PG-SGA SF in nutrition assessment and survival prediction for elderly patients with cancer.

BACKGROUND: This study was sought to report the prevalence of malnutrition in elderly patients with cancer. Validate the predictive value of the nutritional assessment tool (Patient-Generated Subjective Global Assessment Short Form, PG-SGA SF) for clinical outcomes and assist the therapeutic decision. METHODS: This is a secondary analysis of a multicentric, observational cohort study. Elderly patients with cancer older than 65 years were enrolled after the first admission. Nutritional status was identified using the PG-SGA SF. RESULTS: Of the 2724 elderly patients included in the analysis, 65.27% of patients were male (n = 1778); the mean age was 71.00 ± 5.36 years. 31.5% of patients were considered malnourished according to PG-SGA SF. In multivariate analysis, malnutrition(PG-SGA SF > 5) was significantly associated with worse OS (HR: 1.47,95%CI:1.29-1.68), affects the quality of life, and was related to more frequent nutrition impact symptoms. During a median follow-up of 4.5 years, 1176 death occurred. The mortality risk was 41.10% for malnutrition during the first 12 months and led to a rate of 323.98 events per-1000-patient-years. All nutritional assessment tools were correlated with each other (PG-SGA SF vs. PG-SGA: r = 0.98; PG-SGA SF vs. GLIM[Global Leadership Initiative on Malnutrition]: r = 0.48, all P < 0.05). PG-SGA SF and PG-SGA performed similarly to predict mortality but better than GLIM. PG-SGA SF improves the predictive ability of the TNM classification system for mortality in elderly patients with cancer, including distinguishing patients' prognoses and directing immunotherapy. CONCLUSIONS: The nutritional status as measured by PG-SGA SF which is a prognostic factor for OS in elderly cancer patients and could improve the prognostic model of TNM.

Prevalence and Prognostic Value of Malnutrition Among Elderly Cancer Patients Using Three Scoring Systems.

Background: Malnutrition is common in patients with cancer and is associated with adverse outcomes, but few data exist in elderly patients. The aim of this study was to report the prevalence of malnutrition using three different scoring systems and to examine the possible clinical relationship and prognostic consequence of malnutrition in elderly patients with cancer. Methods: Nutritional status was assessed by using controlling nutritional status (CONUT), the prognostic nutritional index (PNI), and the nutritional risk index (NRI). Quality-of-life (Qol) was assessed during admission by using the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire C-30. Performance status (PS) was assessed by using the Eastern Cooperative Oncology Group (ECOG) classification. The relationship between nutritional status and overall survival and Qol were examined. Results: Data were available for 1,494 elderly patients with cancer (63.65% male), the mean age was 70.76 years. According to the CONUT, NRI, and PNI, 55.02, 58.70, and 11.65% patients were diagnosed with malnutrition, respectively. Worse nutritional status was related to older, lower BMI, lower hand grip strength, and more advanced tumor stage. All malnutrition indexes were correlated with each other (CONUT vs. PNI, r = -0.657; CONUT vs. NRI scores, r = -0.672; PNI vs. NRI scores, r = 0.716, all P < 0.001). During a median follow-up of 43.1 months, 692 (46.32%) patients died. For patients malnourished, the incidence rate (events-per-1,000person-years) was as follows: CONUT (254.18), PNI (429.91), and NRI (261.87). Malnutrition was associated with increased risk for all-cause mortality (adjust HR [95%CI] for CONUT: 1.09 [1.05-1.13], P < 0.001; PNI: 0.98[0.97-0.99], P < 0.001; NRI: 0.98 [0.98-0.99], P < 0.001). All malnutrition indexes improved the predictive ability of the TNM classification system for all-cause mortality. Deterioration of nutritional status was associated with deterioration in Qol parameters and immunotherapeutic response (P < 0.001). Conclusions: Malnutrition was prevalent in elderly patients with cancer, regardless of the assessment tools used, and associated with lower Qol and the immunotherapy response.

Association of systemic inflammation with survival in patients with cancer cachexia: results from a multicentre cohort study.

