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Objective:To explore the predictive value of early serum tumor markers (STM) , neutrophil to lymphocyte ratio (NLR) , platelet to lymphocyte ratio (PLR) combination score on the efficacy of gastric cancer immunotherapy.Methods:A total of 76 patients with gastric cancer who received immunotherapy at Second Affiliated Hospital of Shandong First Medical University from January 1, 2020 to June 30, 2022 were selected. Patients' leading STM, NLR, PLR were collected. Optimal cut-off value of NLR and PLR were determined by the receiver operating characteristic (ROC) curve. The clinical efficacy and prognosis of different leading STM, NLR, PLR and combined scores in gastric cancer patients received immunotherapy were analyzed. ROC curve was used to evaluate the predictive efficiency of each index and the combined score. Cox regression model was used to analyze the factors affecting patients' survival.Results:The best truncation value for NLR was 2.75, and the best truncation value for PLR was 175.9. All patients completed at least 2 cycles of immunotherapy, the objective response rate (ORR) was 23.7% (18/76) , and the disease control rate (DCR) was 88.2% (67/76) . There were no significant differences in ORR [ (20.9% (9/43) vs. 27.3% (9/33) ], DCR [83.7% (36/43) vs. 93.9% (31/33) ] between the high NLR group ( n=43) and low NLR group ( n=33) ( χ2=0.42, P=0.519; χ2=1.02, P=0.313) . There were no significant differences in ORR [27.3% (12/44) vs. 18.8% (6/32) ], DCR [81.8% (36/44) vs. 96.9% (31/32) ] between the high PLR group ( n=44) and low PLR group ( n=32) ( χ2=0.75, P=0.388; χ2=2.71, P=0.555) . The ORR for the high combined score group ( n=39) and low combined score group ( n=37) was 17.9% (7/39) and 29.7% (11/37) , respectively, with no statistically significant difference ( χ2=1.46, P=0.230) ; the DCR was 79.5% (31/39) and 97.3% (36/37) , respectively, with a statistically significant difference ( χ2=4.19, P=0.041) . The median progression free survival (PFS) and overall survival (OS) of 76 patients were 8.0 and 12.0 months. The median PFS in the high NLR group and low NLR group was 7.0 and 10.0 months, respectively, with a statistically significant difference ( χ2=7.95, P=0.005) ; the median OS was 12.0 and 14.0 months, respectively, with no statistically significant difference ( χ2=1.04, P=0.307) . The median PFS in the high PLR group and low PLR group was 8.0 and 10.0 months, respectively, with a statistically significant difference ( χ2=3.90, P=0.048) ; the median OS was 13.0 and 13.0 months, respectively, with no significant difference ( χ2=0.02, P=0.896) . The median PFS in the high combined score group and low combined score group was 7.0 and 10.0 months, respectively, with a statistically significant difference ( χ2=13.52, P<0.001) ; the median OS was 12.0 and 14.0 months, respectively, with a statistically significant difference ( χ2=5.02, P=0.025) . ROC curve analysis showed that the area under curve (AUC) of leading STM, NLR, PLR and combined score to predict the efficacy of gastric cancer immunotherapy was 0.662, 0.697, 0.601 and 0.773. Univariate analysis showed that, surgery ( HR=0.59, 95% CI: 0.36-0.95, P=0.031) , leading STM ( HR=0.57, 95% CI: 0.34-0.93, P=0.026) , NLR ( HR=0.54, 95% CI: 0.34-0.87, P=0.011) , combined score ( HR=0.42, 95% CI: 0.26-0.68, P<0.001) were all influencing factors for PFS in gastric cancer patients received immunotherapy; tumor stage ( HR=0.30, 95% CI: 0.12-0.75, P=0.011) , leading STM ( HR=0.28, 95% CI: 0.15-0.50, P<0.001) , combined score ( HR=0.55, 95% CI: 0.31-0.96, P=0.036) were all influencing factors for OS in gastric cancer patients received immunotherapy. Multivariate analysis showed that, leading STM ( HR=0.56, 95% CI: 0.33-0.98, P=0.041) was an independent influencing factor for PFS in gastric cancer patients received immunotherapy; tumor stage ( HR=0.29, 95% CI: 0.11-0.76, P=0.012) , leading STM ( HR=0.32, 95% CI: 0.17-0.58, P<0.001) , combined score ( HR=0.46, 95% CI: 0.25-0.82, P=0.009) were all independent influencing factors for OS in gastric cancer patients received immunotherapy. Conclusion:The combined score of leading STM, NLR and PLR is an independent factor influencing OS in patients receiving immunotherapy for gastric cancer, and can predict the efficacy of immunotherapy for gastric cancer.
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Objective To explore the correlation between neutrophil-to-lymphocyte ratio(NLR)and Behcet's disease(BD)activity.Methods A total of 103 BD patients were divided into the low activity group(0-4,61 cases)and the high activity group(5-11,42 cases)according to electronic medical record-based disease activity index(EMRAI)score.The white blood cell(WBC),neutrophil(NEU),lymphocyte(LY),platelet(PLT),red blood cell(RBC),hemoglobin(Hb),erythrocyte sedimentation rate(ESR),C-reactive protein(CRP),IgG,IgA,IgM,complement C3 and C4 were detected.NLR and platelet-to-lymphocyte ratio(PLR)were calculated.The correlation between NLR,PLR and ESR,CRP,EMRAI were analyzed.Logistic regression was used to analyze the influencing factors of BD disease activity.Receiver operating characteristic(ROC)curve was drawn to evaluate the effectiveness of NLR in judging BD disease activity.Results WBC,NEU,PLT,ESR,CRP,NLR,PLR,complement C3 and C4 in patients were higher in the high activity group than those in the low activity group(P＜0.05),and there were no significant differences in other indexes(P＞0.05).NLR was positively correlated with ESR,CRP and EMRAI in the whole group,while PLR was positively correlated with ESR,CRP and EMRAI in the whole group(P＜0.05).Logistic regression analysis showed that high NLR was a risk factor for BD disease activity(OR=1.511,95%CI:1.080-2.113,P＜0.05).ROC curve analysis showed that the area under the curve(AUC)of NLR in evaluating BD disease activity was 0.706(95%CI:0.603-0.809).Conclusion NLR is effective in judging the disease activity of BD patients,and can be used as a biological index to evaluate the disease activity of BD.
