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* Department of Production Animal Clinical Sciences, Norwegian School of Veterinary Science, Oslo, Norway
Department of Norwegian Cattle Health Services, TINE Norwegian Dairies Association, Ås, Norway
Departments of Biostatistics and Statistics, University of Kentucky, Lexington, 40536
1 Corresponding author: Olav.Reksen{at}veths.no
| ABSTRACT |
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1,500 cfu/mL of milk) growth of Staph. aureus were also assessed separately for each outcome variable. The hazard of treatment of clinical mastitis was greater for cows diagnosed with Staph. aureus compared with cows with no pathogens in all analyses. Cows with sparse growth of Staph. aureus upon microbiological analysis were more likely to be treated for clinical mastitis, and cows with rich growth of the bacteria experienced a higher overall risk of culling when the models adjusted for cow composite milk somatic cell count. No difference between rich and sparse growth of Staph. aureus was found when mastitis was defined as the joint event of either culling for mastitis or treatment of clinical mastitis, and when the relationship with culling specifically for mastitis was assessed. The combined outcome of treatment and culling for mastitis was related to a positive diagnosis of Strep. spp. after cow composite milk somatic cell count was omitted from the model. Presence of Streptococcus spp. was also related to culling specifically for mastitis, whereas culling for all reasons and treatment of clinical mastitis was not related to a positive culture of Strep. spp. Presence of coagulase-negative Staph. spp. or other pathogens was not associated with either of the outcome variables.
Key Words: cow culling mastitis Staphylococcus aureus
| INTRODUCTION |
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The objectives of the present study were 3-fold. First, we assessed the time to treatment of clinical mastitis following the isolation of mastitis pathogens predominantly from subclinical IMI or colonization of the udder. Second, we evaluated the association between time to culling, and specifically time to culling due to mastitis, and isolation of mastitis pathogens. Third, we assessed the influence of isolation of rich or sparse numbers of colony-forming units of Staphylococcus aureus on time to treatment of clinical mastitis, the joint event of either treatment or culling for mastitis, general culling, and culling due to mastitis. To address these issues, a representative sample of cows enrolled in the Norwegian Dairy Herd Recording System (NDHRS) were selected without regard to their present or previous udder health status.
| MATERIALS AND METHODS |
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Quarter milk samples were collected aseptically by trained advisors from the dairy industry. The individual milk samples were analyzed for the growth of microorganisms in accordance with the official procedure in Norway (Aursjø et al., 1993), based on the procedures of the International Dairy Federation (1981, 1987), with the exemption that isolates of Staph. aureus were categorized according to number of colony-forming units at cow level. The amount of Staph. aureus was regarded as rich when >15 cfu (n = 324) were found in at least one sample of 0.01 mL of quarter milk (1,500 cfu/mL), and was regarded as sparse when
15 cfu were found upon microbiological analysis (n = 374) in one or more quarters. Mastitis pathogens were regarded to be present when the following microorganisms were isolated from the milk samples: Staph. aureus; Streptococcus dysgalactiae; Strep. uberis; coliform bacteria (including Escherichia coli); CNS; Strep. spp.; Enterococcus spp.; Arcanobacter pyogenes; Bacillus spp.; and yeast. Staphylococcus aureus was regarded to be present when a coagulase-positive Staphylococcus spp. was diagnosed. When microbiological diagnosis differed between or within quarters in the same cow, the diagnosis first listed above was assigned. In the joint event of a positive diagnosis both for Staph. aureus and Strep. dysgalactiae, the diagnosis Staph. aureus was assigned at cow level. Microbiological diagnoses were categorized as Staph. aureus (n = 698), Strep. spp. (n = 124), and CNS or other udder pathogens (n = 267). A detailed discussion of culture analyses at the quarter level can be obtained from Østerås et al. (2006).
Herds taking part in the NDHRS maintain individual health sheets for each female animal in the herd, together with records on calving date, parity, and milk yield per day in a particular month in milk, CMSCC per day recorded bimonthly (every 2 mo), disease history, and reasons for culling. Norwegian farmers do not have access to veterinary drugs, so that the large majority of treatments are carried out by veterinarians and recorded in the NDHRS. Veterinary diagnoses of clinical mastitis were used in this study. Primary and secondary reasons for culling were recorded by the farmer in accordance with definitions supplied by the NDHRS (Table 1
). Bimonthly CMSCC was measured from milk samples collected from 2 successive milkings using Fossomatic 5000 (Foss Electric, Hillerød, Denmark).
