ArticleEBioMedicine2026
Factors associated with severe COVID-19 in immunocompromised subgroups in England from 2020 to 2024: an OpenSAFELY cohort study.
Article in EBioMedicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIndividuals with compromised immune systems are particularly vulnerable to COVID-19. Although several studies have assessed factors associated with COVID-19-related hospitalisation and mortality in the general population, few studies have focused specifically on immunocompromised populations.
methodsWith the approval of NHS England, we conducted a cohort study using the OpenSAFELY platform covering successive waves of COVID-19 (wave 1, alpha, delta, omicron BA.1/BA.2, JN.1). In each wave, we included adults in five hierarchically assigned immunocompromised subgroups: solid organ transplant (SOT); bone marrow compromise (BMC); active radio- or chemo-therapy (RCT); active immunosuppressive medication (IMM); and primary or acquired immunodeficiency (IMD). In each subgroup, we estimated wave-specific rates of severe COVID-19-related outcomes and relative hazards according to vaccination status, sociodemography (age, ethnicity, deprivation), and comorbidities, as determined at the start of the wave.
findingsWe included between 475,360 (BA.1/BA.2 wave) and 508,545 (JN.1 wave) immunocompromised individuals per wave. Across successive waves, individuals with SOT, BMC, or RCT exhibited higher rates of severe COVID-19 than those with IMM or IMD. Compared with being unvaccinated in the past 26 weeks, vaccination in the 12 weeks preceding the start of a wave was associated with a consistent reduction in severe COVID-19, albeit with a smaller effect size among SOT recipients relative to other subgroups. Though attenuated compared to earlier waves, this association persisted during JN.1 dominance (adjusted hazard ratios of 0.88 [95% CI 0.60-1.30] for SOT, 0.64 [95% CI 0.53-0.77] for BMC, 0.68 [95% CI 0.44-1.03] for RCT, 0.68 [95% CI 0.52-0.88] for IMM, and 0.68 [95% CI 0.55-0.82] for IMD). Older age and increased comorbidity count were strongly associated with increased risk of severe COVID-19 across subgroups and waves.
interpretationThe risk of COVID-19 varies substantially within and across immunocompromised subgroups. The presence of other comorbidities was strongly associated with the risk of severe COVID-19 across successive waves. Primary vaccination and successive booster doses were associated with a consistent reduction in severe COVID-19 in this high-risk population, including during the JN.1 wave.
fundingNational Institute for Health and Care Research (NIHR) Health Protection Research Unit in Vaccines and Immunisation (NIHR200929/NIHR207408).
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.