Role of lymphocyte-to-monocyte ratio as a predictive marker for diabetic coronary artery disease: A cross-sectional study

BACKGROUND The lymphocyte to monocyte ratio(LMR)is considered a marker of systemic inflammation in cardiovascular disease and acts as predictor of mortality in coronary artery disease.AIM To investigate the predictive role of LMR in diabetic coronary artery disease patients.METHODS This cross-sectional study was conducted at tertiary care super-specialty hospital at New Delhi,India.A total of 200 angiography-proven coronary artery disease(CAD)patients were enrolled and grouped into two categories:Group I[CAD patients with type 2 diabetes mellitus(T2DM)and glycated hemoglobin(HbA1c)levels≥6.5%],and Group II(CAD patients without T2DM and HbA1c levels<6.5%).Serum lipoproteins,HbA1c,and complete blood count of enrolled patients were analyzed using fully automatic analyzers.RESULTS The logistic regression analysis showed an odds ratio of 1.48(95%CI:1.28-1.72,P<0.05)for diabetic coronary artery disease patients(Group I)in unadjusted model.After adjusting for age,gender,diet,smoking,and hypertension history,the odds ratio increased to 1.49(95%CI:1.29-1.74,P<0.01)in close association with LMR.Further adjustment for high cholesterol and triglycerides yielded the same odds ratio of 1.49(95%CI:1.27-1.75,P<0.01).Receiver operating characteristic curve analysis revealed 74%sensitivity,64%specificity,and 0.74 area under the curve(95%CI:0.67-0.80,P<0.001),suggesting moderate predictive accuracy for diabetic CAD patients.CONCLUSION LMR showed positive association with diabetic coronary artery disease,with moderate predictive accuracy.These findings have implications for improving CAD management in diabetics,necessitating further research and targeted interventions.

Lymphocyte-to-monocyte ratio can predict mortality in pancreatic adenocarcinoma

AIMTo determine if the lymphocyte-to-monocyte ratio (LMR) could be helpful in predicting survival in patients with pancreatic adenocarcinoma. METHODSWe retrospectively reviewed the medical records of all patients diagnosed with pancreatic adenocarcinoma in the VA North Texas Healthcare System from January 2005 to December 2010. The LMR was calculated from peripheral blood cell counts obtained at the time of diagnosis of pancreatic cancer by dividing the absolute lymphocyte count by the absolute monocyte count. A Univariable Cox regression analysis was performed using these data, and hazard ratios (HR) and 95%CI were calculated. The median LMR (2.05) was used to dichotomize patients into high-LMR and low-LMR groups and the log rank test was used to compare survival between the two groups. RESULTSWe identified 97 patients with pancreatic adenocarcinoma (all men, 66% white, 30% African-American). The mean age and weight at diagnosis were 66.0 ± 0.9 (SEM) years and 80.4 ± 1.7 kg respectively. Mean absolute lymphocyte and monocyte values were 1.50 ± 0.07 K/μL and 0.74 ± 0.03 K/μL respectively. Mean, median and range of LMR was 2.36, 2.05 and 0.4-12 respectively. In the univariable Cox regression analysis, we found that an increased LMR was a significant indicator of improved overall survival in patients with pancreatic adenocarcinoma (HR = 0.83; 95%CI: 0.70-0.98; P = 0.027). Kaplan-Meier analysis revealed an overall median survival of 128 d (95%CI: 80-162 d). The median survival of patients in the high-LMR (> 2.05) group was significantly greater than the low-LMR group (≤ 2.05) (194 d vs 93 d; P = 0.03), validating a significant survival advantage in patients with a high LMR. CONCLUSIONThe LMR at diagnosis is a significant predictor for survival and can provide useful prognostic information in the management of patients with pancreatic adenocarcinoma.

