Predictors of response to omalizumab in chronic spontaneous urticaria: a retrospective cohort study.

We aimed to investigate the utility of preoperative neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and lymphocyte count as biomarkers to distinguish malignant from benign ovarian masses. We retrospectively reviewed the histopathological results of 185 benign and 33 malignant cases following surgery for an initial diagnosis of adnexal mass and confirmed ovarian masses. Age, cancer antigen 125 (CA-125), white blood cell (WBC) count, hemoglobin (Hb), hematocrit (Hct), mean platelet volume (MPV), platelet distribution width (PDW), NLR, PLR, and lymphocyte counts were compared between groups. The significant diagnostic factors to distinguish malignant from benign disease were age (35.5±22 vs. 62±13 years; p<0.001) and CA-125 levels (16.6±21 vs. 98±366 U/mL; p<0.001). No significant difference was observed in WBC count, Hct, Hb, platelet count, PDW, and MPV between groups. To distinguish malignant from benign masses, lymphocyte count (1.29±0.91 vs. 1.80±0.67×10(3) cells/μL, p<0.001), NLR (4.95±5.36 vs. 3.32±2.72, p=0.024), and PLR (203.41±107.84 vs. 160.75±70.84, p<0.001) were identified as markers. The cutoff values were lymphocyte count of >1500 cells/μL (p<0.001), NLR of 3.4732 (p=0.033), PLR of 161.13 (p<0.001), CA-125 of >40 U/mL (p<0.001), and age of >53 years (p<0.001); their respective sensitivity and specificity were 66.7% and 77.8% [area under the curve (AUC), 0.723±0.055], 68.8% and 54.1% (AUC, 0.624±0.058), 81.8% and 50.8% (AUC, 0.683±0.052), 78.8% and 77.8% (AUC, 0.797±0.057), and 81.8% and 82.2% (AUC, 0.888±0.025). Multiple logistic regression analysis revealed cutoff explanatory and accuracy values of 68.2% and 94.9%, respectively, for lymphocyte count, NLR, PLR, CA-125, and age as independent parameters to distinguish malignant from benign ovarian masses. In combination with age and CA-125 levels, NLR, PLR, and lymphocyte count may be helpful to preoperatively distinguish malignant from benign ovarian masses.

Evaluation of systemic immune-inflammation index in acute deep vein thrombosis: A propensity-matched

Patients with gastric cancer (GC) have a poor prognosis, which is mainly due to the low rate of early diagnosis. The present study aimed to evaluate whether circulating microRNA-130b (miR-130b) and blood routine parameters [neutrophil count (N#), lymphocyte count (L#), monocyte count (M#), neutrophil percentage (N%), lymphocyte percentage (L%), monocyte percentage (M%), hemoglobin (Hb) level, hematocrit (Hct), red blood cell distribution width (RDW), platelet count, platelet distribution width (PDW), mean platelet volume (MPV), MPV to platelet count ratio (MPV/PC), monocyte to lymphocyte ratio (MLR), neutrophil to lymphocyte ratio (NLR) and platelet to lymphocyte ratio (PLR)] are useful biomarkers for GC, early stage GC (EGC) and precancerous lesion (Pre) detection, and to identify more effective diagnostic models by combining circulating blood markers. Circulating levels of M#, M%, RDW-coefficient of variation (RDW-CV), MPV, PDW, MLR and NLR were significantly higher, and the levels of Hb and L% were significantly lower in patients with GC and Pre compared with those in healthy controls (NCs) (all P<0.05). The N#, N% and PLR in patients with GC were significantly higher and the Hct was significantly lower than those in the NCs (all P<0.05). The values of MPV/PC were significantly higher in the Pre cohort compared with those in the NCs. The area under the curve (AUC) of the receiver operating characteristic curve of potential biomarkers for GC was 0.634–0.887 individually, and this increased to 0.978 in the combination model of miR-130b-PDW-MLR-Hb. Additionally, the values for RDW-CV, PLR, NLR, N# and N% were positively correlated with cancer stage, while the values for MPV, L#, L%, Hb and Hct were negatively correlated with cancer stage. Furthermore, the circulating levels of miRNA-130b, and the values for NLR, RDW-CV, PDW, M%, red blood cell count, Hct, Hb and MLR differed between the EGC and NC groups. The AUC values of these biomarkers were 0.6491–0.911 individually in the diagnosis of EGC, and these increased to 0.960 in combination. In addition, the AUC values for miR-130b, RDW-CV, MPV/PC ratio, MLR, NLR, PDW, L%, M%, M# and Hb in the diagnosis of Pre were 0.638–0.811 individually. The dual-model of miR-130b-PDW manifested the largest AUC of 0.896 in the diagnosis of Pre, and the sensitivity and accuracy were increased when miR-130b and PDW were combined. All these results suggested that circulating miR-130b and blood routine parameters might be potential biomarkers, and combinations of measurements of these biomarkers may improve the GC, EGC and Pre diagnostic accuracy.

