The role of neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, and systemic immune inflammation index in predicting the necessity for surgery and therapeutic surgery in patients with anterior abdominal stab wounds.

BACKGROUND: In this diagnostic accuracy study, we examined the effectiveness of neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immune inflammation index (SII) in predicting the need for surgical intervention in patients with anterior abdominal stab wounds (AASW) who exhibit unclear findings on physical examination yet remain hemodynamically stable. METHODS: Over a 7-year period, patients with AASW were retrospectively analyzed. Patients were divided into two groups as surgical (SG) and nonsurgical group (nSG). The SG were also divided into two groups as therapeutic surgery (TS) group and the non-therapeutic surgery (nTS) group. The groups were compared in terms of NLR, PLR values and SII scores. RESULTS: In a retrospective analysis of 199 patients with AASW, NLR, PLR and SII obtained during clinical follow-up of patients with AASW in whom the necessity for immediate surgery was unclear significantly predicted therapeutic surgery (p < 0.001 for all). These parameters did not show a significant difference in predicting the need for surgery at the admission. NLR showed an AUC of 0.971 and performed significantly better than PLR and SII (AUC = 0.874 and 0.902, respectively) in predicting TS. The optimal cut-off value for NLR was 3.33, with a sensitivity of 98.2%, a specificity of 90%, and a negative likelihood ratio of 0.02. Time from admission to surgery was significantly shorter in the TS group (p = 0.001). CONCLUSION: NLR, PLR and SII values may be useful in predicting therapeutic surgery during clinical follow-up in AASW patients with unclear physical examination findings and in whom immediate surgical decisions cannot be made.

The role of a noninvasive index 'Spo2/ Fio2' in predicting mortality among patients with COVID-19 pneumonia.

INTRODUCTION: Noninvasive risk assessment is crucial in patients with COVID-19 in emergency department. Since limited data is known about the role of noninvasive parameters, we aimed to evaluate the role of a noninvasive parameter 'SpO2/FiO2' in independently predicting 30-day mortality in patients with COVID-19 and its prognostic utility in combination with a noninvasive score 'CRB-65'. METHODS: A retrospective study was performed in a tertiary training and research hospital, which included 272 patients with COVID-19 pneumonia diagnosed with polymerase chain reaction in emergency department. Data on characteristics, vital signs, and laboratory parameters were recorded from electronic medical records. The primary outcome of the study was 30-day mortality, and we assessed the discriminative ability of SpO2/FiO2 in predicting mortality in patients with COVID-19 pneumonia and its prognostic utility in combination with conventional pneumonia risk assessment scores. RESULTS: Multivariate analysis revealed that only SpO2/FiO2 level was found to be an independent parameter associated with 30-day mortality (OR:0.98, 95% CI: 0.98-0.99, p = 0.003). PSI and CURB-65 were found to be better scores than CRB-65 in predicting 30-day mortality (AUC: 0.79 vs 0.72, p = 0.04; AUC: 0.76 vs 0.72, p = 0.01 respectively). Both SpO2/FiO2 combined with CRB-65 and SpO2/FiO2 combined with CURB-65 have good discriminative ability and seemed to be more favorable than PSI in predicting 30-days mortality (AUC: 0.83 vs 0.75; AUC: 0.84 vs 0.75), however no significant difference was found (p = 0.21 and p = 0.06, respectively). CONCLUSION: SpO2/FiO2 is a promising index in predicting mortality. Addition of SpO2/FiO2 to CRB-65 improved the role of CRB-65 alone, however it performed similar to PSI. The combined noninvasive model of SpO2/FiO2 and CRB-65 may help physicians quickly stratify COVID-19 patients on admission, which is expected to be particularly important in hospitals still stressed by pandemic volumes.

Early predictors of mortality for moderate to severely ill patients with Covid-19.

