Role of serum cholinesterase and inflammatory markers in the prognosis of stage ⅠA -ⅢA breast cancer / 国际肿瘤学杂志

Objective:To analyze the preoperative and postoperative serum cholinesterase (CHE) levels in patients with stage ⅠA-ⅢA breast cancer who underwent surgical treatment, and to explore the roles of them and peripheral blood inflammatory markers in the prognostic prediction of stage ⅠA-ⅢA breast cancer.Methods:The relevant blood indicators of 152 patients with stage ⅠA-ⅢA breast cancer who underwent surgery and postoperative adjuvant therapy from January 2012 to December 2017 at Affiliated Huai'an Hospital of Xuzhou Medical University were retrospectively studied. The optimal cut-off values of serum CHE levels and peripheral blood inflammatory markers [systemic immune-inflammation index (SII) and systemic inflammatory response index (SIRI) ] were calculated using X-tile 3.6.1 software. Patients were categorized into low and high value groups based on the optimal cutoff values. Kaplan-Meier curves and Cox regression analysis were used to assess the correlation between CHE and peripheral blood inflammation indexes and disease-free survival (DFS). Spearman correlation coefficient and Wilcoxon test were used to assess the correlation and changes of CHE and inflammation indexes before and after treatment. In addition to this, a nomogram prediction model was conscturcted based on independent prognostic factors by R software, which was validated by Bootstrap method.Results:The CHE levels of patients before and after treatment was 8 645.0 (7 251.3, 10 229.3) and 9 309.0 (7 801.0, 10 835.3) U/L, respectively, with a statistically significant difference ( Z=2.73, P=0.006) .The optimal cut-off values for postoperative CHE (Post-CHE), postoperative SII (Post-SII), and postoperative SIRI (Post-SIRI) associated with patients' DFS, being 7 773 U/L, 741, and 0.9, respectively. Univariate analysis showed that tumor size (≤2 cm vs.>2 cm and ≤5 cm: HR=2.55, 95% CI: 1.30-4.99, P=0.006; ≤2 cm vs. >5 cm: HR=8.95, 95% CI: 4.15-19.32, P<0.001), number of positive lymph nodes ( HR=3.84, 95% CI: 2.24-6.58, P<0.001), clinical stage (stage Ⅰ vs. stage Ⅱ: HR=1.52, 95% CI: 0.68-3.39, P=0.309, stage Ⅰ vs. stage Ⅲ: HR=8.12, 95% CI: 3.76-17.55, P<0.001), Ki-67 expression ( HR=2.19, 95% CI: 1.24-3.84, P=0.007), whether radiotherapy ( HR=2.05, 95% CI: 1.19-3.53, P=0.010), Post-CHE ( HR=6.81, 95% CI: 3.94-11.76, P<0.001), Pre-neutrophil to lymphocyte ratio (NLR) ( HR=1.11, 95% CI: 1.02-1.21, P=0.014), Post-NLR ( HR=5.23, 95% CI: 2.78-9.85, P<0.001), Pre-platelet to lymphocyte ratio (PLR) ( HR=2.08, 95% CI: 1.01-4.26, P=0.046), Post-PLR ( HR=7.11, 95% CI: 3.78-13.37, P<0.001), Pre-lymphocyte to monocyte ratio (LMR) ( HR=0.37, 95% CI: 0.20-0.66, P<0.001), Post-LMR ( HR=0.23, 95% CI: 0.13-0.41, P<0.001), Pre-SII ( HR=1.81, 95% CI: 1.05-3.12, P=0.033), Post-SII ( HR=6.12, 95% CI: 3.48-10.76, P<0.001), Pre-SIRI ( HR=2.12, 95% CI: 1.24-3.63, P=0.006), and Post-SIRI ( HR=4.93, 95% CI: 2.87-8.48, P<0.001) were associated with DFS in patients with stage ⅠA-ⅢA breast cancer. Multivariate analysis showed that tumor size (≤2 cm vs. >2 cm and ≤5 cm: HR=2.86, 95% CI: 1.41-5.78, P=0.003; ≤2 cm vs. >5 cm: HR=3.72, 95% CI: 1.50-9.26, P=0.005), number