Diagnostic value of biomarkers for sepsis in adult patients in the emergency department: Don't forget the neutrophil-lymphocyte count ratio

Objective: To determine and compare the diagnostic efficiency of various biomarkers [C-reactive protein, neutrophil percentage, neutrophil-lymphocyte ratio (NLCR), lactate, procalcitonin, blood culture] in the identification of septic patients in emergency department (ED), and to assess the predictive value of combination of markers. Methods: This was a prospective, single centre study conducted in the ED of an urban, tertiary care hospital. We included patients who were admitted to the ED with symptoms of a possible infection. Blood cultures and serum measurement of the biomarkers were collected from 131 patients. Patients were determined to be septic or non-septic, based on the systemic inflammatory response syndrome criteria and the diagnosis was made at the ED. Sensitivity, specificity, positive predictive value, negative predictive value and area under curves (AUC) were calculated. Results: A total of 126 patients, 61 with sepsis and 65 without sepsis were eventually included in the study. Neutrophil to lymphocyte ratio displayed the highest accuracy in diagnosing sepsis (AUC 0.735, 95% CI=0648-0.822, P<0.001). The best combination of markers in predicting sepsis was NLCR and white blood cell (AUC: 0.801, 95% CI=0.724-0.878, P<0.001). Conclusions: The results of this small study showed that NLCR outperforms other markers in diagnosing sepsis in ED. It is readily available, cost efficient, non invasive and independent. It may be insufficient to rely on this single marker to diagnose sepsis, so some other diagnostic utilities should be taken into account as one part of the overall assessment. Our study also showed that combination of NLCR and white blood cell provides the highest diagnostic accuracy. More large scale studies across different population groups will be needed to confirm this finding.

Platelet count/spleen diameter ratio to predict esophageal varices in Mexican patients with hepatic cirrhosis

AIM: To validate whether the platelet count/spleen size ratio can be used to predict the presence of esophageal varices in Mexican patients with hepatic cirrhosis.

Usefulness of white blood cell count to mean platelet volume ratio for predicting long-term prognosis after primary percutaneous coronary intervention in patients with acute coronary syndrome

Background and Objective The white blood cell count to mean platelet volume ratio(WMR)has recently been described as a predictor of cardiovascular events in patients who undergo percutaneous coronary intervention(PCI).The aim of this study was to investigate the usefulness of admission WMR in predicting outcomes in patients with acute coronary syndrome(ACS).

Monocyte-to-lymphocyte ratio as a prognostic factor in peripheral whole blood samples of colorectal cancer patients

BACKGROUND Colorectal cancer is the third most common malignancy worldwide.Therefore,it is critically important to identify new useful markers that can be easily obtained in routine practice.Inflammation is a crucial issue in the pathogenesis and development of cancer.AIM To evaluate the prognostic value of absolute monocyte count,monocyte to lymphocyte ratio(MLR),the combination of neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio(NLR-PLR),and combined platelet and neutrophilto-lymphocyte ratio(PLT-NLR)in peripheral blood samples of patients with colorectal cancer undergoing surgery.METHODS We conducted a retrospective study of 160 patients with colorectal cancer who underwent surgery,and 42 healthy controls.The status of absolute monocyte count,MLR,NLR-PLR and PLT-NLR was calculated on the basis of blood samples obtained before and after surgery.Haematologic factors were examined in correlation with the type of tumour growth,tumour size,histological type,percentage of mucinous component,grade of malignancy,Tumour-Node-Metastasis stage,venous,lymphatic and perineural invasion of cancer cells,status of lymph node invasion and the presence of cancer cell deposits.The Kaplan-Meier method and the long-rank test were used to compare survival curves.To determine independent prognostic factors,univariate and multivariate Cox proportional hazards regression models were applied.RESULTS The PLT-NLR status was correlated with tumour size and the presence of perineural invasion(P=0.015;P=-0.174,P=0.037).Moreover,high NLR-PLR and PLR-NLR ratios in the blood samples obtained after surgery were positively associated with histological type of cancer and percentage of the mucinous component(NLR-PLR:P=0.002;P=0.009;PLR-NLR status:P=0.002;P=0.007).The analysis of 5-year disease-free survival showed that the MLR of whole blood obtained after surgery[HR=2.903,95%CI:(1.368-6.158),P=0.005]and the status of lymph node metastasis[HR=0.813,95%CI:(0.653-1.013),P=0.050]were independent prognostic factors in colorectal cancer patients.CONCLUSION The postoperative MLR in whole blood samples can be used as an independent prognostic factor in patients diagnosed with colorectal cancer.

