Publications by authors named "C Clec H"

Background Neuromuscular blocking agents are crucial for anesthesia but can cause reversible paralysis, leading to risks like postoperative residual dysfunction. Undetected paralysis in the post-anesthesia care unit (PACU) jeopardizes patient safety by impairing airway function and increasing complications. Effective reversal, assessed clinically or via nerve stimulation, is critical to prevent residual postoperative curarization (RPOC), which is linked to significant morbidity and mortality.

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Article Synopsis
  • India accounted for a significant portion of the global malaria burden in 2021, with 79% of cases and 83% of related deaths in the South-East Asia Region, prompting the implementation of intensified malaria control programs supported by Global Funds.* -
  • A study is being conducted in 11 high malaria-endemic states, involving the assessment of malaria elimination interventions, healthcare system preparedness, and the attitudes of healthcare workers, involving interviews with nearly 38,000 households.* -
  • The findings of the study will be shared with ethical boards and the community, ensuring transparency, and will also be published in reputed journals, highlighting the local engagement through community outreach.*
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Background Spinal dysraphism, characterized by incomplete closure of neural and bone spinal structures, manifests as congenital fusion abnormalities along the dorsal midline, involving the skin, subcutaneous tissue, meninges, vertebrae, and neural tissue. Magnetic resonance imaging (MRI), the preferred imaging modality for assessing spinal dysraphism across all age groups, provides direct visualization of the spinal cord without the need for contrast or ionizing radiation while also eliminating bone artifacts and allowing multiplanar imaging. The objective of this study was to evaluate the range of spinal dysraphism lesions and assess the significance of MRI in their evaluation.

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Background A major development in noninvasive imaging modalities, computed tomographic enterography (CTE) has a number of benefits over conventional computed tomography (CT) and capsule endoscopy. Through the utilization of multidetector computed tomography (MDCT) technology, CTE expedites the assessment of small bowel diseases, especially in those segments that are not accessible through traditional endoscopy. This study's main goal is to thoroughly evaluate CTE's diagnostic accuracy for a range of small intestinal conditions.

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Background: The use of tools that allow estimation of the probability of progression of chronic kidney disease (CKD) to advanced stages has not yet achieved significant practical importance in clinical setting. This study aimed to develop and validate a machine learning-based model for predicting the need for renal replacement therapy (RRT) and disease progression for patients with stage 3-5 CKD.

Methods: This was a retrospective, closed cohort, observational study.

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