https://www.selleckchem.com/products/lonafarnib-sch66336.html Model discrimination was good for SD and excellent for PFD with Harrell's C of 0.67 and 0.78 after correction for optimism, respectively. The observed and predicted incidences were similar in each quartile of risk scores at 3years in each model. The performance of both models remained robust in ATMOSPHERE. We developed and validated models which separately predict SD and PFD in patients with HFrEF. These models may help clinicians and patients consider therapies targeted at these modes of death. PARADIGM-HF ClinicalTrials.gov NCT01035255, ATMOSPHERE ClinicalTrials.gov NCT00853658. PARADIGM-HF ClinicalTrials.gov NCT01035255, ATMOSPHERE ClinicalTrials.gov NCT00853658. Paragangliomas are infrequent neuroendocrine tumours whose only criterion for malignancy is presence of metastases; thus, all paragangliomas show malignant potential. Actually, different risk factors have been analyzed to predict metastases but they remain unclear. To analyze clinical, histological, and genetic factors to predict the occurrence of metastasis. A multicentre retrospective observational analysis was performed between January 1990 and July 2019. Patients diagnosed with paraganglioma were selected. Clinical, histological, and genetic features were analyzed for the prediction of malignancy. A total of 83 patients diagnosed with paraganglioma were included, of which nine (10.8%) had malignant paraganglioma. Tumour size was greater in malignant tumours than in benign (6cm vs. 4cm, respectively; pā€‰=ā€‰0.027). The most frequent location of malignancy was the thorax-abdomen-pelvis area observed in six cases (pā€‰=ā€‰0.024). No differences were observed in histological differentiation, age, symptoms, and catecholaminergic production. The most frequent genetic mutation was SDHD followed by SDHB but no differences were observed between benign and malignant tumours. In the univariate analysis for predictive factors for malignancy, location, tumour