Research Article | Open Access
K. Bhagya, E. Subbalakshmi and V. Kalpana Devi
Department of Microbiology, ACS Medical College and Hospital, Dr.M.G.R. Educational and Research Institute, Chennai, Tamil Nadu, India.
J Pure Appl Microbiol. 2021;15(3):1198-1203 | Article Number: 6932 | © The Author(s). 2021
Received: 12/03/2021 | Accepted: 10/06/2021 | Published: 26/06/2021

The outbreak of novel Coronavirus Disease 2019 (COVID-19) has led the entire world to limp. The virus is causing the severe acute respiratory syndrome, with increasing morbidity and mortality. The WHO declared COVID-19 as a pandemic or public health emergency because of its morbidity and mortality. Several inflammatory markers have been used in the initial diagnosis, as well as prognostic markers in disease progression. One of the inflammatory markers is C reactive protein. The other markers that help in prognosis are ferritin, neutrophil-lymphocyte ratio, CT scan of the lung, IL6 (interleukin 6), RT PCR is reliable diagnostic evidence. Aim of the study: 1. The aim is to determine the C-reactive protein, CT (Computerised Tomography) scan of the lung, RT PCR  (Reverse Transcriptase Polymerase Chain reaction) in COVID-19 patients. 2. To compare CRP & CT scan values of the lung in various age groups. A cross-sectional study was done from September 2020 to January 2021 and the results were analysed. Out of 704 COVID positive patients, the maximum number of patients were in the age group between 31 to 70. The RT PCR showed COVID positive results in 689 (97.8%) patients. The CRP values were found to be >25mg/l from 31-50 (34.7%) years and in 51-70 years of age (52%). In comparison of CT scan with CRP changes, CRP values were found to be raised when there is 25-50% (24.5%) and >50% (27.6%) involvement of lung by COVID. CT scan lung involvement was >50% in the age group between 31-50 (38.9%) and 51-70 (50%), respectively.  High CRP values of >25mg/l were observed with the same age group 34.7% with the group of 31-50 and 52% with the group of 51-70, respectively.  CRP correlated with the advancing age group and was found to be a good predictor of disease progression.


C reactive protein, CT lung, RT PCR


The Coronavirus Disease 2019 (COVID-19) was reported first in Wuhan, China, in December 2019. 1 The severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is an enveloped RNA virus that is grouped under SARS (Severe acute respiratory syndrome) virus. The disease started to spread so rapidly that by March 6, 2020, we figured around 80,651 cases and 3070 deaths were noted across the mainland of China.2 Outside China, SARS-CoV-2 started to spread around the world, especially in South Korea, Iran, Italy and India etc.3 In the present scenario we have come across 70,00,000 cases reported as on February 11, 2021. Now, the mutant strain has risen and led to a lockdown in many countries. The World Health Organisation (WHO) gave a clear indication of the risk of spread and the impact of COVID-19 to be extremely high at a global level on February 28, 2020. Several preventive measures were taken across the world with a heavy campaign   to reduce the spread of virus and also to decrease the mortality. This pandemic has paralysed the whole world and continues to be even now.  The symptoms arising   from COVID-19 infection at the initial phase generally include fever, dry cough, and malaise that are non-specific. Unlike human coronavirus infections, upper respiratory symptoms are notably infrequent.  We encounter common laboratory findings on admission to hospital such as lymphopenia and bilateral ground-glass opacity or consolidation in chest CT scans besides positive RT-PCR. We should be able to assess them initially with the laboratory parameter to improve the morbidity.4 In general in the affected patient population,>20% of the people infected with SARS-CoV-2 develop life-threatening complications. The systemic inflammatory response to the SARS-CoV-2 infection is a hallmark of 2019, and most hospitalized patients with COVID-19 have abnormal inflammatory biomarkers.5 Several inflammatory markers help in early pickup of severely affected patients. C-reactive protein (CRP) is an acute-phase protein synthesized by the liver whose level rises in inflammation. CRP levels are usually raised in bacterial infection mainly than in viral infection.  Elevated CRP concentrations were associated with cardiovascular disease, surgical patients with severe infection, autoimmune disorders like rheumatoid arthritis, thromboembolism, and deep vein thrombosis. Elevated CRP levels have been found in viral infections like H1N1 influenza, acute respiratory syndrome like Middle East Respiratory syndrome. CT scan of the lung played an important role in assessing the severity of disease in case RT PCR is negative.4 In our study we assessed the correlation between CRP, lung lesion based on CT scan besides RT PCR to assess the severity and in management and prognosis of the disease.


