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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 predictive value of inflammatory markers for stroke-associated pneumonia(SAP)in patients with acute ischemic stroke(AIS)based on the nomogram model.Methods According to whether pneumonia occurred,259 AIS patients were divided into SAP group(81 cases)and non-SAP group(178 cases).The clinical data of the two groups were compared.The systemic inflammatory response index(SIRI),systemic immunoinflammatory index(SII)and neutrophil to lymphocyte ratio(NLR)were calculated according to the formula.The variables with statistically significant differences were included in the multivariate binary Logistic regression model to screen out the independent risk factors for SAP in AIS patients.The independent risk factors were used to construct a predictive model,and the predictive ability of the two models,which only included traditional factors and included inflammatory indicators at the same time,was further compared from the aspects of discrimination,calibration,clinical practicability and so on.Reclassification analysis was used to evaluate the extent to which the nomogram model improved the predictive value of SAP risk in AIS patients.Results Compared with those in the non-SAP group,the rates of smoking,diabetes,dysphagia,leukocytes,neutrophils,lymphocytes,triglyceride level,NIHSS score on admission,SIRI,SII and NLR were significantly increased in the SAP group,and the rate of hypertension was decreased(all P＜0.05).Diabetes mellitus(OR =2.505,95%CI:1.070-5.850,P =0.034),dysphagia(OR =3.492,95%CI:1.501-8.119,P =0.004),NIHSS score on admission(OR = 1.310,95%CI:1.188-1.446,P＜0.001),SIRI(OR =2.417,95%CI:1.327-4.401,P =0.008),NLR(OR =1.434,95%CI:1.101-1.860,P =0.007)were independent risk factors for SAP in AIS patients.The area under the curve was 0.788(95%CI:0.725-0.852,P＜0.001)for the prediction model without inflammatory factors and 0.884(95%CI:0.838-0.930,P＜0.001)for the prediction model with independent risk factors.The calibration curve showed a good consistency between the predicted risk and the observed results.The decision curve showed that the model had a significant net benefit for predicting SAP.In addition,by calculating the net reclassification index(NRI)and the comprehensive discriminant improvement index(IDI),it was found that the nomogram model had a significant improvement in predicting the risk of SAP in AIS patients.Internal verification also proves the reliability of the nomogram model.Conclusions SIRI and NLR are independent predictors of SAP in AIS patients on admission.Adding SIRI and NLR to the traditional model can significantly improve the ability to identify the risk of SAP occurrence in AIS patients.
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Objective To investigate the value of short diameter of lymph nodes combined with neutrophil to lymphocyte ratio(NLR)in evaluating lymph node metastasis of cervical cancer by enhanced CT.Methods A total of 82 patients with cervical cancer were selected and divided into metastatic group(n=13)and non-metastatic group(n=69)according to whether lymph node metas-tasis occurred.The clinicopathological features of the two groups were compared,and the relationship between NLR and clinicopath-ology was analyzed.Logistic regression was used to analyze the influencing factors of lymph node metastasis of cervical cancer.The short diameter of lymph nodes and serum NLR were compared between the two groups.Receiver operating characteristic(ROC)curve,DeLong test and compare the area under the curve(AUC)analysis was used to evaluate the value of lymph node metastasis in cervical cancer.The diagnostic efficacy of the above indexes were compared between the two groups.Results The short diameter of lymph nodes and NLR in the metastatic group were(0.686±0.120)cm and 2.23±0.41 respectively,while thosein the non-metastatic group were(0.602±0.106)cm and 1.76±0.30 respectively.The difference between the two groups was statistically signifi-cant(P＜0.05);There was no significant difference in age,growth pattern and vascular infiltration between the metastatic group and the non-metastatic group(P＞0.05).There were significant differences in clinical stage,maximum diameter of tumor,NLR and short diameter of enhanced CT lymph nodes(P＜0.05);The NLR was related to clinical stage,pelvic lymph node metastasis,and the short diameter of lymph nodes on enhanced CT scan(P＜0.05);Clinical stage Ⅲ,maximum diameter of tumor≥4 cm,NLR＞1.80 and short diameter of enhanced CT lymph nodes≥0.632 cm were independent risk factors for cervical cancer lymph node metastasis(P＜0.05);The ROC curve analysis showed that the AUC of the combined detection of cervical cancer was 0.871,higher than that of the enhanced CT lymph nodes short diameter and serum NLR(0.645,0.795),and its specificity was better than that of the independent detection.The best cutoff values of the enhanced CT lymph nodes short diameter and serum NLR were 0.630 cm and 1.91,respectively.Conclusion The short diameter of lymph nodes and the serum NLR can predict lymph node metastasis of cervical cancer,and the combined detection can improve the evaluation efficiency.