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Objective To explore the correlation between platelet to lymphocyte ratio(PLR),neutrophil to lymphocyte ratio(NLR)and carotid atherosclerotic(CAS)plaque in patients with type 2 diabetes(T2DM),and the predictive value of PLR and NLR for T2DM complicated with CAS plaque.Methods A total of 369 T2DM patients admitted to the Department of Endocrinology,the Third Affiliated Hospital of Xinxiang Medical University from September 2019 to November 2021 were se-lected as research subjects.The clinical data such as gender,age,course of disease,body mass index(BMI),systolic blood pressure(SBP),diastolic blood pressure(DBP),personal history,and history of past illness of patients were collected by searching the electronic medical record system.Neutrophil(NC)count,lymphocyte count(LC)and platelet(PLT)count were detected by fully automated blood routine analyzer,and PLR,NLR were calculated;the levels of fasting blood glucose(FBG),total cholesterol(TC),triglycerides(TG),high-density lipoprotein-cholesterol(HDL-C)and low-density lipoprotein-cholesterol(LDL-C)were detected by biochemical analyzer;the level of glycosylated hemoglobin(HbA1c)were detected by high-performance liquid chromatography.The T2DM patients were divided into T2DM uncomplicated with CAS plaque group(n=94)and T2DM complicated with GAS plaque group(n=275)based on whether they complicated with CAS plaque or not;the general clinical data,blood indicators,and PLR,NLR of patients were compared between the two groups.The T2DM patients were divided into non plaque group(group A,n=94),1 plaque group(group B,n=79),2 plaque group(group C,n=89),and 3 or more plaques group(group D,n=107)based on the number of CAS plaques;the indicators with statistical differences between T2DM uncomplicated with CAS plaque group and T2DM complicated with CAS plaque group of patients were compared among the four groups.According to the PLR quartile,the patients were divided into P1 group(PLR≤94.87,n=93),P2 group(94.87＜PLR≤117.30,n=91),P3 group(117.30＜PLR ≤ 148.53,n=93),and P4 group(PLR＞148.53,n=92),and the detection rate of CAS plaques of patients was compared among the four groups;according to the NLR quartile,the patients were divided into N1 group(NLR≤1.59,n=92),N2 group(1.59＜NLR≤1.93,n=92),N3 group(1.93＜NLR≤2.50,n=93),and N4 group(NLR＞2.50,n=92),and the detection rate of CAS plaque of patients was compared among the four groups.The risk factors of T2DM complicated with CAS plaque was analysed by multivariate logistic regression analysis,and the predictive efficacy of PLR and NLR for T2DM complicated with CAS plaque were evaluated by receiver operating characteristic(ROC)curve.Results The age,course of T2DM,proportion of patients combined with hyper-tension,SBP,PLR,and NLR of patients in the T2DM complicated with CAS plaque group were significantly higher than those in the T2DM uncomplicated with CAS plaque group,while LC and TG levels were significantly lower than those in the T2DM uncomplicated with CAS plaque group(P＜0.05);there was no significant difference in gender,proportion of patients com-bined with hyperlipidemia,proportion of smoking history,proportion of drinking history,and the levels of DBP,BMI,NC,PLT,TC,HDL-C,LDL-C,FBG,HbA1c between the T2DM uncomplicated with CAS plaque group and T2DM complicated with CAS plaque group(P＞0.05).The age,proportion of patients combined with hypertension,course of T2DM,SBP,PLR,and NLR of patients in group B,group C,and group D were significantly higher than that in group A,while LC level was significantly lower than that in group A(P＜0.05).The TG level of patients in group D was significantly lower than those in group A(P＜0.05);there was no statistically significant difference in TG level of patients among group A,group B,and group C(P＞0.05).The age,proportion of patients combined with hypertension,and course of T2DM of patients in group C and group D were significantly higher than those in group B,while the SBP of patients in group D was significantly higher than that in group B(P＜0.05);there was no statistically significant difference in SBP of patients between group C and group B(P＞0.05).The age,proportion of patients combined with hypertension,course of T2DM,and SBP of patients in group D were significantly higher than those in group C(P＜0.05).There was no statistically significant difference in the levels of LC,TG,and PLR of patients among group B,group C,and group D(P＞0.05).The NLR of patients in group D was significantly higher than that in group B(P＜0.05);there was no statistically significant difference in NLR of patients between group C and group B(P＞0.05),and there was no statistically significant difference in NLR of patients between group D and group C(P＞0.05).The detection rate of CAS plaques of patients in P1 group,P2 group,P3 group,and P4 group showed a significant increase trend(x2=30.610,P=0.000);and the detection rate of CAS plaques of patients in N1 group,N2 group,N3 group,and N4 group showed a significant increase trend(x2=35.170,P=0.000).Multivariate logistic regression analysis showed that age,PLR,and NLR were independent risk factors for T2DM complicated with CAS plaque(odds ratio=1.107,1.017,1.940;P＜0.05).The opti-mal cutoff value of PLR in predicting T2DM complicated with CAS plaque was 119.95,with an area under the curve of 0.680,a sensitivity of 54.7％,and a specificity of 76.3％;the optimal cutoff value of NLR in predicting T2DM complicated with CAS plaque was 1.97,with an area under the curve of 0.698,a sensitivity of 56.5％,and a specificity of 79.6％.Conclusion PLR and NLR are associated with T2DM complicated with CAS plaque,which are independent risk factors for T2DM compli-cated with CAS plaque,and have certain predictive value for T2DM complicated with CAS plaque.
