Epidemiology and Health

Original Articles

Predictors of tuberculosis and human immunodeficiency virus co-infection: a case-control study: Leila Molaeipoor, Jalal Poorolajal, Minoo Mohraz, Nader Esmailnasab; Epidemiol Health. 2014;36:e2014024. Published online October 30, 2014; DOI: https://doi.org/10.4178/epih/e2014024

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Abstract

OBJECTIVES
The human immunodeficiency virus (HIV) and Mycobacterium tuberculosis co-infection is a major global challenge. It is not clear why some HIV-positive people are co-infected with tuberculosis (TB) while others are not. This study addressed that question.

METHODS

This case-control study was conducted in Tehran, Iran in June 2004, enrolling 2,388 HIV-positive people. Cases were selected from those who were co-infected with TB and controls from those without TB. Multiple logistic regression analysis was performed to assess the association between M. tuberculosis/HIV co-infection and several predictors. Odds ratios (ORs) and their 95% confidence intervals (CIs) were calculated.

RESULTS

In this study, 241 cases were compared with 2,147 controls. Sex, age, marital status, educational level, imprisonment, smoking, narcotic use, route of HIV transmission, previous TB infection, isoniazid preventive therapy (IPT), antiretroviral therapy (ART), and low CD4 count (<350 cells/mm3) were independently associated with M. tuberculosis/HIV co-infection (p<0.001). However, after adjusting for all other variables in the model, only the association between M. tuberculosis/HIV co-infection and the following predictors remained statistically significant: imprisonment (odds ratio [OR], 3.82; 95% confidence interval [CI], 2.11-6.90), previous TB infection (OR, 5.54; 95% CI, 1.99-15.39), IPT (OR, 0.13; 95% CI, 0.06-0.31), ART (OR, 1.81; 95% CI, 1.26-2.61), and CD4 count <350 cells/mm3 (OR, 2.34; 95% CI, 1.36-4.02).

CONCLUSIONS

Several predictors are associated with M. tuberculosis/HIV co-infection, but only a few indicators were significantly associated with M. tuberculosis/HIV co-infection. It is estimated that a number of predictors of M. tuberculosis/HIV co-infection remain unknown and require further investigation.

