Inflammation-based Scores Research Articles

Outcome prediction in hospitalized COVID-19 patients: Comparison of the performance of five severity scores.

The aim of our study was to externally validate the predictive capability of five developed coronavirus disease 2019 (COVID-19)-specific prognostic tools, including the COVID-19 Spanish Society of Infectious Diseases and Clinical Microbiology (SEIMC), Shang COVID severity score, COVID-intubation risk score-neutrophil/lymphocyte ratio (IRS-NLR), inflammation-based score, and ventilation in COVID estimator (VICE) score. The medical records of all patients hospitalized for a laboratory-confirmed COVID-19 diagnosis between May 2021 and June 2021 were retrospectively analyzed. Data were extracted within the first 24 h of admission, and five different scores were calculated. The primary and secondary outcomes were 30-day mortality and mechanical ventilation, respectively. A total of 285 patients were enrolled in our cohort. Sixty-five patients (22.8%) were intubated with ventilator support, and the 30-day mortality rate was 8.8%. The Shang COVID severity score had the highest numerical area under the receiver operator characteristic (AUC-ROC) (AUC 0.836) curve to predict 30-day mortality, followed by the SEIMC score (AUC 0.807) and VICE score (AUC 0.804). For intubation, both the VICE and COVID-IRS-NLR scores had the highest AUC (AUC 0.82) compared to the inflammation-based score (AUC 0.69). The 30-day mortality increased steadily according to higher Shang COVID severity scores and SEIMC scores. The intubation rate exceeded 50% in the patients stratified by higher VICE scores and COVID-IRS-NLR score quintiles. The discriminative performances of the SEIMC score and Shang COVID severity score are good for predicting the 30-day mortality of hospitalized COVID-19 patients. The COVID-IRS-NLR and VICE showed good performance for predicting invasive mechanical ventilation (IMV).

Inflammation-based scores as predictors of treatment response in advanced adrenocortical carcinoma.

Treatment for advanced adrenocortical carcinoma (ACC) consists of mitotane alone or combined with etoposide, doxorubicin, and cisplatin (EDP). Although both therapies are widely used, markers of response are still lacking. Since inflammation-based scores have been proposed as prognostic factors in ACC, we aimed to investigate their role in predicting the response to first-line chemotherapy. We performed a retrospective analysis of patients with advanced ACC treated with mitotane monotherapy or EDP ± mitotane. Clinical parameters (tumour stage at diagnosis, resection status, Ki67, time from diagnosis to treatment start, performance status, plasma mitotane levels, time in mitotane target ≥ 80%, clinically overt cortisol hypersecretion), and pretreatment inflammation-based scores (neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio, derived neutrophil-to-lymphocyte ratio) were investigated. The primary endpoints were overall survival (OS) and time-to-progression (TTP) from treatment initiation, the secondary endpoint was the best objective response to treatment. We included 90 patients (59% = women, median age = 51 years) treated with mitotane monotherapy (n = 40) or EDP ± mitotane (n = 50). In the mitotane monotherapy cohort, NLR ≥ 5 and PLR ≥ 190 predicted shorter OS (hazard ratio (HR): 145.83, 95% CI: 1.87-11,323.83; HR: 165.50, 95% CI: 1.76-15,538.04, respectively), remaining significant at multivariable analysis including clinical variables. NLR was also associated with shorter TTP (HR: 2.58, 95% CI: 1.28-5.20), but only at univariable analysis. Patients with NLR ≥ 5 showed a worse treatment response than those with NLR < 5 (P = 0.040). In the EDP ± mitotane cohort, NLR ≥ 5 predicted shorter OS (HR: 2.52, 95% CI: 1.30-4.88) and TTP (HR: 1.95, 95% CI: 1.04-3.66) at univariable analysis. In conclusion, inflammation-based scores, calculated from routinely measured parameters, may help predict response to chemotherapy in advanced ACC.

The Role of Serum Inflammation-Based Scores in Diagnosis and Assessing Remission in Cushing's Disease.

