Evaluation of preoperative blood markers for predicting intra-abdominal infection during colorectal cancer resection: A commentary on recent findings

Colorectal cancer (CRC) has one of the highest morbidity and mortality rates among digestive tract tumors. Intra-abdominal infection (IAI) is a common postoperative complication that affects the clinical outcomes of patients with CRC and hinders their rehabilitation process. However, the factors influencing abdominal infection after CRC surgery remain unclear; further, prediction models are rarely used to analyze preoperative laboratory indicators and postoperative complications. To explore the predictive value of preoperative blood markers for IAI after radical resection of CRC. The data of 80 patients who underwent radical resection of CRC in the Anorectal Surgery Department of Suzhou Hospital affiliated with Anhui Medical University were analyzed. These patients were categorized into IAI (n = 15) and non-IAI groups (n = 65) based on whether IAI occurred. Influencing factors were compared; general data and laboratory indices of both groups were identified. The relationship between the indicators was assessed. Further, a nomogram prediction model was developed and evaluated; its utility and clinical applicability were assessed. The risk factors for IAI after radical resection of CRC were neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), systemic immune-inflammation index (SII), and carcinoembryonic antigen (CEA) levels. NLR was correlated with PLR and SII (r = 0.604, 0.925, and 0.305, respectively), while PLR was correlated with SII (r = 0.787). The nomogram prediction model demonstrated an area under the curve of 0.968 [95% confidence interval (CI): 0.948-0.988] in the training set (n = 60) and 0.926 (95%CI: 0.906-0.980) in the validation set (n = 20). The average absolute errors of the calibration curves for the training and validation sets were 0.032 and 0.048, respectively, indicating a good model fit. The decision curve analysis curves demonstrated high net income above the 5% threshold, indicating the clinical practicality of the model. The nomogram model constructed using NLR, PLR, SII, and CEA levels had good accuracy and reliability in predicting IAI after radical resection of CRC, potentially aiding clinical treatment decision-making.

We aimed to investigate the associations between inflammatory immune indicators, specifically systemic immune inflammation index (SII), platelet-to-lymphocyte ratio (PLR) and the coagulopathy and prognosis of traumatic brain injury (TBI) patients in ICU. One hundred sixty-one TBI patients were grouped into four groups. The outcomes included TBI-related coagulopathy and prognosis at six months after discharge. The association between SII, PLR and coagulopathy, and prognosis in TBI patients was elucidated by applying trend analysis, sensibility analysis, spearman correlation, restricted cubic splines and so on. Sixty-four (39.75%) of 161 TBI patients were diagnosed with coagulopathy. In the unadjusted model, TBI patients in the lowest quarter of SII (≤966.60) and PLR levels (≤97.99) had a higher risk of coagulopathy than those in the highest quarter of SII (≥3096.16) [OR 0.169 (95% CI 0.052-0.547)] and PLR (≥255.39) [OR 0.098 (95% CI 0.028-0.340)]. After adjusting for covariates, the significant negative associations of results remained consistent in the sensitivity analyses. Restricted cubic splines revealed that an almost linear relationship between SII, PLR and coagulopathy risk and poor prognosis (P for all nonlinearities > 0.05). Finally, receiver operating characteristic (ROC) curves indicated that the SII and PLR had certain diagnostic and predictive values for TBI-related coagulopathy [AUC(SII) = 0.666 (95% CI 0.566-0.766), AUC(PLR) = 0.752 (95% CI 0.662-0.842)] and prognosis [AUC(SII) = 0.657 (95% CI 0.548-0.766), AUC(PLR) = 0.700 (95% CI 0.596-0.805)]. The stratification of isolated TBI and TBI with multi-trauma does not affect SII and PLR in predicting TBI-related coagulopathy and poor prognosis in the subgroup analysis (P > 0.05). This study demonstrated that the SII and PLR had a significant correlation with coagulopathy risk and prognosis at 6 months after discharge. SII and PLR were predictive of coagulopathy and poor prognosis, specifically PLR value. It suggests that the SII and PLR might be promising biomarkers for predicting TBI-related coagulopathy and prognosis. The study was registered in the ethics committee of the Third Affiliated Hospital of Southern Medical University (2024-ER-005).

