Epidemiology and risk factors for mammary tumours in female cats

OBJECTIVES

This study aimed to estimate the incidence and risk factors for mammary tumours in female cats attending UK primary-care practices. The study hypothesised that middle-aged, intact and certain breeds are associated with increased mammary tumour risk.

MATERIALS AND METHODS

A case-control study design identified mammary tumour cases by assessment of electronic patient records, nested within a denominator population of 259,869 female cats attending 886 primary-care VetCompass participating veterinary practices in the UK in 2016.

RESULTS

From 2858 potential mammary tumour cases identified within the denominator, 270 cats met the case definition, giving an incidence risk of 104 per 100,000 (0.104%, 95% confidence interval 0.092 to 0.117%) during 2016. In the risk factor analysis increasing age, purebred compared to crossbred and veterinary group were associated with increased odds of mammary tumour. Median survival after the diagnosis of mammary tumour cats was 18.7 months.

CLINICAL SIGNIFICANCE

The current study provides an updated estimate of the incidence of mammary cancer in cats seen in primary care veterinary practice in the UK with increasing risk seen in older cats and with purebred status. This study can aid veterinary surgeons to identify cats at greater risk of mammary tumour and advise on survival after diagnosis.

Incidence and risk factors for feline lymphoma in UK primary-care practice

Objectives

The study aimed to estimate the incidence and prevalence of feline lymphoma in cats attending primary‐care practices across the UK and to identify patient‐based and environmental (radon and pesticide exposure) risk factors.

Materials and Methods

Case records from the VetCompass programme from primary‐care veterinary practices in the UK were searched for a diagnosis of lymphoma in cats in 2016. Cases were required to have had an external laboratory confirmed diagnosis based on cytology and/or histopathology. A nested case–control study design was used to identify risk factors for lymphoma using multivariable logistic regression.

Results

From a cohort of 562,446 cats under veterinary care at VetCompass participating practices in 2016, a total of 271 lymphoma cases were identified (prevalence: 48/100,000, 95% confidence interval (CI) 44 to 56/100,000; incidence 32/100,000, 95% CI 26 to 35/100,000). There were 180 incident lymphoma cases and 803 controls, all aged 2 years and older. Male (odds ratio (OR) 1.7, 95% CI 1.2 to 2.4), insured (OR 3.6, 95% CI 2.3 to 5.6) and older cats (compared to cats 2 to <5 years, OR 5.0, 95% CI 2.8 to 8.8) were associated with increased odds of lymphoma diagnosis. Vaccinated cats were associated with decreased odds (OR 0.7, 95% CI 0.5 to 1.0) compared to unvaccinated cats, although the type of vaccination received was not statistically significant. Breed and environmental factors studied were not associated with a diagnosis of lymphoma.

Clinical Significance

This is the first study to estimate the frequency and report risk factors for lymphoma in cats attending UK primary‐care practice.

Abstract P1-13-06: Safety of trastuzumab in the subcutaneous formulation for the treatment of HER2 positive early breast cancer (eBC) patients: Primary results of SCHEARLY trial

Background:: This study in Italian breast cancer patients is part of a phase IIIB, open-label, multinational umbrella study (UmbHER1), assessing the safety and tolerability of the subcutaneous (SC) formulation of Trastuzumab as primary end point. Present analysis is relative to the safety during the treatment period, with a major focus to side effects associated with the Trastuzumab SC administration.

Methods: Patients with HER2-positive eBC and LABC were eligible and included in two sequential cohorts: 120 patients treated with Trastuzumab SC by handheld syringe (Cohort A), and 120 with Trastuzumab SC by single-use injection device (SID, Cohort B). All the patients received adjuvant or neo-adjuvant treatment (clinician choice) with Anthracycline-containing regimens (FEC/EC/AC) followed by Trastuzumab SC in combination with taxanes (weekly Paclitaxel or Docetaxel) and then in monotherapy for a total of 18 cycles. Safety clinical and instrumental evaluations were planned at definite time points.

