Adrenal Fatigue: Faux Diagnosis?

Posted on November 30, 2021 by MaryO

This article is based on reporting that features expert sources.

U.S. News & World Report

Adrenal Fatigue: Is It Real?

You may have heard of so-called ‘adrenal fatigue,’ supposedly caused by ongoing emotional stress. Or you might have come across adrenal support supplements sold online to treat it. But if someone suggests you have the controversial, unproven condition, seek a second opinion, experts say. And if someone tries to sell you dietary supplements or other treatments for adrenal fatigue, be safe and save your money.

Tired man sitting at desk in modern office

(GETTY IMAGES)

Physicians tend to talk about ‘reaching’ or ‘making’ a medical diagnosis. However, when it comes to adrenal fatigue, endocrinologists – doctors who specialize in diseases involving hormone-secreting glands like the adrenals – sometimes use language such as ‘perpetrating a diagnosis,’ ‘misdiagnosis,’ ‘made-up diagnosis,’ ‘a fallacy’ and ‘nonsense.’

About 20 years ago, the term “adrenal fatigue” was coined by Dr. James Wilson, a chiropractor. Since then, certain practitioners and marketers have promoted the notion that chronic stress somehow slows or shuts down the adrenal glands, causing excessive fatigue.

“The phenomenon emerged from the world of integrative medicine and naturopathic medicine,” says Dr. James Findling, a professor of medicine and director of the Community Endocrinology Center and Clinics at the Medical College of Wisconsin. “It has no scientific basis, and there’s no merit to it as a clinical diagnosis.”

An online search of medical billing code sets in the latest version of the International Classification of Diseases, or the ICD-10, does not yield a diagnostic code for ‘adrenal fatigue’ among the 331 diagnoses related either to fatigue or adrenal conditions or procedures.

In a March 2020 position statement, the American Association of Clinical Endocrinologists and American College of Endocrinology addressed the use of adrenal supplements “to treat common nonspecific symptoms due to ‘adrenal fatigue,’ an entity that has not been recognized as a legitimate diagnosis.”

The position statement warned of known and unknown health risks of off-label use and misuse of hormones and supplements in patients without an established endocrine diagnosis, as well as unnecessary costs to patients and the overall health care system.

Study after study has refuted the legitimacy of adrenal fatigue as a medical diagnosis. An August 2016 systematic review combined and analyzed data from 58 studies on adrenal fatigue including more than 10,000 participants. The conclusion in a nutshell: “Adrenal fatigue does not exist,” according to review authors in the journal BMC Endocrine Disorders.

Adrenal Action

You have two adrenal glands in your body. These small triangular glands, one on top of each kidney, produce essential hormones such as aldosterone, cortisol and male sex hormones such as DHEA and testosterone.

Cortisol helps regulate metabolism: How your body uses fat, protein and carbohydrates from food, and cortisol increases blood sugar as needed. It also plays a role in controlling blood pressure, preventing inflammation and regulating your sleep/wake cycle.

As your body responds to stress, cortisol increases. This response starts with signals between two sections in the brain: The hypothalamus and the pituitary gland, which act together to release a hormone that stimulates the adrenal glands to make cortisol. This interactive unit is called the hypothalamic pituitary adrenal axis.

While some health conditions really do affect the body’s cortisol-making ability, adrenal fatigue isn’t among them.

“There’s no evidence to support that adrenal fatigue is an actual medical condition,” says Dr. Mary Vouyiouklis Kellis, a staff endocrinologist at Cleveland Clinic. “There’s no stress connection in the sense that someone’s adrenal glands will all of a sudden just stop producing cortisol because they’re so inundated with emotional stress.”

If anything, adrenal glands are workhorses that rise to the occasion when chronic stress occurs. “The last thing in the body that’s going to fatigue are your adrenal glands,” says Dr. William F. Young Jr., an endocrinology clinical professor and professor of medicine in the Mayo Clinic College of Medicine at Mayo Clinic in Rochester, Minnesota. “Adrenal glands are built for stress – that’s what they do. Adrenal glands don’t fatigue. This is made up – it’s a fallacy.”

The idea of adrenal glands crumbling under stress is “ridiculous,” Findling agrees. “In reality, if you take a person and subject them to chronic stress, the adrenal glands don’t shut down at all,” Findling says. “They keep making cortisol – it’s a stress hormone. In fact, the adrenal glands are just like the Energizer Bunny – they just keep going. They don’t stop.”

Home cortisol tests that allow consumers to check their own levels can be misleading, Findling says. “Some providers who make this (adrenal fatigue) diagnosis, provide patients with testing equipment for doing saliva cortisol levels throughout the day,” he says. “And then, regardless of what the results are, they perpetrate this diagnosis of adrenal fatigue.”

Saliva cortisol is a legitimate test that’s frequently used in diagnosing Cushing’s syndrome, or overactive adrenal glands, Findling notes. However, he says, a practitioner pursuing an adrenal fatigue diagnosis could game the system. “What they do is: They shape a very narrow normal range, so narrow, in fact, that no normal human subject could have all their saliva cortisol (levels) within that range throughout the course of the day,” he says. “Then they convince the poor patients that they have adrenal fatigue phenomena and put them on some kind of adrenal support.”

