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Dive into the research topics where Sophie Gubbels is active.

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Featured researches published by Sophie Gubbels.


The Lancet Respiratory Medicine | 2014

Effectiveness of neuraminidase inhibitors in reducing mortality in patients admitted to hospital with influenza A H1N1pdm09 virus infection: a meta-analysis of individual participant data

Stella G. Muthuri; Sudhir Venkatesan; Puja R. Myles; Jo Leonardi-Bee; Tarig Saleh Al Khuwaitir; Adbullah Al Mamun; Ashish P. Anovadiya; Eduardo Azziz-Baumgartner; Clarisa Báez; Matteo Bassetti; Bojana Beovic; Barbara Bertisch; Isabelle Bonmarin; Robert Booy; Víctor Hugo Borja-Aburto; Heinz Burgmann; Bin Cao; Jordi Carratalà; Justin T. Denholm; Samuel R. Dominguez; Péricles Almeida Delfino Duarte; Gal Dubnov-Raz; Marcela Echavarria; Sergio Fanella; Zhancheng Gao; Patrick Gérardin; Maddalena Giannella; Sophie Gubbels; Jethro Herberg; Anjarath L. Higuera Iglesias

BACKGROUND Neuraminidase inhibitors were widely used during the 2009-10 influenza A H1N1 pandemic, but evidence for their effectiveness in reducing mortality is uncertain. We did a meta-analysis of individual participant data to investigate the association between use of neuraminidase inhibitors and mortality in patients admitted to hospital with pandemic influenza A H1N1pdm09 virus infection. METHODS We assembled data for patients (all ages) admitted to hospital worldwide with laboratory confirmed or clinically diagnosed pandemic influenza A H1N1pdm09 virus infection. We identified potential data contributors from an earlier systematic review of reported studies addressing the same research question. In our systematic review, eligible studies were done between March 1, 2009 (Mexico), or April 1, 2009 (rest of the world), until the WHO declaration of the end of the pandemic (Aug 10, 2010); however, we continued to receive data up to March 14, 2011, from ongoing studies. We did a meta-analysis of individual participant data to assess the association between neuraminidase inhibitor treatment and mortality (primary outcome), adjusting for both treatment propensity and potential confounders, using generalised linear mixed modelling. We assessed the association with time to treatment using time-dependent Cox regression shared frailty modelling. FINDINGS We included data for 29,234 patients from 78 studies of patients admitted to hospital between Jan 2, 2009, and March 14, 2011. Compared with no treatment, neuraminidase inhibitor treatment (irrespective of timing) was associated with a reduction in mortality risk (adjusted odds ratio [OR] 0·81; 95% CI 0·70-0·93; p=0·0024). Compared with later treatment, early treatment (within 2 days of symptom onset) was associated with a reduction in mortality risk (adjusted OR 0·48; 95% CI 0·41-0·56; p<0·0001). Early treatment versus no treatment was also associated with a reduction in mortality (adjusted OR 0·50; 95% CI 0·37-0·67; p<0·0001). These associations with reduced mortality risk were less pronounced and not significant in children. There was an increase in the mortality hazard rate with each days delay in initiation of treatment up to day 5 as compared with treatment initiated within 2 days of symptom onset (adjusted hazard ratio [HR 1·23] [95% CI 1·18-1·28]; p<0·0001 for the increasing HR with each days delay). INTERPRETATION We advocate early instigation of neuraminidase inhibitor treatment in adults admitted to hospital with suspected or proven influenza infection. FUNDING F Hoffmann-La Roche.


Scandinavian Journal of Infectious Diseases | 2011

Failure of combination oral oseltamivir and inhaled zanamivir antiviral treatment in ventilator- and ECMO-treated critically ill patients with pandemic influenza A (H1N1)v

Eskild Petersen; Dorte B. Keld; Svend Ellermann-Eriksen; Sophie Gubbels; Susanne Ilkjær; Søren Jensen-Fangel; Christian Lindskov

