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Background. We aimed to report our experience with bronchial artery embolization (BAE) in the management of moderate recurrent and/or life-threatening hemoptysis. Methods. We evaluated the demographics, clinical presentation, radiographic studies, short- and long-term efficacy, and complications in patients Who underwent BAE, at a tertiary university hospital, from 2003 to 2012. Results. Three hundred forty-one patients underwent BAE for the management of moderate recurrent or life-threatening hemoptysis. Pulmonary TB and bronchiectasis were the most common etiologies for hemoptysis in our locality. The most common angiographic signs for hemoptysis were hypervascularity and systemic-pulmonary artery shunt. BAE was successful in controlling hemoptysis immediately in 95% of patients and at 1 month in 90% of patients. Recurrence of hemoptysis was observed in 9.6% of patients, and reembolization was indicated in 85% of those cases. Complications of BAE were self-limited acute and subacute complications, while chronic complications were not recorded during this study. Conclusions. TB and bronchiectasis are the commonest etiologies for moderate recurrent or life-threatening hemoptysis in our locality. Hypervascular lesions from the bronchial arteries and nonbronchial systemic arteries represented the major vascular abnormalities. Bronchial and nonbronchial systemic artery embolizations were effective to control both acute and chronic hemoptyses, with no serious complications.

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Unintentional injury remains the leading cause of morbidity and mortality among children worldwide.The aim of this study was to describe the mother '

To enhance the quality of higher education institutions (HEIs), key performance indicators (KPIs) must be explored and measured. KPIs deems as a measurable value which explains the effectiveness of an institution and how it is achieving key objectives. Institutions use KPIs for ensuring that they are going on the right way or not. Many of the indicators for HEIs have been developed before, but the main question is how to choose the indicators that fit the institution for achieving goals and how to measure these indicators. This paper provides a model to explore and measure KPIs using text mining and feature extraction technique and measure indicators automatically rather than traditional methods of exploring based a questionnaire, we measure KPIs to know the impact of exploring these KPIs on the overall performance in HEIs.