Oxygen saturation targets for adults with acute hypoxemia in low and lower-middle income countries: a scoping review with analysis of contextual factors.

Knowing the target oxygen saturation (SpO2) range that results in the best outcomes for acutely hypoxemic adults is important for clinical care, training, and research in low-income and lower-middle income countries (collectively LMICs). The evidence we have for SpO2 targets emanates from high-income countries (HICs), and therefore may miss important contextual factors for LMIC settings. Furthermore, the evidence from HICs is mixed, amplifying the importance of specific circumstances. For this literature review and analysis, we considered SpO2 targets used in previous trials, international and national society guidelines, and direct trial evidence comparing outcomes using different SpO2 ranges (all from HICs). We also considered contextual factors, including emerging data on pulse oximetry performance in different skin pigmentation ranges, the risk of depleting oxygen resources in LMIC settings, the lack of access to arterial blood gases that necessitates consideration of the subpopulation of hypoxemic patients who are also hypercapnic, and the impact of altitude on median SpO2 values. This process of integrating prior study protocols, society guidelines, available evidence, and contextual factors is potentially useful for the development of other clinical guidelines for LMIC settings. We suggest that a goal SpO2 range of 90-94% is reasonable, using high-performing pulse oximeters. Answering context-specific research questions, such as an optimal SpO2 target range in LMIC contexts, is critical for advancing equity in clinical outcomes globally.

Multicenter International Cohort Validation of a Modified Sequential Organ Failure Assessment Score Using the Richmond Agitation-sedation Scale.

OBJECTIVE: In a multicenter, international cohort, we aimed to validate a modified Sequential Organ Failure Assessment (mSOFA) using the Richmond Agitation-Sedation Scale, hypothesized as comparable to the Glasgow Coma Scale (GCS)-based Sequential Organ Failure Assessment (SOFA). SUMMARY BACKGROUND DATA: The SOFA score, whose neurologic component is based on the GCS, can predict intensive care unit (ICU) mortality. But, GCS is often missing in lieu of other assessments, such as the also reliable and validated Richmond Agitation Sedation Scale (RASS). Single-center data suggested an RASS-based SOFA (mSOFA) predicted ICU mortality. METHODS: Our nested cohort within the prospective 2016 Fourth International Study of Mechanical Ventilation contains 4120 ventilated patients with daily RASS and GCS assessments (20,023 patient-days, 32 countries). We estimated GCS from RASS via a proportional odds model without adjustment. ICU mortality logistic regression models and c-statistics were constructed using SOFA (measured GCS) and mSOFA (measured RASS-estimated GCS), adjusted for age, sex, body-mass index, region (Europe, USA-Canada, Latin America, Africa, Asia, Australia-New Zealand), and postoperative status (medical/surgical). RESULTS: Cohort-wide, the mean SOFA=9.4+/-2.8 and mean mSOFA = 10.0+/-2.3, with ICU mortality = 31%. Mean SOFA and mSOFA similarly predicted ICU mortality (SOFA: AUC = 0.784, 95% CI = 0.769-0.799; mSOFA: AUC = 0.778, 95% CI = 0.763-0.793, P = 0.139). Across models, other predictors of mortality included higher age, female sex, medical patient, and African region (all P < 0.001). CONCLUSIONS: We present the first SOFA modification with RASS in a "real-world" international cohort. Estimating GCS from RASS preserves predictive validity of SOFA to predict ICU mortality. Alternative neurologic measurements like RASS can be viably integrated into severity of illness scoring systems like SOFA.

Establishing Medicaid incentives for liberating nursing home patients from ventilators.