BACKGROUND: Determining the factors affecting the mortality and clinical conditions of the patients with Covid-19 are indispensable needs in developing patient treatment algorithms. We aimed to determine the parameters that can predict the mortality of moderate to severely ill patients with laboratory confirmed Covid-19. METHODS: Moderate to severely ill, Covid-19 patients older than 18 years were included. Mild Covid-19 patients and the ones with negative polymerase chain reaction test results were excluded from the study. The primary outcome of the study was 30-day mortality rate and we aimed to determine the factors affecting mortality in moderate to severely ill Covid-19 patients. RESULTS: 168 patient results were analyzed. Median age of the patients was 59.5 (48.3 to 76) and 90 (53.6%) were male. According to multivariate regression analysis results, the presence of any comorbid disease (p = 0.027, HR = 26.11 (95%CI: 1.45 to 471.31)), elevated C-reactive protein levels (CRP) (p < 0.001, HR = 1.24 (95%CI: 1.11 to 1.38)) and presence of dyspnea (p = 0.026, HR = 4.26 ((95%CI: 1.19 to 15.28)) were found to significantly increase the mortality, while high pulse O 2 saturation level (p < 0.001, HR = 0.90 (95%CI: 0.82 to 0.99) was found to decrease. When receiver operating characteristic curve was created for laboratory tests, it was determined that white blood cell counts, neutrophil counts, CRP levels and neutrophil/lymphocyte ratio predicted mortality while Lymphocyte levels did not. CONCLUSION: Dyspnea, the presence of any comorbid disease, elevated CRP levels, and low pulse O 2 saturation levels predict mortality in moderate to severely ill Covid-19 patients.

Development and Validation of the GAASThyriC Model for Predicting Patients with Suboptimal Clinical Response After Laparoscopic Sleeve Gastrectomy and a Practical Calculator: A Retrospective Cohort Study.

BACKGROUND: It might not be possible to achieve the desired outcome in every patient following bariatric surgery, even though every patient is thoroughly examined before surgery. This study aimed to develop a regression model based on parameters that affect weight loss success in patients scheduled for laparoscopic sleeve gastrectomy (LSG) and thus preoperatively predict whether the patients will have an optimal clinical response in terms of weight loss at the end of the first year. MATERIALS AND METHODS: Between January 2018 and August 2022, patients who underwent LSG were analyzed retrospectively. Age, sex, comorbidities, smoking status, alcohol use status, preoperative weight, preoperative body mass index (BMI), preoperative laboratory data, weight, and total weight loss (TWL)% values at the end of the first year were recorded. At the end of the first year following LSG, patients with TWL% above 20% were defined as having an optimal clinical response in terms of weight loss. This study is designed, conducted, and reported regarding the "transparent reporting of a multivariable prediction model for individual prognosis or diagnosis" (TRIPOD) statement. The final model was used to construct an Excel-based calculator. RESULTS: Four hundred thirty-eight patients underwent the sleeve gastrectomy procedure, and 38 of them were excluded from the study because of a lack of 1-year follow-up information, resulting in 400 eligible patients for our study. Age, glucose, thyroid stimulating hormone (TSH), alcohol consumption, systemic immune inflammation index (SII), and tobacco were the independent predictors of optimal clinical response ( P <0.001, P <0.001, P <0.001, P =0.011, P =0.039, P =0.045, respectively). The model was called the GAASThyriC score. When the final model was tested in the validation cohort, the AUC was 0.875 (95% CI, 0.742-0.999), the sensitivity was 83.3% (95% CI, 51.6-97.9), specificity was 86.4% (95% CI, 77.4-92.8), negative likelihood ratio was 0.19 (95% CI, 0.05-0.68), and accuracy was 86% (95% CI, 77.6-92.1) when the cutoff value was set to the optimal threshold (logit = 0.8451). CONCLUSION: The GAASThyriC score can be used as an effective auxiliary tool to predict the patient population with suboptimal clinical response in terms of TWL% at the end of the first year after LSG.

Unraveling the clinical significance and prognostic value of the neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, systemic immune-inflammation index, systemic inflammation response index, and delta neutrophil index: An extensive literature review.

