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Predictors of survival in patients with non-small cell lung cancer
- Source :
- Oncology nursing forum. 39(6)
- Publication Year :
- 2012
-
Abstract
- Purpose/objectives To examine how routine laboratory biomarkers and clinical parameters available within medical records related to overall survival in patients with non-small cell lung cancer (NSCLC). Design Retrospective chart review. Setting University-based cancer center in rural West Virginia. Sample 110 patients from the U.S. Appalachian region with a primary diagnosis of NSCLC at initial hospitalization. Methods Electronic medical records were reviewed for one year after discharge or until death. The Kaplan-Meier method was used to compare survival curves for each prognostic factor. Cox proportional hazards model was used for multivariate analyses. Main research variables Total white blood cell, neutrophil, lymphocyte, and platelet counts; hemoglobin level; body mass index (BMI); performance status; and cancer stage. Findings Low BMI (lower than 18.5 lb/in2), advanced cancer stage (IIIB or IV), and elevated neutrophil (higher than 8 x 103/mcl) and platelet (300-826 x 1012/L) counts were significant, independent prognostic factors for shorter survival time in NSCLC. BMI (hazard ratio [HR] = 2.15, 95% confidence interval [CI] [0.94, 4.9]) and neutrophil (HR = 2.93, 95% CI [1.53, 5.59]) and platelet (HR = 2.65, 95% CI [1.25, 5.62]) counts were overall prognostic predictors for patients with advanced NSCLC and remained in the multivariate survival model. Conclusions This study detected two known clinical parameters, cancer stage and nutritional status (i.e., BMI and neutrophil and platelet counts), as having independent prognostic significance for shorter survival in NSCLC. Research on survival in patients with NSCLC should include those identified laboratory biomarkers and clinical parameters for screening patients at risk for shorter survival time following hospitalization. Investigation of whether treatments tailored to address neutrophil and platelet counts and BMI can improve survival outcomes also is warranted. Implications for nursing Attention to common biomarkers recorded in patient charts (e.g., neutrophil and platelet counts) as well as BMI could allow nurses to identify patients at risk for low survival. Interventions should be identified and initiated. Longitudinal studies in clinical settings that follow the survival of patients with NSCLC are essential.
- Subjects :
- Oncology
Male
medicine.medical_specialty
Lung Neoplasms
Internal medicine
Carcinoma, Non-Small-Cell Lung
medicine
Humans
Lung cancer
Survival rate
Survival analysis
Aged
Retrospective Studies
Performance status
Proportional hazards model
business.industry
Hazard ratio
Cancer
Retrospective cohort study
Middle Aged
medicine.disease
Prognosis
Survival Rate
Multivariate Analysis
Female
business
Subjects
Details
- ISSN :
- 15380688
- Volume :
- 39
- Issue :
- 6
- Database :
- OpenAIRE
- Journal :
- Oncology nursing forum
- Accession number :
- edsair.doi.dedup.....908fcb8d1fedcd23d16e96287b0d4e18