fbpx
01 / 05
Neonatal Suffering: How We Came to Care Through Data

Blog Post | Health Systems

Neonatal Suffering: How We Came to Care Through Data

Evidence-based medicine gives a voice to the voiceless.

Summary: For much of modern history, newborns endured surgeries without pain relief. Doctors wrongly believed they couldn’t feel pain. This began to change in the 1980s and ’90s, when research revealed newborns’ physiological and behavioral pain responses—leading to new standards of neonatal care. The shift was driven by the rise of evidence-based medicine, which replaced tradition and expert intuition with clinical data—ultimately transforming infant surgery and global health outcomes.


Millions of newborns or “neonates” worldwide undergo invasive surgeries in their first 28 days of life. These infants are quickly put on operating tables and cut open, tubes inserted into their bodies, scalpels, and forceps probing and manipulating their organs after just entering the world. And for decades, these newborns were conscious of their pain. For the sake of successful surgeries, neonates were often given muscle relaxers to paralyze their resistance, but they still felt the sensations of scalpel incisions, open heart surgery, and chest tube insertions.

Prior to the 1980s, it was a common misconception that newborns or “neonates” did not experience severe pain. Medical experts relied on outdated theories suggesting that newborns couldn’t experience pain due to memory limitations and because their cerebral cortex had not yet undergone myelination, the process through which nerve fibers develop the capacity to rapidly transmit pain signals. General anesthesia to fully numb the neonate from pain was considered too risky for infants at the time, making experimentation unjustifiable for most researchers.

Countering this myth, in 1987, Dr. K.J.S. Anand and Dr. P.R. Hickey found that infants who undergo operations without anesthesia reported severe stress responses with steep spikes in cortisol and adrenaline levels. In their study, neonates expressed complex behavioral responses, which proved that the infants’ attempts to resist or avoid pain when not sedated were not mere reflexes. Dr. Anand later ran a randomized trial on neonates given fentanyl and found that neonates who were given no fentanyl anesthetic not only endured severe pain but suffered from “circulatory and metabolic complications postoperatively.”

Later, in 2010, scientists discovered that the nerve endings they previously thought could not communicate pain to the brain prior to myelination were signaling pain in neonates, but at a slower rate. More progress in this field is expected to continue as studies in local and regional anesthetics show that such treatments lower neonatal overdose risks and reduce opioid use.

In 1987, the American Academy of Pediatrics deemed neonatal operations without local anesthetic unethical, and US medical practices shifted to implement neonatal anesthetic. It may seem easy to assume that the medical community must not have considered them sentient beings worthy of painless procedures. However, experimenting with infants and fentanyl is not without its risks. Thus, doctors had reason to perpetuate tradition and old expert practices of anesthetic-free procedures, even if at the cost of infant suffering.

The true impetus for change in neonatal treatment was not mere compassion but a transformative paradigm shift in medical practice. While clinical research was not new to medicine, previously, doctors often favored expert opinion by the doctors with respected practice and reputation. However, doctors like Dr. Gordon Guyatt of McMaster University made a formal push in the 1990s for “Evidence-Based Medicine” (EBM), which “de-emphasizes intuition, unsystematic clinical experience, and pathophysiologic rationale as sufficient grounds for clinical decision making and stresses the examination of evidence from clinical research.” Put another way, the opinions of individual doctors would not take precedence over evidence-backed medical research.

The previous reliance on expert opinion created biased data and a lack of standardization for procedural techniques and diagnoses. Thus, a doctor in California could perform hernia repair surgery in a technique radically different from a doctor in New York. But, as the EBM movement advocated, it is unlikely that two differing procedures have identical success rates. After realizing the benefits of prioritizing systematic reviews/meta-analyses, cross-sectional studies, and randomized control trials over the experiences of seasoned doctors, the medical community was capable of greater safe experimentation and findings. Additionally, with the onset of digitized medical records, tracking medical data over time is much faster and cheaper. Thanks to the efforts of clinical researchers and evidence favoring doctors, we live in a world filled with data and research capable of tailoring high-risk anesthetics to the infants who just entered our world.

