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High Systemic Immune-Inflammation Index as a Predictor of In-Hospital and 30-Day Major Adverse Cardiovascular Events among Patients with STEMI and NSTEMI Undergoing Percutaneous Coronary Intervention: A Prospective Cohort Study

This prospective cohort study of 120 Indonesian patients undergoing PCI for STEMI or NSTEMI demonstrates that a high admission systemic immune-inflammation index (SII) independently predicts earlier in-hospital major adverse cardiovascular events, though it does not significantly forecast 30-day post-discharge outcomes.

Original authors: Maya Christiany Halim, I Kadek Susila Surya Darma, Hendy Wirawan

Published 2026-07-15
📖 5 min read🧠 Deep dive

Original authors: Maya Christiany Halim, I Kadek Susila Surya Darma, Hendy Wirawan

Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer

Imagine your heart is a busy city, and the blood vessels are the main highways. Sometimes, a traffic jam happens so bad that the city starts to shut down—that's a heart attack. Doctors use a special tool called a stent (a tiny metal tube) to clear the road, a procedure known as Percutaneous Coronary Intervention (PCI). Usually, this works great, but sometimes, even after the road is cleared, the city still has trouble.

In this study, researchers from Indonesia wanted to find a simple way to predict which patients might have trouble while they are still in the hospital. They looked at a "report card" called the Systemic Immune-Inflammation Index, or SII for short.

Think of your blood like a construction crew. It has three main types of workers:

  1. Neutrophils: The firefighters who rush to put out the inflammation fire.
  2. Platelets: The construction workers who patch up holes (clotting).
  3. Lymphocytes: The police officers who keep the peace and regulate the crew.

The SII is a score that multiplies the number of firefighters and construction workers, then divides by the number of police officers. If you have a ton of firefighters and construction workers but very few police officers, the score goes up. This means the body is in a state of "chaotic construction"—lots of inflammation and clotting, but not enough regulation.

The Big Discovery
The researchers looked at 120 patients who had heart attacks (both the severe kind called STEMI and the slightly less severe kind called NSTEMI) and got stents. They checked the SII score right when the patients arrived at the hospital.

They found a "tipping point" number: 1101.32.

  • If your SII score was below this number, you were in the "Low Risk" group.
  • If your score was above this number, you were in the "High Risk" group.

The results were pretty dramatic. Among the people with the High SII scores, 62.0% had a major bad event (like heart failure, dangerous heart rhythms, shock, or death) while they were still in the hospital. In contrast, only 18.4% of the "Low SII" group had these problems.

The study calculated that having a high SII score made a patient nearly four times more likely to have a bad event in the hospital compared to someone with a low score. It's like having a smoke alarm that is screaming "FIRE!" when the rest of the building is quiet.

What About the Other Scores?
The researchers also checked two other similar scores: the Neutrophil-to-Lymphocyte Ratio (NLR) and the Platelet-to-Lymphocyte Ratio (PLR).

  • The NLR score was slightly better at guessing who would have trouble (a score of 0.768 out of 1.0).
  • The SII score was right behind it (0.750).
  • The PLR score was a bit lower (0.738).

The paper suggests that while NLR was the "best guess" statistically, SII was still a very strong predictor and might be even better at catching the people who will get sick (it had a higher "sensitivity" of 83%). Basically, all three are good tools, but SII is a very solid choice because it looks at all three types of blood workers at once.

What the Paper Says It's NOT
It's important to know what this score didn't predict.

  • It didn't predict trouble after you go home. The study checked what happened 30 days after patients were discharged. There were very few events in total (only 3 people had issues after leaving), and the difference between the high and low groups wasn't statistically significant. So, this score is great for the hospital stay, but we can't say for sure if it predicts trouble a month later.
  • It didn't predict strokes. Interestingly, the two people who had a stroke in the study were actually in the low SII group. The paper explicitly says this score does not mean you are more likely to have a stroke.
  • It didn't prove it works for everyone. The study was done at one hospital in Indonesia with 120 people. The authors admit they need to test this in bigger groups and other places before we can say it's a universal rule.

The Bottom Line
This study suggests that a simple blood test taken when a heart attack patient arrives can act like a "chaos meter." If the SII score is high (above 1101.32), it suggests the patient's body is in a state of high inflammation and clotting, making them much more likely to have a bad event while they are still in the hospital.

The researchers say this is a low-cost, easy way to help doctors decide who needs extra close monitoring. However, they are careful to say this is a "suggestion" based on this specific group of patients, not a final, unchangeable law of medicine. It's a helpful new flashlight to shine on the most at-risk patients, but it's not the only light we need.

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