Postpartum hair cortisol, dehydroepiandrosterone sulfate and their ratio in beef cows: Exploring association with parity and conception outcome

Hair steroid measurement has received increasing attention for monitoring hypothalamic-pituitary-adrenal axis function, as it offers the advantages of being noninvasive, fast, and able to indicate steroid concentrations over long periods. The objects of the study were to evaluate cortisol (C) and dehydroepiandrosterone sulfate (DHEA-S) hair concentrations and their ratio (C/DHEA-S) in beef cows from calving to 100 days (d) postpartum (pp) and to assess possible differences related to parity (primiparous vs multiparous) and conception outcome (pregnant vs not pregnant). Hair samples were collected from 6 primiparous and 5 multiparous pregnant beef cows by clipping the coat at calving (T0) and every 20 d for 5 times (T1-T5), collecting only the regrown hair. Starting from the 6th-week pp, cows were submitted to artificial insemination at spontaneous estrus; by 100 d pp, 7 cows were pregnant and 4 were not pregnant. Statistical analysis showed higher hair C concentrations in the 11 cows at calving (T0) compared to all the subsequent samplings except for T1, and higher C concentrations at T1 compared to T3, T4, and T5. These results indicate that hair C concentrations in beef cows are affected by sampling time, with a decrease from calving, as reported in other matrices. When exploring changes within parity groups, no differences were found in the multiparous among sampling times, while hair C concentrations at T0 and T1 tended to be higher than at T2 (0.01 ≤ p < 0.05) and were higher (p < 0.01) than in all the subsequent samplings (T3, T4 and T5) within the primiparous group. Higher hair C concentrations were found at T0 and T1 in the primiparous compared to multiparous (p < 0.01), suggesting that primiparous cows undergo a greater stress level before and around parturition compared to multiparous, probably due to the novelty of the calving experience. No differences were detected in C hair concentrations according to conception outcome (pregnant versus not pregnant) in each sampling time. Hair DHEA-S concentrations were neither affected by time nor by parity or conception outcome. Differences in the C/DHEA-S ratio were found at T1, with higher C/DHEA-S in the multiparous compared to primiparous cows (p < 0.001), and a tendency for higher ratio in the not pregnant compared to the pregnant (0.01 ≤ p < 0.05). These results support the choice of hair as a valuable biological matrix when investigating long-time periods such as postpartum in cows and suggest an enhanced immunoprotective effect of DHEA-S in the postpartum of primiparous cows, and in cows that get pregnant within 100 d postpartum.

Hair cortisol and dehydroepiandrosterone sulfate concentrations in healthy beef calves from birth to 6 months of age

Cortisol (C) and dehydroepiandrosterone (DHEA) are recognized as the main fetal steroids, and they are likely to influence fetal development and have long-term effects on newborn hypothalamic-pituitary-adrenal axis (HPA) function. DHEA is often measured as its sulfates and expressed as DHEA-S. Hair analysis represents a promising methodological approach for the non-invasive measurement of steroids, allowing for a retrospective analysis of the total exposure to steroids over time, and avoiding the influence of acute events or circadian fluctuations. Hair cortisol and DHEA concentrations have been investigated in cows, but no studies have been performed on calves. The object of this study was to evaluate hair cortisol (HC) and hair DHEA-S (HDHEA-S) concentrations in beef calves from birth to six months of age. Hair samples of 12 beef calves (seven males, five females) were firstly collected at birth (T1) and then every three weeks up to six months of age (T2-T10), collecting only the re-grown hair. HC and HDHEA-S were analyzed by radioimmunoassay (RIA). Calves sex, weight and APGAR score were registered immediately after birth. Statistical analysis revealed that both HC and HDHEA-S were influenced by sampling time (P < 0.001). HC concentrations were higher at T1 compared to all subsequent samplings (T2-T10, P < 0.01); HC concentrations were higher at T2 compared to T4-T10 (P < 0.01), while no further changes were detected from T3 onward. Higher HDHEA-S concentrations were registered at T1, T2 and T3 compared to all the other samplings (P < 0.01). No correlation was found between hair concentrations of both steroids and calf sex or birthweight. APGAR score was negatively correlated only with HC at birth (P < 0.05). These data demonstrate that C and DHEA-S are quantifiable in the hair of calves and are influenced by their age. The higher HC detected at birth (T1) probably reflects the high serum C concentrations present late in pregnancy and increased by the fetal HPA axis, by which parturition is initiated in cows. The highest HDHEA-S at birth (T1) in calves indicates that the largest amounts of DHEA and its sulfates are produced during fetal development. Moreover, the findings of higher HC at three weeks after birth and of higher HDHEA-S until six weeks after birth, suggest that C and DHEA secretion continues also beyond birth, and that these steroids could be involved in the events occurring during the challenging first weeks of age in the calf.

