The ratio of hemoglobin to red cell distribution width predicts survival in patients with gastric cancer treated by neoadjuvant FLOT: a retrospective study

Evaluation of inflammatory biomarkers and the ratio of hemoglobin-red cell distribution width in patients with rheumatoid arthritis treated with tumor necrosis factor-alpha inhibitors

BACKGROUND

The aim of this study was to examine pre-treatment and post-treatment hemogram-derived inflammatory biomarkers in patients with rheumatoid arthritis (RA) who received anti-tumor necrosis factor (TNF)-α treatment.

MATERIAL AND METHODS

The data of 1182 patients with RA were screened. Among them, 207 patients who met the eligibility criteria were included in the retrospective study. Demographic parameters, disease activity, and blood cell-derived indexes were evaluated. The neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), lymphocyte-monocyte ratio (LMR), and hemoglobin-red cell distribution width (Hb/RDW) rates were evaluated before treatment and at the third month of treatment in patients with RA who received anti-TNF-α treatment.

RESULTS

According to the EULAR response criteria, 12.6% of the 207 patients responded to anti-TNF-α treatment as none, 21.3% as good, and 66.2% as moderate, respectively. Post-treatment NLR and PLR values were significantly lower than pre-treatment values (p < 0.001), whereas post-treatment LMR and Hb/RDW values were significantly higher than pre-treatment values (respectively, p = 0.001 and p = 0.012). The difference between pre-treatment and post-treatment values of LMR and Hb/RDW was significantly higher when compared to the moderate + good response groups than the none-response group (p = 0.002 and p = 0.014, respectively). However, in the receiver operating characteristic curve analysis, these parameters were not found to be significant in predicting treatment response.

CONCLUSION

Significant changes were detected in hemogram-derived inflammatory markers of the groups responding to anti-TNF-α treatment. They can be used as a guide during treatment follow-up. Yet, they do not predict treatment response. Key Points • RA may manifest with periods of remission and activation, and regular follow-up is essential. • There is a demand for readily available, reproducible, and cost-effective parameters to assess treatment response. • Hemogram-derived inflammatory markers differ in relation to anti-TNF-α treatment response in RA. • None of those markers demonstrate an acceptable predictive performance in distinguishing patients based on their response to TNF-α inhibitors.

The role of laboratory indices on treatment response and survival in breast cancer receiving neoadjuvant chemotherapy

Neoadjuvant chemotherapy (NACT) is the standard treatment for locally advanced, high-risk breast cancer. Pathological complete response (pCR) improves survival. Peripheral blood-derived indices reflecting systemic inflammation and nutritional status have long been used as predictive and prognostic markers in solid malignancies. This retrospective study investigates whether eight commonly used indices in patients receiving NACT affect pCR and survival. This study includes 624 locally advanced breast cancer patients who received NACT. The biomarker indices were calculated from peripheral blood samples taken two weeks before starting chemotherapy. The indices' optimal cut-off values were determined using ROC Curve analysis. During a median follow-up period of 42 months, recurrence was detected in 146 patients, and 75 patients died. pCR was observed in 166 patients (26.6%). In univariate analysis, NLR, PLR, SII, PNI, HALP, and HRR were statistically significantly associated (p = 0.00; p = 0.03; p = 0.03; p = 0.02; p = 0.00; p = 0.02 respectively), but in multivariate analysis, only NLR was significantly predictive for pCR(p = 0.04). In multivariate analysis, the HGB/RDW score significantly predicted DFS(p = 0.04). The PNI score was identified as a marker predicting survival for both OS and PFS (p = 0.01, p = 0.01, respectively). In conclusion, peripheral blood-derived indices have prognostic and predictive values on pCR and survival. However, further studies are needed to validate our findings.