Results: 240 patients were enrolled and 202 patients (82.6% in cohort A and 84.9% in cohort B) completed the treatment. Reasons for discontinuation were the following: 7.9% AE/intercurrent illness, 3.3% withdrew consent, 1.7% recurrence of disease, 1.7% refused treatment, 0.9% violation of inclusion criteria, 0.9% other reasons. In the safety population, 98.2% of patients experienced at least one adverse event from the start of the Anthracycline treatment until the Safety Follow-up visit. Patients experiencing a Treatment Emergent (from Trastuzumab start date) AEs defined as Grade ≥3 were 26.8%; of these, 3.9% were considered related to study drug; Treatment Emergent Serious Adverse Events appeared in 7.5% of the safety population, of which 0.9% were considered related to study drug: one pleuropericarditis and one anaphylactic shock, both resolved.

The frequency of systemic administration-related reactions, ARRs (pyrexia 25%, erythema 20,2%, rash 7,0%, chest pain 7,0%, pruritus 6,6%, chills 1,3%, anaphylactic shock 0,9%) and local injection site reactions, ISRs (pain 6,6%, injection site reactions 3,9%, subcutaneous abscess 0,9%, administration site oedema 0,4%) potentially related to the subcutaneous formulation is cumulatively reported below.

 % all / G≥3% related to IMP% related cohort A% related cohort B% during Tax+Trast all/ G≥3% during Trast only all/ G≥3Systemic ARRs68,0 / 2,28,85,33,916.7 / 0.425.0 / 0.4Local ISRs21,9 / 0,97,04,81,36.6 / 0.43.1 / 0.0

The mean reduction of Left Ventricular Ejection Fraction (LVEF) at the end of 1 year treatment from screening was 2.9%. 8.8% of patients experienced a decrease in LVEF, in most cases defined related to study drug (18 patients out of 20); no cases of CHF were reported.

Conclusion: Local and systemic tolerability of subcutaneous Trastuzumab administration is good in both groups and there is no evidence of increased incidence and severity of IMP-related systemic side effects in comparison with the standard intravenous route.

Citation Format: Zambetti M, Montemurro F, Morandi P, Zamagni C, Stell A, Rozzi A, Gianni L. Safety of trastuzumab in the subcutaneous formulation for the treatment of HER2 positive early breast cancer (eBC) patients: Primary results of SCHEARLY trial [abstract]. In: Proceedings of the 2017 San Antonio Breast Cancer Symposium; 2017 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2018;78(4 Suppl):Abstract nr P1-13-06.

Prognostic factors in stage III-IV adrenocortical carcinomas (ACC): an European Network for the Study of Adrenal Tumor (ENSAT) study

BACKGROUND

The clinical course of advanced adrenocortical carcinoma (ACC) is heterogeneous. Our study aimed primarily to refine and make headway in the prognostic stratification of advanced ACC.

PATIENTS AND METHODS

Patients with advanced ENSAT ACC (stage III or stage IV) at diagnosis registered between 2000 and 2009 in the ENSAT database were enrolled. The primary end point was overall survival (OS). Parameters of potential prognostic relevance were selected. Univariate and multivariate analyses were carried out: model 1 'before surgery'; model 2 'post-surgery'.

RESULTS

Four hundred and forty-four patients with advanced ENSAT ACC (stage III: 210; stage IV: 234) were analyzed. After a median follow-up of 55.2 months, the median OS was 24 months. A modified ENSAT (mENSAT) classification was validated: stage III (invasion of surrounding tissues/organs or the vena renalis/cava) and stage IVa, IVb, IVc (2, 3 or >3 metastatic organs, including N, respectively). Two- or 5-year OS was 73%, 46%, 26% and 15% or 50%, 15%, 14% and 2% for stages III, IVa, IVb and IVc, respectively. In the multivariate analysis, mENSAT stages (stages IVa, IVb, or IVc, respectively) were significantly correlated with OS (P < 0.0001), as well as additional parameters: age ≥ 50 years (P < 0.0001), tumor- or hormone-related symptoms (P = 0.01 and 0.03, respectively) in model 1 but also the R status (P = 0.001) and Grade (Weiss >6 and/or Ki67 ≥ 20%, P = 0.06) in model 2.

