| Literature DB >> 35175577 |
Ori Wand1,2, Naomi Nacasch2,3, Ayman Fadeela4, Moshe Shashar5,6, Ayelet Grupper2,7, Sydney Benchetrit2,3, Daniel Erez2,8, Pnina Shitrit2,9, Keren Cohen-Hagai10,11.
Abstract
INTRODUCTION: Breakthrough COVID-19 may occur in vaccinated people, and may result from declining vaccine effectiveness or highly transmittable SARS-CoV-2 variants, such as the B.167.2 (delta) variant. We investigated risk factors and outcomes for infection with the delta variant among vaccinated hemodialysis patients.Entities:
Keywords: BNT162b2 vaccine; Breakthrough COVID-19 infection; Maintenance hemodialysis; SARS-CoV-2 variant
Mesh:
Substances:
Year: 2022 PMID: 35175577 PMCID: PMC8852959 DOI: 10.1007/s40620-022-01245-9
Source DB: PubMed Journal: J Nephrol ISSN: 1121-8428 Impact factor: 4.393
Baseline clinical and laboratory characteristics of study groups
| Characteristic | Study group (n = 24) | Control group (n = 91) | p value |
|---|---|---|---|
| Age (years) | 70.3 ± 15 | 70.9 ± 14.3 | 0.8 |
| Male sex | 19 (79.2) | 58 (63.7) | 0.1 |
| Dialysis vintage (months) | 29.6 ± 19.3 | 30.8 ± 25.1 | 0.8 |
| Weight (kg) | 75.4 ± 13.6 | 77.8 ± 19.9 | 0.6 |
| Diabetes mellitus | 14 (58.3) | 59 (64.8) | 0.6 |
| Hypertension | 20 (83.3) | 73 (80.2) | 0.7 |
| Ischemic heart disease | 13 (54.2) | 31 (34.1) | 0.07 |
| Heart failure | 12 (50) | 29 (31.9) | 0.09 |
| Peripheral vascular disease | 2 (8.3) | 9 (9.9) | 0.8 |
| Chronic lung disease | 3 (12.5) | 12 (13.2) | 0.9 |
| Solid malignancy | 0 (0%) | 3 (3.3) | 0.4 |
| Hematologic malignancy | 4 (16.7) | 2 (2.2) | |
| Chronic immunosuppressive therapy | 7 (29.2) | 6 (6.6) | |
| Creatinine (mg/dL) | 7.2 ± 2.5 | 7.1 ± 2.3 | 0.8 |
| White blood cell count (K/µL) | 7.8 ± 3.2 | 6.3 ± 1.9 | |
| Absolute neutrophils (K/µL) | 5.3 ± 2.5 | 4.2 ± 1.5 | |
| Absolute lymphocytes (K/µL) | 1.4 ± 0.5 | 1.4 ± 0.6 | 0.7 |
| Neutrophil to lymphocyte ratio | 4.4 ± 2.8 | 3.6 ± 2 | 0.1 |
| Hemoglobin (g/dL) | 10.7 ± 1.1 | 10.6 ± 1.2 | 0.7 |
| Albumin (g/dL) | 3.6 ± 0.4 | 3.6 ± 0.4 | 0.6 |
| Kt/V | 1.41 ± 0.26 | 1.28 ± 0.22 | 0.091 |
| Urea reduction ratio | 69.6 ± 5.4 | 66.7 ± 6.7 | 0.203 |
| Serum IgG S titer (AU/mL) | 89.1 ± 114.5 | 533.7 ± 726.8 | 0.111 |
Data are presented as mean ± SD or as absolute numbers (%). Laboratory tests were taken at dialysis initiation as part of routine follow-up of MHD patients
Bold values represent statistically significant results p < 0.05
Multivariate logistic regression analysis model for predictors of COVID-19 infection
| Variable | OR | 95% CI | p value | |
|---|---|---|---|---|
| Lower | Upper | |||
| Sex (male) | 1.8 | 0.6 | 5.9 | 0.3 |
| Ischemic heart disease | 1.8 | 0.6 | 5 | 0.3 |
| Heart failure | 2.6 | 0.9 | 7.3 | 0.08 |
| Hematologic malignancy | 2.6 | 0.3 | 27.8 | 0.4 |
| Immunosuppressive therapy | 4.8 | 0.9 | 25.8 | 0.06 |
Fig. 1Box plot of baseline IgG anti-S titer. Mean IgG anti-S level in the study group was 89.1 ± 114.5 AU/ml vs. 533.7 ± 726.8 AU/ml in the control group, p = 0.1. Median (range) was 40 (0–324) and 204.5 (0–3,496), respectively. IgG anti-S titer is shown in logarithmic scale. The medians are marked by horizontal lines inside the boxes. Error bars represent the range between minimum and maximum points in each group. IgG anti-S, antibodies targeting SARS-CoV-2 spike protein
Clinical presentation and outcomes of COVID-19 breakthrough infection
| Clinical manifestation | N (%) |
|---|---|
| Asymptomatic | 6 (25) |
| Fever | 14 (58.3) |
| Cough | 13 (54.2) |
| Dyspnea | 7 (29.2) |
| Loss of taste and smell | 1 (4.2) |
| Gastrointestinal symptoms | 0 |
| Nausea | 2 (8.3) |
| Fatigue | 6 (25) |
| White blood cell count (K/µL) | 6.7 ± 4 |
| Platelets (K/µL) | 169 ± 52 |
| Neutrophil to lymphocyte ratio | 6 ± 3.9 |
| C-reactive protein (mg/dL) | 6.7 ± 5.9 |
| Ferritin (µg/L) | 785 ± 516 |
| Albumin (g/dl) | 3.3 ± 0.5 |
Data are presented as mean ± SD or as absolute numbers (%)
Fig. 2Maximum COVID-19 severity. Six patients (25%) were asymptomatic throughout COVID-19 infection, 7 were classified as mild-moderate disease (29%), 7 were classified as severe and 4 (17%) as critical COVID-19 infection
Fig. 3Kaplan–Meier survival curve from 1 June, 2021 (p = 0.002)
Multivariate logistic regression analysis model for predictors of mortality
| Variable | Odds ratio | 95% confidence interval | p value | |
|---|---|---|---|---|
| Lower | Upper | |||
| COVID-19 infection | 7.6 | 1.4 | 41 | |
| Diabetes mellitus | 0.6 | 0.1 | 3.4 | 0.6 |
| Ischemic heart disease | 0.6 | 0.1 | 3.7 | 0.6 |
| Heart failure | 7.4 | 1 | 54 | |
Bold values represent statistical significance