* Identify the degree of delirium in subjects with mild cognitive impairment and find the risk factors of delirium. Mortality, hospital stay, and medical expenses are analyzed as clinical consequences related to delirium incidence. * Dementia conversion rate and conversion period of subjects with mild cognitive impairment with delirium and it identifies the effect of delirium on dementia conversion. * Develop an AI(Artificial intelligence) algorithm for predicting dementia transition in subjects with mild cognitive impairment based on the research results of the 1st, 2nd, and 3rd years.
Study Type
OBSERVATIONAL
Enrollment
163
Twice a day, the rounds of nurses in shifts, 8:00 am - 10:00 am, 4:00 pm - 6:00 pm Trained research assistants assessed delirium using S-CAM
Yangsan Seoul long-term care (LTC) facilities
Daegu, Gyeongsangnam-do, South Korea
RECRUITINGGunsan Chamsarang long-term care (LTC) facilities
Daegu, Jeollabuk-do, South Korea
NOT_YET_RECRUITINGDelirium incidence in participants with mild cognitive impairment
descriptive statistics
Time frame: The number of subjects evaluated as positive in the delirium assessment using S-CAM for 30 days from the 1st day of study participation is statistically calculated.
Dementia conversion rate and transition period in participants with mild cognitive impairment
descriptive statistics
Time frame: The participant's dementia conversion is checked in units of 1 month, and the period until conversion to dementia is analyzed in units of 12 months for 36 months.
Risk factors affecting participants' delirium
Logistic Regression
Time frame: On the first day of data collection, the characteristics of subjects are collected through medical records. After 12 months, the risk factors affecting the occurrence of delirium among the characteristics of the subject are analyzed.
Mortality
Kaplan-Meier survival, Cox proportional hazard regression, Logistic Regression
Time frame: It is statistically calculated in 30-day, 60-day, 12-month, 24-month, and 36-month increments.
hospital length of stay
Linear Regression
Time frame: The period from hospitalization to discharge is calculated in days and analyzed in units of 12 months.
healthcare costs
Linear Regression
Time frame: From the healthcare costs consumed during the hospital length of stay, the direct healthcare costs used only for treatment are calculated in won units and analyzed in units of 12 months.
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