AMI患者PLT、PDW、PLR水平及其与疾病严重程度的相关性研究

目的探讨急性心肌梗死(AMI)患者血小板计数(PLT)、血小板分布宽度(PDW)、血小板/淋巴细胞比值(PLR)水平及其与疾病严重程度的相关性。方法选取2017年1月至2020年12月苏州市相城区中医医院收治的200例AMI患者作为观察组,另选取同期150例常规体检健康者作为对照组。根据AMI患者随访结果又分为预后不良组和预后良好组。比较观察组和对照组,以及预后良好组和预后不良组PLT、PDW、PLR水平。采用多因素Logistic回归分析AMI患者预后的危险因素。采用Spearman相关分析Killip心功能分级与PLT、PDW、PLR水平的相关性;采用Pearson相关分析PLT、PDW、PLR水平的相关性。结果观察组PLT[(166.32±28.44)×10^(9)/L]高于对照组[(158.77±30.52)×10^(9)/L],PDW[(16.59±4.95)%]高于对照组[(15.54±3.01)%],PLR(162.40±78.85)高于对照组(114.74±12.34),差异均有统计学意义(P<0.05)。预后不良组和预后良好组性别、年龄、体质量指数、吸烟史、糖尿病、高血压、高血脂比较,差异均无统计学意义(P>0.05);预后不良组和预后良好组Killip心功能分级,PLT、PDW、PLR水平比较,差异均有统计学意义(P<0.05)。多因素Logistic回归分析结果显示,PLT、PDW、PLR水平升高是AMI患者预后不良的独立危险因素(P<0.05)。Spearman相关分析结果显示,Killip心功能分级与PLT、PDW、PLR水平均呈正相关(r=0.702、0.664、0.302,P<0.05);Pearson相关分析结果显示,PLT水平与PDW、PLR水平均呈正相关(r=0.361、0.507,P<0.05),PDW水平与PLR水平呈正相关(r=0.596,P<0.05)。结论AMI患者PLT、PDW、PLR水平均升高,并且与AMI患者的Killip心功能分级均呈正相关,PLT、PDW、PLR可作为预测AMI患者预后的良好指标,对预防和治疗AMI有重要临床意义。

基于血清HE4、PLR、RLX、KPNA2构建晚期卵巢上皮性癌术后复发风险预测模型的临床研究

目的探讨基于血清人附睾蛋白4(HE4)、血小板计数/淋巴细胞计数比值(PLR)、血清松弛素(RLX)、核转运蛋白α2(KPNA2)构建晚期卵巢上皮性癌术后复发风险预测模型。方法选取2016年1月至2019年1月苏州市立医院(东区)诊治的124例晚期卵巢上皮性癌患者作为研究对象,根据晚期卵巢上皮性癌患者是否复发分为复发组和无复发组。HE4水平采用电化学发光免疫分析法检测,根据血常规结果计算PLR,酶联免疫吸附试验检测RLX、KPNA2水平。晚期卵巢上皮性癌患者术后复发的影响因素采用多因素Logistic回归分析,并建立晚期卵巢上皮性癌术后复发风险预测模型。采用受试者工作特征(ROC)曲线评估晚期卵巢上皮性癌术后复发风险预测模型的预测效能,利用Hosmer-Lemeshow检验分析患者晚期卵巢上皮性癌术后复发风险预测模型的拟合度。结果复发组与无复发组在肿瘤国际妇产科联盟(FIGO)分期及血清糖类抗原125、HE4、PLR、RLX、KPNA2水平比较,差异有统计学意义(P<0.05)。肿瘤FIGO分期Ⅳ期及血清HE4、PLR、RLX、KPNA2升高是晚期卵巢上皮性癌患者术后复发的危险因素(P<0.05)。ROC曲线分析显示,晚期卵巢上皮性癌术后复发风险预测模型的曲线下面积为0.859,均明显高于HE4、PLR、RLX、KPNA2单一指标检测。通过Hosmer-Lemeshow检验分析,晚期卵巢上皮性癌术后复发风险预测模型有较好的拟合度(χ^(2)=7.869,P=0.437)。结论基于血清HE4、PLR、RLX、KPNA2及肿瘤FIGO分期构建的晚期卵巢上皮性癌术后复发风险预测模型对于评估患者晚期卵巢上皮性癌术后复发具有较高的预测价值,值得临床关注。

