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      Risk factors for post-weaning diarrhoea on piglet producing farms in Finland

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          Abstract

          Background

          Post-weaning diarrhoea (PWD) is a significant gastrointestinal disease in pigs. It is considered a multifactorial disease associated with proliferation of enterotoxigenic Escherichia coli in the intestinal tract of affected pigs. The aim of this study was to analyse risk factors related to the occurrence of PWD on Finnish piglet producing farms.

          Methods

          The data of a follow-up study of 73 conventional piglet producing farms was used in the case-control study. The selection of the 41 PWD case and 28 control farms was based on the use of antimicrobials for treating diarrhoea in weaned pigs and the answers related to the occurrence of diarrhoea after weaning in the questionnaire. Four intermediate farms were excluded from the statistical analysis.

          Altogether 39 factors related to herd characteristics, weaner pig management and pig health were studied. The median number of sows was 59.0 (IQR = 44.0; 74.5) and 52.5 (IQR = 36.8; 61.5) on the case and the control farms, respectively.

          The significances of the univariable associations between the explanatory variables and the outcome variable were tested, and in the multivariate analysis quasibinomial generalized linear models were applied.

          Results

          An increased risk of PWD was associated with the regimen of twice a day feeding and feed restriction after weaning ( P = 0.02; compared to feeding three or more meals a day or the use of ad libitum feeding) and with a higher number of sows on the farm ( P = 0.02; risk increasing with increasing number of sows). Automatic temperature control was associated with a decreased risk of PWD ( P = 0.03; compared to manual temperature control).

          Conclusion

          Twice a day feeding of newly-weaned pigs should be avoided if the amount of feed given is restricted. Variation in ambient temperature should be minimized in housing of newly-weaned pigs and this can be achieved by using automatic temperature control. With increasing number of sows in the herds the risk of PWD increases and more attention should be paid to prevention of post-weaning diarrhoea.

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          Most cited references56

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          Alterations in piglet small intestinal structure at weaning.

          D Hampson (1985)
          The small intestinal mucosa of 112 piglets aged between 21 and 32 days was examined to identify the effects on its structure of weaning and of consumption of creep food. In unweaned control pigs a gradual increase in crypt depth occurred with age, while villus height altered little. In contrast, weaned pigs showed a highly significant increase in crypt depth and an increase in the complexity of villus morphology with a dramatic reduction in villus height. Crypts elongated most in the distal small intestine, while the loss of villus height was greatest proximally. No inflammatory reaction was seen and the alterations were not influenced by consumption of creep food before weaning. This failed to support the hypothesis that hypersensitivity to dietary antigens is involved in the aetiology of such intestinal changes. The reduction in small intestinal absorptive area and the appearance of a less mature enterocyte population help to explain the increased susceptibility of the pig to diarrhoea and growth checks in the post-weaning period.
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            The effect of probiotic LSP 122 on the control of post-weaning diarrhoea syndrome of piglets.

            Post-weaning diarrhoea syndrome (PWDS) of piglets is caused mainly by enterotoxigenic Escherichia coli (ETEC) strains. A new in-feed probiotic, LSP 122 (Alpharma), containing viable spores of Bacillus licheniformis was tested for its efficacy to control PWDS in piglets in a low health-status farm, using four groups with a total of 256 weaned piglets for a 28-day period. One group (negative control) was offered antimicrobial-free and probiotics-free fed, one group was offered feed supplemented with 10(6)viable spores of Bacillus toyoi (Toyocerin(R)) per gram of feed and two groups were offered feed supplemented with 10(6)and 10(7)viable spores of B. licheniformis per gram of feed, respectively, and were compared with regard to the appearance of clinical signs, mortality, weight gain and feed conversion. The results showed that all groups supplemented with probiotics exhibited a reduced incidence and severity of diarrhoea. Mortality in all probiotic supplemented pigs was significantly lower compared with the negative control group (P<0.05). The evaluation of the weight gain data, as well as feed conversion ratio, indicated that the three treated groups performed remarkably better than the negative control group (P<0.05) and the group receiving the high inclusion of LSP 122 performed better than the two other groups receiving probiotics (P<0.05). No ETEC strains were detected on day 22 in the high inclusion of LSP 122 and Toyocerin groups as compared with the untreated control. It was concluded that the high dosage schedule of LSP 122, providing 10(7)viable spores of B. licheniformis per g of feed, is a very useful agent for the control of PWDS due to ETEC. Copyright 1999 Harcourt Publishers Limited.
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              An overview of techniques for dealing with large numbers of independent variables in epidemiologic studies.

              Many studies of health and production problems in livestock involve the simultaneous evaluation of large numbers of risk factors. These analyses may be complicated by a number of problems including: multicollinearity (which arises because many of the risk factors may be related (correlated) to each other), confounding, interaction, problems related to sample size (and hence the power of the study), and the fact that many associations are evaluated from a single dataset. This paper focuses primarily on the problem of multicollinearity and discusses a number of techniques for dealing with this problem. However, some of the techniques discussed may also help to deal with the other problems identified above. The first general approach to dealing with multicollinearity involves reducing the number of independent variables prior to investigating associations with the disease. Techniques to accomplish this include: (1) excluding variables after screening for associations among independent variables; (2) creating indices or scores which combine data from multiple factors into a single variable; (3) creating a smaller set of independent variables through the use of multivariable techniques such as principal components analysis or factor analysis. The second general approach is to use appropriate steps and statistical techniques to investigate associations between the independent variables and the dependent variable. A preliminary screening of these associations may be performed using simple statistical tests. Subsequently, multivariable techniques such as linear or logistic regression or correspondence analysis can be used to identify important associations. The strengths and limitations of these techniques are discussed and the techniques are demonstrated using a dataset from a recent study of risk factors for pneumonia in swine. Emphasis is placed on comparing correspondence analysis with other techniques as it has been used less in the epidemiology literature.
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                Author and article information

                Journal
                Acta Vet Scand
                Acta Veterinaria Scandinavica
                BioMed Central
                0044-605X
                1751-0147
                2008
                18 June 2008
                : 50
                : 1
                : 21
                Affiliations
                [1 ]Finnish Food Safety Authority Evira, Production Animal Health Unit, Mustialankatu 3, FI-00790 Helsinki, Finland
                [2 ]Finnish Food Safety Authority Evira, Risk Assessment Unit, Mustialankatu 3, FI-00790 Helsinki, Finland
                [3 ]Rural Advisory Centre of Southern Ostrobothnia, Huhtalantie 2, FI-60220 Seinäjoki, Finland
                [4 ]Finnish Food Safety Authority Evira, Pathology Unit, Mustialankatu 3, FI-00790 Helsinki, Finland
                Article
                1751-0147-50-21
                10.1186/1751-0147-50-21
                2481246
                18564407
                abf624dd-7811-4f16-bd4c-1151a6b8ec21
                Copyright © 2008 Laine et al; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 3 December 2007
                : 18 June 2008
                Categories
                Research

                Veterinary medicine
                Veterinary medicine

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