Influence of anxiety and depression on one-year survival in lung cancer patients

Background and Objectives: Identifying risk factors associated with psychiatrist-confirmed anxiety and depression among young lung cancer patients is very difficult because the incidence and prevalence rates are obviously lower than in middle-aged or elderly patients. Due to the nature of these rare events, logistic regression may not successfully identify risk factors. Therefore, this study aimed to propose a novel algorithm for solving this problem. Materials and Methods: A total of 1022 young lung cancer patients (aged 20–39 years) were selected from the National Health Insurance Research Database in Taiwan. A novel algorithm that incorporated a k-means clustering method with v-fold cross-validation into multiple correspondence analyses was proposed to optimally determine the risk factors associated with the depression and anxiety of young lung cancer patients. Results: Five clusters were optimally determined by the novel algorithm proposed in this study. Conclusions: The novel Multiple Correspondence Analysis–k-means (MCA–k-means) clustering algorithm in this study successfully identified risk factors associated with anxiety and depression, which are considered rare events in young patients with lung cancer. The clinical implications of this study suggest that psychiatrists need to be involved at the early stage of initial diagnose with lung cancer for young patients and provide adequate prescriptions of antipsychotic medications for young patients with lung cancer.

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Anxiety and depression in lung cancer patients during Covid-19 pandemic

Lung Cancer ◽

10.1016/s0169-5002(21)00236-1 ◽

2021 ◽

Vol 156 ◽

pp. S16

Author(s):

Anitha Jacob ◽

Rahul Mogal ◽

Andrew Barlow ◽

Rama Vancheeswaran

Keyword(s):

Lung Cancer ◽

Cancer Patients ◽

Anxiety And Depression ◽

Lung Cancer Patients

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Toxicities and response rate in stage II non-small cell lung cancer patients receiving paclitaxel-cisplatin - One-year observational study

National Journal of Physiology Pharmacy and Pharmacology ◽

10.5455/njppp.2021.11.11308202002412020 ◽

2020 ◽

pp. 1

Author(s):

Anu Chandran ◽

Paul Mathai ◽

Laveesh Raveendran ◽

Varun Raghavan ◽

Premlal S

Keyword(s):

Lung Cancer ◽

Observational Study ◽

Small Cell Lung Cancer ◽

Cancer Patients ◽

Cell Lung Cancer ◽

Response Rate ◽

Small Cell ◽

Small Cell Lung ◽

Lung Cancer Patients ◽

One Year

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Does Delaying Time in Cancer Treatment Affect Mortality? A Retrospective Cohort Study of Korean Lung and Gastric Cancer Patients

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18073462 ◽

2021 ◽

Vol 18 (7) ◽

pp. 3462

Author(s):

Kyu-Tae Han ◽

Woorim Kim ◽

Seungju Kim

Keyword(s):

Gastric Cancer ◽

Lung Cancer ◽

Surgical Treatment ◽

Cancer Patients ◽

Lung Cancer Patients ◽

Treatment Type ◽

Insurance Claims Data ◽

Health Insurance Claims Data ◽

One Year ◽

Gastric Cancer Patients

The aim of this study is to investigate the association between delays in surgical treatment and five- and one- year mortality in patients with lung or gastric cancer. The National Health Insurance claims data from 2006 to 2015 were used. The association between time to surgical treatment, in which the cut-off value was set at average time (30 or 50 days), and five year mortality was analyzed using the Cox proportional hazard model. Subgroup analysis was performed based on treatment type and location of medical institution. A total of 810 lung and 2659 gastric cancer patients were included, in which 74.8% of lung and 71.2% of gastric cancer patients received surgery within average. Compared to lung cancer patients who received treatment within 50 days, the five-year (HR 1.826, 95% CI 1.437–2.321) mortality of those who received treatment afterwards was higher. The findings were not significant for gastric cancer based on the after 30 days standard (HR: 1.003, 95% CI: 0.822–1.225). In lung cancer patients, time-to-treatment and mortality risk were significantly different depending on region. Delays in surgical treatment were associated with mortality in lung cancer patients. The findings imply the importance of monitoring and assuring timely treatment in lung cancer patients.

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