Insights into diagnostic errors in endocrinology: a prospective, case-based, international study.

BACKGROUND: Diagnostic errors in internal medicine are common. While cognitive errors have previously been identified to be the most common contributor to errors, very little is known about errors in specific fields of internal medicine such as endocrinology. This prospective, multicenter study focused on better understanding the causes of diagnostic errors made by general practitioners and internal specialists in the area of endocrinology. METHODS: From August 2019 until January 2020, 24 physicians completed five endocrine cases on an online platform that simulated the diagnostic process. After each case, the participants had to state and explain why they chose their assumed diagnosis. The data gathering process as well as the participants' explanations were quantitatively and qualitatively analyzed to determine the causes of the errors. The diagnostic processes in correctly and incorrectly solved cases were compared. RESULTS: Seven different causes of diagnostic error were identified, the most frequent being misidentification (mistaking one diagnosis with a related one or with more frequent and similar diseases) in 23% of the cases. Other causes were faulty context generation (21%) and premature closure (17%). The diagnostic confidence did not differ between correctly and incorrectly solved cases (median 8 out of 10, p = 0.24). However, in incorrectly solved cases, physicians spent less time on the technical findings (such as lab results, imaging) (median 250 s versus 199 s, p < 0.049). CONCLUSIONS: The causes for errors in endocrine case scenarios are similar to the causes in other fields of internal medicine. Spending more time on technical findings might prevent misdiagnoses in everyday clinical practice.

Types of therapeutic errors in the management of osteoporosis made by physicians and medical students.

BACKGROUND: Clinical reasoning is of high importance in clinical practice and thus in medical education research. Regarding the clinical reasoning process, the focus has primarily been on diagnostic reasoning and diagnostic errors, but little research has been done on the subsequent management reasoning process, although the therapeutic decision-making process is at least equally important. The aim of this study was to investigate the frequency of therapeutic decision errors and the cognitive factors leading to these errors in the context of osteoporosis, as it is known to be frequently associated with inadequate treatment decisions in clinical practice worldwide. METHODS: In 2019, 19 medical students and-for comparison-23 physicians worked on ten patient cases with the medical encounter of osteoporosis. A total of 254 cases were processed. The therapeutic decision errors were quantitatively measured, and the participants' cognitive contributions to therapeutic errors and their clinical consequences were qualitatively analysed. RESULTS: In 26% of the cases, all treatment decisions were correct. In the remaining 74% cases, multiple errors occurred; on average, 3 errors occurred per case. These 644 errors were further classified regarding the cognitive contributions to the error. The most common cognitive contributions that led to errors were faulty context generation and interpretation (57% of students, 57% of physicians) and faulty knowledge (38% of students, 35% of physicians). Errors made due to faulty metacognition (5% of students, 8% of physicians) were less common. Consequences of these errors were false therapy (37% of cases), undertreatment (30% of cases) or overtreatment (2.5% of cases). CONCLUSION: The study is the first to show that errors in therapy decisions can be distinguished and classified, similar to the already known classification for errors in diagnostic reasoning. Not only the correct diagnosis, but particularly the correct therapy, is critical for the outcome of a patient.

[Morbidity and mortality in Cushing's syndrome]. / Morbidität und Mortalität beim Cushing-Syndrom.

Endogenous Cushing's syndrome is a rare endocrine disorder that is fatal if left untreated. It can be distinguished into adrenocorticotropic hormone (ACTH)-dependent (central and ectopic Cushing's syndrome) and ACTH-independent subtypes (unilateral or bilateral adrenal adenomas). The clinical presentation of patients includes typical stigmata of cortisol excess with physical symptoms of catabolic metabolism (myopathy, striae, parchment skin, osteoporosis) and components of metabolic syndrome (diabetes mellitus, obesity, arterial hypertension, hypercholesterolemia). Biochemical diagnosis is performed in three steps: 1. Confirmation of the diagnosis by 1­mg dexamethasone suppression test, 24­h urine free cortisol, and measurement of late-night salivary cortisol. 2. Differentiation of ACTH-dependent Cushing's syndrome from ACTH-independent adrenal Cushing's syndrome by measurement of plasma ACTH. 3. Further subtyping by corticotropin-releasing hormone (CRH) test, inferior petrosal sinus sampling, and imaging modalities. Therapeutic decisions are made on an interdisciplinary basis. First-line therapy for all subtypes is surgery when possible; additional options for all forms include drug therapy and bilateral adrenalectomy. Despite adequate treatment, Cushing's syndrome is associated with increased long-term morbidity and mortality. Interdisciplinary and multimodal therapy management is necessary in the long term to positively influence mortality and reduced quality of life.

