Diagnostic models for predicting malignancy in thyroid nodules classified as Bethesda Category III in an endemic region.

BACKGROUND: This study aims to develop a diagnostic model to help physicians determine whether thyroid nodules categorized as atypia of undetermined significance (AUS) in category III of the Bethesda system are benign or malignant preoperatively. To create a diagnostic model for predicting thyroid nodules' benign or malignant with AUS cytology based on clinical, ultrasonographic, and cytopathological findings. METHODS: This is a retrospective cohort study involving patients (>19) at risk of thyroid cancer who had thyroidectomy after an AUS cytology. The dataset consists of 53 variables 204 nodules from 183 patients. Binary logistic regression and factor analysis methods were used to identify risk factors for malignancy. Finally, four prediction models were developed using different approaches, based on clinical, pathological clinical + pathological, and the factors. RESULTS: A total of 88 (48.1%) of 183 patients diagnosed with AUS were benign and 95 (51.9%) the malignant. After determining risk factors, four prediction models were developed based on different approaches to assist physicians in deciding to detect AUS nodules early. It was seen that bilaterality was found to be a risk factor for malignancy in the clinical model (pbilaterality = .03) and it was also seen that the pathological variables pale chromatin and irregular contours in the oncocyte variables were risk factors for malignancy (ppalechromatin = .02, pirregularcontoursintheoncocyte = .04). The best model obtained sensitivity and specificity values are 73% and 87% based on clinical and pathological variables. CONCLUSION: This comprehensive study may provide a more in-depth understanding of AUS and make a notable contribution to healthcare professionals before surgery.

A prospective study for gestational diabetes mellitus: Analysis of risk factors in Turkish women for early prediction.

OBJECTIVE: To define risk factors for the early prediction of gestational diabetes mellitus (GDM) because the risk of pre-eclampsia and preterm birth increases in mothers who are diagnosed with GDM. MATERIALS AND METHODS: A prospective study was designed and the data were collected by physicians prospectively from the patients who came to the clinic between the years 2019 and 2021; informed consent was obtained from the women. The prospective data comprised 489 patient records with 72 variables and the risk factors for early prediction of GDM were determined using logistic regression and random forest (RF), which is an advanced analysis method. RESULTS: The obtained sensitivity and specificity values are 90% and 75% for logistic regression and 71% and 90% for the RF, respectively. CONCLUSION: In this prospective study of GDM in Turkish women; age, body mass index, level of hemoglobin A1c, level of fasting blood sugar, physical activity time in first trimester, gravidity, triglycerides, and high-density lipoprotein cholesterol were confirmed to be risk factors in analysis results.

Can HALP (Hemoglobin, Albumin, Lymphocytes, and Platelets) Score Differentiate Between Malignant and Benign Causes of Acute Mechanic Intestinal Obstruction?

Background: Hematological parameters, including albumin and hemoglobin (Hb) levels and lymphocyte counts, are low-cost tests that can be used to determine inflammation and nutritional status. Recent studies have shown that inflammation plays a very important role in the development of carcinogenesis. Materials and Methods: The authors investigated whether preoperative hemoglobin, albumin, lymphocyte, and platelet (HALP) score can distinguish between benign and malignant causes in patients who are admitted to hospital and operated due to acute mechanical intestinal obstruction (AMIO). The patients were divided into two groups etiologically. Group 1 included the AMIO cases, which developed from benign causes, while Group II contained the AMIO cases, which developed as a result of malignancy. HALP score was calculated based on the latest preoperative Hb, albumin, lymphocyte, and platelet values of patients. Results: HALP variable was an independent prognostic factor (p < 0.001) in determining malignancy (odds ratio = 0.91; 95% confidence interval [CI] = 0.882-0.930). Based on the results, when a cutoff value <23.94 was used for HALP score in receiver operating characteristic analysis, sensitivity for determining the malignancy was 85%, while specificity was 78% (Area under the curve [AUC] ± standard error = 0.86 ± 0.029; 95% CI = 0.80-0.91; p < 0.001). Conclusions: The HALP score could be a useful parameter for the clinician in distinguishing between AMIO due to benign and malignant origins.