Serum IGFBP2 Level Is a New Candidate Biomarker of Severe Malnutrition in Advanced Lung Cancer

2019 ◽  
Vol 72 (5) ◽  
pp. 858-863
Author(s):  
Jie Dong ◽  
Yaqi Zeng ◽  
Ping Zhang ◽  
Chunlei Li ◽  
Yajun Chen ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Advanced Lung Cancer ◽  
Severe Malnutrition

An interdisciplinary early simultaneous palliative approach in advanced lung cancer (a-LC): Preliminary data in outpatient setting experience.

2015 ◽  
Vol 33 (29_suppl) ◽  
pp. 138-138 ◽  
Author(s):  
Annamaria Catino ◽  
Ferruccio Aloe ◽  
Maria Elvira Piccininno ◽  
Antonella Daniele ◽  
Andrea Misino ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Palliative Care ◽  
Preliminary Data ◽  
Pain Treatment ◽  
Mini Nutritional Assessment ◽  
Outpatient Setting ◽  
Smoking History ◽  
Advanced Lung Cancer ◽  
Severe Malnutrition ◽  
Palliative Approach

138 Background: To integrate Simultaneous Palliative Care with standard cancer care is a growing-interest concept; hence, a global patient-centered care rather than disease-directed intervention is a major issue in advanced Lung Cancer (a-LC). These patients are often characterized by high tumor burden and comorbidities related to smoking history and elderly; furthermore, malnutrition could contribute to worse outcome. Some landmark experiences have demonstrated that a-LC patients benefit from simultaneous palliative care in early phase of treatment. The initial results of a pilot experience on early simultaneous interdisciplinary palliative approach in a-LC patients, referring to the Thoracic Oncology outpatient department of a Clinical Cancer Center, are reported. Methods: From October 2014 to May 2015, 35 patients with stage IV disease, receiving first-line therapy, were accrued. The team includes medical oncologists, a palliative care specialist, a psychologist, a nutritional expert and a research nurse. The baseline assessment comprised the disease status and comorbidities, psychosocial distress, pain and Mini-nutritional assessment (MNA). Smoking habits were recorded and information about smoking cessation programs was provided. A survey about the grade of satisfaction of patients during this multimodal approach was conducted. Results: The main patients’ characteristics are shown in Table.18/35 patients required pain treatment reassessment, while 13/35 patients had severe malnutrition. The most frequent symptoms were pain (24/35), severe psychological distress (24/35), asthenia (23/35) and anorexia (20/35). Conclusions: This approach is suggested due to multiple unmet needs of these patients; these preliminary data confirm that an interdisciplinary early palliative care is feasible in an outpatient setting with good compliance and satisfaction of patients as well as of caregivers. [Table: see text]

scholarly journals The correlation between skeletal muscle index of the L3 vertebral body and malnutrition in patients with advanced lung cancer

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Xiangliang Liu ◽  
Wei Ji ◽  
Kaiwen Zheng ◽  
Jin Lu ◽  
Lingyu Li ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Skeletal Muscle ◽  
Nutritional Assessment ◽  
Pearson Correlation ◽  
Statistical Significance ◽  
Advanced Lung Cancer ◽  
Severe Malnutrition ◽  
Forest Plot ◽  
Skeletal Muscle Index ◽  
Moderate Malnutrition

