Chronological Age vs. Physiological Age : An Anesthesiologist’s Perspective

Introduction

In anesthesiology, differentiating between chronological and physiological age is essential for optimizing patient care. While chronological age only indicates the number of years lived, physiological age offers a deeper insight into a patient’s biological health and response to anesthesia. Understanding physiological age can enhance surgical planning, risk assessment, and postoperative management, leading to more personalized and effective anesthetic strategies.

Risk Assessment:

  • Predictive Power: Chronological age has been a traditional parameter in risk assessment models. However, its predictive power is limited when not considered alongside physiological health. For example, a 70-year-old patient who leads an active lifestyle and has no significant comorbidities may have a better anesthetic risk profile than a 50-year-old with multiple health issues such as diabetes, hypertension, and obesity.
  • Frailty Identification: Physiological age assessment helps in identifying frailty, a critical determinant of surgical outcomes. Frail patients, regardless of their chronological age, are at a higher risk for complications such as postoperative delirium, prolonged hospitalization, and mortality. Recognizing frailty allows for preemptive measures, such as intensified monitoring and tailored anesthetic techniques, to mitigate these risks.

Tailored Anesthetic Plans:

  • Individualized Care: Anesthesiologists strive to provide individualized care plans, and understanding physiological age enhances this capability. For instance, a physically fit elderly patient might tolerate general anesthesia well, while a younger but frail patient may benefit more from regional anesthesia or sedation to minimize systemic impacts.
  • Dose Adjustments: Physiological age influences pharmacokinetics and pharmacodynamics. Older or frail patients often require lower doses of anesthetic agents to avoid prolonged sedation and postoperative cognitive dysfunction. An accurate assessment of physiological age ensures appropriate dosing, reducing the risk of adverse drug reactions.

Preoperative Evaluation:

  • Comprehensive Assessment: Evaluating physiological age involves a comprehensive assessment that goes beyond standard preoperative checks. This includes reviewing medical history, physical examinations, and functional and cognitive tests. Such a thorough evaluation helps identify hidden risks and plan appropriate interventions.
  • Optimization Strategies: Identifying a patient’s physiological age enables targeted prehabilitation strategies. For instance, optimizing chronic conditions, improving nutritional status, and enhancing physical fitness can significantly improve surgical outcomes and reduce recovery times.

Postoperative Recovery:

  • Anticipating Complications: Understanding a patient’s physiological age allows anesthesiologists to anticipate potential complications. Patients with advanced physiological age are more susceptible to issues like delayed wound healing, respiratory complications, and cognitive impairments. Preemptive planning can include extended postoperative monitoring, early mobilization programs, and intensive physiotherapy.
  • ERAS Protocols: Enhanced Recovery After Surgery (ERAS) protocols can be tailored based on physiological age. These protocols might involve personalized pain management strategies, early feeding, and mobilization plans, specifically designed to suit the patient’s biological condition and improve recovery outcomes.

Chronological Age:

  • Simple Calculation: This is straightforward, calculated by subtracting the birth year from the current year. It provides a baseline but lacks the depth needed for comprehensive patient assessment.

Physiological Age:

  • Frailty Index: This tool assesses physical frailty through criteria like unintentional weight loss, muscle weakness, and low physical activity. It provides a snapshot of a patient’s functional reserve and vulnerability to stressors.
  • Biological Markers: Blood tests for markers such as C-reactive protein (CRP), interleukin-6 (IL-6), hemoglobin A1c (HbA1c), cholesterol levels, and blood pressure give insights into the body’s internal functioning and systemic health.
  • Functional Status Assessments: Activities of Daily Living (ADL) and Instrumental Activities of Daily Living (IADL) scales measure a patient’s ability to perform daily tasks independently, indicating overall physical and cognitive health.
  • Comorbidity Indices: The Charlson Comorbidity Index and other similar tools predict long-term mortality based on the presence and severity of comorbid conditions, helping to stratify surgical risk.
  • Cognitive Function Tests: Cognitive assessments identify patients at risk of postoperative cognitive dysfunction or delirium, allowing for tailored anesthetic plans and postoperative care.
  • Physical Tests: Simple tests like gait speed and grip strength have been shown to correlate well with overall physiological health and predict postoperative outcomes.

Personalized Anesthesia Care:

  • Precision Medicine: The integration of genetic, molecular, and comprehensive health data is paving the way for precision medicine. For anesthesiologists, this means using advanced diagnostic tools to assess physiological age accurately, ensuring each patient receives the most appropriate anesthetic care tailored to their unique health profile.
  • Biomarkers and Genomics: Research into specific biomarkers and genomics will provide deeper insights into the biological aging processes. Biomarkers such as telomere length, DNA methylation patterns, and senescence-associated secretory phenotype (SASP) factors can help predict how a patient will respond to anesthesia and recover from surgery, allowing for more precise and individualized anesthetic plans.

Technological Integration:

  • Wearable Devices: The use of wearable technology to monitor physiological parameters in real-time is becoming more prevalent. These devices can track heart rate, activity levels, and sleep patterns, providing continuous data that can inform anesthetic management and postoperative care adjustments.
  • Artificial Intelligence (AI): AI and machine learning algorithms can analyze data from various sources to predict physiological age and recommend personalized anesthesia plans. These technologies can identify patterns and correlations that might not be evident through traditional analysis, enhancing risk stratification and management.

