Application of behavior data to predictive exploratory models of metritis self-cure and treatment failure in dairy cows.

The objective was to evaluate the performance of exploratory models containing routinely available on-farm data, behavior data, and the combination of both to predict metritis self-cure (SC) and treatment failure (TF). Holstein cows (n = 1,061) were fitted with a collar-mounted automated-health monitoring device (AHMD) from -21 ± 3 to 60 ± 3 d relative to calving to monitor rumination time and activity. Cows were examined for diagnosis of metritis at 4 ± 1, 7 ± 1, and 9 ± 1 d in milk (DIM). Cows diagnosed with metritis (n = 132), characterized by watery, fetid, reddish/brownish vaginal discharge (VD), were randomly allocated to 1 of 2 treatments: control (CON; n = 62), no treatment at the time of metritis diagnosis (d 0); or ceftiofur (CEF; n = 70), subcutaneous injection of 6.6 mg/kg of ceftiofur crystalline-free acid on d 0 and 3 relative to diagnosis. Cure was determined 12 d after diagnosis and was considered when VD became mucoid and not fetid. Cows in CON were used to determine SC, and cows in CEF were used to determine TF. Univariable analyses were performed using farm-collected data (parity, calving season, calving-related disorders, body condition score, rectal temperature, and DIM at metritis diagnosis) and behavior data (i.e., daily averages of rumination time, activity generated by AHMD, and derived variables) to assess their association with metritis SC or TF. Variables with P-values ≤0.20 were included in the multivariable logistic regression exploratory models. To predict SC, the area under the curve (AUC) for the exploratory model containing only data routinely available on-farm was 0.75. The final exploratory model to predict SC combining routinely available on-farm data and behavior data increased the AUC to 0.87, with sensitivity (Se) of 89% and specificity (Sp) of 77%. To predict TF, the AUC for the exploratory model containing only data routinely available on-farm was 0.90. The final exploratory model combining routinely available on-farm data and behavior data increased the AUC to 0.93, with Se of 93% and Sp of 87%. Cross-validation analysis revealed that generalizability of the exploratory models was poor, which indicates that the findings are applicable to the conditions of the present exploratory study. In summary, the addition of behavior data contributed to increasing the prediction of SC and TF. Developing and validating accurate prediction models for SC could lead to a reduction in antimicrobial use, whereas accurate prediction of cows that would have TF may allow for better management decisions.

An artificial intelligence approach of feature engineering and ensemble methods depicts the rumen microbiome contribution to feed efficiency in dairy cows.

Genetic selection has remarkably helped U.S. dairy farms to decrease their carbon footprint by more than doubling milk production per cow over time. Despite the environmental and economic benefits of improved feed and milk production efficiency, there is a critical need to explore phenotypical variance for feed utilization to advance the long-term sustainability of dairy farms. Feed is a major expense in dairy operations, and their enteric fermentation is a major source of greenhouse gases in agriculture. The challenges to expanding the phenotypic database, especially for feed efficiency predictions, and the lack of understanding of its drivers limit its utilization. Herein, we leveraged an artificial intelligence approach with feature engineering and ensemble methods to explore the predictive power of the rumen microbiome for feed and milk production efficiency traits, as rumen microbes play a central role in physiological responses in dairy cows. The novel ensemble method allowed to further identify key microbes linked to the efficiency measures. We used a population of 454 genotyped Holstein cows in the U.S. and Canada with individually measured feed and milk production efficiency phenotypes. The study underscored that the rumen microbiome is a major driver of residual feed intake (RFI), the most robust feed efficiency measure evaluated in the study, accounting for 36% of its variation. Further analyses showed that several alpha-diversity metrics were lower in more feed-efficient cows. For RFI, [Ruminococcus] gauvreauii group was the only genus positively associated with an improved feed efficiency status while seven other taxa were associated with inefficiency. The study also highlights that the rumen microbiome is pivotal for the unexplained variance in milk fat and protein production efficiency. Estimation of the carbon footprint of these cows shows that selection for better RFI could reduce up to 5 kg of diet consumed per cow daily, potentially reducing up to 37.5% of CH4. These findings shed light that the integration of artificial intelligence approaches, microbiology, and ruminant nutrition can be a path to further advance our understanding of the rumen microbiome on nutrient requirements and lactation performance of dairy cows to support the long-term sustainability of the dairy community.

Complete genome sequence of the Microbacterium foliorum bacteriophage Garey24.

In this work, we report the discovery and characterization of Garey24, a bacteriophage that forms medium-size plaques with halo rings isolated from a soil sample in Funes, Argentina. Its 41,522 bp circularly permuted genome contains 63 putative protein-coding genes. Based on gene content similarity, Garey24 was assigned to subcluster EA1.