The combined prognostic value of pretreatment neutrophil-to-lymphocyte ratio, lymphocyte-to-monocyte ratio, and platelet-to-lymphocyte ratio in stage IE/IIE extranodal natural killer/T-cell lymphoma

Objective This study aimed to explore the combined prognostic value of pretreatment neutrophil-tolymphocyte ratio(NLR), lymphocyte-to-monocyte ratio(LMR), and platelet-to-lymphocyte ratio(PLR) in newly diagnosed IE/IIE extranodal natural killer/T-cell lymphoma(ENKTL) treated with a P-Gemox regimen combined with radiotherapy or radiotherapy alone.Methods A total of 132 patients from 2009 to 2017 at the Sichuan Cancer Hospital were enrolled in the study. The cutoff values of NLR, LMR, and PLR using overall survival(OS) rate as an endpoint were obtained by the receiver operating curve. Results The cutoff value of NLR was 3.5. Patients with high NLR had significantly shorter progressionfree survival(PFS)(P < 0.001) and OS(P < 0.001) than those with low NLR. Similarly, the cutoff value of LMR was 3.0. The high LMR group had significantly longer PFS(P=0.001) and OS(P < 0.001) than the low LMR group. Similarly, the cutoff value of PLR was 191.7. The high PLR group was significantly associated with poor PFS(P < 0.001) and OS(P < 0.001) than the low PLR group. Furthermore, combining NLR, LMR, and PLR to build a new model to stratify patients into low-, intermediate-, intermediate-high-, and high-risk groups, there were also significant differences in PFS(P < 0.001) and OS(P < 0.001). The univariate analysis showed that presenting B symptoms, stage IIE, local tumor invasion, Eastern Cooperative Oncology Group score ≥ 2, elevated lactate dehydrogenase level, elevated NLR, decreased LMR, and elevated PLR were significantly associated with poor survival. The multivariate analysis demonstrated that PLR was an independent prognostic factor for both PFS(hazard ratio [HR]= 2.073, 95% confidence interval [CI]= 1.080–3.981, P = 0.028) and OS(HR = 2.127, 95% CI = 1.102–4.107, P = 0.025).Conclusion Elevated pretreatment PLR was a novel simple predictor of poor survival in patients with stage IE/IIE ENKTL. Combining NLR, LMR, and PLR could provide additional stratification.

The prognostic value of lymphocyte-to-monocyte ratio in retinopathy of prematurity

AIM： To evaluate the associations between development of retinopathy of prematurity（ROP） and serum lymphocyteto-monocyte ratio（LMR）, neutrophil-to-lymphocyte ratio（NLR）, and platelet-to-lymphocyte ratio（PLR）. METHODS： A retrospective cohort study was performed, involving infants who were screened for ROP from January 2015 to December 2015. Preterm newborns of ≤32 gestational weeks with ROP were enrolled as the observation group, and non-ROP infants were enrolled as the control group, whose complete blood cell were measured within the first 24 h of life. The levels of NLR, LMR and PLR were determined in all groups. The data obtained were analyzed using univariate and multivariate logistic regression analysis.RESULTS： In this study, 40 cases of ROP were enrolled and 40 cases of non-ROP as controls. The LMR levels were significantly higher（P〈0.001） in ROP group（3.96±1.16） compared to non-ROP group（2.85±0.79）. The NLR levels were significantly lower（P=0.035） in ROP group {median [interquartile range（IQR）], 0.88（0.67-1.46）} compared to non-ROP group [median（IQR）, 1.20（0.85-1.89）]. The median PLR values were 61.99（IQR, 50.23-75.98） in ROP group and 69.24（IQR, 55.52-88.12） in non-ROP group（P=0.104）. Logistic regression analysis suggested that LMR was an independent risk factor for ROP（OR： 0.275; 95% CI： 0.134-0.564; P=0.001）. CONCLUSION： The findings demonstrate that higher LMR is independently and significantly associated with the development of ROP, and the LMR may be invoked as a predictive tool for identifying risk for ROP.

