Serum beta 2-microglobulin, neopterin, immunoglobulins A, G and M, adenosine deaminase and CD4+ lymphocyte count were evaluated as predictors of progression of HIV-1 infection to AIDS. A population of HIV-1 seropositive, initially asymptomatic men (n = 213) and women (n = 101) was followed up quarterly. We estimated the AIDS-free time using the actuarial method (median survival time 47.2 months). Cox proportional hazard analysis revealed that all markers studied were significant (p < 0.05) in relation to progression to AIDS. The best markers for predicting progression to AIDS were, in descending order, CD4+ lymphocyte count, beta 2-microglobulin, IgA, neopterin, IgG, IgM and adenosine deaminase. On stratifying population into four groups (divided at percentiles 25, 50 and 75--from group 1, with values nearest to reference ranges, to group 4, with most abnormal values) we observed statistically significant differences (p < 0.05) for all markers except for adenosine deaminase. The relative risk from the Cox proportional hazards model were used to quantify the effects of the best markers and compared to the risk obtained in group 1. CD4+ lymphocyte count was the best predictor of progression to AIDS. When considering beta 2-microglobulin and CD4+ together, the relative risk in the group with lowest CD4+ cell count (group 4) ranged from 25.6% (with lower beta 2-microglobulin values) to 41.1% (with higher beta 2-microglobulin values). Similar results were obtained when considering neopterin and CD4+ together. The addition of beta 2-microglobulin or neopterin values to CD4+ lymphocyte count improved the predictive value of CD4+ lymphocyte count.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1515/CCLM.1998.031 | DOI Listing |
Cureus
December 2024
General Practice, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, BRA.
Felty's syndrome (FS) is a rare and complex condition most commonly seen as a complication of longstanding rheumatoid arthritis (RA), characterized by a triad of RA, splenomegaly, and neutropenia. Diagnosing FS can be challenging due to its diverse clinical presentations and overlap with other hematologic and autoimmune conditions. We report a 47-year-old male with a history of severe anemia, recurrent blood transfusions, and a chronic leg ulcer.
View Article and Find Full Text PDFInt J Mol Sci
December 2024
Cardiology Department, "Victor Babes" University of Medicine and Pharmacy, 300041 Timisoara, Romania.
Sjögren's syndrome (SS) is a slowly progressive, chronic autoimmune inflammatory condition characterized by the affliction of the exocrine glands, with issues that derive from it markedly decreasing the quality of life of these patients. Salivary gland involvement can be identified through imaging methods. Among them, salivary gland ultrasonography (SGUS) is used as a diagnostic and prognostic tool in pSS.
View Article and Find Full Text PDFNeuroreport
January 2025
Department of Neurology, the Second Affiliated Hospital of Guizhou Medical University, Kaili, Guizhou Province, China.
Nefrologia (Engl Ed)
January 2025
Nephrology Service, University Hospital Reina Sofia, Cordoba-Spain; Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Cordoba, Spain University of Cordoba, Cordoba, Spain; Redes de Investigación Cooperativa Orientadas a Resultados en Salud, RICORS2040, Institute of Health Carlos III, Madrid, Spain; European Uremic Toxins Group (EUTOx). Electronic address:
Biomark Res
January 2025
Department of Hematology, The First Affiliated Hospital of Xiamen University and Institute of Hematology, School of Medicine, Xiamen University, Xiamen, 361003, P.R. China.
Background: Disease progression within 24 months (POD24) significantly impacts overall survival (OS) in patients with follicular lymphoma (FL). This study aimed to develop a robust predictive model, FLIPI-C, using a machine learning approach to identify FL patients at high risk of POD24.
Methods: A cohort of 1,938 FL patients (FL1-3a) from seventeen centers nationwide in China was randomly divided into training and internal validation sets (2:1 ratio).
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!