| Literature DB >> 27717350 |
Frederike Reichmann1, Annette Pfitzner2, Guenter Rademacher2, Elke Schwedinger3, Klaus Cussler3, Carola M Sauter-Louis2,4.
Abstract
BACKGROUND: Several research groups from different European countries have worked on the aetiopathogenesis of bovine neonatal pancytopenia (BNP) and an association between the use of the vaccine PregSure BVD (Pfizer, Germany) and the development of this haemorrhagic disease was confirmed. Because BNP is not a notifiable disease, it is difficult to obtain information on its incidence. Based on pharmacovigilance (PhV) data, which are the only officially available data at the national level, the incidence of BNP is considered low. However, voluntary reporting of the disease can lead to underreporting. To gain more insight into the incidence of BNP among the affected herds, an epidemiological study was performed, which focused on 243 farms in Germany with cases of BNP. Farmers were asked to report the occurrence of BNP, including the number of cases, which allowed calculation of incidence in the affected herds. Matching such data with the registered cases in the National PhV System (NPhVS) gave us an opportunity to assess the extent of BNP underreporting.Entities:
Keywords: BNP; Calf; Epidemiology; Haemorrhagic diathesis
Mesh:
Year: 2016 PMID: 27717350 PMCID: PMC5054546 DOI: 10.1186/s12917-016-0857-7
Source DB: PubMed Journal: BMC Vet Res ISSN: 1746-6148 Impact factor: 2.741
Fig. 1Geographical distribution of participating farms with bovine neonatal pancytopenia (BNP) (n = 243) The farms were listed in a database of the Clinic for Ruminants with Ambulatory and Herd Health Services at the Centre for Clinical Veterinary Medicine, LMU Munich (Oberschleissheim, Germany). At least one calf younger than four weeks of age was registered on each farm, with haemorrhagic diathesis that was confirmed as BNP by blood analysis and or necropsy
Fig. 2Number of observed cases of bovine neonatal pancytopenia (BNP) on 241 farms between 2005 and 2011. The study was finished on March 31, 2011. BNP cases that occurred afterwards in 2011 were not recorded. BNP cases of two farms are not shown, because the exact distribution of BNP calves over the years were not available
Fig. 3Number of farms that have observed a particular number of bovine neonatal pancytopenia (BNP) cases between 2005 and March 2011. One farm with 50 cases and another one with 80 are not included in the figure, because they are outliers
Fig. 4Within-herd incidence of bovine neonatal pancytopenia (BNP). The incidence was calculated using the number of BNP calves on 241 affected farms from January 1, 2005, to March 31, 2011. The rate ranged from 0.3 to 15.2 % (median 2.9 %). The incidence could not be calculated for two farms, because the exact distribution of BNP cases over the years was not available
Results of data matching between the Clinic for Ruminants with Ambulatory and Herd Health Services at the Centre for Clinical Veterinary Medicine, LMU Munich (Oberschleissheim, Germany), and the National Pharmacovigilance System (NPhVS): Comparison of bovine neonatal pancytopenia (BNP) farms and the number of BNP cases on those farms
| Federal State | Farms reported to the Clinic for Ruminants | Farms from the study registered at the NPhVS | Proportion of NPhVS-registered farms in % (Confidence Interval) | Total BNP cases on the farms of the LMU study | BNP cases on the farms of the LMU study registered at the NPhVS | Proportion of NPhVS-registered BNP cases in % (Confidence Interval) |
|---|---|---|---|---|---|---|
| Bavaria | 184 | 75 | 40.76 (33.92–47.98) | 759 | 248 | 32.67 (29.43–36.09) |
| Baden-Wuerttemberg | 12 | 10 | 83.33 (55.20–95.30) | 67 | 54 | 80.6 (69.58–88.29) |
| Brandenburg | 1 | 1 | 100.00 (20.65–100.00) | 6 | 6 | 100 (60.97–100.00) |
| Hesse | 5 | 4 | 80.00 (37.55–96.38) | 47 | 7 | 14.89 (7.14–27.69) |
| Lower Saxony | 1 | 0 | 0.00 (0.00–79.35) | 2 | 0 | 0.00 (0.00–65.76) |
| North Rhine-Westphalia | 26 | 14 | 53.85 (35.46–71.24) | 242 | 133 | 54.96 (48.66–61.1) |
| Mecklenburg-Vorpommern | 2 | 2 | 100.00 (34.24–100.00) | 39 | 32 | 82.05 (67.33–91.02) |
| Schleswig-Holstein | 6 | 3 | 50.00 (18.76–81.24) | 19 | 9 | 47.37 (27.33–68.29) |
| Rhineland-Palatinate | 6 | 0 | 0.00 (0.00–39.03) | 14 | 0 | 0.00 (0.00–21.53) |