Loaded Supplements

How do you know what you’re actually getting if you buy a dietary supplement marketed for adrenal fatigue or ‘adrenal support’ use? To find out, researchers purchased 12 such supplements over the counter in the U.S.

Laboratory tests revealed that all supplements contained a small amount of thyroid hormone and most contained at least one steroid hormone, according to the study published in the March 2018 issue of Mayo Clinic Proceedings. “These results may highlight potential risks for hidden ingredients in unregulated supplements,” the authors concluded.

Supplements containing thyroid hormones or steroids can interact with a patient’s prescribed medications or have other side effects.

“Some people just assume they have adrenal fatigue because they looked it up online when they felt tired and they ultimately buy these over-the-counter supplements that can be very dangerous at times,” Vouyiouklis Kellis says. “Some of them contain animal (ingredients), like bovine adrenal extract. That can suppress the pituitary axis. So, as a result, your body stops making its own cortisol or starts making less of it, and as a result, you can actually worsen the condition rather than make it better.”

Any form of steroid from outside the body, whether a prescription drug like prednisone or extract from cows’ adrenal glands, “can shut off the pituitary,” Vouyiouklis Kellis explains. “Because it’s signaling to the pituitary like: Hey, you don’t need to stimulate the adrenals to make cortisol, because this patient is taking it already. So, as a result, the body ultimately doesn’t produce as much. And, so, if you rapidly withdraw that steroid or just all of a sudden decide not to take it anymore, then you can have this acute response of low cortisol.”

Some adrenal support products, such as herbal-only supplements, may be harmless. However, they’re unlikely to relieve chronic fatigue.

Fatigue: No Easy Answers

If you’re suffering from ongoing fatigue, it’s frustrating. And you’re not alone. “I have fatigue,” Young Jr. says. “Go to the lobby any given day and say, ‘Raise your hand if you have fatigue.’ Most of the people are going to raise their hands. It’s a common human symptom and people would like an easy answer for it. Usually there’s not an easy answer. I think ‘adrenal fatigue’ is attractive because it’s like: Aha, here’s the answer.”

There aren’t that many causes of endocrine-related fatigue, Young Jr. notes. “Hypothyroidism – when the thyroid gland is not working – is one.” Addison’s disease, or adrenal insufficiency, can also lead to fatigue among a variety of other symptoms. Established adrenal conditions – like adrenal insufficiency – need to be treated.

“In adrenal insufficiency, there is an intrinsic problem in the adrenal gland’s inability to produce cortisol,” Vouyiouklis Kellis explains. “That can either be a primary problem in the adrenal gland or an issue with the pituitary gland not being able to stimulate the adrenal to make cortisol.”

Issues can arise even with necessary medications. “For example, very commonly, people are put on steroids for various reasons: allergies, ear, nose and throat problems,” Vouyiouklis Kellis says. “And with the withdrawal of the steroids, they can ultimately have adrenal insufficiency, or decrease in cortisol.”

Opioid medications for pain also result in adrenal sufficiency, Vouyiouklis Kellis says, adding that this particular side effect is rarely discussed. People with a history of autoimmune disease can also be at higher risk for adrenal insufficiency.

Common symptoms of adrenal insufficiency include:

  • Fatigue.
  • Weight loss.
  • Decreased appetite.
  • Salt cravings.
  • Low blood pressure.
  • Abdominal pain.
  • Nausea, vomiting or diarrhea.
  • Muscle weakness.
  • Hyperpigmentation (darkening of the skin).
  • Irritability.

Medical tests for adrenal insufficiency start with blood cortisol levels, and tests for the ACTH hormone that stimulates the pituitary gland.

“If the person does not have adrenal insufficiency and they’re still fatigued, it’s important to get to the bottom of it,” Vouyiouklis Kellis says. Untreated sleep apnea often turns out to be the actual cause, she notes.

“It’s very important to tease out what’s going on,” Vouyiouklis Kellis emphasizes. “It can be multifactorial – multiple things contributing to the patient’s feeling of fatigue.” The blood condition anemia – a lack of healthy red blood cells – is another potential cause.

“If you are fatigued, do not treat yourself,” Vouyiouklis Kellis says. “Please seek a physician or a primary care provider for evaluation, because you don’t want to go misdiagnosed or undiagnosed. It’s very important to rule out actual causes that would be contributing to symptoms rather than ordering supplements online or seeking an alternative route like self-treating rather than being evaluated first.”

SOURCES

The U.S. News Health team delivers accurate information about health, nutrition and fitness, as well as in-depth medical condition guides. All of our stories rely on multiple, independent sources and experts in the field, such as medical doctors and licensed nutritionists. To learn more about how we keep our content accurate and trustworthy, read our editorial guidelines.

James Findling, MDFindling is a professor of medicine and director of the Community Endocrinology Center and Clinics at the Medical College of Wisconsin.

Mary Vouyiouklis Kellis, MDVouyiouklis Kellis is a staff endocrinologist at Cleveland Clinic.

William F. Young Jr., MDYoung Jr. is an endocrinology clinical professor and professor of medicine in the Mayo Clinic College of Medicine at Mayo Clinic in Rochester, Minnesota

From https://health.usnews.com/health-care/patient-advice/articles/adrenal-fatigue-is-it-real?

