Validation and comparison of prognostic values of GNRI, PNI, and CONUT in newly diagnosed diffuse large B cell lymphoma

Malnutrition defined by Controlling Nutritional Status score was independently associated with prognosis of diffuse large B-cell lymphoma primarily on elderly patients

OBJECTIVES

Controlling Nutritional Status (CONUT) Score is an effective tool for the assessment of malnutrition and proved to be associated with survival of Diffuse large B-cell lymphoma (DLBCL) patients. We investigated the impact of CONUT score on specific subgroups of DLBCL patients, including age and International prognostic Index (IPI) risk groups.

METHODS

Data of 287 newly diagnosed DLBCL in the Third Affiliated Hospital of Soochow University were retrospectively collected. Baseline CONUT score, clinical data and survival information were recorded.

RESULTS

With the standard cut-off value of 4 points, 88 (30.7%) patients were clarified as malnourished. During a median follow-up of 34 months, malnourished patients exhibited significant reduction in both progression-free survival (PFS) and overall survival (OS). The 3-year PFS rates for malnourished and well-nourished patients were 51.4% and 70.9% (p = 0.001), while the 3-year OS rates were 62.4% and 84.0% (p < 0.001). Malnutrition was demonstrated an independent predictor of OS in DLBCL patients (HR 2.220, 95% CI 1.307-3.772, p = 0.003). It could effectively identify patients with inferior OS in both low/intermediate-low risk and intermediate-high/high risk IPI groups. In the group of elderly patients aged over 60 years, malnutrition was independently associated with OS (HR 2.182, 95% CI 1.178-4.040, p = 0.024), but not PFS (HR 1.709, 95% CI 1.016-2.875, p = 0.070) after adjustment using the Benjamini-Hochberg procedure. Conversely, for younger patients, malnutrition did not demonstrate an independent impact on either PFS or OS.

CONCLUSION

Malnutrition evaluated by CONUT score was an independent predictor for the outcome of DLBCL patients, which is exclusively caused by its effect on elderly patients.

Optimizing Autologous Stem Cell Transplantation in Multiple Myeloma: The Significance of Pre-Transplant Controlling Nutritional Status Score

Nutritional status is an important prognostic factor in patients with multiple myeloma (MM). The Controlling Nutritional Status (CONUT) score has shown promise in predicting outcomes in various malignancies; however, its role in autologous stem cell transplantation (ASCT) in patients with MM remains unclear. This study aimed to evaluate the significance of pre-transplant CONUT scores in predicting post-transplant engraftment kinetics and early complications in patients with MM undergoing ASCT. This single-center, retrospective study analyzed 59 multiple myeloma patients who underwent ASCT between 1 October 2022, and 1 July 2024. Pre-transplant CONUT scores were calculated, and their associations with various post-transplant outcomes were assessed using statistical analyses. Higher CONUT scores were independently associated with longer neutrophil engraftment times (p = 0.012). Patients who developed oral mucositis (OM) had significantly higher CONUT scores than those without OM (p = 0.028). A CONUT score cut-off of 2.5 demonstrated 100% sensitivity and 57.14% specificity in predicting OM (Area Under the Curve (AUC) 0.792, 95% CI: 0.654-0.930, p = 0.033). Our study demonstrates that a higher pre-transplant CONUT score is significantly associated with a delay in neutrophil engraftment and an increased risk of developing oral mucositis. These findings suggest that the CONUT score can serve as a valuable predictive tool for early post-transplant complications, thereby guiding targeted interventions and improving patient management.

Prognostic value of the controlling nutritional status (CONUT) score in patients with diffuse large B-cell lymphoma: a meta-analysis

BACKGROUND

The significance of the controlling nutritional status (CONUT) score in predicting the prognostic outcomes of diffuse large B-cell lymphoma (DLBCL) has been widely explored, with conflicting results. Therefore, the present meta-analysis aimed to identify the prognostic significance of the CONUT in DLBCL by aggregating current evidence.

METHODS

The Web of Science, PubMed, Embase, CNKI and Cochrane Library databases were searched for articles from inception to October 15, 2024. The prognostic value of CONUT for DLBCL was analyzed by determining the pooled hazard ratios (HRs) with 95% confidence intervals (CIs). The Newcastle-Ottawa Scale (NOS) was used to analyze study quality.

RESULTS

Eight studies including 2687 cases were included in this work. The NOS scores of these studies were 7-9 (median, 8), demonstrating high quality. Our analyses revealed that an elevated CONUT score significantly predicted poor overall survival (OS) (HR = 1.63, 95%CI = 1.29-2.05, p < 0.001) and inferior progression-free survival (PFS) (HR=1.22, 95%CI = 1.12-1.33, p < 0.001) in patients with DLBCL. Further, the elevated CONUT score showed a significant correlation with the following clinicopathological factors in DLBCL: Ann Arbor stage III-IV, Eastern Cooperative Oncology Group Performance Status (ECOG PS) of 2-4, presence of extranodal disease, ≥high intermediate National Comprehensive Cancer Network International Prognostic Index (NCCN IPI), presence of B symptoms, elevated lactose dehydrogenase (LDH) levels, and presence of bone marrow infiltration.

CONCLUSIONS

An increased CONUT score was dramatically associated with poor OS and PFS in patients with DLBCL, as well as with clinicopathological characteristics representing DLBCL tumor development.

Predicting severity of inpatient acute cholangitis: combined neutrophil-to-lymphocyte ratio and prognostic nutritional index

The indicators for rapid assessment of the severity of acute cholangitis remain highly debated. Therefore, this study aimed to evaluate the efficacy of various inflammatory and immune-nutritional markers in predicting the severity of acute cholangitis. The prognostic roles of the following markers were investigated: Systemic Immune-Inflammatory Index (SII), Neutrophil-to-Lymphocyte Ratio (NLR), Platelet-to-Lymphocyte Ratio (PLR), Albumin (Alb), and Prognostic Nutritional Index (PNI). A total of 139 patients with acute cholangitis were included in the study. The inflammatory and immune-nutritional markers with better predictive efficacy were selected to construct a combined predictive score. According to the survival ROC curve analysis, the combined NLR and PNI score, termed PNS, demonstrated the best prognostic performance with an AUC of 0.853. Multivariable survival analysis identified the following independent prognostic factors: PNS (p = 0.010) and Prothrombin Time (PT) (p = 0.003). The results indicate that PNS = 2 is associated with a higher incidence of severe cholangitis.

Predictive value of prognostic nutritional index as prognostic biomarkers in patients with lymphoma: a systematic review and meta-analysis

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.

The controlling nutritional status score as a predictor of survival in hematological malignancies: a systematic review and meta-analysis

Objective

The controlling nutritional status score (CONUT) has been widely used for ascertaining the prognosis of various cancers. However, its use in patients with hematological malignancies remains unclear. This review examined evidence on the utility of CONUT as a prognostic marker for patients with hematological malignancies.

