Articles: anesthesia.
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Obstetric anesthesia guidelines are essential for standardizing obstetric anesthesia practices globally and ensuring high-quality patient care. However, practices may vary across different settings, and there are limited data from Arab countries. This study aims to gain insights into obstetric anesthesia practices in several major hospitals across Arab countries. ⋯ This survey highlights variations in obstetric anesthesia practices among various major hospitals in several Arab countries, compared to international recommendations. It emphasizes the need for obstetric anesthesia registries in the Arab world for future research. Further studies are required to outline country-specific practices, improve resource allocation, and enhance obstetric population safety and satisfaction.
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Randomized Controlled Trial
Application of placing the anterior end of endotracheal tube at the glottis in laryngeal mask airway positive ventilation during general anesthesia: A prospective, randomized, controlled trial.
Glottic contraction and closure causes ventilation obstruction and laryngeal mask airway (LMA) leakage during positive pressure ventilation using LMA. This study aimed to assess the effect of placing the anterior end of the endotracheal tube (ET) at the glottis through the LMA ventilation conduit on treating LMA leakage following glottic contraction and closure. ⋯ Placing the anterior end of ET at the glottis reduced LMA air leakage related to glottic contraction and closure in non-minor surgery. The ET placing had low stress response and did not significantly increase postoperative complications.
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Catheter-related bladder discomfort (CRBD) commonly occurs in patients who have indwelling urinary catheters while under general anesthesia. And moderate-to-severe CRBD can lead to significant adverse events and negatively impact patient health outcomes. However, current screening studies for patients experiencing moderate-to-severe CRBD after waking from general anesthesia are insufficient. Constructing predictive models with higher accuracy using multiple machine learning techniques for early identification of patients at risk of experiencing moderate-to-severe CRBD during general anesthesia resuscitation. ⋯ The study has successfully developed a machine learning prediction model that exhibits excellent predictive capabilities in identifying patients who may develop moderate-to-severe CRBD after undergoing general anesthesia. Furthermore, the study also presents a nomogram, which serves as a valuable tool for clinical healthcare professionals, enabling them to intervene at an early stage for better patient outcomes.