University Hospitals; Leuven Belgium
| | | | - F. Hillen
- Laboratory for Molecular Diagnostics; Jessa Hospital; Hasselt Belgium
| | - K. Jacobs
- Clinical Laboratory; AZ Sint-Lucas; Gent Belgium
| | - F. Lambert
- Laboratory for Molecular Diagnostics; Haemato-Oncology Unit; University Hospital Liege; Liege Belgium
| | - H. Louagie
- Clinical Laboratory; AZ Sint-Lucas; Gent Belgium
| | - M.-B. Maes
- Laboratory of Haematology; University Hospital of Antwerp; Antwerp Belgium
| | - P. Meeus
- Laboratory for Molecular Diagnostics; OLV Ziekenhuis Aalst; Aalst Belgium
| | - E. Moreau
- Laboratory for Molecular Diagnostics; AZ Delta; Roeselare Belgium
| | - F. Nollet
- Department of Laboratory Medicine; AZ Sint-Jan Brugge-Oostende AV; Brugge Belgium
| | | | - P. Saussoy
- Laboratoire de biologie moléculaire; Cliniques Universitaires Saint-Luc; Bruxelles Belgium
| | - P. Van Lint
- Department of Molecular Diagnostics; GZA St-Augustinus; Wilrijk Belgium
| | - J.-L. Vaerman
- Laboratoire de biologie moléculaire; Cliniques Universitaires Saint-Luc; Bruxelles Belgium
| | - F. Vaeyens
- Laboratory for Molecular Diagnostics; OLV Ziekenhuis Aalst; Aalst Belgium
| | - K. Vandepoele
- Laboratory for Molecular Diagnostics - Haematology; University Hospital Gent; Gent Belgium
| | - P. Vannuffel
- Institut de Pathologie et de Génétique; Gosselies Belgium
| | - K. Ver Elst
- Department of Molecular Diagnostics; GZA St-Augustinus; Wilrijk Belgium
| | - K. Vermeulen
- Laboratory of Haematology; University Hospital of Antwerp; Antwerp Belgium
| | - R. Bruyndonckx
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT); University of Hasselt; Diepenbeek Belgium
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Bruyndonckx R, Aerts M, Hens N. Simulation-based evaluation of the performance of the F test in a linear multilevel model setting with sparseness at the level of the primary unit. Biom J 2016; 58:1054-70. [PMID: 27218667 DOI: 10.1002/bimj.201400195] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2014] [Revised: 11/17/2015] [Accepted: 11/21/2015] [Indexed: 10/21/2022]
Abstract
In a linear multilevel model, significance of all fixed effects can be determined using F tests under maximum likelihood (ML) or restricted maximum likelihood (REML). In this paper, we demonstrate that in the presence of primary unit sparseness, the performance of the F test under both REML and ML is rather poor. Using simulations based on the structure of a data example on ceftriaxone consumption in hospitalized children, we studied variability, type I error rate and power in scenarios with a varying number of secondary units within the primary units. In general, the variability in the estimates for the effect of the primary unit decreased as the number of secondary units increased. In the presence of singletons (i.e., only one secondary unit within a primary unit), REML consistently outperformed ML, although even under REML the performance of the F test was found inadequate. When modeling the primary unit as a random effect, the power was lower while the type I error rate was unstable. The options of dropping, regrouping, or splitting the singletons could solve either the problem of a high type I error rate or a low power, while worsening the other. The permutation test appeared to be a valid alternative as it outperformed the F test, especially under REML. We conclude that in the presence of singletons, one should be careful in using the F test to determine the significance of the fixed effects, and propose the permutation test (under REML) as an alternative.
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Affiliation(s)
- Robin Bruyndonckx
- Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-BIOSTAT), Hasselt University, Martelarenlaan 42, Hasselt, Belgium.
