Journals / İstanbul Tıp Fakültesi Dergisi / 2022 / Cilt: 85 - Sayı: 1

PATIENT CHARACTERISTICS AND RISK FACTORS FOR MORTALITY IN 504 HOSPITALIZED PATIENTS DUE TO COVID-19

COVID-19 NEDENİYLE HASTANEYE YATIRILMIŞ 504 HASTANIN ÖZELLİKLERİ VE MORTALİTE AÇISINDAN RİSK FAKTÖRLERİ

Pages
1–8
Publication Date
2022-01-25
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Such a clinical evaluation is crucial for a better understanding of the course of the disease.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Objective: In this study, we aimed to analyze the demographic characteristics, symptoms, and comorbidities of 504 patients hospitalized for COVID-19.
📊
Key Findings & Data:Materials and Methods: This study is a descriptive study involving 504 COVID-19 patients hospitalized between 16.03.2020 and 07.05.2020 at Istanbul Universitys’ Istanbul Faculty of Medicine Hospital.
💡
Conclusion & Impact:Such a clinical evaluation is crucial for a better understanding of the course of the disease.
🔬Design:Research Article
📍Scope:2020 Verileri
⚙️Variables:COVID-19 · Mortalite · Yoğun bakım ünitesine kabul

Abstract

Objective: In this study, we aimed to analyze the demographic characteristics, symptoms, and comorbidities of 504 patients hospitalized for COVID-19. We also sought to describe the relationship between these features and intensive care unit (ICU) admission and mortality. Materials and Methods: This study is a descriptive study involving 504 COVID-19 patients hospitalized between 16.03.2020 and 07.05.2020 at Istanbul Universitys’ Istanbul Faculty of Medicine Hospital. Information about the patients was obtained from the hospital automation system and evaluated retrospectively. Results: The average age of the 504 patients was 56±15.14, and 59.1% of them were male. The proportion of the patients admitted into ICU 11.9% and for 8.52% of them the disease resulted in death. Real time polymerase chain reaction (RT-PCR) test results were positive for 60.5% of the patients. The median time spent in the hospital was eight days. Fifty six percent of the patients had at least one accompanying comorbid disease, with hypertension (39.3%) and diabetes (20.8%) being the most common. Being 65 years old or older (p<0.001), days spent in the hospital (p<0.001), presence of at least one comorbidity (p=0.009), hypertension (p=0.003), coronary artery disease (p=0.004), congestive heart failure (p=0.005) and dyspnea (p<0.001) were all factors found in those admitted to ICU. Conclusion: COVID-19 infection leading to high morbidity-mortality rates and an increased requirement for ICU admission is mainly seen among older patients and those who have dyspnea. During the process of analyzing patients suspected of COVID-19 who are admitted to hospital, it is crucial to consider both the patient’s age and any respiratory symptoms. Such a clinical evaluation is crucial for a better understanding of the course of the disease.

Özet

Amaç: Bu araştırmada, COVID-19 nedeniyle tedavi almak üzere hastaneye yatırılan 504 hastanın demografik özellikleri, semptomları ve komorbiditeleri incelenerek; bu özelliklerin yoğun bakım ünitesine yatış ve mortalite ile ilişkisini ortaya koymak amaçlanmıştır. Gereç ve Yöntem: Bu araştırma, 16.03.2020-07.05.2020 tarihleri arasında COVID-19 tedavisi almak üzere İstanbul Üniversitesi İstanbul Tıp Fakültesi Hastanesi’ne yatırılan 504 hastanın dahil edildiği tanımlayıcı tipte bir araştırmadır. Hastalara ait bilgiler hastane otomasyon sisteminden alınarak retrospektif olarak değerlendirilmiştir. Bulgular: Beşyüz dört hastanın yaş ortalaması 56±15,14 yıldı, hastaların %59,1’i erkekti. Yoğun bakım ünitesine yatışı olan hastaların oranı %11,9; ölen hastaların oranı %8,52’di. Hastaların %60,5’inin test sonucu pozitifti. Hastanede kalınan sürenin ortancası sekiz gündü. Hastaların %56’sının en az bir komorbid hastalığı vardı; hipertansiyon (%39,3) ve diyabet (%20,8) en sık eşlik eden komorbiditelerdi. Altmış beş yaş ve üzeri olmak (p<0,001), hastanede kalınan gün sayısı (p<0,001), en az bir komorbidite varlığı (p=0,009), hipertansiyon (p=0,003), koroner arter hastalığı (p=0,004), konjestif kalp yetmezliği (p=0,005) ve dispne (p<0,001), yoğun bakıma yatış ile ilişkili bulunmuştur. Sonuç: Yüksek morbidite-mortalite oranlarına ve yoğun bakım ünitesine yatış ihtiyacının artmasına neden COVID-19, özellikle yaşlı hastalarda ve dispnesi olan hastalarda daha yüksek mortalite oranlarına neden olmaktadır. Hastaneye başvuran COVID-19 şüpheli hastalar değerlendirilirken özellikle hastanın yaşı ve solunum sistemi semptomları göz önünde bulundurularak klinik değerlendirilmesinin yapılması hastalığın seyri açısından önem taşımaktadır.

