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.
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.
Authors: Oscar Arrieta; Martha De la Torre-Vallejo; Diego López-Macías; David Orta; Jenny Turcott; Eleazar-Omar Macedo-Pérez; Karla Sánchez-Lara; Laura-Alejandra Ramírez-Tirado; Vickie E Baracos Journal: Oncologist Date: 2015-07-14
Authors: Daniel Shepshelovich; Wei Xu; Lin Lu; Aline Fares; Ping Yang; David Christiani; Jie Zhang; Kouya Shiraishi; Brid M Ryan; Chu Chen; Ann G Schwartz; Adonina Tardon; Xifeng Wu; Matthew B Schabath; M Dawn Teare; Loic Le Marchand; Zuo-Feng Zhang; John K Field; Hermann Brenner; Nancy Diao; Juntao Xie; Takashi Kohno; Curtis C Harris; Angela S Wenzlaff; Guillermo Fernandez-Tardon; Yuanqing Ye; Fiona Taylor; Lynne R Wilkens; Michael Davies; Yi Liu; Matt J Barnett; Gary E Goodman; Hal Morgenstern; Bernd Holleczek; M Catherine Brown; Geoffrey Liu; Rayjean J Hung Journal: J Thorac Oncol Date: 2019-06-01 Impact factor: 15.609
Authors: Jörg Menche; Amitabh Sharma; Michael H Cho; Ruth J Mayer; Stephen I Rennard; Bartolome Celli; Bruce E Miller; Nick Locantore; Ruth Tal-Singer; Soumitra Ghosh; Chris Larminie; Glyn Bradley; John H Riley; Alvar Agusti; Edwin K Silverman; Albert-László Barabási Journal: BMC Syst Biol Date: 2014-03-13