BACKGROUND: Although systemic inflammation is an important feature of the cancer cachexia, studies on the association between systemic inflammation and prognostic of cancer cachexia are limited. The objective of this study is to evaluate whether the neutrophil-to-lymphocyte ratio (NLR) is associated with outcome and quality of life for patients with cancer cachexia and investigated any interaction between NLR and the clinical parameters. METHODS: This is a multicentre cohort study of 2612 cancer patients suffering from cachexia diagnosed between June 2012 and December 2019. The main parameters measured were overall survival (OS) time and all-cause mortality. The association between NLR and all-cause mortality was evaluated using hazard ratios (HRs) and the restricted cubic spline model with a two-sided P-value. Optimal stratification was used to solve threshold points. We also evaluated the cross-classification of NLR for each variable of survival. RESULTS: Of the 2612 participants diagnosed with cancer cachexia, 1533 (58.7%) were male, and the mean (SD) age was 58.7 (11.7) years. Over a median follow-up of 4.5 years, we observed 1189 deaths. The overall mortality rate for patients with cancer cachexia during the first 12 months was 30.2% (95%CI: 28.4%-32.0%), resulting in a rate of 226.07 events per 1000 patient-years. An increase in NLR had an inverted L-shaped dose-response association with all-cause mortality. The optimal cut-off point for NLR as a predictor of mortality in cancer patients with cachexia was 3.5. An NLR of 3.5 or greater could independently predict OS (HR, 1.51, 95%CI: 1.33-1.71). These associations were consistent across subtypes of cancer. Several potential effect modifiers were identified including gender, BMI, tumour type, KPS score and albumin in content. Increasing NLRs were independently associated with a worsening in the majority of EORTC QLQ-C30 domains. Elevated baseline NLR was associated with low response and poor survival in patients treated with immunotherapy. CONCLUSIONS: The baseline NLR status was found to be a significant negative prognostic biomarker for patients with cachexia; this effect was independent of other known prognostic factors.

Scored-GLIM as an effective tool to assess nutrition status and predict survival in patients with cancer.

BACKGROUND & AIMS: The Global Leadership Initiative on Malnutrition (GLIM) released new universal criteria for diagnosing and grading malnutrition, and calls for further investigations not only in different clinical setting but also in GLIM itself including reference value, combination and weight of different GLIM criteria. This study aimed to weigh the GLIM criteria and develop a scored-GLIM system, and then validate as well as evaluate its application in nutritional assessment and survival prediction for patients with cancer. DESIGN: A total of 3547 patients in the primary cohort and 415 patients in the validation cohort were included in the study. Patients' nutritional status were retrospectively assessed using the GLIM criteria. Kaplan-Meier survival curves and multivariate Cox regression analyses were performed to analyze the association between nutritional status and overall survival (OS). A nomogram was produced to quantify the GLIM criteria and develop the scored-GLIM system. C-index, receiver operating characteristic (ROC) curve and calibration curve analyses were performed to validate the predictive accuracy and discriminatory capacity of the scored-GLIM. Finally, a decision curve was applied to assess the clinical utility of the scored-GLIM system. RESULTS: In the primary cohort, 70.3% of patients were diagnosed as malnutrition. The malnutrition severity grading according to the GLIM criteria were associated with the prognosis of patients with cancer (HR 1.42, 1.23 to 1.65 for moderate malnutrition; HR 1.80,1.84 to 2.09 for severe malnutrition). The weight of each GLIM criteria was calculated, and unintentional weight loss was the most determining factor acting upon mortality (HR 1.82, 1.64 to 2.10 for stage II and HR 1.50, 1.31 to 1.73 for stage I). A nomogram was constructed by four factors of GLIM to weigh the GLIM criteria. The areas under the ROC curve were 65.3 (1-year ROC) and 65.5 (3-year ROC), and the C-index was 0.62, and the calibration curves fitted well. Decision curve analysis demonstrated the clinical usefulness of the scored-GLIM system. CONCLUSION: The accuracy and net clinical benefit of scored-GLIM system were similar to scored-PG-SGA but higher than GLIM both in nutrition assessment and in survival prediction for patients with cancer. These findings, along with its time-savings advantages over scored-PG-SGA, suggest scored-GLIM be a better nutritional assessment tool.