Dataset Information

Normative ranges of biventricular volumes and function in healthy term newborns.

ABSTRACT:

Background

Cardiovascular magnetic resonance (CMR) is increasingly used in newborns with congenital heart disease. However, reporting on ventricular volumes and mass is hindered by an absence of normative data in this population.

Design/methods

Healthy term (37-41 weeks gestation) newborns underwent non-sedated, free-breathing CMR within the first week of life using the 'feed and wrap' technique. End-diastolic volume (EDV), end-systolic volume (ESV) stroke volume (SV) and ejection fraction (EF) were calculated for both left ventricle (LV) and right ventricle (RV). Papillary muscles were separately contoured and included in the myocardial volume. Myocardial mass was calculated by multiplying myocardial volume by 1.05 g/ml. All data were indexed to weight and body surface area (BSA). Inter-observer variability (IOV) was performed on data from 10 randomly chosen infants.

Results

Twenty healthy newborns (65% male) with a mean (SD) birth weight of 3.54 (0.46) kg and BSA of 0.23 (0.02) m2 were included. Normative LV parameters were indexed EDV 39.0 (4.1) ml/m², ESV 14.5 (2.5) ml/m² and ejection fraction (EF) 63.2 (3.4)%. Normative RV indexed EDV, ESV and EF were 47.4 (4.5) ml/m², 22.6 (2.9) ml/m² and 52.5 (3.3)% respectively. Mean LV and RV indexed mass were 26.4 (2.8) g/m² and 12.5 (2.0) g/m², respectively. There was no difference in ventricular volumes by gender. IOV was excellent with an intra-class coefficient > 0.95 except for RV mass (0.94).

Conclusion

This study provides normative data on LV and RV parameters in healthy newborns, providing a novel resource for comparison with newborns with structural and functional heart disease.

SUBMITTER: Jhaveri S

PROVIDER: S-EPMC10127416 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Normative ranges of biventricular volumes and function in healthy term newborns.

Jhaveri Simone S Battersby Ellie E Stern Kenan W D KWD Cohen Jennifer J Yang Yang Y Price Anthony A Hughes Emer E Poston Lucilla L Pasupathy Dharmintra D Taylor Paul P Vieira Matias C MC Groves Alan A

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance 20230424 1

<h4>Background</h4>Cardiovascular magnetic resonance (CMR) is increasingly used in newborns with congenital heart disease. However, reporting on ventricular volumes and mass is hindered by an absence of normative data in this population.<h4>Design/methods</h4>Healthy term (37-41 weeks gestation) newborns underwent non-sedated, free-breathing CMR within the first week of life using the 'feed and wrap' technique. End-diastolic volume (EDV), end-systolic volume (ESV) stroke volume (SV) and ejection ...[more]

PMID: 37095534

Similar Datasets

Project description:PurposeVirtual surgery planning based on computational fluid dynamics (CFD) simulations of nasal airflow has the potential to improve surgical outcomes for patients with nasal airway obstruction (NAO). Virtual surgery planning requires normative ranges of airflow variables, but few studies to date have quantified inter-individual variability of nasal airflow among healthy subjects. This study reports CFD simulations of nasal airflow in 47 healthy adults.MethodsAnatomically accurate three-dimensional nasal models were reconstructed from cone beam computed tomography scans and used for steady-state inspiratory airflow simulations with a bilateral flowrate of 250 ml/s. Normal subjective sensation of nasal patency was confirmed using the nasal obstruction symptom evaluation and visual analog scale. Healthy ranges for several CFD variables known to correlate with subjective nasal patency were computed, including unilateral airflow, nasal resistance, airspace minimal cross-sectional area (mCSA), heat flux (HF), and surface area stimulated by mucosal cooling (defined as the area where HF > 50 W/m2). The normative ranges were targeted to contain 95% of the healthy population and computed using a nonparametric method based on order statistics.ResultsA wide range of inter-individual variability in nasal airflow was observed among healthy subjects. Unilateral airflow varied from 60 to 191 ml/s, airflow partitioning ranged from 23.8 to 76.2%, and unilateral mCSA varied from 0.24 to 1.21 cm2. These ranges are in good agreement with rhinomanometry and acoustic rhinometry data from the literature. A key innovation of this study are the normative ranges of flow variables associated with mucosal cooling, which recent research suggests is the primary physiological mechanism of nasal airflow sensation. Unilateral HF ranged from 94 to 281 W/m2, while the surface area stimulated by cooling ranged from 27.4 to 64.3 cm2.ConclusionsThese normative ranges may serve as targets in future virtual surgery planning for patients with NAO.