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Novel Predictive Model for Adrenal Insufficiency in Dermatological Patients with Topical Corticosteroids Use: A Cross-Sectional Study

Posted on November 16, 2021 by MaryO

Purpose: This study aimed to identify predictive factors and to develop a predictive model for adrenal insufficiency (AI) related to topical corticosteroids use.
Methods: The research was conducted using a cross-sectional design. Adult patients with dermatological conditions who had been prescribed topical steroids for at least 12 months by the dermatology outpatient departments of the Faculty of Medicine, Chiang Mai University from June through October 2020 were included. Data on potential predictors, including baseline characteristics and laboratory investigations, were collected. The diagnoses of AI were based on serum 8AM cortisol and low-dose ACTH stimulation tests. Multivariable logistic regression was used for the derivation of the diagnostic score.
Results: Of the 42 patients, 17 (40.5%) had AI. The statistically significant predictive factors for AI were greater body surface area of corticosteroids use, age < 60 years, and basal serum cortisol < 7 μg/dL. In the final predictive model, duration of treatment was added as a factor based on its clinical significance for AI. The four predictive factors with their assigned scores were: body surface area involvement 10– 30% (20), > 30% (25); age < 60 years old (15); basal serum cortisol of < 7 μg/dL (30); and duration of treatment in years. Risk of AI was categorized into three groups, low, intermediate and high risk, with total scores of < 25, 25– 49 and ≥ 50, respectively. The predictive performance for the model was 0.92 based on area under the curve.
Conclusion: The predictive model for AI in patients using topical corticosteroids provides guidance on the risk of AI to determine which patients should have dynamic ACTH stimulation tests (high risk) and which need only close follow-up (intermediate and low risk). Future validation of the model is warranted.

Keywords: adrenal insufficiency, topical corticosteroids, predictive model, skin diseases

Introduction

Topical corticosteroids are frequently used for inflammatory skin diseases owing to their anti-inflammatory and immunosuppressive effects. Common indications for use include diseases such as psoriasis, eczema, atopic dermatitis, and vitiligo.1 In clinical practice, a variety of delivery vehicles and potencies of topical corticosteroids are used.1 Prolonged and/or inappropriate use of topical corticosteroids can lead to adverse side effects.2 These adverse side effects can be categorized as cutaneous and systemic side effects. The most common cutaneous side effect is skin atrophy. Systemic side effects include hypothalamic-pituitary-adrenal (HPA) axis suppression, glaucoma, hyperglycemia and hypertension.3

One of the most worrisome adverse side effects from the use of topical corticosteroids is adrenal insufficiency (AI) resulting from HPA axis suppression. Topically applied corticosteroids can be absorbed systemically through the skin and can suppress the HPA axis.4–8 This adverse outcome, the inability to increase cortisol production after stress, can lead to adrenal crisis, which is potentially life-threatening. Tests that are normally used to diagnose or exclude AI include serum morning cortisol and the dynamic ACTH stimulation test.9

Secondary AI from percutaneous absorption of topical corticosteroids is less common than with parenteral or oral administration. The cumulative doses and the durations of oral corticosteroid therapy associated with HPA axis suppression have been well documented.10 Data regarding the dose and duration of oral corticosteroids and HPA axis suppression have similarly been well established. A study by Curtis et al reported that the use of oral prednisolone >7.5 mg/day for an extended period (>3 weeks) was linked to this adverse event, and that the incidence increased with duration.10 However, corresponding data for topical corticosteroids has been limited. The degree of risk of HPA axis suppression from topical corticosteroids use is associated with the level of percutaneous absorption which, in turn, depends on numerous factors including the age of the patient (younger patients are more susceptible), body surface area treated, quantity of topical corticosteroids used, potency of the drug, duration of therapy, body region of application, the associated compounds used, eg, urea or salicylic acid, the characteristics of the diseased skin, the degree of impairment of skin integrity, and the coexistence of hepatic and/or renal disease.11–13 One study reported that HPA axis suppression occurs when high potency steroids are administered at a cumulative dose per week of >50 g.2

Presently, there is a lack of data on predictive factors for AI and no predicative model of the relationship between secondary AI resulting from HPA axis suppression and topical corticosteroids use. A simple predictive model which could help preclude and predict the risk of AI which incorporates both demographic and biochemical data could potentially reduce the number of dynamic ACTH stimulation tests performed. This study aimed to identify potential predictive factors and to design an easy-to-use model for predicting the risk of AI following topical corticosteroids use in dermatological patients.

Materials and Methods

This cross-sectional study was conducted with 42 patients who were seen at the dermatology outpatient departments at the Faculty of Medicine, Chiang Mai University Hospital over a 5-month period (June – October 2020). The study protocol was approved by the Faculty of Medicine, Chiang Mai University, Ethical Committee (Ethical number: MED-2563-07037). Recruited participants were adult dermatological patients (≥18 years) who had used topical corticosteroids for at least 12 months. Patients with pituitary or adrenal diseases, pregnant women and patients who had been treated with either systemic corticosteroids or other local corticosteroids were excluded. Those who meet all the inclusion criteria gave their informed consent prior to the study. This study was conducted in accordance with the Declaration of Helsinki.

