Annals of General Psychiatry (Jun 2022)
Socio-demographic and psychiatric profile of patients hospitalized due to self-poisoning with suicidal intention
Abstract
Abstract Objective To identify the psychiatric profile of patients hospitalized due to self-intoxication associated with suicide-related behavior (SRB). Methods In this retrospective single-center study, records of consecutive patients treated for suicidal poisoning in our Clinical Toxicology unit between 1st January 2012 and 31st December 2016, who received at least one psychiatric exploration during their inpatient stay, were analyzed with regard to epidemiological data, ingested substances, psychiatric and somatic comorbidities, suicidal circumstances and follow-up therapy. Results Out of 1289 hospitalized patients, 1090 patients with complete data were analyzed. Mean age was 40.5 ± 17.2 years, 66.7% were female. 32.0% of patients had previously engaged in SRB, in 76.3% intention was suicidal. 64.7% of patients had a pre-existing psychiatric disorder (PD). Patients with a pre-existing PD more often displayed prior SRB than those without PD (40.7% vs 15.3%; p < 0.001; Fisher′s exact test), used long-term/on demand medication (70.2% vs 38.9%; p < 0.001), distanced themselves from the current suicide attempt (65.9% vs 50.8%; p < 0.001) and had no detectable trigger (38.7% vs 18.1%; p < 0.001). Partnership conflict was the most commonly named trigger, and it was documented more often in patients without than in those with PD (41.6% vs 25.6%). After psychiatric reevaluation, most patients were diagnosed with mood disorders (29.7%) and stress disorders (17.0%); 32.8% of patients had a combination of two or more PDs. Conclusion Hospitalization due to self-poisoning is associated with pre-existing PD, prior SRB and access to psychiatric medication. Detection of these risk factors could allow timely introduction of effective preventive measures tailored to particularly vulnerable subgroups and appropriate relief. However, lack of a detectable trigger in many cases may hamper the identification of those at risk.
Keywords