Chronic hypercortisolism causes diverse alterations in the immune system and inflammatory disruptions. Serum inflammation-based scores (SIBS) are indicators of systemic inflammatory status. This study aims to determine the role of SIBS in the diagnosis and evaluation of remission in patients with Cushing's disease (CD). This retrospective cross-sectional study was conducted on 195 participants; 52 patients diagnosed and followed up after treatment with CD, 65 patients with subclinical Cushing's syndrome (SCS), and 78 healthy individuals whose complete blood counts (CBC) were obtained for analysis. Participants with additional diseases or drug use that could affect CBC were excluded from the study. SIBS of the three groups were compared. Scores considered were neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII). The correlations between SIBS and initial diagnostic tests for hypercortisolism were analyzed. The SIBS of patients with CD at the diagnosis were compared with those after remission. In addition, receiver operator characteristic curve analyses were used to determine the diagnostic accuracy, specificity, and sensitivity of the scores significantly high in the CD group. MLR and SII values were significantly higher in CD patients than in the healthy group (p<0.01). NLR and SII were significantly higher in patients with CD than those with SCS (p<0.05). There were no significant differences between the SCS and the control groups in all SIBS. We determine significant, positive, and moderately correlated findings between SIBS and initial diagnostic tests for hypercortisolism in the CD group (0.30<r<0.70; p<0.05). All of the scores evaluated were significantly lower in the remission of the disease compared to the active period (p<0.001). An optimal cut-off MLR value of 0.20 showed the best diagnostic value (p=0.003; sensitivity, 78.4%; specificity, 51.4%), and an optimal cut-off SII value of 776.20 showed the best diagnostic value (p=0.017; sensitivity, 54.9%; specificity, 70.0%). The SIBS, which can be easily calculated with the data obtained from CBC and do not have additional costs, can contribute to the diagnosis and assessment of remission in patients with CD.

Preoperative serum inflammation-based scores in medullary thyroid cancer

IntroductionNeutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and systemic immune-inflammation index (SII) are prognostic factors in several tumours, though little is known in medullary thyroid cancer (MTC). ObjectiveTo evaluate the association between preoperative NLR, PLR and SII with MTC clinicopathological and molecular features, and their predictive value for lymph node and distant metastasis. MethodsWe retrospectively analysed 75 patients with MTC who underwent surgery at our institution. The familial form of MTC was found in 12% of patients. ResultsIn our cohort, 56% were females, the median age at diagnosis was 57 years (44–69), the median tumour diameter was 25mm (15–50); 21.3% were multifocal and 34.7% had extrathyroidal extension. Lymph node and distant metastasis were observed in 36 (48.0%) and 8 (10.7%) patients, respectively. Higher NLR was associated with preoperative calcitonin, angioinvasion, extrathyroidal extension, moderate/severe fibrosis; higher PLR was associated with extrathyroidal extension and advanced T stages; lower SII and NLR were associated with biochemical cure after surgery. Increased PLR, NLR and SII were associated with advanced MTC stages. In the univariate analysis, only NLR was associated with lymph node metastasis (odds ratio (OR)=2.69, 95% confidence interval (CI): 1.50–5.84; p=0.004); however, in the multivariate model, NLR was no longer a predictive factor for lymph node metastasis. None of these serum inflammatory markers predicted the occurrence of distant metastasis. ConclusionIn conclusion, NLR, PLR and SII are associated with aggressive MTC, but do not predict lymph node or distant metastasis.

Prognostic Role of Neutrophil-to-Lymphocyte Ratio (NLR), Lymphocyte-to-Monocyte Ratio (LMR), Platelet-to-Lymphocyte Ratio (PLR) and Lymphocyte-to-C Reactive Protein Ratio (LCR) in Patients with Hepatocellular Carcinoma (HCC) undergoing Chemoembolizations (TACE) of the Liver: The Unexplored Corner Linking Tumor Microenvironment, Biomarkers and Interventional Radiology

