Introduction Chronic pain (CP) is a complex multidimensional experience severely affecting individuals’ quality of life. Multiple cognitive, affective, emotional, and interpersonal factors play a major role in CP. Furthermore, the psychological, social, and physical circumstances leading to CP show high inter-individual variability, thus making it difficult to identify core syndrome characteristics. In a biopsychosocial perspective, we aim at identifying a pattern of psycho-physical impairments that can reliably discriminate between CP individuals and healthy controls (HC) with high accuracy and estimated generalizability using machine learning. Methods A total of 118 CP and 86 HC were recruited. All individuals were administered several scales assessing quality of life, physical and mental health, personal functioning, anxiety, depression, beliefs about medical treatments, and cognitive ability. These features were trained to separate CP from HC using support vector classification and repeated nested cross-validation. Results Our psycho-physical classifier was able to discriminate CP from HC with 86.5% balanced accuracy and significance ( p = 0.0001). The most reliable features characterizing CP were anxiety and depression scores, and belief of harm from prolonged pharmacological treatments; for HP, the most reliable features were physical and occupational functioning, and vitality levels. Conclusion Our findings suggest that, using psychological and physical assessments, it is possible to classify CP from HC with high reliability and estimated generalizability via (i) a pattern of psychological symptoms and cognitive beliefs characteristic of CP, and (ii) a pattern of intact physical functioning characteristic of HC. We think that our algorithm enables novel insights into potential individualized targets for CP-related early intervention programs.

According to the American Heart Association (AHA), primitive dilated cardiomyopathy (PDCM) is a "progressive dilation of the left or both ventricles and a depressed contractility in the absence of abnormal load conditions". It evolves in progressive heart-failure. The term "cardiogenic dementia" expresses the intimate connection between heart diseases and cognitive functions. The association between PDCM and the neuropsychological functions is unclear: the main pathophysiological hypotheses are cerebral hypoperfusion and cardiogenic emboli. The aim of this study is to evaluate the impact that the PDCM has on neuropsychological decline and to detect early echocardiographic markers of cognitive impairment. We enrolled 235 patients: 168 suffering from PDCM as sample group and 67 suffering from hypertensive dilated cardiomyopathy (HTCM) as control group. They underwent a cardiology examination and a neuropsychological assessment. A p<0.05 was considered significant. The two groups showed no differences in risk factors, demographic and cardiovascular parameters (except for dimensions of aortic root, left atrium and ventricle which appeared greater in PDCM and left ventricle ejection fraction that appeared lower in PDCM). Among administered neuropsychological tests, only the Stroop Test (which explores executive and attentive functions) appeared significantly lower in PDCM (p = 0.029). Moreover left ventricle end-diastolic diameter was inversely related to the Stroop Test Score (r= -0.32). PDCM doesn't appear to be at the basis of a generalized cognitive and neuropsychological decline. Only the executive functions seem impaired in PDCM. Left ventricle dilation seems to be associated to attentive and executive functions decline.

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Background Psycho-oncology literature pointed out that individual health outcomes may depend on patients’ propensity to adopt approach or, conversely, avoidant coping strategies. Nevertheless, coping factors associated with postoperative distress remain unclear, unfolding the lack of tailored procedures to help breast cancer patients manage the psychological burden of scheduled surgery. In view of this, the present study aimed at investigating: 1. pre-/post-surgery distress variations occurring among women diagnosed with breast cancer; 2. the predictivity of approach and avoidant coping strategies and factors in affecting post-surgery perceived distress. Methods N = 150 patients (mean age = 59.37; SD =  ± 13.23) scheduled for breast cancer surgery were administered a screening protocol consisting of the Distress Thermometer (DT) and the Brief-COPE. The DT was used to monitor patients’ distress levels before and after surgery (± 7 days), whereas the Brief-COPE was adopted only preoperatively to evaluate patients’ coping responses to the forthcoming surgical intervention. Non-parametric tests allowed for the detection of pre-/post-surgery variations in patients’ perceived distress. Factor analysis involved the extraction and rotation of principal components derived from the Brief-COPE strategies. The predictivity of such coping factors was investigated through multiple regression (Backward Elimination). Results The Wilcoxon Signed-Rank Test yielded a significant variation in DT mean scores (TW = -5,68 < -zα/2 = -1,96; p < .001) indicative of lower perceived distress following surgery. The four coping factors extracted and Varimax-rotated were, respectively: 1. cognitive processing (i.e., planning + acceptance + active coping + positive reframing); 2. support provision (i.e., instrumental + emotional support); 3. emotion-oriented detachment (i.e., self-blame + behavioral disengagement + humor + denial); 4. goal-oriented detachment (i.e., self-distraction). Among these factors, support provision (B = .458; β = − .174; t = − 2.03; p = .045), encompassing two approach coping strategies, and goal-oriented detachment (B = .446; β = − .176; t = − 2.06; p = .042), consisting of one avoidant strategy, were strongly related to post-surgery distress reduction. Conclusion The present investigation revealed that the pre-surgery adoption of supportive and goal-oriented strategies led to postoperative distress reduction among breast cancer patients. These findings highlight the importance of timely psychosocial screening and proactive interventions in order to improve patients’ recovery and prognosis.

BackgroundLeber’s hereditary optic neuropathy (LHON) associated with mutations in mitochondrial DNA (mtDNA) typically manifests only optic nerve involvement but in some patients may develop additional neurological complications. The cause of this association is not clear.Case presentationWe present a case of a 24-year-old male with a history of subacute, painless, and rapidly progressive bilateral vision loss. We performed ophthalmological, neurological and neuropsychological investigations in the proband and his LHON family. The proband showed optic neuropathy, epilepsy, migraine, and intellectual disability; all the maternal relatives did not manifest optic neuropathy but a moderate to severe intellectual disability. Genetic screening revealed a novel association of the LHON m.3460G > A primary mutation with the m.T961delT + C(n)ins within the mitochondrial encoded 12S RNA (MTRNR1) gene which segregates with the intellectual disability through the maternal branch of the family. We also found a significant increase of mtDNA content in all the unaffected homo/heteroplasmic mutation carriers with respect to either affected or control subjects.ConclusionThis is the first case reporting the co-segregation of a mutation in MTRNR1 gene with a LHON primary mutation, which may be a risk factor of the extraocular signs complicating LHON phenotype. In addition, the data herein reported, confirmed that the key factor modulating the penetrance of optic atrophy in the family is the amount of mtDNA.Electronic supplementary materialThe online version of this article (10.1186/s12881-018-0644-3) contains supplementary material, which is available to authorized users.