Antipsychotics and the QTc Interval During Delirium in the Intensive Care Unit: A Secondary Analysis of a Randomized Clinical Trial.

Importance: Antipsychotic medications, often prescribed for delirium in intensive care units (ICUs), may contribute to QTc interval prolongation. Objective: To determine whether antipsychotics increase the QTc interval in patients with delirium in the ICU. Design, Setting, and Participants: An a priori analysis of a randomized clinical trial in medical/surgical ICUs within 16 centers across the US was conducted. Participants included adults with delirium in the ICU with baseline QTc interval less than 550 ms. The study was conducted from December 2011 to August 2017. Data analysis was performed from April 25 to August 18, 2021. Interventions: Patients were randomized 1:1:1 to intravenous haloperidol, ziprasidone, or saline placebo administered twice daily until resolution of delirium, ICU discharge, or 14 days. Main Outcomes and Measures: Twelve-lead electrocardiograms were used to measure baseline QTc before study drug initiation and telemetry was used to measure QTc before each subsequent dose of study drug. Unadjusted day-to-day changes in QTc were calculated and multivariable proportional odds regression was used to estimate the effects of antipsychotics vs placebo on next-day maximum QTc interval, adjusting for prespecified baseline covariates and potential interactions with sex. Safety end points, including the occurrence of torsade de pointes, were evaluated. All analyses were conducted based on the intention to treat principle. Results: A total of 566 patients were randomized to haloperidol (n = 192), ziprasidone (n = 190), or placebo (n = 184). Median age was 60.1 (IQR, 51.4-68.7) years; 323 were men (57%). Baseline median QTc intervals across the groups were similar: haloperidol, 458.0 (IQR, 432.0-479.0) ms; ziprasidone, 451.0 (IQR, 424.0-472.0) ms; and placebo, 452.0 (IQR, 432.0-472.0) ms. From day 1 to day 2, median QTc changed minimally: haloperidol, -1.0 (IQR, -28.0 to 15.0) ms; ziprasidone, 0 (IQR, -23.0 to 20.0) ms; and placebo, -3.5 (IQR, -24.8 to 17.0) ms. Compared with placebo, neither haloperidol (odds ratio [OR], 0.95; 95% CI, 0.66-1.37; P = .78) nor ziprasidone (OR, 1.09; 95% CI, 0.75-1.57; P = .78) was associated with next-day QTc intervals. Effects were not significantly modified by sex (P = .41 for interaction). There were 2 occurrences of nonfatal torsade de pointes, both in the haloperidol group. Neither was associated with study drug administration. Conclusions and Relevance: The findings of this trial suggest that daily QTc interval monitoring during antipsychotic use may have limited value in patients in the ICU with normal baseline QTc and few risk factors for QTc prolongation. Trial Registration: ClinicalTrials.gov Identifier: NCT01211522.

Physical and Chemical Compatibility of Medications Commonly Used in Critically Ill Patients With Balanced Crystalloids: A Systematic Review.

OBJECTIVE: Evaluate available evidence of physical and/or chemical compatibility of commonly used medications in critically ill patients with balanced crystalloids. DATA SOURCES: Ovid MEDLINE, Embase, Cochrane Central Register of Controlled Trials, and Cochrane Database of Systematic Reviews were queried from inception to September 2022. STUDY SELECTION AND DATA EXTRACTION: This review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. English-language studies reporting physical and/or chemical compatibility data between 50 selected medications and balanced crystalloids were included. A previously designed tool to assess risk of bias was adapted for use. DATA SYNTHESIS: Twenty-nine studies encompassing 39 (78%) medications and 188 unique combinations with balanced crystalloids were included. Combinations included 35 (70%) medications with lactated Ringer's, 26 (52%) medications with Plasma-Lyte, 10 (20%) medications with Normosol, and one (2%) medication with Isolyte. Studies commonly evaluated physical and chemical compatibility (55.2%). More medications were evaluated via Y-site than admixture. Incompatibilities were identified in 18% of combinations comprising 13 individual drugs. RELEVANCE TO PATIENT CARE AND CLINICAL PRACTICE: This systematic review evaluates the compatibility of select critical care medications with balanced crystalloid solutions. Results may be used as a tool to guide clinicians on balanced crystalloid compatibility, potentially increasing ubiquitous use and reducing patient exposure to normal saline. CONCLUSION AND RELEVANCE: Data are limited regarding chemical/physical compatibility of commonly used medications in critically ill patients with balanced crystalloids. Additional compatibility studies are warranted, particularly methodologically rigorous studies assessing Plasma-Lyte, Normosol, and Isolyte. Of the evaluated medications, there was a low frequency of incompatibilities with balanced crystalloids.

