Value of Preoperative Hematological Parameters in the Prognosis of Gastric Cancer Patients Undergoing a Total Gastrectomy

Developing a predictive model for delayed healing of esophagojejunal anastomotic fistula following total gastrectomy based on imaging and clinical inflammatory-nutritional status

BACKGROUND

Esophagojejunal anastomotic fistula (EJF) following radical total gastrectomy is a severe perioperative complication in patients with gastric cancer, particularly as delayed fistula healing increases hospitalization costs and leads to poor prognosis. Numerous factors influence the occurrence and progression of EJF, with inflammation and nutritional status being significant contributors to perioperative complications. Therefore, this study aims to investigate the prediction of delayed EJF healing based on postoperative clinical and imaging-related inflammation-nutrition status.

METHODS

We retrospectively collected data on 315 cases of EJF following radical total gastrectomy for gastric cancer from two centers between 2015 and 2023 (training group: center one with 194 cases, validation group: center two with 121 cases). EJF was diagnosed based on clinical presentation, gastrointestinal imaging, or endoscopic findings. The healing time for EJF was defined as the period from diagnosis to the removal of the abdominal drainage tube, and patients were categorized into early healing and delayed healing groups based on the median healing time. Postoperative abdominal computed tomography(CT) scans and clinical characteristics at the time of EJF diagnosis were collected. Univariate and multivariable logistic regression analyses were performed on the training group data to construct a predictive model (nomogram). The model's performance in both the training and validation groups was evaluated using the area under the receiver operating characteristic (ROC) curve (AUC), calibration curves, and decision curve analysis (DCA).

RESULT

The mean healing time for EJF was 16 ± 7 days (median time: 12 days, range: 4-43 days). Postoperative systemic immune-inflammation index (SII) > 521 × 10ˆ9/L, controlling nutritional status score (CONUT) > 4, nutritional support method, visceral fat index (VFI) < 74.42 cm2/m2, and skeletal muscle index (SMI) < 41.25 cm2/m2 were associated with delayed EJF healing times. A comprehensive model was developed, in the validation group, the model demonstrated an AUC of 0.838 (95 % confidence interval (95 % CI): 0.763-0.912). The DCA and calibration curves indicated a strong predictive consistency and clinical utility of the model.

Evaluation of three lymph node staging systems for prognostic prediction in gastric cancer: A systematic review and meta-analysis

BACKGROUND

Lymph node status is a critical prognostic factor in gastric cancer (GC), but stage migration may occur in pathological lymph nodes (pN) staging. To address this, alternative staging systems such as the positive lymph node ratio (LNR) and log odds of positive lymph nodes (LODDS) were introduced.

AIM

To assess the prognostic accuracy and stratification efficacy of three nodal staging systems in GC.

METHODS

A systematic review identified 12 studies, from which hazard ratios (HRs) for overall survival (OS) were summarized. Sensitivity analyses, subgroup analyses, publication bias assessments, and quality evaluations were conducted. To enhance comparability, data from studies with identical cutoff values for pN, LNR, and LODDS were pooled. Homogeneous stratification was then applied to generate Kaplan-Meier (KM) survival curves, assessing the stratification efficacy of three staging systems.

RESULTS

The HRs and 95% confidence intervals for pN, LNR, and LODDS were 2.16 (1.72-2.73), 2.05 (1.65-2.55), and 3.15 (2.15-4.37), respectively, confirming all three as independent prognostic risk factors for OS. Comparative analysis of HRs demonstrated that LODDS had superior prognostic predictive power over LNR and pN. KM curves for pN (N0, N1, N2, N3a, N3b), LNR (0.1/0.2/0.5), and LODDS (-1.5/-1.0/-0.5/0) revealed significant differences (P < 0.001) among all prognostic stratifications. Mean differences and standard deviations in 60-month relative survival were 27.93% ± 0.29%, 41.70% ± 0.30%, and 26.60% ± 0.28% for pN, LNR, and LODDS, respectively.

