Araştırma Makalesi

Intensive Care Prediction During Treatment Of Covid-19 Patients

Cilt: 12 Sayı: 2 31 Ağustos 2022
  • Ahmet Sen Sen *
  • Cagatay Erman Ozturk
  • Sude Hatun Aktimur
  • Serhat Genc
  • Selim Gorgun
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EN

Intensive Care Prediction During Treatment Of Covid-19 Patients

Öz

Aim: We aimed to research the routine examinations, clinical and radiological findings of patients hospitalized with the diagnosis of Covid-19, the clinical course of the patients whose treatments were ongoing, and the markers that could predict the possibility of admission to the intensive care unit. Materials and Methods: Retrospectively compared the examinations and findings on the day of hospitalization of the patients who were followed up for Covid-19 treatment with the data on the first day of their admission to the intensive care unit. Results: Out of 195 patients treated with the diagnosis of Covid-19 in the service on the first day. Fever, shortness of breath, chest pain, and cough were the most common symptoms. Platelet and lymphocyte ratio was higher in the patients' first days in the service compared to the first days in intensive care, and the change that occurred was statistically significant (p<0.05). A significant difference was found between SOFA score and gender (p<0.05) and between SOFA score and age (p<0.05). Conclusion: Covid-19 patients with comorbid diseases such as advanced age, diabetes, hypertension, heart and respiratory failure, and acute and chronic renal failure carry a higher risk.

Anahtar Kelimeler

Kaynakça

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Ayrıntılar

Birincil Dil

İngilizce

Konular

Klinik Tıp Bilimleri

Bölüm

Araştırma Makalesi

Yazarlar

Cagatay Erman Ozturk Bu kişi benim
0000-0001-6959-1695
Türkiye

Sude Hatun Aktimur Bu kişi benim
0000-0002-7468-1721
Türkiye

Yayımlanma Tarihi

31 Ağustos 2022

Gönderilme Tarihi

23 Eylül 2021

Kabul Tarihi

8 Mayıs 2022

Yayımlandığı Sayı

Yıl 2022 Cilt: 12 Sayı: 2

Kaynak Göster

APA
Sen, A. S., Ozturk, C. E., Aktimur, S. H., Genc, S., & Gorgun, S. (2022). Intensive Care Prediction During Treatment Of Covid-19 Patients. Kafkas Journal of Medical Sciences, 12(2), 116-121. https://izlik.org/JA79YA83CT
AMA
1.Sen AS, Ozturk CE, Aktimur SH, Genc S, Gorgun S. Intensive Care Prediction During Treatment Of Covid-19 Patients. KAFKAS TIP BİL DERG. 2022;12(2):116-121. https://izlik.org/JA79YA83CT
Chicago
Sen, Ahmet Sen, Cagatay Erman Ozturk, Sude Hatun Aktimur, Serhat Genc, ve Selim Gorgun. 2022. “Intensive Care Prediction During Treatment Of Covid-19 Patients”. Kafkas Journal of Medical Sciences 12 (2): 116-21. https://izlik.org/JA79YA83CT.
EndNote
Sen AS, Ozturk CE, Aktimur SH, Genc S, Gorgun S (01 Ağustos 2022) Intensive Care Prediction During Treatment Of Covid-19 Patients. Kafkas Journal of Medical Sciences 12 2 116–121.
IEEE
[1]A. S. Sen, C. E. Ozturk, S. H. Aktimur, S. Genc, ve S. Gorgun, “Intensive Care Prediction During Treatment Of Covid-19 Patients”, KAFKAS TIP BİL DERG, c. 12, sy 2, ss. 116–121, Ağu. 2022, [çevrimiçi]. Erişim adresi: https://izlik.org/JA79YA83CT
ISNAD
Sen, Ahmet Sen - Ozturk, Cagatay Erman - Aktimur, Sude Hatun - Genc, Serhat - Gorgun, Selim. “Intensive Care Prediction During Treatment Of Covid-19 Patients”. Kafkas Journal of Medical Sciences 12/2 (01 Ağustos 2022): 116-121. https://izlik.org/JA79YA83CT.
JAMA
1.Sen AS, Ozturk CE, Aktimur SH, Genc S, Gorgun S. Intensive Care Prediction During Treatment Of Covid-19 Patients. KAFKAS TIP BİL DERG. 2022;12:116–121.
MLA
Sen, Ahmet Sen, vd. “Intensive Care Prediction During Treatment Of Covid-19 Patients”. Kafkas Journal of Medical Sciences, c. 12, sy 2, Ağustos 2022, ss. 116-21, https://izlik.org/JA79YA83CT.
Vancouver
1.Ahmet Sen Sen, Cagatay Erman Ozturk, Sude Hatun Aktimur, Serhat Genc, Selim Gorgun. Intensive Care Prediction During Treatment Of Covid-19 Patients. KAFKAS TIP BİL DERG [Internet]. 01 Ağustos 2022;12(2):116-21. Erişim adresi: https://izlik.org/JA79YA83CT