The objective of this observational cohort study is to provide comprehensive evaluation and early warning for elderly patients with chronic diseases. The main question it aims to answer is: How to explore effective evaluation methods for diseases in elderly patients based on the coexistence of multiple diseases and high individual heterogeneity? How to explore the key indicators and influencing factors of adverse events in elderly patients.. Participants will be followed up at 1, 3, 6, 9, and 12 months to obtain adverse event information.
Older people represent the fastest growing sector of society and account for the largest increase in hospital admissions. They are at highest risk of acquired disability, cognitive decline, or admission to residential care, either as a consequence of illness or as an unfortunate consequence of treatment. Older people's needs are more complex with potentially coexistent medical, functional, psychological, and social needs.At the same time, comorbidities among the elderly are also extremely common, which resulting in clinical medical decision-making complex and difficult. The comorbidity rate among elderly people in the community is 76.5%; The comorbidity rate of elderly hospitalized patients can reach 91.3%. Hypertension, diabetes, coronary heart disease, COPD and osteoporosis are five common chronic diseases. Because of the intersection of risk factors, the occurrence of comorbidity is particularly obvious. In addition, frailty, malnutrition and other geriatric syndromes also seriously affect the prognosis of elderly patients with chronic diseases. The treatment plans for elderly comorbidities are often contradictory and conflicting. Medical decision-making is complex and difficult. Traditional specialized disease diagnosis and treatment benefits are limited, and the risk of iatrogenic problems is high, which further consuming medical resources. Therefore, in order to further improve the prognosis of elderly patients with chronic diseases, we established a cohort for the above five chronic disease patients, searched for risk factors for adverse events, explored effective methods for evaluating elderly patients with chronic diseases, and improved their quality of life.
Study Type
OBSERVATIONAL
Enrollment
4,100
Beijing Friendship Hospital
Beijing, Beijing Municipality, China
RECRUITINGPneumonia/pulmonary infection
Time frame: 1, 3, 6, 9, 12 months
respiratory failure
Time frame: 1, 3, 6, 9, 12 months
pulmonary encephalopathy
Time frame: 1, 3, 6, 9, 12 months
acute exacerbation of chronic obstructive pulmonary disease
Time frame: 1, 3, 6, 9, 12 months
unstable angina pectoris
Time frame: 1, 3, 6, 9, 12 months
acute myocardial infarction
Time frame: 1, 3, 6, 9, 12 months
acute hemorrhagic stroke
Time frame: 1, 3, 6, 9, 12 months
acute ischemic stroke
Time frame: 1, 3, 6, 9, 12 months
acute heart failure/acute exacerbation of chronic heart failure
Time frame: 1, 3, 6, 9, 12 months
malignant ventricular arrhythmia
Time frame: 1, 3, 6, 9, 12 months
sudden death
Time frame: 1, 3, 6, 9, 12 months
falls
Time frame: 1, 3, 6, 9, 12 months
fractures
Time frame: 1, 3, 6, 9, 12 months
gastrointestinal bleeding
Time frame: 1, 3, 6, 9, 12 months
pulmonary embolism
Time frame: 1, 3, 6, 9, 12 months
deep vein thrombosis
Time frame: 1, 3, 6, 9, 12 months
diabetes ketoacidosis
Time frame: 1, 3, 6, 9, 12 months
diabetes hyperosmolar coma
Time frame: 1, 3, 6, 9, 12 months
rehospitalization
any cause of rehospitalization
Time frame: 1, 3, 6, 9, 12 months
admission to ICU
Time frame: 1, 3, 6, 9, 12 months
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