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Incremental Prognostic Value of Exertional Chest Pain Beyond PREVENT-Based Cardiovascular Risk Stratification: A Nationwide Prospective Cohort Study of Middle-Aged and Older Chinese Adults (CHARLS 2011–2020)

This nationwide prospective cohort study of Chinese adults demonstrates that simple, zero-cost questions about exertional chest pain significantly improve cardiovascular risk prediction beyond the PREVENT algorithm, particularly in females, thereby addressing a key evidence gap in the 2026 AHA/ACC/ADA/ASN guidelines.

Original authors: Zhenghui Wang, Tianfeng Zhang, Yiming Wang, Long Zhao, Dongli Shen, Biao Kong, Yongwei Yao, Chenghua Wang, Junfang Guo, Aibin Tao

Published 2026-10-20
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Original authors: Zhenghui Wang, Tianfeng Zhang, Yiming Wang, Long Zhao, Dongli Shen, Biao Kong, Yongwei Yao, Chenghua Wang, Junfang Guo, Aibin Tao

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

For decades, doctors have relied on mathematical formulas to guess who is likely to suffer a heart attack or stroke in the next ten years. These formulas, known as risk scores, act like a weather forecast for the heart. They take a person's age, blood pressure, cholesterol levels, and whether they smoke, then crunch the numbers to spit out a percentage. If the number is low, a person is told they are safe; if it is high, they are warned to take medication or change their lifestyle. This approach has become the standard for guiding medical decisions worldwide. However, these formulas have a blind spot: they often ignore what the patient actually feels. A person might have a low score on paper but still feel a tightness in their chest when they walk up a hill. For a long time, it was unclear whether listening to that feeling would actually help predict future heart trouble better than the numbers alone, especially in places where advanced medical tests are not available.

A new study involving thousands of middle-aged and older adults in China set out to answer this question. The researchers used data from a massive, long-term survey called CHARLS, which tracks the health of Chinese citizens. They focused on 7,813 people who did not have a history of heart disease or stroke at the start of the study. The team first calculated each person's risk using the standard PREVENT formula, a modern tool recommended by major health organizations. This formula estimated the chance of a cardiovascular event over the next decade based on physical measurements and medical history. They then asked a simple, two-part question about the participants' daily lives: Did you ever feel pain on the left side of your chest? And did you ever feel chest pain when climbing stairs, walking uphill, or moving quickly?

The results revealed a striking disconnect between the mathematical predictions and the reality of the participants' health. The study found that people who reported chest pain during physical exertion were significantly more likely to develop heart disease or stroke over the following nine years, even if their risk score said they were safe. In fact, a person with a low risk score who reported chest pain was at higher risk than a person with a high risk score who felt no pain at all. The data showed a clear pattern: the more symptoms a person reported, the higher their risk. Those who said they could not exert themselves at all due to health issues faced the highest danger of all. Over the nine-year period, the group with low predicted risk but chest pain saw a 31.4 percent rate of heart or stroke events, a number far higher than the formula had predicted for them.

The researchers were careful to ensure these findings were not just an artifact of the data. They checked to see if people with chest pain were simply more likely to visit doctors and get diagnosed, which could make it look like they had more heart trouble than they really did. By looking at outcomes that are less likely to be influenced by doctor visits, such as strokes, and by comparing chest pain to pain in other parts of the body, they confirmed that the link was real, though the analysis also detected a general symptom-reporting component. While the chest pain was specifically signaling a problem with the heart and lungs for those unable to exert themselves, for others the prognostic value was partly driven by a tendency to report symptoms or engage with healthcare. The study also found that this warning sign was particularly strong for women, who often experience heart disease differently than men.

When the researchers added the answers to these two simple questions to the standard risk formula, the ability to predict who would get sick improved noticeably. The formula alone was not perfect, often underestimating the risk for many people in the study. But by including the report of chest pain, the prediction became much sharper. This suggests that asking two zero-cost questions could be a powerful tool, especially in communities where expensive tests like heart scans or blood biomarkers are not available. The study concludes that these symptoms provide valuable information that the standard numbers miss. While the pain itself does not replace the need for medical evaluation, ignoring it based solely on a low risk score could be dangerous. For doctors and patients alike, the message is clear: if a person feels pain when they move, that feeling is a vital clue that deserves attention, regardless of what the calculator says.

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