TACE plays a pivotal role in hepatocellular carcinoma, from disease control to downstaging and bridging to liver transplant. Response to TACE is a surrogate marker of tumor aggressive biology, with manifold practical implications such as survival, the need for more aggressive treatments in the intermediate stage, the selection of patients on the transplant waiting list, the dropout rate from the transplant list and the post-transplant recurrence rate. Inflammation-based scores are biomarkers of the relationship between the tumor stromal microenvironment and the immune response. Investigating the connection among the tumor stromal microenvironment, biomarkers, and the response to TACE is crucial to recognize TACE refractoriness/failure, thus providing patients with tailored therapeutics. This review aims to provide a comprehensive overview of the prognostic roles of the neutrophil-to-lymphocyte ratio (NLR), the lymphocyte-to-monocyte ratio (LMR), the platelet-to-lymphocyte ratio (PLR), and the lymphocyte-to-C reactive protein ratio (LCR) in patients with HCC undergoing chemoembolization of the liver. Inflammation-based scores may be convenient, easily obtained, low-cost, and reliable biomarkers with prognostic significance for HCC undergoing TACE. Baseline cut-off values differ between various studies, thus increasing confusion about using of inflammation-based scores in clinical practice. Further investigations should be conducted to establish the optimal cut-off values for inflammation-based scores, consolidating their use in clinical practice.

Development and Validation of Prognostic Nomograms for Hepatocellular Carcinoma After Hepatectomy Based on Inflammatory Markers.

The value of lactate dehydrogenase (LDH) compared with other inflammation-based scores in predicting the outcomes of hepatitis B virus (HBV)-related hepatocellular carcinoma (HCC) patients after curative resection remains unknown. This study aims to evaluate the predictive value of LDH and develop novel nomograms to predict postoperative recurrence and survival in these patients. This study retrospectively collected 1560 patients with HBV-related HCC who underwent curative resection from four institutions in China. In total, 924 patients were recruited from our center and randomly divided into the training cohort (n = 616) and internal validation (n = 308) cohorts. Additionally, 636 patients were selected from three other centers as the external validation cohort. The C index of inflammation-based scores was calculated and compared in the training cohort. Novel models were developed according to multivariable Cox regression analysis in the training cohort and validated in the internal and external validation cohorts. LDH showed a higher C-index than other inflammation-based scores for recurrence survival (RFS, 0.60, 95% CI, 0.58-0.61) and overall survival (OS, 0.65, 95% CI, 0.63-0.68). The nomograms of RFS and OS were developed based on tumor diameter, macrovascular invasion, AFP, operative hemorrhage, tumor differentiation, tumor number and LDH and achieved a high C-index (0.78, 95% CI, 0.76-0.79 and 0.81, 95% CI, 0.79-0.83), which were remarkably higher than the C-indexes of the five conventional HCC staging systems (0.52-0.62 for RFS and 0.53-0.67 for OS). The nomograms were validated in the internal validation cohort (0.77 for RFS, 0.78 for OS) and external validation cohort (0.80 for RFS, 0.81 for OS) and performed well-fitted calibration curves. The two nomograms based on inflammatory markers achieved optimal prediction for RFS and OS of patients with HBV-related HCC after hepatectomy.

The Glasgow Prognostic Score Predicts Survival Outcomes in Neuroendocrine Neoplasms of the Gastro-Entero-Pancreatic (GEP-NEN) System.

Across a variety of solid tumors, prognostic implications of nutritional and inflammation-based risk scores have been identified as a complementary resource of risk stratification. In this retrospective study, we performed a comparative analysis of several established risk scores and ratios, such as the Glasgow Prognostic Score (GPS), in neuroendocrine neoplasms of the gastro-entero-pancreatic (GEP-NEN) system with respect to their prognostic capabilities. Clinicopathological and treatment-related data for 102 GEP-NEN patients administered to the participating institutions between 2011 and 2021 were collected. Scores/ratios significantly associated with overall or progression-free survival (OS, PFS) upon univariate analysis were subsequently included in a Cox-proportional hazard model for the multivariate analysis. The median age was 62 years (range 18-95 years) and the median follow-up period spanned 51 months. Pancreatic or intestinal localization at the initial diagnosis were present in 41 (40.2%) and 44 (43.1%) cases, respectively. In 17 patients (16.7%), the primary manifestation could not be ascertained (NNUP; neuroendocrine neoplasms of unknown primary). Histological grading (HG) revealed 24/102 (23.5%) NET/NEC (poorly differentiated; high grade G3) and 78/102 (76.5%) NET (highly or moderately differentiated; low-high grade G1-G2). In total, 53/102 (51.9%) patients presented with metastatic disease (UICC IV), 11/102 (10.7%) patients presented with multifocal disease, and 56/102 (54.9%) patients underwent a primary surgical or endoscopic approach, whereas 28 (27.5%) patients received systemic cytoreductive treatment. The univariate analysis revealed the GPS and PI (prognostic index), as well as UICC-stage IV, HG, and the Charlson comorbidity index (CCI) to predict both the PFS and OS in GEP-NEN patients. However, the calculation of the survival did not separate GPS subgroups at lower risk (GPS 0 versus GPS 1). Upon the subsequent multivariate analysis, GPS was the only independent predictor of both OS (p &lt; 0.0001; HR = 3.459, 95% CI = 1.263-6.322) and PFS (p &lt; 0.003; HR = 2.119, 95% CI = 0.944-4.265). In line with previous results for other entities, the present study revealed the GPS at baseline to be the only independent predictor of survival across all stages of GEP-NEN, and thus supports its clinical utility for risk stratification in this group of patients.

