Objectives: Several studies reported decreased quality of life (QoL) and sleep as well as increased rates of depression for patients with pituitary adenomas. Our aim was to explore to what extent differences in depression and sleep quality contribute to differences in QoL between patients with pituitary adenomas and controls. Design: A cross-sectional case-control study. Setting: Endocrine Outpatient Unit of the Max Planck Institute of Psychiatry, Munich, Department of Internal Medicine, Ludwig-Maximilians-University, Munich, and the Institute of Clinical Psychology and Psychotherapy, Technical University, Dresden. Participants: Patients with pituitary adenomas (nZ247) and controls (from the DETECT cohort, a large epidemiological study in primary care patients) matched individually by age and gender (nZ757). Measurements: Sleep quality was assessed with the Pittsburgh Sleep Quality Index (PSQI) and QoL was measured by the generic EQ-5D and calculated by the time trade-off-and VAS-method. Depression was categorized as 'no depression', 'subclinical depression', and 'clinical depression' according to the Beck Depressions Inventory for patients and the Depression Screening Questionnaire for control subjects. Statistical analyses: General linear and generalized, logistic mixed models as well as proportional odds mixed models were calculated for analyzing differences in baseline characteristics and in different subgroups. Results: Patients with pituitary adenomas showed decreased QoL (VAS index: 0.73G0.19) and sleep (PSQI score: 6.75G4.17) as well as increased rates of depression (subclinical or clinical depression: 41.4%) compared with their matched control subjects (VAS index: 0.79G0.18, PSQI score: 5.66G4.31, subclinical or clinical depression: 25.9%). We have shown that a substantial proportion of the reduced QoL (48% respectively 65%) was due to the incidence of depression and reduced sleep quality. Conclusions: These findings emphasize the importance of diagnosing depressive symptoms and sleep disturbances in patients with pituitary disease, with the ultimate goal to improve QoL in patients with pituitary adenomas.
Objective: Clinical presentation of pituitary adenomas frequently involves pain, particularly headache, due to structural and functional properties of the tumour. Our aim was to investigate the clinical characteristics of pain in a large cohort of patients with pituitary disease. Design: In a cross-sectional study, we assessed 278 patients with pituitary disease (nZ81 acromegaly; nZ45 Cushing's disease; nZ92 prolactinoma; nZ60 non-functioning pituitary adenoma). Methods: Pain was studied using validated questionnaires to screen for nociceptive vs neuropathic pain components (painDETECT), determine pain severity, quality, duration and location (German pain questionnaire) and to assess the impact of pain on disability (migraine disability assessment, MIDAS) and quality of life (QoL). Results: We recorded a high prevalence of bodily pain (nZ180, 65%) and headache (nZ178, 64%); adrenocorticotropic adenomas were most frequently associated with pain (nZ34, 76%). Headache was equally frequent in patients with macroand microadenomas (68 vs 60%; PZ0.266). According to painDETECT, the majority of the patients had a nociceptive pain component (nZ193, 80%). Despite high prevalence of headache, 72% reported little or no headache-related disability (MIDAS). Modifiable factors including tumour size, genetic predisposition, previous surgery, irradiation or medical therapy did not have significant impact neither on neuropathic pain components (painDETECT) nor on headache-related disability (MIDAS). Neuropathic pain and pain-related disability correlated significantly with depression and impaired QoL.Conclusions: Pain appears to be a frequent problem in pituitary disease. The data suggest that pain should be integrated in the diagnostic and therapeutic work-up of patients with pituitary disease in order to treat them appropriately and improve their QoL.
Introduction: Psoriasis is a systemic inflammatory disease characterised by pruritic skin lesions that impair quality of life (QOL). Long-Term Documentation of the Utilization of Apremilast in Patients with Plaque Psoriasis under Routine Conditions (LAPIS-PSO; Clini-calTrials.gov: NCT02626793) was a 52-week, prospective, multicentre, observational cohort study conducted in real-world dermatology clinical settings in Germany. We evaluated physician-and patient-reported outcomes for QOL, effectiveness and tolerability in patients with moderate to severe psoriasis vulgaris in LAPIS-PSO. Methods: The primary endpoint was the percentage of patients achieving Dermatology Life Quality Index (DLQI) score B 5 or C 5-point improvement from baseline in DLQI score at visit 2 (* 4 months after baseline). Secondary endpoints included assessments of symptoms and disease severity. Tolerability was evaluated based on adverse events (AEs). A pre-defined subgroup analysis based on baseline Physician's Global Assessment (PGA) score (2 or 3 versus 4) was performed. Data were examined descriptively through visit 5 (* 13 months) using the lastobservation-carried-forward (LOCF) approach and data as observed.
Introduction: Patients with craniopharyngioma (CP) have disturbances of the hypothalamic-pituitary axis and serious comorbidities such as obesity. We hypothesized that the secretion of hormones regulating the nutritional status is altered in adult patients with CP compared with patients with non-functioning pituitary adenoma (NFPA). Methods: We included 40 CP (50% males, mean age: 49.6G14.3 years) and 40 NFPA (72.5% males, mean age: 63.4G9.8 years) patients. We measured glucose, insulin, leptin, total ghrelin, peptide-YY (PYY) and cholecystokinin (CCK) during oral glucose tolerance test (OGTT). Fat mass (FM) was determined by dual X-ray absorptiometry. Results: Gender distribution was not significantly different, but CP patients were significantly younger (P!0.001). CP patients had significantly higher BMI and FM than NFPA patients (BMI 32G8 vs 28G4 kg/m 2 , PZ0.009 and FM 37G9 vs 33G9%,
Obesity in patients with CP might be influenced by eating disorders, negative mood alterations and increased anxiety-related personality traits.
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