Bedside ocular ultrasound is a noninvasive and easily applicable method in ER for the detection and evaluation of intracranial hypertension with headache.

Sağlık hizmetlerinin başlıca hedefleri; sunulan sağlık hizmeti kalitesini arttırmak, toplumun her yerine ve tüm bireylerine eşit, etkili, kaliteli sağlık hizmeti sunmak, hasta memnuniyetini yükseltmek, sağlık hizmetlerinin verimliliğini ve etkinliğini daha yüksek seviyelere ulaştırmaktır. Sağlık sektöründe sunulan hizmetin kalitesini belirlemek için hizmet kalitesini oluşturan bileşenleri incelemek gereklidir. Hizmet kalitesini etkileyen faktörler; ortamın fiziksel özellikleri, hizmetin zamanlaması, hizmetin alındığı kişinin konusunda uzman olması, hizmetin sürekliliği, güvenilir ve doğru olmasıdır. 31 Aralık 2019’da Dünya Sağlık Örgütü (DSÖ) Çin Ülke Ofisi, Çin’in Hubei eyaletinin Wuhan şehrinde etiyolojisi bilinmeyen pnömoni vakalarını bildirmiştir. 7 Ocak 2020’de etken daha önce insanlarda tespit edilmemiş yeni bir koronavirüs (2019- nCoV) olarak tanımlanmıştır. Daha sonra 2019-nCoV hastalığının adı Covid-19 olarak kabul edilmiş, virüs SARS-CoV’e yakın benzerliğinden dolayı SARS-CoV-2 olarak isimlendirilmiştir. Ülkemizde Covid-19 ile ilgili çalışmalar 10 Ocak 2020’de başlamış ve 22 Ocak 2020’de T.C. Sağlık Bakanlığı Bilimsel Danışma Kurulu ilk toplantısı gerçekleştirilmiş, alınan önlemler ile ilk Covid-19 vakası 11 Mart 2020 tarihinde ülkemizde görülmüştür. Bu çalışma Mart 2019 ile Kasım 2019 ve Mart 2020 ile Kasım 2020 tarihleri arasında Uludağ Üniversitesi Tıp Fakültesi (UÜTF) hastanesine yönelik yapılmış olan şikâyet başvurularının araştırılması ve Covid-19 pandemisi döneminde şikâyet nedenlerinde farklılık görülüp görülmediğinin belirlenmesi amacıyla yapılmış olup böylece gerekli tedbirlerin alınabilmesi amaçlanmıştır. Araştırmamızda 2019 yılı için 840, 2020 yılı için 668 toplamda 1508 veri incelenmiştir. Sağlıkta Dönüşüm Programı (SDP) kapsamında artık hastaların beklentileri de artmıştır. Hasta memnuniyetinin arttırılması, ancak mevcut olan aksaklıkların değerlendirilmesi ve aksaklıklarla ilgili olarak düzenlemelere gidilmesi ile sağlanabilir.

Introduction: Minor head traumas constitute a significant part of childhood injuries. The incidence of intracranial pathologies in children with minor head trauma varies in the range of 3%–5%, but it is higher among younger infants. The criteria of the Pediatric Emergency Care Applied Research Network, Canadian Assessment of Tomography for Childhood Head Injury, and Children’s Head Injury Algorithm for the Prediction of Important Clinical Events are the most frequently accepted clinical decision-making criteria that were developed for selective computerized tomography requests. This study was conducted to assess the diagnostic performances of the Pediatric Emergency Care Applied Research Network, Canadian Assessment of Tomography for Childhood Head Injury, and Children’s Head Injury Algorithm for the Prediction of Important Clinical Events criteria in Turkish society, determine their validity, and find the most suitable algorithm for cranial imaging in children with minor head trauma. Methods: This study retrospectively examined the data of patients under the age of 18 years who were admitted to the Emergency Medicine Department of Uludağ University Medical Faculty due to minor head trauma; 530 patients were included as they complied with the criteria. The exclusion criteria were being any trauma patients above the age of 18 years, Glasgow Coma Scale <13, pregnant patients, hemorrhagic diathesis, using anticoagulants, patients with penetrant trauma, patients with priorly known brain tumor, and patients with neurological diseases. The patients were divided into group based on the Pediatric Emergency Care Applied Research Network, Canadian Assessment of Tomography for Childhood Head Injury, and Children’s Head Injury Algorithm for the Prediction of Important Clinical Events Criteria. Results: Among all patients, 37.40% were female and 62.60% were male. Abnormal computed tomography findings such as epidural bleeding, subdural bleeding, and skull fractures were detected in 44 of the patients. The sensitivity of the Pediatric Emergency Care Applied Research Network criteria was 72.4%, the specificity was 54.5%, the sensitivity of the Canadian Assessment of Tomography for Childhood Head Injury criteria was 57.8%, the specificity was 50%, the sensitivity of the Children’s Head Injury Algorithm for the Prediction of Important Clinical Events criteria was 87.7%, and the specificity was 20%. Conclusion: Given the populations to which the rules apply, it is understood that the Children’s Head Injury Algorithm for the Prediction of Important Clinical Events criteria is more determinative in detecting pathological computed tomography outcomes compared to Pediatric Emergency Care Applied Research Network and Canadian Assessment of Tomography for Childhood Head Injury.

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Background: Early and effective treatment of patients with sepsis requires early recognition in emergency department and understanding the severity of the disease. Many studies have been conducted for this purpose, and many of scoring systems have been developed that provide early recognition of these patients and show their severity. Objectives: The aim of this study is to evaluate the efficacy of the scoring systems used to determine the mortality of patients with infections admitted in emergency department. Methods: In all, 400 patients who admitted to Uludağ University Hospital Emergency Department were prospectively included in this study. In addition to Systemic Inflammatory Response Syndrome score, Quick SOFA score, Mortality in Emergency Department Sepsis score, Modified Early Warning Score, and Charlson Comorbidity Index score in all patients, CURB-65 score was calculated in the patients diagnosed with pneumonia. It has been aimed to determine the power of these scores’ predictive mortality rates and their superiority to each other. Results: It was found that Mortality in Emergency Department Sepsis score and Quick SOFA score could be used with similar efficacy (respectively p = 0.761 and p = 0.073) in determining early mortality in emergency department (5th and 14th days) and that MEDS score was more effective (p < 0.001) in predicting the 28th-day mortality. While these recommendations were valid in patients diagnosed with pneumonia, it was determined that CURB-65 score could also be used to estimate 5th-, 14th-, and 28th-day mortalities (respectively, for the 5th day, p = 0.894 and p = 0.256; for the 14th day, p = 0.425 and p = 0.098; and for the 28th day, p = 0.095 and p = 0.158). The power of Systemic Inflammatory Response Syndrome score, previously used to identify sepsis, in predicting mortality was detected to be lower. Conclusion: Mortality in Emergency Department Sepsis score and Quick SOFA score could be used with similar efficacy in determining early mortality in emergency department. However, if you want to predict 28th-day mortality rate, it can be better to use Mortality in Emergency Department Sepsis score or CURB-65 (in patients diagnosed with pneumonia).