BACKGROUND: Chronic ventilator use in Tennessee nursing homes surged following 2010 increases in respiratory care payment rates. Tennessee's Medicaid program implemented multiple policies between 2014 and 2017 to promote ventilator liberation in 11 nursing homes, including quality reporting, on-site monitoring, and pay-for-performance incentives. METHODS: Using repeated cross-sectional analysis of Medicare and Medicaid nursing home claims (2011-2017), hospital discharge records (2010-2017), and nursing home quality reports (2015-2017), we examined how service use changed as Tennessee implemented policies designed to promote ventilator liberation in nursing homes. We measured the annual number of nursing home patients with ventilator-related service use; discharge destination of ventilated inpatients and percent of nursing home patients liberated from ventilators. RESULTS: Between 2011 and 2014, the number of Medicare SNF and Medicaid nursing home patients with ventilator use increased more than sixfold. Among inpatients with prolonged mechanical ventilation, discharges to home decreased as discharges to nursing homes increased. As Tennessee implemented policy changes, ventilator-related service use moderately declined in nursing homes from a peak of 198 ventilated Medicare SNF patients in 2014 to 125 in 2017 and from 182 Medicaid patients with chronic ventilator use in 2014 to 145 patients in 2017. Nursing home weaning rates peaked at 49%-52% in 2015 and 2016, but declined to 26% by late 2017. Median number of days from admission to wean declined from 81 to 37 days. CONCLUSIONS: This value-based approach demonstrates the importance of designing payment models that target key patient outcomes like ventilator liberation.

[Disorientation and delirium assessment : A secondary analysis of a prospective, observational study]. / Bedeutung der Desorientierung bei der Delireinschätzung : Sekundäranalyse einer prospektiven, observationellen Studie.

Disorientation may present as a warning sign of developing delirium. The most commonly used delirium assessment tool in Germany, the Confusion Assessment Method for Intensive Care Unit (CAM-ICU), does not rate "disorientation", since intubated patients cannot communicate verbally. However, the majority of German ICU patients are not orally intubated, so they could be examined for their orientation. This study was carried out to investigate whether the delirium feature "disorientation" in extubated patients yields diverging findings in comparison to the CAM-ICU and whether the sensitivity of the CAM-ICU may be improved when combined with the feature "disorientation" (CAM-IMC). A total of 86 paired assessments were completed in 50 extubated patients. Delirium was found in 19.8% (N = 17). The CAM-ICU had a sensitivity of 71% (95% confidence interval [CI] 44-90%) and a specificity of 100% (95-100%). Disorientation, if taken as the only delirium feature, had a sensitivity of 77% (50-93%) and a specificity of 93% (89-100%). The CAM-IMC reached a sensitivity of 88% (64-99%) and a specificity of 100% (95-100%). The receiver operating characteristics (ROC) analyses found an area under the curve (AUC) of 0.941 (95%CI 0.851-1.000) for the CAM-IMC, which was the highest compared to the other delirium tests (CAM-ICU, AUC 0.853 [0.720-0.986]; disorientation, AUC 0.868 [0.745-0.991]). This research emphasizes the importance of the feature "disorientation" for delirium assessments in patients able to verbally communicate and explains some controversial delirium ratings in daily practice. The CAM-IMC appears to be an attractive tool for delirium assessment in nonintubated patients and deserves further research.

Prospective Validation of the Preschool Confusion Assessment Method for the ICU to Screen for Delirium in Infants Less Than 6 Months Old.

OBJECTIVES: ICU delirium is a predictor of greater morbidity and higher mortality in the pediatric population. The diagnostic obstacles and validity of delirium monitoring among neonates and young infants have yet to be fully delineated. We sought to validate the Preschool Confusion Assessment Method for the ICU in neonates and young infants and determine delirium prevalence in this young population. DESIGN: Prospective cohort study to validate the Preschool Confusion Assessment Method for the ICU for the assessment of ICU delirium in neonates and young infants compared with the reference standard, Child and Adolescent Psychiatry. SETTING: Tertiary medical center PICU, including medical, surgical, and cardiac patients. PARTICIPANTS: Infants less than 6 months old admitted to the PICU regardless of admission diagnosis. MEASUREMENTS AND MAIN RESULTS: We enrolled 49 patients with a median age of 1.8 months (interquartile range, 0.7-4.1 mo), 82% requiring mechanical ventilation. Enrolled patients were assessed for delirium in blinded-fashion by the research team using the Preschool Confusion Assessment Method for the ICU and independently assessed by the psychiatry reference rater using Diagnostic and Statistical Manual of Mental Disorders-5 criteria. A total of 189 paired assessments were completed, and the Preschool Confusion Assessment Method for the ICU performed with a sensitivity of 95% (95% CI, 89-100%), specificity of 81% (68-90%), "negative and positive predictive values" of 97% (94-100%) and 69% (55-79%), respectively, compared with the reference rater. Delirium prevalence was 47%, with higher rates of 61% observed among neonates (< 1 mo old) and 39% among infants 1-6 months old. CONCLUSIONS: The Preschool Confusion Assessment Method for the ICU is a valid screening tool for delirium monitoring in infants less than 6 months old. Delirium screening was feasible in this population despite evolving neurocognition and arousal architecture. ICU delirium was prevalent among infants. The consequence of acute brain dysfunction during crucial neurocognitive development remains unclear. Future studies are necessary to determine the long-term impact of ICU delirium and strategies to reduce associated harm in critically ill infants.

