Mediation and moderation of the effects of watching the angiography screen on patients

It has been reported that allowing patients to watch the coronary angiography screen during the procedure results in psychological benefits. This study aimed to investigate the roles of illness perceptions as mediators of this outcome and to examine whether individual differences in monitoring coping style moderated these effects. The experiment compared patients who were instructed to watch the monitor screen (n = 57) with those who were not (n = 51). Questionnaires were used to measure the research variables at one day and one month after the procedure. Results showed that watching the angiography screen increased patients’ personal and treatment control perceptions that mediated changes in self-assessed health, risk perceptions, negative affect, general and diet outcome expectancies, and diet and physical activity intentions. The behavior-related outcomes were moderated by monitoring coping style. These findings illustrate the significance of illness perceptions, perceived control and monitoring coping style in achieving desirable outcomes among patients undergoing coronary angiography, and reveal opportunities for interventions using medical imaging technologies.     

The neural underpinnings of facial emotion recognition in ischemic stroke patients

Deficits in facial emotion recognition occur frequently after stroke, with adverse social and behavioural consequences. The aim of this study was to investigate the neural underpinnings of the recognition of emotional expressions, in particular of the distinct basic emotions (anger, disgust, fear, happiness, sadness and surprise). A group of 110 ischaemic stroke patients with lesions in (sub)cortical areas of the cerebrum was included. Emotion recognition was assessed with the Ekman 60 Faces Test of the FEEST. Patient data were compared to data of 162 matched healthy controls (HC’s). For the patients, whole brain voxel-based lesion–symptom mapping (VLSM) on 3-Tesla MRI images was performed. Results showed that patients performed significantly worse than HC’s on both overall recognition of emotions, and specifically of disgust, fear, sadness and surprise. VLSM showed significant lesion–symptom associations for FEEST total in the right fronto-temporal region. Additionally, VLSM for the distinct emotions showed, apart from overlapping brain regions (insula, putamen and Rolandic operculum), also regions related to specific emotions. These were: middle and superior temporal gyrus (anger); caudate nucleus (disgust); superior corona radiate white matter tract, superior longitudinal fasciculus and middle frontal gyrus (happiness) and inferior frontal gyrus (sadness). Our findings help in understanding how lesions in specific brain regions can selectively affect the recognition of the basic emotions.     

A Voxel-based lesion study on facial emotion recognition after circumscribed prefrontal cortex damage

Previous studies have shown inconsistent findings regarding the contribution of the different prefrontal regions in emotion recognition. Moreover, the hemispheric lateralization hypothesis posits that the right hemisphere is dominant for processing all emotions regardless of affective valence, whereas the valence specificity hypothesis posits that the left hemisphere is specialized for processing positive emotions while the right hemisphere is specialized for negative emotions. However, recent findings suggest that the evidence for such lateralization has been less consistent. In this study, we investigated emotion recognition of fear, surprise, happiness, sadness, disgust, and anger in 30 patients with focal prefrontal cortex lesions and 30 control subjects. We also examined the impact of lesion laterality on recognition of the six basic emotions. The results showed that compared to control subjects, the frontal subgroups were impaired in recognition of three negative basic emotions of fear, sadness, and anger – regardless of the lesion laterality. Therefore, our findings did not establish that each hemisphere is specialized for processing specific emotions. Moreover, the voxel-based lesion symptom mapping analysis showed that recognition of fear, sadness, and anger draws on a partially common bilaterally distributed prefrontal network.     

Attentional bias and anxiety in individuals with coronary heart disease

This study examined whether in an emotional Stroop task, individuals with coronary heart disease (CHD) would show greater attention towards the threatening words related to their disease than healthy persons, and if such an attentional bias is associated with anxiety. An emotional Stroop task with threatening words related to CHD as well as positive, negative and neutral words was administered to 35 individuals with CHD and 35 healthy controls. Additionally, the original Stroop task, the Beck anxiety inventory and the state-trait anxiety inventory were administered. The results indicated an attentional bias towards threatening words related to CHD in the individuals with CHD. They experienced higher interference than healthy participants from threatening words related to CHD but not from positive or negative words. Moreover, the level of interference was associated with their level of anxiety, and a vicious circle may exist in this association. In addition, results indicated a possible deficit of executive functioning among individuals with CHD. Attentional bias, as well as its association with anxiety, and an indication of deficit in executive functioning among individuals with CHD might be the risk factors for these individuals’ quality of life and for further development of their disease.     

The relationship between religion and cardiovascular outcomes and all-cause mortality in the women's health initiative observational study

Some studies suggest that religiosity may be related to health outcomes. The current investigation, involving 92,395 Women's Health Initiative Observational Study participants, examined the prospective association of religious affiliation, religious service attendance, and strength and comfort from religion with subsequent cardiovascular outcomes and death. Baseline characteristics and responses to religiosity questions were collected at enrollment. Women were followed for an average of 7.7 years and outcomes were judged by physician adjudicators. Cox proportional regression models were run to obtain hazard ratios (HR) of religiosity variables and coronary heart disease (CHD) and death. After controlling for demographic, socioeconomic, and prior health variables, self-report of religious affiliation, frequent religious service attendance, and religious strength and comfort were associated with reduced risk of all-cause mortality [HR for religious affiliation = 0.84; 95% confidence interval (CI): 0.75–0.93] [HR for service attendance = 0.80; CI: 0.73–0.87] [HR for strength and comfort = 0.89; CI: 0.82–0.98]. However, these religion-related variables were not associated with reduced risk of CHD morbidity and mortality. In fact, self-report of religiosity was associated with increased risk of this outcome in some models. In conclusion, although self-report measures of religiosity were not associated with reduced risk of CHD morbidity and mortality, these measures were associated with reduced risk of all-cause mortality.     

