title: Diagnostic accuracy of refractometry for assessing bovine colostrum quality: A systematic review and meta-analysis.
abstract: Provision of good quality colostrum [i.e., immunoglobulin G (IgG) concentration ≥50g/L] is the first step toward ensuring proper passive transfer of immunity for young calves. Precise quantification of colostrum IgG levels cannot be easily performed on the farm. Assessment of the refractive index using a Brix scale with a refractometer has been described as being highly correlated with IgG concentration in colostrum. The aim of this study was to perform a systematic review of the diagnostic accuracy of Brix refractometry to diagnose good quality colostrum. From 101 references initially obtain ed, 11 were included in the systematic review meta-analysis representing 4,251 colostrum samples. The prevalence of good colostrum samples with IgG ≥50g/L varied from 67.3 to 92.3% (median 77.9%). Specific estimates of accuracy [sensitivity (Se) and specificity (Sp)] were obtained for different reported cut-points using a hierarchical summary receiver operating characteristic curve model. For the cut-point of 22% (n=8 studies), Se=80.2% (95% CI: 71.1-87.0%) and Sp=82.6% (71.4-90.0%). Decreasing the cut-point to 18% increased Se [96.1% (91.8-98.2%)] and decreased Sp [54.5% (26.9-79.6%)]. Modeling the effect of these Brix accuracy estimates using a stochastic simulation and Bayes theorem showed that a positive result with the 22% Brix cut-point can be used to diagnose good quality colostrum (posttest probability of a good colostrum: 94.3% (90.7-96.9%). The posttest probability of good colostrum with a Brix value <18% was only 22.7% (12.3-39.2%). Based on this study, the 2 cut-points could be alternatively used to select good quality colostrum (sample with Brix ≥22%) or to discard poor quality colostrum (sample with Brix <18%). When sample results are between these 2 values, colostrum supplementation should be considered.
authors.affiliation: Département des Sciences Cliniques, Faculté de Médecine Vétérinaire, Université de Montréal, CP 5000, St-Hyacinthe, J2S 7C6, Québec, Canada. Electronic address: s.buczinski@umontreal.ca.
authors.forename: S
authors.initials: S
authors.lastname: Buczinski
authors.affiliation: Integrated Veterinary Research Unit, Namur Research Institute for Life Sciences, Department of Veterinary Medicine, Faculty of Sciences, Université de Namur, Rue de Bruxelles 61, 5000 Namur, Belgium.
authors.forename: J M
authors.initials: JM
authors.lastname: Vandeweerd
mesh_terms: D000818:Animals; D000831:Animals, Newborn; D001499:Bayes Theorem; D002417:Cattle; D003126:Colostrum / Q000737:chemistry*; D005260:Female; D005779:Immunodiffusion / Q000662:veterinary; D007074:Immunoglobulin G / Q000032:analysis; D011247:Pregnancy; D012372:ROC Curve; D012031:Refractometry / Q000662:veterinary*; D012680:Sensitivity and Specificity
chemical_list: D007074:Immunoglobulin G
keywords: Brix; accuracy; immunoglobulin G; sensitivity; specificity