8 research outputs found
Cardiac Magnetic Resonance in heart transplant patients: diagnostic value of quantitative tissue markers (T2 mapping and ECV) for acute cardiac rejection diagnosis
Intracellular and Extracellular Myocardial Changes after Aortic Valve Replacement for Severe Aortic Stenosis: A Prospective Pilot Cardiovascular Magnetic Resonance Study in Patients with Isolated Interstitial Diffuse Myocardial Fibrosis.
International audienc
Reverse shoulder arthroplasty for recent proximal humerus fractures: Outcomes in 422 cases
Unravelling the etiology of sporadic late-onset cerebellar ataxia in a cohort of 205 patients: a prospective study
BACKGROUND: Despite recent progress in the field of genetics, sporadic late-onset (>â40Â years) cerebellar ataxia (SLOCA) etiology remains frequently elusive, while the optimal diagnostic workup still needs to be determined. We aimed to comprehensively describe the causes of SLOCA and to discuss the relevance of the investigations. METHODS: We included 205 consecutive patients with SLOCA seen in our referral center. Patients were prospectively investigated using exhaustive clinical assessment, biochemical, genetic, electrophysiological, and imaging explorations. RESULTS: We established a diagnosis in 135 (66%) patients and reported 26 different causes for SLOCA, the most frequent being multiple system atrophy cerebellar type (MSA-C) (41%). Fifty-one patients (25%) had various causes of SLOCA including immune-mediated diseases such as multiple sclerosis or anti-GAD antibody-mediated ataxia; and other causes, such as alcoholic cerebellar degeneration, superficial siderosis, or Creutzfeldt-Jakob disease. We also identified 11 genetic causes in 20 patients, including SPG7 (nâ=â4), RFC1-associated CANVAS (nâ=â3), SLC20A2 (nâ=â3), very-late-onset Friedreich's ataxia (nâ=â2), FXTAS (nâ=â2), SCA3 (nâ=â1), SCA17 (nâ=â1), DRPLA (nâ=â1), MYORG (nâ=â1), MELAS (nâ=â1), and a mitochondriopathy (nâ=â1) that were less severe than MSA-C (pâ<â0.001). Remaining patients (34%) had idiopathic late-onset cerebellar ataxia which was less severe than MSA-C (pâ<â0.01). CONCLUSION: Our prospective study provides an exhaustive picture of the etiology of SLOCA and clues regarding yield of investigations and diagnostic workup. Based on our observations, we established a diagnostic algorithm for SLOCA
Strategies to safely rule out pulmonary embolism in COVID-19 outpatients: a multicenter retrospective study
International audienceObjectives: The objective was to define a safe strategy to exclude pulmonary embolism (PE) in COVID-19 outpatients, without performing CT pulmonary angiogram (CTPA).Methods: COVID-19 outpatients from 15 university hospitals who underwent a CTPA were retrospectively evaluated. D-Dimers, variables of the revised Geneva and Wells scores, as well as laboratory findings and clinical characteristics related to COVID-19 pneumonia, were collected. CTPA reports were reviewed for the presence of PE and the extent of COVID-19 disease. PE rule-out strategies were based solely on D-Dimer tests using different thresholds, the revised Geneva and Wells scores, and a COVID-19 PE prediction model built on our dataset were compared. The area under the receiver operating characteristics curve (AUC), failure rate, and efficiency were calculated.Results: In total, 1369 patients were included of whom 124 were PE positive (9.1%). Failure rate and efficiency of D-Dimerâ>â500 ”g/l were 0.9% (95%CI, 0.2â4.8%) and 10.1% (8.5â11.9%), respectively, increasing to 1.0% (0.2â5.3%) and 16.4% (14.4â18.7%), respectively, for an age-adjusted D-Dimer level. D-dimerâ>â1000 ”g/l led to an unacceptable failure rate to 8.1% (4.4â14.5%). The best performances of the revised Geneva and Wells scores were obtained using the age-adjusted D-Dimer level. They had the same failure rate of 1.0% (0.2â5.3%) for efficiency of 16.8% (14.7â19.1%), and 16.9% (14.8â19.2%) respectively. The developed COVID-19 PE prediction model had an AUC of 0.609 (0.594â0.623) with an efficiency of 20.5% (18.4â22.8%) when its failure was set to 0.8%.Conclusions:The strategy to safely exclude PE in COVID-19 outpatients should not differ from that used in non-COVID-19 patients. The added value of the COVID-19 PE prediction model is minor