Department of Animal Sciences, The Ohio State University, Columbus 43210.
Department of Animal Sciences, The Ohio State University, Columbus 43210.
J Dairy Sci. 2019 Sep;102(9):8454-8477. doi: 10.3168/jds.2018-15127. Epub 2019 Jun 20.
The objective of this study was to conduct a meta-analysis to quantitatively characterize the effects of mastitis on the reproductive performance of dairy cows as well as to identify factors that interact with this relationship. A total of 29 publications were identified that contributed 24, 41, 27, 38, and 13 trial results to the meta-analysis of how mastitis is related to time to first service (TFS), days open (DO), services per conception (SPC), pregnancies per insemination at first service (FSP/AI) and pregnancy loss (PL), respectively. The meta-analyses were conducted using multilevel linear mixed-effects models. Overall, high levels of heterogeneity were present and meta-regression models only explained a small amount of heterogeneity. Results suggest that cows with mastitis pre-first insemination experience, on average, an additional 13.29 d to first service [95% confidence interval (CI): 6.64, 19.95] when compared with cows with no mastitis in the same time period. Moreover, in relation to cows with no mastitis in the same time period, 22.34 additional DO (95% CI: 12.89, 31.79) were estimated, on average, for cows with clinical mastitis at pre-insemination leading to conception. Additionally, 32.41 added DO (95% CI: 20.58, 44.25) were estimated, on average, for cows with clinical mastitis at pre- or post-insemination leading to conception compared with cows with no mastitis in the same time period. Finally, 20.03 additional DO (95% CI: 3.11, 36.95) were estimated, on average, for cows with subclinical mastitis pre- or post-insemination leading to conception compared with cows with no mastitis in the same time period. Effect size estimates from the meta-regression models for SPC, in relation to cows with no mastitis in the same time period, suggest that, on average, SPC increases by 0.46 inseminations (95% CI: 0.30, 0.62) for a cow experiencing mastitis pre-insemination leading to conception. When mastitis occurs either pre- or post-insemination leading to conception, SPC is expected to increase, on average, by 0.72 inseminations (95% CI: 0.48, 0.95) compared with cows with no mastitis in the same time period. The estimated effect sizes for FSP/AI suggest a risk ratio of conceiving at first insemination of 0.90 (95% CI: 0.82, 0.99) for cows with mastitis diagnosed pre-first insemination with respect to cows with no mastitis in the same time period, and a risk ratio of 0.79 (95% CI: 0.72, 0.86) for cows diagnosed with mastitis either pre- or post-first insemination with respect to cows with no mastitis in the same time period. Publication bias was identified in 4 of the meta-analysis models (TFS, DO, SPC, and FSCR), but no influential trials were identified in any models; the reliability of the meta-analysis results should be interpreted carefully keeping these limitations in mind. Further meta-regression analysis would be valuable as additional studies are published that report other potential sources of heterogeneity.
本研究的目的是进行荟萃分析,定量描述乳腺炎对奶牛繁殖性能的影响,并确定与这种关系相互作用的因素。共有 29 篇文献被确定为与乳腺炎与首次配种时间(TFS)、开放天数(DO)、配种受胎率(SPC)、首次配种受胎率(FSP/AI)和妊娠损失(PL)相关的荟萃分析提供了 24、41、27、38 和 13 项试验结果。使用多层次线性混合效应模型进行荟萃分析。总体而言,存在高水平的异质性,元回归模型仅解释了一小部分异质性。结果表明,与同一时期没有乳腺炎的奶牛相比,首次配种前患有乳腺炎的奶牛首次配种平均需要额外 13.29 天[95%置信区间(CI):6.64,19.95]。此外,与同一时期没有乳腺炎的奶牛相比,患有临床乳腺炎的奶牛在首次配种前受孕时,平均额外增加 22.34 天 DO(95%CI:12.89,31.79)。此外,与同一时期没有乳腺炎的奶牛相比,患有临床乳腺炎的奶牛在首次配种前或配种后受孕时,平均额外增加 32.41 天 DO(95%CI:20.58,44.25)。最后,与同一时期没有乳腺炎的奶牛相比,患有亚临床乳腺炎的奶牛在首次配种前或配种后受孕时,平均额外增加 20.03 天 DO(95%CI:3.11,36.95)。从与同一时期没有乳腺炎的奶牛的 SPC 相关的元回归模型的效应大小估计值来看,平均而言,患有乳腺炎的奶牛首次配种受孕时,SPC 增加 0.46 次配种[95%CI:0.30,0.62]。当乳腺炎发生在首次配种前或配种后导致受孕时,与同一时期没有乳腺炎的奶牛相比,SPC 预计平均增加 0.72 次配种[95%CI:0.48,0.95]。FSP/AI 的估计效应大小表明,与同一时期没有乳腺炎的奶牛相比,首次配种时患有乳腺炎的奶牛受孕的风险比为 0.90(95%CI:0.82,0.99),而首次配种前或配种后患有乳腺炎的奶牛的风险比为 0.79(95%CI:0.72,0.86)。在 4 项荟萃分析模型(TFS、DO、SPC 和 FSCR)中发现了发表偏倚,但在任何模型中都没有发现有影响力的试验;在考虑到这些限制的情况下,应谨慎解释荟萃分析结果的可靠性。随着更多报告其他潜在异质性来源的研究的发表,进一步的元回归分析将是有价值的。