Clinical characteristics of COVID-19 patients in Latvia under low incidence in Spring 2020
Viksna, L.; Kolesova, O.; Kolesovs, A.; Vanaga, I.; Arutjunana, S.; Laivacuma, S.; Storozenko, J.; Tolmane, I.; Berzina, I.; Rozentale, B.
Show abstract
BackgroundCOVID-19 is a new infectious disease with severe disease course and high mortality in some groups. Blood tests on admission to the hospital can be useful for stratification of patients and timely correction. Our study investigated the clinical features of COVID-19 patients in Latvia and differences in blood tests in groups with different disease severity. MethodsThe retrospective study included 100 patients hospitalized in Riga East Clinical University Hospital in Spring 2020. The severity of the disease course was classified by the presence of pneumonia and its combination with respiratory failure. We have assessed blood cells count, hemoglobin, hematocrit, erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), alanine aminotransferase, lactate dehydrogenase (LDH), troponin T, electrolytes, creatinine, glomerular filtration rate (GFR), D-dimer, prothrombin time, prothrombin index, oxygen saturation, and temperature on admission to the hospital. ResultsPatients were from 18 to 99 (57{+/-}18 years, 57% males). Comorbidities were found in 74% of patients. The mild, moderate, and severe groups included 35, 44, and 16 patients, respectively. In the severe group, the mortality rate was 50%. The progression to severe COVID-19 was associated positively with temperature, ESR, CRP, creatinine, LDH, and troponin T and negatively associated with oxygen saturation, eosinophils, and GFR on admission to the hospital. ConclusionsCOVID-19 severity associates with lower renal function and a higher level of inflammation and tissue damage. Eosinophils, CRP, ESR, LDH, troponin T, creatinine, and GFR are blood indicators for monitoring patients condition.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Laboratory Biomarkers of COVID-19 Disease Severity and Outcome: Findings from a Developing Country 98%
- Epidemiological, clinical, and laboratory findings for patients of different age groups with confirmed coronavirus disease 2019 (COVID-19) in a hospital in Saudi Arabia 98%
- Characteristics and outcome profile of Hospitalized African COVID-19 patients: The Ethiopian Context 98%
Similar papers in this journal
- Determinants of Developing Symptomatic Disease in Ethiopian COVID-19 Patients 98%
- Evaluation of the disease outcome in Covid-19 infected patients by disease symptoms: a retrospective cross-sectional study in Ilam Province, Iran 97%
- Anti-Hepatitis C Antibody Carriage and Risk of Liver Impairment in Rural-Cameroon: Adapting the Control of Hepatocellular Carcinoma for Resource-Limited Settings 94%
Similar papers in this journal
- Standard blood laboratory results in SARS-CoV-19 positive patients: do they show a typical pattern? 96%
- Climate influences scrub typhus occurrence in Vellore, Tamil Nadu, India: Analysis of a 15 year dataset 96%
- COMPARISON OF sPLA2-IIA PERFORMANCE WITH HIGH-SENSITIVE CRP, NEUTROPHIL PERCENTAGE, PCT AND LACTATE TO IDENTIFY BACTERIAL INFECTION: A PROSPECTIVE STUDY 95%
Similar papers in this journal
- Is the infection of the SARS-CoV-2 Delta variant associated with the outcomes of COVID-19 patients? 97%
- Comparing COVID-19 and influenza presentation and trajectory 96%
- Clinical findings in critical ill patients infected with SARS-Cov-2 in Guangdong Province, China: a multi-center, retrospective, observational study 95%
Similar papers in this journal
- Relative expression of pro-inflammatory molecules in COVID-19 patients manifested disease severities 98%
- Probable causes and risk factors for positive SARS-CoV-2 test in recovered patients: Evidence from Brunei Darussalam 96%
- Risk factors for bacterial infections in patients with moderate to severe COVID-19: A case control study 96%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.