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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 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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AIM: To evaluate the neutrophil-to-lymphocyte ratio(NLR)in patients with retinitis pigmentosa(RP)complicated with cataract, and to explore its correlation with the clinical characteristics of RP patients complicated with cataract.METHODS: The retrospective study included 79 RP patients(125 eyes)complicated with cataract who received cataract surgery at our hospital from January 2008 to December 2018, among which 63 cases(63 eyes)were finally enrolled in the RP complicated with cataract group after the exclusion of patients with early age of onset. Another 63 age- and sex-matched patients(63 eyes)with age-related cataract(ARC)who had cataract surgery during the same period in our hospital were enrolled in the ARC group. The clinical data and NLR were collected, and the correlation of clinical manifestations with NLR in RP patients complicated with cataract was analyzed.RESULTS: The NLR in RP patients complicated with cataract was significantly higher than that in the ARC group [1.79(1.32, 2.27)vs 1.58(1.32, 1.98), P=0.032]. NLR was associated with the severity of posterior subcapsular cataract(PSC), zonular deficiency, and preoperative best-corrected visual acuity(>1 LogMAR). Receiver operating curve showed that NLR ≥1.36 could predict higher degrees(>P1)of RP complicated PSC(AUC=0.803, 95%CI 0.672-0.934, P=0.002), NLR ≥2.12 could predict zonular weakness in RP patients complicated with cataract(AUC=0.796, 95%CI 0.665-0.928, P=0.002), while NLR ≥1.51 could predict RP patients with worse preoperative BCVA(AUC=0.667, 95%CI 0.540-0.793, P=0.015).CONCLUSION: NLR in RP patients complicated with cataract is significantly higher than that in ARC patients, and it is correlated with the clinical manifestations of RP patients with cataract. NLR can be used as a potential predictor to evaluate the severity of clinical manifestations of RP complicated with cataract.
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Objective@#To investigate the value of the peripheral blood neutrophil to lymphocyte ratio (NLR) before nimotuzumab combined with neoadjuvant chemotherapy in predicting the short-term efficacy of neoadjuvant therapy for advanced oral squamous cell carcinoma (OSCC).@*Methods@#With the approval of the Ethics Committee and the informed consent of the patients, 59 patients with stage Ⅲ and Ⅳ OSCC who were admitted to the Oral and Maxillofacial Surgery Department of the First Hospital of Shanxi Medical University from September 2020 to June 2023 were enrolled. All the patients had complete clinical data, were pathologically diagnosed with squamous cell carcinoma, and received preoperative and received preoperative nimotuzumab + TP (docetaxel + cisplatin) neoadjuvant chemotherapy. The clinical data were analyzed, and the neutrophil and lymphocyte counts in peripheral blood were collected before and after nimotuzumab combined with neoadjuvant chemotherapy. The NLR was calculated, and the threshold value was calculated using the receiver operating characteristic (ROC) curve. Patients were divided into a high NLR group and a low NLR group according to the NLR threshold before nimotuzumab combined with neoadjuvant chemotherapy with TP. The clinical efficacy after nimotuzumab combined with neoadjuvant chemotherapy with TP was evaluated according to the evaluation criteria for solid tumor efficacy, and the correlation between the NLR and recent neoadjuvant therapy efficacy was analyzed. Immunohistochemical staining was used to detect the expression of epidermal growth factor receptor (EGFR) in OSCC tissues before and after nimotuzumab combined with neoadjuvant chemotherapy with TP and to analyze whether the expression of EGFR differed among the different NLR groups.@*Results@#A total of 59 patients with advanced OSCC were included. According to the ROC curve, the NLR threshold was 2.377, and the patients were divided into a <2.377 group (low NLR group), with 24 patients, and a>2.377 group (high NLR group), with 35 patients. The short-term neoadjuvant therapy effect was significantly greater in the lower NLR group than in the higher NLR group (P<0.05); EGFR expression in both the low NLR group and the high NLR group decreased after nimotuzumab combined with neoadjuvant chemotherapy with TP, and the decrease in the low NLR group was significantly greater than that in the high NLR group (P<0.05).@*Conclusion@#A low NLR before nimotuzumab combined with neoadjuvant chemotherapy with TP is associated with better neoadjuvant therapy outcomes, and such patients are more likely to benefit from preoperative nimotuzumab combined with neoadjuvant chemotherapy.
