Application of four nutritional risk indexes in perioperative management for esophageal cancer patients

GLIM criteria-based identification of severe malnutrition and its relationship with the risk of mortality among older Chinese adults with arthritis or rheumatism

BACKGROUND

Malnutrition is a well-known risk factor for mortality among older adults. Arthritis and rheumatism are characterized by chronic inflammation and are also related to malnutrition as diagnosed using the Global Leadership Initiative on Malnutrition (GLIM) criteria. This study was thus developed to examine the associations linking malnutrition and all-cause death among older adults in China, employing the GLIM criteria to assess malnutrition.

METHODS

Two waves of the China Health and Retirement Longitudinal Study from 2013 and 2018 were used to conduct this study. Moderate malnutrition was defined as low BMI (< 18.5 and < 20 for individuals < 70 and 70 + years of age, respectively), an unintended 10-20% decrease in weight, or low muscle mass based on the sex-specific lowest 20% of the height-adjusted muscle mass as < 5.039 kg/m2 in women and < 6.866 kg/m2 in men. Severe malnutrition was defined as a > 20% unintended decrease in weight only or the combination of both low muscle mass and an unintended reduction of over 10% in weight. Associations between malnutrition and the risk of all-cause death were assessed through Cox regression analyses.

RESULTS

Overall, this study enrolled 1766 subjects 60 + years of age, of whom 57.36% (1033/1766) were female. Malnutrition was estimated to affect 418 (23.67%) of these individuals at baseline, with 21.06% and 2.60% affected by moderate and severe malnutrition, respectively. Over the 5-year follow-up, 189 of these individuals died. Covariate-adjusted Cox regression analyses confirmed a significant association between severe malnutrition and the risk of death in this cohort (HR = 2.196, 95%CI 1.125-4.286, P = 0.021).

CONCLUSIONS

Severe malnutrition, identified through screening based on the GLIM criteria, was associated with an increased risk of all-cause death among older Chinese adults with arthritis or rheumatism.

The prognostic value of controlling nutritional status score on esophageal squamous cell carcinoma patients with neoadjuvant therapy followed by esophagectomy-a retrospective research

Background

A variety of nutritional evaluation parameters has been documented as prognostic indicators in some malignancies. However, the prognostic significance of the controlling nutritional status (CONUT) score, as one of these nutritional indices, in patients with esophageal squamous cell carcinoma (ESCC) remains unclear and warrants investigation. Our study sought to elucidate the prognostic value of this nutritional index in ESCC patients who underwent neoadjuvant therapy followed by esophagectomy.

Methods

This retrospective study encompassed 314 patients diagnosed with ESCC who underwent neoadjuvant therapy followed by esophagectomy at West China Hospital of Sichuan University between August 2016 and August 2021. CONUT scores were computed at two specific time points: prior to neoadjuvant therapy initiation and before surgery, utilizing serum albumin, total lymphocyte, and cholesterol levels of ESCC patients. Furthermore, the delta CONUT (ΔCONUT) score was derived by subtracting the preoperative CONUT score from the pretreatment CONUT score. The associations between CONUT scores and various survival outcomes were evaluated using Kaplan-Meier methods and Cox regression analysis.

Results

Patients with a high preoperative CONUT score demonstrated a higher postoperative complication rate [odds ratio (OR) =2.009, 95% confidence interval (CI): 1.150-3.510, P=0.01] compared to those in the low CONUT group. Multivariate analysis revealed that a ΔCONUT score ≥0 served as an independent negative prognostic indicator for increased postoperative complications (OR =3.008, 95% CI: 1.509-5.999, P=0.002) and poorer overall survival [hazard ratio (HR) =2.388, 95% CI: 1.052-5.422, P=0.04] in ESCC patients who underwent neoadjuvant therapy combined with esophagectomy.

Conclusions

A high preoperative CONUT score and a ΔCONUT score ≥0 were indicative of a poor prognostic nutritional status in ESCC patients who had undergone neoadjuvant therapy followed by esophagectomy.

Interaction between the albumin-bilirubin score and nutritional risk index in the prediction of post-hepatectomy liver failure

BACKGROUND

Post-hepatectomy liver failure (PHLF) is the most common postoperative complication and the leading cause of death after hepatectomy. The albumin-bilirubin (ALBI) score and nutritional risk index (NRI) have been shown to assess end-stage liver disease and predict PHLF and patient survival. We hypothesized that the ALBI score and NRI interact in the prediction of PHLF.

AIM

To analyze the interaction between the ALBI score and NRI in PHLF in patients with hepatocellular carcinoma.