Development and validation of a nomogram including lymphocyte-to-monocyte ratio for initial prostate biopsy:a double-center retrospective study

Here,we developed a prostate cancer(PCa)risk nomogram including lymphocyte-to-monocyte ratio(LMR)for initial prostate biopsy,and internal and external validation were further conducted.A prediction model was developed on a training set.Significant risk factors with P<0.10 in multivariate logistic regression models were used to generate a nomogram.Discrimination,calibration,and clinical usefulness of the model were assessed using C-index,calibration plot,and decision curve analysis(DCA).The nomogram was re-examined with the internal and external validation set.A nomogram predicting PCa risk in patients with prostate-specific antigen(PSA)4-10 ng ml^(-1)was also developed.The model displayed good discrimination with C-index of 0.830(95%confidence interval[Cl]:0.812-0.852).High C-index of 0.864(95%Cl:0.840-0.888)and 0.871(95%Cl:0.861-0.881)was still reached in the internal and external validation sets,respectively.The nomogram exhibited better performance compared to the nomogram with PSA only(C-index:0.763,95%Cl:0.746-0.780,P<0.001)and the nomogram with LMR excluded(C-index:0.824,95%Cl:0.804-0.844,P<0.010).The calibration curve demonstrated good agreement in the internal and external validation sets.DCA showed that the nomogram was useful at the threshold probability of>4%and<99%.The nomogram predicting PCa risk in patients with PSA 4-10 ng ml^(-1)also displayed good calibration and discrimination performance(C-index:0.734,95%Cl:0.708-0.760).This nomogram incorporating age,PSA,digital rectal examination,abnormal imaging signals,PSA density,and LMR could be used to facilitate individual PCa risk prediction in initial prostate biopsy.

Lymphocyte-to-monocyte ratio is a short-term predictive marker of ulcerative colitis after induction of advanced therapy

Advanced therapies for patients with mild-to-severe ulcerative colitis(UC)may result in treatment failure.We examined whether the lymphocyte-to-monocyte ratio(L/M ratio)could predict the failure of advanced therapies.This retrospective,observational,cohort study included 73 patients who were treated with advanced therapies at the Hamamatsu University School of Medicine(Shizuoka,Japan)between February 2011 and November 2020.The patients were divided into the nonfailure and failure groups,and their leukocyte counts and ratios before induction were examined.Univariate and multivariate analyses were performed to identify the prognostic factors.Advanced therapies failed within 3 months in 15(20.5%)patients.Only the L/M ratio was significantly lower in the failure group than in the non-failure group(P=0.004).Receiveroperating characteristic(ROC)curve analysis revealed that an L/M ratio of ≤3.417 was predictive of treatment failure;the area under the curve(AUC)was 0.747(95%CI,0.620–0.874).Kaplan–Meier analysis revealed that the failure-free rate was significantly lower in the group with an L/M ratio of≤3.417 than in the group with an L/M ratio of>3.417(log-rank test P=0.002).Cox proportional hazard regression analysis identified an L/M ratio of≤3.417 as an independent risk factor for failure within 3 months after the induction of advanced therapies.Furthermore,ROC analysis of patients who did not receive immunomodulators also revealed that the cut-off L/M ratio was 3.417 and the AUC was 0.796(95%CI,0.666–0.925).In patients receiving advanced therapies for active UC,the L/M ratio can predict treatment failure within 3 months.L/M ratios could facilitate the transition from advanced therapies to subsequent treatments.

基于改进Ratio统计量的重尾AR(p)时间序列均值变点检验

文章提出两个改进的Ratio统计量来研究重尾AR(p)时间序列均值变点检验问题,在原假设下推导了统计量的渐近分布,且在备择假设下证明了其一致性。由于重尾指数未知且难以估计,因此结合Wild Bootstrap重抽样方法来确定渐近分布的临界值;在均值变点存在的情形下,给出了变点位置的一致估计量。数值模拟结果表明:统计量的临界值均不受重尾指数和自回归系数的影响,其经验水平和经验势均取得满意的效果;尤其在原假设下,积分型Ratio统计量的经验水平表现出更好的稳健性,而在备择假设下,最值型Ratio统计量则具备更好的显著性。最后,基于一组股票数据,从实际应用角度进一步阐明所提方法的有效性和可行性。

