Clinical trial NCT06448455: Observation on the Frailty Status of Lung Cancer Patients
Official title: Observation of Frailty in Lung Cancer Patients and Its Influencing Factors
Study type: OBSERVATIONAL
Overall status: RECRUITING
Conditions: Lung Cancer
Keywords: Lung cancer
Frailty
Factor
Lead sponsor: Peking University Third Hospital
Sponsor class: OTHER
First posted: 2024-06-07
Enrollment: 200
Sex: ALL
Minimum age (years): 18
Standard ages: ADULT
OLDER_ADULT
Accepts healthy volunteers: no
Observational model: CASE_ONLY
Time perspective: CROSS_SECTIONAL
Sampling method: NON_PROBABILITY_SAMPLE
Study population: This study will select lung cancer patients who are hospitalized and outpatients in the cancer chemotherapy Department of Peking University Third Hospital as the research object through convenient sampling.

Brief summary: Using the Integrated Conceptual Model of Frailty (ICMF) and Frailty Framework among Vulnerable Population (FFVP) as theoretical basis, the frailty status of lung cancer patients is described, and the physiological, psychological, and social frailty of lung cancer patients are comprehensively evaluated and analyzed. The influencing factors related to frailty are explored, in order to provide a basis for effective intervention research on lung cancer patients in the future.

Detailed description: The frailty of lung cancer patients is the result of multiple systems and factors, and its pathological and physiological changes include neuroendocrine disorders, malnutrition, sarcopenia, chronic inflammatory reactions, etc., accompanied by comorbidities and aging, and various factors promote the occurrence of frailty. Previous studies have found that older age, female gender, low education level, multiple drug use, smoking, lack of exercise, comorbidities, falls, sleep disorders, and anxiety and depression are the influencing factors of frailty in the elderly . When many domestic scholars study the frailty characteristics of elderly lung cancer patients, they have found that patients with advanced age, low BMI, divorce or widowhood, smoking, higher lung cancer staging, comorbidities with other diseases, multiple medications, poor nutrition, lower daily living ability, long disease course, depression, and lower red blood cells, albumin, and hemoglobin are more prone to frailty .

In summary, lung cancer patients are at risk of frailty, with a high incidence and an impact on the occurrence of adverse health outcomes. The conclusions drawn from different studies regarding the incidence and measurement of frailty in lung cancer patients vary. The frailty of lung cancer patients is influenced by multiple factors, not only involving demographic and disease-related factors. At present, there is limited research both domestically and internationally, mainly focusing on the impact of frailty in lung cancer patients on adverse health outcomes. There is a lack of research on the current situation and related factors of frailty in lung cancer patients. Most studies have explored demographic and disease-related factors in lung cancer patients, with little involvement in other variables such as psychological and social factors. Given the significant importance of frailty intervention in improving the health status of lung cancer patients, it is necessary to comprehensively evaluate the frailty status and related factors of lung cancer patients. Therefore, this study intends to use the Integrated Conceptual Model of Frailty (ICMF) and Frailty Framework among Vulnerable Population (FFVP) as theoretical basis to describe the frailty status of lung cancer patients, comprehensively evaluate and analyze the physiological, psychological, and social frailty of lung cancer patients, and explore the influencing factors related to frailty, in order to provide a basis for effective intervention research on lung cancer patients in the future.

Eligibility criteria: Inclusion Criteria:

* Lung cancer was diagnosed by pathology or cytology;
* Age ≥ 18 years;
* Be able to complete this questionnaire independently or under the guidance of the researcher;
* Informed consent and voluntary participation in this study.

Exclusion Criteria:

* Serious physical diseases (heart, lung, kidney and other important organ failure);
* Patients with a history of dementia, mental illness, intellectual disability, and cognitive impairment;
* Blind, deaf and aphasic patients;
* Participate in other studies.

Primary outcomes:
measure: Frailty
timeFrame: First day of admission
Secondary outcomes:
measure: Sleep Quality
timeFrame: First day of admission
measure: Anxiety
timeFrame: First day of admission
measure: Depression
timeFrame: First day of admission
Other outcomes:
Locations:
city: Beijing
country: China
facility: Peking University Third Hospital
state: Beijing
Study officials:
affiliation: Peking University Third Hospital Library
name: Jing Wang
role: PRINCIPAL_INVESTIGATOR
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