Maryam Yaseri, Seyyedeh Sahereh Mortazavi Khatibani, Arvin Naeimi, Haniyeh Sadat Fayazi,
Volume 16, Issue 6 (Special issue (Nov-Dec) 2022)
Abstract
Background and objectives: In coronavirus disease 2019 (COVID-19), elevated serum levels of C-reactive protein (CRP), a marker of systemic inflammation, are commonly observed. We aimed to investigate the associations between CRP test results and clinical characteristics in patients with COVID-19.
Method: In this cross-sectional study, data from 399 patients with COVID-19 were collected through a census method. The patients were divided into a CRP-positive group (n=335) and a CRP-negative group (n=64). Demographical data, laboratory findings, clinical characteristics, and history of some underlying diseases were compared between the two groups. All analyses were carried out in SPSS (version 21).
Results: The frequency of hypertension was 40.1% among the study population, 42.4 % among CRP-positive patients, and 28.1% among CRP-negative patients. Diabetes and heart disease were the most common comorbidities among the patients. Dyspnea (60.4%), fever (52.7%), fatigue (45.4%), and dry cough (40.1%) were the most commonly observed symptoms. The mean duration of hospitalization was 8.14±6.18 days, and the mean duration of intensive care unit stay was 9.09±9.41 days. Moreover, CRP positivity was significantly associated with hypertension, immunosuppressive therapy, and higher duration of hospitalization (p<0.05).
Conclusion: Pre-existing hypertension, diabetes, and heart disease with the coincidence of some clinical symptoms are associated with higher levels of CRP in COVID-19 patients, which results in longer hospitalization.
Mohammad Fayaz, Vahid Tajari, Mohammad Hosein Taziki Balajelini, Abdolhalim Rajabi, Seyed Mehran Hosseini,
Volume 18, Issue 1 (Jan-Feb 2024)
Abstract
Background: The outcome of hospitalized COVID-19 patients is predictable according to demographic, clinical, laboratory, and imaging risk factors. We aimed to determine the best outcome predictors and their trends during 30 days of hospitalization.
Methods: This retrospective study was conducted on moderate to severe hospitalized COVID-19 patients from 26 January 2020 to 13 January 2021. The length of stay in the hospital was considered as the time interval between admission and discharge, and the patient's final condition was defined as either dead or alive. Demographic, clinical, and laboratory data were collected from the hospital information system. The generalized additive model and the Cox regression model were used to model data.
Results: Of the 1520 hospitalized COVID-19 patients, 232 (15.26%) died and 1288 survived or reached the end of 30 days of hospitalization. We selected demographic, clinical, and 131 independent laboratory variables. Blood urea nitrogen (BUN) had a nearly double average in the dead group (44.603 [± 25.408] mg/dL) than the survived group (21.304 [± 13.318] mg/dL), and the lymphocyte (Lymph) count showed the opposite trend. The estimated hazard ratio (HR) of these 2 factors was higher than 1 and was statistically significant. In daily stay trends, the hazard function of them also increased rapidly after 15 days.
Conclusion: Blood urea nitrogen and complete blood count provide strong predictive clues about the prognosis of hospitalized COVID-19 patients, and rapid dynamic changes in the second week can predict a poor outcome in these patients.
