Volume 16, Issue 6 (Special issue (Nov-Dec) 2022)                   mljgoums 2022, 16(6): 20-25 | Back to browse issues page


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Yaseri M, Mortazavi Khatibani S S, Naeimi A, Fayazi H S. Association between C-Reactive Protein Test Result and Clinical Characteristics in Patients with COVID-19. mljgoums 2022; 16 (6) :20-25
URL: http://mlj.goums.ac.ir/article-1-1560-en.html
1- Department of Internal Medicine, School of Medicine, Razi Hospital, Guilan University of Medical Sciences, Rasht, Iran
2- Student Research Committee, School of Medicine, Guilan University of Medical Sciences, Rasht, Iran
3- Department of Internal Medicine, School of Medicine, Razi Hospital, Guilan University of Medical Sciences, Rasht, Iran , fayazihaniyehsadat@gmail.com
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INTRODUCTION
The coronavirus disease 2019 (COVID-19) has resulted in a global catastrophe. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the causative agent of the disease, which can target both the respiratory tract and the kidneys (1). The identification of effective laboratory biomarkers and diagnostic parameters can help determine the severity and prognosis of COVID-19 in the affected patients. Among laboratory factors, C-reactive protein (CRP) is an acute-phase protein that increases rapidly during infection. A higher level of CRP was observed in COVID-19 patients with severe illness (2). Nonetheless, for the assessment of host inflammatory status and identification of viral infection in other pathologies, acute-phase proteins, such as CRP can provide more vital data for managing clinical diagnosis and therapy (3–5).
Several conditions could elevate CRP, including acute and chronic reactions, which can be infectious or non-infectious etiologies (2). Elevated CRP is not common in most viral infections, but a study of 1,099 COVID-19 patients conducted in China showed that 60.7% of subjects had CRP levels above 10 mg/L (6). A study of 1,834 COVID-19 patients in Italy and the United Kingdom also found a mortality rate of 15% for patients with CRP levels below 40.0 mg/L compared with 31.9% for patients with CRP levels above 40.0 mg/L (7). The use of CRP as a biomarker in COVID-19 may present a quick and accessible tool for clinical management, especially in patients with underlying diseases. Pre-existing comorbidities such as cardiovascular disease, diabetes, and hypertension have been reported to be associated with the severity of COVID-19 and serious complications including stroke, septic complications, and even death (2,3,8,9). Higher CRP levels could be a valuable indicator of COVID-19 severity (5), which could also help the timely initiation of treatment. In this regard, we performed a study to investigate the association between CRP and the clinical characteristics of patients with COVID-19.

