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Forschungsstelle
BLV
Projektnummer
1.19.03
Projekttitel
Evidenz-basierte Strategien zum Trockenstellen von Milchkühen

Texte zu diesem Projekt

 DeutschFranzösischItalienischEnglisch
Schlüsselwörter
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Kurzbeschreibung
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Projektziele
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Abstract
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Erfasste Texte


KategorieText
Schlüsselwörter
(Deutsch)

Trockenstellen; Netzwerk Metaanalyse; Individuelle Teilnehmerdaten Metaanalyse; Antibiotikareduktion

Schlüsselwörter
(Englisch)

Dry cow therapy; network meta-analysis; individual participant data meta-analysis; antimicrobial usage reduction

Kurzbeschreibung
(Deutsch)

Seit 2016 ist gemäss TAMV die Abgabe von Antibiotika zur prophylaktischen Anwendung beim Trockenstellen von Milchkühen in der Schweiz eingeschränkt. Momentan bestehen noch keine strikt Evidenz-basierte Strategien für das selektive Trockenstellen, womit Neuinfektionen verhindert und bestehende Infektionen zur Abheilung gebracht werden sollen. Die Ziele des hier vorgelegten Projektes beinhalten 1) die Evaluation von nicht-antibiotischen Strategien zur Verhinderung von Neuinfektionen während der Galtzeit und 2) die Identifikation von Kuhgruppen, die am meisten von einer antibiotischen Therapie beim Trockenstellen profitieren. Zur Klärung der Fragestellung 1) werden die Daten von klinischen Studien in einer Netzwerk-Metaanalyse untersucht. Für die Fragestellung 2) werden die Rohdaten von klinischen Studien über die Abheilung von bestehenden Infektionen zusammengezogen und mit Hilfe einer "Individuelle Teilnehmerdaten"-Metaanalyse auf Viertelebene untersucht. Das Projekt wird Evidenz-basierte Strategien zum selektiven Trockenstellen liefern.

Kurzbeschreibung
(Englisch)

In 2016, the Swiss government has put legislation in place that restricts the blanket use of antimicrobials in dairy cows at dry off. However, current guidelines for the prevention of new, and cure of existing, intramammary infections (IMI) are not based on the highest scientific evidence possible. This project therefore aims to 1) evaluate and rank non-antimicrobial interventions that prevent new IMI and 2) identify subgroups of cows that will benefit most from an antimicrobial treatment at dry off. A systematic literature search will be conducted for both project aims. Data for the first aim will be extracted from published randomized clinical trials evaluating the prevention of new IMI. This data will be analysed using a network meta-analysis. For the second aim, the raw data from previously conducted randomized clinical trials evaluating cure of existing IMI will be requested from the original researchers. This data will be reanalysed using a individual participant data meta-analysis. The project will provide updated evidence-based guidelines for drying off cows.

Projektziele
(Englisch)

The current legislation of the FSVO prohibits the blanket usage of antimicrobials for cows at the end of their lactation. A differentation has to be made between "healthy" and "diseased" animals, which is currently being done using SCC measurements and bacteriological testing. Whereas "diseased" animals are allowed an antimicrobial treatment, "healthy" animals do currently not get any treatment. Not treating cows with a low SCC results in a decrease in antimicrobial usage but it coincides with a slight increase in clinical mastitis post dry-off (Scherpenzeel et al., 2014). Some "healthy" cows are truly infected at the end of lactation or they get a new IMI during the dry period, resulting in a higher incidence of clinical mastitis. There is thus a need to optimize dry off interventions to "healthy" cows. Work package 1 will meta-analyse the current scientific literature resulting in a ranking of non-antimicrobial interventions to healthy cows. It allows the FSVO and private veterinarians to update their guidelines regarding non-antibiotic dry-off strategies to "healthy" cows according to the best scientific evidence available. This is assumed to ultimately improve animal health and welfare of the cows post dry-off in comparison with drying off cows with no intervention. 

 

Although there is generally a good probability for IMI to cure during the dry period after being treated with antimicrobi-als (around 80%; Halasa et al., 2009), variation around that estimation exists. The identification of prognostic factors predicting this probability of cure will identify subgroups of cows that benefit most (and least) from an antimicrobial intervention. This allows FSVO and private veterinarians to update their guidelines concerning antibiotic dry cow treatment by making them cow-specific rather than being based on the generic SCC threshold that is currently being used in Switzerland. Such a targeted dry cow intervention is eventually assumed to result in a more prudent and effective antimicrobial usage because only a subgroup of cows will be selected for antimicrobial treatment. 

 

This project will have two work packages. Work package 1 will evaluate non-antimicrobial interventions aiming to prevent new IMI in healthy cows. Work package 2 will optimize antimicrobial interventions aiming to cure existing IMI. The aim of the first work package is to rank the effectiveness of various non-antimicrobial dry off interventions to cows with low SCC using a network meta-analysis. The aim of the second work package will be to identify subgroups of infected cows that are likely to benefit from an antimicrobial dry cow treatment using an individual participant data (IPD) meta-analysis.

Abstract
(Deutsch)
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Abstract
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