Natural frequency trees improve diagnostic efficiency in Bayesian reasoning.

When physicians are asked to determine the positive predictive value from the a priori probability of a disease and the sensitivity and false positive rate of a medical test (Bayesian reasoning), it often comes to misjudgments with serious consequences. In daily clinical practice, however, it is not only important that doctors receive a tool with which they can correctly judge-the speed of these judgments is also a crucial factor. In this study, we analyzed accuracy and efficiency in medical Bayesian inferences. In an empirical study we varied information format (probabilities vs. natural frequencies) and visualization (text only vs. tree only) for four contexts. 111 medical students participated in this study by working on four Bayesian tasks with common medical problems. The correctness of their answers was coded and the time spent on task was recorded. The median time for a correct Bayesian inference is fastest in the version with a frequency tree (2:55 min) compared to the version with a probability tree (5:47 min) or to the text only versions based on natural frequencies (4:13 min) or probabilities (9:59 min).The score diagnostic efficiency (calculated by: median time divided by percentage of correct inferences) is best in the version with a frequency tree (4:53 min). Frequency trees allow more accurate and faster judgments. Improving correctness and efficiency in Bayesian tasks might help to decrease overdiagnosis in daily clinical practice, which on the one hand cause cost and on the other hand might endanger patients' safety.

The Impact of Glucocorticoid Co-Secretion in Primary Aldosteronism on Thyroid Autoantibody Titers During the Course of Disease.

Excess aldosterone is associated with the increased risk of cardio-/cerebrovascular events as well as metabolic comorbidities not only due to its hypertensive effect but also due to its proinflammatory action. Autonomous cortisol secretion (ACS) in the setting of primary aldosteronism (PA) is known to worsen cardiovascular outcome and potentially exhibit immunosuppressive effects. The aim of this study was to determine the impact of ACS status in patients with PA on kinetics of thyroid autoantibodies (anti-TPO, anti-TG) pre and post therapy initiation. Ninety-seven PA patients (43 unilateral, 54 with bilateral PA) from the database of the German Conn's Registry were included. Anti-TPO and anti-TG levels were measured pre and 6-12 months post therapeutic intervention. Patients were assessed for ACS according to their 24- hour urinary cortisol excretion, late night salivary cortisol and low-dose dexamethasone suppression test. Abnormal test results in line with ACS were identified in 74.2% of patients with PA. Following adrenalectomy, significant increases in anti-TPO levels were observed in patients with at least one abnormal test (p = 0.049), adrenalectomized patients with at least two pathological ACS tests (p = 0.015) and adrenalectomized patients with pathologic dexamethasone suppression tests (p = 0.018). No antibody increases were observed in unilateral PA patients without ACS and in patients with bilateral PA receiving mineralocorticoid antagonist therapy (MRA). Our data are in line with an immunosuppressive effect of mild glucocorticoid excess in PA on thyroid autoantibody titers. This effect is uncovered by adrenalectomy, but not by MRA treatment.

Representation scaffolds improve diagnostic efficiency in medical students.

CONTEXT: Diagnostic efficiency is important in daily clinical practice as doctors have to face problems within a limited time frame. To foster the clinical reasoning of students is a major challenge in medical education research. Little is known about students' diagnostic efficiency. On the basis of current theories, scaffolds for case representation (statement of the case as far as it is summarised in the mind) could be a promising approach to make the diagnostic reasoning of intermediate medical students more efficient. METHODS: Clinical case processing of 88 medical students in their fourth and fifth years was analysed in a randomised, controlled laboratory study. Cases dealing with dyspnoea were provided in an electronic learning environment (CASUS). Students could freely choose the time, amount and sequence of clinical information. During the learning phase the intervention group was asked to write down case representation summaries while working on the cases. In the assessment phase diagnostic efficiency was operationalised as the number of correct diagnoses divided by the time spent on diagnosing. RESULTS: Diagnostic efficiency was significantly improved by the representation scaffolding (M = 0.12 [SD = 0.07], M = 0.09 [SD = 0.06] correct cases/time, p = 0.045), whereas accuracy remained unchanged (M = 2.28 [SD = 1.10], M = 2.09 [SD = 1.08], p = 0.52). Both groups screened the same amount of clinical information, but the scaffolding group did this faster (M = 20.8 minutes [SD = 7.15], M = 24.6 minutes [SD = 7.42], p = 0.01; Cohen's d = 0.5). CONCLUSION: Diagnostic efficiency is an important outcome variable in clinical reasoning research as it corresponds to workplace challenges. Scaffolding for case representations significantly improved the diagnostic efficiency of fourth and fifth-year medical students, most likely because of a more targeted screening of the available information.

