scholarly journals 20 The Use of Delta-Modified Early Warning Scores Predicts Additional Mortality Risk Within Quick Sequential Organ Failure Assessment-Negative Emergency Department Patients

2019 ◽  
Vol 74 (4) ◽  
pp. S9
Author(s):  
N. Murdock Levin ◽  
D. Horton ◽  
M. Sanford ◽  
M. Saseendran ◽  
K. Graves ◽  
...  
Author(s):  
Kavous Shahsavarinia ◽  
Aydin Mahmoud Alilou ◽  
Sevil Mahmoud Alilou ◽  
Parinaz Mahmoud Alilou ◽  
Afshin Gharekhani ◽  
...  

Background: The current study aimed to evaluate the predictive value of mortality in patients admitted to the Intensive Care Unit (ICU) through the emergency department and based on Quick Sequential Organ Failure Assessment (qSOFA), National Early Warning Score (NEWS) and NEWS2 criteria. Methods: In this cross-sectional study, all patients referred to the emergency department with a need of admission to ICU for any reason, were evaluated. Demographic data such as age and sex were recorded for data collection. Also, the main diagnosis, length of stay and hospitalization outcome along with data related to qSOFA, NEWS and NEWS2 indices were included in the researcher's checklist. Results: Of 89 included patients, 52 (58.4%) were male and 37 (41.6%) were female, with mean age of 60.25±20.8. Our findings indicated that qSOFA is a good predictor for mortality in non-traumatic patients so that qSOFA has 48% sensitivity and 100% specificity in the diagnosis of mortality in non-trauma patients. NEWS also has a sensitivity of 72% and a specificity of 71.4% in the diagnosis of non-traumatic mortality. And NEWS2 has 72% sensitivity and 78.6% specificity in non-traumatic mortality diagnosis. Conclusion: Our findings suggested that the sensitivity and specificity of qSOFA, NEWS and NEWS2 in predicting the mortality of non-traumatic patients who were admitted in emergency departments and hospitalized in ICU, are high and reliablen.


2016 ◽  
Vol 8 (2) ◽  
Author(s):  
Leo Rendy ◽  
Heber B. Sapan ◽  
Laurens T. B. Kalesaran ◽  
Julius H. Lolombulan

Abstract: Multiple organ dysfunction syndrome (MODS) in patients with major trauma remains to be frequent and devastating complication during clinical course in emergency department and intensive care unit (ICU). The ability to easily and accurately identify patients at risk for MODS postinjury especially in multitrauma cases would be very valuable. This study aimed to construct an instrument for prediction of the development of MODS in adult multitrauma patients using clinical and laboratory data available in the first day at prahospital and emergency department (hospital) setting. This was a prospective study. Samples were adult multitrauma patients with Injury Severity Score (ISS) ≥16, aged 16-65 years old, admitted to 4 academic Level-I trauma center from September 2014 to September 2015. Sequential organ failure assessment (SOFA) score was used to determine MODS during hospitalization. A risk score created from the final regression model consisted of significant variables as MODS predictor. The results showed that there were 98 multitrauma patients as samples. The mean age was 35.2 years old; mostly male (85.71%); the mean of ISS was 23.6; mostly (76.53%) were caused by blunt injury mechanism. MODS was encountered in 43 patients (43.87%). The prediction risk score consists of Revised Trauma Score (RTS) (<7.25) and serum lactate level ≥2 mmol/L. This study also verified several independent risk factors for post multitrauma MODS, such as ISS >25, presence of SIRS, shock grade 2 or more, and white blood cell count >12,000/mm3. Conclusion: We derived a novel, simple, and applicable instrument to predict MODS in adult following multitrauma. The use of this scoring system may allow early identification of multitrauma patients who are at risk for MODS and result in more aggressive targeted resuscitation and better referral allocation based on regional trauma system.Keywords: MODS, multitrauma, emergency department, MODS prediction scoreAbstrak: Sindrom disfungsi multi-organ (MODS) merupakan komplikasi buruk yang sering terjadi sepanjang perjalanan klinis pasien trauma mayor di Unit Gawat Darurat (UGD) maupun di ruang perawatan intensif. Suatu nilai patokan yang dapat memprediksi MODS pascatrauma secara akurat sejak dini tentunya sangat berharga bagi tatalaksana pasien terutama pada kasus multitrauma. Penelitian ini bertujuan untuk membuat suatu instrumen yang dapat memrediksi perkembangan MODS pada pasien dewasa multitrauma dengan menggunakan data klinis dan laboratorium yang tersedia pada 24 jam pertama pasca trauma pada seting fase prahospital maupun di fase hospital sejak di UGD. Jenis penelitian ini prospektif, mengumpulkan pasien multitrauma dengan Injury Severity Score (ISS) ≥16, rentang usia 16-65 tahun, di 4 pusat trauma level-1 rumah sakit pendidikan selama 1 tahun (September 2014-2015). Dilakukan pencatatan data klinis dan laboratorium sesuai perkembangan pasien. Skor sequential organ failure assessment (SOFA) digunakan untuk menentukan adanya MODS selama perawatan. Skor prediksi dibuat dengan membangun model regresi logistik yang signifikan untuk memrediksi terjadinya MODS pasca multitrauma. Hasil penelitian mendapatkan 98 sampel multitrauma yang memenuhi kriteria inklusi dengan rerata usia 35,2 tahun, sebagian besar laki-laki (85,71%) dengan rerata ISS 23,6, dan disebabkan oleh trauma tumpul (76,53%). MODS terjadi pada 43 pasien (43,87%). Skor prediksi terdiri dari RTS dengan (cut off point 7,25) dan kadar laktat serum (cut off point 3,44 mmol/mL). Penelitian ini juga memverifikasi beberapa faktor risiko individual terjadinya MODS pasca multitrauma yaitu ISS>25, adanya SIRS, syok derajat 2 atau lebih, dan leukositosis >12.000. Simpulan: Kami melaporkan instrumen baru yang praktis untuk memrediksi MODS pada pasien multitrauma dewasa. Skor ini memungkinkan identifikasi dini pasien trauma yang berisiko akan mengalami MODS sehingga dapat menjadi tanda alarm dilakukannya resusitasi yang lebih agresif dan tepat serta alokasi rujukan pasien yang lebih efisien berdasarkan sistem trauma regional.Kata kunci: MODS, multitrauma, UGD, skor prediksi MODS


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