Suggestions on Perfecting Index Systems of Building a Well-Off Society in an All-Round Way

The index systems are not only the tools to evaluate existing practice results, but also the guides to the future development direction and development way of practical activities. ＂Well-off society＂ is a relatively vague concept, and the contents of it ceaselessly change with the advancement of society and the development of productivity. Now the construction of a well-off society in an all-round way enters a critical stage, so the original evaluation standards must change with gradual advancement of the construction goal of a well-off society. So it is very necessary for us to build a comprehensive evaluation index system and make it better and better to provide effective statistical consultation and statistical supervision for constructing a well-off society in an all-round way. This paper attempts to analyze the current evaluation index system, then puts forward the general thinking and flame work of the index system of building a well-off society in an all-round way.

Systemic immune-inflammation index,neutrophilto-lymphocyte ratio,and platelet-to-lymphocyte ratio in patients with type 2 diabetes at different stages of diabetic retinopathy

AIM:To investigate systemic immune-inflammation index(SII),neutrophil-to-lymphocyte ratio(NLR),and plateletto-lymphocyte ratio(PLR)levels in patients with type 2 diabetes at different stages of diabetic retinopathy(DR).METHODS:This retrospective study included 141 patients with type 2 diabetes mellitus(DM):45 without diabetic retinopathy(NDR),47 with non-proliferative diabetic retinopathy(NPDR),and 49 with proliferative diabetic retinopathy(PDR).Complete blood counts were obtained,and NLR,PLR,and SII were calculated.The study analysed the ability of inflammatory markers to predict DR using receiver operating characteristic(ROC)curves.The relationships between DR stages and SII,PLR,and NLP were assessed using multivariate logistic regression.RESULTS:The average NLR,PLR,and SII were higher in the PDR group than in the NPDR group(P=0.011,0.043,0.009,respectively);higher in the NPDR group than in the NDR group(P<0.001 for all);and higher in the PDR group than in the NDR group(P<0.001 for all).In the ROC curve analysis,the NLR,PLR,and SII were significant predictors of DR(P<0.001 for all).The highest area under the curve(AUC)was for the PLR(0.929 for PLR,0.925 for SII,and 0.821 for NLR).Multivariate regression analysis indicated that NLR,PLR,and SII were statistically significantly positive and independent predictors for the DR stages in patients with DM[odds ratio(OR)=1.122,95%confidence interval(CI):0.200–2.043,P<0.05;OR=0.038,95%CI:0.018–0.058,P<0.05;OR=0.007,95%CI:0.001–0.01,P<0.05,respectively).CONCLUSION:The NLR,PLR,and SII may be used as predictors of DR.

Prognostic value of preoperative systemic immune-inflammation index/albumin for patients with hepatocellular carcinoma undergoing curative resection

BACKGROUND Hepatocellular carcinoma(HCC)is a major factor for cancer-associated mortality globally.Although the systemic immune-inflammation index(SII)and albumin(ALB)show individual prognostic value for various cancers,their combined significance(SII/ALB)in HCC patients undergoing curative hepatectomy is still unknown.It is hypothesized that a higher SII/ALB ratio correlates with poorer outcomes with regard to overall survival(OS)and recurrence-free survival(RFS).AIM To investigate the effect of preoperative SII/ALB in predicting the prognosis of HCC patients undergoing hepatectomy.METHODS Patients who received curative surgery for HCC at a single institution between 2014 and 2019 were retrospectively analyzed.Cox proportional hazards models and Kaplan-Meier curves were utilized to estimate OS and RFS.A nomogram was created using prognostic factors determined by the least absolute shrinkage and selection operator method and analyzed using multivariate Cox regression.This nomogram was assessed internally through the calibration plots,receiver operating characteristic(ROC)analysis,decision curve analysis(DCA)and the concordance index(C-index).RESULTS This study enrolled 1653 HCC patients.Multivariate analyses demonstrated that SII/ALB independently predicted OS[hazard ratio(HR)=1.22,95%CI:1.03-1.46,P=0.025]and RFS(HR=1.19,95%CI:1.03-1.38,P=0.022).Age,alpha-fetoprotein,hepatitis B surface antigen,albumin-bilirubin grade,tumor diameter,portal vein tumor thrombus,tumor number,and SII/ALB were incorporated into the nomogram to predict OS.The nomogram had a C-index of 0.73(95%CI:0.71-0.76)and 0.71(95%CI:0.67-0.74)for the training and validation cohorts,respectively.The area under the ROC curve,DCA and calibration curves demonstrated high accuracy and clinical benefits.CONCLUSION The SII/ALB may independently predict outcomes in HCC patients who receive curative surgical treatment.In addition,the nomogram can be used in HCC treatment decision-making.

