Print ISSN:-2249-8176

Online ISSN:-2348-7682

CODEN : PJMSD7

Current Issue

Year 2024

Volume: 14 , Issue: 2

  • Article highlights
  • Article tables
  • Article images

Article Access statistics

Viewed: 409

Emailed: 0

PDF Downloaded: 2091


Farhana, Rishi, and Dewani: Clinico-demographic analysis of symptomatic versus asymptomatic COVID -19 Patients: A one year retrospective study from a tertiary care center in Kashmir, India


Introduction

On December 31, 2019 a cluster of pneumonia cases was seen in Wuhan, China and was reported to WHO, by the Wuhan Municipal Health Commission.1 This pneumonia was caused by unknown agent identified later as a new type of Coronavirus now known as Severe Acute Respiratory Syndrome Coronavirus-2(SARS-CoV-2). 2 World Health Organization declared it as a global pandemic On March, 2020 over 173 million cases of COVID-19 have been reported globally with over 3.7 million deaths. 3 The first positive case of COVID-19 was reported from Kashmir region on 18th March, a 65 year old lady from Srinagar who had a travel history from Saudi Arabia. Coronaviruses have been associated with outbreaks earlier as well, in Asia and in Middle East over the past decades. Severe Acute Respiratory Syndrome emerged in the winter of 2002 in southern China. Middle East Respiratory Syndrome began to emerge in 2012 from Saudi Arabia. In 2019, SARS CoV-2 emerged and became a worldwide, emergency and pandemic.4 With the overall fatality rate of around 2%, the mortality of COVID-19 far less than SARS, or MERS. 5 Human to human transmission is higher and the main route of transmission being aerosol mode of transmission. Faeco-oral, blood borne, mother to child and animal to human transmissions have also been reported.6 Within three days, the viral RNA can be detected by RT PCR in the affected patient and RT PCR remains positive for one to two weeks for asymptomatic persons and up to three weeks or more for patients with mild to moderate disease.7 While as in some patients with severe disease it can be much longer. The course of Coronavirus disease is usually divided into three phases. The first with cough, fever, wheezing fatigue, headache, diarrhea, and dyspnea, consistent with upper respiratory tract infection. The second phase with rapid appearance of bilateral pneumonia and infiltrates with variable degree of hypoxia and the last third phase with respiratory failure, which leads to death. 8 This virus multiplies in the upper respiratory tract, and the peak viral load is reached even before the symptom onset. As a result, asymptomatic individuals can also transmit. In those who are symptomatic, the manifestations range from mild to severe, requiring intensive care. Studies have shown that the proportion of asymptomatic and mild illness is significantly higher and a tiny proportion of individuals develop a severe disease. 9

Therefore, to analyze and compare the clinical and demographic dynamics of symptomatic with asymptomatic COVID patients in detail is important. So that effective measures can be taken to halt the transmission of disease, prevent death and alter the course of this epidemic. This study, one of the first of its kind in our region will give us a perspective into clinic-demographics of symptomatic vs asymptomatic patients as well as the prevalence and risk factors in COVID 19 patients.

Materials and Method

This was a hospital based cross sectional based study conducted at Virology unit of Department of Microbiology, Government Medical College and associated hospitals, Srinagar. All relevant clinical and demographic and epidemiological information was recorded over a period of one year From March 2020 to march 2021.Patients with acute respiratory infection, influenza like illness, severe acute respiratory infection, High risk contacts and asymptomatic close contacts of COVID-19 patients, hospitalized patients, pregnant women, Traveler who fulfilled the ICMR screening criteria were screened for SARS CoV-2 by RT PCR and were included in this study. A positive result on real time PCR of nasopharyngeal / oropharyngeal swab was taken as a confirmed positive case of COVID-19. A total of 217,665 samples from clinically suspected cases of COVID-19 were collected and processed at VRDL division of our laboratory. Following Proper sample collection protocols and procedures is the cornerstone of the diagnosis of COVID-19. Therefore, Samples were collected under all recommended protocols as recommended by CDC. For initial diagnosis of SARS its recommended by CDC to collect upper respiratory tract specimens which include the following: nasopharyngeal swabs, oropharyngeal swabs, nasal mid turbinate swabs, nasopharyngeal aspirates and saliva and lower respiratory specimens like sputum, BAL tracheal aspirate, lung biopsy and Plural fluid were also included. In this study Nasopharyngeal swabs were taken from deep nostrils using a dry synthetics swab stick. The swab was inserted along the floor of the nostril parallel to the palate and back to the nasopharynx. It was left in place for a few seconds and rotated 3 times. The swab was then slowly removed and tip was placed in vial containing three ml of viral transport media while breaking the applicator stick. It was subsequently transported to COVID testing lab at 4 degree Celsius as quickly as possible.

