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Objectives This study aims to investigate the negative prognostic indicators of pediatric and adult trigger finger surgery patients concerning complications, recurrence, and satisfaction. Methods A retrospective study was conducted on 61 patients with a total of 91 trigger fingers, including 31 in children and 30 in adult patients, all of whom were treated using a standardized surgical technique. The study considered several demographic and clinical factors, including age, gender, dominant hand, body mass index, occupation, history of trauma, single or multiple finger involvement, staging according to Green classification, diabetes mellitus, comorbidities, recurrence, revision surgery, utilization of non-surgical treatment methods, need for rehabilitation after surgery, time to return to work, the time interval from clinic initiation to the surgery, satisfaction and the duration of the follow-up period. In addition, the quick version of the disabilities of the arm, shoulder, and hand (QDASH); and the visual analog scale (VAS) were used to assess patients' data. Results In adult patients, a statistically significant relationship was observed between the increasing grade of the Green stage and complication rate (p<0.001), recurrence (p<0.001), and lower satisfaction (p<0.001). No statistically significant relationship was identified between Green's classification and complications (p=0.129), recurrence (p=0.854), or satisfaction (p=0.143) in pediatric patients. While a statistically significant relationship existed between the time interval from clinic initiation to surgery and complications (p=0.033) in adult patients, no significant relationships were observed for recurrence or satisfaction. Conversely, there was no statistically significant relationship between the time interval from clinic initiation to surgery and complications, recurrence, or satisfaction in pediatric patients. Conclusion This study demonstrates that increasing the grade of the Green stage and duration of symptoms before surgery were the substantial factors contributing to prognosis in adult patients but not in pediatric patients. These findings can assist physicians during patients' treatment management. We suggest that physicians consider these factors for patients' satisfaction.
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BACKGROUND: The first aim of this study is to perform bioinformatic analysis of lncRNAs obtained from liver tissue samples from rats treated with cisplatin hepatotoxicity and without pathology. Another aim is to identify possible biomarkers for the diagnosis/early diagnosis of hepatotoxicity by modeling the data obtained from bioinformatics analysis with ensemble learning methods. METHODS: In the study, 20 female Sprague-Dawley rats were divided into a control group and a hepatotoxicity group. Liver samples were taken from rats, and transcriptomic and histopathological analyses were performed. The dataset achieved from the transcriptomic analysis was modeled with ensemble learning methods (stacking, bagging, and boosting). Modeling results were evaluated with accuracy (Acc), balanced accuracy (B-Acc), sensitivity (Se), specificity (Sp), positive predictive value (Ppv), negative predictive value (Npv), and F1 score performance metrics. As a result of the modeling, lncRNAs that could be biomarkers were evaluated with variable importance values. RESULTS: According to histopathological and immunohistochemical analyses, a significant increase was observed in the sinusoidal dilatation and Hsp60 immunoreactivity values in the hepatotoxicity group compared to the control group (p < 0.0001). According to the results of the bioinformatics analysis, 589 lncRNAs showed different expressions in the groups. The stacking model had the best classification performance among the applied ensemble learning models. The Acc, B-Acc, Se, Sp, Ppv, Npv, and F1-score values obtained from this model were 90%, 90%, 80%, 100%, 100%, 83.3%, and 88.9%, respectively. lncRNAs with id rna-XR_005492522.1, rna-XR_005492536.1, and rna-XR_005505831.1 with the highest three values according to the variable importance obtained as a result of stacking modeling can be used as predictive biomarker candidates for hepatotoxicity. CONCLUSIONS: Among the ensemble algorithms, the stacking technique yielded higher performance results as compared to the bagging and boosting methods on the transcriptomic data. More comprehensive studies can support the possible biomarkers determined due to the research and the decisive results for the diagnosis of drug-induced hepatotoxicity.
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BACKGROUND: Normal physiologic changes during pregnancy result in similar laboratory and symptomatology changes as those during acute appendicitis (AA), making the diagnosis extremely difficult. The aim of the present study was to analyze the efficacy of conventional laboratory and radiologic tests in the diagnosis of AA according to different stages of pregnancy. METHODS: Twenty-five pregnant patients with pathologically confirmed AA operated at our department between 2012 and 2017 were retrospectively analyzed in terms of changes in conventional laboratory parameters as well as neutrophil-to lymphocyte (NLR) and platelet-to-lymphocyte (PLR) ratios to aid the diagnosis of AA according to different stages of pregnancy. RESULTS: There were no significant changes in C-reactive protein levels, leukocyte and neutrophil counts, and accuracy of ultrasonography between patients in the first (group 1) and second + third trimesters (group 2) (p>0.05). Lymphocyte count was significantly lower (p>0.05), whereas NLR and PLR were significantly higher in group 2 (p<0.05). CONCLUSION: Laboratory values change significantly during pregnancy, and NLR and PLR seems to be valuable tools for evaluating AA in a stage-specific manner in pregnant patients.
