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Original Article
35 (
4
); 201-205
doi:
10.25259/NMJI_109_21

Kinetics of Covid-19 antibodies in terms of titre and duration among healthcare workers: A longitudinal study

Department of Clinical Imaging and Interventional Radiology, Apollo Multispeciality Hospitals, Institute of Gastrosciences and Liver, Kolkata, West Bengal, India
Department of Transfusion Medicine and Blood Bank, Apollo Multispeciality Hospitals, Institute of Gastrosciences and Liver, Kolkata, West Bengal, India
Department of Biostatistics, Apollo Multispeciality Hospitals, Institute of Gastrosciences and Liver, Kolkata, West Bengal, India
Department of Allergy and Asthma Research Centre, Apollo Multispeciality Hospitals, Institute of Gastrosciences and Liver, Kolkata, West Bengal, India

Correspondence to MAHESH KUMAR GOENKA; mkgkolkata@gmail.com

Licence
This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-Share Alike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.

[To cite: Goenka MK, Goenka U, Patil VU, Das SS, Afzalpurkar S, Jajodia S, et al. Kinetics of Covid-19 antibody in terms of titre and duration among healthcare workers: A longitudinal study. Natl Med J India 2022;35:201–5.]

Abstract

Background

Most individuals with Covid-19 infection develop antibodies specific to the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, the dynamics of these antibodies is variable and not well-studied. We aimed to determine the titres of naturally acquired antibodies over a 12-week follow-up.

Methods

We recruited healthcare workers who had tested positive on a specific quantitative reverse transcription-polymerase chain reaction (qRT-PCR) for SARS-CoV-2, and then tested for the presence of immunoglobulin G (IgG) antibody against the same virus at baseline and again at 6 and 12 weeks. The antibody titre was determined by a semi-quantitative assay based on signal/cut-off ratio. Healthcare workers with antibody positivity were divided into those with high titre (ratio ≥12) and low titre (<12). Their demographic details and risk factors were surveyed through a Google form and analysed in relation to the antibody titres at three time-points.

Results

Of the 286 healthcare workers, 10.48% had high antibody titres. Healthcare workers who had tested positive by qRT-PCR and those who had received the Bacille Calmette–Guérin (BCG) vaccination or other immune-boosters had a higher frequency of high antibody titres. While there was a significant decline in antibody titres at 6 and 12 weeks, 87.46% of individuals positive for IgG antibody persisted to have the antibody even at 12 weeks.

Conclusion

Healthcare workers who tested positive for SARS-CoV-2 on qRT-PCR had a high positivity for the specific antibody, which continued to express in them even at 12 weeks. Further follow-up is likely to enhance our understanding of antibody kinetics following SARS-CoV-2 infection.

INTRODUCTION

The ongoing Covid-19 was declared a pandemic in March 2020. We still do not have a clear understanding regarding the immunological response of the host to this novel coronavirus. However, it is well known that antibodies including immunoglobulin G (IgG), IgM and IgA are generated in most patients in response to Covid-19 infection within 1–3 weeks.16 The humoral immune response may be variable in terms of magnitude and duration. The quantity of antibodies in plasma may be the determinant of its protective capability and the utility of convalescent plasma as a treatment.7 Experience with another coronavirus has shown that the humoral immune response is variable.811 While antibody to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and Middle East respiratory syndrome are known to persist even up to 3 years, those against human alpha and beta coronaviruses usually wane before 12 weeks.9,1214 Data suggest that there is rapid disappearance of IgM antibody following Covid-19 infection.15 Durability of IgG antibody response to Covid-19, however, has not been evaluated well.3,4,1519

We conducted a seroprevalence study of Covid-19 among healthcare workers (HCWs) in our hospital, and analysed those seropositive (IgG Ab) for Covid-19.20 It is believed that detectable IgG Ab imparts protective immunity from re-infection to that particular individual. However, it is unclear whether the antibody response is related to disease severity.

We aimed to determine the magnitude and durability of naturally acquired Covid-19 antibodies over a 12-week follow-up period. Our primary objective was to compare groups with high and low titres of antibodies to independent variables among Covid-19 cases. The secondary objective was to determine the relationship between various risk factors of Covid-19 infection and the antibody response.

METHODS

Study population

The study was approved by the internal ethical committee of the institute. Subjects included HCWs from our hospital who had IgG Ab against Covid-19 detected between July and September 2020.

We evaluated the level of IgG in HCWs who had tested positive for SARS-CoV-2 by qRT-PCR. These HCWs were tested either due to symptoms suggestive of Covid-19 disease or close contact with positive cases. The HCWs were then requested to come for a follow-up antibody testing at 6 weeks (±3 days) and again at 12 weeks (±3 days).

