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OBJECTIVE: Giant cell arteritis (GCA) is one of the most common large vessel (LVV) vasculitis and is associated with a high risk of relapse and cardiovascular complications. Improving risk stratification remains a significant issue in this patient population. We aimed to perform a cluster analysis among GCA to identify clusters and evaluate their prognostic value. METHODS: In a multicenter cohort study, we performed hierarchical cluster analysis on the factor analysis of mixed data coordinates results with 283 GCA patients' characteristics to generate clusters and assess incidence of relapse, cardiovascular events and death. RESULTS: Three clusters were identified: "Vascular relapsing profile" (23.0%), "Typical GCA profile" (47.7%), and "Ophthalmologic elderly profile" (29.3%). The "Vascular relapsing profile" cluster included younger patients with more frequent relapses and cardiovascular events, particularly thoracic aortic aneurysms. The "Typical GCA profile" was the largest, with classic cranial manifestations and frequently associated polymyalgia rheumatica. The "Ophthalmologic elderly profile" had the oldest patients with more visual loss and the highest mortality rate. CONCLUSIONS: Our findings underline the varied prognostic landscape within GCA, emphasizing the poor cardiovascular prognosis of younger patients with LV involvement and the higher mortality among elderly patients. This reinforces the need for further research regarding the screening of aortic abnormalities and whether those patients might benefit from intensive treatment with biotherapy and cardiovascular risk factors management.
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Background: Emphysematous pancreatitis is a severe systemic inflammatory process with reports of pulmonary embolism in the setting of acute pancreatitis rarely described. Case presentation: A 61-year-old woman presented with severe abdominal pain of 1 day duration. She was found to have acute interstitial pancreatitis. During her hospitalization, the patient developed worsening abdominal pain associated with increasing oxygen demands, requiring supplemental oxygen through nasal cannula. Workup showed pulmonary embolism in the posterior segmental branch of the left lower lobar artery and development of emphysematous pancreatitis was noted on imaging. The patient was started on intravenous antibiotics and therapeutic anticoagulation; her condition improved and was discharged home. Conclusion: Patients with severe acute pancreatitis may be at risk for pulmonary embolism due to immobilization and other inflammatory mechanisms. Mitigating individualized risk factors and anticoagulation use as prophylaxis should be considered in patients with pancreatitis to prevent embolism. Early detection by clinicians is critical to reduce misdiagnosis and mortality rates.
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Venous thromboembolic disease (VTE) is a common complication in cancer patients. The currently recommended VTE diagnostic approach involves a step-by-step algorithm, which is based on the assessment of clinical probability, D-dimer measurement, and/or diagnostic imaging. While this diagnostic strategy is well validated and efficient in the noncancer population, its use in cancer patients is less satisfactory. Cancer patients often present nonspecific VTE symptoms resulting in less discriminatory power of the proposed clinical prediction rules. Furthermore, D-dimer levels are often increased because of a hypercoagulable state associated with the tumor process. Consequently, the vast majority of patients require imaging tests. In order to improve VTE exclusion in cancer patients, several approaches have been developed. The first approach consists of ordering imaging tests to all patients, despite overexposing a population known to have mostly multiple comorbidities to radiations and contrast products. The second approach consists of new diagnostic algorithms based on clinical probability assessment with different D-dimer thresholds, e.g., the YEARS algorithm, which shows promise in improving the diagnosis of PE in cancer patients. The third approach uses an adjusted D-dimer threshold, to age, pretest probability, clinical criteria, or other criteria. These different diagnostic strategies have not been compared head-to-head. In conclusion, despite having several proposed diagnostic approaches to diagnose VTE in cancer patients, we still lack a dedicated diagnostic algorithm specific for this population.