BackgroundDue to the infrequency of non-clear cell renal cell carcinoma (RCC), there is currently a paucity of high-quality literature to help guide the effective treatment of these tumors. Recently, biomarkers such as platelet to lymphocyte ratio (PLR), lymphocyte to monocyte ratio (LMR), systemic immune inflammation (SII) index and C-reactive protein to albumin ratio (CAR) have been demonstrated to be closely related to poor prognosis of patients with RCC. The objective of this study was to evaluate these biomarkers for determining the progression-free survival (PFS) and overall survival (OS) in patients with metastatic non-clear cell cancer.MethodsWe retrospectively reviewed 31 cases diagnosed with metastatic non-clear cell RCC from January 2012 to December 2017. We assessed the prognostic value (OS and PFS) of pretreatment PLR, LMR, SII index and CAR based on multivariate analysis and Kaplan-Meier survival curve.ResultsMedian time of OS and PFS were 15.5 months (95% confidence interval (CI): 13.7 - 15.2) and 10.9 months (95% CI: 8.9 - 12.8), respectively. The median PFS (0.001) and OS (P = 0.01) was shorter in patients with PLR > 171, LMR < 2.61. Moreover, median PFS but not OS was significantly lower in SII index > 883 (P = 0.064) and CAR > 0.11 (P = 0.229). Scan to surgery time (3.91 weeks, P = 0.001) was also significantly related to progression.ConclusionsElevated pretreatment inflammatory biomarkers such as PLR, LMR, SII index and CAR are significant determinants of shorter PFS and OS (PLR and LMR only) in patients with metastatic non-clear cell RCC treated with cytoreductive nephrectomy.

ObjectiveIn recent years, an increasing number of studies have revealed that patients’ preoperative inflammatory response, coagulation function, and nutritional status are all linked to the occurrence, development, angiogenesis, and metastasis of various malignant tumors. The goal of this study is to determine the relationship between preoperative peripheral blood neutrophil to lymphocyte ratio (NLR), monocyte to lymphocyte ratio (MLR), systemic immune-inflammatory index (SII), platelet to lymphocyte ratio (PLR), and platelet to fibrinogen ratio (FPR). Prognostic nutritional index (PNI) and the prognosis of glioblastoma multiforme (GBM) patients, as well as establish a forest prediction model that includes preoperative hematological markers to predict the individual GBM patient’s 3-year survival status after treatment.MethodsThe clinical and hematological data of 281 GBM patients were analyzed retrospectively; overall survival (OS) was the primary endpoint. X-Tile software was used to determine the best cut-off values for NLR, SII, and PLR, and the survival analysis was carried out by the Kaplan–Meier method as well as univariate and multivariate COX regression. Afterward, we created a random forest model that predicts the individual GBM patient’s 3-year survival status after treatment, and the area under the curve (AUC) is used to validate the model’s effectiveness.ResultsThe best cut-off values for NLR, SII, and PLR in GBM patients’ preoperative peripheral blood were 2.12, 537.50, and 93.5 respectively. The Kaplan–Meier method revealed that preoperative GBM patients with high SII, high NLR, and high PLR had shorter overall survival, and the difference was statistically significant. In addition to clinical and pathological factors. Univariate Cox showed NLR (HR = 1.456, 95% CI: 1.286 ~ 1.649, P < 0.001) MLR (HR = 1.272, 95% CI: 1.120 ~ 1.649, P < 0.001), FPR (HR = 1.183,95% CI: 1.049 ~ 1.333, P < 0.001), SII (HR = 0.218,95% CI: 1.645 ~ 2.127, P < 0.001) is related to the prognosis and overall survival of GBM. Multivariate Cox proportional hazard regression showed that SII (HR = 1.641, 95% CI: 1.430 ~ 1.884, P < 0.001) is also related to the overall survival of patients with GBM. In the random forest prognostic model with preoperative hematologic markers, the AUC in the test set and the validation set was 0.907 and 0.900, respectively.ConclusionHigh levels of NLR, MLR, PLR, FPR, and SII before surgery are prognostic risk factors for GBM patients. A high preoperative SII level is an independent risk factor for GBM prognosis. The random forest model that includes preoperative hematological markers has the potential to predict the individual GBM patient’s 3-year survival status after treatment,and assist the clinicians for making a good clinical decision.