Feasibility of lymphocyte-to-monocyte ratio in predicting no-reflow phenomenon in ST-elevation myocardial infarction patients undergoing primary percutaneous coronary intervention

Background The no-reflow phenomenon is correlated with adverse effects on short-term and long-term outcomes of ST-elevation myocardial infarction(STEMI) in patients undergoing primary percutaneous coronary intervention(PCI). The lymphocyte-to-monocyte ratio(LMR) is a novel inflammatory marker which is associated with slow coronary flow. We aimed to investigate the predictive value of LMR for no-reflow phenomenon in patients with STEMI undergoing primary PCI. Methods A total of 1350 STEMI patients were enrolled in this study from January 2014 to January 2018. Blood samples were obtained at initial admission for analysis of LMR.The univariate and multivariate logistic regression analysis was performed to study the relationship between LMR and no-reflow phenomenon. Results All the 156 patients among the study population suffered from no-reflow phenomenon during the procedure. The LMR level was significantly lower in patients with no-reflow(1.6 ±1.0 vs. 3.25 ± 1.8, P<0.001). Multivariate logistic regression analysis showed that LMR was independently associated with no-reflow post primary PCI in STEMI patients.(OR 2.356, 95% CI 1.201-5.945;P=0.030). The area under the ROC curve for the LMR was 0.757 [95% confidence interval(CI) 0.686-0.828, P<0.001]. Conclusions LMR at admission could serve as a biomarker for no-reflow phenomenon in patients undertaken primary PCI for STEMI.[S Chin J Cardiol 2019;20(4):228-235]

Neutrophile-to-lymphocyte,lymphocyte-to-monocyte,and platelet-tolymphocyte ratios as prognostic and response biomarkers for resectable locally advanced gastric cancer

BACKGROUND Perioperative fluorouracil plus leucovorin,oxaliplatin,and docetaxel(FLOT)improves prognosis in locally advanced gastric cancer(LAGC).Neutrophil-to-lymphocyte(NLR),lymphocyte-tomonocyte(LMR),and platelet-to-lymphocyte(PLR)ratios are prognostic biomarkers but not predictive factors.AIM To assess blood ratios’(NLR,LMR and PLR)potential predictive response to FLOT and survival outcomes in resectable LAGC patients.METHODS This was a multicentric retrospective study investigating the clinical potential of NLR,LMR,and PLR in resectable LAGC patients,treated with at least one preoperative FLOT cycle,from 12 Portuguese hospitals.Means were compared through non-parametric Mann-Whitney tests.Receiver operating characteristic curve analysis defined the cut-off values as:High PLR>141 for progression and>144 for mortality;high LMR>3.56 for T stage regression(TSR).Poisson and Cox regression models the calculated relative risks/hazard ratios,using NLR,pathologic complete response,TSR,and tumor regression grade(TRG)as independent variables,and overall survival(OS)as the dependent variable.RESULTS This study included 295 patients(mean age,63.7 years;59.7% males).NLR was correlated with survival time(r=0.143,P=0.014).PLR was associated with systemic progression during FLOT(P=0.022)and mortality(P=0.013),with high PLR patients having a 2.2-times higher risk of progression[95% confidence interval(CI):0.89-5.26]and 1.5-times higher risk of mortality(95%CI:0.92-2.55).LMR was associated with TSR,and high LMR patients had a 1.4-times higher risk of achieving TSR(95%CI:1.01-1.99).OS benefit was found with TSR(P=0.015)and partial/complete TRG(P<0.001).Patients without TSR and with no evidence of pathological response had 2.1-times(95%CI:1.14-3.96)and 2.8-times(95%CI:1.6-5)higher risk of death.CONCLUSION Higher NLR is correlated with longer survival time.High LMR patients have a higher risk of decreasing T stage,whereas high PLR patients have higher odds of progressing under FLOT and dying.Patients with TSR and a pathological response have better OS and lower risk of dying.