Systemic immune inflammation index and gastric cancer prognosis: A systematic review and meta‑analysis

The present study aimed to pool the available data on the associations between the systemic immune inflammation index (SII) and overall survival (OS) or recurrence-free survival (RFS) in patients with gastric cancer (GC). A systematic search was conducted in the PubMed, EMBASE and Scopus databases for observational studies, and a random effects model was used to conduct the statistical analysis. Pooled effect sizes were reported as hazard ratios (HRs) with corresponding 95% confidence intervals (CI). Data from 30 studies (24 conducted in China) with follow-ups ranging between 15.5 and 65.6 months were analyzed. Patients with GC and high SII levels had poor OS (HR, 1.53; 95% CI, 1.34-1.75) and recurrence free survival (HR, 1.41; 95% CI, 1.17-1.70). These increased risks were present irrespective of the treatment strategy (surgical or non-surgical management), the sample size (<500 and ≥500) and the cut-off used to define high and low SII (<600 and ≥600 x109 cells/l). The results of this meta-analysis suggest that high pretreatment SII levels were associated with poor OS and RFS in patients with GC.

Assessing the Predictive Power of the Hemoglobin/Red Cell Distribution Width Ratio in Cancer: A Systematic Review and Future Directions

Background and Objectives: The hemoglobin (Hb)/red cell distribution width (RDW) ratio has emerged as an accessible, repeatable, and inexpensive prognostic factor that may predict survival in cancer patients. The focus of this systematic review is to investigate the prognostic role of the Hb/RDW ratio in cancer and the implications for clinical practice. Materials and Methods: A literature search of PubMed, Scopus, and Web of Science databases was performed by an independent author between 18 March and 30 March 2023 to collect relevant literature that assessed the prognostic value of the Hb/RDW ratio in cancer. Overall survival (OS), progression-free survival (PFS), and the association of these with the Hb/RDW ratio were considered to be the main endpoints. Results: Thirteen retrospective studies, including 3818 cancer patients, were identified and involved in this review. It was observed that, when patients with a high vs. low Hb/RDW ratio were compared, those with a lower Hb/RDW ratio had significantly poorer outcomes (p < 0.05). In lung cancer patients, a one-unit increase in the Hb/RDW ratio reduces mortality by 1.6 times, whilst in esophageal squamous-cell carcinoma patients, a lower Hb/RDW ratio results in a 1.416-times greater risk of mortality. Conclusions: A low Hb/RDW ratio was associated with poor OS and disease progression in patients with cancer. This blood parameter should be considered a standard biomarker in clinical practice for predicting OS and PFS in cancer patients. Future searches will be necessary to determine and standardize the Hb/RDW cut-off value and to assess whether the Hb/RDW ratio is optimal as an independent prognostic factor or if it requires incorporation into risk assessment models for predicting outcomes in cancer patients.

A Novel Hematological Inflammation-Nutrition Score (HINS) and Its Related Nomogram Model to Predict Survival Outcome in Advanced Gastric Cancer Patients Receiving First-Line Palliative Chemotherapy

Purpose

This study aims to construct a novel hematological inflammation-nutrition score (HINS) and investigate its prognostic value in patients with advanced gastric cancer (AGC). We investigated the risk stratification performance of HINS and developed a HINS-based nomogram model to predict overall survival by combining traditional predictors.

Patients and Methods

We conducted a retrospective study on 812 AGC patients who received first-line platinum- or fluoropyrimidine-containing chemotherapy at The First Affiliated Hospital of Zhengzhou University Hospital between 2014 and 2019. Patients were randomly divided into a training cohort (N=609) and a validation cohort (N=203). HINS (0-2) was constructed based on a pre-chemotherapy systemic immune-inflammation index (SII) and albumin (ALB). Prognostic factors were screened by univariate and multivariate COX proportional regression models. Significant factors were used to construct a nomogram model. Internal validation was performed by calibration curves, time-dependent receiver operating characteristics (ROC) curves, and decision curve analysis (DCA), evaluating its prediction consistency, discrimination ability, and clinical net benefit.

Results

HINS was constructed based on SII and ALB. HINS showed a better stratification ability than JCOG prognostic index, with significant differences between groups. Multivariate analysis showed that ECOG ≥1 (HR: 1.379; P=0.005), Stage IV (HR: 1.581; P <0.001), diffuse-type histology (HR: 1.586; P <0.001), number of metastases ≥2 (HR: 1.274; P=0.038), without prior gastrectomy (HR: 1.830; P <0.001), ALP ≥ULN (HR: 1.335; P=0.034), HINS (P <0.001) were independent factors of OS. We successfully established a HINS-based nomogram model that showed a strong discriminative ability, accuracy, and clinical utility in training and validation cohorts.

