The use of a hand-held conductivity meter for the diagnosis of subclinical mastitis in dairy cows during late lactation

AIM: To evaluate the accuracy of a hand-held electrical conductivity meter for the detection of subclinical mastitis in an Australian dairy herd in late lactation. METHODS: A hand-held conductivity meter was evaluated during late lactation in a herd of dairy cows that had a high prevalence of Streptococcus agalactiae and Staphylococcus aureus infection. The ability of the conductivity meter to accurately discriminate between uninfected quarters and those infected with major pathogens was assessed, using bacteriology as the definitive test for infection status. Milk samples for bacteriology, and electrical conductivity measurements, were collected from 233 quarters from 59 cows. The ability of the device to identify infected and uninfected cows was also assessed. Sensitivity and specificity were calculated for a range of threshold values, using absolute values, the range of quarter values within a cow and the ratio of quarter values within a cow. RESULTS: Electrical conductivity was higher in infected quarters than uninfected quarters, but the degree of overlap between the populations was substantial, even when quarters were assessed as case-control pairs from the same cow. Use of the device according to the manufacturer's recommendations for diagnostic criteria of mastitic quarters had a sensitivity of 51% and a specificity of 71%. The ability of the device to correctly diagnose the infection status of cows was dependent on both the analytical method and the threshold value used. Applying the manufacturer's recommended criteria to the diagnosis of the status of cows, the sensitivity of the test was 91% and the specificity 17%. CONCLUSION: The variability between individual quarters and between cows in this study was such that the use of this device to measure the conductivity of milk was not a reliable method by which to diagnose subclinical mastitis in cows in late lactation. CLINICAL RELEVANCE: Interpretation of results from handheld conductivity meters when used for the diagnosis of subclinical mastitis in dairy cows needs to be made with care. In some circumstances the results obtained do not accurately reflect the bacteriological status of either individual quarters, or cows.     

An evaluation of a hand-held electrical resistance meter for the diagnosis of bovine subclinical mastitis in late lactation under Australian conditions

OBJECTIVE: To assess the ability of a hand-held device to differentiate between infected and noninfected bovine mammary glands according to the electrical resistance of milk, under Australian conditions. DESIGN: A cross-sectional study. PROCEDURE: Milk samples were collected from 236 quarters of 60 cows selected from a commercial dairy herd with a high prevalence of mastitis. The true infection status of these quarters was determined using bacteriology. Various methods were used in an attempt to relate the electrical resistance of milk from each quarter to the presence or absence of infection in that quarter. RESULTS: Although the electrical resistance of milk from infected quarters was generally lower than that of noninfected quarters, the overlap of readings between the two populations limited the ability of this device to indicate accurately whether a quarter was infected. The use of methods comparing the readings from each of the four quarters of a single cow did not allow the reliable detection of infected cows. CONCLUSION: Although this device may have some practical advantages in comparison with some other methods of diagnosing subclinical mastitis, the predictive value of the method was generally poor.     

Use of a hand-held meter for detecting subclinical ketosis in dairy cows

The Optium Xceed is a new hand-held meter for determining blood β-hydroxybutyrate (BHBA) and glucose in human medicine. The objective of this study was to compare BHBA and glucose results obtained using the hand-held meter with those results made with a laboratory method and to evaluate its usefulness as a cowside test in the diagnosis of subclinical ketosis (SCK) in dairy cows. Seventy-eight blood samples from clinically healthy Holstein cows between 5 and 60 days post-calving were analysed. BHBA and glucose values were significantly higher with the hand-held meter versus laboratory methods. Correlation coefficients (r) for BHBA and glucose with the Optium Xceed versus laboratory methods were 0.97 and 0.63, respectively. Based on Bland–Altman plot and Passing–Bablok regression, agreement between two methods was good for BHBA but the agreement for glucose was only fair. When SCK was defined as plasma BHBA levels 1200 μmol/L, the sensitivity and specificity of the hand-held meter ketone testing in determining SCK were 85% and 94%, respectively. Raising the threshold of the laboratory method to 1400 μmol/L, the sensitivity and specificity incremented to 0.90 and 0.98, respectively.In conclusion, the blood ketone-monitoring device can be used as a rapid and reliable diagnostic test to detect SCK under field conditions.     

Milk prostaglandins and electrical conductivity in bovine mastitis

Prostaglandin (PG) levels in milk samples from healthy and mastitic cows were determined by radioimmunoassay. In composite milk the PG levels were rather high both in healthy and mastitic samples, and the only significant difference was in thromboxane B₂ (TXB). In quarter milk samples classified according to the degree of mastitis by use of somatic cell counts, PGE₂ was 40, PGF₂15, and TXB₂ 44 per cent higher respectively in affected samples. PG levels were in good correlation with somatic cell counts (r=0.63–0.68, p<0.01) and electrical conductivity (r=0.36–0.52, p<0.01), two established criteria for diagnosis of mastitis. PGE₂ also correlated with protein, TXB₂ with fat content. PGF₂ was in a negative correlation with milk yield. The good correlation of PGs with somatic cell counts and electrical conductivity suggests that PGs might be used as markers of mastitic inflammation.     

Electrical detection of subclinical mastitis

Abstract

Extract

Sir,— The work of Linzel et al.(2) Clarke, G. P. Y. and Oliver, J. 1977. Estimation of the prevalence of udder infection in dairy herds based on a single-quarter sample from each cow in the dairy herd. J. Dair. Res., 44: 195–199.  [Google Scholar] (3) Linzell, J. L. and Peaker, M. 1975. Efficacy of the measurement of the electrical conductivity of milk for the detection of subclinical mastitis in cows: Detection of infected cows at a single visit. Br. vet. J., 131: 447–460.  [Google Scholar] suggested that a high proportion of quarters showing subclinical infection could be detected by measuring the maximum absolute electrical conductivity of their foremilk. Consequently, it seemed worthwhile to evaluate the performance of a simple electrical conductivity meter ^{* *}AHI Mastitis Detector, AHI Plastic Moulding Co., Private Bag, Hamilton. , designed to be a rapid and reliable test for subclinical mastitis, against the more conventional tests.     

Treatment of subclinical mastitis.

Topics addressed in this article include applied pharmacology of the bovine mammary gland, principles of antibiotic sensitivity testing, mechanisms of antimicrobial resistance, causes of treatment failures, diagnostic considerations, and therapy of specific subclinical mastitis syndromes. Recent research concerning systemic therapy of subclinical mastitis is highlighted and critically reviewed. Limitations of antibiotic sensitivity testing are discussed. The lack of proven, efficacious therapy for many subclinical mastitis syndromes is emphasized.     

Influence of the treatment of subclinical mastitis on the electric conductivity of milk before ejection

10 cows (German Brown x Brown Swiss) with 29 infected quarters (14 Staphylococcus aureus, 10 esculin positive streptococci, 5 Staphylococcus spec.) were treated daily after morning milking over a period of 4 days. Ampicillin and cloxacillin (500 mg each per dose) were administered to all 40 quarters intracisternally. During the evening milkings on 4 test days (day 3 before treatment, day 1 of treatment, days 5 and 9 after the last treatment), electrical conductivity based on 25 degrees C (EC) was measured in fore milk. To avoid ejection of alveolar milk, EC measurement was the first contact to the udder. Independent of the initial level, EC of all quarters was elevated by 2.1 mS/cm on average at the first milking following the first treatment. 9 days after the end of treatment, EC had declined to the initial level in all quarters classified as mastitic, non specific and latent infected before treatment. By contrast, EC values of healthy quarters remained elevated compared to their initial level (p < 0.01). This might be due to increased cistern tissue permeability caused by mechanical and pharmacological effects of antibiotic treatment. Despite the fact that somatic cell count and total bacteria count were reduced by treatment (p < 0.01), results showed that EC measurement on the first days following treatment was unsuitable for checking the success of treatment.     

Accuracy and reliability of mastitis detection with electrical conductivity and milk colour measurement in automatic milking

Abstract

Detection of mastitis and reliability of alarms were evaluated in eight herds with automatic milking. Herds were visited once to gather milk samples and the farmers followed up alarms for 15 to 30 days. Sensitivity of detecting quarters with SCC over the threshold value of 200,000 or 1,000,000 cells/ml was 18.0 to 42.9% in Group A, based on electrical conductivity (EC) and 5.5 to13.0% in Group B, based on EC and milk colour. Specificity was over 97.0%. In Group A, 6/17 of the EC alarms were false positives. None of the seven EC alarms in Group B was false positive. On the day that the farmer observed clinical mastitis, more than half of the quarters received alarms, but only milk from some quarters was automatically diverted. In total 58.4% (Group A) and 26.8% (Group B) of cows had alarms based on EC, and 84.1% (<20% true positives) and 12.0% (60–90% true positives) had alarms based on milk yield or milk colour during the follow-up period. The number of alarms was halved in Group A when a running average was applied to the algorithm of EC. The proportion of true positives simultaneously increased from 30% to 60%. In Group B, the number of alarms was almost doubled with algorithm manipulation, but the proportion of true positives declined from >80% to >70%.     

Algorithms in the evaluation of electrical conductivity in milk in screening for mastitis

An algorithm of evaluation of diagnostic data for electronic screening of subclinical and clinical mastitis was derived from 5848 field measurements of the electric conductivity of mammary gland secretions and from the same number of clinical, bacteriological and cytological examinations of 92 dairy cows. The algorithm consists in the calculation of arithmetical mean of the two highest values of mixed, i.e. absolute, and or differential conductivity of a seven-day sliding cycle. Regardless of the intensity of disease forms, for healthy and colonized mammary glands, for mammary glands suffering from nonspecific subclinical mastitis, infectious subclinical mastitis and infectious clinical mastitis, the overall agreement with findings according to repeated clinical, bacteriological and cytological examinations made 88.8% with 4.2% of falsely negative and 7.0% of falsely positive findings. The overall agreement for persistent forms of diseases made 95.3% without falsely negative findings and with 4.7% of falsely positive findings.     

Methods of diagnosing subclinical mastitis in dairy cow mastitis control programs

The number of somatic cells and the isolation of the causative agents of mastitis in quarter, composite, bucket, and bulk tank samples of cow's milk was determined four times during a six-month period. The number of somatic cells in milk samples indicated a degree of mastitis infection and was influenced neither by the year season nor by the length of lactation. At a repeated examination of 28 dairy cows an increased number of somatic cells in milk was found once in 68 udder quarters and with three successive samplings only in 21 quarters. The etiological agents of mastitis were detected once in 31 quarters and three times in succession only in five quarters. The number of cows positive by the number of cells in quarter samples of milk increased from 52.9-58.8% at a single examination to as much as 100% at four examinations. The etiological agents of mastitis were isolated in a single examination in 17.6% of cows and at four examinations in 58.8% of cows. The composite and bucket samples of milk containing 200 to 300 thousand cells per ml are recommended to be considered as mastitis-positive: in 68 to 78% they came from cows having more than 500 thousand cells per ml at least in one quarter sample. The number of cells in a bulk sample was in correlation with the percentage of cows having a positive NK-test (similar to CMT) and positive isolation of S. agalactiae from quarter milk samples.(ABSTRACT TRUNCATED AT 250 WORDS)     

The detection of mastitis in individual quarters using electrical conductivity or somatic cell concentration

In this investigation electrical conductivity (EC) and somatic cell concentration (SCC) were compared in 3 herds for their ability to correctly identify the infection status of quarters. For EC, thresholds of 6.0 and 6.8 mS/cm were used and comparisons were made between quarters within each cow. The method of comparison between quarters was the same as that described by the manufacturers of the AHI Mastitis Detector. For SCC a threshold of 500 x 10(3) cells/ml was used. For both EC and SCC considerable variation was found between herds for sensitivity (the proportion of quarters infected with a major pathogen and detected as abnormal), and specificity (the proportion of quarters free from infection and detected as normal). The mean sensitivity and specificity of EC for the three herds was 49% and 79% respectively, whereas for SCC the means were 71% and 81% respectively. The variation in sensitivity and specificity of EC between herds was attributed to differences in the distribution of EC for quarters of similar infection status. It was concluded that these differences in herd EC precluded the use of pre-determined EC thresholds which were applicable for detecting mastitis in all herds.