The Relationship Between the American Society of Anesthesiologists Physical Status Classification and Patient Outcomes: A Scoping Review Protocol
Luan Bicalho Costa, Yuri Trivelato Desideri, Ana Carolina Malacco Oliveira, Giovanna Fabris, João Vitor Ferreira Domingos, Ann Merete Møller

TL;DR
This study outlines a protocol to map how the ASA Physical Status classification relates to patient outcomes in surgery, aiming to identify patterns and gaps in existing research.
Contribution
The protocol introduces a systematic scoping review to comprehensively map the relationship between ASA-PS scores and patient outcomes, addressing a lack of consolidated evidence.
Findings
The review will use the JBI framework and PRISMA-ScR guidelines to synthesize literature on ASA-PS and outcomes.
It will identify key themes, study designs, and geographic trends in the use of ASA-PS for risk stratification.
The review will exclude non-primary research like editorials and commentaries to focus on original studies.
Abstract
The American Society of Anesthesiologists Physical Status (ASA‐PS) classification system is ubiquitous in perioperative medicine and research as a tool for preoperative patient risk stratification. Despite widespread clinical adoption as a predictor of perioperative outcomes, the ASA‐PS system is inherently subjective, leading to considerable inter‐rater variability. A comprehensive mapping of the literature examining the relationship between ASA‐PS scores and patient outcomes is lacking. To systematically map the extent, range, and nature of peer‐reviewed literature examining the relationship between the ASA‐PS classification and patient outcomes, and to identify key characteristics, themes, and knowledge gaps in this evidence base. This scoping review will be conducted according to the Joanna Briggs Institute (JBI) methodological framework and reported using the Preferred Reporting…
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| PCC component | Inclusion criteria | Exclusion criteria |
|---|---|---|
| Population | Patients with ASA‐PS score assigned. | Animal studies. |
| Concept | Studies examining the relationship between the ASA‐PS score and at least one patient outcome. Patient outcomes include mortality, morbidity, postoperative complications, length of stay, ICU admission, readmission, costs, and patient‐reported outcomes. | Studies that use the ASA score but do not report on its relationship with a patient outcome. Studies on the development or validation of the ASA score itself without linking it to outcomes. Studies that use ASA score to build a new scoring system or as training data to predict outcomes. |
| Context | Any healthcare setting (hospital, ambulatory surgery center, clinic). No restrictions on geographical location, publication date, or language of publication. Primary research studies (RCTs, cohort, case–control, cross‐sectional studies). | Non‐healthcare settings. Studies with full text unavailable. Review articles, editorials, letters to the editor, and commentaries. |
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Taxonomy
TopicsCardiac, Anesthesia and Surgical Outcomes · Medical Malpractice and Liability Issues · Healthcare cost, quality, practices
Introduction
1
Background: The ASA Physical Status Classification System
1.1
The American Society of Anesthesiologists Physical Status (ASA‐PS) classification system is a foundational tool in modern perioperative medicine, providing a standardized method for assessing and categorizing a patient's physiological status before surgery [1]. Its origins trace back to 1940–1941, initially conceived as a system for the collection and tabulation of statistical data in anesthesia. The primary goal was to establish a common terminology that would allow for meaningful statistical comparisons of morbidity and mortality by relating surgical outcomes to the patient's preoperative condition [1, 2]. From its inception, the system was explicitly designed to describe the patient's preoperative state only, not to function as a direct predictor of operative risk for an individual.
The initial six‐point scale proposed by Saklad and colleagues was refined over the decades, and the version adopted by the American Society of Anesthesiologists in 1963 forms the basis of the modern classification. The current system comprises six classes, ranging from ASA I (a normal healthy patient) to ASA VI (a declared brain‐dead patient whose organs are being removed for donor purposes). An “E” modifier is appended to the classification to denote an emergency procedure, defined as a situation where a delay in treatment would significantly increase the threat to the patient's life or a body part. The six classes are defined as follows:
- ASA I: A normal healthy patient.
- ASA II: A patient with mild systemic disease.
- ASA III: A patient with severe systemic disease.