Correlation of the Critical Care Pain Observation Tool and Numeric Rating Scale in Intensive Care Unit Patients.

PURPOSE: We sought to determine the correlation between the Numeric Rating Scale (NRS) and Critical-Care Pain Observation Tool (CPOT) to determine whether clinical factors modified the relationship between NRS and CPOT assessments. MATERIALS AND METHODS: We included nonventilated adults admitted to the MICU or SICU who could self-report pain and had at least 3 paired NRS and CPOT assessments. We performed Spearman correlation to assess overall correlation and performed proportional odds logistic regression to evaluate whether the relationship between NRS and CPOT assessments was modified by clinical factors. RESULTS: Nursing staff performed NRS and CPOT assessments every 4 h in 1302 patients, leading to 61,142 matched assessments. We found that the NRS and CPOT have a Spearman correlation coefficient of 0.56 and an intraclass correlation coefficient of 0.32 in intensive care unit patients. Factors that modified the relationship between the NRS and CPOT included the presence of delirium (P < .001) and lower mean daily Richmond Agitation Sedation Scale (<0.001). CONCLUSIONS: The correlation coefficient between the NRS and the CPOT was found to be 0.56. The presence of delirium, decreased level of arousal, modified the relationship between the NRS and CPOT. Self-reported and behavioral pain assessments cannot be used interchangeably in critically ill adults.

Comparison of SAT and SBT Conduct During the ABC Trial and PILOT Trial.

BACKGROUND: Implementation of the "B" element-both spontaneous awakening trials (SATs) and spontaneous breathing trials (SBTs)-of the ABCDEF bundle improves the outcomes for mechanically ventilated patients. In 2021, the Pragmatic Investigation of optimal Oxygen Targets (PILOT) trial investigating optimal oxygenation targets in patients on mechanical ventilation was completed. OBJECTIVES: To compare SAT and SBT conduct between a randomized controlled trial and current clinical care. METHODS: The 2008 Awakening and Breathing Controlled (ABC) Trial (2003-2006) randomized mechanically ventilated patients to paired SATs and SBTs versus sedation per usual care plus SBTs. The PILOT trial (2018-2021) enrolled patients years later where SAT + SBT conduct was observed. We compared SAT and SBT conduct in ABC's interventional group (SAT + SBT; n = 167, 1140 patient days) to that in PILOT (n = 2083, 8355 patient days). RESULTS: Spontaneous awakening trial safety screens were done in all 1140 ABC patient-days on sedation and/or analgesia and in 3889 of 4228 (92%) in PILOT. Spontaneous awakening trial safety screens were passed in 939 of 1140 (82%) instances in ABC versus only 1897 of 3889 (49%) in PILOT. Interestingly, SAT was performed in ≥95% of passed SAT safety screens in both trials and was passed in 837 of 895 (94%) in ABC versus 1145 of 1867 (61%) in PILOT. SBT safety screens were performed in all 983 ABC instances and 8031 of 8370 (96%) in PILOT. SBT safety screens were passed in 647 of 983 (66%) in ABC versus 4475 of 8031 (56%) in PILOT. Spontaneous breathing trial was performed in ≥93% of passed SBT safety screens in both trials and was passed in 319 of 603 (53%) in ABC versus 3337 of 4454 (75%) in PILOT. CONCLUSION: This study compared SAT/SBT conduction in an ideal setting to real-world practice, 13 years later. Performance of SAT/SBT safety screens, SATs, and SBTs between a definitive clinical trial (ABC) as compared to current clinical care (PILOT) remained high.

