The predictive value of the ratio of the product of neutrophils and hemoglobin to lymphocytes in non-muscular invasive bladder cancer patients with postoperative recurrence

Neutrophils to lymphocytes ratio as a predictor of BCG response in non-muscle invasive bladder cancer

AIM

To evaluate the role of preoperative neutrophils to lymphocytes ratio (NLR) as a predictor for the response to BCG in patients with non-muscle invasive bladder cancer (NMIBC).

MATERIALS

Nighty six patients with NMIBC were prospectively included in our study. Our study population was classified into two groups, based on pre-operative (NLR) either ⩽ or > 3. After receiving BCG, patients were followed up for 3 years to evaluate the correlation between BCG failure and (NLR).

RESULTS

Nighty two patients were evaluated at the end of our study. The NLR > 3 group of patients showed a higher age and T stage compared to the NLR ⩽ 3 group with a significant difference. BCG failure was reported to be higher in the NLR > 3 group with a failure rate of 66.7% compared to 28.3% in the other group (p-value < 0.001). Time to failure in NLR > 3 group compared to NLR ⩽ 3 group was 10.44 ± 4.3 and 15 ± 3.9 months respectively with a (p-value = 0.002). Univariate and multivariate logistic regression revealed that the most significant predictors of BCG failure were NLR > 3, Initial T stage, and age respectively.

CONCLUSION

BCG response is highly affected by the NLR, with a higher failure rate with NLR > 3.

Hemoglobin-to-RDW ratio, hemoglobin-to-monocyte ratio, and hemoglobin-to-leukocyte ratio are predictive of 14-day readmission after primary total knee arthroplasty

BACKGROUND

Total knee arthroplasty (TKA) is an effective treatment for knee osteoarthritis; however, early readmissions due to complications are common. This study assessed the ability of the hemoglobin-to-red cell distribution width ratio (HRR), hemoglobin-to-monocyte ratio (HMR), and hemoglobin-to-leukocyte ratio (HLR) to predict readmission within 14 days after TKA.

METHODS

Data from the Chang Gung Medical Research Database (CGRD) from 2014 to 2022 were retrospectively analyzed. Patients ≥ 20 years old who underwent primary TKA were eligible for inclusion. Patients with incomplete data on the indices of interest or follow-up < 14 days were excluded. Patient demographic, clinical, and comorbidity data were collected. Logistic regression was utilized to determine the associations between HRR, HMR, and HLR and 14-day readmission.

RESULTS

Data from 1,137 patients were analyzed. Multivariable analysis revealed that a higher HMR was significantly associated with lower 14-day readmission risk (adjusted OR [aOR] = 0.72, 95% confidence interval [CI]: 0.51-0.997), an HMR ≥ 2.18 (optimal cutoff value) was predictive of a significantly lower 14-day readmission risk (aOR = 0.61, 95% CI: 0.39-0.96). The composite indicator, HRR-HMR-HLR score, derived from the 3 indices assessed, was significantly associated with a lower 14-day readmission risk (score 2 vs. score 0: aOR = 0.51, 95% CI: 0.27-0.98; score 3 vs. score 0: aOR = 0.37, 95% CI: 0.17-0.82).

CONCLUSIONS

High HMR and the HRR-HMR-HLR score are independently associated with a lower 14-day readmission risk after TKA. Implementing these indices into clinical practice may enhance postoperative management.

Influence of Biomarkers on Mortality among Patients with Hepatic Metastasis of Colorectal Cancer Treated with FOLFOX/CAPOX and FOLFIRI/CAPIRI, Including Anti-EGFR and Anti-VEGF Therapies