HCWs were divided into three groups based on the risk of exposure to Covid-19-positive patients:

  1. High risk: Those who were working or had worked in a Covid-19 ward or an intensive care unit and those regularly involved in the testing or investigating a Covid-19 patient.

  2. Intermediate risk: Those not belonging to either high- or low-risk groups, i.e. HCWs who are managing patients or performing procedures on patients not diagnosed or suspected to be having Covid-19. These included, but were not limited to, staff working in emergency, aerosol-generating facilities and outpatient services.

  3. Low risk: Those who had no direct contact with the patients or their belongings, e.g. staff belonging to the administrative cadre, human resource department and marketing.

Covid-19 antibody testing

Antibodies to Covid-19 were tested in the plasma of participants using the enhanced chemiluminescence method (Vitros ECi, Ortho Clinical Diagnostics, New Jersey, USA) on a luminometer. Signal-to-cut-off ratio (S/Co) was used to semi-quantitatively categorize patients with antibodies to Covid-19 as high titre or low titre at a cut-off value of 12 (≥12 categorized as high titre).7,21

Profile questionnaire

All participants were also sent a questionnaire on Google forms either through a registered phone number or email address. This form collected variables that included demographic and clinical data. The form had 26 questions with multiple-option answers requiring either single or multiple replies. Survey questions were divided into three categories: (i) demographic details of participants; (ii) details of job profile; and (iii) medical history including symptoms or diagnosis of Covid-19 (by qRT-PCR).

Statistical analysis

Participants with high antibody titre were compared with those with low antibody titre in terms of various parameters including qRT-PCR positivity, age, gender, occupation, blood group, history of smoking, Bacille Calmette–Guérin (BCG) vaccination and comorbid conditions. During 6- and 12-week follow-up testing, the number of HCWs becoming negative for IgG Ab against Covid-19 was also recorded.

The data were compiled and later analysed by the software SPSS version 22.0 (IBM Inc, Chicago, Illinois, USA). The Chi-square test was used for comparisons of antibody titres. The McNemar test and Paired t-test were applied to compare baseline and follow-up antibody titres. Binary logistic regression was used to determine the strength of predictors. For all tests, confidence interval and p value were set at 95% and <0.05, respectively.

RESULTS

We recruited 286 HCWs who tested positive for SARS-CoV-2 IgG Ab. These included 129, who had tested positive during our seroprevalence study among HCWs but had never been positive by qRT-PCR for SARS-CoV-2. The other 157 HCWs had tested positive for antibodies 2–3 weeks after having been qRT-PCR-positive for SARS-CoV-2. Five HCWs who were qRT-PCR-positive did not have any detectable IgG SARS-CoV-2 antibodies even on sequential testing and hence were excluded from the study (Fig. 1).

Study flowchart and result in the form of IgG Covid-19 antibody positivity
FIG 1.
Study flowchart and result in the form of IgG Covid-19 antibody positivity

Table I compares the various parameters in these two groups at baseline.

TABLE I. Comparative assessment of high and low titres of antibodies at baseline according to independent variables
Independent variable Antibody titres p value Total, n(%)
Low (<12), n (%) High (≥12), n (%)
qRT-polymerase chain reaction
Positive 128 (81.5) 29 (18.5) 0.001* 157 (54.9)
Not positive 128 (99.2) 1 (0.8) 129 (45.1)
Age group (years)
<30 95 (96) 4 (4) 0.058 99 (34.6)
31–40 113 (86.9) 17 (13.1) 130 (45.5)
41–50 41 (85.4) 7 (14.6) 48 (16.8)
51–60 7 (77.8) 2 (22.2) 9 (3.1)
Gender
Men 86 (90.5) 9 (9.5) 0.693 95 (33.2)
Women 170 (89) 21 (11) 191 (66.8)
Occupation
Administration 10 (83.3) 2 (16.7) 0.217 12 (4.2)
Dietician 12 (85.7) 2 (14.3) 14 (4.9)
Consultant doctor 3 (60) 2 (40) 5 (1.7)
Non-consultant doctor 16 (80) 4 (20) 20 (7)
Front office staff 8 (80) 2 (20) 10 (3.5)
Housekeeping 74 (94.9) 4 (5.1) 78 (27.3)
Laboratory assistant/pharmacist 21 (84) 4 (16) 25 (8.7)
Nurse 64 (90.1) 7 (9.9) 71 (24.8)
Technician 25 (92.6) 2 (7.4) 27 (9.4)
Ward executives 12 (92.3) 1 (7.7) 13 (4.5)
Others 11 (100) 0 11 (3.8)
Blood group
A 47 (92.2) 4 (7.8) 0.496 51 (17.8)
Non-A 209 (88.9) 26 (11.1) 235 (82.2)
Smoking
No 202 (89.8) 23 (10.2) 0.777 225 (78.7)
Yes 54 (88.5) 7 (11.5) 61 (21.3)
Diet
Non-vegetarian 249 (89.2) 30 (10.8) 0.359 279 (97.6)
Vegetarian 7 (100) 0 7 (2.4)
Bacillus Calmette–Guerin vaccination
No 154 (92.8) 12 (7.2) 0.034* 166 (58)
Yes 102 (85) 18 (15) 120 (42)
Comorbid conditions
Absent 221 (90.9) 22 (9.1) 0.06 243 (85)
Present 35 (81.4) 8 (18.6) 43 (15)
Use of immune boosters
No 134 (93.7) 9 (6.3) 0.021* 143 (50)
Yes 122 (85.3) 21 (14.7) 143 (50)
Allergic disorders
Yes 230 (90.2) 25 (9.8) 0.278 31 (10.8)
No 26 (83.9) 5 (16.1) 255 (89.2)
Total 256 (89.5) 30 (10.5) 286 (100)
Statistically significant difference, Chi-square test