Yields,growth and water use under chemical topping in relations to row configuration and plant density in drip-irrigated cotton

Background Water deficit is an important problem in agricultural production in arid regions.With the advent of wholly mechanized technology for cotton planting in Xinjiang,it is important to determine which planting mode could achieve high yield,fiber quality and water use efficiency(WUE).This study aimed to explore if chemical topping affected cotton yield,quality and water use in relation to row configuration and plant densities.Results Experiments were carried out in Xinjiang China,in 2020 and 2021 with two topping method,manual topping and chemical topping,two plant densities,low and high,and two row configurations,i.e.,76 cm equal rows and 10+66 cm narrow-wide rows,which were commonly applied in matching harvest machine.Chemical topping increased seed cotton yield,but did not affect cotton fiber quality comparing to traditional manual topping.Under equal row spacing,the WUE in higher density was 62.4%higher than in the lower one.However,under narrow-wide row spacing,the WUE in lower density was 53.3%higher than in higher one(farmers’practice).For machine-harvest cotton in Xinjiang,the optimal row configuration and plant density for chemical topping was narrow-wide rows with 15 plants m-2 or equal rows with 18 plants m-2.Conclusion The plant density recommended in narrow-wide rows was less than farmers’practice and the density in equal rows was moderate with local practice.Our results provide new knowledge on optimizing agronomic managements of machine-harvested cotton for both high yield and water efficient.

Combining lymph node ratio to develop prognostic models for postoperative gastric neuroendocrine neoplasm patients

BACKGROUND Lymph node ratio(LNR)was demonstrated to play a crucial role in the prognosis of many tumors.However,research concerning the prognostic value of LNR in postoperative gastric neuroendocrine neoplasm(NEN)patients was limited.AIM To explore the prognostic value of LNR in postoperative gastric NEN patients and to combine LNR to develop prognostic models.METHODS A total of 286 patients from the Surveillance,Epidemiology,and End Results database were divided into the training set and validation set at a ratio of 8:2.92 patients from the First Affiliated Hospital of Soochow University in China were designated as a test set.Cox regression analysis was used to explore the relationship between LNR and disease-specific survival(DSS)of gastric NEN patients.Random survival forest(RSF)algorithm and Cox proportional hazards(CoxPH)analysis were applied to develop models to predict DSS respectively,and compared with the 8th edition American Joint Committee on Cancer(AJCC)tumornode-metastasis(TNM)staging.RESULTS Multivariate analyses indicated that LNR was an independent prognostic factor for postoperative gastric NEN patients and a higher LNR was accompanied by a higher risk of death.The RSF model exhibited the best performance in predicting DSS,with the C-index in the test set being 0.769[95%confidence interval(CI):0.691-0.846]outperforming the CoxPH model(0.744,95%CI:0.665-0.822)and the 8th edition AJCC TNM staging(0.723,95%CI:0.613-0.833).The calibration curves and decision curve analysis(DCA)demonstrated the RSF model had good calibration and clinical benefits.Furthermore,the RSF model could perform risk stratification and individual prognosis prediction effectively.CONCLUSION A higher LNR indicated a lower DSS in postoperative gastric NEN patients.The RSF model outperformed the CoxPH model and the 8th edition AJCC TNM staging in the test set,showing potential in clinical practice.

