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Clinical rationale

The argument is not that these assessments are novel. It is that the physiology they measure deteriorates years before the diagnoses we make from it, and that in a general adult panel abnormality is the rule rather than the exception.

1. The base rate is not what most protocols assume

In the National Health and Nutrition Examination Survey for 2009 to 2016, 12.2% of American adults met a full definition of optimal metabolic health in the National Health and Nutrition Examination Survey for 2009 to 2016 — so roughly 88% of US adults did not when metabolic health was defined by contemporary cut points across waist circumference, fasting glucose and HbA1c, blood pressure, triglycerides and HDL cholesterol, with no medication for any of them. Fewer than one in three normal-weight adults met that definition; the figure fell to 8.0% in overweight adults and 0.5% in adults with obesity.

In the Padda Institute patient population the picture is starker still: fewer than 3% of patients overall, and fewer than 1% of chronic pain patients, meet the same definition of metabolic health. Those are practice-reported figures from our own population, not trial outcomes, and individual results vary.

The operational consequence is straightforward. A screening protocol that triggers on overt abnormality will under-detect, because the interesting population is the one that is still compensating.

2. Small fibers fail before large fibers

Nerve injury associated with impaired glucose tolerance and the metabolic syndrome preferentially affects the small fibers, and nerve conduction studies are relatively insensitive to it — which is why intraepidermal nerve fiber density on skin biopsy is often used to confirm the diagnosis. In practice that means a patient with burning feet and a normal nerve conduction study has usually been tested with the wrong instrument, not reassured.

Electrochemical skin conductance offers a non-invasive route to the same territory. A systematic review identified 24 studies and appraised the method against established reference tests including the quantitative sudomotor axon reflex test, sympathetic skin responses, the thermoregulatory sweat test and skin biopsy.

The American Diabetes Association’s position statement on diabetic neuropathy is explicit that screening should not await symptoms, and that a substantial proportion of distal symmetric polyneuropathy is painless — the patients at highest risk of ulceration are frequently the ones who report the least.

3. A normal ankle-brachial index does not exclude disease

Medial calcification makes ankle vessels resistant to compression, producing a falsely normal or elevated index in a limb with real disease. This is common in long-standing diabetes and in chronic kidney disease — precisely the population being screened. Pulse volume recording and the toe-brachial index do not depend on vessel compressibility, which is why the suite includes all three rather than the index alone.

Peripheral artery disease is the third leading cause of atherosclerotic cardiovascular morbidity after coronary disease and stroke, with an estimated 202 million people affected worldwide in 2010. In the same systematic review, prevalence in the wealthier countries surveyed rose from about 5% at ages 45–49 to about 18% by ages 85–89.

4. Artery and nerve imitate each other

Arterial and autonomic nerve dysfunction are the most frequent complications of diabetes, kidney disease, hepatitis, thyroid failure and aging, and they present with overlapping symptoms. Distinguishing them changes management materially. Testing both in the same sitting is the practical way to do it.

5. Balance is a measurable, high-yield target

35.4% of US adults aged 40 and older — about 69 million people — had vestibular dysfunction on the modified Romberg test in a national survey; the odds were 70% higher among people with diabetes, and symptomatic individuals had a twelve-fold increase in the odds of falling. Falls remain the leading cause of injury and injury death in adults 65 and over: 27.6% reported a fall in the previous year in 2020, and there were 38,742 fall deaths in 2021.

The cognitive and fall prevention pairing follows directly from this.

Where the evidence is thinner, and what that means

Not every assessment in this suite has a large randomized trial behind it as a screening intervention, and it is worth saying so plainly. Two things follow, and neither is a reason to avoid measuring.

First, the trials that do exist have systematically excluded the patients this testing is aimed at. Randomized studies of vascular and neuropathic interventions routinely exclude people with multiple comorbidities, significant obesity, polypharmacy, long symptom duration and prior failed treatment. A clean result in a highly selected population does not transfer automatically, and a null or modest result in that population does not establish that the measurement is useless in patients who were screened out.

Second, several of these are diagnostic measurements rather than interventions, and the appropriate standard for a diagnostic is whether it measures what it claims to measure and whether the result changes management. Both are answerable, and both are addressed on the individual test pages.

For patients: the same subject written for the person having the assessment is at the patient track.

Evidence and limitations

Written for a reader who wants the literature rather than the summary. Where the evidence is thin we say so and give both sides, and where a claim is mechanistic rather than demonstrated we label it as such.

Mechanism

The suite is assembled around one observation: the physiology that determines how a patient ages — arterial compliance, autonomic reserve, small-fiber integrity, substrate handling, vestibular function — degrades measurably for years before it produces a diagnosis. Each component fails by a different mechanism and is therefore invisible to the others’ instruments, which is why the argument is for a battery rather than for any single study.

