A simple algorithm for selecting cases to investigate acute and early HIV infections in low- and middle-income countries
Abstract We documented the outcome of an over 10-year effort to diagnose acute and early HIV infections (AEHI) in an Infectious Diseases Outpatient Clinic with limited resources. Of a total of 132 cases, 119 HIV-RNA tests were performed from 2017–2020, 12 cases were identified, using a simple algorithm: risk exposure of six weeks or less before the visit and/or symptoms compatible with acute retroviral syndrome 7–30 days after exposure and/or undetermined 3rd generation rapid diagnostic test or serology. AEHI diagnoses varied from 2.4% among asymptomatic to 25% for undetermined serology cases using a simple screening applicable to different settings..
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Preprint| Erscheinungsjahr: |
2022 |
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| Erschienen: |
2022 |
| Enthalten in: |
ResearchSquare.com - (2022) vom: 29. Juli Zur Gesamtaufnahme - year:2022 |
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| Sprache: |
Englisch |
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| Beteiligte Personen: |
MATSUDA, ELAINE MONTEIRO [VerfasserIn] |
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| doi: |
10.21203/rs.3.rs-421048/v1 |
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| 520 | |a Abstract We documented the outcome of an over 10-year effort to diagnose acute and early HIV infections (AEHI) in an Infectious Diseases Outpatient Clinic with limited resources. Of a total of 132 cases, 119 HIV-RNA tests were performed from 2017–2020, 12 cases were identified, using a simple algorithm: risk exposure of six weeks or less before the visit and/or symptoms compatible with acute retroviral syndrome 7–30 days after exposure and/or undetermined 3rd generation rapid diagnostic test or serology. AEHI diagnoses varied from 2.4% among asymptomatic to 25% for undetermined serology cases using a simple screening applicable to different settings. | ||
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