Cefepime vs Piperacillin-Tazobactam in Adults Hospitalized With Acute Infection: The ACORN Randomized Clinical Trial.

Importance: Cefepime and piperacillin-tazobactam are commonly administered to hospitalized adults for empirical treatment of infection. Although piperacillin-tazobactam has been hypothesized to cause acute kidney injury and cefepime has been hypothesized to cause neurological dysfunction, their comparative safety has not been evaluated in a randomized clinical trial. Objective: To determine whether the choice between cefepime and piperacillin-tazobactam affects the risks of acute kidney injury or neurological dysfunction. Design, Setting, and Participants: The Antibiotic Choice on Renal Outcomes (ACORN) randomized clinical trial compared cefepime vs piperacillin-tazobactam in adults for whom a clinician initiated an order for antipseudomonal antibiotics within 12 hours of presentation to the hospital in the emergency department or medical intensive care unit at an academic medical center in the US between November 10, 2021, and October 7, 2022. The final date of follow-up was November 4, 2022. Interventions: Patients were randomized in a 1:1 ratio to cefepime or piperacillin-tazobactam. Main Outcomes and Measures: The primary outcome was the highest stage of acute kidney injury or death by day 14, measured on a 5-level ordinal scale ranging from no acute kidney injury to death. The 2 secondary outcomes were the incidence of major adverse kidney events at day 14 and the number of days alive and free of delirium and coma within 14 days. Results: There were 2511 patients included in the primary analysis (median age, 58 years [IQR, 43-69 years]; 42.7% were female; 16.3% were Non-Hispanic Black; 5.4% were Hispanic; 94.7% were enrolled in the emergency department; and 77.2% were receiving vancomycin at enrollment). The highest stage of acute kidney injury or death was not significantly different between the cefepime group and the piperacillin-tazobactam group; there were 85 patients (n = 1214; 7.0%) in the cefepime group with stage 3 acute kidney injury and 92 (7.6%) who died vs 97 patients (n = 1297; 7.5%) in the piperacillin-tazobactam group with stage 3 acute kidney injury and 78 (6.0%) who died (odds ratio, 0.95 [95% CI, 0.80 to 1.13], P = .56). The incidence of major adverse kidney events at day 14 did not differ between groups (124 patients [10.2%] in the cefepime group vs 114 patients [8.8%] in the piperacillin-tazobactam group; absolute difference, 1.4% [95% CI, -1.0% to 3.8%]). Patients in the cefepime group experienced fewer days alive and free of delirium and coma within 14 days (mean [SD], 11.9 [4.6] days vs 12.2 [4.3] days in the piperacillin-tazobactam group; odds ratio, 0.79 [95% CI, 0.65 to 0.95]). Conclusions and Relevance: Among hospitalized adults in this randomized clinical trial, treatment with piperacillin-tazobactam did not increase the incidence of acute kidney injury or death. Treatment with cefepime resulted in more neurological dysfunction. Trial Registration: ClinicalTrials.gov Identifier: NCT05094154.

Protocol and statistical analysis plan for the Mode of Ventilation During Critical IllnEss (MODE) trial.