METHODS

This retrospective study included 186 patients who underwent hepatectomy for hepatocellular carcinoma at the Affiliated Hospital of Youjiang Medical University for Nationalities between January 2020 and July 2023. Data on patient characteristics and laboratory indices were collected from their medical records. Univariate and multivariate logistic regression were performed to determine the interaction effect between the ALBI score and NRI in PHLF.

RESULTS

Of the 186 patients included in the study, PHLF occurred in 44 (23.66%). After adjusting for confounders, multivariate logistic regression identified ALBI grade 2/3 [odds ratio (OR) = 73.713, 95% confidence interval (CI): 9.175-592.199] and NRI > 97.5 (OR = 58.990, 95%CI: 7.337-474.297) as risk factors for PHLF. No multiplicative interaction was observed between the ALBI score and NRI (OR = 0.357, 95%CI: 0.022-5.889). However, the risk of PHLF in patients with ALBI grade 2/3 and NRI < 97.5 was 101 times greater than that in patients with ALBI grade 1 and NRI ≥ 97.5 (95%CI: 56.445-523.839), indicating a significant additive interaction between the ALBI score and NRI in PHLF.

CONCLUSION

Both the ALBI score and NRI were risk factors for PHLF, and there was an additive interaction between the ALBI score and NRI in PHLF.

Value of prognostic nutritional index and controlling nutritional status score for advanced non-small cell lung cancer patients receiving PD-1 inhibitors

OBJECTIVE

To explore the value of preoperative prognostic nutritional index (PNI) and controlling nutritional status (CONUT) score in predicting response and prognosis of patients with advanced non-small cell lung cancer (NSCLC) receiving programmed cell death protein 1 (PD-1) inhibitors.

METHODS

A retrospective study was conducted in patients who received PD-1 inhibitors for advanced NSCLC. Patients were assigned by immunotherapy effects into response (partial and complete response, pCR) group (n=52) and non-response (non-pCR) group (n=132). The pathological and clinical data were collected for statistical analysis of factors influencing the immunotherapeutic response. The diagnostic value of PNI and CONUT score for response was assessed. The overall survival (OS) was observed over a 3-year follow-up. COX regression analysis was performed to identify risk factors affecting the survival. The effects of different PNI and CONUT scores on the survival were observed.

RESULTS

Multivariate regression analysis showed that, the tumor-node-metastasis (TNM) stage (P=0.001), PNI (P<0.001), and CONUT score (P<0.001) were associated with response. The non-pCR group had a higher 3-year mortality rate and a shorter 3-year OS than the pCR group (P<0.001). COX regression analysis showed that low PNI and high CONUT score were risk factors for poor prognosis. Further analysis showed that patients with low PNI and high CONUT score had lower 3-year survival rates (P=0.005, P<0.001).

CONCLUSION

High TNM stage, PNI<50, and CONUT score ≥5 are risk factors for poor response in patients with advanced NSCLC receiving PD-1 inhibitors, and low PNI and high CONUT score suggest poor prognosis.

Relationship Between Preoperative Nutritional Indicators and Postoperative Complications in Patients with Oesophageal Cancer: A Meta-Analysis

Nutritional status is an essential factor in the occurrence of complications in patients with esophageal cancer. We sought to assess the relationship between malnutrition and complications using various nutritional assessment indicators. We conducted a comprehensive literature search of medical databases for articles published up to July 2023. The primary outcome indicator is the occurrence of complications, for which we combined 95% confidence intervals (CIs) and odds ratios (ORs) for postoperative complications and analyzed them using a random effects model. The analysis was carried out using STATA15.0 software. A total of 33 study groups from 22 publications with 5,675 subjects were included. Pooled results show that nutritional indicators are strongly correlated with the occurrence of postoperative complications (OR = 1.45, 95% CI: 1.30-1.62). In the subgroup analyses, comprehensive indicators and the skeletal muscle index were significantly associated with complications, whereas laboratory indicators were not associated with complications (comprehensive indicators OR = 2.68, 95% CI: 1.80-4.00; skeletal muscle index OR = 2.93, 95% CI: 1.44-5.99; laboratory indicators OR = 1.05, 95% CI: 0.96-1.16). Patients with normal body mass index and hospitalized patients were more likely to develop complications. Malnutrition is strongly associated with the development of complications. Nutritional indicators and patient characteristics influenced this relationship.

Do nutritional assessment tools (PNI, CONUT, GNRI) predict adverse events after spinal surgeries? A systematic review and meta-analysis

BACKGROUND

Nutritional assessment tools are used to predict outcomes in cancer. However, their utility in patients undergoing spinal surgery is unclear. This review examined if prognostic nutritional index (PNI), controlling nutritional status (CONUT), and geriatric nutritional risk index (GNRI) can predict adverse events after spinal surgeries.

