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Article ; Online: Hypervirulent Klebsiella pneumoniae ST23 producing OXA-48 in Switzerland.

Blanc, Dominique S / Poirel, Laurent / Van Singer, Mathias / Greub, Gilbert / Nordmann, Patrice

International journal of antimicrobial agents

2021 Volume 58, Issue 6, Page(s) 106457

Language	English
Publishing date	2021-10-24
Publishing country	Netherlands
Document type	Letter
ZDB-ID	1093977-5
ISSN	1872-7913 ; 0924-8579
ISSN (online)	1872-7913
ISSN	0924-8579
DOI	10.1016/j.ijantimicag.2021.106457
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Article: Factors Influencing the Implementation of Antimicrobial Stewardship in Primary Care: A Narrative Review.

Suttels, Véronique / Van Singer, Mathias / Clack, Lauren Catherine / Plüss-Suard, Catherine / Niquille, Anne / Mueller, Yolanda / Boillat Blanco, Noémie

Antibiotics (Basel, Switzerland)

2022 Volume 12, Issue 1

Abstract: Antimicrobial resistance (AMR) is directly driven by inappropriate use of antibiotics. Although the majority of antibiotics (an estimated 80%) are consumed in primary care settings, antimicrobial stewardship (AMS) activities in primary care remain ... ...

Abstract	Antimicrobial resistance (AMR) is directly driven by inappropriate use of antibiotics. Although the majority of antibiotics (an estimated 80%) are consumed in primary care settings, antimicrobial stewardship (AMS) activities in primary care remain underdeveloped and factors influencing their implementation are poorly understood. This can result in promising stewardship activities having little-to-no real-world impact. With this narrative review, we aim to identify and summarize peer-reviewed literature reporting on (1) the nature and impact of AMS interventions in primary care and (2) the individual and contextual factors influencing their implementation. Reported activities included AMS at different contextual levels (individual, collective and policy). AMS activities being often combined, it is difficult to evaluate them as stand-alone interventions. While some important individual and contextual factors were reported (difficulty to reach physicians leading to a low uptake of interventions, tight workflow of physicians requiring implementation of flexible and brief interventions and AMS as a unique opportunity to strengthen physician-patients relationship), this review identified a paucity of information in the literature about the factors that support or hinder implementation of AMS in primary care settings. In conclusion, identifying multilevel barriers and facilitators for AMS uptake is an essential step to explore before implementing primary care AMS interventions.
Language	English
Publishing date	2022-12-24
Publishing country	Switzerland
Document type	Journal Article ; Review
ZDB-ID	2681345-2
ISSN	2079-6382
ISSN	2079-6382
DOI	10.3390/antibiotics12010030
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Article ; Online: Pancreatic stone protein for early mortality prediction in COVID-19 patients.

Van Singer, Mathias / Brahier, Thomas / Brochu Vez, Marie-Josée / Gerhard Donnet, Hélène / Hugli, Olivier / Boillat-Blanco, Noémie

Critical care (London, England)

2021 Volume 25, Issue 1, Page(s) 267

MeSH term(s)	Aged ; Aged, 80 and over ; Biomarkers/blood ; C-Reactive Protein ; COVID-19/diagnosis ; COVID-19/mortality ; Emergency Service, Hospital ; Female ; Hospitals, Teaching ; Humans ; Lithostathine/blood ; Male ; Middle Aged ; Prospective Studies ; Switzerland
Chemical Substances	Biomarkers ; Lithostathine ; REG1A protein, human ; C-Reactive Protein (9007-41-4)
Language	English
Publishing date	2021-07-29
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2041406-7
ISSN	1466-609X ; 1364-8535
ISSN (online)	1466-609X
ISSN	1364-8535
DOI	10.1186/s13054-021-03704-4
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Zs.A 5517: Show issues

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Jg. 1995 - 2021: Lesesall (2.OG)
ab Jg. 2022: Lesesaal (EG)

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Article ; Online: Validation of sTREM-1 and IL-6 based algorithms for outcome prediction of COVID-19.

Van Singer, Mathias / Brahier, Thomas / Koch, Jana / Hugli, Pr Olivier / Weckman, Andrea M / Zhong, Kathleen / Kain, Taylor J / Leligdowicz, Aleksandra / Bernasconi, Enos / Ceschi, Alessandro / Parolari, Sara / Vuichard-Gysin, Danielle / Kain, Kevin C / Albrich, Werner C / Boillat-Blanco, Noémie

BMC infectious diseases

2023 Volume 23, Issue 1, Page(s) 630

Abstract: Background: A prospective observational cohort study of COVID-19 patients in a single Emergency Department (ED) showed that sTREM-1- and IL-6-based algorithms were highly predictive of adverse outcome (Van Singer et al. J Allergy Clin Immunol 2021). We ... ...