Methods

All cohort studies that examined the association between CONUT and outcomes of hematological malignancies and were published on the databases of Embase, Scopus, CENTRAL, Web of Science, and PubMed were searched from the inception of the databases to 30 January 2024. The primary outcome was overall survival (OS), and the secondary outcome was progression-free survival (PFS).

Results

A total of 23 studies were available for review. A meta-analysis of 22 studies showed that high CONUT was significantly associated with poor OS in patients with hematological malignancies (HR: 1.95 95% CI: 1.62, 2.35 I 2 = 89%). The results remained unchanged on sensitivity and subgroup analyses based on study location, sample size, diagnosis, CONUT cutoff, and the Newcastle-Ottawa Scale score. Only six studies reported data on PFS, and the pooled analysis found that high CONUT was a significant marker for poor PFS in patients with hematological malignancies [hazards ratio (HR): 1.64 95% CI: 1.21, 2.20 I 2 = 70%]. These results, too, maintained significance in the sensitivity analysis.

Conclusion

CONUT is an independent predictor of poor OS in patients with hematological malignancies. The results appear to be valid across different cancer types and with different CONUT cutoffs. Scarce data also suggest that CONUT could predict PFS.

Clinical significance of geriatric nutritional risk index in esophageal squamous cell carcinoma receiving neoadjuvant immunotherapy

OBJECTIVE

The geriatric nutritional risk index (GNRI) is a novel nutrition-related indicator designed to predict the risk of clinical outcomes in various cancers. The clinical significance of risk assessment, therapeutic response, and prognostic prediction of GNRI in esophageal squamous cell carcinoma (ESCC) receiving neoadjuvant immunochemotherapy (NICT), a hot point of treatment these days, have not been documented in any research.

METHODS

Two hundred and twenty-four cases with ESCC who underwent radical resection after NICT were retrospectively recruited. Using the calculation formula of GNRI (1.489 × albumin (g/L) + 41.7 × current weight/ideal weight), the cases were split into two cohorts. Analysis was done on the connections between GNRI and clinical outcomes, such as clinical features, postoperative complications, and pathological complete response (pCR). Prognostic factors of overall survival (OS) and disease-free survival (DFS) were also performed.

RESULTS

Patients were then categorized as low (n = 139) or high (n = 85) group based on the threshold. After radical surgery, 67 patients achieved pCR (29.9%). Higher pCR rates were attained by patients in the high GNRI group (41.2% vs. 23.0%, P = 0.004). Lower GNRI patients experienced a considerably higher severe morbidity (36.7% vs. 23.5%, P = 0.040), particularly in the case of respiratory complications (28.8% vs. 14.1%, P = 0.012). Compared to high GNRI patients, lower GNRI cases had inferior 3-year OS (68.5% vs. 87.3%, P = 0.003) and DFS (64.8% vs. 81.5%, P = 0.002). It was also discovered that GNRI was a significant independent variable of both DFS [hazard ratios (HR) = 0.436, P = 0.009] and OS (HR = 0.294, P = 0.012).

CONCLUSION

The GNRI, based on nutrition-related indicators, was independently related to postoperative complications, pCR prediction, and prognostication in ESCC receiving NICT.

Prognostic and clinicopathological significance of the Controlling Nutritional Status (CONUT) score in patients with lymphoma: a meta-analysis

OBJECTIVES

The role of the Controlling Nutritional Status (CONUT) scores in predicting the prognosis of lymphoma cases has been extensively explored, with no consistent results. The present meta-analysis focused on accurately evaluating whether CONUT could be used to predict the prognosis of lymphoma cases and its clinicopathological value.

DESIGN

The present meta-analysis was reported following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The prognostic significance of CONUT to overall survival (OS) and progression-free survival (PFS) in lymphoma was estimated by calculating pooled HRs with 95% CIs. The relationship between CONUT and clinicopathological characteristics was measured based on pooled ORs with 95% CIs.

DATA SOURCES

PubMed, Web of Science, Embase and Cochrane Library databases were comprehensively searched from inception through 24 March 2023.

STATISTICAL METHODS

Either a random-effects model or a fixed-effects model was selected depending on the level of heterogeneity among the included studies.

RESULTS

This meta-analysis enrolled seven articles, containing 2060 patients with lymphoma. According to the pooled analysis, a higher CONUT score significantly predicted poor OS (HR=1.94, 95% CI 1.46 to 2.57, p<0.001) as well as poorer PFS (HR=1.51, 95% CI 1.04 to 2.20, p=0.031). Furthermore, according to the combined analysis, a higher CONUT score was significantly associated with Ann Arbor stages III-IV (OR=3.75, 95% CI 2.96 to 4.75, p<0.001), an Eastern Cooperative Oncology Group performance status of 2-4 (OR=5.14, 95% CI 3.97 to 6.65, p<0.001), high-intermediate/high National Comprehensive Cancer Network International Prognostic Index (OR=8.05, 95% CI 5.11 to 12.66, p<0.001), B symptoms (OR=4.97, 95% CI 2.89 to 8.52, p<0.001), extranodal disease (OR=3.25, 95% CI 2.24 to 4.70, p<0.001), bone marrow involvement (OR=4.86, 95% CI 3.25 to 7.27, p<0.001) and elevated lactate dehydrogenase levels (OR=3.21, 95% CI 2.37 to 4.34, p<0.001).

CONCLUSIONS

According to our results, higher CONUT scores were significantly associated with poor OS and PFS in lymphoma.

The pretreatment Controlling Nutritional Status score is an independent prognostic factor in elderly patients with diffuse large B-cell lymphoma

Predicting prognosis is crucial in older patients with diffuse large B-cell lymphoma (DLBCL). This study evaluated the prognostic impact of the controlling nutritional status (CONUT) score, a simple nutritional index, for older DLBCL patients (≥65 years of age) treated with R-CHOP-like regimens in a retrospective, cohort study including 203 patients. The CONUT score was an independent prognostic factor for overall survival (hazard ratio 1.11, 95% confidence interval (CI) 1.01-1.21, p = 0.032) in a multivariable Cox proportional hazards model. On receiver-operating characteristic analysis, the optimal cutoff value was 3. The CONUT score (≥3 or <3) effectively stratified older DLBCL patients, regardless of the International Prognostic Index (p = 0.71 for interaction). Further, the CONUT score independently affected initial dose intensity (odds ratio 0.84, 95% CI 0.73-0.95, p = 0.008), likely reflecting the patients' status at diagnosis and affecting dose adjustments. In conclusion, the CONUT score is associated with a poorer prognosis in older DLBCL patients.

Prognostic value of geriatric nutritional risk index in patients with diffuse large B-cell lymphoma: a meta-analysis

BACKGROUND

Geriatric nutritional risk index (GNRI) on the prognosis of patients with diffuse large B-cell lymphoma (DLBCL) remains unclear. The purpose of this meta-analysis was to discuss the value of the GNRI in evaluating long-term outcomes in DLBCL.

