Predictive Model Clinical Trial
Official title:
A Prediction Model for Early Prediction of Depression and Anxiety in Perioperative Elderly Adults
Anxiety and depression in later life are highly prevalent, often appear as comorbid disorders, and have many adverse consequences for both the individual and society. Given the disease burden, the large influx of new cases, and the economic costs, efforts should be made to prevent the onset of anxiety and depression in later life. Preventive interventions are likely to become more cost effective when they are targeted at elderly who have been exposed to risk factors known to be predictive of the onset of anxiety and/or depression. As the population aging is speeding up, senile diseases have become a significant and severe public health problem, influencing national health. More than 20 million elderly patients undergo surgery each year in China, accounting for a quarter of the population who undergo surgery. Therefore, it is necessary to construct a predictive model of anxiety and depression in perioperative elderly hospitalized patients
More than 20 million elderly patients undergo surgery each year in China, accounting for a quarter of the population who undergo surgery. Therefore, it is necessary to construct a predictive model of anxiety and depression in perioperative elderly hospitalized patients. In 2015, the WHO introduced the concept of "healthy ageing" for global ageing, with a focus on the mental health of older people at its core. Previous studies have found a 31 percent risk of anxiety and 29 percent risk of depression in older perioperative patients. Therefore, optimizing perioperative mental health management in older patients remains one of the challenges facing clinicians. ;
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