Semiparametric Models for Longitudinal Data with Application to CD4 Cell Numbers in HIV Seroconverters

Biometrics ◽  
1994 ◽  
Vol 50 (3) ◽  
pp. 689 ◽  
Author(s):  
Scott L. Zeger ◽  
Peter J. Diggle
1992 ◽  
Vol 66 (3) ◽  
pp. 1484-1488 ◽  
Author(s):  
G Hoffmann-Fezer ◽  
J Thum ◽  
C Ackley ◽  
M Herbold ◽  
J Mysliwietz ◽  
...  

Author(s):  
Kabtamu Tolosie Gergiso ◽  
Markos Abiso Erango

Background: Globally 36.7 million people living with HIV, 1.8 million new HIV infection, and 1 million AIDS-related deaths in 2016.Patient mortality was high during the first 6 months after therapy for all patient subgroups and exceeded 40 per 100 patient years among patients who started treatment at low CD4 count. The aim this study was to evaluate the trend of CD4 cell count over time and to determine the progress of patient characteristics measured at baseline on CD4 cell count of HIV-infected patients who were under ART treatment in Arba Minch Hospital.  Methods: This study was retrospective follow up study using data extracted from medical records, patient interviews, and laboratory work-up. The study was employed among 550 adult patients that were selected by simple random sampling. The continuous outcome variable CD4 cell count has measured at months 0, 6, 12, 18, and 24. Longitudinal data analysis were used because the set of measurements on one patient tend to be correlated, measurements on the same patient close in time tend to be more highly correlated than measurements far apart in time, and the variability of longitudinal data often changes with time and the data handled through linear mixed effect models. Result: The fitted result of the linear mixed model showed that linear visit time effect and the baseline characteristics education status, condom, tobacco, degree of Disclosure, and weight effects had significant effect on CD4 measurements. Also, the interaction age with linear visit time effect had significant effect on the evolution of CD4 cell count. However, no significant difference between sex, WHO stage, and marital status groups. Conclusion: This study find that the CD4 cell count of HIV/AIDS patients is significantly determined by the visit time, education status, condom, tobacco, degree of Disclosure, and weight effects of patients.


Respiration ◽  
2005 ◽  
Vol 72 (2) ◽  
pp. 160-165 ◽  
Author(s):  
M. Gaga ◽  
G. Papamichalis ◽  
P. Bakakos ◽  
P. Latsi ◽  
I. Samara ◽  
...  
Keyword(s):  

2003 ◽  
Vol 71 (2) ◽  
pp. 956-963 ◽  
Author(s):  
Tammy A. Myers ◽  
Janet E. Leigh ◽  
Alfredo R. Arribas ◽  
Shannon Hager ◽  
Rebecca Clark ◽  
...  

ABSTRACT Oropharyngeal candidiasis (OPC), caused by Candida albicans, is the most frequent opportunistic fungal infection in human immunodeficiency virus (HIV)-positive persons. Although Th1-type CD4+ T cells are considered important for host defense against mucosal C. albicans infections, there is a paucity of information regarding the presence and/or role of T cells in OPC lesions. In pursuit of this, initial chromophore immunohistochemical studies showed a majority of CD8+ rather than CD4+ cells equally distributed throughout the buccal mucosa of OPC− persons (HIV− or HIV+), irrespective of blood CD4+ cell numbers. In contrast, CD8+ cells in lesions from HIV+ OPC+ persons were in significantly higher numbers and concentrated at the lamina propria-epithelium interface, a considerable distance from the Candida at the outer epithelium. Dual fluorescence and confocal microscopy confirmed that the majority of CD8+, but not CD4+, cells were T cells by the presence or absence, respectively, of CD3 on each cell type. These results suggest that CD8+ T cells may be important for oral host defense against OPC, especially when CD4 cell numbers are reduced, with a potential CD8 cell-specific dysfunction associated with susceptibility to OPC.


Sign in / Sign up

Export Citation Format

Share Document