In the field of critical care medicine, substantial research efforts have focused on identifying high-risk patient groups. This research has led to the development of diverse diagnostic tools, ranging from basic biomarkers to complex indexes and predictive algorithms that integrate multiple methods. Given the ever-evolving landscape of medicine, driven by rapid advancements, changing treatment strategies, and emerging diseases, the development and validation of diagnostic tools remains an ongoing and dynamic process. Specific changes in complete blood count components, such as neutrophils, lymphocytes, monocytes, and platelets, are key immune system responses influenced by various factors and crucial in systemic inflammation, injury, and stress. It has been reported that indices such as neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), and delta neutrophil index calculated using various ratios of these elements, are important predictors of various outcomes in conditions where the inflammatory process is at the forefront. In this narrative review, we concluded that NLR, PLR, SII, and SIRI show promise in predicting outcomes for different health conditions related to inflammation. While these tests are accessible, reliable, and cost-effective, their standalone predictive performance for a specific condition is limited.

Factors affecting seizure recurrence in the emergency department.

Background: Information on Emergency Department (ED) follow-up of patients presenting with epileptic seizures is limited. Objectives: It was planned to investigate the factors affecting the recurrence of epileptic seizures in the follow-up of patients presenting to the ED with the complaint of epileptic seizures. Materials and methods: This prospective, observational, single-center study was carried out in an adult population presenting to the ED. The study included patients older than 18 years of age presenting to the ED with the complaint of epileptic seizures. Results: Of the 205 patients included in the study, 68 (33.2%) had seizure recurrence during the 6 h. In the univariable analysis, advanced age, prolonged post-ictal duration, increased seizure duration, generalized tonic clonic seizure, alcohol consumption within past 24 h, hypertension, coronary artery disease, Alzheimer's disease, prior ischemic cerebrovascular disease, low Glascow Coma Scale (GCS), high glucose, high C-Reactive Protein, high phosphorus, low potassium, high blood urea nitrogen, high lactate, increased anion gap, high osmolarity were statistically significant in predicting recurrent seizure recurrence within 6 h. According to the logistic regression, postictal duration, GCS score, and age were independent predictors in our model. The cut-off value of postictal duration in predicting seizure recurrence at the highest sensitivity (66.2%) and specificity (89.8%) was 22.5 min. Conclusion: A prolonged postictal state, low GCS score, advanced age may be an indication of seizure recurrence. Therefore, patients with a long postictal duration, low GCS score, advanced age should be followed up more carefully in terms of recurrent seizures in the ED.

Effect of Histopathological Findings of Gastric Specimens Resected During Laparoscopic Sleeve Gastrectomy on Weight Loss Success: A Retrospective Analysis of 599 Patients.

BACKGROUND: Even though there aren't enough studies on long-term outcomes, laparoscopic sleeve gastrectomy (LSG) is the most common procedure among weight loss surgeries. In this study, we aimed to evaluate the histopathological results of resected stomach specimens of patients who underwent LSG and to analyze the effect of histopathological results on weight loss success. METHODS: The patients were divided into two groups according to histopathological results of the pathology specimens: abnormal (chronic active gastritis, chronic inactive gastritis, neoplasias) and normal. If the excess weight loss percentage (EWL%) values were over 70% at the end of the first year following LSG, the patients were considered successful in terms of weight loss. The groups were compared in terms of age, gender, preoperative body mass index (BMI) value, as well as postoperative first-year BMI, EWL%, total weight loss percentage (TWL%), and successful patient percentage. RESULTS: A total of 599 patients were included in this study. When the patients were dichotomized according to their pathology results as normal or abnormal, 101 (%83.5) of the patients with normal pathology results had EWL% greater than 70%. On the contrary, 356 (74.5%) of the patients with abnormal pathology results had EWL% greater than 70%, and this difference was statistically significant (p=0.038). CONCLUSION: Patients with normal histopathologic examination results of resected gastric specimens after LSG are more successful than the patient population with abnormal histopathologic results in terms of the percentage of patients with EWL% above 70 at the end of the first postoperative year. We recommend routine histopathologic analysis of gastric specimens after LSG in severely obese patients.

