Objective
To compare between two of the largest U.S. clinical practice research
datasets the risks of histologic high-grade cervical intraepithelial
neoplasia or worse after different cervical cancer screening test
results.
Methods
The New Mexico Human Papillomavirus (HPV) Pap Registry is a statewide
registry representing a diverse population experiencing varied clinical
practice delivery. Kaiser Permanente Northern California (KPNC) is a large
integrated health care delivery system practicing routine HPV cotesting
since 2003. In this retrospective cohort study, a logistic-Weibull survival
model was used to estimate and compare the cumulative 3- and 5-year risks of
histologic cervical intraepithelial neoplasia grade 3 or worse (CIN3+) among
women age 21–64 screened in 2007–2011 in the New Mexico HPV
Pap Registry and 2003–2013 in KPNC. Results were stratified by age
and baseline screening result: negative cytology, atypical squamous cells of
undetermined significance (ASC-US) (with or without HPV triage), low-grade
squamous intraepithelial lesion (LSIL) and high-grade squamous
intraepithelial lesion (HSIL).
Results
There were 453,618 women in the New Mexico HPV Pap Registry and
1,307,528 women at KPNC. The 5-year CIN3+ risks were similar within
screening results across populations: cytology negative (0.52% and
0.30%, respectively p=<.001), HPV-negative and ASC-US
(0.72% and 0.49%, respectively, p=.5), ASC-US (3.4%
and 3.4%, respectively, p=.8), HPV-positive and ASC-US (7.7%
and 7.1%, respectively, p=.3), LSIL (6.5% and 5.4%,
respectively, p=.009), and HSIL (53.1% and 50.4%,
respectively, p=.2). CIN2+ risks and 3-year risks had similar trends across
populations. Age-stratified analyses showed more variability, especially
among women age <30, but patterns of risk stratification were
comparable.
Conclusion
Current U.S. cervical screening and management recommendations are
based on comparative risks of histologic high grade cervical intraepithelial
neoplasia after screening test results. The similar results from these two
large cohorts from different real-life clinical practice settings support
risk-based management thresholds across US clinical populations and practice
settings.