Samples from various districts of the state were received at our laboratory and were processed under appropriate biosafety level precautions. RT PCR assay was conducted according to the manufacturer's instructions for the detection of RNA from SARS-CoV-2 present in the nasal pharyngeal swabs of the patients suspected of COVID-19.RNA extraction and purification was done from all the samples using Invitrogen Purelink viral RNA/DNA mini kit by Thermo Fisher scientific with each kit containing 50 reactions. This extracted and purified RNA was reverse transcribed to cDNA and subsequently amplified using ABI 7500 Fast DX RT-PCR Thermocycler. The kit was a two-step kit wherein the E gene was used for screening. All samples which came positive for screening were confirmed by a secondary reaction targeting the ORF and RdPR genes as per the NIV protocol. Over a period of one year various other kits from different manufacturers were also used for example, modified Thermo Fisher Taq Path COVID-19 SARS-CoV-2 (ORF1ab,N,S gene detection), labgun COVID-19 assay (RdRP,E,IC DETECTION) . To ensure the integrity and verification of RT PCR assay results an internal control was analyzed for each sample, Also, one replicate of positive control and one replicate of negative control was tested in each batch. A cycle threshold (CT VALUE) value of less than 35 was defined as positive and CT value have greater or equal to 40 was defined as negative test results. A CT value from 35 to less than 40 was reported as inconclusive, and a repeat sampling was requested from such patients.

Results

A total of 2,17,665 samples from clinically suspected cases of COVID-19 were collected and analyzed at the VRDL division of our department over a period of one year from, March 2020 to March 2021. Of the 217665 patients, 130559(60%) were asymptomatic, and 87066 (40%) were symptomatic (Table 1). Out of them 133474 (61.3%) were males and 84,191 (38.7%) were females (Table 2). The overall mean age was 34.3 years. 3,730 (1.7%) patients had presented with severe acute respiratory illness (SARI) when tested for SARS- CoV-2 (Table 6). Of the total 217665 patients, 24,009 (11%) tested positive for SARS-CoV-2 infection by RT- PCR, among them 15,254 (63.5%) were males while 8755 (36.5%) were females (Table 3). The mean age observed was 35.3 years. Also, 2,748 results were declared Inconclusive (according to the kit manufacturer’s instructions) and 886 specimens were rejected for various reasons (Table 3). The highest positivity was observed in the age group of 30 – 39 years (n=5297, 22%), followed by 20 -29 years (n=4885, 20.4%). On comparing the clinical manifestations of symptomatic vs. asymptomatic patients, male patients were significantly more symptomatic than female patients (Table 4). Amongst lab confirmed positive cases, fever was the most common symptom, and was present in (1.7%) patients, followed by cough (41%) and fatigue / malaise was reported by 37% of patients (Table 5). Also among positive cases, associated comorbidities were present in 5580 (23.2%) patients, of which Hypertension (n=2593, 10.8%) was the most common, followed by COPD (n=1176, 4.9%) and Diabetes mellitus (n=960, 4%). 120 patients with malignant conditions also tested positive for SARS-CoV-2 infection (Table 5). 1118 patients (25%) of the positive patients above 60 years of age were seen to be symptomatic. Among children of age less than 10 years 91.3% were asymptomatic.92.4% of COVI-19 positive patients in age group of 10 -19 were asymptomatic. Also 51.3% positive patients with one or more comorbidity were symptomatic. (Table 6). Further, there was no significant (p=0.589) association number of comorbidities and symptomatic and asymptomatic COVID-19 positive patients (Table 7).

