MA12.02 Factors Associated with Severe COVID-19 Infections in Lung Cancer Patients

To investigate the risk factors of complications in lung cancer patients after CT image-guided percutaneous lung biopsy (PTNB), in this study, 110 patients admitted to Xixi Hospital from January 30, 2017 to June 30, 2019 were selected for PTNB, and the basic characteristic information, lesion diameter, number of needle penetration, depth of needle penetration, physiological results of biopsy, postoperative concurrent symptoms, and success rate of biopsy were recorded. In addition, multivariate Logistic regression model (MLRM) was adopted to explore the correlation between various correlated characters and concurrent symptoms. The results showed that the biopsy pathological results were 53 cases of adenocarcinoma, 31 patients with squamous cell carcinoma, 8 patients with thymic carcinoma, 7 patients with small cell carcinoma and 11 patients with lymph carcinoma, and the success rate of needle biopsy was 100% by comparison with the final diagnosis. Among them, 35 patients developed pneumothorax symptoms postoperatively with a complication rate of 31.82%, 22 patients developed hemoptysis postoperatively with a complication rate of 20%, and 6 patients developed infection with a complication rate of 5.45%. The results of regression analysis showed that pneumothorax and hemoptysis were positively correlated with the number of de needles (P < 0.05), and negatively correlated with lesion diameter (P < 0.05). In addition, pneumothorax was also significantly positively correlated with age (P < 0.05), and infection was significantly positively correlated with the number of puncture needles (P < 0.05). Therefore, the main complications after PTNB are pneumothorax and hemoptysis, the high risk factors associated with pneumothorax include lesion diameter, number of puncture needles and age, the high risk factors associated with hemoptysis include lesion diameter and number of puncture needles, and the risk factors associated with infection are number of puncture needles.

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Evaluation of factors associated with loco-regional failure and survival in limited disease small cell lung cancer patients treated with chemoradiotherapy

Acta Oncologica ◽

10.3109/0284186x.2015.1062135 ◽

2015 ◽

Vol 54 (9) ◽

pp. 1574-1581 ◽

Cited By ~ 3

Author(s):

Anne Winther-Larsen ◽

Lone Hoffmann ◽

Ditte S. Moeller ◽

Azza A. Khalil ◽

Marianne M. Knap

Keyword(s):

Lung Cancer ◽

Small Cell Lung Cancer ◽

Cancer Patients ◽

Cell Lung Cancer ◽

Small Cell ◽

Small Cell Lung ◽

Limited Disease ◽

Lung Cancer Patients ◽

Factors Associated ◽

Regional Failure

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Determining Risk Factors Associated with Depression and Anxiety in Young Lung Cancer Patients: A Novel Optimization Algorithm

Medicina ◽

10.3390/medicina57040340 ◽

2021 ◽

Vol 57 (4) ◽

pp. 340

Author(s):

Yu-Wei Fang ◽

Chieh-Yu Liu

Keyword(s):

Risk Factors ◽

Lung Cancer ◽

Cancer Patients ◽

Young Patients ◽

Anxiety And Depression ◽

The Novel ◽

Depression And Anxiety ◽

Lung Cancer Patients ◽

Factors Associated ◽

Novel Algorithm

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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