Predictive value of systemic immunity index for sepsis in low-medium risk community-acquired pneumonia

Objective:To assess the predictive value of systemic immune inflammation index(SII)for sepsis in low-and medium-risk community-acquired pneumonia.Methods:A total of 589 elderly patients with low-and medium-risk community-acquired pneumonia admitted to the Emergency Department of the Second Affiliated Hospital of Hainan Medical University from January 2020 to January 2023 were included as the research subjects,and the general information and laboratory test results of the patients were collected,and the optimal cut-off value of continuous variables for predicting sepsis in elderly patients with low-and medium-risk community-acquired pneumonia was determined by plotting the receiver work characteristic(ROC)curve,which was converted into dichotomous variables and univariate and multivariate logistic Regression analysis of the influencing factors of sepsis in elderly patients with low-and medium-risk community-acquired pneumonia.Based on this,a nomogram model is constructed to predict the risk of sepsis.The differentiation,consistency and accuracy of the model were verified by calibration curve and subject operating characteristic(ROC)curve,and the clinical utility of the model was determined by decision curve analysis.Results:A total of 589 elderly patients with low-and intermediate-risk community-acquired pneumonia were included in this study,of which 96(16.30%)developed sepsis.There were significant differences in age,diabetes mellitus and chronic obstructive pulmonary disease,Lac,PCT,SII and other indexes between sepsis and non-sepsis groups(P<0.05).Logistics regression analysis showed that age,diabetes mellitus and chronic obstructive pulmonary disease,Lac,and SII were independent risk factors for sepsis in elderly patients with low-and medium-risk community-acquired pneumonia.The nomogram prediction model was used to verify the results,and the AUC was 0.826(95%CI:0.780-0.872),and the calibration curve tended to the ideal curve with good accuracy.The decision curve shows that when the threshold of the model is between 0.10~0.78,the model has the advantage of clinical benefit.Conclusion:The nomogram prediction model constructed based on SII to predict sepsis in elderly patients with low-and medium-risk community-acquired pneumonia has good accuracy,which can predict the occurrence of sepsis early,help early identification of high-risk groups and timely intervention,and thus improve the prognosis of patients.

Assessment of systemic immune-inflammatory index and other inflammatory parameters in predicting mortality in patients with acute cholecystitis:A retrospective observational study

Objective:To investigate the effectiveness of the systemic immune-inflammatory(SII)index and other inflammatory parameters in predicting mortality among patients with acute cholecystitis(AC).Methods:279 Patients presented to the emergency department with abdominal pain and diagnosis of AC between September 2021 and September 2023 were included in the study.Demographic data,laboratory parameters,clinical follow-ups,and outcomes of the patients were recorded.Results:The mean age of the patients was(55.0±16.3)years and 36.6%were male.63.8%Had gallbladder/choledochal stones and 49.5%underwent surgery.The mortality rate was 6.1%.Advanced age(P=0.170)and prolonged hospitalization(P=0.011)were statistically significant risk factors for mortality.Decreased lymphocyte count(P=0.020)and increased C-reactive protein(CRP)levels(P=0.033)were found to be risk factors for mortality.According to the mortality predictor ROC analysis results,the cut-off for SII index was 3138(AUC=0.817,sensitivity=70.5%,specificity=84.7%),the cut-off for neutrophil count was 15.28×10^(3)/mm^(3)(AUC=0.761,sensitivity=52.9%,specificity=95.0%),the cut-off for leukocyte count was 19.0×10^(3)/mm^(3)(AUC=0.714,sensitivity=52.9%,specificity=98.0%),cut-off for CRP was 74.55(AUC=0.758,sensitivity=70.5%,specificity=79.0%),cut-off for aspartate transaminase(AST)was 33.0 IU/L(AUC=0.658,sensitivity=82.3%,specificity=50.3%).Conclusions:The SII index may be a good predictor of mortality with high sensitivity and specificity.Elevated levels of neutrophils,leukocytes,CRP,and AST are other inflammatory parameters that can be used to predict mortality associated with AC.