🔖

Cite This Article

MEDETALİBEYOĞLU, A., EZİRMİK, E., ŞENKAL, N., BAYRAKDAR, S., AKTAR, İ., AKAS, R., YILMAZ, E., ARICI, H., KOSE, M., AKPINAR, T., ÇAĞATAY, A., TÜKEK, T. (2022). PATIENT CHARACTERISTICS AND RISK FACTORS FOR MORTALITY IN 504 HOSPITALIZED PATIENTS DUE TO COVID-19. İstanbul Tıp Fakültesi Dergisi, Cilt: 85 - Sayı: 1, 1–8. https://ajindex.com/articles/373215

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (9)

  1. WHO Virtual press conference on COVID-19 - 11 March 2020 [Internet]. 2020 [cited 2021 Apr 16]. p. 1-17. Available from: https://www.who.int/docs/default-source/coronaviruse/ transcripts/who-audio-emergencies-coronavirus-pressconference- full-and-final-11mar2020.pdf?sfvrsn=cb432bb3_2 2. Republic of Turkey Ministry of Health COVID-19 Information Platrform [Internet]. 2020. Available from: https://covid19. saglik.gov.tr/TR-66494/pandemi.html 3. Grasselli G, Pesenti A, Cecconi M. Critical care utilization for the COVID-19 outbreak in Lombardy, Italy early experience and forecast during an emergency response. J Am Med Assoc 2020
  2. 323(16):1545-6. [CrossRef] 4. Grasselli G, Zangrillo A, Zanella A, Antonelli M, Cabrini L, Castelli A, et al. Baseline characteristics and outcomes of 1591 patients infected with SARS-CoV-2 admitted to ICUs of the Lombardy region, Italy. JAMA - J Am Med Assoc 2020
  3. 323(16):1574-81. [CrossRef] 5. WHO Coronavirus (COVID-19) Dashboard | WHO Coronavirus (COVID-19) Dashboard With Vaccination Data. 2021 [cited 2021 Apr 16]. Available from: https://covid19.who.int/ 6. Republic of Turkey ministry of health COVID-19 information platform general coronavirus table 2021. Available from: https://covid19.saglik.gov.tr/EN-69532/general-coronavirustable. html 7. Li J, Huang DQ, Zou B, Yang H, Hui WZ, Rui F, et al. Epidemiology of COVID-19: A systematic review and meta-analysis of clinical characteristics, risk factors, and outcomes. J Med Virol 2021
  4. 93(3):1449-58. [CrossRef] 8. Ge H, Wang X, Yuan X, Xiao G, Wang C, Deng T, et al. The epidemiology and clinical information about COVID-19. Eur J Clin Microbiol Infect Dis 2020
  5. 39(6):1011-9. [CrossRef] 9. Abdollahi E, Champredon D, Langley JM, Galvani AP, Moghadas SM. Temporal estimates of case-fatality rate for COVID-19 outbreaks in Canada and the United States. Can Med Assoc J 2020
  6. 192(25):E666-70. [CrossRef] 10. Yang S, Cao P, Du P, Wu Z, Zhuang Z, Yang L, et al. Early estimation of the case fatality rate of COVID-19 in mainland China: a data-driven analysis. Ann Transl Med 2020
  7. 8(4):128. [CrossRef] 11. Rajgor DD, Lee MH, Archuleta S, Bagdasarian N, Quek SC. The many estimates of the COVID-19 case fatality rate. Lancet Infect Dis 2020
  8. 20(7):776-7. [CrossRef] 12. Velavan TP, Meyer CG. The COVID-19 epidemic. Trop Med Int Heal 2020
  9. 25(3):278-80. [CrossRef] 13. Bertsimas D, Lukin G, Mingardi L, Nohadani O, Orfanoudaki A, Stellato B, et al. COVID-19 mortality risk assessment: An international multi-center s