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The relationships with the outcome variables were also investigated in a subset of the data including only cows with a negative milk culture or a positive diagnosis for Staph. aureus. Because cows with other pathogens than Staph. aureus upon milk culture were omitted from these analyses, 2,684 microbiological analyses from 2,216 cows were used when no pathogens upon microbiological analysis compared to rich or sparse growth of Staph. aureus were used as covariates in the models. To avoid interference with management decisions, the findings from the microbiological analyses were not reported to farmers. The median herd size in the study was 15.1 cows (range = 3 to 99). Pure-breed Norwegian Red cattle comprised 97.7% of the study population.
Statistical Analyses
Separate statistical analyses involving proportional hazards regression models that incorporated random cow effects to account for repeated observations within cows were fitted using SAS version 8.12 (Allison, 1995) and S-Plus 6.0 (2001, S-Plus for Windows, Vol. 2, Insightful Corporation, Seattle, WA). P-values
0.05 were regarded as statistically significant. The models were used to characterize the relationships between the microbiological diagnoses and 1) time to treatment of clinical mastitis and the joint event of either treatment or culling for mastitis, 2) time to culling either due to mastitis, or 3) general culling. The microbiological diagnoses were categorized either as (a) samples without pathogenic microorganisms upon microbiological analysis vs. samples with a positive culture for Staph. aureus, Streptococcus spp., or the joint category of CNS plus other pathogenic organisms, or (b) samples without pathogenic microorganisms vs. samples with a positive culture for either rich or sparse growth of Staph. aureus.
The analyses adjusted for previous history of clinical mastitis, parity, milk yield, and the natural logarithm of CMSCC (lnCMSCC). Specifically, previous history of clinical mastitis was dichotomized so that it reflected whether a cow had been treated for clinical mastitis before she was sampled for microbiological analysis during the current or preceding lactation. Parity had 3 levels: namely first-parity cows, second-parity cows, and
3 parities. The continuous covariates were milk yield and lnCMSCC. All models were also run without lnCMSCC included, and hazard ratio (HR) for the milk culture results was reported together with the corresponding P-values obtained in these analyses. Calving season and season of microbiological sampling were grouped quarterly in winter, spring, summer, and fall. However, these covariates were excluded from the models due to lack of statistical significance. The backwards selection procedure was used.
The time to event was defined as time from sampling to treatment of clinical mastitis (case 1). Observations were censored if the event of interest had not occurred within 500 d after calving or if the animal had been culled within this time period (Table 2
). To account for informative censoring due to cows culled because of mastitis, a separate analysis was conducted where the event of interest was defined as a composite of treatment of clinical mastitis and culling for mastitis. The latter was assigned when mastitis was recorded by the farmer as the primary reason for culling.
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In fitting the models, each observation entered the risk set at the time of sampling for microbiological diagnosis. The covariates that were used in the calculation of the partial likelihood were recorded at the day of entry into the risk set. To account for repeated measurements on a single cow, a random cow effect was incorporated into all analyses, resulting in shared frailty models. Due to the random sampling procedure, clustering at herd level was not accounted for in the present analyses. This approach was supported by the fact that entering herd as a random effect to the model yielded close to identical parameter estimates as the current models.
Third-parity cows with no history of clinical mastitis and no mastitis pathogens upon microbiological diagnosis were the designated comparison (i.e., baseline) group in all analyses. Hazard ratios of the form h(t|x)/h(t|x*) were used to compare cows with covariate vector x to cows with covariate vector x*. A HR >1 implies an increased risk for cows with covariate combination x relative to those with covariate combination x*, and an HR < 1 implies a decreased risk. All models that were considered here had the following general form:
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where hij(t) denotes the hazard at time t for cow j at event i, xij denotes the vector of covariate information for cow j at event i with corresponding regression coefficient given by ß. The random cow-effects,
j, were assumed to be normally distributed with mean 0 and unknown variance.
The fitted models were assessed using deviance residuals (Allison, 1995). Plots of the log of the negative log of the estimated survivor function against log time showed no evident violations of the proportional hazards assumption in each of the 3 cases.
| RESULTS |
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Microbiological Diagnoses
The distribution of microbiological diagnoses among the sampled cows is reported in Table 3
. The mean DIM for microbiological sampling was 164 (SD = 94). Table 2
presents the number of events and the number of censored observations for each outcome.
