Association of gut microbiome with immune microenvironment in surgically treated colorectal cancer patients

This study explored the relationship between faecal microbiota distribution and local or systemic immune response in patients with colorectal cancer (CRC). The study population included 114 surgically treated CRC patients. Faeces were analysed using 16S rRNA gene sequencing. The immune score in tumour microenvironment was evaluated using CD3 and CD8 immunohistochemistry. Genetic alterations, microsatellite instability status and five systemic inflammatory markers were also analysed. Thirty of 114 (26.3%) CRC patients were categorised as the 'immune type' with a high density of T-cells. The immune type CRC cases showed lower angiolymphatic invasion and longer overall survival. Of the 123 selected bacterial species, Bacteroides fragilis and Collinsella aerofaciens were prevalent in immune CRC cases, whereas Odoribacter splanchnicus and Phascolarctobacterium succinatutens were prevalent in non-immune CRC patients. Bacteroides fragilis was associated with shorter disease free survival in univariable and multivariable survival analyses. Regarding systemic immunity, a high prevalence of C. aerofaciens was associated with a high modified Glasgow prognostic score. This study revealed a potential relationship among the gut microbiome, immune microenvironment, and disease progression in patients with CRC. Our findings suggest that abundant B. fragilis in patients with CRC is associated with a 'cold immune' tumour microenvironment.

Prognostic role of neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, systemic immune-inflammation index, and pan-immune-inflammation value in metastatic castration-resistant prostate cancer patients who underwent 177Lu-PSMA-617

This study is aimed to investigate the prognostic significance of inflammation indices, including neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammation index (SII), and pan-immune-inflammation value (PIV) in metastatic castration-resistant prostate cancer (mCRPC) patients who had received lutetium labeled prostate-specific membrane antigen (177Lu-PSMA-617) therapy. Sixty-one mCRPC patients who received 177Lu-PSMA-617 treatment and followed up in Kocaeli University were included. The relationship between overall survival (OS) and progression-free survival (PFS) and clinical and laboratory parameters was analyzed by multivariate analyses. The mean age was 69.8 ± 6.9 years. The mean follow-up time was 53.2 ± 24 months. The median OS was 14 (95% CI: 8.8-18.1) and the median PFS was 10.4 (95% CI: 4.7-17.2) months. NLR ≥ 2.7, PLR ≥ 134.27, SII ≥ 570.39, PIV ≥ 408.59 were considered as elevated levels. In the multivariate analysis for OS, baseline ECOG performance score (HR: 1.92, 95% CI: 1.01-3.65, P = .046), high albümin (HR: 0.36, 95% CI: 0.16-0.82, P = .015), primary resistant total prostate-specific-antigen (PSA) (HR: 4.37, 95% CI: 1.84-10.35, P = .001), high NLR (HR: 3.32, 95% CI: 1.66-6.65, P = .001), high MLR (HR: 2.53, 95% CI: 1.35-4.76, P = .004), high PLR (HR: 2.47, 95% CI: 1.23-4.96, P = .01), and high SII (HR: 2.17, 95% CI: 1.09-4.32, P = .027) were associated with shorter OS. However, PIV was not associated with survival (P = .69). No factor other than the primer-resistant PSA could be identified as having an impact on PFS (for the PSA, HR: 4.52, 95% CI: 1.89-10.76, P = .001). In this study, pretreatment NLR, MLR, PLR, and SII demonstrate as powerful independent prognostic indices predicting survival in patients with mCRPC receiving 177Lu-PSMA-617 therapy.

Prognostic Value of Body Composition and Systemic Inflammatory Markers in Patients with Locally Advanced Cervical Cancer Following Chemoradiotherapy

Background

Abnormal changes in body composition and systemic inflammation response have been associated with poor survival of cancer patients. Our study was to explore the prognostic value of the association between body composition indicators and systemic inflammation markers among patients with locally advanced cervical cancer (LACC) who underwent concurrent chemoradiotherapy (CCRT).

Methods

We retrospectively reviewed medical records of LACC patients treated between 2016 and 2019. Subcutaneous, visceral and intra-muscular adipose index (SAI, VAI and IMAI) and skeletal muscle index (SMI) were derived from computed tomography (CT). Kaplan-Meier analysis and Univariate and multivariate Cox analyses were used to evaluate the survival. A nomogram was constructed to assess the prognostic value.