Summary

Citations

Citations to this article as recorded by

Joint Modeling of Longitudinal Outcome and Competing Risks: Application to HIV/AIDS Data
Khadijeh Najafi Ghobadi, Hossein Mahjub, Jalal Poorolajal, Ebrahim Shakiba, Kaivan Khassi, Ghodratollah Roshanaei
Journal of Research in Health Sciences.2023; 23(1): e00571. CrossRef
Clinico-epidemiological Determinants of Tuberculosis Co-infection among Adults Attending an Antiretroviral Centre at a Tertiary Care Hospital in Madhya Pradesh
Preeti Gupta, Akanksha Tomar, Manoj Bansal, Rajesh Kumar Gupta
Journal of Medical Evidence.2023; 4(3): 220. CrossRef
The Occurrence of Tuberculosis Infection among Newly HIV Diagnosed Patient in Indonesia
Rengga Rusfa Gumilang, Dwi Wahyu Indriati, Diyantoro Diyantoro, Aliyah Siti Sundari
Open Access Macedonian Journal of Medical Sciences.2022; 10(A): 893. CrossRef
Effect of Isoniazid Prophylaxis Therapy on the Prevention of Tuberculosis Incidence and Associated Factors Among HIV Infected Individuals in Northwest Ethiopia: Retrospective Cohort Study
Mulat Addis Beshaw, Shitaye Alemu Balcha, Ayenew Molla Lakew
HIV/AIDS - Research and Palliative Care.2021; Volume 13: 617. CrossRef
EFFICIENCY OF TREATMENT OF THE FIRST DETECTED TUBERCULOSIS DEPENDING ON THE HIV STATUS IN THE TUBERCULOSIS INSTITUTION OF THE FEDERAL PENITENTIARY SERVICE
V. S. Borovitsky
HIV Infection and Immunosuppressive Disorders.2020; 12(1): 83. CrossRef
Determinants of Active Tuberculosis Occurrences after ART Initiation among Adult HIV-Positive Clients in West Showa Zone Public Hospitals, Ethiopia: A Case-Control Study
Gerbaba Guta Nugus, Mergitu Eliyas Irena
Advances in Public Health.2020; 2020: 1. CrossRef
Predictors of tuberculosis infection among adults visiting anti-retroviral treatment center at east and west Gojjam, northwest, Ethiopia, 2017
Habtamu Belew, Moges Wubie, Getaye Tizazu, Abebaw Bitew, Tesfa Birlew
BMC Infectious Diseases.2020;[Epub] CrossRef
Bayesian Spatial Survival Analysis of Duration to Cure among New Smear-Positive Pulmonary Tuberculosis (PTB) Patients in Iran, during 2011–2018
Eisa Nazar, Hossein Baghishani, Hassan Doosti, Vahid Ghavami, Ehsan Aryan, Mahshid Nasehi, Saeid Sharafi, Habibollah Esmaily, Jamshid Yazdani Charati
International Journal of Environmental Research and Public Health.2020; 18(1): 54. CrossRef
Correlation Between Clinical Manifestation and Radiological Findings In Pulmonary Tuberculosis-Human Immunodeficiency Virus Coinfection Patients In Sanglah Hospital, Bali, Indonesia
Putu Satyakumara Upadhana, Haikal Hamas Putra Iqra, I Gusti Agung Ayu Chintya Cahyarini, I Ketut Agus Somia, Pande Putu Yuli Anandasari
Current HIV Research.2020; 18(6): 426. CrossRef
THE EFFECTIVENESS OF THE TREATMENT OF TUBERCULOSIS, COMBINED WITH HIV INFECTION IN THE TB FACILITY OF THE FEDERAL PENITENTIARY SERVICE, DEPENDING ON THE TYPE OF DRUG RESISTANCE OF THE PATHOGEN
V. S. Borovitsky
HIV Infection and Immunosuppressive Disorders.2019; 11(3): 64. CrossRef
Multistate recursively imputed survival trees for time-to-event data analysis: an application to AIDS and mortality post-HIV infection data
Leili Tapak, Michael R. Kosorok, Majid Sadeghifar, Omid Hamidi
BMC Medical Research Methodology.2018;[Epub] CrossRef
Identifying risk factors for progression to AIDS and mortality post-HIV infection using illness-death multistate model
Omid Hamidi, Leili Tapak, Jalal Poorolajal, Payam Amini
Clinical Epidemiology and Global Health.2017; 5(4): 163. CrossRef
Treatment outcome of new smear positive pulmonary tuberculosis patients in Hamadan, Iran: A registry-based cross-sectional study
Salman Khazaei, Jafar Hassanzadeh, Shahab Rezaeian, Ebrahim Ghaderi, Somayeh Khazaei, Abdollah Mohammadian Hafshejani, Hamid Salehiniya, Ali Zahiri
Egyptian Journal of Chest Diseases and Tuberculosis.2016; 65(4): 825. CrossRef
Survival rate of AIDS disease and mortality in HIV-infected patients: a meta-analysis
J. Poorolajal, E. Hooshmand, H. Mahjub, N. Esmailnasab, E. Jenabi
Public Health.2016; 139: 3. CrossRef
Predictors of Tuberculosis in HIV/AIDS Patients Referred to Behavioral Diseases Consultation Center: A Registry-Based Study in Abadan, Southwest of Iran
Salman Khazaei, Leila Molaeipoor, Shahab Rezaeian, Erfan Ayubi, Mehran Yari, Ali Asghar Valipour, Somayeh Khazaei
Shiraz E-Medical Journal.2016;[Epub] CrossRef
Prisoners co‐infected with tuberculosis and HIV: a systematic review
Chantal L Edge, Emma J King, Kate Dolan, Martin McKee
Journal of the International AIDS Society.2016;[Epub] CrossRef
Predictors of human immunodeficiency virus and tuberculosis co-infection
Venkataramana Kandi
Epidemiology and Health.2015; 37: e2015007. CrossRef

