Income compensation options and partial budget analysis following a reduction of antimicrobial sales at the veterinary practice level.

Over the years, the excessive consumption of antimicrobials (AM) by animals and humans has become a major concern at the global level, and several studies have highlighted the link between antimicrobial use (AMU) and antimicrobial resistance. Previous studies showed that, in Switzerland, every calf in the fattening process received in average seven days of AM treatment, and mainly oral group treatments. Therefore, policies to reduce the consumption of AM among veal calves should be implemented and promoted to decrease AM pressure on the microbiome. This study aimed to assess how a potential loss of income due to a reduction of AM prescriptions and sales in the Swiss veal calves sector could potentially be compensated. Partial budget models at the veterinary practice level were built to evaluate the effect on the net profit of veterinary practices, following four different national policy interventions that aim to reduce AM prescriptions for veal calves. The best-case scenarios resulted in a positive net profit. The scenarios assuming complete loss of profit from AM sales resulted in very low or negative net profit. Therefore, without financial support (e.g. through the government or other entities), veterinarians are likely to find it difficult to fully compensate the economic losses. At the practice level, income compensation mechanisms require a fundamental change of the business model. New model should be largely independent of pharmaceutical sales and should promote paid counselling on herd health management.

Antimicrobial consumption: Comparison of three different data collection methods.

The increasing incidence of antimicrobial resistance represents a global threat. As a result, surveillance programmes monitoring antimicrobial consumption and resistance in animals have been implemented in several countries throughout the world. However, such programmes depend on the accurate and detailed collection of data on antimicrobial consumption. For this reason, the aim of this longitudinal study was to compare the consistency of data on antimicrobial consumption between three different data collection methods. Antimicrobial consumption data associated to udder health were collected from 20 veterinary practices and 92 dairy farms for 18 months. The compared data sources were: 1) data extracted from veterinary practice software 2) farm treatment journals and 3) on-farm discarded drug packages (garbage). Two different procedures were chosen to analyse the data issued from treatment journals: 1) only complete entries were analysed 2) entries with missing dosage were supplemented with the information provided by the Swiss Compendium of Veterinary Medicinal Products. The antimicrobial data were divided into intramammary preparations used during lactation (IMM), intramammary preparations used for dry off (DRY) and systemic treatments (SYS). We compared the quantities of injectors (IMM and DRY), the quantities of active substances (SYS) and the treatment incidences (TI) for the defined daily dose (DDD) per 1000 cow-days (IMM and SYS) and the defined course dose (DCD) per 1000 cow-days (DRY). Additionally, the variety of antimicrobial products among the different data sources was compared. The highest quantity of antimicrobials for IMM, DRY and SYS could be collected with the software data. The lowest quantity was collected by using the data of the treatment journal with only complete entries. For IMM and DRY, software and garbage performed similar, with agreement on the number of injectors used in 56.1% of the analysed cases. The widest variety of intramammary antimicrobial preparations was found in the garbage whilst most systemic preparations were collected using software data. The results of the study show a lack of data consistency between the three different data sources. None of the methods was able to collect the integral antimicrobial consumption in the participating farms. Finally, the results emphasise the need to implement a standardised system to quantify and assess the antimicrobial consumption at veterinary practice and farm level.

Accurate quantification of fourteen normal bone marrow cell subsets in infants to the elderly by flow cytometry.

BACKGROUND: Studies of normal bone marrow (BM) cell composition by flow cytometry are scarce. Presently, we aimed to quantify 14 cell subsets from infants to elderly patients. METHODS: Cell subsets in BM samples from 180 individuals without morphologically abnormal leukocytes were analyzed using a single combination of eight antibodies: CD3/CD10/CD38/CD19/CD36/CD16/CD34/CD45. RESULTS: By comparison with the Holdrinet score, we first validated the immature granulocyte/neutrophil (IGRA/N) ratio as a readily obtainable criterion of BM sample purity in 145 cases. Then, the 115 highly pure samples were selected (IGRA/N ≥ 1.2) and analyzed according to age group. CD34+ myeloblasts became progressively more infrequent with age: median 1.4% in infancy to 0.5% in the elderly. Neutrophils increased: 10.7% to 22.8%; all other myeloid subsets, IGRA, eosinophils, basophils and monocytes remained stable: respectively 40.3% to 46.7%, 2.0% to 2.8%, 0.2% to 0.3%, and 4.4% to 5.0% throughout life. Erythroblasts were lower in children (8.4% to 10.3%) than in adults (12.5% to 15.1%). For lymphoid cells, hematogones and transitional B-cells decreased: 15.5% to 0.6% and 3.6% to 0.1%, respectively; mature lymphocytes remained stable: B-cells: 1.4% to 2.8%, T-cells: 5.8% to 8.7%, and NK-cells: 0.7% to 1.4%. Plasma cells varied slightly: 0.1% to 0.5%. Differences of about 40% were seen in moderately pure (IGRA/N: 0.5 to 1.2) BM samples. CONCLUSION: We thus provide the first values for 14 myeloid and lymphoid subsets characterizing BM cell composition in 5 age ranges. They should provide important information when screening patients for hematological disorders or abnormal bone marrow development. © 2018 International Clinical Cytometry Society.

One tube with eight antibodies for 14-part bone marrow leukocyte differential using flow cytometry.

BACKGROUND: Bone marrow analysis by flow cytometry is part of the routine diagnosis of hematological disorders in medical laboratories. Differential leukocyte count and identification of abnormal cell subsets is currently performed through morphological examination on bone marrow smears by skilled cytologists. In this work, we propose a single 8-color tube for providing equivalent information, using flow cytometry. METHODS: 99 bone marrow samples were classified into 2 groups, (i) 51 samples, obtained from either healthy donors (n = 4) or patients with various diseases at diagnosis or during remission that did not present a hematological malignancy (n = 47), and (ii) 48 pathological samples with quantitative and/or qualitative abnormalities. A panel of eight antibodies-CD3-FITC/CD10-PE/CD38-PerCP-Cy5.5/CD19-PECy7/CD36-APC/CD16-APC-H7/CD34-BV421/CD45-V500-was tested to identify the main cell subsets at different stages of maturation using a FACSCanto-II analyzer. RESULTS: We first proposed a strategy of sequential gating leading to the identification of 14 leukocyte subsets, that is, erythroblasts, monocytes, B-lymphoid cells from hematogones to plasma-cells (5 subsets), T- and NK-cells, polymorphonuclear cells (neutrophils, eosinophils, and basophils), myeloblasts and other immature granular cells. This approach was validated by comparing flow cytometry and microscopic morphological examination, both in cases of normal and abnormal samples. Interestingly, cell identification, and numeration by flow cytometry was easy to perform and highly reproducible. CONCLUSION: A very simple, rapid, and reproducible flow cytometric approach, using a combination of eight antibodies allows determination of the cellular composition of bone marrow with high precision. © 2016 International Clinical Cytometry Society.