METHODS

We systematically and roundly retrieved PubMed, Cochrane Library, Embase, Scopus and Web of Science electronic databases from inception of the databases to March 20, 2023. At the same time, we calculated the pool hazard ratios (HRs) with their 95% confidence interval (CI) for overall survival and progression-free survival to assess the effect of GNRI on the prognosis of DLBCL patients.

RESULTS

In our primary meta-analysis, 7 trials with a total of 2448 patients were enrolled. Results showed that lower level of GNRI was related to poorer overall survival (HR = 1.78, 95% CI 1.27, 2.50, p < 0.01) and worse progression-free survival (HR = 2.31, 95% CI 1.71, 3.13, p < 0.01) in DLBCL patients.

CONCLUSION

The results of our meta-analysis indicate that a lower GNRI significantly associated with poorer prognosis for DLBCL. It is believed that GNRI was a promisingly predictive indicator of survival outcomes in DLBCL patients. However, large multicenter prospective studies are necessary to verify the results.

A Novel Inflammatory-Nutritional Prognostic Scoring System for Patients with Diffuse Large B Cell Lymphoma

Purpose

This study aimed to examine the predictive ability of inflammatory and nutritional markers and further establish a novel inflammatory nutritional prognostic scoring (INPS) system.

Patients and Methods

We collected clinicopathological and baseline laboratory data of 352 patients with DLBCL between April 2010 and January 2023 at the First affiliated hospital of Ningbo University. Eligible patients were randomly divided into training and validation cohorts (n = 281 and 71, respectively) in an 8:2 ratio. We used the least absolute shrinkage and selection operator (LASSO) Cox regression model to determine the most important factors among the eight inflammatory-nutritional variables. The impact of INPS on OS was evaluated using the Kaplan-Meier curve and the Log rank test. A prognostic nomogram was developed based on the multivariate Cox regression method. Then, we used the concordance index (C-index), calibration plot, and time-dependent receiver operating characteristic (ROC) analysis to evaluate the prognostic performance and predictive accuracy of the nomogram.

Results

Seven inflammatory-nutritional biomarkers, including neutrophil-lymphocyte ratio (NLR), prognostic nutritional index (PNI), body mass index (BMI), monocyte-lymphocyte ratio (MLR), prealbumin, C reactive protein, and D-dimer were selected using the LASSO Cox analysis to construct INPS, In the multivariate analysis, IPI-High-intermediate group, IPI-High group, high INPS were independently associated with OS, respectively. The prognostic nomogram for overall survival consisting of the above two indicators showed excellent discrimination. The C-index for the nomogram was 0.94 and 0.95 in the training and validation cohorts. The time-dependent ROC curves showed that the predictive accuracy of the nomogram for OS was better than that of the NCCN-IPI system.

Conclusion

The INPS based on seven inflammatory-nutritional indexes was a reliable and convenient predictor of outcomes in DLBCL patients.

Integrative Approaches in the Treatment of Patients Affected by Lymphoma

PURPOSE OF REVIEW

Lymphoma is the most frequent hematological malignancy with wide disease spectrum of watchful waiting period, active treatment, survivorship, and palliative care. All these steps impose unmet needs in terms of prevention, symptom alleviation, or prognosis. Complementary and integrative medicine (CIM) is widely used by patients with lymphoma to cope with such issues. Here, we describe the different CIM modalities that may be effective and safe for the management of patients with lymphoma.

RECENT FINDINGS

Low inflammatory diet and ginseng seem effective for lymphoma prevention. Pain and neuropathy may be improved using acupuncture, touch therapy and specific dietary supplements. Nausea/vomiting, fatigue, and insomnia may be relieved by acupuncture, mind-body, touch therapy, and certain dietary supplements. Vitamin D, curcumin, and some traditional medicine herbs may positively impact lymphoma prognosis. Finally, safety issues should be considered especially for the concomitant use of dietary supplements and lymphoma-directed therapies. CIM may be beneficial along the continuum of lymphoma management although safety concerns should be considered when used concomitantly with conventional therapy.

Prognostic impact of pretreatment skeletal muscle index and CONUT score in diffuse large B-cell Lymphoma

BACKGROUND

Although the prognostic value of the Controlling Nutritional Status (CONUT) score in diffuse large B-cell lymphoma (DLBCL) has been reported in several previous studies, its clinical relevance for the presence of sarcopenia has not been assessed.

METHODS

In this study, 305 DLBCL patients were reviewed. They were categorized into normal/mild (n = 219) and moderate/severe (n = 86) CONUT groups. Sarcopenia was assessed using the L3-skeletal muscle index measured by baseline computed tomography imaging. Based on CONUT score and sarcopenia, patients were grouped: A (normal/mild CONUT and no sarcopenia), B (either moderate/severe CONUT or sarcopenia, but not both), and C (both moderate/severe CONUT and sarcopenia).

RESULTS

The moderate/severe CONUT group showed higher rates of ≥ grade 3 febrile neutropenia, thrombocytopenia, non-hematologic toxicities, and early treatment discontinuation not related to disease progression, compared to the normal/mild CONUT group. The moderate/severe CONUT group had a lower complete response rate (58.1% vs. 80.8%) and shorter median overall survival (18.5 vs. 162.6 months) than the normal/mild group. Group C had the poorest prognosis with a median survival of 8.6 months, while groups A and B showed better outcomes (not reached and 60.1 months, respectively). Combining CONUT score and sarcopenia improved the predictive accuracy of the Cox regression model (C-index: 0.763), compared to the performance of using either CONUT score (C-index: 0.754) or sarcopenia alone (C-index: 0.755).

CONCLUSIONS

In conclusion, the moderate/severe CONUT group exhibited treatment intolerance, lower response, and poor prognosis. Additionally, combining CONUT score and sarcopenia enhanced predictive accuracy for survival outcomes compared to individual variables.

A nomogram prognostic model for diffuse large B-cell lymphoma based on SUVmax and GNRI in elderly patients

To establish a nomogram for elderly patients with diffuse large B-cell lymphoma (DLBCL) based on nutritional and imaging features. The data of 221 elderly pretreatment DLBCL patients were retrospectively analyzed. All cases were randomly separated into the training group and validation group. A nomogram was built based on the results of multivariate analysis. A nomogram was established based on maximum standardized uptake value (SUVmax), geriatric nutritional risk index (GNRI), and lactate dehydrogenase. The concordance index (C-index) of the nomogram was 0.772 for the training group and 0.729 for the validation group, and similar results were found in the area under the curve (AUC). The calibration curve showed favorable consistency between prediction and real survival. The decision curve analysis (DCA) also showed that the nomogram had favorable clinical effectiveness. The new risk-stratification model divided patients into three groups with obvious survival. The C-index and AUCs for the new model were greater than those of IPI and NCCN-IPI. The DCA curve suggested that the new model had better clinical effectiveness than the IPI and NCCN-IPI. The nomogram prognostic model based on SUVmax and GNRI performed superior to NCCN-IPI and equal to IPI for risk stratification of elderly DLBCL patients.

