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Objective: Dural puncture epidural technique is refinement of standard epidural technique. Its goal is to overcome drawbacks of standard epidural. We assessed whether dural puncture epidural technique performed by 27-gauge spinal needle would provide higher quality of labour epidural analgesia by using 10 mL epidural bolus of 0.125% bupivacaine. Additionally, the impact of dural puncture epidural on epidural analgesia onset, course of labour and occurrence of maternal side effects was examined. Methods: We designed prospective, randomized, single-blind study. A total of 76 healthy nulliparous parturients were randomly allocated to dural puncture or standard epidural group. After identification of epidural space, spinal Whitacre needle was used for dural puncture. Intrathecal drug administration was omitted at that point. Both groups received a bolus of local anaesthetic mixture, followed by a continuous infusion of diluted local anaesthetic via epidural catheter. Pain was assessed by numeric pain rating scale. The number of top-ups and mode of delivery were recorded in both groups. Results: After 10 minutes, there was a statistically significant difference in numeric pain rating scale ≤3 reported (P=0.028), with 97.4% subjects in dural puncture epidural group achieving adequate analgesia after 10 minutes. There was no statistically significant difference in the number of additional boluses, time to delivery, Bromage scale achieved or maternal outcomes between groups. Conclusion: Dural puncture epidural technique appears to be effective in providing faster onset of epidural analgesia. However, the need for additional boluses remains unchanged. It can be safely used in obstetrics, without deleterious effect on the course of labour. [ABSTRACT FROM AUTHOR]

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The article discusses the potential benefits and challenges of utilizing routinely collected ICU data for secondary use in research and clinical practice. It highlights the vast amount of data available from various sources in the ICU and the importance of data quality for reliable insights. The article also emphasizes the need for standardized data validation processes and the role of data scientists in ensuring data integrity and developing accurate models. By leveraging big data and artificial intelligence, ICU data can support data-driven decision-making and enhance patient care, while acknowledging the limitations and uncertainties inherent in these models. [Extracted from the article]

Copyright of Acta Medica Croatica is the property of Croatian Academy of Medical Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)