There was a greater probability of high titre in those who had earlier received BCG vaccination than those who had not (15.0% v. 7.2%, p=0.034). Similarly, individuals receiving immune boosters had 14.7% incidence of high titre compared to 6.3% without a history of intake of immune boosters (p=0.021). qRTPCR-positive HCWs had 24.26% times higher odds of high antibody titre than those not testing positive (p=0.002, Table II).

TABLE II. Binary logistic regression analysis with antibody titre as the dependent variable
Independent variable Odds ratio Confidence interval p value
Polymerase chain reaction test
Positive 24.26 3.227–182.467 0.002
Negative*
Bacillus Calmette–Guerin vaccination
Received 2.28 1.008–5.136 0.048
Not received*
Use of immune boosters
Yes 2.27 0.971–5.326 0.059
No*

Thirty-seven (23.57%) Covid-positive patients required hospitalization, and among them only 4 (10.8%) had high antibody titres (Table III). Low oxygen/acute respiratory distress syndrome (ARDS), need for hospitalization, duration of hospitalization and requirement of treatment with steroids and/ or antiviral drugs did not have any significant association with antibody titre (Table III).

TABLE III. Comparative assessment of high and low titres of antibodies according to independent variables among polymerase chain reaction-positive Covid-19 healthcare workers
Independent variable Antibody titres, n (%) p value Total n (%)
Low, n (%) High, n (%)
Low oxygen or acute respiratory distress syndrome
No 122 (80.8) 29 (19.2) 0.234 151 (96.2)
Yes 6 (100) 0 6 (3.8)
Hospitalization
No 95 (79.2) 25 (20.8) 0.17 120 (76.4)
Yes 33 (89.2) 4 (10.8) 37 (23.6)
Duration of hospitalization (weeks)
<1 59 (75.6) 19 (24.3) 0.3 78 (49.7)
1–2 40 (85.1) 7 (14.9) 47 (29.9)
2–3 19 (86.4) 3 (13.6) 22 (14)
>4 10 (100) 0 10 (6.4)
Treatment given
No 61 (74.4) 21 (25.6) 0.074 82 (60.3)
Yes 47 (87) 7 (13) 54 (39.7)

Follow-up at 6 and 12 weeks

Of the 286 participants, 28 dropped out of the study at 6 weeks and a further 17 dropped out at 3 months (Fig. 2). Thus, 258 HCWs were tested for IgG Ab against Covid-19 at 6 weeks, while 232 HCWs were re-tested at 12 weeks. Only 9 of 258 (3.49%) become negative for antibody at 6-week follow-up, and 9.05% (21 of 232) become negative for antibody at 12 weeks. Interestingly, the 30 individuals, who became undetectable for the antibody during follow-up belonged to the low-titre group.

Comparative assessment of high and low titres of antibodies according to Covid-19 positivity
FIG 2.
Comparative assessment of high and low titres of antibodies according to Covid-19 positivity

Among 232 patients evaluated at 12 weeks, the titres at 0 week, 6 weeks and 12 weeks are given in Table IV and shown in Fig. 3. The decrease in titre between the three time-periods was significant (p=0.0001, Wilcoxon signed Rank test). The symptomatic group had significantly high antibody titre not only at baseline but also on 6-week and 12-week follow-up (Table V).