CONCLUSION

The mENSAT classification and GRAS parameters (Grade, R status, Age and Symptoms) were found to best stratify the prognosis of patients with advanced ACC.

Early warning of EUSIG-defined hypotensive events using a Bayesian Artificial Neural Network

BACKGROUND

Hypotension is recognized as a potentially damaging secondary insult after traumatic brain injury. Systems to give clinical teams some early warning of likely hypotensive instability could be added to the range of existing techniques used in the management of this group of patients. By using the Edinburgh University Secondary Insult Grades (EUSIG) definitions for -hypotension (systolic arterial pressure <90 mmHg OR mean arterial -pressure <70 mmHg) we collected a group of ∼2,000 events by analyzing the Brain-IT database. We then constructed a Bayesian Artificial Neural Network (an advanced statistical modeling technique) that is able to provide some early warning when trained on this previously collected demographic and physiological data.

MATERIALS AND METHODS

Using EUSIG defined event data from the Brain-IT database, we identified a Bayesian artificial neural network (BANN) topology and constructed a series of datasets using a group of clinically guided input variables. This allowed us to train a BANN, which was then tested on an unseen set of patients from the Brain-IT database. The initial tests used a particularly harsh assessment criterion whereby a true positive prediction was only allowed if the BANN predicted an upcoming event to the exact minute. We have now developed the system to the point where it is about to be used in a two-stage Phase II clinical trial and we are also researching a more realistic assessment technique.

KEY RESULTS

We have constructed a BANN that is able to provide early warning to the clinicians based on a model that uses information from the physiological inputs; systolic and mean arterial pressure and heart rate; and demographic variables age and gender. We use 15-min SubWindows starting at 15 and 30 min before an event and process mean, slope and standard deviations. Based on 10 simulation runs, our current sensitivity is 36.25% (SE 1.31) with a specificity of 90.82% (SE 0.85). Initial results from a Phase I clinical study shows a model sensitivity of 40.95% (SE 6%) and specificity of 86.46% (SE 3%) Although this figure is low it is considered clinically useful for this dangerous condition, provided the false positive rate can be kept sufficiently low as to be practical in an intensive care environment.

CONCLUSION

We have shown that using advanced statistical modeling techniques can provide clinical teams with useful information that will assist clinical care.

Early warning of EUSIG-defined hypotensive events using a Bayesian Artificial Neural Network

BACKGROUND

Hypotension is recognized as a potentially damaging secondary insult after traumatic brain injury. Systems to give clinical teams some early warning of likely hypotensive instability could be added to the range of existing techniques used in the management of this group of patients. By using the Edinburgh University Secondary Insult Grades (EUSIG) definitions for -hypotension (systolic arterial pressure <90 mmHg OR mean arterial -pressure <70 mmHg) we collected a group of ∼2,000 events by analyzing the Brain-IT database. We then constructed a Bayesian Artificial Neural Network (an advanced statistical modeling technique) that is able to provide some early warning when trained on this previously collected demographic and physiological data.

MATERIALS AND METHODS

Using EUSIG defined event data from the Brain-IT database, we identified a Bayesian artificial neural network (BANN) topology and constructed a series of datasets using a group of clinically guided input variables. This allowed us to train a BANN, which was then tested on an unseen set of patients from the Brain-IT database. The initial tests used a particularly harsh assessment criterion whereby a true positive prediction was only allowed if the BANN predicted an upcoming event to the exact minute. We have now developed the system to the point where it is about to be used in a two-stage Phase II clinical trial and we are also researching a more realistic assessment technique.