A gated recurrent unit model to predict Poisson’s ratio using deep learning

Static Poisson’s ratio(vs)is crucial for determining geomechanical properties in petroleum applications,namely sand production.Some models have been used to predict vs;however,the published models were limited to specific data ranges with an average absolute percentage relative error(AAPRE)of more than 10%.The published gated recurrent unit(GRU)models do not consider trend analysis to show physical behaviors.In this study,we aim to develop a GRU model using trend analysis and three inputs for predicting n s based on a broad range of data,n s(value of 0.1627-0.4492),bulk formation density(RHOB)(0.315-2.994 g/mL),compressional time(DTc)(44.43-186.9 μs/ft),and shear time(DTs)(72.9-341.2μ s/ft).The GRU model was evaluated using different approaches,including statistical error an-alyses.The GRU model showed the proper trends,and the model data ranges were wider than previous ones.The GRU model has the largest correlation coefficient(R)of 0.967 and the lowest AAPRE,average percent relative error(APRE),root mean square error(RMSE),and standard deviation(SD)of 3.228%,1.054%,4.389,and 0.013,respectively,compared to other models.The GRU model has a high accuracy for the different datasets:training,validation,testing,and the whole datasets with R and AAPRE values were 0.981 and 2.601%,0.966 and 3.274%,0.967 and 3.228%,and 0.977 and 2.861%,respectively.The group error analyses of all inputs show that the GRU model has less than 5% AAPRE for all input ranges,which is superior to other models that have different AAPRE values of more than 10% at various ranges of inputs.

Serum cystatin C,monocyte/high-density lipoprotein-C ratio,and uric acid for the diagnosis of coronary heart disease and heart failure

BACKGROUND Coronary heart disease(CHD)and heart failure(HF)are the major causes of morbidity and mortality worldwide.Early and accurate diagnoses of CHD and HF are essential for optimal management and prognosis.However,conventional diagnostic methods such as electrocardiography,echocardiography,and cardiac biomarkers have certain limitations,such as low sensitivity,specificity,availability,and cost-effectiveness.Therefore,there is a need for simple,noninvasive,and reliable biomarkers to diagnose CHD and HF.AIM To investigate serum cystatin C(Cys-C),monocyte/high-density lipoprotein cholesterol ratio(MHR),and uric acid(UA)diagnostic values for CHD and HF.METHODS We enrolled 80 patients with suspected CHD or HF who were admitted to our hospital between July 2022 and July 2023.The patients were divided into CHD(n=20),HF(n=20),CHD+HF(n=20),and control groups(n=20).The serum levels of Cys-C,MHR,and UA were measured using immunonephelometry and an enzymatic method,respectively,and the diagnostic values for CHD and HF were evaluated using receiver operating characteristic(ROC)curve analysis.RESULTS Serum levels of Cys-C,MHR,and UA were significantly higher in the CHD,HF,and CHD+HF groups than those in the control group.The serum levels of Cys-C,MHR,and UA were significantly higher in the CHD+HF group than those in the CHD or HF group.The ROC curve analysis showed that serum Cys-C,MHR,and UA had good diagnostic performance for CHD and HF,with areas under the curve ranging from 0.78 to 0.93.The optimal cutoff values of serum Cys-C,MHR,and UA for diagnosing CHD,HF,and CHD+HF were 1.2 mg/L,0.9×10^(9),and 389μmol/L;1.4 mg/L,1.0×10^(9),and 449μmol/L;and 1.6 mg/L,1.1×10^(9),and 508μmol/L,respectively.CONCLUSION Serum Cys-C,MHR,and UA are useful biomarkers for diagnosing CHD and HF,and CHD+HF.These can provide information for decision-making and risk stratification in patients with CHD and HF.

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.

Predictive Ability of Hypertriglyceridemic Waist,Hypertriglyceridemic Waist-to-Height Ratio,and Waist-to-Hip Ratio for Cardiometabolic Risk Factors Clustering Screening among Chinese Children and Adolescents

