{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,5,26]],"date-time":"2023-05-26T04:33:07Z","timestamp":1685075587479},"reference-count":15,"publisher":"Georg Thieme Verlag KG","issue":"02","license":[{"start":{"date-parts":[[2023,5,25]],"date-time":"2023-05-25T00:00:00Z","timestamp":1684972800000},"content-version":"vor","delay-in-days":54,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Tierarztl Prax Ausg G Grosstiere Nutztiere"],"published-print":{"date-parts":[[2023,4]]},"abstract":"Zusammenfassung<\/jats:title>\n Gegenstand und Ziel Die vorliegende Arbeit hatte das Ziel, mit Hilfe eines\n Bayesian Netzwerkes den Zusammenhang zwischen metabolischen Profilen und\n verschiedenen, in der Bestandsbetreuung von Milchk\u00fchen\n \u00fcblicherweise gebrauchten Scores zu objektivieren. Es wurde untersucht,\n ob zwischen den metabolischen Blutprofilen und dem Body Condition Score (BCS),\n dem Rumen Filling Score (RFS), dem Faeces Condition Score (FCS) und dem\n Undigested Fraction Score (UFS) auf Herdenbasis ein Zusammenhang besteht und ob\n die Bestandsscores das metabolische Profil zu ersetzen verm\u00f6gen.<\/jats:p>\n Material und Methoden Mittels blutchemischer Untersuchungen wurden von\n jeweils mindestens 10 Milchk\u00fchen aus 10 Betrieben, insgesamt 106 Proben,\n ein metabolisches Profil in den verschiedenen Leistungssphasen erstellt. Diese\n wurden oben angef\u00fchrten Scores bei denselben K\u00fchen\n gegen\u00fcbergestellt. Aus den Daten wurde ein additives Bayesian Netzwerk\n erstellt.<\/jats:p>\n Ergebnisse Im additiven Bayesian Netzwerk war ersichtlich, dass die\n Glukosekonzentration im Blut direkt auf die Kotkonsistenz (FCS) einwirkte. Es\n bestand eine Einwirkung des \u03b2-Hydroxybutyrat (BHB) auf die freien\n Fetts\u00e4uren (FFS). Der Harnstoff beeinflusste Phosphor im Blut wie auch\n die Glutamat-Oxalacetat-Transaminase (GOT). Der Harnstoff beeinflusste auch\n Kalzium im Blut und dieses dann Magnesium im Blut. Ein Zusammenhang des RFS mit\n dem BCS und einer erh\u00f6hten Leberaktivit\u00e4t wurde festgestellt.\n Die Glutathionperoxidase (GSH-Px), welche als Parameter f\u00fcr die\n Selenversorgung des Rindes herangezogen wird, hatte keinen signifikanten\n Zusammenhang mit den anderen gemessenen Parametern. Die GSH-Px und UFS standen\n isoliert im Modell.<\/jats:p>\n Schlussfolgerung Durch die Anwendung eines multidimensionalen Modells,\n speziell eines additiven Bayesian Netzwerks, konnten Zusammenh\u00e4nge\n zwischen Parametern von metabolischen Profilen und 4 Scoring-Systemen der\n Bestandsbetreuung von Milchk\u00fchen offengelegt werden. Mit diesen\n Zusammenh\u00e4ngen k\u00f6nnen die untersuchten 4 Scoring-Systeme\n effektiver in der Bestandsbetreuung eingesetzt werden.<\/jats:p>\n Klinische Relevanz Es bestehen Zusammenh\u00e4nge zwischen\n metabolischen Profilen und Gesundheitsscores. Letztere sind schneller\n verf\u00fcgbar und kosteng\u00fcnstiger. Bei Milchk\u00fchen mit\n metabolischen Erkrankungen oder Fruchtbarkeitsst\u00f6rungen ersetzt das\n Scoring eine detaillierte Auswertung mittels metabolischer Profile nicht.<\/jats:p>","DOI":"10.1055\/a-2061-9990","type":"journal-article","created":{"date-parts":[[2023,5,25]],"date-time":"2023-05-25T22:53:53Z","timestamp":1685055233000},"page":"77-83","source":"Crossref","is-referenced-by-count":0,"title":["Zusammenh\u00e4nge zwischen metabolischen Profilen und 4\n Bestandsbetreuung-Scores bei Milchk\u00fchen: Statistische Analyse anhand\n eines additiven Bayesian Netzwerkes"],"prefix":"10.1055","volume":"51","author":[{"given":"Michael","family":"H\u00e4ssig","sequence":"additional","affiliation":[{"name":"Diagnostikzentrum Nutztiergesundheit, Vetsuisse-Fakult\u00e4t,\n Universit\u00e4t Z\u00fcrich, Schweiz"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Annina","family":"Hanimann","sequence":"additional","affiliation":[{"name":"Diagnostikzentrum Nutztiergesundheit, Vetsuisse-Fakult\u00e4t,\n Universit\u00e4t Z\u00fcrich, Schweiz"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Frazer","family":"Lewis","sequence":"additional","affiliation":[{"name":"Institut f\u00fcr Epidemiologie, Vetsuisse-Fakult\u00e4t,\n Universit\u00e4t Z\u00fcrich, Schweiz"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sonja","family":"Hartnack","sequence":"additional","affiliation":[{"name":"Institut f\u00fcr Epidemiologie, Vetsuisse-Fakult\u00e4t,\n Universit\u00e4t Z\u00fcrich, Schweiz"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"194","published-online":{"date-parts":[[2023,5,25]]},"reference":[{"key":"ref2","doi-asserted-by":"crossref","first-page":"872","DOI":"10.3168\/jds.S0022-0302(98)75645-0","article-title":"A veterinary perspective of on-farm evaluation of nutrition and\n reproduction","volume":"81","author":"E Studer","year":"1998","journal-title":"J. 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