Fiore Filippo, Fiore Enrico, Contiero Barbara, Lisuzzo Anastasia
Department of Veterinary Medicine, University of Sassari, 07100 Sassari, Italy.
Department of Animal Medicine, Production, and Health (MAPS), University of Padua, 35020 Legnaro, Italy.
Animals (Basel). 2025 Mar 20;15(6):883. doi: 10.3390/ani15060883.
Ultrasound back-fat thickness (BFT) can indirectly assess the risk of metabolic disease as hyperketonemia. In this study, 129 multiparous and clinically healthy dairy cows were enrolled and examined weekly for the first 8 weeks of lactation for body-condition score (BCS), BFT, β-hydroxybutyrate (BHB), weekly changes (ΔBCS, ΔBFT, ΔBHB), and total changes over the study (TotalΔBCS, TotalΔBFT, TotalΔBHB). Cows with BHB ≥ 1.0 mmol/L were considered to be affected by hyperketonemia (HK; n = 56), while the remaining animals were considered as controls (CTR; n = 73). Statistical analysis included mixed models, spearman correlation matrix, logistic regression, and linear regression analysis. BCS and BFT showed a strong correlation and were greater in the first weeks after calving in HK. The same group had greater BCS and BFT losses over the trial. However, weekly changes were identified only for BFT. Linear and logistic regression analysis for the disease event identified that BFT loss of 1 mm was associated with an increase in BHB (+0.36 mmol/L) and an increased risk of developing hyperketonemia over the week when the loss was between the second and first weeks (+2.5 times), third and second (+51%), and fourth and third (+58%) weeks. In conclusion, BFT can be used to identify the risk of developing hyperketonemia during early lactation.
超声背膘厚度（BFT）可间接评估代谢疾病如高酮血症的风险。在本研究中，纳入了129头经产且临床健康的奶牛，并在泌乳的前8周每周对其进行检查，以评估体况评分（BCS）、BFT、β-羟丁酸（BHB）、每周变化量（ΔBCS、ΔBFT、ΔBHB）以及整个研究期间的总变化量（TotalΔBCS、TotalΔBFT、TotalΔBHB）。BHB≥1.0 mmol/L的奶牛被认为患有高酮血症（HK；n = 56），而其余动物被视为对照组（CTR；n = 73）。统计分析包括混合模型、斯皮尔曼相关矩阵、逻辑回归和线性回归分析。BCS和BFT显示出强烈的相关性，且在HK组产犊后的头几周更高。同一组在试验期间的BCS和BFT损失更大。然而，仅确定了BFT的每周变化量。对疾病事件的线性和逻辑回归分析表明，当BFT损失1 mm时，与BHB升高（+0.36 mmol/L）以及在损失发生的第二周和第一周之间（+2.5倍）、第三周和第二周之间（+51%）以及第四周和第三周之间（+58%）患高酮血症的风险增加相关。总之，BFT可用于识别泌乳早期患高酮血症的风险。
