Self- versus physician-collected samples for the follow-up of human papillomavirus-positive women in sub-Saharan Africa

在撒哈拉以南非洲地区,对人乳头瘤病毒阳性女性进行随访时,采用自取样本与医生采集样本的比较研究。

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Abstract

INTRODUCTION: Human papillomavirus (HPV) testing is a suitable tool for primary cervical cancer (CC) screening and follow-up in low-resource settings. Vaginal samples taken by women themselves (Self-HPV) are an interesting alternative to physician-performed sampling (Dr-HPV). Our aim was to assess the performance of Self-HPV and Dr-HPV at 6 and 12 months following a CC screening campaign. METHODS: This study was carried out at the Dschang District Hospital, Cameroon. Women aged 30-49 years were recruited in a CC screening campaign. HPV-positive women, of whom 2/3 were treated with thermoablation because of abnormal results at baseline screening, were invited to participate in a follow-up study. Self- and Dr-HPV, as well as cytology, were performed at 6 and 12 months. HPV samples were analyzed using the Xpert HPV assay. Sensitivity and specificity for the detection of low-grade squamous intraepithelial lesion or worse and of high-grade squamous intraepithelial lesion or worse were calculated for Self-HPV and Dr-HPV, using cytology as the reference diagnosis. RESULTS: Overall, 188 HPV-positive women were invited to attend follow-up. The obtained follow-up visits' attendance was 154 (81.9%) and 131 (69.7%) at 6 and 12 months, respectively. While the overall performance of Dr-HPV at 6 months was slightly superior, Self-HPV showed an improved sensitivity for HSIL+ detection at 12 months when compared with Dr-HPV (83.3% [95% CI 41.8-98.9] versus 71.4% [95% CI 21.5-95.8], respectively). The overall HPV positivity agreement between Self- and Dr-HPV at 6 and 12 months corresponded to a κ value of 0.62 and 0.52, respectively. Among women treated with thermoablation (n=121) at baseline screening, Self-HPV was as sensitive as Dr-HPV, although less specific (P=0.003). CONCLUSION: Self-HPV is a valuable tool for the follow-up of HPV-positive women in low-resource settings. Larger, randomized trials are needed to confirm the validity of our findings.

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