The Value of Geriatric Nutritional Risk Index in Evaluating Postoperative Complication Risk and Long-Term Prognosis in Elderly Colorectal Cancer Patients

Association between Geriatric Nutritional Risk Index and all-cause mortality in individuals with osteoporotic fractures: a retrospective cohort study

BACKGROUND

The number of patients with osteoporotic fractures (OPFs) is on the rise because of global aging. However, few studies have examined the connection between Geriatric Nutritional Risk Index (GNRI) and overall mortality among inpatients with OPFs. Thus, our research seeks to investigate the link between GNRI and overall mortality in inpatients with OPFs.

METHODS

A retrospective cohort study was investigated on 3143 Kunshan OPFs residents aged ≥ 50 years. Participants were stratified into malnutrition (GNRI ≤ 98) and no malnutrition groups (GNRI > 98). Multivariate Cox regression analyses were utilized to evaluate the connection between GNRI and overall mortality. No non-linear association was detected through smoothed curve fitting and threshold analysis. Kaplan-Meier curves were employed to compare the cumulative risk of mortality across varying nutritional conditions. Subgroup analyses were conducted to further investigate the effects of age, sex and other clinical and laboratory factors on the link between GNRI and mortality.

RESULTS

3,143 qualified inpatients with OPFs were involved in the final evaluation. Kaplan-Meier curves revealed that the cumulative risk of mortality was markedly elevated in malnutrition group compared to no malnutrition group. In complete adjustments model, malnutrition group showed an adjusted hazard ratio (aHR) of 1.42 [95% CI 1.05, 1.90; P-value = 0.021]. Furthermore, subgroup analyses revealed that no substantial interactions were detected among all variables. (P-interaction > 0.05).

CONCLUSIONS

Reduced GNRI scores are linked to higher mortality in inpatients with OPFs. The GNRI potentially serve as a predictor for overall mortality risk in this population.

Preoperative geriatric nutritional risk index predicts prognosis and postoperative complications in elderly patients undergoing non-cardiac surgery: a retrospective cohort study

BACKGROUND

Little evidence on the association between geriatric nutritional risk index (GNRI) with prognosis and postoperative complications was observed. This study examined the potential prognostic value of GNRI in elderly patients undergoing non-cardiac surgery.

METHODS

This retrospective analysis was data retried from the Chinese elderly patients' perioperative database (CEPPD), a multicenter registry, from June 1st, 2012 to August 15th, 2019. Patients were categorized into at-risk group (GNRI ≤ 98) and no-risk group (GNRI > 98). Kaplan-Meier analysis and multivariate Cox proportional hazard regression were used to explore the association between GNRI and overall survival (OS). Multivariate logistic regression and linear regression were used to explore the association of the GNRI with postoperative complications. A propensity score matching (PSM) analysis was also conducted at a 1:1 ratio using the greedy nearest-neighbor method.

RESULTS

The final analysis included 28,762 elderly patients undergoing non-cardiac surgery. The PSM cohort included 7,063 patients in each group. The 1-year OS rate was 90.2% in the at-risk group vs. 96.3% in the no-risk group (P < 0.001). In Kaplan-Meier analysis, OS was significantly shorter in the at-risk group (P < 0.001 for both before matching and PSM). In multivariable Cox regression, at-risk GNRI was independently associated with OS in both the overall analysis (HR: 1.682; 95% CI: 1.502-1.882; P < 0.001) and the PSM cohort (HR: 1.501; 95% CI: 1.316-1.711; P < 0.001). At-risk GNRI was also independently associated with postoperative heart injury, acute renal injury, pulmonary infection, surgical site infection, intensive care unit (ICU) admission, longer ICU length of stay (LOS), and longer postoperative LOS.

CONCLUSIONS

Preoperative at-risk GNRI was associated with poor survival outcome and higher risk of postoperative complications in elderly patients undergoing non-cardiac surgery.

Geriatric Nutritional Risk Index Plays Important Role in Predicting In-Hospital Mortality in Patients With Severe Fever With Thrombocytopenia Syndrome: A Multi-Center Observational Study

Geriatric nutritional risk index (GNRI) has been proposed as a reliable indicator of nutritional state and, when decreased, is closely associated with the severity and mortality risk of infectious disease. The current study retrospectively recruited patients who were admitted for SFTS from January 1, 2011 to January 1, 2024 at six medical centers. Two hundred and eighty-two patients with SFTS who met the study protocol were finally enrolled in this study. Sixty patients suffered in-hospital death during hospitalization, with a mortality rate of 21.3%. After adjustment of multiple models, GNRI remained a significant predictor of in-hospital death, either examining HR by evaluating 1-unit decrease of GNRI or by taking the higher median of GNRI as reference (all p < 0.05). GNRI displayed a moderate-to-high strength in predicting in-hospital death, with an area under the receiver operating characteristic curve (AUC) of 0.791 [95% confidence interval (CI) 0.725-0.857, p < 0.001]. The addition of GNRI to a former established model exhibited significant improvement in the predictive value for in-hospital death. GNRI, an important indicator simply calculated from ALB and BMI, is significantly and independently related to the risk of in-hospital death in patients with SFTS.

A combined nutritional risk index and carcinoembryonic antigen score predicts the outcome in radically resected colorectal cancer

BACKGROUND

Nutritional risk index (NRI) and carcinoembryonic antigen (CEA) are useful prognostic markers in colorectal cancer (CRC); however, the prognostic value of a combination of the NRI and CEA, namely, the NRI and CEA score (NCS), needs further investigation.

METHODS

Stage I-III CRC patients were collected and then divided into three subgroups by counting the NCS: NCS 1: high NRI with normal CEA; NCS 2: high NRI with elevated CEA or low NRI with normal CEA; and NCS 3: low NRI with elevated CEA. The differences in outcome, counted as disease-free survival (DFS) and overall survival (OS), were tested among the subgroups.

RESULTS

A total of 285 patients were enrolled, with 108 in NCS 1, 118 in NCS 2 and 59 in NCS 3. Patient features, including age, tumour deposit, T stage, N stage and TNM stage, were significantly different in the NCS subgroups. Both the DFS (log-rank = 26.06, P<0.001) and OS (log-rank = 39.10, P<0.001) were significant in different NCS subgroups, even in maximum tumour diameter ≤4 cm cases (DFS: log-rank = 21.42, P<0.001; OS: log-rank = 30.95, P<0.001), and NCS 1 patients displayed the best outcome compared with the rest of the subgroups. NCS was also found to be an independent risk factor for both DFS and OS.

CONCLUSIONS

NCS was a useful prognostic indicator in stages I-III CRC patients.

A metabolic-inflammatory-nutritional score (MINS) is associated with lymph node metastasis and prognostic stratification for endometrial cancer patients

Objective: This study aims to propose a personalized cancer prediction model based on the metabolic-inflammatory-nutritional score (MINS) for predicting lymph node metastasis (LNM) in endometrial cancer (EC) and validated prediction of survival probability in patients with a family history of Lynch syndrome-associated cancers (LSAC). Methods: A total of 676 patients diagnosed with EC were enrolled in this study. We calculated the optimal cutoff value using restricted cubic splines (RCS) analysis or the mean value. Our feature selection process for constructing the MINS involved using the LASSO regression model. MINS were evaluated for LNM using logistic regression analysis. To assess the prognostic value of the MINS, we generated survival curves using the Kaplan-Meier method with a log-rank test. Furthermore, we constructed a nomogram to validate the prognostic significance of the MINS. The predictive accuracy of nomogram was evaluated using the concordance index (C-index) and calibration plot. Results: LNM risk was associated with family history of LSAC and MINS group (all adjusted p<0.05). Patients in the high-risk MINS group or patients with a family history of LSAC exhibited poorer overall survival (p=0.038, p=0.001, respectively). Additionally, a nomogram was demonstrated effective predictive performance with a C-index of 0.778 (95% CI: 0.725-0.832). Conclusion: Preoperative MINS has been determined to be associated with the risk of LNM in EC patients. Utilizing MINS as a basis, the development of a prognostic nomogram holds promise as an effective tool for risk stratification in clinical settings among EC patients with a family history of LSAC.