  1. The aim of this study is to determine the C-reactive protein value, CT scan lung score, RT PCR in COVID-19 patients at a tertiary care teaching hospital.
  2. To compare the CRP value and CT scan involvement of the chest in different age groups.
Materials and Methods

The study was done at a tertiary care teaching hospital from September 2020 to January 2021. Ethical clearance was obtained from the institution.

Study population
The population included in this study were all patients who came with symptoms suggestive of COVID-19 and above the age of 5 years.

Inclusion criteria
All patients who were tested positive for COVID-19 (either RT PCR or Based on CT chest) and also those above the age of 5 years.

Exclusion criteria
All patients who were found to be tested negative for COVID-19 were excluded from the study. Note in our results, ND denotes not detected in that particular test but would have been found to be COVID positive by other tests.

Duration of the study
From September 2020 to January 2021. Study is a cross sectional survey.

Statistical Methods
The statistical analysis was done by Descriptive and inferential statistical analysis. Results on continuous measurements were presented on Mean ± SD (Min-Max) and results on categorical measurements were presented in Number (%). Significance was assessed at 5 % level of significance. The following assumptions on data were made, Assumptions: 1. Dependent variables should be normally distributed, 2. Samples drawn from the population should be random, and Chi-square/ Fisher Exact test was used to find the significance of study parameters on categorical scale between two or more groups, Non-parametric setting for Qualitative data analysis. Fisher Exact test was used when cell samples were exceedingly small6-9.

CRP is a passive agglutination test. The test was done according to the instructions given by the kit insert. (Aspen laboratories, Himachal Pradesh, India). The results observed were qualitative which correspond to 6mg/dl. Semi-quantitative analysis was done by dilution of the serum and the results were expressed by multiplying with the dilution factor and expressed in mg/l. RT-PCR was done by extraction of the RNA virus from the sample of nasal swab and oropharyngeal swab (2 swabs), the amplification of the curve was observed, and the CT value was (threshold cut-off value) expressed as positive or negative. Note: The threshold cut-off value varies with the kit insert. (Meril Diagnostics Pvt Ltd., Andheri East, Mumbai, India) is used in our lab). This is a qualitative assay. In addition, CT scan assessed the changes in the lung and CT scores were given based on the involvement of the lung.  The reporting of chest CT patients suspected to be having COVID-19 were categorised based on CT score. In CT scan, each lobe of the lung is given a CT score ranging from 1 to 5. In the right lung, there are 3 lobes: upper, middle and lower. Left lung has only two lobes, upper and lower. The CT scan scores are given as follows. When there is 5 % involvement the score is —1, 5- 25 % involvement the score is 2, 25 – 50 % involvement the score is — 3, 50-75 % involvement the score is  4, 75 % involvement the score is 5,  showing disease severity.


In our study, we received samples from 704 patients. The samples were received from patients who got tested positive for COVID-19 either by RT-PCR or CT scan of the lung. We received 8 (1.1%) patients below 10 years of age (between 6 to 10), 175 (24.8%) patients in 11 – 30 years of age, 276 (39.2%) patients in 31 – 50 years of age, 213 (30.2%) patients in 51 – 70 years of age, 32 (4.5%) patients in 71- 90 years of age. The highest number of samples were received in the age group from 31 to 70 years. (Table 1). There were 426 (60.5%) male patients and 278 (39.4%) female patients. (Figure 1) The results of RT PCR showed positive results in 689 (97.8%) patients and were not detected in 15 patients (2.2%). (Table 2). The CT scan involvement of the lung took place in the following manner: There was no involvement (not detected) in 423 (60%) patients, <25% of involvement in 154 (21.8%) patients. 25 – 50% involvement in 92 (13.0%), > 50% involvements in 35 (8.3%) patients. (Table 3). This shows that RT-PCR was a more sensitive and reliable parameter in detection of COVID-19. We determined CRP values in various age groups and the results were expressed in mg/l. 8 patients had CRP in the range of <5mg/l and there were no patients with values > 25mg/l in the age group of less than 10 years. In the age group of 11 – 30 years 152 (31.39%) patients had CRP in the range of < 5mg/l and 5 (5.1%) patients had in the range of > 25mg/l. As the age advanced CRP with values > 25mg/l was seen in the age group 31 – 50 years 34 (34.7%), and also in 51 – 70 years 51 (52.7%). We had more patients in the age group from 31 – 70 years. (Table 4). CT scan changes involving lungs were also seen more in the same age groups. CT scan involvement of the lung involving > 50% was seen in the age group between 31 – 50 (38.9%) years and 51 – 70 (50%) years. (Table 5). When we compared CT scan with CRP changes, we found CRP values were found to be increased when there is involvement of the lung from 25 – 50% (24.5%) and >50% (27.6%) respectively. (Table 6).

Table (1):
Age wise distribution of patients in COVID-19 patients.