Results

The study included 196 patients treated with CCRT. According to multivariable Cox analyses, IIIC1r (P = 0.045), high systemic immune-inflammation index (SII) (P = 0.004), sarcopenia (P = 0.008), high SAI (P = 0.016) and high VAI (P = 0.001) were significantly risk factors for overall survival (OS). Kaplan-Meier analysis showed that patients with low lymphocyte-to-monocyte ratio (LMR) and sarcopenia had longer OS than those with high LMR and sarcopenia (P = 0.023). The high neutrophil-to-lymphocyte ratio (NLR) in non-sarcopenic patients showed better survival (P = 0.022). Low VAI (P = 0.019) or low IMAI (P = 0.019) combined with low SII had a favorable OS. Low LMR combined with low SAI was associated with longer OS (P = 0.022). The calibration plots of nomogram predicting the 3-year and 5-year OS rates were close to the ideal models.

Conclusion

Inflammation factors were closely associated with abnormal muscle and fat distribution. The combined prognostic value of body composition indicators and systemic inflammation markers was reliable in predicting survival for LACC patients.

An Easy-to-Use Nomogram Based on SII and SIRI to Predict in-Hospital Mortality Risk in Elderly Patients with Acute Myocardial Infarction

Aim

Inflammatory response is closely associated with poor prognosis in elderly patients with acute myocardial infarction (AMI). The aim of this study was to develop an easy-to-use predictive model based on medical history data at admission, systemic immune inflammatory index (SII), and systemic inflammatory response index (SIRI) to predict the risk of in-hospital mortality in elderly patients with AMI.

Methods

We enrolled 1550 elderly AMI patients (aged ≥60 years) with complete medical history data and randomized them 5:5 to the training and validation cohorts. Univariate and multivariate logistic regression analyses were used to screen risk factors associated with outcome events (in-hospital death) and to establish a nomogram. The discrimination, calibration, and clinical application value of nomogram were evaluated based on receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis (DCA), respectively.

Results

The results of multivariate logistic regression showed that age, body mass index (BMI), previous stroke, diabetes, SII, and SIRI were associated with in-hospital death, and these indicators will be included in the final prediction model, which can be obtained by asking the patient's medical history and blood routine examination in the early stage of admission and can improve the utilization rate of the prediction model. The areas under the ROC curve for the training and validation cohorts nomogram were 0.824 (95% CI 0.796 to 0.851) and 0.809 (95% CI 0.780 to 0.836), respectively. Calibration curves and DCA showed that nomogram could better predict the risk of in-hospital mortality in elderly patients with AMI.

Conclusion

The nomogram constructed by combining SII, SIRI, and partial medical history data (age, BMI, previous stroke, and diabetes) at admission has a good predictive effect on the risk of in-hospital death in elderly patients with AMI.

The Use of Systemic Inflammatory Markers From Routine Blood Tests in Predicting Preeclampsia and the Impact of Age on Marker Levels

Our study aimed to investigate the relationship between preeclampsia (PE) and blood levels of neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammatory index (SII) in the first trimester of pregnancy. In addition to examining the potential correlation between these inflammatory markers and PE, we aimed to compare the levels based on age to determine whether there are potential age-related differences in marker levels. Over a six-month period, we reviewed the complete blood count (CBC) analysis results of 126 subjects, where 63 patients had a documented history of PE and 63 were healthy pregnant females. We found that age had no statistically significant effect on NLR, MLR, or SII levels, but there was a statistically significant difference in PLR levels between the 18-25 and 26-35 age groups. The study also revealed that the MLR and PLR in the 18-25 age group of preeclampsia patients were statistically significantly lower than those of healthy patients, whereas the PLR and SII in the 26-35 age group of preeclampsia patients were statistically significantly higher than those of healthy patients. The results suggest that systemic inflammatory response (SIR) markers may be able to predict the development of preeclampsia. The study also emphasized the importance of taking age into account, specifically the 18-25 and 26-35 age groups, when assessing the risk of preeclampsia. Further research is needed however to corroborate existing findings and determine the importance of the examined inflammatory markers in the diagnosis of PE.

Prognostic Significance of the Post-Treatment Neutrophil-to-Lymphocyte Ratio in Pharyngeal Cancers Treated with Concurrent Chemoradiotherapy

BACKGROUND

Even though the pre-treatment neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) are well-established prognosticators in various cancers including head and neck cancers, there have been relatively few studies on the clinical significance of the post-treatment values. This study aimed to investigate the changes in NLR and PLR after concurrent chemoradiotherapy (CCRT) and to evaluate their prognostic significance in pharyngeal cancers.

