Research Article | DOI: https://doi.org/10.64585/3065-0097-3-2-20

Incidence and Risk Factors of Transient Global Amnesia at High Altitudes: A Population-Based Analysis

  • David J. Alexander 1*

  • Alexander Kaizer 2

  • Gary Luckasen 3

  • Sean Pauzauskie 1

1. University of ColoradoSchool of Medicine,Colorado, USA

2. Colorado School of Public Health Department of Biostatistics &Informatics, Colorado, USA

3. Heart Center of the Rockies, USA

*Corresponding Author: David J. Alexander, University of Colorado School of Medicine, Colorado, USA

Citation: David J. Alexander, Alexander Kaizer, Gary Luckasen, Sean Pauzauskie (2026), Incidence and Risk Factors of Transient Global Amnesia at High Altitudes: A Population-Based Analysis; J. Neurology and Neurological Research, 3(1): DOI: 10.64585/3065-0097-3-1-20.

Copyright : © 2026 David J. Alexander. This open-access article is distributed under the terms of The Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Received: 15 January 2026 | Accepted: 02 February 2026 | Published: 15 April 2026

Keywords: transient global amnesia, vascular risk factors, altitude, hypoxia

Abstract

Objective:

Report risk factors and incidence of transient global amnesia (TGA) in Northern Colorado. Compare vascular health of Colorado TGA patients with the broader TGA patient population. Discuss altitude-related hypoxia as a potential contributor to TGA pathophysiology.

Background:

TGA is a rare syndrome of sudden anterograde and occasional retrograde amnesia, resolving within 24 hours. Its mechanism remains unclear.Based on EHR data, incidenceof TGA in Northern Coloradois significantly higherthan the national average, providing a setting to confirm risk factors while raising a question of altitude-related hypoxia in the pathophysiology of TGA.

Design/Methods:

Using Epic Cosmos data, we retrospectively enrolled 246 patients between 2019-2023 based on having a diagnosis of TGA in Northern Colorado, assessing single vs recurrent episodes, vascular/emotional risk factors, and demographics. Additionally, the database was utilized to compare prevalence of TGA within the state of Colorado with the broader population, as well as contrasting comorbidities between Colorado TGA patients and TGA patients in the broader population.

Results:

In the Northern Colorado cohort, the prevalence of hypertension, hyperlipidemia, coronary artery disease, anxiety, depression, and seizure disorder was significantly higher than U.S. general population estimates (all p < 0.001). Separately, using the Epic Cosmos database, TGA prevalence was significantly higher in Colorado than in the broader Epic Cosmos population (p < 0.0001). Among patients with TGA, Colorado cases exhibited lower rates of hypertension (ages 40-85, p <0.005) and hyperlipidemia (ages 50-85, p < 0.0005) than TGA cases outside Colorado.

Conclusions:

Significant differences in vascular and emotional risk factors betweenTGA patients and the generalpopulation support vascular and catecholamine-stress mechanisms. Higher seizure-disorder prevalence supports EEG to exclude transient epileptic amnesia. Despite a lower vascular comorbidity burden, TGA was more prevalent in Colorado than in the broader population, indicating a mechanistic gap, possibly associated with altitude-related hypoxia unmasking TGA in susceptible individuals.

INTRODUCTION

 

Transient global amnesia (TGA) was initially described by Fisher and Adams in 1958 [1]. TGA is characterized by a sudden-onset anterograde amnesia with temporary retrograde amnesia that is unrelatedto seizure or stroke. Many etiologies have been posited in that time, including venous congestion, arterialischemia, catecholamine stress, cortical spreading depression, and epileptic mechanisms [2-6]. The commonality between these competingtheories is dysfunction at the hippocampus.

TGA is a relatively benigndiagnosis, as studieshave shown that short and long term risk of stroke, seizures, and cognitive impairment do not increase [7,8].

Epidemiology

The majority of individuals presenting with TGA are between the ages of 50-80. Amnestic episodes last for several hours, typically resolving within 1-24 hours. TGA is a relatively rare syndrome, with reported incidence ranging 3.4 – 10.4/100,000 [9]. The incidence of TGA in Northern Colorado is elevated at 13.8 per 100,000, based on Epic data from 2 counties in 2019. Data from other health systems was not included, so this figure may underestimate the true prevalence.