Background and objectives: Colorectal cancer is a major global health concern, with a significant increase in morbidity and mortality rates associated with metastatic stages. This study investigates the prognostic significance of various clinical and laboratory parameters in patients with metastatic CRC. Materials and Methods: A retrospective cohort of 188 CRC patients with hepatic metastasis from the OncoHelp Association in Timisoara was analyzed from January 2016 to March 2023. Data on demographics, clinical characteristics, and biomarkers, such as lymphocyte counts, as well as various inflammation indices, were examined. Statistical analyses included univariate and multivariate logistic regression, Kaplan-Meier survival analysis, and ROC curve assessments. Results: Our findings indicate significant associations between survival outcomes and several biomarkers. Higher BMI and lymphocyte counts were linked with better survival rates, while higher values of Neutrophil-Hemoglobin-Lymphocyte (NHL) score, Neutrophil-Lymphocyte Ratio (NLR), Platelet-Lymphocyte Ratio (PLR), and Systemic Immune-Inflammation Index (SII) were predictors of poorer outcomes. Notably, the presence of hepatic metastasis at diagnosis was a critical factor, significantly reducing overall survival. Conclusions: The study has expanded the current understanding of prognostic factors in CRC, advocating for a multi-dimensional approach to prognostic evaluations. This approach should consider not only the traditional metrics such as tumor stage and histological grading but also incorporate a broader spectrum of biomarkers. Future studies should aim to validate these findings and explore the integration of these biomarkers into routine clinical practice, enhancing the precision of prognostic assessments and ultimately guiding more personalized treatment strategies for CRC patients.

Preoperative systemic immune-inflammation index as a prognostic indicator for patients with urothelial carcinoma

Background

The systemic immune-inflammation index (SII) is a cost-efficient indicator for carcinoma prognosis. However, its utility in urothelial carcinoma (UC) prognosis is disputed. This meta-analysis aims to assess SII's prognostic value in UC.

Methods

A thorough search of databases including PubMed, Web of Science, Embase, Cochrane Library, and Scopus, was conducted to find studies until January 11, 2023. Eligibility criteria were applied to select studies. Hazard ratios (HRs) and 95% confidence intervals (CIs) were extracted from selected studies and compiled in a meta-analysis to gauge SII's association with survival outcomes such as overall survival (OS), cancer-specific survival (CSS), recurrence-free survival (RFS), and progression-free survival (PFS).

Results

This analysis includes 19 studies with 12505 UC patients. It was found that high SII significantly correlated with worse OS in UC patients (HR 1.430, 95% CI 1.237-1.653, P<0.001). High SII values also linked with poorer CSS (HR 1.913, 95% CI 1.473-2.485, P<0.001), RFS (HR 1.240, 95% CI 1.097-1.403, P=0.001), and PFS (HR 1.844, 95% CI 1.488-2.284, P<0.001) compared to low SII values. Subgroup analysis revealed SII's consistent prognostic value in UC across races, carcinoma types, sample sizes, and SII cut-off values, suggesting its potential as a prognostic indicator in UC patients.

Conclusion

Current evidence suggests SII as a promising, cost-efficient predictor in UC patients. This meta-analysis indicates SII's potential as a valuable prognostic tool in UC patients.

Systematic review registration

https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=307643, identifier CRD42022307643.

High systemic immune-inflammation index predicts poor prognosis and response to intravesical BCG treatment in patients with urothelial carcinoma: a systematic review and meta-analysis

Background

The systemic immune-inflammation index (SII) has emerged as a promising marker predicting the prognosis of some cancers, while its role in urothelial carcinoma (UC) remains uncertain, especially in upper urinary tract urothelial carcinoma (UTUC). This meta-analysis aimed to investigate the association of SII with the prognosis of UC and the response to intravesical Bacillus Calmette-Guerin (BCG) therapy of non-muscle invasive bladder cancer (NMIBC).

Methods

A systematic search in PubMed, Embase, Web of Science, and the Cochrane Library was performed to identify relevant studies. The extracted hazard ratios (HRs) and 95% confidence intervals (CIs) were used to evaluate the association between SII and overall survival (OS), cancer-specific survival (CSS), and recurrence-free survival (RFS) of patients with UC. Additionally, we pooled odds ratios (ORs) and 95% CIs to assess the relationship between SII and BCG response in patients with NMIBC. Subgroup and sensitivity analyses were performed to explore potential sources of heterogeneity.