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Objective:To observe the correlation between blood cell-related inflammatory markers and diabetic retinopathy (DR).Methods:A cross-sectional study. From June 2020 to February 2022, the phase Ⅰ data of Beichen Eye Study in Tianjin Medical University Eye Hospital were included in the study. The research contents included questionnaires, routine systemic and ocular examinations, and laboratory blood cell-related indicators including mean platelet volume (MPV), platelet distribution width (PDW), neutrophils, and lymphocytes were performed. Neutrophil/lymphocyte ratio (NLR) and platelet/lymphocyte ratio (PLR) were calculated. The diagnosis and classification of DR referred to the international clinical classification standard of DR. Monocular or binocular DR was defined as DR patients. Participants were categorized into different groups based on whether they had diabetes and whether they had DR. The groups included the no-diabetes group, the diabetes without DR group, and the DR group. The Kruskal-Wallis H test was used for the comparison of quantitative data among multiple groups. Wilcoxon test was used for comparison between the two groups. The χ2 test was used to compare the categorical variables between groups. The variables was adjusted step by step, an unadjusted univariate model was built and the different parameters of the model Ⅰ, Ⅱ, Ⅲ were adjusted. The correlation between MPV, PDW, NLR, PLR, and DR in different models was analyzed by logistic regression. The receiver operating characteristic (ROC) curve was used to analyze the diagnostic efficacy of different NLR models for DR. Results:A total of 3 328 subjects were recruited. Among them, 1 121 (33.68 %, 1 121/3 328) were males and 2 207 (66.32 %, 2 207/3 328) were females. The median age of the included participants was 61.84 (6.05) years. The no-diabetes group, the diabetes without DR group, and the DR group were 2 679, 476, and 173, respectively. There was no significant difference in MPV and PLR among the three groups ( H=5.98, 1.94; P=0.051, 0.379). However, compared with no-diabetes group and the diabetes without DR group, PDW and NLR in the DR group showed an upward trend. In model Ⅲ with completely adjusted related factors, NLR was an independent risk factor for DR in no-diabetes group and DR group [odds ratio ( OR)=1.440, 95% confidence interval ( CI) 1.087-1.920, P=0.041], diabetes without DR group and DR group [ OR=1.990, 95% CI 1.440-2.749, P<0.001]. The results of ROC curve analysis showed that the diagnostic efficiency of NLR model Ⅲ was the highest, the area under the curve was 0.751 (95% CI 0.706-0.796, P<0.001), the optimal cutoff value was 0.390, and the sensitivity and specificity were 74.3% and 64.8%, respectively. Conclusions:The NLR of the DR group is significantly higher than that of the no-diabetes group and diabetes without DR group. NLR is an independent risk factor for DR.
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Objective@#To investigate the associations of multiple immunoinflammatory markers in peripheral blood before and after operation, such as the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), systemic immune-inflammation index (SII) and systemic inflammatory response index (SIRI), with postoperative recurrence and metastasis in oral squamous cell carcinoma (OSCC) patients, to provide a reference for predicting the prognosis of OSCC patients.@*Methods@#This study was approved by the hospital ethics committee, and informed consent was obtained from the patients. A total of 160 patients with primary OSCC who underwent radical surgery were grouped according to preoperative lymph node metastasis, degree of differentiation, clinical T stage, and postoperative recurrence and metastasis. The last preoperative and 1-month postoperative routine blood test results of all the patients were collected to analyze the relationship between peripheral blood inflammatory indicators, including the NLR, PLR, LMR, SII, and SIRI, before and after surgery.The above clinicopathological indicators and postoperative recurrence and metastasis were evaluated in OSCC patients.@*Results@#Among the 160 patients, there was a significant difference in the preoperative SII between the preoperative lymph node metastasis group and the no metastasis group (P<0.05); the preoperative NLR, LMR, SII and SIRI were significantly different among the different differentiation degree groups (P<0.05); and the preoperative SIRI in the different clinical T stage groups were significantly different (P<0.05). The preoperative NLR, SII and SIRI were significantly different between the postoperative recurrence and metastasis group and the no recurrence and metastasis group (P<0.05). Postoperative peripheral blood inflammatory markers were not associated with postoperative metastasis and recurrence. Univariate Cox analysis revealed that among the preoperative peripheral blood inflammatory indicators, the preoperative NLR, PLR, SII and SIRI were the factors influencing recurrence and metastasis in OSCC patients. Multivariate Cox analysis revealed that the preoperative NLR was the only independent risk factor for recurrence and metastasis in OSCC patients among the preoperative peripheral blood inflammatory indicators.@*Conclusion@#Among the peripheral blood inflammatory indicators, the preoperative NLR is an independent risk factor for postoperative recurrence and metastasis in OSCC patients and has certain predictive value.
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Objective To explore the predictive value of peripheral blood inflammatory indicators such as neutrophil-to-lymphocyte ratio(NLR),monocyte-to-lymphocyte ratio(MLR)and platelet-to-lymphocyte ratio(PLR)on the prognosis of patients with primary diagnosis of multiple myeloma(MM).Methods Using a retrospective method,77 patients with first diagnosis of MM admitted to the Department of Hematology of Baise People's Hospital and 77 healthy medical checkups with peripheral blood NLR,MLR and PLR were collected and compared the differences.Then the patients with primary diagnosis of MM were categorized into high NLR group,low NLR group,high MLR group,low MLR group,high PLR group,low PLR group using the mean value as the critical value,and the prognosis of the patients in each group as well as the relationship with overall survival time(OS)were compared.Results The NLR,MLR,and PLR of patients with initial diagnosis of MM were significantly higher than those of healthy controls,and the differences were statistically significant(all P<0.05).Serum β2-microglobulin(β2-MG)levels were higher in patients with high NLR and high MLR than in the low NLR and low MLR groups,and the difference was statistically significant(P<0.05).Patients in the high NLR,high MLR and high PLR groups had less OS and poorer prognosis than those in the low NLR,low MLR and low PLR groups,and the differences were statistically significant(all P<0.05).Univariate Cox regression analysis showed that international staging system(ISS)stage,creatinine(Cr),β2-MG,albumin(ALB),NLR,MLR and PLR were associated with overall survival(P<0.05);multivariate Cox proportional risk regression analysis showed that NLR,MLR,and PLR were not independent risk factors affecting the prognosis of patients with primary diagnosis of MM,and the difference was not statistically significant(P>0.05).According to the number of inflammatory indexes(high NLR,high MLR,high PLR)that affected the prognosis,the patients were divided into 0 or 1 risk factor group,2 risk factor groups and 3 risk factor groups,and the comparison of OS between the three groups was statistically significant(P=0.001).The greater the number of concomitant risk factors for prognosis,the shorter the OS.Conclusion Elevated inflammatory indicators(NLR,MLR,PLR)in patients with primary diagnosis of MM were associated with less OS and poorer prognosis of the patients,and they may be used as indicators to assess the condition and prognosis of patients with primary diagnosis of MM.
