Journal of clinical monitoring and computing
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J Clin Monit Comput · Apr 2022
Ultrasonography-guided post-pyloric feeding tube insertion in medical intensive care unit patients.
In this study, we investigated placement rate, complication rate and time spent of successful post-pyloric enteral feeding (PPEF) tube insertion procedure guided by ultrasonography (USG). The patients who required enteral nutrition and who admitted to medical intensive care unit (MICU) of Gazi University Hospital were included to this single-center, prospective, cohort study. It was aimed to insert the enteral feeding tube into the proximal duodenum as the post-pyloric area by ultrasonography guidance. ⋯ There was no significant difference in insertion time according to gender (female vs male; 10 [IQR 8-20] min. vs 17 [IQR 12-25] min., p = 0.052) and endotracheal intubation status (intubated vs non-intubated; 14 [IQR 10-25] min. vs 12 [IQR 10-25] min., p = 0.985). Only one complication was seen during study (self-limiting epistaxis in one patient). PPEF tube insertion under USG guidance could ensure the initiation of enteral feeding safely and rapidly without exposure to radiation in ICU patients.
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The operation of the BIS monitor remains undescribed, despite 20 years of clinical use and 3000 academic articles. The core algorithmic software (the BIS Engine) can be retrieved from the motherboard of the A-2000 monitor in binary form through forensic disassembly using debugging interfaces left in place by the original designers, opening the possibility of executing the BIS algorithms on contemporary computers through emulation. Three steps were required for emulation. ⋯ Additive white noise in the EEG caused a progressive lifting and flattening of BIS values. Emulation replicates BIS Engine behavior, allowing calculation upon existing EEG datasets or signals from other, potentially remote or wireless, devices. Emulation provides advantages for elucidating the mathematical expression of the algorithms, which remain important as practical constraints on any hypothetical mechanism of action of anesthetics.
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J Clin Monit Comput · Apr 2022
Accuracy of identifying hospital acquired venous thromboembolism by administrative coding: implications for big data and machine learning research.
Big data analytics research using heterogeneous electronic health record (EHR) data requires accurate identification of disease phenotype cases and controls. Overreliance on ground truth determination based on administrative data can lead to biased and inaccurate findings. Hospital-acquired venous thromboembolism (HA-VTE) is challenging to identify due to its temporal evolution and variable EHR documentation. ⋯ Additionally, 45% of diagnostic test confirmed HA-VTE cases lacked corresponding ICD codes. ICD-9-CM coding missed diagnostic test-confirmed HA-VTE cases and inaccurately assigned cases without confirmed VTE, suggesting dependence on administrative coding leads to inaccurate HA-VTE phenotyping. Alternative methods to develop more sensitive and specific VTE phenotype solutions portable across EHR vendor data are needed to support case-finding in big-data analytics.
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J Clin Monit Comput · Apr 2022
Adaptive threshold-based alarm strategies for continuous vital signs monitoring.
Continuous vital signs monitoring in post-surgical ward patients may support early detection of clinical deterioration, but novel alarm approaches are required to ensure timely notification of abnormalities and prevent alarm-fatigue. The current study explored the performance of classical and various adaptive threshold-based alarm strategies to warn for vital sign abnormalities observed during development of an adverse event. A classical threshold-based alarm strategy used for continuous vital signs monitoring in surgical ward patients was evaluated retrospectively. ⋯ Combining specific strategies improved overall performance most and resulted in earlier presentation of alarms in case of adverse events. Strategies that adapt vital sign alarm thresholds to personal or situational factors may improve early detection of adverse events or reduce alarm rates as compared to classical alarm strategies. Accordingly, further investigation of the potential of adaptive alarms for continuous vital signs monitoring in ward patients is warranted.