Validity of the Hospital Anxiety and Depression Scale and Patient Health Questionnaire-9 to screen for depression in patients with coronary artery disease.

Depression is common but frequently undetected in patients with coronary artery disease (CAD). Self-report screening instruments for assessing depression such as the Hospital Anxiety and Depression Scale (HADS) and the Patient Health Questionnaire-9 (PHQ-9) are available but their validity is typically determined in depressed patients without comorbid somatic illness. We investigated the validity of these instruments relative to a referent diagnostic standard in recently hospitalized patients with CAD.

Stable feature selection for clinical prediction: Exploiting ICD tree structure using Tree-Lasso

Modern healthcare is getting reshaped by growing Electronic Medical Records (EMR). Recently, these records have been shown of great value towards building clinical prediction models. In EMR data, patients' diseases and hospital interventions are captured through a set of diagnoses and procedures codes. These codes are usually represented in a tree form (e.g. ICD-10 tree) and the codes within a tree branch may be highly correlated. These codes can be used as features to build a prediction model and an appropriate feature selection can inform a clinician about important risk factors for a disease. Traditional feature selection methods (e.g. Information Gain, T-test, etc.) consider each variable independently and usually end up having a long feature list. Recently, Lasso and related l1-penalty based feature selection methods have become popular due to their joint feature selection property. However, Lasso is known to have problems of selecting one feature of many correlated features randomly. This hinders the clinicians to arrive at a stable feature set, which is crucial for clinical decision making process. In this paper, we solve this problem by using a recently proposed Tree-Lasso model. Since, the stability behavior of Tree-Lasso is not well understood, we study the stability behavior of Tree-Lasso and compare it with other feature selection methods. Using a synthetic and two real-world datasets (Cancer and Acute Myocardial Infarction), we show that Tree-Lasso based feature selection is significantly more stable than Lasso and comparable to other methods e.g. Information Gain, ReliefF and T-test. We further show that, using different types of classifiers such as logistic regression, naive Bayes, support vector machines, decision trees and Random Forest, the classification performance of Tree-Lasso is comparable to Lasso and better than other methods. Our result has implications in identifying stable risk factors for many healthcare problems and therefore can potentially assist clinical decision making for accurate medical prognosis.

Intervention-driven predictive framework for modeling healthcare data

Assessing prognostic risk is crucial to clinical care, and critically dependent on both diagnosis and medical interventions. Current methods use this augmented information to build a single prediction rule. But this may not be expressive enough to capture differential effects of interventions on prognosis. To this end, we propose a supervised, Bayesian nonparametric framework that simultaneously discovers the latent intervention groups and builds a separate prediction rule for each intervention group. The prediction rule is learnt using diagnosis data through a Bayesian logistic regression. For inference, we develop an efficient collapsed Gibbs sampler. We demonstrate that our method outperforms baselines in predicting 30-day hospital readmission using two patient cohorts - Acute Myocardial Infarction and Pneumonia. The significance of this model is that it can be applied widely across a broad range of medical prognosis tasks. © 2014 Springer International Publishing.

Understanding the experience of inpatient rehabilitation: insights into patient-centred care from patients and family members

The aim of the study was describe the experiences, needs and preferences of recent inpatients of a rehabilitation centre, and the needs of their families. Data were collected in four focus groups, two with patients (n = 13) who had recently completed inpatient rehabilitation following an illness, injury or elective surgery, and two with family members (n = 11). During the focus groups, two researchers facilitated discussion on any topic that participants considered important to the experience of inpatient rehabilitation; participants were encouraged to describe their care, needs and preferences. The focus group discussions were audio-taped and transcribed verbatim. Field notes were hand recorded. Data were analysed and collated into themes. Six key themes emerged. Participants wanted: interactions with friendly, empathetic staff; regular contact with senior staff and all staff to introduce themselves by name and profession; timely communication of accurate information; and rehabilitation services seven days a week. The physical environment had both positive and negative effects on patient well-being. Patients with complex or atypical circumstances required special attention to ensure their needs were met. In conclusion, patients and families identified six important issues that need to be considered during inpatient rehabilitation.