Abstract	Background: A prospective observational cohort study of COVID-19 patients in a single Emergency Department (ED) showed that sTREM-1- and IL-6-based algorithms were highly predictive of adverse outcome (Van Singer et al. J Allergy Clin Immunol 2021). We aim to validate the performance of these algorithms at ED presentation. Methods: This multicentric prospective observational study of PCR-confirmed COVID-19 adult patients was conducted in the ED of three Swiss hospitals. Data of the three centers were retrospectively completed and merged. We determined the predictive accuracy of the sTREM-1-based algorithm for 30-day intubation/mortality. We also determined the performance of the IL-6-based algorithm using data from one center for 30-day oxygen requirement. Results: 373 patients were included in the validation cohort, 139 (37%) in Lausanne, 93 (25%) in St.Gallen and 141 (38%) in EOC. Overall, 18% (93/373) patients died or were intubated by day 30. In Lausanne, 66% (92/139) patients required oxygen by day 30. The predictive accuracy of sTREM-1 and IL-6 were similar compared to the derivation cohort. The sTREM-1-based algorithm confirmed excellent sensitivity (90% versus 100% in the derivation cohort) and negative predictive value (94% versus 100%) for 30-day intubation/mortality. The IL-6-based algorithm performance was acceptable with a sensitivity of 85% versus 98% in the derivation cohort and a negative predictive value of 60% versus 92%. Conclusion: The sTREM-1 algorithm demonstrated good reproducibility. A prospective randomized controlled trial, comparing outcomes with and without the algorithm, is necessary to assess its safety and impact on hospital and ICU admission rates. The IL-6 algorithm showed acceptable validity in a single center and need additional validation before widespread implementation.
MeSH term(s)	Adult ; Humans ; Algorithms ; COVID-19/diagnosis ; Interleukin-6 ; Prospective Studies ; Reproducibility of Results ; Retrospective Studies
Chemical Substances	Interleukin-6
Language	English
Publishing date	2023-09-26
Publishing country	England
Document type	Journal Article ; Multicenter Study ; Observational Study
ZDB-ID	2041550-3
ISSN	1471-2334 ; 1471-2334
ISSN (online)	1471-2334
ISSN	1471-2334
DOI	10.1186/s12879-023-08630-0
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Article: Quality of Smartphone Apps Related to Panic Disorder.

Van Singer, Mathias / Chatton, Anne / Khazaal, Yasser

Frontiers in psychiatry

2015 Volume 6, Page(s) 96

Abstract: Quality of smartphone apps related to panic: smartphone apps have a growing role in health care. This study assessed the quality of English-language apps for panic disorder (PD) and compared paid and free apps. Keywords related to PD were entered into ... ...

Abstract	Quality of smartphone apps related to panic: smartphone apps have a growing role in health care. This study assessed the quality of English-language apps for panic disorder (PD) and compared paid and free apps. Keywords related to PD were entered into the Google Play Store search engine. Apps were assessed using the following quality indicators: accountability, interactivity, self-help score (the potential of smartphone apps to help users in daily life), and evidence-based content quality. The Brief DISCERN score and the criteria of the "Health on the Net" label were also used as content quality indicators as well as the number of downloads. Of 247 apps identified, 52 met all inclusion criteria. The content quality and self-help scores of these PD apps were poor. None of the assessed indicators were associated with payment status or number of downloads. Multiple linear regressions showed that the Brief DISCERN score significantly predicted the content quality and self-help scores. Poor content quality and self-help scores of PD smartphone apps highlight the gap between their technological potential and the overall quality of available products.
Language	English
Publishing date	2015-07-14
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2564218-2
ISSN	1664-0640
ISSN	1664-0640
DOI	10.3389/fpsyt.2015.00096
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Article ; Online: Quality of Smartphone Apps Related to Alcohol Use Disorder.

Penzenstadler, Louise / Chatton, Anne / Van Singer, Mathias / Khazaal, Yasser

European addiction research

2016 Volume 22, Issue 6, Page(s) 329–338

Abstract: Background: Apps for smartphones are opening an important range of opportunities for improving the care of people with alcohol use disorders (AUDs).: Aims: This study aimed to evaluate the quality of English language apps for AUDs and to compare paid ...

