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What is the HFRS hospital frailty score?

4 min read

Approximately one-third of older inpatients are considered frail, a condition linked to poor health outcomes. The Hospital Frailty Risk Score (HFRS) is an automated and efficient method for identifying these at-risk patients within routine hospital administrative data.

Quick Summary

The HFRS is an automated scoring system that uses routinely collected administrative data, specifically ICD-10 diagnostic codes, to quantify a patient's frailty risk, helping hospitals identify those at higher risk of adverse events like longer stays, readmissions, and mortality.

Key Points

  • Automated Risk Tool: The HFRS uses standard ICD-10 codes from a patient's medical records to automatically calculate a frailty risk score.

  • Risk Stratification: The score categorizes patients into low (<5), intermediate (5–15), and high (>15) risk groups to guide clinical decisions and resource allocation.

  • Predictive Power: A higher HFRS is strongly associated with an increased risk of poor outcomes, including longer hospital stays, higher mortality, and readmissions.

  • Efficient Screening: Unlike manual assessments, HFRS enables quick and large-scale frailty screening across entire hospital populations without additional clinical burden.

  • Proactive Care Planning: Identifying high-risk individuals early allows for the implementation of targeted care plans and interventions to improve patient outcomes.

  • Versatile Use: Though initially developed for older adults, the HFRS has been validated for use across all adult ages and various clinical settings.

In This Article

What Exactly is the Hospital Frailty Risk Score (HFRS)?

The Hospital Frailty Risk Score (HFRS) is a validated administrative tool used by healthcare systems to identify hospitalized patients at increased risk for adverse outcomes associated with frailty. Developed initially for older patients, the tool has been shown to be effective across a wide range of adult ages. Instead of relying on manual bedside assessments, which can be time-consuming and prone to inconsistencies, the HFRS utilizes the International Statistical Classification of Diseases (ICD-10) codes that are already documented in a patient's medical records. This makes it a highly efficient and scalable method for risk stratification at a population level.

The score is based on a weighted sum of 109 specific ICD-10 diagnostic codes. Each code is assigned a specific point value, ranging from 0.1 to 7.1, depending on its association with frailty severity. The total score for a patient is then calculated by adding up the points for all relevant codes present in their recent medical history, typically over a look-back period of up to two years prior to admission. A higher HFRS value indicates a greater risk of frailty and potential adverse outcomes.

How is the HFRS Calculated?

The calculation of the HFRS is an automated, data-driven process that leverages electronic medical records (EMR). It involves several steps:

  1. Data Extraction: The system automatically extracts a patient's diagnostic data, using the standardized ICD-10 codes from their administrative records for the index admission and often looking back at previous admissions as well.
  2. Code Weighting: Each of the 109 pre-determined ICD-10 codes linked to frailty is assigned a specific weight. For instance, a diagnosis of severe dementia will carry a higher weight than a milder, less impactful condition.
  3. Score Aggregation: The weights of all present diagnostic codes for a single patient are summed together to produce a final, continuous HFRS. The score can theoretically range from 0 to 99, though it is often capped at 15 for practical purposes.
  4. Risk Stratification: The continuous score is then sorted into categories to facilitate clinical decision-making. The most common stratification includes three levels:
    • Low-risk: HFRS < 5
    • Intermediate-risk: HFRS 5–15
    • High-risk: HFRS > 15

This method allows hospitals to systematically screen their patient population for frailty and risk, allocating resources and specialized care to those who need it most.

Interpreting HFRS Categories and Their Implications

Understanding the different HFRS categories is key to translating the score into actionable clinical steps. The score is not a diagnosis of frailty itself but rather an indicator of risk for frailty-related adverse outcomes.

