Citations

We report a colonic adenocarcinoma associated with diffuse submucosal deposition of a peculiar spheroid‐type amyloid identified in the colon, terminal ileum, and appendix. A 65‐year‐old woman with past medical histories of hypertension, and chronic obstructive pulmonary disease, presented to the emergency room with cramping abdominal pain and nausea. A computed tomography (CT) scan of abdomen showed right colonic volvulus. Emergency right hemicolectomy was performed. The specimen showed colonic adenocarcinoma with focal submucosal invasion (pT1) arising from a villotubular adenoma. A diffuse submucosal spheroid‐type amyloid deposition (resembling corpora amylacea‐like structures with Liesegang ring formation) was identified in the colon, ileum, and appendix. Electron microscopy examination of this unusual spheroidal‐type material further confirmed the presence of amyloid fibrils. Analysis by liquid chromatography–mass spectrometry detected AL (lambda) type amyloidosis in this specimen. Tests for monoclonal gammopathy were not performed because patient consent was not obtained. In tissue section evaluation, however, no plasma cell neoplasm was identified. Cases with isolated AL amyloid deposition in the gastrointestinal tract have been reported rarely, and there is no case report of colonic adenocarcinoma associated with primary amyloid deposition in the English literature.

AbstractBackground/ObjectivesPediatricians manage skin conditions such as atopic dermatitis (AD) but report that their dermatologic training is inadequate. Online modules may enhance medical education when sufficient didactic or clinical teaching experiences are lacking. We assessed whether an online module about AD improved pediatric residents’ knowledge and changed their clinical management of AD.MethodsTarget and control cohorts of pediatric residents from two institutions were recruited. Target subjects took a 30‐question test about AD early in their residency, reviewed the online module, and repeated the test 6 months and 1 year later. The control subjects, who had 1 year of clinical experience but had not reviewed the online module, also took the test. The mean percentage of correct answers was calculated and compared using two‐sided, two‐sample independent t tests and repeated‐measures analysis of variance. For a subset of participants, clinical documentation from AD encounters was reviewed and 13 practice behaviors were compared using the Fisher exact test.ResultsTwenty‐five subjects in the target cohort and 29 subjects in the control cohort completed the study. The target cohort improved from 18.0 ± 3.2 to 23.4 ± 3.4 correctly answered questions over 1 year (P < .001). This final value was greater than that of the control cohort (20.7 ± 4.5; P = .01). Meaningful differences in practice behaviors were not seen.ConclusionPediatric residents who reviewed an online module about AD demonstrated statistically significant improvement in disease‐specific knowledge over time and had statistically significantly higher scores than controls. Online dermatology education may effectively supplement traditional clinical teaching.

Objective To describe the methodology used to develop new classification criteria for adult and juvenile idiopathic inflammatory myopathies (IIMs) and their major subgroups. Methods An international, multidisciplinary group of myositis experts produced a set of 93 potentially relevant variables to be tested for inclusion in the criteria. Rheumatology, dermatology, neurology and paediatric clinics worldwide collected data on 976 IIM cases (74% adults, 26% children) and 624 non-IIM comparator cases with mimicking conditions (82% adults, 18% children). The participating clinicians classified each case as IIM or non-IIM. Generally, the classification of any given patient was based on few variables, leaving remaining variables unmeasured. We investigated the strength of the association between all variables and between these and the disease status as determined by the physician. We considered three approaches: (1) a probability-score approach, (2) a sum-of-items approach criteria and (3) a classification-tree approach. Results The approaches yielded several candidate models that were scrutinised with respect to statistical performance and clinical relevance. The probability-score approach showed superior statistical performance and clinical practicability and was therefore preferred over the others. We developed a classification tree for subclassification of patients with IIM. A calculator for electronic devices, such as computers and smartphones, facilitates the use of the European League Against Rheumatism/American College of Rheumatology (EULAR/ACR) classification criteria. Conclusions The new EULAR/ACR classification criteria provide a patient’s probability of having IIM for use in clinical and research settings. The probability is based on a score obtained by summing the weights associated with a set of criteria items.

Objective To develop and validate new classification criteria for adult and juvenile idiopathic inflammatory myopathies (IIM) and their major subgroups. Methods Candidate variables were assembled from published criteria and expert opinion using consensus methodology. Data were collected from 47 rheumatology, dermatology, neurology, and pediatric clinics worldwide. Several statistical methods were utilized to derive the classification criteria. Results Based on data from 976 IIM patients (74% adults; 26% children) and 624 non‐IIM patients with mimicking conditions (82% adults; 18% children), new criteria were derived. Each item is assigned a weighted score. The total score corresponds to a probability of having IIM. Subclassification is performed using a classification tree. A probability cutoff of 55%, corresponding to a score of 5.5 (6.7 with muscle biopsy) “probable IIM,” had best sensitivity/specificity (87%/82% without biopsies, 93%/88% with biopsies) and is recommended as a minimum to classify a patient as having IIM. A probability of ≥90%, corresponding to a score of ≥7.5 (≥8.7 with muscle biopsy), corresponds to “definite IIM.” A probability of <50%, corresponding to a score of <5.3 (<6.5 with muscle biopsy), rules out IIM, leaving a probability of ≥50–<55% as “possible IIM.” Conclusion The European League Against Rheumatism/American College of Rheumatology (EULAR/ACR) classification criteria for IIM have been endorsed by international rheumatology, dermatology, neurology, and pediatric groups. They employ easily accessible and operationally defined elements, and have been partially validated. They allow classification of “definite,” “probable,” and “possible” IIM, in addition to the major subgroups of IIM, including juvenile IIM. They generally perform better than existing criteria.