Validity and reliability of a localized nursing assessment guide for symptoms of anxiety and depression among admitted adult cardiac Filipino patients

@#One of the most commonly used tools by clinicians to identify cases of anxiety and depression in medically ill patients is the Hospital Anxiety and Depression Scale, or the HADS Filipino version. However, there were some “gray areas” with its use, particularly for those who are in the non-psychiatric setting. Some translated items may pertain to something else which could influence patients' responses. Furthermore, local studies showed differences in the conception, understanding, and expression of depression unique to Filipino culture and could be potentially missed during the assessment. This paper determined the validity and reliability of the Anxiety and Depression Symptom Assessment Guide or ADSAto a sample of 91 adult cardiac Filipino patients in the in-patient setting.@*@#In addition to the 29-item ADSAtool that was generated from HADS, the review of literature and other sources was also reviewed by experts from two rounds of Delphi Survey. It was written in a yes-or-no format and available in both English and Filipino versions. The tool was tested for internal consistency, intra-class and inter-item reliability. Another test used was criterion-based validity utilizing HADS to identify cases of anxiety and depression. The results showed that ADSAis highly reliable with Cronbach's alpha of 0.97, poor-to-moderate intra-class correlation (0.670 for anxiety, 0.440 for depression), and consistent/acceptable interitem correlation (0.528 for anxiety, 0.382). Both HADS and ADSAwere positively correlated with correlation coefficients of 0.667 and 0.391 (p-value<0.5) for anxiety and depression respectively. Using a cut-off score of 5, ADSA has moderate sensitivity and specificity of 72.5% and 78.4% for anxiety, and 66.7% and 64.3% for depression. Further research is needed to strengthen ADSA's validity by increasing the sample size and the multi-center sites.

A highly penetrant ACTA2 mutation of thoracic aortic disease.

BACKGROUND: The role of ACTA2 mutations in Familial Aortic Disease has been increasingly recognized. We describe a highly penetrant variant (R118Q) in a family with aortic disease. CASE REPORT: A patient presented to us for elective repair of an ascending aortic aneurysm with a family history of his mother expiring after aortic dissection. Genetic testing revealed he was a heterozygous carrier of the ACTA2 missense mutation R118Q. Subsequently, all living family members were tested for this variant and a full medical history was obtained to compile a family tree for the variant and penetrance of an aortic event (defined as lifetime occurrence of aortic surgery / dissection). In total 9 family members were identified and underwent genetic testing with 7/9 showing presence of the ACTA2 R118Q mutation or an aortic event. All patients over the age of 50 (n = 4) had an aortic event. Those events occurred at ages 54, 55, 60, and 62 (mean event at 57.8 ± 3.9 years). Three family members with the variant under the age of 40 have not had an aortic event and most are undergoing regular aortic surveillance via CT scan. CONCLUSIONS: Existing studies of known ACTA2 mutations describe a 76% aortic event rate by 85 years old. The R118Q missense mutation is a less common ACTA2 variant, estimated to be found in about 5% of patients with known mutations. Prior studies have predicted the R118Q mutation to have a slightly decreased risk of aortic events compared to other ACTA2 mutations. In this family, however, we demonstrate 100% penetrance of aortic disease above age 50. In today's era of excellent outcomes in elective aortic surgery, our team aggressively offers elective repair. We advocate for strict aortic surveillance for patients with this variant and would consider elective aortic replacement at 4.5 cm, or at an even smaller diameter in patients with a strong family history of dissection who are identified with this mutation.

Dhr96[1] mutation and maternal tudor[1] mutation increase life span and reduce the beneficial effects of mifepristone in mated female Drosophila.

Mating and receipt of male Sex Peptide hormone cause increased egg laying, increased midgut size and decreased life span in female Drosophila. Feeding mated females with the synthetic steroid mifepristone decreases egg production, reduces midgut size, and increases life span. Here, several gene mutations were assayed to investigate possible mechanisms for mifepristone action. Drosophila Dhr96 is a hormone receptor, and a key positive regulator of midgut lipid uptake and metabolism. Dhr96[1] null mutation increased female life span, and reduced the effects of mifepristone on life span, suggesting that Dhr96[1] mutation and mifepristone may act in part through the same mechanism. Consistent with this idea, lipidomics analysis revealed that mating increases whole-body levels of triglycerides and fatty-acids in triglycerides, and these changes are reversed by mifepristone. Maternal tudor[1] mutation results in females that lack the germ-line and produce no eggs. Maternal tudor[1] mutation increased mated female life span, and reduced but did not eliminate the effects of mating and mifepristone on life span. This indicates that decreased egg production may be related to the life span benefits of mifepristone, but is not essential. Mifepristone increases life span in w[1118] mutant mated females, but did not increase life span in w[1118] mutant virgin females. Mifepristone decreased egg production in w[1118] mutant virgin females, indicating that decreased egg production is not sufficient for mifepristone to increase life span. Mifepristone increases life span in virgin females of some, but not all, white[+] and mini-white[+] strains. Backcrossing of mini-white[+] transgenes into the w[1118] background was not sufficient to confer a life span response to mifepristone in virgin females. Taken together, the data support the hypothesis that mechanisms for mifepristone life span increase involve reduced lipid uptake and/or metabolism, and suggest that mifepristone may increase life span in mated females and virgin females through partly different mechanisms.