- ASA IV: A patient with severe systemic disease that is a constant threat to life.
- ASA V: A moribund patient who is not expected to survive without the operation.
- ASA VI: A declared brain‐dead patient whose organs are being removed for donor purposes.
The ASA Score as a De Facto Predictor of Patient Outcomes
1.2
The ASA‐PS score has evolved to become one of the most widely used instruments in clinical practice for communicating a patient's overall health status and, by extension, for forecasting perioperative risk [1, 3]. Its simplicity and universality have led to its integration into routine preoperative assessments worldwide. It is frequently used to inform clinical decision‐making, guide the allocation of healthcare resources (such as postoperative intensive care unit [ICU] beds), and, in some healthcare systems, to adjust billing and reimbursement [1].
This widespread adoption has been fueled by an extensive body of literature that has consistently demonstrated a strong correlation between higher ASA scores (typically ASA III and above) and a broad spectrum of adverse patient outcomes [1, 2, 3].
Rationale for a Scoping Review: Mapping a Broad and Heterogeneous Evidence Base
1.3
The ubiquitous application of the ASA score as a risk stratification tool is juxtaposed with its most significant and well‐documented limitation: its inherent subjectivity [1]. The definitions for each class are qualitative (e.g., “mild” vs. “severe” systemic disease), which can lead to considerable inter‐rater variability among clinicians [1]. Studies have shown that different anesthesiologists may assign different ASA scores to the same patient, a discrepancy that has profound implications for both clinical care and the interpretation of research findings [1, 3].
This fundamental tension—between the score's widespread use as a risk predictor and its subjective nature—has given rise to a vast, complex, and highly heterogeneous body of literature. Research examining the ASA score's relationship with patient outcomes spans nearly every surgical and medical specialty, involves diverse patient populations, measures a multitude of different outcomes, and employs a wide variety of study designs. This creates a research landscape that is exceptionally broad and multifaceted.
In this context, a scoping review is the most suitable methodology for this inquiry. A scoping review functions as a form of knowledge synthesis that systematically maps the existing evidence, identifies its key characteristics, and highlights gaps in the research, all without formally appraising the methodological quality of the individual studies included [4]. It is, in essence, a cartographic exercise designed to chart the contours of a broad field of research.
Primary Objectives and Research Questions
1.4
The primary objective of this scoping review is to systematically map the extent, range, and nature of the peer‐reviewed literature that examines the relationship between the ASA Physical Status classification and patient outcomes. To achieve this objective, this review will address the following specific research questions:
- What is the volume, chronological distribution, and geographical origin of the literature on this topic?
- What categories of patient outcomes (e.g., mortality, morbidity, healthcare utilization, patient‐reported outcomes) have been examined in relation to the ASA score?
- In which medical contexts (e.g., surgical specialties, medical disciplines, emergency vs. elective settings, specific patient populations) has this relationship been investigated?
- What are the characteristics of the available evidence, including the predominant study designs, data sources, and other methodological features employed?
- What main themes, concepts, and reported limitations of the ASA score emerge from the literature?
- What are the key knowledge gaps in the existing literature that could inform a future research agenda?
Methods
2
Methodological Approach and Reporting Standards
2.1
This protocol has been developed in accordance with the Preferred Reporting Items for Systematic Review and Meta‐Analysis Protocols (PRISMA‐P) guidelines [5]. The subsequent scoping review will be conducted and reported in adherence to the PRISMA extension for Scoping Reviews (PRISMA‐ScR) checklist [6] (Appendix C) and the methodological framework for scoping reviews developed by the Joanna Briggs Institute (JBI) [4]. Assistance in editing portions of this protocol was obtained from an AI language model (Perplexity, powered by GPT‐5.1, https://www.perplexity.ai/page/openai‐launches‐gpt‐5‐1‐with‐p‐4xtQ5cBdQzCP1tBjOOrsUA; Perplexity AI Inc., San Francisco, CA, USA). The authors have reviewed and take full responsibility for all content.