Adrenal Function Evaluation

Adrenal function was evaluated by serum morning (8 AM) cortisol and the low-dose ACTH stimulation test. Patients were instructed to suspend use of topical corticosteroids for at least 24 hours before serum morning cortisol measurement and ACTH stimulation tests. In those with serum morning cortisol between 3 and 17.9 µg/dL, ACTH stimulation tests were performed on the same day between 9–11AM to either exclude or diagnose AI. Serum cortisol concentrations were measured at 8 AM 0 (basal cortisol) as well as 20 and 40 minutes after 5 µg ACTH was administered intravenously.

Data Collection

Epidemiological data collected included gender, age, blood pressure, underlying dermatologic diseases, other underlying diseases, body surface area involvement, sensitive area involvement, topical corticosteroid potency, amount and duration of topical corticosteroids use, symptoms of AI and the presence of Cushingoid features. Biochemical data included serum cortisol at 8 AM, 0 (basal cortisol) and at 20 and 40 minutes after ACTH intravenous injection, serum creatinine, electrolytes and albumin. Serum cortisol levels were measured by electrochemiluminescence assay (ECLIA) (Elecsys® Cortisol II assay, Roche Diagnostics GmbH, Mannheim, Germany).

Definitions

An 8AM cortisol level of ❤ µg/dL or a peak serum cortisol level of <18 µg/dL at 20 or 40 minutes after an ACTH stimulation test was defined as having AI.14 Sensitive area involvement included the axilla, groin, face and genitalia. Topical corticosteroids are classified by potency based on a skin vasoconstriction assay, and range from ultra-high potency (class I) to low potency (class VII).15 Since some patients had concurrently used more than one class of corticosteroids in one treatment period, the new variable potency·dose·time (summary of corticosteroids potency (I–VII)16 multiplied by total doses (mg) of corticosteroids use and multiplied by duration (months) of corticosteroids use) was created. Symptoms of AI included lethargy, nausea and vomiting, orthostatic hypotension and significant weight loss. Significant weight loss was defined as a loss of 5% of body weight in one month or a loss of 10% over a period of six months.17 Having Cushingoid features was defined as at least one of the excess glucocorticoid features, eg, easy bruising, facial plethora, proximal myopathy, striae, dorsocervical fat pad, facial fullness, obesity, supraclavicular fullness, hirsutism, decreased libido and menstrual abnormalities.

Statistical Analysis

All statistical analyses were performed using Stata 16 (StataCorp, College Station, Texas, USA). Categorical variables are reported as frequency and percentage, while continuous variables are reported as mean ± standard deviation or median and interquartile range (IQR), according to their distribution. For univariable comparison, Fisher’s exact probability test was used for categorical variables, and the independent t-test or the Mann–Whitney U-test was used for continuous variables. p-values less than 0.05 were considered statistically significant.

Multivariable logistic regression was used in the derivation of the prediction model for AI. Predictors with significant p-values in the univariable analysis were included in the multivariable model. We also included age and treatment duration in the model due to the clinical significance of those factors.4,18 The clinical collinearity among the predictors was also evaluated before the selection of the predictors. We generated a weighted score for each predictor by dividing the logit coefficient of the predictor by the lowest coefficient in the model. The discriminative ability of the final multivariable model was assessed using the area under the receiver operating characteristics (ROC) curve. The calibration of the scores was evaluated using the Hosmer-Lemeshow goodness-of-fit test, where a p-value >0.01 was considered a good fit. For clinical applicability, the appropriate cut-off points for the scores were identified based on sensitivity and specificity. We identified one cut-off point with high sensitivity for ruling out AI and another cut-off point with high specificity for ruling in AI. The positive predictive value for each score category with its corresponding confidence interval were presented. A sample size of at least 25 patients with at least 5 patients with AI was estimated to give 80% power at the 5% significance level.4 There was no missing data in this study.

Results

Baseline characteristics and biochemical investigations are shown in Table 1. Forty-two patients with dermatological diseases were included in this study. Of these, 17 patients (40.5%) had AI of whom 5 (29.4%) were female. The mean age of the group was 56.5 ±15.4 years, the mean duration of treatment was 10.1 ± 6 years, and the majority of patients had psoriasis (n = 14, 82.4%). There was no significant difference in sex, age, duration of treatment, potency dose-time, comorbidities, or underlying skin disease between the AI and non-AI groups. The average body surface area of corticosteroids use was significantly higher in patients with AI than in the non-AI group (27.5 ±18.7 m2 and 10.7 ±11.7 m2, p < 0.001, respectively). Basal serum cortisol levels were significantly lower in the AI group (6.52 ± 4.04 µg/dL) than in the non-AI group (10.48 ± 3.45 µg/dL, p 0.003). Although lower serum morning cortisol levels were observed in the AI group, the difference was not statistically significant (5.24 ± 4.65 µg/dL vs 13.39 ± 15.68 µg/dL, p = 0.069). Three patients were identified as having Cushingoid features. All patients with Cushingoid features had AI.