Abstract Objective: The objective of this study was to describe the clinical course of severe and complicated pandemic (H1N1)v infection treated with oral oseltamivir and inhaled zanamivir in a series of intensive care patients. Methods: We investigated a case series of patients with respiratory failure and a positive (H1N1)v real-time reverse transcriptase polymerase chain reaction (rRT-PCR). Treatment consisted of oseltamivir tablets 75 mg × 4 daily in a nasogastric tube plus zanamivir intravenous (i.v.) solution 25 mg × 4 daily as inhalation. Ventilator inspiratory plateau airway pressure in the ventilator was kept below 30 cmH2O, PaO2 above 8 kPa and pH above 7.30. If this could not be achieved, inhalational nitric oxide (NO) was added or extracorporeal membrane oxygenation (ECMO) was initiated. Results: Twenty-one patients were admitted, with a median age of 50 y (range 6–69 y). Five patients (23.8%) died in the intensive care unit (ICU) and 1 patient died 2 weeks after ICU discharge. Nine patients received ECMO treatment, of whom 3 died during ECMO (33.3%; 3/9) and 1 at 2 weeks after. The mortality in patients not receiving ECMO treatment was 16.6% (2/12). Sixteen patients (76%) were influenza PCR-positive on day 7 after the start of antiviral treatment. Irreversible presumed lung fibrosis complicated with pneumothorax was common. A high Murray score at admission was significantly associated with a fatal outcome. Conclusions: The mortality in these patients was high despite combined antiviral treatment with oseltamivir and zanamivir. Patients shed virus for a long time despite intensive therapy. Optimal management of patients with bilateral pneumonia and respiratory failure caused by (H1N1)v still needs to be determined.


Vaccine | 2011

Burden of illness of the 2009 pandemic of influenza A (H1N1) in Denmark.

Kåre Mølbak; Katarina Widgren; Klaus Jensen; Steen Ethelberg; Peter Andersen; A H Christiansen; Hanne-Dorthe Emborg; Sophie Gubbels; Katja Majlund Harder; Tyra Grove Krause; A Mazick; Lars Peter Nielsen; Jens Cosedis Nielsen; Palle Valentiner-Branth; S Glismann

We analysed Danish surveillance data to estimate influenza-associated morbidity and mortality in 2009. To obtain population-based estimates of the clinical attack rate, we combined data from two different primary health care surveillance systems, national numbers of the proportion of positive influenza tests, and data from a web-based interview on health care seeking behaviour during the pandemic. From a national registry, we obtained data on hospital admissions (ICD-10 codes) for influenza related conditions. Admission to intensive care was monitored by a dedicated surveillance scheme. Mortality was estimated among laboratory confirmed cases but was also expressed as excess all-cause mortality attributed to influenza-like illness in a multivariable time series analysis. In total, we estimated that 274,000 individuals (5%) in Denmark experienced clinical illness. The highest attack rate was found in children 5-14 years (15%). Compared with the expected number of hospital admissions, there was an 80% increase in number of influenza related hospital admissions in this age group. The numbers of patients admitted to intensive care approached 5% of the national capacity. Estimates of the number of deaths ranged from 30 to 312 (0.5-5.7 per 100,000 population) depending on the methodology. In conclusion, the pandemic was characterised by high morbidity and unprecedented high rates of admissions to hospitals for a range of influenza-related conditions affecting mainly children. Nonetheless, the burden of illness was lower than assumed in planning scenarios, and the present pandemic compares favourable with the 20th century pandemics.


Epidemiology and Infection | 2013

A long-lasting outbreak of Salmonella Typhimurium U323 associated with several pork products, Denmark, 2010

Katrin Gaardbo Kuhn; Gitte Sørensen; Mia Torpdahl; M. K. Kjeldsen; Tenna Jensen; Sophie Gubbels; G. O. Bjerager; Anne Wingstrand; Lone Jannok Porsbo; Steen Ethelberg

This paper shows that control of foodborne disease outbreaks may be challenging even after establishing the source of infection. An outbreak of Salmonella Typhimurium U323 infections occurred in Denmark from March to September 2010, involving 172 cases. Before the detection of human cases, several positive isolates of the outbreak strain had been found in a particular pig slaughterhouse and thus early traceback, investigation and control measures were possible. Several batches of pork and pork products were recalled and the slaughterhouse was closed twice for disinfection. No single common food item was identified as the outbreak source, but repeated isolation of the outbreak strain from the slaughterhouse environment and in pork and products as well as patient interviews strongly suggested different pork products as the source of infection. Furthermore, a matched case-control study identified a specific ready-to-eat spreadable pork sausage (teewurst) as the source of a sub-outbreak (matched odds ratio 17, 95% confidence interval 2·1-130).