Estimation of the Frequency of Intravenous Drug Users in Hamadan City, Iran, Using the Capture-recapture Method: Salman Khazaei, Jalal Poorolajal, Hossein Mahjub, Nader Esmailnasab, Mohammad Mirzaei; Epidemiol Health. 2012;34:e2012006. Published online October 31, 2012; DOI: https://doi.org/10.4178/epih/e2012006

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104 Download
6 Crossref

Abstract PDF

Abstract

<sec><title>OBJECTIVES</title>The number of illicit drug users is prone to underestimation. This study aimed to use the capture-recapture method as a statistical procedure for measuring the prevalence of intravenous drug users (IDUs) by estimating the number of unknown IDUs not registered by any of the registry centers.</sec><sec><title>METHODS</title>This study was conducted in Hamadan City, the west of Iran, in 2012. Three incomplete data sources of IDUs, with partial overlapping data, were assessed including: (a) Volunteer Counseling and Testing Centers (VCTCs); (b) Drop in Centers (DICs); and (c) Outreach Teams (ORTs). A log-linear model was applied for the analysis of three-sample capture-recapture results. Two information criteria were used for model selection including Akaike's Information Criterion and the Bayesian Information Criterion.</sec><sec><title>RESULTS</title>Out of 1,478 IDUs registered by three centers, 48% were identified by VCTCs, 32% by DICs, and 20% by ORTs. After exclusion of duplicates, 1,369 IDUs remained. According to our findings, there were 9,964 (95% CI, 6,088 to 17,636) IDUs not identified by any of the centers. Hence, the real number of IDUs is expected to be 11,333. Based on these findings, the overall completeness of the three data sources was around 12% (95% CI, 7% to 18%).</sec><sec><title>CONCLUSION</title>There was a considerable number of IDUs not identified by any of the centers. Although the capture-recapture method is a useful and practical approach for estimating unknown populations, due to the assumptions and limitations of the method, the results must be interpreted with caution.</sec>

Summary

Citations

Citations to this article as recorded by

The prevalence of opioid use disorder in Kentucky’s counties: A two-year multi-sample capture-recapture analysis
Katherine Thompson, Joshua A. Barocas, Chris Delcher, Jungjun Bae, Lindsey Hammerslag, Jianing Wang, Redonna Chandler, Jennifer Villani, Sharon Walsh, Jeffery Talbert
Drug and Alcohol Dependence.2023; 242: 109710. CrossRef
Estimating the Population Size of Female Sex Worker Population in Tehran, Iran: Application of Direct Capture–Recapture Method
Manoochehr Karami, Salman Khazaei, Jalal Poorolajal, Alireza Soltanian, Mansour Sajadipoor
AIDS and Behavior.2017; 21(8): 2394. CrossRef
Using the capture-recapture method to estimate the human immunodeficiency virus-positive population
Jalal Poorolajal, Younes Mohammadi, Farzad Farzinara
Epidemiology and Health.2017; 39: e2017042. CrossRef
Estimation of perinatal mortality rate for institutional births in Rajasthan state, India, using capture-recapture technique
P. K. Mony, B. Varghese, T. Thomas
BMJ Open.2015; 5(3): e005966. CrossRef
Estimating the size of the population of persons who inject drugs in the island of Montréal, Canada, using a six-source capture–recapture model
Pascale Leclerc, Alain C. Vandal, Aïssatou Fall, Julie Bruneau, Élise Roy, Suzanne Brissette, Chris Archibald, Nelson Arruda, Carole Morissette
Drug and Alcohol Dependence.2014; 142: 174. CrossRef
Heterogeneity and behavioral response in continuous time capture–recapture, with application to street cannabis use in Italy
Alessio Farcomeni, Daria Scacciatelli
The Annals of Applied Statistics.2013;[Epub] CrossRef

The Burden of Premature Mortality in Hamadan Province in 2006 and 2010 Using Standard Expected Years of Potential Life Lost: A Population-based Study: Jalal Poorolajal, Nader Esmailnasab, Jamal Ahmadzadeh, Tahereh Azizi Motlagh; Epidemiol Health. 2012;34:e2012005. Published online August 31, 2012; DOI: https://doi.org/10.4178/epih/e2012005