Diagnostic errors by medical students: results of a prospective qualitative study.

BACKGROUND: Diagnostic errors occur frequently in daily clinical practice and put patients' safety at risk. There is an urgent need to improve education on clinical reasoning to reduce diagnostic errors. However, little is known about diagnostic errors of medical students. In this study, the nature of the causes of diagnostic errors made by medical students was analyzed. METHODS: In June 2016, 88 medical students worked on eight cases with the chief complaint dyspnea in a laboratory setting using an electronic learning platform, in summary 704 processed cases. The diagnostic steps of the students were tracked and analyzed. Furthermore, after each case the participants stated their presumed diagnosis and explained why they came to their diagnostic conclusion. The content of these explanations was analyzed qualitatively. RESULTS: Based on the diagnostic data gathering process and the students' explanations, eight different causes could be identified of which the lack of diagnostic skills (24%) and inadequate knowledge base (16%) were the most common. Other causes that often contributed to a diagnostic error were faulty context generation (15%) and premature closure (10%). The causes of misdiagnosis varied per case. CONCLUSIONS: Inadequate skills/knowledge and faulty context generation are the major problems in students' clinical reasoning process. These findings are valuable for improving medical education and thus reducing the frequency of diagnostic errors in students' later everyday clinical practice.

The landscape of androgens in Cushing's syndrome.

Hyperandrogenemia in patients with Cushing's syndrome (CS) presents a diagnostic pitfall due to its rare occurrence and overlapping symptoms with more common conditions like polycystic ovary syndrome (PCOS). This review explores the significance of androgen dysregulation in CS, focusing on both classical and 11-oxygenated androgens. While classical androgens contribute to hyperandrogenism in CS, their levels alone do not fully account for clinical symptoms. Recent research highlights the overlooked role of 11oxC19 androgens, particularly 11OHA4 and 11KT, in driving hyperandrogenic manifestations across all CS subtypes. These adrenal-specific and highly potent androgens offer stable expression throughout a woman's lifespan, serving as valuable diagnostic biomarkers. Understanding their prominence not only aids in subtype differentiation but also provides insights into the complex nature of androgen dysregulation in CS. Recognizing the diagnostic potential of 11oxC19 androgens promises to refine diagnostic approaches and improve clinical management strategies for patients with CS.

Sleep disturbances in primary aldosteronism are associated to depressive symptoms - Could specific mineralocorticoidreceptors be a common pathway?

Symptoms of depression and anxiety are frequent in patients with primary aldosteronism (PA) and are supposed to be independent risk factors for cardiovascular diseases (CVD). As patients with PA have an increased cardiovascular risk compared to patients with essential hypertension, sleep disturbances, which often accompany depressive and anxiety symptoms, may be an additional contributor to the cardiometabolic consequences of PA. To clarify this possible link we investigated 132 patients with PA at baseline and after one year after initiation of treatment either by adrenalectomy (ADX) or mineralocorticoid-receptor-antagonist (MRA). Sleep disturbances and daytime sleepiness were assessed with Pittsburg sleep Inventory (PSQI) and Epworth sleepiness scale (ESS). Patients with PA showed pathological scores for sleep disturbances at baseline according to PSQI, with females being more affected (8.1 vs. 5.7 p < 0.001), which was significantly improved after initiation of specific treatment (p = 0.002). For ESS we found scores within the normal range, but higher than the general population, which significantly improved at follow-up (p < 0.001). The intensity of sleep disturbances was highly correlated with scores of anxiety and depression at baseline and follow-up. However, clinical and biochemical markers of PA (e.g. aldosterone, blood pressure) and metabolic markers did not show a consistent association with sleep changes. The degree of improvement in PSQI was significantly associated with the improvement of brief patients health questionnaire (PHQD) (p = 0.0151). Sleep disturbances seem not to be an independent risk factor for cardiovascular and metabolic problems in PA. They are strongly associated to depressive symptoms and maybe mediated by the same mineralocorticoid receptor circuits.