METHODS

PubMed, CENTRAL, Scopus, and Embase were screened by two reviewers for relevant studies up to 26th January 2024. The primary outcome of interest was total adverse events after spinal surgery. Secondary outcomes were surgical site infections (SSI) and mortality.

RESULTS

14 studies were included. Meta-analysis showed that while reduced PNI was not associated with an increased risk of SSI there was a significant association between PNI and higher risk of adverse events. Meta-analysis showed that high CONUT was not associated with an increased risk of complications after spinal surgeries. Pooled analysis showed that low GNRI was associated with an increased risk of both SSI and adverse events. Data on mortality was scarce.

CONCLUSIONS

The PNI and GNRI can predict adverse outcomes after spinal surgeries. Limited data shows that high CONUT is also associated with a non-significant increased risk of adverse outcomes. High GNRI was predictive of an increased risk of SSI. Data on mortality is too scarce for strong conclusions.

Preoperative nutritional status and postoperative health outcomes in older adults undergoing spine surgery: Electronic health records analysis

AIM

To examine whether a high nutritional risk status, assessed via the Geriatric Nutritional Risk Index (GNRI), is independently associated with postoperative health outcomes, including unplanned intensive care unit (ICU) admissions, infectious complications, and prolonged length of stay in older patients undergoing spine surgery.

METHODS

We conducted a retrospective descriptive study analyzing electronic health records from a tertiary hospital, including data from 1,014 patients aged ≥70 undergoing elective spine surgery between February 2013 and March 2023.

RESULTS

High nutritional risk patients had significantly higher odds of unplanned ICU admission, infectious complications, and prolonged length of stay compared to low-risk patients. For each one-point increase in GNRI, there was a significant 0.91- and 0.95-fold decrease in the odds of unplanned ICU admission and infectious complications, respectively.

CONCLUSION

GNRI screening in older patients before spine surgery may have potential to identify those at elevated risk for postoperative adverse outcomes.

Geriatric nutritional risk index as a prognostic factor in elderly patients with non-muscle-invasive bladder cancer: a propensity score-matched study

PURPOSE

The Geriatric Nutrition Risk Index (GNRI) is a simple and validated tool used to assess the nutritional status of elderly patients and predict the risk of short-term postoperative complications, as well as the long-term prognosis, after cancer surgery. In this study, we aimed to evaluate the predictive value of GNRI for the long-term postoperative prognosis in elderly patients with primary non-muscle-invasive bladder cancer (NMIBC) who underwent transurethral resection of bladder tumor (TURBT).

METHODS

We retrospectively analyzed data from 292 elderly patients with primary NMIBC. Using X-tile software, we divided the cohort into two groups based on GNRI and determined the cut-off value for postoperative recurrence-free survival (RFS). Propensity score matching (PSM) with a ratio of 1:3, Kaplan-Meier analysis, log-rank test, and COX proportional hazards regression were used to assess the correlation between GNRI and prognosis and identify factors predicting recurrence and progression.

RESULTS

In the entire cohort, the 3 year recurrence group had significantly lower GNRI compared to the 3 year non-recurrence group (P = 0.0109). The determined GNRI cut-off value was 93.82. After PSM, the low GNRI group had significantly lower RFS (P < 0.0001) and progression-free survival (PFS) (P = 0.0040) than the high GNRI group. Multivariate COX regression showed that GNRI independently predicted RFS (HR 2.108; 95% CI 1.266-3.512; P = 0.004) and PFS (HR 2.155; 95% CI 1.135-4.091; P = 0.019) in elderly patients with primary NMIBC.

CONCLUSION

Preoperative GNRI is a prognostic marker for disease recurrence and progression in elderly patients with primary NMIBC undergoing TURBT.

Geriatric nutritional risk index predicts the prognosis of gastric cancer patients treated with immune checkpoint inhibitors

The nutritional status is closely linked to the immune function of patients. Previous studies have demonstrated the utility of the Geriatric Nutritional Risk Index (GNRI) in assessing nutritional status. The aim of this study is to investigate the prognostic significance of GNRI in patients with gastric cancer who received immune checkpoint inhibitor (ICI) therapy. The study enrolled 89 gastric cancer patients who received different types of immune checkpoint inhibitors (ICIs) between August 2016 and December 2020, along with 57 patients who underwent chemotherapy during the same period as a control group. The GNRI cutoff point was established based on prior research. Differences in clinical and pathological features were analyzed using the Chi-square test or independent samples t-test. Univariate and multivariate analyses were used to identify prognostic factors for both progression-free survival (PFS) and overall survival (OS). Furthermore, nomograms were created to predict the likelihood of patient survival. There were 31 cases (21.2%) with GNRI < 92.00 and 115 cases (78.8%) with GNRI ≥ 92.00. Patients with low GNRI had significantly shorter PFS (21.33 months vs 28.37 months, P = .001) and OS (33.06 months vs 41.63 months, P = .001) than those with high GNRI, among all patients. Similar results were also found in patients treated with ICIs. Additionally, GNRI was identified as an independent prognostic factor. The C-index and 95% CI of the nomograms for predicting survival probabilities were 0.667 (0.600-0.735) and 0.685 (0.622-0.749), respectively. GNRI was significantly associated with survival time in patients with gastric cancer who received ICIs, patients with low GNRI had shorter PFS and OS. GNRI might be able to identify patients who might benefit from ICIs.