Geriatric Nutritional Risk Index and 30-Day Postoperative Mortality in Geriatric Burn Patients

INTRODUCTION

The geriatric nutritional risk index (GNRI) can easily identify malnutrition-associated morbidity and mortality. We investigated the association between preoperative GNRI and 30-d mortality in geriatric burn patients who underwent surgery.

METHODS

The study involved geriatric burn patients (aged ≥ 65 y) who underwent burn surgery between 2012 and 2022. The GNRI was computed using the following formula: 1.489 × serum albumin concentration (mg/L) + 41.7 × patient body weight/ideal body weight. Patients were dichotomized into the high GNRI (≥ 82) and low GNRI (< 82) groups. GNRI was evaluated as an independent predictor of 30-d postoperative mortality. The study also evaluated the association between GNRI and sepsis, the need for continuous renal replacement therapy (CRRT), major adverse cardiac events (MACE), and pneumonia.

RESULTS

Out of 270 patients, 128 (47.4%) had low GNRI (< 82). Multivariate Cox regression analysis revealed that low GNRI was significantly associated with 30-d postoperative mortality (hazard ratio: 1.874, 95% confidence interval [CI]: 1.146-3.066, P = 0.001). Kaplan-Meier analysis revealed that the 30-day mortality rate differed significantly between the low and high GNRI groups (log-rank test, P < 0.001). The 30-d postoperative mortality (hazard ratio: 2.677, 95% CI: 1.536-4.667, P < 0.001) and the incidence of sepsis (odds ratio [OR]: 2.137, 95% CI: 1.307-3.494, P = 0.004), need for CRRT (OR: 1.919, 95% CI: 1.101-3.344, P = 0.025), MACE (OR: 1.680, 95% CI: 1.018-2.773, P = 0.043), and pneumonia (OR: 1.678, 95% CI: 1.019-2.764, P = 0.044), were significantly higher in the low GNRI group than in the high GNRI group.

CONCLUSIONS

Preoperative low GNRI was associated with increased 30-d postoperative mortality, sepsis, need for CRRT, MACE, and pneumonia in geriatric burn patients.

Post-diagnosis adiposity and colorectal cancer prognosis: A Global Cancer Update Programme (CUP Global) systematic literature review and meta-analysis

The adiposity influence on colorectal cancer prognosis remains poorly characterised. We performed a systematic review and meta-analysis on post-diagnosis adiposity measures (body mass index [BMI], waist circumference, waist-to-hip ratio, weight) or their changes and colorectal cancer outcomes. PubMed and Embase were searched through 28 February 2022. Random-effects meta-analyses were conducted when at least three studies had sufficient information. The quality of evidence was interpreted and graded by the Global Cancer Update Programme (CUP Global) independent Expert Committee on Cancer Survivorship and Expert Panel. We reviewed 124 observational studies (85 publications). Meta-analyses were possible for BMI and all-cause mortality, colorectal cancer-specific mortality, and cancer recurrence/disease-free survival. Non-linear meta-analysis indicated a reverse J-shaped association between BMI and colorectal cancer outcomes (nadir at BMI 28 kg/m2). The highest risk, relative to the nadir, was observed at both ends of the BMI distribution (18 and 38 kg/m2), namely 60% and 23% higher risk for all-cause mortality; 95% and 26% for colorectal cancer-specific mortality; and 37% and 24% for cancer recurrence/disease-free survival, respectively. The higher risk with low BMI was attenuated in secondary analyses of RCTs (compared to cohort studies), among studies with longer follow-up, and in women suggesting potential methodological limitations and/or altered physiological state. Descriptively synthesised studies on other adiposity-outcome associations of interest were limited in number and methodological quality. All the associations were graded as limited (likelihood of causality: no conclusion) due to potential methodological limitations (reverse causation, confounding, selection bias). Additional well-designed observational studies and interventional trials are needed to provide further clarification.

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.

Geriatric nutritional risk index as a predictor for postoperative complications in patients with solid cancers: a meta-analysis

Background

The geriatric nutritional risk index (GNRI) has been wildly used to predict the prognosis of patients with solid cancer, but it's value in postoperative complications remains unclear. The aim of our study was to systematically explore the value of the GNRI in postoperative complications in patients with solid cancer.

Method

The study conducted a systematic literature search using electronic databases to investigate the influence of the GNRI on postoperative complications in patients with solid cancer. The search covered articles published up until May 2023. The odds ratio (OR) with a 95% confidence interval (CI) was employed to assess the effect of GNRI on postoperative complications.

Result

A total of 11 studies with 11,002 patients were enrolled in our meta-analysis. The results suggested that patients with a low GNRI have a higher risk of experiencing postoperative complications (OR=2.51, 95%CI 2.05-3.02, z=9.86, p<0.001), a higher risk of suffering Clavien-Dindo (CD) grades≥2 complications(OR=2.24, 95%CI 1.84-2.73, z=8.01, p<0.001), a higher risk of suffering infection (OR=1.85, 95%CI 1.18-2.88, z=2.70, p=0.007) and a higher risk of suffering respiratory complications(OR = 2.94, 95%CI: 1.56-5.55, z=3.31, p=0.001).

Conclusion

Based on existing evidence, the GNRI was a valuable predictor of postoperative complications in patients with solid cancer.

Systematic review registration

https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=434299, identifier CRD42023434299.

Development and validation of a nomogram based on geriatric nutritional risk index for predicting prognosis and postoperative complications in surgical patients with upper urinary tract urothelial carcinoma

BACKGROUND

This study aimed to evaluate the potential role of the Geriatric Nutritional Risk Index (GNRI) in predicting oncological outcomes and postoperative complications in UTUC patients undergoing radical nephroureterectomy (RNU) and to develop a nomogram incorporating GNRI to predict outcomes.

METHODS

A retrospective analysis was performed on 458 consecutive patients who underwent RNU in our center. According to nutritional scores, patients were divided into the following groups: low GNRI (GNRI ≤ 98) and high GNRI (GNRI > 98). Univariable and multivariable logistic regression were performed to investigate the role of GNRI in predicting the perioperative complications. The survival was compared with Kaplan - Meier curve, and test by log-rank tests. Risk factors associated with cancer-specific survival (CSS) and overall survival (OS) were evaluated using Cox proportional hazards regression model and were integrated into a nomogram for individualized risk prediction. The calibration and discrimination ability of the model were evaluated by concordance index (C-index) and risk group stratification.

RESULTS

When compared with high GNRI, low GNRI had significantly lower survival (CSS, p < 0.001; OS, p < 0.001). Across all patients, multivariable analyses revealed that low GNRI was an independent prognostic factor (CSS, p = 0.007; OS, p = 0.005). Nomograms for 1-, 3-, and 5 years of CSS and OS had good performance. Patients can be stratified into different groups based on the nomogram, with significant differences in OS and CSS. Further, GNRI was also found to be an independent risk factor for postoperative complications. The complication - prediction nomogram based on GNRI was also internally validated and showed good performance.