Biochemical Control in Cushing's syndrome: Outcomes of the treatment in a large single center cohort.

BACKGROUND: Normalization of hypercortisolism is essential to reduce morbidity and mortality in patients with Cushing's syndrome (CS). The aim of this analysis was to assess biochemical control rates in patients with Cushing's disease (CD), ectopic Cushing's syndrome (ECS) and adrenal Cushing's syndrome (ACS). METHODS: Patients with confirmed CS (n= 296) treated in a single tertiary care center were retrospectively analysed (185 CD, 27 ECS, 84 uni- and bilateral ACS). RESULTS: Firstline treatment led to biochemical control in 82% of the patients. Time to biochemical control (median, IQR) was longer in CD (11.0 weeks, 5.6-29.8; p< 0.05) than in ACS (7.7 weeks, 4.1-17.1) and ECS (5.6 weeks, 4.1-23.3). Disease persistence or recurrence after first-line therapy was observed more often in CD (24% and 18%; p< 0.05) than in ECS (15% and 15%) and ACS (6% and 4%). Total time in hypercortisolism since diagnosis was significantly shorter in patients with CD diagnosed since 2013, after specialized patient care was implemented, compared to patients diagnosed before 2013 (13.5 weeks, vs. 26.1 weeks; p< 0.0070). Control of hypercortisolism at last follow up (76 months, 38-163) was achieved in 94% of patients with ACS, 100% of patients with ECS and 92% of patients with CD. CONCLUSIONS: Biochemical control can be achieved in most patients with different subtypes of CS within a reasonable time frame. Control of hypercortisolism has improved over time.

Delineating endogenous Cushing's syndrome by GC-MS urinary steroid metabotyping.

BACKGROUND: Diagnosing Cushing's syndrome (CS) is highly complex. As the diagnostic potential of urinary steroid metabolome analysis by gas chromatography-mass spectrometry (GC-MS) in combination with systems biology has not yet been fully exploited, we studied a large cohort of patients with CS. METHODS: We quantified daily urinary excretion rates of 36 steroid hormone metabolites. Applying cluster analysis, we investigated a control group and 168 patients: 44 with Cushing's disease (CD) (70% female), 18 with unilateral cortisol-producing adrenal adenoma (83% female), 13 with primary bilateral macronodular adrenal hyperplasia (PBMAH) (77% female), and 93 ruled-out CS (73% female). FINDINGS: Cluster-Analysis delineated five urinary steroid metabotypes in CS. Metabotypes 1, 2 and 3 revealing average levels of cortisol and adrenal androgen metabolites included patients with exclusion of CS or and healthy controls. Metabotype 4 reflecting moderately elevated cortisol metabolites but decreased DHEA metabolites characterized the patients with unilateral adrenal CS and PBMAH. Metabotype 5 showing strong increases both in cortisol and DHEA metabolites, as well as overloaded enzymes of cortisol inactivation, was characteristic of CD patients. 11-oxygenated androgens were elevated in all patients with CS. The biomarkers THS, F, THF/THE, and (An + Et)/(11ß-OH-An + 11ß-OH-Et) correctly classified 97% of patients with CS and 95% of those without CS. An inverse relationship between 11-deoxygenated and 11-oxygenated androgens was typical for the ACTH independent (adrenal) forms of CS with an accuracy of 95%. INTERPRETATION: GC-MS based urinary steroid metabotyping allows excellent identification of patients with endogenous CS and differentiation of its subtypes. FUNDING: The study was funded by the Else Kröner-Fresenius-Stiftung and the Eva-Luise-und-Horst-Köhler-Stiftung.

Bayesian versus diagnostic information in physician-patient communication: Effects of direction of statistical information and presentation of visualization.

