| Literature DB >> 35394604 |
Maxence Meyer1, Florentin Constancias2, Claudia Worth3, Anita Meyer4, Marion Muller5, Alexandre Boussuge5, Georges Kaltenbach5, Elise Schmitt5, Saïd Chayer6, Aurélie Velay7,8, Thomas Vogel5, Samira Fafi-Kremer7,8, Patrick Karcher5.
Abstract
The objectives of this study were to assess the dynamics of the SARS-CoV-2 anti-RBD-IgG response over time among older people after COVID-19 infection or vaccination and its comparison with indicative levels of protection. Geriatric patients with SARS-CoV-2 serological test results were included and divided into three groups. A vaccine group (n = 34), a group of natural COVID-19 infection (n = 32), and a group who contracted COVID-19 less than 15 days after the first injection (n = 17). Eighty-three patients were included; the median age with IQR was 87 (81-91) years. In the vaccine group at 1 month since the first vaccination, the median titer of anti-RBD-IgG was 620 (217-1874) BAU/ml with 87% of patients above the theoretical protective threshold of 141 BAU/ml according to Dimeglio et al. (J Infec. 84(2):248-88, [7]). Seven months after the first vaccination, this titer decreased to 30 (19-58) BAU/ml with 9.5% of patients > 141 BAU/ml. In the natural COVID-19 infection group, at 1 month since the date of first symptom onset, the median titer was 798 (325-1320) BAU/ml with 86.7% of patients > 141 BAU/ml and fell to 88 (37-385) with 42.9% of patients > 141 BAU/ml at 2 months. The natural infection group was vaccinated 3 months after the infection. Five months after the vaccination cycle, the median titer was 2048 (471-4386) BAU/ml with 83.3% of patients > 141 BAU/ml. This supports the clinical results describing the decrease in vaccine protection over time and suggests that vaccination after infection can maintain significantly higher antibody titer levels for a prolonged period of time.Entities:
Keywords: Anti-RBD IgG; Dynamics; Kinetics; SARS-CoV-2; Serology
Mesh:
Substances:
Year: 2022 PMID: 35394604 PMCID: PMC8990277 DOI: 10.1007/s11357-022-00546-y
Source DB: PubMed Journal: Geroscience ISSN: 2509-2723 Impact factor: 7.581
Age, sex, and Charlson Comorbidity Index
| Vaccine group = 2 BNT162b2/Comirnaty injections 21 days apart | Natural COVID group | Group who contracted COVID-19 less than 15 days after the first BNT162b2/Comirnaty injection | Total | ||
|---|---|---|---|---|---|
| Number of participants | 34 | 32 | 17 | 83 | |
| Age—year | |||||
| Median | 87 | 87.5 | 87 | 87 | Kruskal–Wallis test |
| Interquartile range | 80.5–88.5 | 82.75–91 | 79–92 | 81–91 | |
| Sex—number (%) | |||||
| Women | 24 (70.6%) | 24 (75.0%) | 11 (64.7%) | 59 (71.1%) | Chi-squared test |
| Men | 10 (29.4%) | 8 (25.0%) | 6 (35.3%) | 24 (28.9%) | |
| Charlson Comorbidity Index | |||||
| Median | 7 | 7 | 7 | 7 | p = 0.62 Kruskal–Wallis test |
| Interquartile range | 5–9 | 5–8 | 7–8 | 5–8.5 | |
Fig. 1Kinetics of anti-SARS-CoV-2 RBD IgG and theoretical protection against COVID-19 among older adults. Panel a: Evolution of humoral response (anti-RBD IgG BAU/ml) over time in the vaccine group. Panel c: Evolution of humoral response (anti-RBD IgG BAU/ml) over time in the natural COVID-19 infection group. Panel e: Evolution of humoral response (anti-RBD IgG BAU/ml) over time in the group who contracted COVID-19 less than 15 days after the first BNT162b2/Comirnaty injection. Time axis reflects days since symptom onset (natural COVID) or after BNT162b2 vaccine first injection (vaccine group and group who contracted COVID-19 less than 15 days after