Age in Years
No. of Patients

Mean ± SD: 43.45+16.29

Table (2):
Reverse Transcriptase Polymerase Chain Reaction (RTPCR) distribution in COVID-19 patients.

No. of Patients (n=704)

Table (3):
Computerised Tomography scan of lung distribution in patients of COVID.

No. Of Patients (n=704)
25 %
50 %
35 %

Table (4):
Correlation of Age distribution with C reactive protein in patients of COVID.

Age in Years CRP Total
ND <5mg/l 5-10mg/l 10-25mg/1 >25mg/l
=10 0
(1. 7%)
11-30 0
(5 .1%)
31-50 0
(40.3 %)
(36. 7%)
(34. 7%)
51-70 1 (100%) 107
(22.5 %)
(46. 7%)
71-90 0
Total 1 (100%) 476
h4ean + SD 39.97+15.88 48.23+15.04 48.50+14.23 53.87+14.05 43.43+16.29

PM.001**, Significant, Student  t Test

Table (5):
Computerised Tomography Scan of lung Changes in different age groups.

Variables CT Scan Total P Value
<25% 25-50% >50%
Age in Years <0.001**
 ≤ 10 8(1.9%) 0(0%) 0(0%) 8(1.1%)
 11-30 142(33.6%) 24(15.6%) 8(8.8%) 1(2.8%) 8(1.1%)
 31-50 149(35.2%) 71(46.1%) 42(46.2%) 14(38.9%) 276(39.2%)
 51-70 105(24.8%) 53(34.4%) 37(40.7%) 18(50%) 213(30.3%)
 71-90 19(4.5%) 6(3.9%) 4(4.4%) 3(8.3%) 32(4.5%)

Table (6):
Comparison of C- Reactive protein and Computerised Tomography of lung changes in COVID-19.

Variables CRP Total P Value
ND <5mg/l 5-10mg/l 10-25mg/l >25mg/l
CT Scan
ND 0(0%) 352(73.9%) 22(22.2%) 11(36.7%) 38(38.8%) 423(60.1%) <0.001**
<25% 0(0%) 104(21.8%) 38(.4%) 3(10%) 9(9.2%) 154(21.9%) <0.001**
25-50% 0(0%) 18(3.8%) 38(38.4%) 11(36.7%) 24(24.5%) 91(12.9%) <0.001**
>50% 1(100%) 2(0.4%) 1(1%) 5(16.7%) 27(27.6%) 36(5.1%) <0.001**

Fig. 1. Gender distribution of COVID-19 patients


Globally it is a fact that large number of patients have been affected with COVID-19 which is rapidly increasing and asymptomatic patients are also the source of infection. (10) Early determination of key indicators were an important basis to guide treatment strategies to prevent morbidity and mortality.11 The most common laboratory findings on admission to hospital include lymphopenia and bilateral ground-glass opacity or patchy changes in chest CT scans. The main pathological changes are damages involving lungs that cripples the patient. It causes damage to the immune complex too. CT dynamic monitoring is done to assess the involvement of the lungs. Most of the time when RT-PCR is negative, the results suggestive of COVID was correlated with the CT scan.12 We can see multiple ground glass appearance involving both the lobes of the lungs when there is >50% damage. If you find a 50% increase in lung X-ray findings within 24 to 48 hours, this was considered an early warning indicator of severity of the disease. CT scan can sometimes predict the prognosis of a patient.13 According to Zhong Nanshan’s latest research, the sensitivity of COVID-19 diagnosis with CT scan alone was 76.4%, and the application of CT scan in COVID-19 was evaluated as useful.14 Studies by Chen Lin et al all suggested the correlation of the CT scan in the diagnosis and evaluation of COVID-19.4 CRP is a type of protein and is found to be raised in response to inflammation. Generally, CRP level is found to be on an increased level in bacterial infections than in viral infections. To our surprise, many COVID-19 patients in this study showed raised CRP levels mostly in the age group between 31 – 70 years, in addition to CT changes involving >50% involvement of the lungs in the same age groups. It is consistent with Wang et al study.15 It is an important index for the diagnosis and assessment of severe pulmonary infectious diseases.16 Moreover, critical cases in this study showed significantly raised levels of CRP than non-critical patients, which suggested that CRP may be a serum marker of disease severity in COVID-19 patients. The logistic regression analysis demonstrated that CRP was indeed related to disease progression. Patients presenting with pneumonia were found to have raised CRP level.17  In Matsumoto’s study we found raised levels of CRP levels in severe pneumonia. His study showed that CRP levels and the area of increased lung lesion increased as the disease progressed.18 which was correlating with our study.