BACKGROUND: Communicating well with patients is a competence central to everyday clinical practice, and communicating statistical information, especially in Bayesian reasoning tasks, can be challenging. In Bayesian reasoning tasks, information can be communicated in two different ways (which we call directions of information): The direction of Bayesian information (e.g., proportion of people tested positive among those with the disease) and the direction of diagnostic information (e.g., the proportion of people having the disease among those tested positive). The purpose of this study was to analyze the impact of both the direction of the information presented and whether a visualization (frequency net) is presented with it on patient's ability to quantify a positive predictive value. MATERIAL AND METHODS: 109 participants completed four different medical cases (2⨯2⨯4 design) that were presented in a video; a physician communicated frequencies using different directions of information (Bayesian information vs. diagnostic information). In half of the cases for each direction, participants were given a frequency net. After watching the video, participants stated a positive predictive value. Accuracy and speed of response were analyzed. RESULTS: Communicating with Bayesian information led to participant performance of only 10% (without frequency net) and 37% (with frequency net) accuracy. The tasks communicated with diagnostic information but without a frequency net were correctly solved by 72% of participants, but accuracy rate decreased to 61% when participants were given a frequency net. Participants with correct responses in the Bayesian information version without visualization took longest to complete the tasks (median of 106 seconds; median of 13.5, 14.0, and 14.5 seconds in other versions). DISCUSSION: Communicating with diagnostic information rather than Bayesian information helps patients to understand specific information better and more quickly. Patients' understanding of the relevance of test results is strongly dependent on the way the information is presented.

Diagnostic challenges in cyclic Cushing's syndrome: a systematic review.

Cyclic Cushing's syndrome is a subentity of Cushing's syndrome in which phases of biochemical hypercortisolism (peaks) are followed by spontaneous periods of physiological or even hypocortisolaemic cortisol secretion (troughs). To identify common features of cyclic Cushing's syndrome, we systematically reviewed single case reports and case series in MEDLINE from database inception to Oct 10, 2022, and identified 707 articles, of which 149 articles were assessed for eligibility and 118 articles (covering 212 cases) were included in the analysis. Pituitary tumours accounted for 67% of cases of cyclic Cushing's syndrome (n=143), ectopic tumours for 17% (n=36), and adrenal tumours for 11% (n=23). Occult tumours accounted for 2% of cases (n=4), and 3% of cases were unclassified (n=6). We compared the clinical symptoms and comorbidities of patients with cyclic Cushing's syndrome with those of patients with non-cyclic Cushing's syndrome and observed no major difference. In adrenocorticotropic hormone (ACTH)-dependent cyclic Cushing's syndrome, bilateral inferior petrosal sinus sampling had a positive (ie, true pituitary) and negative (ie, true ectopic) predictive value of 100% when performed during periods of hypercortisolism, versus a positive predictive value of 73% and a negative predictive value of 86% when performed, irrespective of cortisolaemic status. Overall, 6% of patients (n=12) with cyclic Cushing's syndrome had unnecessary surgery due to misclassification. Remission rates were significantly lower and the time to remission significantly longer in patients with cyclic Cushing's syndrome compared with patients with non-cyclic Cushing's syndrome (p<0·001). Variations in biochemical test results due to unpredictable cycle duration and frequency might cause diagnostic challenges resulting in misdiagnoses and missed diagnoses.

Low-grade inflammation during the glucocorticoid withdrawal phase in patients with Cushing's syndrome.

IMPORTANCE: Endogenous Cushing's syndrome (CS) leads to profound immunosuppression. Successful surgery induces biochemical remission and reversal of immunosuppression, which is characterized by clinical signs of glucocorticoid withdrawal and associated with increased susceptibility to infections and thromboembolic complications. OBJECTIVE: We hypothesized that the glucocorticoid withdrawal phase is characterized by low-grade inflammation that may be related to patient-relevant outcomes. SETTING: In this retrospective observational study, we analyzed longitudinal data from 80 patients with CS prospectively enrolled in the German Cushing's registry between 2012 and 2021. All enrolled patients underwent successful surgery. In a second step, a case-control study was performed in 25 of the patients with age-, gender-, and body mass index-matched control patients in whom hypercortisolism was excluded. Analyses included the inflammatory markers C-reactive protein and interleukin-6, as well as body composition, muscle function testing, and quality-of-life questionnaires. The patients were studied during active CS and in the postoperative remission phase 1, 3, 6, 12, and 24 months after surgery. RESULTS: Compared with the preoperative phase and matched controls, patients with CS had increased systemic inflammatory markers in the early remission phase. One month following surgery, median (interquartile range) C-reactive protein was 0.48 mg dL-1 (0.14-0.90) vs 0.10 mg dL-1 (0.06-0.39) during active CS (P ≤ .001). Similarly, interleukin-6 1 month after surgery was 7.2 pg mL-1 (3.3-11.7) vs 1.7 pg mL-1 (1.5-2.5) during active CS (P ≤ .001). Obesity and hemoglobin A1c (HbA1c) were associated with increased inflammation levels. This proinflammatory state lasted until 1 year following surgery. Moreover, inflammatory markers during early remission showed an inverse correlation with long-term muscle function. CONCLUSIONS: The glucocorticoid withdrawal phase is associated with a low-grade inflammatory state, which is particularly pronounced in obese and hyperglycemic patients and related to lower muscle function.

