Fetal heart rate variability analysis for neonatal acidosis prediction
| العنوان: | Fetal heart rate variability analysis for neonatal acidosis prediction |
|---|---|
| المؤلفون: | Laurent Storme, J. De Jonckheere, Véronique Houfflin-Debarge, Charles Garabedian, Louise Ghesquiere, M.-A. Gatellier |
| المصدر: | Journal of Clinical Monitoring and Computing. 35:771-777 |
| بيانات النشر: | Springer Science and Business Media LLC, 2020. |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | Multivariate statistics, medicine.medical_specialty, Multivariate analysis, Fetal Heart Rate Variability, Cardiotocography, Population, Health Informatics, Critical Care and Intensive Care Medicine, 03 medical and health sciences, 0302 clinical medicine, Pregnancy, 030202 anesthesiology, Internal medicine, medicine, Humans, Heart rate variability, education, Acidosis, education.field_of_study, Labor, Obstetric, medicine.diagnostic_test, business.industry, Infant, Newborn, Area under the curve, 030208 emergency & critical care medicine, Heart Rate, Fetal, Anesthesiology and Pain Medicine, Area Under Curve, embryonic structures, Cardiology, Female, medicine.symptom, business |
| الوصف: | Fetal well-being during labor is usually assessed by visual analysis of a fetal heart rate (FHR) tracing. Our primary objective was to evaluate the ability of automated heart rate variability (HRV) analysis methods, including our new fetal stress index (FSI), to predict neonatal acidosis. 552 intrapartum recordings were analyzed. The analysis occurred in the last 90 min before birth and was conducted during two 5-min intervals: (i) a stable period of FHR and (ii) the period corresponding to the maximum FSI value. For each period, we computed the mean FHR, FSI, short-term variability (STV), and long-term variability (LTV). Visual FHR interpretation was performed using the FIGO classification. The population was separated into two groups: (i) an acidotic group with an arterial pH at birth ≤ 7.10 and a control group. Prediction of a neonatal pH ≤ 7.10 was assessed by computing the receiver-operating characteristic area under the curve (AUC). FHR, FSI, STV, and LTV did not differ significantly between groups during the stable period. During the FSI max peak period, LTV and STV correlated significantly in the acidotic group (- 5.85 ± 2.19, p = 0.010 and - 0.62 ± 0.29, p = 0.037, respectively). The AUC values were 0.569 for FIGO classification, 0.595 for STV, and 0.622 for LTV. The multivariate model (FIGO, FSI, FC, STV, LTV) had the greatest accuracy for predicting acidosis (AUC = 0.719). FSI was not predictive of neonatal acidosis probably because of the low quality of the FHR signal in cardiotocography. When used separately, HRV indexes and visual FHR analysis were poor predictors of neonatal acidosis. Including all indexes in a multivariate model increased the predictive ability. |
| تدمد: | 1573-2614 1387-1307 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72d1735ce4e22c2f5789c7fe87335797Test https://doi.org/10.1007/s10877-020-00535-6Test |
| حقوق: | CLOSED |
| رقم الانضمام: | edsair.doi.dedup.....72d1735ce4e22c2f5789c7fe87335797 |
| قاعدة البيانات: | OpenAIRE |
| ResultId |
1 |
|---|---|
| Header |
edsair OpenAIRE edsair.doi.dedup.....72d1735ce4e22c2f5789c7fe87335797 870 3 unknown 869.672729492188 |
| PLink |
https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsair&AN=edsair.doi.dedup.....72d1735ce4e22c2f5789c7fe87335797&custid=s6537998&authtype=sso |
| FullText |
Array
(
[Availability] => 0
)
|
| Items |
Array
(
[Name] => Title
[Label] => Title
[Group] => Ti