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In the non-specific immune system of human, neutrophils, lymphocytes, monocytes and platelets are important components that play a role in regulating and inducing tissue damage and can reflect the body′s level of immunity.These peripheral blood cells are functionally and quantitatively abnormal in the presence of serious infections or immune deficiencies, but these parameters are usually interpreted in isolation.Recent studies have found that comprehensive indicators derived from peripheral blood parameters, such as neutrophil to lymphocyte ratio, platelet to lymphocyte ratio, monocyte to lymphocyte ratio or lymphocyte to monocyte ratio have predictive value for the occurrence and prognosis of diseases.This article reviews the role of these indicators in common childhood diseases and provides a reference for the diagnosis and treatment of some diseases.
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The study aimed to evaluate the predictive value of the neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) for 28-day mortality in patients treated with extracorporeal membrane oxygenation (ECMO). Patients receiving ECMO treatment were selected from the Department of Intensive Care Medicine of Zhejiang Hospital from January 2019 to February 2022. The moment when patients started receiving ECMO treatment was set as the starting point, and death at 28 days was set as the endpoint. The patients were divided into survivors and deaths. Laboratory tests, such as neutrophil, lymphocyte, and platelet counts, using the peripheral blood of all patients were collected within 24 h after ECMO treatment. NLR and PLR were calculated. The risk factors influencing prognosis were analyzed by logistic regression. The correlation between NLR, PLR, acute physiology, and chronic health score Ⅱ (APACHE Ⅱ) was investigated. Receiver operating characteristic (ROC) curve analysis was used to analyze the value of NLR and PLR in predicting the 28-day mortality of patients treated with ECMO. Kaplan-Meier method was used to analyze the cumulative survival of patients at 28 days. The results showed that of 53 patients, 20 survived, and 33 died. The NLR and PLR of the deceased were higher than those of the survivors (NLR: 30.67±14.48 vs. 17.41±7.06;PLR: 303.34±159.23 vs. 191.54±106.03; P<0.001). NLR and PLR were positively correlated with APACHE Ⅱ ( r=0.296, r=0.284, P<0.05). ROC curve analysis showed that the area under the curve (AUC) of NLR and PLR to predict the 28 d death of ECMO-treated patients was 0.805 and 0.714, respectively, and the optimal cutoff values of NLR and PLR were 18.93 and 253.0, respectively. The 28-day fatality rate in patients with NLR≥18.93 was higher than that in patients with NLR<18.93 [86.20%(25/29) vs. 33.33%(8/24), χ2=15.625, P<0.01],that in patients with a PLR≥253.0 was higher than that in patients with PLR<253.0 [82.61%(19/23) vs. 46.67%(14/30), χ2=7.158, P<0.01]. Kaplan-Meier survival curve showed that the 28-day cumulative survival rate of NLR≥18.93 was lower than that of NLR<18.93 [9.00 (2.00, 19.50) d vs. 28.00 (10.75, 28.00) d, Z=-3.124, P<0.01], and that of PLR≥253.0 was lower than that of PLR<253.0 [6.00 (2.00, 19.00) d vs. 28.00 (6.25, 28.00) d, Z=-2.673, P<0.01]. Thus, NLR and PLR have good predictive value for 28-day mortality in patients treated with ECMO.
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OBJECTIVE Aimed to explore the correlation between platelet/lymphocyte ratio(PLR)and adult obstructive sleep apnea syndrome(OSAS).METHODS The data of 249 patients with OSAS were retrospectively analyzed.According to apnea-hypopnea index(AHI),the patients were divided into mild,moderate and severe groups.Meanwhile,there were 70 healthy adults who underwent physical examination in West China Fourth Hospital,Sichuan University in the control group.The differences of PLR between OSAS group and control group were compared.Pearson correlation analysis was used to analyze the correlation between PLR and AHI,percentage of sleep time spent below 90％oxygen saturation(TS90％),the lowest oxygen saturation at night(LSaO2)and body mass index(BMI).Logistic regression was used to analyze the independent risk factors of OSAS.RESULTS There was no significant difference in PLR between OSAS group(1 16.91±40.98)and control group(110.04±36.92)(P＞0.05),but the severe group(112.03±39.68)was significant lower than that of moderate group(125.67±47.00)and mild group(131.22±36.64)(P＜0.05),severe group was lower than that in mild group(P＜0.05).In patients with severe OSAS,the BMI,AHI,microarousal index,maximum hypopnea time and TS90％in the obese group were higher than those without obese,the LSaO2 and PLR were significant lower than those without obese(P＜0.05).Pearson correlation analysis showed a negative correlation between PLR and BMI(r=-0.216,P＜0.01),and negatively correlated with AHI and TS90％,but there was no statistically significant difference(P＞0.05),PLR and LSaO2 were positively correlated(r=0.146,P＜0.05).PLR(OR=1.014,P=0.002)and BMI(OR=1.743,P=0.000)were independent predictors of OSAS.CONCLUSION Serum PLR values in OSAS patients tended to decrease with the increase of AHI values,and PLR was lower in obese patients with severe OSAS,and PLR was also an independent risk factor for OSAS.
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@#Objective Platelet-to-lymphocyte ratio(PLR) has been proved to be a new biomarker of inflammation in various diseases. The purpose of this study was to explore the relationship between PLR and early neurological deterioration(END) in patients with acute ischemic stroke(AIS). Methods We retrospectively analyzed the clinical and laboratory data of 1 116 patients with AIS admitted to the Department of Neurology of Shanghai Yangpu District Central Hospital from May 2018 to October 2020.The patients were grouped for analysis according to whether END occurred within 72 hours. They were also grouped by the quartiles of PLR(platelet count divided by lymphocyte count). Univariable and multivariable logistic regression analyses were used to explore independent factors influencing END in patients with AIS. The predictive ability of PLR for the occurrence of END was evaluated by using a receiver operating characteristic(ROC) curve. Results A total of 1 116 patients with AIS were included in the study,with 125 patients(11.2%) in the END group and 991 patients(88.8%) in the non-END group. The univariable analysis showed that PLR in the END group was significantly higher than that in the non-END group(151.68 vs 132.89,P<0.05). The multivariable analysis showed that the risks of END in the PLR Q3 and Q4 groups were 2.172 times[odds ratio(OR)=2.172,95% confidence interval(CI) 1.201-3.929,P=0.01)]and 2.571 times(OR=2.571,95%CI 1.441-4.589,P=0.001) that of the PLR Q1 group. According to the ROC curve,the area under the curve for PLR predicting END was 0.587(95%CI 0.536-0.639,P< 0.001),and the optimal critical value was 119.40,with a sensitivity of 77.6% and a specificity of 39.4%. Conclusion PLR is an independent risk factor for END in patients with AIS. The increase of PLR is associated with a higher risk of END,which demonstrates certain predictive ability of PLR for the occurrence of END.
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OBJECTIVES@#To systematically evaluate the value of the platelet-to-lymphocyte ratio (PLR) in predicting coronary artery lesions (CAL) in Chinese children with Kawasaki Disease (KD).@*METHODS@#A comprehensive search was conducted in databases including PubMed, Embase, Cochrane Library, Web of Science, China National Knowledge Infrastructure, Wanfang Data, China Biomedical Literature Database, and China Science and Technology Journal Database from inception to December 2022. The quality of the included literature was assessed using the Newcastle-Ottawa Scale, and a Meta analysis was performed using Stata 15.1.@*RESULTS@#A total of ten published reports, involving 3 664 Chinese children with KD, were included in this Meta analysis, of whom 1 328 developed CAL. The Meta analysis revealed a sensitivity of 0.78 (95%CI: 0.71-0.83), specificity of 0.71 (95%CI: 0.61-0.80), overall diagnostic odds ratio of 8.69 (95%CI: 5.02-15.06), and an area under the curve of the summary receiver operating characteristic of 0.82 (95%CI: 0.78-0.85) for PLR in predicting CAL in the children with KD. The sensitivity, specificity, and area under the curve of summary receiver operating characteristic were lower for PLR alone compared to PLR in combination with other indicators. Sensitivity analysis demonstrated the stability of the Meta analysis results with no significant changes upon excluding individual studies. However, a significant publication bias was observed (P<0.001).@*CONCLUSIONS@#PLR demonstrates certain predictive value for CAL in Chinese children with KD.
Subject(s)
Child , Humans , Mucocutaneous Lymph Node Syndrome/pathology , Coronary Vessels/pathology , Lymphocytes , Biomarkers , China , Coronary Artery Disease/pathologyABSTRACT
OBJECTIVES@#Platelet-to-lymphocyte ratio (PLR) has recently been investigated as a new inflammatory marker in many inflammatory diseases, including systemic lupus erythematosus and immunoglobulin A vasculitis. However, there were very few reports regarding the clinical role of PLR in patients with anti-neutrophil cytoplasmic antibody (ANCA) associated vasculitis. This study was thus undertaken to investigate the relationship between inflammatory response and disease activity in Chinese patients with myeloperoxidase-anti-neutrophil cytoplasmic antibody (MPO-ANCA) associated vasculitis. Furthermore, we evaluated whether PLR predicts the progression of end stage of renal disease (ESRD) and all-cause mortality.@*METHODS@#The clinical, laboratory and pathological data, and the outcomes of MPO-ANCA associated vasculitis patients were collected. The Spearman correlation coefficient was computed to examine the association between 2 continuous variables. Cox regression analysis was used to estimate the association between PLR and ESRD or all-cause mortality.@*RESULTS@#A total of 190 consecutive patients with MPO-ANCA associated vasculitis were included in this study. Baseline PLR was positively correlated with CRP (r=0.333, P<0.001) and ESR (r=0.218, P=0.003). PLR had no obvious correlation with Birmingham Vasculitis Activity Score (BVAS). Patients having PLR≥330 exhibited better cumulative renal survival rates than those having PLR<330 (P=0.017). However, there was no significant difference in the cumulative patient survival rates between patients with PLR≥330 and those with PLR<330 at diagnosis (P>0.05). In multivariate analysis, PLR is associated with the decreased risk of ESRD (P=0.038, HR=0.518, 95% CI 0.278 to 0.963). We did not find an association between PLR with all-cause mortality using multivariate analysis (HR=1.081, 95% CI 0.591 to 1.976, P=0.801).@*CONCLUSIONS@#PLR is positively correlated with CRP and ESR. Furthermore, PLR may independently predict the risk of ESRD.
Subject(s)
Humans , Anti-Neutrophil Cytoplasmic Antibody-Associated Vasculitis/diagnosis , Antibodies, Antineutrophil Cytoplasmic/analysis , China/epidemiology , Kidney Failure, Chronic/complications , Lymphocytes , Peroxidase , Retrospective StudiesABSTRACT
Objective: Platelet-to-lymphocyte ratio (PLR) has recently been investigated as a new inflammatory marker in many inflammatory diseases, including systemic lupus erythematosus and immunoglobulin A vasculitis. However, there were very few reports regarding the clinical role of PLR in patients with anti-neutrophil cytoplasmic antibody (ANCA) associated vasculitis. This study was thus undertaken to investigate the relationship between inflammatory response and disease activity in Chinese patients with myeloperoxidase-anti-neutrophil cytoplasmic antibody (MPO-ANCA) associated vasculitis. Furthermore, we evaluated whether PLR predicts the progression of end stage of renal disease (ESRD) and all-cause mortality.Methods:The clinical, laboratory and pathological data, and the outcomes of MPO-ANCA associated vasculitis patients were collected. The Spearman correlation coefficient was computed to examine the association between 2 continuous variables. Cox regression analysis was used to estimate the association between PLR and ESRD or all-cause mortality. Results:A total of 190 consecutive patients with MPO-ANCA associated vasculitis were included in this study. Baseline PLR was positively correlated with CRP (r=0.333, P<0.001) and ESR (r=0.218, P=0.003). PLR had no obvious correlation with Birmingham Vasculitis Activity Score (BVAS). Patients having PLR≥330 exhibited better cumulative renal survival rates than those having PLR<330 (P=0.017). However, there was no significant difference in the cumulative patient survival rates between patients with PLR≥330 and those with PLR<330 at diagnosis (P>0.05). In multivariate analysis, PLR is associated with the decreased risk of ESRD (P=0.038, HR=0.518, 95％CI 0.278 to 0.963). We did not find an association between PLR with all-cause mortality using multivariate analysis (HR=1.081, 95％CI 0.591 to 1.976, P=0.801).Conclusion: PLR is positively correlated with CRP and ESR. Furthermore, PLR may independently predict the risk of ESRD.
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Objective:To study the value of neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) in diagnosing severe Mycoplasma pneumoniae pneumonia (MPP).Methods:A total of 616 cases of MPP patients in the Children′s Hospital of Soochow University from January 2015 to December 2017 were retrospectively analyzed.During the same period, 100 healthy children were selected as the healthy control group.NLR and PLR between MPP group and healthy control group, and those between severe MPP group and ordinary MPP group were compared by t test or rank sum test.Risk factors for severe MPP were identified.Receiver operating characteristic(ROC) curves were plotted to identify the cut-off point of NLR and PLR in distinguishing MPP from healthy subjects. Results:(1)The median of white blood cell count (WBC), neutrophil count (N), platelet count (PLT), NLR, PLR, immunoglobulin M (IgM) and the median percentage of CD3 -CD 19+ , CD 19+ CD 23+ in MPP group were significantly higher than those in healthy control group(8.36×10 9/L vs.7.49×10 9/L, 4.41×10 9/L vs.3.11×10 9/L, 340.92×10 9/L vs.234.00×10 9/L, 1.70 vs.0.91, 112.99 vs.70.34, 1.33 g/L vs.1.29 g/L, 20.95% vs.17.10%, 11.25% vs.9.70%), whereas the median of lymphocyte count (L), IgA and the median percentage of CD3 + , CD3 + CD8 + , and CD3 -CD +(16+ 56) were significantly lower(2.64×10 9/L vs.3.37×10 9/L, 0.86 g/L vs.1.30 g/L, 64.55% vs.68.00%, 23.65% vs.24.90%, 10.50% vs.12.20%)( Z=-3.074, -2.413, -2.972, -1.357, -1.863, -2.251, -4.282, -3.420, -2.221, -4.181, -2.784, -2.024, -2.791, all P<0.05). (2)The median of N, NLR, PLR, IgA, IgG, IgM and the average of percentage of CD3 + , CD3 + CD8 + in severe MPP group were significantly higher than those in ordinary MPP group[5.18×10 9/L vs.3.52×10 9/L, 2.39 vs.1.03, 149.32 vs.94.23, 1.29 g/L vs.0.71 g/L, 9.63 g/L vs.8.19 g/L, 1.40 g/L vs.1.29 g/L, (65.53±9.75)% vs.(62.81±9.89)%, (25.35±6.65)% vs.(23.38±6.91)%], whereas the median of L, the median percentage of CD3 -CD 19+ , and CD 19+ CD 23+ were significantly lower than those of ordinary MPP group(2.02×10 9/L vs.3.25×10 9/L, 17.40% vs.21.50%, 9.00% vs.11.70%)( Z/ t=-7.807, -11.313, -10.452, -8.819, -6.162, -3.047, -3.128, -3.270, -9.402, -5.191, -5.214, all P<0.05). (3)Univariate and multivariate Logistic regression analysis showed that CD3 -CD 19+ was the protective factor for severe MPP, while N, NLR and PLR were the risk factors for severe MPP (all P<0.05), with the risk sequence of NLR>PLR>N.(4)Area under ROC curve analysis of NLR and PLR in the diagnosis of severe MPP: NLR: AUC=0.789, 95% CI: 0.754~0.823, P<0.001; PLR: AUC=0.767, 95% CI: 0.730~0.804, P<0.001; when the critical value of NLR was 1.09, the sensitivity was 98.9%, and the specificity was 70.6%.When the critical value of PLR was 97.47, the sensitivity and specificity were 88.5% and 69.4%. Conclusions:NLR and PLR can be served as independent influencing factors for severe MPP, showing the diagnostic potential in severe MPP.
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Objective:To explore the value of neutrophil to lymphocyte ratio (NLR) and platelet to lymphocyte ratio (PLR) combined with bedside index for severity in acute pancreatitis (BISAP) score in predicting severe acute pancreatitis (SAP) in patients with hypertriglyceridemia pancreatitis (HTGP).Methods:Patients who met the diagnostic criteria of HTGP were retrospectively collected in the Emergency Department of Peking University People's Hospital from January to December in 2019. Patients were assigned to two groups according to the severity of acute pancreatitis: the mild acute pancreatitis group and severe acute pancreatitis (SAP) group. Blood samples were taken within 24 h after the onset of HTGP for analysis. White blood cell count, neutrophil count, lymphocyte count, and other laboratory indicators were detected. BISAP score was performed, and NLR and PLR were calculated in all patients within 24 h of the onset of HTGP. Comparison of various indicators was performed in the two groups. The risk factors of SAP patients with HTGP were analyzed by Logistic regression. The correlation of risk factors was analyzed by correlation. The receiver operating characteristic (ROC) curve was drawn, and the optimal thresholds of NLR and PLR were calculated respectively. The BISAP score, NLR combined with BISAP score (BN score), PLR combined with BISAP score (BP score), and NLR, PLR combined with BISAP score (BNP score) were compared respectively to predict SAP in patients with HTGP.Results:A total of 82 patients were collected. There were significant differences in the proportion of patients with fever, NLR, PLR, lactate dehydrogenase, urea nitrogen, Ranson score, acute physiology and chronic health evaluationⅡ(APACHEⅡ) score and BISAP score between the two groups (all P<0.05). Logistic regression analysis showed that NLR ( OR=1.859, 95% CI: 1.385-2.497, P<0.001), PLR ( OR=1.074, 95% CI: 1.036-1.112, P<0.001) and BISAP score ( OR=2.880, 95% CI: 1.578-5.258, P=0.001) were risk factors for severe HTGP. Correlation analysis confirmed that NLR and PLR were positively correlated with BISAP, APACHE Ⅱand Ranson score. The AUC of BISAP score, BN score, BP score and BNP score for predicting SAP in HTGP were 0.865 (95% CI: 0.787-0.943), 0.925 (95% CI: 0.869-0.981),0.930 (95% CI: 0.885-0.987), and 0.936 (95% CI: 0.874-0.986). Conclusions:NLR and PLR combined with BISAP score has a higher sensitivity to predict the severity of HTGP, which can predict severe pancreatitis within 24 h of the onset of HTGP, so that providing better guidance for treatment.
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Objective:To investigate the clinical significance of the acute physiology and chronic health evaluationⅡ (APACHEⅡ) combined with different systematic inflammation markers (SIMs) including neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and lymphocyte-to-monocyte ratio (LMR)-in adult patients with venous-arterial extracorporeal membrane oxygenation (VA-ECMO).Methods:A total of 89 adult patients with VA-ECMO ( ≥ 3 d) in the Emergency Department of Jiangsu Provincial People's Hospital from January 2017 to June 2020 were retrospectively analyzed. Patients were divided into two groups: survivors ( n=39) and non-survivors ( n=50). The baseline APACHE Ⅱscore and PLR, NLR, LMR before ECMO implantation and at 1, 2, 3 day after ECMO were recorded. Binary logistic regression was used to analyze the risk factors of 28-day mortality in patients with VA-ECMO. The utility of APACHEⅡ score and SIMs alone or combination for predicting clinical prognosis was evaluated using receiver operating characteristic (ROC) curve analysis. The patients were divided into the high risk group and the low risk group according to the best cut-off value, and the difference of ECMO-related complications between the two groups was compared. Results:When combined APACHEⅡ score with SIMs, APACHEⅡ + PLR 48 h + LMR 24 h + LMR 72 h demonstrated the greatest predictive ability with an AUC of 0.833. Compared with the high-risk group, the low-risk group has a lower incidence of acute renal injury, infection, bleeding complications, the use of continuous renal replacement therapy, mechanical ventilation, and a higher hospital survival rate.Conclusions:The combination of APACHEⅡ score and SIMs-PLR, LMR- is better than a single one for death prediction, and it is expected to be a new predictive model for early identification of the risk of death or poor prognosis in patients with VA-ECMO.
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Objective:To evaluate the prognostic value of combined detection of platelet-to-lymphocyte ratio (PLR), neutrophil-to-lymphocyte ratio (NLR) and squamous cell carcinoma antigen (SCC) for patients with advanced cervical squamous cell carcinoma undergoing radical radiotherapy.Methods:Clinical data of 127 patients with advanced cervical squamous cell carcinoma who received radical radiotherapy in the Affiliated Tumor Hospital of Nantong University from January 2016 to February 2019 were analyzed retrospectively. The enrolled cases were divided into the survival group and death group according to the survival at the end of 3 years after treatment. The laboratory indexes of peripheral blood were collected before treatment, PLR and NLR were calculated, and the differences of clinical parameters were compared between two groups. The prediction model was established, and the prediction efficiency of PLR, NLR and SCC alone and combined prediction models for 3-year overall survival (OS) in patients with advanced cervical squamous cell carcinoma was compared through the ROC curve. Univariate and multivariate analyses of prognosis were carried out by binary logistic regression model.Results:A total of 127 patients with advanced cervical squamous cell carcinoma were included in the study. There were 96 cases in the survival group and 31 cases in the death group. There were significant differences between two groups in FIGO stage, longest diameter of tumor, lymph node metastasis, PLR, NLR and SCC (all P<0.05). The area under ROC curve (AUC) of PLR, NLR and SCC was 0.660, 0.712 and 0.700, respectively. The AUC of PLR+NLR+SCC combined prediction model was increased to 0.784. Logistic multivariate analysis showed that FIGO Ⅲ, FIGO Ⅳ, lymph node metastasis, PLR≥205.555, NLR≥3.060 and SCC≥6.950 ng/ml were the independent risk factors for 3-year OS in patients with advanced cervical squamous cell carcinoma (all P<0.05). Conclusions:PLR, NLR and SCC have good value in predicting the 3-year OS of patients with advanced cervical squamous cell carcinoma, and the combined prediction model of PLR+NLR+SCC has higher prediction value.
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Objective:To explore the association of platelet to lymphocyte ratio (PLR) and neutrophil to lymphocyte ratio (NLR) with early gastric cancer (EGC), and to assess the predictive value of PLR and NLR in EGC diagnosis.Methods:From January 1, 2017 to December 31, 2020, 178 patients with EGC, 129 patients with chronic gastritis (CG), 122 patients with gastric intraepithelial neoplasia (GIN) admitted and treated at Taizhou Hospital of Zhejiang Province were enrolled. According to Rand random function and with the ratio of 7 to 3, the patients were divided into training group ( n=301, 125 cases of EGC, 90 cases of CG, 86 cases of GIN) and validation group ( n=128, 53 cases of EGC, 39 cases of CG, 36 cases of GIN). The age, gender, routine blood test, carcinoembryonic antigen (CEA) level, Helicobacter pylori ( H. pylori) infection status and other data of the patients were collected. The routine blood test and clinical characteristics of EGC, CG and GIN patients of the training group, and the routine blood test of EGC patients and CG+ GIN patients (hereinafter referred to as non-EGC group) of training group were compared to analyzed the independent risk factors of EGC. Receiver operator characteristic curve (ROC) was drawn. The optimal cut-off value, area under the curve (AUC), OR, 95% confidence interval (95% CI) of independent risk factors were analyzed for EGC diagnosis and prediction. A diagnostic prediction model was established, and the model was apply to the validation group for validation. Hosmer-Lemeshow test was used to test the fitting degree of the model. Compared the AUC of the model applied to training group with validation group to evaluate the discrimination of model. Kruskal-Wallis H test, Mann-Whitney U test or Wilcoxon rank sum test, chi square test, and univariate and multivariate logistic regression analysis were used for statistical analysis. Results:In the training group, the proportions of males and females in CG, GIN and EGC patients were 50.0% (45/90) and 50.0% (45/90), 61.6% (53/86) and 38.4% (33/86), 69.6% (87/125) and 30.4% (38/125), respectively, and the difference was statistically significant ( χ2=8.49, P=0.014). The proportion of males in EGC patients was higher than that in CG patients, and the