Objective: To investigate the predictive value of platelet-to-lymphocyte ratio (PLR), red blood cell distribution width to platelet count ratio (RPR) and systemic immune inflammation index (SII) in the staging and postoperative recurrence of ovarian endometrial cysts. Methods: Retrospective analysis was made on the clinical data of patients who underwent laparoscopic surgery for ovarian cysts in the Affiliated Hospital of Qingdao University from January 2018 to January 2020. The patients with ovarian endometriosis cyst confirmed by pathology after surgery were the observation group (n=350), and the patients with other benign ovarian cyst were the control group (n=150). The preoperative platelet count, platelet distribution width, absolute number of neutrophils, lymphocyte absolute number, absolute number of monocytes, red blood cell distribution width, and serum cancer antigen 125 (CA125) of the patients in two groups were recorded, and PLR, neutrophil-to-lymphocyte ratio (NLR), RPR, SII, and systemic inflammation response index (SIRI) were calculated and analyzed. The general data of all patients and the follow-up data within 2 years after the operation of the observation group were statistically recorded to evaluate the diagnostic value of PLR, RPR and SII for ovarian endometrial cyst, and the predictive value of staging and recurrence within 2 years after the operation. Results: PLR, NLR, SII (median: 147.53, 1.86, and 488.70 respectively) and CA125 (median: 59.41 kU/L) in the observation group were significantly higher than those in the control group, while RPR (median: 0.16) was lower than that in the control group, with significant differences (all P<0.01). There was no significant difference in SIRI between the two groups (P>0.05). The PLR and SII (median: 122.73, 345.00) of the observation group at stage Ⅲ and Ⅳ were higher than those of patients at stage Ⅰ and Ⅱ, and the RPR was lower than that of patients with stage Ⅰ and Ⅱ, with significant differences (all P<0.001). The PLR, NLR, SII, SIRI (median: 179.63, 2.75, 762.96, and 1.06 respectively) and CA125 (median: 108.83 kU/L) in patients with recurrence were significantly higher than those in patients without recurrence 2 years after the operation, and the differences were statistically significant (all P<0.001). The area under curve (AUC) of CA125 in the diagnosis of ovarian endometriosis cyst was 0.951, the sensitivity was 85.7%, and the specificity was 93.0%, which were higher than those of PLR and SII; the AUC of PLR+SII+CA125 in the diagnosis of ovarian endometriosis cyst was 0.952. The AUC of RPR predicting the stage of ovarian endometriosis cyst was 0.713, higher than PLR and SII, lower than CA125; the AUC of RPR+SII+CA125 in predicting the stage of ovarian endometriotic cyst was 0.825, with sensitivity of 68.7% and specificity of 85.7%. The AUC predicted by SII for recurrence of ovarian endometriotic cyst within 2 years after the operation was 0.803, higher than NLR, PLR, SIRI and CA125; the AUC of PLR+SII+CA125, sensitivity, specificity was 0.813, 81.5% and 73.0%, higher than SII. Conclusion: PLR, RPR and SII are related to the staging of ovarian endometriotic cyst, and SII has a certain predictive value for the recurrence of ovarian endometriotic cyst after surgery.