Abstract	Background: Apps for smartphones are opening an important range of opportunities for improving the care of people with alcohol use disorders (AUDs). Aims: This study aimed to evaluate the quality of English language apps for AUDs and to compare paid and free apps. The keywords 'alcohol', 'alcohol addiction', 'alcohol help' and 'stop drinking' were entered into the iTunes Store search engine. Apps were evaluated using a standardized assessment designed to rate the quality of apps in terms of accountability, interactivity, self-help score and evidence-based content. The Brief DISCERN score and the criteria of the 'Health on the Net' label were also used as content quality indicators. Results and conclusions: Of the 137 unique apps identified, 52 met the inclusion criteria. Overall, the content quality and self-help scores of these AUD apps were poor. The main quality indicators were not linked to payment status. Multiple linear regressions showed that the Brief DISCERN score significantly predicted content quality. Poor content quality and self-help scores of AUD smartphone apps underline the gap between their potential promises and the overall quality of available products in stores. The quality indicators used in the present study may be used for further app developments.
MeSH term(s)	Alcohol-Related Disorders/psychology ; Alcohol-Related Disorders/therapy ; Humans ; Mobile Applications/standards ; Mobile Applications/utilization ; Self Care/standards ; Self Care/utilization ; Smartphone/standards ; Smartphone/utilization
Language	English
Publishing date	2016
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	1215786-7
ISSN	1421-9891 ; 1022-6877
ISSN (online)	1421-9891
ISSN	1022-6877
DOI	10.1159/000449097
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Je nach Verfügbarkeit (siehe Angabe bei Bestand)
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Jg. 1995 - 2021: Lesesall (2.OG)
ab Jg. 2022: Lesesaal (EG)

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Article ; Online: COVID-19 risk stratification algorithms based on sTREM-1 and IL-6 in emergency department.

Van Singer, Mathias / Brahier, Thomas / Ngai, Michelle / Wright, Julie / Weckman, Andrea M / Erice, Clara / Meuwly, Jean-Yves / Hugli, Olivier / Kain, Kevin C / Boillat-Blanco, Noémie

The Journal of allergy and clinical immunology

2020 Volume 147, Issue 1, Page(s) 99–106.e4

Abstract: Background: The coronavirus disease 2019 (COVID-19) pandemic has led to surges of patients presenting to emergency departments (EDs) and potentially overwhelming health systems.: Objective: We sought to assess the predictive accuracy of host ... ...

Abstract	Background: The coronavirus disease 2019 (COVID-19) pandemic has led to surges of patients presenting to emergency departments (EDs) and potentially overwhelming health systems. Objective: We sought to assess the predictive accuracy of host biomarkers at clinical presentation to the ED for adverse outcome. Methods: Prospective observational study of PCR-confirmed COVID-19 patients in the ED of a Swiss hospital. Concentrations of inflammatory and endothelial dysfunction biomarkers were determined at clinical presentation. We evaluated the accuracy of clinical signs and these biomarkers in predicting 30-day intubation/mortality, and oxygen requirement by calculating the area under the receiver-operating characteristic curve and by classification and regression tree analysis. Results: Of 76 included patients with COVID-19, 24 were outpatients or hospitalized without oxygen requirement, 35 hospitalized with oxygen requirement, and 17 intubated/died. We found that soluble triggering receptor expressed on myeloid cells had the best prognostic accuracy for 30-day intubation/mortality (area under the receiver-operating characteristic curve, 0.86; 95% CI, 0.77-0.95) and IL-6 measured at presentation to the ED had the best accuracy for 30-day oxygen requirement (area under the receiver-operating characteristic curve, 0.84; 95% CI, 0.74-0.94). An algorithm based on respiratory rate and sTREM-1 predicted 30-day intubation/mortality with 94% sensitivity and 0.1 negative likelihood ratio. An IL-6-based algorithm had 98% sensitivity and 0.04 negative likelihood ratio for 30-day oxygen requirement. Conclusions: sTREM-1 and IL-6 concentrations in COVID-19 in the ED have good predictive accuracy for intubation/mortality and oxygen requirement. sTREM-1- and IL-6-based algorithms are highly sensitive to identify patients with adverse outcome and could serve as early triage tools.
MeSH term(s)	Adult ; Aged ; Aged, 80 and over ; Algorithms ; COVID-19/blood ; Emergency Service, Hospital ; Humans ; Interleukin-6/blood ; Middle Aged ; Prospective Studies ; Risk Assessment ; SARS-CoV-2/metabolism ; Triage ; Triggering Receptor Expressed on Myeloid Cells-1/blood
Chemical Substances	IL6 protein, human ; Interleukin-6 ; TREM1 protein, human ; Triggering Receptor Expressed on Myeloid Cells-1
Keywords	covid19
Language	English
Publishing date	2020-10-09
Publishing country	United States
Document type	Clinical Trial ; Journal Article ; Multicenter Study ; Observational Study
ZDB-ID	121011-7
ISSN	1097-6825 ; 1085-8725 ; 0091-6749
ISSN (online)	1097-6825 ; 1085-8725
ISSN	0091-6749
DOI	10.1016/j.jaci.2020.10.001
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Article ; Online: Post‑COVID‑19 Syndrome in Outpatients: a Cohort Study.

