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DC Field | Value | Language |
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dc.contributor.author | Katar, Muzaffer | - |
dc.contributor.author | Onder, Yalcin | - |
dc.contributor.author | Citil, Rıza | - |
dc.date.accessioned | 2024-11-19T06:51:58Z | - |
dc.date.available | 2024-11-19T06:51:58Z | - |
dc.date.issued | 2022 | - |
dc.identifier.issn | 2618-642X | - |
dc.identifier.uri | http://localhost:8080/xmlui/handle/123456789/8118 | - |
dc.description.abstract | Objectives: We retrospectively analyzed COVID-19 patients for clinical and hematologic features and tried to define the most appropriate markers to diagnose and predict the severity. Methods: This is a retrospective cross-sectional study. All 4443 patients included were diagnosed with reverse trancription- polymerase chain reaction between January 1 and December 30, 2020. We classified patients according to their mode of treatment: outpatient, inpatient in the ward, or inpatients in the intensive care unit (ICU). Results: The mean age of 2283 (51.4%) women and 2160 (48.6%) men included in the study was determined to be 39.77±17.30. Of the 4443 patients, 3985 (89.7%) were outpatients, 330 (7.4%) were inpatients, and 128 (2.9%) patients were treated in the ICU. The mean hospital stay was 8.36±4.55 days for the survivors in the ward group and 2.67±1.53 days for those who died (p=0.031). The mean hospitalization time of the survivors in the ICU group was 19.97±12.09 days, and the mean hospitalization time of the deceased was 13.10±9.99 days (p=0.001). Age, ferritin, D-dimer, glucose, ALT, AST, urea, creatinine, CRP, HgA1c, IMG, IMG%, and RDW-SD showed a gradual and significant increase in outpatient, ward, and ICU groups (p<0.001). Na, K, Neu, Neu%, MCV, RDW-CV, MPV, NLR, PLR, and NMR increased gradually from the outpatient group to the service and ICU groups, whereas Ca, RBC, Hgb, and Hct values decreased significantly (p<0.001). WBC, lymph%, and RDW were highest in the ICU group. Conclusion: Advanced age and being male are important risk factors for hospitalization. Indexes such as NLR, PLR, LCR, NMR, and LMR can be used to predict the severity of the disease. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | International Journal of Medical Biochemistry | en_US |
dc.relation.ispartofseries | Research Article;34-43 | - |
dc.subject | COVID-19 | en_US |
dc.subject | inflammation markers | en_US |
dc.subject | LCR | en_US |
dc.subject | NLR | en_US |
dc.subject | PLR | en_US |
dc.title | Comparison of inflammation markers in different severities of COVID-19 disease | en_US |
dc.type | Article | en_US |
Appears in Collections: | Vol 5 No 1 (2022) |
Files in This Item:
File | Description | Size | Format | |
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34 - 43.pdf | 398.61 kB | Adobe PDF | View/Open |
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