Targeted reproductive management for lactating Holstein cows: Reducing the reliance on exogenous reproductive hormones.

Adoption of automated monitoring devices (AMD) affords the opportunity to tailor reproductive management according to the cow's needs. We hypothesized that a targeted reproductive management (TRM) would reduce the use of reproductive hormones while increasing the percentage of cows pregnant 305 d in milk (DIM). Holstein cows from 2 herds (n = 1,930) were fitted with an AMD at 251.0 ± 0.4 d of gestation. Early-postpartum estrus characteristics (EPEC; intense estrus = heat index ≥70; 0 = minimum, 100 = maximum) of multiparous cows were evaluated at 40 (herd 1) or 41 (herd 2) DIM and EPEC of primiparous cows were evaluated at 54 (herd 1) or 55 (herd 2) DIM. Control cows received the first artificial insemination at fixed time (TAI; primiparous, herd 1 = 82 and herd 2 = 83 DIM; multiparous, herd 1 = 68 and herd 2 = 69 DIM) following the Double-Ovsynch (DOV) protocol. Cows enrolled in the TRM treatment were managed as follows: (1) cows with at least one intense estrus were inseminated upon AMD detected estrus for 42 d and, if not inseminated, were enrolled in the DOV protocol; and (2) cows without an intense estrus were enrolled in the DOV protocol at the same time as cows in the control treatment. Control cows were re-inseminated based on visual or patch aided detection of estrus, whereas TRM cows were re-inseminated as described for control cows with the aid of the AMD. Cows received a GnRH injection 27 ± 3 d after insemination and, if diagnosed as nonpregnant, completed the 5-d Cosynch protocol and received TAI 35 ± 3 d after insemination. Among cows in the TRM treatment, 55.8 and 42.9% of primiparous and multiparous cows, respectively, received the first insemination in spontaneous estrus. The interaction between treatment and parity affected pregnancy 67 d after the first AI (primiparous: control = 37.6%, TRM = 27.4%; multiparous: control = 41.0%, TRM = 44.7%). The TRM treatment increased re-insemination in estrus (control = 48.3%, TRM = 70.5%). Pregnancy 67 d after re-inseminations tended to be affected by the interaction between treatment and EPEC (no intense estrus: control = 25.3%, TRM = 32.0%; intense estrus: control = 32.9%, TRM = 32.2%). The interaction between treatment and EPEC affected pregnancy by 305 DIM (no intense estrus: control = 80.8%, TRM = 88.2%; intense estrus: control = 87.1%, TRM = 86.1%). Treatment did not affect the number of reproductive hormone treatments among cows that had not had an intense estrus (control = 10.5 ± 0.3, TRM = 9.1 ± 0.2 treatments/cow), but cows in the TRM treatment that had an intense estrus received fewer reproductive hormone treatments than cows in the control treatment (2.0 ± 0.1 vs. 9.6 ± 0.2 treatments/cow). Selecting multiparous cows for first AI in estrus based on EPEC reduced the use of reproductive hormones without impairing the likelihood of pregnancy to first AI. The use of AMD for re-insemination expedited the establishment of pregnancy among cows that did not display an intense estrus early postpartum.

Patent Ductus Arteriosus Exclusion Technique Using Thoracic Endovascular Aortic Repair.

A large patent ductus arteriosus is an uncommon discovery in an adult. A 2.7-cm patent ductus arteriosus was found in a 31-year-old man with heart failure symptoms. Owing to the size, an occluder device failed to prevent left-to-right shunting, and consideration was given for alternatives to percutaneous closure, including traditional open repair vs thoracic endovascular aortic repair (TEVAR). After a left carotid-subclavian artery bypass was performed, the patient underwent a zone 2 deployment of TEVAR graft. TEVAR exclusion is a useful technique in adults, particularly in the setting of a large or calcified ductus.