the first BNT162b2/Comirnaty injection). Arrows under the x axis represent the BNT162b2/Comirnaty injections with its time in days (and its interquartile range) since symptom onset for natural COVID-19 or since first vaccination for the vaccine group and the group who contracted COVID-19 less than 15 days after the first BNT162b2/Comirnaty injection. Boxplots display anti-RBD IgG BAU/ml distribution at 1, 2, and 3 months or during the post-period (first quartile, median, third quartile, and whiskers represent 1.5 times the interquartile range from the first and third quartiles). The confidence interval of the mean (0.95 level) was estimated for each group using the LOESS method to describe the dynamics of the humoral response during the first months. Significant differences between periods were estimated within each group using pairwise non-parametric Kruskal–Wallis tests. Only significant Holm-adjusted p values (p < 0.05) are indicated. Horizontal dashed lines represent the theoretical threshold of protection against COVID-19 as suggested by Dimeglio et al. (141 BAU/ml for protection/vaccine efficacy > 89.3%) and by Feng et al. (165 BAU/ml and 506 BAU/ml for protection/vaccine efficacy of 70% and 80%). Panels b, d, and f: percentage of patients with theoretical protection against COVID-19 = percentage of patients with anti-RBD IgG titers above a protective threshold for each group: b vaccine group, d natural COVID-19, f group who contracted COVID-19 less than 15 days after the first BNT162b2/Comirnaty injection, periods and different theoretical thresholds as defined in panel a
Antibody titers and theoretical protection against COVID-19 among older adults
| Serology at 1 month | Serology at 2 months | Serology at 3 months | Remote serology | ||
|---|---|---|---|---|---|
| Days since first vaccination | 38 (33.5–40.5) | 62 (60.75–64) | 218 (199–224) | ||
| Anti-RBD IgG BAU/ml | |||||
| Theoretical protection = percentage of patients with anti-RBD IgG titers above the following threshold | |||||
| Cut-off anti-RBP total = 141 BAU/ml for protection against SARS-CoV 2 > 89.3% according to Dimeglio et al | |||||
| Cut-off anti-RBD IgG = 165 BAU/ml for vaccine efficacy of 70% according to Feng et al | |||||
| Cut-off anti-RBD IgG = 506 BAU/ml for vaccine efficacy of 80% according to Feng et al | |||||
| 2 BNT162b2/Comirnaty injections 21 days apart | |||||
| Days since first symptom onset (DSO) | 27 (26.5–29) | 68 (65–74) | 91 (90–98) | 293 (288–298) | |
| Days since the second vaccination following COVID infection | 144 (115–182) | ||||
| Anti-RBD IgG BAU/ml | |||||
| Theoretical protection = percentage of patients with anti-RBD IgG titers above the threshold | |||||
| Cut-off anti-RBP total = 141 BAU/ml for protection against SARS-CoV 2 > 89.3% according to Dimeglio et al | |||||
| Cut-off anti-RBD IgG = 165 BAU/ml for vaccine efficacy of 70% according to Feng et al | |||||
| Cut-off anti-RBD IgG = 506 BAU/ml for vaccine efficacy of 80% according to Feng et al | |||||
| Second BNT162b2/Comirnaty injection | |||||
| Days since first vaccination | 29 (28–30) | 69 (64–73) | 260 (251.5–275,5) | ||
| Days since the second vaccination | 138 (131–160) | ||||
| Anti-RBD IgG BAU/ml | |||||
| Theoretical protection = percentage of patients with anti-RBD IgG titers above the threshold | |||||
| Cut-off anti-RBP total = 141 BAU/ml for protection against SARS-CoV 2 > 89.3% according to Dimeglio et al | |||||
| Cut-off anti-RBD IgG = 165 BAU/ml for vaccine efficacy of 70% according to Feng et al | |||||