MATERIALS AND METHODS
This cross-sectional study was performed on 399 COVID-19 patients aged 21-93 years who were referred to the Razi Educational and Medical Center in Rasht (Iran) from March 2020 to September 2020. Data were collected through a census method. According to the result of the CRP test, patients were divided into two groups: patients with positive CRP results (n=335) and negative CRP results (n=64). COVID-19 was confirmed by a positive real-time polymerase chain reaction (RT-PCR). Patients without complete information were excluded from the study. All study protocols were performed in accordance with the relevant guidelines and regulations. The Ethics Committee of Guilan University of Medical Sciences approved this research project (IR.GUMS.REC.1399.377), and informed consent was obtained from all subjects and/or their legal guardian(s). Demographical data and clinical characteristics including gender, duration of hospitalization, duration of stay in the intensive care unit (ICU), intubation, and laboratory factors including CRP, blood sugar (BS), blood urea nitrogen (BUN), creatinine (Cr), aspartate aminotransferase (AST), alanine aminotransferase (ALT), erythrocyte sedimentation rate (ESR), white blood cell (WBC) count, polymorph nuclear leukocytes (PMNs) count, lymphocyte count, prothrombin time (PT), partial thromboplastin time (PTT), and arterial blood gas (ABG) analysis were recorded. Clinical symptoms, presence of underlying diseases, outcomes, and mortality rate were also recorded.
The biochemical parameters were analyzed using an auto-analyzer (Mindray BS-800, UK; ParsAzmoon, Iran & Biorexfars, Iran). Hematological parameters were evaluated using a hematology analyzer (Sysmex KX-21N, Japan & Caretium XC-A30, China). Moreover, blood gas was analyzed (ABL9 blood gas analyzer, USA), and coagulation test was performed using a coagulometer (Sysmex CA 620, Japan; Baharafshan, Iran). A CRP level of ≥6 mg/L and <6 mg/L was identified as positive and negative, respectively (Biorexfars BXC0382, Iran)
Categorical variables were described as frequency and percentage. The frequency of underlying diseases in CRP-positive and -negative groups were evaluated using the Mann–Whitney U test and Fisher's exact test. In addition, the chi-square and Mann–Whitney U test were applied to determine the frequency of patient outcomes among the two study groups. Statistical analysis was performed using the IBM SPSS software (version 21) with a significant level of 0.05.
RESULTS
The mean age of the patients was 60.89±15.91 years. Of 399 COVID-19 patients, 245 (61.4%) were male and 154 (38.6%) were female.  A total of 335 (84%) patients had positive CRP results and 64 patients (16%) had negative CRP results. The most frequent underlying diseases were hypertension, diabetes, cardiovascular diseases, and hyperlipidemia. Moreover, dyspnea (60.4%), fever (52.7%), fatigue (45.4%), dry cough (40.1%), chills (36.3%), and myalgia (23.6%) were the most common clinical symptoms among the patients. The mean duration of hospitalization, ICU stay, and intubation was 8.14±6.18, 9.09±9.41, and 6.63±9.13 days, respectively. The mean mortality rate was 24.8% (Table 1).
Table 1- The frequency of clinical characteristics among patients with COVID-19
Variables Number Percentage
Anosmia 11 2.8%
Ageusia 4 1.0%
Hemoptysis 2 0.5%
Heart disease 99 24.8%
Diabetic Mellitus 131 32.8%
Hypertension 160 40.1%
Hyperlipidemia 73 18.3%
Cerebrovascular accident 20 5.0%
Chronic obstructive pulmonary disease 7 1.8%
Chronic kidney disease 15 3.8%
End-stage renal disease 11 2.8%
Asthma 17 4.3%
Cancer 17 4.3%
Cortone consumption 6 1.5%
Immunosuppressive therapy 5 1.3%
Dyspnea 241 60.4%
Fever 208 52.7%
Chills 145 36.3%
Dry cough 160 40.1%
Myalgia 94 23.6%
Productive cough 61 15.3%
Sore throat 6 1.5%
Fatigue 181 45.4%
Headache 27 6.8%
Nausea 84 21.1%
Vomit 70 17.5%
Diarrhea 48 12.0%
Loss of appetite 104 26.1%
Abdominal pain 31 7.8%
Mental status changes 40 10.0%
Dizziness 2 0.5%
Chest pain 84 21.1%
Death outcome 99 24.8%
ICU admission 55 13.8%
Need for intubation 63 15.8%
Variables Mean ± standard deviation
BS 164.13±91.12
BUN 24.45±17.71
Cr 1.55±1.44
AST 56.74±101.03
ALT 48.41±118.94
ALP 287.29±631.15
ESR 53.45±27.49
WBC 8.45±5.20
PMN 74.87±18.11
Lymphocyte 18.54±11.86
Artery blood gas pH 7.55±3.89
PaCO2 45.35±12.89
PaO2 61.73±46.06
HCO3 24.17±7.78
O2 saturation 71.24±22.60
PT 12.91±2.09
INR 1.15±0.52
PTT 33.56±8.38
CRP 80.57±74.86
Variables CRP-negative
N (%)
CRP-positive
N (%)
P-value
Anosmia 2 (3.1%) 9 (2.7%) 0.692**
Ageusia 0 (0.0%) 4 (1.2%) >0.999**
Hemoptysis 0 (0.0%) 2 (0.6%) >0.999**
Heart disease 17 (26.6%) 82 (24.5%) 0.723*
Diabetic Mellitus 19 (29.7%) 112 (33.4%) 0.559*
Hypertension 18 (28.1%) 142 (42.4%) 0.033*
Hyperlipidemia 13 (20.3%) 60 (17.9%) 0.649*
Cerebrovascular accident 4 (6.3%) 16 (4.8%) 0.542**
Chronic obstructive pulmonary disease 2 (3.1%) 5 (1.5%) 0.312**
Chronic kidney disease 1 (1.6%) 14 (4.2%) 0.483**
End-stage renal disease 2 (3.1%) 9 (2.7%) 0.692**
Asthma 2 (3.1%) 15 (4.5%) >0.999**
Cancer 4 (6.3%) 13 (3.9%) 0.495**
Croton consumption 2 (3.1%) 4 (1.2%) 0.248**
Immunosuppressive therapy 3 (4.7%) 2 (0.6%) 0.031**
Death 16 (25.0%) 83 (24.8%) 0.970*
ICU admission 8 (12.5%) 47 (14.0%) 0.745*
Need for intubation 12 (18.8%) 51 (15.2%) 0.478*
Hospitalized duration 7.28±5.52 8.30±6.29 0.049**
Duration of stay in ICU 8.25±4.03 9.23±10.07 0.606**
Duration of intubation 7.25±7.35 6.49±9.56 0.783**