Geriatric nutritional risk index as a predictor of prognosis in hematologic malignancies: a systematic review and meta-analysis

Objective

Recent studies have reported inconsistent results regarding the association between geriatric nutritional risk index (GNRI) and clinical outcomes in patients with hematologic malignancies (HMs). We performed a meta-analysis to evaluate the effect of low GNRI on the overall survival (OS) and progression-free survival (PFS) in patients with HMs.

Research Methods and Procedures

We conducted the research via PubMed, Embase, and Cochrane Library databases to identify trials. Exploring the association between GNRI and prognosis in patients with HMs. A meta-analysis of OS and PFS was performed. Quality In Prognostic Studies instrument and Newcastle-Ottawa quality assessment Scale were used to assess the quality of included trials.

Results

Fourteen studies enrolling 3,524 patients with HMs were included. Low GNRI was associated with shorter OS (Hazard ratio (HR) = 1.77; 95% CI = 1.44-2.18, p < 0.01) and PFS (HR = 1.63; 95% CI = 1.17-2.27, p < 0.01) in patients with HMs. In the subgroup analysis, GNRI was not significantly associated with prognosis in Chinese patients with HMs (OS, HR =1.33; 95% CI = 0.89-1.98, p = 0.16; PFS, HR = 1.70; 95% CI = 0.72-4.01, p = 0.23). For the subgroup with a GNRI cutoff value less than 98, there was no significant difference in PFS (HR = 1.34; 95% CI = 0.98-1.83, p = 0.06).

Conclusion

Low GNRI negatively impacted on the prognosis in patients with HMs. Prospective studies to identify the best cut-off value for GNRI are required.

Nutritional Status Indices and Monoclonal Gammopathy of Undetermined Significance Risk in the Elderly Population: Findings from the National Health and Nutrition Examination Survey

OBJECTIVE

Although several studies have found dietary intake is related to multiple myeloma (MM) and its precursor status risks, the role of one's nutritional status has been ignored and its role in plasma cell neoplasm development is still unclear. This study aimed to explore the relationship between various clinical indices of nutritional status and the risk of monoclonal gammopathy of undetermined significance (MGUS) in the population.

METHODS

We selected 9520 participants from the NHANES III and NHANES 1999-2004 studies. Controlling nutritional status index (CONUT), prognostic nutritional index (PNI), geriatric nutritional risk index (GNRI) and body mass index (BMI) were calculated as indices of nutritional status of the participants. Associations between nutritional indices and MGUS were investigated using multiple logistic regression, subgroup analysis, and an RCS model.

RESULTS

In our study, 266 participants had MGUS, with a prevalence of 2.79%. This study found that CONUT and PNI identified populations with poor nutritional status and had a significant positive correlation with the risk of MGUS. In multivariate logistic regression, compared with the lower CONUT score (<3) group, the OR for the group with higher scores (≥3) was 1.805 (95%CI: 1.271, 2.564). Compared with the lowest quartile group, the highest quartile PNI score group had an OR of 0.509 (95%CI: 0.290, 0.896). GNRI had no significant correlation with the risk of MGUS, with an OR of 0.737 (95%CI: 0.443, 1.227).

CONCLUSION

This study found that older adults with CONUT and PNI scores indicating poorer nutrition had a higher risk of MGUS.

The utility of CONUT score in indolent lymphoma patients

Background and Aim

Similar to the uncertainties in the treatment criteria for indolent non-Hodgkin lymphoma (iNHL), the prognostic criteria have not been fully clarified. The Controlled Nutritional Status (CONUT) score is not only used as a predictor of malnutrition but also indicates prognosis in many chronic or malignant diseases. The aim of this study is to investigate the predictive and prognostic significance of the CONUT score in patients with iNHL.

Patients and Methods

A retrospective evaluation was made of 109 patients with iNHL. The CONUT scores of the patients were compared between those with an indication for treatment and those followed without treatment. The same analysis was performed between patients who developed relapse after treatment. Survival analysis was performed on all patients, and associations between survival and the CONUT score were examined.

Results

The median CONUT score was found to be higher in those who had treatment indications compared to those who did not (2 vs 1; P = 0.014). In the regression model, a CONUT absolute value above 5 was found as an independent risk factor predicting relapse. In the whole study population, a CONUT absolute value >2 predicted the risk of mortality with 53.9% sensitivity and 68.7% specificity (AUC ± SE = 0.639 ± 0.07; +PV = 35%; -PV = 82.6%; P = 0.034).

Conclusion

CONUT score is a predictive and prognostic factor for patients with iNHL. The development of simple, low-budget prognostic and predictive biomarkers is critical not only for determining the course of the disease but also for follow-up and treatment management.

Prognostic relevance of sarcopenia, geriatric, and nutritional assessments in older patients with diffuse large B-cell lymphoma: results of a multicentric prospective cohort study

This prospective study aimed to investigate the prognostic effect of sarcopenia, geriatric, and nutritional status in older patients with diffuse large B-cell lymphoma (DLBCL). Ninety-five patients with DLBCL older than 70 years who were treated with immunochemotherapy were included. The lumbar L3 skeletal muscle index (L3-SMI) was measured by computed tomography at baseline, and sarcopenia was defined as low L3-SMI. Geriatric assessment included G8 score, CIRS-G scale, Timed Up and Go test, and instrumental activity of daily living. Nutritional status was assessed using the Mini Nutritional Assessment and the body mass index, and several scores used in the literature incorporating nutritional and inflammatory biomarkers, namely the Nutritional and inflammatory status (NIS), Geriatric Nutritional Risk Index, Prognostic Nutritional Index, and Glasgow Prognostic Score.Fifty-three patients were considered sarcopenic. Sarcopenic patients displayed higher levels of inflammation markers and lower levels of prealbumin than non-sarcopenic patients. Sarcopenia was associated with NIS, but was not associated with severe adverse events and treatment disruptions. They were, however, more frequent among patients with elevated NIS. Sarcopenia did not appear in this study as a prognostic factor for progression-free survival (PFS) or overall survival (OS). However, NIS emerged as predictive of the outcome with a 2-year PFS rate of 88% in the NIS ≤ 1 group and 49% in the NIS > 1 group and a significant effect in a multivariate analysis for both PFS (p = 0.049) and OS (HR = 9.61, CI 95% = [1.03-89.66], p = 0.04). Sarcopenia was not associated with adverse outcomes, but was related to NIS, which appeared to be an independent prognostic factor.

