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Enzymic Activity, Metabolites, and Hematological Responses Changes of Clinical Healthy High-Risk Beef Calves During Their First 56-Days from Arrival.
Animals (Basel)
January 2025
Unidad Académica de Medicina Veterinaria y Zootecnia, Universidad Autónoma de Zacatecas, General Enrique Estrada 98500, Mexico.
The objective of this study was to evaluate the changes in enzymic activity, metabolites, and hematological responses during the first 56-d of arrival of newly received calves, which were qualified at reception as high-risk but diagnosed as clinically healthy. A total of 320 blood samples were taken from 64 crossbred bull calves (average initial body weight = 148.3 ± 1.
View Article and Find Full Text PDFA comparative evaluation of haematological and biochemical parameters of and species living in Gökova Bay, Türkiye.
PeerJ
January 2025
Faculty of Fisheries, Muğla Sıtkı Koçman University, Muğla, Türkiye.
This study aims to determine and compare the reference values of the haematological and biochemical blood parameters of two fish species collected from the Gökova Bay (Muğla, South-Western of Türkiye): the non-native and invasive Randall's threadfin bream, and the native Common pandora, . Both species inhabit the same environment and compete for resources. Blood samples were collected from a total of 100 fish samples (50 and 50 ) which were caught from a depth of 30 to 60 meters between February 2023 and July 2024.
View Article and Find Full Text PDFIn Table 7.2, "Common interfering substances and/or conditions that affect glucose meters (for inpatient and outpatient use)," of the article cited above, the effects on glucose values measured by blood glucose meters for high and low hematocrit were incorrect. For high hematocrit, the effect would be falsely lower blood glucose values.
View Article and Find Full Text PDFPursuing Better Outcomes in Obstructive Colorectal Cancer Surgery: A New Predictive Scoring System for Immediate Complications and Optimization of Hospital Stay.
Cureus
December 2024
Department of Medical-Clinical Disciplines, General Surgery, Titu Maiorescu University of Bucharest, Bucharest, ROU.
Introduction: Colorectal cancer (CRC) is one of the most common cancers occurring globally. Surgery for CRC often extends hospital stays due to complications, as patients must meet nutritional needs and regain mobility before discharge. Longer hospital stays, required for extended monitoring and care, can increase the risk of further complications, creating a cycle where extended stays lead to more issues.
View Article and Find Full Text PDFTen Machine Learning Models for Predicting Preoperative and Postoperative Coagulopathy in Patients With Trauma: Multicenter Cohort Study.
J Med Internet Res
January 2025
Department of Anesthesiology, Daping Hospital, Army Medical University, Chongqing, China.
Background: Recent research has revealed the potential value of machine learning (ML) models in improving prognostic prediction for patients with trauma. ML can enhance predictions and identify which factors contribute the most to posttraumatic mortality. However, no studies have explored the risk factors, complications, and risk prediction of preoperative and postoperative traumatic coagulopathy (PPTIC) in patients with trauma.
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