Longitudinal changes in personalized platelet count metrics are good indicators of initial 3-year outcome in colorectal cancer

BACKGROUND Platelet count or complete blood count(CBC)-based ratios including lymphocyteto-monocyte(LMR),neutrophil-to-lymphocyte(NLR),hemoglobin-to-platelet(HPR),red blood cell count distribution width-to-platelet(RPR),and platelet-tolymphocyte(PLR)ratio are good predictors of colorectal cancer(CRC)survival.Their change in time is not well documented,however.AIM To investigate the effect of longitudinal CBC ratio changes on CRC survival and their possible associations with clinicopathological properties,comorbidities,and anamnestic data.METHODS A retrospective longitudinal observational study was conducted with the inclusion of 835 CRC patients,who attended at Semmelweis University,Budapest.CBC ratios and two additional newly defined personalized platelet count metrics(pPLT_(D)and pPLT_(S),the platelet counts relative to the measurement at the time of CRC diagnosis and to the one 4-6 wk after tumor removal surgery,respectively)were recorded.RESULTS The 835 CRC patients had a total of 4608 measurements(5.52 visits/patient,in average).Longitudinal survival models revealed that the increases/decreases in LMR[hazard ratio(HR):0.4989,P<0.0001],NLR(HR:1.0819,P<0.0001),HPR(HR:0.0533,P=0.0038),pPLT_(D)(HR:4.9229,P<0.0001),and pPLT_(S)(HR:4.7568,P<0.0001)values were poor prognostic signs of disease-specific survival.The same was obtained for all-cause mortality.Most abnormal changes occurred within the first 3 years after the diagnosis of CRC.RPR and PLR had an only marginal effect on diseasespecific(P=0.0675)and all-cause mortality(Bayesian 95%credible interval:0.90–186.05),respectively.CONCLUSION LMR,NLR,and HPR are good metrics to follow the prognosis of the disease.pPLT_(D)and pPLT_(S)perform just as well as the former,while the use of RPR and PLR with the course of the disease is not recommended.Early detection of the abnormal changes in pPLT_(D),pPLT_(S),LMR,NLR,or HPR may alert the practicing oncologist for further therapy decisions in a timely manner.

外周血NLR、PLR水平与初诊多发性骨髓瘤患者预后的关系探讨

目的探讨外周血中性粒细胞与淋巴细胞计数比值(NLR)和血小板与淋巴细胞计数比值(PLR)水平与初诊多发性骨髓瘤(MM)患者预后的关系。方法回顾性分析86例初诊MM患者的一般资料。对中性粒细胞计数、淋巴细胞计数、血小板计数、Hb、ALB、Cr、Ca、β2微球蛋白水平进行检测,并计算NLR、PLR。根据NLR、PLR水平,将患者分为高NLR组(NLR≥2.54,n=32)、低NLR组(NLR<2.54,n=54)和高PLR组(PLR≥135,n=41)、低PLR组(PLR<135,n=45)。通过Kaplan-Meier曲线明确患者的总生存时间(OS)并行Log-Rank检验,分析不同NLR、PLR水平患者的生存情况。建立风险评估模型,经受试者工作特征曲线(ROC)分析NLR、PLR评估初诊MM患者预后的诊断效能。结果高NLR组和低NLR组在ISS分期、Ca、Cr、β2微球蛋白水平方面比较差异有统计学意义(P<0.05);高PLR组和低PLR组在ISS分期、Cr、β2微球蛋白水平方面比较差异有统计学意义(P<0.05);高NLR组的生存时间为(13.28±1.99)个月,低NLR组的生存时间为(36.15±5.42)个月,高NLR组的生存时间短于低NLR组(χ^(2)=13.984,P=0.000<0.05);高PLR组的生存时间为(25.31±3.79)个月,低PLR组的生存时间为(33.26±4.98)个月,高PLR组的生存时间短于低PLR组(χ^(2)=8.767,P=0.003<0.05);由ROC曲线分析,NLR、PLR联合检测模式下的AUC值最高,为0.923,灵敏度、特异度分别为92.85%、85.71%。结论外周血NLR、PLR水平与初诊MM患者预后有紧密关联,MM患者的NLR、PLR水平越高,患者的预后越差,生存时间越短。同时应用NLR、PLR联合检测的方式在评估初诊MM患者预后方面具有较高的临床价值。