Project description:BackgroundThis systematic review of randomized trials assessed the effect of emollient application compared to no emollient application in term or near-term healthy newborns.MethodsWe searched MEDLINE via PubMed, Cochrane CENTRAL, Embase, and CINAHL (updated until November 2021), clinical trials databases, and reference lists of retrieved articles. Key outcomes were neonatal mortality, systemic infections, atopic dermatitis, skin condition, and adverse events. Two authors separately evaluated the risk of bias, extracted data, and synthesized effect estimates using relative risks (RR). The GRADE approach was used to assess the certainty of evidence.ResultsWe screened 19 243 records and included 16 eligible trials involving 5643 participants. Five trials recruited 3352 healthy newborns (term = 728; gestation ≥35 weeks = 2624); and 11 trials included 2291 term newborns who were 'at risk' for developing atopy but were otherwise healthy. We conducted a separate analysis for these two groups of newborns. Emollient application (creams or nut, seed, and vegetable oils) started in the neonatal period and continued for four weeks to two years across studies. Meta-analysis for term healthy newborns suggests that topical emollient application may have little to no effect on atopic dermatitis (RR = 1.29, 95% CI = 0.96-1.72; two trials, 1408 newborns; low certainty evidence). Effects on food allergy (RR = 0.84; 95% CI = 0.42-1.70; one trial, 233 newborns), allergic sensitization to food allergens (RR 1.31; 95% CI 1.03 to 1.68; one trial, 234 newborns) and inhalational allergens (RR = 0.97; 95% CI = 0.44, 2.14; 1 trial, 234 newborns), skin dryness (RR = 0.74, 95% CI = 0.55-1.00; two trials, 294 newborns), and skin problems (RR = 0.92, 95% CI = 0.81-1.05; two trials, 292 newborns) were uncertain. Meta-analysis for 'at-risk' newborns suggests that intervention probably lowers the risk of atopic dermatitis (RR = 0.74, 95% CI = 0.63-0.86; 11 studies, 1988 infants; moderate certainty evidence), but may have little or no effect on food allergy and allergic sensitization to food or inhalation allergens. The effect on skin dryness and skin rash was uncertain.ConclusionsTopical emollient application may not prevent atopic dermatitis in term healthy newborns. There is little data for other skin and allergic outcomes.RegistrationPriyadarshi M, Balachander B, Rao S, Gupta S, Sankar MJ. Use of emollients in term healthy newborns: A systematic review. PROSPERO 2020 CRD42020177437.

Project description:BackgroundCardiovascular magnetic resonance (CMR) represents the clinical gold standard for the assessment of biventricular morphology and function. Since manual post-processing is time-consuming and prone to observer variability, efforts have been directed towards automated volumetric quantification. In this study, we sought to validate the accuracy of a novel approach providing fully automated quantification of biventricular volumes and function in a "real-world" clinical setting.MethodsThree-hundred CMR examinations were randomly selected from the local data base. Fully automated quantification of left ventricular (LV) mass, LV and right ventricular (RV) end-diastolic and end-systolic volumes (EDV/ESV), stroke volume (SV) and ejection fraction (EF) were performed overnight using commercially available software (suiteHEART®, Neosoft, Pewaukee, Wisconsin, USA). Parameters were compared to manual assessments (QMass®, Medis Medical Imaging Systems, Leiden, Netherlands). Sub-group analyses were further performed according to image quality, scanner field strength, the presence of implanted aortic valves and repaired Tetralogy of Fallot (ToF).ResultsBiventricular automated segmentation was feasible in all 300 cases. Overall agreement between fully automated and manually derived LV parameters was good (LV-EF: intra-class correlation coefficient [ICC] 0.95; bias - 2.5% [SD 5.9%]), whilst RV agreement was lower (RV-EF: ICC 0.72; bias 5.8% [SD 9.6%]). Lowest agreement was observed in case of severely altered anatomy, e.g. marked RV dilation but normal LV dimensions in repaired ToF (LV parameters ICC 0.73-0.91; RV parameters ICC 0.41-0.94) and/or reduced image quality (LV parameters ICC 0.86-0.95; RV parameters ICC 0.56-0.91), which was more common on 3.0 T than on 1.5 T.ConclusionsFully automated assessments of biventricular morphology and function is robust and accurate in a clinical routine setting with good image quality and can be performed without any user interaction. However, in case of demanding anatomy (e.g. repaired ToF, severe LV hypertrophy) or reduced image quality, quality check and manual re-contouring are still required.

