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Khan NH, Verma C, Beg MMA, Kumar SN, Kaushik G, Ahmad H, Osmonaliev K, Kumar V. Evolution of Hematobiochemical Profiles in Newly Diagnosed HIV Patients and HIV-TB Co-Infected Patients: Correlation with Immunological and Virological Status. Immunotargets Ther 2024; 13:691-705. [PMID: 39678140 PMCID: PMC11645950 DOI: 10.2147/itt.s495295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2024] [Accepted: 12/06/2024] [Indexed: 12/17/2024] Open
Abstract
Background CD4+ cells, HIV-1 plasma viral load (PVL), and IFN-γ have been observed to enhance susceptibility in TB infection/reactivation among HIV-1 infected people, leading to unusual clinical manifestations. HIV-TB co-infection is significant for immunological and virological response, making it a great clinical challenge for patient management. The objective of this study was to explore the correlation among various hematological and biochemical profiles with CD4+ count and PVL in order to decipher mechanisms of TB development or reactivation in HIV-infected patients. Methods In this cross-sectional study, we included 200 newly diagnosed treatment naïve HIV-1 infected patients, of which 118 were HIV-TB co-infected and 82 were HIV-alone. The CD4+ T count was determined using the BD FACS Count System, and the plasma HIV-1 viral load was estimated using the Abbott m2000 real-time platform. The hematobiochemical testing was performed on fully-automated analyzer ADVIA® 560 and Cobas® 501 Roche Diagnostics. Statistical software SPSS-2, Spearman correlation analysis was used for data analysis and a P-value less than 0.05 was considered statistically significant. Results Declined hemoglobulin level positively correlated with CD4 counts (r = 0.229; p = 0.001), and a negative correlation was observed with HIV-1 plasma viral load (r = -0.171; p = 0.016). Moreover, the CD4+ count and HIV-1 plasma viral load (PVL) were also correlated to anomalies such as thrombocytopenia, leucopenia, eosinophils, neutrophils, ESR, potassium, Albumin, globulin, SGOT, uric acid. Studies also found significantly higher absolute neutrophil count, ESR, and serum fasting blood sugar, creatine, uric acid, total bilirubin, globulin, and alkaline phosphatase in HIV-TB co-infected patients. Conclusion and Recommendation The initial value of Hb, ESR, absolute neutrophil counts, serum calcium, uric acid, and potassium can be used as an early indicator for active tuberculosis (TB) and as a substitute marker for the course of HIV disease, especially in areas with low resources.
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Affiliation(s)
- Nawaid Hussain Khan
- Faculty of Medicine, Ala-Too International University, Bishkek, Kyrgyz Republic
- All India Institute of Medical Sciences, New Delhi, 110029, India
| | - Chaitenya Verma
- Department of Biotechnology, School of Engineering and Technology, Sharda University, Grater Noida, India
| | | | - Shashi Nandar Kumar
- Department of Occupational and Environmental Health, Faculty of Pharmaceutical Sciences, Tokyo University of Science, Noda, 278-8510, Japan
| | - Gaurav Kaushik
- School of Allied Health Sciences, Sharda University, Greater Noida, Uttar Pradesh, India
| | - Hafiz Ahmad
- Department of Medical Microbiology and Immunology, RAK (Ras Al Khaimah) Medical and Health Sciences University, Ras Al Khaimah, United Arab Emirates
| | | | - Vinay Kumar
- Pennsylvania State University Hershey Medical Center, 500 University Dr, Heshey, PA, USA
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Liang B, Sun R, Liao Y, Nong A, He J, Qin F, Ou Y, Che J, Wu Z, Yang Y, Qin J, Cai J, Bao L, Ye L, Liang H. CD4/CD8 Ratio Recovered as a Predictor of Decreased Liver Damage in Adults Infected With HIV: 16-Year Observational Cohort Study. JMIR Public Health Surveill 2024; 10:e45818. [PMID: 37846087 PMCID: PMC10806443 DOI: 10.2196/45818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 08/23/2023] [Accepted: 10/17/2023] [Indexed: 10/18/2023] Open
Abstract