What the evidence shows

Base rate. In the 2009–2016 National Health and Nutrition Examination Survey (n=8,721), 12.2% (95% CI 10.9 to 13.6) of American adults met a full definition of optimal metabolic health; under older Adult Treatment Panel III cut points the figure was 19.9%. Fewer than one third of normal-weight adults met it, falling to 8.0% in overweight adults and 0.5% in adults with obesity.

Autonomic prognosis. A meta-analysis synthesizing 26 studies found pooled relative risks in patients with versus without cardiac autonomic neuropathy of 3.16 (95% CI 2.42 to 4.13) for cardiovascular events and 3.17 (95% CI 2.11 to 4.78) for all-cause mortality, with a dose-response between possible and definite disease. The Toronto Consensus panel put confirmed prevalence at around 20%, rising to 65% with age and diabetes duration.

Arterial stiffness. Across 17 longitudinal studies and 15,877 subjects followed a mean of 7.7 years, high versus low aortic pulse wave velocity carried pooled relative risks of 2.26 for total cardiovascular events, 2.02 for cardiovascular mortality and 1.90 for all-cause mortality, with each 1 m/s increase corresponding to adjusted risk increases of 14–15%.

Peripheral arterial disease. 202 million people worldwide in 2010, prevalence rising from about 5% in the late forties to about 18% by the late eighties in the wealthier settings surveyed, with current smoking the strongest association (odds ratio 2.72), then diabetes (1.88), hypertension (1.55) and high cholesterol (1.19).

Falls. 35.4% of US adults aged 40 and over had measurable vestibular dysfunction, with a twelve-fold increase in the odds of falling among symptomatic individuals. 27.6% of adults 65 and over reported a fall in 2020; 38,742 died from unintentional falls in 2021.

Small fibers. Nerve injury associated with impaired glucose tolerance and metabolic syndrome preferentially affects small fibers and is relatively invisible to nerve conduction studies. A systematic review of electrochemical skin conductance appraised 24 studies against established reference tests; in 221 patients with type 2 diabetes, abnormal hand or foot conductance had 97% sensitivity against a clinical screening instrument in those with five or more years of diabetes.

Limitations of that evidence

  • Almost all of it is observational. The prognostic figures above come from longitudinal cohorts and meta-analyses of cohorts, not from randomized trials of screening.
  • Much of it is diabetic. The autonomic prognosis literature in particular is dominated by diabetes cohorts; extrapolating pooled relative risks to non-diabetic patients with autonomic abnormality is not supported.
  • Method mismatch is a recurring trap. The stiffness meta-analysis used carotid-femoral pulse wave velocity; cuff and optical indices are related and not interchangeable. Quoting one method’s hazard ratio for another would be wrong and is avoided throughout this site.
  • Diagnostic-accuracy quality is poor in places. A 2022 systematic review of bedside vascular tests in patients prone to medial arterial calcification found risk of bias in 20 of 23 included studies and counseled against relying on any single test.
  • Definitions drive prevalence. Changing metabolic-health cut points moved the estimate from 19.9% to 12.2% in the same survey data.
  • Industry authorship appears in parts of the sudomotor literature.

What remains uncertain

No randomized trial has shown that screening asymptomatic adults with this battery, and acting on the results, reduces events. A ClinicalTrials.gov search on 20 August 2026 for interventions matching Sudoscan, electrochemical skin conductance or sudomotor returned 41 registered studies, predominantly small, single-center and designed around diagnostic agreement or prevalence rather than outcomes. That should be stated rather than implied.

Two things follow, and neither is a reason to stop measuring. First, the standard that applies to a diagnostic is whether it measures what it claims and whether the result changes management. Both are answerable from the literature above, and the five situations where management does change are set out on what changes for the patient.

Second, the trials that exist in adjacent territory systematically exclude the patients this testing is aimed at — multiple comorbidities, polypharmacy, significant obesity, long symptom duration, prior failed treatment. A clean result in a highly selected population does not transfer automatically, and a null or modest result in that population does not establish that the measurement is uninformative in a complex one. Naming a study’s exclusion criteria is a verifiable fact about the study, not a rhetorical move.

Talk to someone about testing

Tell us what you are trying to find out and we will explain which Measura assessments answer that question, what each one involves, and how the results are reviewed with a clinician.

4477 Woodson Rd, Suite 201, St. Louis, MO 63134. Monday to Friday, 9:00 a.m. to 5:00 p.m. Please do not send symptoms, diagnoses or images through a web form — a website form is not a secure medical channel. Call us with clinical detail.

Common questions

What does this add over an annual physical?

Function rather than status: vessel compliance, small-fiber integrity, autonomic reserve and measured metabolic rate are not part of a standard examination. What these assessments add.

Is sudomotor testing a substitute for nerve conduction studies?

No — they measure different fiber populations and answer different questions. Small-fiber versus large-fiber neuropathy.

How do I decide who to send?