Prospective, multicenter, Turkish out-of-hospital cardiac arrest study: TROHCA.

OBJECTIVES: There is no sufficient data to provide a clear picture of out-of-hospital cardiac arrest (OHCA) across Türkiye. This study is the first to present the prognostic outcomes of OHCA cases and the factors associated with these outcomes. MATERIALS AND METHODS: The study was conducted in a prospective, observational, multicenter design under the leadership of the Emergency Medicine Association of Turkey Resuscitation Study Group. OHCA cases aged 18 years and over who were admitted to 28 centers from Türkiye were included in the study. Survived event, return of spontaneous circulation (ROSC), survival to hospital discharge, and neurological outcome at discharge were investigated as primary outcomes. RESULTS: One thousand and three patients were included in the final analysis. 61.1% of the patients were male, and the average age was 67.0 ± 15.2. Cardiopulmonary resuscitation (CPR) was performed on 86.5% of the patients in the prehospital period by emergency medical service, and bystander CPR was performed on only 2.9% by nonhealth-care providers. As a result, the survived event rate was found to be 6.9%. The survival rate upon hospital discharge was 4.4%, with 2.7% of patients achieving a good neurological outcome upon discharge. In addition, the overall ROSC and sustained ROSC rates were 45.2% and 33.4%, respectively. In the multiple logistic regression analysis, male gender, initial shockable rhythm, a shorter prehospital duration of CPR, and the lack of CPR requirement in the emergency department were determined to be independent predictors for the survival to hospital discharge. CONCLUSION: Compared to global data, survival to hospital discharge and good neurological outcome rates appear to be lower in our study. We conclude that this result is related to low bystander CPR rates. Although not the focus of this study, inadequate postresuscitative care and intensive care support should also be discussed in this regard. It is obvious that this issue should be carefully addressed through political moves in the health and social fields.

Development and Validation of Two Prediction Models for 72-Hour Mortality in High-Risk Trauma Patients Using a Benchmark Dataset: A Comparative Study of Logistic Regression and Neural Networks Models.

Background Many studies have been conducted to develop scoring systems for trauma patients, with the majority using logistic regression (LR) models. Neural networks (NN), which is a machine learning algorithm, has a potential to increase the performance of these models. Objectives The aim of this study was to develop and validate two separate prediction models for 72-hour mortality of high-risk trauma patients using LR and NN and to compare the performances of these models in detail. We also aimed to share the SPSS calculators for our models. Materials and methods This is a retrospective, single-center study conducted using a benchmark dataset where the patients were retrospectively gathered from a level 1 trauma center. Patients older than 18 years of age, who had multiple injuries, and were treated at the University Hospital Zurich between January 1, 1996, and January 1, 2013, were included. Patients with a condition that may have an impact on the musculoskeletal system, with Injury Severity Score<16, and with missing outcome data were excluded. Results A total of 3,075 patients were included in the analysis. The area under the curve values of the LR and NN models for predicting 72-hour mortality in patients with high-risk trauma in the hold-out cohort were 0.859 (95% CI=0.836 to 0.883) and 0.856 (95% CI=0.831 to 0.880), respectively. There was no statistically significant difference in the performance of the models (p = 0.554, DeLong's test). Conclusion Both of the models showed good discrimination. Our study suggests that the NN and LR models we developed hold promise as screening tools for predicting 72-hour mortality in high-risk trauma patients. These models were made available to clinicians as clinical prediction tools via SPSS calculators. However, further external validation studies in diverse populations are necessary to substantiate their clinical utility. Moreover, in subsequent studies, it would be beneficial to derive NN models with substantial events per predictor variable to attain more robust and greater predictive accuracy. If the dataset is relatively limited, using LR seems to be a viable alternative.