Status of the Review
2.1.1
This is a protocol manuscript submitted prior to commencing the formal scoping review. The search strategy has been developed and refined iteratively in collaboration with a medical information specialist to optimize retrieval and align with the review objectives. A preliminary exploratory search was conducted by the main author to assess the scope and characteristics of the existing literature and inform protocol development. No formal systematic searching, screening, or data extraction has been initiated as of the date of submission (February 2026).
Eligibility Criteria: Population, Concept, and Context Framework
2.2
The selection of studies for this review will be guided by the Population, Concept, and Context (PCC) framework, as recommended by the JBI for scoping reviews. The specific inclusion and exclusion criteria are detailed in Table 1.
Population: The population of interest includes all studies involving patients who have been assigned an ASA‐PS score in a healthcare context. Studies that focus on animals will be excluded.
Concept: The core concept is the examination of the relationship between the ASA‐PS score, acting as a predictor or stratifying variable, and any reported patient postoperative outcome. The term “patient outcome” will be interpreted broadly to encompass:
- Mortality (all‐cause, procedure‐specific, in‐hospital, 30‐day);
- Morbidity (any postoperative medical or surgical complication):
- Measures of healthcare utilization (length of stay, ICU admission, readmission rates, costs);
- Patient‐reported outcomes (quality of life, functional status, satisfaction)
Context: The context for this review is any healthcare setting where an ASA score is assigned prior to a procedure. This includes inpatient hospitals, ambulatory or day‐surgery centers, and outpatient clinics. No restrictions will be placed on the geographical location of the study, the type of healthcare system, or the date of publication. All research study designs will be considered eligible for inclusion, including randomized controlled trials, observational studies (cohort, case–control, cross‐sectional, descriptive studies), and case reports. Review articles, editorials, letters to the editor, and commentaries will be excluded.
Information Sources and Search Strategy
2.3
A comprehensive and systematic search strategy will be designed and executed in collaboration with an experienced medical information specialist. The search will be conducted across several major electronic databases, including:
- PubMed (MEDLINE);
- EMBASE;
- Scopus;
- LILACS (Latin American and Caribbean Health Sciences Literature);
- Cochrane Central Register of Controlled Trials (CENTRAL).
To maximize the sensitivity of the search, no language or date filters will be applied during the initial database search. The search strategy employs controlled vocabulary (MeSH terms and EMTREE terms) combined with free‐text keywords to ensure comprehensive retrieval. A preliminary example of the search strategy is provided in Appendix A.
In addition to the electronic search, hand‐searching will be employed, wherein the reference lists of all included studies and relevant review articles will be scanned to identify any potentially eligible studies that were not captured by the initial search. A free search in Google Scholar will be conducted with the intention of identifying any additional potentially eligible studies. Grey literature will be considered selectively to minimize publication bias while maintaining feasibility.
Study Selection Process
2.4
All records identified through the database searches will be imported into Rayyan (a web and mobile app for systematic reviews) to facilitate the screening process. Duplicate records will be removed both automatically by the software and through manual verification.
The study selection will be conducted in a two‐stage process by two independent reviewers, a standard procedure to ensure rigor and minimize bias:
Stage 1—Title and Abstract Screening: Two reviewers will independently screen the titles and abstracts of all retrieved records in duplicate against the predefined eligibility criteria. Any record that clearly does not meet the criteria will be excluded at this stage.
Stage 2—Full‐Text Review: The full‐text articles for all records deemed potentially relevant during Stage 1 will be retrieved. The same two reviewers will then independently and in duplicate assess these full‐text articles against the eligibility criteria to make a final inclusion decision.
Any disagreements between the reviewers at either stage of the screening process will be resolved through discussion and consensus. If a consensus cannot be reached, a third, senior reviewer will be consulted to arbitrate a final decision. The entire selection process will be documented, and the reasons for excluding studies at the full‐text stage will be recorded. A PRISMA flow diagram will be used in the final scoping review to transparently report the flow of studies through the review process.
Data Charting and Extraction
2.5
A structured data charting form will be developed by the research team to guide the extraction of relevant information from the included studies. This form will be refined based on pilot testing to ensure clarity, comprehensiveness, and consistent application by all members of the review team. A preliminary version of the data charting form is provided in Appendix B (Table B1).