Table 1 Comparison of Clinical Characteristics Between Patients with a History of Topical Corticosteroids Use for at Least 12 Months Who Were Diagnosed with Adrenal Insufficiency and Those without Adrenal Insufficiency (n = 42)

 

Based on the multivariate logistic regression analysis (shown in Table 2), the significant predictive factors for AI in patients who used topical corticosteroids for more than 12 months were body surface area of corticosteroids use of 10–30% and >30% (POR 18.9, p =0.042, and POR 59.2, p = 0.035, respectively), age less than 60 years (POR 13.8, p = 0.04), and basal serum cortisol of <7 µg/dL (POR 131.5, p = 0.003). Only serum basal cortisol was included in the final multivariable model as there was clinical collinearity among serum morning cortisol and basal cortisol as well as 20- and 40-minute cortisol measurements.

Table 2 Multivariable Model for Prediction of Adrenal Insufficiency in Patients with a History of Topical Corticosteroids Use for at Least 12 Months (n = 38)

 

Predictive risk score was created to determine the probability of patients having AI using the aforementioned three significant predictive factors from the multivariable analysis (Table 2). As previous studies have demonstrated that duration of treatment is a strong predictive factor for AI in corticosteroid users,4,18 this factor was also incorporated in the model. The transformed score for body surface area, age and basal serum cortisol had a range of 0 to 30. For treatment duration, the transformed score was based on cumulative years of treatment. The total score was categorized into three groups: low, intermediate, and high risk (Table 3).

Table 3 Accuracy of the Score to Rule in and Rule Out Adrenal Insufficiency in Patients with a History of Topical Corticosteroids Use for at Least 12 Months (n = 38)

 

The cut-off point of ≥50 suggests high risk for developing AI with a sensitivity of 46.2% and a specificity of 100%, a score of <25 suggests a low risk with a sensitivity of 100% and a specificity of 52%, and a score between 25 and 49 indicates an intermediate risk of having AI. The ROC curve for the model assessing predictive performance which included all significant factors had an AuROC of 0.92 (Figure 1). The Hosmer-Lemeshow goodness-of-fit test revealed non-statistically significant results (p = 0.599), indicating that our newly derived scoring system fits the data well.

Figure 1 Model discrimination via receiver operating characteristic curve in patients with a history of topical corticosteroids use for at least 12 months (n = 42).

 

Discussion

The present study proposes an easy-to-use predictive model for AI following topical corticosteroids use in dermatological patients based on demographic and biochemical factors. The accuracy of the model shows an excellent diagnostic accuracy of 92% based on AuROC. Currently, the diagnosis of AI in dermatological patients with topical corticosteroids use involves multiple steps including screening for serum morning cortisol followed by dynamic ACTH stimulation testing. The proposed simple predictive model, which requires only three demographic data items (age, body surface area of corticosteroids use, duration of use) and one biochemical test (serum basal cortisol), could potentially reduce the number of dynamic ACTH stimulation tests performed, resulting in cost- and time-saving for both patients and health-care facilities.

Based on the proposed cut-off points, we suggest screening of individuals at high risk for having AI, including serum morning cortisol and the ACTH stimulation tests to confirm a diagnosis of AI. If there is evidence of AI, the patient should begin to receive treatment for AI to reduce future complications. For those in the low-risk group, only clinical follow-up should be carried out. In the intermediate-risk group, we recommend regular and close biochemical follow-up including serum morning cortisol and clinical follow-up for signs and symptoms of AI. Signs and symptoms that should raise a high index of suspicion for AI include significant weight loss, nausea and/or vomiting, orthostatic hypotension and lethargy. However, this proposed predictive model was studied in adults and cannot simply be generalized and extrapolated to children or infants.

In our study, 40.5% of the patients were determined to have AI. A previous meta-analysis by Broersen et al reported the percentage of patients with AI secondary to all potencies of topical corticosteroids based on a review of 15 studies was 4.7%, 95% CI (1.1–18.5%).19 The higher prevalence of AI in our study could be a result of differences in patients’ baseline characteristics, eg, duration of treatment, corticosteroids potency and body surface area involvement.

In the predictive model, we incorporated both clinical and biochemical factors which are easy to obtain in actual clinical practice. Some of those predictive factors have been previously reported to be linked to AI. Body surface area of corticosteroids use larger than 10% found to be significantly related to AI, especially in patients with a lesion area of over 30%. This finding is consistent with a study by Kerner et al which suggests the extent of surface area to which the corticosteroids are applied may influence absorption of the drug.20 Regarding the age of the patients, our study found that individuals over 60 years old tended to be at high risk of AI following topical corticosteroids therapy. The underlying explanation is that the stratum corneum acts as a rate-limiting barrier to percutaneous absorption as the stratum corneum in younger individuals is thinner than in older people. Diminished effectiveness of topical corticosteroid treatment in older people was demonstrated in a study by Malzfeldt et al.21 Even though serum basal cortisol is not recommended as a standard test to diagnose AI, a prior study reported that it can be considered as an alternative choice to diagnose AI when serum morning cortisol results are not available. In fact, it has been reported that there is no difference in diagnostic accuracy between serum morning cortisol and basal cortisol22 which supports our finding that serum basal cortisol <7 µg/dL is one of the significant factors related to AI.