Objective: The study aimed to evaluate whether there is a relationship between the preoperative values of the platelet lymphocyte ratio (PLR), the neutrophil lymphocyte ratio (NLR), and systemic immune inflammation (SII) index and the development of systemic inflammatory response syndrome (SIRS) in patients undergoing retrograde intrarenal surgery (RIRS) for kidney stones. Material and Methods: Demographic and laboratory data of patients who underwent RIRS were collected. NLR, PLR, and SII indices were obtained from the complete blood count parameters. Stone characteristics were obtained from preoperative non-contrast computed tomography. Univariate and multivariate analyses were performed to identify risk factors of SIRS. Results: SIRS was detected in 27 (3.6%) of 748 patients included in the study. Stone volume, Hb level, operation time, and SII index were independent risk factors in predicting SIRS. The established threshold for predicting SIRS based on stone volume is 1589 mm³, demonstrating a sensitivity of 88.9%, specificity of 70.0%, and an area under the curve (AUC) of 0.863. The hemoglobin level cut-off is 14.9 g/dl, with a sensitivity of 96.3%, specificity of 56.0%, and AUC of 0.198. The SII index threshold is 703, yielding a sensitivity of 81.5%, specificity of 73.5%, and AUC of 0.820. The operation time cut-off is 62.5 minutes, showing a sensitivity of 88.3%, specificity of 93.3%, and AUC of 0.967. Conclusion: The SII index appears to be an independent, easily accessible, and cost-effective predictor for SIRS following RIRS. Keywords: renal stones, retrograde intrarenal surgery, SII index, SIRS

Objective: To explore the value of preoperative peripheral blood inflammatory biomarkers for predicting the prognosis of intrahepatic cholangiocarcinoma (ICC) after radical resection. Methods: A total of 124 patients who underwent radical resection for ICC in the First Affiliated Hospital of Xi'an Jiaotong University from January 2010 to December 2018 were retrospectively analyzed. Receiver operating characteristic (ROC) curve was conducted to determine the best cut-off values of neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), lymphocyte/monocyte ratio (LMR), systemic immune inflammatory index (SII), and systemic inflammatory response index (SIRI). Univariate and multivariate analyses of prognostic factors were performed using Cox proportional hazards regression model. Based on the independent prognostic factors screened by multivariate Cox regression analysis, a nomogram model of overall survival prediction for ICC patients after radical resection was established. Results: Among the 124 patients, 87 patients died and 37 patients survived during the follow-up period. The median overall survival time of the whole patients was 21 months. ROC curve analysis showed that the areas under the curve (AUC) of NLR, PLR, LMR, SII and SIRI for predicting the overall survival of ICC patients after radical resection were 57.86%, 64.21%, 60.61%, 67.57% and 66.03%, respectively. Univariate Cox regression analysis showed that the inflammatory biomarkers of NLR, PLR, SII, and SIRI were associated with overall survival of ICC after radical resection (HR=1.787, 95%CI: 1.165-2.741; HR=1.181, 95% CI: 1.224-2.892; HR=2.412, 95% CI: 1.565-3.717; HR=1.648, 95% CI: 1.081-2.513). Multivariate Cox regression analysis showed that the inflammatory biomarker of SII was an independent prognostic factor of ICC after radical resection (HR=1.863, 95% CI: 1.161-2.989). According to the best cut-off value of SII to predict the overall survival of ICC patients after radical resection (709.86×10(9)/L), the patients were divided into low SII group (SII≤709.86×10(9)/L) and high SII group (SII>709.86×10(9)/L). In the high SII group, the proportions of NLR>3.31, PLR>3.31, SIRI>1.30×10(9)/L, carbohydrate antigen 19-9>39.0 U/ml, Child-Pugh liver function (grade B), hemi-hepatic/extended hepatectomy, combined perineural invasion, N1 stage and TNM stage (ⅢB) were higher than those in the low SII group (P<0.05). Based on the independent prognostic factors screened by multivariate Cox regression analysis, a nomogram model of overall survival prediction for ICC after radical resection was established, the C-index values of the training set and testing set were 0.774 and 0.737, respectively. Conclusions: Preoperative peripheral blood inflammatory marker SII is an independent risk factor for the prognosis of intrahepatic cholangiocarcinoma patients after radical resection. The nomogram model of overall survival prediction established that included SII has a good predictive ability and can be used to evaluate the prognosis of intrahepatic cholangiocarcinoma patients after radical resection.