Abstract Background Studies have shown that the skeletal muscle index at the third lumbar vertebra (L3 SMI) had reasonable specificity and sensitivity in nutritional assessment and prognostic prediction in digestive system cancers, but its performance in lung cancer needs further investigation. Methods A retrospective study was performed on 110 patients with advanced lung cancer. The L3 SMI, the Patient-Generated Subjective Global Assessment score (PG-SGA score), body mass index (BMI), and serological indicators were analyzed. According to PG-SGA scores, patients were divided into severe malnutrition (≥9 points), mild to moderate malnutrition (≥3 points and ≤ 8 points), and no malnutrition (≤2 points) groups. Pearson correlation and logistic regression analysis were adopted to find factors related to malnutrition, and a forest plot was drawn. The receiver operating characteristic (ROC) curve was performed to compare the diagnostic values of malnutrition among factors, which were expressed by the area under curve (AUC). Results 1. The age of patients in the severe malnutrition group, the mild to moderate malnutrition group, and the no malnutrition group significantly differed, with mean ages of 63.46 ± 10.01 years, 60.42 ± 8.76 years, and 55.03 ± 10.40 years, respectively (OR = 1.062, 95%CI: 1.008 ~ 1.118, P = 0.024; OR = 1.100, 95%CI: 1.034 ~ 1.170, P = 0.002). Furthermore, the neutrophil to lymphocyte ratio (NLR) of the severe malnutrition group was significantly higher than that of the no malnutrition group, with statistical significance. The difference between the mild to moderate malnutrition group and the no malnutrition group were not statistically significant, with NLR of 4.07 ± 3.34 and 2.47 ± 0.92, respectively (OR = 1.657,95%CI: 1.036 ~ 2.649, P = 0.035). The L3 SMI of patients in the severe malnutrition and mild to moderate malnutrition groups were significantly lower than that of the patients in the no malnutrition group, with statistical significance. The L3 SMI of patients in the severe malnutrition group, mild to moderate malnutrition group, and no malnutrition group were 27.40 ± 4.25 cm2/m2, 38.19 ± 6.17 cm2/m2, and 47.96 ± 5.02 cm2/m2, respectively (OR = 0.600, 95%CI: 0.462 ~ 0.777, P < 0.001; OR = 0.431, 95%CI: 0.320 ~ 0.581, P < 0.001). 2. The Pearson correlation analysis showed that the PG-SGA score positively correlated with age (r = 0.296, P < 0.05) but negatively correlated with L3 SMI (r = − 0.857, P < 0.05). The L3 SMI was also negatively correlated with age (r = − 0.240, P < 0.05). 3. The multivariate analysis showed that the L3 SMI was an independent risk factor for malnutrition (OR = 0.446, 95%CI: 0.258 ~ 0.773, P = 0.004; OR = 0.289, 95%CI: 0.159 ~ 0.524, P < 0.001). Conclusion 1. The differences in the L3 SMI was statistically significant among advanced lung cancer patients with different nutritional statuses. 2. In the nutritional assessment of patients with lung cancer, the L3 SMI was consistent with the PG-SGA. 3. The L3 SMI is an independent predictor of malnutrition in patients with advanced lung cancer.

scholarly journals The Correlation between Skeletal Muscle Index of the L3 Vertebral Body and Malnutrition in Patients with Advanced Lung Cancer

2021 ◽  
Author(s):  
Xiangliang Liu ◽  
Wei Ji ◽  
Kaiwen Zheng ◽  
Jin Lu ◽  
Lingyu Li ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Skeletal Muscle ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Pearson Correlation ◽  
Advanced Lung Cancer ◽  
Severe Malnutrition ◽  
Skeletal Muscle Index ◽  
Skeletal Muscle Mass Index ◽  
Moderate Malnutrition