[Data] => Fetal heart rate variability analysis for neonatal acidosis prediction
)
Array ( [Name] => Author [Label] => Authors [Group] => Au [Data] => <searchLink fieldCode="AR" term="%22Laurent+Storme%22">Laurent Storme</searchLink><br /><searchLink fieldCode="AR" term="%22J%2E+De+Jonckheere%22">J. De Jonckheere</searchLink><br /><searchLink fieldCode="AR" term="%22Véronique+Houfflin-Debarge%22">Véronique Houfflin-Debarge</searchLink><br /><searchLink fieldCode="AR" term="%22Charles+Garabedian%22">Charles Garabedian</searchLink><br /><searchLink fieldCode="AR" term="%22Louise+Ghesquiere%22">Louise Ghesquiere</searchLink><br /><searchLink fieldCode="AR" term="%22M%2E-A%2E+Gatellier%22">M.-A. Gatellier</searchLink> ) Array ( [Name] => TitleSource [Label] => Source [Group] => Src [Data] => <i>Journal of Clinical Monitoring and Computing</i>. 35:771-777 ) Array ( [Name] => Publisher [Label] => Publisher Information [Group] => PubInfo [Data] => Springer Science and Business Media LLC, 2020. ) Array ( [Name] => DatePubCY [Label] => Publication Year [Group] => Date [Data] => 2020 ) Array ( [Name] => Subject [Label] => Subject Terms [Group] => Su [Data] => <searchLink fieldCode="DE" term="%22Multivariate+statistics%22">Multivariate statistics</searchLink><br /><searchLink fieldCode="DE" term="%22medicine%2Emedical%5Fspecialty%22">medicine.medical_specialty</searchLink><br /><searchLink fieldCode="DE" term="%22Multivariate+analysis%22">Multivariate analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Fetal+Heart+Rate+Variability%22">Fetal Heart Rate Variability</searchLink><br /><searchLink fieldCode="DE" term="%22Cardiotocography%22">Cardiotocography</searchLink><br /><searchLink fieldCode="DE" term="%22Population%22">Population</searchLink><br /><searchLink fieldCode="DE" term="%22Health+Informatics%22">Health Informatics</searchLink><br /><searchLink fieldCode="DE" term="%22Critical+Care+and+Intensive+Care+Medicine%22">Critical Care and Intensive Care Medicine</searchLink><br /><searchLink fieldCode="DE" term="%2203+medical+and+health+sciences%22">03 medical and health sciences</searchLink><br /><searchLink fieldCode="DE" term="%220302+clinical+medicine%22">0302 clinical medicine</searchLink><br /><searchLink fieldCode="DE" term="%22Pregnancy%22">Pregnancy</searchLink><br /><searchLink fieldCode="DE" term="%22030202+anesthesiology%22">030202 anesthesiology</searchLink><br /><searchLink fieldCode="DE" term="%22Internal+medicine%22">Internal medicine</searchLink><br /><searchLink fieldCode="DE" term="%22medicine%22">medicine</searchLink><br /><searchLink fieldCode="DE" term="%22Humans%22">Humans</searchLink><br /><searchLink fieldCode="DE" term="%22Heart+rate+variability%22">Heart rate variability</searchLink><br /><searchLink fieldCode="DE" term="%22education%22">education</searchLink><br /><searchLink fieldCode="DE" term="%22Acidosis%22">Acidosis</searchLink><br /><searchLink fieldCode="DE" term="%22education%2Efield%5Fof%5Fstudy%22">education.field_of_study</searchLink><br /><searchLink fieldCode="DE" term="%22Labor%2C+Obstetric%22">Labor, Obstetric</searchLink><br /><searchLink fieldCode="DE" term="%22medicine%2Ediagnostic%5Ftest%22">medicine.diagnostic_test</searchLink><br /><searchLink fieldCode="DE" term="%22business%2Eindustry%22">business.industry</searchLink><br /><searchLink fieldCode="DE" term="%22Infant%2C+Newborn%22">Infant, Newborn</searchLink><br /><searchLink fieldCode="DE" term="%22Area+under+the+curve%22">Area under the curve</searchLink><br /><searchLink fieldCode="DE" term="%22030208+emergency+%26+critical+care+medicine%22">030208 emergency & critical care medicine</searchLink><br /><searchLink