Heart rate markers for prediction of fetal ...
Type de document :
Article dans une revue scientifique: Article original
PMID :
URL permanente :
Titre :
Heart rate markers for prediction of fetal acidosis in an experimental study on fetal sheep.
Auteur(s) :
Ghesquière, Louise [Auteur]
Service de Gynécologie - Obstétrique [Lille]
Evaluation des technologies de santé et des pratiques médicales - ULR 2694 [METRICS]
Département d'obstétrique[Lille]
Ternynck, Camille [Auteur]
Service de Biostatistiques [CHRU Lille]
METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Sharma, Dyuti [Auteur]
METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Centre Hospitalier Régional Universitaire [CHU Lille] [CHRU Lille]
Hamoud, Y. [Auteur]
Evaluation des technologies de santé et des pratiques médicales - ULR 2694 [METRICS]
Département d'obstétrique[Lille]
Vanspranghels, R. [Auteur]
Evaluation des technologies de santé et des pratiques médicales - ULR 2694 [METRICS]
Département d'obstétrique[Lille]
Storme, Laurent [Auteur]
METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Centre Hospitalier Régional Universitaire [CHU Lille] [CHRU Lille]
Debarge, Veronique [Auteur]
METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Département d'obstétrique[Lille]
De Jonckheere, Julien [Auteur]
Centre d'Investigation Clinique - Innovation Technologique de Lille - CIC 1403 - CIC 9301 [CIC Lille]
METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Garabedian, Charles [Auteur]
METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Département d'obstétrique[Lille]
Service de Gynécologie - Obstétrique [Lille]
Evaluation des technologies de santé et des pratiques médicales - ULR 2694 [METRICS]
Département d'obstétrique[Lille]
Ternynck, Camille [Auteur]
Service de Biostatistiques [CHRU Lille]
METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Sharma, Dyuti [Auteur]
METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Centre Hospitalier Régional Universitaire [CHU Lille] [CHRU Lille]
Hamoud, Y. [Auteur]
Evaluation des technologies de santé et des pratiques médicales - ULR 2694 [METRICS]
Département d'obstétrique[Lille]
Vanspranghels, R. [Auteur]
Evaluation des technologies de santé et des pratiques médicales - ULR 2694 [METRICS]
Département d'obstétrique[Lille]
Storme, Laurent [Auteur]
METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Centre Hospitalier Régional Universitaire [CHU Lille] [CHRU Lille]
Debarge, Veronique [Auteur]
METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Département d'obstétrique[Lille]
De Jonckheere, Julien [Auteur]
Centre d'Investigation Clinique - Innovation Technologique de Lille - CIC 1403 - CIC 9301 [CIC Lille]
METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Garabedian, Charles [Auteur]
METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Département d'obstétrique[Lille]
Titre de la revue :
Scientific Reports
Nom court de la revue :
Sci Rep
Numéro :
12
Pagination :
10615
Date de publication :
2022-06-26
ISSN :
2045-2322
Discipline(s) HAL :
Sciences du Vivant [q-bio]
Résumé en anglais : [en]
To overcome the difficulties in interpreting fetal heart rate (FHR), several tools based on the autonomic nervous system and heart rate variability (HRV) have been developed. The objective of this study was to use FHR and ...
Lire la suite >To overcome the difficulties in interpreting fetal heart rate (FHR), several tools based on the autonomic nervous system and heart rate variability (HRV) have been developed. The objective of this study was to use FHR and HRV parameters for the prediction of fetal hypoxia. It was an experimental study in the instrumented fetal sheep. Repeated umbilical cord occlusions were performed to achieve severe acidosis. Hemodynamic parameters, ECG, and blood gases were analyzed. The variables used were heart rate baseline, HRV analysis (RMSSD, SDNN, LF, HF, HFnu, Fetal Stress Index (FSI), …), and morphological analysis of decelerations. The gold standard used to classify hypoxia was the fetal arterial pH (pH < 7.10). Different multivariable statistical methods (logistic regression and decision trees) were applied for the detection of acidosis. 21 lambs were instrumented. A total of 130 pairs of FHR/fetal pH analysis were obtained of which 29 in the acidosis group and 101 in the non-acidosis group. After logistic regression model with bootstrap resampling and stepwise backward selection, only one variable was selected, FSI. The AUC of FSI alone in this model was 0.81 with a sensitivity of 0.66, specificity of 0.88, PPV of 0.61, and NPV of 0.90 considering a threshold of 68. Decision trees with CHAID and CART algorithms showed a sensitivity of 0.48 and 0.59, respectively, and a specificity of 0.94 for both. All employed methods identified HRV variables as the most predictive of acidosis. The primary variables selected automatically were those from the HRV. Supporting the use of FHRV measures for the screening of fetal acidosis during labour is interesting.Lire moins >
Lire la suite >To overcome the difficulties in interpreting fetal heart rate (FHR), several tools based on the autonomic nervous system and heart rate variability (HRV) have been developed. The objective of this study was to use FHR and HRV parameters for the prediction of fetal hypoxia. It was an experimental study in the instrumented fetal sheep. Repeated umbilical cord occlusions were performed to achieve severe acidosis. Hemodynamic parameters, ECG, and blood gases were analyzed. The variables used were heart rate baseline, HRV analysis (RMSSD, SDNN, LF, HF, HFnu, Fetal Stress Index (FSI), …), and morphological analysis of decelerations. The gold standard used to classify hypoxia was the fetal arterial pH (pH < 7.10). Different multivariable statistical methods (logistic regression and decision trees) were applied for the detection of acidosis. 21 lambs were instrumented. A total of 130 pairs of FHR/fetal pH analysis were obtained of which 29 in the acidosis group and 101 in the non-acidosis group. After logistic regression model with bootstrap resampling and stepwise backward selection, only one variable was selected, FSI. The AUC of FSI alone in this model was 0.81 with a sensitivity of 0.66, specificity of 0.88, PPV of 0.61, and NPV of 0.90 considering a threshold of 68. Decision trees with CHAID and CART algorithms showed a sensitivity of 0.48 and 0.59, respectively, and a specificity of 0.94 for both. All employed methods identified HRV variables as the most predictive of acidosis. The primary variables selected automatically were those from the HRV. Supporting the use of FHRV measures for the screening of fetal acidosis during labour is interesting.Lire moins >
Langue :
Anglais
Audience :
Internationale
Vulgarisation :
Non
Établissement(s) :
Université de Lille
CHU Lille
CHU Lille
Date de dépôt :
2023-11-15T03:49:05Z
2023-12-21T15:01:24Z
2024-01-10T15:41:21Z
2023-12-21T15:01:24Z
2024-01-10T15:41:21Z
Fichiers
- s41598-022-14727-4-1.pdf
- Non spécifié
- Accès libre
- Accéder au document