Hematologic and coagulopathy parameter as a survival predictor among moderate to severe COVID-19 patients in non- ICU ward: a single-center study at the main referral hospital in Surabaya, East Java, Indonesia

• Main Authors: Siprianus Ugroseno Yudho Bintoro, -, Ni Made Intan Dwijayanti, -, Dana Pramudya, -, Putu Niken Amrita, -, Pradana Zaky Romadhon, -, Tri Pudy Asmarawati, -, Arief Bachtiar, -, Usman Hadi, -
• Format: Article PeerReviewed
• Language: English; English; English; English
• Published: Taylor & Francis 2021
• Subjects: R Medicine (General); RC Internal medicine
• Online Access: http://repository.unair.ac.id/109536/1/1.%20Hematologic%20and%20coagulopathy%20parameter%20as%20a%20survival%20predictor%20among%20moderate%20to%20severe%20COVID-19%20patients.pdf; http://repository.unair.ac.id/109536/2/Hematologic.pdf; http://repository.unair.ac.id/109536/3/Hematologic%20and%20coagulopathy%20parameter%20as%20a%20survival%20predictor%20among%20moderate%20to%20severe%20COVID-19%20patients%20in%20non-ICU%20ward_%20a%20single-center%20study%20at%20the%20main%20referal%20hospital%20in%20Surabaya%2C%20East%20Java.pdf; http://repository.unair.ac.id/109536/4/Bukti%20Korespondensi%20Hematologic.pdf; http://repository.unair.ac.id/109536/; https://f1000research.com/articles/10-791; https://doi.org/10.12688/f1000research.53803.1
• Institution: Universitas Airlangga

Background : This research aimed to examine and analyze risk factors for death, hematologic parameters and coagulation in COVID-19 patients at RSUD Dr. Soetomo Surabaya, one of the referral centers for probable COVID-19 patient cases in East Java. Method : This was a retrospective analytical study by taking secondary data on patients with probable COVID-19 cases who were treated in hospital isolation rooms from May to September, 2020. Result : Of 538 probable COVID-19 patients, 217 tested positive, with an average age of 52.11±13.12 years, and there were 38 death cases. Hematologic parameters, such as white blood cell, neutrophil and lymphocyte counts, were significantly different in the deceased group. On the other hand, coagulation parameters, consisting of D-dimer, CRP, PT, and aPTT showed significantly similar value in the deceased group. Univatiate analysis concluded that chronic kidney disease, diabetes mellitus, coronary heart disease, WBC, NLR, and PPT counts could predict the mortality, while multivariate analysis revealed that coronary heart disease was the only significant independent predictor of mortality. Conclusion : This research shows that hematologic and coagulation parameters were increased in the majority of COVID-19 patients and the deceased group. While the number of neutrophils and WBC increases, the number of lymphocytes decreases significantly with increasing disease severity. Coronary heart disease is an independent predictor of mortality.