Clinical trial NCT05600504: Development and Validation of a Prediction Model for Depression and Anxiety in Perioperative Elderly Adults
Official title: A Prediction Model for Early Prediction of Depression and Anxiety in Perioperative Elderly Adults
Study type: OBSERVATIONAL
Overall status: COMPLETED
Conditions: Predictive Model
Keywords: predicted model
depression
anxiety
elderly patient
Lead sponsor: Chinese PLA General Hospital
Sponsor class: OTHER
Collaborators: name: Peking University First Hospital
name: Peking University People's Hospital
name: Shanghai Zhongshan Hospital
name: Fudan University
name: First Affiliated Hospital of Guangxi Medical University
name: The Affiliated Hospital Of Guizhou Medical University
name: The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School
name: Taihe Hospital
name: Capital Medical University
name: Beijing Tiantan Hospital
name: Wuhan Union Hospital, China
name: First Affiliated Hospital of Xinjiang Medical University
name: China-Japan Friendship Hospital
name: Sun Yat-sen University
First posted: 2022-10-31
Enrollment: 6386
Sex: ALL
Minimum age (years): 65
Standard ages: OLDER_ADULT
Accepts healthy volunteers: no
Observational model: OTHER
Time perspective: PROSPECTIVE
Sampling method: NON_PROBABILITY_SAMPLE
Study population: Elderly patients, aged 65 years and above, who underwent elective non-cardiac surgeries in China during the period spanning from April 1, 2020, to April 30, 2022.

Brief summary: 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

Detailed description: 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.

Eligibility criteria: Inclusion Criteria:

1. elective non-cardiac surgery,
2. American society of Aneshesiologists (ASA) classification Ⅰ \~ Ⅲ,
3. patients over age 65.

Exclusion Criteria:

1. patient refused follow-up study,
2. missing data exceeding 20%,
3. went to ICU or died after surgery,
4. have a history of any mental disorders such as epilepsy, Parkinson's disease, depression, anxiety, sleep disorders, or are currently taking relevant intervention drugs 5) patients with severe deafness, dementia or speech impairment.

Primary outcomes:
measure: Depression
timeFrame: Depression within 7 days of surgery
Secondary outcomes:
measure: Anxiety
timeFrame: Anxiety within 7 days of surgery
Other outcomes:
Locations:
city: Beijing
country: China
facility: Chinese PLA General Hospital
state: Beijing
Study officials:
affiliation: Chinese PLA General Hospital
name: Weidong Mi, PhD
role: STUDY_CHAIR
References: