Margaret A. Pisani

Delirium in the Intensive Care Unit: Occurrence and Clinical Course in Older Patients

OBJECTIVES: To describe the occurrence of delirium in a cohort of older medical intensive care unit (ICU) patients and its short‐term duration in the hospital and to determine the association between preexisting dementia and the occurrence of delirium.

Days of Delirium Are Associated with 1-Year Mortality in an Older Intensive Care Unit Population

RATIONALE Delirium is a frequent occurrence in older intensive care unit (ICU) patients, but the importance of the duration of delirium in contributing to adverse long-term outcomes is unclear. OBJECTIVES To examine the association of the number of days of ICU delirium with mortality in an older patient population. METHODS We performed a prospective cohort study in a 14-bed ICU in an urban acute care hospital. The patient population comprised 304 consecutive admissions 60 years of age and older. MEASUREMENTS AND MAIN RESULTS The main outcome was 1-year mortality after ICU admission. Patients were assessed daily for delirium with the Confusion Assessment Method for the ICU and a validated chart review method. The median duration of ICU delirium was 3 days (range, 1-46 d). During the follow-up period, 153 (50%) patients died. After adjusting for relevant covariates, including age, severity of illness, comorbid conditions, psychoactive medication use, and baseline cognitive and functional status, the number of days of ICU delirium was significantly associated with time to death within 1 year post-ICU admission (hazard ratio, 1.10; 95% confidence interval, 1.02-1.18). CONCLUSIONS Number of days of ICU delirium was associated with higher 1-year mortality after adjustment for relevant covariates in an older ICU population. Investigations should be undertaken to reduce the number of days of ICU delirium and to study the impact of this reduction on important health outcomes, including mortality and functional and cognitive status.

Benzodiazepine and opioid use and the duration of intensive care unit delirium in an older population.

Objective:There is a high prevalence of delirium in older medical intensive care unit (ICU) patients and delirium is associated with adverse outcomes. We need to identify modifiable risk factors for delirium, such as medication use, in the ICU. The objective of this study was to examine the impact of benzodiazepine or opioid use on the duration of ICU delirium in an older medical population. Design:Prospective cohort study. Setting:Fourteen-bed medical intensive care unit in an urban university teaching hospital. Patients:304 consecutive admissions age 60 and older. Interventions:None. Main Outcome Measurements:The main outcome measure was duration of ICU delirium, specifically the first episode of ICU delirium. Patients were assessed daily for delirium with the Confusion Assessment Method for the ICU and a validated chart review method. Our main predictor was receiving benzodiazepines or opioids during ICU stay. A multivariable model was developed using Poisson rate regression. Results:Delirium occurred in 239 of 304 patients (79%). The median duration of ICU delirium was 3 days with a range of 1–33 days. In a multivariable regression model, receipt of a benzodiazepine or opioid (rate ratio [RR] 1.64, 95% confidence interval [CI] 1.27–2.10) was associated with increased delirium duration. Other variables associated with delirium duration in this analysis include preexisting dementia (RR 1.19, 95% CI 1.07–1.33), receipt of haloperidol (RR 1.35, 95% CI 1.21–1.50), and severity of illness (RR 1.01, 95% CI 1.00–1.02). Conclusions:The use of benzodiazepines or opioids in the ICU is associated with longer duration of a first episode of delirium. Receipt of these medications may represent modifiable risk factors for delirium. Clinicians caring for ICU patients should carefully evaluate the need for benzodiazepines, opioids, and haloperidol.

Validating Smoking Data From the Veteran’s Affairs Health Factors Dataset, an Electronic Data Source

INTRODUCTION We assessed smoking data from the Veterans Health Administration (VHA) electronic medical record (EMR) Health Factors dataset. METHODS To assess the validity of the EMR Health Factors smoking data, we first created an algorithm to convert text entries into a 3-category smoking variable (never, former, and current). We compared this EMR smoking variable to 2 different sources of patient self-reported smoking survey data: (a) 6,816 HIV-infected and -uninfected participants in the 8-site Veterans Aging Cohort Study (VACS-8) and (b) a subset of 13,689 participants from the national VACS Virtual Cohort (VACS-VC), who also completed the 1999 Large Health Study (LHS) survey. Sensitivity, specificity, and kappa statistics were used to evaluate agreement of EMR Health Factors smoking data with self-report smoking data. RESULTS For the EMR Health Factors and VACS-8 comparison of current, former, and never smoking categories, the kappa statistic was .66. For EMR Health Factors and VACS-VC/LHS comparison of smoking, the kappa statistic was .61. CONCLUSIONS Based on kappa statistics, agreement between the EMR Health Factors and survey sources is substantial. Identification of current smokers nationally within the VHA can be used in future studies to track smoking status over time, to evaluate smoking interventions, and to adjust for smoking status in research. Our methodology may provide insights for other organizations seeking to use EMR data for accurate determination of smoking status.

Functional trajectories among older persons before and after critical illness.

IMPORTANCE Little is known about functional trajectories of older persons in the year before and after admission to the intensive care unit (ICU) or how pre-ICU functional trajectories affect post-ICU functional trajectories and death. OBJECTIVES To characterize functional trajectories in the year before and after ICU admission and to evaluate the associations among pre-ICU functional trajectories and post-ICU functional trajectories, short-term mortality, and long-term mortality. DESIGN, SETTING, AND PARTICIPANTS Prospective cohort study of 754 community-dwelling persons 70 years or older, conducted between March 23, 1998, and December 31, 2012, in greater New Haven, Connecticut. The analytic sample included 291 participants who had at least 1 admission to an ICU through December 2011. MAIN OUTCOMES AND MEASURES Functional trajectories in the year before and after an ICU admission based on 13 basic, instrumental, and mobility activities. Additional outcomes included short-term (30 day) and long-term (1 year) mortality. RESULTS The mean (SD) age of participants was 83.7 (5.5) years. Three distinct pre-ICU functional trajectories identified were minimal disability (29.6%), mild to moderate disability (44.0%), and severe disability (26.5%). Seventy participants (24.1%) experienced early death, defined as death in the hospital (50 participants [17.2%]) or death after hospital discharge but within 30 days of admission (20 participants [6.9%]). Among the remaining 221 participants, 3 distinct post-ICU functional trajectories identified were minimal disability (20.8%), mild to moderate disability (28.1%), and severe disability (51.1%). More than half of the participants (53.4%) experienced functional decline or early death after critical illness. The pre-ICU functional trajectories of mild to moderate disability and severe disability were associated with more than double (adjusted hazard ratio [HR], 2.41; 95% CI, 1.29-4.50) and triple (adjusted HR, 3.84; 95% CI, 1.84-8.03) the risk of death within 1 year of ICU admission, respectively. Other factors associated with 1-year mortality included ICU length of stay (adjusted HR, 1.03; 95% CI, 1.00-1.05), mechanical ventilation (adjusted HR, 2.89; 95% CI, 1.91-4.37), and shock (adjusted HR, 2.68; 95% CI, 1.63-4.38). CONCLUSIONS AND RELEVANCE Among older persons with critical illness, more than half died within 1 month or experienced significant functional decline over the following year, with particularly poor outcomes in those who had high levels of premorbid disability. These results may help to inform discussions about prognosis and goals of care before and during critical illness.

Sleep in the Intensive Care Unit

Sleep is an important physiologic process, and lack of sleep is associated with a host of adverse outcomes. Basic and clinical research has documented the important role circadian rhythm plays in biologic function. Critical illness is a time of extreme vulnerability for patients, and the important role sleep may play in recovery for intensive care unit (ICU) patients is just beginning to be explored. This concise clinical review focuses on the current state of research examining sleep in critical illness. We discuss sleep and circadian rhythm abnormalities that occur in ICU patients and the challenges to measuring alterations in circadian rhythm in critical illness and review methods to measure sleep in the ICU, including polysomnography, actigraphy, and questionnaires. We discuss data on the impact of potentially modifiable disruptors to patient sleep, such as noise, light, and patient care activities, and report on potential methods to improve sleep in the setting of critical illness. Finally, we review the latest literature on sleep disturbances that persist or develop after critical illness.

