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(Stroke. 2005;36:1457.)
© 2005 American Heart Association, Inc.

Original Contributions

Measurement of Community Ambulation After Stroke

Current Status and Future Developments

Susan E. Lord, MSc Lynn Rochester, PhD

From the Department of Medicine (Rehabilitation; S.E.L.), Wellington School of Medicine and Health Sciences, University of Otago, Wellington South, New Zealand; and the School of Health (L.R.), Community and Education Studies, Northumbria University, Coach Lane, Benton, Newcastle upon Tyne, UK.

Correspondence to Susan E. Lord, Dept of Medicine (Rehabilitation), Wellington School of Medicine and Health Sciences, University of Otago, PO Box 7343, Wellington South. E-mail: sue.lord{at}ts.co.nz

	Abstract

Top Abstract Introduction Current Measures of Community... What Might a Relevant... Summary References

 
Background and Purpose— This report considers the measurement of community ambulation for people with stroke. The conceptual issues underlying measurement of community ambulation are reviewed, and tests that measure either the task itself or at least some of its components are identified and discussed.

Conclusions— The findings from this review suggest that although some progress has been made toward identifying community ambulation as a stand-alone entity, reliable and valid measures have not yet been developed. Gait speed, which is used often as a proxy measure for community ambulation, does not consistently reflect the level of community ambulation attained, and continued reliance on its use, particularly the 10-m timed walk, is misplaced. The limitations of the measures reviewed here point toward self-report as being the most useful outcome for current clinical use. However, this report highlights the need for research to first inform a theoretical framework for the measurement of community ambulation, from which a measurement tool or a battery of measurements can be developed and tested.

Key Words: ambulation • community • gait • mobility • stroke, acute

	Introduction

Top Abstract Introduction Current Measures of Community... What Might a Relevant... Summary References

 
Much of the impetus for stroke rehabilitation rests in the desire to regain normal walking, a goal still identified as relevant months or years after the acute event. For many people, the reintegration into community life marks the end point of their rehabilitation. The definition and meaning of community ambulation varies in the literature, and little is known about the dimensions of the task and the specific attributes required for its safe and independent execution. Lord et al¹ asked 130 home-dwelling, post–acute stroke survivors to identify relevant community destinations, and from that a definition of community ambulation was developed: independent mobility outside the home, which includes the ability to confidently negotiate uneven terrain, private venues, shopping centers and other public venues. Patla and Shumway-Cook² developed an operational definition of community mobility that considered 8 environmental dimensions: ambient conditions, terrain characteristics, external physical load, attentional demands, postural transition, traffic level, time constraints, and walking distance. A subsequent study,³ whereby people with disability (including stroke) were observed walking in the community and then compared with people without disability, identified 4 of these dimensions as being important: temporal factors, postural transitions, physical load, and terrain. Interestingly, endurance did not feature as an important dimension of community ambulation, although earlier research has identified it as so.⁴ Although these studies provide a starting point for the development of a theoretical framework to describe the focus and components of community ambulation, further clarification is required. For example, attention is an attribute of all actions associated with community ambulation,⁵ and reduced gait performance has been observed with additional attentional demands.^6,7 The relationship between the attentional cost to maintain motor performance and the actual performance is complex and may be influenced by a variety of factors, and assessments need to take account of this.⁸ It may, therefore, be prudent to consider measuring attentional cost, implied through reduced gait performance, as one attribute of community ambulation.

Mobility outcomes for people with stroke have been evaluated with measures that cover impairment,⁹ activity,¹⁰ participation,¹¹ and health-related quality of life.¹² The endorsement of the International Classification of Functioning (ICF) by the World Health Assembly in May 2001¹³ turned the spotlight toward understanding functioning and disability as multidimensional concepts that relate not only to physical and psychological features but also to each person’s life situation and social role, which is influenced by external factors, most importantly the physical environment, physical aids and appliances, societal attitudes and beliefs, and social policies. Of particular importance to community ambulation is the acknowledgement in the ICF of the role of environmental factors to functioning, and the relationship between environment and participation. Although the ICF is first and foremost a framework and a classification system rather than a tool for measurement, clinicians and researchers are encouraged to consider their relationship to each other and to link or map items from rehabilitation measures to ICF domains.¹⁴ Any new measure of community ambulation should, therefore, be considered within the ICF framework, instead of being separate from it.