COntrolling NUTritional Status (CONUT) as Predictive Score of Hospital Length of Stay (LOS) and Mortality: A Prospective Cohort Study in an Internal Medicine and Gastroenterology Unit in Italy

BACKGROUND

Hospital malnutrition affects nearly 30% of patients in medical wards and correlates with worse outcomes. An early assessment is necessary to stratify the risk of short-term outcomes and mortality. The predictive role of COntrolling NUTritional status (CONUT) score in this context has not yet been elucidated in Western countries. We aimed to test CONUT at admission as a predictive score of hospital outcomes, in an Internal Medicine and Gastroenterology Department of an Italian Tertiary Care University hospital.

METHODS

We prospectively enrolled patients admitted to our center, stratifying them into the four CONUT classes (normal = 0-1; mild = 2-4; moderate = 5-8; severe = 9-12 points) according to serum albumin (g/dL), total lymphocyte count (/mm³), and total cholesterol (mg/dL); the primary outcome measure was length of stay (LOS) and the secondary one was in-hospital mortality.

RESULTS

Out of a total of 203 patients enrolled, 44 (21.7%) patients had a normal status (0-1), 66 (32.5%) had a mild impairment (2-4), 68 (33.5%) had a moderate impairment (5-8), and 25 (12.3%) a severe impairment (9-12). The mean LOS was 8.24 ± 5.75 days; nine patients died. A moderate-severe CONUT correlated with a higher LOS at the univariate [HR 1.86 (95% CI 13.9-3.47); p < 0.0001] and multivariate analysis [HR 1.52 (95% CI 1.10-2.09); p = 0.01]. The CONUT score was also a predictor of mortality, with an AUC of 0.831 (95% CI 0.680-0.982) and with an optimal cut-off at 8.5 points. Nutritional supplementation within 48 h from admission correlated with lower mortality [OR 0.12 (95% CI 0.02-0.56) p = 0.006].

CONCLUSIONS

CONUT is a reliable and simple predictor of LOS and in-hospital mortality in medical wards.

The Prognostic Impact of Pretreatment Geriatric Nutritional Risk Index in Patients with Diffuse Large B-Cell Lymphoma

The prognostic value of the geriatric nutritional risk index (GNRI) is not clear in patients with diffuse large B-cell lymphoma (DLBCL). This study was designed to analyze the GNRI in DLBCL patients and to investigate its prognostic value in DLBCL. The archive records of DLBCL patients between 2008 and 2020 at the Akdeniz University Hospital were retrospectively analyzed. A total of 206 patients with DLBCL were recruited and classified into two GNRI-based groups based on nutrition status. The GNRI cut off value was determined by ROC analysis. In the univariate Cox regression analysis for overall survival (OS), age, lactate dehydrogenase, B symptoms, infiltration of bone marrow, and the GNRI were determined as prognostic factors for mortality. The OS of patients with a GNRI ≤104.238 was significantly lower than that of patients with a GNRI >104.238 (p = 0.001). The progression-free survival (PFS) of patients with GNRI ≤104.238 was significantly lower compared to the patients with GNRI >104.238 (p = 0.010). Based on the results of the present study with a relatively large hospital-based cohort, the GNRI can be recommended for use as an independent prognostic marker for OS and PFS in patients with DLBCL.

The preoperative geriatric nutritional risk index predicts long-term prognosis in elderly locally advanced rectal cancer patients: a two-center retrospective cohort study

BACKGROUND

The objective is to explore the value of preoperative geriatric nutritional risk index (GNRI) in evaluating long-term prognosis in elderly locally advanced rectal cancer (LARC) patients who accepted neoadjuvant chemoradiotherapy (NCRT) and to compare GNRI with established nutritional markers, including prognostic nutritional index (PNI) and controlling nutritional status (CONUT) score.

METHODS

Preoperative GNRI was retrospectively assessed in 172 LARC patients aged ≥ 60 years who underwent radical resection after NCRT at two centers. Optimal cutoff value of GNRI was determined by X-tile program. The association of GNRI with clinicopathological parameters and nutritional markers was analyzed. The survival ability of markers was evaluated using time-dependent receiver-operating characteristic (ROC) curve analysis. Finally, survival analysis was performed using Kaplan-Meier and Cox regression analysis.

RESULTS

GNRI was highly correlated with nutritional markers. An optimal cutoff value for the GNRI was 96. In the time-dependent ROC curve, GNRI demonstrated a stable predictive ability for both disease-free survival (DFS) and overall survival (OS). Multivariate analysis showed that GNRI was the only nutritional marker that independently predicted DFS (HR 2.457, 95% CI 1.066-5.665, P = 0.035) and OS (HR 9.002, 95% CI 3.100-26.146, P < 0.001). As an additional benefit, GNRI was able to stratify survival in subgroups of ypTNM and tumor response.

CONCLUSION

Preoperative GNRI is a promising predictor of long-term survival for elderly LARC patients undergoing NCRT, superior to the established nutritional markers.

Prognostic and clinicopathological role of geriatric nutritional risk index in patients with diffuse large B-cell lymphoma: A meta-analysis

Background

Previous studies have explored the relationship between the geriatric nutritional risk index (GNRI) and survival outcomes of diffuse large B-cell lymphoma (DLBCL) cases, but the results were inconsistent. Consequently, the present meta-analysis was conducted to investigate how GNRI affects DLBCL and its function in terms of prognosis.

Methods

The Web of Science, PubMed, Embase, and Cochrane Library databases were thoroughly searched until January 18, 2023. We calculated combined hazard ratios (HRs) and 95% confidence intervals (CIs) to estimate the relationship between the GNRI and survival outcomes of patients with DLBCL.

Results

This meta-analysis included seven articles involving 2,353 cases. A lower level of GNRI predicted dismal overall survival (HR=1.40, 95% CI=1.25-1.56, p<0.001) and inferior progression-free survival (HR=1.46, 95% CI=1.19-1.80, p<0.001) of DLBCL patients. Moreover, a low GNRI was significantly related to Eastern Cooperative Oncology Group Performance Status ≥2 (odds ratio [OR]=4.55, 95% CI=2.75-7.54, p<0.001), Ann Arbor stage III-IV (OR=2.91, 95% CI=2.38-3.57, p<0.001), B symptoms (OR=3.51, 95% CI=2.34-5.29, p<0.001), and extranodal disease (OR=2.90, 95% CI=2.32-3.63, p<0.001).

Conclusion

A lower GNRI level predicted poorer short- and long-term prognosis in patients with DLBCL. A low GNRI was correlated with clinical factors of disease progression in DLBCL patients.

Dietary patterns, nutritional status, and mortality risks among the elderly

Introduction

While most epidemiological studies have focused on the effects of individual dietary patterns and nutritional status on health, the relationships between the combinations of these factors and patient prognosis requires further investigation.

Objective

This study explored mortality risk in individuals with different combinations of dietary patterns or nutritional status.

Methods

Unsupervised K-means clustering was used to classify populations. The analyses included Cox proportional risk and competing risk models.