of positive lymph nodes ( HR=4.66, 95% CI: 2.28-9.54, P<0.001), Ki-67 expression ( HR=2.13, 95% CI: 1.15-3.94, P=0.016), Post-CHE ( HR=0.18, 95% CI: 0.10-0.33, P<0.001), Post-SII ( HR=2.71, 95% CI: 1.39-5.29, P=0.004), and Post-SIRI ( HR=3.77, 95% CI: 1.93-7.36, P<0.001) were independent influencing factors for DFS in patients with stage ⅠA-ⅢA breast cancer. Kaplan-Meier survival curve analysis showed that the median DFS of patients in the Ki-67<30% group was not reached, and the median DFS of patients in the Ki-67≥30% group was 89.0 months, and the 3- and 5-year DFS rates were 84.9% vs. 75.9% and 80.8% vs. 64.3%, respectively, with a statistically significant difference ( χ2=7.65, P=0.006) ; the median DFS of patients in the tumor size≤2 cm group was not reached, the median DFS of the 2 cm<tumor size≤5 cm group was 93.5 months, and the median DFS of the tumor size>5 cm group was 26.3 months, and the 3- and 5-year DFS rates were 95.5% vs. 74.6% vs. 42.1%, 86.3% vs. 68.6% vs. 25.3%, with a statistically significant difference ( χ2=40.46, P<0.001) ; the median DFS of patients in the group with the number of positive lymph nodes<4 was not reached, and the median DFS of the group with the number of positive lymph nodes≥4 was 30.7 months, and the 3- and 5-year DFS rates were 87.9% vs. 46.4% and 81.4% vs. 28.6%, respectively, with a statistically significant difference ( χ2= 47.34, P<0.001) ; the median DFS of patients in the Post-CHE<7 773 U/L group was 47.3 months, and the median DFS of patients in the Post-CHE≥7 773 U/L group was not reached, and the 3- and 5-year DFS rates were 52.8 % vs. 88.6% and 27.8% vs. 81.2%, respectively, with a statistically significant difference ( χ2=62.17, P<0.001) ; the median DFS was not achieved in patients in the Post-SII<741 group, and the median DFS was 30.5 months in the Post-SII≥741 group, with 3- and 5-year DFS rates of 88.1% vs. 38.5% and 80.1% vs. 30.8%, respectively, with a statistically significant difference ( χ2=50.78, P<0.001) ; the median DFS of patients in Post-SIRI<0.9 group was not reached, the median DFS of Post-SIRI≥0.9 group was 33.3 months, and the 3- and 5-year DFS rates were 93.5% vs. 46.7% and 84.9% vs. 39.9%, respectively, with a statistically significant difference ( χ2=40.67, P<0.001). Spearman correlation analysis revealed that Post-CHE was not correlated with Post-SII ( r=-0.111, P=0.175), and Post-CHE was negatively correlated with Post-SIRI ( r=-0.228, P=0.005). Post-treatment CHE was elevated compared to preoperative and the median DFS was not reached in patients with elevated CHE group and 61.8 months in patients with reduced CHE group after treatment, with a statistically significant difference ( χ2=25.67, P<0.001). The nomogram based on independent prognostic factors had good predictive performance, with a C-index of 0.893. Conclusion:The serum CHE level exhibited a significant increase following treatment. Postoperative serum CHE combined with SII and SIRI can effectively predict DFS in patients with stage ⅠA-ⅢA breast cancer, and the prognosis of patients with elevated CHE after treatment is better. The nomogram constructed based on independent prognostic factors has good predictive performance for DFS in breast cancer patients.

