Malnutrition Increases the Risk of Mortality in Hospitalized Lung Cancer Patients

Background The Global Leadership Initiative on Malnutrition(GLIM)recently developed a new set of diagnostic criteria for identifying patients with malnutrition.Because the GLIM criteria were only introduced a little over 3 years ago,additional validation and reliability testing are needed in a variety of populations.Methods We performed an observational,multicenter cohort study.From July 2013 to October 2018,lung cancer patients were recruited from the Daping Hospital of Army Medical University and the First Hospital of Jilin University as part of the INSCOC project.Previously-established cut-off values for the calf circumference(CC,male<30 cm,female<29.5 cm)were applied as the reduced muscal mass of phenotypic criteria to establish the GLIM diagnosis.Multivariate Cox regression analyses were performed to analyze the association between the GLIM criteria and survival.Results A total of 1219 patients with lung cancer were studied as subjects.Their age was 58.81±9.92 years old,and 820 were male and 399 were female.According to the GLIM diagnostic criteria using the CC as a muscle mass measurement,303 patients(24.9%)were categorized as malnourished,142 patients(23.1%)in the adult group(18≤age<60)and 161 patients(26.7%)in the older group(age≥60 years).The patients with malnutrition had a higher incidence of anemia than the nourished patients(P=0.012).The QLQ-C30 score and KPS score indicating that the malnourished patients had a consistently worse quality of life compared to the nourished group(all P<0.001).The median survival of the malnutrition group was 42(95%CI:34-50)months,which was much shorter than the 62(95%CI:57-66)months in the nourished group(P<0.001).In the adult group,the median survival decreased from 65(95%CI:55-72)months in nourished group to 34(95%CI:25-48)months in the patients with malnutrition(P<0.001).In the older group,it decreased from 61(95%CI:55-67)months to 48(95%CI:39-59)months(P=0.001).A Cox regression analysis showed that GLIM-diagnosed malnutrition was associated with an increased risk of death among adult group(HR=1.670,95%CI:1.29-2.16),older group(HR=1.332,95%CI:1.05-1.69)and overall(HR=1.453,95%CI:1.22-1.72).Conclusion All of these results demonstrate that GLIM-diagnosed malnutrition is associated with a poorer survival for all lung cancer patients,independent of age.

Bioelectrical Impedance Phase Angle as a Predictors of Mortality in Patients with Lung Cancer:a Prospective Study

Objective Bioelectrical impedance analysis(BIA)is used to measure a patient's body composition.The phase angle(PA),the major parameter in BIA,is one of the most sensitive indicators of malnutrition.The aim of the current study was to investigate whether the PA can be used to predict survival in lung cancer patients.Methods One hundred sixty-six lung cancer patients were prospectively included from January 2014 to August 2016 in Daping Hospital.Anthropometric measurements,hematological values,the nutritional risk screening(NRS 2002)score,patient generated-subjective global assessment(PG-SGA)score,Karnofsky performance status(KPS)scale,European Organization for Research and Treatment of Cancer Core Quality of Life Questionnaire(EORTC QLQ C-30)score,and BIA were investigated within 48 hours after admission to the hospital.A Spearman correlation analysis was applied to test the correlations between the study characteristics and PA.A Kaplan-Meier analysis and log-rank test were conducted to analyze the association between the overall survival(OS)and PA.Results The mean age for all patients was 63 years old(42 females and 124 males).The median PA was 5.5°(4.70°,6.23°).The PA was positively associated with the body mass index,hand grip strength,mid-arm circumference,mid-arm muscle circumference,albumin,prealbumin,C-reactive protein,red blood cells,hemoglobin and KPS score.The PG-SGA scores,QLQ-C30 score,and NRS2002 score showed a significant negative association with the PA.According to a multivariate analysis,the PA(HR=0.47;95%CI:0.27-0.81)was independent predictor of the lung cancer patients'long-term OS.Patients with a higher PA(≥5°)had better overall survival(median=426 days)compared to those with a lower PA(<5°)(median=96 days)based on the one-year follow-up data(P<0.0001).Conclusions These studies indicate that the PA is a sensitive and early indicator to predict survival in lung cancer patients.