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Related Concept Videos

Life Histories01:29

Life Histories

Constrained by limited energy and resources, organisms must compromise between offspring quantity and parental investment. This trade-off is represented by two primary reproductive strategies; K-strategists produce few offspring but provide substantial parental support, whereas r-strategists produce much progeny that receives little care. These strategies are related to an organism’s survival likelihood across its lifespan, which is represented by a survivorship curve. Three general types of...
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Hazard Rate

The hazard rate, also known as the hazard function or failure rate, is a statistical measure used to describe the instantaneous rate at which an event occurs, given that the event has not yet happened. From a probabilistic perspective, it represents the likelihood that a subject will experience the event in a very small time interval, conditional on surviving up to the beginning of that interval. In terms of frequency, the hazard rate can be viewed as the ratio of the number of events to the...
Actuarial Approach01:20

Actuarial Approach

The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
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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 researchers try to extrapolate results...
Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and Cox...
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Longitudinal Studies

Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...

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Correction: Grewal et al. Diversity and Representation in Cardiovascular Research: Evidence Gaps, Emerging Models, and Policy Implications. <i>Int. J. Environ. Res. Public Health</i> 2026, <i>23</i>, 241.

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Updated: Jun 15, 2026

A Piglet Perinatal Asphyxia Model to Study Cardiac Injury and Hemodynamics after Cardiac Arrest, Resuscitation, and the Return of Spontaneous Circulation
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Qualineo Strategy Indicators Associated with Neonatal Death: A Cross-Sectional Study.

Camila Evangelista de Sousa Campelo1, Cynthia Roberta Dias Torres Silva2, Rejane Corrêa Marques1

  • 1Nursing Graduate School, Universidade Federal do Piauí, Teresina 64049-550, Brazil.

International Journal of Environmental Research and Public Health
|August 29, 2024
PubMed
Summary
This summary is machine-generated.

Maternal drug use and Neonatal Intensive Care Unit (NICU) admission predict term newborn deaths. For premature infants, NICU admission, low Apgar scores, and cannula ventilation are key predictors of mortality.

Keywords:
infant mortalitymaternal and child health servicesneonatal nursingnewbornperinatal care

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Area of Science:

  • Neonatal Medicine
  • Public Health
  • Epidemiology

Background:

  • The Qualineo Strategy is a Brazilian initiative to reduce neonatal mortality in high-risk areas.
  • It also serves to enhance teamwork and neonatal care.
  • This study focuses on a reference maternity hospital in Piauí, Brazil.

Purpose of the Study:

  • To analyze predictors of neonatal death within the Qualineo Strategy's care indicators.
  • To identify specific risk factors contributing to mortality in newborns.
  • To inform targeted interventions for neonatal mortality reduction.

Main Methods:

  • Retrospective analysis of 1856 newborn records from 2021-2022.
  • Application of Pearson's chi-squared test for variable association.
  • Utilized a predictive regression model to identify mortality predictors.

Main Results:

  • Significant associations (p < 0.05) were found between neonatal variables and mortality.
  • For term newborns, maternal drug use and NICU admission were significant predictors.
  • For premature newborns, predictors included cannula ventilation, Apgar score <7 at 1 minute, and NICU admission.

Conclusions:

  • Findings highlight critical factors influencing neonatal mortality.
  • Results can inform the development of more effective, context-specific strategies.
  • Reinforces the crucial role of prenatal care in neonatal outcomes.