Objective: Inadequate control of glycemia in diabetic patients is the primary cause of both micro- and macrovascular complications. Several components of complete blood count were investigated and have found to be higher in diabetic patients. We aimed to evaluate white blood cell (WBC), neutrophil, lymphocyte and platelet counts and, red cell distribution width (RDW), mean platelet volume (MPV) and platelet distribution width (PDW) in type 2 diabetes mellitus (T2DM) patients with inappropriorate glycemic management (HbAlc &amp;gt;7%) despite using insulin therapy.Methods: 135 type 2 diabetic patients with inappropriorate blood glucose management (HbAlc value &amp;gt;7 %) despite using insulin therapy for at least 3-month period (only insulin or insulin plus oral hypoglycemic agents) and 121 healthy subjects were included in the study. Demographic, anthropometric and laboratory data were recorded.Results: WBC, neutrophil, lymphocyte and monocyte counts were higher in DM group (p&amp;lt;0.0001). WBC counts were positively correlated with diastolic blood pressure (DBP), body mass index (BMI), waist circumference (WC) and high-sensitive C- reactive protein (hsCRP), fasting plasma glucose (FPG), post-prandial glucose (PPG), HbA1c and triglyceride levels (p&amp;lt;0.05). Neutrophil counts were positively correlated with hsCRP, FPG, HbA1c, BMI, PPG, LDL-Cholesterol (LDL-C) and microalbumin levels (p&amp;lt;0.05). Lymphocyte counts were positively correlated with systolic blood pressure (SBP), DBP, BMI, WC and FPG, HbA1c, LDL-C and triglyceride levels (p&amp;lt;0.05). WBC, neutrophil and lymphocyte counts were negatively correlated with HDL-Cholesterol (HDL-C) levels (p&amp;lt;0.05). PDW was higher in DM group (16.65±0.59 to 16.51±0.51, p:0.043). PDW was positively correlated with age, DBP, FPG, PPG, HbA1c, LDL-C and triglyceride levels (p&amp;lt;0.05). Monocyte to HDL-C ratio was higher in DM group (13.50 ± 5.34 to 10.54 ± 4.29, p&amp;lt;0.0001).Conclusions: In this study white blood cell, neutrophil and lymphocyte counts and PDW were higher in type 2 diabetic patients with inappropriorate glycemic management despite insulin therapy and they were correlated wıth cardio-metabolic risk factors. Leukocyte subtypes and PDW may be used as a marker for cardiovascular diseases in these patients.