The final model found no statistically significant relationship between the incidence of AI and the duration of corticosteroids treatment. However, we decided to include this factor in the final model since previous publications have reported that the duration of treatment is a relevant risk factor for developing AI following continuous topical corticosteroids use. The duration of AI events has been reported to vary between 2 weeks to 18 months.4,18 Additionally, a case report of AI demonstrated that 5 years of topical corticosteroids use can cause AI.6 Together, this suggests that patients with a longer duration of topical corticosteroids use are at increased risk of AI, especially those who also have other risk factors. Although both potency and dosage of topical corticosteroids have been reported to be significantly linked to HPA axis suppression, the present study found only a non-significance link. This could be the result of the small sample size as well as of other factors, eg, body surface area involvement and serum cortisol levels, which could have masked the association between potency and dosage of topical corticosteroids with HPA suppression.

To the best of our knowledge, this study is the first to use these novel predictive factors to develop a predictive model for AI in patients using topical corticosteroids. This model has multiple potential implications. First, the model uses clinical and biochemical factors which are obtainable in many institutes. Second, the model’s risk score provides good diagnostic accuracy in terms of both sensitivity and specificity. Finally, each of the predictive factors in the model has an underlying pathophysiological explanation and is not due simply to chance.

There are some limitations in this study. First, the sample size is relatively small, although it does offer sufficient statistical power for each of the predictive factors. Second, further external validation is needed to validate the predictive performance of the model. Third, the cut-off level of serum cortisol after ACTH stimulation test was based on the older generation of ECLIA assay. There was a study proposed that the cut-off for serum cortisol in the newer generation of cortisol assay should be lower (~14–15 µg/dL) than the previous one (18 µg/dL).23 However, this proposed cut-off has not yet been established in the current guideline for AI. In the future, if the newer cut-off for serum cortisol will have been employed in the standard guideline, our predictive model may lead to overdiagnosis of AI.

Conclusions

The proposed predictive model uses both demographic and biochemical factors to determine the risk of AI in dermatological patients following topical corticosteroids use with a high level of diagnostic accuracy. This model has advantages in terms of a reduction in the number of dynamic ACTH stimulation tests needed, thus saving time and resources. Additionally, it can provide guidance to clinical practitioners regarding which patients should be closely followed up for development of AI. Future external validation of this predictive model is warranted.

Acknowledgments

The authors are grateful to Lamar G. Robert, PhD and Chongchit S. Robert, PhD for editing the manuscript.

Disclosure

The authors report no conflict of interest in this work.

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19. Broersen LH, Pereira AM, Jørgensen JO, Dekkers OM. Adrenal insufficiency in corticosteroids use: systematic review and meta-analysis. J Clin Endocrinol Metab. 2015;100(6):2171–2180. doi:10.1210/jc.2015-1218

20. Kerner M, Ishay A, Ziv M, Rozenman D, Luboshitzky R. Evaluation of the pituitary-adrenal axis function in patients on topical steroid therapy. J Am Acad Dermatol. 2011;65(1):215–216. doi:10.1016/j.jaad.2010.12.033

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22. Manosroi W, Phimphilai M, Khorana J, Atthakomol P. Diagnostic performance of basal cortisol level at 0900-1300h in adrenal insufficiency. PLoS One. 2019;14(11):e0225255. doi:10.1371/journal.pone.0225255

23. Vogeser M, Kratzsch J, Ju Bae Y, et al. Multicenter performance evaluation of a second generation cortisol assay. Clin Chem Lab Med. 2017;55(6):826–835. doi:10.1515/cclm-2016-0400

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Consecutive Adrenal Cushing’s Syndrome and Cushing’s Disease in a Patient With Somatic CTNNB1, USP8, and NR3C1 Mutations

Posted on September 30, 2021 by MaryO
The occurrence of different subtypes of endogenous Cushing’s syndrome (CS) in single individuals is extremely rare. We here present the case of a female patient who was successfully cured from adrenal CS 4 years before being diagnosed with Cushing’s disease (CD).
The patient was diagnosed at the age of 50 with ACTH-independent CS and a left-sided adrenal adenoma, in January 2015. After adrenalectomy and histopathological confirmation of a cortisol-producing adrenocortical adenoma, biochemical hypercortisolism and clinical symptoms significantly improved.
However, starting from 2018, the patient again developed signs and symptoms of recurrent CS. Subsequent biochemical and radiological workup suggested the presence of ACTH-dependent CS along with a pituitary microadenoma. The patient underwent successful transsphenoidal adenomectomy, and both postoperative adrenal insufficiency and histopathological workup confirmed the diagnosis of CD. Exome sequencing excluded a causative germline mutation but showed somatic mutations of the β-catenin protein gene (CTNNB1) in the adrenal adenoma, and of both the ubiquitin specific peptidase 8 (USP8) and the glucocorticoid receptor (NR3C1) genes in the pituitary adenoma. In conclusion, our case illustrates that both ACTH-independent and ACTH-dependent CS may develop in a single individual even without evidence for a common genetic background.