Abstract Background: By analyzing the L3 skeletal muscle index in patients with advanced lung cancer, we determined whether this index could be an independent predictor of malnutrition in such patients and its role in nutritional assessments.Methods: Retrospective analysis was performed on patients with advanced lung cancer who received medical treatment at the Cancer Center of The First Hospital of Jilin University from January 2017 to July 2017, and relevant data were collated and analyzed. Abdominal CT was used to analyze the L3 skeletal muscle index, and PG-SGA score, body mass index (BMI), and serological indicators were analyzed. According to PG-SGA scores, patients were divided into severe malnutrition (≥9 points), mild to moderate malnutrition (≥3 points and ≤8 points), and no malnutrition (≤2 points) groups. Pearson correlation analysis was conducted between the skeletal muscle index and PG-SGA score, BMI, and laboratory test indices. Univariate and multivariate logistic regression analyses were conducted on the factors related to malnutrition, and a forest plot was drawn to identify malnutrition risk and protection factors.Results:1. The age of patients in the severe malnutrition group, the mild to moderate malnutrition group, and the no malnutrition group significantly differed, with mean ages of 63.46±10.01 years, 60.42±8.76 years, and 55.03±10.40 years, respectively. Furthermore, the NLR of the severe malnutrition group was significantly higher than that of the no malnutrition group, with statistical significance. The difference between the mild to moderate malnutrition group and the no malnutrition group were not statistically significant, with NLRs of 4.07±3.34, 3.09±1.47, and 2.47±0.92, respectively. The L3 skeletal muscle mass indices of patients in the severe malnutrition and mild to moderate malnutrition groups were significantly lower than that of the patients in the no malnutrition group, with statistical significance. The L3 skeletal muscle mass index of patients in the severe malnutrition group, mild to moderate malnutrition group, and no malnutrition group were 27.40±4.25 cm2/m2, 38.19±6.17 cm2/m2, and 47.96±5.02 cm2/m2, respectively.2.The multivariate analysis showed that the L3 skeletal muscle index was an independent risk factor for malnutrition (OR=0.627, p=0.000; OR=0.454, p=0.000).3.The Pearson correlation analysis showed that the PG-SGA score positively correlated with age (r=0.296), but negatively correlated with L3 skeletal muscle mass index (r=-0.857) (P≤0.05). The L3 skeletal muscle mass index also negatively correlated with age (r=-0.240) (P≤0.05).Conclusion：1. The differences in the L3 skeletal muscle index, age, PA, and NLR were statistically significant among patients with advanced lung cancer with different nutritional statuses.2. In the nutritional assessment of patients with lung cancer, the L3 skeletal muscle index was consistent with the PG-SGA.3. The L3 skeletal muscle index is an independent predictor of malnutrition in patients with advanced lung cancer.

TP53 Exon 8 Mutations are Associated with Shorter Survival in Advanced Lung Cancer Patients

2018 ◽  
Author(s):  
Yutao Liu ◽  
Fang Xu ◽  
Yubo Wang ◽  
Qingchen Wu ◽  
Buhai Wang ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Patients ◽  
Advanced Lung Cancer ◽  
Lung Cancer Patients

scholarly journals A population-based analysis of spirometry use and the prevalence of chronic obstructive pulmonary disease in lung cancer

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Sophie Corriveau ◽  
Gregory R. Pond ◽  
Grace H. Tang ◽  
John R. Goffin
Keyword(s):  
Lung Cancer ◽  
Chronic Obstructive Pulmonary Disease ◽  
Pulmonary Disease ◽  
Early Stage ◽  
Advanced Lung Cancer ◽  
Public Healthcare ◽  
Chronic Obstructive ◽  
Obstructive Pulmonary Disease ◽  
Early Stage Disease ◽  
Morbidity Score

Abstract Background Chronic obstructive pulmonary disease (COPD) and lung cancer are associated diseases. COPD is underdiagnosed and thus undertreated, but there is limited data on COPD diagnosis in the setting of lung cancer. We assessed the diagnosis of COPD with lung cancer in a large public healthcare system. Methods Anonymous administrative data was acquired from ICES, which links demographics, hospital records, physician billing, and cancer registry data in Ontario, Canada. Individuals age 35 or older with COPD were identified through a validated, ICES-derived cohort and spirometry use was derived from physician billings. Statistical comparisons were made using Wilcoxon rank sum, Cochran-Armitage, and chi-square tests. Results From 2002 to 2014, 756,786 individuals were diagnosed with COPD, with a 2014 prevalence of 9.3%. Of these, 51.9% never underwent spirometry. During the same period, 105,304 individuals were diagnosed with lung cancer, among whom COPD was previously diagnosed in 34.9%. Having COPD prior to lung cancer was associated with lower income, a rural dwelling, a lower Charlson morbidity score, and less frequent stage IV disease (48 vs 54%, p < 0.001). Spirometry was more commonly undertaken in early stage disease (90.6% in stage I-II vs. 54.4% in stage III-IV). Conclusion Over a third of individuals with lung cancer had a prior diagnosis of COPD. Among individuals with advanced lung cancer, greater use of spirometry and diagnosis of COPD may help to mitigate respiratory symptoms.

scholarly journals BIOMARKER TESTING FOR PEOPLE WITH ADVANCED LUNG CANCER IN ENGLAND

2021 ◽  
pp. 100176
Author(s):  
Jana B. Adizie ◽  
Judith Tweedie ◽  
Aamir Khakwani ◽  
Emily Peach ◽  
Richard Hubbard ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Advanced Lung Cancer ◽  
Biomarker Testing
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