Usefulness of Combined White Blood Cell Count and Plasma Glucose for Predicting In-Hospital Outcomes After Acute Myocardial Infarction

The objectives of the study were to determine differences in the parameters of red blood cells (RBC), white blood cells (WBC), and platelets at low altitude (LA) and at high altitude (HA) and with the gestation being advanced, and to determine correlations between parameters of RBC and platelets. We also studied the association of RBC and platelets with markers of iron status. In addition, markers of iron status and inflammation were measured and compared at each trimester of gestation in pregnant women at LA and HA. A cross-sectional comparative study was conducted at Lima (150 m above sea level) and Cusco at 3400 m above sea level from May to December 2019. Hematological parameters in pregnant women (233 at LA and 211 at HA) were analyzed using an automated hematology analyzer. Serum ferritin levels, soluble transferrin receptor (sTfR), hepcidin, erythropoietin, testosterone, estradiol, and interleukin-6 (IL6) levels were measured by ELISA. One-way ANOVA supplemented with post hoc test, chi-square test, and Pearson correlation test statistical analyses were performed. p < 0.05 was considered significant. Pregnant woman at HA compared to LA had significantly lower WBC (p < 0.01), associated with higher parameters of the RBC, except for the mean corpuscular volume (MCV) that was no different (p > 0.05). Platelets and mean platelet volume (MPV) were higher (p < 0.01), and platelet distribution width (PDW) was lower at HA than at LA (p < 0.01). A higher value of serum ferritin (p < 0.01), testosterone (p < 0.05), and hepcidin (p < 0.01) was observed at HA, while the concentration of sTfR was lower at HA than at LA (p < 0.01). At LA, neutrophils increased in the third trimester (p < 0.05). RBC parameters decreased with the progress of the gestation, except RDW-CV, which increased. The platelet count decreased and the MPV and PDW were significantly higher in the third trimester. Serum ferritin, hepcidin, and serum testosterone decreased, while sTfR and serum estradiol increased during gestation. At HA, the WBC and red blood cell distribution width- coefficient of variation (RDW-CV), PCT, and serum IL-6 did not change with gestational trimesters. RBC, hemoglobin (Hb), hematocrit (Hct), mean corpuscular hemoglobin concentration (MCHC), and platelet count were lower as gestation advanced. MCV, MPV, and PDW increased in the third trimester. Serum ferritin, testosterone, and hepcidin were lower in the third trimester. Serum estradiol, erythropoietin, and sTfR increased as gestation progressed. Direct or inverse correlations were observed between RBC and platelet parameters and LA and HA. A better number of significant correlations were observed at HA. Hb, Hct, and RDW-CV showed a significant correlation with serum ferritin at LA and HA. Of these parameters, RDW-CV and PDW showed an inversely significant association with ferritin (p < 0.05). In conclusion, a different pattern was observed in hematological markers as well as in iron status markers between pregnant women at LA and HA. In pregnant women a significant correlation between several RBC parameters with platelet marker parameters was also observed. Data suggest that pregnant women at HA have adequate iron status during pregnancy as reflected by higher serum ferritin levels, lower sTfR levels, and higher hepcidin values than pregnant women at LA.

Background: During viral outbreaks, pregnancy poses an increased risk of infection for women. Methods: In a prospective study, all patients admitted for delivery at term to Elena Doamna Obstetrics and Gynecology University Hospital in Iasi, Romania, between 1 April 2020 and 31 December 2020 were included. There were 457 patients, divided into two groups: group 1, SARS-CoV-2-positive patients (n = 46) and group 2, SARS-CoV-2-negative patients (n = 411). Among other tests, complete blood count was determined upon admittance, and the following values were studied: white blood cell count, lymphocytes, neutrophils, red blood cell count, hemoglobin, mean corpuscular hemoglobin concentration, mean corpuscular hemoglobin, mean corpuscular volume, red blood cell distribution width, hematocrit, platelet count, mean platelet volume, platelet distribution width, plateletcrit, and platelet large cell ratio. Results: in pregnant SARS-CoV-2-infected patients at term, there was a significant decrease in white blood cell, neutrophil, and lymphocyte count, and an increase in mean corpuscular hemoglobin concentration, compared to healthy pregnant women at term, although all still within normal limits. None of the other components of the complete blood count or fetal outcomes studied was significantly influenced by SARS-CoV-2 infection in pregnant patients at term.

Objective: In this study, we aimed to examine the complete blood count parameters and blood-based systemic inflammatory markers in children with generalized anxiety disorder (GAD). Method: Retrospectively, complete blood count of 48 GAD diagnosed children and adolescents and age-gender matched 46 healthy controls were compared in terms of hemoglobin (Hb), erythrocyte distribution width (RDW), platelet count (PLT), mean platelet volume (MPV), platelet distribution width (PDW), plateletcrit (PCT), white blood cell count (WBC), neutrophil, lymphocyte and monocyte counts and neutrophil to lymphocyte ratio (NLR), monocyte to lymphocyte ratio (MLR), and platelet to lymphocyte ratios (PLR). Chi-square test, independent samples t-test and Mann-Whitney U test were used for statistical evaluation. Results: MPV levels were found to be significantly higher (p=0.020), while PLT and PDW levels were found to be significantly lower (p=0.018 and p=0.011, respectively) in children and adolescents with GAD. There was no statistically significant difference in terms of hemoglobin (Hb), erythrocyte distribution width (RDW), plateletcrit (PCT), white blood cell count (WBC), neutrophil, lymphocyte and monocyte counts and neutrophil to lymphocyte ratio (NLR), monocyte to lymphocyte ratio (MLR), platelet to lymphocyte ratios (PLR) between case and control groups. Conclusion: Platelet parameters that have been postulated to be associated with inflammation, such as MPV and PDW may be related to possible inflammatory background of GAD in children and adolescents and comprehensive prospective studies are required on this subject.An Erratum to this article was published on 17 March 2021. https://dergipark.org.tr/en/pub/ktd/issue/60658/897382

To observe the changes of complete blood count (CBC) parameters during pregnancy and establish appropriate reference intervals for healthy pregnant women. Healthy pregnant women took the blood tests at all trimesters. All blood samples were processed on Sysmex XE-2100. The following CBC parameters were analyzed: red blood cell count (RBC), hemoglobin (Hb), hematocrit (Hct), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC), red blood cell distribution width (RDW), platelet count (PLT), mean platelet volume (MPV), platelet distribution width (PDW), white blood cell count (WBC), and leukocyte differential count. Reference intervals were established using the 2.5th and 97.5th percentile of the distribution. Complete blood count parameters showed dynamic changes during trimesters. RBC, Hb, Hct declined at trimester 1, reaching their lowest point at trimester 2, and began to rise again at trimester 3. WBC, neutrophil count (Neut), monocyte count (MONO), RDW, and PDW went up from trimester 1 to trimester 3. On the contrary, MCHC, lymphocyte count (LYMPH), PLT, and MPV gradually descended during pregnancy. There were statistical significances in all CBC parameters between pregnant women and normal women, regardless of the trimesters (P<.001). The median obtained were (normal vs pregnancy) as follows: RBC 4.50 vs 3.94×1012 /L, Hb 137 vs 120g/L, WBC 5.71 vs 9.06×109 /L, LYMPH% 32.2 vs 18.0, Neut% 58.7 vs 75.0, and PLT 251 vs 202×109 /L. The changes of CBC parameters during pregnancy are described, and reference intervals for Beijing pregnant women are demonstrated in this study.

Background and objectiveThreatened abortion, a common pregnancy complication that often leading to abortion, is hard to predict due to its non-specific symptoms and difficulty in differentiating from other early pregnancy bleeding causes. Current diagnostic methods like serial ultrasounds and clinical monitoring are time-consuming and lack timeliness. To fill the gap in using advanced analytics for early detection and risk stratification, this study develops a machine learning (ML) model based on routine blood data to better predict threatened abortion, providing a reference for early detection and intervention.MethodsIn this study, we collected medical records from January 2022 to March 2024. We analyzed data from 1764 patients with threatened abortion and 1489 healthy controls. Blood test data of all participants were gathered. The Z-score normalization technique was applied to standardize blood routine indicators. This reduced the influence of outliers and noise. During hyperparameter optimization, ‘class_weight="balanced"’ was set to handle sample imbalance. The screening data was partitioned into a training set of 2928 cases (including the validation set) and a test set of 325 cases at an 8:1:1 ratio. Python was used to facilitate data transformation. Eight different ML algorithms—Logistic Regression (LR), Random Forest (RF), Support Vector Machine (SVM), Gradient Boosting (GBM), Extreme Gradient Boosting (XGB), Deep Neural Network (DNN), Decision Tree (DT) and Naive Bayes (NB)—were used to construct a threatened abortion prediction model. The prediction performances of the ML models were evaluated by calculating the area under the curve (AUC) values. We used the SHapley Additive exPlanation (SHAP) method to explain the models.ResultsComparatively, the DNN model showed the highest predictive performance among the eight models, with the highest AUC value of 96.76% and top metrics for accuracy (91.88%), specificity (91.62%), sensitivity (92.11%), and F1 score (92.48%). SHAP analysis identified Red Cell Distribution Width - Standard Deviation (RDW-SD), Platelet Distribution Width (PDW), Mean Platelet Volume (MPV), Red Cell Distribution Width - Coefficient of Variation (RDW-CV), Absolute Basophil Count (BAS#), Platelet Count (PLT), Mean Corpuscular Hemoglobin Concentration (MCHC) and Lymphocyte Percentage (LYM) as the most influential features in predicting threatened abortion, with PDW, RDW-CV, BAS#, PLT, MCHC and LYM positively contributing to the prediction, whereas RDW-SD and MPV had negative contributions.ConclusionsOur research on constructing a prediction model for threatened abortion through routine blood tests has revealed the great potential of ML algorithms in detecting threatened abortion. This algorithm is expected to analyse routine blood data to identify at-risk pregnancies at an early stage, significantly improving the early detection of this common pregnancy complication. It will assist healthcare providers in intervening earlier and reducing the incidence of abortion. However, before the model can be translated into routine clinical applications, more extensive validation studies are still needed.Supplementary InformationThe online version contains supplementary material available at 10.1186/s12884-025-08030-z.

Acute appendicitis (AA) is one of the most common emergency surgery. To evaluate the performance of laboratory parameters used in the diagnosis of AA. There were two groups. In both groups, leukocyte (WBC), neutrophil, lymphocyte count, neutrophil/lymphocyte ratio (NLR), mean platelet volume (MPV), red cell distribution width (RDW), and platelet distribution width (PDW) values were examined in complete blood count (CBC). In addition, serum bilirubin (total bilirubin and direct bilirubin) values were examined. All laboratory parameters studied were compared to evaluate their diagnostic performance. A total of 128 people were in the AA group and 122 people were in the healthy group (control). WBC count, neutrophil count, NLR, total bilirubin, direct bilirubin, and PDW values were significantly higher in the AA group than in the control group (P value <0.05). Lymphocyte counts and MPV values in the AA group were significantly lower than in the control group (P value <0.05). The sensitivity and selectivity of the WBC and neutrophil counts in AA were 95.13%, 89.34%, 94.53%, and 93.44%, respectively. The sensitivity and selectivity of the total bilirubin values were 59.38% and 73.77%, respectively. Area under the ROC curve (AUC) values within 95% confidence interval were over 0.900 for neutrophil count, WBC count, direct bilirubin, NLR, and PDW values. AUC values for total bilirubin, lymphocyte count, RDW, and MPV values were below 0.700. Diagnostic performances of the laboratory parameters were determined as follows: neutrophil count > WBC count > direct bilirubin = NLR = PDW > total bilirubin = lymphocyte count = RDW = MPV.

Research done on 40 patients; 24 males, 20-79 years, and 16 females, 42-67 years; referred to dialysis unit, Baqubah hospital, in November and December, 2021; January and February 2022. Creatinine, Urea and Iron, record high levels. Glucose, calcium, sodium, potassium, and phosphate, were within normal, and low levels of albumin. Means of Total Erythrocyte Counts (TECs), hemoglobin (Hb), Hematocrit% (HCT), and Mean Corpuscular Hemoglobin Concentration (MCHC), showed lowered level. While, Mean Cell Volume (MCV), Mean Corpuscular Hemoglobin (MCH), Mean Red Blood Cell Distribution Width- Standard Deviation (RDW-SD), Mean Red Blood Cell Distribution Width- Coefficient of Variation (RDW-CV), were within normal. Total Leucocyte Counts (TLCs), Neutrophils, Lymphocytes, Eosinophil, Basophils, were within normal, Platelet Counts and related parameter were within normal. Within ranges some values were higher than normal as, potassium, phosphate, (RDW-SD), (RDW-CV), Neutrophils%, Eosinophil%, Lymphocytes, Mean Platelets Volume (MPV). While some other values were lower as sodium, (TRCs), (Hb), (HCT %), (MCV), (MCH), (MCHC), (RDW-SD), (TLCs), Lymphocytes%, platelets, Platelet Distribution Width (PDW), Platelet- Large Cell Ratio (P-LCR). But some values of glucose, and calcium, were high, and some other low. At the same time Monocytes%, Basophils% was within normal range. In conclusion creatinine and urea levels have an important role in diagnosis and follow- up of kidney failure. All patients have high levels of urea, iron and creatinine. But not all have higher level of potassium and glucose. Sodium and albumin, showed decreased level. Blood picture revealed microcytic, hypochromic anemia; as (TECs), (Hb), (HCT %), (MCHC) and (RDW-SD) were of lower values.

To investigate the significance of neutrophil/lymphocyte ratio(NLR) and platelet/lymphocyte ratio(PLR) in patients with multiple myeloma (MM). Eighty patients with multiple myeloma admitted in our hospital from August 2007 to August 2010 were selected. The clinical data of the patients, including hemoglobin (Hb), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC), red blood cell distribution width (RDW), white blood cell(WBC) count, absolute neutrophil count (ANC), platelet count (PC), glomerular filtration rate (GFR), calcium, albumin, β2 microglobulin and so on were collected and analyzed. The optimal threshold of NLR was 2.78 (sensitivity: 83.3%, specificity: 43.1%). The optimal threshold of PLR was 155.58 (sensitivity: 67.7%, specificity: 36.9%). All patients were grouped according to NLR and PLR values, patients with high NLR and PLR had lower albumin levels and higher clinical stages. High NLR patients were mainly men, hemoglobin, GFR values, albumin levels were lower, and the white blood cells count and β2 microglobulin level were higher. High PLR patients showed low albumin level and higher clinical stage. Multivariate analysis showed that β2 microglobulin and NLR were prognostic factors in patients with multiple myeloma (P<0.05). Kaplan-Meier survival analysis showed that the median survival time was 37 months (95% CI: 21.80-52.19) for patients with high NLR and 66 months (95% CI: 53.19-78.80) for patients with low NLR. The median survival time was 45 months (95% CI: 0.00 to 91.18) in patients with high PLR and 62 months (95% CI: 45.67-78.33) in patients with low PLR. High NLR (>2.78) associates with poor prognosis in patients with MM, and it may be considered as an independent prognostic factor for MM patients.