Influenza and Other Respiratory Viruses | 2016

Impact of neuraminidase inhibitors on influenza A(H1N1)pdm09‐related pneumonia: an individual participant data meta‐analysis

Stella G. Muthuri; Sudhir Venkatesan; Puja R. Myles; Jo Leonardi-Bee; Wei Shen Lim; Abdullah Al Mamun; Ashish P. Anovadiya; Wildo Navegantes de Araújo; Eduardo Azziz-Baumgartner; Clarisa Báez; Carlos Bantar; Mazen M. Barhoush; Matteo Bassetti; Bojana Beovic; Roland Bingisser; Isabelle Bonmarin; Víctor Hugo Borja-Aburto; Bin Cao; Jordi Carratalà; María R. Cuezzo; Justin T. Denholm; Samuel R. Dominguez; Péricles Almeida Delfino Duarte; Gal Dubnov-Raz; Marcela Echavarria; Sergio Fanella; James Fraser; Zhancheng Gao; Patrick Gérardin; Sophie Gubbels

The impact of neuraminidase inhibitors (NAIs) on influenza‐related pneumonia (IRP) is not established. Our objective was to investigate the association between NAI treatment and IRP incidence and outcomes in patients hospitalised with A(H1N1)pdm09 virus infection.


Clinical Microbiology and Infection | 2015

Utilization of blood cultures in Danish hospitals: a population-based descriptive analysis

Sophie Gubbels; Jens Cosedis Nielsen; Marianne Voldstedlund; Brian Kristensen; Henrik Carl Schønheyder; Christina M. J. E. Vandenbroucke-Grauls; M Arpi; M K Björnsdóttir; J. Dahl Knudsen; Ram Benny Dessau; T Gorm Jensen; Poul Kjældgaard; Lars Erik Lemming; Jens Kjølseth Møller; D Schrøder Hansen; Kåre Mølbak

This national population-based study was conducted as part of the development of a national automated surveillance system for hospital-acquired bacteraemia and ascertains the utilization of blood cultures (BCs). A primary objective was to understand how local differences may affect interpretation of nationwide surveillance for bacteraemia. From the Danish Microbiology Database, we retrieved all BCs taken between 2010 and 2013 and linked these to admission data from the National Patient Registry. In total, 4 587 295 admissions were registered, and in 11%, at least one BC was taken. Almost 50% of BCs were taken at admission. The chance of having a BC taken declined over the next days but increased after 4 days of admission. Data linkage identified 876 290 days on which at least one BC was taken; 6.4% yielded positive results. Ten species, Escherichia coli, Staphylococcus aureus, Klebsiella pneumoniae, Streptococcus pneumoniae, Enterococcus faecium, Enterococcus faecalis, Pseudomonas aeruginosa, Candida albicans, Enterobacter cloacae and Klebsiella oxytoca, accounted for 74.7% of agents for this purpose classified as pathogenic. An increase in BCs and positive BCs was observed over time, particularly among older patients. BCs showed a seasonal pattern overall and for S. pneumoniae particularly. A predominance of male patients was seen for bacteraemias due to S. aureus, E. faecium and K. pneumoniae. Minor differences in BCs and positive BCs between departments of clinical microbiology underpin the rationale of a future automated surveillance for bacteraemia. The study also provides important knowledge for interpretation of surveillance of invasive infections more generally.


Epidemiology and Infection | 2013

Burden and characteristics of influenza A and B in Danish intensive care units during the 2009/10 and 2010/11 influenza seasons.

Sophie Gubbels; Tyra Grove Krause; K. Bragstad; Anders Perner; Kåre Mølbak; S Glismann

Influenza surveillance in Danish intensive care units (ICUs) was performed during the 2009/10 and 2010/11 influenza seasons to monitor the burden on ICUs. All 44 Danish ICUs reported aggregate data for incidence and point prevalence, and case-based demographical and clinical parameters. Additional data on microbiological testing, vaccination and death were obtained from national registers. Ninety-six patients with influenza A(H1N1)pdm09 were recorded in 2009/10; 106 with influenza A and 42 with influenza B in 2010/11. The mean age of influenza A patients was higher in 2010/11 than in 2009/10, 53 vs. 44 years (P = 0·004). No differences in other demographic and clinical parameters were detected between influenza A and B patients. In conclusion, the number of patients with severe influenza was higher in Denmark during the 2010/11 than the 2009/10 season with a shift towards older age groups in influenza A patients. Influenza B caused severe illness and needs consideration in clinical and public health policy.


Journal of Hospital Infection | 2016

Automated surveillance system for hospital-acquired urinary tract infections in Denmark.

