Percorrer por autor "Osterlund, Pia"
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- Get a grip! – Baseline handgrip strength and sarcopenia as predictors of survival in patients with head and neck squamous cell carcinomaPublication . Orell, Helena; Pohju, Anne; Ravasco, Paula; Schwab, Ursula; Osterlund, Pia; Mäkitie, Antti A.Background: Low handgrip strength (HGS) and sarcopenia are common in patients with head and neck squamous cell carcinoma (HNSCC). This study aimed to explore associations between baseline HGS, fat-free mass index (FFMI), nutritional indices, and survival. Methods: This was a prospective observational sub-study of a randomized nutritional intervention trial, including 50 male patients with HNSCC undergoing curative-intent treatment (surgery and/or (chemo)radiotherapy). Sarcopenia was defined as low HGS (<27 kg) and FFMI (<17 kg/m2). Chi-square, Kaplan–Meier, and Cox analyses were used. Results: Low HGS was observed in 16%, low FFMI in 46%, and sarcopenia in 12%. Patients with low HGS had lower body weight, BMI, and FFMI, alongside more malnutrition, elevated CRP, and heavy smoking. Low HGS and sarcopenia were associated with shorter overall survival (HR 3.7, [95% CI 1.5–9.1] and 5.5, [2.2–14.5], respectively); FFMI was not. Adjustment removed significance. Findings should be interpreted cautiously due to the small, all-male cohort size. Conclusion: In this small exploratory cohort HGS may serve as a simple screening surrogate for sarcopenia and survival.
- GLIM in diagnosing malnutrition and predicting outcome in ambulatory patients with head and neck cancerPublication . Orell, Helena Kristiina; Pohju, Anne Katariina; Osterlund, Pia; Schwab, Ursula Sonja; Ravasco, Paula; Mäkitie, AnttiAim: This study aimed to determine the prevalence of malnutrition in a head and neck cancer (HNC) population according to the Global Leadership Initiative on Malnutrition (GLIM) criteria and to assess its relation to survival. The secondary aim was to compare GLIM criteria to Patient–Generated Subjective Global Assessment (PG–SGA) and Nutritional Risk Screening 2002 (NRS 2002) methods. Methods: The assessment was performed in a series of 65 curative patients with newly diagnosed HNC in a nutrition intervention study. Malnutrition was defined as PG-SGA classes BC and nutritional risk as NRS 2002 score ≥3 and was retrospectively diagnosed with GLIM criteria in prospectively collected data at diagnosis. Sensitivity, specificity, and kappa (κ) were analyzed. Predictive accuracy was assessed by calculating the area under curve (AUC) b y receiver operating characteristic (ROC) analysis. Kaplan–Meier and Cox regression analyses were used to evaluate association between malnutrition and overall survival (OS), and disease-free survival (DFS). Results: GLIM-defined malnutrition was present in 37% (24/65) of patients. The GLIM showed 77% sensitivity and 84% specificity with agreement of κ = 0.60 and accuracy of AUC = 0.80 (p < 0.001) with PG-SGA and slightly higher sensitivity (83%) with NRS 2002 (κ = 0.58). Patients with GLIM-defined malnutrition had shorter OS (56 vs. 72 months, HR 2.26, 95% CI 1.07–4.77, p = 0.034) and DFS (37 vs. 66 months, HR 2.01, 95% CI 0.99–4.09, p = 0.054), than well-nourished patients. The adjusted HR was 2.53 (95% CI 1.14–5.47, p = 0.023) for OS and 2.10 (95% CI 0.98–4.48, p = 0.056) for DFS in patients with GLIM-defined malnutrition. Conclusion: A substantial proportion of HNC patients were diagnosed with malnutrition according to the GLIM criteria and this showed a moderate agreement with NRS 2002- and PG–SGA-defined malnutrition. Even though the GLIM criteria had strong association with OS, its diagnostic value was poor. Therefore, the GLIM criteria seem potential for malnutrition diagnostics and outcome prediction in the HNC patient population. Furthermore, NRS 2002 score ≥3 indicates high nutritional risk in this patient group.