Introduction

Endogenous Cushing´s syndrome (CS) is a rare disorder with an incidence of 0.2–5.0 per million people per year (1, 2). The predominant subtype (accounting for about 80%) is adrenocorticotropic hormone (ACTH)-dependent CS. The vast majority of this subtype is due to an ACTH-secreting pituitary adenoma [so called Cushing´s disease (CD)], whereas ectopic ACTH-secretion (e.g. through pulmonary carcinoids) is much less common. In contrast, ACTH-independent CS can mainly be attributed to cortisol-producing adrenal adenomas. Adrenocortical carcinomas, uni-/bilateral adrenal hyperplasia, and primary pigmented nodular adrenocortical disease (PPNAD) may account for some of these cases as well (3, 4).

Coexistence of different subtypes of endogenous CS in single individuals is even rarer but has been described in few reports. These cases were usually observed in the context of prolonged ACTH stimulation on the adrenal glands, resulting in micronodular or macronodular hyperplasia (5–9). A sequence of CD and PPNAD was also described in presence of Carney complex, a genetic syndrome characterized by the loss of function of the gene encoding for the regulatory subunit type 1α of protein kinase A (PRKAR1A) (10). Moreover, another group reported the case of a patient with Cushing’s disease followed by ectopic Cushing’s syndrome more than 30 years later (8). To our knowledge, however, we here describe the first case report on a single patient with a cortisol-producing adrenocortical adenoma and subsequent CD.

Read the rest of the article at https://www.frontiersin.org/articles/10.3389/fendo.2021.731579/full

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Primary Adrenal Insufficiency Due to Bilateral Adrenal Infarction in COVID-19

Posted on September 2, 2021 by MaryO

This article was originally published here

J Clin Endocrinol Metab. 2021 Jul 29:dgab557. doi: 10.1210/clinem/dgab557. Online ahead of print.

ABSTRACT

CONTEXT: Coronavirus disease 2019 (COVID-19) is a proinflammatory and prothrombotic condition, but its impact on adrenal function has not been adequately evaluated.

CASE REPORT: A 46-year-old woman presented with abdominal pain, hypotension, and skin hyperpigmentation after COVID-19 infection. The patient had hyponatremia, serum cortisol <1.0 µg/dL, adrenocorticotropin (ACTH) of 807 pg/mL, and aldosterone ❤ ng/dL. Computed tomography (CT) findings of adrenal enlargement with no parenchymal and minimal peripheral capsular enhancement after contrast were consistent with bilateral adrenal infarction. The patient had autoimmune hepatitis and positive antiphospholipid antibodies, but no previous thrombotic events. The patient was treated with intravenous hydrocortisone, followed by oral hydrocortisone and fludrocortisone.

DISCUSSION: We identified 9 articles, including case reports, of new-onset adrenal insufficiency and/or adrenal hemorrhage/infarction on CT in COVID-19. Adrenal insufficiency was hormonally diagnosed in 5 cases, but ACTH levels were measured in only 3 cases (high in 1 case and normal/low in other 2 cases). Bilateral adrenal nonhemorrhagic or hemorrhagic infarction was identified in 5 reports (2 had adrenal insufficiency, 2 had normal cortisol levels, and 1 case had no data). Interestingly, the only case with well-characterized new-onset acute primary adrenal insufficiency after COVID-19 had a previous diagnosis of antiphospholipid syndrome. In our case, antiphospholipid syndrome diagnosis was established only after the adrenal infarction triggered by COVID-19.

CONCLUSION: Our findings support the association between bilateral adrenal infarction and antiphospholipid syndrome triggered by COVID-19. Therefore, patients with positive antiphospholipid antibodies should be closely monitored for symptoms or signs of acute adrenal insufficiency during COVID-19.

PMID:34463766 | DOI:10.1210/clinem/dgab557

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Cushing Death Rate ‘Unacceptable,’ Triple That of General Population

Posted on April 15, 2021 by MaryO

Excess mortality among people with endogenous Cushing syndrome (CS) has declined in the past 20 years yet remains three times higher than in the general population, new research finds.

Among more than 90,000 individuals with endogenous CS, the overall proportion of mortality ― defined as the ratio of the number of deaths from CS divided by the total number of CS patients ― was 0.05, and the standardized mortality rate was an “unacceptable” three times that of the general population, Padiporn Limumpornpetch, MD, reported on March 20 at ENDO 2021: The Endocrine Society Annual Meeting.

Excess deaths were higher among those with adrenal CS compared to those with Cushing disease. The most common causes of death among those with CS were cardiovascular diseases, cerebrovascular accident, infection, and malignancy, noted Limumpornpetch, of Songkla University, Hat Yai, Thailand, who is also a PhD student at the University of Leeds, Leeds, United Kingdom.

“While mortality has improved since 2000, it is still significantly compromised compared to the background population…. The causes of death highlight the need for aggressive management of cardiovascular risk, prevention of thromboembolism, infection control, and a normalized cortisol level,” she said.

Asked to comment, Maria Fleseriu, MD, told Medscape Medical News that the new data show “we are making improvements in the care of patients with CS and thus outcomes, but we are not there yet…. This meta-analysis highlights the whole spectrum of acute and life-threatening complications in CS and their high prevalence, even before disease diagnosis and after successful surgery.”

She noted that although she wasn’t surprised by the overall results, “the improvement over time was indeed lower than I expected. However, interestingly here, the risk of mortality in adrenal Cushing was unexpectedly high despite patients with adrenal cancer being excluded.”