Conclusion

HINS shows a superior risk stratification ability, which might be a potential prognostic biomarker for AGC patients receiving palliative first-line palliative chemotherapy. The HINS-based nomogram model is a convenient and efficient tool for managing prognosis and follow-up treatments.

A New Prognostic Parameter Associated With Recurrence in Patients With Nasopharyngeal Cancer Treated With Chemoradiotherapy: The Ratio of the Hemoglobin-to-Red Cell Distribution Width

INTRODUCTION

This study aims to investigate the prognostic significance of the pre-treatment hemoglobin-red blood cell distribution width (RDW) ratio (HRR) in terms of overall survival (OS) and disease-free survival (DFS) in patients with locally advanced nasopharyngeal cancer (LANC) treated with chemoradiotherapy.

METHODS

Patients with LANC who attended the oncology clinic between October 2010 and June 2020 were retrospectively screened. HRR was calculated as hemoglobin (g/dL) divided by the RDW (%). Patients were assigned to either the low HRR group or the high HRR group.

RESULTS

A total of 102 patients were included in the study. The cut-off value for HRR was taken as 0.97. Between the low and high HRR groups, mean age, Eastern Cooperative Oncology Group (ECOG) performance score, gamma-glutamyl transferase (GGT), albumin and lactate dehydrogenase (LDH) levels, weight loss at diagnosis, and recurrence and metastasis rate were significantly different. In the low HRR group, OS and DFS were 44.4 (95% CI: 4.9-83.8) and 15.7 months (95% CI: 0.1-36.2), respectively, but could not be reached in the high HRR group (p<0.001). In the multivariate analysis, low HRR was shown to be an independent factor in terms of both OS (p=0.004, hazard ratio (HR)=3.07, 95% CI: 1.444-6.529) and DFS (p<0.001, HR=3.94, 95% CI: 1.883-8.244).

CONCLUSION

This is the first study showing that HRR is an independent prognostic marker for OS and DFS in patients with LANC treated with chemoradiotherapy. Thus, HRR can be used as an easily applicable, inexpensive marker in clinical practice in this patient group.

Relationship between the Hemoglobin-to-Red Cell Distribution Width Ratio and All-Cause Mortality in Septic Patients with Atrial Fibrillation: Based on Propensity Score Matching Method

(1) Objective: To reveal the correlation between the hemoglobin-to-red cell distribution width ratio (HRR) and all-cause mortality (ACM) among the septic patients with atrial fibrillation. (2) Methods: Specific clinical information was collected from the Medical Information Mart for Intensive IV (MIMIC-IV) database. The optimal cut-off value of HRR was calculated through ROC curve analysis conducted by using the maximum Youden index for the prediction of survival status. In addition, univariable and multivariable Cox regressive analyses were carried out to assess the prognostic significance of HRR and the Kaplan-Meier (K-M) analysis was conducted to draw the survival curves. Then, the 1:1 propensity score matching (PSM) method was adopted to improve the reliability of research result while balancing the unintended influence of underlying confounders. (3) Results: There were 9228 patients participating in this retrospective cohort study. The optimal cut-off value of the HRR was determined as 5.877 for in-hospital mortality. The PSM was performed to identify 2931 pairs of score-matched patients, with balanced differences exhibited by nearly all variables. According to the K-M analysis, those patients with a lower HRR than 5.877 showed a significantly higher level of in-hospital mortality, 28-day mortality, and 90-day mortality, compared to the patients with HRR ≥ 5.877 (p < 0.001). After the adjustment of possible confounders, those patients whose HRR was below 5.877 had a significantly higher level of in-hospital mortality than the patients with HRR ≥ 5.877, as revealed by the multivariable Cox regression analysis (HR = 1.142, 95%CI: 1.210−1.648, p < 0.001). Similarly, the ACM remained substantially higher in those patients with a lower HRR than in the patients with higher HRR after PSM. (4) Conclusion: A lower HRR (<5.877) was evidently associated with an increased risk of ACM, which made it applicable as a prognostic predictor of clinical outcomes for those septic patients with atrial fibrillation.

