Association between HPV-16 and HPV-18 viral loads and severity of cervical pre-invasive lesions in women with and without HIV in Botswana - Scorecard - MDSpire

Association between HPV-16 and HPV-18 viral loads and severity of cervical pre-invasive lesions in women with and without HIV in Botswana

  • By

  • Leabaneng Tawe

  • Pleasure Ramatlho

  • Siqi Zhang

  • Zackary Salem-Bango

  • Rebecca Ketlametswe

  • Daniel P. Morse

  • Doreen Ramogola-Masire

  • Erle S. Robertson

  • Giacomo M. Paganotti

  • Surbhi Grover

  • June 23, 2026

  • 0 min

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Clinical Scorecard: Correlation of HPV-16 and HPV-18 Viral Loads with the Severity of Cervical Pre-invasive Lesions in HIV-positive and HIV-negative Women in Botswana

At a Glance

CategoryDetail
ConditionCervical Pre-invasive Lesions
Key MechanismsCorrelation between HPV-16 and HPV-18 viral loads and severity of cervical lesions.
Target PopulationPre-cervical cancer patients in Botswana, both HIV-positive and HIV-negative.
Care SettingPublic health facilities in Gaborone, Botswana.

Key Highlights

  • HPV-16 detected in 33.94% and HPV-18 in 14.68% of samples.
  • Higher HPV-16 viral loads linked to increased severity of cervical lesions.
  • HPV-18 associated more with CIN II than CIN III.
  • HIV status did not significantly impact HPV viral loads.
  • Study utilized quantitative PCR for viral load assessment.

Guideline-Based Recommendations

Diagnosis

  • Quantitative PCR should be used to assess HPV viral loads in cervical lesions.

Management

  • Consider HPV-16 viral load as a risk factor for CIN III.

Monitoring & Follow-up

  • Monitor HPV-18 viral loads for potential association with CIN II.

Risks

  • Higher HPV-16 viral loads are significant risk factors for severe cervical lesions.

Patient & Prescribing Data

Women aged 30-49 years in Botswana, at high risk for cervical cancer.

Insights should be based on study findings without unsupported claims.

Clinical Best Practices

  • Implement regular screening for HPV in high-risk populations.
  • Utilize viral load data to inform treatment decisions for pre-cervical cancer patients.

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