Introduction: For every critically ill adult receiving invasive mechanical ventilation, clinicians must select a mode of ventilation. The mode of ventilation determines whether the ventilator directly controls the tidal volume or the inspiratory pressure. Newer hybrid modes allow clinicians to set a target tidal volume, for which the ventilator controls and adjusts the inspiratory pressure. A strategy of low tidal volumes and low plateau pressure improves outcomes, but the optimal mode to achieve these targets is not known. Methods and analysis: The Mode of Ventilation During Critical Illness (MODE) trial is a cluster-randomized, multiple-crossover pilot trial being conducted in the medical intensive care unit (ICU) at an academic center. The MODE trial compares the use of volume control, pressure control, and adaptive pressure control. The study ICU is assigned to a single ventilator mode (volume control versus pressure control versus adaptive pressure control) for continuous mandatory ventilation during each 1-month study block. The assigned mode switches every month in a randomly generated sequence. The primary outcome is ventilator-free days (VFDs) to study day 28, defined as the number of days alive and free of invasive mechanical ventilation from the final receipt of mechanical ventilation to 28 days after enrollment. Enrollment began November 1, 2022 and will end on July 31, 2023. Ethics and dissemination: The trial was approved by the Vanderbilt University Medical Center institutional review board (IRB# 220446). Results of this study will be submitted to a peer-reviewed journal and presented at scientific conferences. Trial registration number: The trial was registered with clinicaltrials.gov on October 3, 2022, prior to initiation of patient enrollment on November 1, 2022 (ClinicalTrials.gov identifier: NCT05563779).

Piperacillin-Tazobactam Versus Anti-Pseudomonal Cephalosporins and Renal and Neurologic Outcomes in Critically Ill Adults: A Secondary Analysis of the SMART Trial.

Background: Prior studies suggest associations between receipt of piperacillin-tazobactam and development of acute kidney injury and receipt of anti-pseudomonal cephalosporins and neurotoxicity. We compared clinically-relevant renal and neurologic outcomes in critically ill patients who received piperacillin-tazobactam versus anti-pseudomonal cephalosporins. Methods: We conducted a secondary analysis of data from the Isotonic Solutions and Major Adverse Renal Events Trial examining patients who received piperacillin-tazobactam or an anti-pseudomonal cephalosporin within 24 h of intensive care unit admission. We performed multivariable analysis using a proportional odds model to examine the association between the first antibiotic received and the outcomes of Major Adverse Kidney Events within 30 days (MAKE30) and days alive and free of delirium and coma to day 28. Results: 3199 were included in the study; 2375 (74%) receiving piperacillin-tazobactam and 824 (26%) receiving anti-pseudomonal cephalosporin. After adjustment for prespecified confounders, initial receipt of piperacillin-tazobactam, compared to anti-pseudomonal cephalosporins, was not associated with higher incidence of MAKE30 (adjusted odds ratio, 1.03; 95% CI, 0.83-1.27; P = .80) but was associated with a greater number of days alive and free of delirium and coma (adjusted odds ratio, 1.18; 95% CI, 1.00-1.38; P = .04). In a sensitivity analysis adjusting for baseline receipt of medications which may impact neuro function, this finding was not significant. Conclusion: Among critically ill adults, receipt of piperacillin-tazobactam was not associated with an increased incidence of death, renal replacement therapy, or persistent renal dysfunction or a greater number of days alive and free of delirium and coma. Randomized trials are needed to inform the choice of antibiotics for empiric treatment infection in critically ill adults.

An International, Multicenter Evaluation of Comprehensive Medication Management by Pharmacists in ICU Recovery Centers.

BACKGROUND: Post-intensive care syndrome (PICS) is defined as a new or worsening impairment in physical, cognitive, or mental health following critical illness. Intensive care unit recovery centers (ICU-RC) are one means to treat patients who have PICS. The purpose of this study is to describe the role of pharmacists in ICU-RCs. RESEARCH QUESTION: What is the number and type of medication interventions made by a pharmacist at an ICU-RC at 12 different centers? STUDY DESIGN AND METHODS: This prospective, observational study was conducted in 12 intensive care units (ICUs)/ICU-RCs between September 2019 and July 2021. A full medication review was conducted by a pharmacist on patients seen at the ICU-RC. RESULTS: 507 patients were referred to the ICU-RC. Of these patients, 474 attended the ICU-RC and 472 had a full medication review performed by a pharmacist. Baseline demographic and hospital course data were obtained from the electronic health record and at the ICU-RC appointment. Pharmacy interventions were made in 397 (84%) patients. The median number of pharmacy interventions per patient was 2 (interquartile range [IQR] = 1,3). Medications were stopped and started in 124 (26%) and 91 (19%) patients, respectively. The number of patients that had a dose decreased and a dose increased was 51 (11%) and 43 (9%), respectively. There was no difference in the median total number of medications that the patient was prescribed at the start and end of the patient visit (10, IQR = 5, 15). Adverse drug event (ADE) preventive measures were implemented in 115 (24%) patients. ADE events were identified in 69 (15%) patients. Medication interactions were identified in 30 (6%) patients. INTERPRETATION: A pharmacist plays an integral role in an ICU-RC resulting in the identification, prevention, and treatment of medication-related problems. This paper should serve as a call to action on the importance of the inclusion of a pharmacist in ICU-RC clinics.