| | - Marc Aerts
- Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-BIOSTAT), Hasselt University, Martelarenlaan 42, Hasselt, Belgium
| | - Niel Hens
- Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-BIOSTAT), Hasselt University, Martelarenlaan 42, Hasselt, Belgium.,Centre for Health Economic Research and Modelling of Infectious Diseases (CHERMID), Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Universiteitsplein 1, Wilrijk, Belgium
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Lambert ML, Bruyndonckx R, Goossens H, Hens N, Aerts M, Catry B, Neely F, Vogelaers D, Hammami N. The Belgian policy of funding antimicrobial stewardship in hospitals and trends of selected quality indicators for antimicrobial use, 1999-2010: a longitudinal study. BMJ Open 2015; 5:e006916. [PMID: 25681314 PMCID: PMC4330329 DOI: 10.1136/bmjopen-2014-006916] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2014] [Revised: 01/16/2015] [Accepted: 01/19/2015] [Indexed: 01/21/2023] Open
Abstract
OBJECTIVES In order to improve antimicrobial (AM) use, a policy of providing technical and financial support to AM management teams (AMTs) was rolled out in all Belgian hospitals between 2002 and 2008. We aimed to analyse the association of this policy with AM use for the two indications accounting for the largest number of patients receiving AM: prophylaxis for major lower limb orthopaedic surgery and pneumonia. DESIGN, SETTING, PARTICIPANTS We used patient-level data routinely collected in all Belgian acute care hospitals between 1999 and 2010. We modelled trends for selected quality indicators (QIs) using the year of AMT implementation in each hospital as the main 'change point', with fine-tuned case-mix adjustment. Of all admissions for lower limb orthopaedic surgery, and pneumonia between 1999 and 2010, 90% (325 094) and 95% (327 635), respectively, were found eligible for analyses. OUTCOMES The surgery QI was defined as: cefazolin, dose in the expected range, and no use of other AM. For pneumonia, QIs were: ratio of oral/parenteral defined daily doses (DDD, O/P QI), and mean number of DDD minus penicillin, per 100 days of hospitalisation (DDD QI). RESULTS Between 1999 and 2010, the surgery QI improved from 59% to 71%, the O/P QI from 0.72 to 0.97, and the DDD QI from 96 to 64. Heterogeneity between hospitals was high. Overall, no association was found with the year of implementation of the AMT. CONCLUSIONS Improvements have been observed but could not be related at the national level to the policy under study. However, these results cannot be extrapolated to other QIs for AM use in hospitals. Our findings do not question the need for AMT, nor the need for continuation of AMT funding. Several recommendations can be made in order to make the best of Belgium's unique political and financial commitments in that field.
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Affiliation(s)
- Marie-Laurence Lambert
- Healthcare-Associated Infections & Antimicrobial Resistance, Public Health and Surveillance Department, Scientific Institute of Public Health, Brussels, Belgium
| | - Robin Bruyndonckx
- Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-BIOSTAT), University of Hasselt, Diepenbeek, Belgium
| | - Herman Goossens
- Microbiology Department, University Hospital, Antwerp, Belgium
| | - Niel Hens
- Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-BIOSTAT), University of Hasselt, Diepenbeek, Belgium
- Centre for Health Economic Research and Modelling Infectious Diseases (CHERMID), Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Marc Aerts
- Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-BIOSTAT), University of Hasselt, Diepenbeek, Belgium
| | - Boudewijn Catry
- Healthcare-Associated Infections & Antimicrobial Resistance, Public Health and Surveillance Department, Scientific Institute of Public Health, Brussels, Belgium
| | - Fiona Neely
- Healthcare-Associated Infections & Antimicrobial Resistance, Public Health and Surveillance Department, Scientific Institute of Public Health, Brussels, Belgium
| | - Dirk Vogelaers
- Internal Medicine Department, University Hospital, Ghent, Belgium
| | - Naima Hammami
- Healthcare-Associated Infections & Antimicrobial Resistance, Public Health and Surveillance Department, Scientific Institute of Public Health, Brussels, Belgium
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Bruyndonckx R, Hens N, Aerts M, Goossens H, Cortiñas Abrahantes J, Coenen S. Exploring the association between resistance and outpatient antibiotic use expressed as DDDs or packages. J Antimicrob Chemother 2015; 70:1241-4. [PMID: 25585511 DOI: 10.1093/jac/dku525] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
OBJECTIVES The objective of this study was to explore the association between resistance and outpatient antibiotic use, expressed as either DDDs per 1000 inhabitants per day (DID) or packages per 1000 inhabitants per day (PID). METHODS IMS Health data on outpatient penicillin and cephalosporin (β-lactam) and tetracycline, macrolide, lincosamide and streptogramin (TMLS) use, aggregated at the level of the active substance (WHO version 2011) expressed as DID and PID (2000-07) were linked to European Antimicrobial Resistance Surveillance System (EARSS) data on proportions of penicillin-non-susceptible Streptococcus pneumoniae (PNSP) and erythromycin-non-susceptible S. pneumoniae (ENSP) (2000-09). Combined data for 27 European countries were analysed with a generalized linear mixed model. Model fit for use in DID, PID or both and 0, 1 or 2 year time lags between use and resistance was assessed and predictions of resistance were made for decreasing use expressed as DID, PID or both. RESULTS When exploring the association between β-lactam use and PNSP, the best model fit was obtained for use in PID without time lag. For the association between TMLS use and ENSP, the best model fit was obtained for use in both PID and DID with a 1 year time lag. PNSP and ENSP are predicted to decrease when use decreases in PID, but not when use decreases in DID. CONCLUSIONS Associations between outpatient antibiotic use and resistance and predictions of resistance were inconsistent whether expressing antibiotic use as DID or PID. We recommend that data on antibiotic use be expressed as PID and that time lags between use and resistance be considered when exploring these associations.
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Affiliation(s)
- Robin Bruyndonckx
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Hasselt University, Hasselt, Belgium
| | - Niel Hens
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Hasselt University, Hasselt, Belgium Centre for Health Economic Research and Modelling Infectious Diseases (CHERMID), Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Marc Aerts
- Interuniversity Institute for Biostatistics and statistical Bioinformatics (I-BIOSTAT), Hasselt University, Hasselt, Belgium
| | - Herman Goossens
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | | | - Samuel Coenen
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium Centre for General Practice, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
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Coenen S, Bruyndonckx R, Hens N, Aerts M, Goossens H. Comment on: Measurement units for antibiotic consumption in outpatients. J Antimicrob Chemother 2014; 69:3445-6. [DOI: 10.1093/jac/dku292] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Bruyndonckx R, Hens N, Aerts M, Goossens H, Molenberghs G, Coenen S. Measuring trends of outpatient antibiotic use in Europe: jointly modelling longitudinal data in defined daily doses and packages. J Antimicrob Chemother 2014; 69:1981-6. [PMID: 24623832 DOI: 10.1093/jac/dku063] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVES To complement analyses of the linear trend and seasonal fluctuation of European outpatient antibiotic use expressed in defined daily doses (DDD) by analyses of data in packages, to assess the agreement between both measures and to study changes in the number of DDD per package over time. METHODS Data on outpatient antibiotic use, aggregated at the level of the active substance (WHO version 2011) were collected from 2000 to 2007 for 31 countries and expressed in DDD and packages per 1000 inhabitants per day (DID and PID, respectively). Data expressed in DID and PID were analysed separately using non-linear mixed models while the agreement between these measurements was analysed through a joint non-linear mixed model. The change in DDD per package over time was studied with a linear mixed model. RESULTS Total outpatient antibiotic and penicillin use in Europe and their seasonal fluctuation significantly increased in DID, but not in PID. The use of combinations of penicillins significantly increased in DID and in PID. Broad-spectrum penicillin use did not increase significantly in DID and decreased significantly in PID. For all but one subgroup, country-specific deviations moved in the same direction whether measured in DID or PID. The correlations are not perfect. The DDD per package increased significantly over time for all but one subgroup. CONCLUSIONS Outpatient antibiotic use in Europe shows contrasting trends, depending on whether DID or PID is used as the measure. The increase of the DDD per package corroborates the recommendation to adopt PID to monitor outpatient antibiotic use in Europe.
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Affiliation(s)
- Robin Bruyndonckx
- Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-BIOSTAT), University of Hasselt, Diepenbeek, Belgium
| | - Niel Hens
- Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-BIOSTAT), University of Hasselt, Diepenbeek, Belgium Centre for Health Economic Research and Modelling Infectious Diseases (CHERMID), Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Marc Aerts
- Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-BIOSTAT), University of Hasselt, Diepenbeek, Belgium
| | - Herman Goossens
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
| | - Geert Molenberghs
- Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-BIOSTAT), University of Hasselt, Diepenbeek, Belgium Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-BIOSTAT), Catholic University of Leuven, Leuven, Belgium
| | - Samuel Coenen
- Laboratory of Medical Microbiology, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium Centre for General Practice, Vaccine & Infectious Disease Institute (VAXINFECTIO), University of Antwerp, Antwerp, Belgium
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