A New CBT Model of Panic Attack Treatment in Comorbid Heart Diseases (PATCHD): How to Calm an Anxious Heart and Mind

Treating anxiety comorbid with heart disease is challenging due to (a) diagnostic overlap between anxiety and heart disease, (b) the high risk associated with ignoring chest pain symptoms and delaying seeking medical attention, (c) that cognitive-behavioral therapy based on catastrophic misinterpretation of bodily symptoms requires adaption to incorporate the element of risk, and (d) that certain interoceptive symptom induction experiments may be harmful and are therefore fraught with liability. We describe Panic Attack Treatment in Comorbid Heart Diseases (PATCHD) that is based on enhancing coping skills, performing safe interoceptive exposures and supervised exercise, and countering avoidance to reduce panic attack frequency. Pre- and posttreatment data from 18 patients shows a significant reduction in cardiovascular hospital admissions and length of stay, panic attacks, general anxiety, and depression (all p < .05). Because of the complex nature of panic disorder comorbid with heart disease, health professionals should familiarize themselves with several necessary CBT adaptions.     

PCI术后患者的血糖管理

经皮冠状动脉介入治疗(PCI)已成为冠心病治疗及急性心肌梗死(AMI)血运重建的有效手段。取得令人满意的效果,而被临床广泛接受和应用。在冠心病患者中糖代谢异常发生率显著高于一般人群。有研究显示高血糖是引起冠状动脉支架再狭窄的独立危险因素。因此糖尿病患者PCI术后必须进行严格的血糖管理。根据目前研究结果,可能血糖目标定为餐前血糖7.8mmol/L,且随机血糖10.0mmol/L较为合适。     

冠状动脉搭桥术后再狭窄研究的思考

冠状动脉搭桥术(CABG)是目前外科治疗冠心病的成熟、定型的手术方法,但术后再狭窄影响了病人的远期疗效,其研究也越来越受到人们重视。随着生物医学模式向生物心理社会医学模式的转变,研究者对CABG术后再狭窄也有了更深入的认识,更加注重整体性、动态化和系统最优化。试用系统论方法探讨CABG术后再狭窄的防治。     

Consequences of brain tumour resection on emotion recognition

Emotion processing impairments are common in patients undergoing brain surgery for fronto-temporal tumour resection, with potential consequences on social interactions. However, evidence is controversial concerning side and site of lesions causing such deficits. This study investigates visual and auditory emotion recognition in brain tumour patients with the aim of clarifying which lesion sites are related to impairments in emotion processing from different modalities. Thirty-four patients were evaluated, before and after surgery, on facial expression and emotional prosody recognition; voxel-based lesion–symptom mapping (VLSM) analyses were performed on patients’ post-surgery MRI images. Results showed that patients’ performance decreased after surgery in both visual and auditory modalities, but, in general, recovered 3 months after surgery. In facial expression recognition, left brain-damaged patients showed greater post-surgery deterioration than right brain-damaged ones, whose performance specifically decreased for sadness and fear. VLSM analysis revealed two segregated areas in the left hemisphere accounting for post-surgery scores for happy (fronto-temporo-insular region) and surprised (middle frontal gyrus and inferior fronto-occipital fasciculus) facial expressions. Our findings demonstrate that surgical removal of tumours in the fronto-temporal region produces impairment in facial emotion recognition with an overall recovery at 3 months, suggesting a partially different representation of positive and negative emotions in the left and right hemispheres for visually – but not auditory – presented emotions; moreover, we show that deficits in specific expression recognition are associated with discrete lesion locations.     

Automatic skin lesions segmentation based on a new morphological approach via geodesic active contour

Automatic disease classification has been one of the most intensively searched in recent years due to the possibility of quickly providing a diagnosis to the patient. In this process, the segmentation of regions of interest of these diseases has a fundamental role in their subsequent classification. With skin lesions segmentation it is no different and in recent years many studies have achieved interesting results, becoming an important tool in aiding the medical diagnosis of skin diseases. In this work, a morphological geodesic active contour segmentation (MGAC) method is proposed with automatic initialization, using mathematical morphology which is a great partial differential equation approximation, with lower computational cost, no stability problems and fully automatic. The proposed method was tested in a stable and well-known dermoscopic images database provided by Pedro Hispano Hospital (PH2) and was compared with both methods that make use of machine learning or deep learning techniques such as fully convolutional networks (FCN), full resolution convolutional networks (FrCN), deep class-specific learning with probability based step-wise integration (DCL-PSI), and others, and also traditional methods like JSEG, statistical region merging (SRM), Level Set, ASLM and others. The MGAC showed good results in all similarity metrics compared in this work like Jaccard Index (86.16%), Dice coefficient (92.09%) and Matthew correlation coefficient (87.52%), and also achieves good results in sensitivity (91.72%), specificity (97.99%), accuracy (94.59%) and F-measure (93.82%). Thus, the proposed method presented better results in relation to all these metrics when compared to the traditional methods and still presented better results in relation to the methods that use machine learning or deep learning techniques in Jaccard Index, Dice coefficient and specificity. This confirm that the MGAC can efficiently segment skin lesions, presenting great potential to be applied in the aid of the medical diagnosis.