Sepsis is often misdiagnosed, or just missed. That may change soon.

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Discussion Overview

The discussion centers around the challenges of diagnosing sepsis, a condition that leads to significant mortality in the United States. Participants explore the complexities of current diagnostic methods, the potential role of artificial intelligence in improving early detection, and the implications of misdiagnosis. The conversation touches on clinical practices, patient experiences, and the impact of hospital-acquired infections.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested
  • Conceptual clarification

Main Points Raised

  • Some participants highlight the high mortality rate associated with sepsis and the difficulties in timely diagnosis, particularly due to the complexity of the condition.
  • There is mention of an AI-based early-warning system developed by Johns Hopkins that reportedly improved detection rates of sepsis.
  • One participant shares personal experience from working in an eye bank, noting the visual indicators of sepsis and the lack of a reliable blood test for the condition.
  • Another participant discusses the prevalence of sepsis deaths occurring in hospitals, particularly among vulnerable patients, and the challenges posed by antibiotic resistance.
  • Concerns are raised about the effectiveness of current diagnostic criteria, such as the SIRS criteria, which may lead to false positives.
  • Some participants express skepticism about the potential of AI to significantly improve outcomes, suggesting that continuous monitoring may be more effective.

Areas of Agreement / Disagreement

Participants express a range of views on the effectiveness of current diagnostic methods and the role of AI in improving sepsis detection. There is no consensus on the best approach to address the challenges of diagnosing sepsis, and multiple competing perspectives remain.

Contextual Notes

Participants note limitations in current diagnostic criteria and the complexities of sepsis as a condition, including its relationship with immune responses and the impact of hospital-acquired infections. The discussion reflects varying experiences and interpretations of sepsis diagnosis and treatment.

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TL;DR
Each year in the United States, sepsis kills more than a quarter million people—more than stroke, diabetes, or lung cancer.

That may soon change. Back in July, Johns Hopkins researchers published a trio of studies in Nature Medicine and npj Digital Medicine showcasing an early-warning system that uses artificial intelligence.
Doctors Still Struggle to Diagnose a Condition That Kills More Americans Than Stroke
https://www.theatlantic.com/health/...telligence-diagnosing-early-detection/671755/
Each year in the United States, sepsis kills more than a quarter million people—more than stroke, diabetes, or lung cancer. One reason for all this carnage is that if sepsis is not detected in time, it’s essentially a death sentence. Consequently, much research has focused on catching sepsis early, but the condition’s complexity has plagued existing clinical support systems—electronic tools that use pop-up alerts to improve patient care—with low accuracy and high rates of false alarm.

That may soon change. Back in July, Johns Hopkins researchers published a trio of studies in Nature Medicine and npj Digital Medicine showcasing an early-warning system that uses artificial intelligence. The system caught 82 percent of sepsis cases and significantly reduced mortality. While AI—in this case, machine learning—has long promised to improve health care, most studies demonstrating its benefits have been conducted using historical data sets.

Given such complexity, over the past decade, doctors have increasingly leaned on electronic health records to help diagnose sepsis, mostly by employing a rules-based criteria—if this, then that.

One such example, known as the SIRS criteria, says a patient is at risk of sepsis if two of four clinical signs—body temperature, heart rate, breathing rate, white-blood-cell count—are abnormal. This broadness, although helpful for catching the various ways sepsis might present itself, triggers countless false positives. Take a patient with a broken arm: “A computerized system might say, ‘Hey, look, fast heart rate, breathing fast.’ It might throw an alert,” says Cyrus Shariat, an ICU physician at Washington Hospital in California. The patient almost certainly doesn’t have sepsis but would nonetheless trip the alarm.

. . . .

It's important to clean wounds (breaks in the skin or inside surface), even if they appear minor.

Interesting application of AI to help diagnose patients.
 
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That's interesting. I didn't know it was a issue.

I used to work for an eye bank collecting corneas and eyeballs from from well documented dead people. Those with sepsis didn't qualify since you don't want to introduce disease with tissues that get transplanted into someone.
By looking at the bodies you could get an idea of whether they had sepsis or not (along with medial notes on the patient). Sepsis would look like a intense blush on the skin and was usually patchy in different areas of the body. In addition, we would always get blood samples from the deceased person which would be screened for a number of diseases in the eye bank lab. Apparently there is not a good sepsis blood test.

When I was working on a ship once a guy got infected blood (bacteria in blood), which (as far as I know as a non-medical person) is distinct from sepsis (bacteria in tissues) and also very serious. His blood vessels were distinctively very bright red, which I never saw with sepsis infected people.
They helicoptered him right out of there as soon as they got the ship in range.
 
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Ummm...

Many - if not most - of those sepsis deaths (often ascending urosepsis) happen in the course of hospital treatment. Often in patients that are very sick to begin with, venerable, have an immune disorder, or are temporarily immunocompromised (like during oncologic chemotherapy or a high-dose corticosteroid treatment for diseases like rheuma). It's a sad aspect of the workload doctors and nurses have to handle, that not-so-rarely the symptoms are registered rather late...