METHODS

This study was retrospectively conducted on 461 consecutive patients with primary pharyngeal cancer who had received definitive CCRT. Blood test results before and after CCRT were obtained, and the pre- and post-treatment NLR and PLR were calculated. Patient prognosis was evaluated based on overall survival (OS) and relapse-free survival (RFS).

RESULTS

After CCRT, the NLR increased from 2.01 (interquartile range (IQR), 1.53-2.62) to 2.69 (IQR, 1.93-3.81), and the PLR increased from 118.84 (IQR, 92.61-151.63) to 193.19 (IQR, 146.28-262.46). Along with high pre-treatment NLR and high pre-treatment PLR, high post-treatment NLR was also significantly associated with worse OS and RFS (p = 0.013 and p = 0.026). In addition, patients with a high ΔNLR (i.e., the difference between pre- and post-treatment NLRs) had significantly worse OS and RFS (p = 0.013 and p = 0.026). However, only a high pre-treatment NLR (hazard ratio (HR), 2.19; 95% confidence interval (CI), 1.17-4.08; p = 0.014), age (HR, 2.16; 95% CI, 1.14-4.08; p = 0.018), and stage IV (HR, 2.11; 95% CI, 1.15-3.89; p = 0.017) were independent prognostic factors for OS in the multivariate analysis.

CONCLUSIONS

In patients with pharyngeal cancers, following CCRT, the NLR and PLR increased significantly from pre-treatment values. Like the pre-treatment NLR and PLR, a high post-treatment NLR and a significant increase in NLR were also associated with poor prognosis. Further prospective studies are required to prove the independent significance of the post-treatment NLR and PLR.

Preoperative Systemic Inflammatory Markers as a Significant Prognostic Factor After TURBT in Patients with Non-Muscle-Invasive Bladder Cancer

Introduction

Neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), and lymphocyte/monocyte ratio (LMR) have been widely proposed to have predictive value for the patient prognosis of many malignancies, including bladder cancer. However, the predictive value of their combination in non-muscle-invasive bladder cancer (NMIBC) is unclear.

Methods

Cases of NMIBC patients who underwent transurethral resection of the bladder tumor were recruited from two tertiary public medical centers. A systemic inflammatory marker (SIM) score was calculated based on comprehensive consideration of NLR, PLR, and LMR. Recurrence-free survival (RFS) and progression-free survival (PFS) were estimated by Kaplan-Meier analysis. The Log rank test was used to compare differences between the groups. Cox regression was used to screen risk factors affecting RFS and PFS. Nomogram models were established and validated, and patients were stratified based on the model scores.

Results

The study dataset was grouped according to a 7:3 randomization, with the training cohort consisting of 292 cases and the validation cohort consisting of 124 cases. Cox regression analysis showed that SIM score is an independent predictor of RFS and PFS in NMIBC patients. The novel models were established based on the SIM score and other statistically significant clinicopathological features. The area under the curve (AUC) for predicting 1-, 2-, and 3-year RFS was 0.667, 0.689, and 0.713, respectively. The AUC for predicting 1-, 2-, and 3-year PFS was 0.807, 0.775, and 0.862, respectively. Based on the risk stratification, patients at high risk of recurrence and progression could be accurately identified. The established models were applied to the patient evaluation of the validation cohort, which proved the great performance of the novel models.

Conclusion

The novel models based on the SIM score and clinicopathological characteristics can accurately predict the survival prognosis of NMIBC patients, and the models can be used by clinicians for individualized patient assessment and to assist in clinical decision-making.

Diagnostic Efficiency of Pan-Immune-Inflammation Value to Predict Prostate Cancer in Patients with Prostate-Specific Antigen between 4 and 20 ng/mL

INTRODUCTION

To evaluate the predictive value of the pan-immune-inflammation value (PIV) and other systemic inflammatory markers, including the neutrophil-to-lymphocyte ratio (NLR), derived neutrophil-to-lymphocyte ratio (dNLR), monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII), for prostate cancer (PCa) and clinically significant prostate cancer (CSPCa) in patients with a prostate-specific antigen (PSA) value between 4 and 20 ng/mL.

PATIENTS AND METHODS

The clinical data of 319 eligible patients who underwent prostate biopsies in our hospital from August 2019 to June 2022 were retrospectively analyzed. CSPCa was defined as a "Gleason grade group of ≥2". A univariable logistic regression analysis and multivariable logistic regression analysis were conducted to analyze the association between the PIV, SII, MLR, and PCa/CSPCa. For the inflammatory indicators included in the multivariable logistic regression analysis, we constructed models by combining the separate inflammatory indicator and other significant predictors and compared the area under the curve (AUC). A nomogram based on the PIV for PCa was developed.