MHR、PLR及血压变异性与高血压患者颈动脉粥样硬化的相关性分析

目的探究外周血单核细胞计数/高密度脂蛋白比值(MHR)、血小板/淋巴细胞比值(PLR)及血压变异性与高血压患者颈动脉粥样硬化(CAS)的相关性。方法选取2021年2月至2022年8月本院接诊的230例原发性高血压患者展开研究,对所有患者行颈动脉超声检查,将检出CAS斑块形成患者纳入CAS组,未检出患者纳入非CAS组;对所有研究对象行MHR、PLR、24h收缩压变异系数和24h舒张压变异系数的检测和计算;对比CAS组和非CAS组一般资料、MHR、PLR和血压变异性;ROC曲线分析MHR、PLR和血压变异性单独及联合检测对原发性高血压发生CAS的诊断价值;Spearman分析MHR、PLR及血压变异性与原发性高血压CAS相关性。结果相较于非CAS组,CAS组MHR、PLR和血压变异系数(24h收缩压变异系数和24h舒张压变异系数)均明显更高(P<0.05);受试者工作特征曲线(ROC)工作曲线分析结果显示MHR、PLR和血压变异系数(24h收缩压变异系数和24h舒张压变异系数)联合检测高血压发生CAS具有较高诊断价值,AUC为0.906,灵敏度(89.00%)和特异性(85.00%)均较高;Spearman相关性结果显示MHR、PLR、24h收缩压变异系数和24h舒张压变异系数与原发性高血压患者发生CAS均呈显著正相关(均P<0.001)。结论对于高血压发生CAS患者而言,其MHR、PLR、24h收缩压变异系数和24h舒张压变异系数水平均较高,联合检测具有较高诊断价值,且各项指标与疾病之间有显著相关性,可为临床原发性高血压患者发生CAS提供早期诊断方案。

The Lower Peripheral Blood Lymphocyte to Monocyte Ratio Following Completion of First Line Chemotherapy Is a Risk Factor for Predicting Relapse in Patients with Diffuse Large B-Cell Lymphoma

Background and objective: During routine follow up, there is no specific predictor to ascertain relapse after standard first line chemotherapy in diffuse large cell lymphoma. Therefore, this study was designed to assess the prognostic significance of the ratio between absolute lymphocyte and monocyte counts (LMR) in the peripheral blood to verify relapse in diffuse large B cell lymphoma. Patients and methods: A total of 139 patients with newly diagnosed diffuse large B cell lymphoma (DLBCL) were evaluated and treated with CHOP or R-CHOP between the years 2009 and 2016. Three months following completion of first line therapy, Lymphocyte/monocyte ratio (LMR) was calculated from the routine automated complete blood cell count (CBC) attained a plateau after the bone marrow recovery after first line chemotherapy. The absolute lymphocyte count/absolute monocyte count ratio (LMR) was calculated by dividing the ALC by the AMC. Results: ROC curve analysis of 139 patients established 2.8 as cutoff point of LMR for relapse with AUC of 0.97 (95% CI 0.93 - 0.99, P ≤ 0.001). Cox regression analysis was performed to identify factors predicting relapse. In univariate regression analysis, ALC (95% CI 0.003 - 0.03, p ≤ 0.001), AMC (95% CI 15.4 - 128.8, p ≤ 0.001), LMR (95% CI 0.001 - 0.01, p ≤ 0.001), and LDH (95% CI 0.1 - 0.5, p ≤ 0.001) following completion of therapy are significant factors for relapse. Other significant factors for relapse are Ann Arbor stage (95% CI 1.1 - 6.9, P = 0.03), extranodal sites (95% CI 1.2 - 6.1, P = 0.01), age (95% CI 1.3 - 6.5, P = 0.01) and treatment of CHOP protocol (95% CI 0.05 - 0.6, P = 0.007). In a multivariate analysis LMR following completion of therapy was predictive for relapse (95% CI 0.001 - 0.2, P = 0.005). ALC was also significant in multivariate analysis (95% CI 0.01 - 0.8, P = 0.03). LDH following completion of therapy (95% CI 0.2 - 14.9, P = 0.5), AMC following completion of therapy (95% CI 0.3 - 43.1, P = 0.3), age (95% CI 0.9 - 205.4, P = 0.06), extra-nodal sites (95% CI 0.04 - 9.8, P = 0.8), Ann Arbor stage (95% CI 0.3 - 28.7, P = 0.3), and Treatment of CHOP protocol (95% CI 0.01 - 2.4, P = 0.2) were not statistically significant. Conclusion: This study observed that LMR assessed after first line chemotherapy during routine follow up is an independent predictor of relapse and clinical outcome in DLBCL patients. LMR at follow up can be used a simple inexpensive biomarker to alert clinicians for relapse during follow up after standard first line chemotherapy in DLBCL patients.

