Determinants of Subjective Mental and Functional Health of Critical Illness Survivors: Comparing Pre-ICU and Post-ICU Status.

OBJECTIVES: To compare ICU survivors' subjective mental and functional health before ICU admission and after discharge and to assess determinants of subjective health decline or improvement. DESIGN: Secondary analysis of the multicenter cluster-randomized Enhanced Recovery after Intensive Care trial ( ClinicalTrials.gov : NCT03671447). SETTING: Ten ICU clusters in Germany. PATIENTS: Eight hundred fifty-five patients with 1478 follow-up assessments. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: At two patient follow-ups scheduled 3 and 6 months after ICU discharge, patients rated their subjective mental and functional/physical health on two separate visual analog scales from 0 (worst) to 10 (best) in the previous week and before ICU admission. We compared pre-ICU and post-ICU subjective health and used mixed-effects regression to assess determinants of a health decline or improvement. At the first follow-up, 20% ( n = 165/841) and 30% ( n = 256/849) of patients reported a decline in subjective mental and functional health of at least three points, respectively; 16% ( n = 133/841 and n = 137/849) outlined improvements of mental and functional health. For 65% ( n = 543/841) and 54% ( n = 456/849), mental and functional health did not change three points or more at the first follow-up. Multivariable mixed-effects logistic regressions revealed that the ICU length of stay was a predictor of mental (adjusted odds ratio [OR] per ICU day, 1.04; 95% CI, 1.00-1.09; p = 0.038) and functional health (adjusted OR per ICU day, 1.06; 95% CI, 1.01-1.12; p = 0.026) decline. The odds of a mental health decline decreased with age (adjusted OR per year, 0.98; 95% CI, 0.96-0.99; p = 0.003) and the odds of a functional health decline decreased with time after discharge (adjusted OR per month, 0.86; 95% CI, 0.79-0.94; p = 0.001). CONCLUSIONS: The majority of ICU survivors did not experience substantial changes in their subjective health status, but patients with long ICU stays were prone to subjective mental and functional health decline. Hence, post-ICU care in post-ICU clinics could focus on these patients.

Subjective Ratings of Mental and Physical Health Correlate With EQ-5D-5L Index Values in Survivors of Critical Illness: A Construct Validity Study.

OBJECTIVES: Survivors of critical illness commonly show impaired health-related quality of life (HrQoL). We investigated if HrQoL can be approximated by brief, easily applicable items to be used in primary care. DESIGN: Secondary analysis of data from the multicenter, cluster-randomized controlled Enhanced Recovery after Intensive Care trial ( ClinicalTrials.gov : NCT03671447) and construct validity study. SETTING: Ten participating clusters of ICUs in the metropolitan area of Berlin, Germany. PATIENTS: Eight hundred fifty ICU survivors enrolled in a mixed, medical or surgical ICU when they had an expected ICU length of stay of at least 24 hours, were at least 18 years old, and had statutory health insurance coverage. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Patients received follow-ups scheduled 3 and 6 months after ICU discharge. HrQoL was assessed with the EuroQol 5-Dimension 5-Level (EQ-5D-5L), and patients were asked to rate their current mental and physical health state from 0 (worst) to 10 (best). We fitted prediction models for the EQ-5D-5L index value using these two items and additional covariates, applying stepwise regression and adaptive lasso. Subjective mental health (Spearman: 0.59) and subjective physical health (Spearman: 0.68) correlated with EQ-5D-5L index values and were better predictors of EQ-5D-5L index values in the two-item regression (normalized root mean squared error [nRMSE] 0.164; normalized mean absolute error [nMAE] 0.118; R2adj 0.43) than the EQ-5D Visual Analog Scale (nRMSE 0.175; nMAE 0.124; R2adj 0.35). Stepwise regression with additional covariates further increased prediction performance (nRMSE 0.133; nMAE 0.1; R2adj 0.51). CONCLUSIONS: Asking patients to rate their subjective mental and physical health can be an easily applicable tool for a first impression of the HrQoL in primary care settings.

Comparison of Different Ultrasound Methods to Assess Changes in Muscle Mass in Critically ill Patients.

BACKGROUND: Muscle ultrasound represents a promising approach to aid diagnoses of neuromuscular diseases in critically ill patients. Unfortunately, standardization of ultrasound measurements in clinical research is lacking, making direct comparisons between studies difficult. Protocols are required to assess qualitative muscle changes during an ICU stay in patients at high risk for the development of neuromuscular acquired weakness (ICUAW). METHODS: We conducted a retrospective, observational analysis comprised of three prospective observational studies with the aim of diagnosing muscle changes by ultrasound measurement of the quadriceps muscle. Different protocols were used in each of the three studies. In total, 62 surgical, neurocritical care and trauma intensive care patients were serially assessed by different ultrasound protocols during the first week of critical illness. The relative change in ultrasound measurements was calculated for all possible locations, methods and sides. Comparison was obtained using mixed effect models with the location, the height and the side as influencing variables and patients as fixed effect. The relationship between variables and outcomes was assessed by multivariable regression analysis. RESULTS: Ultrasound methods and measurement sites of the quadriceps muscles from all protocols were equally effective in detecting muscle changes. During the first week of an ICU stay, two groups were identified: patients with decreased muscle mass on ultrasound (n = 42) and a cohort with enlargement (n = 23). Hospital mortality was significantly increased in the cohort with muscle swelling (8 (19%) versus 12 (52%), p = .013). CONCLUSIONS: Different approaches of ultrasound measurement during critical-illness are equally able to detect muscle changes. While some patients have a decrease in muscle mass, others show swelling, which may result in a reduced probability of surviving the hospital stay. Causative reasons for these results still remain unclear.

