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Psychiatric comorbidity profiles among suicidal attempters: A cohort study
- Y. Sanchez-Carro, M. Diaz-Marsa, V. Fernandez-Rodrigues, W. Ayad-Ahmed, A. Pemau, I. Perez-Diaz, A. Galvez-Merlin, P. de la Higuera-Gonzalez, V. Perez-Sola, P. Saiz, I. Grande, A. Cebria, J. Andreo-Jover, P. Lopez-Peña, M. Ruiz-Veguilla, A. de la Torre-Luque
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- Journal:
- European Psychiatry / Volume 66 / Issue S1 / March 2023
- Published online by Cambridge University Press:
- 19 July 2023, pp. S318-S319
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Introduction
More than 700,000 people die by suicide in 2019 globally (World Health Organitation 2021). Mental health problems constitute a risk factor for suicidal behavior and death by suicide (Hoertel et al. Mol Psychiatry 2015; 20 718–726). Different mental disorders have been related to different forms of suicidal ideation and behavior (Conejero et al. Curr Psychiatry Rep 2018; 20, 33) (Quevedo et al. Compr Psychiatry 2020; 102 152194). However, little is known on comorbidity profiles among suicide attempters.
ObjectivesThe aim of our work was to identify the psychiatric comorbidity profiles of individuals who were admitted a hospital emergency department due to a suicide attempt. Moreover, it intended to know their clinical characteristics according to comorbidity profile.
MethodsA sample of 683 attempters (71.30% female; M age= 40.85, SD= 15.48) from the SURVIVE study was used. Patients were assessed within the 15 days after emergency department admission. Sociodemographic (i.e., sex, age, marital status and employment status) and clinical data were collected. The International Neuropsychiatric Interview (MINI) was used to assess DSM-V Axis 1 mental health diagnoses and the Columbia Suicide Rating Scale (C-SSRS) to assess suicidal ideation and behavior. The Acquired Capacity for Suicide-Fear of Death Scale (ACSS-FAD), the Patient Health Questionnaire (PHQ-9) to assess the frequency of depressive symptoms during the past 2 weeks, and the General Anxiety Disorder-7 (GAD-7) scale to assess symptoms of worry and anxiety were also conducted. For the identification of comorbidity profiles, latent class analysis framework was followed considering diagnosis to each individual disorder as clustering variables. On the other hand, binary logistic regression was used to study the relationship between comorbidity profile membership and clinical factors.
ResultsTwo classes were found (Class I= mild symptomatology class, mainly featured by emotional disorder endorsement; and Class II= high comorbidity class, featured by a wide amount of endorsed diagnoses) (see figure 1). Individuals from the High comorbidity class were more likely to be female (OR= 0.98, p<.05), younger in age (OR= 0.52, p< .01), with more depressive symptoms (OR=1.09, p<.001) and have greater impulsivity (OR= 1.01, p<.05).
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ConclusionsWe found two profiles of people with suicidal behavior based on the presence of mental disorders. Each of the suicidal subtypes had different associated risk factors. They also had a different profile of suicidal behavior.
Disclosure of InterestNone Declared
Psychopathological symptoms as clinical phenotypes in suicide attempters: relation in terms of suicidal ideation, suicidal related behaviors and medical damage of the attempt
- D. Saiz-Gonzalez, P. Diaz-Carracedo, A. Pemau, W. Ayad-Ahmed, F.-R. Veronica, M. Navas Tejedor, A. de la Torre-Luque, M. Diaz-Marsa
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- Journal:
- European Psychiatry / Volume 66 / Issue S1 / March 2023
- Published online by Cambridge University Press:
- 19 July 2023, pp. S560-S561
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- Article
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- You have access Access
- Open access
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Introduction
Suicide behaviour is a complex and multifactor concept that includes different risk factors. According with literature a dimensional concept of illness could help to understand this complexity and clarify clinical aspects of suicide risk.
ObjectivesThe aim of this study is to identify different profiles of symptoms in a sample of suicide attempters and the relationship between this profiles and suicide behaviour in terms of outcome: presence and intensity of suicidal ideation, presence and number of attempts and severity of the medical damage in the current attempt.
Methods634 patients were recruited at the psychiatry emergency of eight public general hospitals in Spain between November 2020 until February 2022 in the SURVIVE protocol. The patients were assessed in 15 days using a battery of clinical tools that includes Brief Symptom Inventory, a sociodemographic interview, Mini Clinical Interview and C-SSRS, ACSS and BIS-11 scales. Latent profile analysis was applied to obtain profile symptoms. Logistic and multivariant regression was used to obtain data about outcome.
ResultsThree clinical profiles of psychiatric symptoms were described in suicide attempters (p < 0.01): high symptoms (HS) (45.02%), moderate symptoms (MS) (42.5 %) and low symptoms (LS) (12.48%). Significant differences were found between classes in four symptom domains (Figure 1): anxiety, obsessive-compulsive, sensitivity, and somatization (p < 0.01). Participants of the HS class showed higher values in relation with the BSI summary indexes, and more diagnoses, higher levels of suicidal ideation and suicidal related behaviour as well as higher acquired capability for suicide. Participants of the LS class were more likely to be women, older and unemployed and was related, according the analysis, with severe medical damage when compared with other groups (P< 0.01).
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ConclusionsAccording with the predictive model the study suggests different symptom-frequency clusters related with suicide attempt outcomes. Suicide ideation presence and intensity is related with HS class and acquired capability of suicide. Suicide ideation intensity is also related with number of diagnosis and number of previous attempts. Suicide behaviours presence is associated with being student and number with HS profile. Both presence and number were related with number of diagnosis as well as number of previous attempts (the higher all these clinical factors, the more intense of ideation in the last month). Finally, the severity of medical damage was related with LS profile and unemployed/retired work status. The dimensional symptom profile could be useful to predict suicide attempt outcome. Further study is needed to clarify this relation.
Disclosure of InterestNone Declared