RESULTS

We included 148 PCa patients (including 127 CSPCa patients) and 171 non-PCa patients in total. The patients with PCa were older, had higher MLR, SII, PIV, and total PSA (TPSA) values, consumed more alcohol, and had lower free/total PSA (f/T) values than the other patients. Compared with the non-CSPCa group, the CSPCa group had higher BMI, MLR, PIV, TPSA values, consumed more alcohol, and had lower f/T values. The univariable regression analysis showed that drinking history, higher MLR, PIV, and TPSA values, and lower f/T values were independent predictors of PCa and CSPCa. The AUC of the PIV in the multivariable logistic regression model was higher than those of the MLR and SII. In addition, the diagnostic value of the PIV + PSA for PCa was better than the PSA value. However, the diagnostic value for CSPCa was not significantly different from that of using PSA alone, while the AUC of the PIV + PSA was higher than the individual indicator of the PSA value.

CONCLUSIONS

Our study suggests that for the patients who were diagnosed with PSA values between 4 and 20 ng/mL, the PIV and MLR are potential indicators for predicting PCa and CSPCa. In addition, our study indicates that the new inflammatory index PIV has clinical value in the diagnosis of PCa and CSPCa.

Systemic inflammation factors as survival prognosis markers in ovarian neoplasm and the relationship with cancer-associated inflammatory mediators-a review

At the level of the genital system, ovarian neoplasm is the most frequent cause of morbidity and mortality. In the specialized literature, the coexistence of an inflammatory process is admitted from the early stages of the evolution of this pathology. Starting from the importance of this process, both in determinism and in the evolution of carcinogenesis and summarizing the field of knowledge, for this study we considered two objectives: the first was the presentation of the pathogenic mechanism, through which chronic +ovarian inflammation is involved in the process of carcinogenesis, and the second is the justification of the clinical utility of the three parameters, accepted as biomarkers of systemic inflammation: neutrophil-lymphocyte ratio, platelet lymphocyte ratio, and lymphocyte-monocyte ratio in the assessment of prognosis. The study highlights the acceptance of these hematological parameters, with practical utility, as prognostic biomarkers in ovarian cancer, based on the intrinsic link with cancer-associated inflammatory mediators. Based on the data from the specialized literature, the conclusion is that in ovarian cancer, the inflammatory process induced by the presence of the tumor, induces changes in the types of circulating leukocytes, with immediate effects on the markers of systemic inflammation.

A Novel Nomogram Integrated with Systemic Inflammation Markers and Traditional Prognostic Factors for Adverse Events' Prediction in Patients with Chronic Heart Failure in the Southwest of China

Objective

Inflammation contributes to the pathogenesis and progression of heart failure (HF). This study aimed to construct a nomogram based on systemic inflammatory markers and traditional prognostic factors to assess the risk of adverse outcomes (cardiovascular readmission and all-cause death) in patients with chronic heart failure (CHF).

Methods

Data were retrospectively collected from patients with HF admitted to the Department of Cardiovascular Medicine at the First Affiliated Hospital of Chongqing Medical University from January 2018 to April 2020, and each patient had complete follow-up information. The follow-up duration was from June 2018 to May 31, 2022. 550 patients were included and randomly assigned to the derivation and validation cohorts with a ratio of 7:3, and prognostic risk factors of CHF were identified by Cox regression analysis. The nomogram chart scoring model was constructed.

Results

The Cox multivariate regression analysis showed that traditional prognostic factors such as age (P=0.011), BMI (P=0.048), NYHA classification (P<0.001), creatinine (P<0.001), and systemic inflammatory markers including LMR (P=0.001), and PLR (P=0.015) were independent prognostic factors for CHF patients. Integrated with traditional and inflammatory prognostic factors, a nomogram was established, which yielded a C-index value of 0.739 (95% CI: 0.714-0.764) in the derivation cohort and 0.713 (95% CI: 0.668-0.758) in the validation cohort, respectively. The calibration curves exhibited good performance of the nomogram in predicting the adverse outcomes for patients with CHF. In subgroups (HFrEF, HFmrEF, and HFpEF groups), the systematic inflammatory markers-based nomograms proved to be effective prediction tools for patients' adverse overcomes, as well.

Conclusion

The nomogram combining systemic inflammatory markers and traditional risk factors has satisfactory predictive performance for adverse outcomes (mortality and readmission) in patients with CHF.

The Four-Feature Prognostic Models for Cancer-Specific and Overall Survival after Surgery for Localized Clear Cell Renal Cancer: Is There a Place for Inflammatory Markers?