Results

After considering a complex sampling design, the results showed that among 12,724 participants aged >60 years, 6.99% died from cancer and 10.47% from cardiovascular and cerebrovascular disease (CCVD). After correcting for participant baseline information and chronic conditions, the geriatric nutritional risk index and healthy eating index (HEI) were negatively associated with the risk of all-cause and cause-specific mortality. The opposite was true for the dietary inflammatory index (DII). After sorting the population three clusters based on study scores showed higher risks of all-cause mortality and cancer-related death in Cluster 2 and 3.

Discussion

These results suggest that different nutritional status and dietary patterns are associated with the risk of all-cause mortality and death from cancer and CCVD in people aged >60 years in the United States. Dietary patterns with high HEI and low DII were beneficial to health, whereas nutritional status needs to be maintained at a level that is not too low.

Prognostic impact of the controlling nutritional status score in patients with hematologic malignancies: A systematic review and meta-analysis

Background

An increasing number of studies have validated the prognostic significance of the controlling nutritional status (CONUT) score in patients with solid tumors. However, the extent of the correlation between the CONUT score and clinical outcomes of patients with hematologic malignancies is unclear.

Objective

This study aimed to investigate the prognostic role of the CONUT score in patients with hematologic malignancies.

Methods

All relevant articles published up to November 15, 2021, were identified by systematically searching PubMed, Embase, Web of Science, and Cochrane Library. Pooled hazard ratios (HRs) and 95% confidence intervals were used to quantitatively analyze the association between the CONUT scores and clinical outcomes of patients with hematologic malignancies. Subgroup and sensitivity analyses were performed. Funnel plots as well as Begg’s and Egger’s tests were used to assess publication bias.

Results

Six studies with 1811 patients were included in the meta-analysis. The results showed that a high CONUT score was associated with worse overall survival (OS) (HR=1.34, 95%CI 1.14-1.59, P &lt; 0.001) and progression-free survival (PFS) (HR=1.20, 95%CI 1.10-1.32, P &lt; 0.001).

Conclusions

The CONUT score is an independent prognostic factor in patients with hematologic malignancies.

Systematic review registration

http://www.crd.york.ac.uk/prospero/, identifier CRD42021292621.

Associations of Overall Survival with Geriatric Nutritional Risk Index in Patients with Advanced Pancreatic Cancer

Nutritional assessment is critical in cancer care to maintain quality of life and improve survival. The Geriatric Nutritional Risk Index (GNRI) may be a practical tool to assess nutritional status and predict survival. This study aimed to examine survival using GNRI in advanced-stage pancreatic cancer (PC). The retrospective analysis used data of patients with stage III or IV PC. Inclusion criteria: age > 18 and hospital admission for at least three days at or following diagnosis between 2014 and 2017. Data collected: demographics, albumin levels, BMI and weight. Days between the first and last admission, median survival and GNRI scores calculated. Patients categorized into groups: any nutritional risk (GNRI ≤ 98) and no nutritional risk (GNRI > 98). 102 patients had a median survival of 87.5 days and mean GNRI of 98.7. Patients surviving longer than 90 days showed higher mean weight (p = 0.0128), albumin (p = 0.0002) and BMI (p = 0.0717) at the first admission. Mean survival days for patients at any nutritional risk were 110 days compared to 310 days for no nutritional risk (p = 0.0002). GNRI score at first admission after diagnosis is associated with survival. It is vital to monitor nutritional status using weight and albumin to promote increased survival from diagnosis.

Prognostic role of controlling nutritional status score in hematological malignancies

BACKGROUND

Controlling nutritional status (CONUT) score, based on three indexes including serum albumin (ALB), total cholesterol (CHO), and absolute lymphocyte count (ALC), has been closely associated with the prognosis of cancer patients. Multiple studies revealed the significance of CONUT score in hematological malignancies, including diffuse large B-cell lymphoma (DLBCL), peripheral T-cell lymphoma (PTCL), multiple myeloma (MM), and leukemia.

OBJECTIVE

This review aimed to explore the prognostic role of CONUT score in hematological malignancies.

METHODS

We conducted this review through Pubmed to summarize the published studies on the CONUT score in hematological malignancies, using the terms: Controlling nutritional status, CONUT score, hematological malignancy, lymphoma, multiple myeloma, and leukemia.

RESULT

CONUT score can reflect not only the nutritional status but also the inflammatory status of patients with hematological malignancies. It can assist in predicting the survival of patients with DLBCL, PTCL, MM, adult T-cell leukemia (ATL), myelodysplastic syndrome (MDS), and acute myeloid leukemia with myelodysplasia related changes (AML-MRC).

CONCLUSION

CONUT score plays an important role in predicting the prognosis of patients with hematological malignancies.

Three Nutritional Indices Are Effective Predictors of Mortality in Patients With Type 2 Diabetes and Foot Ulcers

Introduction

Malnutrition has been associated with mortality in various diseases. This retrospective cohort study aimed to investigate the relationship between three nutritional indices and all-cause mortality in patients with diabetic foot ulcers (DFUs).

Materials and Methods

A total of 771 patients diagnosed with DFUs in the First Affiliated Hospital of Wenzhou Medical University from 2015 to 2019 were included in this retrospective cohort study. Patients were classified as high nutritional risk groups or low nutritional risk groups according to the optimal cut-off values of the geriatric nutritional risk index (GNRI), prognostic nutritional index (PNI), and controlling nutritional status (CONUT), respectively. The associations of three nutritional indices with all-cause mortality were evaluated by multivariable Cox regression analyses.

Results

Log-rank tests indicated that patients with high nutritional risk had lower overall survival rates (all p < 0.001). The multivariable Cox regression revealed that low GNRI (adjusted HR 2.01, 95% CI: 1.37–2.96, P < 0.001), low PNI (adjusted HR 2.04, 95% CI: 1.29–3.23, P = 0.002) and high CONUT (adjusted HRs 1.54, 95% CI: 1.07–2.23, P = 0.021) were independently associated with high all-cause mortality. In subgroup analyses, only GNRI predicted higher all-cause mortality in patients with severe DFUs, while all of the three indices persisted as independent prognostic factors in patients with no severe DFUs.

Discussion

The present study demonstrated that three nutritional indices were effective predictors of all-cause mortality in patients with DFUs. Routine screening for malnutrition using any of the three nutritional indices might be a simple and effective way to identify high-risk patients with DFUs. GNRI can be used as an independent prognostic indicator in patients with severe DFUs.

