scholarly journals PMU31 ANALYSIS OF RISK FACTORS ASSOCIATED WITH INFECTION AND MORTALITY AMONG HOSPITALIZED LUNG CANCER PATIENTS

2019 ◽  
Vol 22 ◽  
pp. S255
Author(s):  
A.A. Ali ◽  
F. Sherbeny
Keyword(s):  
Risk Factors ◽  
Lung Cancer ◽  
Cancer Patients ◽  
Lung Cancer Patients ◽  
Factors Associated

Analysis of Risk Factors Related to Complications of Puncture Biopsy in Lung Cancer Patients Under Image Guidance

2021 ◽  
Vol 11 (1) ◽  
pp. 47-52
Author(s):  
Degang Yin ◽  
Kan Feng ◽  
Biao Yan ◽  
Jiansheng Wang ◽  
Qinming Hou ◽  
...  
Keyword(s):  
Risk Factors ◽  
Lung Cancer ◽  
High Risk ◽  
Cancer Patients ◽  
Complication Rate ◽  
Lung Cancer Patients ◽  
Factors Associated ◽  
Lesion Diameter ◽  
High Risk Factors ◽  
Needle Penetration

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.

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

Medicina ◽  
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.

scholarly journals The homogeneous and heterogeneous risk factors for occurrence and prognosis in lung cancer patients with bone metastasis

2019 ◽  
Vol 17 ◽  
pp. 100251 ◽  
Author(s):  
Ben Wang ◽  
Lijie Chen ◽  
Chongan Huang ◽  
Jialiang Lin ◽  
Xiangxiang Pan ◽  
...  
Keyword(s):  
Risk Factors ◽  
Lung Cancer ◽  
Bone Metastasis ◽  
Cancer Patients ◽  
Lung Cancer Patients

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

2021 ◽  
Vol 16 (10) ◽  
pp. S921-S922
Author(s):  
A.K. Ganti ◽  
N. Fillmore ◽  
J. La ◽  
J. Bihn ◽  
M. Kelley
Keyword(s):  
Lung Cancer ◽  
Cancer Patients ◽  
Lung Cancer Patients ◽  
Factors Associated

Risk Factors, Prognosis and A New Nomogram for Predicting Cancer-Specific Survival Among Lung Cancer Patients with Brain Metastasis: A Retrospective Study Based on SEER

2021 ◽  
Author(s):  
Guihong Zhang ◽  
Yue Jiao Liu ◽  
Ming De Ji
Keyword(s):  
Risk Factors ◽  
Lung Cancer ◽  
Prognostic Factors ◽  
Brain Metastasis ◽  
Cancer Patients ◽  
Primary Site ◽  
Histological Type ◽  
Extracranial Metastasis ◽  
Cancer Specific Survival ◽  
Lung Cancer Patients

Abstract Purpose: A comprehensive population-based study on risk and prognostic factors of lung cancer with brain metastasis is lacking. Methods: 95191 patients diagnosed with lung cancer between 2010 and 2017 were collected from the Surveillance, Epidemiology and End Results (SEER) database. Patients were stratified by different variables. Multivariable logistic and Cox regression were applied to analyze the risk and prognostic factors of brain metastasis among lung cancer patients, respectively. The Fine and Gray’s competing risk regression model was performed to obtain prognostic factors associated with cancer-specific mortality.Results: Among the 95191 patients diagnosed with lung cancer, 10765 patients have brain metastasis, with a metastatic incidence of 11.31%. The primary site of tumor, residence type, age, histological type, race and extracranial metastasis were all independent risk factors of brain metastasis. Compared with other histological types, small cell lung cancer displayed a highest incidence of brain metastasis (16.62%). The median overall survival (OS) among lung cancer patients with brain metastasis was only 6.05 months. The primary site of tumor, median household income, age, histological type, race, gender and extracranial metastasis were all associated with the prognosis of brain metastasis. Patients with squamous cell carcinoma had the worst prognosis, the median OS was only 3.68 months. And our established new nomogram showed a good discriminative ability on predicting the probability of cancer-specific survival among patients with brain metastasis, the C-index was 0.61.Conclusion: Our study provided a deeper insight into the risk factors and prognosis of brain metastasis among lung cancer patients.

Impact of Checkpoint Inhibitor Immunotherapy, Primarily Pembrolizumab, on Infection Risk in Patients With Advanced Lung Cancer: A Comparative Retrospective Cohort Study

2020 ◽  
Author(s):  
Alexandre E Malek ◽  
Melissa Khalil ◽  
Ray Hachem ◽  
Anne Marie Chaftari ◽  
Johny Fares ◽  
...  
Keyword(s):  
Risk Factors ◽  
Lung Cancer ◽  
Urinary Tract ◽  
Cancer Treatment ◽  
Cancer Patients ◽  
Checkpoint Inhibitor ◽  
Advanced Lung Cancer ◽  
Lung Cancer Patients ◽  
Independent Risk Factors ◽  
Tract Infections

Abstract Background Checkpoint inhibitor (CPI) immunotherapy has revolutionized cancer treatment. However, immune-related adverse events and the risk of infections are not well studied. To assess the infectious risk of CPIs, we evaluated the incidence of infections in lung cancer patients treated with CPIs plus conventional chemotherapy (CC) vs CC alone. Methods We performed a retrospective comparative study of patients with advanced non–small cell lung cancer who received CPIs combined with CC and those treated with CC alone at our institution during January 2016 to February 2019. We compared clinical characteristics, treatments, and outcomes including infection rate and mortality between the groups. Results We identified 123 patients for the CPI group and 147 patients for the control (CC) group. Eighteen patients (15%) in the CPI group and 33 patients (22%) in the control group developed infections (P = .1). Pneumonia was the most common infection encountered in both groups. Urinary tract infection was higher in the CC group (40%) than in the CPI group (9%) (P = .01). On multivariable analysis, chronic obstructive pulmonary disease (P = .024), prior use of corticosteroids (P = .021), and neutropenia (P &lt; .001) were independent risk factors for infection and severe infection requiring hospital admission. Chronic kidney disease (P = .02), prior cancer treatment (P = .023), and neutropenia (P &lt; .0001) were identified as independent risk factors for all-cause mortality. Conclusions Lung cancer patients treated with CPIs combined with CC have a comparable risk of infection to those treated with CC alone, although there is a trend towards fewer infections in those given CPIs, particularly when it comes to urinary tract infections.

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