Table 1

Symptomatic andasymptomatic cases among the study participants

Total no of patients

Asymptomatic patients, n (%)

Symptomatic patients, n (%)

217665

130599(60%)

87066(40%)

Table 2

Gender distribution among the study participants

Gender

No of Patients (%)

Males

133474(61%)

Females

84191(38.6%)

Table 3

Outcome of COVID-19 testing among the study participants

Total no of patients tested

Total positives

Total negatives

Total no of inconclusive and rejected samples

217665

24009(11%)

190022

3634

Table 4

Association between gender and COVID-19 symptom

Parameter (gender)

Asymptomatic

Symptomatic

P value

Male (n=15043)

7522(50.0%)

7521(49.99%)

0.004

Female n=(8663)

6671(77%)

1992(22.99%)

Table 5

Comorbidities and Presenting symptoms among the COVID-19 positive patients

Clinical Features

No of Patients (%)

Comorbidities in positive patients

Hypertension

2593(10%)

COPD

1176(4.8%)

Diabetes Mellitus

960(3.9%)

Cardiovascular Diseases

480(1.99%)

Hypothyroidism

72(0.2%)

Malignancies

120(0.49%)

CKD

144(0.49%)

Pulmonary Tuberculosis

24(.09%)

Pancreatitis

11(.045%)

Multiple Comorbidities

1560(6.49%)

Presenting Symptoms

Fever

14886 (62%)

Cough

9844 (41%)

Fatigue or Malaise

8884 (37%)

Myalgia

5763 (24%)

Shortness of Breath

4003 (16.6%)

Headache

2641(11%)

Chills and Rigor

1680(7%)

Loss of Smell/Taste

1273 (5.3%)

Nasal Congestion

960 (4%)

Sore Throat

720 (3%)

Rhinorrhea

480 (2%)

Diarrhoea

480 (2%)

Nausea and Vomiting

242 (1%)

Abdominal Pain

140 (0.6%)

Table 6

Comorbidities among the symptomatic and Asymptomatic COVID-19 positive patients

Comorbidities

Symptomatic

Asymptomatic

Total

No

18901(8.48%)

4297(18.52%)

23198

One or greater than One

248(48.63%)

262(51.37%)

510

Table 7

Association between number of Comorbidities among the symptomatic and Asymptomatic COVID-19 positive patients

Number of comorbidities

Asymptomatic

Symptomatic

P value

0 (n=18326)

9713(53%)

8613(47%)

0.589

1 (n=5683)

3643(64.1)

2040(35.9%)

Greater than 1 (n=1560)

953(61.1%)

607(38.9%)

Discussion

SARS-CoV-2 is placed in the genera Beta Coronavirus and subgenus Sarbecovirus. SARS-CoV-2 causing COVID 19 disease has emerged as one of the most infectious pathogen known to humans, causing severe acute respiratory illness (SARI) along with MERS and Influenza A/H1N1. Initial studies from China demonstrated COVID-19 to be a respiratory illness with a spectrum ranging from mild illness (81%), severe respiratory distress (14%) and critical illness in 5%, with a case fatality rate (CFR) of around 2.4%. 9 The COVID-19 pandemic has had a major impact on clinical microbiology laboratories in the past one year. The ongoing pandemic has affirmed the importance of the laboratory diagnosis of SARSCoV- 2 infection in order to diagnose, limit the spread, and promptly treat those patients who have a serious infection. Our institute has reported close to one third (32%) of the total positive cases from Kashmir division and around 18.8% cases of the whole state, indicating a high burden and the magnitude of work that has been carried out by the department of Microbiology, GMC, Srinagar. In our study an overall positivity rate of 11% observed, majority of the positive cases were males (63.5%), while 36.5% were females. The mean age observed was 35.3 years and the median age was 32 years (Range 0 – 98 years). The highest positivity was observed in the age group of 30 – 39 years (22%), followed by 20 -29 years (20.4%), and 40 – 49 (16.9%). In a similar study by Khan M, et al. in Peshawar, Pakistan it was found that among 121 RT-PCR positive patients, 70.25% were male, while 29.8% were females, and the majority of the cases were between 25 to 60 years old. 10 Patients testing positive for SARS-CoV-2 infection in our study were younger (median age=32 years) when compared to those in China (median age=56 years) 11 and New York (median age=63 years). 12 In most of the developing countries, males are the working members in majority of the households, thereby exposing themselves in work places and explaining the higher preponderance. The high infection rates among adolescents and young adult population can be attributed to the higher outdoor exposure and subsequent chances of them getting infected from cases in crowded areas, events and work places. In the present study, 40% of total positive cases were symptomatic at the time of testing for SARS-CoV-2. Fever (62%), cough (41%), Fatigue/Malaise (37%) were the predominant symptoms, while gastrointestinal symptoms (3.6%) were relatively infrequent. In a similar study conducted by Soni et al. the common presenting complaints were fever in 37(77.1%) followed by cough in 26 (54.2%) patients.13 In another study conducted by Wu et al. who reported fever, cough and sputum production as the predominant symptoms among patients requiring hospitalization with COVID-19. 14 These observations are quite similar to our findings. In a study from New Delhi, India by Gupta et al. symptoms were observed in 42.9% of cases with fever an cough being the most common. 15 Fever as the predominant symptom in overwhelming cases indicates an early Interleukin mediated systemic response to initial infection or a localized inflammatory response to the respiratory tract infection.16 In our study, 23.2% of total SARS-CoV-2 positive cases had some underlying medical condition or comorbidity. Hypertension 10.8% was the most common, followed by COPD 4.9% (1.4% ILI & 3.5% SARI) and Diabetes mellitus 4%. 6.5% patients had multiple comorbidities. In another study by Soni et al. 29.8% patients had associated comorbid condition of varying severity, this included hypertension in 16.6%, diabetes in 14.9% and chronic renal disease in 2.6% patients. 13 Gupta et al. reported hypertension in 23.4% as the most common comorbidity among COVID-19 patients. 15 These findings are in concordance with the findings of our study. An overall increased risk among people with comorbid conditions, particularly chronic lifestyle related diseases have put an added burden on an already high mortality and morbidity numbers associated with COVID-19.