CONUT Score: A New Tool for Predicting Prognosis in Patients with Advanced Thyroid Cancer Treated with TKI

Simple Summary

Many studies have shown that an impaired nutritional status correlated with a worse prognosis in cancer patients. The aim of our retrospective study was to evaluate the potential role of baseline Controlling Nutritional Status (CONUT score) in predicting prognosis of advanced thyroid cancer treated with tyrosine kinase inhibitors (TKI). We were able to confirm that baseline CONUT score significantly correlated with progression free survival (PFS) and overall survival (OS) and was the only independent prognostic factor for both outcomes. In particular, a CONUT score ≥3 was associated with a worse PFS and OS. The CONUT score represents a relatively new screening tool that is useful in predicting prognosis in thyroid cancer patients before the beginning of anti-tumoral treatment.

Abstract

(1) Background: The Controlling Nutritional Status (CONUT) score is an immuno-nutritional screening tool based on serum albumin, total cholesterol, and lymphocyte count. The aim of the study was to assess the CONUT score as a potential prognostic factor of response to therapy in patients with advanced thyroid cancer treated with tyrosine kinase inhibitors (TKIs). (2) Methods: We retrospectively evaluated 42 metastatic thyroid cancer patients (54.8% female). The median age at the time of TKI treatment was 69 years. Histological diagnosis was differentiated thyroid cancer in 66.7%, poorly differentiated thyroid cancer in 21.4%, and medullary thyroid cancer in 11.9% of patients. CONUT score was assessed before starting TKI therapy. (3) Results: Progression-free survival (PFS) and overall survival (OS) were significantly influenced by baseline CONUT score. The best CONUT cut-off able to predict the response to treatment was 3. Both PFS and OS were better in patients with CONUT score <3 than in those with CONUT score ≥3 (p < 0.0001). CONUT score was the only independent prognostic factor associated with PFS (p = 0.021) and OS (p = 0.007). (4) Conclusions: CONUT score represents a relatively new screening tool, easily applicable in clinical practice and potentially useful in predicting prognosis in thyroid cancer patients treated with TKIs.

Prognostic Value of the Geriatric Nutritional Risk Index in Non-Small Cell Lung Cancer Patients: A Systematic Review and Meta-Analysis

Background

Novel evidence showed that the Geriatric Nutritional Risk Index (GNRI) may lead to poor prognosis of human cancers. Therefore, we conducted a meta-analysis to explore the impact of GNRI in lung cancer and its prognostic value.

Methods

We searched the databases of PubMed, Web of Science, Embase, Scopus, and Cochrane Library up to July 2021 for relevant research and merged the hazard ratios (HRs) and 95% confidence intervals (CIs) to evaluate the association between GNRI and overall survival (OS), cancer-specific survival (CSS), and recurrence-free survival (RFS) in patients with lung cancer.

Results

Eight studies involving 2,399 patients were included in our primary meta-analysis. The results indicated that lower level of GNRI was associated with poorer OS, RFS, and CSS of lung cancer patients (OS: HR = 1.99, 95% CI: 1.68–2.35, p < 0.0001; RFS: HR = 2.34, 95% CI: 1.11–4.95, p = 0.0258; CSS: HR = 2.45, 95% CI: 1.43–4.18, p = 0.0011). The association was robust after subgroup analysis and sensitivity analysis.

Conclusions

GNRI may be a prognostic factor of lung cancer, which can lead to poorer survival. However, more prospective studies are necessary to confirm the results.

Systematic Review Registration

International Prospective Register of Systematic Reviews (PROSPERO), identifier CRD42021269574.

Prognostic impact of the controlling nutritional status score in patients with peripheral T-cell lymphoma

The controlling nutritional status (CONUT) score is a simplified nutritional index calculated from serum albumin, total cholesterol, and total lymphocyte count. This study evaluated the prognostic impact of the CONUT score on overall survival (OS) in patients with peripheral T-cell lymphoma (PTCL). A multicenter, retrospective cohort study including 99 patients with PTCL was conducted. The CONUT score was significantly higher in the non-survivor group (median 5, range 0-12) than in the survivor group (median 3, range 0-11; p = 0.026). The CONUT score was an independent prognostic factor in a multivariable Cox proportional hazards model (hazard ratio 1.119, 95% confidence interval 1.021-1.227, p = 0.017). No significant effect-modification by the International Prognostic Index (IPI) was observed, and the CONUT score affected the prognosis of PTCL regardless of the IPI (P for interaction = 0.208). In conclusion, the CONUT score is an independent prognostic factor for PTCL irrespective of IPI category.

Long-term and short-term prognostic value of the prognostic nutritional index in cancer: a narrative review

Objective

To perform a narrative review of the prognostic value of prognostic nutritional index (PNI) in cancers.

Background

Prognostic estimation greatly determines the treatment approach in various cancers. The PNI, calculated using the serum albumin level and total lymphocyte count, is a useful indicator to assess nutritional and immunological conditions. The PNI represents a low-cost, easy-to-perform, noninvasive, rapid, and standardized tool for estimating the prognosis of cancer. Many studies have aimed to clarify the prognostic value of PNI for various types of cancer.

Methods

We summarize the studies, particularly the systematic reviews and meta-analyses, that have examined the prognostic value of PNI in common cancers.

Conclusions

The relevant studies indicate that low PNI is an independent prognostic factor for decreasing overall survival in many types of cancers. Disease-free survival and progression-free survival were also associated with PNI in some types of cancer including lung cancer and renal cell carcinoma. Therefore, we suggest that the measurement of PNI is a useful method to identify cancer patients that have a worse prognosis and that the treatment strategy for these patients be adjusted accordingly. We hypothesize that maintaining good nutritional status during treatment may improve outcomes of various cancers.

Prognostic values of geriatric nutritional risk index (GNRI) and prognostic nutritional index (PNI) in elderly patients with Diffuse Large B-Cell Lymphoma

Background: Geriatric nutritional risk index (GNRI) and prognostic nutritional index (PNI) are associated with prognosis of various malignancies. Although GNRI and PNI indicates prognosis in some clinical settings, the values of GNRI and PNI on the prognosis of geriatric patients with Diffuse Large B‐Cell Lymphoma (DLBCL) is unclear. This retrospective analysis aimed to explore the prognostic values of GNRI and PNI in elderly DLBCL patients.

Methods: A total of 133 geriatric patients with DLBCL were recruited from Affiliated Hospital of Xuzhou Medical University, and clinicopathological variables were analyzed. X-Tile program, restricted cubic spline (RCS) and time-dependent receiver operating characteristic (ROC) analysis were used to determine optimal cut-off points of GNRI, PNI and other continuous variables; univariate and multivariate Cox proportional hazards analyses were used for variables selection; Kaplan‐Meier curve was utilized to analyze the influence of variables on prognosis; log-rank test was performed for difference evaluation between groups.

Results: The optimal cut-off points for GNRI and PNI were 106.26 and 47 by using RCS. Multivariate analysis showed that PNI, age, hemoglobin, liver invasion and central nervous system invasion were independent prognostic factors for elderly patients with DLBCL, and PNI was (P = 0.001, HR = 0.413, 95% CI (0.240-0.710) a stronger predictor. Low PNI could predict worse prognosis independently of elderly patients of DLBCL and could re-stratify patients in GCB group, CD5 positive group BCL-2 positive group, and BCL-6 positive group.

