Blood pressure

The Relationship Between Blood Pressure and Mortality Risk

Blood pressure is a critical vital sign with significant implications for mortality across different populations. Current scientific evidence reveals a complex relationship between blood pressure measures and mortality risk, characterized by important variations based on age, health status, and specific blood pressure parameters. This report synthesizes current understanding of how blood pressure relates to mortality risk based on recent research findings.

J-Curve Relationship Between Blood Pressure and Mortality

One of the most consistent findings in blood pressure research is the J-shaped or U-shaped relationship between blood pressure measurements and mortality risk. This pattern indicates that both excessively high and low blood pressure values are associated with increased mortality.

Systolic Blood Pressure (SBP)

Studies demonstrate a clear J-curve relationship between systolic blood pressure and all-cause mortality1. After adjusting for confounding factors, research has identified approximately 135 mmHg as the nadir (point of lowest risk) for systolic blood pressure1. Both values below and above this point are associated with progressively increasing mortality risk.

Low systolic blood pressure (particularly <90 mmHg) is associated with significantly higher mortality risks, especially when combined with low diastolic blood pressure2. This finding has important implications for blood pressure management, suggesting that excessive lowering of blood pressure may be harmful in certain populations.

Diastolic Blood Pressure (DBP)

Diastolic blood pressure similarly shows a reverse J-curve relationship with mortality risk, with the lowest risk observed around 73 mmHg1. Values below 60 mmHg and above 90 mmHg are associated with increased mortality risks2. This relationship appears consistent across different studies, highlighting the importance of considering both systolic and diastolic measurements when assessing mortality risk.

Optimal Blood Pressure Ranges for Lowest Mortality Risk

Research on Time in Target Range (TTR) provides valuable insights into optimal blood pressure levels for reducing mortality risk. TTR reflects the proportion of time that blood pressure measurements remain within a specified target range.

Target Ranges Associated with Lower Mortality

Studies have identified several target ranges associated with lower all-cause mortality:

  • SBP 110-130 mmHg: Higher TTR in this range was associated with significantly decreased risks of all-cause mortality (hazard ratio 0.85)3
  • SBP 120-140 mmHg: Higher TTR in this range was associated with significantly decreased risks of all-cause mortality (hazard ratio 0.81)34
  • DBP 70-80 mmHg: Higher TTR in this range was associated with significantly decreased risks of all-cause mortality (hazard ratio 0.88)3

These findings underscore the importance of maintaining blood pressure consistently within these optimal ranges rather than focusing solely on single measurements. Patients with systolic blood pressure levels within the therapeutic range (120-140 mmHg) had significantly lower mortality rates than patients with blood pressure levels above or below this range4.

Age-Related Variations in the Blood Pressure-Mortality Relationship

The relationship between blood pressure and mortality varies significantly across age groups.

Older Adults (65+ years)

In adults aged over 65 years, the J-curve relationship between blood pressure and mortality is particularly pronounced, with a nadir for systolic/diastolic blood pressure around 142/73 mmHg1. This suggests that older adults may tolerate and even benefit from slightly higher blood pressure levels compared to younger adults.

Middle-Aged Adults (40-64 years)

For adults aged 40-64 years, the association between hypertension and cardiovascular mortality is especially strong5. In this age group, the relationship between blood pressure and mortality tends to be more linear, with risks increasing with higher systolic and lower diastolic blood pressure1.

Combined Effects of Blood Pressure Parameters

The joint effects of different blood pressure parameters provide important insights into mortality risk assessment.

Systolic and Diastolic Combinations

The combination of systolic and diastolic blood pressure levels is particularly important for predicting mortality risk. Research examining various combinations found that individuals with both low systolic (<90 mmHg) and low diastolic (<60 mmHg) blood pressure had the highest relative risk of mortality (HR=2.34) among those with cardiovascular conditions2.

Individuals with normal systolic but low diastolic blood pressure also showed elevated mortality risk (HR=1.45) among those with cardiovascular conditions at baseline2. This highlights the importance of considering both parameters when assessing mortality risk.

Impact of Health Status on Blood Pressure-Mortality Relationship

Pre-existing health conditions significantly modify the relationship between blood pressure and mortality.

Cardiovascular Disease

For individuals with pre-existing cardiovascular conditions, the association between low blood pressure and increased mortality is more pronounced2. This may reflect reverse causality, where serious cardiovascular diseases lead to lower blood pressure, or it may indicate that these individuals are more vulnerable to the adverse effects of low blood pressure.

Frailty in Elderly Populations

In elderly populations, frailty status significantly modifies the relationship between blood pressure and mortality. Research shows that frail patients have higher mortality regardless of their blood pressure levels, while non-frail patients with systolic BP levels <140 mmHg have better prognosis6. This suggests that frailty may be an important marker for identifying elderly patients who might benefit from different blood pressure management approaches.

Implications for Blood Pressure Management

These findings have important implications for blood pressure management strategies:

Treatment Targets

Meta-analyses indicate that treatment to lower blood pressure is associated with reduced mortality if baseline systolic blood pressure is 140 mmHg or above, while the effect may be neutral for primary prevention when baseline SBP is below 140 mmHg7. This suggests that treatment targets should be informed by individual baseline blood pressure levels and overall cardiovascular risk.

The concept of Time in Target Range provides an additional framework for blood pressure management, emphasizing the importance of maintaining consistent blood pressure control within optimal ranges rather than focusing on single measurements34.

Conclusion

The relationship between blood pressure and mortality risk follows a J-shaped curve, with increased risks at both high and low extremes. Current evidence suggests optimal ranges of approximately 110-119 mmHg for systolic and 70-79 mmHg for diastolic blood pressure in most adults, with important variations by age and clinical status.

The combined effects of systolic and diastolic blood pressure are particularly important, with the highest risk observed in those with both low systolic and diastolic pressures, especially among individuals with pre-existing cardiovascular conditions. Age and health status, particularly frailty in older adults, significantly modify the blood pressure-mortality relationship, highlighting the need for individualized approaches to blood pressure management.

Future research should continue to clarify optimal blood pressure targets for specific populations and explore mechanisms underlying the J-curve phenomenon to guide more precise and personalized blood pressure management strategies.

Footnotes

  1. https://pmc.ncbi.nlm.nih.gov/articles/PMC8412835/ 2 3 4 5

  2. https://pmc.ncbi.nlm.nih.gov/articles/PMC7646937/ 2 3 4 5

  3. https://www.ahajournals.org/doi/10.1161/HYPERTENSIONAHA.124.24013 2 3 4

  4. https://pmc.ncbi.nlm.nih.gov/articles/PMC5721788/ 2 3

  5. https://www.nature.com/articles/s41440-025-02151-w

  6. https://www.nature.com/articles/s41440-021-00769-0

  7. https://pmc.ncbi.nlm.nih.gov/articles/PMC5833509/