早期NLR、PLR、N/LP及其联合其他因素在预测重度创伤性颅脑损伤早期预后的研究

目的探讨人外周血早期中性粒细胞-淋巴细胞比值(neutrophil to lymphocyte ratio,NLR)、血小板-淋巴细胞比值(platelet to lymphocyte ratio,PLR)和中性粒细胞-淋巴细胞和血小板比值(neutrophils to lymphocytes and platelets ratio,N/LP)在重度创伤性颅脑损伤(severe traumatic brain injury,sTBI)患者早期结果中的预测价值。方法回顾性分析2014年6月-2016年12月中国医科大学第七临床学院神经外科收治的95例sTBI患者的临床资料。比较预后良好组(n=36)和预后不良组(n=59)患者的早期NLR、PLR和N/LP差异,分析影响预后相关危险因素并绘制森林图,采用多因素logsitic回归确定独立危险因素并构建临床预测模型;绘制出受试者工作特征曲线(receiver operating characteristic curve,ROC),分析并比较NLR、PLR和N/LP单独或联合其他指标构建出的不同临床预测模型的差异。结果sTBI预后良好组和预后不良组早期NLR、PLR和N/LP比较,差异均有统计学意义(P<0.05);多因素logsitic回归分析提示,年龄、入院格拉斯哥昏迷评分(Glasgow coma scale,GCS)、NLR、PLR和N/LP是影响sTBI患者早期结果的独立危险因素,差异有统计学意义(P<0.05)。根据多因素logstic回归分析构建出19个临床预后预测模型,其中NLR+PLR+N/LP及其联合指标(年龄和GCS)模型曲线下面积(area under curve,AUC)均高于同组其他模型,分别为0.912、0.935、0.933和0.954;Age+GCS+NLR+PLR+N/LP预测模型在所有组别中AUC最大,表明该模型预测患者预后的价值最高。结论NLR、PLR和N/LP的升高与sTBI不良预后相关;早期NLR、PLR及N/LP联合年龄和GCS评分在sTBI早期结果预测中具有重要价值。

Activated systemic inflammatory response at diagnosis reduces lymph node count in colonic carcinoma

AIM: To investigate a link between lymph node yield and systemic inflammatory response in colon cancer. METHODS: A prospectively maintained database was interrogated. All patients undergoing curative colonic resection were included. Neutrophil lymphocyte ratio(NLR) and albumin were used as markers of SIR. In keeping with previously studies, NLR ≥ 4, albumin < 35 was used as cut off points for SIR. Statistical analysis was performed using 2 sample t-test and χ~2 tests where appropriate.RESULTS: Three hundred and two patients were included for analysis. One hundred and ninety-five patients had NLR < 4 and 107 had NLR ≥ 4. There was no difference in age or sex between groups. Patients with NLR of ≥ 4 had lower mean lymph node yields than patients with NLR < 4 [17.6 ± 7.1 vs 19.2 ± 7.9(P = 0.036)]. More patients with an elevated NLR had node positive disease and an increased lymph node ratio(≥ 0.25, P = 0.044). CONCLUSION: Prognosis in colon cancer is intimately linked to the patient’s immune response. Assuming standardised surgical technique and sub specialty pathology, lymph node count is reduced when systemic inflammatory response is activated.