There is a defined criteria set applied at intake. Who should have this testing.

What happens to an abnormal result?

It is interpreted in context and, where borderline, repeated before anything is concluded. What a result can and cannot tell you.

References

  • Araújo J, Cai J, Stevens J. Prevalence of Optimal Metabolic Health in American Adults: National Health and Nutrition Examination Survey 2009–2016. Metabolic Syndrome and Related Disorders. 2019;17(1):46–52. doi:10.1089/met.2018.0105
  • Chowdhury M, Nevitt S, Eleftheriadou A, et al. Cardiac autonomic neuropathy and risk of cardiovascular disease and mortality in type 1 and type 2 diabetes: a meta-analysis. BMJ Open Diabetes Research & Care. 2021;9(2):e002480. doi:10.1136/bmjdrc-2021-002480
  • Spallone V, Ziegler D, Freeman R, et al. Cardiovascular autonomic neuropathy in diabetes: clinical impact, assessment, diagnosis, and management. Toronto Consensus Panel on Diabetic Neuropathy. Diabetes/Metabolism Research and Reviews. 2011;27(7):639–653. doi:10.1002/dmrr.1239
  • Vlachopoulos C, Aznaouridis K, Stefanadis C. Prediction of cardiovascular events and all-cause mortality with arterial stiffness: a systematic review and meta-analysis. Journal of the American College of Cardiology. 2010;55(13):1318–1327. doi:10.1016/j.jacc.2009.10.061
  • Fowkes FGR, Rudan D, Rudan I, et al. Comparison of global estimates of prevalence and risk factors for peripheral artery disease in 2000 and 2010: a systematic review and analysis. Lancet. 2013;382(9901):1329–1340. doi:10.1016/S0140-6736(13)61249-0
  • Aboyans V, Criqui MH, Abraham P, et al. Measurement and interpretation of the ankle-brachial index: a scientific statement from the American Heart Association. Circulation. 2012;126(24):2890–2909. doi:10.1161/CIR.0b013e318276fbcb
  • Brouwers JJWM, Willems SA, Goncalves LN, Hamming JF, Schepers A. Reliability of bedside tests for diagnosing peripheral arterial disease in patients prone to medial arterial calcification: a systematic review. EClinicalMedicine. 2022;50:101532. doi:10.1016/j.eclinm.2022.101532
  • Agrawal Y, Carey JP, Della Santina CC, Schubert MC, Minor LB. Disorders of balance and vestibular function in US adults: data from the National Health and Nutrition Examination Survey, 2001–2004. Archives of Internal Medicine. 2009;169(10):938–944. doi:10.1001/archinternmed.2009.66
  • Kakara R, Bergen G, Burns E, Stevens M. Nonfatal and Fatal Falls Among Adults Aged ≥65 Years — United States, 2020–2021. MMWR Morbidity and Mortality Weekly Report. 2023;72(35):938–943. doi:10.15585/mmwr.mm7235a1
  • Novak P. Electrochemical skin conductance: a systematic review. Clinical Autonomic Research. 2019;29(1):17–29. doi:10.1007/s10286-017-0467-x
  • Vinik AI, Nevoret ML, Casellini C. The new age of sudomotor function testing: a sensitive and specific biomarker for diagnosis, estimation of severity, monitoring progression, and regression in response to intervention. Frontiers in Endocrinology. 2015;6:94. doi:10.3389/fendo.2015.00094
  • Carbajal-Ramírez A, Hernández-Domínguez JA, Molina-Ayala MA, Rojas-Uribe MM, Chávez-Negrete A. Early identification of peripheral neuropathy based on sudomotor dysfunction in Mexican patients with type 2 diabetes. BMC Neurology. 2019;19(1):109. doi:10.1186/s12883-019-1332-4
  • Castro J, Miranda B, Castro I, de Carvalho M, Conceição I. The diagnostic accuracy of Sudoscan in transthyretin familial amyloid polyneuropathy. Clinical Neurophysiology. 2016;127(5):2222–2227. doi:10.1016/j.clinph.2016.02.013
  • Cortez M, Singleton JR, Smith AG. Glucose intolerance, metabolic syndrome, and neuropathy. Handbook of Clinical Neurology. 2014;126:109–122. doi:10.1016/B978-0-444-53480-4.00009-6
  • Pop-Busui R, Boulton AJM, Feldman EL, et al. Diabetic Neuropathy: A Position Statement by the American Diabetes Association. Diabetes Care. 2017;40(1):136–154. doi:10.2337/dc16-2042
  • ClinicalTrials.gov registry search for interventions matching “Sudoscan,” “electrochemical skin conductance” or “sudomotor,” 41 registered studies, retrieved 20 August 2026. clinicaltrials.gov

Medically reviewed by Dr. Gurpreet Singh Padda, MD, MBA, MHP, medical director of Measura. Last reviewed .