Systemic Inflammation Response Index and weight loss as prognostic factors in metastatic pancreatic cancer: A concept study from the PANTHEIA-SEOM trial

BACKGROUND The prognostic value of the Systemic Inflammation Response Index(SIRI)in advanced pancreatic cancer is recognized,but its correlation with patients´nutritional status and outcomes remains unexplored.AIM To study the prognostic significance of SIRI and weight loss in metastatic pancreatic cancer.METHODS The PANTHEIA-Spanish Society of Medical Oncology(SEOM)study is a multicentric(16 Spanish hospitals),observational,longitudinal,non-interventional initiative,promoted by the SEOM Real World-Evidence work group.This pilot study sought to analyze the association between weight loss and inflammatory status as defined by SIRI.The cohort stems from a proof-of-concept pilot study conducted at one of the coordinating centers.Patients with pathologically confirmed metastatic pancreatic adenocarcinoma,treated from January 2020 to January 2023,were included.The index was calculated using the product of neutrophil and monocyte counts,divided by lymphocyte counts,obtained within 15 days before initiation chemotherapy.This study evaluated associations between overall survival(OS),SIRI and weight loss.RESULTS A total of 50 patients were included.66%of these patients were male and the median age was 66 years.Metastasis sites:36%liver,12%peritoneal carcinomatosis,10%lung,and 42%multiple locations.Regarding the first line palliative chemotherapy treatments:50%received gemcitabine plus nab-paclitaxel;28%,modified fluorouracil,leucovorin,irinotecan and oxaliplatin,and 16%were administered gemcitabine.42%had a weight loss>5%in the three months(mo)preceding diagnosis.21 patients with a SIRI≥2.3×10^(3)/L exhibited a trend towards a lower median OS compared to those with a SIRI<2.3×10^(3)/L(4 vs 18 mo;P<0.000).Among 21 patients with>5%weight loss before diagnosis,the median OS was 6 mo,in contrast to 19 mo for those who did not experience such weight loss(P=0.003).Patients with a weight loss>5%showed higher SIRI levels.This difference was statistically significant(P<0.000).For patients with a SIRI<2.3×10^(3)/L,those who did not lose>5%of their weight had an OS of 20 mo,compared to 11 mo for those who did(P<0.001).No association was found between carbohydrate antigen 19-9 levels≥1000 U/mL and weight loss.CONCLUSION A higher SIRI was correlated with decreased survival rates in patients with metastatic pancreatic cancer and associated with weight loss.An elevated SIRI is suggested as a predictor of survival,emphasizing the need for prospective validation in the upcoming PANTHEIA-SEOM study.

Preoperative systemic inflammatory response index as a prognostic marker for distal cholangiocarcinoma after pancreatoduodenectomy

BACKGROUND The relationship between preoperative inflammation status and tumorigenesis as well as tumor progression is widely acknowledged.AIM To assess the prognostic significance of preoperative inflammatory biomarkers in patients with distal cholangiocarcinoma(dCCA)who underwent pancreat-oduodenectomy(PD).METHODS This single-center study included 216 patients with dCCA after PD between January 1,2011,and December 31,2022.The individuals were categorized into two sets based on their systemic inflammatory response index(SIRI)levels:A low SIRI group(SIRI<1.5,n=123)and a high SIRI group(SIRI≥1.5,n=93).Inflam-matory biomarkers were evaluated for predictive accuracy using receiver operating characteristic curves.Both univariate and multivariate Cox proportional hazards analyses were performed to estimate SIRI for overall survival(OS)and recurrence-free survival(RFS).RESULTS The study included a total of 216 patients,with 58.3%being male and a mean age of 65.6±9.6 years.123 patients were in the low SIRI group and 93 were in the high SIRI group after PD for dCCA.SIRI had an area under the curve value of 0.674 for diagnosing dCCA,showing better performance than other inflammatory biomarkers.Multivariate analysis indicated that having a SIRI greater than 1.5 independently increased the risk of dCCA following PD,leading to lower OS[hazard ratios(HR)=1.868,P=0.006]and RFS(HR=0.949,P<0.001).Additionally,survival analysis indicated a significantly better prognosis for patients in the low SIRI group(P<0.001).CONCLUSION It is determined that a high SIRI before surgery is a significant risk factor for dCCA after PD.

Systemic inflammatory response index is a predictor of prognosis in gastric cancer patients: Retrospective cohort and meta-analysis

BACKGROUND The systemic inflammatory response index(SIRI)has been demonstrated to make a significant difference in assessing the prognosis of patients with different solid neoplasms.However,research is needed to ascertain the accuracy and reliability of applying the SIRI to patients who undergo robotic radical gastric cancer sur-gery.AIM To validate the applicability of the SIRI in assessing the survival of gastric cancer patients and evaluate the clinical contribution of preoperative SIRI levels to predicting long-term tumor outcomes in patients,who received robotic radical gastric cancer surgery.METHODS Initially,an exhaustive retrieval was performed in the PubMed,the Cochrane Library,EMBASE,Web of Science,and Scopus databases to identify relevant studies.Subsequently,a meta-analysis was executed on 6 cohort studies iden-tifying the value of the SIRI in assessing the survival of gastric cancer patients.Additionally,the clinical data of 161 patients undergoing robotic radical gastric cancer surgery were retrospectively analyzed to evaluate their clinicopathological characteristics and relevant laboratory indicators.The association between preoperative SIRI levels and 5-year overall survival(OS)and disease-free survival(DFS)was assessed.RESULTS The findings demonstrated an extensive connection between SIRI values and the outcome of patients with gastric cancer.Preoperative SIRI levels were identified as an independent hazard feature for both OS and DFS among those who received robotic surgery for gastric cancer.SIRI levels in gastric cancer patients were observed to be associated with the presence of comorbidities,T-stage,carcinoembryonic antigen levels,the development of early serious postoperative complications,and the rate of lymph node metastasis.CONCLUSION SIRI values are correlated with adverse in the gastric cancer population and have the potential to be utilized in predicting long-term oncological survival in patients who undergo robotic radical gastric cancer surgery.