We aimed at a determination of the relevance of comorbidities and selected inflammatory markers to the survival of patients with primary non-metastatic localized clear cell renal cancer (RCC). We retrospectively analyzed data from a single tertiary center on 294 patients who underwent a partial or radical nephrectomy in the years 2012–2018. The following parameters were incorporated in the risk score: tumor stage, grade, size, selected hematological markers (SIRI—systemic inflammatory response index; SII—systemic immune-inflammation index) and a comorbidities assessment tool (CCI—Charlson Comorbidity Index). For further analysis we compared our model with existing prognostic tools. In a multivariate analysis, tumor stage (p = 0.01), tumor grade (p = 0.03), tumor size (p = 0.006) and SII (p = 0.02) were significant predictors of CSS, while tumor grade (p = 0.02), CCI (p = 0.02), tumor size (p = 0.01) and SIRI (p = 0.03) were significant predictors of OS. We demonstrated that our model was characterized by higher accuracy in terms of OS prediction compared to the Leibovich and GRANT models and outperformed the GRANT model in terms of CSS prediction, while non-inferiority to the VENUSS model was revealed. Four different features were included in the predictive models for CSS (grade, size, stage and SII) and OS (grade, size, CCI and SIRI) and were characterized by adequate or even superior accuracy when compared with existing prognostic tools.

Age-Dependent Hematologic Toxicity Profiles and Prognostic Serologic Markers in Postoperative Radiochemotherapy Treatment for Uterine Cervical Cancer

Introduction: In the adjuvant setting for cervical cancer, classical risk factors for postoperative radiochemotherapy have been established. However, data on laboratory changes during therapy and the prognostic value of serological markers are limited and further knowledge is needed to optimize the toxic trimodal regimen. Methods: We retrospectively identified 69 women who underwent weekly postoperative radiochemotherapy with 40 mg/m² of cisplatin for cervical cancer between 2010 and 2021 at a single center. Laboratory parameters were recorded before, at each cycle and after radiochemotherapy. Kaplan-Meier and log-rank analyses were used to calculate and compare survival, groups were compared using the Mann–Whitney U, χ², and variance tests. Results: With a median follow-up of 17.7 months, the 1- and 5-year local control rates were 94.0% and 73.7%, respectively, with significantly better rates for more chemotherapy cycles and negative resection margins. Only 68.1% of patients completed all cycles. The most common reasons for early discontinuation were persistent asymptomatic leukopenia in women aged ≤ 50 years, and limiting infections in women aged > 50 years. Leukopenia was more likely to occur after the third cycle. Significantly worse survival was observed for post-radiochemotherapy elevated C-reactive-protein and lactate dehydrogenase levels, low pre-radiochemotherapy nutritional index, and raised C-reactive-protein-levels; the latter were also predictable for local control. The Glasgow prognostic score did not reliably predict survival. Conclusion: Incomplete application of simultaneous chemotherapy leads to inferior local control, and age-dependent limiting factors should be identified at an early stage. In addition to classical risk factors, serological markers (C-reactive-protein, lactate dehydrogenase, nutritional index) show prognostic significance.

Is There Any Relationship Between Systemic Inflammatory Markers And Meningioma Grade?

BACKGROUND

Systemic inflammatory markers have been found to be of value in predicting the prognosis in renal cell and gastrointestinal cancers. Recent studies in gliomas correlating with Systemic inflammatory markers (SIMS) have shown promise in predicting survival.

OBJECTIVE

Meningiomas are the commonest intracranial primary brain tumors in adults. There is a need to distinguish low and high grade meningiomas preoperatively as they have crucial implications for the radicality of surgical excision and prognostication.

METHODS

A retrospective search was conducted, and the newly diagnosed meningioma cases were studied. The preoperative hematological parameters of the patients and pathological tumor grades were noted. The grade 1 meningioma was defined as low-grade meningioma while grade 2 and 3 meningiomas were defined as high-grade meningioma. Statistical analysis was performed to determine the association between the hematological parameters and tumor grade.

RESULTS

Seven hundred and eighty meningioma cases with a mean age of 43.5 years were included. The ANC, NLR, and dNLR were found to be significantly elevated in high-grade meningioma (P = 0.03). Other inflammatory parameters including TLC failed to show a statistically significant difference when compared between the grades of meningioma. ROC analysis further showed limited value of these markers in predicting meningioma grade. However, an elevated ANC (OR = 1.08, 95% CI = 1.02-1.14), male sex (OR = 1.71, 95% CI = 1.13-2.58), and tumor origin from sites other than the skull base or thecal sac (OR = 3.33, 95% CI = 1.93-6.12) were predictive of high-grade meningioma in regression analysis.

