Guideline Alignment and Medication Concordance in COPD.

BACKGROUND: Provider adherence to clinical treatment guidelines in COPD is low. However, for patients to receive guideline-aligned care, providers not only must prescribe guideline-aligned care, but also must communicate that regimen successfully to patients to ensure medication concordance. The rate of medication concordance between patients and providers and its impact on clinical management is unknown in COPD. RESEARCH QUESTION: To examine rates of guideline alignment and medication concordance and to identify patient-level factors that place patients at risk for these types of poor disease management outcomes. STUDY DESIGN AND METHODS: This study was a secondary data analysis of the Medication Adherence Research in COPD study (2017-2023). Participants were categorized into 2017 Global Initiative for Chronic Obstructive Lung Disease (GOLD) stage. Medication regimens were classified as aligned or nonaligned with 2017 GOLD guidelines. Nonaligned regimens were stratified further into overuse and underuse categories. Medication concordance between provider-reported and participant-reported regimens was determined. Factors associated with guideline alignment and medication concordance were evaluated using logistic regression. RESULTS: Of 191 participants, 51% of provider-reported regimens were guideline aligned, with 86% of nonaligned regimens reflecting overuse with an inhaled corticosteroid (ICS). Thirty-eight percent of participants reported different regimens than their providers, of which > 80% reflected participants not reporting medications their providers reported prescribing. Participants did not report long-acting muscarinic antagonists and long-acting beta-agonists at similar rates as ICSs. Greater symptom burden and absence of a pulmonologist on the care team were associated with both guideline misalignment and medication discordance. Cognitive impairment and Black race additionally were associated with medication discordance. INTERPRETATION: Guideline misalignment and medication discordance were common and were driven by overuse of ICSs and unreported medications, respectively. The patient-level factors associated with medication discordance highlight the importance of improving patient-provider communication to improve clinical management in COPD.

Malnutrition and pectoralis muscle index in medical intensive care unit patients: A matched cohort study.

BACKGROUND: Muscle assessment is an important component of nutrition assessment. The Global Leadership Initiative on Malnutrition (GLIM) consortium recently underscored the need for more objective muscle assessment methods in clinical settings. Various assessment techniques are available; however, many have limitations in clinical populations. Computed tomography (CT) scans, obtained for diagnostic reasons, could serve multiple purposes, including muscle measurement for nutrition assessment. Although CT scans of the chest are commonly performed clinically, there is little research surrounding the utility of pectoralis muscle measurements in nutrition assessment. The primary aim was to determine whether CT-derived measures of pectoralis major cross-sectional area (PMA) and quality (defined as mean pectoralis major Hounsfield units [PMHU]) could be used to identify malnutrition in patients who are mechanically ventilated in an intensive care unit (ICU). A secondary aim was to evaluate the relationship between these measures and clinical outcomes in this population. METHODS: A retrospective analysis was conducted on 33 pairs of age- and sex-matched adult patients who are being mechanically ventilated in the ICU. Patients were grouped by nutrition status. Analyses were performed to determine differences in PMA and mean PMHU between groups. Associations between muscle and clinical outcomes were also investigated. RESULTS: Compared with nonmalnourished controls, malnourished patients had a significantly lower PMA (P = 0.001) and pectoralis major (PM) index (PMA/height in m2; P = 0.001). No associations were drawn between PM measures and clinical outcomes. CONCLUSION: These findings regarding CT PM measures lay the groundwork for actualizing the GLIM call to action to validate quantitative, objective muscle assessment methods in clinical settings.

Assessing the effects of therapeutic combinations on SARS-CoV-2 infected patient outcomes: A big data approach.