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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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ABSTRACT Objective Subacute thyroiditis is also known as subacute granulomatous thyroiditis, giant cell thyroiditis, painful thyroiditis, and De Quervain's thyroiditis. Immature granulocytes (IG) and neutrophil-to-lymphocyte ratio (NLR) are new inflammatory markers that are easily detected in routine complete blood count (CBC) tests. The aim of this study was to investigate the role of IG and NLR as markers of treatment response in patients with subacute thyroiditis. Subjects and methods The study included 41 patients with subacute thyroiditis treated and monitored in our outpatient clinic between April 2020 and April 2022. From a retrospective review of medical records, we recorded results of IG, NLR, thyroid-stimulating hormone (TSH), free thyroxine (fT4), free triiodothyronine (fT3), erythrocyte sedimentation rate (ESR), and C-reactive protein (CRP) from blood tests obtained routinely before and after treatment. Results Overall, 31 (75.6%) patients were women and 10 (21.4%) were men. The median age was 41 years (range 22-68 years). The laboratory tests showed the following median (range) results: IG, 0.03 (0.01-0.08); NLR, 3.6 (1.2-5.2); TSH, 0.02 mIU/L (0.01-3.35 mIU/L); fT4, 2.3 ng/dL (1.0-7.0 ng/dL); fT3, 5.6 pmol/L (2.6-15.2 pmol/L); ESR, 49 mm/h (17.0-87 mm/h); and CRP, 73 mg/dL (3.0-188 mg/dL). Conclusion Early diagnosis and treatment of subacute thyroiditis is fundamental. In the present study, the new inflammatory markers IG and NLR, measured routinely on CBC tests, decreased significantly after subacute thyroiditis treatment relative to pretreatment values. After treatment, the NLR change correlated with ESR and CRP changes, while the IG change correlated only with CRP change. These findings suggest that the markers IG and NLR may be used to evaluate treatment response in patients with subacute thyroiditis.
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BackgroundSuicide is one of the serious public health problems worldwide. The relationship between suicide and neutrophil-to-lymphocyte ratio （NLR） may vary in different regions and different age. It is necessary to further investigate the relationship between NLR and suicidal ideation in Chinese children and adolescents with depression. ObjectiveTo explore the correlation between NLR and suicidal ideation in children and adolescents with depression， so as to provide clues for exploring the biomarkers of suicide. MethodsA retrospective analysis of 536 children and adolescents with depression who were hospitalized in the Third People's Hospital of Fuyang from January 2020 to December 2022 and met the diagnostic criteria of the International Classification of Diseases， tenth edition （ICD-10） was performed. Patients were divided into two groups according to whether they reported suicidal ideation. Demographic data， discharge diagnosis， Hamilton Depression Scale-17 item （HAMD-17） score and hematological test data （neutrophil counts， lymphocyte counts） on the second day were collected from medical records. Receiver operating characteristic （ROC） curve was used to determine the optimal cut-off point of NLR for predicting suicidal ideation in children and adolescents with depression， and binary Logistic regression was used to analyze the risk factors for suicidal ideation. ResultsAmong the 536 patients， 429 cases （80.04%） had no suicidal ideation， and 107 cases （19.96%） had suicidal ideation. Compared with patients without suicidal ideation， the HAMD-17 score ［（25.28±8.86） vs. （21.21±8.46）， F=19.400， P<0.01］， neutrophil level ［（3.85±1.68）×109/L vs. （3.15±1.14）×109/L， Z=4.073， P<0.01］， and NLR level ［（1.96±1.50） vs. （1.52±0.71）， Z=3.532， P<0.01］ in the suicidal ideation patients were significantly higher. The optimal critical NLR value determined by the ROC curve was 1.52 （59.80% sensitivity， 58.50% specificity）， with an area under the curve of 0.610. Logistic regression analysis showed that the risk of suicidal ideation was 1.94 times higher in those with high NLR than in the low NLR after controlling for age， sex， age at onset， duration of illness， and HAMD-17 score （OR=1.940， 95% CI： 1.251~3.009， P=0.003）. ConclusionNLR may be a risk factor and potential biomarker influencing suicidal ideation in the children and adolescents with first-episode depression. ［Funded by Scientific Research Project of Fuyang Municipal Health Commission （number， FY2020xg14）］
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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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Objective:To explore the predictive value of neutrophil to lymphocyte ratio (NLR) and systemic immune-inflammation index (SII) of inflammatory markers of peripheral blood cells on the prognosis in the advanced non-small cell lung cancer (NSCLC) patients with immune therapy.Methods:The hematologic and clinical data of 58 patients with advanced non-small cell lung cancer who received the treatment of immune therapy in the First People's Hospital of Chuzhou of Anhui Province from January 2018 to June 2022 were retrospectively analyzed. X-tile software was used to calculate the optimal cut-off values of NLR and SII. All patients were divided