Desgranges, Florian / Tadini, Eliana / Munting, Aline / Regina, Jean / Filippidis, Paraskevas / Viala, Benjamin / Karachalias, Eleftherios / Suttels, Véronique / Haefliger, David / Kampouri, Eleftheria / Van Singer, Mathias / Tschopp, Jonathan / Rochat Stettler, Laurence / Schaad, Siméon / Brahier, Thomas / Hugli, Olivier / Mueller, Yolanda / Gouveia, Alexandre / Opota, Onya /

Carron, Pierre-Nicolas / Guery, Benoît / Papadimitriou-Olivgeris, Matthaios / Boillat-Blanco, Noémie

Journal of general internal medicine

2022 Volume 37, Issue 8, Page(s) 1943–1952

Abstract: Background: After mild COVID-19, some outpatients experience persistent symptoms. However, data are scarce and prospective studies are urgently needed.: Objectives: To characterize the post-COVID-19 syndrome after mild COVID-19 and identify ... ...

Abstract	Background: After mild COVID-19, some outpatients experience persistent symptoms. However, data are scarce and prospective studies are urgently needed. Objectives: To characterize the post-COVID-19 syndrome after mild COVID-19 and identify predictors. Participants: Outpatients with symptoms suggestive of COVID-19 with (1) PCR-confirmed COVID-19 (COVID-positive) or (2) SARS-CoV-2 negative PCR (COVID-negative). Design: Monocentric cohort study with prospective phone interview between more than 3 months to 10 months after initial visit to the emergency department and outpatient clinics. Main measures: Data of the initial visits were extracted from the electronic medical file. Predefined persistent symptoms were assessed through a structured phone interview. Associations between long-term symptoms and PCR results, as well as predictors of persistent symptoms among COVID-positive, were evaluated by multivariate logistic regression adjusted for age, gender, smoking, comorbidities, and timing of the survey. Key results: The study population consisted of 418 COVID-positive and 89 COVID-negative patients, mostly young adults (median age of 41 versus 36 years in COVID-positive and COVID-negative, respectively; p = 0.020) and healthcare workers (67% versus 82%; p = 0.006). Median time between the initial visit and the phone survey was 150 days in COVID-positive and 242 days in COVID-negative patients. Persistent symptoms were reported by 223 (53%) COVID-positive and 33 (37%) COVID-negative patients (p = 0.006) and proportions were stable among the periods of the phone interviews. Overall, 21% COVID-positive and 15% COVID-negative patients (p = 0.182) attended care for this purpose. Four surveyed symptoms were independently associated with COVID-19: fatigue (adjusted odds ratio 2.14, 95% CI 1.04-4.41), smell/taste disorder (26.5, 3.46-202), dyspnea (2.81, 1.10-7.16), and memory impairment (5.71, 1.53-21.3). Among COVID-positive, female gender (1.67, 1.09-2.56) and overweight/obesity (1.67, 1.10-2.56) were predictors of persistent symptoms. Conclusions: More than half of COVID-positive outpatients report persistent symptoms up to 10 months after a mild disease. Only 4 of 14 symptoms were associated with COVID-19 status. The symptoms and predictors of the post-COVID-19 syndrome need further characterization as this condition places a significant burden on society.
MeSH term(s)	Adult ; COVID-19/complications ; COVID-19/epidemiology ; Cohort Studies ; Female ; Humans ; Outpatients ; Prospective Studies ; SARS-CoV-2 ; Young Adult
Language	English
Publishing date	2022-03-22
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	639008-0
ISSN	1525-1497 ; 0884-8734
ISSN (online)	1525-1497
ISSN	0884-8734
DOI	10.1007/s11606-021-07242-1
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Article: Quality of Smartphone Apps Related to Alcohol Use Disorder

Penzenstadler, Louise / Chatton, Anne / Van Singer, Mathias / Khazaal, Yasser

European Addiction Research

2016 Volume 22, Issue 6, Page(s) 329–338

Abstract: Background: Apps for smartphones are opening an important range of opportunities for improving the care of people with alcohol use disorders (AUDs). Aims: This study aimed to evaluate the quality of English language apps for AUDs and to compare paid and ... ...