Results

Twenty studies comprising a total of 12,645 patients were eligible. This meta-analysis revealed that high SII levels independently increased the risk of OS (HR 1.55, 95%CI 1.25-1.92), CSS (HR 1.82, 95%CI 1.36-2.45), and RFS (HR 1.26, 95% CI 1.18-1.35) in patients with UC, including those with upper tract urothelial carcinoma. Additionally, elevated SII levels could predict a lower response to intravesical BCG treatment (OR 0.18, 95%CI 0.07-0.45) and higher disease recurrence (HR 1.61, 95%CI 1.31-1.98) in patients with NMIBC. Furthermore, elevated SII levels were positively associated with advanced age, lymphovascular invasion, hydronephrosis, and high tumor grade and stage (pT ≥ 3).

Conclusions

Elevated preoperative SII levels are associated with poor survival outcomes in patients with UC, as well as worse response to BCG treatment in patients with NMIBC. Therefore, SII can serve not only as an independent prognostic predictor of patients with UC but also as a guide for BCG therapy in NMIBC.

Systematic review registration

https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023409077, identifier CRD42023409077.

The application of gemcitabine and pirarubicin in patients with non-muscle invasive bladder cancer

OBJECTIVE

To investigate the value of gemcitabine and pirarubicin in patients with non-muscle-invasive bladder cancer (NMIBC).

METHODS

405 patients with non-muscle invasive bladder cancer admitted to our hospital from January 2012 to December 2020 who underwent transurethral bladder tumor electronic resection were studied. 177 patients were treated with gemcitabine (Gemcitabine group) and 228 patients were treated with pirarubicin (Pirarubicin group) after surgery. The efficacy and adverse effects of the two groups were observed and the patients were followed up.

RESULTS

No differences were found when comparing age, gender, smoking, bladder mass, number of masses, hypertension, diabetes, coronary artery disease, hematuria and tumor diameter between the 2 groups (P > 0.05). In the Gemcitabine group, bladder irritation signs, meatus hematuria, fever, nausea and vomiting were lower than those in the Pirarubicin group (P < 0.05). The recurrence rates were 6.21% and 12.28% at 1 year, 11.86% and 23.68% at 2 years, 15.82% and 25.88% at 3 years in the Gemcitabine and Pirarubicin groups respectively, with the Gemcitabine group having a significantly lower recurrence rate than the Pirarubicin group (P < 0.05). The tumor recurrence-free survival rate for 5 years of gemcitabine was significantly higher than that of the Pirarubicin group (P < 0.05).

CONCLUSION

Gemcitabine and pirarubicin are both effective in treating patients with non-muscle invasive bladder cancer, with gemcitabine having a lower incidence of adverse reactions, a higher safety rating, a lower recurrence rate and an improved survival outcome.

The potential of high-order features of routine blood test in predicting the prognosis of non-small cell lung cancer

BACKGROUND

Numerous studies have demonstrated that the high-order features (HOFs) of blood test data can be used to predict the prognosis of patients with different types of cancer. Although the majority of blood HOFs can be divided into inflammatory or nutritional markers, there are still numerous that have not been classified correctly, with the same feature being named differently. It is an urgent need to reclassify the blood HOFs and comprehensively assess their potential for cancer prognosis.

METHODS

Initially, a review of existing literature was conducted to identify the high-order features (HOFs) and classify them based on their calculation method. Subsequently, a cohort of patients diagnosed with non-small cell lung cancer (NSCLC) was established, and their clinical information prior to treatment was collected, including low-order features (LOFs) obtained from routine blood tests. The HOFs were then computed and their associations with clinical features were examined. Using the LOF and HOF data sets, a deep learning algorithm called DeepSurv was utilized to predict the prognostic risk values. The effectiveness of each data set's prediction was evaluated using the decision curve analysis (DCA). Finally, a prognostic model in the form of a nomogram was developed, and its accuracy was assessed using the calibration curve.

