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Suicide is the second largest reason for death and every year approx 800,000 people die due to this.

New Model to Predict Risk of Suicidal Behavior

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The Researchers of the University of Pittsburgh School has found a new approach that tracks down depressive symptoms that leads to suicidal behavior.

The report was published in JAMA Psychiatry on 27 of February 2019.

According to the reports, suicide is the second largest reason for death and every year approx 800,000 people die due to this.

The research was conducted on 663 young adults who have shown the symptoms of high-risk suicidal behavior. The parents of these participants were diagnosed with mood disorders.

The evaluation of these participants and their parents was done for a period of 12 years through standard assessments of psychiatric diagnoses and symptoms of depression, hopelessness, irritability, and impulsive aggression.

According to the research, all these symptoms show a high variability of suicidal behavior. The researchers have combined the elements of variability in depressive symptoms with age, mood disorders, parental/personal suicide attempts and childhood abuse.

The team researchers have developed a new method that predicts the high-risk factor of suicidal behavior, they call it a Predictive Risk Score (PRS). Based on the outcome of the research it was suggested a score of 3 or more have high-risk of suicidal behavior.

The researchers have claimed the predictive test to be 87 percent sensitive which is better than today’s psychiatric therapy.

The senior author Nadine Melhem, associate professor of psychiatry at Pitt’s School of Medicine and a researcher at UPMC Western Psychiatric Hospital, said, “Our findings suggest that when treating patients, clinicians must pay particular attention to the severity of current and past depressive symptoms and try to reduce their severity and fluctuations to decrease suicide risk.”

Additionally, she said, “The PRS is a valuable addition to the physician’s toolkit to help predict suicide risk in high-risk individuals, and it can be done at little cost because the information needed is already being collected as part of standard evaluations.”

According to the researchers, the model is still to be independently tested on different age groups. Also, more research needs to be done to make the Prediction Risk Score more accurate through objective biological markers.

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