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125 Download
10 Crossref

Abstract PDF

Abstract

<sec><title>OBJECTIVES</title>Examining the premature death rate represents the first step in estimating the overall burden of disease, reflecting a full picture of how different causes affect population health and providing a way of monitoring and evaluating population health. The present study was conducted to assess the burden of premature mortality in Hamadan Province, Iran in 2006 and 2010.</sec><sec><title>METHODS</title>To calculate years of potential life lost (YPLL), the dataset was categorized into 5-year age groups based on each person's age at death. Then the age groups were subtracted from the relevant age-based life table produced by the World Health Organization in 2009. The YPLL for each individual were then added together to yield the total YPLL for all individuals in the population who died in a particular year. Finally, we calculated the YPLL for all sex-, age-, and cause-specific mortality rates and reported them as percentages.</sec><sec><title>RESULTS</title>We analyzed 18,786 deaths, 9,127 of which occurred in 2006 and 9,659 in 2010. Mortality rates were higher in men than women for all age groups both in 2006 and 2010. In addition, age-specific mortality rates in both genders for all age groups were higher in 2010 than in 2006. The percentage of YPLL from ischemic heart diseases, cerebrovascular diseases, transport accidents, and intentional self-harm were among the greatest sources of premature death.</sec><sec><title>CONCLUSION</title>The results of the present survey indicate that the eight major causes of premature death in both 2006 and 2010 were non-communicable diseases, especially ischemic heart diseases, cerebrovascular diseases, transport accidents, and intentional self-harm. Furthermore, our findings indicate a change in the role of non-communicable diseases in premature mortality in recent years.</sec>

Summary

Citations

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Habibollah Azarbakhsh, Mohammad Hossein Sharifi, Jafar Hassanzadeh, Rebecca Susan Dewey, Maryam Janfada, Alireza Mirahmadizadeh
International Journal of Diabetes in Developing Countries.2023; 43(4): 574. CrossRef
Premature Death, Underlying Reasons, and Preventive Experiences in Iran: A Narrative Review
Iman Razeghian-Jahromi, Yasin Ghasemi Mianrood, Mahintaj Dara, Pouria Azami
Archives of Iranian Medicine.2023; 26(7): 403. CrossRef
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Journal of Addictive Diseases.2021; 39(4): 550. CrossRef
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Javad Aghazadeh-Attari, Rasool EntezarMahdi, Jamal Ahmadzadeh, Kazhal Mobaraki, Behnam Mansorian, Hasan Karimi, Shamsi Mirghaffarzadeh, Mahnaz Hajimohammadian, Iraj Mohebbi
Crisis.2019; 40(6): 407. CrossRef
The global burden of premature mortality due to the Middle East respiratory syndrome (MERS) using standard expected years of life lost, 2012 to 2019
Maryam Salamatbakhsh, Kazhal Mobaraki, Sara Sadeghimohammadi, Jamal Ahmadzadeh
BMC Public Health.2019;[Epub] CrossRef
Substance use disorder and risk of suicidal ideation, suicide attempt and suicide death: a meta-analysis
Jalal Poorolajal, Tahereh Haghtalab, Mehran Farhadi, Nahid Darvishi
Journal of Public Health.2016; 38(3): e282. CrossRef
Smoking and Suicide: A Meta-Analysis
Jalal Poorolajal, Nahid Darvishi, Osama Ali Abulseoud
PLOS ONE.2016; 11(7): e0156348. CrossRef
Alcohol-Related Risk of Suicidal Ideation, Suicide Attempt, and Completed Suicide: A Meta-Analysis
Nahid Darvishi, Mehran Farhadi, Tahereh Haghtalab, Jalal Poorolajal, Martin Voracek
PLOS ONE.2015; 10(5): e0126870. CrossRef
ESTIMATION OF ECONOMIC LOSS DUE TO MORTALITY EXTERNAL CAUSES AS ELEMENT OF POPULATION VITAL ACTIVITY SAFETY IN ARKHANGELSK REGION
Zh L Varakina, A M Vyazmin, A L Sannikov
Ekologiya cheloveka (Human Ecology).2014; 21(11): 31. CrossRef

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