RESULTS

From 1210 documents, over 160 blood HOFs were obtained, arranged into 110, and divided into three distinct categories: 76 proportional features, 6 composition features, and 28 scoring features. Correlation analysis did not reveal a strong association between blood features and clinical features; however, the risk value predicted by the DeepSurv LOF- and HOF-models is significantly linked to the stage. Results from DCA showed that the HOF model was superior to the LOF model in terms of prediction, and that the risk value predicted by the blood data model could be employed as a complementary factor to enhance the prognosis of patients. A nomograph was created with a C-index value of 0.74, which is capable of providing a reasonably accurate prediction of 1-year and 3-year overall survival for patients.

CONCLUSIONS

This research initially explored the categorization and nomenclature of blood HOF, and proved its potential in lung cancer prognosis.

Progress in the study of biomarkers for early prediction of systemic inflammatory response syndrome after percutaneous nephrolithotomy

Urolithiasis is a common and frequent disease in urology. Percutaneous nephrolithotomy (PCNL) is preferred for the treatment of upper urinary tract stones and complicated renal stones &gt;2 cm in diameter, but it has a higher rate of postoperative complications, especially infection, compared with other minimally invasive treatments for urinary stones. Complications associated with infection after percutaneous nephrolithotomy include transient fever, systemic inflammatory response syndrome (SIRS), and sepsis, which is considered one of the most common causes of perioperative death after percutaneous nephrolithotomy. In contrast, SIRS serves as a sentinel for sepsis, so early intervention of SIRS by biomarker identification can reduce the incidence of postoperative sepsis, which in turn reduces the length of stay and hospital costs for patients. In this paper, we summarize traditional inflammatory indicators, novel inflammatory indicators, composite inflammatory indicators and other biomarkers for early identification of systemic inflammatory response syndrome after percutaneous nephrolithotomy.

Preoperative systemic immune‐inflammation index as a significant prognostic factor after TURBT in patients with non‐muscle‐invasive bladder cancer: A retrospective study based on propensity score matching analysis

OBJECTIVE

To investigate the association of the preoperative systemic immune-inflammation index (SII) with recurrence-free survival (RFS) after transurethral resection of the bladder tumor (TURBT) of non-muscle-invasive bladder cancer (NMIBC) using propensity score matching (PSM) analysis.

METHODS

The clinicopathological characteristics and follow-up data of NMIBC patients were collected retrospectively from two tertiary medical centers. A 1:1 PSM analysis was carried out using the nearest-neighbor method (caliper size: 0.02). Cox regression analysis was used to identify the risk factors associated with RFS.

RESULTS

A total of 416 NMIBC patients were included in this study. Before and after matching, patients with increased SII had worse RFS (p < 0.0001 and p = 0.027, respectively). Multivariate Cox analysis identified SII as an independent predictor of RFS before (HR [95% CI]: 1.789 [1.232, 2.599], p = 0.002) and after matching (HR [95% CI]: 1.646 [1.077, 2.515], p = 0.021). In the matched subgroup analysis, an elevated SII had a significant association with postoperative worse RFS in the T1 stage (p = 0.025), primary status (p = 0.049), high-grade (p = 0.0015), and multiple lesions (p = 0.043) subgroups.

CONCLUSION

SII could accurately stratify the prognosis of NMIBC patients before and after PSM analysis. An elevated SII was significantly associated with worse RFS in NMIBC patients.

Development and external validation of a novel nomogram model for predicting postoperative recurrence-free survival in non-muscle-invasive bladder cancer

Background

Transurethral resection of the bladder tumor with or without adjuvant intravesical instillation (IVI) has been the standard treatment for non-muscle-invasive bladder cancer (NMIBC), whereas a high percentage of patients still experience local tumor recurrence and disease progression after receiving the standard treatment modalities. Unfortunately, current relevant prediction models for determining the recurrent and progression risk of NMIBC patients are far from impeccable.

Methods

Clinicopathological characteristics and follow-up information were retrospectively collected from two tertiary medical centers between October 2018 and June 2021. The least absolute shrinkage and selection operator (LASSO) and Cox regression analysis were used to screen potential risk factors affecting recurrence-free survival (RFS) of patients. A nomogram model was established, and the patients were risk-stratified based on the model scores. Both internal and external validation were performed by sampling the model with 1,000 bootstrap resamples.

