| Literature DB >> 35562589 |
A Rodríguez-Galet1, M Rubio-Garrido1, A Valadés-Alcaraz1, M Rodríguez-Domínguez2,3, J C Galán2,3, A Ndarabu4, G Reina5, A Holguín6,7.
Abstract
Child vaccination reduces infant mortality rates. HIV-infected children present higher risk of diseases than non-infected. We report the protection coverage rates for 6 vaccine-preventable diseases in a paediatric population from the Democratic Republic of the Congo (DRC) and the impact of HIV infection, providing the first data on the validity of dried blood samples (DBS) to monitor the immune protection. During 2016-2018 DBS from 143 children/adolescents were collected in Kinshasa (DRC), being 52 HIV-infected. Forty-two had a paired plasma sample. Protective IgG was quantified (VirClia-IgG,VIRCELL) to obtain the optimal cut-off in IgG detection in DBS. ROC curves were generated with R software and statistical analyses with Stata. Protective IgG levels varied across pathogens, not reaching herd immunity. HIV-infected presented lower vaccine protection than uninfected for all analyzed pathogens, except rubella, with statistically significant differences for measles (30.8% vs. 53.8%; p = 0.008) and tetanus (3.8% vs. 22%; p = 0.0034). New cut-offs were calculated when using DBS to improve test performance. We reinforce the necessity to increase pediatric vaccination coverage in Kinshasa, especially in HIV seropositive, with less capacity to maintain adequate antibody levels. DBS were useful to monitor vaccination coverage in seroprevalence studies in resource-limited settings, after optimizing the cut-off value for each pathogen.Entities:
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Year: 2022 PMID: 35562589 PMCID: PMC9106688 DOI: 10.1038/s41598-022-12052-4
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.996
VirClia-IgG (VIRCELL) cut-off values for plasma/serum.
| Semi-quantitative (IU/ml) | Qualitative (index) | |||||
|---|---|---|---|---|---|---|
| Pertussis | Diphtheria | Tetanus | Measles | Mumps | Rubella | |
| Positive | > 120 | ≥ 0.1 Max. protection | > 0.2 | 1.1 | 1.1 | 1.1 |
0.01–0.09 Basic protection | ||||||
| Indeterminated | 60–120 | – | 0.1–0.2 | 0.9–1.1 | 0.9–1.1 | 0.9–1.1 |
| Negative | < 60 | < 0.01 | < 0.1 | < 0.9 | < 0.9 | < 0.9 |
IU International units, ml Millilitre, Max. protec. Maximum. Data according to technical files provided by VIRCELL.
Characteristics of the study population from Kinshasa (DRC).
| With paired DBS/plasma | Only with DBS | Total | |
|---|---|---|---|
| Total available samples | 42 (100) | 101 (100) | 143 (100) |
| Male gender | 19 (45.2) | 56 (55.4) | 75 (52.4) |
| Median age at sampling [IQR] | 14 [12−17] | 9 [3–12.8] | 11 [5–14] |
| < 1 | 1 (2.4) | 18 (17.8) | 19 (13.3) |
| ≥ 1–5 | 0 | 12 (11.9) | 12 (8.4) |
| > 5–10 | 5 (11.9) | 22 (21.8) | 27 (18.9) |
| > 10–15 | 16 (38.1) | 32 (31.7) | 48 (33.5) |
| > 15 | 18 (42.9) | 16 (15.8) | 34 (23.8) |
| Unknown | 2 (4.7) | 1 (1) | 3 (2.1) |
| HIV+ | 38 (90.5) | 14 (13.9) | 52 (36.4) |
| HIV− | 4 (9.5) | 87 (86.1) | 91 (63.6) |
| ARV experience | 39 (92.9) | 23 (22.8) | 75 (52.4) |
| ≥ 1000 cp/ml | 31 (73.8) | 11 (10.9) | 42 (29.4) |
| HIV+ | 17 (40.5) | 43 (42.6) | 60 (41.9) |
| HIV− | 4 (9.5) | 24 (23.7) | 28 (19.6) |
| Unknown | 21 (50) | 34 (33.7) | 55 (38.5) |
Information extracted from clinical files. DRC The Democratic Republic of the Congo, DBS Dried blood samples, IQR Interquartile range, ART Antiretroviral treatment, VL HIV-1 Viral load; Viral load quantified by Cobas®v2.0 (ROCHE), limit of quantification 20cp/ml. Age in years. cp/ml, HIV-1 RNA copies per millilitre of plasma corrected from the DBS cp/dot considering the patient’s haematocrit[22].
Figure 1Pathogen immunity in 42 paediatric and adolescents from Kinshasa with available plasma (A) or DBS (B) considering the VIRCELL cut-off.
Results of VirClia-IgG test for the detection of protective IgG against six pathogens responsible for vaccine-preventable diseases using dried blood samples from 42 paediatric patients.
| MEASLES | MUMPS | RUBELLA | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Sen | Spe | PPV | NPV | Sen | Spe | PPV | NPV | Sen | Spe | PPV | NPV | |||||
| PLASMA | > 1.1 | > 1.1 | > 1.1 | 99% | ||||||||||||
| DBS with PLASMA cut-off | > 1.1 | 81.8% | 40% | 71% | 54.6% | > 1.1 | 7.7% | 70.7% | > 1.1 | 97.4% | 0% | 92.7% | 0% | 0% | ||
| DBS | Max Sen | ≥ 0.73 | 13.3% | 67.5% | > 1.1 | 7.7% | 70.7% | > 1.04 | 0% | 95% | 0% | |||||
| Max Esp | ≥ 2.83 | 55.6% | 55.6% | ≥ 6.18 | 37.9% | 100% | 41.9% | ≥ 3.97 | 43.6% | 12% | ||||||
| Optimal Sen and Spe | ≥ 2.7 | 59.3% | 93% | 94% | 56% | ≥ 5.19 | 55.2% | 76.9% | 84% | 43% | ≥ 1.84 | 92.3% | 66.7% | 97.3% | 40% | |
IU International units, ml Millilitre, PPV Positive predictive value, NPV Negative predictive value, DBS Dried blood spots sample, Max Maximum, Sen Sensitivity, Spe Specificity. The cut-offs provided by VIRCELL for plasma have been taken as reference (see Table 1).
100% values are in bold.
Figure 2Pathogen immunity in 42 children and adolescents from Kinshasa with paired plasma/DBS considering different cut-offs. The plasma cut-off provided by VIRCELL for each pathogen is shown in Table 1. Options A and B, with the VIRCELL cut-off according to Table 1. Options C and D, with the maximum specificity or optimum cut-offs calculated for each pathogen, as indicated in Table 3. Statistically significant differences found: *p = 0.01–0.03; **p = 0.001–0.003; ***p < 0.0001.
Figure 3Comparison of the percentage of patients with pathogen immunity in the study population (42 plasmas vs. 143 DBS) using the optimal and maximum specificity cut-offs. The plasma cut-off provided by VIRCELL for each pathogen is shown in Table 1. The optimal or maximum specificity cut-offs calculated for each pathogen are indicated in Table 3. Statistically significant differences found: *p = 0.01–0.03; **p = 0.001–0.003; ***p < 0.0001.
Figure 4Percentage of patients with pathogen immunity according to the HIV status in 143 children and adolescents using DBS and cut-off of maximum specificity (A) and optimal (B). HIV+ , HIV-infected patients; HIV−, HIV-uninfected patients; % patients with protective IgG, percentage protection of patients against each of the 6 pathogens according to their reactive IgG levels. With asterisks, statistically significant differences found: **p = 0.00095, ***p = 0.0004, ****p < 0.0001.