Rare Traumatic Pulmonary Pseudocyst in a Seven-year-old Child.

Traumatic pulmonary pseudocyst is a rare type of parenchymal injury, estimated to occur in 0.1% of all chest traumas. We report a rare case of traumatic pulmonary pseudocyst in a seven-year-old boy who presented with a chest injury from a traffic accident. He had a scapula fracture, multiple abrasions on his body, and decreased respiratory sounds in the left hemithorax. His Glasgow Coma Scale score was 15. Chest X-ray suggested a 3 × 3.5 cm cavitary lesion. Computed tomography scan revealed a pulmonary pseudocyst in addition to parenchymal contusion and pneumothorax. A Velpeau bandage was applied to the scapula fracture. After five days of in-hospital observation without any thoracic intervention, the patient was discharged free of complications.

Developing and Validating a New Model to Predict In-Hospital Mortality in Patients with Acute Myocardial Infarction.

OBJECTIVE: To derive and validate a regression model that can successfully and robustly predict in-hospital mortality of patients who underwent percutaneous coronary intervention (PCI) after admission to the Department of Emergency Medicine (ED) with acute myocardial infarction (AMI). STUDY DESIGN: Cohort study. Place and Duration of the Study: ED of University of Health Sciences, Sancaktepe Training and Research Hospital, that worked as a PCI centre between January and March 2022. METHODOLOGY: Patients older than 18 years of age, diagnosed with acute ST elevation myocardial infarction (STEMI) or non-STEMI (NSTEMI) in the ED, and consequently underwent PCI were included. Patients with missing information of the outcome were excluded. For the regression model, backward stepwise logistic regression was utilised. The non-random split-sample development and validation method was used for the internal and external validation of the model. Ejection fraction, diastolic blood pressure, haemoglobin A1c, and haemoglobin were selected as the predictors. RESULTS: A total of 279 patients were included in the analysis. The area under the curve (AUC) of the final model in the derivation cohort was 0.982 (95% CI = 0.956-1.0). The sensitivity was 92.3% (95% CI = 64-99.8) and the specificity was 96.2% (95% CI = 92.3-98.4). The AUC of the final model in the validation cohort was 0.956 (95% CI = 0.904-1.0). The sensitivity was 80% (95% CI = 28.3-99.5) and the specificity was 92.3% (95% CI = 84-97.1). CONCLUSION: The suggested model generated results that can be utilised as a screening tool for predicting in-hospital mortality in patients diagnosed with STEMI or NSTEMI who are admitted to PCI in emergency medicine settings. Nonetheless, it is essential to validate the model in different populations. KEY WORDS: Percutaneous coronary intervention, Mortality, In-hospital mortality, Prediction model, Logistic regression.

Comparison of the effects of different treatment protocols on mortality in patients presenting with an INR≥10 due to warfarin-associated over-anticoagulation.

Aim: One of the most anticipated adverse effects of warfarin is over-anticoagulation. There is little to no evidence on the treatment that should be administered in patients with an international normalized ratio (INR)≥10. The primary outcome of this study is to analyze the effects of various treatments on 30-day mortality in patients with INR≥10 and without major bleeding on 30-day all-cause mortality. The secondary outcome is to propose a model that predicts 30-day all-cause mortality in the same patient group. Methods: Patients older than 18 years of age using warfarin and who had an INR≥10 were included in this retrospective cohort study. Patients with major bleeding on admission were excluded. Patients treated with only cessation of warfarin were named as "Group-1", patients who were treated with vitamin-K in addition to cessation of warfarin were named as "Group-2", and patients who were treated with cessation of warfarin and vitamin-K and fresh frozen plasma or prothrombin complex concentrate were named as "Group-3". Results: 190 patients were included in the analysis. Seven (38.9%) patients in the first group, 3 (8.6%) in the second group, and 21 (15.3%) in the third group died within 30-days(p=0.015). In the post-hoc analysis, the difference between Group-1 and Group-2 was found to be significant(p=0.036, OR:0.147, 95%CI=0.032 to 0.671).The performance of the model in predicting 30-day all-cause mortality was high (AUC=0.818 (95%CI = 0.716 to 0.920) and found to be compatible with the validation dataset 0.806 (95%CI = 0.631 to 0.981). Administration of vitamin K in addition to the cessation of warfarin was found to be a strong contributor to the model and an independent predictor of survival within 30 days(p=0.006). Conclusions: Until randomized controlled studies are conducted, it may be reasonable to administer vitamin-K in addition to cessation of warfarin in non-bleeding patients with INR≥10.