Enhanced Recovery Protocols:

  • Tailored ERAS Programs: ERAS protocols tailored to physiological age can improve recovery times and reduce complications. These programs might include individualized pain management, nutritional support, and early mobilization strategies designed to suit the patient’s biological condition.
  • Interdisciplinary Care: Implementing these protocols requires collaboration between anesthesiologists, surgeons, physiotherapists, nutritionists, and geriatricians. An interdisciplinary approach ensures a holistic view of patient care, enhancing outcomes.

Preventive Medicine:

  • Lifestyle Interventions: Promoting lifestyle changes that improve physiological age can have significant long-term benefits. Encouraging regular exercise, healthy eating, and stress management can reduce the need for complex surgical and anesthetic interventions later in life.
  • Early Screening: Early screening for conditions that affect physiological age, such as hypertension, diabetes, and obesity, allows for timely interventions that can improve overall health and surgical outcomes.

Research and Education:

  • Ongoing Research: Continued research into the determinants of physiological age and its impact on anesthesia will provide new insights and innovations in patient care. This research will help develop new techniques and protocols for managing anesthetic care based on physiological age.
  • Education and Training: Educating healthcare professionals about the importance of physiological age in anesthesia is crucial. Training programs should incorporate the latest research and technologies, preparing anesthesiologists to implement these concepts in their practice effectively.

For anesthesiologists, understanding the distinction between chronological and physiological age is vital. It allows for a more nuanced and comprehensive assessment of patient health, leading to improved risk stratification, personalized anesthetic care, and better postoperative outcomes. As medical technology and knowledge continue to advance, the ability to assess and utilize physiological age will become increasingly sophisticated, further enhancing the safety and effectiveness of anesthetic care. Embracing these developments will ensure that anesthesiologists are at the forefront of providing optimal, individualized care for their patients.

  1. Biological age is superior to chronological age in predicting hospital mortality of the critically ill. Internal and Emergency Medicine, 2023.
  2. Multi-Omic Biological Age Estimation and Its Correlation With Wellness and Disease Phenotypes: A Longitudinal Study of 3,558 Individuals. The Journals of Gerontology, Series A, Biological Sciences and Medical Sciences, 2019.
  3. Importance of physiological age in determining indications for adult spinal deformity surgery in patients over 75 years of age: A propensity score matching analysis. European Spine Journal, 2022.
  4. Biological age estimation using circulating blood biomarkers. Communications Biology, 2023.
  5. “Epigenetic clocks”: Theory and applications in human biology. American Journal of Human Biology, 2021.
  6. The AccelerAge framework: A new statistical approach to predict biological age based on time-to-event data. European Journal of Epidemiology, 2024.
  7. Clarifying the biological and statistical assumptions of cross-sectional biological age predictors: An elaborate illustration using synthetic and real data. BMC Medical Research Methodology, 2024.
  8. Development and Implementation of a Tool to Assess Patient-Reported Outcome Measures (PROM) in Preoperative Setting. Global Journal of Perioperative Medicine, 2017.
  9. Roadmap for Transforming Preoperative Assessment to Preoperative Optimization. Anesthesia and Analgesia, 2020.
  10. Evidence for the use of preoperative risk assessment scores in elective cranial neurosurgery: A systematic review of the literature. Anesthesia and Analgesia, 2014.
  11. A Novel Preoperative Patient Survey Predicts Adverse Patient Outcomes—Implementation and Preliminary Results of the Tennessee Preoperative Assessment Tool. The American Surgeon, 2023.
  12. Surgical Risk Preoperative Assessment System (SURPAS): III. Accurate Preoperative Prediction of 8 Adverse Outcomes Using 8 Predictor Variables. Annals of Surgery, 2016.
  13. Recent advances in the technology of anesthesia. F1000Research, 2020.
  14. The Impact of Wearable Technologies in Health Research: Scoping Review. JMIR mHealth and uHealth, 2022.
  15. Wearable devices for patient monitoring in the early postoperative period: a literature review. mHealth, 2021.
  16. Wearable Health Devices in Health Care: Narrative Systematic Review. JMIR mHealth and uHealth, 2020.
  17. Artificial Intelligence in Anesthesiology: Current Techniques, Clinical Applications, and Limitations. Anesthesiology, 2020.
  18. Artificial intelligence and nonoperating room anesthesia. Current Opinion in Anaesthesiology, 2024.
  19. Artificial intelligence and anesthesia: a narrative review. Annals of Translational Medicine, 2022.
  20. Necessity and Importance of Developing AI in Anesthesia from the Perspective of Clinical Safety and Information Security. Medical Science Monitor: International Medical Journal of Experimental and Clinical Research, 2023.
  21. Applications of artificial intelligence in anesthesia: A systematic review. Saudi Journal of Anaesthesia, 2024.
  22. Artificial intelligence and anesthesia: A narrative review. Saudi Journal of Anaesthesia, 2022.
  23. Artificial Intelligence for Perioperative Medicine: Perioperative Intelligence. Anesthesia and Analgesia, 2023.
  24. Artificial intelligence and its clinical application in Anesthesiology: a systematic review. Journal of Clinical Monitoring and Computing, 2024.
  25. Revolutionizing Patient Care: A Comprehensive Review of Artificial Intelligence Applications in Anesthesia. Cureus, 2023.
  26. A Comprehensive Analysis and Review of Artificial Intelligence in Anaesthesia. Cureus, 2023.

Author

Leave a Comment

×