术前外周血SII、NLR、PLR对宫颈癌淋巴结转移的评估价值

目的探讨术前外周血系统免疫炎症指数(SII)、中性粒细胞与淋巴细胞比(NLR)、血小板与淋巴细胞比(PLR)与宫颈癌淋巴结转移的相关性,分析其预测价值。方法回顾性分析我院2016年1月至2020年1月收治的191例宫颈癌患者的临床资料,根据组织病理学淋巴结是否转移将其分为转移组(n=31)和未转移组(n=160)。采用单因素和多因素Logistic回归分析淋巴结转移的影响因素;通过受试者工作特征(ROC)曲线分析SII、NLR和PLR预测淋巴结转移的最佳界值和效能;分析SII、NLR和PLR与临床病理特征的关系。结果单因素分析显示,肿瘤≥4cm、脉管浸润、高SII、高NLR、高PLR的患者中淋巴结转移发生率较高(χ^(2)/Z值分别为4.532、8.342、14.363、4.837、11.478,P<0.05);多因素分析显示,肿瘤≥4cm(OR=2.347,95%CI:1.645~4.272)、脉管浸润(OR=1.924,95%CI:1.724~2.236)、高SII(OR=2.458,95%CI:1.557~1.968)、高PLR(OR=1.884,95%CI:1.418~8.654)是宫颈癌患者淋巴结转移的危险因素。ROC分析显示,SII、NLR和PLR预测宫颈癌淋巴结转移的界值分别为424.57、2.45和142.51,曲线下面积(AUC)分别为0.765、0.691、0.715,且三者联合的预测价值更高(AUC=0.836)。高SII组中高龄(≥50岁)、淋巴结转移、肿瘤≥4cm、ⅡA期、脉管浸润比例较高(P<0.05);高NLR和高PLR组中淋巴结转移、肿瘤≥4cm、脉管浸润比例较高(P<0.05)。结论SII、NLR和PLR是宫颈癌淋巴结转移的预测指标,三者联合的预测价值更高;高SII和高PLR是宫颈癌淋巴结转移的危险因素,具有一定的临床指导意义。

IGT、PDW及PLR在冠心病中的研究进展

高血糖、血小板过度激活及炎症反应在冠心病的发生、发展中扮演着重要的角色。目前已经有研究证实糖耐量异常(IGT)、血小板分布宽度(PDW)、血小板计数/淋巴细胞计数的比值(PLR)与冠心病相关,可作为预测冠心病发生及判断疾病预后的因子。本文分析了IGT、PDW、PLR与冠心病相关的最新研究进展,并探讨其可能的机制。

血液中NLR、PLR及SII与儿童腺样体肥大程度的关系

目的 探讨血液中中性粒细胞淋巴细胞比值(NLR)、血小板淋巴细胞比值(PLR)及全身免疫炎症指数(SII)与腺样体肥大患儿腺样体肥大程度的关系。方法 选取2020年2月—2021年2月就诊于我院耳鼻咽喉头颈外科,经电子纤维喉镜确诊为腺样体肥大患儿181例。根据腺样体肥大分型及分度将患儿分为病理性腺样体肥大(Ⅲ~Ⅳ度肥大)组和生理性腺样体肥大(Ⅰ~Ⅱ度肥大)组(A组),进一步将病理性腺样体肥大组患儿分为Ⅲ度肥大组(B组)和Ⅳ度肥大组(C组)。比较各组间血浆NLR、PLR、SII差异,并分析上述指标对患儿腺样体肥大程度的影响。结果 三组患儿间血浆NLR及SII比较差异有显著性(F=27.346、22.533,P<0.001),血浆PLR水平比较则无显著差异(P>0.05),C组患儿血浆NLR、SII显著高于A、B组(P<0.05),B组患儿血浆NLR、SII显著高于A组(P<0.05)。ROC曲线显示血浆NLR、SII诊断病理性腺样体肥大曲线下面积分别为0.809和0.763,NLR诊断病理性腺样体肥大的灵敏度、特异度分别为93.85%和52.94%,SII诊断的灵敏度、特异度分别为42.31%和98.04%;当血浆NLR≥0.57和(或)SII≥356.41时,提示病理性腺样体肥大(Ⅲ度及以上肥大)可能性较大。结论血浆NLR和SII与儿童腺样体肥大程度具有相关性,且可作为初步预测病理性腺样体肥大的简易参考指标。