To evaluate the systemic immune-inflammation (SII) index in patients with rheumatoid arthritis (RA) stratified by systemic inflammatory status. Seropositive patients with RA (n=58) were divided into two groups based on serum hs-C-reactive protein (hs-CRP) levels: RA patients with hs-CRP levels of at or 3 mg/L or above (high systemic inflammatory status; n=38) and RA patients with hs-CRP levels of less than 3 mg/L (low systemic inflammatory status; n=20). The control group comprised 31 healthy individuals. Blood samples were tested for the next parameters: leukocytes, neutrophilic granulocytes, lymphocytes, thrombocytes [platelet (PLT)], high-sensitivity hs-CRP, sed rate [erythrocyte sedimentation rate (ESR)], neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and monocyte-to-lymphocyte ratio (MLR). The SII index was derived as Neu x PLT/Lym. In patients with RA, the SII index was elevated compared with that of healthy individuals and positively correlated with hs-CRP, erythrocyte sedimentation rate, NLR, MLR, PLR, tender joint count, and swollen-to-tender joint count ratio. Patients with RA who had hs-CRP levels of 3 mg/L above exhibited a statistically significant increase in the SII compared with those with hs-CRP levels below 3 mg/L. Additionally, within the cohort of RA patients with hs-CRP levels at or above 3 mg/L, a positive correlation was found between the SII index and both NLR and PLR. The SII index was positively correlated with NLR, MLR, and PLR in RA patients with hs-CRP levels below 3 mg/L. The cut-off point of the SII index for distinguishing between RA cases with hs-CRP levels 3 mg/L and those with hs-CRP levels 3 mg/L or higher was ≥323.4, with a sensitivity of 77.6% and a specificity of 54.8%. The serum SII index can be a potentially useful marker for evaluating the inflammatory process and clinical progression of RA.

ObjectiveSystemic immune-inflammation index (SII) is a new systemic inflammatory prognostic indicator associated with outcomes in patients with different tumors. Studies have shown an association between SII and many chronic/acute inflammatory diseases. This study aimed at exploring whether SII can be used as an effective parameter for predicting the severity of acute pancreatitis (AP).MethodsA total of 101 acute pancreatitis patients were enrolled in this study (mild acute pancreatitis (MAP): n = 73 and severe acute pancreatitis (SAP): n = 28). Patient demographics and SII were analyzed using the chi-square test, Student’s t-test, and Mann–Whitney U-test. A receiver operating characteristic curve was generated to test the potential of using neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), and SII to predict AP’s severity. Logistic regression analysis was performed to determine major risk factors.ResultsPatients with SII value ≥2207.53 had a higher probability of having SAP (sensitivity = 92.9%, specificity = 87.7%, and AUC = 0.920), and SII was a significantly better predictive value than PLR and NLR. Logistic regression analysis results showed SII could differentiate MAP from SAP as a major risk factor.ConclusionThis study has shown that SII is a potential indicator for predicting the severity of acute pancreatitis. The findings suggested that SII is more sensitive and specific than NLR and PLR in predicting the severity of acute pancreatitis.