Although the ICF does not present a single code for community ambulation, it is possible to use the framework to classify aspects of the task. The codes (eg, 4602, 4501, 4502, 4503) are only complete with the presence of at least 1 "qualifier" that personalizes the assessment to the individual. In the case of community ambulation, which is viewed as a task from the activity and participation domain, the relevant qualifier is the performance qualifier, which describes what an individual does in his or her own environment. Further environmental factor qualifiers can be used to denote either the extent of positive effects of the environment (facilitators) or the extent of negative effects (barriers). The Figure gives an example of the measurement of a person’s ability to carry out tasks related to community ambulation using these components of the ICF framework.

View larger version (36K): [in this window] [in a new window]   The activity and participation domain of the ICF framework applied to a person with limited community mobility.

	Current Measures of Community Ambulation

Top Abstract Introduction Current Measures of Community... What Might a Relevant... Summary References

 
Current measures are composed of items that researchers consider best represent the task, such as gait velocity or endurance, functional mobility scales, the locomotion domain of global functional measures; or self-reported levels of activity. The Table lists the measures that have been used in research that focuses on the attainment of community ambulation. Gait velocity, measured using the 10-meter timed walk, is used in both research and clinical situations because of its simple clinical application, its robust psychometric properties, and the ratio data it yields. It has been shown to be more responsive than functional scales to changes in mobility following stroke,¹⁵ and it has been described as the "almost-perfect" measure.¹⁶ However, there is no guarantee that an increase in gait velocity, which must first exceed the bounds of measurement error,^17,18 will denote a meaningful improvement in performance. Because it is measured inside, in a predictable, uncluttered, controlled environment, the skills required for it cannot be assumed to transfer to outside mobility. Although gait velocity has been used as a key parameter to measure levels of community ambulation with thresholds that vary from 48 m/min¹⁹ to 79 m/min,⁴ it is not sufficiently discrete to be able to classify different levels of community ambulation without error. In our study,¹ which investigated mobility outcomes on discharge from physical therapy services for people following stroke, although the relationship between gait speed and attained levels of community ambulation was moderate (r=0.60; P<0.01), the confidence intervals for gait velocity, which presented as the most robust of the variables measured, still overlapped for 3 of 4 self-reported levels of community ambulation. Perry et al¹⁹ likewise defined three groups of community walkers based on self-report and gait velocity.

View this table: [in this window] [in a new window]   Measures Used to Evaluate Community Ambulation

Endurance (another proxy measure for community ambulation) was measured using the 6-minute walk test,²⁰ a test originally developed to measure the stamina of people with respiratory and cardiac conditions. Pohl et al²¹ reported that although motor impairments impact greatly on the 6-minute walk test scores, the test does provide insight into endurance for people with stroke, the pulse rate and systolic blood pressure of which increased significantly with the test.

Lernier-Frankiel et al⁴ identified the mobility requirements for safe community ambulation in the Los Angeles area, and recommended a normal gait speed of 79 m/min, a walking distance greater than 332 meters, and the ability to step up and down a curb up to 22 centimeters in height. Cohen et al²² who examined community ambulation in older adults with and without physical disabilities, suggested parameters that were very similar. Robinett and Vondran²³ documented a wide range of distances and gait speeds required for safe ambulation in communities of different sizes. Hill et al²⁴ suggested 4 criteria for community ambulation that included minimum thresholds for gait velocity (48 m/min), endurance (500 meters), the locomotion domain of the Functional Independence Measure²⁵ (FIM; score of 5) and the Functional Ambulation Classification²⁶ (score of 6). The Dynamic Gait Index²⁷ assesses the effects of speed and direction change, head turns and obstacle negotiation on gait, although again it is tested in a clinical environment. The Activities-specific Balance Scale,²⁸ which has just been shown to be valid and reliable for people with stroke,²⁹ is a self-efficacy scale that evaluates confidence in 16 mobility tasks, 9 of them outside. The Community Balance and Mobility Scale³⁰ is an example of a test that measures multiple components. It consists of 13 physical tasks, such as tandem pivot and lateral foot scooting, and it includes some dual and multiple task items such as walking, looking, and carrying. Although the scale was developed for people with traumatic brain injury and may not be suitable for people with stroke, it may provide a starting point for a tool that captures the complexity of the task.