The value of neutrophil lymphocyte ratio and systemic immune inflammatory index for diagnosis of coronary artery lesions in patients with Kawasaki disease / 中华全科医师杂志

Objective:To investigate the value of neutrophil lymphocyte ratio (NLR) and systemic immune inflammatory index (SII) for the diagnosis of coronary artery lesions in patients with acute phase of Kawasaki disease (KD).Methods:It was a cross-sectional study. Children with acute Kawasaki disease admitted to Linyi Central Hospital from January 2018 to December 2021 were enrolled and divided into the Kawasaki disease complicated with coronary artery disease group (KD-CAL group) and the Kawasaki disease without coronary artery disease group (KD-NCAL group). The demographic data, blood routine and C-reactive protein (CRP) test results before intravenous injection of γ globulin were collected, and NLR and SII were calculated. Multivariate logistic regression model was used to analyze the risk factors of coronary artery disease in children with Kawasaki disease. Receiver operating characteristic (ROC) curve was used to analyze the diagnostic value of NLR and SII for coronary artery lesions in children with Kawasaki disease.Results:A total of 109 children with acute phase of KD aged 1 month to 9 years were enrolled, including 66 boys (60.6%). There were no significant differences in age and gender composition between the KD-CAL group ( n=17) and the KD-NCAL group ( n=92) (all P>0.05). Compared with the KD-NCAL group, the NLR, SII and CRP levels in the KD-CAL group were higher (all P<0.05). Multivariate logistic regression analysis showed that NLR and SII were independent risk factors of coronary artery disease in children with Kawasaki disease (NLR, OR=1.265, 95% CI:1.066-1.502, P=0.007; SII, OR=1.001, 95% CI:1.000-1.002, P=0.015). ROC curve results showed that thearea under the curve ( AUC) of NLR in diagnosis of coronary artery lesions was 0.812 (95% CI:0.703-0.921, P<0.05), taking 5.4 as cutoff value, the sensitivity was 73.9% and specificity was 76.5%; the AUC of SII in diagnosis of coronary artery lesions was 0.830 (95% CI:0.741-0.919, P<0.05), taking 1 623 as the cut-off value, the sensitivity was 66.3% and specificity was 88.2%; the AUC of the combination of NLR and SII was 0.875(95% CI:0.790-0.959, P<0.05), the sensitivity and specificity were 85.9% and 76.5%, respectively. Conclusion:NLR and SII have certain diagnostic value for coronary artery disease in children with acute Kawasaki disease, and the combination of NLR and SII has better value than single index.

Prognostic significance of systemic immune-inflammatory index in patients with acute respiratory distress syndrome / 中华急诊医学杂志

Objective:To evaluate the relationship between systemic immune-inflammatory index (SII) and prognosis of acute respiratory distress syndrome (ARDS).Methods:ARDS patients from the I Medical Information Mart for Intensive CareⅢ were selected as the study objects. Patients were followed up for one year. The primary endpoint was the 30-day mortality rate, and secondary endpoints were the 90-day and one-year mortality rates. Cox proportional hazard regression analysis was used to assess SII as an independent risk factor for ARDS patients, with propensity score matching to control for confounding factors.Results:A total of 723 ARDS patients were included in this study. Patients with SII≥ 3655 had older age, lower SpO 2 levels, and higher simplified acute physiology scoreⅡ (SAPSⅡ) and sequential organ failure assessment (SOFA) scores compared to those with SII <3655. Additionally, the 30-day, 90-day, and one-year mortality rates were higher in patients with SII ≥3655. Cox proportional hazard regression analysis showed that high SII level was an independent risk factor for the prognosis of ARDS at 30 days ( HR=1.68, 95% CI: 1.19-2.36, P=0.0028), 90 days ( HR=1.46, 95% CI: 1.07-1.99, P=0.0170), and one year ( HR=1.34, 95% CI: 1.01-1.77, P=0.0425). Propensity score matching analysis further confirmed the relationship between SII and the prognosis of ARDS patients. Conclusions:SII, as a simple and easily measurable index, is an independent risk factor for the prognosis of ARDS patients.

Diagnostic Value of Peripheral Blood Systemic Immune Inflammatory Index in Histological Chorioamnionitis and Prediction of Adverse Pregnancy Outcomes / 实用妇产科杂志