BACKGROUND: The COVID-19 pandemic has demonstrated the need for efficient and comprehensive, simultaneous assessment of multiple combined novel therapies for viral infection across the range of illness severity. Randomized Controlled Trials (RCT) are the gold standard by which efficacy of therapeutic agents is demonstrated. However, they rarely are designed to assess treatment combinations across all relevant subgroups. A big data approach to analyzing real-world impacts of therapies may confirm or supplement RCT evidence to further assess effectiveness of therapeutic options for rapidly evolving diseases such as COVID-19. METHODS: Gradient Boosted Decision Tree, Deep and Convolutional Neural Network classifiers were implemented and trained on the National COVID Cohort Collaborative (N3C) data repository to predict the patients' outcome of death or discharge. Models leveraged the patients' characteristics, the severity of COVID-19 at diagnosis, and the calculated proportion of days on different treatment combinations after diagnosis as features to predict the outcome. Then, the most accurate model is utilized by eXplainable Artificial Intelligence (XAI) algorithms to provide insights about the learned treatment combination impacts on the model's final outcome prediction. RESULTS: Gradient Boosted Decision Tree classifiers present the highest prediction accuracy in identifying patient outcomes with area under the receiver operator characteristic curve of 0.90 and accuracy of 0.81 for the outcomes of death or sufficient improvement to be discharged. The resulting model predicts the treatment combinations of anticoagulants and steroids are associated with the highest probability of improvement, followed by combined anticoagulants and targeted antivirals. In contrast, monotherapies of single drugs, including use of anticoagulants without steroid or antivirals are associated with poorer outcomes. CONCLUSIONS: This machine learning model by accurately predicting the mortality provides insights about the treatment combinations associated with clinical improvement in COVID-19 patients. Analysis of the model's components suggests benefit to treatment with combination of steroids, antivirals, and anticoagulant medication. The approach also provides a framework for simultaneously evaluating multiple real-world therapeutic combinations in future research studies.

Community risks for SARS-CoV-2 infection among fully vaccinated US adults by rurality: A retrospective cohort study from the National COVID Cohort Collaborative.

BACKGROUND: While COVID-19 vaccines reduce adverse outcomes, post-vaccination SARS-CoV-2 infection remains problematic. We sought to identify community factors impacting risk for breakthrough infections (BTI) among fully vaccinated persons by rurality. METHODS: We conducted a retrospective cohort study of US adults sampled between January 1 and December 20, 2021, from the National COVID Cohort Collaborative (N3C). Using Kaplan-Meier and Cox-Proportional Hazards models adjusted for demographic differences and comorbid conditions, we assessed impact of rurality, county vaccine hesitancy, and county vaccination rates on risk of BTI over 180 days following two mRNA COVID-19 vaccinations between January 1 and September 21, 2021. Additionally, Cox Proportional Hazards models assessed the risk of infection among adults without documented vaccinations. We secondarily assessed the odds of hospitalization and adverse COVID-19 events based on vaccination status using multivariable logistic regression during the study period. RESULTS: Our study population included 566,128 vaccinated and 1,724,546 adults without documented vaccination. Among vaccinated persons, rurality was associated with an increased risk of BTI (adjusted hazard ratio [aHR] 1.53, 95% confidence interval [CI] 1.42-1.64, for urban-adjacent rural and 1.65, 1.42-1.91, for nonurban-adjacent rural) compared to urban dwellers. Compared to low vaccine-hesitant counties, higher risks of BTI were associated with medium (1.07, 1.02-1.12) and high (1.33, 1.23-1.43) vaccine-hesitant counties. Compared to counties with high vaccination rates, a higher risk of BTI was associated with dwelling in counties with low vaccination rates (1.34, 1.27-1.43) but not medium vaccination rates (1.00, 0.95-1.07). Community factors were also associated with higher odds of SARS-CoV-2 infection among persons without a documented vaccination. Vaccinated persons with SARS-CoV-2 infection during the study period had significantly lower odds of hospitalization and adverse events across all geographic areas and community exposures. CONCLUSIONS: Our findings suggest that community factors are associated with an increased risk of BTI, particularly in rural areas and counties with high vaccine hesitancy. Communities, such as those in rural and disproportionately vaccine hesitant areas, and certain groups at high risk for adverse breakthrough events, including immunosuppressed/compromised persons, should continue to receive public health focus, targeted interventions, and consistent guidance to help manage community spread as vaccination protection wanes.

An ordinal severity scale for COVID-19 retrospective studies using Electronic Health Record data.

