23 research outputs found

    The accuracy of the MMSE in detecting cognitive impairment when administered by general practitioners: A prospective observational study

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    <p>Abstract</p> <p>Background</p> <p>The Mini-Mental State Examination (MMSE) has contributed to detecting cognitive impairment, yet few studies have evaluated its accuracy when used by general practitioners (GP) in an actual public-health setting.</p> <p>Objectives</p> <p>We evaluated the accuracy of MMSE scores obtained by GPs by comparing them to scores obtained by Alzheimer's Evaluation Units (UVA).</p> <p>Methods</p> <p>The study was observational in design and involved 59 voluntary GPs who, after having undergone training, administered the MMSE to patients with symptoms of cognitive disturbances. Individuals who scored ≤ 24 (adjusted by age and educational level) were referred to Alzheimer's Evaluation Units (UVA) for diagnosis (including the MMSE). UVAs were unblinded to the MMSE score of the GP. To measure interrater agreement, the weighted Kappa statistic was calculated. To evaluate factors associated with the magnitude of the difference between paired scores, a linear regression model was applied. To quantify the accuracy in discriminating no cognitive impairment from any cognitive impairment and from Alzheimer's disease (AD), the ROC curves (AUC) were calculated.</p> <p>Results</p> <p>For the 317 patients, the mean score obtained by GPs was significantly lower (15.8 vs. 17.4 for the UVAs; p < 0.01). However, overall concordance was good (Kappa = 0.86). Only the diagnosis made by the UVA was associated with the difference between paired scores: the adjusted mean difference was 3.1 for no cognitive impairment and 3.8 for mild cognitive impairment. The AUC of the scores for GPs was 0.80 (95%CI: 0.75–0.86) for discriminating between no impairment and any impairment and 0.89 (95%CI: 0.84–0.94) for distinguishing patients with AD, though the UVA scores discriminated better.</p> <p>Conclusion</p> <p>In a public-health setting involving patients with symptoms of cognitive disturbances, the MMSE used by the GPs was sufficiently accurate to detect patients with cognitive impairment, particularly those with dementia.</p

    Clinical, quality of life, and economic value of acromegaly disease control

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    Although acromegaly is a rare disease, the clinical, economic and health-related quality of life (HRQoL) burden is considerable due to the broad spectrum of comorbidities as well as the need for lifelong management. We performed a comprehensive literature review of the past 12 years (1998–2010) to determine the benefit of disease control (defined as a growth hormone [GH] concentration <2.5 μg/l and insulin-like growth factor [IGF]-1 normal for age) on clinical, HRQoL, and economic outcomes. Increased GH and IGF-1 levels and low frequency of somatostatin analogue use directly predicted increased mortality risk. Clinical outcome measures that may improve with disease control include joint articular cartilage thickness, vertebral fractures, left ventricular function, exercise capacity and endurance, lipid profile, and obstructive apnea events. Some evidence suggests an association between controlled disease and improved HRQoL. Total direct treatment costs were higher for patients with uncontrolled compared to controlled disease. Costs incurred for management of comorbidities, and indirect cost could further add to treatment costs. Optimizing disease control in patients with acromegaly appears to improve outcomes. Future studies need to evaluate clinical outcomes, as well as HRQoL and comprehensive economic outcomes achieved with controlled disease

    Proposal of the TBN Classification of Thoracic Anomalies and Treatment Algorithm for Poland Syndrome.

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    BACKGROUND: Poland syndrome is a congenital deformity characterized by unilateral anomalies of pectoralis muscles, breast, nipple, axillary fold, subcutaneous tissue, ribs, and upper limb. The thoracic anomaly, which is the pathognomonic malformation of Poland syndrome, presents a wide phenotype variability and has been classified by different authors. However, these classifications do not include all the possible phenotypes of Poland syndrome. The aim of this study is to propose a simple classification of the whole spectrum of thoracic anomalies and a treatment algorithm that could have a practical value for determining the surgical approach. METHODS: Since 2008, 100 patients have been evaluated by the same plastic surgical team at San Martino Hospital-IST and Istituto Gaslini of Genoa, Italy, using the thorax, breast, nipple-areola complex (TBN) classification. Thoracic anomalies were classified as follows: thorax (T), from T1 (muscle defect only) to T4 (complex deformity with rib and sternal involvement); breast (B), in B1 (hypoplasia) or B2 (amastia); and nipple-areola complex (N), from N1 (dislocation <2 cm) to N3 (athelia). RESULTS: The most frequent thoracic anomalies were T1 (47 percent) and N2 (74 percent), whereas in female patients, B1 was more frequent than B2. The surgical approach to breast and pectoral reconstruction was based not only on the patient's age and sex, but also on the type of anomaly according to the TBN classification. In particular, a two-step approach with tissue expanders was required in N2 and N3 cases, whereas in N1 patients a single step was sufficient. CONCLUSION: The TBN classification can be a useful tool for surgical decision-making according to each specific thoracic anomaly

    Italian Association of Clinical Endocrinologist (AME) position statement: a stepwise clinical approach to the diagnosis of gastroenteropancreatic neuroendocrine neoplasm

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    We recommend for staging the use of the AJCCTNM 2009, and just for pancreas and appendix AJCC-TNM 2009 and ENETS-TNM 2006/07. The selected system should be specified in the pathologic report.We recommend NEN classification and clinical actions be based on the less favorable data in case of conflicting findings.We recommend histology as the diagnostic standard, cytology if histology is not available. We recommend classification according to WHO 2010.We recommend grading according to Ki-67 index and/or mitotic count. We recommend staging according to AJCC/UICC TNM and ENETS.We recommend routine IHC assessment of synaptophysin and CgA. We suggest IHC assessment of peptide hormones or bioamines as optional in selected cases. We recommend against routine use of other IHC markers in clinical practice
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