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1.
J Low Genit Tract Dis ; 26(1): 20-26, 2022 Jan 01.
Artículo en Inglés | MEDLINE | ID: mdl-34928250

RESUMEN

OBJECTIVE: The aim was to evaluate the cytology, colposcopic, and pathological factors associated with the absence of high-grade squamous intraepithelial lesion (HSIL)/cervical intraepithelial neoplasia (CIN) 2-3 lesion on loop electrosurgical excision procedure (LEEP) specimens in women with high-grade cytology and/or HSIL/CIN 2-3 biopsy and the risk of disease persistence/recurrence. MATERIALS AND METHODS: Two-center retrospective study of women undergoing LEEP for high-grade cervical disease between January 2014 and December 2019. Clinical, cytology, colposcopy, and pathology results were evaluated to identify independent predictive factors associated with CIN 1/negative LEEP results. Univariate and multivariate logistic regression models were performed. Follow-up data was evaluated to assess the risk of HSIL/CIN 2-3 persistence/recurrence. RESULTS: Six hundred thirty-nine of 801 women (79.8%) had high-grade cytology and 631 (78.8%) HSIL/CIN 2-3 biopsy. High-risk human papillomavirus test was positive in 98% of women. Loop electrosurgical excision procedure specimen showing CIN 1 or less was found in 27%-31%. Normal/low-grade colposcopy (odds ratio [OR] = 2.17, CI = 1.39-3.39, p = .001) and CIN 1/negative biopsy (OR = 3.25, CI = 2.12-4.99, p < .001) were predictors of negative/CIN 1 LEEP result in women with high-grade cytology. Normal/low-grade cytology (OR = 1.77, CI = 1.19-2.64, p = .005), normal/low-grade colposcopy (OR = 1.66, CI = 1.11-2.49, p = .013), and CIN 2 biopsy (OR = 2.75, CI = 1.73-4.39, p < .001) were predictors in women with HSIL/CIN 2-3 biopsy. Women with a negative/CIN 1 LEEP had lower recurrence/persistence than those with confirmed HSIL/CIN 2-3(1 vs 31, p = .002). Positive endocervical margin (OR = 2.85, CI = 1.10-7.36, p = .03) and high-risk human papillomavirus persistence (OR = 41.3, CI = 16-106.7, p < .01) were predictors of HSIL/CIN 2-3 persistence/recurrence. CONCLUSIONS: A CIN 1/negative LEEP specimen in women with high-grade cytology and/or HSIL/CIN 2-3 biopsy is associated with negative/low-grade cytology, normal/low-grade colposcopic findings and CIN 2 biopsy result before treatment. The HSIL/CIN 2-3 disease persistence/recurrence is low when LEEP specimen does not confirm HSIL/CIN 2-3.


Asunto(s)
Sobretratamiento , Lesiones Intraepiteliales Escamosas , Humanos , Estudios Retrospectivos
2.
Int J Gynaecol Obstet ; 160(1): 150-160, 2023 Jan.
Artículo en Inglés | MEDLINE | ID: mdl-35695395

RESUMEN

OBJECTIVE: Pre-eclampsia (PE) and small for gestational age (SGA) can be predicted from the first trimester. The most widely used algorithm worldwide is the Fetal Medicine Foundation (FMF) algorithm. The recently described Gaussian algorithm has reported excellent results although it is unlikely to be externally validated. Therefore, as an alternative approach, we compared the predictive accuracy for PE and SGA of the Gaussian and FMF algorithms. METHODS: Secondary analysis of a prospective cohort study was conducted at Vall d'Hebron University Hospital (Barcelona) with 2641 singleton pregnancies. The areas under the curve for the predictive performance for early-onset and preterm PE and early-onset and preterm SGA were calculated with the Gaussian and FMF algorithms and subsequently compared. RESULTS: The FMF and Gaussian algorithms showed a similar predictive performance for most outcomes and marker combinations. Nevertheless, significant differences for early-onset PE prediction favored the Gaussian algorithm in the following combinations: mean arterial blood pressure (MAP) with pregnancy-associated plasma protein A, MAP with placental growth factor, and MAP alone. CONCLUSIONS: The first-trimester Gaussian and FMF algorithms have similar performances for PE and SGA prediction when applied with all markers within a routine care setting in a Spanish population, adding evidence to the external validity of the FMF algorithm.


Asunto(s)
Enfermedades del Recién Nacido , Preeclampsia , Embarazo , Recién Nacido , Femenino , Humanos , Primer Trimestre del Embarazo , Factor de Crecimiento Placentario , Preeclampsia/epidemiología , Perinatología , Edad Gestacional , Estudios Prospectivos , Algoritmos , Biomarcadores , Arteria Uterina/fisiología , Flujo Pulsátil , Valor Predictivo de las Pruebas
3.
Int J Gynaecol Obstet ; 156(2): 322-330, 2022 Feb.
Artículo en Inglés | MEDLINE | ID: mdl-33724448

RESUMEN

OBJECTIVE: Pre-eclampsia and delivery of small-for-gestational-age (SGA) neonates can be predicted from the first trimester. A Gaussian model for prediction of PE has recently been described, although its capacity to predict SGA is still unknown. METHODS: This was a secondary analysis of a prospective cohort study conducted at Vall d'Hebron University Hospital (Barcelona) in 2483 single pregnancies from October 2015 to September 2017. Mean arterial blood pressure and mean uterine artery pulsatility index were recorded at the first-trimester scan. Serum concentrations of placental growth factor and pregnancy-associated plasma protein-A were assessed between 8+0 and 13+6  weeks. The predictive capacities of early (<32 weeks) and preterm (<37 weeks) SGA were tested. RESULTS: For SGA without pre-eclampsia, detection rates of 25.0% (95% confidence interval [CI] 0-75.0) for early SGA and 14.3% (95% CI 3.6-28.6) for preterm SGA were achieved. For SGA with pre-eclampsia, the algorithm showed detection rates of 100.0% (95% CI 25.0-100.0) for early SGA and 56.3% (95% CI 31.3-81.3) for preterm SGA. CONCLUSION: This algorithm identifies 62.5% of early SGA and 27.3% of preterm SGA. Combined screening for predicting both pre-eclampsia and SGA by using the Gaussian algorithm is feasible and would simplify clinical practice.


Asunto(s)
Preeclampsia , Biomarcadores , Femenino , Humanos , Recién Nacido , Recién Nacido Pequeño para la Edad Gestacional , Factor de Crecimiento Placentario , Preeclampsia/diagnóstico , Valor Predictivo de las Pruebas , Embarazo , Primer Trimestre del Embarazo , Estudios Prospectivos , Flujo Pulsátil , Ultrasonografía Prenatal , Arteria Uterina/diagnóstico por imagen
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