Quantifying Critical Care Pharmacist Interventions in COVID-19.

Purpose/Background: Pharmacists have been shown to play an important role in the medication management of critically ill patients. Pharmacist interventions in the care of critically ill patients with coronavirus disease 2019 (COVID-19) have not been quantitatively described. Methodology: A single center, retrospective, observational study was conducted at Vanderbilt University Medical Center in Nashville, Tennessee. All adult patients admitted to the COVID-19 intensive care unit (ICU) or Medical ICU with a COVID-19 diagnosis between March 1, 2020, and June 30, 2021, were included. All interventions made by pharmacists were documented electronically, collected, categorized, and analyzed. The primary outcome of this study was the median number of interventions by pharmacists per patient. The secondary outcome was the number of different types of interventions performed. Results: A total of 768 patients were included in the analysis. The median age was 63 years old; 63% of patients were male and 71% were Caucasian. Median hospital length of stay (LOS) was 12 days (interquartile range (IQR) 7-21) and ICU LOS was 5 days (IQR 1-11). The median Sequential Organ Failure Assessment score was 4 (IQR 2-7) and Charlson Comorbidity Index was 3 (IQR 2-5). Mortality at 60 days occurred in 352 patients (46%). Pharmacists performed a total of 7027 interventions for 655 patients with a median number of pharmacist interventions per patient of 6 (IQR 3-14). The most common pharmacist interventions were medication discontinuation (24%), completion of components of the ICU liberation bundle (19%), medication dose adjustment (18%), therapeutic drug monitoring (15%), and medication initiation (10%). Conclusions: Pharmacists made multiple interventions related to medication use and management in critically ill patients with COVID-19. This study adds important information of the evolving role clinical pharmacists play in the care of critical illness, specifically during the COVID-19 pandemic.

A pharmacogenetic precision medicine approach to analgesia and sedation optimization in critically ill adults.

Precision medicine is a growing field in critical care. Research increasingly demonstrated pharmacogenomic variability to be an important determinant of analgesic and sedative drug response in the intensive care unit (ICU). Genome-wide association and candidate gene finding studies suggest analgesic and sedatives tailored to an individual's genetic makeup, environmental adaptations, in addition to several other patient- and drug-related factors, will maximize effectiveness and help mitigate harm. However, the number of pharmacogenetic studies in ICU patients remains small and no prospective studies have been published using pharmacogenomic data to optimize analgesic or sedative therapy in critically ill patients. Current recommendations for treating ICU pain and agitation are based on controlled studies having low external validity, including the failure to consider pharmacogenomic factors affecting response. Use of a precision medicine approach to individualize pharmacotherapy focused on optimizing ICU patient comfort and safety may improve the outcomes of critically ill adults. Additionally, benefits and risks of analgesic and/or sedative therapy in an individual may be informed with large, standardized datasets. The purpose of this review was to describe a precision medicine approach focused on optimizing analgesic and sedative therapy in individual ICU patients to optimize clinical outcomes and reduce safety concerns.

Identifying Predictors of Extubation on the day of Passing an SBT in Critically ill Adults.