into high and low groups according to the optimal cut-off values. The relationship between different NLR, SII and clinicopathological features, clinical efficacy, prognosis of the advanced non-small cell lung cancer patients with immune therapy were analyzed. Cox regression models were used to perform univariate and multivariate analyses of factors affecting patient prognosis.Results:The optimal cut-off values for NLR and SII were 3.2 and 546.5, respectively. There were statistically significant differences in regional lymph node metastasis ( χ2=5.03, P=0.025) and the number of metastatic sites ( χ2=11.60, P=0.001) between patients in the low-NLR group (NLR<3.2, n=26) and the high-NLR group (NLR≥3.2, n=32). There were statistically significant differences in location of the primary site ( χ2=8.34, P=0.004) between patients in the low-SII group (SII<546.5, n=28) and the high-SII group (SII≥546.5, n=30). The objective response rate (ORR) of the low-NLR group [50.00% (13/26) ] was higher than that of the high-NLR group [21.88% (7/32) ], and there was a statistically significant difference ( χ2=5.02, P=0.025) ; the disease control rate (DCR) of the low-NLR group [69.23% (18/26) ] was higher than that of the high-NLR group [50.00% (16/32) ], but there was no statistically significant difference ( χ2=2.19, P=0.139). The ORR of the low-SII group [53.57% (15/28) ] was higher than that of the high-SII group [26.67% (8/30) ]; The DCR of the low-SII group [67.86% (19/28) ] was higher than that of the high-SII group [33.33% (10/30) ], and there were statistically significant differences ( χ2=4.38 , P=0.036; χ2=6.91 , P=0.009). The median overall survival (OS) of patients in the low-NLR group (17.6 months) was longer than that of the high-NLR group (11.7 months), and there was a statistically significant difference ( χ2=11.07, P=0.001). The median OS of patients in the low-SII group (16.5 months) was longer than that of the high-SII group (12.3 months), and there was a statistically significant difference ( χ2=5.53, P=0.019). Univariate analysis showed that Eastern Cooperative Oncology Group (ECOG) score ( HR=2.20, 95% CI: 1.10-4.39, P=0.025), brain metastases ( HR=3.24, 95% CI: 1.61-6.50, P=0.001), the number of transferred sites ( HR=2.83, 95% CI: 1.44-5.57, P=0.003), NLR ( HR=3.22, 95% CI: 1.56-6.66, P=0.002) and SII ( HR=2.18, 95% CI: 1.12-4.24, P=0.021) were all independent influence factors affecting the prognosis of the advanced non-small cell lung cancer patients with immune therapy; multivariate analysis showed that brain metastases ( HR=2.91, 95% CI: 1.22-6.94, P=0.016), NLR ( HR=2.88, 95% CI: 1.17-7.13, P=0.022) and SII ( HR=3.63, 95% CI: 1.40-9.39, P=0.008) were all independent risk factors affecting the prognosis of the advanced non-small cell lung cancer patients with immune therapy. Conclusion:NLR and SII can be used as important indicators for predicting the efficacy of immunotherapy in the advanced NSCLC and elevated NLR and SII can indicate poor prognosis of patients.
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Objective:To investigate the value of neutrophil-to-lymphocyte ratio (NLR) in predicting the prognosis of patients with severe heat stroke.Methods:A retrospective analysis was performed on patients with severe heat stroke hospitalized in the ICU of Changzhou No. 2 People's Hospital from June 2013 to September 2019. The patients were divided into the survival group and death group according to their 30-day survival. The basic data of the patients were recorded. Blood routine, liver and kidney function parameters, troponin, brain natriuretic peptide, myocardial enzyme spectrum, blood coagulation routine, and acute physiology and chronic health evaluation (APACHE)Ⅱ were analyzed within 24 h after admission. Multivariate COX regression analysis was used to screen the risk factors of 30-day death. Spearman correlation test was used to analyze the correlation between NLR and APACHEII score. Receiver operating characteristic (ROC) curves were drawn to assess the predictive value of NLR for the 30-day death in patients with severe heat stroke. Kaplan-Meier survival curve was used to analyze 30-day cumulative survival of high-risk patients.Results:A total of 115 patients with severe heat stroke were included in this study, and they were divided into the survival group ( n=92) and the death group ( n=23) according to the prognosis. NLR in the death group was significantly higher than that in the survival group ( P<0.05). Multivariate COX regression analysis showed that NLR was an independent risk factor for death after adjusting confounders ( HR=1.091, 95% CI: 1.049-1.136, P<0.001). Spearman correlation test showed a correlation between NLR and APACHEII score ( r=0.655, P<0.001). ROC curve analysis showed that NLR had the greatest predictive value for 30-day death, with an area under ROC curve (AUC) of 0.787, a sensitivity of 82.6%, a specificity of 67.4%, and the cut-off value of 7.35. Kaplan-Meier survival analysis curve shows that patients in the below NLR cut-off value group had a significantly higher 30-day survival rate than those in the above NLR cut-off value group ( P<0.001). Conclusions:The increased NLR is a high risk factor for death in patients with severe heat stroke, and helps predict the prognosis of patients with severe heat stroke.