KEY RESULTS

We have constructed a BANN that is able to provide early warning to the clinicians based on a model that uses information from the physiological inputs; systolic and mean arterial pressure and heart rate; and demographic variables age and gender. We use 15-min SubWindows starting at 15 and 30 min before an event and process mean, slope and standard deviations. Based on 10 simulation runs, our current sensitivity is 36.25% (SE 1.31) with a specificity of 90.82% (SE 0.85). Initial results from a Phase I clinical study shows a model sensitivity of 40.95% (SE 6%) and specificity of 86.46% (SE 3%) Although this figure is low it is considered clinically useful for this dangerous condition, provided the false positive rate can be kept sufficiently low as to be practical in an intensive care environment.

CONCLUSION

We have shown that using advanced statistical modeling techniques can provide clinical teams with useful information that will assist clinical care.

Trigger characteristics of EUSIG-defined hypotensive events

BACKGROUND

Hypotension is a recognized -secondary insult after traumatic brain injury (TBI). There are many definitions of hypotension, an often cited example being the Brain Trauma Foundation's current (2007) "Guidelines for the Management of Severe Traumatic Brain Injury," which defines hypotension as systolic pressure <90 mmHg. However, this same document declares "The importance of mean arterial pressure, as opposed to systolic pressure should also be stressed, …." Our work shows that when using the Edinburgh University Secondary Insult Grades (EUSIG) definitions, which require monitoring of both systolic and mean arterial pressures, that most hypotensive events are in fact triggered by a breach of the mean arterial level of 70 mmHg. We suggest that close monitoring of mean arterial pressure would enable clinical teams to avoid more potentially damaging hypotensive events.

MATERIALS AND METHODS

An analysis of 100 patients from the Brain-IT database was performed. Using the EUSIG definitions, 2,081 events can be obtained by analyzing the systolic and mean blood pressures on a minute by minute basis. A software program was written to identify and classify the trigger pattern for each event. A categorical analysis of these triggering patterns has been carried out.

KEY RESULTS

Our analysis shows that most events are triggered by a drop in mean arterial pressure. In fact a large number of events (91%) occur where the mean arterial pressure is below the threshold limits whereas the systolic pressure does not cross the 90 mmHg limit at all.

CONCLUSION

We suggest that more emphasis should be placed on closely monitoring mean arterial pressure as well as systolic pressure when trying to guard against hypotensive problems in traumatically brain injured patients. In future work we will study the underlying physiological mechanisms and attempt to further classify concomitant conditions that may be contributing to the onset of a hypotensive event.

Towards a virtual anonymisation grid for unified access to remote clinical data

Grid technologies provide an infrastructure through which, amongst other things, data access and integration is facilitated across highly distributed and heterogeneous resources. Different domains have their own requirements on the nature of this data access and integration. The clinical domain offers arguably the greatest challenges facing the roll-out and adoption of Grid technologies to meet the changing face of post-genomic clinical research, especially with regard to information governance, ethics and hence security solutions. This paper outlines a novel system design for secure anonymous data access and linkage that meets the needs of key stakeholders in this space including end user researchers, data providers and owners and ethical oversight bodies amongst others. We identify how existing solutions developed within the Medical Research Council funded Virtual Organisations for Trials and Epidemiological Studies (VOTES) project are being re-factored to meet the needs of these players and to address information governance criteria.

Genetik bei okulokutanem Albinismus

Albinism comprises a heterogeneous group of nonprogressive genetic disorders characterized by the absence of pigmentation in the skin, hair, and/or eyes. Hypopigmentation or complete lack of pigmentation is caused by an enzyme deficiency involving the production, metabolism, or distribution of melanin. Clinically, oculocutaneous and ocular types, as well as syndromes associated with albinism resulting from mutations in at least 14 genes, are distinguishable. Most frequent is oculocutaneous albinism (OCA), which is subdivided nowadays into four forms, OCA 1-OCA 4. OCA is inherited as an autosomal recessive trait. Clinical differentiation of OCA types is difficult due to the observed range of phenotypic variation. Thus, genetic analysis may be helpful with respect to a precise diagnosis. Sequencing of the four genes associated with OCA detects variations in approximately 60-70% of German patients with albinism. The majority of German patients are affected by OCA 1 resulting from mutations in the gene for tyrosinase, the key enzyme in the synthesis of melanin pigment. Worldwide, OCA2 is the most frequent form of albinism.