INTRODUCTION: Many patients who pass a spontaneous awakening trial (SAT) and spontaneous breathing trial (SBT) do not undergo extubation that day. We aimed to identify predictors of extubation on the day of passing an SBT and to develop prediction models for extubation among mechanically ventilated patients. METHODS: In a cohort of mechanically ventilated patients who had passed an SBT in a single, academic medical intensive care unit (ICU) from 2018 to 2019, we developed a logistic regression model for identifying predictors of extubation. RESULTS: Of 745 patients in our study, 77% were extubated the day they passed a SBT. Independent predictors of extubation included higher Richmond Agitation Sedation Scale (RASS) (-2 compared to -4: odds ratio (OR) 1.83, 95% confidence interval (CI) 1.56 to 2.14), receipt of sedation on the day prior (OR 2.12, 95% CI 1.63 to 2.74), absence of diagnosis of sepsis or septic shock (OR 0.77, 95% CI 0.59 to 1), absence of neurological illness (OR 0.59, 95% CI 0.37 to 0.96), indication for intubation of altered mental status, seizure, or agitation (OR 1.67, 95% CI 1.05 to 2.65), and absence of hemodynamic instability or cardiac arrest (OR 0.67, 95% CI 0.47 to 0.95). CONCLUSION AND RELEVANCE: Patients on mechanical ventilation were more likely to be extubated on the day they passed an SBT if they had higher RASS scores, received sedation the day prior, or did not have diagnosis of sepsis, neurological illness, or hemodynamic instability. Future research should attempt to identify and address modifiable risk factors for failure to extubate after passing an SBT.

Patient and caregiver experiences with a telemedicine intensive care unit recovery clinic.

BACKGROUND: Intensive Care Unit Recovery Clinics (ICU-RCs) were founded to address post-intensive care syndrome among ICU survivors. Telemedicine ICU-RCs may facilitate access for more ICU survivors, however, patient and caregiver experiences with telemedicine ICU-RCs have not been explored qualitatively. OBJECTIVE: To explore patient and informal caregiver experiences with a telemedicine ICU-RC. METHODS: Our qualitative exploratory cross-sectional study was guided by qualitative description methodology. Telemedicine ICU-RC visits were conducted at 3- and 12-weeks post-discharge following critical illness. Patients, and caregivers when available, met with an ICU pharmacist, ICU physician, and a neuropsychologist via Zoom. Thereafter, we conducted qualitative (1:1) telephone interviews with 14 patients and 12 caregivers recruited purposefully. Data were analyzed using conventional content analysis. RESULTS: Five themes were identified: (1) general impressions of the intervention; (2) intervention organization and delivery; (3) intervention substance; (4) caregiver participation; and (5) ways to improve the intervention. Participants found the telemedicine delivery acceptable, convenient, time-saving, and conducive to thorough discussions. Participants appreciated the information, reassurance, and validation. Attention to mental health during the visits was strongly endorsed. Caregiver involvement depended on patient self-management and technical ability. Suggestions included scheduling a 1-week post-discharge visit, more follow-up visits, and individualizing content for in-depth discussions, including mental health evaluation. CONCLUSIONS: The study results enhance the understanding of patient and caregiver experiences with a telemedicine ICU-RC. Participants' narratives helped to formulate recommendations to improve telemedicine ICU-RC delivery and content. Acceptability of this intervention indicates the potential for wider implementation of telemedicine ICU-RCs to reach more ICU survivors.

Multidisciplinary ICU Recovery Clinic Visits: A Qualitative Analysis of Patient-Provider Dialogues.