Objectives: Although the World Health Organization (WHO) Clinical Progression Scale for COVID-19 is useful in prospective clinical trials, it cannot be effectively used with retrospective Electronic Health Record (EHR) datasets. Modifying the existing WHO Clinical Progression Scale, we developed an ordinal severity scale (OS) and assessed its usefulness in the analyses of COVID-19 patient outcomes using retrospective EHR data. Materials and Methods: An OS was developed to assign COVID-19 disease severity using the Observational Medical Outcomes Partnership common data model within the National COVID Cohort Collaborative (N3C) data enclave. We then evaluated usefulness of the developed OS using heterogenous EHR data from January 2020 to October 2021 submitted to N3C by 63 healthcare organizations across the United States. Principal component analysis (PCA) was employed to characterize changes in disease severity among patients during the 28-day period following COVID-19 diagnosis. Results: The data set used in this analysis consists of 2 880 456 patients. PCA of the day-to-day variation in OS levels over the totality of the 28-day period revealed contrasting patterns of variation in disease severity within the first and second 14 days and illustrated the importance of evaluation over the full 28-day period. Discussion: An OS with well-defined, robust features, based on discrete EHR data elements, is useful for assessments of COVID-19 patient outcomes, providing insights on the progression of COVID-19 disease severity over time. Conclusions: The OS provides a framework that can facilitate better understanding of the course of acute COVID-19, informing clinical decision-making and resource allocation.

Intubation Timing in COVID-19 Based on ROX Index and Association With Patient Outcomes.

BACKGROUND: Timing of intubation in COVID-19 is controversial. We sought to determine the association of the ROX (Respiratory rate-OXygenation) index defined as [Formula: see text] divided by [Formula: see text] divided by breathing frequency at the time of intubation with clinical outcomes. METHODS: We conducted a retrospective cohort study of patients with COVID-19 who were intubated by using a database composed of electronic health record data from patients with COVID-19 from 62 institutions. Multivariable logistic regression was used to evaluate the impact of ROX index score on mortality. We analyzed the ROX index as a continuous variable as well as a categorical variable by using cutoffs previously described as predicting success with high-flow nasal cannula. RESULTS: Of 1,087 subjects in the analysis group, the median age was 64 years, and more than half had diabetes; 55.2% died, 1.8% were discharged to hospice, 7.8% were discharged to home, 27.3% were discharged to another institution, and 7.8% had another disposition. Increasing age and a longer time from admission to intubation were associated with mortality. After adjusting for sex, race, age, comorbidities, and days from admission to intubation, an increasing ROX index score at the time of intubation was associated with a lower risk of death. In a logistic regression model, each increase in the ROX index score by 1 at the time of intubation was associated with an 8% reduction in odds of mortality (odds ratio 0.92, 95% CI 0.88-0.95). We also found an odds ratio for death of 0.62 (95% CI 0.47-0.81) for subjects with an ROX index score ≥ 4.88 at the time of intubation. CONCLUSIONS: Among a cohort of subjects with COVID-19 who were ultimately intubated, a higher ROX index at the time of intubation was positively associated with survival.

Prevalence and characteristics of starvation-related malnutrition in a mid-Atlantic healthcare system: A cohort study.

BACKGROUND: Malnutrition in the hospital negatively impacts outcomes, including readmissions, mortality, and cost. Starvation-related malnutrition (SRM) is a state of chronic undernutrition with little to no inflammation. Research on SRM within the hospital setting is lacking. Our objective was to determine the prevalence and characteristics of malnutrition within the hospital, focusing on characteristics associated with readmissions in those with SRM. METHODS: We conducted a retrospective cohort study analyzing characteristics of adult in patients with acute disease-related malnutrition (ADM) and chronic disease-related malnutrition (CDM) compared with patients with SRM. Prevalence of all malnutrition types was calculated as the total number of malnourished patients divided by the total number of hospital discharges. Analysis of variance with Tukey post hoc analysis was performed to determine differences between characteristics of patients with SRM and other forms of malnutrition. RESULTS: Total prevalence of malnutrition was 2.8%. Of malnourished patients, 17.6%, 79.9%, and 2.5% had ADM, CDM, and SRM, respectively. Patients with SRM had lower body mass index (BMI) (P < .001) and higher rates of readmission (P = 0.046), infectious disease (P < .001), psychiatric disease (P < .001), and substance abuse (P < .001) than patients with ADM or CDM. Readmitted patients with SRM had lower BMI and higher rates of infection and drug abuse than those without readmission. CONCLUSION: The high incidence of comorbid substance abuse and mental illness in patients with SRM provide important targets for treatment that might reduce readmission and improve outcomes.

Nutritional assessment and comparison of nutritional indices in predicting adverse outcomes in patients undergoing left ventricular assist device implantation.