CONCLUSION

All three staging systems are independent prognostic factors for OS. LODDS demonstrated the highest specificity, making it especially useful for predicting outcomes, while pN was the most effective in homogeneous stratification, offering better patient differentiation. These findings highlight the complementary roles of LODDS and pN in enhancing prognostic accuracy and stratification.

Predicting the overall survival and progression-free survival of nasopharyngeal carcinoma patients based on hemoglobin, albumin, and globulin ratio and classical clinicopathological parameters

BACKGROUND

Serum biomarkers have a significant impact on the prediction of treatment outcomes in patients diagnosed with nasopharyngeal carcinoma (NPC). The primary aim of this study was to develop and validate a nomogram that incorporates hemoglobin, albumin, and globulin ratio (HAGR) and clinical data to accurately forecast treatment outcomes in patients with NPC.

METHODS

A total of 796 patients diagnosed with NPC were included in the study.

RESULTS

The results of the multivariate Cox analysis revealed that TNM stage and HAGR were found to be significant independent prognostic factors for OS and PFS. Furthermore, the utilization of the nomogram demonstrated a significant improvement in the evaluation of OS, PFS compared with the eighth TNM staging system. Additionally, the implementation of Kaplan-Meier curves and decision curve analysis curves further confirmed the discriminability and clinical effectiveness of the nomogram.

CONCLUSIONS

The HAGR, an innovative prognostic factor grounded in the realm of immunonutrition, has emerged as a promising prognostic marker for both OS and PFS in individuals afflicted with NPC.

Prognostic Significance of Albumin-Globulin Ratio in Urachal Carcinoma

INTRODUCTION

Although albumin-globulin ratio (AGR) has been used in the prognostic assessment of multiple solid malignancies, so far no research has confirmed the prognostic significance of AGR as a biomarker for urachal carcinoma. We analyzed the relationship between AGR and prognosis in urachal carcinoma, aiming to identify a promising prognostic biomarker for urachal carcinoma.

METHODS

We reviewed the clinical data of 25 patients diagnosed with urachal carcinoma in the Xiangya Hospital, Central South University, from January 2008 to October 2021. The best cut-off value of preoperative AGR was determined according to the receiver operator characteristic curve. The Kaplan-Meier curve was used to analyze the effect of preoperative AGR on the overall survival (OS) and relapse-free survival (RFS) of patients. Cox proportional hazards model was used to analyze prognostic factors including preoperative AGR.

RESULTS

The best cut-off value of preoperative AGR in urachal carcinoma patients is 1.45. Low preoperative AGR is significantly associated with worse OS and RFS. Univariate analysis and multivariate analysis indicated that low preoperative AGR is an independent and reliable factor to predict poor prognosis, OS, and RFS in urachal carcinoma patients.

CONCLUSION

Urachal carcinoma patients with low preoperative AGR have worse prognosis, and preoperative AGR is a valuable prognostic indicator for urachal carcinoma research.

Preoperative Risk Factors and Prognostic Impact of Postoperative Complications Associated with Total Gastrectomy

INTRODUCTION

We evaluated the risk factors for patients with gastric cancer (GC) undergoing total gastrectomy (TG) that predict postoperative complications, including anastomotic leakage, postoperative pneumonia, and heart disease.

METHODS

We collected 106 patients who received TG for GC between May 2009 and May 2017 at Gunma University Graduate School of Medicine, including clinicopathologic, surgical, postoperative complication, laboratory test, and physiologic test data.

RESULTS

Of 106 patients, 92 (86.8%) had no complications, and 14 (13.2%) had complications. Univariate analyses revealed that a high American Society of Anaesthesiologists physical status (ASA-PS) and neutrophil-lymphocyte ratio (NLR) of ≥3.5 significantly correlated with postoperative complications. Multivariate analyses showed that high ASA-PS was an independent prognostic factor of postoperative complications. The cancer recurrence rate was 34.8% in the noncomplication group and 71.4% in the complication group.

CONCLUSION

Patients with postoperative complications are prone to recurrence and poor prognosis. For patients with high-risk GC with poor ASA-PS and high NLR, more thorough perioperative management is essential.