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1.
Cir Cir ; 92(3): 347-353, 2024.
Article in English | MEDLINE | ID: mdl-38862101

ABSTRACT

OBJECTIVE: The study aimed to assess the predictive significance of inflammatory parameters as potential markers for malignancy in individuals with thyroid nodules. METHOD: Nine hundred and ninety-one patients with thyroid nodules who had undergone thyroid fine-needle aspiration biopsy were included and classified according to the Bethesda system. Neutrophil lymphocyte ratio (NLR) and systemic immune-inflammation index (SII) values obtained from hemogram parameters were determined for each patient. The study examined the correlation between the Bethesda classification and NLR/SII levels. In addition, a comparison was made between the inflammatory parameters of the benign and malignant Bethesda groups. RESULTS: Five hundred and seventy-three patients were classified as Bethesda 2 (benign), 34 as Bethesda 6 (malignant). A correlation was observed between the Bethesda classification and NLR and SII levels (r: 0.230, p < 0.001; r: 0.207 p < 0.001, respectively). NLR and SII values were significantly higher in the malignant group (p < 0.001). The cutoff value for SII in predicting benign and malignant thyroid nodules was 489.86 × 103/mm3 with a sensitivity of 88.2% and a specificity of 63.7%. The cutoff value for NLR for the same prediction was 2.06 with a sensitivity of 82.4% and a specificity of 83.4%. CONCLUSIONS: The findings of this study indicate that SII and NLR may be valuable prognostic markers for predicting the malignancy of thyroid nodules.


OBJETIVO: Evaluar parámetros inflamatorios como posibles marcadores de malignidad en individuos con nódulos tiroideos. MÉTODO: Se incluyeron 991 pacientes con nódulos tiroideos que se sometieron a biopsia por aspiración con aguja fina y se clasificaron según el sistema de Bethesda. Se determinaron los valores de la relación neutrófilo-linfocito (NLR) y el índice de inflamación inmunitaria sistémica (SII). El estudio exploró la correlación entre la clasificación de Bethesda y los valores de NLR/SII, y comparó los parámetros inflamatorios de los grupos benignos y malignos de Bethesda. RESULTADOS: Se clasificaron 573 pacientes como Bethesda 2 (benigno) y 34 como Bethesda 6 (maligno). Se observó una correlación entre la clasificación de Bethesda y los valores de NLR y SII (r: 0.230; r: 0.207). Los valores de NLR y SII fueron mayores en el grupo maligno (p < 0.001). El valor de corte para SII en la predicción de nódulos tiroideos benignos y malignos fue de 489.86 × 103/mm3, con una sensibilidad del 88.2% y una especificidad del 63.7%; para NLR fue de 2.06, con una sensibilidad del 82.4% y una especificidad del 83.4%. CONCLUSIONES: El SII y el NLR pueden ser valiosos marcadores pronósticos para predecir la malignidad de los nódulos tiroideos.


Subject(s)
Inflammation , Neutrophils , Thyroid Neoplasms , Thyroid Nodule , Humans , Thyroid Nodule/pathology , Thyroid Nodule/blood , Thyroid Nodule/classification , Female , Male , Middle Aged , Adult , Biopsy, Fine-Needle , Thyroid Neoplasms/pathology , Thyroid Neoplasms/blood , Thyroid Neoplasms/classification , Thyroid Neoplasms/diagnosis , Inflammation/blood , Lymphocytes/pathology , Aged , Sensitivity and Specificity , Biomarkers, Tumor/blood , Lymphocyte Count , Young Adult , Predictive Value of Tests
2.
Euroasian J Hepatogastroenterol ; 10(2): 85-91, 2020.
Article in English | MEDLINE | ID: mdl-33511070

ABSTRACT

BACKGROUND AND AIMS: Chronic hepatitis B (CHB) infection is an important cause of morbidity and mortality worldwide with an increased risk of liver failure, cirrhosis, and hepatocellular carcinoma. Hepatitis B virus (HBV) DNA level, the marker of viral load in the host, is a parameter affected by host factors. In this study, we investigated the relationship between HBV DNA level and insulin resistance as a host factor. METHODS: In this study, 146 patients diagnosed with "HBeAg-negative chronic HBV infection" (natural course phase 3, inactive carrier) according to the European Association for the Study of the Liver (EASL) 2017 guidelines were retrospectively analyzed and demographic, anthropometric, histopathological, radiological and laboratory data of the patients were recorded. Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) levels of the patients were calculated, and according to the value, the patients were divided into two groups as insulin resistant and non-insulin resistant. All parameters, including HBV DNA, were evaluated and compared between the two groups. RESULTS: 77 patients (52.7%) were insulin resistant with a HOMA-IR value of 2.5 or more. The remaining 69 patients (47.3%) whose HOMA-IR value less than 2.5 were non-insulin resistant. The median HBV DNA was 410 IU in the insulin-resistant group and 350 IU in the other group, and there was no statistical significance between the two groups (p: 0.537). HBV DNA level was only positive correlated with HBsAg level and negatively correlated with anti-Hbs level and age (p < 0.005). Compared to the non-insulin resistant group, body mass index (BMI), presence of hepatosteatosis on ultrasonography (USG), fasting blood sugar, fasting insulin, total protein, gamma glutamyl transferase (GGT), triglyceride (TG), very-low-density lipoprotein (VLDL), uric acid level, triglyceride/high-density lipoprotein (HDL) ratio were significantly higher and HDL levels were significantly lower in the insulin-resistant group (p < 0.005). GGT levels and TG/HDL ratio were found to be higher in patients with hepatosteatosis on ultrasonography than in patients without hepatosteatosis (p < 0.005). TG/HDL ratio was found to be an independent factor in predicting insulin resistance and every 1 unit increase of this ratio increases the risk of developing insulin resistance 2.1 times. CONCLUSION: In this study, no significant relationship was found between insulin resistance and HBV DNA levels in chronic inactive HBV carriers. In addition, insulin resistance was observed more frequently in these patients compared to the general population, and insulin resistance was found to be associated with high BMI, hepatosteatosis rate, VLDL, TG, GGT, total protein, uric acid, TG/HDL ratio, and low HDL. TG/HDL ratio was found to be successful in predicting insulin resistance. HOW TO CITE THIS ARTICLE: Senoymak MC, Ozkan H. Evaluation of the Relationship between Insulin Resistance and HBV DNA Level in Patients with HBeAg-negative Chronic HBV Infection (Natural Course Phase 3). Euroasian J Hepatogastroenterol 2020;10(2):85-91.

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