Global Scores of Function
Global measures of functional activity usually include several items that might be considered prerequisite actions required for community mobility. For example, the Rivermead Mobility Index¹⁰ tests the ability of a person to mobilize independently in a nonclinical environment, including negotiating uneven terrain and walking up and down 4 steps without help if necessary and their ability to run or walk quickly 10 meters without limping in 4 seconds. The highest scoring item on the FIM measures the ability of an individual to walk 50 meters safely without assistive devices in a reasonable time frame, but the environment is not specified. The Barthel Index³¹ asks about independent mobility and stairs. However, none of these measures by themselves gives a complete picture of a person’s ability to walk in the community.

Self-Reported Measures
The 2 self-reported measures that accompanied the studies outlined above provide for different levels of community mobility. Perry et al¹⁹ identified 6 functional categories that included the ability to get to appointments, visit friends, go shopping, go to church, and undertake recreational activities, with 4 levels of attainment from "unable" to "independent." In the study of Lord,¹ people were asked whether they walked independently either as far as the mailbox, around their immediate environment, or to places of interest and/or shopping malls.

Measures of Participation and Quality of Life
Measures of participation, quality of life, life satisfaction, and social integration often contain several items specific to either community ambulation or community mobility; the distinction between these two is not always clear. The Subjective Index of Physical and Social Outcome, a 14 item scale¹¹ that includes 4 items that cover movement within the local neighborhood, shopping, leisure activities, and visiting friends. Likewise, the Reintegration to Normal Living Index³² includes 3 items of similar content. Several items on The Sickness Impact Profile³³ inquire about the ability of a person to walk distances, to negotiate hills, stairs, and public transportation, and to gain access to the wider community. The Frenchay Activities Index³⁴ records the frequency of activities undertaken over a 6-month period and includes items such as local shopping, walking outside >15 minutes, driving a car or getting on a bus, travel outings, and car rides. The Nottingham Extended Activities of Daily Living Index³⁵ contains items that measure, on a 4-point Likert scale, tasks that denote advanced mobility status, including the ability to shop. The Stroke Impact Scale³⁶ was developed from the perspective of the patient and caregiver to provide a multidimensional, broad-stroke outcome measure. The 64-item scale covers 8 domains with items that measure impairment, activity, and participation on a 5-point Likert scale. Eight of these items reflect aspects of community ambulation or mobility, such as shopping, climbing flights of stairs, getting in and out of a car, and carrying a heavy object.

	What Might a Relevant Measure for Community Ambulation Look Like?

Top Abstract Introduction Current Measures of Community... What Might a Relevant... Summary References

 
In a systematic review of outcome measures used in drug trials for acute strokes, Duncan et al³⁷ reported a wide variation and inconsistent use of outcome measures, with little agreement about what constitutes a favorable or unfavorable outcome. Part of the problem is that functional outcome measures in rehabilitation have suffered for the lack of a theoretical or conceptual framework to guide their development.³⁸ A widely accepted conceptual foundation for the definition and measurement of community ambulation, and its relationship to community mobility, must be agreed on between both users and researchers before considering options for measurement.

However, 2 approaches to its measurement have emerged. The first is to measure the level of task attainment and the second is to break the task itself down into the impairments and activities that predict community ambulation. The first is measured through self-report and aligns itself to measuring what counts, that is, at what ICF level of activity does this person attain community ambulation and with what assistance? Although there is empirical evidence to support the advantages of self-reported measures mostly because of their superior content validity (eg, the Patient Generated Index³⁹ the Patient-Specific Measure⁴⁰), this approach may be limited because of the difficulties in determining criteria for clinically important change in a heterogenous group of patients, the judgments of whom regarding change are neither necessarily congruent nor consistent over time⁴¹ Comparisons of outcomes across studies, therefore, can become problematic.⁴² Perhaps more importantly, outcome comparisons do not help the tester identify which aspects of the task the person finds difficult to master and identify those people who may attain community ambulation; the comparisons, therefore, are less able to inform the rehabilitation process.

