Relationships among milk production, body condition score (BCS), body weight (BW), and reproduction were studied using logistic regression on data from 6433 spring-calving Holstein-Friesian dairy cows in 74 commercial herds. Multivariate models were adjusted for herd, breeding value for milk yield, proportion of Holstein-Friesian genes, lactation number, calving period, and degree of calving assistance. Significant associations between reproductive measures and components of energy balance were identified. Higher 200-d milk protein content and higher protein-to-fat ratio at start of breeding were associated with increased likelihood of submission for breeding in the first 21 d of the breeding season (SR21). High 100-d cumulative milk yield as a proportion of estimated 305-d milk yield (low persistency) was associated with a lower likelihood of pregnancy to first service (PREG1), whereas cows reaching peak milk yields earlier tended to have higher PREG1. Cows that reached nadir milk protein content relatively late in lactation had lower PREG1. Milk yield at first service and 305-d milk protein content were positively associated with the likelihood of pregnancy after 42 d of breeding (PR42). Higher 305-d milk lactose content was associated with increased PREG1 and PR42. Mean BCS at 60 to 100 d of lactation was positively associated with both SR21 and PR42, whereas nadir BCS was positively associated with PREG1. Cows with precalving BCS > 3.0 that also lost > 0.5 BCS unit by first service had lower PR42. More BW gain for 90 d after start of breeding was associated with higher SR21 and PREG1; more BW gain for 90 d after first service was associated with higher PR42. Milk protein and lactose content, BCS, and BW changes are important tools to identify cows at risk of poor reproduction.

BackgroundTo date, delirium prevalence and incidence in acute hospitals has been estimated from pooled findings of studies performed in distinct patient populations.ObjectiveTo determine delirium prevalence across an acute care facility.DesignA point prevalence study.SettingA large tertiary care, teaching hospital.Patients311 general hospital adult inpatients were assessed over a single day. Of those, 280 had full data collected within the study's time frame (90%).MeasurementsInitial screening for inattention was performed using the spatial span forwards and months backwards tests by junior medical staff, followed by two independent formal delirium assessments: first the Confusion Assessment Method (CAM) by trained geriatric medicine consultants and registrars, and, subsequently, the Delirium Rating Scale-Revised-98 (DRS-R98) by experienced psychiatrists. The diagnosis of delirium was ultimately made using DSM-IV (Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition) criteria.ResultsUsing DSM-IV criteria, 55 of 280 patients (19.6%) had delirium versus 17.6% using the CAM. Using the DRS-R98 total score for independent diagnosis, 20.7% had full delirium, and 8.6% had subsyndromal delirium. Prevalence was higher in older patients (4.7% if <50 years and 34.8% if >80 years) and particularly in those with prior dementia (OR=15.33, p<0.001), even when adjusted for potential confounders. Although 50.9% of delirious patients had pre-existing dementia, it was poorly documented in the medical notes. Delirium symptoms detected by medical notes, nurse interview and patient reports did not overlap much, with inattention noted by professional staff, and acute change and sleep-wake disturbance noted by patients.ConclusionsOur point prevalence study confirms that delirium occurs in about 1/5 of general hospital inpatients and particularly in those with prior cognitive impairment. Recognition strategies may need to be tailored to the symptoms most noticed by the detector (patient, nurse or primary physician) if formal assessments are not available.

Background:Body composition is an important predictor of drug toxicity and outcome. Ipilimumab (Ipi), a monoclonal antibody used to treat metastatic melanoma, has specific toxicities. No validated biomarkers that predict Ipi toxicity and efficacy exist. Also, the impact of Ipi on body composition has not been established.Methods:Patients with metastatic melanoma treated with Ipi between 2009 and 2015 were included. Body composition was assessed by computed tomography at baseline and after four cycles of Ipi. Sarcopenia and low muscle attenuation (MA) were defined using published cut-points. All adverse events (AEs) and immune-related AEs (irAEs) were recorded (Common Terminology Criteria For Adverse Event V.4.0).Results:Eighty-four patients were included in this study (62% male, median age 54 years). At baseline, 24% were sarcopenic and 33% had low MA. On multivariate analysis, sarcopenia and low MA were significantly associated with high-grade AEs (OR=5.34, 95% CI: 1.15–24.88, P=0.033; OR=5.23, 95% CI: 1.41–19.30, P=0.013, respectively), and low MA was associated with high-grade irAEs (OR=3.57, 95% CI: 1.09–11.77, P=0.036). Longitudinal analysis (n=59) revealed significant reductions in skeletal muscle area (SMA), total body fat-free mass, fat mass (all P<0.001) and MA (P=0.030). Mean reduction in SMA was 3.3%/100 days (95% CI: −4.48 to −1.79%, P<0.001). A loss of SMA ⩾7.5%/100 days (highest quartile) was a significant predictor of overall survival in multivariable Cox regression analysis (HR: 2.1, 95% CI: 1.02–4.56, P=0.046).Conclusions:Patients with sarcopenia and low MA are more likely to experience severe treatment-related toxicity to Ipi. Loss of muscle during treatment was predictive of worse survival. Treatments to increase muscle mass and influence outcome warrant further investigation.

Sarcopenia is prevalent in patients with mRCC, is an occult condition in patients with normal/high body mass index, and is a significant predictor of DLT in patients receiving sunitinib. Our results highlight the potential use of baseline body composition to predict toxicity.

Specific phobia, situational type-driving, induced by accident (accident phobia) occurs in 18-38% of those involved in a vehicular accident of sufficient severity to warrant referral to the emergency departments of a general hospital. The objective is to investigate, in an open study, the effectiveness of the combined use of computer generated environments involving driving games (game reality [GR]) and a virtual reality (VR) driving environment in exposure therapy for the treatment of driving phobia following a motor vehicle accident (MVA) program. Fourteen subjects who met DSM-IV criteria for Simple Phobia/Accident Phobia and were referred from the emergency department of a general hospital were exposed to a Virtual Driving Environment (Hanyang University Driving Phobia Environment) and computer driving games (London Racer/Midtown Madness/Rally Championship). Patients who experienced "immersion" (i.e., a sense of presence with heightened anxiety) in one of the driving simulations (defined as an increase in SUD ratings of 3 and/or an increase of heart rate > 15 BPM in a 1-h trial session of computer simulation driving) were exposed to a cognitive behavioral program of up to 12 1-h sessions involving graded driving simulation tasks with self-monitoring, physiological feedback, diaphragmatic breathing and cognitive reappraisal. Subjects were assessed at the beginning and end of therapy with measurements of: physiological responsivity (heart rate), subjective ratings of distress (SUD), rating scales for severity of fear of driving (FDI), Posttraumatic Stress Disorder (CAPS) and depression (HAM-D) and achievement of target behaviors. Of all patients 7/14 (50%) became immersed in the driving environments. This immersed group (n = 7) completed the exposure program. Pre- and post-treatment comparisons showed significant post treatment reductions on all measures SUDS (p = 0.008), FDI (p = 0.008), CAPS (p = 0.008), HR (p = 0.008), CAPS (p = 0.008), HAM-D (p = 0.031). Further analysis of the FDI showed significant reductions in all three subscales: travel distress (p = 0.008), travel avoidance (p = 0.008), and maladaptive driving strategies (p = 0.016). The findings of this study suggest that VR and GR may have a useful role in the treatment of driving phobia post-accident even when co-morbid conditions such as post-traumatic stress disorder and depression are present.