Optimising follow-up strategy based on cytology and human papillomavirus after fertility-sparing surgery for early stage cervical cancer: a nationwide, population-based, retrospective cohort study.

BACKGROUND: The optimal follow-up strategy to detect recurrence after fertility-sparing surgery for early stage cervical cancer is unknown. Tailored surveillance based on individual risks could contribute to improved efficiency and, subsequently, reduce costs in health care. The aim of this study was to establish the predictive value of cervical cytology and high-risk human papillomavirus (HPV) testing to detect recurrent cervical intraepithelial neoplasia grade 2 or worse (CIN2+; including recurrent cervical cancer) after fertility-sparing surgery. METHODS: In this nationwide, population-based, retrospective cohort study, we used data from the Netherlands Cancer Registry and the Dutch Nationwide Pathology Databank. All patients aged 18-40 years with cervical cancer of any histology who received fertility-sparing surgery (ie, large loop excision of the transformation zone, conisation, or trachelectomy) between Jan 1, 2000, and Dec 31, 2020, were included. Pathology data from diagnosis, treatment, and during follow-up were analysed. The primary and secondary outcomes were the cumulative incidence of recurrent CIN2+ and recurrence-free survival, overall and stratified by results for cytology and high-risk HPV. FINDINGS: 1548 patients were identified, of whom 1462 met the inclusion criteria. Of these included patients, 19 568 pathology reports were available. The median age at diagnosis was 31 years (IQR 30-35). After a median follow-up of 6·1 years (IQR 3·3-10·8), recurrent CIN2+ was diagnosed in 128 patients (cumulative incidence 15·0%, 95% CI 11·5-18·2), including 52 patients (cumulative incidence 5·4%, 95% CI 3·7-7·0) with recurrent cervical cancer. The overall 10-year recurrence-free survival for CIN2+ was 89·3% (95% CI 87·4-91·3). By cytology at first follow-up visit within 12 months after fertility-sparing surgery, 10-year recurrence-free survival for CIN2+ was 92·1% (90·2-94·1) in patients with normal cytology, 84·6% (77·4-92·3) in those with low-grade cytology, and 43·1% (26·4-70·2) in those with high-grade cytology. By high-risk HPV status at first follow-up visit within 12 months after surgery, 10-year recurrence-free survival for CIN2+ was 91·1% (85·3-97·3) in patients who were negative for high-risk HPV and 73·6% (58·4-92·8) in those who were positive for high-risk HPV. Cumulative incidence of recurrent CIN2+ within 6 months after any follow-up visit (6-24 months) in patients negative for high-risk HPV with normal or low-grade cytology was 0·0-0·7% and with high-grade cytology was 0·0-33·3%. Cumulative incidence of recurrence in patients positive for high-risk HPV with normal or low-grade cytology were 0·0-15·4% and with high-grade cytology were 50·0-100·0%. None of the patients who were negative for high-risk HPV without high-grade cytology, at 6 months and 12 months, developed recurrence. INTERPRETATION: Patients who are negative for high-risk HPV with normal or low-grade cytology at 6-24 months after fertility-sparing surgery, could be offered a prolonged follow-up interval of 6 months. This group comprises 80% of all patients receiving fertility-sparing surgery. An interval of 12 months seems to be safe after two consecutive negative tests for high-risk HPV with an absence of high-grade cytology, which accounts for nearly 75% of all patients who receive fertility-sparing surgery. FUNDING: KWF Dutch Cancer Society.

Quality of integrated female oncofertility care is suboptimal: A patient-reported measurement.

BACKGROUND: Clinical practice guidelines recommend to inform female cancer patients about their infertility risks due to cancer treatment. Unfortunately, it seems that guideline adherence is suboptimal. In order to improve quality of integrated female oncofertility care, a systematic assessment of current practice is necessary. METHODS: A multicenter cross-sectional survey study in which a set of systematically developed quality indicators was processed, was conducted among female cancer patients (diagnosed in 2016/2017). These indicators represented all domains in oncofertility care; risk communication, referral, counseling, and decision-making. Indicator scores were calculated, and determinants were assessed by multilevel multivariate analyses. RESULTS: One hundred twenty-one out of 344 female cancer patients participated. Eight out of 11 indicators scored below 90% adherence. Of all patients, 72.7% was informed about their infertility, 51.2% was offered a referral, with 18.8% all aspects were discussed in counseling, and 35.5% received written and/or digital information. Patient's age, strength of wish to conceive, time before cancer treatment, and type of healthcare provider significantly influenced the scores of three indicators. CONCLUSIONS: Current quality of female oncofertility care is far from optimal. Therefore, improvement is needed. To achieve this, improvement strategies that are tailored to the identified determinants and to guideline-specific barriers should be developed.

Lactate point-of-care testing for acidosis: Cross-comparison of two devices with routine laboratory results.

OBJECTIVES: Lactate is a major parameter in medical decision making. During labor, it is an indicator for fetal acidosis and immediate intervention. In the Emergency Department (ED), rapid analysis of lactate/blood gas is crucial for optimal patient care. Our objectives were to cross-compare-for the first time-two point-of-care testing (POCT) lactate devices with routine laboratory results using novel tight precision targets and evaluate different lactate cut-off concentrations to predict metabolic acidosis. DESIGN AND METHODS: Blood samples from the delivery room (n=66) and from the ED (n=85) were analyzed on two POCT devices, the StatStrip-Lactate (Nova Biomedical) and the iSTAT-1 (CG4+ cassettes, Abbott), and compared to the routine laboratory analyzer (ABL-735, Radiometer). Lactate concentrations were cross-compared between these analyzers. RESULTS: The StatStrip correlated well with the ABL-735 (R=0.9737) and with the iSTAT-1 (R=0.9774) for lactate in umbilical cord blood. Lactate concentrations in ED samples measured on the iSTAT-1 and ABL-735 showed a correlation coefficient of R=0.9953. Analytical imprecision was excellent for lactate and pH, while for pO2 and pCO2 the coefficient of variation was relatively high using the iSTAT-1. CONCLUSION: Both POCT devices showed adequate analytical performance to measure lactate. The StatStrip can indicate metabolic acidosis in 1 µl blood and will be implemented at the delivery room.