Influenza vaccination of patients with systemic lupus erythematosus (SLE) and rheumatoid arthritis (RA).

Clin Dev Immunol

Bezhanijska Kosa University Medical Center, Belgrade University, Serbia.

Published: February 2007

The role of influenza vaccination in patients suffering from autoimmune diseases, including systemic lupus erythematosus (SLE) and rheumatoid arthritis (RA), has long been a subject of discussion. The risk of exacerbation of the main disease following vaccination is of particular concern, and needs to be carefully evaluated against the risk of disease flares as a result of infections. Our study included 69 SLE patients and 54 RA patients, all in stable condition. We split the groups into two subgroups each: patients in SLE1 (23 patients) and RA1 (23 patients) received the flu vaccine ("Vaxigrip", Aventis Pasteur) in November 2003. Patients in SLE2 (46 patients) and RA2 (31 patients) were not vaccinated. Throughout the following year, we studied parameters of disease activity and the occurrence of viral respiratory and bacterial infections in our patients. The vaccine was well tolerated in all cases. Vaccinated patients had significantly fewer occurrences of infections. Every viral and bacterial infection resulted in the worsening of the main disease. We believe that influenza vaccine is indicated for SLE and RA patients in stable condition. However, this decision must be made on a patient-by-patient basis. We plan to continue our study with the goal of formulating a better protocol for the clinical practice.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2270765PMC
http://dx.doi.org/10.1080/17402520600800820DOI Listing

Publication Analysis

Top Keywords

patients
13
influenza vaccination
8
vaccination patients
8
systemic lupus
8
lupus erythematosus
8
erythematosus sle
8
sle rheumatoid
8
rheumatoid arthritis
8
main disease
8
sle patients
8

Similar Publications

Although radiotherapy techniques are the primary treatment for head and neck cancer (HNC), they are still associated with substantial toxicity, and side effect. Machine learning (ML) based radiomics models for predicting toxicity mostly rely on features extracted from pre-treatment imaging data. This study aims to compare different models in predicting radiation-induced xerostomia and sticky saliva in both early and late stage of HNC patients using CT and MRI image features along with demographics and dosimetric information.

View Article and Find Full Text PDF

Purpose: Adherence to home rehabilitation following total knee arthroplasty (TKA) is essential to reach optimal functional outcomes, especially in fast-track procedures. The aim of this study is to identify which sociodemographic and health factors significantly affect adherence in this context.

Methods: This is a secondary analysis of a randomized controlled trial with 52 patients.

View Article and Find Full Text PDF

In the fields of engineering, science, technology, and medicine, artificial intelligence (AI) has made significant advancements. In particular, the application of AI techniques in medicine, such as machine learning (ML) and deep learning (DL), is rapidly growing and offers great potential for aiding physicians in the early diagnosis of illnesses. Depression, one of the most prevalent and debilitating mental illnesses, is projected to become the leading cause of disability worldwide by 2040.

View Article and Find Full Text PDF

Background: In difficult colorectal cases, surgeons may opt for a hand-assisted laparoscopic (HALS) colectomy or attempt a laparoscopic surgery that may require an unplanned conversion to open (LCOS). We aimed to compare the clinical outcomes of these 2 types of surgeries.

Methods: Colectomies for acute diverticulitis with a HALS or LCOS surgery were selected from the American College of Surgeons (ACS) National Surgical Quality Improvement Program (NSQIP) 2022 Targeted Colectomy Database.

View Article and Find Full Text PDF

Background: Thyroid nodules classified cytologically as low-risk indeterminate lesions (TIR3A) on fine-needle aspiration biopsy (FNAB) present a clinical challenge due to their uncertain malignancy risk. This single-center study aimed to evaluate the natural history of TIR3A nodules.

Materials And Methods: FNABs performed between July 2017 and December 2019 were retrospectively retrieved and patients with TIR3A nodules were evaluated at baseline and throughout a follow-up based on ultrasound (US) parameters and clinical data.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!