Lack of sensitivity of diagnostic Cushing-scores in Germany: a multicenter validation.

OBJECTIVE: Endogenous Cushing's syndrome (CS) is a severe condition, often diagnosed at a late stage. To reduce mortality, early diagnosis plays an important role. Two screening tools for early identification of patients with CS have been developed in multicentric cohorts, but have not yet been validated in cohorts with different geographic backgrounds. DESIGN: We validated the Spanish score published by Leon-Justel et al. in 2016 and the Italian score by Parasiliti-Caprino et al. published in 2021 in our cohort. METHODS: In the multicentric German Cushing registry, patients with confirmed and expected but ruled out Cushing's syndrome are prospectively diagnosed and followed up. We validated both scores in a cohort of 458 subjects: 176 patients with confirmed CS and 282 patients with suspected, but finally excluded CS. RESULTS: Using the Spanish score, 17.5% of our patients with proven CS biochemical screening would not have been recommended. This concerned patients with pituitary CS (22%) and with adrenal CS (10%). On the contrary, only 14% of patients without CS would have received a recommendation for biochemical screening. Using the Italian score, 29% of patients with proven CS were classified into the low-risk classes not recommended for biochemical screening. This mostly affected patients with adrenal (31%) and pituitary CS (30%). About 12% of subjects without CS would have received a biochemical screening recommendation. CONCLUSIONS: Both scores had limited sensitivity and high specificity in a German validation cohort. Further research is necessary to develop a screening score, which is effective in different healthcare systems and ethnicities.

Major immunophenotypic abnormalities in patients with primary adrenal insufficiency of different etiology.

Introduction: Patients with primary adrenal insufficiency (PAI) suffer from increased risk of infection, adrenal crises and have a higher mortality rate. Such dismal outcomes have been inferred to immune cell dysregulation because of unphysiological cortisol replacement. As the immune landscape of patients with different types of PAI has not been systematically explored, we set out to immunophenotype PAI patients with different causes of glucocorticoid (GC) deficiency. Methods: This cross-sectional single center study includes 28 patients with congenital adrenal hyperplasia (CAH), 27 after bilateral adrenalectomy due to Cushing's syndrome (BADx), 21 with Addison's disease (AD) and 52 healthy controls. All patients with PAI were on a stable GC replacement regimen with a median dose of 25 mg hydrocortisone per day. Peripheral blood mononuclear cells were isolated from heparinized blood samples. Immune cell subsets were analyzed using multicolor flow cytometry after four-hour stimulation with phorbol myristate acetate and ionomycin. Natural killer (NK-) cell cytotoxicity and clock gene expression were investigated. Results: The percentage of T helper cell subsets was downregulated in AD patients (Th1 p = 0.0024, Th2 p = 0.0157, Th17 p < 0.0001) compared to controls. Cytotoxic T cell subsets were reduced in AD (Tc1 p = 0.0075, Tc2 p = 0.0154) and CAH patients (Tc1 p = 0.0055, Tc2 p = 0.0012) compared to controls. NKCC was reduced in all subsets of PAI patients, with smallest changes in CAH. Degranulation marker CD107a expression was upregulated in BADx and AD, not in CAH patients compared to controls (BADx p < 0.0001; AD p = 0.0002). In contrast to NK cell activating receptors, NK cell inhibiting receptor CD94 was upregulated in BADx and AD, but not in CAH patients (p < 0.0001). Although modulation in clock gene expression could be confirmed in our patient subgroups, major interindividual-intergroup dissimilarities were not detected. Discussion: In patients with different etiologies of PAI, distinct differences in T and NK cell-phenotypes became apparent despite the use of same GC preparation and dose. Our results highlight unsuspected differences in immune cell composition and function in PAI patients of different causes and suggest disease-specific alterations that might necessitate disease-specific treatment.

Glucocorticoid receptor polymorphism BclI with increased glucocorticoid sensitivity has a positive influence on quality of life in endogenous Cushing's syndrome in remission.