Early intervention is required to prevent mortality among severe COVID-19 patients. Raise in CRP level values could be used as a valuable marker initially to start the treatment early. As the disease progresses, CRP can be used as a prognostic marker to assess the severity which is correlating with our study. This was observed from the CT score involvement of the lung. However, a large sample size is required to confirm these results. We need to focus to assess the patient initially based on clinical findings and carry out relevant investigations to prevent morbidity and mortality.


I would like to acknowledge my guides, Dr. V. Kalpana Devi and Dr. E. Subbalakshmi for providing inputs of their knowledge in the study. Besides, I would like to thank Dr.Kartick Kalaichelvan, Dr.Rajasekaran and Dr.R.Malathi  who were supportive in this project. I would like to thank the statistician Dr. K. P. Suresh for the data analysis and Miss Shivani Ramakrishnan for correcting the grammatical errors.

The authors declare that there is no conflict of interest.

All authors listed have made a substantial, direct and intellectual contribution to the work, and approved it for publication.


The study was approved by the Institutional Ethics Committee, A.C.S. Medical College Hospital, Chennai, India (No.98/2020/1EC/ACSMCH Dt. 16.12.2020).

The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.

  1. Lu Hongzhou, CW Statton, YW Tang. Outbreak of pneumonia of unknown etiology in Wuhan, China: The mystery and the miracle. J Med Virol. 2020;92(4):401- 402.
  2. Hui DS, Azhar EI, Madani TA, et al. The continuing 2019-nCoV epidemic threat of novel coronaviruses to global health – the latest 2019 novel coronavirus outbreak in Wuhan, China. Int J Infect Dis. 2020;91:264-266.
  3. Yoon SH, Lee KH, Kim JY, et al. Chest radiographic and CT findings of the 2019 novel coronavirus disease (COVID-19): analysis of nine patients treated in Korea. Korean J Radiol. 2020;21(4):494-500.
  4. Lin C, Ding Y, Xie B, et al. Asymptomatic novel coronavirus pneumonia patient outside Wuhan: the value of CT images in the course of the disease. Clin Imaging. 2020;63:7-9.
  5. Petrilli CM, Jones SA, Yang J, et al. Factors associated with hospital admission and critical illness among 5279 people with coronavirus disease 2019 in New York City: prospective cohort study. BMJ. 2020;369:m1966.
  6. Rosner B. Fundamentals of Biostatistics, 5th Ed, Duxbury; 2000:80-240.
  7. Riffenburg RH, Statistics in Medicine , 2nd Ed, Academic press; 2005:85-125.
  8. Rao PSSS, Richard J. An Introduction to Biostatistics, A manual for students in health sciences , New Delhi: Prentice hall of India. 2006;4th Ed: 86-160.
  9. Suresh KP, Chandrasekhar S. Sample Size estimation and Power analysis for Clinical research studies. J Hum Reprod Sci. 2012;5(1):7-13.
  10. Machase E. China coronavirus: mild but infectious cases may make it hard to control outbreak, Report warms. BMJ. 2020:368:m325.
  11. Li G, De Clercq E. Therapeutic options for the 2019 novel coronavirus (2019-nCoV). Nat Rev Drug Discov. 2020;19(3):149-150.
  12. Sekar P, Menezes GA, Shivappa P, George BT, Hossain A. Considerations in Real-time Reverse Transcription Polymerase Chain Reaction (RT-PCR) for the Detection of SARS-CoV-2 from Nasopharyngeal Swabs. J of Pharm Res Int. 2021;33(17):68-78.
  13. Lee KS. Pneumonia associated with 2019 novel coronavirus: can computed tomographic findings help predict the prognosis of the disease? Korean J Radiol. 2020;21(3):257-258.
  14. Wang L. C-reactive protein in the early stages of COVID-19. Med Mal Infect. 2020;50(4):332-334.
  15. Wang G, Wu C, Zhang Q, et al. C-Reactive Protein Level May Predict the Risk of COVID-19 Aggravation. Open Forum Infect Dis. 2020;7(5):ofaa153.
  16. Chalmers S, Khawaja A, Wieruszewski PM, et al. Diagnosis and treatment of acute pulmonary inflammation in critically ill patients: the role of inflammatory biomarkers. World J Crit Care Med. 2019;8(5):59-71.
  17. Warusevitane A, Karunatilake D, Sim J, Smith C, Roffe C. Early diagnosis of pneumonia in severe stroke: clinical features and the diagnostic role of C-reactive protein. PloS One. 2016;11(3):e0150269.
  18. Matsumoto H, Kasai T, Sato A, et al. Association between C-reactive protein levels at hospital admission and long-term mortality in patients with acute decompensated heart failure. Heart Vessels. 2019;34(12):1961-1968.

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