Klinik Araştırma

Use of Early Warning Scoring Systems to Predict the Prognosis of COVID-19 Patients in the Emergency Department

Cilt: 13 Sayı: 3 31 Mayıs 2023
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Use of Early Warning Scoring Systems to Predict the Prognosis of COVID-19 Patients in the Emergency Department

Öz

Aim: Increased emergency department (ED) admissions and the need for intensive care unit (ICU) brought with the pandemic has led to the need to make fast and accurate decisions. Early warning scores (EWS) may be useful in ED in this regard. This study was performed to evaluate the effectiveness of EWS in predicting mortality and need for ICU of patients with COVID-19. Materials and methods: This retrospective observational study was performed with subjects presented to the ED and were later admitted to a general ward or to the ICU because of COVID-19. Subjects aged ≥18 years with positive RT-PCR were included in the study. Subjects experienced a cardiac or respiratory arrest or intubated at the time of presentation to the ED and pregnant women were excluded from the study. MEWS, NEWS, NEWS-2, REMS, and qSOFA scores were calculated using patients’ data on first presentation. We examined the association of these scoring systems with mortality and need for ICU. Results: While 60(10%) of the 600 patients participating in the study were admitted to the ICU, 222(37%) patients died. The scoring systems’ negative predictive values for predicting ICU admission were 0.95, 0.98, 0.97, 0.96, and 0.96 respectively and for predicting mortality were 0.61, 0.67, 0.67, 0.66, and 0.61 respectively. All scorings assessed were significant predictors of the need for ICU and mortality in patients with COVID-19. Conclusions: All evaluated scoring systems were successful; however, NEWS and NEWS-2 had the highest predictive value both for the need for ICU and mortality.

Anahtar Kelimeler

Destekleyen Kurum

yok

Proje Numarası

yok

Kaynakça

  1. 1. Wu Z, McGoogan JM. Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China: Summary of a Report of 72314 Cases From the Chinese Center for Disease Control and Prevention. JAMA 2020;323:1239-1242.
  2. 2. Wu C, Chen X, Cai Y et al. Risk Factors Associated With Acute Respiratory Distress Syndrome and Death in Patients With Coronavirus Disease 2019 Pneumonia in Wuhan, China. JAMA Intern Med 2020;180:934-943.
  3. 3. Wang D, Hu B, Hu C et al. Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus-Infected Pneumonia in Wuhan, China. JAMA 2020;323:1061-1069.
  4. 4. Çınaroğlu OS, Efgan MG, Payza U. The relationship of lactate clearance with mortality in COVID-19 pneumonia. Ann Clin Anal Med 2022;13:85-88.
  5. 5. Çınaroğlu OS, Efgan MG, Payza U. A New Predictor of Mortality in COVID-19 Pneumonia: The BUN/Lymphocyte Ratio. Forbes J Med. 2023; 4: 89-94.
  6. 6. Efgan MG, Payza U, Çınaroğlu OS, Acar H, Kayalı A. A Comparison of BUN/Albumin Ratio with PSI and CURB-65 for Predicting Mortality in COVID-19 Pneumonia in the Emergency Department. İstanbul Med J 2022; 23: 296-300.
  7. 7. Kostakis I, Smith GB, Prytherch D, Meredith P, Price C, Chauhan A. The performance of the National Early Warning Score and National Early Warning Score 2 in hospitalised patients infected by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Resuscitation. 2021;159:150-157. doi: 10.1016/j.resuscitation.2020.10.039.
  8. 8. Lyons PG, Edelson DP, Churpek MM. Rapid response systems. Resuscitation 2018;128:191-197.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Sağlık Kurumları Yönetimi

Bölüm

Klinik Araştırma

Yayımlanma Tarihi

31 Mayıs 2023

Gönderilme Tarihi

11 Nisan 2023

Kabul Tarihi

30 Mayıs 2023

Yayımlandığı Sayı

Yıl 2023 Cilt: 13 Sayı: 3

Kaynak Göster

APA
Korkmaz, N., Karakaya, Z., Acar, H., Bilgin, S., Kayalı, A., & Ermete Güler, E. (2023). Use of Early Warning Scoring Systems to Predict the Prognosis of COVID-19 Patients in the Emergency Department. Journal of Contemporary Medicine, 13(3), 490-495. https://doi.org/10.16899/jcm.1281069
AMA
1.Korkmaz N, Karakaya Z, Acar H, Bilgin S, Kayalı A, Ermete Güler E. Use of Early Warning Scoring Systems to Predict the Prognosis of COVID-19 Patients in the Emergency Department. Journal of Contemporary Medicine. 2023;13(3):490-495. doi:10.16899/jcm.1281069
Chicago
Korkmaz, Nurettin, Zeynep Karakaya, Hüseyin Acar, Serkan Bilgin, Ahmet Kayalı, ve Ecem Ermete Güler. 2023. “Use of Early Warning Scoring Systems to Predict the Prognosis of COVID-19 Patients in the Emergency Department”. Journal of Contemporary Medicine 13 (3): 490-95. https://doi.org/10.16899/jcm.1281069.
EndNote
Korkmaz N, Karakaya Z, Acar H, Bilgin S, Kayalı A, Ermete Güler E (01 Mayıs 2023) Use of Early Warning Scoring Systems to Predict the Prognosis of COVID-19 Patients in the Emergency Department. Journal of Contemporary Medicine 13 3 490–495.
IEEE
[1]N. Korkmaz, Z. Karakaya, H. Acar, S. Bilgin, A. Kayalı, ve E. Ermete Güler, “Use of Early Warning Scoring Systems to Predict the Prognosis of COVID-19 Patients in the Emergency Department”, Journal of Contemporary Medicine, c. 13, sy 3, ss. 490–495, May. 2023, doi: 10.16899/jcm.1281069.
ISNAD
Korkmaz, Nurettin - Karakaya, Zeynep - Acar, Hüseyin - Bilgin, Serkan - Kayalı, Ahmet - Ermete Güler, Ecem. “Use of Early Warning Scoring Systems to Predict the Prognosis of COVID-19 Patients in the Emergency Department”. Journal of Contemporary Medicine 13/3 (01 Mayıs 2023): 490-495. https://doi.org/10.16899/jcm.1281069.
JAMA
1.Korkmaz N, Karakaya Z, Acar H, Bilgin S, Kayalı A, Ermete Güler E. Use of Early Warning Scoring Systems to Predict the Prognosis of COVID-19 Patients in the Emergency Department. Journal of Contemporary Medicine. 2023;13:490–495.
MLA
Korkmaz, Nurettin, vd. “Use of Early Warning Scoring Systems to Predict the Prognosis of COVID-19 Patients in the Emergency Department”. Journal of Contemporary Medicine, c. 13, sy 3, Mayıs 2023, ss. 490-5, doi:10.16899/jcm.1281069.
Vancouver
1.Nurettin Korkmaz, Zeynep Karakaya, Hüseyin Acar, Serkan Bilgin, Ahmet Kayalı, Ecem Ermete Güler. Use of Early Warning Scoring Systems to Predict the Prognosis of COVID-19 Patients in the Emergency Department. Journal of Contemporary Medicine. 01 Mayıs 2023;13(3):490-5. doi:10.16899/jcm.1281069