{"title":"Preoperative autonomic failure in neonates with critical congenital heart disease","authors":"R.B. Govindan , Stefano Pezzato , Julius Ngwa , Anita Krishnan , Eleni Panagopoulos , Venkata Chaitanya Chirumamilla , Adre du Plessis","doi":"10.1016/j.earlhumdev.2024.106165","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Neonates with critical congenital heart disease (cCHD) undergo a complicated transition to ex-utero life. However, continuous monitoring of autonomic tone using heart rate variability is currently lacking.</div></div><div><h3>Materials and methods</h3><div>We retrieved continuous electrocardiograms from the time of admission or from 10 days prior to surgery for neonates with dextro-transposition of the great arteries (d-TGA) and hypoplastic left heart syndrome (HLHS). Beat-to-beat intervals (RRi) were calculated and divided into 10-min epochs. Spectral metrics, including low-frequency (LF) and high-frequency (HF) powers, as well as detrended fluctuation analysis metrics (<span><math><msub><mi>α</mi><mi>S</mi></msub></math></span>, <span><math><msub><mi>α</mi><mi>L</mi></msub></math></span>, <span><math><mi>RM</mi><msub><mi>S</mi><mi>S</mi></msub></math></span>, and <span><math><mi>RM</mi><msub><mi>S</mi><mi>L</mi></msub></math></span>), were computed for RRi within each epoch and averaged over 24 h. The relationship between RRi metrics and time to surgery was analyzed using linear mixed-effects models, adjusting for prenatal and postnatal factors.</div></div><div><h3>Results</h3><div>The study included 10 neonates with HLHS and 23 with d-TGA. RRi metrics were available for 110 days. In the unadjusted models, LF power (Estimate: −4.4×<span><math><msup><mn>10</mn><mrow><mo>−</mo><mn>3</mn></mrow></msup></math></span>, <em>P</em> = 0.02), HF power (−4.1 x <span><math><msup><mn>10</mn><mrow><mo>−</mo><mn>2</mn></mrow></msup></math></span>, 5 x <span><math><msup><mn>10</mn><mrow><mo>−</mo><mn>5</mn></mrow></msup></math></span>), <span><math><mi>RM</mi><msub><mi>S</mi><mi>S</mi></msub><mspace></mspace></math></span>(−3.7 x <span><math><msup><mn>10</mn><mrow><mo>−</mo><mn>4</mn></mrow></msup></math></span>, 8.7 x <span><math><msup><mn>10</mn><mrow><mo>−</mo><mn>3</mn></mrow></msup></math></span>), and <span><math><mi>RM</mi><msub><mi>S</mi><mi>L</mi></msub></math></span>(−1.4× <span><math><msup><mn>10</mn><mrow><mo>−</mo><mn>3</mn></mrow></msup></math></span>, 0.02) were all negatively associated with time to surgery, with HF power showing the strongest association. After adjusting for covariates, HF power retained its significant negative association with time (−0.04, <em>P</em> = 0.03). The cCHD diagnosis did not significantly influence RRi metrics.</div></div><div><h3>Conclusions</h3><div>In neonates with cCHD, there is a progressive decline in autonomic function leading up to surgery. RRi metrics may serve as valuable indicators of deteriorating physiology in these patients.</div></div>","PeriodicalId":11435,"journal":{"name":"Early human development","volume":"200 ","pages":"Article 106165"},"PeriodicalIF":2.2000,"publicationDate":"2024-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Early human development","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0378378224002342","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"OBSTETRICS & GYNECOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Background
Neonates with critical congenital heart disease (cCHD) undergo a complicated transition to ex-utero life. However, continuous monitoring of autonomic tone using heart rate variability is currently lacking.
Materials and methods
We retrieved continuous electrocardiograms from the time of admission or from 10 days prior to surgery for neonates with dextro-transposition of the great arteries (d-TGA) and hypoplastic left heart syndrome (HLHS). Beat-to-beat intervals (RRi) were calculated and divided into 10-min epochs. Spectral metrics, including low-frequency (LF) and high-frequency (HF) powers, as well as detrended fluctuation analysis metrics (, , , and ), were computed for RRi within each epoch and averaged over 24 h. The relationship between RRi metrics and time to surgery was analyzed using linear mixed-effects models, adjusting for prenatal and postnatal factors.
Results
The study included 10 neonates with HLHS and 23 with d-TGA. RRi metrics were available for 110 days. In the unadjusted models, LF power (Estimate: −4.4×, P = 0.02), HF power (−4.1 x , 5 x ), (−3.7 x , 8.7 x ), and (−1.4× , 0.02) were all negatively associated with time to surgery, with HF power showing the strongest association. After adjusting for covariates, HF power retained its significant negative association with time (−0.04, P = 0.03). The cCHD diagnosis did not significantly influence RRi metrics.
Conclusions
In neonates with cCHD, there is a progressive decline in autonomic function leading up to surgery. RRi metrics may serve as valuable indicators of deteriorating physiology in these patients.
期刊介绍:
Established as an authoritative, highly cited voice on early human development, Early Human Development provides a unique opportunity for researchers and clinicians to bridge the communication gap between disciplines. Creating a forum for the productive exchange of ideas concerning early human growth and development, the journal publishes original research and clinical papers with particular emphasis on the continuum between fetal life and the perinatal period; aspects of postnatal growth influenced by early events; and the safeguarding of the quality of human survival.
The first comprehensive and interdisciplinary journal in this area of growing importance, Early Human Development offers pertinent contributions to the following subject areas:
Fetology; perinatology; pediatrics; growth and development; obstetrics; reproduction and fertility; epidemiology; behavioural sciences; nutrition and metabolism; teratology; neurology; brain biology; developmental psychology and screening.