Routines for intrapartum fetal monitoring are important, but why and, more importantly, how are they used?
Notice bibliographique
Résumé
Sir, Recently, Kaasen et al described clinical routines for intrapartum fetal monitoring in all Norwegian birth units.1 All units had a Pinard stethoscope, handheld Doppler and cardiotocography (CTG). Half of the units used ST waveform analysis (STAN), and 48% had access to fetal scalp blood sampling, most often for lactate analysis. Umbilical cord blood gas analyses were performed in 90% of the units, most often after high-risk deliveries. Some deviations from national recommendations were observed. Admission CTG was used routinely in low-risk women in 23% of the birth units. Use of intermittent auscultation of the fetal heart with a Pinard stethoscope, handheld Doppler or external CTG transducer differed among units, as did the time intervals between auscultation both in the first and second stage of labor in low-risk pregnancies. The definitions of slow progress of labor were also not consistent. Describing the routines for intrapartum fetal monitoring is not sufficient if they are not followed and not used for proper indications. Therefore, the knowledge of how often these routines are or are not followed in clinical practice and why, is of utmost importance. However, we have very little information on these, both at a national and international level. Admission CTG is not recommended in Norway in low-risk women as it is generally accepted that there is no evidence for its use.1-3 Nonetheless, it is routinely used in 23% of the birth units. Admission CTG is not recommended by the WHO, in the UK, Canada, Australia, New Zealand or Denmark.1 However, in Sweden, is it widely used. Why is it so? Recently, Swedish researchers discussed why they deemed admission CTG beneficial in a retrospective, hospital-based study including both low- and high-risk pregnancies, many with signs of placental abruption at admission.4 In my opinion, results from such a study do not justify their conclusions. On the other hand, Sweden does not use STAN technology, whereas many units in Norway do. Since the STAN algorithm is based on a modified, old version of the FIGO guideline for CTG interpretation, the new FIGO guidelines from 2015 were not introduced in Norway, as they are in Sweden in a slightly modified form. There is sufficient evidence that STAN is not superior to CTG alone or combined with fetal blood sampling for any important clinical outcomes.5 STAN can only be used after 36 weeks of gestation, only after rupture of membranes and has a complex algorithm; in addition many clinicians do not trust it to give a significant warning/alarm at an appropriate time. Thus, it is striking how traditions and beliefs, rather than evidence, continue to influence the method chosen for fetal monitoring. In Norway, the Pinard stethoscope appears to have been replaced by handheld Doppler or an external CTG probe.6 In my opinion, this is not well founded, since the Pinard stethoscope may be better at avoiding misidentification of maternal heart rate as a falsely reassuring fetal heart rate. There are too many court cases and claims for compensation after birth injury to the child where handheld Doppler or external CTG probe have produced a falsely reassuring fetal heart rate trace. Of course, if in doubt, a real-time ultrasound machine should be used. The publication by Kaasen et al1 should be followed by new studies evaluating why different methods for fetal monitoring are used, the rationale for the decision, and how these routines are followed and implemented in clinical practice.
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Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,015 | 0,101 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,004 |
| Communication savante | 0,005 | 0,007 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,004 | 0,006 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,002 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».