Objective:To investigate the diagnostic value of peripheral blood systemic immune inflammatory in-dex(SII)in histological chorioamnionitis(HCA)and the predictive value of adverse pregnancy outcomes.Meth-ods:A total of 138 pregnant women with suspected HCA were included from January 2021 to June 2022 in Peo-ple's Hospital of Zhengzhou as the research objects.According to the results of placental pathology examination,they were divided into non-HCA group(66 cases)and HCA group(72 cases).The general clinical data,laboratory indicators and adverse outcome indicators of the two groups were compared,and the relationship between the a-bove indicators and HCA was analyzed by multivariate Logistic regression.ROC curve was used to analyze the predictive value of SII for HCA and adverse pregnancy outcomes.Results:①Logistic regression analysis showed that increased neutrophil percentage(Neut％)and SII could increase the risk of HCA(OR＞1,P＜0.05),and in-creased lymphocyte percentage(Lym％)was beneficial for reducing the risk of HCA(OR＜1,P＜0.05).②ROC curve analysis showed that the area under the curve(AUC)of Neut％and Lym％for diagnosing HCA were 0.628 and 0.638,respectively,while the AUC of SII was higher(0.722),and the diagnostic threshold of SII was 974.49 ×109/L.③The rates of postpartum hemorrhage,neonatal infection and premature delivery in high SII group(SII＞974.49 ×103/L)were higher than those in low SII group(SII ≤974.49 ×109/L),and the difference was statistically significant(P＜0.05).The value of SII in predicting postpartum hemorrhage(AUC 0.708)and neonatal infection(AUC 0.848)were higher than that in preterm birth(AUC 0.637).Conclusions:Abnormal Neut％and Lym％levels increase the risk of HCA to some extent,but the diagnostic value of HCA is average.Peripheral blood SII has high diagnostic value in HCA,and has good predictive value for postpartum hemorrhage and neonatal infection,which is expected to be a new indicator for prenatal diagnosis and prognosis prediction of adverse pregnancy outcomes in HCA.

Correlation of Systemic Immune Inflammatory Index and Tumor Markers with Bone Metastasis of Lung Cancer / 肿瘤防治研究

Objective To evaluate the value of the systemic immune-inflammatory index (SII), CEA, Cyfra21-1, and NSE in predicting and diagnosing bone metastasis of lung cancer. Methods The clinical data of 618 patients with lung cancer were retrospectively analyzed. According to the bone metastasis at baseline, the data of the diagnosis group (patients with bone metastasis at baseline and patients without bone metastasis during follow-up) and the prediction group (patients with bone metastasis during follow-up and patients without bone metastasis during follow-up) were analyzed to determine the correlation between the above indicators and lung cancer bone metastasis. Results Predictive group: SII≥850 and NSE≥58.64 ng/ml were independent risk factors and independent predictors for lung cancer bone metastasis. The AUC of the combined SII+NSE model was 0.662, with a sensitivity of 54.5% and a specificity of 74.5%; it was superior to the predictive value of single factor (95%CI: 0.596-0.728; P < 0.001). Diagnostic group: lung adenocarcinoma, SII≥951.6, CEA≥5.14 ng/ml, NSE≥20.15 ng/ml, and Cyfra21-1≥3.94 ng/ml were independent risk factors for bone metastasis in lung cancer patients (P < 0.05). The AUC of SII alone in the diagnosis of lung cancer bone metastasis was 0.754. The AUC of the SII+Cyfra21-1 combined model was 0.82 which was the largest, with a sensitivity of 74% and a specificity of 78.5%; it was superior to any univariate AUC (P < 0.05). Conclusion The levels of SII, CEA, Cyfra21-1, and NSE in the bone metastasis group are significantly higher than those in the non-bone metastasis group. The predictive and diabnostic values would be improved further when SII combined with other single risk factors.

Construction and efficiency analysis of prediction model for venous thromboembolism risk in the elderly after hip fracture / 中南大学学报(医学版)

OBJECTIVES@#To screen the risk factors for predicting venous thromboembolism (VTE) risk after hip fracture in the elderly, to establish a prediction model based on these factors, and to analyze its prediction efficacy.@*METHODS@#A total of 52 hip fracture patients over 60 years old with VTE admitted to the Department of Orthopaedic Trauma, Xiangya Hospital, Central South University from March 2017 to April 2019 were selected as a thrombus group, and another 52 hip fracture patients over 60 years old without VTE were selected as a control group. The differences of hospitalization data and examination results between the 2 groups were compared. Logistic regression model was used to explore the influence of risk factors on VTE risk after hip fracture in the elderly and construct the prediction model based on these factors. The receiver operating characteristic curve was used to analyze the predictive effectiveness of model, Hosmer-lemeshow goodness of fit test was used to evaluate the fitting degree of prediction model.@*RESULTS@#Univariate analysis showed that injury-admission interval, Caprini score, WBC count, platelet count, neutrophil count, neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, monocyte-to-lymphocyte ratio, systemic immune-inflammatory index (SII), and fibrinogen in the thrombus group were higher than those in the control group (all @*CONCLUSIONS@#SII, Caprini score, and injury-admission interval are independent predictors of VTE after hip fracture in the elderly. The prediction model based on these 3 factors has a good efficacy on the prediction of VTE risk, and could provide important reference for the prevention, management, and treatment of VTE after hip fracture in the elderly.