Asymptomatic transmission of COVID-19 was initially described in household contacts of positive patients from China.17 The percentage of asymptomatic COVID-19 in positive patients from China ranged from 1.2-11%.18 However, the rate of individuals with asymptomatic COVID-19 depends highly on the testing strategies as asymptomatic individuals are unlikely to report to the hospital. In a study from south India by Gupta et al. all travelers were screened irrespective of the symptoms and were admitted irrespective of the severity, the percentage of asymptomatic individuals was seen to be higher (59%). This was similar to our finding were 60% patients were asymptomatic.19 The spectrum of symptomatic patients with COVID-19 ranges from mild to severe. In a large report from China, the proportion of mild patients among all symptomatic patients was 81%. The risk factors for severe disease in patients with COVID-19 range from cardiovascular disease, diabetes mellitus, hypertension, chronic lung disease and immunosuppressive conditions. In a study, the mean number of comorbidities in patients who died was 2.7.20 In another study; the mortality rate was significantly higher in those with comorbidities than those without comorbidities.21 Similar to our study, male sex was associated with more severe illness.22 Older age has also been associated with symptomatic disease which is in line with the present study.20

Conclusion

The possibility of transmission from asymptomatic cases which form a significant proportion of total positive patients but are missed on symptom-based screening calls for adherence to preventive measures such as physical distancing, frequent hand washing, wearing of masks in the community and universal masking. Since patients with asymptomatic and mild illness have excellent outcomes without any therapeutic interventions, unnecessary and unproven medications should be avoided in such patients. These patients can also be managed in-home isolation (with monitoring) to decrease the burden on tertiary care hospitals.

Acknowledgements

None.

Conflict of Interest

None to declare.

Funding Sources

None.

References

1 

P Zhou X L Yang X G Wang B Hu L Zhang W Zhang A pneumonia outbreak associated with a new coronavirus of probable bat originNature20205797798270310.1038/s41586-020-2012-7

2 

B Hu H Guo P Zhou ZL Shi Characteristics of SARS-CoV-2 and COVID-19Nat Rev Microbiol20211931415410.1038/s41579-020-00459-7

3 

WHO Coronavirus (COVID-19) Dashboard [Internet]. [cited 2021 Nov 13]https://covid19.who.int

4 

AJ Rodriguez-Morales DK Bonilla-Aldana GJ Balbin-Ramon AA Rabaan R Sah A Paniz-Mondolfi History is repeating itself: Probable zoonotic spillover as the cause of the 2019 novel Coronavirus EpidemicInfez Med202028135