Predictors of 7-day symptomatic hemorrhagic transformation in patients with acute ischemic stroke and proposal of a novel screening tool: A retrospective cohort study.

OBJECTIVES: Hemorrhagic transformation (HT) is significantly related to poor neurological outcomes and mortality. Although variables and models that predict HT have been reported in the literature, the need for a model with high diagnostic performance continues. We aimed to propose a model that can accurately predict symptomatic HT within 7 days of acute ischemic stroke (AIS). METHODS: Patients with AIS admitted to the emergency department of a tertiary training and research hospital between November 07, 2021, and August 26, 2022, were included in this single-center retrospective study. For the model, binary logistics with the forced-entry method was used and the model was validated with 3-fold cross-validation. After the final model was created, the optimal cutoff point was determined with Youden's index. Another cut-off point was determined at which the sensitivity was the highest. RESULTS: The mean age of the 423 patients included in the study was 70 (60-81) and 53.7% (n = 227) of the patients were male. Symptomatic HT was present in 31 (7.3%) patients. Mechanical thrombectomy, atrial fibrillation, and diabetes mellitus were the independent predictors (P < 0.001, P = 0.003, P = 0.006, respectively). The mean area under the curve of the receiver operating characteristics of the model was 0.916 (95% confidence interval [CI] = 0.876-0.957). The sensitivity for the optimal cut-off point was 90.3% (95% CI = 74.3%-97.9%) and specificity was 80.6% (95% CI = 76.4%-84.4%). For the second cutoff point where the sensitivity was 100%, the specificity was 60.5% (95% CI = 55.4%-65.3%). CONCLUSION: The diagnostic performance of our model was satisfactory and it seems to be promising for symptomatic HT. External validation studies are required to implement our results into clinical use.

Posterior Reversible Encephalopathy Syndrome Presented with Typical Radiological Findings.

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Trauma-related oral lesions; Angina bullosa haemorrhagica: a rare case presentation.

Angina bullosa haemorrhgica is a relatively uncommon condition characterized by blood-filled subepithelial lesions in the oral mucosa that is idiopathic and not caused by a systemic disease or a hemostatic abnormality. Middle-aged and elderly patients are usually affected and lesions heal spontaneously without scarring. A rapidly expanding hemorrhagic blister in the oropharynx can induce upper airway obstruction, so recognizing the lesion as soon as possible is essential. Because of its rarity, we wanted to highlight a 42-year-old male patient who presented with hemorrhagic bullae associated with insignificant local trauma in the oral mucosa and to emphasize that Angina bullosa haemorrhagica is a rare but recognizable lesion that clinicians should be aware of.

Can 1st and 6th month pulmonary function test follow-ups give an idea about the long-term respiratory effects of COVID-19 pneumonia?