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Table 5
presents the fitted model for case 1 when the covariates included rich or sparse growth of Staph. aureus, no pathogens, parity, milk yield, lnCMSCC, and clinical mastitis history. Cows with rich growth of Staph. aureus had hazard for treatment of clinical mastitis that was 19% higher, whereas cows with sparse growth had hazard that was 45% higher than that for cows with no pathogens. An increased likelihood of treatment was also apparent for sparse growth of Staph. aureus after lnCMSCC was removed from the model. The estimated HR in this model were as follows: isolation of rich growth of Staph. aureus vs. no pathogens, HR = 1.38 (P = 0.04); and isolation of sparse growth of Staph. aureus vs. no pathogens, HR = 1.59 (P < 0.01).
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Case 2: Relationships Between Microbiological Diagnoses and Culling for Mastitis
The primary reasons for culling as reported by the farmers that own the sampled herds are presented in Table 1
. In case 2, the relationship between culling for mastitis and the covariates were investigated. With microbiological diagnosis categorized as no pathogens, Staph. aureus, Strep. spp., and CNS or other pathogens, the following estimated HR were obtained: isolation of Staph. aureus vs. no pathogens, HR = 1.87 (P < 0.01); isolation of Strep. spp. vs. no pathogens, HR = 2.13 (P = 0.02); isolation of CNS or other pathogens vs. no pathogens, HR = 1.19 (P = 0.57); first parity vs. third or later parities, HR = 0.64 (P = 0.06); second parity vs. third or later parities, HR = 0.80 (P = 0.27); history of clinical mastitis, HR = 3.23 (P < 0.01); milk yield, HR = 1.03 (P = 0.02); and lnCMSCC, HR = 1.63 (P < 0.01). Omitting the latter variable from the analysis strengthened the association between milk culture results and hazard of culling for mastitis such that the following HR were obtained: isolation of Staph. aureus vs. no pathogens, HR = 2.57 (P < 0.01); isolation of Strep. spp. vs. no pathogens, HR = 3.39 (P < 0.01); isolation of CNS or other pathogens vs. no pathogens, HR = 1.46 (P = 0.22).
The relationship between culling for mastitis and the covariates produced the following HR, when microbiological diagnosis was categorized as no pathogens or rich or sparse growth of Staph. aureus: rich growth of Staph. aureus vs. no pathogens, HR = 2.1 (P < 0.01); sparse growth of Staph. aureus vs. no pathogens, HR = 1.56 (P = 0.07); first parity vs. third or later parities, HR = 0.94 (P = 0.80); second parity vs. third or later parities, HR = 0.96 (P = 0.87); history of clinical mastitis, HR = 3.3 (P < 0.01); milk yield, HR = 1.04 (P < 0.01); and lnCMSCC, HR = 1.62 (P < 0.01). After lnCMSCC was omitted from the model, the estimated HR for rich [3.18 (P < 0.01)] and sparse [1.97 (P < 0.01)] growth of Staph. aureus continued to reflect an increased likelihood of culling among cows with milk cultures of >1,500 cfu/mL.
Case 3: Relationships Between Microbiological Diagnoses and Culling For All Reasons
The relationships between culling for all reasons and the covariates Staph. aureus, Strep. spp., CNS or other pathogens, no pathogens, parity, milk yield, lnCMSCC, and clinical mastitis history are reported in Table 6
. Specifically, the hazard of culling among Staph. aureus-positive cows was 30% higher than the hazard for cows negative upon microbiological milk culture. The hazard of culling was not increased among cows positive for Strep. spp. or CNS or other pathogens. Furthermore, relative to cows with no history of clinical mastitis, cows that had been treated for clinical mastitis previously were 72% more likely to be culled than herdmates with no recordings of the disease. Omitting lnCMSCC from the models did not provide significant estimates for the hazard of culling for all reasons in the milk culture categories: for Streptococcus spp., HR = 1.22 (P = 0.28), and for CNS or other pathogens, HR=1.13 (P = 0.38), whereas the HR for Staph. aureus was 1.47 (P < 0.01).
