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Observation on the Frailty Status of Lung Cancer Patients

Observation of Frailty in Lung Cancer Patients and Its Influencing Factors

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06448455
Enrollment
200
Registered
2024-06-07
Start date
2024-04-01
Completion date
2024-12-31
Last updated
2024-06-10

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Lung Cancer

Keywords

Lung cancer, Frailty, Factor

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.

Interventions

OTHERObservation

Collect relevant data of patients

Sponsors

Peking University Third Hospital
Lead SponsorOTHER

Study design

Observational model
CASE_ONLY
Time perspective
CROSS_SECTIONAL

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

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.

Design outcomes

Primary

MeasureTime frameDescription
FrailtyFirst day of admissionFilburg Frailty Indicator,The score range is 0-55 points, and patients with ≥ 2points are diagnosed as debilitated. The higher the score of the total scale, the more serious the weakness.

Secondary

MeasureTime frameDescription
DepressionFirst day of admissionHospital Depression Scales,The scores range from 0 to 21. The higher the score, the more serious the depression.
Sleep QualityFirst day of admissionPittsburgh Sleep Quality Index,The total score in the table ranges from 0 to 21 points. The higher the score, the worse the sleep quality.
AnxietyFirst day of admissionHospital Anxiety Scales,The scores range from 0 to 21. The higher the score, the more serious the anxiety.

Countries

China

Contacts

Primary ContactJing Wang
nmwj0723@163.com13699176380
Backup ContactXinhua Shi
shixinhua325@163.com13699176380

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026