乙型流感患者外周血NLR、PLR和SII的水平及其临床意义

目的探讨中性粒细胞/淋巴细胞比值(NLR)、血小板/淋巴细胞比值(PLR)、全身免疫炎症指数(SII)在乙型流感患者外周血中的水平变化及临床意义。方法选取2020年1月在上海市浦东新区公利医院门急诊就诊的有流感样症状的154例患者为研究对象,根据乙型流感病毒抗原结果,分为阳性组74例和阴性组80例,另选取同期75例健康体检者为对照组。采集3组对象的静脉血检测血常规,计算NLR、PLR和SII;比较阳性组不同性别的血常规指标及NLR、PLR和SII的水平;采用受试者工作特征(ROC)曲线分析NLR、PLR和SII对乙型流感的预测价值。结果阳性组和阴性组NLR、PLR和SII水平显著高于对照组(H=88.48、58.61、42.16,均P<0.001)。乙型流感患者不同性别间的NLR、PLR和SII水平比较差异无统计学意义(P>0.05)。NLR,PLR和SII对乙型流感预测的ROC面积分别为0.917、0.847和0.793。NLR,PLR和SII的最佳临界值为2.46,134.41和600.45,其对应的灵敏度分别是89.2%、81.1%和68.9%;特异性分别是86.7%、84.0%和85.3%;准确度分别是87.9%、82.5%和77.2%。结论乙型流感患者外周血NLR、PLR和SII升高,NLR、PLR和SII可早期辅助诊断乙型流感。

PLR(血小板/淋巴细胞比值)、嗜酸性粒细胞绝对值计数预测急性脑梗死患者溶栓后出血转化的价值

目的探讨血小板/淋巴细胞比值(Platelet-to-lymphocyte ratio,PLR)、嗜酸性粒细胞绝对值计数预测急性脑梗死患者溶栓后出血转化的价值。方法选取2018年1月至2021年11月医院收治的116例急性脑梗死患者为研究对象,另选取115例健康人群为对照组,收集患者PLR、嗜酸性粒细胞绝对值计数等临床数据。比较不同急性脑梗死患者PLR、嗜酸性粒细胞绝对值计数情况,分析影响急性脑梗死患者溶栓后出血转化的因素,分析PLR、嗜酸性粒细胞绝对值计数预测急性脑梗死患者溶栓后出血转化的价值,比较不同预后患者PLR、嗜酸性粒细胞绝对值计数情况。结果急性脑梗死患者PLR、嗜酸性粒细胞绝对值计数水平高于对照组(P<0.05)。116例急性脑梗死患者中,共有16例发生溶栓后出血转化,发生率为13.79%,记为溶栓后出血转化组;其余100例未出现溶栓后出血转化,记为无溶栓后出血转化组。溶栓后出血转化组及无溶栓后出血转化组患者性别、年龄、吸烟、饮酒、高血压、高血脂、糖尿病、收缩压、发病至介入治疗时长对比,差异均无统计学意义(P>0.05),溶栓后出血转化组的PLR、嗜酸性粒细胞绝对值计数水平均高于无溶栓后出血转化组(P<0.05)。进行Logistic回归分析,多因素分析显示,嗜酸性粒细胞绝对值计数、PLR水平是影响急性脑梗死患者出现溶栓后出血转化的独立危险因素(P<0.05)。ROC曲线结果显示,PLR、嗜酸性粒细胞绝对值计数两者联合预测急性脑梗死患者出现溶栓后出血转化的灵敏度分别为72.73%,特异度为97.70%,AUC为0.884,联合特异度高于单独预测(P<0.05)。结论PLR、嗜酸性粒细胞绝对值计数与急性脑梗死患者溶栓后出血转化有关,联合预测急性脑梗死溶栓后出血转化效能较好。

PLR-PNI对TACE治疗中晚期肝癌生存期的预测分析

目的 探讨血小板/淋巴细胞比值(PLR)和预后营养指数(PNI)联合评分与肝癌患者经导管肝动脉化疗栓塞术(TACE)后生存期的关系。方法 回顾性分析十堰市太和医院95例接受TACE治疗的中晚期肝癌患者的临床和随访资料。计算并分析其PLR和PNI的联合评分对患者生存率的影响。采用Kaplan-Meier法进行生存分析,采用Cox比例风险模型分析患者术后生存期的危险因素。分析不同PLR-PNI联合评分患者术后生存期差异。结果 生存分析显示PLR-PNI联合评分0、1、2分患者的生存率分别为48.7%、26.0%和14.7%(P<0.05);多因素分析显示AFP水平、肿瘤直径、血管侵犯、BCLC分期,PLR-PNI评分是影响TACE术后患者生存期的独立危险因素。结论 患者PLR和PNI联合评分可用于评估肝癌患者经TACE治疗生存期,评分越低的患者生存率越高。