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| DISCUSSION |
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This study differs from previous reports in that a relatively higher proportion of Staph. aureus was found upon microbiological analysis (Wilson et al., 1997; Sargeant et al., 2001). This corresponds with the fact that Staph. aureus is the most predominant mastitis pathogen in Norway and is estimated to be responsible for 47% of clinical cases of mastitis. For comparison, Strep. dysgalactie, CNS, and coliform bacteria were isolated in approximately 16, 8, and 7% of clinical cases, respectively (NDHRS, 2004).
The prevalence of positive milk cultures for Staph. aureus was higher in the present investigation as compared with a recent and comparable Finnish investigation (Pitkälä et al., 2004; Østerås et al., 2006). The difference in prevalence between the present study and the Finnish study was due to the fact that isolates with sparse growth of Staph. aureus were not reported in the latter (Pitkälä et al., 2004), whereas all isolates of Staph. aureus were included in our sampled material. This motivated us to investigate whether there are differences in the relationship of treatment of clinical mastitis and culling between isolates of rich and sparse growth of Staph. aureus that justify the practice of omitting the latter when the prevalence of Staph. aureus is reported. The 1,500-cfu/mL threshold value between rich and sparse growth of Staph. aureus was chosen because it is used in the official Norwegian procedure of the National Veterinary Institute (Aursjø et al., 1993).
Relationships Between Microbiological Diagnoses and Treatment of Clinical Mastitis, and the Joint Event of Either Treatment or Culling for Mastitis
The covariates of monthly milk yield, bimonthly lnCMSCC, previous clinical mastitis history, and parity were all obtained at cow level and microbiological analyses were conducted at quarter level. Because the NDHRS does not have records on treatment of clinical mastitis at quarter level, comparisons between microbiological diagnoses and treatment of clinical mastitis were conducted at cow level. This limitation should be taken into account when the findings of the study are interpreted. However, it could be argued that a significantly higher risk of infection from infected to uninfected quarters within cow may give reason for approaching the problem at cow level (Zadoks et al., 2001). Because reasons for culling were recorded by the farmer, and therefore possibly less accurate than veterinary diagnoses, the latter were preferred when likelihood of mastitis was assessed in the present investigation. However, to avoid the issue of informative censoring, analyses were also performed with mastitis defined jointly as either treatment or culling for the disease.
Staphylococcus aureus is the most frequently isolated mastitis pathogen in Norway (NDHRS, 2004), and its ability to cause subclinical IMI (Harmon, 1994) is well documented. An untreated subclinical infection might show clinical flare-ups at a later time (Swinkels et al., 2005). This could explain our finding that the likelihood of treatment of clinical mastitis was significantly higher among cows in which Staph. aureus was isolated compared with cows with a negative milk culture. Corresponding comparisons for cows in which pathogens other than Staph. aureus were isolated proved to be significant for Strep. spp. when lnCMSCC was removed from the model and the outcome was defined jointly as either treatment of clinical mastitis or culling for mastitis. These findings point toward the conclusion that even subclinical infection or a colonization of the teat canal and cistern with Staph. aureus may be followed by culling or treatment with appropriate antibiotic drugs. A similar tendency, although less pronounced, was observed also among Strep. spp., whereas the isolation of other pathogenic bacteria was less likely to be followed by treatment or culling.
Stage of lactation has been identified as an important risk factor for mastitis in dairy cows (Barkema et al., 1998; Zadoks et al., 2001); the analyses presented here adjust for factors such as milk yield, lnCMSCC, and history of clinical mastitis that vary throughout stage of lactation, in that each observation entered the risk set at the time of sampling for microbiological diagnosis. Previous studies have also shown that the diagnosis of mastitis pathogens is related to high milk yield and elevated SCC (De Haas et al., 2002, Gröhn et al., 2004). To improve the assessment of a cause-and-effect relationship between treatment of clinical mastitis and the covariates, we used values for milk yield and lnCMSCC obtained around the time of microbiological diagnosis. A potential problem in the present analyses is that values used for milk yield and lnCMSCC in the present analyses were not obtained at the event time, but rather the most recent available value was used. This "last value carried forward" approach provides potential for biased estimates (Prentice, 1982). However, modeling these longitudinal processes in a joint longitudinal and survival framework will alleviate such biases. We are currently developing statistical models that address these issues. In particular, we are investigating varying coefficient models (Hastie and Tibshirani, 1993) and models for the joint analysis of longitudinal and time to event data (Tsiatis and Davidian, 2004).
