Browsing by Author "Sasmaz, MI"

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    The relationship between the severity of pain and stone size, hydronephrosis and laboratory parameters in renal colic attack
    Sasmaz, MI; Kirpat, V
    Objective: In this study, we investigated the relationship between the severity of pain level and hydronephrosis, hematuria and pyuria presence in the acute renal colic attack and whether there was a correlation between the stone size and inflammatory markers. Methods: The patients' pain scores determined by Visual Analog Scale (VAS), CRP, WBC and NLR levels from the laboratory results, hematuria and pyuria presence in the urine analysis and hydronephrosis presence in the imaging methods were recorded. Moreover, stone size was measured for the patients for whom computed tomography (CT) method was applied. Results: Mean age of the 275 patients was 41.0 +/- 14.9 and 61.1% of them were male. The patients' mean VAS score was 73.3 +/- 16.5. The mean VAS score of the groups of which hematuria and pyuria were positive and which have hydronephrosis finding was statistically higher than those whose were negative. The mean stone size was 5.2 +/- 2.1 mm, and those with signs of hydronephrosis on their CT (n = 66) were 5.4 +/- 2.3 mm, while those with no signs of hydronephrosis (n = 57) were 4.9 +/- 1.7. No statistical difference was found in stone size between patients with hydronephrosis and those without. Not any correlations were determined between the stone size and VAS pain score of the cases. Conclusions: We detected that the pain level was not correlated with the stone size and big stones were not statistically riskier in the hydronephrosis development. However, we think that the risk of complications such as hydronephrosis is higher in the patients whose pain level are higher and the infection may be accompanied by this group. (C) 2019 Elsevier Inc. All rights reserved.
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    Reply to Letter to the Editor: Management of Ventricular Pseudoaneurysms
    Sasmaz, MI; Demir, B; Uçar, M; Avci, A
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    Interpretation of acid-base metabolism on arterial blood gas samples via machine learning algorithms
    Ozdemir, H; Sasmaz, MI; Guven, R; Avci, A
    Background Arterial blood gas evaluation is crucial for critically ill patients, as it provides essential information about acid-base metabolism and respiratory balance, but evaluation can be complex and time-consuming. Artificial intelligence can perform tasks that require human intelligence, and it is revolutionizing healthcare through technological advancements. Aim This study aims to assess arterial blood gas evaluation using artificial intelligence algorithms. Methods The study included 21.541 retrospective arterial blood gas samples, categorized into 15 different classes by experts for evaluating acid-base metabolism status. Six machine learning algorithms were utilized; accuracy, balanced accuracy, sensitivity, specificity, precision, and F1 values of the models were determined; and ROC curves were drawn to assess areas under the curve for each class. Evaluation of which sample was estimated in which class was conducted using the confusion matrices of the models. Results The bagging classifier (BC) model achieved the highest balanced accuracy with 99.24%, whereas the XGBoost model reached the highest accuracy with 99.66%. The BC model shows 100% sensitivity for nine classes and 100% specificity for 10 classes, and the model correctly predicted 6438 of 6463 test samples and achieved an accuracy of 99.61%, with an area under the curve > 0.9 in all classes on a class basis. Conclusion The machine learning models developed exhibited remarkable accuracy, sensitivity, and specificity in predicting the status of acid-base metabolism. However, implementing these models can aid clinicians, freeing up their time for more intricate tasks.
