The cranial computed tomography (CT) findings of 48 children with purulent meningitis were examined, prospectively, to determine the importance of cranial CT findings on the prognosis of childhood meningitis, in a developing country. The age of children ranged from 2 months to 13 years. Of 48 patients, 29 (60.5%) survived without sequelae, 13 (27%) survived with sequelae, and six (12.5%) died. Cranial CT was normal in 21 (43%) patients of 48 children with meningitis at admission. Abnormal CT findings were detected in 10, 11, and 6 children in the groups of survived without sequelae, survived with sequelae, and deaths, respectively, at admission (p <.05) We found that CT scan results were correlated with neurological signs (p <.05). At least one or more cranial CTs were was re-taken in children in whom the first CT revealed abnormal findings; we did not find a statistically significant difference for the follow-up CT findings between the groups (p >.05). Hydrocephalus and subdural effusion were the commonest abnormal CT findings. In conclusion, our findings showed that cranial CT may safely be used to detect intracranial complications of meningitis in childhood and the ratio of sequelae and death were more common in children with abnormal cranial CT than those of normal cranial CT findings. Additionally, there was a positive correlation between CT scan results and neurological signs.
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http://dx.doi.org/10.1080/00207450490269435 | DOI Listing |
Am Soc Clin Oncol Educ Book
January 2025
City of Hope National Medical Center, Duarte, CA.
Data have matured to support incorporation of integrative oncology modalities into comprehensive cancer care. Clinical practice guidelines have recently been published by ASCO for diet and exercise (2022) and use of cannabinoids and cannabis (2024) and jointly by ASCO and the Society for Integrative Oncology (SIO) for application of integrative approaches in the management of pain (2022), anxiety and depression (2023), and fatigue (2024) among adults with cancer. Following the ASCO-SIO guidelines, clinicians should recommend mindfulness-based interventions (MBIs) to patients with symptoms of anxiety or depression and MBIs and exercise for management of fatigue during or after completion of cancer treatment.
View Article and Find Full Text PDFJ Cardiovasc Med (Hagerstown)
February 2025
Cardiology Unit, Azienda Ospedaliera Universitaria di Ferrara, Cona, Ferrara, Italy.
Introduction: Cardiac amyloidosis typically causes restrictive cardiomyopathy, in which the impairment of diastolic function is dominant. Echocardiography provides prognostic information through some important parameters: left ventricular ejection fraction (LVEF) and global longitudinal strain (GLS). However, LVEF often remains preserved despite disease progression, and GLS is not routinely performed as it is limited by suboptimal image quality.
View Article and Find Full Text PDFJ Appl Oral Sci
January 2025
Universidade Federal Fluminense, Instituto de Saúde de Nova Friburgo, Departamento de Clínica Odontológica, Nova Friburgo, Rio de Janeiro, Brasil.
Aim: To evaluate the clinical effectiveness of ozonated sunflower oil (Oz) as an adjunctive of non-surgical periodontal therapy in patients with type 2 diabetes mellitus (DM2), on fibroblast cell viability and migration and the effectiveness of Oz on a Candida albicans (C. albicans) culture.
Methodology: In total, 32 sites in 16 DM2 with moderate to advanced periodontal disease with periodontal pocket depths ≥5mm were selected.
Arq Bras Cir Dig
January 2025
Instituto D'Or de Pesquisa e Ensino, Digestive Surgery Program - Rio de Janeiro (RJ), Brazil.
Complete removal of metastatic disease and maintenance of an adequate liver remnant remains the only treatment option with curative intent concerning colorectal liver metastases. Surgery impacts on the long-term prognosis and complications adversely affect oncological results. The actual morbidity involving this scenario is debatable and estimated to be ranging from 15% to 50%.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Department of Anesthesiology, Daping Hospital, Army Medical University, Chongqing, China.
Background: Recent research has revealed the potential value of machine learning (ML) models in improving prognostic prediction for patients with trauma. ML can enhance predictions and identify which factors contribute the most to posttraumatic mortality. However, no studies have explored the risk factors, complications, and risk prediction of preoperative and postoperative traumatic coagulopathy (PPTIC) in patients with trauma.
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