CONCLUSIONS

The GNRI score is an independent predictor for the prognosis and postoperative complications of UTUC following RNU. This study presented a nomogram incorporating preoperative GNRI that might be used as a convenient tool to facilitate the preoperative individualized prediction of short- and long-term outcomes for patients with UTUC.

Prognostic value of pre-therapeutic nutritional risk factors in elderly patients with locally advanced esophageal squamous cell carcinoma receiving definitive chemoradiotherapy or radiotherapy

BACKGROUND

The nutritional status of cancer patients is a crucial factor in determining their prognosis. The objective of this study was to investigate and compare the prognostic value of pretreatment nutrition-related indicators in elderly esophageal squamous cell carcinoma (ESCC). Risk stratification was performed according to independent risk factors and a new nutritional prognostic index was constructed.

METHODS

We retrospectively reviewed 460 older locally advanced ESCC patients receiving definitive chemoradiotherapy (dCRT) or radiotherapy (dRT). This study included five pre- therapeutic nutrition-related indicators. The optimal cut-off values for these indices were calculated from the Receiver Operating Curve (ROC). Univariate and multivariate COX analyses were employed to determine the association between each indicator and clinical outcomes. The predictive ability of each independently nutrition-related prognostic indicator was assessed using the time-dependent ROC (time-ROC) and C-index.

RESULTS

Multivariate analyses indicated that the geriatric nutrition risk index (GNRI), body mass index (BMI), the controlling nutritional status (CONUT) score, and platelet-albumin ratio (PAR) could independently predict overall survival (OS) and progression-free survival (PFS) in elderly patients with ESCC (all p < 0.05), except for prognostic nutritional index (PNI). Based on four independently nutrition-related prognostic indicators, we developed pre-therapeutic nutritional prognostic score (PTNPS) and new nutritional prognostic index (NNPI). No-risk (PTNPS = 0-1 point), moderate-risk (PTNPS = 2 points), and high-risk (PTNPS = 3-4 points) groups had 5-year OS rates of 42.3%, 22.9%, and 8.8%, respectively (p < 0.001), and 5-year PFS rates of 44.4%, 26.5%, and 11.3%, respectively (p < 0.001). The Kaplan-Meier curves showed that the mortality of elderly ESCC patients in the high-risk group was higher than that in the low-risk group according to the NNPI. Analysis of time-AUC and C-index revealed that the NNPI (C-index: 0.663) had the greatest predictive power on the prognosis in older ESCC patients.

CONCLUSIONS

In elderly ESCC patients, the GNRI, BMI, CONUT score, and PAR can be used as objective assessment measures for the risk of nutrition-related death. Compared to the other four indexes, the NNPI has the greatest prognostic value for prognosis, and elderly patients with a higher nutritional risk have a poor prognosis, which is helpful in guiding early clinical nutrition intervention.

The Geriatric Nutritional Risk Index is a prognostic marker in patients with metastatic colorectal cancer

BACKGROUND

The Geriatric Nutritional Risk Index (GNRI) is a nutritional index for elderly patients that is associated with prognosis in cancer patients. We investigated using the GNRI in patients with metastatic colorectal cancer to predict prognosis.

METHODS

This study included 419 metastatic colorectal cancer patients who received first-line chemotherapy between February 2005 and December 2020. First, we calculated pre-treatment GNRI and divided the patients into four groups according to the values (G1-G4). We evaluated patient characteristics and overall survival in the four groups.

RESULTS

Overall, 419 patients were included. The median follow-up was 34.4 months. Lower GNRI was positively associated with a lower grade Eastern Cooperative Oncology Group Performance Status (p = 0.009), synchronous metastases (p < 0.001), primary tumor resection prior to chemotherapy (p = 0.006), and did not undergo resection after chemotherapy (p < 0.001). Patients with low GNRI had significantly shorter overall survival than the group with high GNRI (median OS: G1 = 19.3 months [M], G2 = 30.8 M, G3 = 38 M, G4 = 39.7 M; log-rank test, p < 0.001). Multivariate Cox regression analysis showed that GNRI was an independent prognostic factor (G3: HR = 0.49, 95% CI = 0.35-0.69; G4: HR = 0.67, 95% CI = 0.48-0.93). In the subgroup analysis of overall survival, we found no interaction between clinicopathological factors and the prognostic value of GNRI. Interestingly, younger patients (< 70 years) but not older patients showed a significant difference in overall survival according to GNRI, despite being the metric being designed for elderly patients.

CONCLUSION

Pretreatment GNRI can be a prognostic marker for patients with mCRC who received systemic chemotherapy.

A novel inflammation-nutrition biomarker score for predicting prognosis of patients with cancer: results from a multicenter study

Background

This study aimed to develop an innovative inflammation-nutrition biomarker score (INS) system to stratify the prognoses of patients with cancer.

Methods

A total of 5,221 patients with cancer from multiple centers in China between June 2010 and December 2017 were enrolled in this prospective cohort study. We compared the commonly used inflammation and nutrition biomarkers and selected the most valuable to develop the novel INS system. Survival curves were assessed using the Kaplan–Meier method and the log-rank test to evaluate the difference in survival rates between groups. The Cox proportional hazards model was used to investigate the association between biomarkers and all-cause mortality.

Results

As the risk stratification of INS increased (1 to 5), the rate of death for cancer patients gradually increased (25.43% vs. 37.09% vs. 44.59% vs. 56.21% vs. 61.65%, p < 0.001). The INS system was associated with all-cause mortality in patients with cancer. Patients with both high inflammation and nutrition risk (INS = 5) were estimated to have much worse prognosis than those with neither (HR, 2.606; 95%CI, 2.261–3.003, p < 0.001). Subsequently, the results of randomized internal validation also confirmed that INS system had an ideal effect in identifying adverse outcomes. In addition, the INS system could be used as a supplement to pathological stages in prognosis assessment, and had a higher predictive value in comparison with the constitute biomarkers. Patients with a high INS had less functional ability, reduced quality of life, and were at high risk of malnutrition, cachexia, and poor short-term outcomes.

Conclusion

The INS system based on inflammation and nutrition biomarkers is a simple and effective prognostic stratification tool for patients with cancer, which can provide a valuable reference for clinical prognosis assessment and treatment strategy formulation.

Inflammatory geriatric nutritional risk index stratified the survival of older adults with cancer sarcopenia

BACKGROUND

Aging is accompanied by muscle loss. In older adults with cancer sarcopenia (OACS), systemic inflammation, reduced food intake, and reduced physical activity led to a poor prognosis. This study was to investigate the prognostic ability of the inflammatory Geriatric Nutritional Risk Index (GNRI), which combines patient's inflammation, diet status, and physical activity status to predict overall survival of OACS.

METHODS

This prospective multi-center study enrolled 637 OACS, with an average age of 72.78 ± 5.98 years, of which 408 (64.1%) were males. We constructed the Inflammatory Functional Prognostic Index (IFPI) of OACS based on inflammatory GNRI scores, reduced food intake, and reduced physical activity. According to the IFPI, OACS was divided into high-, moderate-, and low-risk groups. Univariate and multivariate survival analyses analyzed the prognostic ability of the clinical parameters.

RESULTS

Compared with OACS with a high GNRI score, the 1-, 3-, and 5-year hazard ratios (95% confidence interval) of OACS with a low GNRI score was 1.816 (1.076-3.063), 1.678 (1.118-2.518), and 1.627 (1.101-2.407), respectively. This result was consistent with that of the calibration curve. The subgroup analysis showed that the low GNRI score had a significant positive relation with patients with gastrointestinal cancer (P_interaction  < 0.001). Notably, the survival analysis of IFPI showed that the mortality risk of moderate- and high-risk patients was 1.722-and 2.509-fold higher, respectively, than that of low-risk patients.