Outcomes, Resource Use, and Financial Costs of Unplanned Extubations in Preterm Infants.

OBJECTIVES: Unplanned extubations (UEs) in adult and pediatric populations are associated with poor clinical outcomes and increased costs. In-hospital outcomes and costs of UE in the NICU are not reported. Our objective was to determine the association of UE with clinical outcomes and costs in very-low-birth-weight infants. METHODS: We performed a retrospective matched cohort study in our level 4 NICU from 2014 to 2016. Very-low-birth-weight infants without congenital anomalies admitted by 72 hours of age, who received mechanical ventilation (MV), were included. Cases (+UE) were matched 1:1 with controls (-UE) on the basis of having an equivalent MV duration at the time of UE in the case, gestational age, and Clinical Risk Index for Babies score. We compared MV days after UE in cases or the equivalent date in controls (postmatching MV), in-hospital morbidities, and hospital costs between the matched pairs using raw and adjusted analyses. RESULTS: Of 345 infants who met inclusion criteria, 58 had ≥1 UE, and 56 out of 58 (97%) were matched with appropriate controls. Postmatching MV was longer in cases than controls (median: 12.5 days; interquartile range [IQR]: 7 to 25.8 vs median 6 days; IQR: 2 to 12.3; adjusted odds ratio: 4.3; 95% confidence interval: 1.9-9.5). Inflation-adjusted total hospital costs were higher in cases (median difference: $49 587; IQR: -15 063 to 119 826; adjusted odds ratio: 3.8; 95% confidence interval: 1.6-8.9). CONCLUSIONS: UEs in preterm infants are associated with worse outcomes and increased hospital costs. Improvements in UE rates in NICUs may improve clinical outcomes and lower hospital costs.

Assessment of Variability in End-of-Life Care Delivery in Intensive Care Units in the United States.

Importance: Overall, 1 of 5 decedents in the United States is admitted to an intensive care unit (ICU) before death. Objective: To describe structures, processes, and variability of end-of-life care delivered in ICUs in the United States. Design, Setting, and Participants: This nationwide cohort study used data on 16 945 adults who were cared for in ICUs that participated in the 68-unit ICU Liberation Collaborative quality improvement project from January 2015 through April 2017. Data were analyzed between August 2018 and June 2019. Main Outcomes and Measures: Published quality measures and end-of-life events, organized by key domains of end-of-life care in the ICU. Results: Of 16 945 eligible patients in the collaborative, 1536 (9.1%) died during their initial ICU stay. Of decedents, 654 (42.6%) were women, 1037 (67.5%) were 60 years or older, and 1088 (70.8%) were identified as white individuals. Wide unit-level variation in end-of-life care delivery was found. For example, the median unit-stratified rate of cardiopulmonary resuscitation avoidance in the last hour of life was 89.5% (interquartile range, 83.3%-96.1%; range, 50.0%-100%). Median rates of patients who were pain free and delirium free in last 24 hours of life were 75.1% (interquartile range, 66.0%-85.7%; range, 0-100%) and 60.0% (interquartile range, 43.7%-85.2%; range, 9.1%-100%), respectively. Ascertainment of an advance directive was associated with lower odds of cardiopulmonary resuscitation in the last hour of life (odds ratio, 0.70; 95% CI, 0.49-0.99; P = .04), and a documented offer or delivery of spiritual support was associated with higher odds of family presence at the time of death (odds ratio, 1.95; 95% CI, 1.37-2.77; P < .001). Death in a unit with an open visitation policy was associated with higher odds of pain in the last 24 hours of life (odds ratio, 2.21; 95% CI, 1.15-4.27; P = .02). Unsupervised cluster analysis revealed 3 mutually exclusive unit-level patterns of end-of-life care delivery among 63 ICUs with complete data. Cluster 1 units (14 units [22.2%]) had the lowest rate of cardiopulmonary resuscitation avoidance but achieved the highest pain-free rate. Cluster 2 (25 units [39.7%]) had the lowest delirium-free rate but achieved high rates of all other end-of-life events. Cluster 3 (24 units [38.1%]) achieved high rates across all favorable end-of-life events. Conclusions and Relevance: In this study, end-of-life care delivery varied substantially among ICUs in the United States, and the patterns of care observed suggest that units can be characterized as higher and lower performing. To achieve optimal care for patients who die in an ICU, future research should target unit-level variation and disseminate the successes of higher-performing units.