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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:To evaluate neutrophil/lymphocyte ratio(NLR) and the model for end-stage liver disease-sodium(MELD-Na)score in predicting short-term prognosis of patients with HBV-related acute-on-chronic liver failure(HBV-ACLF).Methods:A total of 234 consecutive HBV-ACLF patients(194 males and 40 females, aged 23-85 years)admitted to Hangzhou Xixi Hospital from January 2019 to December 2021 were enrolled. According to the 12-week clinical outcomes, patients were divided into good prognosis group( n=141)and poor prognosis group( n=93). Univariate and multivariate Logistic regression were performed to identify independent risk factors for poor prognosis of HBV-ACLF patients. Receiver operating characteristics(ROC)curve was applied to evaluate the accuracy of risk factors in predicting short-term prognosis of HBV-ACLF patients. Results:The age [(48.7±11.9) vs. (52.5±9.9) years old, t=-2.59, P=0.011], proportion of males [78.0%(110/141) vs. 90.3%(84/93), χ2=5.99, P=0.014], total bilirubin[202.9(141.2, 287.6) vs. 320.0(224.4, 400.0) μmol/L, Z=-5.14, P<0.001], creatinine [71.0(59.0, 78.0) vs. 81.0(64.0, 111.0)μmol/L, Z=-3.98, P<0.001], international normalized ratio[1.66(1.52, 1.86) vs. 1.91(1.66, 2.27), Z=-5.46, P<0.001], leukocyte count[5.16(3.99, 6.95)×10 9/L vs. 6.57(4.83, 8.30)×10 9/L, Z=-4.14, P=0.001], NLR[2.77(2.02, 3.55) vs. 5.48(3.44, 8.53), Z=-8.48, P<0.001], MELD score[22.0(20.0, 24.0) vs. 26.0(24.0, 29.0), Z=-9.22, P<0.001], MELD-Na score[22.8(20.0, 25.6) vs. 29.0(25.0, 36.0), Z=-9.16, P<0.001], liver cirrhosis[77.3%(109/141) vs. 88.2%(82/93), χ2=4.41, P=0.036], hepatorenal syndrome[4/141(2.8%) vs. 12/93(12.9%), χ2=8.91, P=0.003] and the proportion of artificial liver treatment[21/141(14.9%) vs. 24/93(25.8%), χ2=4.30, P=0.038] were significantly elevated in poor prognosis group compared with survival group. Logistic regression analysis showed that NLR( OR=3.76, 95 %CI: 2.10-6.74, P<0.001)and MELD-Na score( OR=2.24, 95 %CI: 1.17-4.29, P=0.015) were independent risk factors for poor short-term prognosis of HBV-ACLF patients. The area under the ROC curve(AUC)of NLR, and MELD-Na for the short-term prognosis of HBV-ACLF patients was 0.792 and 0.822, respectively. The AUC of the combination of NLR with MELD-Na was 0.858, which was significantly higher than that of NLR( Z=-3.04, P=0.001) or MELD-Na score( Z=-2.16, P=0.031)alone. Based on the cut-off value of the combined model, patients were classified into high combined model score (≥0.04) group and low combined model score (<0.04) group, the survival rate of the high group was significantly higher than that of the low group( χ2=67.47, P<0.001). Conclusions:NLR and MELD-Na score are independent risk factors of the short-term prognosis of HBV-ACLF patients. The combination of NLR and MELD-Na score will be beneficial to predict the short-term prognosis of HBV-ACLF patients.