5 

E Mahase Coronavirus covid-19 has killed more people than SARS and MERS combined, despite lower case fatality rateBMJ2020368m64110.1136/bmj.m641

6 

D Lewis Mounting evidence suggests coronavirus is airborne - but health advice has not caught upNature20205837817510310.1038/d41586-020-02058-1

7 

W Wang Y Xu R Gao R Lu K Han G Wu Detection of SARS-CoV-2 in Different Types of Clinical SpecimensJAMA2020323181843410.1001/jama.2020.3786

8 

RJ Mason Pathogenesis of COVID-19 from a cell biology perspectiveEur Respir J2020554200060710.1183/13993003.00607-2020

9 

Z Wu JM Mcgoogan Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China: Summary of a Report of 72 314 Cases From the Chinese Center for Disease Control and PreventionJAMA20203231312394210.1001/jama.2020.2648

10 

M Khan H Khan S Khan M Nawaz Epidemiological and clinical characteristics of coronavirus disease (COVID-19) cases at a screening clinic during the early outbreak period: a single-centre studyJ Med Microbiol202069811142310.1099/jmm.0.001231

11 

F Zhou T Yu R Du G Fan Y Liu Z Liu Clinical course and risk factors for mortality of adult in patients with COVID-19 in Wuhan, China: a retrospective cohort studyLancet20203951022910546210.1016/S0140-6736(20)30566-3

12 

S Richardson J S Hirsch M Narasimhan JM Crawford T Mcginn KW Davidson Presenting Characteristics, Comorbidities, and Outcomes Among 5700 Patients Hospitalized With COVID-19 in the New York City AreaJAMA2020323202052910.1001/jama.2020.6775

13 

SL Soni K Kajal LN Yaddanapudi P Malhotra GD Puri A Bhalla Demographic & clinical profile of patients with COVID-19 at a tertiary care hospital in north IndiaIndian J Med Res20201531&21152510.4103/ijmr.IJMR_2311_20

14 

F Wu S Zhao B Yu Y M Chen W Wang Z G Song A new coronavirus associated with human respiratory disease in ChinaNature20205797798265910.1038/s41586-020-2008-3

15 

N Gupta S Agrawal P Ish S Mishra R Gaind G Usha Clinical and epidemiologic profile of the initial COVID-19 patients at a tertiary care centre in IndiaMonaldi Arch Chest Dis2020901193610.4081/monaldi.2020.1294

16 

K Dhama S Khan R Tiwari S Sircar S Bhat YS Malik Coronavirus Disease 2019-COVID-19Clin Microbiol Rev2020334e00028-2010.1128/CMR.00028-20

17 

Y Bai L Yao T Wei F Tian D Y Jin L Chen Presumed Asymptomatic Carrier Transmission of COVID-19JAMA2020323141406710.1001/jama.2020.2565

18 

Epidemiology Working Group for NCIP Epidemic Response, Chinese Center for Disease Control and Prevention. [The epidemiological characteristics of an outbreak of 2019 novel coronavirus diseases (COVID-19) in ChinaZhonghua Liu Xing Bing Xue Za Zhi20204121455110.3760/cma.j.issn.0254-6450.2020.02.003

19 

N Gupta A John M S Kokkottil M Varma S Umakanth K Saravu Clinical profile and outcomes of asymptomatic vs. symptomatic travellers diagnosed with COVID-19: An observational study from a coastal town in South IndiaDrug Discov Ther20211511810.5582/ddt.2020.03068

20 

G Onder G Rezza S Brusaferro Case-Fatality Rate and Characteristics of Patients Dying in Relation to COVID-19 in ItalyJAMA2020323181775610.1001/jama.2020.4683

21 

A Sanyaolu C Okorie A Marinkovic R Patidar K Younis P Desai Comorbidity and its Impact on Patients with COVID-19SN Compr Clin Med20202810697610.1007/s42399-020-00363-4

22 

T Chen D Wu H Chen W Yan D Yang G Chen Clinical characteristics of 113 deceased patients with coronavirus disease 2019: retrospective studyBMJ2020368:m129510.1136/bmj.m1295



jats-html.xsl

© 2022 Published by Innovative Publication Creative Commons Attribution 4.0 International License (creativecommons.org)