Data from each included study will be extracted by one reviewer and subsequently verified for accuracy and completeness by a second reviewer. The following data items will be charted:
-
First author, year of publication, country of origin, journal, and study design.
-
Total sample size, patient age (mean, median, or range), comorbidity burden.
-
Clinical setting (e.g., academic hospital, community center);
-
Relevant medical or surgical specialty:
-
Details of procedures studied:
-
Urgency of procedure (e.g., elective vs. emergency).
-
Information on how the ASA score was determined and reported in the study, including timing of assignment (if available):
-
Distribution of patients across ASA classes.
-
Specific patient outcomes measured:
-
Definitions used for each outcome:
-
Reported associations between ASA score and outcomes (e.g., odds ratios, hazard ratios, p‐values, or narrative descriptions);
-
Statistical methods and models used to derive reported associations where reported.
-
A summary of the study's main findings regarding the reported relationship between the ASA score and measured patient outcomes
Data Synthesis and Analysis
2.6
In line with the standard methodology for scoping reviews, the extracted data will be synthesized without a formal appraisal of the quality or risk of bias of the included studies. The synthesis will be primarily a narrative summary of the findings, structured around the review's research questions.
This narrative will be supported by descriptive statistics (e.g., frequencies, percentages, rates) and presented using tables and graphical formats (e.g., bar charts, scatter plots, bubble charts). This approach will allow for a clear and comprehensive mapping of the evidence, for example, by using charts to visualize:
- The distribution of research across different clinical specialties and surgical subspecialties;
- The types of patient outcomes investigated;
- The predominant study designs employed;
- The chronological distribution of publications;
- The geographical distribution of included studies;
- Key themes and findings regarding the ASA score's predictive value and limitations.
The narrative synthesis will specifically address the six research questions outlined in Section 1.4 and identify recurring themes, reported limitations, and identified knowledge gaps.
Ethics and Dissemination
2.7
Ethics Approval
2.7.1
As this scoping review is based on published, aggregate data from secondary sources, ethics committee approval is not required. However, the findings will be reported transparently and in adherence to established reporting standards.
Dissemination
2.7.2
The findings of this scoping review will be disseminated through:
- Publication in a peer‐reviewed journal;
- Presentations at relevant conferences (e.g., Scandinavian Society of Anaesthesiologists annual meeting).
Anticipated Contributions and Expected Utility
3
Expected Utility and Implications for Research and Practice
3.1
This scoping review is poised to deliver a comprehensive, systematic map of the vast and influential body of literature that examines the relationship between the ASA score and patient outcomes. The findings from this review will hold significant value for a diverse range of stakeholders in the healthcare ecosystem.
For clinicians and medical educators, the review will provide a structured and accessible overview of the evidence base that illustrates the relationship between patient outcomes and the ASA score. This can be used to enhance preoperative patient counseling, improve shared decision‐making, and facilitate more nuanced discussions about perioperative risk.
For the research community, the systematic charting of the existing literature will be instrumental in identifying critical knowledge gaps. For example, the review may reveal:
- A relative scarcity of research on the ASA score's association with patient‐reported outcomes (e.g., long‐term quality of life or functional status) compared to traditional outcomes like mortality;
- Specific clinical populations or surgical specialties where this relationship has been under‐investigated;
- Geographic or methodological gaps in the literature.
These identified gaps will provide a clear, evidence‐based roadmap to guide future primary research and prioritize areas for further investigation.
For healthcare systems and policymakers, understanding the breadth and limitations of the evidence base can inform risk stratification policies, resource allocation decisions, and quality improvement initiatives.
A significant contribution of this review will be to systematically document the evidence‐practice paradox at the core of the ASA score's modern use. By juxtaposing the score's widespread acceptance in research and clinical practice with its well‐documented methodological flaws (particularly subjectivity and inter‐rater variability), this review can stimulate a more critical and informed discourse regarding appropriate applications and limitations of the ASA‐PS classification system.