A shared framework for the common mental disorders and Non-Communicable Disease: key considerations for disease prevention and control.

BACKGROUND: Historically, the focus of Non Communicable Disease (NCD) prevention and control has been cardiovascular disease (CVD), type 2 diabetes mellitus (T2DM), cancer and chronic respiratory diseases. Collectively, these account for more deaths than any other NCDs. Despite recent calls to include the common mental disorders (CMDs) of depression and anxiety under the NCD umbrella, prevention and control of these CMDs remain largely separate and independent. DISCUSSION: In order to address this gap, we apply a framework recently proposed by the Centers for Disease Control with three overarching objectives: (1) to obtain better scientific information through surveillance, epidemiology, and prevention research; (2) to disseminate this information to appropriate audiences through communication and education; and (3) to translate this information into action through programs, policies, and systems. We conclude that a shared framework of this type is warranted, but also identify opportunities within each objective to advance this agenda and consider the potential benefits of this approach that may exist beyond the health care system.

Risk factors for coronary heart disease among Asian Indians living in Australia

The aim of this study was to assess the coronary heart disease risk factors in the Asian Indian community living in a large city in Australia. A cross-sectional survey was conducted at the Australia India Friendship Fair in 2010. All people of Asian Indian descent who attended the Fair and visited the health promotion stall were eligible to participate in the study if they self-identified as of Asian Indian origin, were aged between 18 and 80 years, and were able to speak English. Blood pressure, blood glucose, waist circumference, height, and weight were measured by a health professional. Smoking, cholesterol levels, and physical activity status were obtained through self-reports. Data were analyzed for 169 participants. More than a third of the participants under the age of 65 years had high blood pressure. Prevalence of diabetes (16%) and obesity (61%) was significantly higher compared with the national average. Ten women identified themselves as smokers. Physical activity patterns were similar to that of the wider Australian population. The study has provided a platform for raising awareness among nurses and promoting advocacy on the cardiovascular risk among Asian Indians. Strategies involving Asian Indian nurses and other Asian Indian health professionals as well as support from the private and public sectors can assist in the reduction of the coronary heart disease risk factors among this extremely susceptible population.

Effects of work-related sleep restriction on acute physiological and psychological stress responses and their interactions: A review among emergency service personnel

Emergency work can expose personnel to sleep restriction. Inadequate amounts of sleep can negatively affect physiological and psychological stress responses. This review critiqued the emergency service literature (e.g., firefighting, police/law enforcement, defense forces, ambulance/paramedic personnel) that has investigated the effect of sleep restriction on hormonal, inflammatory and psychological responses. Furthermore, it investigated if a psycho-physiological approach can help contextualize the significance of such responses to assist emergency service agencies monitor the health of their personnel. The available literature suggests that sleep restriction across multiple work days can disrupt cytokine and cortisol levels, deteriorate mood and elicit simultaneous physiological and psychological responses. However, research concerning the interaction between such responses is limited and inconclusive. Therefore, it is unknown if a psycho-physiological relationship exists and as a result, it is currently not feasible for agencies to monitor sleep restriction related stress based on psycho- physiological interactions. Sleep restriction does however, appear to be a major stressor contributing to physiological and psychological responses and thus, warrants further investigation.

Overview of cardiovascular risk in older people with diabetes: basic pathophysiology, risk factors and management

Increasing age is a risk factor for diabetes; consequently, diabetes is prevalent in older people. Older people with diabetes are at high risk of cardiovascular disease (CVD) and cardiovascular events, such as myocardial infarction and heart failure.Multiple pathological processes underlie CVD, including inflammation, oxidative stress, endothelial dysfunction, thrombosis and angiogenesis. These pathological processes are influenced by age, ethnicity, genetic makeup, obesity, hyperglycaemia,insulin resistance, dyslipidaemia, hypertension, renal disease, inappropriate diet and inactivity, which are components of the metabolic syndrome and CVD risk factors. The more risk factors present, the higher the risk of CVD. Significantly, vascular damage occurs slowly; therefore, it is essential to undertake a comprehensive vascular risk assessment and manage the risk early in life to improve the individual’soutcomes. Management strategies must be negotiated with the individual and appropriately tailored to their CVD risk and functional status, life expectancy and safety.