We have not been able to adjust for episodes of subclinical or clinical IMI before microbiological sampling when previous treatments have not been recorded. In those cases, measures of milk yield and lnCMSCC might be more closely related to previous clinical mastitis history rather than predisposing for a positive milk culture. However, as a whole, the present investigation demonstrated that elevated milk yield and lnCMSCC at the time of microbiological sampling are associated with treatment of clinical mastitis at a later point in time. Zadoks et al. (2001) also found the previous quarter SCC to be related to mastitis in the same quarter.
Previous treatment of clinical mastitis during the current or preceding lactation was highly predictive of recurrence of the disease in the present study. Similarly, it has been reported that previous IMI with Staph. aureus or Strep. uberis is predictive of recurrence of IMI caused by either bacteria at quarter level (Zadoks et al., 2001). In the same study, a significantly higher incidence rate of Strep. uberis mastitis was found among cows in the third or higher parity (Zadoks et al., 2001). This is in line with a numeric decrease in the hazard rate for mastitis as seen in the present study among cows in the first and second parity.
The likelihood of treatment of clinical mastitis was not increased for cows diagnosed with rich growth of Staph. aureus compared with cows in which no pathogens were isolated. A significant association was first found when the outcome variable was broadened to include cows culled for mastitis together with cows treated for clinical mastitis, and when lnCMSCC was omitted from the analyses. As confirmed in the analyses of culling for all reasons and culling for mastitis, cows with rich growth of Staph. aureus tended to be culled, and cows with sparse growth of the bacteria tended to be treated. The latter is particularly interesting in view of the fact that microbiological findings were not reported to the farmers. Thus, a significant number of cows with 1,500 colonies or less of Staph. aureus/mL of milk developed clinical mastitis after bacteriological sampling. Variation in the number of colony-forming units not only reflects the degree of IMI, but also indicates fluctuation in the shedding of the bacteria over time as described by Sears et al. (1990). The same study concluded that 40% of cows shedding an average of less than 1,000 cfu of Staph. aureus/mL would be missed by a single analysis based on inoculation of 0.01 mL of quarter milk. Deluyker et al. (2005) and Dingwell et al. (2003) have associated high shedding levels of Staph. aureus with poor prognosis after treatment during lactation and the dry period, respectively. This may explain why high-shedding cows are more likely to be culled than low-shedding cows.
Relationships Between Microbiological Diagnoses and Culling
Culling rates have been shown to be associated with parity (Gröhn et al., 1998), SCC (Caraviello et al., 2005; De Vliegher et al., 2005) and clinical mastitis (Gröhn et al., 1998; Neerhof et al., 2000). In agreement with previous reports (Gröhn et al., 1998), our study showed that overall culling rates were significantly lower for both first- and second-parity cows when compared with cows in the third or later parities. The parity differences were less pronounced when culling for mastitis was assessed separately. Increased lnCMSCC at the time of bacteriological sampling was related to a higher culling rate in the present investigation, which is reflected in other recent publications that have concentrated on SCC during the first 2 mo of lactation and culling of dairy heifers (De Vliegher et al., 2005). The proportion of cows culled because of udder health problems is in accordance with previous reports (De Vliegher et al., 2005). No relationship was found between milk yield at the time of bacteriological analysis and culling for all reasons after adjustment for microbiological diagnoses, parity, clinical mastitis history, and lnCMSCC at the time of bacteriological analysis, which is in contrast to earlier studies (Beaudeau et al., 1995; Gröhn et al., 1998; De Vliegher et al., 2005). The likelihood of culling for mastitis was significantly increased with higher milk production at the time of bacteriological sampling, which may indicate that cows high in milk were more susceptible for mastitis. High milk producers were also found to be more likely to be treated for clinical mastitis in the present study.
Staphylococcus aureus was associated with the likelihood of culling for all reasons and culling because of mastitis, whereas pathogens other than Staph. aureus were not associated with culling for all reasons. An association was found between Strep. spp. and culling because of mastitis, whereas other mastitis pathogens were not associated with culling for mastitis also after lnCMSCC was omitted from the analysis. These findings emphasize the importance of Staph. aureus as the primary causative agent for mastitis in Norway.
| CONCLUSIONS |
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| ACKNOWLEDGEMENTS |
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Received for publication November 10, 2005. Accepted for publication February 28, 2006.
| REFERENCES |
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