Institution	Department of Mental Health and Psychiatry, Geneva University Hospitals, and Department of Psychiatry, Geneva University, Geneva, Switzerland
Abstract	Background: Apps for smartphones are opening an important range of opportunities for improving the care of people with alcohol use disorders (AUDs). Aims: This study aimed to evaluate the quality of English language apps for AUDs and to compare paid and free apps. The keywords ‘alcohol', ‘alcohol addiction', ‘alcohol help' and ‘stop drinking' were entered into the iTunes Store search engine. Apps were evaluated using a standardized assessment designed to rate the quality of apps in terms of accountability, interactivity, self-help score and evidence-based content. The Brief DISCERN score and the criteria of the ‘Health on the Net' label were also used as content quality indicators. Results and Conclusions: Of the 137 unique apps identified, 52 met the inclusion criteria. Overall, the content quality and self-help scores of these AUD apps were poor. The main quality indicators were not linked to payment status. Multiple linear regressions showed that the Brief DISCERN score significantly predicted content quality. Poor content quality and self-help scores of AUD smartphone apps underline the gap between their potential promises and the overall quality of available products in stores. The quality indicators used in the present study may be used for further app developments.
Keywords	Internet ; Apps ; Smartphone ; Alcohol ; Alcohol use disorder ; Internet interventions ; Cognitive behavior therapy
Language	English
Publishing date	2016-09-07
Publisher	S. Karger AG
Publishing place	Basel, Switzerland
Document type	Article
Note	Research Report
ZDB-ID	1215786-7
ISSN	1421-9891 ; 1022-6877
ISSN (online)	1421-9891
ISSN	1022-6877
DOI	10.1159/000449097
Database	Karger publisher's database

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Zs.A 4563: Show issues

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ab Jg. 2022: Lesesaal (EG)

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Article: COVID-19 risk stratification algorithms based on sTREM-1 and IL-6 in emergency department

Van Singer, Mathias / Brahier, Thomas / Ngai, Michelle / Wright, Julie / Weckman, Andrea M / Erice, Clara / Meuwly, Jean-Yves / Hugli, Olivier / Kain, Kevin C / Boillat-Blanco, Noémie

J. allergy clin. immunol

Abstract: BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic has led to surges of patients presenting to emergency departments (EDs) and potentially overwhelming health systems. OBJECTIVE: We sought to assess the predictive accuracy of host biomarkers at ...

Abstract	BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic has led to surges of patients presenting to emergency departments (EDs) and potentially overwhelming health systems. OBJECTIVE: We sought to assess the predictive accuracy of host biomarkers at clinical presentation to the ED for adverse outcome. METHODS: Prospective observational study of PCR-confirmed COVID-19 patients in the ED of a Swiss hospital. Concentrations of inflammatory and endothelial dysfunction biomarkers were determined at clinical presentation. We evaluated the accuracy of clinical signs and these biomarkers in predicting 30-day intubation/mortality, and oxygen requirement by calculating the area under the receiver-operating characteristic curve and by classification and regression tree analysis. RESULTS: Of 76 included patients with COVID-19, 24 were outpatients or hospitalized without oxygen requirement, 35 hospitalized with oxygen requirement, and 17 intubated/died. We found that soluble triggering receptor expressed on myeloid cells had the best prognostic accuracy for 30-day intubation/mortality (area under the receiver-operating characteristic curve, 0.86; 95% CI, 0.77-0.95) and IL-6 measured at presentation to the ED had the best accuracy for 30-day oxygen requirement (area under the receiver-operating characteristic curve, 0.84; 95% CI, 0.74-0.94). An algorithm based on respiratory rate and sTREM-1 predicted 30-day intubation/mortality with 94% sensitivity and 0.1 negative likelihood ratio. An IL-6-based algorithm had 98% sensitivity and 0.04 negative likelihood ratio for 30-day oxygen requirement. CONCLUSIONS: sTREM-1 and IL-6 concentrations in COVID-19 in the ED have good predictive accuracy for intubation/mortality and oxygen requirement. sTREM-1- and IL-6-based algorithms are highly sensitive to identify patients with adverse outcome and could serve as early triage tools.
Keywords	covid19
Publisher	WHO
Document type	Article
Note	WHO #Covidence: #849714
Database	COVID19

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