Índice de inmunidad-inflamación sistémica en sepsis / Systemic immune inflammatory index in sepsis

Resumen ANTECEDENTES: se han estudiado índices de pronóstico de inflamación basados en células periféricas como predictores de disfunción endotelial, riesgo cardiovascular y mortalidad. En 2014 se desarrolló el índice de inmunidad-inflamación sistémica (IIS) que se ha propuesto como factor de pronóstico y de seguimiento en cáncer. OBJETIVO: determinar si existe modificación del índice de inmunidad-inflamación sistémica (IIS) en pacientes con sepsis. MATERIAL Y MÉTODO: estudio retrospectivo que incluyó aleatoriamente a pacientes hospitalizados de 2013 a 2015. Se verificó la homogeneidad de poblaciones demostrando que no existía diferencia estadística entre la edad y comorbilidades (distribución Kolmogorov-Smirnov), frecuencia de comorbilidades (χ2). Se calculó el IIS con la citometría hemática de ingreso. Se compararon las medias del IIS de pacientes con sepsis y sin sepsis (Wilcoxon) y se determinó si había correlación entre el IIS y sepsis (coeficiente de correlación biserial puntual). RESULTADOS: se incluyeron 242 pacientes (128 con sepsis, edad promedio de 70.1 años y 114 sin sepsis, edad promedio de 69.7 años). La media del índice de inmunidad-inflamación sistémica (IIS) en pacientes con sepsis fue 4444.06x109, en pacientes sin sepsis fue de 3013.94x109. Se demostró que existe correlación estadísticamente significativa entre el IIS y sepsis (rbp= 0.150253625, p=0.05), se demostró que la media del IIS fue significativamente más elevada en pacientes con sepsis (W=5,097, p=0.00001). CONCLUSIONES: el índice de inmunidad-inflamación sistémica (IIS), un índice innovador que ha mostrado mejor efectividad para describir el desequilibrio de inmunidad e inflamación, se propone como una herramienta que puede ser útil en pacientes con sepsis; sin embargo, se requieren estudios futuros para comprobar su potencial pronóstico y de seguimiento.

Abstract BACKGROUND: In the past several indices based on peripheral blood cells have been studied to prove their utility as prognostic factors in endothelial dysfunction, cardiovascular risk and mortality. In 2014 the systemic immune inflammatory index (SII) was developed and it has been proposed as a prognostic factor in the follow-up of patients with cancer. OBJECTIVE: To determine if there is a modification of the SII in patients with sepsis. MATERIAL AND METHOD: A retrospective study included randomized patients hospitalized from 2013 to 2015; homogeneity of populations was verified by demonstrating that there was no statistical difference between age and comorbidities (Kolmogorov-Smirnov distribution), frequency of comorbidities (χ2). IIS was calculated with the blood cell count on hospital admission. IIS was compared in sepsis and without sepsis patients (Wilcoxon), and we determined whether there was correlation between IIS and sepsis (correlation coefficient biserial point). RESULTS: There were included 242 patients (128 with sepsis, mean age 70.1 years and 114 without sepsis, mean age 69.7 years). The mean IIS in patients with sepsis was 4444.06x109 and without sepsis 301 3.94x109. We showed that there was statistically significant cor relation between IIS and sepsis (rbp=0.150253625, p=0.05), we also detailed that the mean IIS was significantly higher in patients with sepsis (W=5,097, p=0.00001). CONCLUSIONS: The IIS, an innovative index that has shown accuracy describing the imbalance of immunity and inflammation, is proposed as a tool that can be useful in patients with sepsis; however, further studies are required to prove its potential in prognosis and monitoring.