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Institute for Animal Health, Compton, Newbury, Berkshire, RG20 7NN U.K.
Corresponding author: E. Berry; e-mail: elizabeth.berry{at}bbsrc.ac.uk.
| ABSTRACT |
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Key Words: antibiotic internal teat sealant intramammary infection Orbeseal
Abbreviation key: VIF = variance inflation factors
| INTRODUCTION |
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Any deviation from the expected frequencies for quarter infections within cow, if they are not independent, could be attributed to common risk factors, such as mammary gland conformation, immune competency, or exposure of the quarter due to close proximity to other infected quarters. In most studies in which only infected quarters were treated at drying off and uninfected quarters were left untreated, it has been demonstrated that significantly more new infections have occurred in the previously uninfected quarters (Browning et al., 1990; Browning et al., 1994; Ward and Shultze, 1974; Williamson et al., 1995). This has led to the recommended treatment of all quarters of those cows with one or more quarters infected (Ward and Shultze, 1974; Browning et al., 1990; Browning et al., 1994; Williamson et al., 1995). Knowledge of whether quarter independence of intramammary infection occurs over the dry period could influence how dry cow therapy is best applied (either as a prophylactic or therapeutic measure).
In this paper, data from two different dry cow strategy trials were analyzed (Berry and Hillerton, 2002a,b). Since the objectives of the studies were to test treatment efficacy at the quarter level and since treatment was applied at the cow level, some statistical control was required. Ignoring quarter interdependence could lead to an underestimation of the variance and an associated increase in Type 1 error (i.e., the probability of declaring that a significant difference existed when in reality it did not). Many statistical software packages contain procedures such as Glimmix in SAS (SAS Inst., Cary, NC) or MlwiN in Stata (Stata Corp., College Station, TX) that enable multilevel analyses, thus accounting for clustering in datasets. The size of the dataset and the number of observations within the strata may, however, limit these procedures and may lead to computational problems and nonconvergence (Zadoks et al., 2001).
The data were first analyzed for evidence of clustering of intramammary infection within the cow. Using this information, the protective effect of the two dry-cow strategies was then quantified. Variance inflation factors (VIF) may be used to correct for effect estimates (interdependence between observations) using adjustment for intracow correlation (the strength of the clustering) (Donald, 1993; 1994; Barkema et al., 1997). This method is compared with the Glimmix macro of SAS (Version 8.2) where the strata-specific variance is directly estimated and then used to calculate the correlations.
| MATERIALS AND METHODS |
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Treatments in both trials were allocated at the cow level, but infection status at drying off and calving was determined at the quarter level.
A single 15-ml foremilk sample from each teat was collected according to IDF (1981) recommendations. Samples were taken 1 wk prior to drying off, at drying off, within 24 h of calving where possible, and 7 to 14 d after calving. Extra samples were taken if any of the previous samples were not suitable, or for confirmation of infection. Most cows had at least one extra postcalving sample taken. Sampling at predrying-off, drying off, and postcalving was usually on the same day each week and samples were stored at 4°C and assayed within 24 h of collection. Microbiological examination was carried out according to IDF (1981) recommendations. An infection was defined as isolation of the same pathogen in two consecutive samples or two out of three samples, or isolation of a pathogen from a quarter with signs of clinical mastitis (IDF, 1981).
The antibiotic and teat sealant trials included cattle on four and seven farms, respectively. For the current study, analyses were conducted only on the results from the cows in two of the herds that were used in both of the earlier trials. Both of these herds were located at the Institute for Animal Health (Compton, U.K.) and managed as commercial herds. They also represented the largest portion of the sample size in both of the trials and were under common management as dry cows. All cows in these herds were used and these cows were either uninfected or infected only with Corynebacterium spp. or CNS. This in contrast to the other herds where a proportion of cows were infected, primarily with Staphylococcus aureus, or only a selected proportion of the herd was used. Use of data from these other herds could have introduced other potentially confounding factors into the analysis. Any cows with fewer than four functioning quarters were excluded from the quarter interdependence analysis.
Statistical Analyses
Quarter distribution.
