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Prevalence of HIV +ve Cases With AIDS Defining Opportunistic Infections Among ART Naive Patients Attending ART Centre

AIDS Defining Opportunistic Infections in Naive HIV Cases

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT03993093
Acronym
ADC
Enrollment
257
Registered
2019-06-20
Start date
2019-06-01
Completion date
2020-03-15
Last updated
2020-03-19

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Candidiasis, Esophageal, Cryptococcosis, HIV Infections, Leishmaniasis, Toxoplasmosis, Tuberculosis

Keywords

HIV, Opportunistic infection, CD4+ T cells, AIDS defining condition

Brief summary

HIV patients are likely to suffer from opportunistic infections, in absence of highly active retroviral therapy. This happens due to lack of awareness of HIV status among patients or unresponsive to anti retroviral drugs. This study is for the prevalence of AIDS defining OIs among treatment naive HIV patients.

Detailed description

Oppotunistic infections (OIs) happen in persons with weakened immune system. HIV patients, who remain untreated due to lack of knowledge of existing HIV infections, often get OIs. HIV patients with AIDS defining OIs fall into stage 3 of HIV illness. Prevalence of OIs in resource poor settings are tuberculosis (pulmonary and extra pulmonary), toxoplasmosis, cryptococcosis, and oesophageal candidiasis. There are a few data to show AIDS defining OIs in treatment naïve HIV patients. Incidence of OIs among HIV patients in United States, and Canada between 2000 to 2019 was 9%. Leading OIs were peumocystis Jiroveci, oesophageal candidiasis and disseminated MAC or M. kansassi. Minimal diagnoses at poor settings can be made by observation of symptoms, use of microscope, imaging and diagnostic therapy.

Interventions

OTHERCD4 cell count

CD4 cell count from treatment naive HIV patients

Sponsors

Singh, Ranjan Kumar, M.D.
Lead SponsorINDIV

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
5 Years to No maximum
Healthy volunteers
No

Inclusion criteria

• HAART naïve HIV patient

Exclusion criteria

* Patients died during screening * Transferred in HIV patients

Design outcomes

Primary

MeasureTime frameDescription
Prevalence of AIDS defining OIsSix monthsCalculate number of total HIV patients with or without opportunistic infections (n). Again calculate no of HIV patients with opportunistic infections (n1). Then calculate prevalence of HIV +ve patients with opportunistic infections by applying formula n1/n x100.

Secondary

MeasureTime frameDescription
Compare CD4 cell in cases of HIV with OIs with CD4 cell of HIV patients without OIsSix monthsFind out CD4 cell counts (cells /μL) of HIV patients with CD4 cell counts (cells/μL) of HIV patients without OIs. By calculating mean/SD of CD4 cells in both groups, comparison by chi square test would be done.

Countries

India

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026