TGA recurrence occurs in up to 13.7% of patientsbased on a 2020 study [10]. TGA is often associated with a precipitating event involving emotional or physical stress, including scenarios such as receivingdifficult news, sexual intercourse, or submerging in a body of hot or cold water. Such events may precede up to 89% of TGA episodes [11].

Altitude

Previous population studies of transient global amnesia have been conducted with limited attention to environmental modifiers of incidence. Higher-altitude regions differ from sea-level populations in effective oxygen availability and altitude-related exposures, including acute stress and physical exertion, which are commonly reported antecedents to TGA episodes [12,13].

Despite a growingbody of research,no one mechanism has sufficiently explained the development of TGA. It is possible that TGA as a syndrome is a shared end point with a multifactorial pathogenesis. Our study aims to identify incidence of TGA in Northern Colorado and compare associated risk factorswith national data, while identifying discrepancies potentially related to regional altitude- related hypoxic exposure.

METHODS

 

We conducted a retrospective cross-sectional observational study using de-identified electronic health record data from Epic Cosmos (COMIRB#: 21-2777). Patients with a diagnosis of TGA based on ICD-10 codes in Northern Colorado betweenJune 2019 and June 2023 were identified. After manual chart review, 21 cases were excluded for insufficient documentation, ambiguous diagnosis, or duplicate entries, yielding a final cohort of 246 patients.

For this Northern Colorado cohort, categorical data were collected encompassing comorbidities, social history, context of TGA episode, and other biological and demographic data. Comorbidities were determined from concurrent diagnoses at the time of TGA diagnosis encounter. Sample comorbidity prevalence was compared to US or CO-specific populations via a one-sample, two- sided test of proportions. Two-sample tests for equality of proportions with continuity correction were performed, assuming independence between groups, random sampling from the respective populations, binary outcome variables, and sufficiently large sample sizes to justify approximation to a normal distribution. US and CO estimates were derived from various governmental surveys and reports for the variables hypertension (HTN), hyperlipidemia (HL), diabetes mellitus (DM), coronary arterydisease (CAD), anxiety,depression, bipolar disorder, alcohol use disorder, seizuredisorder, and TGA recurrence [14-22].

Separately, Epic Cosmos was used to compare the prevalence of TGA diagnoses in Colorado with the broader Epic Cosmos population, stratified by age. Among patients with TGA within Epic Cosmos, Colorado cases were compared with TGA cases outside of Colorado to assess differences in vascular risk factors, specifically HTN and HL. Epic Cosmos is a dataset created in collaboration with a community of health systems using Epic representing more than 300 million patient records from over 1,762 hospitals and 40,700 clinics as of September 2025. This community represents patients from all 50 states, D.C., Canada, Lebanon, and Saudi Arabia. Analyses were completed with R v4.1.0 (Vienna, Austria). Comparison populations were selected based on the best available public data for each variable, prioritizing Colorado-specific estimates when available and U.S. estimates otherwise. Epic Cosmos data is a proprietary, HIPAA-limited dataset from participating healthcare organizations. Data cannot be downloaded, removed, or directly accessed without affiliation to a member organization and proper authorization.

RESULTS

 

VariableTGA PrevalenceUS PrevalenceCO Prevalence
Hypertension53.2%32.5%(p<0>25.8% (p<0>
Hyperlipidemia52.8%33.3% (p<0>29.9% (p<0>
Diabetes10.6%10.6% (p=1.000)7.6% (p=0.076)
Coronaryartery disease16.1%6.7% (p<0>No data
Anxiety27.8%19.1% (p<0>No data
Depression28.4%4.7% (p<0>No data
Bipolar1.4%2.8% (p<0>No data
AlcoholUse Disorder2.8%5.3% (p=0.127)No data
SeizureDisorder10.1%1.2% (p<0>No data
TGA Recurrence15.8%5.8-13.7%No data

Table 1. Prevalence of variables among Northern ColoradoTGA group vs U.S./Colorado generalpopulation prevalence.