Also, hospital-acquired germs have the nasty tendency to be multiresistant - which means that the standard first line antibiotic therapy often is mostly ineffective, and only after two days, when the antibiogram is there, an effective antibiotic will be administered. Also, these tend to be darn expensive, daily treatment costs being in the four-digit-range in EU and US.
 
Sepsis: Woman, 24, dies weeks after getting flu symptoms
https://www.bbc.com/news/uk-wales-65191845
The family of a 24-year-old woman who died of sepsis just weeks after developing a sore throat have said they want others to be aware of the symptoms of the infection.

Bethannie Booth from Merthyr Tydfil said goodbye to her family and even planned her own funeral before being put into a coma.

After discovering red bumps on her face, Bethannie called NHS 111 and was told it was probably acne.
. . .

After going to Royal Glamorgan Hospital in Llantrisant, Rhondda Cynon Taf on 5 March, Bethannie discovered she had strep A and a collapsed lung.

She then developed sepsis, a life-threatening condition where the body's immune system overreacts to an infection and starts to damage tissues and organs.

Bethannie was transferred to Guy's and St Thomas' Hospital in London where she spent two-and-a-half weeks on an ECMO machine, which takes over a person's breathing using an artificial lung.

After showing good progress, Bethannie was transferred back to the Royal Glamorgan Hospital where she re-developed sepsis and died on 31 March surrounded by her family.
 
Godot_ said:
Ummm...

Many - if not most - of those sepsis deaths (often ascending urosepsis) happen in the course of hospital treatment. Often in patients that are very sick to begin with, venerable, have an immune disorder, or are temporarily immunocompromised (like during oncologic chemotherapy or a high-dose corticosteroid treatment for diseases like rheuma). It's a sad aspect of the workload doctors and nurses have to handle, that not-so-rarely the symptoms are registered rather late...

Also, hospital-acquired germs have the nasty tendency to be multiresistant - which means that the standard first line antibiotic therapy often is mostly ineffective, and only after two days, when the antibiogram is there, an effective antibiotic will be administered. Also, these tend to be darn expensive, daily treatment costs being in the four-digit-range in EU and US.
According to the CDC @87% of cases occur before hospitalisation, but all the things you mention are recognised as risk factors but it gets confusing when we recognise sepsis as an abnormal immune response and drugs that suppress this response, like steroids are an important part of the treatment. As with most serious infections it is usually the very young and the very old who are most at risk. Recently, many of the people admitted to ITU with Covid 19 met the criteria for Viral Sepsis.
I think your comment about the workload of health professionals is important, the speed at which sepsis causes changes really needs fairly continuous monitoring to avoid missing important red flags. I thought the idea of A.I. was interesting but might simply be part of the AI hype. I suspect any form of continuous monitoring that identified key symptoms, whether informed by machine learning or A.I. or not is what would make a difference in these cases. In at least one of the articles they describe alerts leading to an immediate clinicians assessment, this is similar to many other forms of monitoring and its already the case that many medical monitoring devices are becoming increasingly multifunctional.
 
Update: The recent death (at age 41 years) of NASCAR Cup Series champion Kyle Busch is raising awareness of sepsis, which appears to happen far too often.

https://health.yahoo.com/conditions...st-people-misunderstand-sepsis-190046149.html
The death of NASCAR Cup Series champion Kyle Busch, whose family said he had severe pneumonia that progressed to sepsis, has renewed questions about a condition many people have heard of but few fully understand.

Sepsis is more common and more unpredictable than most people realize.

As a urologist, I frequently care for patients who arrive in the emergency room with infected kidney stones. The symptoms often started days earlier: flank pain, fevers, chills, nausea or a general feeling that something was not right. By the time they get to the emergency room, some look visibly ill: heart rate up, blood pressure low, tired and sometimes confused.

This is no longer just an infection. This is sepsis, the body’s extreme response to infection.

Pneumonia isn’t the only infection that can lead to sepsis. A skin infection that keeps spreading and raises your heart rate. A urinary tract infection that suddenly lowers your blood pressure. An infected kidney stone that raises your temperature – these are not just infections anymore. They could be sepsis.

https://us.cnn.com/2026/05/22/sport/kyle-busch-death
NASCAR driver Kyle Busch required medical attention on Wednesday (May 20) after coughing up some blood and experiencing shortness of breath while getting ready for this weekend’s Coca-Cola 600.

According to a 911 call obtained by CNN in response to a request for recordings related to Busch’s medical emergency, a caller – whose name is redacted in the recording – asks for an ambulance to come to a training facility in Concord, North Carolina.

He probably should have seen a doctor the day before! There must have been indications/symptoms days before he became septic.

The Wikipedia article on Kyle Busch states "On May 16, he said that he was still experiencing symptoms and described his cough as "substantial", which is attributed to an article in the Tennessean. He had been suffering from a 'sinus cold', which could have been a streptococcal infection.
https://www.tennessean.com/story/sp...scar-cause-of-death-what-to-know/90204094007/

Streptococcus pneumoniae is also know as pneumococcus. "Community-acquired pneumonia (CAP) is the seventh leading cause of death in the United States, . . . "
https://www.ncbi.nlm.nih.gov/books/NBK470537/
 
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