  • Low-Risk (HFRS < 5): Patients in this category are generally considered non-frail or have a minimal risk of frailty-related complications. They typically have a better prognosis and require standard care pathways.
  • Intermediate-Risk (HFRS 5–15): This group represents a significant portion of the hospitalized elderly population and is at a moderately increased risk for adverse events. These patients may benefit from a more comprehensive geriatric assessment and targeted interventions to mitigate risks.
  • High-Risk (HFRS > 15): Patients in this category have the highest risk for poor health outcomes. They often experience longer hospital stays, increased readmission rates, and higher mortality. They require tailored, multidisciplinary care plans that focus on managing their complex needs, optimizing resources, and improving prognosis.

HFRS vs. Other Frailty Scales: A Comparison

The HFRS is not the only tool for assessing frailty. Other scales, such as the Clinical Frailty Scale (CFS), are widely used but differ significantly in their methodology and application. This table highlights some key differences.

Feature Hospital Frailty Risk Score (HFRS) Clinical Frailty Scale (CFS)
Methodology Automated, uses administrative data (ICD-10 codes) Manual, uses clinical judgment and patient assessment
Data Source Electronic Medical Records (EMR) Clinician interview, examination, and patient history
Time/Resource Burden Low (automated calculation) High (requires direct clinician time and training)
Context Administrative tool for large-scale risk stratification Clinical tool for individual patient-level assessment
Data Availability High (routinely collected) Can have significant missing data
Predictive Power Strong predictor of length of stay, readmission, and mortality Strong predictor of long-term mortality and other outcomes

The Importance and Impact of the HFRS

For healthcare systems, the HFRS offers a low-cost, efficient, and standardized method for frailty screening. This population-level data allows for better resource allocation, targeted service planning, and improved risk-adjusted performance metrics. For example, studies have shown that HFRS is a better predictor of long hospital length of stay compared to other standard severity indices. Hospitals can identify high-risk individuals early and implement frailty-attuned care, which can improve patient outcomes and optimize resource utilization. For instance, a high HFRS can trigger a comprehensive geriatric assessment and prompt timely interventions to reduce the risk of complications such as falls, delirium, and infections. This proactive approach can lead to more effective care for a vulnerable patient population.

Conclusion

The Hospital Frailty Risk Score is an important innovation in geriatric care, offering a powerful administrative tool to automatically and efficiently identify hospitalized patients at risk for frailty-related adverse events. By leveraging routinely collected ICD-10 data, the HFRS helps healthcare systems improve resource allocation, tailor interventions, and ultimately enhance the quality of care for older adults. As frailty is a dynamic and potentially reversible state, early identification through tools like the HFRS is the first crucial step toward better health outcomes. For further insights into frailty assessment, you can explore resources from the American Heart Association to see its relevance across various conditions like stroke.

Frequently Asked Questions

The Hospital Frailty Risk Score (HFRS) was developed by Gilbert et al. and validated in several international studies to identify frailty using existing administrative data.

The HFRS calculation relies on a weighted sum of 109 specific diagnostic codes from the International Statistical Classification of Diseases, 10th Revision (ICD-10), documented in a patient's electronic health records.

The calculation for the HFRS can incorporate diagnostic codes from the current hospital admission as well as a look-back period, sometimes covering up to two years of prior medical records to capture pre-existing conditions.

No, the HFRS is not a substitute for a comprehensive geriatric assessment. It is a screening tool used to identify at-risk patients efficiently, prompting further, more detailed clinical evaluation where needed.

No. A high HFRS indicates a higher risk of adverse outcomes. It is a predictive tool, not a guarantee. However, it signals the need for increased vigilance and tailored interventions.

While originally developed for patients aged 75 or older, subsequent studies have shown that HFRS can effectively predict adverse outcomes in adult patients across a wide range of ages.

By identifying frail patients early, hospitals can implement targeted care plans to reduce the risk of readmissions, falls, and complications. This also helps in planning resource allocation more effectively.

References

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Medical Disclaimer

This content is for informational purposes only and should not replace professional medical advice. Always consult a qualified healthcare provider regarding personal health decisions.