Hospitalization, Alzheimer's Disease and Related Neuropathologies, and Cognitive Decline.

OBJECTIVE: To test the hypothesis that Alzheimer's disease and related neuropathologies contribute to the association between hospitalization and cognitive decline in old age. METHODS: As part of a longitudinal clinical-pathologic cohort study, 526 older persons (mean age at death = 90.9 years, 71% female) without dementia at baseline completed annual cognitive testing and were autopsied at death. Hospitalization information was obtained from linked Medicare claims records. Neuropathologic examination assessed ß-amyloid burden, tau tangle density, neocortical Lewy bodies, hippocampal sclerosis, chronic gross and microscopic cerebral infarcts, and transactive response DNA binding protein 43 kDa. RESULTS: Over a mean of 5.1 years, a total of 1,383 hospitalizations occurred, and the mean annual rate of hospitalization was 0.5 (standard deviation = 0.6, median = 0.4). Higher rate of hospitalization was not directly related to higher burden for any of the neuropathologic markers. Higher rate of hospitalization was associated with more rapid cognitive decline (estimate = -0.042, standard error [SE] = 0.012, p < 0.001), and after controlling for all 7 neuropathologic markers, the association was essentially the same (estimate = -0.040, SE = 0.013, p = 0.002). In a multivariable model with 3-way interactions of neuropathologic markers with hospitalization rate and time, the association between hospitalization rate and faster cognitive decline was greater in persons with more tangle pathology (estimate for interaction = -0.007, SE = 0.002, p = 0.002) and in persons with neocortical Lewy bodies (estimate for interaction = -0.117, SE = 0.042, p = 0.005). INTERPRETATION: Older persons with more hospitalizations experienced faster rates of cognitive decline, and this association was more pronounced in persons with more tau tangle density and with neocortical Lewy body pathologies. ANN NEUROL 2019;86:844-852.

Use of the brief Confusion Assessment Method in a veteran palliative care population: A pilot validation study.

OBJECTIVE: Many patients with advanced serious illness or at the end of life experience delirium, a potentially reversible form of acute brain dysfunction, which may impair ability to participate in medical decision-making and to engage with their loved ones. Screening for delirium provides an opportunity to address modifiable causes. Unfortunately, delirium remains underrecognized. The main objective of this pilot was to validate the brief Confusion Assessment Method (bCAM), a two-minute delirium-screening tool, in a veteran palliative care sample. METHOD: This was a pilot prospective, observational study that included hospitalized patients evaluated by the palliative care service at a single Veterans' Administration Medical Center. The bCAM was compared against the reference standard, the Diagnostic and Statistical Manual of Mental Disorders, fifth edition. Both assessments were blinded and conducted within 30 minutes of each other. RESULT: We enrolled 36 patients who were a median of 67 years (interquartile range 63-73). The primary reasons for admission to the hospital were sepsis or severe infection (33%), severe cardiac disease (including heart failure, cardiogenic shock, and myocardial infarction) (17%), or gastrointestinal/liver disease (17%). The bCAM performed well against the Diagnostic and Statistical Manual of Mental Disorders, fifth edition, for detecting delirium, with a sensitivity (95% confidence interval) of 0.80 (0.4, 0.96) and specificity of 0.87 (0.67, 0.96). SIGNIFICANCE OF RESULTS: Delirium was present in 27% of patients enrolled and never recognized by the palliative care service in routine clinical care. The bCAM provided good sensitivity and specificity in a pilot of palliative care patients, providing a method for nonpsychiatrically trained personnel to detect delirium.

