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* GD Ltd., 7400 AA Deventer, The Netherlands
Quantitative Veterinary Epidemiology Group, Wageningen Institute of Animal Sciences Wageningen, 6700 AH Wageningen, The Netherlands
1 Corresponding author: m.holzhauer{at}gdvdieren.nl
| ABSTRACT |
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Key Words: digital dermatitis risk factor claw disorder epidemiology
| INTRODUCTION |
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The most important clinical symptoms of DD are lameness, lifting of the foot, and walking on the tip of the toe (Blowey and Sharp, 1988; Basset et al., 1990; Read and Walker, 1998a). A localized circumscribed dermatitis is present, which is painful at palpation (Blowey and Sharp, 1988). The animals are not systemically ill (Cornelisse et al., 1981; Dawson, 1999). Affected cows often have decreased milk production (Nutter and Moffit, 1990; van Amstel et al., 1995; Argaez-Rodriguez, et al., 1997) and deteriorated reproductive performance (Argaez-Rodriguez et al., 1997; Socha et al., 2002; Garbarino et al., 2004). Although it is known that lameness is currently the third most expensive disorder following mastitis and fertility disorders, the costs specifically associated with DD are not identified (Enting et al., 1997).
Digital dermatitis was first noticed in The Netherlands in 1980 as a sporadically occurring new claw lesion (Cornelisse et al., 1981). In later studies, DD was reported at a more endemic stage, whereby cow level prevalences were estimated at 11, 18, and 30% (Frankena et al., 1991; Smits et al., 1992; Somers et al., 2003).
In The Netherlands today, DD is commonly referred to as Mortellaro disease, but internationally it has several other names such as papillomatous DD (Read and Walker, 1998b; Rodrigues-Lainz, 1999; Wells et al., 1999), foot warts (Read and Walker, 1998b), strawberry foot rot, Italian foot rot, raspberry heel, hairy warts, hairy heel warts, hairy foot warts, or heel warts (Demirkan et al., 2000). Throughout this paper, the term DD will be used.
The main risk factors associated with DD found in Dutch and American studies were breed, stage of lactation, parity, herd size, housing system, purchase of heifers, trimming and footbath regimen, nutrition, and season. In the Dutch study of Frankena et al. (1991), the Holstein-Friesian breed was considered a risk factor in comparison with the Dutch Meuse Rhine IJssel breed (MRIJ). Both Dutch and American studies showed that first-parity cows were at higher risk for DD than were older cows (Frankena et al., 1991; Smits et al., 1992; Read and Walker, 1998a; Somers et al., 2005a). In these same studies, it appeared that lactating cows were at higher risk for DD than were dry cows. In the study of Frankena et al. (1991) it was also observed that cows at the top of production were at high risk for DD. In The Netherlands, a medium herd size (50 to 65 cows) appeared to be a risk factor for DD (Frankena et al., 1991). However, in the United States, large herds (>200 cows) appeared to be predisposed (Wells et al., 1999). In respect to housing, studies in The Netherlands and in the United States showed a rough floor as a risk factor for DD (Frankena et al., 1991; Wells et al., 1999; Somers et al., 2005a). Frankena et al. (1991) found a large distance between rail and wall in the cubicles as a predisposing factor. Both Frankena et al. (1991) and Somers et al. (2005a) found limited access to pasture as a risk factor. In the US study (Wells et al., 1999), it was concluded that the purchase of heifers was a risk factor for DD. In this same study, it appeared that cows trimmed by hoof trimmers who also operated on other farms were at higher risk. The effect of nutrition on DD has not been intensively studied. The Dutch study of Somers et al. (2005a) showed that a fast rise in concentrate uptake after calving was a risk factor for DD. Seasonal risk was observed in California, where the late spring and summer were risk periods.
The precise etiology of DD is not completely understood (Basset et al., 1990; Schroeder et al., 2003). Although several bacteria species are found in bacteriological examinations, the presence of the anaerobe spirochetes (specifically Treponema spp.) in the lesions is consistently found (Cornelisse et al., 1981; Blowey and Sharp, 1988; Döpfer et al., 1997; Read and Walker, 1998a, b; Demirkan et al., 1999; Murray et al., 2002; Trott et al., 2003). The disease is considered to be multi-factorial, and cow factors, management factors, and environmental factors play a role in its clinical occurrence (Frankena et al., 1991; Rodrigues-Lainz et al., 1996, 1999; Argaez-Rodriguez et al., 1997; Somers et al., 2005a).