Hidradenitis suppurativa (HS) is associated with increased cardiovascular disease (CVD) risk. Systemic immune inflammation index (SII), neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR) and monocyte/lymphocyte ratio (MLR) are biomarkers of systemic inflammation and CVD. One small study identified a lower NLR and PLR in patients treated with adalimumab (ADA). To assess changes in SII, NLR, PLR and MLR in a larger cohort and to evaluate their association with disease severity and treatment response. This was a post hoc analysis of PIONEER I (ClinicalTrials.gov ID: NCT01468207) and PIONEER II (ClinicalTrials.gov ID: NCT01468233), two phase III randomized placebo-controlled clinical trials of ADA for HS. SII, NLR, PLR and MLR were log10-transformed and a linear mixed model was used to estimate the treatment effect. SII, NLR, PLR and MLR decreased from baseline levels with ADA treatment by week 12, when the primary response endpoint was assessed. Significant changes first appeared at week 4 and were maintained to week 36. In contrast, no significant changes were observed in placebo-treated patients. In patients re-randomized at week 12 from placebo to ADA, SII, NLR, PLR and MLR also reduced within 4 weeks. In patients re-randomized from ADA to placebo, these biomarkers returned to baseline by week 36. In addition, SII, NLR and PLR correlated with draining fistula count (r = 0.26-0.43, P < 0.001). ADA nonresponders in PIONEER I had a higher SII, NLR and PLR at baseline and week 12, but this change did not achieve statistical significance when draining fistulae were adjusted for. Treatment of patients with HS with ADA resulted in rapid sustained reduction in systemic inflammation, measured by the biomarkers SII, NLR, PLR and MLR, which correlate with CVD risk. SII, NLR and PLR may predict ADA response, although this may be dependent on their interaction with the number of draining fistulae.

Aim: To determine the value of neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), lymphocyte-monocyte ratio (LMR), systemic immune-inflammation (SII) index and De-Ritis ratio, which are among preoperative whole blood and biochemical parameters, in the diagnosis of testicular tumor. Materials and Methods: The data of patients who underwent inguinal orchiectomy for testicular tumor in our clinic between October 2010 and December 2019 and patients who underwent varicocelectomy, as a control group, were retrospectively analyzed. Patients with missing data, under 18 years of age or with additional morbidity were excluded from the present study. Prediction values for NLR, PLR, LMR, SII index and De-Ritis ratio were determined and the value of these parameters in the diagnosis of testicular tumor was examined. Results: Thirty-four (14.1%) patients underwent inguinal orchiectomy while 207 (85.9%) patients underwent varicocelectomy in the present study. The median age of the patients during surgery was 27 (23-32) years. The number of patients with seminoma, mixt germ cell tumor, yolk sac tumor and embryonal carcinoma was 18 (52.9%), 12 (35.3%), 3 (8.8%) and 1 (2.9%), respectively. It was determined that 61.8% of the patients with testicular tumors were in the T2 stage and 35.3% had metastasis. The cut-off values for NLR, PLR, LMR and SII index were determined as 1.76, 133.43, 7.81 and 571.63, respectively. There was no statistically significant cut-off value for De-Ritis ratio (p = 0.183). The only significant factor for predicting testicular tumor was SII index in multivariate analysis (p &amp;lt;0.001). Conclusion: SII index is a predictive factor that can be used in the diagnosis of testicular tumor.

The aim of this study was to assess the role of immunocyte-derived ratios (IDRs), such as the systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and lymphocyte-to-monocyte ratio (LMR), as markers for the postoperative recovery of gastrointestinal function following colorectal cancer surgery. A retrospective analysis was conducted on a consecutive cohort of 260 patients who underwent radical colorectal cancer surgery within the timeframe spanning from January 2016 to December 2022. Data concerning the postoperative recovery of gastrointestinal function included the I-FEED score, time to pass flatus, toleration for liquids in the first 48 h, and the need for nasogastric tube reinsertion in the immediate postoperative period. A special emphasis was allocated towards the examination of IDRs and their interrelation with the postoperative gastrointestinal functional parameters. The I-FEED score exhibited a positive correlation with the NLR, SII, and PLR. The univariate analysis indicated that all IDRs, multiorgan resection, hemoglobin and protein levels, regional nodal extent of the tumor (N), and obesity significantly affected nasogastric tube reinsertion. The multivariate analysis showed that the SII and N1 stages were risk factors for nasogastric tube reinsertion after colorectal cancer surgery. The SII and multiorgan resection were the only classifiers that remained significant in the multivariable analysis for the toleration for liquids. In summation, certain preoperative IDRs, such as the SII, PLR, and NLR, may hold potential as predictive determinants for postoperative gastrointestinal functional recovery following colorectal cancer surgery.