BACKGROUND: Preoperative malnutrition has been correlated to postoperative complications in patients with advanced heart failure undergoing placement of a left ventricular assist device (LVAD). We sought to determine whether nutritional risk scores could identify a subset of patients with an LVAD who were at high risk of adverse events. METHODS: We conducted a retrospective cohort study of all patients undergoing LVAD placement at a single center. The prognostic nutritional index (PNI), nutritional risk index (NRI), and nutrition risk in the critically ill (NUTRIC) score were calculated retrospectively from data abstracted from chart review. The primary endpoint was a composite of mortality and other adverse events associated with LVAD implantation. We used χ2 or Fisher exact tests to compare these three indices against the primary outcome. RESULTS: A total of 41 patients with a mean age of 57.2 ± 13.7 y and a mean body mass index of 29.3 ± 6.3 kg/m2 underwent LVAD placement between 2011 and 2019. The composite outcome at 1 y occurred in 31 (76%) patients. Preoperatively, 3 patients were identified as at high nutritional risk by the PNI score and 39 by the NRI score but none by the NUTRIC score. Most patients received nutritional interventions. The nutritional risk scores did not differ significantly between patients who experienced the composite outcome and those who did not. CONCLUSIONS: The NRI, NUTRIC, and PNI scores did not identify a subset of patients at high risk for the composite outcome. Further studies are needed to determine how to better assess the true nutritional risk of the LVAD population. However, until better risk stratification is available, all patients with an LVAD should be consider at high risk and given appropriate nutritional interventions.

Use of simulation as a needs assessment to develop a focused team leader training curriculum for resuscitation teams.

BACKGROUND: Many inpatients experience cardiac arrest and mortality in this population is extremely high. Simulation is frequently used to train code teams with the goal of improving these outcomes. A key step in designing such a training curriculum is to perform a needs assessment. We report on the effectiveness of a simulation-based training program for residents designed using unannounced in-situ simulation cardiac arrest data as a needs assessment. METHODS: In order to develop the curriculum for training, a needs assessment was done using in-situ simulation. Prior to instruction, residents were assessed in their ability to lead a simulated resuscitation using a standardized checklist. During the intervention phase, residents participated in didactic and team training. The didactic training consisted of pharmacology review, ACLS update and TeamSTEPPS training. Residents took turns as code team leader in three simulation sessions. Rapid cycle deliberate practice (RCDP) was employed as part of simulation sessions. All residents returned, for post-intervention assessment. Mean pre-post test scores were analyzed to determine if there was a significant difference. RESULTS: Twenty-seven residents participated. Mean pre-training assessment score was 47.6 (95% CI 37.5-57.9). The mean post-training assessment score was 84.4 (95% CI 79.0-89.5). The mean time to defibrillation after pads were placed in scenario with shockable rhythm decreased from 102.2 seconds (95% CI 74.0-130.5) to 56.3 (95% CI 32.7-79.8). CONCLUSION: Using unannounced in-situ cardiac arrest simulations as a needs assessment, a simulation-based training program was developed that significantly improved resident performance as team leader. Future work is needed to determine if this improvement translates into patient benefits and is sustainable. However, in-situ simulation is a promising tool for curriculum development.

Energy balance in obese, mechanically ventilated intensive care unit patients.

OBJECTIVES: The aims of this study were, first, to compare the predicted (calculated) energy requirements based on standard equations with target energy requirement based on indirect calorimetry (IC) in critically ill, obese mechanically ventilated patients; and second, to compare actual energy intake to target energy requirements. METHODS: We conducted a prospective cohort study of mechanically ventilated critically ill patients with body mass index ≥30.0 kg/m2 for whom enteral feeding was planned. Clinical and demographic data were prospectively collected. Resting energy expenditure was measured by open-circuit IC. American Society of Parenteral and Enteral Nutrition (APSPEN)/Society of Critical Care Medicine (SCCM) 2016 equations were used to determine predicted (calculated) energy requirements. Target energy requirements were set at 65% to 70% of measured resting energy expenditure as recommended by ASPEN/SCCM. Nitrogen balance was determined via simultaneous measurement of 24-h urinary nitrogen concentration and protein intake. RESULTS: Twenty-five patients (mean age: 64.5 ± 11.8 y, mean body mass index: 35.2 ± 3.6 kg/m2) underwent IC. The mean predicted energy requirement was 1227 kcal/d compared with mean measured target energy requirement of 1691 kcal/d. Predicted (calculated) energy requirements derived from ASPEN/SCCM equations were less than the target energy requirements in most cases. Actual energy intake from enteral nutrition met 57% of target energy requirements. Protein intake met 25% of target protein requirement and the mean nitrogen balance was -2.3 ± 5.1 g/d. CONCLUSIONS: Predictive equations underestimated target energy needs in this population. Further, we found that feeding to goal was often delayed resulting in failure to meet both protein and energy intake goals.