 

The Northern Colorado TGA group (n = 246) had a mean ageof 69.8 years (SD = 10.9) and a mean BMI of 27.6 (SD = 4.92). Compared with U.S. and Colorado population estimates, the  Northern  Colorado  TGA  cohort  had significantly higher prevalence of HTN, HL, CAD, anxiety, depression, and seizure disorders (all p<0>

 

Age (years)US SampleColorado SampleP value
≥18 - <30>0.0021%0.0030%0.110
≥30 - <40>0.0032%0.0044%0.090
≥40 - <50>0.0080%0.0098%0.134
≥50 - <65>0.0360%0.0570%2.20E-16
≥65 - <75>0.0772%0.1184%2.20E-16
≥75- <85>0.0770%0.1089%8.76E-08
≥850.0430%0.0702%0.000353

Table 2. Proportion of TGA diagnoseswithin the Epic Cosmos sample.

 

Within the Epic Cosmos dataset, the proportion of patients diagnosed with TGA was significantly higher in Colorado compared to the nationwide sample in the age groups 50- 85+ (p<0>

Age (years)US SampleColorado SampleP value
≥18 - <30>13.6%NANA
≥30 - <40>25.5%NANA
≥40 - <50>39.7%24.8%0.00335
≥50 - <65>51.4%39.2%8.13E-10
≥65 - <75>61.3%51.4%2.33E-09
≥75- <85>69.9%58.2%1.28E-08
≥8576.2%69.6%0.110

Table 3. Prevalence of HTN amongTGA patients withinthe Epic Cosmossample (US vs. CO).

Among patients with TGA in the Epic Cosmos dataset, the prevalence of HTN among CO TGA patients was found to be significantly lower than the US TGA groups in the age groups 40-85.

 

Age (years)US SampleColorado SampleP value
≥18 - <30>7.7%NANA
≥30 - <40>17.2%NANA
≥40 - <50>34.7%30.7%0.461
≥50 - <65>54.6%39.5%2.28E-14
≥65 - <75>68.0%60.2%7.36E-07
≥75- <85>72.5%65.4%0.000460
≥8569.4%62.4%0.113

Table 4. Prevalence of HL among TGA patientswithin the Epic Cosmos sample(US vs. CO).

Among patients with TGA in the Epic Cosmos dataset, the prevalence of HL among CO TGA patients was found to be significantly lower than the US TGA groups in the age groups 40-85.

DISCUSSION

 

Vascular

Comorbidities such as HTN, HL, and CAD are well known risk factors for TGA [23]. Our data shows significantly elevated prevalence of vascularrisk factors (HTN, HL, CAD) in the Northern Colorado TGA group when compared to national and Colorado state averages. These results both confirm and strengthen previous studies in support of a vascular mechanism for TGA.

The first region of the cornu ammonis (CA1) of the hippocampus is a vascular watershed susceptible to hypoperfusion and metabolic stress [24]. This poor perfusion can be triggered by Valsalva maneuvers, wherein the resulting venous congestion may lead to transient ischemia in key memory structures, a cascade that may be exacerbated by the presence of vascular risk factors [25]. Diffusion-weightedimaging (DWI) has demonstrated focal CA1lesions following TGA episodes, supporting a vascular ischemic etiology [26].

Cerebrovascular reactivity (CVR), a marker of cerebral blood flow regulation, declines most prominently in the temporal lobe with age, potentially facilitating impaired hemodynamic responsiveness within hippocampal memory circuits and resulting transient hypoperfusion [27].

Emotional stress

Psychiatric comorbidities like depression and anxiety have beenassociated with TGA, with resultant stress states that impair memory encoding and retrieval [28,29].Takotsubo syndrome (TTS), or stress cardiomyopathy, is thought to occur due to an increased level of circulating catecholamines [30,31]. Excesscatecholamine stimulation may also underly TGA, causing cerebral vasospasm and hippocampal dysfunction, supported by reports of concurrent TGA and TTS [32].

The significantly elevated prevalence of depression and anxiety in the Northern Colorado TGA group when compared to the national average supports the etiology of catecholamine stress for TGA that is also implicated in TTS. Individuals with these conditions are predisposed to experiencing elevated stress states, serving as an impetus for TGA. This could open the door for futuretherapies targeted at reducing circulating catecholamine levels in individuals experiencing TGA, such as beta-blocker therapy.