Survival Predictors Before Preoperative Adjuvant Chemotherapy in Patients With Locally Advanced Esophageal Squamous Cell Carcinoma

BACKGROUND/AIM

Radical resection after preoperative adjuvant chemotherapy (NAC) is a standard treatment for patients with locally advanced esophageal squamous cell carcinoma (LAESCC), but its outcome remains unsatisfactory. In order to develop a personalized treatment program for LAES, we herein compared the survival prediction utility of five pre-NAC nutritional, inflammatory, and immune indexes in patients with LAESCC.

PATIENTS AND METHODS

We evaluated the survival of 203 patients with LAESCC who underwent radical resection after NAC from January 2011 to September 2019 for the following representative pre-NAC nutritional, inflammatory, and immune indices: modified Glasgow Prognostic Score, Prognostic Nutritional Index, C-reactive protein/albumin ratio, serum neutrophil/lymphocyte ratio, and Geriatric Nutrition Risk Index (GNRI) were evaluated for their impact on survival.

RESULTS

Of the five indices, GNRI was the best predictor of survival as determined by the area under the curve (p<0.05). When patients were divided into three groups according to the nutritional risk assessment of Bouillanne et al. using the pre-NAC GNRI, the 5-year overall survival (OS) and recurrence-free survival (RFS) were significantly stratified (p<0.001). On multivariate analysis, the GNRI independently identified a poor OS group [group 1: hazard ratio (HR)=2.598, p=0.002; group 2: HR=6.257, p<0.001] and a high recurrence risk group (group 1: HR=1.967, p=0.016; group 2: HR=4.467, p<0.001).

CONCLUSION

In patients with LAESCC, GNRI may be the most accurate, reliable, and useful prognostic factor among the five major systemic inflammatory and nutritional indices.

Association of preoperative muscle-adipose index measured by computed tomography with survival in patients with esophageal squamous cell carcinoma

BACKGROUND

Conventional nutritional metrics are closely associated with the prognosis of patients with radically resected esophageal squamous cell carcinoma (ESCC). Nevertheless, the prognostic implications of muscle and adipose tissue composite indexes in ESCC remain unknown.

METHODS

We retrospectively analyzed clinicopathological data of 304 patients who underwent resected ESCC. To obtain measurements of the muscle and adipose indexes, preoperative computed tomography (CT) images were used to quantify skeletal-muscle adipose tissue. The diagnostic threshold for muscle-adipose imbalance was determined using X-tile software and used to analyze the association between the muscle-adipose index (MAI) and survival. Instantaneous risk of recurrence was assessed using a hazard function. We constructed a nomogram based on the MAI and other clinical characteristics and established a novel predictive model with independent prognostic factors. The prognostic capabilities of these nomograms were evaluated using calibration curves, receiver operating characteristic (ROC) curves, and decision-curve analysis (DCA).

RESULTS

The overall survival (OS) and disease-free survival (DFS) rates in the muscle-adipose-balanced group were significantly better than those in the muscle-adipose-imbalanced group. Multivariate analyses revealed that the MAI, prognostic nutritional index (PNI), tumor stage, and tumor differentiation were independent prognostic factors for OS and DFS in patients with resected ESCC (P < 0.05). The nuclear density curve indicated a lower risk of recurrence for patients in the muscle-adipose-balanced group than that for their imbalanced counterparts. Conversely, the nuclear density curve for PNI was confounded. Postoperative radiotherapy- (RT) benefit analysis demonstrated that patients with ESCC in the muscle-adipose-balanced group could benefit from adjuvant RT.

CONCLUSION

This study confirmed that preoperative MAI could serve as a useful independent prognostic factor in patients with resected ESCC. A nomogram based on the MAI and other clinical characteristics could provide individualized survival prediction for patients receiving radical resection. Timely and appropriate nutritional supplements may improve treatment efficacy.

Novel prognostic factors after radical resection of hepatocellular carcinoma: Updating an old issue

In this editorial, I comment on the article by Li et al published in the recent issue of the World Journal of Gastrointestinal Surgery in 2023, investigating the role of some novel prognostic factors for early survival after radical resection of liver cancer. Liver cancer is an important burden among Asian and Western populations, despite recent advances in both medicine (from virus eradication to systemic target therapies) and surgery. However, survival after proven radical surgery remains poor, with recurrences being the rule. Many prognostic scores have been developed and validated to select those patients who will best benefit from radical liver surgery, although the final general and oncological outcomes continue to be highly jeopardized. Unfortunately, no single biomarker can resolve all these issues for hepatocellular carcinoma, and it remains to be proven whether some of them maintain predictive power in the long-term follow-up. In the ongoing era of "precision" medicine, the novel prognostic markers, including immune inflammatory and nutritional indexes could be of great help in better stratify surgical candidates.

Combined application of inflammation-related biomarkers to predict postoperative complications of rectal cancer patients: a retrospective study by machine learning analysis

BACKGROUND

Postoperative complications in patients of rectal cancer pose challenges to postoperative recovery. Accurately predicting these complications is crucial for developing effective treatment plans for patients.

METHODS

In this retrospective study, 493 patients with rectal cancer who underwent radical resection between January 2020 and December 2021 were examined. We evaluated logistic regression, support vector machines, regression trees, and random forests to predict the incidence of postoperative complications in patients and evaluate the performance of the model. The results will be analyzed to make recommendations for reducing complications.

RESULTS

Among the four machine learning models, random forest demonstrated the highest results. The performance of this model was showed with an AUC of 0.880 (95% CI 0.807-0.949), an accuracy of 88.0% (95% CI 0.815-0.929), a sensitivity of 96.6%, and a specificity of 45.8%. Notably, factors such as inflammation related prognostic index, prognostic nutritional index, tumor location, and T stage were found to significantly increase the probability of postoperative complications.

CONCLUSION

Our study provided evidence that machine learning models can effectively evaluate early postoperative complications of the patients after surgery.

May Nutritional Status Positively Affect Disease Progression and Prognosis in Patients with Esophageal and Pharyngeal Cancers? A Scoping Review of the Current Clinical Studies

BACKGROUND

Malnutrition in esophageal and pharyngeal cancer patients constitutes a common and serious concern, which significantly reduces patients' prognoses. Cancers of the esophagus and the pharynx can considerably impair feeding in patients, resulting in severe undernutrition. This is a scoping review that intends to critically analyze the most well-designed clinical studies investigating the potential beneficial impact of diverse nutritional assessment tools on the prognosis of patients with esophageal and pharyngeal cancers.

METHODS

The most accurate and remarkable scientific databases were comprehensively explored utilizing relative keywords to detect clinical studies that investigate whether nutritional status may affect disease prognosis.

RESULTS

Several assessment tools have evaluated and highlighted the potential beneficial impact of nutritional status on disease progression and patients' prognosis in both esophageal and pharyngeal cancers. Regarding esophageal cancer, CONUT, PNI, PG-SGA, and NRS-2002 are more commonly used, while albumin is also frequently evaluated. Regarding pharyngeal cancers, fewer studies are currently available. PNI has been evaluated, and its significance as a factor for shorter survival' times has been highlighted. The Comprehensive Nutritional Index has also been evaluated with positive results, as well as NRS 2002, GPS, and body-weight status. However, there is currently a lack of studies with an adequate number of women with cancer. An international literature gap was identified concerning follow-up studies with adequate methodology.

CONCLUSIONS

Nutritional status may significantly affect disease progression and patients' survival, highlighting the significance of a great nutritional status in individuals with esophageal and pharyngeal cancers. Further large-scale and well-designed prospective surveys should be performed to verify the potential beneficial effects of adequate nourishment in people suffering from cancer of the esophagus and pharynx.

Comprehensive nutritional index predicts clinical outcomes for esophageal squamous cell carcinoma receiving neoadjuvant immunotherapy combined with chemotherapy

OBJECTIVE

No study has reported the clinical outcomes of comprehensive nutritional index (CNI) in esophageal squamous cell carcinoma (ESCC) receiving neoadjuvant immunotherapy combined with chemotherapy (nICT).

METHODS

This retrospective study involved 233 ESCC patients who underwent nICT. Principal component analysis was performed to establish the CNI based on 5 indexes including body mass index, usual body weight percentage, total lymphocyte count, albumin and hemoglobin. The relationships between the CNI and therapeutic response, postoperative complications and prognosis were analyzed.