Conclusions: PNI was an independent adverse factor for elderly DLBCL and patients with low PNI in GCB group, CD5 positive group and BCL-6 positive group were with poor survival.

Low Geriatric Nutritional Risk Index Is Associated with Poorer Prognosis in Elderly Diffuse Large B-Cell Lymphoma Patients Unfit for Intensive Anthracycline-Containing Therapy: A Real-World Study

Nutritional assessments, including the Geriatric Nutritional Risk Index (GNRI), have emerged as prediction tools for long-term survival in various cancers. This study aimed to investigate the therapeutic strategy and explore the prognostic factors in the elderly patients (≥65 years) with diffuse large B cell lymphoma (DLBCL). The cutoff value of the GNRI score (92.5) was obtained using the receiver operating characteristic curve. Among these patients (n = 205), 129 (62.9%) did not receive standard R–CHOP chemotherapy. Old age (≥80 years), poor performance status, low serum albumin level, and comorbidities were the major factors associated with less intensive anti-lymphoma treatment. Further analysis demonstrated that a lower GNRI score (<92.5) was linked to more unfavorable clinical features. In the patients who received non-anthracycline-containing regimens (non-R–CHOP), multivariate analysis showed that a low GNRI can serve as an independent predictive factor for worse progression-free (HR, 2.85; 95% CI, 1.05–7.72; p = 0.039) and overall survival (HR, 2.98; 95% CI, 1.02–8.90; p = 0.045). In summary, nutritional evaluation plays a role in DLBCL treatment and the GNRI score can serve as a feasible predictive tool for clinical outcomes in frail elderly DLBCL patients treated with non-anthracycline-containing regimens.

Pre-albumin is a strong prognostic marker in elderly intensive care unit patients

Objectives

Pre-albumin (PAB) can be used to evaluate the association between nutrition status and in-hospital mortality. However, there is no literature to compare if PAB is the best indicator to predict in-hospital mortality among the nutrition indexes in a study.

Methods

We operated a retrospective study including 145 patients admitted to our institution’s elderly intensive care unit (ICU) from January, 2017 to December, 2019. Admission laboratory results were collected. Regression analysis and receiver operating curve (ROC) were analyzed to explore the performance of different nutrition indexes.

Results

The levels of PAB were significantly different between the survivor and non-survivor group (p=0.001). Univariate analysis showed nutrition indexes (lymphocytes, albumin, body mass index [BMI], geriatric nutritional risk index (GNRI), prognostic nutritional index [PNI] and PAB) were associated with in-hospital mortality (all p<0.1). Following adjustment for age, platelets and creatinine (CREA), only BMI and PAB remained statistically significant (BMI: HR 2.799, 95% CI 1.167–6.715, p=0.021; PAB: HR 6.329, 95% CI 2.660–15.151, p<0.001). In addition, PAB had the highest area under the curve (AUC) for predicting in-hospital mortality (AUC = 0.696) followed by BMI (AUC = 0.561) and other factors.

Conclusions

PAB is a better predictor of in-hospital mortality than other nutrition indexes in elderly ICU patients.

Assessment of Systemic Inflammation and Nutritional Indicators in Predicting Recurrence-Free Survival After Surgical Resection of Gastrointestinal Stromal Tumors

Background

Recent studies have shown that the systemic inflammation and nutritional indicators are prognostic for a variety of malignancies. However, only limited data have so far demonstrated their usefulness in gastrointestinal mesenchymal tumors (GIST).

Methods

We retrospectively analyzed the data of GIST patients who underwent radical surgery in Beijing hospital from October 2004 to July 2018. The area under the receiver operating characteristic curve (AUC) was used to compare several commonly used inflammatory and nutritional indicators. The indicators with largest AUC were further analysis. Optimal cut-off values of those indicators in predicting recurrence-free survival (RFS) were determined. Kaplan-Meier curve and the time-dependent receiver operating characteristic (ROC) curve were used to assess the prognostic values. We then used univariate and multivariate Cox regression analyses to identify prognostic factors that were associated with RFS.

Results

In total, 160 patients who underwent surgery for GIST were included in the study. The median survival time was 34.5 months, with 1-, 3-, and 5-year RFS rates of 96.1%, 84.7%, and 80.8%, respectively. The inflammatory and nutritional indicators with largest AUC were Systemic immunoinflammatory Index (SII) and Geriatric Nutrition Risk Index (GNRI), reached 0.650 and 0.713, respectively. The optimal cutoff of GNRI and SII were 98.3, and 820.0, respectively. Univariate analysis showed that GNRI, SII, KI67, surgery method, tumor location, tumor size, and mitotic index were all significant prognostic indicators of RFS. After multivariate Cox analysis, independent prognostic factors for RFS in GIST included tumor location, mitotic index, tumor size, and GNRI (HR=2.802,95% CI: 1.045 to 7.515, p = 0.041). Besides, SII also tended to be associated with RFS (HR = 2.970, 95% CI: 0.946 to 9.326, p = 0.062).

Conclusions

High GNRI is an independent prognostic factor for RFS in GIST, while SII can be considered as a prognostic factor. GNRI and SII can be used as tools to evaluate the prognosis of patients before surgery, helping doctors to better treat high-risk patients.

Geriatric nutritional risk index predicts prognosis in hepatocellular carcinoma after hepatectomy: a propensity score matching analysis

The geriatric nutritional risk index (GNRI) is widely used for nutritional assessment in older inpatients and is associated with postoperative complications and cancer prognosis. We investigated the use of GNRI to predict long-term outcomes in hepatocellular carcinoma of all etiologies after hepatectomy. Overall, 346 patients were examined after propensity score matching. We dichotomized the GNRI score into high GNRI (> 98: N = 173) and low GNRI (≤ 98: N = 173) and evaluated recurrence-free survival (RFS) and overall survival (OS) between both groups. Clinicopathological characteristics between the low- and high-GNRI groups were similar after propensity score matching except for the components of the GNRI score (body mass index and serum albumin level), Child–Pugh score (comprising serum albumin level), and preoperative alpha-fetoprotein level (p < 0.0001, p < 0.0001, p = 0.0030, and p = 0.0007, respectively). High GNRI was associated with significantly better RFS and OS (p = 0.0003 and p = 0.0211, respectively; log-rank test). Multivariate analysis revealed that GNRI is an independent prognostic factor of RFS and OS (low vs. high; hazard ratio [HR], 1.8284; 95% confidence interval [CI] 1.3598–2.4586; p < 0.0001, and HR, 1.5452; 95% CI 1.0345–2.3079; p = 0.0335, respectively). GNRI is an objective, inexpensive, and easily calculated assessment tool for nutritional status and can predict prognosis of hepatocellular carcinoma after hepatectomy.