Prognostic value of hemoglobin-to-red cell distribution width ratio in cancer: a systematic review and meta-analysis

Background: The hemoglobin-to-red cell distribution width ratio (HRR) has emerged as a novel integrative biomarker predictive of overall and disease-free survival in cancer patients. This study aimed to investigate the prognostic significance of HRR in the cancer population. Methods: A literature search was performed in PubMed/MEDLINE from inception to 1 July 2021, to collect studies assessing the prognostic value of HRR in cancer patients. The primary and secondary end points were all-cause mortality and occurrence of disease progression or relapse, respectively. A meta-analytic approach was employed to estimate the pooled hazard ratio with 95% CI by fitting random-effects models. Results: A total of 11 retrospective cohort studies representing 2985 cancer patients were included. Compared with patients with high HRR, patients with low HRR had a twofold risk of all-cause mortality (hazard ratio: 2.29; 95% CI: 1.76-2.98; p < 0.0001). There was substantial heterogeneity in the association of HRR with mortality across the studies (I²: 66.8%; 95% CI: 35.3-82.9%; p = 0.0014). Similarly, low HRR was associated with a twofold risk of disease progression or relapse (hazard ratio: 2.19; 95% CI: 1.74-2.76; p < 0.0001). No significant heterogeneity was observed (I²: 16.8%; 95% CI: 0.0-60.7%; p = 0.30). Conclusion: Low HRR was associated with mortality and disease progression or relapse in patients with cancer. Further studies are required to standardize the HRR cutoff value and investigate whether HRR can be incorporated into risk assessment models for predicting adverse prognosis in cancer patients.

Low Hemoglobin-to-Red Cell Distribution Width Ratio Is Associated with Mortality in Patients with HBV-Related Decompensated Cirrhosis

Background

The prognostic role of hemoglobin-to-red blood cell distribution width ratio (HRR) in HBV-related decompensated cirrhosis (HBV-DeCi) has not been established. The present study is aimed at determining the potential of HRR as a predictive factor for the prognosis of HBV-DeCi patients.

Methods

The study included 177 HBV-DeCi patients. The clinical outcome was death at 30 days. Multivariate regression analysis and receiver operating characteristic curve analysis were applied to assess the predictive value of HRR for poor outcomes.

Results

A total of 26 patients (14.7%) had died by 30 days. Patients with unfavorable outcomes had lower HRR than patients with favorable outcomes. Multivariate analysis revealed that HRR and Model for End-Stage Liver Disease (MELD) score were independently associated with poor outcomes. Combination of HRR and MELD score may improve prognostic accuracy in HBV-DeCi.

Conclusions

The present findings indicate that low HRR may be a promising predictor for mortality in HBV-DeCi patients.

Preoperative hemoglobin-to-red cell distribution width ratio as a prognostic factor in pulmonary large cell neuroendocrine carcinoma: a retrospective cohort study

Background

The hemoglobin (Hgb)/red cell distribution width (RDW) ratio (HRR) is a simple prognostic marker for small cell lung cancer (SCLC) and non-small cell lung cancer (NSCLC), but no data are available for pulmonary large cell neuroendocrine carcinoma (PLCNEC). This study aimed to assess the potential prognostic role of preoperative HRR in PLCNEC.

Methods

This single-center retrospective study included patients with PLCNEC who underwent surgery at Shanghai Pulmonary Hospital from January 2012 to August 2016. The follow-up was censored in August 2020. The participants were grouped as low/high HRR according to their optimal value calculated using a receiver operating characteristic (ROC) curve. Univariable and multivariable Cox analysis were performed to identify the risk factors for overall survival (OS).

Results

A total of 80 patients with PLCNEC were included. The optimal cutoff values were 0.969 for HRR. Compared with the high HRR group, the low HRR group had a lower mean Hgb (12.1 vs. 14.1 g/dL, P<0.001), lower mean albumin-globulin ratio (AGR) (1.4 vs. 1.6, P=0.017), and higher median RDW (14.5% vs. 12.9%, P<0.001). The median OS was 30.0 months [95% confidence interval (CI): 13.4 to 46.5 months]. Participants in the low HRR group exhibited a poorer OS than those with high HRR (20.3 months, 95% CI: 14.5 to 26.1 months vs. not reached, P<0.001). The multivariable analysis showed that low HRR was significantly associated with poor OS [hazard ratio (HR) =3.16, 95% CI: 1.69 to 5.93, P<0.001].

Conclusions

Low HRR is associated with poor OS in patients with PLCNEC and can be used as an inexpensive prognostic factor in patients undergoing PLCNEC resection.