Seizure disorders

The increased prevalence of seizure disorders in the Northern Colorado TGA group compared to national averages may indicatethat clinicians are missing transient epileptic amnesia (TEA) presentations. Another retrospective study found that 18% of suspectedTGA cases had TEA after workup [33].

This finding has substantial clinical significance as management for TEA patients is entirely different than TGA patients regarding initiation of anti-epileptic therapy. Based on these findings, an argument could be made for continuous EEG monitoring for suspected TGA patients to rule out focal temporal lobe epilepsy causing amnesia.

Altitude/hypoxia

The higher prevalence of TGA in Northern Colorado compared with national estimates warrants consideration of regional factors. Effectiveatmospheric oxygen decreases with increasing altitude, and the majority of Northern Colorado is situated at elevations greater than 5,000 feet above sea level. Altitude-related hypoxic stress itself may be a relevant regional factor. Additionally, behaviors and exposures associated with altitude, including physical exertion and acute stress, may also be relevant, both of which have been reportedas common antecedents to TGA episodes. This observed association may reflect a combination of these factors rather than a single causal mechanism.

Tables 2-4 show that the proportion of patients diagnosed with TGA was significantly higher in Colorado than in the broader Epic Cosmos sample among individuals aged 50- 85+. The lack of statistical significance in younger age groups is attributable to the very low incidence of TGA in younger individuals.  However, despite the higher prevalence, Colorado TGA patients had lower rates of hypertension and hyperlipidemia comparedwith TGA patients outside of Colorado, known risk factors for TGA. This discordance suggests that factors beyond vascular comorbidities contribute to the increasedincidence of TGA in Colorado. Altitude-related hypoxia in addition to altitude-related exposures and behaviors may lower the physiologic threshold for hippocampal hypoperfusion, unmasking episodes in susceptible individuals that might not occur at sea level. Given the observational nature of these findings, studies in other high-altitude regions are needed to confirm this association and exclude alternative explanations such as regional diagnostic bias.

Study Limitations and Next Steps

This study has several limitations. There is potential for bias in the retrospective design. The Epic Cosmos database is a sample of EHR data, not full populationdata, potentially limiting the generalizability of this study. Confounding variables for comorbidities such as migraine or vascular disease were not available within the national databases and not addressed in the analysisperformed for this study. The heterogeneity of data sources for population comparison creates the potential for ascertainment bias. The observational natureof the study limits the strength of conclusions drawn regarding the altitude-hypoxia theory. Future studies could be strengthened with matched controls, additional objective data (EEG, DWI), and more granular data to stratify TGA patients by altitude such as zip codes.

 

CONCLUSIONS

 

Although the etiology of TGA has not been proven, the significant findings of our study including the elevated prevalence of vascular and emotional stress risk factors may point towardsa shared mechanism for TGA. There is a possibility that this syndrome is the shared end point of multiple mechanisms. Catecholamine-induced vasospasm, venous congestion and arterialinsufficiency may all lead to transient ischemia and dysfunction of the hippocampus and related memory structures. The discordance generated by higher incidence of TGA in Colorado despite lower prevalence of classic TGA risk factors creates a gap in our understanding of the mechanism, which can potentially be explained by altitude-related hypoxia.

At present, treatment of TGA largely involves ruling out other diagnoses and reassurance while waiting for the amnestic episode to resolve. Our findings combined with the body of evidence supporting vascular and catecholamine stress etiologies highlight the potential for interventions targeting these mechanisms. Low-cost and low-risk interventions to reduce amnestic time could change the management of TGA. Prospective studies employing interventions targeted  at  the  proposed mechanisms may prove useful in reducing amnestictime in TGA patients. Although TGA is relativelyrare and is considered to be a benign diagnosis, it remains a frightening experience for patients and their families considering the more sinister items on a differential for altered mental status and amnesia. Bolstering the ability of clinicians to recognize this syndrome and further research on TGA makes a real difference in the lives of those that experience it.

Statements and Declarations

The authorsdeclare that they have no conflict of interest.

References

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