CONCLUSION

Preoperative hematological inflammatory parameters have limited value in predicting the grade of tumor in meningiomas. An elevated preoperative ANC, NLR, and dNLR were found to be more frequently associated with high grade of meningiomas.

Systemic Inflammatory Markers of Resectable Colorectal Cancer Patients with Different Mismatch Repair Gene Status

Background

We aimed to assess the differences in gene expression and systemic inflammatory markers in colorectal cancer (CRC) patients with different mismatch repair (MMR) statuses.

Methods

Bioinformatics analysis was used to identify the different expression genes in patients with CRC at different MMR statuses. A total of 208 patients with resectable colorectal cancer, including 104 deficient mismatch repair (dMMR) patients and 104 matched proficient mismatch repair (pMMR) patients, were retrospectively analyzed.

Results

Bioinformatics analysis showed that chemokine-mediated signaling pathway and inflammatory responses were the main differences in gene expression between dMMR and pMMR CRC patients. In all 208 patients with CRC, those with dMMR frequently had it located on the right side, with more mucinous adenocarcinoma and grade 3 tumors. Patients with dMMR had an earlier American Joint Committee on Cancer (AJCC) stage than pMMR patients. Meanwhile, lymph nodes (LNs) metastasis was more frequently negative in dMMR patients than pMMR patients. Interestingly, patients with CRC with dMMR had more regional lymph nodes removed during surgery, although with less metastatic cancer. Patients with resectable CRC with dMMR were more likely to have higher levels of neutrophil, monocyte, platelet, neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), C-reactive protein to albumin ratio (CAR), Glasgow prognostic score (GPS) and C-reactive protein (CRP). In patients with dMMR, those with higher levels of PLR, MLR, CAR, and co-effect present had shorter overall survival (OS) significantly. It was noteworthy that the prognosis of high levels of systemic inflammatory markers did not predict prolonged OS in patients with pMMR CRC.

Conclusion

dMMR CRC has presented a comprehensively distinct systemic inflammatory microenvironment. The systemic inflammatory response can predict oncological outcomes in patients with CRC with dMMR.

Systemic Inflammatory Parameters in Patients with Elderly-Onset Rheumatoid Arthritis (EORA) and Young-Onset Rheumatoid Arthritis (YORA)-An Observational Study

BACKGROUND

Rheumatoid arthritis (RA) occurs more often in elderly individuals. Elderly onset RA (EORA) (onset > 60 years) encompasses a specific subset of patients if compared with young onset RA (YORA) (onset at a younger age). There is a need to define reliable, simple markers to properly assess the inflammatory activity of RA. Hematological markers of systemic inflammation (Platelet-To-Lymphocyte (PLR) and Neutrophil-To-Lymphocyte (NLR) ratios) are novel measures of the inflammatory response. The goal of the study was to analyze the course of EORA vs. YORA patients and to assess associations between systemic and clinical disease activity markers, including PLR and NLR, in different subsets of patients. PLR and NLR have not previously been assessed in EORA and YORA.

METHODS

The study group consisted of 113 consecutive patients (63 EORA and 50 YORA). The following assessments were performed: joint counts, Disease Activity Score (DAS28), complete blood cell counts, erythrocyte sedimentation rate (ESR), and C-reactive protein (CRP).

RESULTS

EORA was characterized by significantly higher disease activity markers (conventional inflammatory and clinical), a lower rate of remission or low disease activity, and less frequent use of biological drugs and glucocorticoids. The NLR and PLR were positively correlated with disease activity markers. The PLR was significantly lower in EORA compared with in YORA.

CONCLUSION

EORA and YORA patients differed significantly. In EORA, conventional disease activity markers were higher, the PLR was significantly lower.

Time Course of Inflammatory and Procoagulant Markers in the Early Period After Total Hip Replacement

