Total Lymfosit Count (TLC) with CD4 in HIV/AIDS Patients at Kupang

Wuan, Adrianus Ola; Banunu, Ayorince Herlinalt Gloria; Kambuno, Norma Tiku

doi:10.29238/teknolabjournal.v8i2.189

Cited by 3 publications

(4 citation statements)

References 13 publications

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“…TLC has a strong positive correlation with CD4 count with a correlation coefficient of r = 0.767. Similar results were found in the study by Ola Wuan et al 26 involving 121 HIV patients in Kupang, a strong positive correlation was found between TLC and CD4 count (r = 0.799). 26 This finding is also supported by several studies showing that TLC can be a predictor of CD4 levels.…”

Section: Hiv Patients Characteristicssupporting

confidence: 90%

“…Similar results were found in the study by Ola Wuan et al 26 involving 121 HIV patients in Kupang, a strong positive correlation was found between TLC and CD4 count (r = 0.799). 26 This finding is also supported by several studies showing that TLC can be a predictor of CD4 levels. 27,28 The study conducted by Chen et al 26 showed that TLC <1570 cells/mm 3 could be a predictor of CD4 levels <350 cells/mm 3 with a sensitivity of 65% and a specificity of 80%.…”

Section: Hiv Patients Characteristicssupporting

confidence: 90%

“…26 This finding is also supported by several studies showing that TLC can be a predictor of CD4 levels. 27,28 The study conducted by Chen et al 26 showed that TLC <1570 cells/mm 3 could be a predictor of CD4 levels <350 cells/mm 3 with a sensitivity of 65% and a specificity of 80%. 27 This study found a moderate positive correlation between BMI and CD4 count (r = 0.422).…”

Section: Hiv Patients Characteristicssupporting

confidence: 67%

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Neutrophil-to-lymphocyte and Platelet-to-lymphocyte Ratio as Predictors of CD4 Count among People Living with HIV

Hasna,

Sunggoro,

Sri Marwanta

et al. 2024

IJTID

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Human Immunodeficiency Virus (HIV) infection remains a global health concern characterized by the reduction of CD4 lymphocyte cells and weakened immune systems. Knowing the CD4 count and the factors affecting it is crucial for assessing the immune status of HIV patients. Hematological markers, including neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR), have been recognized as prognostic tools that were associated with CD4 Count. The goal of this study was to determine the impact of NLR and PLR on CD4 count among people living with HIV (PLHIV). This study used analytic observational method with a cross-sectional on HIV-positive individuals who were treated at Moewardi Hospital, Surakarta, Indonesia. The Chi-Square and Pearson correlation tests were performed to identify the correlation between variables and the linear regression test was done to investigate the association between NLR and PLR with CD4 count. A total of 80 PLHIV were identified for this study, with the median CD4 count of 103 cells/mm3. NLR and PLR were found to be 3.06 and 181.03, respectively. This study found that opportunistic infection, duration on ARV treatment, body mass index, total lymphocyte count, and hemoglobin were significantly associated with CD4 count. The Pearson correlation test revealed a strong correlation between NLR and PLR to CD4 count. Linear regression analyses showed that NLR and PLR could predict the CD4 count. These findings indicate that NLR and PLR could serve as alternative prognostic parameters for monitoring treatment outcomes in PLHIV, particularly in health facilities where access to CD4 count testing is limited.

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Section: Hiv Patients Characteristicssupporting

confidence: 90%

Section: Hiv Patients Characteristicssupporting

confidence: 90%

Section: Hiv Patients Characteristicssupporting

confidence: 67%

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Neutrophil-to-lymphocyte and Platelet-to-lymphocyte Ratio as Predictors of CD4 Count among People Living with HIV

Hasna,

Sunggoro,

Sri Marwanta

et al. 2024

IJTID

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“…4 When CD4 count is below 200 cells / µL, patient condition has entered the AIDS condition where opportunistic infections frequently occur. 5 There are opportunistic and neoplastic infections that may occur in HIV-infected patients, such as protozoan infections, fungal infections, bacterial infections, and viral infections. 6 Clinical manifestations that often appear in the oral cavity of HIV sufferers include oral candidiasis, periodontal disease, and disorders of salivary glands like xerostomia.…”

Section: Introductionmentioning

confidence: 99%

Correlation of clinical profile toward oral manifestations of HIV/AIDS patients

Apriasari¹,

Aprilyani²,

Carabelly³

et al. 2021

Padjadjaran J Dent

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Introduction: Human Immunodeficiency Virus (HIV) exhibits the capability to weaken human immune system. The infected subject will later be more susceptible to suffer from opportunistic diseases when the CD4 cell count is lesser than 200 cell/µL. Oral Thrush, periodontal disease and xerostomia are common oral manifestations in AIDS patient which initially indicate the presence of HIV infection. No research has been conducted to discuss the association between oral manifestation HIV/AIDS toward socio-demographic and clinical profile of the HIV/AIDS patients. Therefore, this study was aimed to analyse the association between oral manifestation HIV/AIDS toward socio-demographic and clinical profile of the HIV/AIDS patients. Methods: This was an analysis study with cross sectional design performed in 2019. The data of clinical profil of HIV AIDS patient and oral manifestation were obtained from secondary data of medical record.The 55 samples were taken with total sampling technique. Results: Chi-square test showed there was a significant correlation between number of CD4 with candidiasis, oral thrush and periodontal disease. There was a significant correlation between duration of ARV therapy and candidiasis, oral thrush (p<0.05). Conclusion: There is a correlation between the number of CD4 cells and the duration of ARV treatment on candidiasis,oral thrush, periodontal disease and xerostomia.

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