BACKGROUND As the life expectancy of individuals infected with HIV continues to increase, vigilant monitoring of non-AIDS-related events becomes imperative, particularly those pertaining to liver diseases. In comparison to the general population, patients infected with HIV experience a higher frequency of liver-related deaths. The CD4/CD8 ratio is emerging as a potential biomarker for non-AIDS-related events. However, few existing studies have been specially designed to explore the relationship between the CD4/CD8 ratio and specific types of non-AIDS-related events, notably liver damage. OBJECTIVE This study aimed to investigate the potential association between the CD4/CD8 ratio and the development of liver damage in a sizable cohort of patients infected with HIV receiving antiretroviral treatment (ART). Additionally, the study sought to assess the effectiveness of 3 antiretroviral drugs in recovering the CD4/CD8 ratio and reducing the occurrence of liver damage in this population. METHODS We conducted an observational cohort study among adults infected with HIV receiving ART from 2004 to 2020 in Guangxi, China. Propensity score matching, multivariable Cox proportional hazard, and Fine-Gray competing risk regression models were used to determine the relationship between the CD4/CD8 ratio recovered and liver damage. RESULTS The incidence of liver damage was 20.12% among 2440 eligible individuals during a median follow-up period of 4 person-years. Patients whose CD4/CD8 ratio did not recover to 1.0 exhibited a higher incidence of liver damage compared to patients with a CD4/CD8 ratio recovered (adjusted hazard ratio 7.90, 95% CI 4.39-14.21; P<.001; subdistribution hazard ratio 6.80, 95% CI 3.83-12.11; P<.001), findings consistent with the propensity score matching analysis (adjusted hazard ratio 6.94, 95% CI 3.41-14.12; P<.001; subdistribution hazard ratio 5.67, 95% CI 2.74-11.73; P<.001). The Efavirenz-based regimen exhibited the shortest time for CD4/CD8 ratio recovery (median 71, IQR 49-88 months) and demonstrated a lower prevalence of liver damage (4.18/100 person-years). CONCLUSIONS Recovery of the CD4/CD8 ratio was associated with a decreased risk of liver damage in patients infected with HIV receiving ART, adding evidence for considering the CD4/CD8 ratio as a potential marker for identifying individuals at risk of non-AIDS-related diseases. An efavirenz-based regimen emerged as a recommended choice for recovering the CD4/CD8 ratio and mitigating the risk of liver damage.
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Affiliation(s)
- Bingyu Liang
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, China
- Biosafety III Laboratory, Life Science Institute, Guangxi Medical University, Nanning, China
| | - Rujing Sun
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, China
| | - Yanyan Liao
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, China
- Biosafety III Laboratory, Life Science Institute, Guangxi Medical University, Nanning, China
| | - Aidan Nong
- HIV/AIDS prevention department, Chongzuo Center for Disease Control and Prevention, Chongzuo, China
| | - Jinfeng He
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, China
| | - Fengxiang Qin
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, China
| | - Yanyun Ou
- HIV/AIDS prevention department, Chongzuo Center for Disease Control and Prevention, Chongzuo, China
| | - Jianhua Che
- HIV/AIDS prevention department, Chongzuo Center for Disease Control and Prevention, Chongzuo, China
| | - Zhenxian Wu
- HIV/AIDS prevention department, Chongzuo Center for Disease Control and Prevention, Chongzuo, China
| | - Yuan Yang
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, China
- Biosafety III Laboratory, Life Science Institute, Guangxi Medical University, Nanning, China
| | - Jiao Qin
- HIV/AIDS prevention department, Chongzuo Center for Disease Control and Prevention, Chongzuo, China
| | - Jie Cai
- HIV/AIDS prevention department, Chongzuo Center for Disease Control and Prevention, Chongzuo, China
| | - Lijuan Bao
- HIV/AIDS prevention department, Chongzuo Center for Disease Control and Prevention, Chongzuo, China
| | - Li Ye
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, China
- Biosafety III Laboratory, Life Science Institute, Guangxi Medical University, Nanning, China
| | - Hao Liang
- Guangxi Key Laboratory of AIDS Prevention and Treatment, School of Public Health, Guangxi Medical University, Nanning, China
- Biosafety III Laboratory, Life Science Institute, Guangxi Medical University, Nanning, China
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Zhang W, Yan J, Luo H, Wang X, Ruan L. Incomplete immune reconstitution and its predictors in people living with HIV in Wuhan, China. BMC Public Health 2023; 23:1808. [PMID: 37716975 PMCID: PMC10505310 DOI: 10.1186/s12889-023-16738-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Accepted: 09/11/2023] [Indexed: 09/18/2023] Open