Our study aimed to investigate the levels and time-course of systemic inflammatory and hemostasis markers in the early postoperative period in patients undergoing total hip replacement (THR). The study included 70 patients of both sexes, average age 68.4 ± 10.9 years. Levels of inflammatory and hemostasis markers were measured before surgery (POD 0), a day after the surgery (POD 1) and 5 days after surgery (POD 5). In the postoperative period inflammatory markers increased. The operation provoked a significant increase of CRP on POD 1 in comparison to POD 0 (68.5 ± 5.4 vs 6.8 ± 2.2 μg/mL, p < 0.001) and the additional increase was registered on POD 5 (87.5 ± 8.1 vs 68.5 ± 5.4 μg/mL, p < 0.001). Interleukin-6 significantly increased on POD 1 (251.5 ± 21.6 vs 14.6 ± 7.1 μg/mL, p < 0.001) and after that (POD 5) decreased. After surgery leukocyte count, neutrophil/lymphocyte ratio and platelet/lymphocyte ratio were significantly higher compared to POD 0. Activation of coagulation in the postoperative period was shown by increased peak thrombin on POD 5 in comparison to POD 0 (185 ± 27 vs. 124 ± 31 nM, p < 0.001). D-dimer was increased on POD 1 and an additional rise was observed on POD 5. vWF also progressively increased in the observed period. Results of our study showed that after THR systemic inflammatory markers increased and coagulation function was enhanced. Determination of inflammatory and procoagulant markers could help identify patients at risk for cardiovascular thromboembolic events.

Efficacy of Adjuvant Chemotherapy According to the Classification of Recurrence Risk Based on Systemic Inflammatory Markers in Patients With Liver Metastases of Colorectal Cancer

BACKGROUND/AIM

Although complete resection of liver metastases colorectal cancer (CLM) is the only potentially curative treatment, surgery alone is not enough, as the recurrence rate after resection is high. Therefore, in clinical practice, adjuvant chemotherapy is performed after resection of CLM. However, the evidence supporting the efficacy of such adjuvant chemotherapy is not sufficient. Previous reports have noted that adjuvant chemotherapy after resection of CLM is effective only in patients with a high risk of recurrence. The purpose of this study was to classify the risk of recurrence using systemic inflammatory markers reportedly associated with clinical outcomes in patients with various types of malignancies, and evaluate the efficacy of adjuvant chemotherapy according to the risk of recurrence.

PATIENTS AND METHODS

The medical records of 119 patients with CLM who underwent potentially curative surgery between 1996 and 2017 were retrospectively reviewed. Preoperative blood samples were obtained within 2 weeks before resection of CLM. was calculated from the blood samples Dividing the serum C-reactive protein level by the serum albumin level derived the C-reactive protein-to-albumin ratio (CAR), reflecting the risk of recurrence. The optimal cut-off value of the CAR was determined according to receiver operating characteristic curve analysis, and then the patients were classified into the high-CAR (high recurrence risk) or low-CAR (low recurrence risk) group. The relationship between the CAR and relapse-free survival after resection of CLM was examined and the efficacy of adjuvant chemotherapy according to the risk of recurrence was evaluated.

RESULTS

The cut-off value of the CAR was set at 0.0471. The relapse-free survival rate was significantly better in the low-CAR group than in the high-CAR group. Efficacy of adjuvant chemotherapy after resection of CLM was not recognized in the low-CAR group, whereas the relapse-free survival rates were significantly better for patients who were treated with adjuvant chemotherapy after resection of CLM in the high-CAR group.

CONCLUSION

The preoperative CAR, as a systemic inflammatory marker, was found to be useful as a prognostic marker in patients with CLM who were treated with potentially curative resection. Furthermore, it was suggested that adjuvant chemotherapy after resection of CLM may be effective for preventing recurrence in patients with high levels of inflammatory markers who have a high risk of recurrence.

The value of systemic inflammatory markers in identifying malignancy in mucinous pancreatic cystic neoplasms

The treatment decision-making of mucinous pancreatic cystic neoplasm (PCN) has become a common clinical problem since the diagnostic accuracy of current tests in identifying malignancies in pancreatic cysts is limited. In this study, we aimed to validate the predictive value of systemic inflammatory factors in detecting malignant PCNs. Two hundred and forty-five patients with pathologically confirmed mucinous PCNs in a single Chinese institution were retrospectively analyzed. Receiver operating characteristic (ROC) curves were calculated to determine the optimal cut-off values and measure the diagnostic value. The results showed that neutrophil count (P = 0.009), lymphocyte count (P = 0.002), neutrophil-to-lymphocyte ratio (NLR, P < 0.001), platelet-to-lymphocyte ratio (PLR, P < 0.001) and lymphocyte-to-monocyte ratio (LMR, P < 0.001) were distributed differently among the various differentiation groups of PCN. The univariate analyses indicated that a neutrophil count ≥ 2.8 × 10⁹/L (P = 0.024), lymphocyte count ≤ 1.9 × 10⁹/L (P < 0.001), PLR ≥ 125 (P < 0.001), NLR ≥ 1.96 (P < 0.001), and LMR ≤ 4.29 (P < 0.001) were significantly associated with invasive carcinomas in PCN patients. In addition, the multivariate analyses demonstrated that PLR ≥ 125 and LMR ≤ 4.29 were independent predictors of invasive malignancies. The ROC curves exhibited the malignant detection utility of the independent factor-based predictive model with an area under the curve (AUC) of 0.858 (P < 0.001). In conclusion, systemic inflammatory markers provide a supportive and easily accessible tool for the preoperative diagnoses of malignant PCNs.