Community Experience With Acute Respiratory Distress Syndrome in the Prone Position.

Mechanical ventilation in the prone position has been shown to improve outcomes in randomized trials of patients with moderate to severe acute respiratory distress syndrome and is recommended in clinical practice guidelines. However, data is lacking on the results of attempts to implement this practice in the community outside of clinical trials. To describe our early outcomes implementing mechanical ventilation in the prone position. DESIGN: Retrospective cohort study. SETTING: Medical intensive care unit of a large community-based teaching hospital. PARTICIPANTS: All patients ventilated in the prone position between June 2013 and October 2016. MEASUREMENTS AND MAIN RESULTS: We describe patient characteristics, mortality, and frequency of complications (such as skin breakdown and accidental extubation) at our center. Eighty-one patients with a mean age of 55 years underwent mechanical ventilation in the prone position during the study period. Most patients also received vasopressors, neuromuscular blockade, and steroids. Overall mortality was 43%. The duration of the first proning session ranged from 1.5 to 40.5 hours. Mortality was lower (34%) in those ventilated in the prone position for more than 16 hours during the first session. In the 50 patients without treatment limitations, only 14% expired. There were no accidental extubations during prone positioning. Most of those who died had limitations placed on treatment prior to death. CONCLUSIONS: Overall mortality was higher in our cohort than in the randomized trial. However, differences such as lack of stabilization period, different cultures impacting end-of-life decisions, and timing of enrollment in the course of illness limit interpretation of this comparison. This exercise allows identification of areas for future quality improvement efforts such as increasing the duration of some proning sessions. Complications of prone positioning were uncommon.

Association Between Enteral Feeding, Weight Status, and Mortality in a Medical Intensive Care Unit.

BACKGROUND: Clinical practice guidelines recommend enteral nutrition for most patients receiving mechanical ventilation. However, recently published evidence on the effect of enteral nutrition on mortality, particularly for patients who are well nourished, is conflicting. OBJECTIVES: To examine the association between enteral feeding and hospital mortality in critically ill patients receiving mechanical ventilation and to determine if body mass index mediates this relationship. METHODS: A retrospective cohort study of patients receiving mechanical ventilation admitted to a medical intensive care unit in 2013. Demographic and clinical variables were collected. Cox proportional hazards regression was used to examine the relationship between an enteral feeding order and hospital mortality and to determine if the relationship was mediated by body mass index. RESULTS: Of 777 patients who had 811 hospitalizations requiring mechanical ventilation, 182 (23.4%) died in the hospital. A total of 478 patients (61.5%) received an order for enteral tube feeding, which was associated with a lower risk of death (hazard ratio, 0.41; 95% CI, 0.29-0.59). Body mass index did not mediate the relationship between mortality and receipt of an order for enteral feeding. Median stay in the unit was 3.6 days. Most deaths (72.0%) occurred more than 48 hours after admission. CONCLUSION: The finding of a positive association between an order for enteral feeding and survival supports enteral feeding of patients in medical intensive care units. Furthermore, the beneficial effect of enteral feeding appears to apply to patients regardless of body mass index.

Characteristics and Outcomes of Adult Inpatients With Malnutrition.