OBJECTIVE: The aim of this study was to ascertain the long-term respiratory effects of COVID-19 pneumonia through pulmonary function tests in follow-ups at 1 and 6 months. METHODS: Our study was conducted between August 1, 2020 and April 30, 2021. At 1 month after discharge, follow-up evaluations, PFTs, and lung imaging were performed on patients aged above 18 years who had been diagnosed with COVID-19 pneumonia. In the 6th month, the PFTs were repeated for those with pulmonary dysfunction. RESULTS: A total of 219 patients (mean age, 49±11.9 years) were included. Pathological PFT results were noted in the 1st month for 80 patients and in the 6th month for 46 (7 had obstructive disorder, 15 had restrictive disorder, and 28 had small airway obstruction) patients. A significant difference was found between abnormal PFT results and patient-described dyspnea in the 1st month of follow-up. The 6-month PFT values (especially those for forced vital capacity) were statistically significantly lower in the patients for whom imaging did not indicate complete radiological improvement at the 1-month follow-up. No statistically significant difference was found between the severity of the first computed tomography findings or clinical condition on emergency admission and pulmonary dysfunction (Pearson's chi-square test, P=0.904; Fisher's exact test, P=0.727). CONCLUSION: It is important that patients with COVID-19 pneumonia be followed up for at least 1 month after discharge to be monitored for potential long-term lung damage. PFTs should be administered to those in whom ongoing dyspnea, which started with COVID-19, and/or full recovery were not identified in pulmonary imaging.

Factors Predicting the Frequency of Second Seizures in Patients Presenting to the Emergency Department With Seizures: A Prospective Observational Study.

Introduction This study aimed to determine the factors that trigger seizures in patients reporting to our emergency department (ED) with seizures and the factors that affect recurrent seizures during the emergency department stay. Materials and methods This study was designed prospectively and was conducted among patients over the age of 18 years who reported to the ED of the Education and Research Hospital with complaints of epileptic seizure between July 01, 2020 and July 01, 2021. In addition to the sociodemographic information of the patients, the time of admission after the seizure, the medications used, comorbidities, the treatment given in the ED, history of trauma, previous epilepsy diagnosis, time of last seizure, alcohol use in the last 24 hours, insomnia, presence of infective symptoms in the past week, vital parameters, blood tests, and presence of recurrent seizure during hospital follow-up were recorded. Results The median age of the 102 patients included in the statistical analysis was 37 (25%-57%), and 61 (59.8%) were men. Patients who came to the ED with the complaint of seizures were divided into two groups, namely, those who had recurrent seizures and those who did not. When the differences between the groups in terms of various variables were examined, no statistically significant difference was found in the univariate analysis, except for WBC, aspartate aminotransferase (AST), and alanine aminotransferase (ALT) values. The diagnostic value of WBC, AST, and ALT levels in predicting recurrent seizures in emergency follow-up was analyzed using a receiver operating characteristic curve. Conclusion In this study, we could not find a parameter that can predict the probability of recurrent seizures in the ED in patients presenting with epileptic seizures.

Prolongation of QT interval due to hydroxychloroquine overdose used in COVID-19 treatment.

Hydroxychloroquine is one of the most commonly used drugs in COVID-19 treatment. In this case report, we aimed to present a young patient whose QT interval was prolonged due to hydroxychloroquine overdose which was given for COVID-19 treatment. This is the first reported case of QT interval prolongation at a low dose of 1.600 mg in the literature. A 28-year-old male patient was admitted to the emergency department with the complaints of nausea, diarrhea, and weakness. The patient was diagnosed with COVID-19 a day prior and home isolation was recommended with hydroxychloroquine and oseltamivir P. O. treatment. His complaints started 6 h after accidentally taking 1.600 mg of hydroxychloroquine P. O. at the same time. On physical examination, the Glasgow Coma Scale was 15, and neurological, respiratory, and abdominal examinations were normal. His pulse was 54 beats/min, oxygen saturation was 99%, arterial blood pressure was 122/82 mmHg, and fever was 36.5°C. Electrocardiography (ECG) showed sinus bradycardia and corrected QT interval was calculated as 510 ms. The QT interval prolongation and bradycardia persisted, and the patient was hospitalized for follow-up and treatment. He was discharged on the 3rd day of his hospitalization after the corrected QT interval was detected to be 420 ms and his bradycardia improved. Due to the potential cardiac side effects, patients who are sent to home isolation with treatment should be educated about the use, dosage, and possible side effects of this medicine, and serial ECG monitoring should be provided to patients who are hospitalized.