scholarly journals A Markov Model to Estimate Mortality Due to HIV/AIDS Using Viral Load Levels-Based States and CD4 Cell Counts: A Principal Component Analysis Approach

2018 ◽  
Vol 7 (4) ◽  
pp. 457-471 ◽  
Author(s):  
Claris Shoko ◽  
Delson Chikobvu ◽  
Pascal O. Bessong
Keyword(s):  
Principal Component Analysis ◽  
Viral Load ◽  
Markov Model ◽  
Principal Component ◽  
Component Analysis ◽  
Analysis Approach ◽  
Cell Counts ◽  
Cd4 Cell Counts ◽  
Cd4 Cell ◽  
Hiv Aids

scholarly journals Factors associated with prognostic or treatment outcomes in HIV/AIDS patients with and without hypertension in Eswatini

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Sabelo Bonginkosi Dlamini ◽  
Hans-Uwe Dahms ◽  
Ming-Tsang Wu
Keyword(s):  
Viral Load ◽  
P Value ◽  
Aids Patients ◽  
Large Hospital ◽  
Hypertensive Patients ◽  
Factors Associated ◽  
Cell Counts ◽  
Cd4 Cell Counts ◽  
Cd4 Cell ◽  
Hiv Aids

AbstractNon-communicable diseases are increasing faster in HIV/AIDS patients than in the general population. We studied the association between hypertension and other possible confounding factors on viral load and CD4-cell counts in hypertensive and non-hypertensive HIV/AIDS patients receiving antiretroviral therapy (ART) at a large hospital in Eswatini over a 4-year period. We performed a retrospective longitudinal review of the medical records of 560 ART patients divided into non-hypertension and hypertension groups (n = 325 and n = 235) from July 27 to September 8, 2018. Generalized Estimated Equation was used to analyze the longitudinal data. Hypertensive patients were more likely to have improved CD4-cell counts than non-hypertensive patients (OR = 1.83, [1.37–2.44]). ART patients with hypertension were more likely to have detectable viral loads, though not significant (OR = 1.37 [0.77–2.43]). In non-hypertensive patients, second line ART was significantly associated with viral load (OR = 8.61 [2.93–25.34]) and adverse side effects (OR = 3.50 [1.06–11.54]), while isoniazid preventive therapy was significantly associated with CD4-cell counts (OR = 1.68 [1.16–2.45]). In hypertensive patients, factors associated with viral load were WHO HIV stage (OR = 2.84 [1.03–7.85]) and adherence (OR = 8.08 [1.33–49.04]). In both groups, CD4-cell counts significantly and steadily increased over time (p-value < 0.001). Results show a significant association between hypertension and CD4 cell counts but not viral load. In ART patients with and without hypertension, the factors associated with prognostic markers were different. More attention may need to be paid to ART patients with well controlled HIV status to monitoring and controlling of hypertension status.

Component Analysis: An Aid to the Interpretation of Data

1969 ◽  
Vol 5 (2) ◽  
pp. 151-164 ◽  
Author(s):  
D. A. Holland
Keyword(s):  
Principal Component Analysis ◽  
Statistical Study ◽  
Principal Component ◽  
Component Analysis ◽  
Linear Functions ◽  
Analysis Approach ◽  
Specific Technique ◽  
Mathematical Technique ◽  
Biological Concepts ◽  
General Component

SummaryPrincipal component analysis is a mathematical technique for summarizing a set of related measurements as a set of derived variates, frequently fewer in number, which are definable as independent linear functions of the original measurements. Consideration of their mathematical nature shows that they do not, themselves, necessarily correspond to sensible biological concepts, though they are more amenable to statistical study than the original measurements. Further, by assessing the extent to which they are in accordance with biological hypotheses, or with the results of other, similar, analyses, they can be transformed into other linear functions which are meaningful in the biological sense, or consistent with other results. Thus the specific technique of principal component analysis is developed into a more general component analysis approach. With proper regard for the purpose the analysis is intended to serve and for the mathematical restrictions involved, this approach can lead to a useful condensation of a mass of data, a better under-standing of the observed individuals as entities rather than collections of isolated measurements, and to the formulation of new hypotheses for subsequent examination.

Characteristics allelic of Human Leukocyte Antigen class I genotype and association with viral load and CD4 cell count in HIV-1 infected patients, Hanoi 2014 – 2016

2021 ◽  
Vol 31 (4) ◽  
pp. 43-50
Author(s):  
Tran Thi Minh Tam ◽  
Nguyen Thuy Linh ◽  
Phan Ha My ◽  
Nguyen Thi Lan Anh
Keyword(s):  
Viral Load ◽  
Human Leukocyte ◽  
Hla Class I ◽  
Class I ◽  
Cd4 Cell Count ◽  
Leukocyte Antigen ◽  
Cell Counts ◽  
Cd4 Cell Counts ◽  
Cd4 Cell ◽  
Hiv 1

Human Leukocyte Antigen (HLA) class I plays a regulatory role in cellular immune response to HIV-1 infection. The role of HLA alleles in HIV progression via viral load and CD4 cell count is well known. HLA class I is polymorphic and distributed differently by nation. This descriptive cross-sectional study was performed on 303 HIV-1 infected patients in 2014 - 2016, with aims to (i) characterize HLA class I genotype with 4-digit nomenclature and (ii) identify specifc alleles in correlate with CD4 cell counts and HIV viral load. 117 allele genotypes have been identifed, including 28 HLA-A alleles, 54 HLA-B alleles and 35 HLA-C alleles. The results showed that the most prevalent alleles in the population include A*11:01 (30.7%), B*15:02 (15.2%) and C*08:01 (17.1%). The frequency of haplotype created from these alleles is 8.4%. A*02:03, B*46:01 related to gender and ethnicity respectively. In conclusion, the study provided detailed pattern of HLA class I expression in a study population of HIV-1 infected patients and reported for the frst time the associated B*51:01, C*14:02 alleles associated to an increase in CD4 cell counts.

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