What are Some Health Risks That Premature Children Face?

Premature babies often struggle to survive. However, doctors can have a hard time telling premature babies to develop serious health problems, such as respiratory failure, and which ones will get better. Today, researchers have developed a model that can predict with greater than 90% accuracy, advance a result that can help doctors identify babies with more severe symptoms and save billions of dollars in healthcare costs for premature babies. Fifty years ago, the Apgar scoring system developed by doctors Columbia University of Virginia scored the health of newborns. The Apgar scores are still standard methods, such as whether a baby's arms and legs are bent or lies, are good or not breathing at all, and whether its skin is healthy, pink or blue considerations. When it comes to predicting serious illnesses such as pulmonary hemorrhage, however, the Apgar score is correct only about 70% of the time. The new model does better with white blood cell counts and blood pH factors, however, "they need a lot of invasive testing," said Payne, Anna, at Lucille Packard Children's Hospital (LPCH) in Pa., California. Loalto, Neonatology.

Complications in preterm infants

Premature babies often struggle to survive. However, doctors can have a hard time telling premature babies to develop serious health problems, such as respiratory failure, and which ones will get better. Today, researchers have developed a model that can predict with greater than 90% accuracy, advance a result that can help doctors identify babies with more severe symptoms and save billions of dollars in healthcare costs for premature babies. Fifty years ago, the Apgar scoring system developed by doctors Columbia University of Virginia scored the health of newborns. The Apgar scores are still standard methods, such as whether a baby's arms and legs are bent or lies, are good or not breathing at all, and whether its skin is healthy, pink or blue considerations. When it comes to predicting serious illnesses such as pulmonary hemorrhage, however, the Apgar score is correct only about 70% of the time. The new model does better with white blood cell counts and blood pH factors, however, "they need a lot of invasive testing," said Payne, Anna, at Lucille Packard Children's Hospital (LPCH) in Pa., California. Loalto, Neonatology.

Chinese name

Complications in preterm infants

influences

Develop serious health problems

the way

Apgar Points System

Missing point

Premature babies often struggle to survive

Researchers, including a senior author from Pennsylvania and collaborating with Daphne Kohler, and a computer scientist at Stanford University, set out to develop a more accurate noninvasive tool that predicts the smallest serious complications in newborns. The researchers selected babies who were born in LPCH who had used the uterus for less than 35 weeks and weighed 2 kg below 138. The group classified the underlying disease as they developed high or low risk preterm infants. Babies die in the high-risk group or experience severe complications such as infections, bleeding, lung and heart problems. Babies in the low-risk group suffer only minor respiratory distress, such as minor illness.

Next, researchers routinely checked the top 3 physiological data by bedside monitoring, such as heart rate, breathing rate, battery life collected, and the amount of oxygen in the blood. When they modeled these data, they observed that signature sick babies were different from their health observations. They used these differences to develop a mathematical algorithm containing physiological data from monitors, birth weights, and the length of time in the womb to predict the probability that severe illness will occur in preterm infants. "This is a very simple measure," Payne said. "But when used in combination with sophisticated tools from computer science, we can actually treat doctors to some extent in these senses abnormally."

The output of the model is a number between 0 and 1, which is the number of researchers "PhysiScore." A higher score indicates a greater risk of complications. For example, a baby with a score of 0.8 will have an 80% chance of developing a serious illness.

PhysiScore outperformed not only the Apgar scale, but also three models, the test relies on external laboratories, and the team's report today is online for scientific translational medicine. Using PhysiScore, researchers were able to predict 98% with severe complications and accuracy of 91%. The accuracy of the Apgar score is 70% to 74%, while the accuracy of other models has been from 82% to 91%.

The researchers envisioned that the monitor could calculate and display 3 PhysiScore automatic hours after a baby's birth. This number may help doctors decide whether they should receive more aggressive baby care or move to a better equipped hospital. "[The display] has measured all these signals," said Suchi Saria, a computer scientist at Stanford University who leads the work. So it will be a "use of existing resources to make better use of the data that has been collected," she said.

"This is a huge advance in the field," said Higgins, Rosemary, a neonatal at the Institute for Child Health and Human Development in Rockville, Maryland. "Predicting the outcome of premature babies is a major challenge for doctors." However, she wanted to see if the model's smallest premature babies were at fares, those weighing less than 1 kg. "This is really the highest risk group in major development issues," she said.

Namasivayam Ambalavanan, a neonatologist at the University of Birmingham in Alabama, said physicians often use their own judgment to identify premature babies and put the fare difference. He hopes to see a research report on the clinical judgement of PhysiScore.

Payne said that it was also possible in the past to create PhysiScore jobs to identify the same techniques that high-risk surgical patients or adults are most likely to have heart disease complications.