Follow-up Covid-19 IgG titres at 0, 6 and 12 weeks
FIG 3.
Follow-up Covid-19 IgG titres at 0, 6 and 12 weeks
TABLE IV. Follow-up coronavirus disease IgG titres at 0, 6 and 12 weeks among 232 healthcare workers
Statistic 0 week 6 weeks 12 weeks
Mean (SD) 7.80 (5.83) 7.02 (3.85) 5.73 (3.93)
Median (range) 6.78 (1–31.8) 6.82 (1.06–19.10) 5.04 (0.27–17.80)
Variance 34.00 14.82 15.48

SD standard deviation

TABLE V. Comparison of antibody response between symptomatic and asymptomatic reverse transcription-polymerase chain reaction-positive patients
Time Number of patients Symptomatic Asymptomatic p value Test
0 weeks Number of patients 111 23
Mean (SD) 10.59 (7.01) 8.04 (6.40) <0.035 Mann–Whitney U
Median (range) 9.06 (1.13–31.80) 7.44 (1.60–29.20)
6 weeks Number of patients 111 23
Mean (SD) 8.59 (3.63) 5.65 (2.82) <0.0001 Independent samples t-test
Median (range) 8.77 (1.02–19.10) 5.16 (1.11–11.00)
12 weeks Number of patients 9 9 19
Mean (SD) 7.56 (3.58) 5.04 (2.99) <0.004 Mann–Whitney U
Median (range) 7.10 (1.81–15.90) 4.45 (1.03–11.80)

Antibody response among the seropositive group (after excluding RT-PCR-positive patients) was compared at 6 weeks and 12 weeks from the baseline (Table VI). There was no significant drop in the mean antibody levels during follow-up after 6 weeks (p=0.9, Wilcoxon signed ranks test). However, there was a significant drop in antibody titre in the third time-period, i.e. 12 weeks in comparison to the first titre (p=0.05). Similarly, there was a drop in mean antibody levels after 12 weeks in comparison to the levels after 6 weeks (p<0.0001).

DISCUSSION

We have shown that patients with PCR positivity had a higher chance of a high antibody titre. A study by Long et al.22 from China has also shown that IgG Ab level in symptomatic Covid-19 patients was much higher compared to that in the asymptomatic group. However, high titre in our study did not correlate with severity of disease as evidenced by need for target therapy, oxygen and duration of hospitalization. This is somewhat different from the experience by Seow et al.16 who did notice a relationship between antibody titre and severity of disease. The reason for low antibodies among seropositive cases could be a reflection of the time duration between exposure and time of testing.

Our study also shows a higher antibody response in patients who had received BCG vaccination in childhood and ‘immune-boosters’. Sharma et al.23 had reported the mortality to be lower and recovery rate to be higher in countries that have BCG vaccination in their universal health programme. Malik et al.24 explained the role of BCG vaccination and its immunological effects. A few studies have evaluated the immune-boosting role of vitamins such as D, C, E, zinc, selenium and omega-3 fatty acids in the prevention and treatment of Covid-19 by improving immunity, in general.25,26 More work, however, is needed to establish these relationships.

Our study shows that 87.46% of subjects with IgG Ab against Covid-19 continue to have antibodies at 12 weeks. However, as shown in earlier studies from the UK16 and China,22 the antibody titre decreased during follow-up. The decrease or disappearance was more likely in those who had low initial antibody titre both in our data and earlier reported series. Seow et al.16 noted that individuals with high peak ID50 (serum dilution that inhibits 50% infection) for neutralization maintained high neutralizing antibody titre for longer period. Ibarrondo et al.18 and Bruni et al.19 have shown rapid decaying of anti-SARS-CoV-2 antibodies in persons with mild Covid-19.

We used Vitros anti-SARS-COV-2 IgG assay, which targets the S1 spike protein.27,28 Compared to other coronaviruses, S1 protein is more specific and unique to SARS-CoV-2.29,30 Chemiluminescence-immunoassay used in our study has been shown to be superior to the ELISA method.31

Our limitations include the modest sample size and not measuring the exact quantity of the specific IgG antibody in plasma.

Conclusion

Our study shows that IgG Ab to SARS-CoV-2 was higher in HCWs who had tested positive for SARS-CoV-2 by qRT-PCR than in those in whom antibodies were detected during the seroprevalence study. Moreover, HCWs having received BCG vaccination and administered immune boosters had higher antibody titres. We also noted that most participants continued to have antibodies even at 12 weeks, though the titre showed a significant decline. Further follow-up is needed to clearly illustrate the kinetics of antibody response in Covid-19.

ACKNOWLEDGEMENT

We thank Mr Saurav Barman for helping in the compilation of data.

Conflicts of interest

None declared

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