BACKGROUND: The diagnosis of malnutrition remains controversial. Furthermore, it is unknown if physician diagnosis of malnutrition impacts outcomes. We sought to compare outcomes of patients with physician diagnosed malnutrition to patients recognized as malnourished by registered dietitians (RDs), but not physicians, and to describe the impact of each of 6 criteria on the diagnosis of malnutrition. METHODS: We conducted a retrospective cohort study of adult patients identified as meeting criteria for malnutrition. Pediatric, psychiatric, maternity, and rehabilitation patients were excluded. Patient demographics, clinical data, malnutrition type and criteria, nutrition interventions, and outcomes were abstracted from the electronic medical record. RESULTS: RDs identified malnutrition for 291 admissions during our study period. This represents 4.1% of hospital discharges. Physicians only diagnosed malnutrition on 93 (32%) of these cases. Physicians diagnosed malnutrition in 43% of patients with a body mass index <18.5 but only 26% of patients with body mass index higher than 18.5. Patients with a physician diagnosis had a longer length of stay (mean 14.9 days vs 7.1 days) and were more likely to receive parenteral nutrition (PN) (20.4% vs 4.6%). Of the patients, 62% had malnutrition due to chronic illness. Of the 6 criteria used to identify malnourished patients, weight loss and reduced energy intake were the most common. CONCLUSIONS: Malnutrition is underrecognized by physicians. However, further research is needed to determine if physician recognition and treatment of malnutrition can improve outcomes. The most important criteria for identifying malnourished patients in our cohort were weight loss and reduced energy intake.

Improving Resident Performance Through a Simulated Rapid Response Team: A Pilot Study.

BACKGROUND: The Joint Commission requires hospitals to develop systems in which a team of clinicians can rapidly recognize and respond to changes in a patient's condition. The rapid response team (RRT) concept has been widely adopted as the solution to this mandate. The role of house staff in RRTs and the impact on resident education has been controversial. At Christiana Care Health System, eligible residents in their second through final years lead the RRTs. OBJECTIVE: To evaluate the use of a team-based, interdisciplinary RRT training program for educating and training first-year residents in an effort to improve global RRT performance before residents start their second year. METHODS: This pilot study was administered in 3 phases. Phase 1 provided residents with classroom-based didactic sessions using case-based RRT scenarios. Multiple choice examinations were administered, as well as a confidence survey based on a Likert scale before and after phase 1 of the program. Phase 2 involved experiential training in which residents engaged as mentored participants in actual RRT calls. A qualitative survey was used to measure perceived program effectiveness after phase 2. In phase 3, led by senior residents, simulated RRTs using medical mannequins were conducted. Participants were divided into 5 teams, in which each resident would rotate in the roles of leader, nurse, and respiratory therapist. This phase measured resident performance with regard to medical decision making, data gathering, and team behaviors during the simulated RRT scenarios. Performance was scored by an attending and a senior resident. RESULTS: A total of 18 residents were eligible (N=18) for participation. The average multiple choice test score improved by 20% after didactic training. The average confidence survey score before training was 3.44 out of 5 (69%) and after training was 4.13 (83%), indicating a 14% improvement. High-quality team behaviors correlated with medical decision making (0.92) more closely than did high-quality data gathering (0.11). This difference narrowed during high-pressure scenarios (0.84 and 0.72, respectively). CONCLUSION: Our data suggest that resident training using a team-based, interdisciplinary RRT training program may improve resident education, interdisciplinary team-based dynamics, and global RRT performance. In turn, data gathering and medical decision making may be enhanced, which may result in better patient outcomes during RRT scenarios.

Patterns of opiate, benzodiazepine, and antipsychotic drug dosing in older patients in a medical intensive care unit.

BACKGROUND: Anecdotal observation suggests that older patients in medical intensive care units receive higher doses of psychoactive medications during evening shifts than day and night shifts. OBJECTIVES: To determine the dosing patterns and total doses of fentanyl, lorazepam, and haloperidol according to nursing shift in a cohort of older patients in a medical intensive care unit. METHODS: The sample consisted of 309 patients 60 years and older admitted to the medical intensive care unit at Yale-New Haven Hospital, New Haven, Connecticut. Data on time, dosage, and route of administration of the drugs were collected. Data were analyzed by using a Bayesian random effects Poisson model adjusted for individual heterogeneity, excess zero doses, and important clinical covariates. RESULTS: Mean age of the patients was 75 years; 58% received fentanyl, 55% received lorazepam, and 32% received haloperidol. Although dosing with fentanyl did not differ according to shift, doses of both lorazepam and haloperidol were higher during the evening shifts (4 pm to midnight) than during the day or night shifts. Compared with women, men received higher doses of both haloperidol and lorazepam and variability between shifts was greater. CONCLUSIONS: In this longitudinal, observational sample of older patients, data indicated a positive association between dose levels of lorazepam and haloperidol during the evening nursing shifts relative to other shifts. Further investigation is needed to determine potential causes and to evaluate the impact on outcomes of sleep deprivation and delirium.