It has been reported from previous analyses on clinical mastitis in lactation, that infections were more likely to occur in the rear quarters than in the front quarters (Batra et al., 1977; Adkinson et al., 1993; Barkema et al., 1997). However, this varies according to pathogen. For example, summer mastitis is more likely to occur in front quarters (Hillerton et al., 1995). To determine that infections at calving were not occurring more frequently in one quarter, infection status at calving with respect to treatment group by quarter was analyzed with the GLM procedure in the Minitab statistical computer package (release 12.21, Minitab Inc., State College, PA) using the following model:
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where IC is infection status at calving, Q is quarter, and TX is treatment group, Q x TX is the interaction between quarter and treatment.
Quarter interdependence.
The prevalence of intramammary infection at calving was categorized according to the number of infected quarters within a cow and compared with the expectations based on the assumption that intramammary infections of quarters were independent. The expected number of infected quarters per cow was determined by a binomial probability distribution using the following formula (Barkema et al., 1997):
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where P(x) = probability that x of the four quarters would have an intramammary infection and Pr = overall proportion of quarters with an intramammary infection. The difference between the observed and expected distributions was tested using a goodness-of-fit test in the FREQ procedure of the SAS system (SAS Inst., Inc., Cary, NC).
Treatment effects.
Logistic regression was used to model infection status by quarter at calving to control for potential confounding factors using the Genmod procedure of the SAS system. A fixed VIF was calculated for each trial and used to correct variance in the analyses. This took into account the intraclass correlation for quarter infections.
The intraclass correlation (
) is calculated using the following equation:
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where (
) = intraclass correlation, m = mean number of quarters per cow, MSW = mean square variance within cow, and MSB = mean square variance between cows.
Variance inflation factor is calculated using the following formula:
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where
= variance inflation factor and m = mean number of quarters per cow.
The Glimmix macro within the SAS system was used for the multilevel analysis of infection status at calving. Quarters were nested within cows and variance estimates were obtained between quarters (i.e., within cows) and between cows.
The outcome variable (response) was infection status at calving measured at the quarter level. In addition to the effect of the dry-cow strategy (the treatment), parity and infection status at drying off were also examined. The study population had a small number of higher parity cows, resulting in a homogeneous distribution of parities. Therefore, the parity information was classified as either parity two or parity three and greater. The parity number is for the lactation following the trial dry period. Infection status at drying off was defined as uninfected or infected with either Corynebacterium spp. or CNS. The final model was chosen by a forward stepwise procedure, where a variable was included in the model if it led to a significant (P < 0.05) change in deviance. The final model was confirmed by a corresponding backward selection procedure.
| RESULTS |
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Quarter interdependence.
The expected number of cows with a given number of quarters infected was not always greater than one. In these cases, the goodnessoffit tests were performed by aggregating the data to the point where the expected number of infected quarters was greater than one. There was significant quarter interdependence in both the antibiotic (P < 0.001) and teal seal (P < 0.001) trials (Figures 1a
and 2a
). There were more uninfected cows and cows infected in multiple quarters, as well as fewer cows with only one infected quarter, than were expected from the binomial distribution. The same pattern was observed in the untreated groups of both trials (Figures 1b
and 2b
). However, there was no evidence of quarter interdependence in cows that received either the antibiotic or teat seal treatments (Figures 1c
and 2c
).
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The largest variance component was due to the cow in both the antibiotic and the teat seal trials (Table 4
). The variance due to the quarter was estimated to be 0 in the teat seal trial.
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| DISCUSSION |
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In both the antibiotic and teat seal treated groups quarter interdependence was not observed. This may be a reflection of the low number of infected quarters observed in these trials. However, it is more likely to demonstrate the protective effect of treatment through the reduction of quarter interdependence. Previous work, using incidence scores for the number of quarters infected by cow, indicated that dry-cow therapy would be expected to alter the underlying frequency distribution and ignored any cows treated with dry-cow therapy in the analysis (Funk et al., 1982). This independence is in contrast to the untreated groups of the present trials, where quarter interdependence resulted in a decrease in the number of cows with one quarter infected and an increase the number of cows with either uninfected quarters or three or four quarters infected, compared with the expected distribution. This could be due to an individual cow susceptibility factor or to a pathogen exposure factor.