Objective Hypertriglyceridemic waist(HW),hypertriglyceridemic waist-to-height ratio(HWHtR),and waist-to-hip ratio(WHR)have been shown to be indicators of cardiometabolic risk factors.However,it is not clear which indicator is more suitable for children and adolescents.We aimed to investigate the relationship between HW,HWHtR,WHR,and cardiovascular risk factors clustering to determine the best screening tools for cardiometabolic risk in children and adolescents.Methods This was a national cross-sectional study.Anthropometric and biochemical variables were assessed in approximately 70,000 participants aged 6–18 years from seven provinces in China.Demographics,physical activity,dietary intake,and family history of chronic diseases were obtained through questionnaires.ANOVA,χ2 and logistic regression analysis was conducted.Results A significant sex difference was observed for HWHtR and WHR,but not for HW phenotype.The risk of cardiometabolic health risk factor clustering with HW phenotype or the HWHtR phenotype was significantly higher than that with the non-HW or non-HWHtR phenotypes among children and adolescents(HW:OR=12.22,95%CI:9.54-15.67;HWHtR:OR=9.70,95%CI:6.93-13.58).Compared with the HW and HWHtR phenotypes,the association between risk of cardiometabolic health risk factors(CHRF)clustering and high WHR was much weaker and not significant(WHR:OR=1.14,95%CI:0.97-1.34).Conclusion Compared with HWHtR and WHR,the HW phenotype is a more convenient indicator with higher applicability to screen children and adolescents for cardiovascular risk factors.

Neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio:Markers predicting immune-checkpoint inhibitor efficacy and immune-related adverse events

We conducted a comprehensive review of existing prediction models pertaining to the efficacy of immune-checkpoint inhibitor(ICI)and the occurrence of immune-related adverse events(irAEs).The predictive potential of neutrophil-to-lymphocyte ratio(NLR)and platelet-to-lymphocyte ratio(PLR)in determining ICI effectiveness has been extensively investigated,while limited research has been conducted on predicting irAEs.Furthermore,the combined model incor-porating NLR and PLR,either with each other or in conjunction with additional markers such as carcinoembryonic antigen,exhibits superior predictive capabilities compared to individual markers alone.NLR and PLR are promising markers for clinical applications.Forthcoming models ought to incorporate established efficacious models and newly identified ones,thereby constituting a multifactor composite model.Furthermore,efforts should be made to explore effective clinical application approaches that enhance the predictive accuracy and efficiency.

Clinical study of neutrophil-to-lymphocyte ratio and platelet-tolymphocyte ratio in hypertriglyceridemia-induced acute pancreatitis and acute biliary pancreatitis with persistent organ failure

BACKGROUND The neutrophil-to-lymphocyte ratio(NLR)and platelet-to-lymphocyte ratio(PLR)are novel inflammatory indicators that can be used to predict the severity and prognosis of various diseases.We categorize acute pancreatitis by etiology into acute biliary pancreatitis(ABP)and hypertriglyceridemia-induced acute pancreatitis(HTGP).AIM To investigate the clinical significance of NLR and PLR in assessing persistent organ failure(POF)in HTGP and ABP.METHODS A total of 1450 patients diagnosed with acute pancreatitis(AP)for the first time at Shanxi Bethune Hospital between January 2012 and January 2023 were enrolled.The patients were categorized into two groups according to the etiology of AP:ABP in 530 patients and HTGP in 241 patients.We collected and compared the clinical data of the patients,including NLR,PLR,and AP prognostic scoring systems,within 48 h of hospital admission.RESULTS The NLR(9.1 vs 6.9,P<0.001)and PLR(203.1 vs 160.5,P<0.001)were significantly higher in the ABP group than in the HTGP group.In the HTGP group,both NLR and PLR were significantly increased in patients with severe AP and those with a SOFA score≥3.Likewise,in the ABP group,NLR and PLR were significantly elevated in patients with severe AP,modified computed tomography severity index score≥4,Japanese Severity Score≥3,and modified Marshall score≥2.Moreover,NLR and PLR showed predictive value for the development of POF in both the ABP and HTGP groups.CONCLUSION NLR and PLR vary between ABP and HTGP,are strongly associated with AP prognostic scoring systems,and have predictive potential for the occurrence of POF in both ABP and HTGP.