Multimodality imaging: novel pharmacological applications of reporter systems

The development of novel drugs is a lengthy process requiring years of preclinical research and many steps indispensable to ensure that the molecule of interest can be administered to humans with a minimal risk of toxic effects. Even a minimal reduction in the initial stages of drug development would result in a tremendous saving in time; therefore, pharmaceutical companies are eager to apply novel methodologies that shorten the time required for pharmacodynamic, pharmacokinetic and toxicological studies to be carried out in vitro and in animal systems. Currently, quantitative analysis of molecular events in living organisms is done with the combined application of imaging and genetic engineering technologies. In vivo imaging provides surrogate endpoints that can improve the identification of new drug candidates and speed up their research at preclinical stages. The integration of reporter systems in animal models of human diseases represents a reachable frontier that will dramatically advance drug development in terms of costs, time and efficacy. The present review outlines the applicability of imaging technologies for drug development and presents a panorama on the state of the art of currently available imaging technologies suitable for preclinical studies, with particular focus on bioluminescence and fluorescence as the methodologies of election.

Panniculitis associated with pancreatitis in a cocker spaniel

A 13-year-old, male cocker spaniel presented with a history of inappetence, depression and reluctance to stand. The dog had multiple, ulcerated skin lesions which were diagnosed as panniculitis by histopathology. A diagnosis of pancreatitis was made on the basis of markedly elevated serum lipase concentrations, abdominal ultrasonography which showed an abnormal lobulated area of hypoechoic tissue in the body and right lobe of the pancreas, and a fine needle biopsy from this area which revealed large numbers of degenerate neutrophils. After treatment with antibiotics and prednisolone, the dog made a full clinical recovery and was free of clinical signs for four months. The dog was euthanased five months later and postmortem examination revealed chronic, active pancreatitis and a pancreatic adenoma. This is the first report of antemortem diagnosis of pancreatitis and panniculitis in a dog.

Escherichia coli serotype O15:K52:H1 as a uropathogenic clone

To clarify the clinical and bacteriological correlates of urinary-tract infection (UTI) due to Escherichia coli O15:K52:H1, during a 1-year surveillance period we prospectively screened all 1, 871 significant E. coli urine isolates at the Hospital de la Santa Creu i Sant Pau, Barcelona, Spain, for this serotype and assessed the epidemiological features of community-acquired UTI due to E. coli O15:K52:H1 versus other E. coli serotypes. We also compared the 25 O15:K52:H1 UTI isolates from the present study with 22 O15:K52:H1 isolates from other, diverse geographic locales and with 23 standard control strains (8 strains from the ECOR reference collection and 15 strains of nonpathogenic O:K:H serotypes) with respect to multiple phenotypic and genotypic traits. Although E. coli O15:K52:H1 caused only 1.4% of community-acquired E. coli UTIs during the surveillance period, these UTIs were more likely to present as pyelonephritis and to occur in younger hosts, with similar risk factors, than were UTIs due to other E. coli serotypes. Irrespective of geographic origin, E. coli O15:K52:H1 strains exhibited a comparatively restricted repertoire of distinctive virulence factor profiles (typically, they were positive for papG allele II, papA allele F16, and aer and negative for sfa, afa, hly, and cnf1), biotypes, ribotypes, and amplotypes, consistent with a common clonal origin. In contrast, their antimicrobial resistance profiles were more extensive and more diverse than those of control strains. These findings indicate that E. coli O15:K52:H1 constitutes a broadly distributed and clinically significant uropathogenic clone with fluid antimicrobial resistance capabilities.