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Objective To explore the effect of neutrophil to lymphocyte ratio(NLR)and other related in-dicators on the prognosis of advanced non-small cell lung cancer patients treated with programmed death 1(PD-1)inhibitor and construct a nomogram prediction model.Methods A total of 198 patients with advanced non-small cell lung cancer who received PD-1 inhibitor treatment in the hospital from February 2020 to April 2022 were selected and followed up to August 2022.According to the clinical outcome,they were divided into the death group(46 cases)and the survival group(152 cases).The clinical data of the death group and the survival group were recorded,and the prognostic factors of advanced non-small cell lung cancer patients trea-ted with PD-1 inhibitor were analyzed.Receiver operating characteristic(ROC)curve was used to analyze the predictive value of NLR,platelet to lymphocyte ratio(PLR)and lymphocyte to monocyte ratio(LMR)for the prognosis of patients.Multivariate Logistic regression model was used to analyze the independent risk factors affecting the prognosis of patients.A prediction nomogram model for the prognosis of patients was construc-ted using R software 4.0"rms"package,and the calibration curve was used to internally validate the nomo-gram prediction model.Results Compared with the survival group,the proportion of smoking,TNM stageⅣ,ECOG score 2,and NLR,PLR,LMR were higher(P<0.05).The area under the curve of NLR,PLR and LMR were 0.707,0.793 and 0.819,respectively,and the optimal cut-off value were 4.72%,179.21%and 3.44%,respectively.Smoking,TNM stage,ECOG score,NLR,PLR,and LMR were independent risk factors for the prognosis of advanced non-small cell lung cancer patients treated with PD-1 inhibitor(P<0.05).The internal validation results show that the nomogram inhibitor treatment of PD-1 model prediction the prognosis of patients with advanced non-small cell lung cancer C-index was 0.847(95%CI 0.769-0.902),the calibra-tion curve tends to be the ideal curve.The threshold value of the nomogram model for predicting the prognosis of patients with advanced non-small cell lung cancer treated with PD-1 inhibitor was>0.22.The nomogram prediction model provided a net clinical benefit,and the net clinical benefit was higher than that of smoking,TNM stage,ECOG score,NLR,PLR and LMR.Conclusion Based on smoking,TNM stage,ECOG score,NLR,PLR,and LMR,a nomogram prediction model for the prognosis of advanced non-small cell lung cancer patients treated with PD-1 inhibitor is constructed,which has important clinical application value.
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Objective:To explore the value of neutrophil to lymphocyte ratio (NLR) , carcinoembryonic antigen (CEA) combined with coagulation indicators prothrombin time (PT) , activated partialthromboplastin time (APTT) , thrombin time (TT) , fibrinogen (FIB) in the differential diagnosis of benign and malignant breast nodules with a diameter of ≤1.0 cm.Methods:Patients with breast nodule diameter ≤1.0 cm who underwent physical examination in the Cancer Hospital of Xinjiang Medical University from January 2017 to March 2023 were selected as the study objects. Patients admitted from January 2017 to June 2020 were defined as the training set, and patients admitted from July 2020 to March 2023 were defined as the validation set. In the training set, there were 83 patients with benign breast nodules and 106 patients with breast cancer; In the validation set, there were 109 patients with benign breast nodules and 136 patients with breast cancer. The influencing factors of benign and malignant breast nodules were analyzed by logistic regression. Binary logistic regression was used to construct the diagnosis and prediction model of benign and malignant breast nodules. Receiver operating characteristic (ROC) curve was used to evaluate the diagnostic performance of each index and diagnostic prediction model for benign and malignant breast nodules.Results:There were statistically significant differences between patients with benign breast nodules and patients with breast cancer in the training and validation sets in neutrophils ( t=6.76, P<0.001; t=9.14, P<0.001) , lymphocytes ( t=7.67, P<0.001; t=17.00, P<0.001) , NLR ( t=13.97, P<0.001; t=17.41, P<0.001) , CEA ( t=33.44, P<0.001; t=8.15, P<0.001) , PT ( t=15.81, P<0.001; t=60.15, P<0.001) , APTT ( t=39.50, P<0.001; t=16.34, P<0.001) , TT ( t=13.34, P<0.001; t=14.37, P<0.001) , FIB ( t=16.66, P<0.001; t=20.30, P<0.001) . The results of univariate analysis showed that neutrophils ( OR=3.52, 95% CI: 1.26-5.37, P=0.036) , lymphocytes ( OR=2.64, 95% CI: 1.52-3.72, P=0.033) , NLR ( OR=1.96, 95% CI: 1.15-3.42, P<0.001) , CEA ( OR=2.16, 95% CI: 1.29-3.05, P<0.001) , PT ( OR=1.75, 95% CI: 1.17-2.69, P<0.001) , APTT ( OR=3.11, 95% CI: 1.55-5.38, P<0.001) , TT ( OR=2.59, 95% CI: 1.38-4.11, P<0.001) , FIB ( OR=2.89, 95% CI: 1.36-4.55, P<0.001) were all influencing factors that affected the benign and malignant breast nodules with a diameter ≤1.0 cm. The results of multivariate analysis showed that NLR ( OR=2.06, 95% CI: 1.32-2.76, P<0.001) , CEA ( OR=1.19, 95% CI: 1.09-1.37, P=0.008) , PT ( OR=1.63, 95% CI: 1.05-2.11, P<0.001) , APTT ( OR=1.52, 95% CI: 1.13-2.34, P<0.001) , TT ( OR=1.64, 95% CI: 1.14-2.74, P<0.001) , FIB ( OR=1.42, 95% CI: 1.11-1.89, P<0.001) were all independent influencing factors on the benign and malignant breast nodules with a diameter ≤1.0 cm. ROC curve analysis results showed that the area under curve (AUC) of NLR, CEA, PT, APTT, TT, FIB in the diagnosis of breast cancer was 0.83, 0.65, 0.69, 0.72, 0.73, 0.70 respectively, in the training set. The sensitivity of NLR in the diagnosis of breast cancer was 76%, and the specificity was 69%. A diagnostic prediction model was established based on statistically significant indicators in multivariate analysis, with logit ( P) =1.76×NLR+21.42×CEA+5.14×PT+5.34×APTT+5.78×TT+6.52×FIB. ROC curve analysis showed that the AUC of the diagnostic prediction model used for patient differential diagnosis in the training and validation sets was 0.81 and 0.80 respectively. The AUC of diagnosis prediction model for breast cancer diagnosis of patients aged ≤60 years old and >60 years old was 0.79 and 0.77 respectively, with sensitivity of 82% and 80%, specificity of 75% and 83% respectively. The AUC of diagnosis prediction model for breast cancer with tumor diameter <0.3 cm, 0.3-0.6 cm and 0.7-1.0 cm was 0.63, 0.74 and 0.91 respectively, with sensitivity of 68%, 73%, 81%, and specificity of 72%, 77%, 84%. Conclusion:NLR, CEA, PT, APTT, TT and FIB are all independent influencing factors that affect the benign and malignant breast nodules with a diameter ≤1.0 cm. The prediction model constructed by NLR and CEA combined with coagulation indexes PT, APTT, TT and FIB has high diagnostic efficiency for benign and malignant breast nodules with a diameter ≤1.0 cm.
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Objective:To explore the correlation of serum adiponectin (APN) , D-dimer (D-D) and neutrophil-to-lymphocyte ratio (NLR) levels with disease severity and prognosis in patients with diabetic foot ulcer infection.Methods:92 patients with diabetic foot ulcer infection in the Nantong Third Hospital Affiliated to Nantong University from Feb. 2020 to Feb. 2021 were selected, and they were divided into mild ( n=30) , moderate ( n=44) and severe ( n=18) patients according to the severity of the disease. The serum APN, D-D and NLR levels in patients with different severity were compared, the relationship between serum APN, D-D and NLR levels and disease severity in patients with diabetic foot ulcer infection were analyzed. Patients were followed up for 1 year, and the prognosis of the patients was counted. Factors affecting serum APN, D-D and NLR levels in patients with diabetic foot ulcer infection were analyzed, and the receiver operating curve (ROC) was used to analyze the value of serum APN, D-D and NLR levels in predicting poor prognosis of patients. Results:There were significant differences in serum APN, D-D and NLR levels in patients with different severity ( P<0.05) . APN level in severe patients was 5.35±0.98, in moderate patients was 7.64±1.25, both lower than that of the mild patients 9.19±1.73 ( P<0.05) . Serum APN level in severe patients was lower than that in moderate patients ( P<0.05) . Serum D-D and NLR levels were 3.49±0.72 and 2.86±0.58 in severe patients, respectively; and they were 3.02±0.63 and 2.24±0.46 in moderate patients, higher than that of mild patients 2.43±0.51; 1.71±0.33 ( P<0.05) . The levels of serum D-D and NLR in severe patients were higher than those in moderate patients ( P<0.05) . Spearman correlation analysis showed that the severity of the disease was negatively correlated with serum APN levels ( r=-0.414, P<0.001) , and positively correlated with serum D-D and NLR levels in patients with diabetic foot ulcer infection ( r=0.387, P<0.001; r=0.461, P<0.001) . Univariate analysis showed that the proportion of severe disease, serum fasting blood glucose, glycosylated hemoglobin, fibrinogen, D-D and NLR levels in patients with poor prognosis were higher than those in patients with good prognosis ( P<0.05) , and the APN level in patients with poor prognosis was lower than that in patients with good prognosis ( P<0.05) . Logistic multivariate regression analysis showed that severe disease, serum glycosylated hemoglobin, APN, D-D, and NLR levels were independent risk factors for poor prognosis in patients with diabetic foot ulcer infection ( P<0.05) . ROC analysis showed that the optimal cut-off points of serum APN, D-D and NLR levels for predicting poor prognosis of patients were 5.73 mg/L, 3.06 mg/L, 2.12, the sensitivity was 78.57%, 82.14%, 85.71%, the specificity was 76.56%, 67.19%, 73.44%, the area under the curve (AUC) was 0.793, 0.784, 0.818, the specificity and AUC of the three were 98.44 %, 0.918, respectively. Conclusions:Serum APN, D-D and NLR levels are related to the severity of the disease in patients with diabetic foot ulcer infection. Clinical detection of serum APN, D-D and NLR levels can be used as sensitive indicators to predict poor prognosis.
