Background: Explicit criteria for potentially inappropriate medications (PIMs) developed for other countries are difficult to apply to a specific territory. This study aimed to update the PIM-Taiwan criteria from a qualitative review of several published PIM criteria, followed by consensus among regional experts in Taiwan. Methods: After a review of the literature, we selected four sets of published PIM criteria to construct preliminary core PIMs. The Beers criteria, Fit fOR The Aged (FORTA), and Japan criteria were used for PIMs, without consideration of chronic diseases. The Beers criteria, Screening Tool of Older Persons’ Prescriptions (STOPP) criteria, and Japan criteria were used for PIMs with respect to chronic diseases. We asked experts ( n = 24) to rate their agreement with each statement, including in the final PIM criteria, after two rounds of modified Delphi methods. The intraclass coefficient (ICC) was used to examine the reliability of the modified Delphi method. Results: Overall, two categories of PIMs were established: 131 individual drugs and 9 drugs with combinations that should generally be avoided; and 9 chronic diseases with their corresponding PIMs that have drug–disease interactions. The ICC estimates for PIMs to be avoided generally were 0.634 and 0.557 (round 1 and 2) and those for PIMs with respect to chronic diseases were 0.866 and 0.775 (round 1 and 2) of the Delphi method, respectively. Conclusions: The 2018 version of PIM-Taiwan criteria was established and several modifications were made to keep the criteria updated and relevant. Clinicians can use them to reduce polypharmacy and PIMs among older patients.
BackgroundThe goal of this study was to evaluate the accuracy and interchangeability between continuous cardiac output (CO) measured by electrical velocimetry (COEv) and continuous cardiac output obtained using the pulmonary thermodilution method (COPAC) during living donor liver transplantation (LDLT).MethodTwenty-three patients were enrolled in this prospective observational study. CO was recorded by both two methods and compared at nine specific time points. The data were analyzed using correlation coefficients, Bland-Altman analysis for the percentage errors, and the concordance rate for trend analysis using a four-quadrant plot.ResultsIn total, 207 paired datasets were recorded during LDLT. CO data were in the range of 2.8–12.7 L/min measured by PAC and 3.4–14.9 L/min derived from the EV machine. The correction coefficient between COPAC and COEv was 0.415 with p < 0.01. The 95% limitation agreement was − 5.9 to 3.4 L/min and the percentage error was 60%. The concordance rate was 56.5%.ConclusionsThe Aesculon™ monitor is not yet interchangeable with continuous thermodilution CO monitoring during LDLT.Trial registrationThe study was approved by the Institutional Review Board of Chang Gung Medical Foundation in Taiwan (registration number: 201600264B0).
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