The Hemoglobin-to-Red Cell Distribution Width Ratio to Predict All-Cause Mortality in Patients with Sepsis-Associated Encephalopathy in the MIMIC-IV Database

OBJECTIVE

The hemoglobin-to-red cell distribution width ratio (HRR) is associated with the prognosis of sepsis-associated encephalopathy (SAE). This study aimed to determine the relationship between HRR and SAE and to clarify the possible mechanism of HRR as a prognostic factor for SAE.

METHODS

A multivariate Cox proportional-hazards regression model was used to assess the correlation between HRR and all-cause mortality. Piecewise linear regression and smooth-curve Cox proportional-hazards regression models were used to observe whether there was a nonlinear relationship between HRR and all-cause mortality in SAE.

RESULTS

This study included 8853 patients with SAE. A nonlinear relationship between HRR and SAE was observed through a two-segment regression model. The left inflection point for the HRR threshold was calculated to be 15.54, which was negatively correlated with all-cause mortality (HR = 0.83, 95% CI = 0.76-0.91, p < 0.001). Subgroup analyses revealed significant interactions between white blood cell count, glucose, and patients who received dialysis and HRR. The inverse correlation between HRR and SAE was more pronounced in patients who did not receive vasopressin (HR = 0.91, 95% CI = 0.87-0.96, p < 0.001) than in those who did receive vasopressin (HR = 0.94, 95% CI = 0.88-1.02, p=0.152) and was significantly more pronounced in patients without myocardial infarction (HR = 0.91, 95% CI = 0.88-0.96, p < 0.001) than in those with myocardial infarction (HR = 0.94, 95% CI = 0.87-1.02, p < 0.114).

CONCLUSION

This large retrospective study found a nonlinear relationship between all-cause mortality and HRR in patients with SAE in intensive care units, with low HRR being inversely associated with increased all-cause mortality in patients with SAE.

Prognostic significance of hemoglobin-to-red cell distribution width ratio in patients with metastatic renal cancer

The aim of the current research was to investigate the prognostic significance of pretreatment hemoglobin-to-red cell distribution width ratio (HRR) in patients with renal cell carcinoma (RCC). The neutrophil-to-lymphocyte ratio, systemic immune-inflammation index, lymphocyte-to-monocyte ratio (LMR) and HRR were analyzed retrospectively to assess their prognostic value using Kaplan-Meier curves and Cox regression analysis in 198 patients with RCC. High HRR (0.72) and high LMR (2.43) were found to be associated with longer progression-free survival and overall survival. A multivariate analysis identified International Metastatic Renal Cell Carcinoma Database Consortium prognostic score, tumor stage, node stage, LMR and HRR as independent prognostic factors for progression-free survival, as well as International Metastatic Renal Cell Carcinoma Database Consortium score, neutrophil-to-lymphocyte ratio and HRR for overall survival. HRR is a an independent prognostic parameter predicting the progression and survival of patients with RCC.

Controlling Nutritional Status (CONUT) Score Is a Prognostic Factor for Patients with Gastric Cancer Treated by Perioperative FLOT

PURPOSE

The aim of this study was to show that the Controlling Nutritional Status (CONUT) score has predictive value in gastric cancer (GC) patients treated with perioperative fluorouracil, leucovorin, oxaliplatin, or docetaxel (FLOT).

METHODS

A total of 161 GC patients treated with perioperative FLOT in our center were included in the study. The ideal cutoff values for the CONUT score were obtained using the receiver operating characteristic (ROC) curve analysis, and the patients were divided into low (≤3) and high (> 3) CONUT groups. The associations of CONUT with clinicopathological factors and survival were evaluated retrospectively.

RESULTS

The median follow-up time was 11.2 months (2.3-32.3 months). The median overall survival (OS) for the entire population was 14.7 months (95% CI 13.5-15.9 months). Median OS was not reached in the low-CONUT group, but it was 14.2 months (95% CI 12.6-15.9) in the high-CONUT group and the difference was statistically significant (p = 0.002). The univariate Cox proportional hazards model revealed that OS was significantly associated with Eastern Cooperative Oncology Group (ECOG) status (p < 0.001), T4b stage (p 0.03), modified Glasgow Prognostic Scores (mGPS) (p 0.005), prognostic index (PI) (p 0.011), prognostic nutritional index (PNI) (p < 0.001), CONUT score (p 0.003), and mucinous histology (p 0.004). In multivariate analysis, ECOG performance status (p 0.029), PNI (p 0.001), CONUT score (p 0.040), and mucinous histology (p 0.001) were still identified as independent prognostic factors for OS.