Inflammation-Based Scores as Predictors of Treatment Response in Advanced Adrenocortical Carcinoma

Searchable abstracts of presentations at key conferences in endocrinology ISSN 1470-3947 (print) | ISSN 1479-6848 (online)

Evaluation of an inflammation-based score for identification of appropriate patients for comprehensive genomic profiling

Performance status (PS) is widely used as an assessment of general condition in patients before performing comprehensive genomic profiling (CGP). However, PS scoring is dependent on each physician, and there is no objective and universal indicator to identify appropriate patients for CGP. Overall, 263 patients were scored using the modified Glasgow prognostic score (mGPS) from 0 to 2 based on the combination of serum albumin and c-reactive protein (CRP): 0, albumin ≥ 3.5 g/dl and CRP ≤ 0.5 mg/dl; 1, albumin < 3.5 g/dl or CRP > 0.5 mg/dl; and 2, albumin < 3.5 g/dl and CRP > 0.5 mg/dl. Overall survival was compared between mGPS 0–1 and mGPS 2 groups. The prognosis of patients with PS 0–1 and mGPS 2 was also evaluated. Thirty-nine patients (14.8%) were mGPS 2. Patients with mGPS 2 had significant shorter survival (14.7 months vs 4.6 months, p < 0.01). Twenty-eight patients were PS 0–1 and mGPS 2, and their survival was also short (5.6 months). Evaluation of mGPS is a simple and useful method for identifying patients with adequate prognosis using CGP.

Colon inflammatory index as a useful prognostic marker after R0 resection in patients with colorectal cancer liver metastasis.

BackgroundAlthough R0 resection for colorectal cancer liver metastasis (CRLM) is a promising treatment with improved prognosis, the recurrence rate is still high. No prognostic markers have been reported after resection of CRLM. In this study, we investigated the association between inflammation-based score and prognosis after R0 resection in patients with CRLM.MethodsWe retrospectively investigated 90 patients who underwent R0 resection for CRLM between 2008 and 2018. We calculated colon inflammatory index (CII) (CII0, low risk; CII1, intermediate risk; and CII2, high risk), modified Glasgow prognostic score, prognostic nutritional index, and CRP-to-albumin ratio; and retrospectively assessed the relationship between these scores, the clinicopathological features, and prognosis.ResultsThe median follow-up period was 44 months (range, 2–101 months). Five-year relapse-free survival (RFS) (CII2; 12.5%, CII1; 14.5%, CII0; 42.9%) and 5-year overall survival (OS) (CII2; 32.4%, CII1; 25.4%, CII0; 57.7%) were significantly lower in the high CII groups (CII1–2) compared with the low CII group (CII0) (p = 0.021 and p = 0.006, respectively). CEA level was significantly higher in the high CII group than the low CII group (12.4 vs 7.3, p = 0.004). Multivariate analysis showed CII score as an independent predictor of RFS (hazard ratio 2.128, 95%CI 1.147–3.430, p = 0.015) and OS (hazard ratio 2.639, 95%CI 1.331–5.323, p = 0.005).ConclusionCII shows promise as a prognostic marker after R0 liver resection in patients with CRLM.

Inflammation-Based Scores Predict Responses to PD-1 Inhibitor Treatment in Intrahepatic Cholangiocarcinoma.

