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BACKGROUND: Several research have indicated the significant potential of the Prognostic Nutritional Index (PNI) as a prognostic biomarker in lymphoma patients. However, there is some inconsistency in the findings of a few studies. Hence, to offer a thorough evaluation of the predictive significance of PNI in lymphoma patients, we performed a meta-analysis to examine the prognostic value of PNI for survival outcomes in lymphoma patients. METHODS: We conducted a comprehensive search for pertinent works published up until December 2023 in databases such as PubMed, EMBASE, Cochrane Library, and Web of Science. We obtained hazard ratio (HR) data related to survival outcomes and computed aggregated HRs with their corresponding 95% confidence intervals (CIs) to evaluate the correlation between PNI and both overall survival (OS) and progression-free survival (PFS) in lymphoma patients. RESULTS: By analyzing data from 1260 patients in 28 studies, we found that PNI levels were associated with prognosis in lymphoma patients. High PNI levels predicted that patients had longer OS (HR: 0.46, 95% CI 0.37-0.58, P < 0.05) and better PFS (HR: 0.56, 95% CI 0.45-0.70, P < 0.05). Subgroup analyses showed that the predictive ability of PNI for patient prognosis may differ depending on the type of lymphoma. In addition, we found that the critical PNI value had greater predictive potential at 40-45 and above 45. CONCLUSION: Our study suggests a strong association between PNI and prognostic outcomes in lymphoma patients, indicating that PNI holds substantial prognostic value in this population.
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Purpose: To evaluate whether the prognostic nutritional index (PNI) is related to the oxygen therapy requirement at hospital admission and to ascertain the prognostic effect of the PNI and the oxygen therapy requirement as predictors of hospital length of stay in patients with moderate to severe coronavirus disease 2019 (COVID-19). Methods: This is a post-hoc analysis in hospitalized patients with moderate to severe COVID-19. The participants were categorized: (1) non-oxygen therapy (moderate COVID-19 not requiring oxygen therapy); (2) nasal cannula therapy (severe COVID-19 requiring nasal cannula oxygen therapy); and (3) high-flow therapy (severe COVID-19 requiring high-flow oxygen therapy). PNI was calculated for each patient according to the following equation: serum albumin [g/dL] × 10 + total lymphocyte count [per mm3] × 0.005. The participants were categorized into malnutrition (PNI <40), mild malnutrition (PNI 40-45), and non-malnutrition (PNI > 45). Results: According to PNI, malnutrition was more prevalent in the high-flow therapy group (94.9%; P < 0.001) with significantly lower PNI compared to both groups even after adjusting for the center and C-reactive protein. Patients in the high-flow therapy group [9 days (95% CI 7.2, 10.7), P < 0.001] and malnutrition status [7 days (95% CI 6.6, 7.4), P = 0.016] showed a significant longer hospital length of stay compared to their counterparts. The multivariable Cox proportional hazard models showed significant associations between both oxygen therapy requirement and PNI categories and hospital discharge. Conclusion: In addition to oxygen therapy requirement, low PNI was associated with longer hospital length of stay. Our findings suggest that PNI could be useful in the assessment of nutritional status related to the prognosis of patients with moderate to severe COVID-19.
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PURPOSE: Circulating tumor cell (CTC) count and the host inflammatory response are two independent predictors for patients with various malignant disease. Several inflammation-based indicators have been demonstrated to have prognostic value in many malignant solid tumors, including systemic immune-inflammation index (SII), neutrophil lymphocyte ratio (NLR), platelet lymphocyte ratio (PLR), and prognostic nutrition index (PNI). The aim of this study was to evaluate the predictive value of the inflammation-based indexes including SII, NLR PLR, and PNI for CTC detection of gastric cancer patients before surgery. METHODS: CTCs were measured using the isolation method by size of epithelial tumor cells and Wright staining for 60 patients with gastric cancer who underwent surgery. The indicators of SII, NLR, PLR, and PNI were calculated based on clinical laboratory testing. RESULTS: The detected CTC number was correlated with extension of tumor invasion (p = 0.037), lymph node metastasis (p < 0.001), and TNM stage (p < 0.001). The CTC detection ratio was significantly correlated with T stage (p = 0.041), lymph node metastasis (p = 0.001), nerve fiber invasion of tumor outside the lymph nodes (p = 0.017), and TNM stage (p < 0.001). Statistical analysis showed that SII (p < 0.001), NLR (p < 0.001), PLR (p < 0.001), and PNI (p < 0.001) were significantly associated with positive CTC count and CTC detection rate. CONCLUSIONS: This study provides evidence that preoperative indicators consisting of SII, NLR, PLR, and PNI are robust predictors for CTC detection in gastric cancer patients undergoing tumor resection.