Cognitive decline after elective and nonelective hospitalizations in older adults.

OBJECTIVE: To determine whether emergent and urgent (nonelective) hospitalizations are associated with faster acceleration of cognitive decline compared to elective hospitalizations, accounting for prehospital decline. METHODS: Data came from the Rush Memory and Aging Project, a prospective cohort study of community-dwelling older persons without baseline dementia. Annual measures of cognition via a battery of 19 tests were linked to 1999 to 2010 Medicare claims records. RESULTS: Of 777 participants, 460 (59.2%) were hospitalized over a mean of 5.0 (SD = 2.6) years; 222 (28.6%) had at least one elective and 418 (53.8%) at least one nonelective hospitalization. Mixed-effects regression models estimated change in global cognition before and after each type of hospitalization compared to no hospitalization, adjusted for age, sex, education, medical conditions, length of stay, surgery, intensive care unit, and comorbidities. Persons who were not hospitalized had a mean loss of 0.051 unit global cognition per year. In comparison, there was no significant difference in rate of decline before (0.044 unit per year) or after (0.048 unit per year) elective hospitalizations. In contrast, decline before nonelective hospitalization was faster (0.076 unit per year; estimate = -0.024, SE = 0.011, p = 0.032), and accelerated by 0.036 unit (SE = 0.005, p < 0.001) to mean loss of 0.112 unit per year after nonelective hospitalizations, more than doubling the rate in those not hospitalized. CONCLUSIONS: Nonelective hospitalizations are related to more dramatic acceleration in cognitive decline compared to elective hospitalizations, even after accounting for prehospital decline. These findings may inform which hospital admissions pose the greatest risk to the cognitive health of older adults.

Facility Placement as a Barrier to Hospice for Older Adult Patients Discharged From a Palliative Care Unit.

CONTEXT:: Many older adults discharged from an inpatient stay require postacute facility placement, which can be a barrier to hospice enrollment since the Medicare hospice benefit does not cover facility costs for patients under routine hospice care. OBJECTIVES:: To evaluate the extent to which need for postdischarge facility care was a barrier to hospice enrollment for older patients with short life expectancy discharged from a palliative care unit. METHODS:: Retrospective cohort using a prospectively collected database of patients 65 and older with a life expectancy of <6 months admitted to a palliative care unit in an urban, academic medical center and discharged alive from 2012 to 2017. Primary outcome was hospice enrollment at hospital discharge. Exposure of interest was need for facility placement at discharge. RESULTS:: Of 817 included patients, 649 (79%) were discharged with hospice. Patients discharged home had a significantly higher rate of hospice enrollment than patients discharged to a facility-92% versus 71% ( P < .0001). On multivariate logistic regression analysis, discharge to home versus facility remained a strong predictor of hospice enrollment, with an odds ratio for hospice enrollment of 6.04 (95% confidence interval: 3.73-9.79). CONCLUSION:: Need for postdischarge facility placement represents a barrier for hospice enrollment among older patients who are otherwise hospice appropriate. The structure of the hospice benefit may require modification so that these hospice appropriate patients can utilize the benefit.

The Cost of ICU Delirium and Coma in the Intensive Care Unit Patient.

