Evidence map›Paper›PMID 38778281›Full record

ArticleBMC nephrology2024

18-month longitudinal SARS COV-2 neutralizing antibody dynamics in haemodialysis patients receiving heterologous 3-dose vaccination (AZD-1222- AZD-1222- BNT162b2) in a lower middle income setting.

Ridma Prasadini Karunathilake, Roshan Athula Kumara, Amali Karunathilaka, Abdul Wahid Mohamed Wazil, Nishantha Nanayakkara, Chandana Keerthi Bandara, Rajitha Asanga Abeysekera, Faseeha Noordeen, Indika Bandara Gawarammana, Champa Neelakanthi Ratnatunga

Abstract read
In one paragraph

Article in BMC nephrology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Ridma Prasadini KarunathilakeDepartment of Microbiology, Faculty of Medicine, University of Peradeniya, Peradeniya, 20400, Sri Lanka.
Roshan Athula KumaraDepartment of Microbiology, Faculty of Medicine, University of Peradeniya, Peradeniya, 20400, Sri Lanka.
Amali KarunathilakaDepartment of Microbiology, Faculty of Medicine, University of Peradeniya, Peradeniya, 20400, Sri Lanka.
Abdul Wahid Mohamed WazilNephrology Unit, National Hospital Kandy, Kandy, 20000, Sri Lanka.
Nishantha NanayakkaraNephrology Unit, National Hospital Kandy, Kandy, 20000, Sri Lanka.
Chandana Keerthi BandaraNephrology Unit, National Hospital Kandy, Kandy, 20000, Sri Lanka.
Rajitha Asanga AbeysekeraDepartment of Medicine, Faculty of Medicine, University of Peradeniya, Peradeniya, 20400, Sri Lanka.
Faseeha NoordeenDepartment of Microbiology, Faculty of Medicine, University of Peradeniya, Peradeniya, 20400, Sri Lanka.
Indika Bandara GawarammanaDepartment of Medicine, Faculty of Medicine, University of Peradeniya, Peradeniya, 20400, Sri Lanka.
Champa Neelakanthi RatnatungaDepartment of Microbiology, Faculty of Medicine, University of Peradeniya, Peradeniya, 20400, Sri Lanka. champa.ratnatunga@med.pdn.ac.lk.

Funding

Kidney Protection Society of Peradeniya (Kandy, Sri Lanka) Research grant - 2022University of Peradeniya, Peradeniya, Sri Lanka. University Research Grant 2023/22/M
6 · The paper itself

Abstract

backgroundPatients with chronic kidney disease on haemodialysis (HD) were given priority COVID-19 vaccination due to increased disease risk. The immune response to COVID-19 vaccination in patients on HD was diminished compared to healthy individuals in 2-dose studies. This study aimed to evaluate seroconversion rate, neutralizing antibody (nAB) levels and longitudinal antibody dynamics to 3-dose heterologous vaccination against COVID-19 in a cohort of HD patients compared to healthy controls and assess patient factors associated with antibody levels.

methodsThis study was a case-control longitudinal evaluation of nAB dynamics in 74 HD patients compared to 37 healthy controls in a low/middle income setting. Corresponding samples were obtained from the two cohorts at time-points (TP) 1-1-month post 2nd dose of AZD1222 vaccine, TP2- 4 months post 2nd dose, TP4- 2 weeks post 3rd dose with BNT162b2 vaccine, TP5-5 months post 3rd dose and TP6-12 months post 3rd dose. Additional data is available at TP0- pre 2nd dose and TP3- 6 months post 2nd dose in HC and HD cohorts respectively. Anti-SARS-CoV-2 nAB were detected using Genscript cPassTM pseudoviral neutralization kit. Demographic and clinical details were obtained using an interviewer administered questionnaire.

resultsCohorts were gender matched while mean age of the HD cohort was 54.1yrs (vs HCs mean age, 42.6yrs, p < 0.05). Percentage seroconverted and mean/median antibody level (MAB) in the HD cohort vs HCs at each sampling point were, TP1-83.7% vs 100% (p < 0.05), MAB-450 IU/ml vs 1940 IU/ml (p < 0.0001); TP2-71.4% vs 100%, (p < 0.001), MAB- 235 IU/ml vs 453 IU/ml, (p < 0.05); TP4-95.2% vs 100% (p > 0.05), MAB-1029 IU/ml vs 1538 IU/ml (p < 0.0001); TP5-100% vs 100%, MAB-1542 IU/ml vs 1741IU/ml (p > 0.05); TP6-100% vs 100%, MAB-1961 IU/ml vs 2911 IU/ml (p > 0.05). At TP2, patients aged < 60 years (p < 0.001) were associated with maintaining seropositivity compared to patients > 60 years.

conclusionTwo dose vaccination of haemodialysis patients provided poor nAB levels which improved markedly following 3rd dose vaccination, the effect of which was long- lasting with high nAB levels in both patients and controls detectable at 1 year follow-up.

Indexed as

Antibodies, NeutralizingAntibodies, ViralBNT162 VaccineCOVID-19COVID-19 VaccinesRenal DialysisSARS-CoV-2AdultAgedCase-Control StudiesFemaleHumansLongitudinal StudiesMaleMiddle AgedRenal Insufficiency, ChronicAntibodies, NeutralizingAntibodies, ViralBNT162 VaccineCOVID-19 VaccinesCOVID-19HaemodialysisLongitudinal follow-upMixed-vaccinationNeutralizing antibody levelsSeroconversion

Identifiers

PMID38778281
PMCPMC11112903

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.