Predicting short- and long-term outcomes of oncological therapies is crucial for developing effective treatment strategies. Malnutrition and the host immune status significantly affect outcomes in major surgeries.
To assess the value of preoperative prognostic nutritional index (PNI) in predicting outcomes in gastric cancer patients.
A retrospective cohort analysis was conducted on patients undergoing curative-intent surgery for gastric adenocarcinoma between 2009 and 2020. PNI was calculated as follows: PNI=(10 x albumin [g/dL])+(0.005 x lymphocytes [nº/mm3]). The optimal cutoff value was determined by the receiver operating characteristic curve (PNI cutoff=52), and patients were grouped into low and high PNI.
Of the 529 patients included, 315 (59.5%) were classified as a low-PNI group (PNI<52) and 214 (40.5%) as a high-PNI group (PNI≥52). Older age (p=0.050), male sex (p=0.003), American Society of Anesthesiologists score (ASA) III/IV (p=0.001), lower hemoglobin level (p<0.001), lower body mass index (p=0.001), higher neutrophil-lymphocyte ratio (p<0.001), D1 lymphadenectomy, advanced pT stage, pN+ and more advanced pTNM stage were related to low-PNI patient. Furthermore, 30-day (1.4 vs. 4.8%; p=0.036) and 90-day (3.3 vs. 10.5%; p=0.002) mortality rates were higher in low-PNI compared to high-PNI group. Disease-free and overall survival were worse in low-PNI patients compared to high-PNI (p<0.001 for both). ASA III/IV score, low-PNI, pT3/T4, and pN+ were independent risk factors for worse survival.
Preoperative PNI can predict short- and long-term outcomes of patients with gastric cancer after curative gastrectomy. Low PNI is an independent factor related to worse disease-free and overall survival.
Malnutrition is very prevalent in patients with gastric cancer and increases the risk of morbidity and mortality. Adductor pollicis muscle thickness (APMT) appears as an important objective, quick, inexpensive and noninvasive measure to assess the muscle compartment
To compare APMT and other nutritional assessment methods and to correlate these methods with postoperative mortality
Forty-four patients, 29 men and 15 women, mean age of 63±10.2 and ranging from 34-83 years, who underwent nine (20.5%) partial and 34 (77.3%) total gastrectomies due to stomach cancer (stage II to IIIa) were preoperatively assessed by Patient Generated Subjective Global Assessment (PG-SGA), anthropometry and laboratorial profile
APMT better predicted death (p<0.001) on both, dominant and non-dominant hand, and well correlated with albumin (p=0.039) and PG-SGA (p=0.007)
APMT clearly allowed to determine malnutrition and to predict risk of death in patients with gastric cancer.
Developed by Surya MKT