RESULTS

One hundred and forty-nine and 84 patients were assigned to the high and low CNI group, respectively. The incidences of respiratory complications (33.3% vs. 18.8%, P = 0.013) and vocal cord paralysis (17.9% vs. 8.1%, P = 0.025) in low CNI were significantly higher than those in high group, respectively. Seventy (30.0%) patients achieved pathological complete response (pCR). High CNI patients achieved a better pCR rate than those with low CNI (41.6% vs. 9.5%, P < 0.001). The CNI served as an independent pCR predictor [odds ratio (OR) = 0.167, 95% confidence interval (CI) = 0.074-0.377, P < 0.001)]. High CNI patients had better 3-year disease-free survival (DFS) (85.4% vs. 52.6%, P < 0.001) and overall survival (OS) (85.5% vs. 64.5%, P < 0.001) than those with low CNI, respectively. The CNI served as an independent prognostic score regarding DFS [hazard ratio (HR) = 3.878, 95% CI = 2.214-6.792, P < 0.001)] and OS (HR = 4.386, 95% CI = 2.006-9.590, P < 0.001).

CONCLUSION

Based on nutrition-related indicators, the pretreatment CNI serves as a sensitive and effective predictor of therapeutic response, postoperative complications and prognosis in ESCC receiving nICT.

Controlling Nutritional Status Score Serves as a Prognosticator in Esophageal Squamous Cell Carcinoma: Optimal Timing of Evaluation of Patients Undergoing Neoadjuvant Treatment

BACKGROUND

Usefulness of various nutritional indices for management of patients with esophageal squamous cell carcinoma (ESCC) has been reported. Although Controlling Nutritional Status (CONUT) score is among promising indices to predict outcome, the optimal timing for its measurement during the perioperative period remains unknown. Here the prognostic value of the CONUT score was assessed among patients with ESCC.

METHODS

We analyzed 464 patients who underwent subtotal esophagectomy of ESCC, of which 276 patients were treated with neoadjuvant treatment (NAT). The significance of the associations between candidate parameters including the CONUT score and postoperative prognosis were evaluated.

RESULT

Among the 25 candidate predictors, the preoperative CONUT score had the highest correlation with overall survival (OS) after surgery. Patients were categorized as follows: normal, mild, and moderate or severe, on the basis of the preoperative CONUT score. OS was significantly shortened as the CONUT score worsened. Multivariable analysis revealed that the CONUT scores of the subgroups mild (Hazard ratio [HR] 1.69) and moderate or severe (HR 2.18) were independent predictors of poor prognosis for OS. Furthermore, in an analysis limited to patients who underwent NAT, OS was significantly shortened as the preoperative CONUT score worsened. On the contrary, there was no significant difference in RFS among patient groups stratified by the CONUT score determined before NAT.

CONCLUSIONS

Our study indicates that the preoperative CONUT score serves as a prognosticator in resectable ESCC. The preoperative CONUT value was more useful than that before NAT in patients administered NAT.

The predictive value of prognostic nutritional index on early complications after robot-assisted radical cystectomy

Objective

The purpose of the study was to evaluate the predictive value of prognostic nutritional index (PNI) on early complications (within 30-day) after robot-assisted radical cystectomy (RARC) and urinary diversion.

Patients and methods

Patients underwent RARC and urinary diversion between November 2018 and December 2021 in our centre were screened in this retrospective study. Baseline characteristics and perioperative data were recorded. Early complications after surgery were classified according to Clavien-Dindo system. Univariate and multivariate logistic analysis were performed to decide the potential factors associated with post-RARC complications. The receiver operating characteristic (ROC) curve was conducted to determine the predictive value of PNI on early overall and major complications after RARC.

Results

Overall 139 men and 13 women with a median age of 69 years and mean BMI of 24.4 kg/m2 were included in this study. As for urinary diversion, most patients (n = 111, 73%) received cutaneous ureterostomy, 36 patients (23.7%) underwent orthotopic neobladder and 5 patients (3.3%) received ileal conduit. The incidence of postoperative complication rate was 44.7%, which included 82.2% minor complications and 17.8% major complications. Further univariate and multivariate logistic analyses demonstrated that hypertension (OR = 2.96, 95% CI: 1.24–7.07, P = 0.015), PNI (OR = 0.73, 95% CI: 0.62–0.86, P &lt; 0.001), and CCI (OR = 1.44, 95% CI: 1.01–2.06, P = 0.047) were independent risk factors of early complications after RARC. Moreover, PNI (OR = 0.72, 95% CI: 0.60–0.86, P &lt; 0.001) was also the predictor of major complications after RARC. The ROC curve demonstrated that PNI (AUC = 0.829; AUC = 0.840) has a great predictive value in early overall and major complications after RARC.

Conclusion

PNI can be an early alert for RARC patients thus aiding in closer monitoring and postoperative management.

Nutritional Risk Index as a Prognostic Factor Predicts the Clinical Outcomes in Patients With Stage III Gastric Cancer

Objective

This study is aimed to determine the potential prognostic significance of nutritional risk index (NRI) in patients with stage III gastric cancer.