BACKGROUND: Research confirms the heterogeneous nature of patient challenges during recovery from the ICU and supports the need for modifying care experiences, but few data are available to guide clinicians seeking to support patients' individual recovery trajectories. RESEARCH QUESTION: What is the content of patient-provider dialogues in a telemedicine multidisciplinary ICU recovery clinic (ICU-RC)? STUDY DESIGN AND METHODS: We conducted a qualitative descriptive study in a telemedicine multidisciplinary ICU-RC at a tertiary academic medical center in the southeastern United States. The sample included 19 patients and 13 caregivers (≥ 18 years of age) attending a telemedicine ICU-RC visit after critical illness resulting from septic shock or ARDS. Patients and caregivers met with an ICU pharmacist, ICU physician, and a psychologist via a secure web-conferencing platform for 33 ICU-RC visits within 12 weeks of hospital discharge. Telemedicine ICU-RC visits were audio-recorded and transcribed verbatim for analysis. A coding system was developed using iterative inductive and deductive approaches. RESULTS: Two themes were identified from the patient-provider dialogue: (1) problem identification and (2) problem-solving strategies. We identified five subthemes that capture the types of problems identified: health status, mental health and cognition, medication management, health-care access and navigation, and quality of life. Problem-solving subthemes included facilitating care coordination and transitions, providing education, and giving constructive feedback and guidance. INTERPRETATION: Patients surviving a critical illness experience a complexity of problems that may be addressed best by a multidisciplinary ICU-RC. Through analysis of our telemedicine ICU-RC dialogues, we were able to identify problems and solutions to address challenges during a critical transitional phase of ICU recovery. TRIAL REGISTRY: ClinicalTrials.gov; No.: NCT03926533; URL: www. CLINICALTRIALS: gov.

Factors Influencing Influenza and COVID-19 Vaccine Decision-Making in the Post-ICU Period: A Secondary Analysis.

BACKGROUND: The introduction of COVID-19 vaccines exposed volatility and hesitancy around vaccines. Some health care models, including ICU recovery clinics (ICU-RCs), are structured to provide vaccine counseling. However, information regarding provider and patient vaccine conversations is limited in this postacute setting. RESEARCH QUESTION: What factors influence the decision-making process of patients who have survived an ICU stay surrounding influenza and COVID-19 vaccination? STUDY DESIGN AND METHODS: To understand further vaccine perceptions after critical illness, a secondary qualitative thematic analysis was performed using transcripts from a randomized controlled trial designed to develop and refine a telemedicine approach to ICU recovery. Thirty-three ICU-RC visits with 19 adult patients and 13 caregivers were conducted within 12 weeks of hospital discharge. The analysis was guided by the theory of planned behavior (TPB). RESULTS: Five themes were elicited from the data. The first four themes arose from the TPB: (1) behavioral and attitudinal beliefs (not being susceptible to the flu, concerns about the COVID-19 vaccine causing fertility issues, and not being tested enough), (2) normative beliefs (everyone they know is getting the influenza vaccine so they are, too), (3) control vaccine beliefs (patients are more likely to get the COVID-19 vaccine if it is easy to obtain), and (4) intention to vaccinate. Another theme not related to the TPB arose and could contribute to vaccine intent and behavior: (5) health team engagement with patients and caregivers (allowing for ICU clinicians to correct vaccine misinformation in real time). INTERPRETATION: Using the information learned in our study, the period after critical illness or other acute illness events may be an especially fruitful target for designing an action plan for improving public trust in vaccines and improving overall completion rates; however, further research is needed. TRIAL REGISTRY: ClinicalTrials.gov; No.: NCT03926533; URL: www.clinicaltrials.gov.

Oxygen-Saturation Targets for Critically Ill Adults Receiving Mechanical Ventilation.

BACKGROUND: Invasive mechanical ventilation in critically ill adults involves adjusting the fraction of inspired oxygen to maintain arterial oxygen saturation. The oxygen-saturation target that will optimize clinical outcomes in this patient population remains unknown. METHODS: In a pragmatic, cluster-randomized, cluster-crossover trial conducted in the emergency department and medical intensive care unit at an academic center, we assigned adults who were receiving mechanical ventilation to a lower target for oxygen saturation as measured by pulse oximetry (Spo2) (90%; goal range, 88 to 92%), an intermediate target (94%; goal range, 92 to 96%), or a higher target (98%; goal range, 96 to 100%). The primary outcome was the number of days alive and free of mechanical ventilation (ventilator-free days) through day 28. The secondary outcome was death by day 28, with data censored at hospital discharge. RESULTS: A total of 2541 patients were included in the primary analysis. The median number of ventilator-free days was 20 (interquartile range, 0 to 25) in the lower-target group, 21 (interquartile range, 0 to 25) in the intermediate-target group, and 21 (interquartile range, 0 to 26) in the higher-target group (P = 0.81). In-hospital death by day 28 occurred in 281 of the 808 patients (34.8%) in the lower-target group, 292 of the 859 patients (34.0%) in the intermediate-target group, and 290 of the 874 patients (33.2%) in the higher-target group. The incidences of cardiac arrest, arrhythmia, myocardial infarction, stroke, and pneumothorax were similar in the three groups. CONCLUSIONS: Among critically ill adults receiving invasive mechanical ventilation, the number of ventilator-free days did not differ among groups in which a lower, intermediate, or higher Spo2 target was used. (Supported by the National Heart, Lung, and Blood Institute and others; PILOT ClinicalTrials.gov number, NCT03537937.).