PurposeInflammatory response is related to tumor progression and patient survival. We aimed to clarify the prognostic value of the inflammation-based scores in intrahepatic cholangiocarcinoma (ICC) patients receiving anti-PD1 therapy.Patients and MethodsA total of 73 patients who received anti-PD-1 therapy from February 2019 to February 2021 were included in the study. Representative inflammation-based prognostic scores, including C-reactive protein (CRP), the platelet-to-lymphocyte ratio (PLR), neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-CRP ratio (LCR), lymphocyte-to-monocyte ratio (LMR), systemic immune inflammation index (SII), CRP-to-albumin ratio (CAR), prognostic nutritional index (PNI), Glasgow Prognostic Score (GPS), and prognostic index (PI), were assessed for prediction accuracy using Kaplan–Meier survival curves and time-dependent receiver operating characteristic (ROC). All the ten inflammation-based prognostic scores were measured before receiving anti-PD1 therapy.ResultsAll the ten inflammation-based prognostic scores showed good discriminatory ability in terms of overall survival (OS) (all P < 0.01), the higher the score, the worse the prognosis, while the CRP score was a remarkable independent predictor for OS in multivariate analysis (hazard ratio, 6.032; confidence interval, 2.467–14.752; P < 0.001). The area under the ROC curve at 6 months, 12 months, 18 months and 24 months consistently demonstrated that the predictive value of the CRP score was superior to other inflammation-based scores.ConclusionInflammation-based scores predict the efficacy of anti-PD-1 therapy in patients with ICC and CRP score superior to the other inflammation-based prognostic scores in terms of predictive ability.

Preoperative serum inflammation-based scores in medullary thyroid cancer

IntroductionNeutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and systemic immune-inflammation index (SII) are prognostic factors in several tumours, though little is known in medullary thyroid cancer (MTC). ObjectiveTo evaluate the association between preoperative NLR, PLR and SII with MTC clinicopathological and molecular features, and their predictive value for lymph node and distant metastasis. MethodsWe retrospectively analysed 75 patients with MTC who underwent surgery at our institution. The familial form of MTC was found in 12% of patients. ResultsIn our cohort, 56% were females, the median age at diagnosis was 57 years (44–69), the median tumour diameter was 25mm (15–50); 21.3% were multifocal and 34.7% had extrathyroidal extension. Lymph node and distant metastasis were observed in 36 (48.0%) and 8 (10.7%) patients, respectively. Higher NLR was associated with preoperative calcitonin, angioinvasion, extrathyroidal extension, moderate/severe fibrosis; higher PLR was associated with extrathyroidal extension and advanced T stages; lower SII and NLR were associated with biochemical cure after surgery. Increased PLR, NLR and SII were associated with advanced MTC stages. In the univariate analysis, only NLR was associated with lymph node metastasis (odds ratio (OR)=2.69, 95% confidence interval (CI): 1.50–5.84; p=0.004); however, in the multivariate model, NLR was no longer a predictive factor for lymph node metastasis. None of these serum inflammatory markers predicted the occurrence of distant metastasis. ConclusionIn conclusion, NLR, PLR and SII are associated with aggressive MTC, but do not predict lymph node or distant metastasis.

A Novel Inflammation-Based Risk Score Predicts Mortality in Acute Type A Aortic Dissection Surgery: The Additive Anti-inflammatory Action for Aortopathy and Arteriopathy Score.

ObjectiveTo develop an inflammation-based risk stratification tool for operative mortality in patients with acute type A aortic dissection.MethodsBetween January 1, 2016 and December 31, 2021, 3124 patients from Beijing Anzhen Hospital were included for derivation, 571 patients from the same hospital were included for internal validation, and 1319 patients from other 12 hospitals were included for external validation. The primary outcome was operative mortality according to the Society of Thoracic Surgeons criteria. Least absolute shrinkage and selection operator regression were used to identify clinical risk factors. A model was developed using different machine learning algorithms. The performance of the model was determined using the area under the receiver operating characteristic curve (AUC) for discrimination, calibration curves, and Brier score for calibration. The final model (5A score) was tested with respect to the existing clinical scores.ResultsExtreme gradient boosting was selected for model training (5A score) using 12 variables for prediction—the ratio of platelet to leukocyte count, creatinine level, age, hemoglobin level, prior cardiac surgery, extent of dissection extension, cerebral perfusion, aortic regurgitation, sex, pericardial effusion, shock, and coronary perfusion—which yields the highest AUC (0.873 [95% confidence interval (CI) 0.845-0.901]). The AUC of 5A score was 0.875 (95% CI 0.814-0.936), 0.845 (95% CI 0.811-0.878), and 0.852 (95% CI 0.821-0.883) in the internal, external, and total cohort, respectively, which outperformed the best existing risk score (German Registry for Acute Type A Aortic Dissection score AUC 0.709 [95% CI 0.669-0.749]).ConclusionThe 5A score is a novel, internally and externally validated inflammation-based tool for risk stratification of patients before surgical repair, potentially advancing individualized treatment.Trial Registrationclinicaltrials.gov Identifier: NCT04918108