BS: blood sugar; BUN: blood urea nitrogen; Cr: creatinine; AST: aspartate amino transferase; ALT: alanine amino transferase; ESR: erythrocyte sedimentation rate; WBC: white blood cell; PMN: polymorph nuclear leukocytes; PT: prothrombin time; PTT: partial thromboplastin time
Hospitalization duration, hypertension, and immunosuppressive therapy were significantly associated with CRP positivity in patients with COVID-19. There was no significant association between CRP level and mortality, ICU admission, and the need for intubation (Table 3).
DISCUSSION

In the present study, the association of clinical characteristics of hospitalized patients with COVID-19 and CRP level was studied. It is well-established that CRP levels increase during inflammatory events (10). This protein can activate the complement system and increase phagocytosis by binding to microorganisms (11,12). Serum CRP levels increase during inflammatory responses (13). Liu et al. found that severe COVID-19 patients expressed significantly higher CRP levels than their non-severe counterparts (14). A meta-analysis by Sahu et al. indicated that CRP levels remained high in expired patients, indicating the potential of CRP as an important biomarker for mortality (15). As reported in previous studies, elevated CRP levels can be an early marker of COVID-19 severity. Systemic inflammation is strongly associated with critical illness in COVID-19 patients (16,17). Previous studies have also shown that CRP is associated with extra-pulmonary disease in COVID-19, and there is a correlation between CRP level and myocardial injury in multiple series (18,19).
Our results indicated that cardiovascular complications and diabetes were the most comorbidities in both CRP-positive and -negative CRP COVID-19 patients. In line with our results, cardiovascular complications and hypertension were frequently reported in patients with COVID-19 (20–22). The present study showed that dyspnea, fever, fatigue, dry cough, and chills were the most common clinical symptoms among patients with COVID-19. Similar to our findings, the results of a meta-analysis study showed that fever in 81.2% of cases, cough in 58.5% of cases, and fatigue in 38.5% of cases were the most frequent symptoms among SARS-CoV-2 infected patients (23). In some studies, fever was reported as the most common symptom in patients with COVID-19, but not all patients had fever (24,25). These symptoms usually were accompanied by elevated CRP levels at the early stages.
In our study, no significant association was found between CRP and death in COVID-19 patients. However, CRP-positive patients had a longer hospital stay. A study by Lentner et al. illustrated a positive correlation between the CRP levels of patients with COVID-19 and death as well as the longer duration of hospitalization (26). In addition to CRP, among laboratory parameters, ESR is another inflammatory indicator that becomes elevated in patients with COVID-19, which could also be used as a predictor of disease severity. As reported in some studies, it has been suggested that the levels of interleukin-6, tumor necrosis factor-α, ESR, and CRP could be used for predicting the severity of COVID-19 (27,28). In the present study, the frequency of ICU administration was only 13.8%. This may be related to the limited ICU capacity of the hospital that pushed clinicians to admit patients requiring ICU admission into other wards.
 CONCLUSION
Our findings indicate that CRP positivity is associated with longer hospitalization in patients with COVID-19. Moreover, hypertension, diabetes, and heart disease are the most common comorbidities in CRP-positive patients. It can be concluded that the main symptoms of COVID-19 can play a vital role in the early diagnosis and prevention of disease transmission.
ACKNOWLEDGMENTS
We would like to thank all hospital staff and specialists for their cooperation.
DECLARATIONS
Funding
The authors received no financial support for the research, authorship, and/or publication of this article.
Ethics approvals and consent to participate
The Ethics Committee of Guilan University of Medical Sciences approved this research project (ethical approval code: IR.GUMS.REC.1399.377), and informed consent was obtained from all subjects and/or their legal guardian(s).
CONFLICT OF INTEREST
The authors declare that there is no conflict of interest regarding the publication of this article.


 
Research Article: Research Article | Subject: Laboratory Sciences
Received: 2022/08/9 | Accepted: 2022/12/14 | Published: 2022/11/25 | ePublished: 2022/11/25

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