The aim of this study was to report prevalences and causes of dystocias in dairy and beef cattle, in primiparous and multiparous cows, as well as the mortality rate of calves and cows, obtained after 11 years of records across various farms in Italy. On a total of 14,575 records from dairy Italian Friesian cows, beef Romagnola and Marchigiana cows, a prevalence of 5.6% was observed, with a significant higher prevalence in primiparous (p < 0.0001), and dairy cows (p < 0.0001). Dystocias of fetal origin were higher than the ones of maternal origin (p < 0.0001). Dystocia management, performed with manual correction in 96% of the cases, was associated with the 25% of calf mortality and the 11% of maternal mortality. When the combined effects of attitude and parity were assessed in relation to each fetal or maternal dystocia cause, dystocia resolution method and on calf, cow and calf-and-cow mortality, results showed a stronger association of dairy primiparous and multiparous cows than beef cows to several dystocia causes and calf-and-cow mortality. Taken together the results from the present study highlighted, once more, the importance of a correct breeding herd management and genetic selection programmes, especially in dairy cows, as well as the prompt diagnosis and correction of difficult calvings, for the effective management of dystocias aimed to reduce calf mortality.
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http://dx.doi.org/10.1016/j.theriogenology.2017.11.001 | DOI Listing |
Proc Natl Acad Sci U S A
February 2025
Meta-Research Innovation Center at Stanford, Stanford University, Stanford, CA 94305.
What is wrong with the peer review system? Is peer review sustainable? Useful? What other models exist? These are central yet contentious questions in today's academic discourse. This perspective critically discusses alternative models and revisions to the peer review system. The authors highlight possible changes to the peer review system, with the goal of fostering further dialog among the main stakeholders, including producers and consumers of scientific research.
View Article and Find Full Text PDFEmerg Microbes Infect
January 2025
Institute for Medical Virology, Goethe University, University Hospital Frankfurt, Frankfurt am Main, Germany.
Viremia defined as detectable SARS-CoV-2 RNA in the blood is a potential marker of disease severity and prognosis in COVID-19 patients. Here, we determined the frequency of viremia in serum of two independent COVID-19 patient cohorts within the German National Pandemic Cohort Network (German: tionales andemie horten etzwerk, NAPKON) with diagnostic RT-PCR against SARS-CoV-2. A cross-sectional cohort with 1,122 COVID-19 patients (German: , SUEP) and 299 patients recruited in a high-resolution platform with patients at high risk to develop severe courses (German: , HAP) were tested for viremia.
View Article and Find Full Text PDFAm J Med Genet A
January 2025
Gastroenterology and Endoscopy Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
Gastrointestinal (GI) symptoms are common in patients with Williams-Beuren syndrome (WBS), but their prevalence and possible causes are not yet fully known. This study assessed GI symptoms' prevalence and their possible origin by performing a predefined set of tests in adult WBS patients. Laboratory tests and a questionnaire were administered to assess GI symptoms and dietary habits.
View Article and Find Full Text PDFCureus
December 2024
Emergency and Accident, District Headquarter Hospital, Jhelum Valley, Muzaffarabad, PAK.
This retrospective study analyzes the histopathological patterns of skin lesions in 430 patients with systemic lupus erythematosus (SLE), meeting the American College of Rheumatology criteria from 2018-2023. Patient demographics reveal a mean age of 43.56 years, with a near-equal gender distribution (50.
View Article and Find Full Text PDFEnviron Res
January 2025
Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA; The Department of Geography and Environmental Development, Ben-Gurion University of the Negev, Beer Sheva, Israel.
Air-pollution monitoring is sparse across most of the United States, so geostatistical models are important for reconstructing concentrations of fine particulate air pollution (PM) for use in health studies. We present XGBoost-IDW Synthesis (XIS), a daily high-resolution PM machine-learning model covering the contiguous US from 2003 through 2023. XIS uses aerosol optical depth from satellites and a parsimonious set of additional predictors to make predictions at arbitrary points, capturing near-roadway gradients and allowing the estimation of address-level exposures.
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