Evaluation of sensor-based health monitoring in dairy cows: Exploiting rumination times for health alerts around parturition

The use of sensor-based measures of rumination time as a parameter for early disease detection has received significant attention in scientific research. This study aimed to assess the accuracy of health alerts triggered by a sensor-based accelerometer system within 2 different management strategies on a commercial dairy farm. Multiparous Holstein cows were enrolled during the dry-off period and randomly allocated to conventional (CON) or sensor-based (SEN) management groups at calving. All cows were monitored for disorders for a minimum of 10 DIM following standardized operating procedures (SOPs). The CON group (n = 199) followed an established monitoring protocol on the farm. The health alerts of this group were not available during the study but were later included in the analysis. The SEN group (n = 197) was only investigated when the sensor system triggered a health alert, and a more intensive monitoring approach according to the SOPs was implemented. To analyze the efficiency of the health alerts in detecting disorders, the sensitivity (SE) and specificity (SP) of health alerts were determined for the CON group. In addition, all cows were divided into 3 subgroups based on the status of the health alerts and their health status, to retrospectively compare the course of rumination time. Most health alerts (87%, n = 217) occurred on DIM 1. For the confirmation of diagnoses, health alerts showed SE and SP levels of 71% and 47% for CON cows. In SEN cows, a SE of 71% and 75% and SP of 48% and 43% were found for the detection of ketosis and hypocalcemia, respectively. The rumination time of the subgroups was affected by DIM and the interaction between DIM and the status of health alert and health condition.

Association between Rumination Times Detected by an Ear Tag-Based Accelerometer System and Rumen Physiology in Dairy Cows

Monitoring rumination activity is considered a useful indicator for the early detection of diseases and metabolic disorders. Accelerometer-based sensor systems provide health alerts based on individual thresholds of rumination times in dairy cows. Detailed knowledge of the relationship between sensor-based rumination times and rumen physiology would help detect conspicuous animals and evaluate the treatment's success. This study aimed to investigate the association between sensor-based health alerts and rumen fluid characteristics in Holstein-Friesian cows at different stages of lactation. Rumen fluid was collected via a stomach tube from 63 pairs of cows with and without health alerts (ALRT vs NALRT). Pairs were matched based on the day of lactation, the number of lactations, and health criteria. Rumen fluid was collected during and after health alerts. The parameters of color, odor, consistency, pH, redox potential, sedimentation flotation time, and the number of protozoa were examined. Results showed differences between both groups in odor, rumen pH, sedimentation flotation time, and protozoan count at the first rumen fluid collection. Within the groups, greater variations in rumen fluid parameters were found for ALRT cows compared to NALRT cows. The interaction between health alert and stage of lactation did not affect the rumen fluid parameters.

Response to the US FDA LeadCare Testing Systems Recall and CDC Health Alert

On May 17, 2017, the Food and Drug Administration issued a safety recall for the Magellan Diagnostics' LeadCare Testing Systems due to the potential for inaccurately low blood lead test results when used with venous blood samples. Concurrently, the Centers for Disease Control and Prevention (CDC) issued a health alert with retesting recommendations for specific high-risk populations. The purpose of the CDC retesting recommendations was to help identify high-risk individuals so that those potentially impacted by falsely low test results could be retested and receive appropriate follow-up care. The CDC's Lead Poisoning Prevention Program sought to understand how the recall and recommendations impacted state and local public health agencies. Childhood lead poisoning prevention programs (CLPPPs) in state and local public health agencies collect blood lead test results for children and had a lead role in identifying children for retesting. Case studies are presented that highlight the experiences of 4 state CLPPPs in responding to the recall and recommendations. Collectively, the case studies point to several lessons learned, including the importance of (1) having a well-functioning surveillance system in place prior to a serious incident; (2) having a clear understanding of the roles partners play in the continuum of care for children potentially exposed to lead; and (3) ensuring effective communications with all staff, both internal and external, to public health agencies that have a role in responding to a serious incident. The ability to respond to public health emergencies or other serious incidents takes the combined effort of federal, state, and local public health agencies as well as others in the health care delivery system. The CDC will continue to support state and local lead poisoning prevention programs so that they have the information and tools they need to address and prevent the health effects of lead exposures in communities.