Abstract
OBJECTIVE This study aimed to build and validate a nomogram model to predict the risk of incomplete immune reconstitution in people living with HIV (PLWH). METHODS Totally 3783 individuals with a confirmed diagnosis of HIV/AIDS were included. A predictive model was developed based on a retrospective set (N = 2678) and was validated using the remaining cases (N = 1105). Univariate and multivariate logistic regression analyses were performed to determine valuable predictors among the collected clinical and laboratory variables. The predictive model is presented in the form of a nomogram, which is internally and externally validated with two independent datasets. The discrimination of nomograms was assessed by calculating the area under the curve (AUC). Besides, calibration curve and decision curve (DCA) analyses were performed in the training and validation sets. RESULTS The final model comprised 5 predictors, including baseline CD4, age at ART initiation, BMI, HZ and TBIL. The AUC of the nomogram model was 0.902, 0.926, 0.851 in the training cohort, internal validation and external cohorts. The calibration accuracy and diagnostic performance were satisfactory in both the training and validation sets. CONCLUSIONS This predictive model based on a retrospective study was externally validated using 5 readily available clinical indicators. It showed high performance in predicting the risk of incomplete immune reconstitution in people living with HIV.
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Affiliation(s)
- Wenyuan Zhang
- Department of Infectious Diseases, Wuhan Jinyintan Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, 430023, Hubei, China
- Hubei Clinical Research Center for Infectious Diseases, Wuhan, 430023, Hubei, China
- Wuhan Research Center for Communicable Disease Diagnosis and Treatment, Chinese Academy of Medical Sciences, Wuhan, 430023, Hubei, China
- Joint Laboratory of Infectious Diseases and Health, Wuhan Institute of Virology and Wuhan Jinyintan Hospital, Chinese Academy of Sciences, Wuhan, 430023, Hubei, China
| | - Jisong Yan
- Hubei Clinical Research Center for Infectious Diseases, Wuhan, 430023, Hubei, China
- Wuhan Research Center for Communicable Disease Diagnosis and Treatment, Chinese Academy of Medical Sciences, Wuhan, 430023, Hubei, China
- Joint Laboratory of Infectious Diseases and Health, Wuhan Institute of Virology and Wuhan Jinyintan Hospital, Chinese Academy of Sciences, Wuhan, 430023, Hubei, China
- Department of Respiratory and Critical Care Medicine, Wuhan Jinyintan Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, 430023, Hubei, China
| | - Hong Luo
- Hubei Clinical Research Center for Infectious Diseases, Wuhan, 430023, Hubei, China
- Wuhan Research Center for Communicable Disease Diagnosis and Treatment, Chinese Academy of Medical Sciences, Wuhan, 430023, Hubei, China
- Joint Laboratory of Infectious Diseases and Health, Wuhan Institute of Virology and Wuhan Jinyintan Hospital, Chinese Academy of Sciences, Wuhan, 430023, Hubei, China
- Department of Respiratory and Critical Care Medicine, Wuhan Jinyintan Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, 430023, Hubei, China
| | - Xianguang Wang
- Hubei Clinical Research Center for Infectious Diseases, Wuhan, 430023, Hubei, China.
- Wuhan Research Center for Communicable Disease Diagnosis and Treatment, Chinese Academy of Medical Sciences, Wuhan, 430023, Hubei, China.
- Joint Laboratory of Infectious Diseases and Health, Wuhan Institute of Virology and Wuhan Jinyintan Hospital, Chinese Academy of Sciences, Wuhan, 430023, Hubei, China.
- Department of Respiratory and Critical Care Medicine, Wuhan Jinyintan Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, 430023, Hubei, China.
| | - Lianguo Ruan
- Department of Infectious Diseases, Wuhan Jinyintan Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, 430023, Hubei, China.
- Hubei Clinical Research Center for Infectious Diseases, Wuhan, 430023, Hubei, China.
- Wuhan Research Center for Communicable Disease Diagnosis and Treatment, Chinese Academy of Medical Sciences, Wuhan, 430023, Hubei, China.
- Joint Laboratory of Infectious Diseases and Health, Wuhan Institute of Virology and Wuhan Jinyintan Hospital, Chinese Academy of Sciences, Wuhan, 430023, Hubei, China.
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