The second option requires an operational definition of community ambulation and the reliable and valid measurement of impairments that constitute the activity as well as measurement, in a separate domain or test, of the activity itself, both of which are best tested through observation of performance. These predictors may include gait speed, postural transitions, dual and/or multiple attention tasks (such as motor plus walking, cognitive plus walking), attentional cost, fatigue, motivation, and endurance. Given the likelihood that performance will vary under different environmental conditions, testing will also need to be carried out in a range of ecologically valid environments rather than in the clinic. Development of a measure using this approach will be time consuming and protracted; because of the complexity of the task, a substantial body of basic research will first need to be undertaken before a definitive list of predictors for community ambulation can be identified. An example of a method of evaluation that examines these issues has been conducted in people with Parkinson disease both to identify difficulties compared with a control population and to measure changes in response to intervention.^43,44 We are also currently investigating the effect of a secondary task on gait performance in people with stroke in ecologically valid environments, which may also contribute to our understanding of the complexity of the task. With either approach, it is important to consider the effect of task limitations on broader domains such as participation and quality of life.⁴⁵ Ultimately, it may be necessary to produce a battery of tests that encompasses all domains.

In the interim, it may be expedient for clinicians and researchers to use an instrument of self-report depicting different levels of task attainment that extend from accessing the external home environment to accessing more challenging environments that include shopping centers and suburban streets, rural roads, and public transport and that also includes the ability to do 2 things at once, eg, walking and talking.

	Summary

Top Abstract Introduction Current Measures of Community... What Might a Relevant... Summary References

 
Community ambulation is the ability to integrate walking with other tasks in a complex environment. The presence of impaired physical performance and possible cognitive and behavioral factors will further interact with the performance of gait and the resultant effect will be impaired community ambulation. The development of clinical tests that incorporate dual-task paradigms as part of assessment methods and take into account the context in which assessment takes place (eg, clinic, home, community) may prove helpful in identifying those who may have difficulty generalizing the performance of gait in a simple environment to a complex environment. In addition, they may identify those for whom safety in terms of risk of falls under these more complex situations is an issue. Patla and Shumway-Cook² have noted that mobility in a complex environment is the norm, not the exception, and we require tools that reflect this. Community ambulation is an ecologically valid outcome to measure, and although the 10-meter timed walk remains central to mobility measurement, it needs to be considered alongside measures that reflect the broader dimensions of this complex task.

	Acknowledgments

 
We thank Dr William Taylor for his comments on an earlier draft of this manuscript.

Received October 19, 2004; revision received March 16, 2005; accepted April 14, 2005.

	References

Top Abstract Introduction Current Measures of Community... What Might a Relevant... Summary References

 