fieldCode="DE" term="%22Heart+Rate%2C+Fetal%22">Heart Rate, Fetal</searchLink><br /><searchLink fieldCode="DE" term="%22Anesthesiology+and+Pain+Medicine%22">Anesthesiology and Pain Medicine</searchLink><br /><searchLink fieldCode="DE" term="%22Area+Under+Curve%22">Area Under Curve</searchLink><br /><searchLink fieldCode="DE" term="%22embryonic+structures%22">embryonic structures</searchLink><br /><searchLink fieldCode="DE" term="%22Cardiology%22">Cardiology</searchLink><br /><searchLink fieldCode="DE" term="%22Female%22">Female</searchLink><br /><searchLink fieldCode="DE" term="%22medicine%2Esymptom%22">medicine.symptom</searchLink><br /><searchLink fieldCode="DE" term="%22business%22">business</searchLink> ) Array ( [Name] => Abstract [Label] => Description [Group] => Ab [Data] => Fetal well-being during labor is usually assessed by visual analysis of a fetal heart rate (FHR) tracing. Our primary objective was to evaluate the ability of automated heart rate variability (HRV) analysis methods, including our new fetal stress index (FSI), to predict neonatal acidosis. 552 intrapartum recordings were analyzed. The analysis occurred in the last 90 min before birth and was conducted during two 5-min intervals: (i) a stable period of FHR and (ii) the period corresponding to the maximum FSI value. For each period, we computed the mean FHR, FSI, short-term variability (STV), and long-term variability (LTV). Visual FHR interpretation was performed using the FIGO classification. The population was separated into two groups: (i) an acidotic group with an arterial pH at birth ≤ 7.10 and a control group. Prediction of a neonatal pH ≤ 7.10 was assessed by computing the receiver-operating characteristic area under the curve (AUC). FHR, FSI, STV, and LTV did not differ significantly between groups during the stable period. During the FSI max peak period, LTV and STV correlated significantly in the acidotic group (- 5.85 ± 2.19, p = 0.010 and - 0.62 ± 0.29, p = 0.037, respectively). The AUC values were 0.569 for FIGO classification, 0.595 for STV, and 0.622 for LTV. The multivariate model (FIGO, FSI, FC, STV, LTV) had the greatest accuracy for predicting acidosis (AUC = 0.719). FSI was not predictive of neonatal acidosis probably because of the low quality of the FHR signal in cardiotocography. When used separately, HRV indexes and visual FHR analysis were poor predictors of neonatal acidosis. Including all indexes in a multivariate model increased the predictive ability. ) Array ( [Name] => ISSN [Label] => ISSN [Group] => ISSN [Data] => 1573-2614<br />1387-1307 ) Array ( [Name] => URL [Label] => Access URL [Group] => URL [Data] => <link linkTarget="URL" linkTerm="https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72d1735ce4e22c2f5789c7fe87335797" linkWindow="_blank">https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72d1735ce4e22c2f5789c7fe87335797</link><br /><link linkTarget="URL" linkTerm="https://doi.org/10.1007/s10877-020-00535-6" linkWindow="_blank">https://doi.org/10.1007/s10877-020-00535-6</link> ) Array ( [Name] => Copyright [Label] => Rights [Group] => Cpyrght [Data] => CLOSED ) Array ( [Name] => AN [Label] => Accession Number [Group] => ID [Data] => edsair.doi.dedup.....72d1735ce4e22c2f5789c7fe87335797 ) |
| RecordInfo |
Array
(
[BibEntity] => Array
(
[Languages] => Array
(
[0] => Array
(
[Text] => Undetermined
)
)
[PhysicalDescription] => Array
(
[Pagination] => Array
(
[PageCount] => 7
[StartPage] => 771
)
)
[Subjects] => Array
(
[0] => Array
(
[SubjectFull] => Multivariate statistics
[Type] => general
)
[1] => Array
(
[SubjectFull] => medicine.medical_specialty