RATIONALE: Intensive care unit (ICU) delirium is highly prevalent and a potentially avoidable hospital complication. The current cost of ICU delirium is unknown. OBJECTIVES: To specify the association between the daily occurrence of delirium in the ICU with costs of ICU care accounting for time-varying illness severity and death. RESEARCH DESIGN: We performed a prospective cohort study within medical and surgical ICUs in a large academic medical center. SUBJECTS: We analyzed critically ill patients (N=479) with respiratory failure and/or shock. MEASURES: Covariates included baseline factors (age, insurance, cognitive impairment, comorbidities, Acute Physiology and Chronic Health Evaluation II Score) and time-varying factors (sequential organ failure assessment score, mechanical ventilation, and severe sepsis). The primary analysis used a novel 3-stage regression method: first, estimation of the cumulative cost of delirium over 30 ICU days and then costs separated into those attributable to increased resource utilization among survivors and those that were avoided on the account of delirium's association with early mortality in the ICU. RESULTS: The patient-level 30-day cumulative cost of ICU delirium attributable to increased resource utilization was $17,838 (95% confidence interval, $11,132-$23,497). A combination of professional, dialysis, and bed costs accounted for the largest percentage of the incremental costs associated with ICU delirium. The 30-day cumulative incremental costs of ICU delirium that were avoided due to delirium-associated early mortality was $4654 (95% confidence interval, $2056-7869). CONCLUSIONS: Delirium is associated with substantial costs after accounting for time-varying illness severity and could be 20% higher (∼$22,500) if not for its association with early ICU mortality.

The 2014 updated version of the Confusion Assessment Method for the Intensive Care Unit compared to the 5th version of the Diagnostic and Statistical Manual of Mental Disorders and other current methods used by intensivists.

BACKGROUND: One third of patients admitted to an intensive care unit (ICU) will develop delirium. However, delirium is under-recognized by bedside clinicians without the use of delirium screening tools, such as the Intensive Care Delirium Screening Checklist (ICDSC) or the Confusion Assessment Method for the ICU (CAM-ICU). The CAM-ICU was updated in 2014 to improve its use by clinicians throughout the world. It has never been validated compared to the new reference standard, the Diagnostic and Statistical Manual of Mental Disorders 5th version (DSM-5). METHODS: We made a prospective psychometric study in a 16-bed medical-surgical ICU of a French academic hospital, to measure the diagnostic performance of the 2014 updated CAM-ICU compared to the DSM-5 as the reference standard. We included consecutive adult patients with a Richmond Agitation Sedation Scale (RASS) ≥ -3, without preexisting cognitive disorders, psychosis or cerebral injury. Delirium was independently assessed by neuropsychological experts using an operationalized approach to DSM-5, by investigators using the CAM-ICU and the ICDSC, by bedside clinicians and by ICU patients. The sensitivity, specificity, positive and negative predictive values were calculated considering neuropsychologist DSM-5 assessments as the reference standard (primary endpoint). CAM-ICU inter-observer agreement, as well as that between delirium diagnosis methods and the reference standard, was summarized using κ coefficients, which were subsequently compared using the Z-test. RESULTS: Delirium was diagnosed by experts in 38% of the 108 patients included for analysis. The CAM-ICU had a sensitivity of 83%, a specificity of 100%, a positive predictive value of 100% and a negative predictive value of 91%. Compared to the reference standard, the CAM-ICU had a significantly (p < 0.05) higher agreement (κ = 0.86 ± 0.05) than the physicians,' residents' and nurses' diagnoses (κ = 0.65 ± 0.09; 0.63 ± 0.09; 0.61 ± 0.09, respectively), as well as the patient's own impression of feeling delirious (κ = 0.02 ± 0.11). Differences between the ICDSC (κ = 0.69 ± 0.07) and CAM-ICU were not significant (p = 0.054). The CAM-ICU demonstrated a high reliability for inter-observer agreement (κ = 0.87 ± 0.06). CONCLUSIONS: The 2014 updated version of the CAM-ICU is valid according to DSM-5 criteria and reliable regarding inter-observer agreement in a research setting. Delirium remains under-recognized by bedside clinicians.

Delirium Assessment Tools for Use in Critically Ill Adults: A Psychometric Analysis and Systematic Review.

