Evidence map›Paper›PMID 42396310›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Differential COVID-19 Outcomes Across Lysosomal Disorders.

Blake K Byer, Zachary Butzin-Dozier, Brenda M McGrath, Joseph Muenzer, Lorne Clarke, Melissa A Haendel, Shawn T O'Neil

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Blake K ByerDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States.ORCID 0009-0002-1597-2198
Zachary Butzin-DozierDepartment of Pediatrics, Stanford University School of Medicine, Stanford, California, United States.ORCID 0000-0001-6419-0008
Brenda M McGrathOCHIN, Portland, Oregon, United States.ORCID 0000-0003-4208-1059
Joseph MuenzerDepartment of Pediatrics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States.ORCID 0000-0002-4035-6592
Lorne ClarkeDepartment of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada.ORCID 0000-0003-0512-7281
Melissa A HaendelDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States.ORCID 0000-0001-9114-8737
Shawn T O'NeilDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States.ORCID 0000-0001-6220-7080

Funding

Improvements to the LinkML framework to support the Phenomics First open science resourceRM1HG010860 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HAENDEL, MELISSA A, MUNGALL, CHRISTOPHER J · 2020 to 2024
$10.3M
NHGRI NIH HHS RM1 HG010860
6 · The paper itself

Abstract

Background: Lysosomal disorders (LDs) are a heterogeneous group of rare inherited disorders characterized by multi-system involvement and high comorbidity burden, which raises concerns about severe COVID-19 outcomes. Conversely, because SARS-CoV-2 relies on endolysosomal pathways for cellular entry and replication, certain LDs may exert a protective effect against viral pathogenesis. Prior clinical evidence investigating LDs and severe SARS-CoV-2 infection has been limited by small sample sizes and inconsistent findings. Therefore, to resolve these conflicting biological hypotheses and estimate population-level outcomes, we conducted a large-scale retrospective cohort study using nationwide U.S. harmonized electronic health record data from the National Clinical Cohort Collaborative (N3C). This design utilized longitudinal records starting January 1, 2018, to evaluate COVID-19 infections captured between January 1, 2020, and July 11, 2024. Results: The study included 16,380 individuals, comprising 5,460 patients with lysosomal disorders and 10,920 matched controls. Patients with LDs had significantly higher odds of COVID-19 hospitalization compared with controls (OR = 1.86, 95% CI: 1.70-2.04). Elevated odds were observed across the evaluated categories, but varied substantially. Notably, neurodegenerative LDs such as neuronal ceroid lipofuscinosis (OR = 9.32) and metachromatic leukodystrophy (OR = 2.33) remained associated with hospitalization after adjustment for comorbidities. Contrarily, the elevated odds for Fabry disease and Gaucher disease were no longer significant after adjustment. Mortality among hospitalized patients with LDs was comparable to that of matched controls (one-year survival: 82.1% vs 82.0%), suggesting that LD status does not independently worsen survival once hospitalization occurs. Conclusions: Patients with LDs were at an increased odds of COVID-19 hospitalization, driven by a combination of elevated comorbidity burden and disorder-specific effects, which vary significantly across LD categories. This study clarifies that excess risk is concentrated in the transition to hospitalization. These patients may thus require personalized clinical care to mitigate the negative consequences of COVID-19.

Indexed as

comorbidity burdencomputable phenotypingCOVID-19 severityelectronic health recordsinborn errors of metabolismLysosomal disordersmultiple correspondence analysisretrospective cohort study

Identifiers

PMID42396310
PMCPMC13321181

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.