Project description:BackgroundThis systematic review of intervention trials and observational studies assessed the effect of delaying the first bath for at least 24 hours after birth, compared to conducting it within the first 24 hours, in term healthy newborns.MethodsWe searched MEDLINE via PubMed, Cochrane CENTRAL, Embase, CINAHL (updated till November 2021), and clinical trials databases and reference lists of retrieved articles. Key outcomes were neonatal mortality, systemic infections, hypothermia, hypoglycaemia, and exclusive breastfeeding (EBF) rates. Two authors separately evaluated the risk of bias, extracted data, and synthesized effect estimates using relative risk (RR) or odds ratio (OR). The GRADE approach was used to assess the certainty of evidence.ResultsWe included 16 studies (two trials and 14 observational studies) involving 39 020 term or near-term healthy newborns. Delayed and early baths were defined variably in the studies, most commonly as >24 hours (six studies) and as ≤6 hours (12 studies), respectively. We performed a post-hoc analysis for studies that defined early bath as ≤6 hours. Low certainty evidence suggested that bathing the newborn 24 hours after birth might reduce the risk of infant mortality (OR = 0.46, 95% confidence interval (CI) = 0.28 to 0.77; one study, 789 participants) and neonatal hypothermia (OR = 0.50, 95% CI = 0.28-0.88; one study, 660 newborns), compared to bathing within first 24 hours. The evidence on the effect on EBF at discharge was very uncertain. Delayed bath beyond 6 hours (at or after nine, 12, or 24 hours) after birth compared to that within 6 hours might reduce the risk of hypothermia (OR = 0.47, 95% CI = 0.36-0.61; four studies, 2711 newborns) and hypoglycaemia (OR = 0.39, 95% CI = 0.23-0.66; three studies, 2775 newborns) and improve the incidence of EBF at discharge (OR = 1.12, 95% CI = 1.08-1.34; six studies, 6768 newborns); the evidence of the effect on neonatal mortality was very uncertain.ConclusionDelayed first bath for at least 24 hours may reduce infant mortality and hypothermia. Delayed bath for at least 6 hours may prevent hypothermia and hypoglycaemia and improve EBF rates at discharge. However, most of these conclusions are limited by low certainty evidence.RegistrationPROSPERO 2020 CRD42020177430.

Project description:Cardiovascular magnetic resonance (CMR) imaging provides reliable assessments of biventricular morphology and function. Since manual post-processing is time-consuming and prone to observer variability, efforts have been directed towards novel artificial intelligence-based fully automated analyses. Hence, we sought to investigate the impact of artificial intelligence-based fully automated assessments on the inter-study variability of biventricular volumes and function. Eighteen participants (11 with normal, 3 with heart failure and preserved and 4 with reduced ejection fraction (EF)) underwent serial CMR imaging at in median 63 days (range 49-87) interval. Short axis cine stacks were acquired for the evaluation of left ventricular (LV) mass, LV and right ventricular (RV) end-diastolic, end-systolic and stroke volumes as well as EF. Assessments were performed manually (QMass, Medis Medical Imaging Systems, Leiden, Netherlands) by an experienced (3 years) and inexperienced reader (no active reporting, 45 min of training with five cases from the SCMR consensus data) as well as fully automated (suiteHEART, Neosoft, Pewaukee, WI, USA) without any manual corrections. Inter-study reproducibility was overall excellent with respect to LV volumetric indices, best for the experienced observer (intraclass correlation coefficient (ICC) > 0.98, coefficient of variation (CoV, < 9.6%) closely followed by automated analyses (ICC > 0.93, CoV < 12.4%) and lowest for the inexperienced observer (ICC > 0.86, CoV < 18.8%). Inter-study reproducibility of RV volumes was excellent for the experienced observer (ICC > 0.88, CoV < 10.7%) but considerably lower for automated and inexperienced manual analyses (ICC > 0.69 and > 0.46, CoV < 22.8% and < 28.7% respectively). In this cohort, fully automated analyses allowed reliable serial investigations of LV volumes with comparable inter-study reproducibility to manual analyses performed by an experienced CMR observer. In contrast, RV automated quantification with current algorithms still relied on manual post-processing for reliability.

Dataset Information

Normative ranges of biventricular volumes and function in healthy term newborns.

Background

Design/methods

Results

Conclusion

Publications

Normative ranges of biventricular volumes and function in healthy term newborns.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets