P-265. Assessment of the epidemiologic surveillance system for prevention of HIV transmission through blood transfusion, Almaty, 2024

Abstract Background An estimated 33,658 people were living with HIV in Kazakhstan in 2024. Although HIV transmission through blood transfusion is rare, three cases of HIV were identified in hospitalized patients who received blood transfusions in 2023, raising concerns about blood transfusion as a potential source of transmission. Blood transfusion recipients are screened for HIV before transfusion and at 1- and 3-month post-transfusion. We aimed to identify weaknesses and strengths in Almaty, Kazakhstan’s surveillance system for HIV detection in blood transfusion recipients. Methods In 2024, we conducted a descriptive cross-sectional survey to evaluate the surveillance system using updated guidelines from the US Centers for Disease Control and Prevention. Twenty key informants were interviewed from the city's blood and AIDS centers, two polyclinics, and a hospital. Results The epidemiologic surveillance system for monitoring HIV transmission through the blood transfusion pathway is complex and multitiered. Patients receive transfusions in hospitals, and their test results are transmitted by phone to polyclinics for post-transfusion follow-up. The system utilizes separate medical and laboratory information databases that cannot be integrated due to patient protections, which makes patient follow-up difficult. Training for medical workers occurs 1-2 times a year, with 95% aware of the prevention algorithm. In 2023, of 71,234 blood recipients, 82 tested HIV positive in pre-transfusion testing (detection rate of 0.11%). Additionally, among 268,564 first-time blood donors, 54 tested HIV positive (detection rate of 0.02%). Gaps in data completeness were identified, with missing information in several variables and private medical facilities. Conclusion The system effectively screens blood donors and recipients for HIV. Integrating medical and laboratory information systems while adhering to data protection protocols may help enhance coordination between medical facilities. Automated data transfer of HIV test results from laboratories and hospitals to patient polyclinic medical records might reduce processing time and minimize errors. Disclosures All Authors: No reported disclosures

Authors

Institutions

Publication Details

Journal
Open Forum Infectious Diseases
Published
2026-01-01
DOI
https://doi.org/10.1093/ofid/ofaf695.486
Primary Topic
Blood donation and transfusion practices
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

P-265. Assessment of the epidemiologic surveillance system for prevention of HIV transmission through blood transfusion, Almaty, 2024

Alfiya Denebaeva, Ulyana Gubareva, Dilnaz Aitbaeva, Dilyara Nabirova et al.
Open Forum Infectious Diseases
Blood donation and transfusion practices
article

P-265. Assessment of the epidemiologic surveillance system for prevention of HIV transmission through blood transfusion, Almaty, 2024

Alfiya Denebaeva, Ulyana Gubareva, Dilnaz Aitbaeva, Dilyara Nabirova, Roberta Horth, S A N A M ZIKRIYAROVA
article en

Abstract

Abstract Background An estimated 33,658 people were living with HIV in Kazakhstan in 2024. Although HIV transmission through blood transfusion is rare, three cases of HIV were identified in hospitalized patients who received blood transfusions in 2023, raising concerns about blood transfusion as a potential source of transmission. Blood transfusion recipients are screened for HIV before transfusion and at 1- and 3-month post-transfusion. We aimed to identify weaknesses and strengths in Almaty, Kazakhstan’s surveillance system for HIV detection in blood transfusion recipients. Methods In 2024, we conducted a descriptive cross-sectional survey to evaluate the surveillance system using updated guidelines from the US Centers for Disease Control and Prevention. Twenty key informants were interviewed from the city's blood and AIDS centers, two polyclinics, and a hospital. Results The epidemiologic surveillance system for monitoring HIV transmission through the blood transfusion pathway is complex and multitiered. Patients receive transfusions in hospitals, and their test results are transmitted by phone to polyclinics for post-transfusion follow-up. The system utilizes separate medical and laboratory information databases that cannot be integrated due to patient protections, which makes patient follow-up difficult. Training for medical workers occurs 1-2 times a year, with 95% aware of the prevention algorithm. In 2023, of 71,234 blood recipients, 82 tested HIV positive in pre-transfusion testing (detection rate of 0.11%). Additionally, among 268,564 first-time blood donors, 54 tested HIV positive (detection rate of 0.02%). Gaps in data completeness were identified, with missing information in several variables and private medical facilities. Conclusion The system effectively screens blood donors and recipients for HIV. Integrating medical and laboratory information systems while adhering to data protection protocols may help enhance coordination between medical facilities. Automated data transfer of HIV test results from laboratories and hospitals to patient polyclinic medical records might reduce processing time and minimize errors. Disclosures All Authors: No reported disclosures

Open Forum Infectious DiseasesVol. 13(Supplement_1)
Centers for Disease Control and Prevention (US), Kazakh National Medical University (KZ), Global Health Research Center of Central Asia (KZ)
Good health and well-being
Openalex Percentile: Top 92%
Blood donation and transfusion practices
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.