Improved risk predictions via sparse imputation of patient conditions in electronic medical records

Electronic Medical Records (EMR) are increasingly used for risk prediction. EMR analysis is complicated by missing entries. There are two reasons - the “primary reason for admission” is included in EMR, but the co-morbidities (other chronic diseases) are left uncoded, and, many zero values in the data are accurate, reflecting that a patient has not accessed medical facilities. A key challenge is to deal with the peculiarities of this data - unlike many other datasets, EMR is sparse, reflecting the fact that patients have some, but not all diseases. We propose a novel model to fill-in these missing values, and use the new representation for prediction of key hospital events. To “fill-in” missing values, we represent the feature-patient matrix as a product of two low rank factors, preserving the sparsity property in the product. Intuitively, the product regularization allows sparse imputation of patient conditions reflecting common comorbidities across patients. We develop a scalable optimization algorithm based on Block coordinate descent method to find an optimal solution. We evaluate the proposed framework on two real world EMR cohorts: Cancer (7000 admissions) and Acute Myocardial Infarction (2652 admissions). Our result shows that the AUC for 3 months admission prediction is improved significantly from (0.741 to 0.786) for Cancer data and (0.678 to 0.724) for AMI data. We also extend the proposed method to a supervised model for predicting of multiple related risk outcomes (e.g. emergency presentations and admissions in hospital over 3, 6 and 12 months period) in an integrated framework. For this model, the AUC averaged over outcomes is improved significantly from (0.768 to 0.806) for Cancer data and (0.685 to 0.748) for AMI data.

Novel protein and atenolol co-encapsulated nanocapsules to impede cardiomyocyte apoptosis

 The research conducted was based on regenerating the dying heart cells (cardiomyocytes) by employing novel therapeutic proteins and their respective co-encapsulated nanoformulation with an antihypertensive drug. This promising therapeutic strategy to revive the heart can help in the treatment of several cardiac pathologies such as myocardial infarction and drug induced cardiotoxicity.

Impact of bed rest on conduit artery remodeling: effect of exercise countermeasures

Physical inactivity is a potent stimulus for vascular remodeling, leading to a marked decrease in conduit artery diameter. However, little is known about the impact of physical inactivity on artery wall thickness or wall:lumen ratio or the potential of exercise countermeasures to modify artery wall thickness. The purpose of the study was to examine the impact of 60 days of bed rest, with or without exercise countermeasures, on carotid and superficial femoral artery wall thickness. Eighteen men were assigned to bed rest (second Berlin Bed Rest Study) and randomly allocated to control, resistive exercise, or resistive vibration exercise. Both exercise countermeasures were applied 3 times per week while the subjects were in the supine position on the bed. Sonography was used to examine baseline diameter and wall thickness of the carotid and femoral arteries. Bed rest decreased diameter of the superficial femoral artery (P=0.001) but not the carotid artery (P=0.29). Bed rest induced a significant increase in carotid and superficial femoral artery wall thickness (P=0.007 and 0.03) and wall:lumen ratio (P=0.009 and 0.001). Exercise prevented the increase in wall thickness of the carotid artery. In addition, exercise partly prevented the increased wall:lumen ratio in the superficial femoral artery. In conclusion, 8 weeks of bed rest resulted in approximately 20% increase in conduit artery wall thickness. Exercise countermeasures completely (carotid artery) or partly (superficial femoral artery) abolished the increase in wall thickness. These findings suggest that conduit artery wall thickness, a vascular characteristic associated previously with atherosclerosis, can rapidly adapt to physical inactivity and exercise in humans.