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    Prognostic value of lactate to hematocrit ratio score in patients with severe thoracoabdominal trauma
    Demir, B; Sasmaz, MI; Gurmen, ES; Bilge, A
    BACKGROUND: Significant portion of trauma-related deaths occur in the 1st h; therefore, rapid diagnosis and adequate resuscita-tion in trauma patients are essential preventing mortality. In this study, we aimed to evaluate the role of lactate-to-hematocrite ratio (LHR) score for predicting mortality in patients with severe thoracoabdominal trauma. METHODS: In this retrospective, cross-sectional study, we evaluated patients who applied to the emergency room between January 1, 2016, and December 31, 2019, due to multiple trauma. We measured the blood gas analysis values and LHR score of patients with severe thoracoabdominal trauma included in the study and investigated the effectiveness of the LHR score in predicting mortality. RESULTS: 106 patients with severe thoracoabdominal trauma were included in the study. The 30-day mortality rate of the patients was 42.5% (n=45). Considering the 30-day mortality rates, the initial hematocrit, lactate, base deficit, and LHR score were statistically different between patients who died and survived. When the cutoff value for the LHR score was taken as 0.187 on the ROC curve to distinguish mortality, the sensitivity was found to be 77.8%, specificity to be 90.2%. CONCLUSION: LHR score is an effective parameter with high sensitivity and specificity in predicting mortality in patients with severe thoracoabdominal trauma.
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    Aspartate-aminotransferase to platelet ratio index score for predicting HELLP syndrome
    Sasmaz, MI; Ayvaz, MA; Dülger, AC; Kaykisiz, EKK; Güven, R
    Introduction: HELLP (hemolysis, elevated liver enzyme levels, low platelet counts)-syndrome is a rare but dramatic pregnancy-related illness. The difficult part of this syndrome is the lack of standardised diagnostic criterias and tests to be used to predict it. The aim of this study is determining the role of APRI score in the diagnosis of HELLP syndrome. Material and methods: In this cross sectional, retrospective study, patients with HELLP syndrome as case group and age-matched healthy pregnants at the similar pregnancy trimester as control group were included between January 12,017 and May 31, 2018. Data including sex, age, laboratory values, prognosis were recorded from the computerized system of the hospital. The p-value <0.05 was considered statistically significant. Results: 40 patients with HELLP syndrome and 124 age-matched healthy pregnants included in the study. There was a statistically significant difference between control group and HELLP patients in terms of the mean urinary protein, platelet count, ALT, AST, creatinin, D dimer levels and also the mean APR! score. In the multivariate regression analysis, APRI score was found a better predictor than AST and both were in a good significant in predicting HELLP. On the ROC curve in order to distinguish the patients with HELLP from the control group for AST and APRI score, the sensitivity was found to be 71.7% and 82.6%, specificity to be 91.2% and 87.6% respectively. Maternal mortality rate of HELLP syndrome was 10%. Conclusion: We concluded that the APR1 score was robustly predicted HELLP syndrome than AST alone in this study. Further studies are needed to support our data with prospective, multicentre, larger patient groups. (C) 2019 Elsevier Inc. All rights reserved.
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    Kinesiotaping for isolated rib fractures in emergency department
    Akça, AH; Sasmaz, MI; Kaplan, S
    Introduction: Rib fractures, which are among the most common injuries in blunt thoracic trauma, are usually encountered in Emergency Departments. Kinesiotape (KT) is a drug-free elastic therapeutic tape used for treating various musculoskeletal problems such as injury, dysfunction and pain. We aimed to investigate whether kinesotaping should be used safely and effectively in rib fractures in emergency setting. Materials and methods: This was a prospective, randomized controlled study conducted in an Emergency Department of a University Hospital. Patients diagnosed with isolated rib fractures were included in the study. Pain severity of patients assessed with 0-10 cm visual analog scale (VAS), then patients assigned into 2 treatment groups. One of them received treatment with flurbiprofen 200 mg/day and the other group received kinesiotaping in addition to the same oral therapy. On the 4th day of the procedure, both groups were assessed with VAS in the followup visit. Results: Total of 82 patients presented with rib fractures, 52 of them were excluded. Remaining 30 constituted the study group and randomly allocated to kinesiotaping (n = 16) or control group (n = 14). In both groups, pain intensity on the 4th day was significantly reduced when compared with baseline (p for both<0.01). Additionally, considering the reducing the pain intensity on 4th day, kinesiotaping was significantly superior than the control group (p < 0.01). Conclusion: This study investigated the use of kinesiotaping in emergency departments. When compared to NSAID therapy alone, combined kinesiotaping and NSAID therapy appears to be more effective in terms of pain reduction in rib fractures. (C) 2019 Elsevier Inc. All rights reserved.
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