O. Condell; Sophie Gubbels; Jens Cosedis Nielsen; L. Espenhain; N. Frimodt-Møller; Jørgen Engberg; Jens Kjølseth Møller; Svend Ellermann-Eriksen; Henrik Carl Schønheyder; Marianne Voldstedlund; Kåre Mølbak; Brian Kristensen

BACKGROUND The Danish Hospital-Acquired Infections Database (HAIBA) is an automated surveillance system using hospital administrative, microbiological, and antibiotic medication data. AIM To define and evaluate the case definition for hospital-acquired urinary tract infection (HA-UTI) and to describe surveillance data from 2010 to 2014. METHODS The HA-UTI algorithm defined a laboratory-diagnosed UTI as a urine culture positive for no more than two micro-organisms with at least one at ≥10(4)cfu/mL, and a probable UTI as a negative urine culture and a relevant diagnosis code or antibiotic treatment. UTI was considered hospital-acquired if a urine sample was collected ≥48h after admission and <48h post discharge. Incidence of HA-UTI was calculated per 10,000 risk-days. For validation, prevalence was calculated for each day and compared to point prevalence survey (PPS) data. FINDINGS HAIBA detected a national incidence rate of 42.2 laboratory-diagnosed HA-UTI per 10,000 risk-days with an increasing trend. Compared to PPS the laboratory-diagnosed HA-UTI algorithm had a sensitivity of 50.0% (26/52) and a specificity of 94.2% (1842/1955). There were several reasons for discrepancies between HAIBA and PPS, including laboratory results being unavailable at the time of the survey, the results considered clinically irrelevant by the surveyor due to an indwelling urinary catheter or lack of clinical signs of infection, and UTIs being considered HA-UTI in PPS even though the first sample was taken within 48h of admission. CONCLUSION The HAIBA algorithm was found to give valid and valuable information and has, among others, the advantages of covering the whole population and allowing continuous standardized monitoring of HA-UTI.


International Journal of Medical Informatics | 2016

The development and use of a new methodology to reconstruct courses of admission and ambulatory care based on the Danish National Patient Registry.

Sophie Gubbels; Kenn Schultz Nielsen; Jakob Sandegaard; Kåre Mølbak; Jens Cosedis Nielsen

INTRODUCTION The Danish National Patient Registry (DNPR) contains clinical and administrative data on all patients treated in Danish hospitals. The data model used for reporting is based on standardized coding of contacts rather than courses of admissions and ambulatory care. METHODS To reconstruct a coherent picture of courses of admission and ambulatory care, we designed an algorithm with 28 rules that manages transfers between departments, between hospitals and inconsistencies in the data, e.g., missing time stamps, overlaps and gaps. We used data from patients admitted between 1 January 2010 and 31 December 2014. RESULTS After application of the DNPR algorithm, we estimated an average of 1,149,616 courses of admission per year or 205 hospitalizations per 1000 inhabitants per year. The median length of stay decreased from 1.58days in 2010 to 1.29days in 2014. The number of transfers between departments within a hospital increased from 111,576 to 176,134 while the number of transfers between hospitals decreased from 68,522 to 61,203. CONCLUSIONS We standardized a 28-rule algorithm to relate registrations in the DNPR to each other in a coherent way. With the algorithm, we estimated 1.15 million courses of admissions per year, which probably reflects a more accurate estimate than the estimates that have been published previously. Courses of admission became shorter between 2010 and 2014 and outpatient contacts longer. These figures are compatible with a cost-conscious secondary healthcare system undertaking specialized treatment within a hospital and limiting referral to advanced services at other hospitals.


204 | 2015

Impact of neuraminidase inhibitors on influenza A(H1N1)pdm09-related pneumonia: an IPD meta-analysis.

Stella G. Muthuri; Sudhir Venkatesan; Puja R. Myles; Jo Leonardi-Bee; Wei Shen Lim; Adbullah Al Mamun; Ashish P. Anovadiya; Wildo Navegantes de Araújo; Eduardo Azziz-Baumgartner; Clarisa Báez; Carlos Bantar; Mazen M. Barhoush; Matteo Bassetti; Bojana Beovic; Roland Bingisser; Isabelle Bonmarin; Víctor Hugo Borja-Aburto; Bin Cao; Jordi Carratalà; Cuezzo; Justin T. Denholm; Dominguez; Péricles Almeida Delfino Duarte; Gal Dubnov-Raz; Marcela Echavarria; Sergio Fanella; John F. Fraser; Zhancheng Gao; Patrick Gérardin; Sophie Gubbels

The impact of neuraminidase inhibitors (NAIs) on influenza‐related pneumonia (IRP) is not established. Our objective was to investigate the association between NAI treatment and IRP incidence and outcomes in patients hospitalised with A(H1N1)pdm09 virus infection.

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Jens Kjølseth Møller

University of Southern Denmark

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Puja R. Myles

University of Nottingham

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