The most effective treatment for DD is topical application of oxytetracycline or gentian violet aerosol spray (Cornelisse et al., 1981; Blowey and Sharp, 1988; Manske et al., 2002b). Footbaths with copper solution or formalin are also used for prevention and control. However, reports about the effectiveness of this measure are not consistent (Nutter and Moffit, 1990; Manske et al., 2002b). Improper footbath management could also facilitate the spread of DD (Zemljic, 2004). Specifically, infrequent refreshing of footbaths may give the causative organisms the opportunity to build up, thus facilitating spread between cows (van Amstel et al., 1995).
The objective of this cross-sectional study was to determine the herd- and the cow-level prevalence of DD in The Netherlands and to reidentify and quantify possible interrelated risk factors. This study is part of an overall aim to improve claw health of dairy cattle in The Netherlands based on prevention and good herd health management.
| MATERIALS AND METHODS |
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Hoof trimmers were requested to randomly select herds in which trimming of the whole herd occurred on a routine basis. Data collection was done with the consent of the farmer, and the farms could participate only once in the study. The herds were mainly located in the eastern and northern part of The Netherlands. About 90% of the study population consisted of pure-bred and crossbred Holstein-Friesian dairy cattle. Approximately 90% of the cows were housed in free stalls with a slatted floor.
Scoring for DD in this study was performed based on visual inspection, smell, and pain reactions of the cows based on the international standardized diagnosis as described by Espinasse et al. (1982); lesions were noted as absent or present on the hind claws. The hoof trimmers were trained by an expert of the Animal Health Service prior to recording to assure uniformity in scoring. In addition to DD, the presence of other lesions such as interdigital dermatitis/heel horn erosion (IDHE), sole hemorrhages, chronic laminitis, White Line Disease, sole ulcer, interdigital hyperplasia (HYP), and interdigital phlegmon (IP) was recorded.
Statistical Analysis
Individual cows for which information was missing were excluded from the analysis. Finally, 22,454 cows from 383 farms trimmed by 20 hoof trimmers remained for the risk factor analysis for DD.
The model building procedure consisted of several steps. The data were checked for missing values and typing errors using descriptive statistics (e.g., PROC MEANS, PROC FREQ, and PROC UNIVARIATE) in SAS 9.1 (SAS Institute, 2004). After this validation, a univariable analysis was conducted using the LOGISTIC procedure in SAS (2004). Table 1
shows all of the variables that were initially analyzed.
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0.05 was considered to be a significant association. The model was refitted, and the deviance difference was calculated to check whether deletion of the variable affected the model significantly. Second, in case a variable was removed from the model and the estimates of the other variables in the model changed >25% (or >0.1 if 0.4 < ß < 0.4), the removed variable was considered to be a confounder and was thus retained in the model (Frankena and Graat, 2001). Biologically logical interaction terms were added to the model and were tested by looking at the significance of the deviance difference when excluding the interaction from the model. This backwards procedure was repeated until only significant interactions remained in the model. No 3-way interactions were tested.
The observations were not necessarily independent, and a cluster effect of herd and hoof trimmer was possibly present. To test whether this hierarchical data structure was present, multilevel analysis using MLWIN 2.01 (2004) was performed. The binomial response model used a default quasi-likelihood procedure for estimation. To have the most accurate estimates, second-order Taylor expansion and PQL (penalized, predictive, quasi-likelihood) were used (MLWIN Users Guide, 2004).
Subsequently, associations between the remaining variables and the occurrence of DD were estimated using a generalized estimating equations model in PROC GENMOD (SAS Institute, 2004), which was corrected for clustering at the herd level. The selection of this population-averaged model instead of a random effect model was based on our interest in an effect across all herds instead of an interest in the individual herd.
To assess the goodness-of-fit of the logistic regression model, the Hosmer Lemeshow statistic was calculated in the LOGISTIC PROCEDURE in SAS (2004). Finally, the population-attributable fraction (PAF) from the predictor variables IDHE, HYP, and IP was calculated according to Bruzzi et al. (1985). The PAF is the fraction of the total disease prevalence in the population that would not have occurred if the risk factor of interest was absent. For the other predictor variables in the model, the PAF was not calculated because of the "fixed" nature of these variables. Formula 1 shows the formula for the calculation of the PAF adjusted for the other variables in the model:
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(proportion of all cases that are in stratum j).
| RESULTS |
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Risk Factors
In the final multivariable generalized estimating equations model, 9 (interacting) variables were significantly associated with DD (P < 0.05; Table 2
). Confounding was not present. The herd random effect, calculated in MLWIN 2.01 (2004), was significant, and its variance was estimated as 1.094 (SE = 0.095). A cluster effect from the hoof trimmers was not significant (variance = 0.115; SE = 0.065). The within-herd correlation based on the generalized estimating equations model was estimated as 0.11. The outcome of the Hosmer and Lemes-how statistic was not significant (
2 = 13.6; df = 8; P = 0.0935), implying that the logistic model fitted adequately.