Cardiovascular alterations and management

This chapter reviews the support of cardiovascular function in the face of
many compromises to the system. It focuses on two of the most prevalent and fatal diseases affecting the heart: coronary heart disease and heart failure. These diseases are also a common comorbidity in elderly patients admitted to critical care units. The first section on coronary heart disease reviews the pathophysiological concepts of myocardial ischaemia and associated complications, with detailed consideration of the clinical implications, assessment and associated management. Heart failure is discussed in terms of the body’s compensatory mechanisms and the clinical sequelae and associated clinical features of heart failure. Nursing and medical management is outlined including the management of acute exacerbations of heart failure. Finally, other cardiovascular disorders commonly managed in critical care units are reviewed, ranging from other forms of heart failure to hypertensive emergencies and aortic aneurysms. The case study presented at the end of the chapter highlights the key aspects of the management of coronary heart disease and heart failure in patients admitted to critical care units.

Examining the prevalence of type-D personality in an Australian population

© 2015 The Australian Psychological Society. Objective: Type-D personality is a construct that describes a tendency to simultaneously experience negative emotions and inhibit self-expression for fear of negative social judgement. The link between type-D and poor health outcomes may be partly mediated by two prominent psychosocial mechanisms, poor-quality health-related behaviour and poor perceived-social support. Method: The present study replicated and extended a 2008 UK and Irish prevalence study, utilising a sample from the Australian general population. The study aimed to investigate the relationship between type-D personality and subjective levels of social support, health-related behaviours and neuroticism, as well as examining the estimated prevalence rate of type-D in the general Australian population. Nine hundred and fifty five Australian participants over the age of 18 (194 male and 761 female) completed four measures assessing levels of type-D personality, quality of health-related behaviours, perceived-social support and neuroticism. Results: As hypothesised, the estimated prevalence rate was not found to be significantly different from the rate obtained by Williams etal. (2008). In addition, type-D individuals reported significantly lower perceived-social support and poorer-quality health behaviours than non-type-D individuals. Conclusions: The results of this study provide further support for the association of type-D personality with poor health-related behaviours and poor perceived-social support, as well as demonstrating the applicability of the type-D construct to the Australian general population for the first time. General healthcare applications are discussed, as well as the potential for type-D personality research to influence public illness prevention in general.

Patients want to know about the 'cardiac blues'

BACKGROUND: Much attention has been given to identifying and supporting the minority of patients who develop severe clinical depression after a cardiac event. However, relatively little has been given to supporting the many patients who experience transient but significant emotional disturbance that we term the 'cardiac blues'. OBJECTIVE: The aim of this study was to investigate patients' preferences regarding information provision about cardiac blues. METHODS: One hundred and sixty consecutive cardiac patients admitted to two Victorian hospitals in Australia were interviewed three times over six months. They were asked about emotional issues, including information provision preferences. RESULTS: Four out of five (81%) patients would like to have received information about the cardiac blues, but only a minority received this information. CONCLUSION: Most patients want to know about cardiac blues. The development and evaluation of resources for health professionals and patients to support recovery through cardiac blues appears warranted.

Trends in referral to outpatient cardiac rehabilitation in the Hunter Region of Australia, 2002-2007

BACKGROUND: Cardiac rehabilitation (CR) is an underutilized evidence-based treatment. We described trends in referral to outpatient CR (OCR) and the factors associated with referral. DESIGN: Cross-sectional survey data provided by Hunter residents aged 20 years or older discharged from public hospitals in the region between 2002 and 2007 with an OCR eligible diagnosis were extracted from the Hunter New England Heart and Stroke Register database. METHODS: Trends in referral were determined using the chi test for trend. Factors associated with referral were examined using multiple logistic regression. RESULTS: Sixty-five percent (4971 of 7678) of patients provided sufficient data for inclusion in the analysis. Approximately half of the patients reported being referred to OCR. No increase over time was observed. Factors associated with referral were age less than 70 years, male sex, being married, urban residence, at least one admission to the tertiary referral hospital for cardiology, at least one admission for acute myocardial infarction, revascularization, no admissions for congestive heart failure, a self-reported history of high cholesterol, and no history of stroke or atrial fibrillation. CONCLUSION: Access to this treatment of proven benefit remained suboptimal despite the provision of new programs and expansion of existing programs. Automatic referral, which is recommended in Australia, should be standard practice.