CONCLUSIONS

Our study demonstrated the prognostic significance of the CONUT score in GC patients treated with perioperative FLOT.

Low Hemoglobin-to-Red Cell Distribution Width Ratio Is Associated with Disease Progression and Poor Prognosis in Upper Tract Urothelial Carcinoma

The importance of blood cell markers in patients with malignant tumors has been studied, but there are few studies on the prognostic value of hemoglobin-to-red cell distribution width ratio (HRR) in cancer. This is the first study to investigate the effect of preoperative HRR on patients with upper tract urothelial carcinoma (UTUC). Our retrospective cohort study included 730 UTUC patients who underwent nephroureterectomy from 2000 to 2019. Clinicopathological parameters were compared according to HRR levels, and the relationship between blood cell markers (HRR, white blood cell [WBC] count, platelet count) and prognosis was evaluated using Kaplan-Meier method and Cox regression model. We found that patients with HRR ≤ 1.05 tended to have worse renal function, higher pathological stages, and more high-grade tumors. In univariate analysis, HRR ≤ 1.05, WBC > 8.65 × 10³ cells/μL and platelets >309 × 10³ cells/μL were associated with poor progression-free survival (PFS), cancer-specific survival (CSS), and overall survival (OS). Multivariate analysis demonstrated that HRR ≤ 1.05 and WBC > 8.65 × 10³ cells/μL were independent prognostic factors for predicting deterioration of PFS, CSS, and OS. In conclusion, HRR and WBC are easy to obtain in clinical practice and are useful indicators to provide prognostic information before surgery for UTUC.

The predictive value of pretreatment haemoglobin-to-red cell distribution width ratio for overall survival of patients with advanced non-small cell lung cancer: a propensity score matching analysis

Objective

To investigate the prognostic value of pretreatment haemoglobin-to-red cell distribution width radio (HRR) in predicting overall survival (OS) in patients with advanced non-small cell lung cancer (NSCLC).

Methods

This retrospective study analysed patients with advanced NSCLC. Kaplan–Meier survival analysis and Cox proportional hazards regression analysis were conducted to evaluate the predictive value of HRR for OS. A propensity matching analysis was used to reduce the impact of other confounding factors on the results.

Results

A total of 448 patients were enrolled in the study. The median HRR was 0.984, which was used as the cut-off value. Regardless of matching or not, a lower HRR was correlated with an unfavourable risk of death. After propensity matching, univariate and multivariate analysis showed that HRR was an independent factor for the prognosis of NSCLC (hazard ratio [HR] 1.55, 95% confidence interval [CI] 1.17, 2.04; HR 1.57, 95% CI, 1.17, 2.10; respectively). Kaplan–Meier analysis showed that low HRR was associated with shortened OS. The relationship between HRR and the risk of death was consistent across all patient subgroups after stratification by subgroup analysis.

Conclusions

These findings showed that a lower pretreatment HRR could be a potentially valuable prognostic factor in patients with advanced NSCLC.

Prognostic value of systemic immune-inflammatory index in survival outcome in gastric cancer: a meta-analysis

Background

In recent years, many studies have reported that the systemic immune-inflammatory index (SII) can be used to predict the prognosis of cancer patients; however, this finding remains controversial in gastric cancer (GC). Therefore, the purpose of this study was to systematically and comprehensively probe the prognostic role of SII in GC.

Methods

Relevant publications were extracted from PubMed, EMBASE, Cochrane Library databases, and WANFANG DATA (Chinese database). The included studies had patients with pathologically confirmed GC and long-term follow-up data. The patient's outcome was death, recurrence, or status at the end of follow-up. The studies included randomized controlled tests, case-control studies, or cohort studies using a multivariate proportional hazard model adjusted for survival outcomes. Cochran's Q test and Higgins' I-squared statistic were performed to assess heterogeneity. Publication bias was assessed by visual inspection of a Begg's funnel plot.