Comparison of liver function test- and inflammation-based prognostic scores for coronavirus disease 2019: a single center study.

Although several liver- and inflammation-based scores to predict the clinical course of patients with coronavirus disease 2019 (COVID-19) have been evaluated, no direct comparison regarding their predictive ability has been performed. 1038 patients (608 males, age 63.5 ± 17 years) hospitalized with documented COVID-19 infection to the non-ICU ward, were included retrospectively. Clinical and laboratory characteristics on admission including evaluation of Fibrosis-4 (FIB-4) score and C-Reactive Protein (CRP) to albumin ratio (CAR) were recorded. One hundred and twenty-four patients (11.9%) died during hospitalization after 8 (3-72) days. In multivariate analysis, FIB-4 (hazard ratio, 1.11; 95% confidence interval (CI), 1.034-1.19; P = 0.004), was independently associated with mortality, with very good discriminative ability (area under the receiver operating characteristic curve curve, 0.76). The patients with FIB-4 &amp;gt;2.67 (n = 377), compared to those with ≤2.67 (n = 661), had worse survival (log-rank 32.6; P &amp;lt; 0.001). Twenty-four (6.8%) of 352 patients with possible nonalcoholic fatty liver disease (NAFLD) (defined as Hepatic Steatosis Index &amp;gt;36) died during hospitalization. In multivariate analysis, CAR was an independent risk factor (1) for mortality (hazard ratio, 1.014; 95% CI, 1.002-1.025; P = 0.021), (2) the need for high-flow nasal cannula with or without intubation (hazard ratio, 1.016; 95% CI, 1.004-1.027; P = 0.007) and (3) development of acute kidney injury (hazard ratio, 1.017; 95% CI, 1.006-1.028; P = 0.002). In addition, the patients with possible NAFLD and CAR &amp;gt;12 (n = 154), compared to those with CAR ≤12 (n = 198), had worse survival (log-rank 5.1; P = 0.024). FIB-4 was an independent factor for mortality with better performance compared to other liver function test- and inflammation-based scores in patients with COVID-19, while CAR was the only score independently associated with the clinical course in COVID-19 patients with possible NAFLD.

Anesthetic and analgesic techniques and perioperative inflammation may affect the timing of recurrence after complete resection for non-small-cell lung cancer.

IntroductionIt has been widely recognized that both surgery and anesthesia may increase the risk of cancer recurrence by inducing an inflammatory response and immunosuppression in various cancer operations. The present study explored using hazard curves how anesthetic and analgesic techniques regarding the host inflammation status affect the risk of recurrence over time in patients with non-small-cell lung cancer (NSCLC).Material and MethodsClinicopathological data from patients who underwent complete pulmonary resection with pathological I–IIIB stage NSCLC from 2010 to 2020 were collected. The inflammation-based scores, including the C-reactive protein-to-albumin ratio (CAR), systemic immune-inflammation index (SII), Glasgow prognostic score (GPS), and modified GPS (mGPS), were calculated before surgery, and hazard curves indicating the changes in hazards over time were evaluated.ResultsA total of 396 patients were eligible for the analysis. The median follow-up was 42.3 months. In total, 118 patients (29.8%) experienced recurrence, and 66.9% of those occurred within 24 months after surgery. According to the multivariate Cox regression analysis, volatile anesthesia (VA) (hazard ratio [HR], 1.69; 95% confidence interval [CI], 1.05–2.71), and elevated CAR (HR, 1.88; 95% CI, 1.18–2.99) were associated with a worse recurrence-free survival. The resulting hazard curve revealed that a delayed peak of recurrence was present in patients with a low CAR in the VA group and in those with intravenous flurbiprofen axetil administration in the propofol-based total intravenous anesthesia group (30 and 24 months after surgery, respectively).DiscussionChoosing anesthetic and analgesic techniques while taking inflammation-based scores into account may be useful for reducing the risk of and/or delaying recurrence in patients undergoing resection for NSCLC.