In this study, both VIF and Glimmix methods identified and controlled for clustering of infections within cows in the antibiotic trial based on 47 out of 232 cows with at least one quarter infected. However, the Glimmix model generated an estimate of 0.00 for variance due to quarters in the teat seal trial. In this case, there were 36 out of 166 cows with at least one quarter infected. Agreement between the VIF and Glimmix methods may have been achieved if more cows had been infected, thereby increasing the number of clusters available for analysis. This is a potential weakness of the Glimmix method when it is applied to relatively small datasets. Although using data from other herds could have expanded the data set, it may have been potentially biased since only a proportion of cows was used in some herds due to previous selection of cows.
In uninfected cows, it is not common practice to undertake prophylactic treatment on individual quarters. The work presented here augments the argument for treating all quarters in a cow at drying off rather than treating only the infected quarter. If there were individual cow susceptibility, there would still be an increased risk for the other three untreated quarters, as demonstrated by previous studies using selective quarter treatment (Browning et al., 1990; 1994; Østerås and Sandvik, 1996; Barkema et al., 1997).
Proximity to clinical infection in other quarters within a cow has been shown to be a risk factor in clinical mastitis studies in lactation (Adkinson et al., 1993; Barkema et al., 1997). The data that were modeled in this study had no quarters infected at drying off with Staphylococcus aureus. In the complete datasets for both dry-cow trials (Berry and Hillerton, 2002a,b), there were a few quarters infected at drying off with pathogens other than Corynebacterium spp. or CNS, and these were primarily due to S. aureus. There were 27 cows with a quarter infected in the selective dry-cow trial and 35 in the teat-seal trial.
Proximity to infections, particularly with S. aureus, has been highlighted as a possible risk factor in the dry period (Ward and Shultze, 1974; Browning et al., 1990; 1994; Østerås et al., 1991s et al., 1994; Williamson et al., 1995; Østerås and Sandvik, 1996). The challenge by S. aureus may be from sites other than the udder or from other cows. In these two dry-cow trials, only one cow with a quarter already infected with S. aureus acquired a new S. aureus infection in another quarter. This would suggest that there is a greater challenge within the cow from quarters infected with S. aureus during lactation than in the dry period.
Analysis of data on treatment efficacy must take into account all possible factors, such as herd, cow, and quarter (when looking at intramammary data), to control for a possible clustering effect. One method to avoid intraclass correlation within the cow is to treat at the quarter level. This may be accomplished by applying a split-udder design, to control for interdependence due to the contagiousness of a pathogen (Lam et al., 1997). Other methods that may be used to correct for interdependence or clustering involve statistical correction and covariates included in the analysis.
For the selective antibiotic trial, taking into account quarter interdependence, it can be concluded that dry-cow treatment, the absence of infection at drying off, and being in the second parity had a positive effect on reducing the number of new quarter infections at calving. Within the selective teat-seal trial, only teat seal and infection status at drying off, not parity, had positive effects on new quarter infections at calving when taking into account quarter interdependence.
There are two possible reasons for this: either both parity and infection status at drying off have an effect on new quarter infections at drying off and the effect of infection status at drying off is greater than that of parity, or parity has a confounding influence on infection status at drying off. From both sets of descriptive data, an increase in the prevalence of quarters with Corynebacterium spp. was noted from parity two to parity three and greater. This increase was greatest for the selective dry-cow antibiotic dataset. There was also a different prevalence of Corynebacterium spp. at drying off in parity-two cows. The selective drycow trial had half the number of quarters with Corynebacterium spp. infections at drying off in parity two than did the selective teat seal trial. Whereas there were no interactions between infection status at drying off and parity, this difference in distribution could account for the differences seen for parity between the two trials.
| CONCLUSIONS |
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| ACKNOWLEDGEMENTS |
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Received for publication March 4, 2003. Accepted for publication June 11, 2003.
| REFERENCES |
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This article has been cited by other articles:
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E. A. Berry and J. E. Hillerton Effect of an Intramammary Teat Seal and Dry Cow Antibiotic in Relation to Dry Period Length on Postpartum Mastitis J Dairy Sci, February 1, 2007; 90(2): 760 - 765. [Abstract] [Full Text] [PDF] |
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