Iron status in dogs with myxomatous mitral valve disease

In humans, iron deficiency represents a relevant occurrence in heart failure (HF), with or without anaemia, and is associated with the worst outcome. Moreover, chronic kidney disease (CKD) is a well-known comorbidity of HF and is strongly associated with the risk of developing anaemia. The most common cause of HF in dogs is myxomatous mitral valve disease (MMVD). To the best of our knowledge, no studies have examined the iron status in dogs with HF, with and without CKD. The aim of this retrospective study was to evaluate the iron status in dogs affected by MMVD and how strong is the relation with HF. The retrospective study included 54 dogs with complete case records, echocardiography and laboratory analyses. Iron status was evaluated by measuring serum iron concentration (SIC), un- saturated iron binding capacity (UIBC), total iron binding capacity (TIBC), and percentage of saturation (%SAT). The prevalence of dogs showing low serum iron concentration (SIC) was 18% in the whole population, 33% in symptomatic patients, 100% in dogs with acute decompensated HF. No signif- icant differences in SIC, UIBC, TIBC and %SAT median values were found among dogs classi- fied in different ACVIM (American College of Veterinary Internal Medicine) classes, between symptomatic and non-symptomatic patients, and among IRIS (International Renal Interest Soci- ety) classes. Azotemic and non-azotemic patients presented a significant difference in SIC mean values (p=0.02). Generalised linear model (GLM) revealed that dogs with low SIC were at high- er risk of being included in a higher ACVIM class (OR=6.383, p-value=0.014). Log-rank analysis showed shorter survival in dogs with low SIC (p=0.020), multivariate Cox analysis revealed that only HF symptoms can affect survival.

96 Association between metabolic diseases and fertility of high-yielding dairy cows in a transition management facility using survival analysis and machine-learning models

This study aimed to evaluate the association between individual and multiple metabolic diseases (MD and MD+) diagnosed during the transition period (±3 wk relative to calving) and the probability of pregnancy until 210 days in milk (DIM) in Holstein-Friesian dairy cows. Disease and reproductive data from a dairy herd with 1946 calvings (n=542 primiparous and n=1404 multiparous cows) were analysed using a 1-year cohort. The recorded MD were milk fever, ketosis, displaced abomasum, retained placenta, metritis, twinning, and clinical mastitis. The association between the 210-DIM pregnancy risk and the MD was evaluated as MD cows (uncomplicated cases) v. MD+ cows (complicated cases) v. healthy cows (3 groups of cows). Univariable survival models were used to analyse the association of MD and MD+ with pregnancy until 210 DIM, accounting for parity. Univariable Cox proportional hazard models were used to quantify the relative risk of pregnancy per day. A hierarchically ordered decision tree and a random forest model were built to explore the importance of MD and parity on the pregnancy risk within the first 210 DIM. Parity affected the 210-DIM pregnancy risk (P&lt;0.001); therefore, all further analyses were stratified by parity. The incidence of MD and MD+ for primiparous and multiparous cows were 29 (n=159) and 9% (n=48), and 23 (n=317) and 11% (n=160), respectively. The overall 210-DIM pregnancy risk was 77% (n=415) for primiparous cows and 62% (n=879) for multiparous cows. Among healthy cows (no MD) the 210-DIM pregnancy risk was 80% (n=269) for primiparous cows and 82% (n=537) for multiparous cows. Conversely, the 210-DIM pregnancy risk for cows with MD or MD+ were 73 (n=116) and 63% (n=30) for primiparous and 48 (n=152) and 46% (n=74) for multiparous cows, respectively. Using the healthy cows as the reference, the 210-DIM hazard ratios for conception were 0.8 for MD [95% confidence interval (CI)=0.6-1.0; P=0.05] and 0.5 for MD+ (95% CI=0.4-0.8; P=0.005) for primiparous cows and 0.5 for MD (95% CI=0.4-0.6; P&lt;0.001) and 0.4 for MD+ (95% CI=0.3-0.6; P&lt;0.001) for multiparous cows. Parity had profound effect on the 210-DIM pregnancy risk. The hazard ratio for conception was reduced when a MD was complicated with another MD (MD+) in both primiparous and multiparous cows. Both the decision tree and random forest analysis also indicated that parity was the most influential variable reducing fertility among cows, followed by (in order of magnitude of effect) milk fever, displaced abomasum, ketosis, and clinical mastitis. Including multiple disease interactions into multivariable Cox proportional hazard models are highly likely to violate the proportional hazards assumption due to complex disease interactions. Machine-learning models represent a valid alternative to accommodate large datasets in the presence of missing values and intricate dependencies among explanatory variables.

Long-acting injectable antipsychotics and global functioning in north western italian public health service

Introduction

Long-acting injectable antipsychotics (LAI-APs) should be the first choice therapy in the treatment of schizophrenia, however their use in outpatient's psychiatric services remains limited.

Objective

Observational study in schizophrenic patients of the northwestern public health service.

Aim

To assess demographic and psychopathological features in patients treated with LAI haloperidol (H-LAI) and second-generation LAI antipsychotics (SG-LAI).

