CLINICAL CHARACTERISTICS AND OUTCOMES OF HOSPITALIZED PATIENTS WITH CORONAVIRUS DISEASE 2019: A SINGLE-CENTER, RETROSPECTIVE STUDY FROM PALESTINE
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Date
2022-08-04
Authors
Muhamad Mamoon Amer
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Abstract
Abstract
Background: This study reports routine laboratory analysis related to coronavirus disease 2019 (COVID-19) severity evaluated at admission and follows up the lab result until the disease outcome either discharge or death. This study combines test results with data on the severity of the disease. It can provide differences between patients with mild, moderate, and severe COVID-19 observed in a particular laboratory analysis. Therefore, this study contributes to a better understanding of the use of laboratory analysis in the evaluation of COVID-19 patients.
Methodology: A cross-sectional retrospective study using medical records at An-Najah National University Hospital to abstract data about patients diagnosed with COVID-19 in Palestine. The IBM Statistical Package for Social Sciences was used to conduct the statistical analysis (SPSS version 21).
Results: The study included 106 patients with COVID-19, most of the patients were males (70.8%, n=75) and females (29.2%, n=31) with a ratio of 2.4:1. There were 18 patients who died during the follow-up of this study. Most of the symptoms were resolved at the time of discharge. The vast majority of the patients suffered from tiredness (91.51%) at the time of admission, while this symptom has reduced to (51.14%) at the time of discharge. Females had the highest percentage of severe COVID-19 among all participants (53.77%). In terms of age, geriatric females (30 patients) had severe COVID-19; this age group had the highest severity, which was not statistically significant (p=0.09). The current study analyzed the patients with COVID-19 based on disease severity and lab results, only neutrophils, lymphocytes, Lactate dehydrogenase, and c-reactive protien had statistically significant differences between severity of COVID-19 (p<0.05). D-dimer had very high levels with a mean of 2.96 in severe cases compared to a mean of 0.67±0.5 in mild cases.
Conclusions: Latest research indicates, individuals with a severe COVID-19 illness history have a unique laboratory pattern upon admission that can be used for triaging and treatment decisions. Patients with a severe COVID-19 illness history are expected to exhibit a different pattern in terms of the results of regular laboratory testing, based on the current data. Instead of employing a single special biomarker, a systematic approach utilising multiple relevant regular tests is preferable. There is a need for more investigation into the use of laboratory testing as predictive indicators of COVID-19 disease severity and outcome.
Keywords: Corona; COVID-19; Lab Results; Outcomes; Palestine.