Rheumatoid-nodule-like cutaneous granuloma associated with recombinase activating gene 1-deficient severe combined immunodeficiency: A rare case.

Cutaneous granulomas without detectable infectious etiology rarely occur in children and adults with primary immunodeficiency disorders. These cutaneous granulomas are primarily seen in combined variable immunodeficiency, ataxia-telangiectasia, and severe combined immunodeficiency (SCID) and can emulate the reaction patterns seen in sarcoidosis and granuloma annulare. To date, the literature has described only six cases of non-infectious cutaneous granulomas in SCID. We report an unusual case of cutaneous granuloma, mimicking a sarcoma, in a 40-year old male with recombinase activating gene 1-deficient SCID, who presented with a slow-growing globus mass over the lateral aspect of the right elbow. There was heterogeneous enhancement on MRI, which was concerning for neoplasm but no malignancy was found on frozen or permanent sections. GMS, PAS with diastase, and AFB stains, as well as microbiology cultures, were negative. An AE1/AE3 stain was negative and a CD163 stain highlighted histiocytes. No infectious etiology was identified and histopathology revealed palisaded granulomatous dermatitis, most closely resembling a rheumatoid nodule. Although cutaneous manifestations have been reported in nearly half of primary immunodeficiency disorder cases, non-infectious cutaneous granulomas are exceedingly rare in SCID. To our knowledge, this is the first case report of cutaneous palisaded granulomatous dermatitis mimicking a rheumatoid nodule in a major joint.

Effects of a predictive preventive model for prevention of Clostridium difficile infection in patients in intensive care units.

BACKGROUND: Health care-acquired Clostridium difficile infection (HACDI) is associated with adverse outcomes at both the organization and patient level. Factors that increase risk for development of HACDI have been identified. Objectives of this study were to develop a predictive screening tool to identify patients at risk for HACDI and implement a bundle of mitigation interventions. METHODS: A predictive screening tool was developed based on risk factors identified in the literature and validated by retrospective analysis of all HACDI cases occurring in critically ill patients during 2013. The tool was used to screen all patients admitted to an intensive care unit. Evidence-based interventions (bundle) were implemented for patients identified as being at high risk for HACDI. Effectiveness of the model was measured by reduction of HACDI rate during the intervention period compared with the preintervention period. RESULTS: During the 12-month intervention period 217 high-risk patients were identified as infected with Clostridium difficile. Sixty-two of these met exclusion criteria, resulting in a study population of 157 patients. During the preintervention phase, 10 cases of HACDI occurred (overall incidence rate, 14.7). During the 12-month study period, 2 cases of HACDI were identified (incidence rate, 3.12). The reduction was statistically significant. CONCLUSION: A strategy for identifying patients at increased risk and implementation of multidisciplinary risk-mitigation strategies is effective in reducing incidence of HACDI.