Experimental Study of Local Scour Around Four Piles Under Different Attack Angles and Gap Ratios

In an effort to investigate and quantify the patterns of local scour,researchers embarked on an in-depth study using a systematic experimental approach.The research focused on the effects of local scour around a set of four piles,each subjected to different hydromechanical conditions.In particular,this study aimed to determine how different attack angles—the angles at which the water flow impinges on the piles,and gap ratios—the ratios of the spacing between the piles to their diameters,influence the extent and nature of scour.A comprehensive series of 35 carefully designed experiments were orchestrated,each designed to dissect the nuances in how the gap ratio and attack angle might contribute to changes in the local scour observed at the base of pile groups.During these experimental trials,a wealth of local scour data were collected to support the analysis.These data included precise topographic profiles of the sediment bed around the pile groups,as well as detailed scour time histories showing the evolution of scour at strategic feature points throughout the test procedure.The analysis of the experimental data provided interesting insights.The study revealed that the interplay between the gap ratio and the attack angle had a pronounced influence on the scouring dynamics of the pile groups.One of the key observations was that the initial phases of scour,particularly within the first hour of water flow exposure,were characterized by a sharp increase in the scour depth occurring immediately in front of the piles.After this initial rapid development,the scour depth transitioned to a more gradual change rate.In contrast,the scour topography around the piles continuously evolved.This suggests that sediment displacement and the associated sculpting of the seabed around pile foundations are sustained and progressive processes,altering the underwater landscape over time.The results of this empirical investigation have significant implications for the design and construction of offshore multi-pile foundations,providing a critical reference for engineers and designers to estimate the expected scour depth around such structures,which is an integral part of decisions regarding foundation design,selection of structural materials,and implementation of scour protection measures.

Effect of length-width ratio of rounded rectangle aquaculture tank in dual-diagonal-inlet layout on hydrodynamics

To adapt to the change of aquaculture workshop site,optimize the shape of aquaculture tanks and improve the utilization rate of breeding space,it is necessary to determine the appropriate length width ratio parameters of aquaculture tanks.In this paper,computational fluid dynamics(CFD)technology is adopted to study the flow field performance of aquaculture tanks with different L/B ratios(L:the length;B:the width,of aquaculture tank)and different jet direction conditions(lengthways jet and widthways jet).A three-dimensional numerical calculation model of turbulence in rounded rectangle aquaculture tanks in dual-diagonal-inlet layout was established.Jet directions are arranged lengthways and widthways,and the water flow velocity,resistance coefficient change,vorticity,etc.are analyzed under two working conditions.Results show that the flow field performance in aquaculture tank decreases with the increase of the L/B ratio.The flow field performed well when L/B was 1.0-1.3,sharply dropped at 1.4-1.6,and poor at 1.7-1.9.The results provided a theoretical basis for the design and optimization in flow field performance of the industrialized circulating aquaculture tanks.

Effects of the Water-Cement Ratio and the Molding Temperature on the Hydration Heat of Cement

The effects of the water-cement ratio and the molding temperature on the hydration heat of cement were investigated with semi-adiabatic calorimetry.The specimens were prepared with water-cement ratios of 0.31,0.38,and 0.45,and the molding temperature was specified at 10 and 20℃.The experimental results show that,as the water-binder ratio increases,the value of the second temperature peak on the temperature curve of the cement paste decreases,and the age at which the peak appears is delayed.The higher the water-cement ratio,the higher the hydration heat release in the early period of cement hydration,but this trend reverses in the late period.There are intersection points of the total hydration heat curve of the cement pastes under the influence of the water-cement ratio,and this law can be observed at both molding temperatures.With the increase in the molding temperature,the age of the second temperature peak on the temperature curve of the cement paste will advance,but the temperature peak will decrease.The higher the molding temperature,the earlier the acceleration period of the cement hydration began,and the larger the hydration heat of the cement in the early stage,but the smaller the total heat in the late period.A subsection function calculation model of the hydration heat,which was based on the existing models,was proposed in order to predict the heat of the hydration of the concrete.