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1.
Am J Obstet Gynecol MFM ; 6(5S): 101211, 2024 May.
Article in English | MEDLINE | ID: mdl-37926146

ABSTRACT

BACKGROUND: Preterm birth represents a significant clinical challenge, and the ability to predict it effectively is a priority in obstetrics. The cervix undergoes specific changes during pregnancy, and staging these changes may offer a valuable predictive model for preterm birth, particularly among women with a midtrimester short cervical length. OBJECTIVE: The study aimed to validate a proposed staging model for asymptomatic women with midtrimester short cervical length and to evaluate its potential for predicting preterm birth. The integration of cervical examination and inspection with cervical length measurement was a novel approach to be assessed. STUDY DESIGN: This was a multicenter, retrospective cohort study that included 925 pregnant women with a singleton fetus and a midtrimester cervical length measurement of ≤25 mm. Cervical conditions were assessed using ultrasonography, a speculum, and a physical examination and were classified into 1 of 5 cervical stages to correlate with the likelihood of preterm birth. Statistical analyses included Kaplan-Meier survival analysis to illustrate the time-to-event characteristics across the 5 stages and density plot evaluation to visualize the distribution of the gestational ages within the stages. RESULTS: The staging model included 5 stages based on cervical length, appearance, and dilatation. Among the 925 participants, 649 were classified as being stage 1, 245 as stage 2, 18 as stage 3, 10 as stage 4, and 3 as stage 5. The observed rates of preterm birth before 37 weeks for individuals classified in stages 1, 2, 3, 4, and 5 were 22.3%, 26.5%, 44.4%, 60%, and 66.7%, respectively (P=.005). The overall observed rates of preterm birth before 28, 32, 34, and 37 weeks' gestation were 5.5%, 9.9%, 12.2%, and 24.1%, respectively (P=.005). CONCLUSION: This study validated the proposed staging criteria as an effective predictor of preterm birth caused by cervical insufficiency. The results demonstrate a significant increase in the preterm birth rate with advancing stage classification, indicating that the staging effectively stratified women based on their risk for preterm birth and highlighting the potential use for targeted interventions. Implementing these staging criteria can potentially improve the counseling and management of pregnant women at risk for preterm birth.

2.
Front Med (Lausanne) ; 10: 1139859, 2023.
Article in English | MEDLINE | ID: mdl-36936245

ABSTRACT

Background: Instant messaging applications for mobile phones have recently grown in popularity among medical personnel, including both physicians and medical students. During the COVID-19 pandemic, medical education was largely transferred to virtual platforms, making such applications an increasingly important tool for medical education. "Siilo" is a secure instant messaging application that was designed for medical professionals, and offers several advantages over other instant messaging services that are vital for its use in medical settings, including information security, data encryption, and a built-in blurring tool to maintain patient privacy. In addition, Siilo allows for the creation of individual folders for each case, enabling users to conduct separate discussions about multiple patients simultaneously. Objective: To evaluate student satisfaction in a case-based learning program using Siilo as a medical education tool in improving student learning outcomes and motivation. Methods: A case-based learning program was conducted with 24 fifth-year medical students using Siilo to evaluate its effectiveness as a medical education tool. The program was evaluated through the use of pre- and post-program questionnaires and focus group discussions to assess student satisfaction. Results: The majority of students (83.3%) were highly satisfied with the Siilo platform and felt that it enhanced their learning experience, and a majority of students (79.1%) reported that the program was highly effective. Students reported that the platform was easy to use and provided a clear and organized way to follow discussions about cases. The focus group discussions further revealed that students appreciated the real-time communication and felt that the use of Siilo helped to improve the quality of communication and collaboration during the learning process. The use of Siilo as a medical education tool was found to contribute to positive relationships between doctors and students and improve student motivation for learning and outcomes. Conclusion: These findings suggest that Siilo can be a valuable resource for medical education, particularly due to its secure and convenient features, which are well-suited for use in medical settings. The use of Siilo in a case-based learning program was found to be effective in improving student satisfaction and learning outcomes and contributed to positive relationships between doctors and students. These results highlight the potential for utilizing mobile instant messaging apps as a tool for enhancing clinical teaching in medical education.

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