1. Lord SE, McPherson KM, McNaugton HK, Rochester L, Weatherall M. Community ambulation following stroke: how important and obtainable is it, and what measures appear predictive? Arch Phys Med Rehabil. 2004; 85: 234–239.[CrossRef][Medline] [Order article via Infotrieve]
2. Patla A, Shumway-Cook A. Dimensions of mobility: defining the complexity and difficulty associated with community mobility. J Aging Phys Act. 1999; 7: 7–19.[Medline] [Order article via Infotrieve]
3. Shumway-Cook A, Patla A, Stewart A, Ferrucci L, Ciol M, Guralnik J. Environmental demands associated with community mobility in older adults with and without mobility disorders. Phys Ther. 2002; 82: 670–681.[Abstract/Free Full Text]
4. Lernier-Frankiel M, Vargas S, Brown M, Krusell L, Schoneberger W. Functional community ambulation: what are your criteria? Clin Manag Phys Ther. 1986; 6: 12–15.
5. Woollacott M, Shumway-Cook A. Attention and the control of posture and gait: a review of an emerging area of research. Gait Posture. 2002; 16: 1–14.[Medline] [Order article via Infotrieve]
6. Haggard P, Cockburn J, Cock J, Fordham C, Wade D. Interference between gait and cognitive tasks in a rehabilitating neurological population. J Neurol Neurosurg and Psych. 2000; 69: 479–486.
7. Bowen A, Wenman R, Mickelborough J, Foster J, Hill E, Tallis R. Dual-task effects of talking while walking on velocity and balance following a stroke. Age Ageing. 2001; 30: 319–323.[Abstract/Free Full Text]
8. Mulder T, Zijlstra W, Geurts A. Review: assessment of motor recovery and decline. Gait Posture. 2002; 16: 198–210.[CrossRef][Medline] [Order article via Infotrieve]
9. Lord SE, Halligan P, Wade D. Visual gait analysis: the development of a clinical assessment procedure and scale. Clin Rehabil. 1998; 12: 107–119.[Abstract/Free Full Text]
10. Collen FM, Wade DT, Robb GF, Bradshaw CM. The Rivermead Mobility Index: a further development of the Rivermead Motor Assessment. Int Disabil Stud. 1991; 13: 50–54.[Medline] [Order article via Infotrieve]
11. Trigg R, Wood D. The Subjective Index of Physical and Social Outcome (SIPSO): a new measure for use with stroke patients. Clin Rehabil. 2000; 14: 288–299.[Abstract/Free Full Text]
12. Ware JE, Sherbourne CD. The MOS 36-item Short-Form Health Survey (SF36). Med Care. 1992; 30: 6, 473–481.[Medline] [Order article via Infotrieve]
13. World Health Organization. International Classification of Functioning, Disability and Health. Geneva: World Health Organization; 2001.
14. Stucki G, Ewert T, Cieza A. Value and application of the ICF in rehabilitation medicine. Disabil and Rehabil. 2003; 25: 628–634.
15. Richards CL, Malouin F, Dumas F, Tardif D. Gait velocity as an outcome measure of locomotor recovery after stroke. In: Craik RL, Oatis CA eds. Gait Analysis. Theory and Application. St Louis, MO: Mosby; 1995: 355–364.
16. Wade D. Measurement in Neurological Rehabilitation. Oxford, UK: Oxford University Press; 1992.
17. Evans OM, Goldie P, Hill K. Systematic and random error in repeated measurements of temporal and distance parameters after stroke. Arch Phys Med Rehabil. 1997; 78: 725–729.[CrossRef][Medline] [Order article via Infotrieve]
18. Collen F, Wade D, Bradshaw C. Mobility after stroke: reliability of measures of impairment and disability. Int Disabil Stud. 1990; 12: 6–9.[Medline] [Order article via Infotrieve]
19. Perry J, Garrett, Gronley J, Mulroy S. Classification of walking handicap in the stroke population. Stroke. 1995; 26: 982–989.[Abstract/Free Full Text]
20. Enright PL, Sherrill DL. Reference equations for the six-minute walk in healthy adults. Am J Respir Crit Care Med. 1998; 158: 1384–1387.[Abstract/Free Full Text]
21. Pohl PS, Duncan PW, Perera S, Liu W, Min Lai S, Studenski S, Long J. Influence of stroke-related impairments on performance in 6 minute walk test. J Rehabil Res Dev. 2002; 39: 439–444.[Medline] [Order article via Infotrieve]
22. Cohen JJ, Sveen JD, Walker JM, Brummel-Smith K. Establishing criteria for community ambulation. Top Ger Rehabil. 1983; 1: 71–77.
23. Robinett C, Vondran M. Functional ambulation velocity and distance requirements in rural and urban communities. Phys Ther. 1988; 68: 1371–1373.[Medline] [Order article via Infotrieve]
24. Hill K, Ellis P, Bernhardt J, Maggs P, Hull S. Balance and mobility outcomes for stroke patients: a comprehensive audit. Aust J Phys Ther. 1997; 43: 173–180.
25. Keith RA, Granger CV, Hamilton BB, Sherwin FS. The functional independence measure: a new tool for rehabilitation. Adv Clin Rehabil. 1987; 1: 6–18.[Medline] [Order article via Infotrieve]