Strengths and Limitations of the Review Methodology
3.2
-
The primary strength of this scoping review is its foundation in a rigorous, transparent, and reproducible methodology;
-
The protocol is designed in accordance with established international standards, including the PRISMA‐ScR and JBI guidelines;
-
The development of a comprehensive, multi‐database search strategy in collaboration with an information specialist is designed to ensure that the full breadth of the relevant literature is captured;
-
The two‐stage, dual‐reviewer study selection process minimizes selection bias;
-
Structured data extraction and charting will ensure comprehensive documentation of study characteristics and findings.
-
The principal limitation is inherent to the scoping review methodology itself: the absence of a formal risk‐of‐bias assessment or critical appraisal of the included studies;
-
As a result, this review will describe the state of the evidence but will not make summative judgments about the methodological quality of that evidence or the true magnitude and validity of the reported associations between the ASA score and patient outcomes;
-
The objective is to map the existing literature, not to weigh the evidence or synthesize a definitive answer regarding the predictive accuracy of the ASA‐PS classification system;
-
Heterogeneity in study designs, outcome definitions, and populations may limit the ability to draw comparative conclusions across studies;
-
Language and availability restrictions may result in some relevant literature being excluded.
Conclusion
3.3
The American Society of Anesthesiologists Physical Status classification system is a cornerstone of preoperative patient assessment and a ubiquitous variable in perioperative research. This scoping review will provide a comprehensive and structured overview of the extensive literature that has investigated its relationship with a wide array of patient outcomes. The findings will be instrumental in identifying key characteristics and gaps in the current body of knowledge. This, in turn, will inform the direction of future research, ultimately contributing to the ongoing effort to refine perioperative risk stratification and improve the safety and quality of patient care.
Author Contributions
Luan Bicalho Costa: conceptualization, methodology, investigation, writing – original draft, project administration. Yuri Trivelato Desideri: investigation, writing – review and editing. Ana Carolina Malacco Oliveira: investigation, writing – review and editing. Giovanna Fabris: investigation, writing – review and editing. João Vitor Ferreira Domingos: investigation, writing – review and editing. Ann Merete Møller: conceptualization, methodology, supervision, writing – review and editing.
Funding
The authors have nothing to report.
Conflicts of Interest
The authors declare no conflicts of interest.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1American Society of Anesthesiologists , “ASA Physical Status Classification System,” accessed 12 January 2026, https://www.asahq.org/standards‐and‐guidelines/asa‐physical‐status‐classification‐system.
- 2D. Mayhew , V. Mendonca , and B. V. S. Murthy , “A Review of ASA Physical Status – Historical Perspectives and Modern Developments,” Anaesthesia 74, no. 3 (2019): 373–379, 10.1111/anae.14657.30648259 · doi ↗ · pubmed ↗
- 3A. Sankar , S. R. Johnson , W. S. Beattie , et al., “Reliability of the American Society of Anesthesiologists Physical Status Scale in Clinical Practice,” British Journal of Anaesthesia 115, no. 5 (2015): 736–742, 10.1093/bja/aev 291.24727705 PMC 4136425 · doi ↗ · pubmed ↗
- 4M. D. J. Peters , C. Godfrey , P. Mc Inerney , et al., “Chapter 11: Scoping Reviews,” in JBI Manual for Evidence Synthesis, ed. E. Aromataris and Z. Munn (JBI, 2020).
- 5L. Shamseer , D. Moher , M. Clarke , et al., “Preferred Reporting Items for Systematic Review and Meta‐Analysis Protocols (PRISMA‐P) 2015: Elaboration and Explanation,” BMJ 350 (2015): g 7647, 10.1136/bmj.g 7647.25555855 · doi ↗ · pubmed ↗
- 6A. C. Tricco , E. Lillie , W. Zarin , et al., “PRISMA Extension for Scoping Reviews (PRISMA‐Sc R): Checklist and Explanation,” Annals of Internal Medicine 169, no. 7 (2018): 467–473, 10.7326/M 18-0850.30178033 · doi ↗ · pubmed ↗
