Evidence map›Paper›PMID 41111760›Full record

ArticleCureus2025

Long-Term Outcomes of Chronic Hemodialysis Patients Following SARS-CoV-2 Infection.

Asmaa Bouchari, Fouad Dami, Mariam El Hammouti, Soukaina Ben Driss Alami, Houda Hanafi, Sara El Maakoul, Maryam Assem

Abstract read
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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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

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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

1 citing paper in PubMed.

  1. 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

7 authors.

Asmaa BouchariNephrology Department, Mohammed VI University Hospital, Tangier, MAR.
Fouad DamiNephrology Department, Mohammed VI University Hospital, Tangier, MAR.
Mariam El HammoutiNephrology Department, Mohammed VI University Hospital, Tangier, MAR.
Soukaina Ben Driss AlamiNephrology Department, Mohammed VI University Hospital, Tangier, MAR.
Houda HanafiNephrology Department, Mohammed VI University Hospital, Tangier, MAR.
Sara El MaakoulNephrology Department, Mohammed VI University Hospital, Tangier, MAR.
Maryam AssemNephrology Department, Mohammed VI University Hospital, Tangier, MAR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe COVID-19 pandemic has had a significant impact on patients undergoing chronic hemodialysis (CHD). Several studies have explored the long-term outcomes of CHD patients who recovered from SARS-CoV-2 infection. This study aims to identify the factors associated with persistent symptoms (long COVID) among CHD patients.

methodsWe conducted a multicenter, descriptive, and analytical cohort study across nine hemodialysis centers (public, private, and nonprofit) in the city of Tangier. Data were collected through interviews with patients and a review of their medical records. Statistical analysis was performed using IBM SPSS Statistics version 25.

resultsAmong 945 CHD patients, 163 had a documented SARS-CoV-2 infection, with a median age of 55 years (interquartile range (IQR): 43-67). The most frequently reported post-infection symptoms were fatigue (62%), anxiety (53%), arthralgia (40%), cough (33%), weight loss (29%), sleep perturbations (28%), anosmia (30%), dyspnea (25%), anorexia (24%), dysgeusia (18%), and concentration difficulties (16%). After adjusting for diabetes, obesity, oxygen therapy, hospitalization, and use of hydroxychloroquine or corticosteroids, diabetes emerged as the main factor for long COVID (OR = 3.8; 95% CI (1.5-9.6); p = 0.004). Fatigue was significantly associated with diabetes (OR = 2.9; 95% CI (1.3-6.5); p = 0.01) and female gender (OR = 2.1; 95% CI (1.02-4.2); p = 0.04). Anxiety was linked to diabetes (OR = 2.6; 95% CI (1.2-5.5); p = 0.01) and obesity (OR = 2.5; 95% CI (1.01-6.4); p = 0.04). Dyspnea was associated with obesity (OR = 4.0; 95% CI (1.4-10.4); p = 0.004).

conclusionOur study highlights the substantial prevalence of persistent post-COVID-19 symptoms among CHD patients. The findings emphasize the necessity of individualized long-term care in this high-risk group.

Indexed as

chronic hemodialysiscovid-19long covidrisk factorssymptoms

Identifiers

PMID41111760
PMCPMC12533787

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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.