Cognitive impairment in the intensive care unit

Delirium is a frequent complication in older patients in the ICU and often persists beyond their ICU stay. Delirium in older persons in the ICU is a dynamic and complex process. There is a high prevalence of pre-existing cognitive impairment in patients who are admitted to the medical ICU. This pre-existing cognitive impairment is an important predisposing risk factor for the development of delirium during and after the ICU stay. Given the high rates of delirium in the ICU that range from 50% to 80% (see references [27, 28, 34]), future studies are urgently needed to examine risk factors for delirium in the ICU setting, such as examining the impact of psychoactive medication use on delirium rates and persistence in the ICU setting. Moreover, studies that examine the impact of delirium prevention in the ICU on rates of delirium, duration and persistence of delirium, and long-term cognitive and functional outcomes post-ICU stay are greatly needed.

Screening for Preexisting Cognitive Impairment in Older Intensive Care Unit Patients: Use of Proxy Assessment

OBJECTIVES: To determine the prevalence of preexisting cognitive impairment (CI) in patients admitted to the medical intensive care unit (ICU) and compare two different proxy measures of preexisting CI in ICU patients.

Analytic Reviews: Considerations in Caring for the Critically Ill Older Patient:

People over age 65 are the fastest growing segment of the population and account for 42% to 52% of the intensive care unit admissions in the United States. There are many physiologic changes that occur with aging which can impact on both the presentation and management of older patients with critical illness. Older patients have an increased risk for the development of sepsis, and age itself impacts on outcomes related to sepsis. Delirium is also very prevalent among older intensive care unit patients and is associated with adverse outcomes. While outcome studies suggest that chronologic age itself is not a risk factor for poor outcomes after adjusting for severity of illness, older patients clearly have physiologic changes which need to be considered when providing critical care. This article will review important physiologic changes of aging, as well as sepsis and delirium and outcomes of older ICU patients.

Risk factors for hospitalization and medical intensive care unit (MICU) admission among HIV infected Veterans

Objective:With improved survival of HIV-infected persons on antiretroviral therapy and growing prevalence of non-AIDS diseases, we asked whether the VACS Index, a composite measure of HIV-associated and general organ dysfunction predictive of all-cause mortality, predicts hospitalization and medical intensive care unit (MICU) admission. We also asked whether AIDS and non-AIDS conditions increased risk after accounting for VACS Index score. Methods:We analyzed data from the Veterans Aging Cohort Study (VACS), a prospective study of HIV-infected Veterans receiving care between 2002 and 2008. Data were obtained from the electronic medical record, VA administrative databases, and patient questionnaires and were used to identify comorbidities and calculate baseline VACS Index scores. The primary outcome was first hospitalization within 2 years of VACS enrollment. We used multivariable Cox regression to determine risk factors associated with hospitalization and logistic regression to determine risk factors for MICU admission, given hospitalization. Results:Of 3410 patients, 1141 were hospitalized within 2 years; 203 (17.8%)/1141 patients included an MICU admission. Median VACS Index scores were 25 (no hospitalization), 34 (hospitalization only), and 51 (MICU). In adjusted analyses, a 5-point increment in VACS Index score was associated with 10% higher risk of hospitalization and MICU admission. In addition to VACS Index score, Hispanic ethnicity, current smoking, hazardous alcohol use, chronic obstructive pulmonary disease, hypertension, diabetes, and prior AIDS-defining event predicted hospitalization. Among those hospitalized, VACS Index score, cardiac disease, and prior cancer predicted MICU admission. Conclusions:The VACS Index predicted hospitalization and MICU admission as did current smoking, hazardous alcohol use, and AIDS and certain non-AIDS diagnoses.