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Research Article | Volume 5 Issue 1 (Jan-June, 2024) | Pages 1 - 3
Analysis of Laboratory Data of Rt-Pcr Testing for Sars-Cov-2 in Svrdl at Government Medical College, Nagpur
 ,
 ,
1
Microbiology, Government Medical College and Hospital, Ajni Medical College Road, Nagpur, Maharashtra, India
2
Assistant Professor, Department of Microbiology, Government Medical College and Hospital, Ajni Medical College Road, Nagpur, Maharashtra, India
3
Professor and Head, Department of Microbiology, Government Medical College and Hospital, Ajni Medical College Road, Nagpur, Maharashtra, India
Under a Creative Commons license
Open Access
Received
March 16, 2024
Revised
April 18, 2024
Accepted
May 22, 2024
Published
June 30, 2024
Abstract

Background: The COVID-19 pandemic caused by SARS-CoV-2 has significantly impacted global health systems, prompting widespread diagnostic testing efforts to curb transmission and guide clinical management. Methods: This study analyses laboratory data from RT-PCR testing conducted at the SARS Virus Research and Diagnostic Laboratory (SVRDL) in Government Medical College, Nagpur. A total of 106,178 samples were processed using various RT-PCR kits, including COVIDsure, with results categorized by cycle threshold (CT) values for RdRP, N, and E genes. Results: Among the samples tested, 13,578 were positive for COVID-19. Demographic analysis revealed higher infection rates among males (53.12%) and older age groups, notably 51-60 years. Asymptomatic cases constituted a significant majority (72.11%) of positives, highlighting their potential role in community transmission. Fever emerged as the predominant symptom among symptomatic patients. Conclusion: The findings underscore the importance of targeted testing strategies, especially among high-risk groups such as older adults, and effective public health interventions to mitigate COVID-19 transmission. Understanding the demographic and clinical characteristics of COVID-19 patients is crucial for shaping future pandemic responses and resource allocation.

Keywords
INTRODUCTION

A new strain of Coronavirus (Enveloped positive-strand RNA viruses) named severe acute respiratory syndrome coronavirus 2 (SARS-COV-2) by International Committee on Taxonomy of Viruses (ICTV) [1].

        

It has overwhelmed the world with its rapid spread and high number of cases.

 

COVID -19  has been reported  from all aged patients. 

 

Severity can vary from asymptomatic infection to critical diseases, across different regions and gender [2].

 

The aggressive testing, containment strategy (isolation of cases and quarantine of contacts), clinical care of symptomatic and COVID safe behaviour are the hallmark of pandemic control [3]. 

 

In order to strengthen our fight against this pandemic, India has scaled up its laboratory infrastructure rapidly [4]. 

 

Diagnostic laboratories has important role in early detection of the disease and preventing it from spreading.

 

Aim

This study aims to describe demographic characteristic (based on symptoms,  age, gender and region) of COVID-19 patients in Central India.

 

Objective

To analyse the laboratory data of RTPCR testing for sars-cov-2 in SVRDL at Govt. Medical college, Nagpur.

MATERIALS AND METHODS
  • Nasopharyngeal swabs of the patients were collected  in a VTM tube with all biosafety precautions [5]

  • Packed in a triple container packing

  • Transported under a cold chain to SVRDL

  • VTM  containing samples were received maintaining cold chain [6].

  • Personal protective equipment (PPE kits) were used [7]

  • VTM tube ids were checked with the details in the filled sample collection forms

  • VTM tubes were checked for leaks, for the color of media, label, patient id and stored according to ICMR guidelines till testing

  • TESTING-Total 106178 samples were analyzed by RT-PCR

  • Different RT-PCR kits like COVIDsure, were used

  • Results analyzed according to respective  Cycle threshold (CT) value

  • Multiple RT-PCR assay for the RdRP (RNA –dependent rna polymerase) , N((nucleocapsid) and E(envelope) genes were verified

RESULTS

COVID 19 infection rates are low among children and adolescent (9.49%). It sharply increases after 20 years and maximum affected age group is found to be 51-60 years (32.25%) (Figure1)

 

Infectivity was more among males 8733(53.12%) than females 7707(46.88%) (Figure 2)

 

 

Figure 1: Age-wise Percentage Distribution of Study Participants

 

 

Figure 2: Gender-wise Percentage Distribution of Study Participants

                

Among COVID 19 positives asymptomatic (72.11%) out number symptomatic cases (27.89%) fever (73.69%) was the most common, followed by dry cough (31.63), dyspnea (29%), sore throat (21.17%) and nasal symptoms (21%).