Results

The study included 299 patient data obtained from the Affiliated Hospital of Xuzhou Medical University and 117 patient data obtained from the First Affiliated Hospital of Guangxi Medical University. Univariate regression analysis suggested that urine red blood cell count and different tumor invasion locations might be potential predictors of RFS. LASSO-Cox regression confirmed that prior recurrence status, times of IVI, and systemic immune-inflammation index (SII) were independent factors for predicting RFS. The area under the curve for predicting 1-, 2-, and 3-year RFS was 0.835, 0.833, and 0.871, respectively. Based on the risk stratification, patients at high risk of recurrence and progression could be accurately identified. A user-friendly risk calculator based on the model is deposited at https://dl0710.shinyapps.io/nmibc_rfs/.

Conclusion

Internal and external validation analyses showed that our model had excellent predictive discriminatory ability and stability. The risk calculator can be used for individualized assessment of survival risk in NMIBC patients and can assist in guiding clinical decision-making.

Outcome predictors in COVID-19: An analysis of emergent systemic inflammation indices in Mexican population

Introduction

The systemic viral disease caused by the SARS-CoV-2 called coronavirus disease 2019 (COVID-19) continues to be a public health problem worldwide.

Objective

This study is aimed to evaluate the association and predictive value of indices of systemic inflammation with severity and non-survival of COVID-19 in Mexican patients.

Materials and Methods

A retrospective study was carried out on 807 subjects with a confirmed diagnosis of COVID-19. Clinical characteristics, acute respiratory distress syndrome (ARDS), severity according to PaO2/FiO2 ratio, invasive mechanical ventilation (IMV), and non-survival outcome were considered to assess the predictive value and the association of 11 systemic inflammatory indices derived from hematological parameters analyzed at the hospital admission of patients. The receiver operating characteristics curve was applied to determine the thresholds for 11 biomarkers, and their prognostic values were assessed via the Kaplan-Meier method.

Results

26% of the studied subjects showed COVID-19 severe (PaO2/FiO2 ratio ≤ 100), 82.4% required IMV, and 39.2% were non-survival. The indices NHL, NLR, RDW, dNLR, and SIRI displayed predictive values for severe COVID-19 and non-survival. NHL, SIRI, and NLR showed predictive value for IMV. The cut-off values for RDW (OR = 1.85, p < 0.001), NHL (OR = 1.67, p = 0.004) and NLR (OR = 1.56, p = 0.012) were mainly associated with severe COVID-19. NHL (OR = 3.07, p < 0.001), AISI (OR = 2.64, p < 0.001) and SIRI (OR = 2.51, p < 0.001) were associated with IMV support, while for non-survival the main indices associated were NHL (OR = 2.65, p < 0.001), NLR (OR = 2.26, p < 0.001), dNLR (OR = 1.92, p < 0.001), SIRI (OR = 1.67, p = 0.002) and SII (OR = 1.50, p = 0.010). The patients with an RDW, PLR, NLR, dNLR, MLR, SII, and NHL above the cut-off had a survival probability of COVID-19 50% lower, with an estimated mean survival time of 40 days.

Conclusion

The emergent systemic inflammation indices NHL, NLR, RDW, SII, and SIRI have a predictive power of severe COVID-19, IMV support, and low survival probability during hospitalization by COVID-19 in Mexican patients.

Prognostic significance of systemic immune-inflammation index in patients with bladder cancer: A systematic review and meta-analysis

BACKGROUND

Systemic Immune-inflammation Index (SII) has been shown to correlate with the prognosis of numerous malignancies, but researchers have not yet reached an agreed conclusion on bladder cancer. To fill the blank, we conducted a meta-analysis to assess the prognostic role of SII in the prognosis of bladder cancer.

METHODS

After analyzing relevant literature published in PubMed, China National Knowledge Infrastructure, EMBASE, Cochrane Library, and Web Science up to April 30, 2022, we collected 83 articles to assess the significance of SII levels in assessing the prognosis of bladder cancer patients, and finally, 11 articles were included in the study. The correlation between pre-treatment Systemic Immunoinflammatory Index levels and survival in bladder cancer patients was assessed using risk ratio (HR) and 95% confidence interval (CI).