Methods

A total of 202 patients with stage III gastric cancer were enrolled in this study. NRI was an index based on ideal body weight, present body weight, and serum albumin levels. All patients were divided into two groups by receiver operating characteristic curve: low NRI group (NRI&lt;99) and high NRI group (NRI≥99). The relationship between NRI and clinicopathologic characteristics was evaluated by Chi-square test. The clinical survival outcome was analyzed by Kaplan-Meier method and compared using log-rank test. The univariate and multivariate analyses were used to detect the potential prognostic factors. A nomogram for individualized assessment of disease-free survival (DFS) and overall survival (OS). The calibration curve was used to evaluate the performance of the nomogram for predicted and the actual probability of survival time. The decision curve analysis was performed to assess the clinical utility of the nomogram by quantifying the net benefits at different threshold probabilities.

Results

The results indicated that NRI had prognostic significance by optimal cutoff value of 99. With regard to clinicopathologic characteristics, NRI showed significant relationship with age, weight, body mass index, total protein, albumin, albumin/globulin, prealbumin, glucose, white blood cell, neutrophils, lymphocyte, hemoglobin, red blood cell, hematocrit, total lymph nodes, and human epidermal growth factor receptor 2 (P&lt;0.05). Through the univariate and multivariate analyses, NRI, total lymph nodes, and tumor size were identified as the independent factor to predict the DFS and OS. The nomogram was used to predict the 1-, 3-, and 5-year survival probabilities, and the calibration curve showed that the prediction line matched the reference line well for 1-, 3-, and 5-year DFS and OS. Furthermore, the decision curve analysis also showed that the nomogram model yielded the best net benefit across the range of threshold probability for 1-, 3-, 5-year DFS and OS.

Conclusions

NRI is described as the potential prognostic factor for patients with stage III gastric cancer and is used to predict the survival and prognosis.

Development and Validation of a Nomogram Based on Geriatric Nutritional Risk Index to Predict Surgical Site Infection Among Gynecologic Oncology Patients

Background

The geriatric nutritional risk index (GNRI) is a commonly used method to assess nutritional risk for predicting potential surgical site infections (SSI) in cancer patients. This study aims to create and verify a simple nomogram and a dynamic web-based calculator for predicting the risk of SSI among gynecologic oncology patients.

Methods

A retrospective evaluation was conducted on patients who were admitted into a tertiary hospital in China with confirmed diagnosis of gynecologic cancer between 01 August 2017 and 30 November 2021. A two-piecewise linear regression model with a smoothing function was used to investigate the non-linear association between GNRI and SSI to determine the ideal cut-off point. Three models were developed on the basis of different variables to predict SSI in gynecologic oncology patients. Through a nomogram the concordance index (C-index), the Akaike information criterion (AIC), and the integrated discrimination index (IDI) were used to determine the final model. Finally, the performance of the nomogram was validated using the 1,000-bootstrap resamples method and analyzed using C-index, GiViTI calibration belts, and decision curve. Also, a user-friendly dynamic web-based calculator was developed.

Results

A total of 1,221 patients were included in the analysis. A non-linear association could be observed between GNRI and SSI risk with a GNRI cut-off value of 101.7. After adding GNRI to Model 2 (which comprised Morse Fall Scale score, preoperative length of stay, operation time, and estimated blood loss), the AIC value decreased, the C-index value increased and IDI increased significantly. The nomogram C-index in the development cohort and internal validation cohort demonstrates a moderate-high degree of discrimination. The GiViTI calibrated belt showed a good agreement between the observed and predicted probabilities of SSI. The decision curve validates the clinical feasibility of the nomogram with a threshold value between 0 and 49%.

Conclusion

The GNRI cut-off value of 101.7 allowed for appropriate stratification of patients into distinct SSI risk groups. This study found that including GNRI in the above nomogram (Model 2) would enhance its potential to predict SSI in gynecologic oncology patients.

Clinical Significance of Nutrition and Inflammation in Esophageal Cancer Patients with Surgery: A Meta-Analysis

Many studies have reported that the geriatric nutritional risk index (GNRI) and C-reactive protein to albumin ratio (CAR) may be associated with prognosis of esophageal cancer (EC); however, the results are inconsistent. Therefore, we performed a meta-analysis to evaluate the effect of preoperative GNRI and CAR on the prognosis of EC. PubMed, Embase, Cochrane Library, and Web of Science databases were searched. Pooled hazard ratios (HRs) and 95% confidence intervals (CIs) were used to analyze the relationship between GNRI/CAR and prognosis. Publication bias was estimated using Begg's funnel plot asymmetry test and Egger's test. A total of 21 studies comprising 5,018 patients were included in the meta-analysis. A decreased GNRI was significantly associated with poorer overall survival (OS) (HR = 1.808, 95% CI: 1.489-2.196, P < 0.001) and cancer-specific survival (CSS) (HR = 1.769, 95% CI: 1.193-2.624, P = 0.005), and an increased CAR was significantly associated with lower OS (HR = 2.179, 95% CI: 1.587-2.992, P < 0.001), CSS (HR = 1.733, 95% CI: 1.333-2.253, P < 0.001), and recurrence-free survival (HR = 2.178, 95% CI: 1.328-3.573, P = 0.002). Thus, preoperative GNRI and CAR may be noninvasive and powerful tools for predicting survival outcomes in patients with EC.