DISCUSSION

Considerable political and medical emphasis has been placed on rapid access to testing both to identify infected individuals so as to direct appropriate therapy, and to implement containment measures to limit the spread of diseases [8-9]. In present study out of 106178 samples 13578 tested positive for COVID 19. Difference in RT-PCR positivity can be attributed to lab capacity for testing, health seeking behaviors and testing strategies’ in terms of who gets tested.

 

In present study males (53.12%) were more affected than females similar to Li Q et al. [10-11] 2020 (56%) from China. Older age (51-60) showed more positivity as compared to children and adolescent in present study. It has been observed that male gender and older age are risk factors for higher severity and mortality in patients with COVID 19.                              

 

Significant proportion of our patients were asymptomatic [11]. This is a cause of measure concern as asymptomatic patients are potential carriers and source of diseases to the community[12]Most symptomatic patients experienced fever as predominant symptom followed by dry cough, dyspnea, sore throat and nasal symptoms. Thus, fever is an alarming sign, early clue to infection and usually, associated with more severe illness and increase hospital stay.

CONCLUSION
  • COVID 19 mortality increases sharply at older ages, with very few deaths occuring before 50. Therefore, age and sex specific pattern of Infections are key for understanding and explaining differences in COVID 19 transmission and fatality

  • Fever is an alarming sign of diseases and is usually associated with more severe illness and increase hospital stay

  • Our findings are based on analysis of laboratory data of RT-PCR testing. We identify high prevalence of infection in age group between 51-60 years

  • Our analysis reveals that males were more often affected than females. positivity in asymptomatic  patient was more as compared to symptomatic. Among symptomatic patients’ fever was found to be the most common symptom. Surveillances, Contact tracing and quarantine centers are critical components of an effective public health response to COVID-19 as number of asymptomatic positives were found to be more than symptomatic ones

REFERENCE
  1. Gorbalenya A et al. "The species severe acute respiratory syndrome-related coronavirus: classifying 2019-nCoV and naming it SARS-CoV-2." Nature Microbiology, vol. 5, no. 4, 2020, pp. 536–544.

  2. Lai C.C. et al. "Asymptomatic carrier state, acute respiratory disease and pneumonia due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2): facts and myths." Journal of Microbiology, Immunology and Infection, vol. 53, no. 3, 2020, pp. 404–412.

  3. La Croix S and Brown T. "How to control Hawaii’s coronavirus epidemic and bring back the economy: the next steps." Economic Research Organization at the University of Hawai‘i, 2020.

  4. Abraham P et al. "Laboratory surveillance for SARS-CoV-2 in India: performance of testing and descriptive epidemiology of detected COVID-19, January 22–April 30, 2020." Indian Journal of Medical Research, vol. 151, no. 5, 2020, pp. 424–437.

  5. Kumar K.R. et al. "An update on advances in COVID-19 laboratory diagnosis and testing guidelines in India." Frontiers in Public Health, vol. 9, 2021, p. 568603.

  6. Chatterjee P et al. "Healthcare workers and SARS-CoV-2 infection in India: a case-control investigation in the time of COVID-19." Indian Journal of Medical Research, vol. 151, no. 5, 2020, p. 459.

  7. Karthik K et al. "Biosafety concerns during the collection, transportation and processing of COVID-19 samples for diagnosis." Archives of Medical Research, vol. 51, no. 7, 2020, pp. 623–630.

  8. Juth N et al. "Who should be tested in a pandemic? Ethical considerations." BMC Medical Ethics, vol. 22, no. 1, 2021.

  9. World Health Organization. "COVID-19 strategy update." WHO Report, 2020.

  10. Yang X et al. "Clinical course and outcomes of critically ill patients with SARS-CoV-2 pneumonia in Wuhan, China: a single-centered, retrospective, observational study." The Lancet Respiratory Medicine, vol. 8, no. 5, 2020, pp. 475–481.

  11. Guan W.J. et al. "Clinical characteristics of coronavirus disease 2019 in China." New England Journal of Medicine, vol. 382, 2020, pp. 1708–1720. https://doi.org/10.1056/NEJMoa2002032

  12. Mohan A et al. "Clinico-demographic profile and hospital outcomes of COVID-19 patients admitted at a tertiary care centre in north India." Indian Journal of Medical Research, vol. 152, no. 1, 2020, p. 61.

License
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Analysis of Laboratory Data of Rt-Pcr Testing for Sars-Cov-2 in Svrdl at Government Medical College, Nagpur © 2026 by Neha Sharma, Priyanka Kalbhor, Sunanda Shrikhande licensed under CC BY-NC-ND 4.0
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