CONCLUSION

The GNRI score was a short-term and long-term inflammatory prognostic indicator for OACS. The IFPI score could improve patient survival prediction.

Prognostic value of the geriatric nutritional index in colorectal cancer patients undergoing surgical intervention: A systematic review and meta-analysis

BACKGROUND

We reviewed the literature to assess the prognostic ability of the geriatric nutritional risk index (GNRI) for patients with colorectal cancer (CRC) undergoing curative surgery.

METHODS

The online databases of PubMed, CENTRAL, ScienceDirect, Embase, and Google Scholar were searched for articles reporting the relationship between GNRI and outcomes in CRC patients. English language studies were searched up to 28th April 2022.

RESULTS

Ten studies with 3802 patients were included. Meta-analysis indicated that patients with low GNRI had significantly poor overall survival (HR: 2.41 95% CI: 1.72, 3.41 I2 = 68%) and disease-free survival (HR: 1.92 95% CI: 1.47, 2.49 I2 = 49%) as compared to those with high GNRI. The meta-analysis also indicated a significantly higher risk of complications with low GNRI as compared to high GNRI (HR: 1.98 95% CI: 1.40, 2.82 I2 = 0%). The results did not change on subgroup analysis based on study location, age group, GNRI cut-off, and sample size.

CONCLUSION

Current evidence indicates that GNRI can be a valuable prognostic indicator for CRC patients undergoing surgical intervention. Patients with low GNRI have poor overall and disease-free survival and a higher incidence of complications. Clinicians could use this simple indicator to stratify patients and formulate personalized treatment plans.

SYSTEMATIC REVIEW REGISTRATION

https://www.crd.york.ac.uk/prospero/, identifier (CRD42022328374).

Predictive Value of Geriatric Nutritional Risk Index in Patients with Colorectal Cancer: A Meta-Analysis

Geriatric Nutritional Risk Index (GNRI) has been used as a predictor of adverse prognosis in patients with colorectal cancer (CRC). This meta-analysis sought to evaluate the prognostic role of GNRI in CRC patients. Two authors comprehensively searched the studies indexed in PubMed and Embase databases until March 15, 2022. Only observational studies evaluating the association between GNRI and adverse outcomes in patients with CRC were eligible. The prognostic value of GNRI was expressed by pooling the adjusted hazard ratio (HR) with 95% confidence intervals (CI) for the low vs. high GNRI group. Eight retrospective studies enrolling 3239 CRC patients were included. When comparing the low with the high GNRI group, the pooled HR was 2.40 (95% CI 1.71-3.39) for overall survival, 1.63 (95% CI 1.35-1.96) for disease-free survival, and 1.85 (95% CI 1.21-1.83) for ≥ 2 Clavien-Dindo Grade postoperative complications, respectively. Moreover, malnutrition defined by the cutoff GNRI at 98 was associated with a reduced overall survival (HR 1.66; 95% CI 1.37-2.02). Low GNRI score may be a promising predictor of postoperative complications and long-term poor survival in Asian patients with CRC. Malnutrition defined by the GNRI can be applied to improve risk stratification of CRC.

Prognostic Role of Pretreatment Geriatric Nutritional Risk Index in Colorectal Cancer Patients: A Meta-Analysis

To identify the prognostic value of the pretreatment geriatric nutritional risk index (GNRI) in colorectal cancer. Several electronic databases were searched up to March 15, 2022, for relevant studies. The primary and secondary outcomes were overall survival (OS) and disease-free survival (DFS), respectively. The hazard ratios (HRs) with 95% confidence intervals (CIs) were combined. Bess's funnel plot and Egger's test were conducted to detect publication bias, and the trim-and-fill method was performed to identify potentially unpublished papers and their impacts on the overall results. Nine studies from Japan and China involving 3440 participants were enrolled in the current meta-analysis. The pooled results indicated that a low pretreatment GNRI was significantly associated with poorer OS (HR = 2.28, 95% CI: 1.69-3.07, P < 0.001; I²=63.5%, P_{heterogeneity}=0.005) and DFS (HR = 1.62, 95% CI: 1.35-1.96, P < 0.001; I²=46.4%, P_{heterogeneity}=0.114). Subgroup analysis stratified by country and treatment showed similar results. Significant publication bias was manifested by the asymmetric Begg's funnel plot and P = 0.012 of Egger's test, but three potentially unpublished studies did not have a significant impact on the overall results. A lower pretreatment GNRI was a novel prognostic risk factor for Japanese and Chinese colorectal cancer patients.

Combination of Geriatric Nutritional Risk Index and Carcinoembryonic Antigen to Predict the Survival of Patients With Colorectal Cancer

Background

This study explored the value of the combination of Geriatric Nutritional Risk Index (GNRI) and carcinoembryonic antigen (CEA) for the prognosis assessment of CRC patients.

Methods

This study retrospectively enrolled 1,014 CRC patients who underwent surgery between 2012 and 2014. Kaplan-Meier and log-rank tests were used to compare survival differences. Cox proportional hazards regression analysis was used to assess risk factors associated with progression-free survival (PFS) and overall survival (OS). Nomograms were constructed to predict the prognosis of CRC patients. Randomized internal validation was used to confirm the predictive accuracy of the prognostic nomograms.

Results

The GNRI-CEA score was established by combining GNRI and CEA. Compared with patients with normal GNRI-CEA scores, patients with mild/moderate/severe GNRI-CEA scores had significantly lower survival (PFS, 68.99% vs. 57.75% vs. 41.34% vs. 31.36%, p < 0.001; OS, 68.99% vs. 57.75% vs. 41.34% vs. 31.36%, p < 0.001). The GNRI-CEA score is an independent factor predicting the prognosis of CRC patients. The risk of death was twofold higher in patients with low GNRI and high CEA than in those with both normal GNRI and CEA [PFS, hazard ratio (HR), 2.339; 95% confidence interval (CI), 1.656-3.303; p < 0.001; OS, HR, 2.340; 95% CI, 1.645-3.329; p < 0.001]. Prognostic nomograms had good resolution and accuracy in predicting 1-5 year PFS and OS. Randomized internal validation showed that the nomograms were reliable.

Conclusion

The combination of GNRI and CEA can effectively stratify the prognosis of CRC patients. The nomogram established based on the two indices can provide a personalized reference for prognostic assessment and clinical decision-making for CRC patients.

Geriatric Nutritional Risk Index and Survival of Patients With Colorectal Cancer: A Meta-Analysis

Background

Geriatric nutritional risk index (GNRI) is an indicator of nutritional status derived by serum albumin level and ideal body weight, which has been proposed as a predictor of prognosis for elderly population with various clinical conditions. The objective of the meta-analysis was to comprehensively evaluate the association between baseline GNRI and survival of patients with colorectal cancer (CRC).

Methods

Cohort studies were identified by search of PubMed, Embase, and Web of Science databases from inception to January 05, 2022 according to the aim of the meta-analysis. A random-effect model incorporating the potential between-study heterogeneity was adopted to pool the results.