Actuality and underlying mechanisms of systemic immuneinflammation index and geriatric nutritional risk index prognostic value in hepatocellular carcinoma

This editorial contains comments on the article“Correlation between preoperative systemic immune inflammation index,nutritional risk index,and prognosis of radical resection of liver cancer”in a recent issue of the World Journal of Gastrointestinal Surgery.It pointed out the actuality and importance of the article and focused primarily on the underlying mechanisms making the systemic immuneinflammation index(SII)and geriatric nutritional risk index(GNRI)prediction features valuable.There are few publications on both SII and GNRI together in hepatocellular carcinoma(HCC)and patient prognosis after radical surgery.Neutrophils release cytokines,chemokines,and enzymes,degrade extracellular matrix,reduce cell adhesion,and create conditions for tumor cell invasion.Neutrophils promote the adhesion of tumor cells to endothelial cells,through physical anchoring.That results in the migration of tumor cells.Pro-angiogenic factors from platelets enhance tumor angiogenesis to meet tumor cell supply needs.Platelets can form a protective film on the surface of tumor cells.This allows avoiding blood flow damage as well as immune system attack.It also induces the epithelial-mesenchymal transformation of tumor cells that is critical for invasiveness.High SII is also associated with macro-and microvascular invasion and increased numbers of circulating tumor cells.A high GNRI was associated with significantly better progression-free and overall survival.HCC patients are a very special population that requires increased attention.SII and GNRI have significant survival prediction value in both palliative treatment and radical surgery settings.The underlying mechanisms of their possible predictive properties lie in the field of essential cancer features.Those features provide tumor nutrition,growth,and distribution throughout the body,such as vascular invasion.On the other hand,they are tied to the possibility of patients to resist tumor progression and development of complications in both postoperative and cancer-related settings.The article is of considerable interest.It would be helpful to continue the study follow-up to 2 years and longer.External validation of the data is needed.

Prognostic value of combined systemic inflammation response index and prognostic nutritional index in colorectal cancer patients

BACKGROUND The prognosis of colorectal cancer(CRC)patients is notably influenced by both inflammation and nutritional status.The prognostic nutritional index(PNI)and systemic inflammatory response index(SIRI)have been reported in prognostic studies of various tumors.However,the efficacy of the combination of the two in predicting the prognosis of CRC patients has not been studied.AIM To evaluate the effectiveness of PNI and SIRI in predicting the prognosis of patients with CRC.METHODS We retrospectively gathered data from 470 CRC patients who underwent feasible radical surgery at Xinjiang Cancer Hospital.The optimal cut-off values for SIRI and PNI,along with their predictive power for survival,were determined through area under the receiver operating characteristic curve using time-dependent receiver operating characteristic analysis.The Kaplan-Meier method and log-rank test were applied to assess prognostic impact,and a multifactorial Cox proportional hazards model was employed for analysis.Additionally,a new model,PSIRI,was developed and assessed for its survival prediction capability.RESULTS The optimal cutoff values for PNI and SIRI were determined to be 47.80 and 1.38,respectively.Based on these values,patients were categorized into high PNI and low PNI groups,as well as high SIRI and low SIRI groups.Significant differences in age,T stage,neutrophil to lymphocyte ratio(NLR),monocyte to lymphocyte ratio(MLR),and platelet-to-lymphocyte ratio(PLR)subgroups were observed between the PNI groups in the baseline profile.In the SIRI group,notable differences were found in gender,T stage,nerve invasion,intravascular tumor emboli,NLR,MLR,and PLR subgroups.Both low PNI and high SIRI were identified as independent risk factors for poor prognosis in CRC patients.When combined into the PSIRI model,it was shown that patients with a PSIRI≤1 had a higher risk of death compared to those with a PSIRI of 2.CONCLUSION We assessed the impact of PNI and SIRI on the prognostic survival of CRC patients and developed a new model,PSIRI.This model demonstrated superior predictive accuracy,with a concordance index of 0.767.