Fleseriu, who is director of the Pituitary Center at Oregon Health and Science University, Portland, Oregon, advised, “Management of hyperglycemia and diabetes, hypertension, hypokalemia, hyperlipidemia, and other cardiovascular risk factors is generally undertaken in accordance with standard of clinical care.

“But we should focus more on optimizing more aggressively this care in addition to the specific Cushing treatment,” she stressed.

In addition, she noted, “Medical therapy for CS may be needed even prior to surgery in severe and/or prolonged hypercortisolism to decrease complications…. We definitely need a multidisciplinary approach to address complications and etiologic treatment as well as the reduced long-term quality of life in patients with CS.”

Largest Study in Scale and Scope of Cushing Syndrome Mortality

Endogenous Cushing syndrome occurs when the body overproduces cortisol. The most common cause of the latter is a tumor of the pituitary gland (Cushing disease), but another cause is a usually benign tumor of the adrenal glands (adrenal Cushing syndrome). Surgery is the mainstay of initial treatment of Cushing syndrome. If an operation to remove the tumor fails to cause remission, medications are available.

Prior to this new meta-analysis, there had been limited data on mortality among patients with endogenous CS. Research has mostly been limited to single-cohort studies. A previous systematic review/meta-analysis comprised only seven articles with 780 patients. All the studies were conducted prior to 2012, and most were limited to Cushing disease.

“In 2021, we lacked a detailed understanding of patient outcomes and mortality because of the rarity of Cushing syndrome,” Limumpornpetch noted.

The current meta-analysis included 91 articles that reported mortality among patients with endogenous CS. There was a total of 19,181 patients from 92 study cohorts, including 49 studies on CD (n = 14,971), 24 studies on adrenal CS (n = 2304), and 19 studies that included both CS types (n = 1906).

Among 21 studies that reported standardized mortality rate (SMR) data, including 13 CD studies (n = 2160) and seven on adrenal CS (n = 1531), the overall increase in mortality compared to the background population was a significant 3.00 (range, 1.15 – 7.84).

This SMR was higher among patients with adrenal Cushing syndrome (3.3) vs Cushing disease (2.8) (P = .003) and among patients who had active disease (5.7) vs those whose disease was in remission (2.3) (P < .001).

The SMR also was worse among patients with Cushing disease with larger tumors (macroadenomas), at 7.4, than among patients with very small tumors (microadenomas), at 1.9 (P = .004).

The proportion of death was 0.05 for CS overall, with 0.04 for CD and 0.02 for adrenal adenomas.

Compared to studies published prior to the year 2000, more recent studies seem to reflect advances in treatment and care. The overall proportion of death for all CS cohorts dropped from 0.10 to 0.03 (P < .001); for all CD cohorts, it dropped from 0.14 to 0.03; and for adrenal CS cohorts, it dropped from 0.09 to 0.03 (P = .04).

Causes of death were cardiovascular diseases (29.5% of cases), cerebrovascular accident (11.5%), infection (10.5%), and malignancy (10.1%). Less common causes of death were gastrointestinal bleeding and acute pancreatitis (3.7%), active CS (3.5%), adrenal insufficiency (2.5%), suicide (2.5%), and surgery (1.6%).

Overall, in the CS groups, the proportion of deaths within 30 days of surgery dropped from 0.04 prior to 2000 to 0.01 since (P = .07). For CD, the proportion dropped from 0.02 to 0.01 (P = .25).

Preventing Perioperative Mortality: Consider Thromboprophylaxis

Fleseriu told Medscape Medical News that she believes hypercoagulability is “the least recognized complication with a big role in mortality.” Because most of the perioperative mortality is due to venous thromboembolism and infections, “thromboprophylaxis should be considered for CS patients with severe hypercortisolism and/or postoperatively, based on individual risk factors of thromboembolism and bleeding.”

Recently, Fleseriu’s group showed in a single retrospective study that the risk for arterial and venous thromboembolic events among patients with CS was approximately 20%. Many patients experienced more than one event. Risk was higher 30 to 60 days postoperatively.

The odds ratio of venous thromoboembolism among patients with CS was 18 times higher than in the normal population.

“Due to the additional thrombotic risk of surgery or any invasive procedure, anticoagulation prophylaxis should be at least considered in all patients with Cushing syndrome and balanced with individual bleeding risk,” Fleseriu advised.

A recent Pituitary Society workshop discussed the management of complications of CS at length; proceedings will be published soon, she noted.

Limumpornpetch commented, “We look forward to the day when our interdisciplinary approach to managing these challenging patients can deliver outcomes similar to the background population.”

Limumpornpetch has disclosed no relevant financial relationships. Fleseriu has been a scientific consultant to Recordati, Sparrow, and Strongbridge and has received grants (inst) from Novartis and Strongbridge.

ENDO 2021: The Endocrine Society Annual Meeting: Presented March 20, 2021

Miriam E. Tucker is a freelance journalist based in the Washington, DC, area. She is a regular contributor to Medscape. Other work of hers has appeared in the Washington Post, NPR’s Shots blog, and Diabetes Forecast magazine. She can be found on Twitter @MiriamETucker.

From https://www.medscape.com/viewarticle/949257

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