CONTEXT: Patients with endogenous Cushing's syndrome (CS) may suffer from a wide range of neuropsychiatric symptoms leading to impaired quality of life (QoL). OBJECTIVE: Glucocorticoid receptor (GR) polymorphisms are associated with increased (BclI and N363S) or decreased (A3669G and ER22/23EK) GR sensitivity. HYPOTHESIS: GR genotypes may modulate and affect QoL and recovery after remission differently via GR sensitivity. METHODS: 295 patients with endogenous CS (81 active, 214 in remission) from 3 centers of the German Cushing's Registry were included for the cross-sectional analysis. All subjects were assessed with three questionnaires (CushingQoL, Tuebingen CD-25, SF-36). For the longitudinal part, 120 patients of them were analyzed at baseline and after 1.5 ± 0.9 yrs of follow-up. DNA samples were obtained from peripheral blood leukocytes for GR genotyping. RESULTS: Patients in remission scored significantly better than patients with active CS in the CushingQoL questionnaire and in the SF-36 sub-categories physical and social functioning, role-physical, bodily pain, and vitality. In cross-sectional analysis, no differences in QoL between minor allele and wildtype carriers were detected for all polymorphisms in active or cured CS. In longitudinal analysis, however, carriers with BclI minor allele showed significant improvement in SF-36 sub-categories vitality (P = .038) and mental health (P = .013) compared to wildtype carriers (active CS at baseline vs. CS in remission at follow-up). The outcome of the two questionnaires CushingQoL and Tuebingen CD-25 improved significantly in both wildtype and minor allele carriers. CONCLUSION: BclI minor allele carriers initially had the lowest QoL but recovered better from impaired QoL than wildtype carriers.

Long-term morbidity and mortality in patients with Cushing's syndrome.

Increased multisystem morbidity and mortality in patients with Cushing's syndrome comprise clinical problems and challenges, both at the time of diagnosis and in remission. Relevant comorbidities and clinical problems include hypertension, diabetes, overweight, myopathy and a high risk for acute complications such as infections and venous thrombembolism. Although there are therapy recommendations for most of these comorbidities, there is a lack of large, prospective studies to confirm and optimise them. Mortality is especially high during active disease and within the first year after diagnosis, as a result of cardiovascular events, infections and suicide. All in all, interdisciplinary therapy management is important for reducing morbidity and mortality over the long-term.

Improving Diagnostic Efficiency with Frequency Double-Trees and Frequency Nets in Bayesian Reasoning.

Background. Medical students often have problems with Bayesian reasoning situations. Representing statistical information as natural frequencies (instead of probabilities) and visualizing them (e.g., with double-trees or net diagrams) leads to higher accuracy in solving these tasks. However, double-trees and net diagrams (which already contain the correct solution of the task, so that the solution could be read of the diagrams) have not yet been studied in medical education. This study examined the influence of information format (probabilities v. frequencies) and visualization (double-tree v. net diagram) on the accuracy and speed of Bayesian judgments. Methods. A total of 142 medical students at different university medical schools (Munich, Kiel, Goettingen, Erlangen, Nuremberg, Berlin, Regensburg) in Germany predicted posterior probabilities in 4 different medical Bayesian reasoning tasks, resulting in a 3-factorial 2 × 2 × 4 design. The diagnostic efficiency for the different versions was represented as the median time divided by the percentage of correct inferences. Results. Frequency visualizations led to a significantly higher accuracy and faster judgments than did probability visualizations. Participants solved 80% of the tasks correctly in the frequency double-tree and the frequency net diagram. Visualizations with probabilities also led to relatively high performance rates: 73% in the probability double-tree and 70% in the probability net diagram. The median time for a correct inference was fastest with the frequency double tree (2:08 min) followed by the frequency net diagram and the probability double-tree (both 2:26 min) and probability net diagram (2:33 min). The type of visualization did not result in a significant difference. Discussion. Frequency double-trees and frequency net diagrams help answer Bayesian tasks more accurately and also more quickly than the respective probability visualizations. Surprisingly, the effect of information format (probabilities v. frequencies) on performance was higher in previous studies: medical students seem also quite capable of identifying the correct solution to the Bayesian task, among other probabilities in the probability visualizations. Highlights: Frequency double-trees and frequency nets help answer Bayesian tasks not only more accurately but also more quickly than the respective probability visualizations.In double-trees and net diagrams, the effect of the information format (probabilities v. natural frequencies) on performance is remarkably lower in this high-performing sample than that shown in previous studies.