BACKGROUND: Delirium is highly prevalent in critically ill patients. Its detection with valid tools is crucial. OBJECTIVE: To analyze the development and psychometric properties of delirium assessment tools for critically ill adults. METHODS: Databases were searched to identify relevant studies. Inclusion criteria were English language, publication before January 2015, 30 or more patients, and patient population of critically ill adults (>18 years old). Search terms were delirium, scales, critically ill patients, adult, validity, and reliability. Thirty-six manuscripts were identified, encompassing 5 delirium assessment tools (Confusion Assessment Method for the Intensive Care Unit (CAM-ICU), Cognitive Test for Delirium, Delirium Detection Score, Intensive Care Delirium Screening Checklist (ICDSC), and Nursing Delirium Screening Scale). Two independent reviewers analyzed the psychometric properties of these tools by using a standardized scoring system (range, 0-20) to assess the tool development process, reliability, validity, feasibility, and implementation of each tool. RESULTS: Psychometric properties were very good for the CAM-ICU (19.6) and the ICDSC (19.2), moderate for the Nursing Delirium Screening Scale (13.6), low for the Delirium Detection Score (11.2), and very low for the Cognitive Test for Delirium (8.2). CONCLUSIONS: The results indicate that the CAM-ICU and the ICDSC are the most valid and reliable delirium assessment tools for critically ill adults. Additional studies are needed to further validate these tools in critically ill patients with neurological disorders and those at various levels of sedation or consciousness.

Five-Year Experience of an Inpatient Palliative Care Unit at an Academic Referral Center.

BACKGROUND: Palliative care units (PCUs) staffed by specialty-trained physicians and nurses have been established in a number of medical centers. The purpose of this study is to review the 5-year experience of a PCU at a large, urban academic referral center. METHODS: We retrospectively reviewed a prospectively collected database of all admissions to the PCU at Vanderbilt University Medical Center in the first 5 years of its existence, from 2012 through 2017. RESULTS: Over these 5 years, there were 3321 admissions to the PCU. No single underlying disease process accounted for the majority of the patients, but the largest single category of patients were those with malignancy, who accounted for 38% of admissions. Transfers from the intensive care unit accounted for 50% of admissions, with 43% of admissions from a hospital floor and 7% coming from the emergency department or a clinic. Median length of stay in the PCU was 3 days. In hospital deaths occurred for 50% of admitted patients, while 38% of patients were discharged from the PCU to hospice. CONCLUSION: These data show that a successful PCU is enabled by buy in from a wide variety of referring specialists and by a multidisciplinary palliative care team focused on care of the actively dying patient as well as pain and symptom management, advance care planning, and hospice referral since a large proportion of referred patients do not die in house.

The validity and reliability of the Arabic version of the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU): A prospective cohort study.

BACKGROUND: Accurate diagnosis for Arabic speaking critically ill patients suffering from delirium is limited by the need for a valid/reliable translation of a standardized delirium instrument such as the Confusion Assessment Method for the ICU (CAM-ICU). OBJECTIVE: To determine the validity and reliability of the Arabic version of the CAM-ICU. DESIGN: A prospective cohort study design was used to conduct the current study. SETTINGS: Data collection took place in Geriatric, Emergency and Surgical intensive care units. PARTICIPANTS: Fifty-eight adult patients met the inclusion criteria and participated in the study. Among the participants 22(38%) patients were on mechanical ventilation. METHODS: After translating the CAM-ICU into Arabic language, the Arabic CAM-ICU was administered by two well-trained critical care nurses and compared with reference standard assessments by delirium experts using the Diagnostic and Statistical Manual of Mental Disorders, 4th Edition, Text Revision (DSM -IV-TR), along with assessment of severity of illness using Sequential Organ Failure Assessment (SOFA). Concurrent validity was assessed by calculating sensitivity, specificity and positive and negative predictive value (PPV and NPV) for the two Arabic CAM-ICU raters, where calculations were based on considering the DSM-IV-TR criterion as the reference standard. The convergent validity of the Arabic CAM-ICU was explored by comparing the Arabic CAM-ICU ratings and the total score of SOFA (severity of illness) and MMSE (cognitive impairment). RESULTS: A total of 58 ICU patients were included, of whom 27 (47%) were diagnosed with delirium during their ICU stay via DSM-IV criteria. Interrater reliability for the Arabic CAM-ICU, overall and for mechanically ventilated patients assessed using Cohen's kappa (κ) were 0.82 and 1, respectively, p < 0.001. The sensitivities (95% CI) for the two critical care nurses when using the Arabic CAM-ICU compared with the reference standard were 81% (60%-93%) and 85% (65%-95%), respectively, whereas specificity (95% CI) was 81%(62%-92%) for both nurses. High sensitivity and specificity measures were also observed across subgroups; 100% for mechanically ventilated patients, 88% (60%-98%) and 79% (49%-94%) for those aged 65 years or older and 82% (56%-95%) and 75% (43%-93%) for those with SOFA scores at or above the median value. CONCLUSIONS: The Arabic CAM-ICU appeared to be valid and reliable tool for diagnosing delirium. Future investigations may lead to a better understanding of the prevalence, predictors, and consequences of delirium among critically ill Arabic speaking patients.