Uveitis and Systemic Inflammatory Markers in Convalescent Phase of Ebola Virus Disease

We report a case of probable Zaire Ebola virus–related ophthalmologic complications in a physician from the United States who contracted Ebola virus disease in Liberia. Uveitis, immune activation, and nonspecific increase in antibody titers developed during convalescence. This case highlights immune phenomena that could complicate management of Ebola virus disease–related uveitis during convalescence.

Correlation of Systemic Inflammatory Markers With Radiographic Stages of Charcot Osteoarthropathy

BACKGROUND

Charcot osteoarthropathy (COA) is characterized by a progressive destruction of bone and joint associated with neuropathy and is most common in the foot and ankle. Clinical manifestation of COA is frequently indistinguishable from other causes of pain, swelling, and erythema of the affected extremity, in particular, infection. Diagnosis of COA can be challenging in particular in early stages where radiographic changes are sparse. The presence of elevated systemic inflammatory parameters in the context of suspected infection may delay early diagnosis and treatment of COA. The aim of this retrospective analysis was to assess whether elevated systemic inflammatory parameters may be present, in particular in early stages of COA and thus not be used as an exclusion criterion for the diagnosis of COA.

METHODS

Forty-two patients (mean age 48.2 ± 9.4 years, 36 male, 6 female) with a diagnosis of unilateral COA were the subject of this retrospective study. The diagnosis of COA was confirmed by plain radiographs, magnetic resonance imaging and clinical course. Systemic inflammatory parameters were recorded at the time of referral. Acute stages (stages 0 and 1) were treated with a total contact cast (TCC) and protected weight bearing for a minimum of 6 weeks. For chronic stages (stages 2 and 3) custom-made shoes were prescribed. The feet were stratified into "acute" (Eichenholz stages 0 and 1) and "subacute/chronic" (Eichenholz stages 2 and 3) groups.

RESULTS

Statistically significant differences were observed for all recorded systemic inflammatory parameters (C-reactive protein level, WBC count, erythrocyte sedimentation rate) between the acute and subacute/chronic groups. No statistical difference was observed considering the anatomic pattern of involvement.

CONCLUSION

The present study demonstrated that elevated systemic inflammatory parameters may be present in COA and can further be used to distinguish between acute and subacute stages of COA, based on the Eichenholtz classification. Thus, we suggest that elevated inflammatory markers should not be considered an exclusion criterion for the diagnosis of COA.

LEVEL OF EVIDENCE

Level III, retrospective comparative series.

Comparative Evaluation of Clinical, Hematological and Systemic Inflammatory Markers in Smokers and Non-Smokers with Chronic Periodontitis

Context:

Systemic conditions, especially chronic infections, have a direct impact on the general health and well-being of an individual. Similarly, the long-standing inflammatory changes seen during periodontitis have been associated with the altered diabetic control, preterm, low birth weight infants, and cardiovascular disease. Being a low-grade infection, the signs may not be as severe as seen in other systemic conditions, but they definitely cannot be ignored.

Aims:

The present study was designed to compare clinical, hematological, and systemic inflammatory markers in patients with chronic periodontitis.

Subjects and Methods:

A total of 90 chronic periodontitis patients were selected for the present study from the outpatient department of the Department of Periodontology, and the various clinical and hematological parameters were then assessed.

Statistical Analysis Used:

Z-test was used to compare the probing depth, clinical attachment loss, hematological parameter, and interleukin-6 values between Group A and Group B. Mann–Whitney U-test was used to compare gingival index, plaque index, and bleeding on probing between Group A and Group B.

Results:

The results of the study were based on the comparison of the clinical, hematological, and systemic inflammatory markers in smokers and nonsmokers with chronic periodontitis and came out to be statistically highly significant.

Conclusions:

With the resurgence of emphasis on significance of oral diseases related to systemic health, the medical professionals also need to familiarize themselves with the oral cavity and the oral-systemic inter-relationships to treat or reduce the morbidity of the underlying medical condition. Furthermore, the oral health care professionals must reach out to the medical community and the general public to improve patient care through education and communication about the oral health-systemic health link.