Evidence map›Paper›PMID 38370992›Full record

ArticleCureus2024

Assessment of COVID-19 Morbidity and Mortality Among Patients With Autoimmune Diseases at King Abdulaziz University Hospital.

Abdullah Altuwairqi, Abdulah H Ali, Abdulaziz A Alariefy, Sami Bahlas, Samer K AlZahrani, Essam W Zarei, Adnan E Alshaikh, Ahmed H Khan, Abdullah A Attar

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 32% of its field
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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
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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

9 authors at 1 institution in 1 country.

Abdullah AltuwairqiDepartment of Orthopaedics, King Abdulaziz University Hospital, Jeddah, SAU.
Abdulah H AliDepartment of Medicine, King Abdulaziz University Faculty of Medicine, Jeddah, SAU.
Abdulaziz A AlariefyDepartment of Medicine, King Abdulaziz University Faculty of Medicine, Jeddah, SAU.
Sami BahlasDepartment of Medicine/Rheumatology, King Abdulaziz University Faculty of Medicine, Jeddah, SAU.
Samer K AlZahraniDepartment of Medicine, King Abdulaziz University Faculty of Medicine, Jeddah, SAU.
Essam W ZareiDepartment of Medicine, King Abdulaziz University Faculty of Medicine, Jeddah, SAU.
Adnan E AlshaikhDepartment of Medicine, King Abdulaziz University Faculty of Medicine, Jeddah, SAU.
Ahmed H KhanDepartment of Medicine, King Abdulaziz University Faculty of Medicine, Jeddah, SAU.
Abdullah A AttarDepartment of Medicine, King Abdulaziz University Faculty of Medicine, Jeddah, SAU.
King Abdulaziz University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background The coronavirus disease 2019 (COVID-19) pandemic has raised significant concerns about the effects of the virus on patients with autoimmune diseases. Therefore, understanding the COVID-19 outcomes in this population is crucial for effective prevention and management. Objective This study aimed to investigate the association between autoimmune diseases and the severity of COVID-19 in terms of mortality and morbidity. Despite substantial advancements in pandemic-related research concerning COVID-19 and autoimmune diseases, there remain noteworthy gaps in our comprehension of this association, particularly due to limited investigations conducted in Saudi Arabia. Methods This was a retrospective record review of a tertiary center from January 2020 to January 2022. We included 120 patients, among whom 40 were diagnosed with autoimmune diseases, and 80 were age- and sex-matched controls. Afterward, we assessed their demographics, year of admission, intensive care unit (ICU) admission, health status, length of hospitalization, comorbidities, diagnosis of autoimmune diseases, and type of immunosuppressant therapy. Results Most of the included patients (mean age: 45.4 years) were females (65.8%). The ratio of non-autoimmune diseases to autoimmune diseases was 2:1, the mean length of hospitalization was 8.83 ± 8.16 days, and the median was seven days (interquartile range (IQR) = 3 to 11 days). Among them, 17.5% were admitted to the ICU and 10% died. The prevalence of autoimmune diseases was higher in women than in men (77.5%). The most common diseases were systemic lupus erythematosus (40%), rheumatoid arthritis (20%), and ankylosing spondylitis (10%). Regarding COVID-19 outcomes, ICU admissions were higher among patients with autoimmune diseases than those with non-autoimmune diseases (35% vs. 8.8%) (p<0.05). This trend was also observed in mortality, with a higher percentage of deaths among patients with autoimmune diseases (27.5% vs. 1.7%) (p<0.05). In addition, there were no significant differences between genders in terms of ICU admission, health status outcomes, or length of hospitalization among patients with autoimmune diseases (p>0.05). Notably, 25 patients were administered immunosuppressants. Of these, 18 (72%) used steroids only, while seven (28%) used both biological and steroid therapy. However, no significant associations were observed between the type of treatment used and outcomes such as ICU admission, health status at discharge, and length of hospitalization (p>0.05).  Conclusion This study suggests that individuals with autoimmune diseases have more severe COVID-19 outcomes, as shown by ICU admission and mortality rates, than patients with non-autoimmune diseases. Furthermore, we observed that the use of immunosuppressant medications among patients with autoimmune diseases showed no noticeable effect on these outcomes.

Indexed as

autoimmune diseasescovid-19immunosuppressantsrheumatoid arthritissystemic lupus erythematosus

Identifiers

PMID38370992
PMCPMC10874129
OpenAlexW4391043748

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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 OpenQuestion graph.