Results

Nine studies including 3658 patients with CRC contributed to the meta-analysis. Results showed that CRC patients with lower GNRI at baseline had worse overall survival (OS, hazard ratio [HR] 2.39, 95% confidence interval [CI] 1.78-3.23, p<0.001; I2 = 60%) and progression-free survival (PFS, HR 1.77, 95% CI 1.38-2.26, p<0.001; I2 = 33%). The results were consistent in sensitivity analyses limited to elderly patients (HR for OS 2.25, p<0.001; HR for PFS 1.65, p=0.003). Subgroup analyses showed consistent results in patents with different cancer stages, and in studies with median follow-up < and ≥ 5 years (p for subgroup effects all < 0.05).

Conclusion

A lower GNRI at baseline may be independent associated with poor survival outcomes of patients with CRC. Evaluating the nutritional status using GNRI may be important for risk stratification of patients with CRC.

Prognostic Value of the Albumin-to-Globulin Ratio in Patients with Colorectal Cancer: A Meta-Analysis

Recently, the albumin-to-globulin ratio (AGR) has been investigated as a prognostic parameter in patients with colorectal cancer (CRC); however, the results remain inconsistent. We aimed to quantitatively identify the prognostic role of the AGR in CRC through meta-analysis. Combined hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated to assess the prognostic value of the AGR for overall survival (OS), disease-free survival (DFS)/progression-free survival (PFS), and cancer-specific survival (CSS). The association between the AGR and clinicopathological factors was investigated using pooled odds ratios (ORs) and 95% CIs. Eleven studies, comprising 8,397 patients, were included in this meta-analysis. Our results demonstrated that a low AGR was significantly associated with poor OS (HR, 2.58; 95% CI, 1.90-3.51; p < 0.001) and poor DFS/PFS (HR, 2.11; 95% CI, 1.46-3.05; p < 0.001) in CRC. However, the AGR was not a significant prognostic factor for CSS (HR, 1.008; 95% CI, 0.372-2.730; p = 0.988). In addition, a low AGR was associated with patients aged ≥60 years (OR, 1.71; 95% CI, 1.54-1.89; p < 0.001). A low AGR was significantly associated with worse OS and inferior DFS/PFS in patients with CRC. Thus, AGR can be used as a cost-effective and reliable prognostic marker for CRC in clinical practice.

Prognostic impact of preoperative Geriatric Nutritional Risk Index in oral squamous cell carcinoma

OBJECTIVES

To investigate the prognostic impact of preoperative Geriatric Nutritional Risk Index (GNRI) values in older adults undergoing radical surgery for oral squamous cell carcinoma (OSCC).

SUBJECTS AND METHODS

This retrospective study included 61 patients ≥ 65 years old with OSCC (43 men, 18 women; age: 72.1±5.4 years) who underwent radical surgery between 2013 and 2020. Factors influencing overall survival (OS) and disease-free survival (DFS) were examined.

RESULTS

Receiver operating characteristic curve analysis indicated that the optimal GNRI value for classifying patients into low-GNRI (<93.7; OS: n=19 [31.1%], DFS: n=42 [68.9%]) and high-GNRI groups (≥93.7; OS, n=19 [31.1%]; DFS, n=42 [68.9%]) was 93.7. OS and DFS rates were significantly lower in the low-GNRI group than in the high-GNRI group. Univariate analysis indicated that alcohol use, preoperative serum C-reactive protein level, lymphatic invasion, postoperative treatment, and GNRI were significantly correlated with OS, while lymphatic invasion, postoperative treatment, and GNRI were significantly correlated with DFS. In multivariate analysis, only GNRI was significantly correlated with OS. DFS and postoperative treatment were independent predictors of DFS.

CONCLUSIONS

Preoperative GNRI may be a significant prognostic factor in older adults with OSCC. GNRI assessment and nutritional intervention may improve prognosis in patients at high nutritional risk.

Association of Modified Geriatric Nutrition Risk Index and Handgrip Strength With Survival in Cancer: A Multi-Centre Cohort Study

Background

This study aimed to explore the value of combining the modified geriatric nutrition risk index (mGNRI) and handgrip strength (HGS) in the prognosis assessment of cancer.

Methods

This multicenter, prospective cohort study, enrolled 5,607 cancer patients from 27 medical centers across 17 provinces in China between June 2012 and December 2019. The primary outcome was overall survival. Secondary outcomes included the Karnofsky Performance Scale (KPS) score, Patient-Generated Subjective Global Assessment (PG-SGA) score, cachexia, and admission 90-day outcome. A composite prognostic score (mGNRI-HGS score) was developed based on the mGNRI and HGS. The Kaplan–Meier method was used to draw the survival curve, and log-rank analysis was used to estimate the survival rate. The Cox proportional hazards model was used to investigate the associations of the mGNRI, HGS or mGNRI-HGS score with risk of mortality among the cancer patients, adjusted for potential confounders.

Results

A low mGNRI (HR = 0.99, 95%CI = 0.98–0.99, p < 0.001) and low HGS (HR = 0.99, 95%CI = 0.98–0.99, p = 0.001) were associated with an increased risk of mortality. A severe mGNRI-HGS score was independently associated with reduced survival. Compared with patients with normal scores, the risk of mortality among the patients with moderate and severe mGNRI-HGS scores was 28.8 and 13.3% higher, respectively. Even within the same pathological stage, it presented significant gradient prognostic stratification. Additionally, a low mGNRI-HGS score was also independently associated with a higher risk of low KPS (p < 0.001), high PGSGA (p < 0.001), cachexia (p < 0.001), and adverse admission 90-day outcome (p < 0.001).

Conclusions

The mGNRI and HGS may be useful predictors of long-term prognosis in cancer patients. The combination of the two methods provides effective prognostic stratification for cancer patients and could predict physical frailty, malnutrition, and cachexia.

Geriatric nutritional risk index as a prognostic indicator in elderly patients with early colorectal cancer undergoing endoscopic submucosal dissection

OBJECTIVES

Data on the long-term outcomes of endoscopic submucosal dissection (ESD) performed in elderly patients with early colorectal cancer (CRC) are limited. We analyzed the prognosis of elderly CRC patients, not only from the viewpoint of treatment curability but also from the patients' baseline physical condition assessed by several indexes.

METHODS

A retrospective analysis of 729 patients aged ≥75 years who underwent ESD for Tis/T1 CRC in 16 institutions was conducted. The patients were classified into three groups based on curability: curative ESD (Group A, n = 582), non-curative ESD with additional surgery (Group B, n = 60), and non-curative ESD without additional surgery (Group C, n = 87). Overall survival (OS) was compared among the groups, and factors associated with reduced OS were investigated.

RESULTS

The median follow-up periods in Groups A, B, and C were 41, 49, and 46 months, respectively (P = 0.62), during which 92 patients died. Two patients (0.3%) in Group A, none (0%) in Group B, and three (3.4%) in Group C died of CRC. Three-year OS rates in Groups A, B, and C were 93.9%, 96.1%, and 90.1%, respectively, without a significant difference (P = 0.07). Multivariate analysis indicated low (<96.3) geriatric nutritional risk index (GNRI) as the sole independent predictor for reduced OS (hazard ratio 3.37; 95% confidence interval 2.18-5.22; P < 0.0001).

CONCLUSIONS

Low GNRI, but not the curability attained by ESD, was independently associated with reduced OS in patients with early CRC aged ≥75 years.

Pretreatment Albumin-to-Fibrinogen Ratio is a Promising Biomarker for Predicting Postoperative Clinical Outcomes in Patients with Colorectal Cancer

PURPOSE

To evaluate the prognostic value of pretreatment albumin-to-fibrinogen ratio (AFR) in colorectal cancer (CRC).