Background/ObjectiveCellular immune markers of inflammation such as neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and systemic immune inflammation index (SII) are frequently used in patient care. The adoption of these markers to elite sports, e.g. soccer could be beneficial when monitoring training and aiming to maximize physical fitness. This study investigated cellular immune inflammation markers and physical fitness in elite male soccer players in relation to changes in training and match exposure during a congested match play period.MethodsFifteen elite male soccer players were evaluated three times (T1, T2, and T3) over 12 weeks (T1–T2: six weeks uncongested period of match play and T2–T3: six weeks congested period of match play). Players performed vertical jump tests (squat jumps [SJ], countermovement jumps [CMJ]), the 20-meter sprint test, and the Yo-Yo intermittent recovery test (YYIRL1) at T1, T2 and T3. Measurements included counts of leucocytes and its subtypes, as well as platelets. Cellular immune inflammation markers (NLR, PLR and SII) were calculatedat T1, T2, and T3. Training session rating of perceived exertion was also recorded on a daily basis.ResultsSignificant increases in leucocyte, neutrophil, eosinophil, basophil and monocyte counts occurred at T3 compared with T2 (0.002 < p < 0.04, -0.56 < ES < -0.40) and T1 (-0.78 < ES < -0.49). Lymphocyte counts were lower at T3 as compared to T2 and T1 (p = 0.038, -0.48 < ES <-0.25), while NLR, PLR and SII were greater at T3 compared to T2 (0.001 < p < 0.015, -1.01 < ES < -0.44) and T1 (-0.99 < ES < -0.21). There was a negative correlation between YYIRL1 performance with NLR (r= -0.56; p = 0.02), PLR (r=-0,44, p = 0.015), and SII (r= -0.63; p = 0.01) after the congested period of match play (i.e., T3). Values for maximal oxygen uptake (VO2max), estimated from the YYIRL1 test, negatively correlated with NLR (r= -0.56; p = 0.02), PLR (r=-0,44, p = 0.015), and SII (p = 0.01; r= -0.63). There was a positive correlation between NLR, and SII with workload parameters. In addition, a clear positive correlation was observed between NLR and SII with competitive loadinstead (r= [0.59–0.64; p˂ 0.001), training load (TL) (r= [0.65–0.68]; p˂ 0.001), session rating of perceived exertion (S-RPE) (r= [0.65–0.68]; p = 0.001), and training volume (r= [0.60–0.61; p = 0.001).ConclusionAn intensive period of congested match play significantly alterated immune cell counts and cellular markers of inflammation (NLR, PLR and SII). Changes in NLR and SII were related to workload parameters, suggesting the usefulness of these markers in regulating training intensity and competitive load. An association between physical fitness (YYIRL1, VO2max) and NLR, PLR and SII suggests that these biomarkers are promising tools to monitor aerobic physical fitness of elite soccer players during congested periods of match play.