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A positive association was found between other infectious claw disorders and DD. The presence of IDHE, HYP, and IP were all positively associated with the presence of DD. An interaction between HYP and herd size was present. The risk of having DD within the group of IDHE-affected animals slightly decreased with longer access to pasture.
If IDHE had not been present among the study population, 32.3% of the DD cases would not have been present. Approximately 9% of the DD cases would not have been present if HYP were not present. Although IP appeared to be strongly associated with DD (OR = 4.4), its PAF is low (1.1%) because of the low number of cases.
Management Factors.
Trimming policy had an effect on the presence of DD. It appeared that cows trimmed (during regular trimming of all dairy cows in a herd) >12 mo before the study were at lower risk than were cows trimmed at shorter intervals. Furthermore, animals that had >8 h access to pasture were at higher risk for DD (OR = 1.6) compared with no access to pasture. Finally, cows in small size herds (<45 cows) that were affected with HYP were at lower risk (OR = 0.6) of having DD than were cows in medium- or large-sized herds (60 to 85 cows per herd).
Other variables with regard to management and housing, such as floor type, free-stall bedding, use of manure scraper, use of footbath, herd size, purchase of heifers, and action taken when observing lameness, were not significantly associated with DD.
| DISCUSSION |
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The prevalence of DD in this study is lower than the prevalence in the study performed by Somers et al. (2005a) (27.3% in the pasture period and 28.5% in the housing period). The differences in results might be due to dissimilarity in the objective of the study, a slightly different study population, a different sampling period, and a distinct different background of the observers (hoof trimmers vs. individual investigator). In the study of Frankena et al. (1991), 8.1% (pasture period) and 13.8% (housing period) of the population were affected with DD. Smits et al. (1992) found a prevalence of 17.6% in zero-grazing cows. Although some differences in the diagnosis might have occurred, it is not likely that the increase in DD prevalence in the last decade in The Netherlands is solely due to improved diagnosis. The probability of infection might have truly increased because of prolonged housing periods.
Study Population and Data Collection
The average size of the herds in this study was 58.6 (SE = 1.1), which was comparable with the average of Dutch dairy farm (
= 56.3; Dutch Central Office for Statistics, 2003). Ninety-two percent of the cows in this study were housed in free stalls on slatted floors. The remaining cows were housed on partly solid concrete floors and other housing systems such as straw yards, which is comparable with the Dutch population of dairy herds (Braam and Swierstra, 1997).
Breed
The Holstein-Friesian breed was more susceptible to DD than the MRIJ breed, which agreed with the study of Frankena et al. (1991). It is generally accepted that the MRIJ breed suffers less from claw and leg disorders than the Holstein-Friesian breed (Grommers, 1967; Peterse, 1980).
Parity
The likelihood for DD generally decreased with increasing parity. This is in agreement with the results of Frankena et al. (1991), Smits et al. (1992), Read and Walker (1998b), Rodrigues-Lainz et al. (1999), and Somers et al. (2003, 2005a). The high OR in heifers could be explained by the metabolic and environmental changes before and after calving and the stress associated with this event (Frankena et al., 1991; Rodrigues-Lainz et al., 1999; Somers et al., 2005a). The decreasing risk for DD with increasing parity might be due to increased local immunity with age or culling of older affected cows (Frankena et al., 1991; Rodrigues-Lainz et al., 1999; Somers et al., 2005a). It is notable that second-parity cows in early lactation are at higher risk for DD than are heifers in early lactation. The reason for this result is not clear but might be related to different feeding or management strategies.
Stage of Lactation
Cows were at lower risk for DD when dried off (in first parity). This corresponded with findings of Frankena et al. (1991), Smits et al. (1992), Argaez-Rodriguez et al. (1997), Murray et al. (2002), and Somers et al. (2005a). They all concluded that cows in the dry period were less affected with DD than were lactating cows. Dry cows are generally fed another ration with a higher proportion of roughage, resulting in more solid feces. Accordingly, these cows are less exposed to wet and unhygienic conditions (Somers et al., 2005a). Another explanation might be an increase in pH of the feces because of the change in ration (less concentrates), causing a deteriorated environment for the survival of the infectious agents of DD.
