Publications by authors named "Qiugui Li"

Objectives: Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality worldwide, particularly among the elderly, resulting in high rates of intensive care unit (ICU) admissions. Malnutrition is common in elderly patients and has been associated with poor prognosis in patients with COPD. However, its impact in the ICU setting remains incompletely defined.

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Background: Older adults are vulnerable to social isolation due to declining physical and cognitive function, decreased interpersonal interactions, and reduced outdoor activities after retirement. This study aimed to develop and validate a predictive model to assess the risk of social isolation among older adults in China.

Methods: Using data from the 2011 China Health and Retirement Longitudinal Study (CHARLS).

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Article Synopsis
  • - The study aimed to assess the link between frailty and postoperative delirium (POD) in elderly patients who underwent cardiac surgery, using data from a retrospective analysis of over 2000 patients treated between 2008 and 2019.
  • - Results showed that frail patients (30% of the sample) had a significantly higher incidence of delirium (29.2%) compared to non-frail patients (16.4%), even after controlling for various factors like age, sex, and type of surgery.
  • - The findings conclude that frailty is a significant independent risk factor for experiencing POD in older cardiac surgery patients, highlighting the need for better frailty assessments and targeted interventions to enhance patient outcomes.
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Background: Depressive symptoms and sarcopenia, often observed among middle-aged and elderly individuals, are significant health concerns in China, particularly given the country's rapidly aging population. Depressive symptoms, characterized by persistent feelings of sadness and loss of interest, can significantly impact quality of life. Little is known about the underlying pathway connecting these two conditions.

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Article Synopsis
  • Sarcopenia is an age-related disease in older adults that increases the risk of health issues and mortality, prompting the need for a risk prediction model targeting this demographic in China.
  • The study analyzed data from 3,454 older adults, identifying key predictive factors like sex, BMI, blood pressure, and pain, which were then used to develop a reliable nomogram model for sarcopenia.
  • The model showed strong accuracy and consistency, proving useful for clinical practitioners in screening and intervention efforts for sarcopenia among older adults in China.
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Background: Delirium is a common and severe complication in intensive care unit (ICU) patients with acute ischemic stroke, exacerbating cognitive and physical impairments. It prolongs hospitalization, increases healthcare costs, and raises mortality risk. Early prediction is crucial because it facilitates prompt interventions that could possibly reverse or alleviate the detrimental consequences of delirium.

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