METHODS

This retrospective study included 657 CRC patients who underwent surgical resection in 2012-2014. Kaplan-Meier survival curve and Cox proportional hazards model were used to determine independent predictors. Receiver operating characteristic curve analysis was used to assess and compare the ability of indicators to predict survival.

RESULTS

The optimal cutoff value of AFR was 8.3. Compared with high AFR group, low AFR group had shorter progression-free survival (PFS) (65.32% vs 52.28%, p < 0.001) and overall survival (OS) (67.47% vs 56.14%, p = 0.001). In the stratified analysis of TNM stage, AFR had good prognostic discrimination for early- and advanced-stage patients. Multivariate analysis suggested that AFR was an independent prognostic factor of PFS [hazard ratio (HR) = 1.385, 95% confidence interval (CI) = 1.043-1.839, p = 0.024) and OS (HR = 1.342, 95% CI = 1.022-1.763, p = 0.034) for CRC patients. AFR had better prognostic prediction ability than other inflammation-related markers. The AFR-based nomograms had good predictive capabilities.

CONCLUSIONS

Pretreatment AFR is an independent prognostic factor for CRC patients undergoing surgical resection and is superior to other established inflammation-related markers.

Nutritional Risk Index Predicts Survival in Patients With Breast Cancer Treated With Neoadjuvant Chemotherapy

Nutritional risk index (NRI) is an index based on ideal body weight that aims to present body weight and serum albumin levels. It has been utilized to discriminate patients at risk of postoperative complications and predict the postoperative outcome of major surgeries. However, this index remains limited for breast cancer patients treated with neoadjuvant chemotherapy (NACT). The research explores the clinical and prognostic significance of NRI in breast cancer patients. This study included 785 breast cancer patients (477 cases received NACT and 308 cases did not) were enrolled in this retrospective study. The optimal NRI cutoff value was evaluated by receiver operating characteristic (ROC) curve, then reclassified as low NRI group (<112) and high NRI group (≥112). The results demonstrated that NRI independently predicted survival on disease-free survival (DFS) and overall survival (OS) by univariate and multivariate Cox regression survival analyses [P = 0.019, hazard ratio (HR): 1.521, 95% CI: 1.071–2.161 and P = 0.004, HR: 1.415, 95% CI: 1.119–1.789; and P = 0.026, HR:1.500, 95% CI: 1.051–2.143 and P < 0.001, HR: 1.547, 95% CI: 1.221–1.959]. According to the optimal cutoff value of NRI, the high NRI value patients had longer mean DFS and OS time in contrast to those with low NRI value patients (63.47 vs. 40.50 months; 71.50 vs. 56.39 months). Furthermore, the results demonstrated that the high NRI score patients had significantly longer mean DFS and OS time than those with low NRI score patients in early-stage breast cancer (χ² = 9.0510, P = 0.0026 and χ² = 9.2140, P = 0.0024) and advanced breast cancer (χ² = 6.2500, P = 0.0124 and χ² = 5.8880, P = 0.0152). The mean DFS and OS values in patients with high NRI scores were significantly longer in contrast to those with low NRI scores in different molecular subtypes. The common toxicities after NACT were hematologic and gastrointestinal reactions, and the NRI had no statistically significant effects on toxicities, except in nausea (χ² = 9.2413, P = 0.0024), mouth ulcers (χ² = 4.8133, P = 0.0282), anemia (χ² = 8.5441, P = 0.0140), and leukopenia (χ² = 11.0951, P = 0.0039). NRI serves as a minimally invasive, easily accessible and convenient prognostic tool for evaluating breast cancer prognoses and treatment efficacy, and may help doctors in terms of selecting measures of greater efficiency or appropriateness to better treat breast cancer.

Geriatric Nutrition Risk Index: Prognostic factor related to inflammation in elderly patients with cancer cachexia

BACKGROUND

Systemic inflammation and cachexia are associated with adverse clinical outcomes in elderly patients with cancer. The Geriatric Nutritional Risk Index (GNRI) is a simple and useful tool to assess these conditions, but its predictive ability for elderly patients with cancer cachexia (EPCC) is unknown.

METHODS

This multicentre cohort study included 746 EPCC with an average age of 72.00 ± 5.24 years, of whom 489 (65.5%) were male. The patients were divided into two groups (high GNRI group ≥91.959 vs. low GNRI group <91.959) according to the optimal cut-off value of the ROC curve. The calibration curves were performed to analyse the prognostic, predictive ability of GNRI. Comprehensive survival analyses were utilized to explore the relationship between GNRI and the overall survival (OS) of EPCC. Interaction analysis was used to investigate the comprehensive effects of low GNRI and subgroup parameters on the OS of EPCC.

RESULTS

In this study, a total of 2560 patients were diagnosed with cancer cachexia, including 746 cases of EPCC. During the 3.6 year median follow-up, we observed 403 deaths. The overall mortality rate for EPCC at 12 months was 34.3% (95% CI: 62.3% to 69.2%), and resulting in rate of 278 events per 1000 patient-years. The GNRI score of EPCC was significantly lower than those of young patients with cancer cachexia (P < 0.001). The 1, 3, and 5 year calibration curves showed that the GNRI score had good survival prediction in the OS of EPCC. The GNRI could predict the OS of EPCC, whether as a continuous variable or a categorical variable. Particularly, we also found that low GNRI score (<91.959) of EPCC had a worse prognosis than those with a high GNRI score (≥91.959, P = 0.001, HR = 1.728, 95% CI: 1.244-2.401). Consistent results were observed in the tumour subgroups of gastric cancer and colorectal cancer. Notably, similar results were observed in the sensitivity analysis. In the subgroup analysis, the low GNRI has a combined effect with age (<70 years) on poor OS of EPCC. The results of the prognostic risk model found that the lower the GNRI score, the greater the prognostic risk score, and the greater the risk of death in EPCC.

CONCLUSIONS

For the first time, this study found that the GNRI score can serve as an independent prognostic factor for the OS of EPCC.

The Clinical Utility of the Geriatric Nutritional Risk Index in Predicting Postoperative Complications and Long-Term Survival in Elderly Patients with Colorectal Cancer after Curative Surgery

Simple Summary

Elderly cancer patients usually suffer with malnutrition. Preoperative malnutrition has been considered a poorer prognostic factor in cancer treatment. The geriatric nutritional risk index (GNRI) is a simple tool for predicting the risk of morbidity and mortality in elderly patients by using albumin, height, and body weight parameters. In this study, we evaluated whether GNRI is a reliable marker for postoperative complications and long-term survival. By retrospectively evaluating 1206 CRC patients aged over 75 years who underwent curative-intent surgery at Chang Gung Memorial Hospital, there were significantly more postoperative complications in the low GNRI group (p < 0.001) and GNRI was an independent risk factor for postoperative complications (HR: 1.774, p = 0.037). Overall survival and disease-free survival were significantly worse in the low GNRI group (both p < 0.001) and a GNRI < 98 was statistically identified as an independent prognostic factor for survival. Conclusively, GNRI can be a reliable biomarker in clinical practice.