RESULTS

Our meta-analysis comprised 11 papers altogether, and the findings revealed that higher levels of pretreatment SII were significantly associated with poorer overall survival/cancer-specific survival/progression-free survival/recurrence-free survival in bladder cancer patients (pooled HR = 1.80; 95% CI, 1.28-2.51; pooled HR = 1.68; 95% CI, 1.14-2.47; pooled HR = 1.74; 95% CI, 1.25-2.42; pooled HR = 1.73; 95% CI, 1.26-2.39). The above result was also confirmed in the subgroup analysis.

CONCLUSIONS

Higher SII levels were significantly connected with overall survival/cancer-specific survival/progression-free survival/recurrence-free survival rates in bladder cancer patients, suggesting that SII is an important predictor of prognosis in bladder cancer patients.

Expression and prognostic value of carbonic anhydrase IX (CA-IX) in bladder urothelial carcinoma

Objective

To investigate the expression intensity of carbonic anhydrase IX (CA-IX) in bladder urothelial carcinoma and its predictive value for the recurrence after transurethral resection of bladder tumor.

Methods

A retrospective analysis was made of 194 specimens who underwent transurethral resection of bladder tumors in our hospital from January 2014 to January 2016 and completed follow-up. The expression intensity of CA-IX and the clinical data of the patients were analyzed, and the subjects were divided into positive group and negative group according to the expression intensity of CA-IX. The age, gender, T stage, degree of differentiation, tumor number, tumor diameter, recurrence of each group was analyzed. Logistic univariate and multivariate analysis was used successively to find independent influencing factors for predicting the recurrence of bladder urothelial carcinoma after resection. The Kaplan–Meier survival curve was drawn according to the relationship between CA-IX expression intensity and postoperative recurrence.

Results

The positive expression rates of CA-IX in bladder urothelial carcinomas were 68.1% (132/194). The positive expression of CA-IX had no statistical significance with age, gender and tumor diameter (P > 0.05), while the positive expression of CA-IX had statistical significance with tumor T stage, tumor differentiation, tumor number and recurrence (P < 0.05); Logistic regression analysis showed that clinical T stage, tumor differentiation, tumor number, and CA-IX expression intensities were independent risk factors for predicting recurrence of bladder urothelial carcinoma after resection (P < 0.05); There were 59 cases of recurrence in the positive expression of CA-IX group, with a recurrence rate of 44.69% (59/132), and 17 cases of recurrence in the negative expression group, with a recurrence rate of 27.41% (17/62). The mean recurrence time of CA-IX positive group was 29.93 ± 9.86 (months), and the mean recurrence time of CA-IX negative group was 34.02 ± 12.44 (months). The Kaplan–Meier survival curve showed that the recurrence rate and recurrence time of patients with positive expression of CA-IX in bladder urothelial carcinomas were significantly higher than those of patients with negative expression of CA-IX.

Conclusion

CA-IX is highly expressed in bladder urothelial carcinoma, is a good tumor marker, and can be used as a good indicator for predicting the recurrence of bladder urothelial carcinoma after transurethral resection of bladder tumor.

The Prognostic and Clinicopathological Significance of Systemic Immune-Inflammation Index in Bladder Cancer

Background

Systemic immune-inflammation index (SII) has recently emerged as a biomarker for the prognosis of a variety of malignant tumors. However, the role of SII in bladder cancer (BC) remains unclear. To this end, we performed a pooled analysis to investigate the prognostic value of preoperative SII in patients with BC.

Methods

A comprehensive search of electronic databases (PubMed/Medline, Web of Science, Scopus, and Cochrane Central Register of Controlled Trials) was conducted to determine the eligible studies that were published until January 2022. Pooled hazard ratios (HRs) and odds ratios (ORs) with 95% confidence intervals (CIs) were calculated to evaluate the association between preoperative SII and the prognosis and clinicopathological characteristics of BC.