Immuno-hematological abnormalities are common among HIV infected individuals as well as patients with highly active antiretroviral therapy (HAART). However, the immuno-hematological outcome of Dolutegravir based antiretroviral therapy (ART) usage is not well investigated. To assess hematological and immunological parameters among adult HIV patients before and after initiation of Dolutegravir based ART regimen at St. Peter Specialized Hospital, Addis Ababa, Ethiopia. A cross-sectional study was conducted from May to July 2021 at St. Peter Specialized Hospital among adult HIV patients. A total of 422 HIV patients on Dolutegravir based ART (combination of Dolutegravir/lamivudine/tenofovir disoproxil fumarate (DTG/3TC/TDF)) for a minimum of 3 months were selected using convenient sampling methods. Socio-demographic as well as clinical data of the participants was obtained using pre-tested structured questionnaires and a review of medical records. Hematological parameters such as CBC was obtained using Beckman coulter automated hematology analyzer and immunological parameters such as CD4 count were determined using BD FACS presto. Statistical analysis of the data was done using SPSS version 21. Paired t-test was used to compare dependent variables before and after initiation of the new HAART and binary logistic regression was used to determine predictors of immuno-hematological abnormalities. P-value < 0.05 was considered as statistically significant. Of 422 adult HIV patients, about 273(64.7%) were females. The mean age of study participants was 42.2 years (±10.4SD). The mean white blood cell (WBC) count, red blood cell (RBC) count, hemoglobin (Hb), platelet distribution width (PDW), CD4 count, as well as lymphocyte percentage, neutrophil percentage, and platelet counts (PLT) were increased significantly(P<0.05) after 3 months of the Dolutegravir based therapy. While, red cell distribution width (RDW) and mean cell hemoglobin (MCH) were decreased (P<0.05) after the treatment. Other hematological parameters such as mean cell volume (MCV), hematocrit (HCT), mean cell hemoglobin concentration (MCHC), mean platelet volume (MPV) and platelet distribution width (PDW) showed no significant change. On the other hand, the most common hematological abnormalities identified after the new HAART were anemia (12.1%); followed by Leucopenia (11.3%), neutropenia (6%), and thrombocytopenia (4%). Anemia was associated with female sex (AOR = 7.8, 95% CI: 1.9-32.2, P<0.005) and WHO clinical stage III/IV (AOR = 16, 95% CI: 10.63-66.46, P<0.01). There was a significant change in certain immuno-hematological parameters such as WBC count, RBC count, PLT count, Hb, PDW, CD4 count, lymphocyte and neutrophil percentage after initiation of the Dolutegravir based therapy. Anemia was the most common hematological abnormality. Further studies are required to fully comprehend the outcome of the new treatment regimen on immuno-hematological parameters.

Hematologic parameters of systemic inflammation are receiving attention as promising prognostic indicators in cancer patients. Here, we investigated the relation and compared the prognostic values of circulating blood cell-based parameters and tumor 18F-fluoro-2-deoxyglucose (FDG) uptake in patients with stage I nonsmall cell lung cancers (NSCLC).Subjects were 1034 patients with newly diagnosed stage I NSCLC who underwent FDG positron emission tomography/computed tomography (PET/CT) followed by curative resection. Total white blood cell (WBC) count, absolute neutrophil, lymphocyte and platelet counts, neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR) were obtained. Tumor FDG uptake was measured as SUVmax.WBC, neutrophil and lymphocyte counts, and NLR demonstrated weak but significant correlation to tumor SUVmax. Using the upper quartile as cutoff, patients with high tumor SUVmax had significantly higher WBC, neutrophil and lymphocyte counts, and greater NLR. There were 144 recurrences (13.9%) over a median follow-up of 29.5 months. On Cox proportional hazards regression analysis, WBC count, tumor SUVmax, age, gender, smoking, cell type, and tumor stage were significant univariate prognostic factors. On multivariate analysis, high tumor SUVmax (HR = 2.22; 95% CI, 1.52–3.25; P < 0.001), tumor stage 1B (HR = 2.11; 95% CI, 1.47–3.01; P < 0.001), and old age (HR = 1.03; 95% CI, 1.01–1.05; P = 0.002) were significant independent predictors of poor survival. Finally, high tumor SUVmax remained a significant predictor of prognosis in both low and WBC count groups.Circulating blood counts showed significant correlation to tumor FDG uptake in early stage NSCLC. WBC count was a significant univariate variable, but tumor FDG uptake was a superior and independent predictor of outcome. Hence, tumor FDG uptake effectively stratified prognosis in patients with low as well as high WBC count.