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Objective: Discrepancies between patient reports during clinical evaluations and self-reported suicide ideation are of vital importance. We study the agreement in passive suicidal ideation between reports made by clinicians and patients' self-reports., Method: Wish of death in 648 outpatients was assessed by attending clinicians. Within 24 h after clinical evaluation, patients completed a self-report questionnaire in which they were asked whether they had no desire to live. We used cluster analysis to determine the clinical profile of a population of patients according to the concordance between reports made by clinicians and self-reported information., Results: A low level of agreement (kappa = 0.072) was found between clinicians and patients, as 56.4% ( n  = 366) of clinician reports classified as containing no death-related ideas although on self-report the patient did state that they had no desire to live. In this group containing discrepancies between the two reports, two clusters were found to have shared characteristics: female sex, middle age, cohabitation, active employment, no history of suicidal behavior, and diagnosis of neurotic, stress-related, and somatoform disorders. In a third, more severe cluster, patients self-reported sleep disturbances, less appetite, poor treatment adherence, and aggressiveness., Conclusions: We found low agreement between self-reports and clinician assessments regarding the death wish. Self-reporting may be useful in assessing suicide risk. HIGHLIGHTSLow agreement was found between self-reports and clinician assessments regarding passive suicidal ideation.Most patients in whom the clinician underestimated the risk of suicide were women.Our results suggest that clinicians require adequate documentation of suicidal risk assessment to identify the high-risk population.

To propose a new test to evaluate the autonomic nervous system in patients with syncope: Multimodal Monitoring for Diagnosis of Dysautonomia (MMDD). We included 21 patients with syncope (16 female, 6 male, mean age 43.5 years) and 21 with no-syncope subjects (15 female, 7 male, mean age 45.1 years) to perform a test of nine 2-min stages: four while resting and four during active testing of autonomic response. Transcranial-Doppler, electrocardiogram, and photoplethysmography blood pressure pulse-to-pulse monitoring, allow registering six variables from the Middle Cerebral Artery and four from the Cardiovascular System. We analyze each variable's mean differences in each stage and its change when they pass from one stage to another with the T and Z tests. To understand the significance of the change, we use a logistic regression model for a certain subgroup of variables. Since we have a small dataset, we use the bootstrap technique to infer the general behavior that characterizes a syncope. Our data confirm differences between syncope and non-syncope patients during MMDD stress stages 2, 4, 6 and 8. Bootstrap and multivariate logistic regression allow us to identify which sets of variables in each of these stages of the MMDD are sufficiently sensitive to recognizing syncope. MMDD protocol can recognize a syncope patient with some confidence by detecting subtle changes in the autonomic nervous system. This protocol encourages us to continue to study the effectiveness of MMDD protocol allowing a new approach to future research.

Introduction: Mental disorders represent the second cause of years lived with disability worldwide. Suicide mortality has been targeted as a key public health concern by the WHO. Smartphone technology provides a huge potential to develop massive and fast surveys. Given the vast cultural diversity of Mexico and its abrupt orography, smartphone-based resources are invaluable in order to adequately manage resources, services and preventive measures in the population. The objective of this study is to conduct a universal suicide risk screening in a rural area of Mexico, measuring also other mental health outcomes such as depression, anxiety and alcohol and substance use disorders., Methods and Analysis: A population-based cross-sectional study with a temporary sampling space of 9 months will be performed between September 2019 and June 2020. We expect to recruit a large percentage of the target population (at least 70%) in a short-term survey of Milpa Alta Delegation, which accounts for 137 927 inhabitants in a territorial extension of 288 km 2 .They will be recruited via an institutional call and a massive public campaign to fill in an online questionnaire through mobile-assisted or computer-assisted web app. This questionnaire will include data on general health, validated questionnaires including Well-being Index 5, Patient Health Questionnaire-9, Generalized Anxiety Disorder Scale 2, Alcohol Use Disorders Identification Test, selected questions of the Drug Abuse Screening Test and Columbia-Suicide Severity Rating Scales and Diagnostic and statistical manual of mental disorders (DSM-5) questions about self-harm.We will take into account information regarding time to mobile app response and geo-spatial location, and aggregated data on social, demographical and environmental variables. Traditional regression modelling, multilevel mixed methods and data-driven machine learning approaches will be used to test hypotheses regarding suicide risk factors at the individual and the population level., Ethics and Dissemination: Ethical approval (002/2019) was granted by the Ethics Review Board of the Hospital Psiquiátrico Yucatán, Yucatán (Mexico). This protocol has been registered in ClinicalTrials.gov. The starting date of the study is 3 September 2019. Results will serve for the planning and healthcare of groups with greater mental health needs and will be disseminated via publications in peer-reviewed journal and presented at relevant mental health conferences., Trial Registration Number: NCT04067063., Competing Interests: Competing interests: EBG designed the MeMind application., (© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)