Over the past four decades, the use of anesthesia for newborns has become more standardized in all developed countries. Furthermore, with the globalization of medical knowledge, more low and middle-income countries have access to advanced anesthetic treatments capable of safely sedating infants and preventing severe pain in operations. Digitization of medical records, remote training, and the standardization of best practices have together increased global access to neonatal anesthesia.

Furthermore, according to the Institute For Health Metrics and Evaluation, newborn deaths preventable by neonatal surgery (e.g., congenital defects and birth trauma injuries) have also been on a steep decline since the international standardization of medicine and the onset of global health initiatives. On the whole, neonatal disorder deaths are steeply declining. That’s partly a consequence of surgery—now with safe neonatal anesthetic. With more advanced medical practices and anesthetic procedures now shared with and adopted by developing countries, global inequality in infant welfare overall is decreasing.

This transformation in neonatal concern not only represents our increased sensitivity to human suffering but also demonstrates how valuing empirical research enables us to identify and prevent such harm.

Scientific American | Health Systems

A Century of Hair Clippings Show Lead Exposure Rates Have Plummeted

“Hair ‘is really a vault of information,’ says Ken Smith, a demographer at the University of Utah. He should know—he’s among a team of scientists that analyzed chemicals found in hair samples collected over the course of more than a century in research published on February 2 in Proceedings of the National Academy of Sciences USA. Incredibly, Smith and his colleagues found that exposure to lead—a dangerous heavy metal—has fallen by a factor of more than 100 since the 1960s.”

From Scientific American.

Nature | Health Systems

48 Hours Without Lungs: Artificial Organ Saved Man Until Transplant

“A 33-year-old man survived for 48 hours without his lungs, after a medical team replaced the organs with an external artificial-lung system that it developed to keep him alive until he could receive a double lung transplant.

There have been cases in which people have had their lungs removed and been connected to an external device to maintain oxygen levels. But, the devices used in these cases don’t count as artificial lungs because they do not maintain blood flow across the heart, meaning it cannot function normally, says Ankit Bharat, a thoracic surgeon at Northwestern University Feinberg School of Medicine in Chicago, Illinois, who helped to develop the artificial system.

Bharat says his team’s design is unique because it maintains a balanced and continuous flow of blood to the heart, reducing the risk of blood clots that could trigger a heart attack. The findings were published today in the journal Med.”

From Nature.

The Guardian | Health & Demographics

Google’s New AI Tool to Identify Genetic Drivers of Disease

“Researchers at Google DeepMind have unveiled their latest artificial intelligence tool and claimed it will help scientists identify the genetic drivers of disease and ultimately pave the way for new treatments.

AlphaGenome predicts how mutations interfere with the way genes are controlled, changing when they are switched on, in which cells of the body, and whether their biological volume controls are set to high or low…

The researchers trained AlphaGenome on public databases of human and mouse genetics, enabling it to learn connections between mutations in specific tissues and their impact on gene regulation. The AI can analyse up to 1m letters of DNA code at once and predict how mutations will affect different biological processes.

The DeepMind team believes the tool will help scientists map out which strands of genetic code are most essential for the development of particular tissues, such as nerve and liver cells, and pinpoint the most important mutations for driving cancer and other diseases. It could also underpin new gene therapies by allowing researchers to design entirely new DNA sequences – for example, to switch on a certain gene in nerve cells but not in muscle cells.”

From The Guardian.

Kun.uz | Health Systems

Maternal Deaths in Uzbekistan Drop amid Healthcare Reforms

“Protecting the health of mothers and children has been identified as one of the priority areas of state policy in Uzbekistan. In recent years, a significant decline has been recorded in maternal and child mortality indicators.

According to data provided by the ‘Family and Gender’ Research Institute, maternal mortality stood at 65.3 deaths per 100,000 live births in 1991. To date, this figure has fallen to 14.8. This means that maternal mortality has declined by nearly 4.5 times over a period of more than 30 years.

Positive trends are also being observed in infant mortality and mortality among children under the age of five. In particular, in 1991 infant mortality amounted to 35.5 deaths per 1,000 live births, while mortality among children under five stood at 48.2. Currently, these indicators have decreased to 9 and 12.5, respectively.”

From Kun.uz.