Preoperative predictive factors affecting sentinel lymph node positivity in breast cancer and comparison of their effectiveness with existing nomograms.

This study aimed to establish a strong regression model by revealing the preoperative predictive factors for sentinel lymph node (SLN) positivity in patients with early stage breast cancer (ESBC). In total, 445 patients who underwent SLN dissection for ESBC were included. All data that may be potential predictors of SLN positivity were retrospectively analyzed. Tumor size >2 cm, human epidermal growth factor receptor 2 (HER2) + status, lymphovascular invasion (LVI), palpable tumor, microcalcifications, multifocality or multicentricity, and axillary ultrasonographic findings were defined as independent predictors of SLN involvement. The area under the receiver operating characteristic (ROC) curve (AUC) values were 0.797, 0.808, and 0.870 for the Memorial Sloan-Kettering Cancer Center (MSKCC) nomogram, MD Anderson Cancer Center (MDACC) nomogram, and our regression model, respectively (P < .001). The recent model for predicting SLN status in ESBC was found to be stronger than existing nomograms. Parameters not included in current nomograms, such as palpable tumors, microcalcifications, and axillary ultrasonographic findings, are likely to make this model more meaningful.

Seasonal effects on the mechanisms of burn injuries.

Objectives: This study aimed to evaluate seasonal effects on the mechanisms of burn injuries in patients requiring hospitalization. Material and Methods: A retrospective evaluation was made using the information of 419 hospitalized burns patients, including demographic data, degree and percentage of burn injury, cause and mechanism of burn injury, morbidity and mortality. Burn mechanisms were grouped as thermal burns (flame, boiling liquid, contact), chemical burns and electrical burns. When calculating the percentage of body surface area burned, the rule of nines was applied. Seasonal classification was made appropriate to the northern hemisphere. Results: According to the seasons, the most burns were seen in spring months (n= 130, 31.0%). In the examination of the mechanism of burn injury, the most common type of injury was boiling liquid in 159 patients followed by flame injury in 146 patients. There was an increase in electrical and chemical burns in spring and summer. A statistically significant difference was determined between the types of burns according to the seasons (p= 0.024). The burn injury occurred as a result of a workplace accident in 82 cases, the majority of which were in autumn, and summer, and the difference in the seasons was determined to be statistically significant (p= 0.045). There was a statistically significant increase in the exposure of individuals aged >65 years to boiling liquid burns in winter and summer months (p= 0.014). Conclusion: The results of this study showed a seasonal effect on the types of burn injuries. A higher rate of thermal burns was expected to be found in winter, but this was not the case in patients with indications for hospitalization, as chemical and electrical burns in workplace accidents were seen more frequently in warmer seasons of spring and summer. In this context, burns units should be prepared for patient profiles to vary according to the season.

Comparison of the newly developed Fournier's gangrene mortality prediction model with existing models.

BACKGROUND: Many predictive factors and scoring systems associated with Fournier's gangrene have been proposed, including comorbidities, vital signs, biochemical and hematological parameters, and demographic characteristics of the patient. The aim of this study was to determine the strengths of the scoring systems that have been formed by revealing these factors from a wider perspective and in a larger patient population. METHODS: The patient population included 144 patients, 21 of whom died. Age, biochemical and hematological parameters, Uludag Fournier's Gangrene Severity Index (UFGSI), Fournier's Gangrene Severity Index (FGSI), and Age-Adjusted Charlson Comorbidity Index (ACCI) scores were analyzed using the Mann Whitney U-test due to their non-parametric distribution. Categorical data such as comorbidities, gender, need for positive inotropes, diversion ostomy status, and UFGSI grading status was analyzed with the Chi-square test, and independent risk factors were determined from the significant data emerging from univariate and multivariate logistic regression analysis. Their strengths were compared using the logistic regression model (Fournier's Gangrene Mortality Prediction Model: FGMPM) created through ROC analysis of the FGSI, UFGSI, and ACCI scores. RESULTS: The results of the statistical analyses showed that albumin (p<0.001) and need for positive inotropic support (p<0.001) were independent risk factors for mortality and ROC analysis revealed that the created FGMPM regression model (AUC: 0.995) was a stronger model than the FGSI (AUC: 0.874), UFGSI (0.893), and ACCI (0.788) scoring systems. CONCLUSION: The results of this study revealed that albumin and the need for positive inotropic support are independent risk factors for mortality. It is thought that the determination of these two parameters can be used to predict mortality more practically than the parameters used in the UFGSI and FGSI.

