| Literature DB >> 35318291 |
Alessandra Fucci1, Simona Giacobbe1, Ilaria Guerriero1, Yoko Suzumoto1, Egildo Luca D'Andrea1, Marianna Scrima1, Maria Luisa Nolli1, Anna Iervolino1,2, Luigi Amedeo Chiuchiolo3, Ermanno Salvatore4, Roberta Renzulli5, Ludovico La Peccerella6, Giuseppe Marra7, Marco Liuzzi8, Domenico Santoro9, Enrico Zulli9, Romolo Gentile9, Gennaro Clemente10, Giovambattista Capasso1,2.
Abstract
INTRODUCTION: Since the pandemic of COVID-19 started from December 2019, remarkable numbers of infections and deaths associated with COVID-19 have been recorded worldwide. End-stage kidney disease patients on dialysis are particularly at high risk of infections due to impairments in the innate and adaptive immune systems. Vaccination on dialysis patients (DP) still remains challenging because of the variable response and a low seroconversion rate compared with healthy participants (HP). Therefore, it is urgently necessary to establish a different vaccination strategy for DP, in terms of the dose and administration time.Entities:
Keywords: Booster; Dialysis; Severe acute respiratory syndrome coronavirus 2; Vaccination
Mesh:
Substances:
Year: 2022 PMID: 35318291 PMCID: PMC9148885 DOI: 10.1159/000524034
Source DB: PubMed Journal: Kidney Blood Press Res ISSN: 1420-4096 Impact factor: 3.096
Characteristics of the study population
| DP | HP | |
|---|---|---|
| Individuals, | 155 | 77 |
| Age, years, median (range) | 72 (69–75) | 58 (56–60) |
| Male, % | 67 | 51 |
| Day of dialysis per week, median | 3 | – |
| Dialysis vintage, median year (range) | 3 (2–6) | – |
| Dialysis vintage ≤4 years | 99 | – |
| Dialysis vintage >4 years | 56 | – |
| Type of dialysis | ||
| BIC-HD | 115 | – |
| Online HDF | 40 | – |
| Cause of kidney failure, | ||
| Primary and secondary glomerulopathies | 23 (14.8) | – |
| Diabetes and metabolic diseases | 43 (27.7) | – |
| Polycystic kidney and hereditary diseases | 21 (13.5) | – |
| Interstitial nephropathies | 5 (3.2) | – |
| Pyelonephritis | 4 (2.6) | – |
| Nephroangiosclerosis | 29 (18.7) | – |
| Unknown | 30 (19.4) | – |
BIC-HD, standard bicarbonate hemodialysis; HDF, hemodiafiltration.
Fig. 1Violin plot showing the semiquantitative IgG levels measured in DP and HP at the indicated time points. Violin plot lines: median and interquartile ranges; Y-axis dotted line: 0.120 corresponding to the positivity cutoff. AU, arbitrary units.
Seroconversion rate in HP and DP in response to mRNA vaccine BNT162b2 at different DPV
| DPV | |||||||
|---|---|---|---|---|---|---|---|
| 0–15 | 16–21 | 22–32 | 33–45 | 46–60 | 61–120 | >120 | |
| Seroconversion in HP, % | 25 | 74 | 100 | 100 | 100 | 100 | 100 |
| Seroconversion in DP, % | 9 | 18 | 39 | 75 | 76 | 74 | 63 |
Fig. 2Bar plot summarizing the absolute IgG Levels measured in DP and HP. Data are reported as median values (ng/mL) ± CI95 as obtained by interpolation with the standard curve. ****p < 0.0001.
Fig. 3Bar plot showing the IgG levels in DP after second and third doses of vaccine. Data are reported as median values (ng/mL) ± CI95. ****p < 0.0001.
Spearman correlation analyses for sex, age, dialysis vintage, and dialysis type on IgG levels in DP
| 0–15 (DPV) | 16–21 (DPV) | 22–32 (DPV) | 33–45 (DPV) | 46–60 (DPV) | 61–120 (DPV) | >120 (DPV) | 30–60 (DPB) | |
|---|---|---|---|---|---|---|---|---|
| Sex (male vs. female) | –0.200 | –0.208* | 0.239 | –0.096 | –0.065 | 0.004 | 0.062 | –0.057 |
| Age (≤60 vs. > 60) | 0.017 | –0.037 | –0.207 | –0.254** | –0.180 | –0.188* | –0.277** | –0.118 |
| Dialysis vintage (≤4 years vs. > 4 years) | 0.035 | 0.059 | –0.433* | 0.032 | 0.059 | –0.182* | –0.013 | 0.027 |
| Dialysis type (BIC-HD vs. HDF) | –0.151 | 0.086 | 0.058 | –0.035 | –0.078 | –0.055 | –0.073 | –0.006 |
Correlation coefficient (rho) at different time points are shown. BIC-HD, standard bicarbonate hemodialysis; HDF, hemodiafiltration; DPB, days postbooster. * p value <0.05. ** p value <0.01.