A multivariable assessment quantifying effects of cohort-level factors associated with combined mortality and culling risk in cohorts of U.S. commercial feedlot cattle.

Economic losses due to cattle mortality and culling have a substantial impact on the feedlot industry. Since criteria for culling may vary and may affect measures of cumulative mortality within cattle cohorts, it is important to assess both mortality and culling when evaluating cattle losses over time and among feedlots. To date, there are no published multivariable assessments of factors associated with combined mortality and culling risk. Our objective was to evaluate combined mortality and culling losses in feedlot cattle cohorts and quantify effects of commonly measured cohort-level risk factors (weight at feedlot arrival, gender, and month of feedlot arrival) using data routinely collected by commercial feedlots. We used retrospective data representing 8,904,965 animals in 54,416 cohorts from 16 U.S. feedlots from 2000 to 2007. The sum of mortality and culling counts for each cohort (given the number of cattle at risk) was used to generate the outcome of interest, the cumulative incidence of combined mortality and culling. Associations between this outcome variable and cohort-level risk factors were evaluated using a mixed effects multivariable negative binomial regression model with random effects for feedlot, year, month and week of arrival. Mean arrival weight of the cohort, gender, and arrival month and a three-way interaction (and corresponding two-way interactions) among arrival weight, gender and month were significantly (P<0.05) associated with the outcome. Results showed that as the mean arrival weight of the cohort increased, mortality and culling risk decreased, but effects of arrival weight were modified both by the gender of the cohort and the month of feedlot arrival. There was a seasonal pattern in combined mortality and culling risk for light and middle-weight male and female cohorts, with a significantly (P<0.05) higher risk for cattle arriving at the feedlot in spring and summer (March-September) than in cattle arriving during fall, and winter months (November-February). Our results quantified effects of covariate patterns that have been heretofore difficult to fully evaluate in smaller scale studies; in addition, they illustrated the importance of utilizing multivariable approaches when quantifying risk factors in heterogeneous feedlot populations. Estimated effects from our model could be useful for managing financial risks associated with adverse health events based on data that are routinely available.

Temporal distributions of respiratory disease events within cohorts of feedlot cattle and associations with cattle health and performance indices.

Bovine respiratory disease complex (BRDC), the most common cause of post-weaning disease in North American beef cattle, is a multifaceted process involving pathogen, host, environment, and management factors. Although the importance of describing and evaluating the timing of BRDC cases has been recognized, a formal analysis of the temporal patterns of BRDC has not been described in the literature. Our objectives were to classify within-cohort temporal patterns of BRDC cases during the first 100 days at risk, using operational data from commercial feedlots, and then to evaluate associations among temporal patterns and common cohort-level measures of feedlot performance and health, while controlling for common potential confounders. We used retrospective cohort-level and individual animal health data (2000-2008) from 10 U.S. feedlots. We defined cumulative distributions representing the timing of cases within cohorts using the daily percentage of cases relative to the total number of cases within a cohort. Ward's hierarchical clustering method was used to group cohorts exhibiting similar cumulative distributions of BRDC cases. Linear mixed models and generalized estimating equations then were used to determine associations between temporal patterns and economically important measures of cattle performance (mean daily weight gain, total days on feed, and carcass measures) and health (mortality risk and retreatment risk) outcomes, while accounting for possible confounding variables (gender, arrival month, arrival year, arrival weight, arrival risk classification, cumulative morbidity, and the feedlot itself). Cluster analysis identified seven different cohort-level temporal patterns of BRDC cases. Our independent variable of interest (temporal pattern) was associated with mean daily weight gain, total days on feed, and carcass weight, and the estimated effects were modified by arrival weight category and risk classification. Temporal patterns also were associated with USDA measures of carcass yield and quality that largely affect carcass price. We also found associations among temporal patterns and health outcomes (cumulative mortality and retreatment risk), and these effects were significantly modified by arrival weight and cumulative morbidity. Our results are the first to demonstrate that there are several temporal patterns of BRDC repeatedly observed among cohorts of feedlot cattle, and that these BRDC patterns may differentially affect cattle health and performance.

[Measurement of volume-rate parameters of pulmonary ventilation in infants using the SAV pneumotachograph]. / Meranie objemovo-rýchlostných parametrov ventilácie plúc u detí v dojcenskom veku pneumotachografom SAV.

The paper deals with methods and equipment for measuring pulmonary ventilation parameters in children of the lowest age category. Description and substantiation of the given method of the measurement itself on the Pneumotachograph SAV. Evaluation of the obtained results in the records and of the time courses of volume and air flow rate on a single-pen recorder is presented further the relations necessary for quantitative description of analogue signal processing from the pneumotachograph are given as well as the series of parameters obtained on examining 21 infants and their clinical evaluation. (Tab.1,Fig.2,Ref.7.).