Pulmonary Vein Stenosis in Infants: A Systematic Review, Meta-Analysis, and Meta-Regression

Carl H Backes1, Erin Nealon2, Aimee K Armstrong3

  • 1Department of Pediatrics, Nationwide Children's Hospital and The Ohio State University, Columbus, OH; The Heart Center, Nationwide Children's Hospital, Columbus, OH; Department of Obstetrics and Gynecology, The Ohio State University, Columbus, OH; Center for Perinatal Research, The Research Institute at Nationwide Children's Hospital, Columbus, OH.

Insights

Infants with pulmonary vein stenosis (PVS) have a high mortality rate of 58.5%. Outcomes worsen with more severe or bilateral PVS, highlighting the need for better research.

Area of Science:

  • Pediatric Cardiology
  • Neonatal Health
  • Vascular Biology

Background:

  • Pulmonary vein stenosis (PVS) is a rare but serious condition in infants.
  • Understanding the outcomes and prognosis of PVS is crucial for early intervention and management.
  • Primary PVS in infants presents unique challenges due to its congenital nature and potential for rapid progression.

Purpose of the Study:

  • To quantify the outcomes of infants diagnosed with pulmonary vein stenosis (PVS).
  • To determine the mortality incidence in infants with primary PVS.
  • To identify factors influencing mortality in this vulnerable population.

Main Methods:

  • A systematic literature search was conducted across MEDLINE (PubMed), Scopus, and Web of Science up to February 1, 2017.
  • Included studies focused on infants (<1 year) with primary PVS, defined as absence of prior interventions.
  • Data were pooled using an inverse variance heterogeneity model, with mortality as the primary outcome.

Main Results:

  • Forty-eight studies comprising 185 infants were analyzed.
  • The pooled mortality incidence for infants with PVS was 58.5%.
  • Higher mortality was observed in infants with 3-4 vein stenoses (83.3%) versus 1-2 (36.1%) and in those with bilateral (78.7%) versus unilateral disease (26.0%).

Conclusions:

  • Estimates of prognosis for primary PVS in infancy remain uncertain due to variability in study quality and outcomes.
  • Multicenter, interdisciplinary collaborations are essential to standardize measurements and improve understanding.
  • Further research is needed to address the limitations of current data and improve clinical outcomes for infants with PVS.
Abstract

Related Concept Videos

Directing Effect of Substituents: meta-Directing Groups01:09

Directing Effect of Substituents: meta-Directing Groups

Substituents on the benzene ring that direct an incoming electrophile to undergo substitution at the meta position are called meta directors. All meta directors either have a positive charge on the atom directly bonded to the ring or a partial positive charge. These groups function by withdrawing electrons from the ring through inductive and resonance effects. Consider the carbocation intermediates formed upon the addition of an electrophile on nitrobenzene at the...
6.0K
Regression Analysis01:11

Regression Analysis

Regression analysis is a statistical tool that describes a mathematical relationship between a dependent variable and one or more independent variables.
In regression analysis, a regression equation is determined based on the line of best fit– a line that best fits the data points plotted in a graph. This line is also called the regression line. The algebraic equation for the regression line is called the regression equation. It is represented as:
8.4K
meta-Directing Deactivators: &ndash;NO2, &ndash;CN, &ndash;CHO, &ndash;&NoBreak;CO2R, &ndash;COR, &ndash;CO2H01:13

meta-Directing Deactivators: –NO2, –CN, –CHO, –⁠CO2R, –COR, –CO2H

All meta-directing substituents are deactivating groups. These substituents withdraw electrons from the aromatic ring, making the ring less reactive toward electrophilic substitution. For example, the nitration of nitrobenzene is 100,000 times slower than that of benzene because of the deactivating effect of the nitro group. The first step in an electrophilic aromatic substitution is the addition of an electrophile to form a resonance-stabilized carbocation. The energy diagrams for...
6.8K
Regression Toward the Mean01:52

Regression Toward the Mean

Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
7.2K
Microsoft Excel: Regression Analysis01:18

Microsoft Excel: Regression Analysis

Regression analysis in Microsoft Excel is a powerful statistical method for examining the relationship between a dependent variable and one or more independent variables. It's used extensively in fields such as economics, biology, and business to predict outcomes, understand relationships, and make data-driven decisions. The most common type is linear regression, which attempts to fit a straight line through the data points to model the relationship between variables.
To perform regression...
1.6K
Multiple Regression01:25

Multiple Regression

Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
4.0K