NHR联合PLR对老年退行性心脏瓣膜病患者瓣膜钙化的诊断价值

目的:探讨中性粒细胞/高密度脂蛋白胆固醇比值(NHR)联合血小板/淋巴细胞比值(PLR)对老年退行性心脏瓣膜病(SDHVD)患者瓣膜钙化的诊断价值。方法:选择2019年11月至2021年11月就诊于南通大学附属南通第三医院的229例心脏瓣膜钙化患者作为观察组,选取同期超声心动图结果正常的非心脏瓣膜钙化患者229例作为对照组。血常规分析仪及生化分析仪检测两组患者的指标,计算NHR、PLR,应用受试者工作特征曲线(ROC)评价NHR联合PLR在辅助诊断SDHVD瓣膜钙化中的价值。结果:观察组白细胞计数为6.21(5.25~7.99)×10^(9)/L,高于对照组的5.83(4.54~7.25)×10^(9)/L(P<0.05)。观察组中性粒细胞计数为4.25(3.19~5.54)×10^(9)/L,高于对照组3.52(2.70~4.79)×10^(9)/L(P<0.001)。观察组血小板计数为195.50(152.50~232.50)×10^(9)/L,高于对照组175.00(138.00~213.00)×10^(9)/L(P<0.05),对照组高密度脂蛋白胆固醇1.21(0.98~1.49)mmol/L高于观察组1.11(0.92~1.34)mmol/L(P<0.05)。NHR观察组3.74(2.55~5.69)高于对照组3.07(2.13~4.29)(P<0.001)。PLR观察组147.13(107.99~196.54)高于对照组125.00(97.88~161.21)(P<0.001)。ROC曲线结果显示,将4.56作为NHR阈值,曲线下面积为0.627,诊断SDHVD瓣膜钙化的敏感度和特异性分别为38.90%和81.70%;将138.98作为PLR阈值,曲线下面积为0.624,诊断SDHVD瓣膜钙化敏感度和特异性分别为57.60%和60.30%。联合NHR和PLR诊断SDHVD瓣膜钙化最佳截断值为280.66,曲线下面积为0.681,灵敏度和特异性分别为58.10%和65.10%。结论:SDHVD瓣膜钙化患者NHR和PLR均存在变化,NHR联合PLR可作为SDHVD瓣膜钙化辅助诊断的指标。

红细胞分布宽度与血小板分布宽度可以辅助预测流感合并下呼吸道感染患者预后

目的探讨血细胞计数及相关参数是否可以预测流感合并下呼吸道感染患者的预后。方法回顾性研究2013年至2023年首都医科大学附属北京朝阳医院经急诊医学科、发热门诊或呼吸科收治入院或留观的流感合并下呼吸道感染患者,以28天死亡为研究终点,分为生存组和死亡组,比较分析两组间血细胞计数及相关参数的差异,回归分析死亡的独立预测因素,建模并对模型进行评价。结果此项研究最终纳入417例患者,28天生存组361例(86.6%),死亡组56例(13.4%)。死亡组淋巴细胞计数和血小板计数显著低于生存组,红细胞分布宽度、血小板分布宽度、血小板平均体积及大血小板比率显著高于生存组(P<0.05)。多变量Logistic回归分析筛选独立相关变量,当淋巴细胞计数≤0.68×10^(9)/L,或血小板计数≤147×10^(9)/L,或红细胞分布宽度>12.7%,或血小板分布宽度>13.9 fL时,患者28天死亡风险增加,四个指标建立预测模型的AUC为0.734(95%CI 0.664~0.804),敏感度58.9%,特异度80.4%,阳性预测值32.0%,阴性预测值92.7%,阳性似然比3.01,阴性似然比0.51。模型的一致性指数为0.735,拟合优度Hosmer-Lemeshow检验显示拟合效果较好(P=0.406)。结论淋巴细胞计数、血小板计数、红细胞分布宽度、血小板分布宽度可作为早期预测流感合并下呼吸道感染患者28天死亡风险的指标,以这些指标构建的列线图模型可计算临床实测值所对应的死亡风险概率。