Multicenter assessment of sedation and delirium practices in the intensive care units in Poland - is this common practice in Eastern Europe?

BACKGROUND: The majority of critically ill patients experience distress during their stay in the Intensive Care Unit (ICU), resulting from systemic illness, multiple interventions and environmental factors. Providing humane care should address concomitant treatment of pain, agitation and delirium. The use of sedation and approaches to ICU delirium should be monitored according to structured guidelines. However, it is unknown to what extent these concepts are followed in Eastern European countries like Poland. The aim of this study was to evaluate sedation and delirium practices in ICUs in Poland, as a representative of the Eastern European block, particularly the implementation of sedation and ICU delirium screening tools, availability of written sedation guidelines, choice of sedation and delirium treatment agents. METHODS: A national postal survey was conducted in all Polish ICUs in early 2016. RESULTS: A total of 165 responses out of 436 addressed units were received (37.8%). Out of responding ICUs delirium is monitored in only 11.9% of the units in Poland. Sedation monitoring tool is used in only 46.1% of units. Only 19.4% of ICUs have written protocols for sedation and 32.1% do not practice daily sedation interruption. The most frequently used agents for short-term sedation (<24 h) were propofol and fentanyl infusions and benzodiazepines (midazolam) and morphine for longer sedation (>24 h). The preferred agents for delirium treatment were haloperidol (77.6%), dexmedetomidine (43.6%) and quetiapine (19.4%). Close to one-third (32.7%) of respondents chose a benzodiazepine (diazepam) for ICU delirium treatment. Non-pharmacological treatment for ICU delirium was reported by only 45% of the respondents. CONCLUSIONS: A majority of Polish ICUs do not adhere to international guidelines regarding sedation and delirium practices. There continues to be inadequate use of sedation and delirium monitoring tools. High usage of benzodiazepines for sedation and ICU delirium treatment reveals persistence of non-evidence-based practice. This study should prompt further assessment of other Eastern Europe countries and help generate a collective response to update these aspects of patient safety and comfort.

The CAM-ICU has now a French "official" version. The translation process of the 2014 updated Complete Training Manual of the Confusion Assessment Method for the Intensive Care Unit in French (CAM-ICU.fr).

INTRODUCTION: Delirium is common in Intensive-Care-Unit (ICU) patients but under-recognized by bed-side clinicians when not using validated delirium-screening tools. The Confusion-Assessment-Method for the ICU (CAM-ICU) has demonstrated very good psychometric properties, and has been translated into many different languages though not into French. We undertook this opportunity to describe the translation process. MATERIAL AND METHODS: The translation was performed following recommended guidelines. The updated method published in 2014 including introduction letters, worksheet and flowsheet for bed-side use, the method itself, case-scenarios for training and Frequently-Asked-Questions (32 pages) was translated into French language by a neuropsychological researcher who was not familiar with the original method. Then, the whole method was back-translated by a native English-French bilingual speaker. The new English version was compared to the original one by the Vanderbilt University ICU-delirium-team. Discrepancies were discussed between the two teams before final approval of the French version. RESULTS: The entire process took one year. Among the 3692 words of the back-translated version of the method itself, 18 discrepancies occurred. Eight (44%) lead to changes in the final version. Details of the translation process are provided. CONCLUSIONS AND RELEVANCE: The French version of CAM-ICU is now available for French-speaking ICUs. The CAM-ICU is provided with its complete training-manual that was challenging to translate following recommended process. While many such translations have been done for other clinical tools, few have published the details of the process itself. We hope that the availability of such teaching material will now facilitate a large implementation of delirium-screening in French-speaking ICUs.