Comparison Between Preoperative Inflammation Based Scores and TNM Staging in Patients with Oral Cancer

Abstract Background: India, one of the countries with the highest incidence of oral cancer, accounting for 30% of all new oral cancer cases in the world. Therefore, strong diagnostic markers are critical for the diagnosis and survival of patients suffering from oral cancer. Based on this relationship between inflammation and cancer progression, several inflammation-based scores have been demonstrated to have diagnostic and prognostic value in many types of malignant solid tumours. Objective: To compare the correlation between systemic inflammation based prognostic scores and tumour node metastasis (TNM) stage in patients undergoing oral cancer treatment. Methods: The inflammation-based scores were calculated for 120 patients with oral squamous cell carcinoma divided into four groups based on TNM staging. Neutrophil lymphocyte ratio (NLR), platelet lymphocyte ratio (PLR), tumour size, nodes involved were analysed. Statistics were performed to compare the diagnostic value of the selected scores and TNM stage. Results: This current study compares 30 patients in each stage of TNM stages 1,2,3 and 4. The mean tumour size is 1.8 x 1.41, 3.23x2.28, 2.85x2.43 and 3.78x 3.06 in stage 1,2,3 and 4 respectively. The largest lymph node measurable was 1.33x1.36 in stage 3 and 1.84x 1.38 in stage 4. The number of lymph nodes involved in stage 3 are 1.1 and 2.82 in stage 4. The mean NLR in stage 1,2,3 and 4 were 2.68, 2.72, 3.17 and 3.68 respectively. The mean PLR in stage 1, 2,3 and 4 were 106.4, 117.8, 108.2 and 182.2 respectively. Conclusion: The present study indicates that elevated NLR and PLR values are associated with advanced stages of TNM staging for Oral squamous cell carcinoma.

Epidemiology and blood parameter changes in Cushing's syndrome - a population-based study.

To provide complete epidemiological data on Cushing's syndrome (CS) with analysis and differentiation of biochemical parameters, including blood count indices and serum inflammation-based scores. Clinical records of 35 patients diagnosed with CS between 2008 and 2020 at Malta's only central National Health Service hospital were retrospectively analyzed. Detailed clinical and biochemical data were obtained for each patient. Correlation and receiver operator characteristics (ROC) curve analyses were used to establish a threshold value for different variables to predict malignant CS. Standardized incidence rate (SIR) (/million/year) of CS was 4.5, and SIR of Cushing's disease (CD) was 2.3, 0.5 for ectopic CS, 1.5 for cortisol secreting adrenal adenoma, and 0.3 cases for cortisol-producing ACC. Malignant cause of CS had statistically significantly higher cortisol levels and size of tumor and lower potassium at diagnosis (P < 0.001). Additionally, malignant causes had a higher neutrophil-to-lymphocyte ratio (NLR) (P = 0.001) and systemic immune inflammation index (P = 0.005) and a lower lymphocyte-to-monocyte ratio (P < 0.001). Using ROC curve analysis to predict malignant cause of CS, a potassium level of < 3.05 was 75% sensitive and 100% specific (ROC-AUC 0.907, P = 0.001), a post-ODST cortisol level of > 841nmol/L was 100% sensitive and 91% specific (ROC-AUC 0.981, P < 0.001), while a NLR ratio > 3.9 was 100% sensitive and 57.7% specific (ROC-AUC 0.885, P = 0.001). Biochemical and blood count indices and serum inflammatory-based scores differ remarkably between benign and malignant causes of endogenous CS. Such indices can help predict the severity of disease and prognosis.

Can We Predict a Higher Risk of Urothelial Bladder Cancer With a Simple Blood Test?