What is the effectiveness of the Tzanakis scoring system modified by the Delta Neutrophil Index in the diagnosis of acute appendicitis in pregnant women?

INTRODUCTION: Acute appendicitis is the most common cause of abdominal pain that is unrelated to pregnancy in pregnant women. The aim of this study was to evaluate the performance of the Alvarado, Ohmann, and Tzanakis scores in the prediction of acute appendicitis in pregnant women and compare the hematological parameters. PATIENTS AND METHODS: Herein, 1542 patients, aged 18-49 years, who were admitted to the emergency department with abdominal pain and underwent appendectomy were evaluated retrospectively. Of these, 140 female patients, including 35 who were pregnant and had been diagnosed with acute appendicitis, were included in the study. The obtained data were used to calculate the Alvarado, Tzanakis, and Ohmann scores. Histopathological evaluation reports were examined, and the diagnosis of acute appendicitis was confirmed. Those with different histopathological diagnoses were recorded as negative appendectomy. RESULTS: In the pregnant and non-pregnant women, the Tzanakis scoring system showed the best predictive performance in terms of the sensitivity and accuracy percentage from the Alvarado and Ohmann scoring systems (84.85%, 85.71% vs. 92.93%, and 92.38%, respectively). When the parameters showing infection were compared, the Delta Neutrophil Index (DNI) was significantly higher in the pregnant appendicitis patients (P = 0.012). When the Tzanakis scoring system was modified with the DNI, the sensitivity, accuracy, and negative predictive values were significantly increased (93.94%, 94.29%, 50% vs. 94.95%, 94.29%, and 50%, respectively). CONCLUSION: The Tzanakis scoring system appeared to be more effective than the other scoring systems in the diagnosis of acute appendicitis. Modification of the Tzanakis scoring system with the DNI was more successful in predicting appendicitis in pregnant women.

Associated Features with Non-Sentinel Lymph Node Involvement in Early Stage Breast Cancer Patients who Have Positive Macrometastatic Sentinel Lymph Node.

OBJECTIVE: The main goal of this study is to determine the clinico-pathological factors that correlate non-sentinel lymph nodes (LNs) involvement in clinically node negative breast cancer (BC) patients with positive macrometastatic sentinel lymph node (SLN) in order to derive future evidence to define a subgroup where completion axillary lymph node dissection (cALND) might not be recommended. MATERIALS AND METHODS: Total 289 SLN biopsies were performed in clinically node negative BC patients between March 2014 and April 2017. Seventy patients who performed cALND due to positive macrometastatic SLN were retrospectively selected and classified into two groups, according to non-SLN involvement (NSLNI). Clinico-pathological features of patients were examined computerized and documentary archives. RESULTS: Extracapsular extension (ECE) of SLN, number of harvested SLNs, metastatic rate of SLNs, absence of ductal carcinoma in situ (DCIS) and presence of multilocalization were significantly associated with the likelihood of non-SLN involvement after univariate analysis (p<0,05). Absence of DCIS and presence of multilocalization were found to be significant after multivariate analysis. CONCLUSION: Careful examination of clinico-pathological features can help to decide avoiding cALND if enough LNs are removed and the rate of SLN metastases is low, particularly in case DCIS accompanying invasive cancer in patients without multi localized tumour.