Argaez-Rodriguez et al. (1997) found in their research that the highest risk for DD was in the first month of lactation. The results of our study, however, showed early lactation (0 to 30 DIM) as a nonsignificant factor (in comparison to >60 DIM). However, peak lactation (30 to 60 DIM) interacting with third parity was positively associated with DD (OR = 1.4). This is in agreement with the research of Frankena et al. (1991) who also concluded that cows at peak production (30 to 70 DIM) had a high risk for DD, which the researchers explained to be a result of greater susceptibility. The difference with the findings of Argaez-Rodriguez et al. (1997) might be related to dissimilar management or climatic circumstances.
Infectious Claw Disorders
The presence of other infectious claw disorders, such as IDHE and IP, increased the risk for DD. As in this study, the results of the epidemiological study of Manske et al. (2002a) showed that IDHE was strongly correlated with DD, suggesting that IDHE and DD might be both parts of the same process and share common causative mechanisms. These infections could also be facilitated by certain common (unhygienic) circumstances (Bargai, 1998). The correlation between HYP and DD offers support for the association between a chronic irritation of the skin and the development of HYP (Manske et al., 2002a). In addition, there are pathological indications that the infectious agent of IDHE also plays a role in the pathogenesis of DD (e.g., Koniarova et al., 1993; Blowey et al., 1994; Walker et al., 1995).
The results suggest that longer access to pasture slightly decreases the risk for DD in IDHE-affected cows. Somers et al. (2005b) also mentioned the preventive effect of grazing on the occurrence of IDHE, probably caused by reduced exposure to the unfavorable housing environment or spontaneous healing of small lesions on pasture, which might positively influence DD prevalence.
Based on the PAF, it was estimated that if IDHE, HYP, and IP were not present among the study population, respectively, 32, 9, and 1% of the DD cases would not have been present. Therefore, an effective intervention strategy against DD should not solely emphasize the prevention, treatment, or control of DD itself, but should also consider an integrated approach to the control of all infectious claw diseases.
Sole hemorrhages, chronic laminitis, White Line Disease, and sole ulcer were not associated with the occurrence of DD, which is explicable by the fact that these disorders are not infectious.
Herd Size
Cows in smaller herds (<45 cows) that were affected with HYP were at lower risk (OR = 0.6) for DD than were medium- and large-sized herds (60 to 85 cows per herd). This result might be explained by a presumably lower exposure level to pathogens in smaller herds (Frankena et al., 1991).
Access to Pasture
This research showed that >8 h access to pasture is positively associated with DD. In contrast, Frankena et al. (1991) and Somers et al. (2005a) showed a positive association between limited access to pasture and the occurrence of DD compared with free access to pasture. An explanation for the result in this study might be that the herdsman might decide to provide the cows with longer access to pasture when cows are experiencing claw disorders.
Claw Care Management
In this study, a long trimming interval (
12 mo) was negatively associated with DD. This result is in contrast to results from Rodrigues-Lainz et al. (1999) and Somers et al. (2005a), who concluded that a long interval between herd trimmings was positively associated with DD. There could be 2 reasons for the results in this study. First, hoof trimming might be used as a curative measure when the herd is experiencing an infection or when the herd has a history of claw infections. Second, the hoof trimmer might be a source of infection because of unwashed equipment between cows and farms (Wells et al., 1999). Therefore, the exposure increases with a shorter trimming interval. In the study of Wells et al. (1999), 48% of the cases of DD could have been prevented when the hoof trimmer did not also operate on other farms.
This study did not show evidence of an effect of housing system and free-stall bedding on the presence of DD, as mentioned by Peterse (1987), Frankena et al. (1991), Laven (1999), and Somers et al. (2003). Although studies in North and South America (Rodrigues-Lainz et al., 1996, 1999; Wells et al., 1999) showed the purchase of heifers as a strong predisposing factor for DD, this variable appeared to be nonsignificant in this study. Also, no effect of manure scraper was found in this study, which is in contradiction to the results of Somers et al. (2003) and Laven (1999). Furthermore, the use of a footbath did not have any association with DD. This disagrees with research from Rodrigues-Lainz et al. (1996, 1999) and Somers et al. (2005a).
Finally, it has to be kept in mind that a cross-sectional study is measuring the association between exposure and the diseases that are measured simultaneously. No conclusions of causality can be drawn, except for those factors that do no not change over time, such as breed.
| CONCLUSIONS |
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| ACKNOWLEDGEMENTS |
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Received for publication July 7, 2005. Accepted for publication October 4, 2005.
| REFERENCES |
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