difference was statistically significant ( χ2 =8.48, P=0.004). The H. pylori infection rate, age, PLR, NLR, lymphocyte count, neutrophil count, and CEA level of CG, GIN and EGC patients in the training group were 18.9% (17/90), 18.6% (16/86) and 43.2% (54/125); 54.0 years old (45.5 years old, 64.0 years old), 63.0 years old (58.0 years old, 66.3 years old) and 66.0 years old (58.5 years old, 71.0 years old); 113.70 (84.48, 136.09), 120.00 (97.94, 138.37) and 124.29 (101.97, 173.57), 1.55 (1.17, 2.23), 1.71 (1.44, 2.02) and 2.04 (1.57, 2.62), 2.00×10 9/L (1.50×10 9/L, 2.40×10 9/L), 1.75×10 9/L (1.50×10 9/L, 2.40×10 9/L) and 1.60×10 9/L (1.30×10 9/L, 2.05×10 9/L), 3.00×10 9/L (2.38×10 9/L, 3.90×10 9/L), 3.00×10 9/L (2.48×10 9/L, 3.40×10 9/L) and 3.30×10 9/L (2.60×10 9/L, 4.30×10 9/L), 1.70 g/L (1.10 g/L, 2.50 g/L), 2.05 g/L (1.48 g/L, 2.90 g/L) and 2.50 g/L (1.55 g/L, 3.40 g/L), respectively, and the differences were statistically significant ( χ2=21.26, H=41.00, 11.79, 21.13, 10.82, 8.54 and 14.42; all P<0.05). The H. pylori infection rate of EGC patients was higher than that of CG and GIN patients, the ages of EGC and GIN patients were older than that of CG patients, the NLR and PLR levels of EGC patients were higher than those of CG patients, the NLR level of EGC patients was higher than that of GIN patients, the level of lymphocyte count of EGC patients was lower than that of CG patients, and the levels of neutrophil count and CEA were higher than those of CG patients, and the differences were statistically significant( χ2=13.98 and 13.90, Z=-6.13, -4.15, -4.07, -3.25, -3.40, -3.18, -2.62 and -3.74; all P<0.017). The levels of PLR, NLR, neutrophil count and CEA of EGC patients were all higher than those of non-EGC patients(124.29 (101.97, 173.57) vs. 117.97 (101.57, 137.32); 2.04(1.57, 2.62) vs.1.66(1.25, 2.17); 3.30×10 9/L (2.60×10 9/L, 4.30×10 9/L) vs.3.00×10 9/L(2.40×10 9/L, 3.60×10 9/L); 2.50 g/L (1.55 g/L, 3.40 g/L) vs. 1.90 g/L(1.23 g/L, 2.70 g/L)), and the lymphocyte count level was lower than that of non-EGC patients (1.60×10 9/L(1.30×10 9/L, 2.05×10 9/L) vs. 1.80×10 9/L(1.50×10 9/L, 2.20×10 9/L)), and the differences were statistically significant ( Z=-3.23, -4.45, -2.91, -3.30 and -2.35; all P<0.05). The results of ROC analysis showed that the optimal cut-off value of PLR, NLR, CEA, neutrophil count and lymphocyte count was 138.18, 1.76, 2.70 g/L, 3.40×10 9/L, 1.80×10 9/L, respectively. The results of univariate analysis indicated that the gender, age, H. pylori infection, neutrophil count, PLR, NLR, lymphocyte count and CEA were all related to EGC ( χ2=5.98, 27.73, 21.26, 8.26, 10.26, 22.80, 4.81 and 25.91; all P<0.05). The results of multivariate analysis demonstrated that age≥70 years old( OR=9.267, 95% CI 3.239 to 26.514), H. pylori infection ( OR=3.353, 95% CI 1.862 to 6.037), NLR >1.76 ( OR=2.084, 95% CI 1.190 to 3.648), PLR>138.18 ( OR=2.452, 95% CI 1.325 to 4.539), CEA >2.70 g/L ( OR=2.637, 95% CI 1.490 to 4.667) were independent risk factors for EGC (all P<0.05). The Hosmer-Lemeshow test showed that there was no statistically significant difference between the predicted value of the model and the actual observed value ( P>0.05), which indicated that the fitting degree of the model was good. In the training group, the AUC of the diagnostic prediction model was 0.787 (95% CI 0.737 to 0.832, P<0.001). The model was applied to the validation group for validation, and the result showed that the AUC of the model was 0.664 (95% CI 0.576 to 0.745, P<0.001), which indicated that the discrimination of the model was good. Conclusions:PLR and NLR are independent risk factors of EGC, and may help to identify EGC. In this study the established diagnostic model has good discrimination and fitting degree, which can provide important reference information for early clinical diagnosis of EGC, which may facilitate early treatment and improve prognosis of patients.
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Tumor recurrence is the main issue that affects the long-term survival of recipients after liver transplantation for hepatocellular carcinoma. Accurate preoperative evaluation and proper selection of transplant recipients are the key factors affecting the long-term prognosis of recipients undergoing liver transplantation for hepatocellular carcinoma. Neutrophil, lymphocyte, C-reactive protein, platelet and fibrinogen (FIB) are major biomarkers that indicate inflammatory response of the host. Multiple studies have found that these biomarkers may not only represent the inflammatory response, but also could be integrated to predict tumor recurrence and long-term survival rate of the recipients following liver transplantation for hepatocellular carcinoma. These biomarkers mainly consist of neutrophil-to-lymphocyte ratio (NLR), Glasgow prognostic score (GPS), FIB, platelet-to-lymphocyte ratio (PLR) and prognostic nutritional index (PNI), etc. In this article, research progresses on predictive effect of inflammatory biomarkers on prognosis of liver transplantation for hepatocellular carcinoma were reviewed.
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Objective:To analyze the potential role and prognostic value of platelet-to-lymphocyte ratio (PLR) at an early stage in arterial-venous extracorporeal membrane oxygenation (VA -ECMO).Methods:Totally 83 adult patients with VA-ECMO from June 2018 to June 2020 treated at Emergency Department of Jiangsu Provincial Hospital were retrospectively analyzed. Baseline characteristics between survivors ( n=46) and non-survivors ( n=37) were compared. Logistic regression analysis was used to predict the risk factors associated with 28-day mortality in VA-ECMO patients. The cut-off value was calculated by the receiver operating characteristic (ROC) curve. Results:PLR48-h ( OR=1.018,95% CI: 1.001-1.036, P=0.039) and continuous renal replacement therapy (CRRT) ( OR=7.095,95% CI: 1.099-45.799, P=0.039) were relevant risk factors of 28-day mortality in VA-ECMO patients. The cut-off value of PLR48-h was 156.3 [sensitivity: 57.8%, specificity: 86.1%, and area under the curve (AUC): 0.756]. Compared with the high PLR group (>156.3), the incidences of acute kidney injury (AKI) ( P<0.001) and bleeding events ( P=0.013) were significantly higher in the low PLR group (<156.3). Conclusions:The early PLR reduction and CRRT application during VA-ECMO support are related to poor prognosis.