Detecting Drug-Drug Interactions in COVID-19 Patients.

COVID-19 patients with multiple comorbid illnesses are more likely to be using polypharmacy to treat their COVID-19 disease and comorbid conditions. Previous literature identified several DDIs in COVID-19 patients; however, various DDIs are unrecognized. This study aims to discover novel DDIs by conducting comprehensive research on the FDA Adverse Event Reporting System (FAERS) data from January 2020 to March 2021. We applied seven algorithms to discover DDIs. In addition, the Liverpool database containing DDI confirmed by clinical trials was used as a gold standard to determine novel DDIs in COVID-19 patients. The seven models detected 2,516 drug-drug pairs having adverse events (AEs), 49 out of which were confirmed by the Liverpool database. The remaining 2,467 drug pairs tested to be significant by the seven models can be candidate DDIs for clinical trial hypotheses. Thus, the FAERS database, along with informatics approaches, provides a novel way to select candidate drug-drug pairs to be examined in COVID-19 patients.

Practices in sedation, analgesia, mobilization, delirium, and sleep deprivation in adult intensive care units (SAMDS-ICU): an international survey before and during the COVID-19 pandemic.

BACKGROUND: Since the publication of the 2018 Clinical Guidelines about sedation, analgesia, delirium, mobilization, and sleep deprivation in critically ill patients, no evaluation and adequacy assessment of these recommendations were studied in an international context. This survey aimed to investigate these current practices and if the COVID-19 pandemic has changed them. METHODS: This study was an open multinational electronic survey directed to physicians working in adult intensive care units (ICUs), which was performed in two steps: before and during the COVID-19 pandemic. RESULTS: We analyzed 1768 questionnaires and 1539 (87%) were complete. Before the COVID-19 pandemic, we received 1476 questionnaires and 292 were submitted later. The following practices were observed before the pandemic: the Visual Analog Scale (VAS) (61.5%), the Behavioral Pain Scale (BPS) (48.2%), the Richmond Agitation Sedation Scale (RASS) (76.6%), and the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) (66.6%) were the most frequently tools used to assess pain, sedation level, and delirium, respectively; midazolam and fentanyl were the most frequently used drugs for inducing sedation and analgesia (84.8% and 78.3%, respectively), whereas haloperidol (68.8%) and atypical antipsychotics (69.4%) were the most prescribed drugs for delirium treatment; some physicians regularly prescribed drugs to induce sleep (19.1%) or ordered mechanical restraints as part of their routine (6.2%) for patients on mechanical ventilation; non-pharmacological strategies were frequently applied for pain, delirium, and sleep deprivation management. During the COVID-19 pandemic, the intensive care specialty was independently associated with best practices. Moreover, the mechanical ventilation rate was higher, patients received sedation more often (94% versus 86.1%, p < 0.001) and sedation goals were discussed more frequently in daily rounds. Morphine was the main drug used for analgesia (77.2%), and some sedative drugs, such as midazolam, propofol, ketamine and quetiapine, were used more frequently. CONCLUSIONS: Most sedation, analgesia and delirium practices were comparable before and during the COVID-19 pandemic. During the pandemic, the intensive care specialty was a variable that was independently associated with the best practices. Although many findings are in accordance with evidence-based recommendations, some practices still need improvement.