| Cut-off anti-RBD IgG = 506 BAU/ml for vaccine efficacy of 80% according to Feng et al | |||||
The data are medians (with interquartile range) for the study of anti-RBD IgG titers and for the temporal expression of the parameter studied. The data are effectives for description of sample size. The data are percentages for the expression of theoretical protection of patients with antibody titer above the suggested threshold
Antibody titers according to age, sex, and comorbidities
| Serology at 1 month | Serology at 2 months | Serology at 3 months | Remote serology | ||
|---|---|---|---|---|---|
| Anti-RBD IgG BAU/ml | 620 (217–1874) | 526 (182–945) | 30 (19–58) | ||
| Age < 87, > 87, p | 1152 (202–3069), 579 (282–657), | 812 (235–1580), 317 (155–832), | 51 (31–116), 28 (12–48), | ||
| Age in year, Spearman’s test | |||||
| Sex: female, male, | 620 (197–1652), 1869 (251–3891), | 348 (136–874), 2137 (1168–2406), | 30 (16–48), 44 (23–116), | ||
| Charlson Comorbidity Index < 7, ≥ 7, | 1652 (237–3445), 572 (218–1104), | 898 (553–1972), 314 (136–866), | 36 (28–88), 27 (10–50), | ||
| Charlson Comorbidity Index, Spearman’s test | |||||
| 2 BNT162b2/Comirnaty injections 21 days apart | |||||
| Anti-RBD IgG BAU/ml | 798 (325–1320) | 88 (37–385) | 56 (29–203) | 2048 (471–4386) | |
| Age < 87, > 87, | 798 (387–1483), 708 (309–1146), | 236 (76–389), 26 (7–95), | 66 (36–210), 30 (11–155), | ||
| Age in year, Spearman’s test | |||||
| Sex: female, male, | 622 (243–1207), 1156 (857–1863), | 233 (77–603), 49 (21–113), | 66 (36–205), 29 (19–79), | 2048 (774–4027), 2555 (1425–3684), | |
| Charlson Comorbidity Index < 7, ≥ 7, | 81 (76–1621), 95 (26–371), p = 0,52 | 66 (46–145), 35 (19–211), | 3898 (2446–5350), 1699 (250–3530), | ||
| Charlson Comorbidity Index, Spearman’s test | p = 0,27 | ||||
| Second BNT162b2/Comirnaty injection | |||||
| Anti-RBD IgG BAU/ml | 463 (234–914) | 484 (208–1167) | 898 (437–2824) | ||
| Age < 87, > 87, | 618 (404–1170), 331 (91–489), | 698 (224–1171), 369 (203–1153), | 734 (441–1583), 898 (437–4428), | ||
| Age in year, Spearman’s test | p = 0,35, | ||||
| Sex: female, male, | 406 (221–492, 828 (484–1242), | 369(200–1356), 598 (401–885), | 511 (261–1477), 2250 (813–4405), | ||
| Charlson Comorbidity Index < 7, ≥ 7, | 618 (470–1150), 406 (208–914), | 934 (816–1053), 306 (196–1255), | 909 (734–2256), 705 (312–3237), | ||
| Charlson Comorbidity Index, Spearman’s test | |||||
| Anti-RBD IgG BAU/ml | 564 (236–1417) | 334 (110–945) | 56 (29–203) | 100 (29–813) | |
| Age < 87, > 87, | 742 (265–1874), 523 (205–965), | 380 (121–1268), 278 (110–747), | 66 (36–210), 30 (11–155), | 413 (61–3102), 58 (27–363), | |
| Age in year, Spearman’s test | |||||
| Sex: female, male, | 491 (205–1149), 914 (346–2472), | 359 (120–892), 220 (103–1027), | 66 (36–205), 29 (19–79), | 59 (29–474), 355 (53–1474), | |
| Charlson Comorbidity Index < 7, ≥ 7, | 66 (46–145), 35 (19–211), | 170 (30–909), 87 (27–511), | |||
| Charlson Comorbidity Index, Spearman’s test | |||||
The data are medians (with interquartile range) for the study of anti-RBD IgG titers. The data are effectives for description of sample size. Statistical differences between groups were assessed using non-parametric Mann–Whitney-Wilcoxon test due to non-normal distribution except for the comparisons between remote serology titers and age > < 87 and sex which were performed using parametric Student’s test due to normal distribution assumption. The correlation between quantitative variables was assessed using Spearman’s rank correlations