Evidence map›Paper›PMID 41810370›Full record

ArticlemedRxiv : the preprint server for health sciences2026

The age paradox in post-infectious sequelae: physiological reserve outweighs chronological age in Long COVID susceptibility.

Alaleh Azhir, Jingya Cheng, Jiazi Tian, Ingrid V Bassett, Chirag J Patel, Jeffrey G Klann, Shawn N Murphy, Hossein Estiri

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

8 authors.

Alaleh AzhirDepartment of Medicine, Massachusetts General Hospital, Boston, MA, USA.
Jingya ChengDepartment of Medicine, Massachusetts General Hospital, Boston, MA, USA.
Jiazi TianDepartment of Medicine, Massachusetts General Hospital, Boston, MA, USA.ORCID 0000-0003-0599-3438
Ingrid V BassettDepartment of Medicine, Massachusetts General Hospital, Boston, MA, USA.
Chirag J PatelDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
Jeffrey G KlannDepartment of Medicine, Massachusetts General Hospital, Boston, MA, USA.
Shawn N MurphyDepartment of Neurology, Massachusetts General Hospital, Boston, MA, USA.
Hossein EstiriDepartment of Medicine, Massachusetts General Hospital, Boston, MA, USA.

Funding

Temporal Phenotypes and Risk Models for the Post-COVID Syndrome and its sub-typesR01AI165535 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI Hossein Estiri, SHAWN N MURPHY · 2022 to 2026
$4.1M
NIAID NIH HHS R01 AI165535
6 · The paper itself

Abstract

Background: Older age is widely considered a risk factor for post-acute sequelae of SARS-CoV-2 infection (PASC), typically attributed to immunosenescence and inflammaging. However, whether this association reflects intrinsic biological ageing or accumulated comorbidity burden remains unclear, with implications for clinical risk stratification. Methods: We conducted a retrospective cohort study using the Precision PASC Research Cohort (P2RC) from Mass General Brigham, comprising 133,792 COVID-19 patients from 12 hospitals and 20 community health centres in Massachusetts (March 2020-May 2024). PASC was ascertained using a validated computational phenotyping algorithm. We used generalised estimating equations with cluster-robust variance to model PASC risk, causal mediation analysis to decompose age effects through comorbidity burden and acute severity, and specification curve analysis across 768 analytical specifications to assess robustness. Findings: After adjustment for comorbidity burden, each decade of age was associated with 6% lower odds of PASC (OR 0.94; 95% CI 0.93-0.95). Causal mediation analysis revealed that comorbidities accounted for 145% of the total age effect, indicating inconsistent mediation wherein age's direct protective effect was masked by its indirect harm through chronic disease accumulation. This protection was age-dependent: adults younger than 65 years retained robust resilience independent of comorbidities (ADE: -0.0042, p<0.001), whereas adults 65 years and older showed complete loss of this protection (ADE: +0.0020, p=0.14). Interpretation: Long COVID susceptibility is driven by physiological reserve rather than chronological age until approximately age 65, beyond which age-related protective mechanisms become exhausted. Risk stratification should prioritise comorbidity burden over birth year in younger adults. Funding: National Institute of Allergy and Infectious Diseases (NIAID).

Indexed as

BiostatisticsElectronic Health RecordsEpidemiologic StudiesPost-acute sequelae of SARS-CoV-2risk factorsSARS-COV-2

Identifiers

PMID41810370
PMCPMC12970358

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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.