The COVID-19 pandemic highlighted the need to develop tools prioritizing high risk patients for urgent evaluation. Our objective was to determine whether Glasgow Prognostic Score (GPS), an inflammation-based score, can predict higher grade and stage urothelial bladder cancer in patients with gross hematuria who need urgent evaluation. We analyzed a database of 129 consecutive patients presenting with gross hematuria. GPS was calculated using pretreatment C-reactive protein (CRP) and albumin levels. Patients with bacteriuria or other known malignancies were excluded. The relationship between GPS and final diagnosis was analyzed with multivariate logistic regression. A total of 101 patients were included in the study and 24 patients were identified without any pathology and 77 with a bladder tumor. Pathology demonstrated 21 with muscle invasive, 18 with high grade non-muscle invasive, and 38 with low grade superficial bladder cancer. Twenty-six of 39 (67%) patients with high grade tumors had a GPS of 1 or 2 compared to only 8 out of 62 (13%) patients with either low grade or negative findings (p<0.0001). Ten of 21 (48%) patients with muscle invasive disease had a GPS of 2 compared to 1 out of 18 (6%) with high grade non muscle invasive tumors (p=0.04). On multivariate analysis, GPS was a strong independent predictor of high grade and stage bladder cancer. GPS may serve as a highly accessible predictor of high grade, high stage, and large urothelial bladder tumors at the time of initial evaluation and can help identify patients who need urgent evaluation.

Comparison of inflammation-based parameters and MELD-XI score with 4C mortality score in predicting in-hospital mortality in COVID-19

Purpose: In this study, we compared the roles of inflammatory parameters such as neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), C-reactive protein/lymphocyte ratio (CLR), monocyte/lymphocyte ratio (MLR), neutrophil/platelet ratio (NPR), neutrophil/monocyte ratio (NMR), CRP/albumin ratio (CAR), BUN/albumin ratio (BAR), MELD-XI score and 4C mortality score in predicting in-hospital mortality risk in COVID-19.&#x0D; Materials and Methods: A total of 117 patients over 18 years old with a PCR-confirmed diagnosis of COVID-19 between June 2020 and February 2021 were retrospectively included. The roles of parameters for independently predicting in-hospital mortality were determined and compared with each other using appropriate statistical methods.&#x0D; Results: Age, chronic kidney disease, diabetes mellitus, acute kidney injury, and length of hospital stay, urea, creatinine, LDH, AST, ferritin, D-dimer, CRP, albumin, Hb, CLR, BAR, CAR, MELD-XI score, and 4C mortality score were significantly correlated to in-hospital mortality. However, only the 4C mortality score and AST independently predicted in-hospital mortality in COVID-19 [OR 2.08 (%95 CI 1.06-2.36), for 4C mortality score, and OR 1.05 (%95 CI 1.00-1.10), for AST].&#x0D; Conclusion: Unlike other mortality-related inflammatory parameters, the 4C mortality score and AST were independent and strong predictors of mortality in hospitalized COVID-19 patients.

Inflammation-based modified Glasgow prognostic score and renal outcome in chronic kidney disease patients: is there a relationship?

Chronic kidney disease (CKD) progression is presumably related to inflammatory response. The modified Glasgow prognostic score (mGPS), based on a combination of albumin and C-reactive protein, has been derived from oncology and validated in multiple diseases. To evaluate the relationship between the mGPS and CKD progression. The present retrospective unicentric cohort study included 547 CKD patients (age 60.2 years; 53% male; estimated glomerular filtration (eGFR) 42.0 mL/min; mean change -2 mL/min/year) admitted between 1 January 2007 and 31 December 2012. Patients' records were reviewed from the CKD diagnosis to one of the four outcomes: end-stage kidney disease (ESKD), death, loss to follow up or until 31 July 2017. The mGPS score was 0 for 420 (78%), 1 for 110 (19%) and 2 for 17 (3%) patients. More patients with rapid CKD progression were found in the group with the highest mGPS (P = 0.05). mGPS was negatively correlated with baseline eGFR and positively with albuminuria. In the multivariate analysis, mGPS was associated with the eGFR slope. During the study period, 130 (24%) patients died and 109 (20%) reached ESKD. The mean kidney survival time was 8.1 (95% confidence interval 7.9-8.4) years. Patients with zero mGPS had better kidney survival than those with the score of 1 and 2 (Kaplan-Meier, P = 0.02). However, the kidney survival differences were not present after adjusting for CKD progression risk factors. The inflammation-based mGPS score was associated with eGFR decline in CKD patients. Therefore, could prove useful in improving risk stratification of CKD patients.