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Peterson, Pamela

0000-0002-9602-807X

Mayo Clinic

Mayo Clinic

Citations 2

Randomized clinical trial of self-management of sedative therapy by mechanically ventilated patients
Chlan, Linda L. , Tracy, Mary Fran , Gajic, Ognjen , Lal, Amos , Peterson, Pamela , Mandrekar, Jayawant N. , Harmsen, William S. , Wittwer, Erica D. , Weinert, Craig , Mandrekar, Jay , Wittwer, Erica D , Weinert, Craig R , Lal, Amos , Chlan, Linda L , Gajic, Ognjen

Annals of the American Thoracic Society | August 5, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1093/annalsats/aaoag233 Get It

Abstract Rationale Mechanically ventilated intensive care unit patients receive sedatives based on clinician observations of arousal and motor activity with potential for negative consequences and poor mitigation of symptoms. Objectives To test the preliminary efficacy of patient self-managed sedative therapy compared to usual care of nurse-administered sedation on self-reported anxiety, duration of mechanical ventilation, and delirium incidence (CAM-ICU). Methods A two-group, open-label, randomized, multicenter clinical trial in 5 Midwestern hospitals enrolled 161 patients receiving invasive mechanical ventilation who were willing and able to use a push-button device to self-administer sedation for up to 7 days. Patients were randomized 1:1 using center-stratified blocks to usual care (n = 81) or intervention (n = 80) with self-administered dexmedetomidine. Intervention patients were allowed 3 self-administered dexmedetomidine boluses per hour (0.25 mcg/kg) with 20-minute lock-outs. The initial basal infusion (0.2 mcg/kg/hr) was adjusted by nurses between 0.1-0.7 mcg/kg/hr based on patient-delivered boluses in the prior 2 hours. Analysis consisted of linear mixed-effects model for comparisons of anxiety ratings over time and duration of mechanical ventilation. Incidence of delirium was analyzed using generalized estimating equations. Measurement and Main Results Sample characteristics had a female (54.7%) and Caucasian preponderance (92.5%) with a median age of 62 years on protocol for a median of 88 hours. Nine intervention patients were extubated prior to protocol initiation. Patient self-reported three times daily anxiety ratings with a visual analog scale (VAS) ranged from 0-100 over time but were not significantly different between groups in either an intention-to-treat (ITT) or per protocol (PP) analysis (p = 0.94, p = 0.30 respectively). While intervention patients had shorter duration of MV [(mean 50.8(52.8) vs. usual care 68.7(58.2) hours), p = 0.02 ITT], PP analysis resulted in no difference between groups (mean 56.4 (53.0) vs. 68.7(58.2), p = 0.23). 10.2% of intervention patients developed new incidence of delirium vs. 8.5% of usual care which was not significantly different between groups by either ITT (p = 0.65) or PP analyses (p = 0.58). Conclusions Intervention patients had similar outcomes compared to usual care patients. Self-administration of sedative therapy is a safe, novel patient-centered intervention warranting further rigorous investigation for anxiety self-management.
Description of Pharmacogenomic Testing Among Patients Admitted to the Intensive Care Unit After Cardiovascular Surgery
Peterson, Pamela E., Nicholson, Wayne T. , Moyer, Ann M. , Arendt, Christopher, Smischney, Nathan J. , Seelhammer, Troy G. , Krecke, Catherine, Haney, Rory M., Yaw, Elissa J., Chlan, Linda L. , Arendt, Christopher J, Krecke, Catherine A, Peterson, Pamela , Chlan, Linda L , Smischney, Nathan J

Journal of Intensive Care Medicine | July 31, 2020 | Volume: 36 | Issue: 11 | Pages: 1281-1285

10.1177/0885066620946303 Get It

Background: Pharmacogenomic (PGx) testing has the potential to provide information on specific drug-metabolizing enzymes that may lead to an absence, reduction, or increase in medication effect in patients. There is a paucity of prospective studies examining PGx testing in the intensive care unit (ICU) setting. Research Aims: To (1) obtain a PGx panel in a sample of cardiovascular (CV) surgical patients with a planned ICU stay and identify phenotypes, and (2) identify PGx variants that may inform treatment regimens and may warrant prescribing adjustments. Design and Methods: Descriptive, single cohort cross-sectional design. Adult (≥18 years) CV patients with an anticipated postoperative ICU stay were enrolled from a large Midwestern tertiary academic medical center. Eligible patients provided informed consent at the time of their CV clinic appointment; PGx testing was then ordered. Pharmacogenomic testing consisted of the Focused Pharmacogenomics panel which included 10 genes and 55 medications. Results: Of the 272 patients screened, 100 (68% male) patients completed PGx testing (mean age 66.2 ± 9.6 years, mean Acute Physiology, Age and Chronic Health Evaluation III score 76.1 ± standard deviation). Pharmacogenomic results were available in the medical record within a median of 52.4 hours (interquartile range: 33.4-80.3). Pharmacogenomic testing results identified 5 CYP2C19 poor metabolizers, 26 CYP2C19 rapid metabolizers, 5 CYP2C19 ultrarapid metabolizers, 6 CYP2D6 poor metabolizers, 5 CYP2D6 poor to intermediate metabolizers, and 2 CYP2D6 rapid metabolizers identified. Overall, 98% of patients had actionable or potentially actionable PGx results, including 82% for warfarin, 65% for propafenone, 65% for tramadol, 46% for oxycodone, 45% for metoprolol, 33% for clopidogrel, 32% for proton pump inhibitors, 25% for statins, and 12% for haloperidol. Conclusions: A significant portion of patients had identified genetic variants that may warrant changes in medication management during and after CV-ICU stay. It remains to be seen if PGx testing leads to improvements in ICU patient outcomes.