26. Holden M, Gill K, Magliozzi M. Gait assessment for neurologically impaired patients. Phys Ther. 1986; 66: 1530–1539.[Medline] [Order article via Infotrieve]
27. Krishnan LV, O’Kane KS, Gill-Body KM. Reliability of a modified version of the Dynamic Gait Index—a pilot study. NeuroReport. 2002; 26: 8–14.
28. Powell L, Myers A. The Activities-specific Balance Confidence (ABC) Scale. J Gerontol A Biol Sci Med Sci. 1995; 50A: M28–M34.[Medline] [Order article via Infotrieve]
29. Paya J, Hale L. Validation of the Activities-Specific Balance Confidence Scale (ABC) and the Falls Efficacy Scale (FES) in People with Stroke (MHSc Thesis). Wellington South, New Zealand: University of Otago; 2004.
30. Inness L, Howe J, Verrier MC, Williams JI. Development of the Community Balance and Mobility Scale. (CB&M) for Traumatic Brain Injury (TBI). Indianapolis, IN: American Congress of Rehabilitation Medicine; 1999.
31. Mahoney FI, Barthel DW. Functional evaluation: the Barthel Index. Md State Med J. 1965; 23: 61–64.
32. Wood-Dauphinee SL, Opzoomer A, Williams JI, Marchand B, Spitzer WO. Assessment of global function: the Reintegration to Normal Living Index. Arch Phys Med Rehabil. 1988; 69: 583–590.[Medline] [Order article via Infotrieve]
33. Bergner M, Bobbitt RA, Carter WB, Gibson BS. The Sickness Impact Profile: development and final revision of a health status measure. Med Care. 1981; 19: 789–805.
34. Holbrook M, Skilbeck CE. An activities index for use with stroke patients. Age Ageing. 1983; 12: 166–170.[Abstract/Free Full Text]
35. Nouri FM, Lincoln NB. An extended activities of daily living scale for stroke patients. Clin Rehabil. 1987; 1: 301–305.[Abstract/Free Full Text]
36. Duncan PW, Wallace D, Min Lai S, Johnson D, Embretson S, Laster LJ. The stroke impact scale version 2.0. Stroke. 1999; 30: 2131–2140.[Medline] [Order article via Infotrieve]
37. Duncan PW, Jorgensen H, Wade DT. Outcome measures in acute stroke trials. Stroke. 2000; 31: 1429–1438.[Abstract/Free Full Text]
38. Latham NK, Haley SM. Measuring functional outcomes across postacute care: current challenges and future directions. Crit Rev Phys Rehabil Med. 2003; 15: 1983–1998.
39. Ruta DA, Garratt AM, Leng M, Russell IT, Macdonald LM. A new approach to the measurement of quality of life: the patient-generated index. Med Care. 1994; 11: 1109–1126.[CrossRef]
40. Stratford P, Gill C, Westaway M, Binkley J. Assessing disability and change of individual patients: a report of a patient specific measure. Phys Canada. 1995; 47: 258–263.
41. Ward MM, Marx AS, Barry NN. Identification of clinically important changes in health status using receiver operating characteristic curves. J Clin Epidemiol. 2000; 53: 279–284.[CrossRef][Medline] [Order article via Infotrieve]
42. Streiner DL, Norman G. Health Measurement Scales: A Practical Guide to Their Development and Use. 3rd Edition. Oxford, UK: Oxford University Press, 1998.
43. Rochester L, Hetherington V, Jones D, Nieuwboer A, Willems AM, Kwakkel G, Van Wegen E. Attending to the task: interference effects of functional tasks on walking in Parkinson’s disease and the role of cognition, depression, fatigue and balance. Arch Phys Med Rehabil. 2004; 85: 1578–1585.[CrossRef][Medline] [Order article via Infotrieve]
44. Rochester L, Hetherington V, Jones D, Nieuwboer A, Willems AM, Kwakkel G, Van Wegen E. The effect of external rhythmical cues (auditory and visual) on walking during a functional task in the home in people during a functional task in the home in people with Parkinson’s disease. Arch Phys Med Rehabil. In press.
45. Doyle P. Measuring health outcomes in stroke survivors. Arch Phys Med Rehabil. 2002; 83 (suppl 2): S39–S43.[CrossRef][Medline] [Order article via Infotrieve]

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This Article Abstract Full Text (PDF) All Versions of this Article: 36/7/1457    most recent 01.STR.0000170698.20376.2ev1 Alert me when this article is cited Alert me if a correction is posted Citation Map Services Email this article to a friend Similar articles in this journal Similar articles in PubMed Alert me to new issues of the journal Download to citation manager Request Permissions Citing Articles Citing Articles via HighWire Citing Articles via Google Scholar Google Scholar Articles by Lord, S. E. Articles by Rochester, L. Search for Related Content PubMed PubMed Citation Articles by Lord, S. E. Articles by Rochester, L. Related Collections Exercise/exercise testing/rehabilitation Acute Cerebral Infarction Acute Stroke Syndromes