Background: Inflammatory activity in rheumatoid arthritis can be determined by normal blood count ratios such as Neutrophil Lymphocyte Ratio (NLR), Platelet Lymphocyte Ratio (PLR), Systemic Immune Inflammation Index (SII), and C-reactive Protein (CRP). Objective: The aim of this research is to determine how these markers change after therapy and whether their pre- and post-treatment differences follow patterns that allow for simple parametric analyses. Methods: A prospective cohort of 52 RA patients (30 females and 22 males) was examined. The patients' blood samples were tested at baseline and at the end of their 6-month Infliximab treatment. Hematologic markers such as NLR, PLR, and SII were calculated from the complete blood count (CBC), and CRP levels were measured. The statistical methods of Shapiro-Wilk (SW), Kolmogorov-Smirnov (KS), and Anderson-Darling (AD) were used, and later, paired t-tests were used to generate statistics where necessary. Results: Post-treatment measurements were consistently lower for all four biomarkers. QQ-plots and formal tests revealed that the differences between findings were essentially normal, allowing for paired t-tests. The mean decreases were as follows: NLR -1.10 (95% CI -1.48 to -0.71), PLR -43.0 (-55.4 to -30.7), SII -299 (-388 to -211), and CRP -11.36 (-13.18 to -9.54), all p < 0.001. CRP showed the greatest drop, with significant decreases in PLR and SII and a moderate decline in NLR, indicating therapy-related attenuation of systemic inflammation. Conclusions: The study shows that six months of infliximab therapy results in a consistent post-treatment decrease in all four biomarkers: NLR, PLR, SII, and CRP. Because the pre-post differences were roughly normal, CRP revealed the greatest decrease, with significant decreases in PLR and SII and a moderate decrease in NLR, consistent with systemic inflammation reduction. When combined, the CBC-derived indices track with CRP and can serve as practical, low-cost markers for monitoring therapy response in RA, despite the single-arm design.

IntroductionThe platelet-lymphocyte ratio (PLR), neutrophil-lymphocyte ratio (NLR), and systemic immune-inflammation index (SII) are markers for systemic inflammatory responses and have been shown by numerous studies to correlate with the prognosis of gastric cancer (GC). However, the diagnostic value of these three markers in GC is unclear, and no research has examined them in combination. In this study, we investigated the value of the PLR, NLR, and SII individually or in combination for GC diagnosis and elucidated the connection of these three markers with GC patients’ clinicopathological features.MethodsThis retrospective study was conducted on 125 patients diagnosed with GC and 125 healthy individuals, whose peripheral blood samples were obtained for analysis. The preoperative PLR, NLR, and SII values were subsequently calculated.ResultsThe results suggest that the PLR, NLR, and SII values of the GC group were considerably higher than those of the healthy group (all P ≤ 0.001); moreover, all three parameters were notably higher in early GC patients (stage I/II) than in the healthy population. The diagnostic value of each index for GC was analyzed using receiver operating characteristic (ROC) curve analysis and area under the curve (AUC) calculation. The diagnostic efficacy of the SII alone (AUC: 0.831; 95% confidence interval [CI], 0.777–0.885) was expressively better than those of the NLR (AUC: 0.821; 95% CI: 0.769–0.873, P = 0.017) and PLR (AUC: 0.783; 95% CI: 0.726–0.840; P = 0.020). The AUC value of the combination of the PLR, NLR, and SII (AUC: 0.843; 95% CI: 0.791–0.885) was significantly higher than that of the combination of the SII and NLR (0.837, 95% CI: 0.785–0.880, P≤0.05), PLR (P = 0.020), NLR (P = 0.017), or SII alone (P ≤ 0.001). The optimal cut-off values were determined for the PLR, NLR, and SII using ROC analysis (SII: 438.7; NLR: 2.1; PLR: 139.5). Additionally, the PLR, NLR, and SII values were all meaningfully connected with the tumor size, TNM stage, lymph node metastasis, and serosa invasion (all P ≤ 0.05). Elevated levels of the NLR and SII were linked to distant metastasis (all P ≤ 0.001).DiscussionThese data suggest that the preoperative PLR, NLR, and SII could thus be utilized as diagnostic markers for GC or even early GC. Among these three indicators, the SII had the best diagnostic efficacy for GC, and the combination of the three could further improve diagnostic efficiency.