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.

Nutritional Predictors of Wound Infection in Patients with Lower Extremity Soft Tissue Sarcoma

BACKGROUND

Soft tissue sarcoma (STS) frequently requires high-risk surgery that predisposes patients to complex wounds. Past studies have identified a variety of tumor characteristics as risk factors for wound infection (WI); however, physiologic characteristics have not yet been studied in this population. Thus, the objective of this study is to identify any nutritional indicators and physiologic characteristics associated with the development of WI.

PATIENTS AND METHODS

633 patients from a large tertiary care center institution were identified with lower extremity STS removed from 1992 to 2017. The primary outcomes of interest were WI at patient's surgical site within 90 days of surgery and additional procedure due to wound infection. Patients' laboratory values, comorbidities, and other characteristics were assessed using multivariable analysis to determine risk factors for WI. Receiver operator characteristic (ROC) curves were used for analysis of plasma glucose and albumin levels to determine a useful risk threshold. Significance was determined to be p < 0.05.

RESULTS

Postoperative plasma glucose levels were significantly higher among patients with WI compared with those without (p < 0.001) and showed predictivity in ROC analysis (AUC 0.77, 95% CI 0.72-0.82). Preoperative albumin (p < 0.001) and prognostic nutritional index score (p = 0.002) were significantly lower among patients with WI. Partial thromboplastin time (PTT), international normalized ratio (INR), white blood cell count (WBC), and platelet count values had no effect on WI. Smoking elevated risk for WI (OR 1.64, p < 0.01). Significant risk factors were the same when assessed for those with WI undergoing additional procedures.

CONCLUSIONS

Postoperative plasma glucose levels, preoperative albumin levels, and smoking status are useful nutritional variables in predicting WI in STS excisional procedures.

Association of Malnutrition, as Defined by the PG-SGA, ESPEN 2015, and GLIM Criteria, With Complications in Esophageal Cancer Patients After Esophagectomy

Background: There are several approaches that can be used for the pre-treatment identification of malnutrition in oncology populations including the Patient-Generated Subjective Global Assessment (PG-SGA), the 2015 consensus statement by the European Society for Clinical Nutrition and Metabolism (ESPEN 2015) and the Global Leadership Initiative on Malnutrition (GLIM). Aims: This study aimed to evaluate whether malnutrition, as defined by these three methods, can be used to predict complications in esophageal cancer (EC) patients after esophagectomy. Methods: We performed a single center, observational cohort study that included 360 EC patients undergoing esophagectomy from December 2014 to November 2019 at Daping Hospital in China. The prevalence of malnutrition in the study population was prospectively defined using the PG-SGA (≥9 defined malnutrition), and retrospectively defined using the ESPEN 2015 and the GLIM. The prevalence of malnutrition and association with postoperative complications were compared in parallel for the three methods. Results: The prevalence of malnutrition before surgery was 23.1% (83/360), 12.2% (44/360), and 33.3% (120/360) in the study population, as determined by the PG-SGA, the ESPEN 2015 and the GLIM, respectively. The PG-SGA and GLIM had higher diagnostic concordance (Kappa = 0.519, P < 0.001) compared to the ESPEN 2015 vs. GLIM (Kappa = 0.361, P < 0.001) and PG-SGA vs. ESPEN 2015 (Kappa = 0.297, P < 0.001). The overall incidence of postoperative complications for the study population was 58.1% (209/360). GLIM- and ESPEN 2015-defined malnutrition were both associated with the total number of postoperative complications in multivariable analyses. Moreover, GLIM-defined malnutrition exhibited the highest power to identify the incidence of complications among all independent predictors in a pooled analysis. Conclusion: Among the PG-SGA, the ESPEN 2015 and the GLIM, the GLIM framework defines the highest prevalence rate of malnutrition and appears to be the optimal method for predicting postoperative complications in EC patients undergoing esophagectomy. These results support the importance of preoperatively identifying malnutrition using appropriate assessment tools, because it can facilitate the selection of management strategies that will optimize the clinical outcomes of EC patients.