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Objective:To investigate the value of derived neutrophil-to-lymphocyte ratio (dNLR) in predicting the prognosis of extensive-stage small cell lung cancer (ES-SCLC) patients treated with the first-line atezolizumab immunotherapy and chemotherapy.Methods:From the Project Data Sphere platform, the clinical data and laboratory test data of 53 ES-SCLC patients who received the first-line atezolizumab immunotherapy and chemotherapy in the global multicenter phase Ⅱ prospective study NCT03041311 from February 2017 to February 2022 were collected. The Contal-O'Quigley method was used to calculate the optimal cut-off value of baseline dNLR for determining the overall survival (OS) of patients. The dNLR higher than or equal to the optimal cut-off value was defined as high dNLR, and less than the optimal cut-off value was defined as low dNLR. According to optimal cut-off value, the dNLR levels at baseline and after 4 cycles of chemotherapy were determined, and dynamic dNLR grouping was performed (low risk: low dNLR at baseline and after 4 cycles of chemotherapy; intermediate risk: high dNLR at baseline or after 4 cycles of chemotherapy; high risk: high dNLR at baseline and after 4 cycles of chemotherapy). The differences in clinicopathological features between the baseline high dNLR group and low dNLR group were analyzed. Kaplan-Meier method was used to draw the OS and progression-free survival (PFS) curves, and log-rank test was used to compare the differences between the two groups. Univariate Cox proportional hazards model was used to analyze the influencing factors of OS and PFS. The time-dependent receiver operating characteristic (ROC) curve was used to evaluate the predictive value of baseline dNLR grouping and dynamic dNLR grouping for 1-year OS rate in ES-SCLC patients receiving the first-line atezolizumab immunotherapy and chemotherapy.Results:Among the 53 patients, 34 (64.20%) were male and 19 (35.80%) were female; 27 (50.90%) were < 65 years old and 26 (49.10%) were ≥65 years old. The optimal cut-off value of baseline dNLR for determining the OS was 1.79. There were 17 cases in low dNLR group and 36 cases in high dNLR group at baseline. The proportion of patients with elevated serum lactate dehydrogenase (LDH) in the baseline high dNLR group was higher than that in the baseline low dNLR group [58.33% (21/36) vs. 17.65% (3/17), χ2 = 7.72, P = 0.005]. The 1-year OS rates of the baseline high and low dNLR groups were 44.0% and 81.9%, and the 1-year PFS rates were 2.5% and 17.6%. The differences in OS and PFS between the two groups were statistically significant (both P < 0.05). There were 38 patients with complete dynamic dNLR data, including 9 cases of low-risk, 19 cases of medium-risk and 10 cases of high-risk, and the 1-year OS rates of the three groups were 90.0%, 67.5% and 33.3%, the difference in OS between the three groups was statistically significant ( P = 0.011). Univariate Cox regression analysis showed that baseline dNLR (low dNLR vs. high dNLR) was the influencing factor for OS of patients ( HR = 0.163, 95% CI 0.057-0.469, P = 0.001) and PFS ( HR = 0.505, 95% CI 0.268-0.952, P = 0.035). Time-dependent ROC curve analysis showed that the area under the curve (AUC) of baseline dNLR grouping and dynamic dNLR grouping for predicting 1-year OS rate of ES-SCLC patients receiving the first-line atezolizumab combined with chemotherapy was 0.674 (95% CI 0.575-0.887) and 0.731 (95% CI 0.529-0.765). Conclusions:Baseline and dynamic dNLR grouping may be effective markers for predicting the prognosis of ES-SCLC patients receiving the first-line atezolizumab immunotherapy and chemotherapy.