Is SARS-CoV-2 viral load a predictor of mortality in COVID-19 acute respiratory distress syndrome patients?

Dogan L., Allahverdiyeva A., Önel M., Meşe S., Saka Ersin E., Anaklı İ., ...Daha Fazla

JOURNAL OF INTERNATIONAL MEDICAL RESEARCH, cilt.50, sa.11, 2022 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 50 Sayı: 11
  • Basım Tarihi: 2022
  • Doi Numarası: 10.1177/03000605221137443
  • Dergi Adı: JOURNAL OF INTERNATIONAL MEDICAL RESEARCH
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, PASCAL, BIOSIS, CAB Abstracts, EMBASE, Food Science & Technology Abstracts, MEDLINE, Veterinary Science Database, Directory of Open Access Journals
  • Anahtar Kelimeler: coronavirus disease, cycle threshold, Inflammation, intensive care unit, mortality, viral load
  • Acıbadem Mehmet Ali Aydınlar Üniversitesi Adresli: Evet

Özet

ObjectiveViral load varies during infection and is higher during the initial stages of disease. Given the importance of the intensive care unit (ICU) in the late stages of COVID-19 infection, analyzing cycle threshold values to detect viral load upon ICU admission can be a clinically valuable tool for identifying patients with the highest mortality risk. MethodsThis was a retrospectively designed study. Patients older than 18 years who tested positive for SARS-CoV-2 PCR and had a PaO2/FiO(2) ratio ResultsTwo hundred patients were included in the study. In non-survivors, age, relevant ICU admission scores, and procalcitonin levels were significantly higher whereas PaO2/FiO(2) ratios and cycle threshold levels were significantly lower than in survivors. ConclusionViral load at ICU admission has significant prognostic value. In combination with age, comorbidities, and severity scores, viral load may assist clinicians in identifying individuals who need more intensive monitoring. Increased awareness may improve outcomes by allowing the more effective monitoring and treatment of patients. More prospective studies are needed to determine how a high viral load worsens disease and how to avoid irreversible results.