Abstract

Research on the relationship between the geriatric nutritional risk index (GNRI) and postoperative complications/oncological outcomes in elderly colorectal cancer (CRC) patients is limited. This study investigated the prognostic value of the GNRI in aged CRC patients. We retrospectively analyzed 1206 consecutive CRC patients aged over 75 years who underwent curative-intent surgery from January 2008 to December 2015 and categorized them into high GNRI (≥98) and low GNRI (<98) groups according to a receiver operating characteristic (ROC) curve analysis. Uni- and multivariate logistic regression analysis were used to explore the association of the GNRI with postoperative complications. Kaplan–Meier survival analyses and the Cox proportional hazard model were used to explore the association between GNRI and survival. We discovered that GNRI is an independent risk factor for postoperative complications (HR: 1.774, p = 0.037). Surgical site infection, wound dehiscence and pneumonia were more common in patients with GNRI < 98. Survival analysis showed significantly worse overall survival and disease-free survival in the low GNRI group (both p < 0.001). In the multivariate analysis, GNRI < 98 was an independent risk factor for OS (HR: 1.329, p = 0.031) and DFS (HR: 1.312, p = 0.034). Thus, preoperative GNRI can be effectively used to predict postoperative complications and long-term survival in elderly CRC patients after curative surgery.

Prognostic Utility of Geriatric Nutritional Risk Index After Curative Resection of Colorectal Cancer: A Propensity Score-matched Study

BACKGROUND/AIM

The geriatric nutrition risk index (GNRI) is a presumptive prognosticator in a variety of carcinomas. We investigated whether it similarly predicts outcomes of elderly patients with colorectal cancer (CRC).

PATIENTS AND METHODS

A total of 904 older adults (≥65 years) undergoing radical resections of CRC between April 2011 and December 2015 proved eligible for study. Each was grouped by preoperative status (cut-off point, 98) as low-level or normal GNRI, using propensity score matching to compare rates of complications, disease-free survival (DFS), and overall survival (OS).

RESULTS

After matching (n=127, each group), those with low-level (vs. normal) GNRI values experienced significantly more complications (p=0.001), and 5-year survival was significantly poorer (DFS: p=0.006; OS: p=0.002).

CONCLUSION

In elderly patients with resected CRC, preoperative GNRI may have significant prognostic merit.

Geriatric nutritional risk index predicts cancer prognosis in patients with local advanced rectal cancer undergoing chemoradiotherapy followed by curative surgery

Aim

The clinical significance of the geriatric nutritional risk index (GNRI) in locally advanced rectal cancer (LARC) patients undergoing preoperative chemoradiotherapy (CRT) followed by curative surgery has not been comprehensively evaluated.

Methods

This retrospective study enrolled 93 LARC patients diagnosed with clinical lymph node metastasis. The GNRI formula was as follows: 1.489 × albumin (g/l) + 41.7 × current weight/ideal weight. Patients were categorized as GNRI low (GNRI < 104.25) or high (GNRI > 104.25) according to the receiver operating characteristic (ROC) curve for survival analysis. The impact of GNRI status on the prognostic outcomes of curative surgery for LARC was examined.

Results

There were 55 (59.14%) and 38 (40.86%) patients in the GNRI high and low groups, respectively. Of the investigated demographic factors, age, pathological tumor invasion, and presence of recurrence were significantly associated with the GNRI value. In Kaplan–Meier analysis, overall survival (OS) and disease-free survival (DFS) were significantly shorter in the GNRI low group (OS: p = 0.00020, DFS: p = 0.0044, log-rank test). Multivariate analysis using a Cox proportional hazards model showed that a low GNRI was an independent risk factor for poor OS (hazard ratio (HR) = 3.22; 95% confidence interval (CI), 1.37–8.23; p = 0.0068) and DFS (HR = 2.32; 95%CI = 1.15–4.79; p = 0.018). Although use of adjuvant therapy has no impact on prognosis (OS: p = 0.26, DFS: p = 0.29), low GNRI showed shorter OS and DFS in patients with pathological lymph node metastasis [ypN(+)] (OS: p = 0.033, DFS: p = 0.032, log-rank test).

Conclusions

GNRI is a useful marker for LARC patients diagnosed with clinical lymph node metastasis and treated by preoperative CRT followed by curative surgery. GNRI is a useful tool to identify high risk of recurrence for improving the survival in LARC patients.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12957-021-02139-z.

Prognostic Significance of Preoperative Fibrinogen-to-Prealbumin Ratio in Patients with Stage I-III Colorectal Cancer Undergoing Surgical Resection: A Retrospective Cohort Study

Background

The objective of this study was to explore the role of preoperative fibrinogen-to-prealbumin ratio (FPR) in evaluating the prognosis of patients with stage I–III colorectal cancer (CRC).

Methods

This retrospective study enrolled 584 stage I–III CRC patients undergoing surgical resection. Logistic regression analysis was used to explore the correlation between FPR and postoperative complications. The Kaplan-Meier curve and Cox proportional hazards model were used to identify the prognostic factors. The nomograms were constructed based on the prognostic factors. The concordance index and calibration curve were used to determine the accuracy of the nomograms. Time-dependent receiver operating characteristic was used to compare the predictive prognostic efficacy of nomograms and TNM stage.

Results

FPR was determined to be an independent factor affecting postoperative complications. Patients with a low-FPR had a significantly better prognosis than those with a high-FPR (disease-free survival, p = 0.028; overall survival, p = 0.027), especially patients with stage I CRC (disease-free survival, p = 0.015; overall survival, p = 0.017). The Cox proportional hazards model identified FPR as an independent poor prognostic factor of disease-free survival (hazard ratio (HR) = 1.459, 95% confidence interval (CI) = 1.074–1.954, p = 0.011) and overall survival (HR = 1.405, 95% CI = 1.034–1.909, p = 0.030). The prognostic nomograms had good accuracy and were superior to the traditional TNM stage.

Conclusions

FPR is a potential indicator for predicting short- and long-term prognosis of stage I–III CRC patients undergoing surgical resection.

Prognostic Value of Pretreatment Albumin-to-Alkaline Phosphatase Ratio in Cancer: A Meta-Analysis

Background

Recently, it has been reported that the pretreatment albumin-to-alkaline phosphatase ratio (AAPR) is related to the prognosis of various cancers. The purpose of this systematic review and meta-analysis was to explore the prognostic value of pretreatment AAPR on clinical outcomes in cancer.

Methods

PubMed, Web of Science, Cochrane Library, and Embase were systematically searched for relevant research before May 2020. Stata 12 was utilized to extract the data and the characteristics of each study and to generate a pooled hazard ratio (HR) and 95% confidence interval (CI) to assess the relationship between pretreatment AAPR and survival outcomes.

Results

We included 16 eligible published articles involving 5,716 patients. We found that low pretreatment AAPR was associated with poor overall survival (HR = 2.12, 95% CI: 1.80–2.50, P < 0.001), cancer-specific survival (HR = 2.89, 95% CI: 1.46–5.71, P < 0.001), disease-free survival (HR = 1.91, 95% CI: 1.43–2.53, P < 0.001), and progression-free survival (HR = 1.93, 95% CI: 1.49–2.52, P < 0.001). However, there was no statistical relationship between pretreatment AAPR and recurrence-free survival, distant-metastasis-free survival, or locoregional relapse-free survival. The correlation between pretreatment AAPR and overall survival did not change significantly when possible confounders were stratified. The sensitivity analysis showed that this study was reliable.

Conclusions

Low pretreatment AAPR was significantly associated with adverse clinical outcomes of cancer. Pretreatment AAPR could be a valuable noninvasive prognostic indicator for cancer.

The value of preoperative controlling nutritional status score in evaluating short-term and long-term outcomes of patients with colorectal cancer following surgical resection

Background: This study aimed to explore the value of controlling nutritional status (CONUT) score in assessing short-term and long-term outcomes of colorectal cancer (CRC) patients, and construct CONUT-based nomograms to predict risk of postoperative comorbidities and survival.