Results

Ten studies with 7,087 patients were included in this analysis. SII was observed to be correlated with inferior overall survival (HR = 1.22, 95% CI 1.04–1.44, p = 0.013), cancer-specific survival (HR = 1.68, 95% CI 1.14–2.47, p = 0.009), and recurrence-free survival (HR = 1.29, 95% CI 1.03–1.61, p = 0.027). An increased preoperative SII was also associated with poor tumor differentiation, higher tumor stage, presence of lymph node involvement, and tumor size ≥3 cm (all p < 0.05).

Conclusions

An elevated preoperative SII is significantly associated with worse survival outcomes and adverse pathological features in patients with BC. Hence, SII may serve as a strong independent prognostic predictor for patients with BC after surgery.

Can Routine Blood and Urine Parameters Reveal Clues to Detect Bladder Cancer? A Case–Control Study

Objective

Limited attention has been paid to abnormal blood and urine test results for patients with bladder cancer. The present study aimed to identify whether blood and urine parameters are associated with bladder cancer.

Methods

We used a case–control design and matched each patient with bladder cancer with three healthy controls of the same age and sex. Univariate conditional logistic regression was used to calculate the crude and adjusted odds ratio (OR) and its 95% CI. Multivariate conditional logistic regression was performed for confounders adjustment, and Spearman’s correlation coefficient was used to assess the correlation between tumor T stages and urine parameters.

Results

Patients with bladder cancer (n = 360) and controls (n = 1050) were recruited. In the univariate conditional logistic analysis, higher urine pH was associated with a decreased risk of bladder cancer (OR = 0.67, 95% CI = 0.57–0.78), while higher values of urine protein (OR = 4.55, 95% CI = 3.36–6.15), urine glucose (OR = 1.56, 95% CI = 1.18–2.05), and urine occult blood (OR = 4.27, 95% CI = 3.44–5.29) were associated with an increased risk of bladder cancer. After adjustment for body mass index, fasting blood glucose, hypertension, red blood cells, white blood cells, lymphocytes, neutrophils, and platelets, significance still remained for urine pH (OR = 0.68, 95% CI = 0.53–0.88), urine protein (OR = 1.97, 95% CI = 1.21–3.19), urine glucose (OR = 2.61, 95% CI = 1.39–4.89), and urine occult blood (OR = 3.54, 95% CI = 2.73–4.58).

Conclusion

This study indicated that lower urine pH and higher values of urine protein, urine glucose, and urine occult blood might be risk factors for bladder cancer.

The predictive value of the ratio of the product of neutrophils and hemoglobin to lymphocytes in non-muscular invasive bladder cancer patients with postoperative recurrence

PURPOSE

The purpose of this study was to explore the predictive value of the ratio of the product of neutrophils and hemoglobin to lymphocytes (NHL) in patients with non-muscular invasive bladder cancer (NMIBC).

MATERIALS AND METHODS

We retrospectively collected clinical and pathological data of patients with NMIBC who underwent transurethral resection of bladder tumor (TURBT) at our hospital between 2013 and 2018. The ratio of neutrophils to lymphocytes (NLR), the Systemic Immune Inflammation Index (SII), and NHL were obtained based on routine blood settlement within a week before surgery. The receiver operating characteristic curve was used to determine the optimal cutoff value of each index, and different groups were grouped accordingly. Kaplan-Meier survival curve and Cox regression model were used to study the factors affecting the prognosis of NMIBC patients.

RESULTS

There was significant difference in recurrence-free survival (RFS) rate between the high NLR group and the low NLR group, the high SII group and the low SII group, and the high NHL group and the low NHL group. Cox univariate regression analysis showed that tumor number, tumor size, tumor pathological grade, tumor pathological stage, NLR, SII, and NHL were related to postoperative RFS in patients with NMIBC. The tumor number, tumor pathological grade, SII, and NHL were independent predictors of RFS in multivariate analysis.

CONCLUSIONS

The preoperative clinical inflammatory indexes NLR, SII, and NHL have certain predictive value for postoperative RFS in NMIBC patients.