Methods

We recruited 105 schizophrenic patients upon LAI-APs treatment, and we assessed socio-demographic data, medical comorbidity, substances use, time from admission, treatment length, and per os augmentation therapies. All participants were assessed for global functioning and severity of illness by CGI-SCH and PSP, respectively.

Results

Of all patients, 52% were treated by H-LAI, 48% by SG-LAI. No statistical differences (P > 0.05) were found between the 2 groups for age, gender, other demographic variables, substances use, somatic comorbidities. Both groups were homogeneous for severity of illness (CGI-SCH score = 4.20 in H-LAI vs. 4.38 in SG-LAI) and global functioning (PSP score = 49.1 in H-LAI vs. 54.4 in SG-LAI). Compared with the H-LAI group, SG-LAI-treated patients were characterized by shorter time from admission (>10 yrs) and treatment length (>1 yr), and less frequent anticholinergic drug co-prescription. We counted only 6 LAI-APs treatments started in the last year.

Conclusions

Despite of the literature support, LAI-APs treatment for schizophrenia is still limited in our service. Our data suggest that SG-LAI-APs are used as first choice of LAI-APs treatment, although maintained for short time, while H-LAI are reserved to long-standing patients and are burdened by side effects needing anticholinergic treatment.

Disclosure of interest

The authors have not supplied their declaration of competing interest.

A New Proposed Protocol to Evaluate Anxiety, Depression and the Needs of Cancer Patients

Aims:

To examine the perceived needs by patients and radiotherapists using a modified by us version of the Camberwell Assessment of Need (CAN).

Methods:

We eliminated 4/22 areas of the CAN scale -ideated for psychotic patients- in order to adapt it to oncological subjects (naming it CANo). Each of the scale areas values: the existence of a specific need; the help received from care-givers; the help coming from social services; the completeness of the help received. CANo was administrated to 30 solid cancer subjects consecutively admitted in 2007 to the Radiotherapy Department of Novara Hospital (Italy), and to their respective treating radiotherapists. Patients with cognitive impairment were excluded. Patients were also administrated the following protocol: HADS (Hospital anxiety and depression scale); Paykel's list of stressful events; MBTI (Mayer-Briggs Type Indicator); EORTC QLQ-C30.

Results:

Anxiety and depression occurred at any level in 15/30 of cases. There was a significant correlation (Spearman coefficient: SC) between the numbers of needs on CANo scale and anxiety (SC:0.4; p=0.002) or depression (SC:0.48; p=0.006) levels. Higher scores in all functional EORTC scales corresponded to lower needs detected by CANo. Patient needs were perceived less important by patients themselves than their physicians (mean satisfied need scores: 1.87 vs. 3; unsatisfied need scores: 0.63 vs. 1.03). The staff overestimated patient physical health needs (7/30 vs 3/30), psychological distress (20/30 vs 5/30), relationship difficulties (9/30 vs 2/30), received information correctness (7/30 vs 2/30).

Conclusions:

The CANo scale may be useful to detect oncological patient needs and to improve the quality of care.

Study of the Correlations Between Theory of Mind, Symptoms and Personality Characteristics of a Non-Psychiatric Population

Aims:

A deficit in the theory of mind has been identified, although without univocal results, in various pathologies, such as schizophrenia, bipolar disorder and some personality disorders. Aim of the study was to evaluate, in a non- psychiatric population, the correlation of personological characteristics and symptoms with theory of mind and emotion recognition tasks.

Methods:

The following protocol was administrated to 130 voluntary students from Novara (Italy) School of Medicine: EPQ-R test for personality analysis; an intention-inferencing task for theory of mind (adapted from Happè's version); the emotion recognition test (adapted from Blair's version); and SCL-90 for symptoms evaluation. Spearman correlation coefficient (SC) was calculated; p< 0.05 was considered statistically significant.

Results:

No statistically significant correlations were found between the EPQ-R (psychoticism, estroversion and nevroticism) and theory of mind test scores. Better performances in the theory of mind test corresponded to lower scores in SCL-90 subscales: obsessive-compulsive disorder (SC:-0.248; p=0.004); depression (SC:-0.280; p=0.001); anxiety (SC:-0.276; p=0.001); hostility (SC:-0.178; p=0.042); phobic anxiety (SC:-0.197;p=0.025); paranoid ideation (SC:-0.191;p=0.03); and psychoticism (SC:-0.189; p=0.032). A lower capacity in the recognition of the happiness emotion corresponded to higher scores in the hostility (CS:-0.194; p=0.027) and phobic anxiety (CS:-0.211; p=0.016) SCL-90 subscales, while higher scores in the EPQ-R subscale psychoticism and somatisation SCL-90 subscales were respectively related to lower skills in the recognition of fear (CS:-0.226; p=0.01) and envy (CS:-0.193; p=0.028) emotions.

Conclusions:

Theory of mind skills seem independent from personological traits, but are inversely correlated to various symptomatological subscale scores. The recognition of specific emotions correlates selectively with various personological traits and symptomatological subscales.