Methods: We retrospectively enrolled 512 patients from 2012 to 2014. Patients were categorized into low-CONUT and high-CONUT groups. Logistic regression analysis was used to determine characteristics influencing postoperative comorbidities. Kaplan-Meier survival curve and Cox proportional hazards analysis were used to determine characteristics affecting prognosis. The receiver operating characteristic was used to compare ability of the CONUT score with other immune-nutritional indicators to predict prognosis.

Results: Logistic regression analysis suggested that high CONUT score was an independent risk factor affecting postoperative comorbidities (odds ratio, 1.792; 95% confidence interval [CI], 1.113-2.886; P = 0.016). Patients with low-CONUT score had longer disease-free survival (DFS) (P < 0.001) and overall survival (OS) (P < 0.001) compared to those with high-CONUT score, especially at the early stage. CONUT score was an independent factor affecting both DFS (hazard ratio [HR], 1.820; 95% CI, 1.204-2.752; P = 0.005) and OS (HR, 1.815; 95% CI, 1.180-2.792; P = 0.007). The area under the curve of CONUT score was higher than for other immune-nutritional indicators. The CONUT-based nomograms had good predictive capability.

Conclusions: CONUT score is a strong independent predictor of postoperative comorbidities and long-term outcomes in CRC patients, and might be a better prognostic factor than other immune-nutritional indicators. The CONUT-based nomograms are conducive to the individualized formulation of follow-up strategies and treatment plans.

Geriatric nutritional risk index as a predictor of complications and long-term outcomes in patients with gastrointestinal malignancy: a systematic review and meta-analysis

BACKGROUND

The effect of the geriatric nutritional risk index (GNRI) on the prognosis of patients with gastrointestinal malignancy remains unclear. The aim of our study was to systematically explore the value of the GNRI in evaluating postoperative complications and long-term outcomes in gastrointestinal malignancy.

METHODS

A systematic literature search was conducted using electronic databases to report the impact of the GNRI on postoperative complications and long-term outcomes of patients with gastrointestinal malignancies as of August 2020. The hazard ratio (HR) with a 95% confidence interval (CI) was used to evaluate the impact of the GNRI on long-term outcomes. The risk ratio (RR) with 95% CI was used to assess the impact of the GNRI on postoperative complications.

RESULT

A total of nine studies with 2,153 patients were enrolled in our meta-analysis. The results suggested that a low GNRI was correlated with poor overall survival of patients with gastrointestinal malignancy (HR = 1.94, 95% CI 1.65-2.28, p < 0.001). Patients with a low GNRI had a higher risk of complications than patients with a high GNRI (OR = 2.19, 95% CI 1.57-3.05, p < 0.001). In addition, patients with a low GNRI had shorter relapse-free survival (HR = 2.45, 95% CI 1.50-4.00, p < 0.001) and disease-free survival (HR = 1.84, 95% CI 1.23-2.76, p = 0.003) than those with a high GNRI. However, the GNRI was not an independent factor affecting cancer-specific survival (HR = 1.60, 95% CI 0.91-2.82, p = 0.101).

CONCLUSION

Based on existing evidence, the GNRI was a valuable predictor of complications and long-term outcomes in patients with gastrointestinal malignancy.

Associations of Postoperative Complications Assessed by Clavien-Dindo Classification and Comprehensive Complication Index with Long-Term Overall Survival in Elderly Patients after Radical CRC Resection

Background

Advancing age is associated with high incidence of colorectal cancer (CRC) and high rates of postoperative complications (POCs). However, the impact of of POC severity — evaluated by Clavien–Dindo classification (CDC) or comprehensive complication index (CCI) — on long-term overall survival (OS) in elderly patients after radical CRC resection is not clear.

Methods

Elderly patients aged 65 years or more with CRC undergoing radical resection were retrospectively recruited. POC details were collected and evaluated using CDC grades and the CCI, blinded to patients’ other information. Risk factors for CDC grade ≥II POCs were analyzed by multivariate logistic regression. Effects of CDC grade II–IV POCs on long-term OS were analyzed via propensity-score matching (PSM) analysis followed by Kaplan–Meier curve plotting and multivariate Cox proportional-hazard regression adjusted for all potential confounders. The prognostic value of the CCI was also explored and compared with CDC grades.

Results

A total of 614 elderly patients were identified, of which 20, 106, 25, 11, and 13 cases experienced CDC grade I, II, III, IV, and V POCs, respectively. Higher age, female sex, coronary heart diseases, family history of tumors, preoperative anemia, high amount of bleeding during operation, and high positive dissected lymph–node ratio were found to be risk factors for CDC grade II–V POCs. After PSM analyses, CDC grade II–IV POCs were identified to be associated with poor long-term OS, which was also verified in the entire cohort. The CCI was also found to be significantly associated with decreased long-term OS and showed prognostic values similar to CDC grades.

Conclusion

Both CDC grades and the CCI can be used to evaluate POCs and are associated with long-term OS in elderly patients undergoing radical CRC resection.

The prognostic value of geriatric nutritional risk index in elderly patients with severe community-acquired pneumonia: A retrospective study

The geriatric nutritional risk index (GNRI) is associated with the prognosis of many diseases. However, the association between the GNRI and the prognosis of patients aged ≥65 years with severe community-acquired pneumonia (SCAP) has not been studied. We aimed to evaluate the prognostic value of GNRI in elderly SCAP patients.This study retrospectively analyzed the clinical data of 346 patients aged ≥65 years with SCAP from December 2013 to September 2019. Patients were divided into 4 groups by the GNRI. The chi-square test or student's t test was used to compare the differences between the groups. Logistic regression analysis was used to evaluate the factors that affect prognosis. The receiver operating characteristic curve was used to compare the prognostic performance of the GNRI with other indicators. A GNRI-based nomogram was established based on the result of the multivariate analysis.Two hundred nine (60.4%) patients had a poor prognosis. GNRI scores were significantly lower in the poor prognosis group than in the group with a good prognosis. In the multivariate analysis, gender, mean arterial pressure, neutrophil counts, and the GNRI were independently correlated with the prognosis of elderly patients. The GNRI was a significantly better predictor for poor prognosis than other indicators. The GNRI-based nomogram had excellent prediction capabilities.GNRI is a simple and effective prognostic indicator for elderly patients with SCAP, and a GNRI-based nomogram can aid in developing individualized treatment plans for elderly patients with SCAP.

The prognostic value of combined tumor markers and systemic immune-inflammation index in colorectal cancer patients

PURPOSE

This study evaluated the significance of combining tumor markers (TM) and systemic immune-inflammation index (SII) for postoperative complications and long-term outcomes in colorectal cancer (CRC) patients.

METHODS

CRC patients (662) who underwent surgery between 2012 and 2014 were retrospectively enrolled into our study. Factors affecting postoperative complications were evaluated by logistic regression analysis. Prognostic factors were assessed using Kaplan-Meier and Cox proportional hazards models. Nomograms were constructed to predict the risk of postoperative complications and survival. A consistency index and a calibration curve were used to evaluate the predictive accuracy of nomograms.

RESULTS

TM-SII score was established by combining TM and SII. Logistic regression analyses showed that TM-SII score was an important predictor of postoperative complications in CRC patients. Kaplan-Meier analyses showed that TM-SII score was favorable for prognostic risk stratification. In addition, multivariate analyses indicated that TM-SII score was an independent prognostic indicator for disease-free survival and overall survival. TM-SII based nomograms had a moderate prediction accuracy.

CONCLUSION

TM-SII score is a good prognostic indicator for CRC patients. It may be used as a useful risk stratification tool for advanced CRC patients. TM-SII-based nomograms could be used to identify CRC patients with poor outcomes.