[Type] => general
)
[2] => Array
(
[SubjectFull] => Multivariate analysis
[Type] => general
)
[3] => Array
(
[SubjectFull] => Fetal Heart Rate Variability
[Type] => general
)
[4] => Array
(
[SubjectFull] => Cardiotocography
[Type] => general
)
[5] => Array
(
[SubjectFull] => Population
[Type] => general
)
[6] => Array
(
[SubjectFull] => Health Informatics
[Type] => general
)
[7] => Array
(
[SubjectFull] => Critical Care and Intensive Care Medicine
[Type] => general
)
[8] => Array
(
[SubjectFull] => 03 medical and health sciences
[Type] => general
)
[9] => Array
(
[SubjectFull] => 0302 clinical medicine
[Type] => general
)
[10] => Array
(
[SubjectFull] => Pregnancy
[Type] => general
)
[11] => Array
(
[SubjectFull] => 030202 anesthesiology
[Type] => general
)
[12] => Array
(
[SubjectFull] => Internal medicine
[Type] => general
)
[13] => Array
(
[SubjectFull] => medicine
[Type] => general
)
[14] => Array
(
[SubjectFull] => Humans
[Type] => general
)
[15] => Array
(
[SubjectFull] => Heart rate variability
[Type] => general
)
[16] => Array
(
[SubjectFull] => education
[Type] => general
)
[17] => Array
(
[SubjectFull] => Acidosis
[Type] => general
)
[18] => Array
(
[SubjectFull] => education.field_of_study
[Type] => general
)
[19] => Array
(
[SubjectFull] => Labor, Obstetric
[Type] => general
)
[20] => Array
(
[SubjectFull] => medicine.diagnostic_test
[Type] => general
)
[21] => Array
(
[SubjectFull] => business.industry
[Type] => general
)
[22] => Array
(
[SubjectFull] => Infant, Newborn
[Type] => general
)
[23] => Array
(
[SubjectFull] => Area under the curve
[Type] => general
)
[24] => Array
(
[SubjectFull] => 030208 emergency & critical care medicine
[Type] => general
)
[25] => Array
(
[SubjectFull] => Heart Rate, Fetal
[Type] => general
)
[26] => Array
(
[SubjectFull] => Anesthesiology and Pain Medicine
[Type] => general
)
[27] => Array
(
[SubjectFull] => Area Under Curve
[Type] => general
)
[28] => Array
(
[SubjectFull] => embryonic structures
[Type] => general
)
[29] => Array
(
[SubjectFull] => Cardiology
[Type] => general
)
[30] => Array
(
[SubjectFull] => Female
[Type] => general
)
[31] => Array
(
[SubjectFull] => medicine.symptom
[Type] => general
)
[32] => Array
(
[SubjectFull] => business
[Type] => general
)
)
[Titles] => Array
(
[0] => Array
(
[TitleFull] => Fetal heart rate variability analysis for neonatal acidosis prediction
[Type] => main
)
)
)
[BibRelationships] => Array
(
[HasContributorRelationships] => Array
(
[0] => Array
(
[PersonEntity] => Array
(
[Name] => Array
(
[NameFull] => Laurent Storme
)
)
)
[1] => Array
(
[PersonEntity] => Array
(
[Name] => Array
(
[NameFull] => J. De Jonckheere
)
)
)
[2] => Array
(
[PersonEntity] => Array
(
[Name] => Array
(
[NameFull] => Véronique Houfflin-Debarge
)
)
)
[3] => Array
(
[PersonEntity] => Array
(
[Name] => Array
(
[NameFull] => Charles Garabedian
)
)
)
[4] => Array
(
[PersonEntity] => Array
(
[Name] => Array
(
[NameFull] => Louise Ghesquiere
)
)
)
[5] => Array
(
[PersonEntity] => Array
(
[Name] => Array
(
[NameFull] => M.-A. Gatellier
)
)
)
)
[IsPartOfRelationships] => Array
(
[0] => Array
(
[BibEntity] => Array
(
[Dates] => Array
(
[0] => Array
(
[D] => 25
[M] => 05
[Type] => published
[Y] => 2020
)
)
[Identifiers] => Array
(
[0] => Array
(
[Type] => issn-print
[Value] => 15732614
)
[1] => Array
(
[Type] => issn-print
[Value] => 13871307
)
[2] => Array
(
[Type] => issn-locals
[Value] => edsair
)
)
[Numbering] => Array
(
[0] => Array
(
[Type] => volume
[Value] => 35
)
)
[Titles] => Array
(
[0] => Array
(
[TitleFull] => Journal of Clinical Monitoring and Computing
[Type] => main
)
)
)
)
)
)
)
|
| IllustrationInfo |