OBJECTIVE: To evaluate diagnostic accuracy of quantitative fetal fibronectin (qfFN) test in predicting preterm birth (PTB) risk <34 weeks' gestation or within 14 days from testing. We explored the predictive potential of the test in five-predefined PTB risk categories based on predefined qfFN thresholds (<10, 10-49, 50-199, 200-499 and ≥500 ng/mL). METHODS: Measurement of cervicovaginal qfFN with Rapid fFN 10Q System (Hologic) in 126 women with singleton pregnancy (23-33 weeks' gestation) reporting signs and symptoms indicative of preterm labour (PTL). RESULTS: For PTB prediction risk <34 weeks' gestation, sensitivity decreased from 100% to 41.7% and specificity increased from 0% to 99.1% with increasing fFN thresholds. Positive predictive value (PPV) increased from 9.5% to 83.3% with increasing qfFN thresholds, while negative predictive value (NPV) was higher than 90% among the fFN-predefined categories. Diagnostic accuracy results showed an area under a receiving operator characteristic (ROC) curve of 84.5% (95% CI, 0.770-0.903). For delivery prediction within 14 days from the testing, sensitivity decreased from 100% to 42.8% and specificity increased from 0% to 100% with increasing fFN thresholds. Diagnostic accuracy determined by the ROC curve was 66.1% (95% CI, 0.330-0.902). CONCLUSIONS: The QfFN thresholds of tests are a useful tool to distinguish pregnant women for PTB prediction risk <34 weeks' gestation.

Evaluation of quantitative fFn test in predicting the risk of preterm birth / Centra, Michela; Coata, Giuliana; Picchiassi, Elena; Alfonsi, Luisa; Meniconi, Samanta; Bini, Vittorio; Di Tommaso, Mariarosaria; Cozzolino, Mauro; Facchinetti, Fabio; Ferrari, Francesca; Gervasi, Maria Teresa; Rusconi, Silvia; Todros, Tullia; Frisina, Valentina; Rizzo, Nicola; Bisulli, Maria; Di Renzo, Gian Carlo.. - In: JOURNAL OF PERINATAL MEDICINE. - ISSN 1619-3997. - ELETTRONICO. - 45:(2016), pp. 91-98. [10.1515/jpm-2015-0414]

Evaluation of quantitative fFn test in predicting the risk of preterm birth

DI TOMMASO, MARIAROSARIA;COZZOLINO, MAURO;
2016

Abstract

OBJECTIVE: To evaluate diagnostic accuracy of quantitative fetal fibronectin (qfFN) test in predicting preterm birth (PTB) risk <34 weeks' gestation or within 14 days from testing. We explored the predictive potential of the test in five-predefined PTB risk categories based on predefined qfFN thresholds (<10, 10-49, 50-199, 200-499 and ≥500 ng/mL). METHODS: Measurement of cervicovaginal qfFN with Rapid fFN 10Q System (Hologic) in 126 women with singleton pregnancy (23-33 weeks' gestation) reporting signs and symptoms indicative of preterm labour (PTL). RESULTS: For PTB prediction risk <34 weeks' gestation, sensitivity decreased from 100% to 41.7% and specificity increased from 0% to 99.1% with increasing fFN thresholds. Positive predictive value (PPV) increased from 9.5% to 83.3% with increasing qfFN thresholds, while negative predictive value (NPV) was higher than 90% among the fFN-predefined categories. Diagnostic accuracy results showed an area under a receiving operator characteristic (ROC) curve of 84.5% (95% CI, 0.770-0.903). For delivery prediction within 14 days from the testing, sensitivity decreased from 100% to 42.8% and specificity increased from 0% to 100% with increasing fFN thresholds. Diagnostic accuracy determined by the ROC curve was 66.1% (95% CI, 0.330-0.902). CONCLUSIONS: The QfFN thresholds of tests are a useful tool to distinguish pregnant women for PTB prediction risk <34 weeks' gestation.
2016
45
91
98
Centra, Michela; Coata, Giuliana; Picchiassi, Elena; Alfonsi, Luisa; Meniconi, Samanta; Bini, Vittorio; Di Tommaso, Mariarosaria; Cozzolino, Mauro; Fa...espandi
File in questo prodotto:
File Dimensione Formato  
Evaluation of quantitative Ffn test in predicting the risk of preterm birth (1).pdf

Open Access dal 01/01/2018

Descrizione: Articolo
Tipologia: Pdf editoriale (Version of record)
Licenza: Open Access
Dimensione 303.69 kB
Formato Adobe PDF
303.69 kB Adobe PDF

I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1048809
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 11
  • ???jsp.display-item.citation.isi??? 10
social impact