Results

A total of 6,925 patients in 11 studies were included. The pooled hazard ratio (HR) indicated that a higher SII value was significantly associated with worse overall survival (OS) [HR: 1.53, 95% confidence interval (CI): 1.27-1.83] and worse disease-free survival (DFS) (HR: 1.57, 95% CI: 1.24-1.97) in GC patients. In the subgroup analysis, the HR was 1.72 (95% CI: 1.51-1.95) and 1.27 (95% CI: 0.96-1.67) in the group of patients aged <59 and ≥59 years, respectively.

Conclusions

The pooled HR indicates that a higher SII in younger patients with GC predicts a poor prognosis. In elderly patients with GC, the prognostic role of SII needs further research.

Prognostic Value of Pretreatment Systemic Immune-Inflammation Index in Gastric Cancer: A Meta-Analysis

Background

Previous studies have investigated the role of systemic immune-inflammation index (SII) as a prognostic factor for gastric cancer (GC) patients, although with inconsistent results. Thus, the aim of this study was to identify the prognostic value of SII in GC through meta-analysis.

Methods

We systematically searched the PubMed, Embase, and Web of Science databases for relevant studies investigating the prognostic role of SII in GC up to December 2019. The hazard ratios (HRs) and 95% confidence intervals (CIs) related to overall survival (OS) and disease-free survival (DFS) were combined. Odds ratios (ORs) and 95% CIs were pooled to assess the correlation between SII and clinicopathological features of GC.

Results

A total of eight studies, comprising 4,236 patients, were included in this meta-analysis. Pooled analysis indicated that a high pretreatment SII predicted poor OS (HR=1.40, 95% CI=1.08–1.81, p=0.010) but not poor DFS (HR=1.30, 95% CI=0.92–1.83, p=0.140) in GC. In addition, an elevated SII correlated with an advanced tumor–node–metastasis stage (OR=2.34, 95% CI=1.40–3.92, p=0.001), T3–T4 stage (OR=2.25, 95% CI=1.34–3.77, p=0.002), positive lymph node metastasis (OR=1.79, 95% CI=1.12–2.87, p=0.016), and tumor size ≥ 5 cm (OR=2.28, 95% CI=1.62–3.22, p<0.001) in patients with GC.

Conclusions

A high pretreatment SII significantly associated with poorer survival outcomes as well as several clinical characteristics in GC. We suggest that SII could be monitored to guide prognostication and provide reliable information on the risk of disease progression in GC.

The Ratio of the Hemoglobin to Red Cell Distribution Width Combined with the Ratio of Platelets to Lymphocytes Can Predict the Survival of Patients with Gastric Cancer Liver Metastasis

Background

Hemoglobin/red cell distribution width (HR) and platelet/lymphocyte (PLR) ratios are considered effective prognostic markers in various cancers. We have proposed a new prognostic parameter: HR+PLR. The aim of this study is to explore the prognostic value of the HR+PLR scoring system in patients with gastric cancer liver metastasis.

Methods

This study retrospectively analyzed the clinical data of 306 patients with gastric cancer liver metastases admitted to our hospital from 2007 to 2014. According to the size of HR value and PLR value, we will divide the patients into three groups, namely, HR+PLR: (1) 0 points: HR > 1.02 and PLR < 128; (2) 1 point: HR > 1.02 and PLR > 128 and HR < 1.02 and PLR < 128; and (3) 2 points: HR < 1.02 and PLR > 128.

Results

The HR+PLR score was statistically different from age (P = 0.049), T stage (P < 0.001), N stage (P = 0.017), number of liver metastases (P = 0.018), gastrectomy (P < 0.001), hepatectomy (P = 0.001), peritoneal metastasis (P = 0.012), prognostic nutritional index (PNI) (P = 0.028), and neutrophil/lymphocyte ratio (NLR) (P = 0.045). The HR+PLR scoring system has a higher area under the ROC curve (AUC value) than PNI, PLR, HR, and PLR (AUC = 0.798, P < 0.001). In multivariate analysis, gastrectomy (P = 0.001), hepatectomy (P < 0.001), chemotherapy (P = 0.014), and HR+PLR score (P < 0.001) were considered independent prognostic factors.

Conclusion

For patients with gastric cancer liver metastasis, the HR+PLR score is a simple, reliable, and economic prognostic marker.