Rescue therapy for symptomatic spinal cord ischemia after thoracic endovascular aortic repair.

OBJECTIVE: Spinal cord ischemia (SCI) after thoracic endovascular aortic repair (TEVAR) can cause permanent neurologic deficits and poor long-term survival. Targeted treatment of new SCI symptoms after TEVAR (rescue therapy [RT]) might improve/resolve neurologic symptoms but few data characterize the association of specific interventions with SCI outcomes. We evaluated the effectiveness of post-TEVAR RT at our tertiary aortic center. METHODS: Our institutional TEVAR database was reviewed for SCI incidence and details of RT. This included cerebrospinal fluid drainage (CSFD), medical therapy, and optimization of spinal cord oxygen delivery. SCI outcomes were categorized at discharge as paralysis/paraparesis and temporary/permanent. RESULTS: Nine hundred forty-three TEVAR procedures were performed in 869 patients from 2011 to 2020. Post-TEVAR SCI occurred in 7.8% (n = 74) with permanent paraplegia in 1.5%. Older patient age, chronic obstructive pulmonary disease, and previous abdominal aortic surgery were predictive of SCI. Half (n = 37) of SCI episodes resulted in only temporary paralysis/paraparesis. Rescue postoperative cerebrospinal fluid drains were implanted in 3.7% (n = 35) of procedures and was predicted by higher American Society of Anesthesiologists class, lower serum hemoglobin level, elevated international normalized ratio, bilateral iliac artery occlusion, nonelective procedures, and penetrating atherosclerotic ulcer/intramural hematoma indication. The most commonly used RTs were emergent placement of or increased drainage from an existing cerebrospinal fluid drain (87.8%), induced/permissive hypertension (77.0%), corticosteroid bolus (36.5%), and naloxone infusion (33.8%). Neurologic improvement occurred in 68.9% (n = 51/74). New/increased drainage was associated with improved SCI outcome. CONCLUSIONS: Permanent paraplegia from post-TEVAR SCI is rare (1.5%). Older patients with comorbidities carry greater post-TEVAR SCI risk. SCI symptoms improved/resolved with CSFD and multimodal RT in 68.9% of patients, but no intervention was independently associated with improvement. TEVAR centers should have robust protocols for timely and safe CSFD placement to augment RT strategies for SCI.

Outcomes of acute type A aortic dissection during the COVID-19 pandemic: An analysis of the Society of Thoracic Surgeons Database.

PURPOSE: There have been reported reductions of hospital presentation for acute cardiovascular conditions such as myocardial infarction and acute type A aortic dissection (ATAAD) in the United States during the COVID-19 pandemic. This study examined presentation patterns and outcomes of ATAAD in North America immediately before, and during, the COVID-19 pandemic. METHODS: The Society of Thoracic Surgeons Adult Cardiac Surgery Database (STS ACSD) was queried to identify patients presenting with ATAAD in the 12 months pre-pandemic (March 2019-February 2020), and during the early pandemic (March through June 2020). Demographics and operative characteristics were compared using χ² test and Wilcoxon Rank-sum test. The median annual case volume designated low-volume centers versus high-volume centers (>10 cases per month). Step-wise variable selection was used to create a risk set used for adjustment of all multivariable models. RESULTS: There were 5480 patients identified: 4346 pre-pandemic and 1134 during pandemic. There was significantly lower volume of median cases per month during the COVID-19 pandemic period (286 interquartile range [IQR]: 256-306 vs. 372 IQR: 291-433,p = .0152). In historically low-volume centers (<10 cases per year), there was no difference in volume between the two periods (142 IQR: 133-166 vs. 177 IQR: 139-209, p = NS). In high-volume centers, there was a decline during the pandemic (140 IQR: 123-148 vs. 212 IQR: 148-224, p = .0052). There was no difference in overall hospital-to-hospital transfers during the two time periods (54% of cases pre-pandemic, 55% during). Patient demographics, operative characteristics, malperfusion rates, and cardiac risk factors were similar between the two time periods. There was no difference in unadjusted operative mortality (19.01% pre-pandemic vs. 18.83% during, p = .9) nor major morbidity (52.42% pre-pandemic vs. 51.24% during, p = .5). Risk-adjusted multivariable models showed no difference in either operative mortality nor major morbidity between time periods. CONCLUSIONS: For patients presenting to the hospital with ATAAD during the first surge of the pandemic, operative outcomes were similar to pre-pandemic despite a 30% reduction in volume. Out-of-hospital mortality from ATAAD during the pandemic remains unknown. Further understanding these findings will inform management of ATAAD during future pandemics.