Enhancing European Management of Analgesia, Sedation, and Delirium: A Multinational, Prospective, Interventional Before-After Trial.

BACKGROUND: The objective of this study was to analyze the impact of a structured educational intervention on the implementation of guideline-recommended pain, agitation, and delirium (PAD) assessment. METHODS: This was a prospective, multinational, interventional before-after trial conducted at 12 intensive care units from 10 centers in Germany, Austria, Switzerland, and the UK. Intensive care units underwent a 6-week structured educational program, comprising online lectures, instructional videos, educational handouts, and bedside teaching. Patient-level PAD assessment data were collected in three 1-day point-prevalence assessments before (T1), 6 weeks after (T2), and 1 year after (T3) the educational program. RESULTS: A total of 430 patients were included. The rate of patients who received all three PAD assessments changed from 55% (107/195) at T1 to 53% (68/129) at T2, but increased to 73% (77/106) at T3 (p = 0.003). The delirium screening rate increased from 64% (124/195) at T1 to 65% (84/129) at T2 and 77% (82/106) at T3 (p = 0.041). The pain assessment rate increased from 87% (170/195) at T1 to 92% (119/129) at T2 and 98% (104/106) at T3 (p = 0.005). The rate of sedation assessment showed no signficiant change. The proportion of patients who received nonpharmacological delirium prevention measures increased from 58% (114/195) at T1 to 80% (103/129) at T2 and 91% (96/106) at T3 (p < 0.001). Multivariable regression revealed that at T3, patients were more likely to receive a delirium assessment (odds ratio [OR] 2.138, 95% confidence interval [CI] 1.206-3.790; p = 0.009), sedation assessment (OR 4.131, 95% CI 1.372-12.438; p = 0.012), or all three PAD assessments (OR 2.295, 95% CI 1.349-3.903; p = 0.002) compared with T1. CONCLUSIONS: In routine care, many patients were not assessed for PAD. Assessment rates increased significantly 1 year after the intervention. Clinical trial registration ClinicalTrials.gov: NCT03553719.

Influence of Patient-Specific Covariates on Test Validity of Two Delirium Screening Instruments in Neurocritical Care Patients (DEMON-ICU).

BACKGROUND: Delirium screening instruments (DSIs) should be used to detect delirium, but they only show moderate sensitivity in patients with neurocritical illness. We explored whether, for these patients, DSI validity is impacted by patient-specific covariates. METHODS: Data were prospectively collected in a single-center quality improvement project. Patients were screened for delirium once daily using the Intensive Care Delirium Screening Checklist (ICDSC) and the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU). Reference was the daily assessment using criteria from the Diagnostic and Statistical Manual, 4th Edition, Text Revision (DSM-IV-TR). In a two-step receiver operating characteristics regression analysis adjusting for repeated measurements, the impact of acute diagnosis of stroke or transient ischemic attack (TIA), neurosurgical intervention, Richmond Agitation Sedation Scale, and ventilation status on test validity was determined. RESULTS: Of 181 patients screened, 101 went into final analysis. Delirium incidence according to DSM-IV-TR was 29.7%. For the first complete assessment series (CAM-ICU, ICDSC, and DSM-IV-TR), sensitivity for the CAM-ICU and the ICDSC was 73.3% and 66.7%, and specificity was 91.8% and 94.1%, respectively. Consideration of daily repeated measurements increased sensitivity for the CAM-ICU and ICDSC to 75.7% and 73.4%, and specificity to 97.3% and 98.9%, respectively. Receiver operating characteristics regression revealed that lower Richmond Agitation Sedation Scale levels significantly impaired validity of the ICDSC (p = 0.029) and the CAM-ICU in its severity scale version (p = 0.004). Neither acute diagnosis of stroke or TIA nor neurosurgical intervention or mechanical ventilation significantly influenced DSI validity. CONCLUSIONS: The CAM-ICU and ICDSC perform well in patients requiring neurocritical care, regardless of the presence of acute stroke, TIA, or neurosurgical interventions. Yet, even very light or moderate sedation can significantly impair DSI performance.

Detection of delirium by family members in the intensive care unit: Translation, Cross-Cultural adaptation and validation of the Family Confusion Assessment Method for the German-Speaking area.

AIM: The aim of this study was the translation, cross-cultural adaptation and validation of the Family Confusion Assessment Method in critically ill patients. BACKGROUND: Delirium is a frequently unrecognized disorder in critically ill patients. Visiting family members might be the first to notice subtle changes in a patient's cognition and behaviour. The Family Confusion Assessment Method was developed to detect delirium by family members, but has not been available for the German-speaking area yet. DESIGN: A prospective validation study was conducted between January 2020 and October 2020. METHODS: The Family Confusion Assessment Method was translated into German according to the Principles of Good Practice for the Translation and Cultural Adaptation Process for Patient-Reported Outcomes. Subsequently, we compared the Family Confusion Assessment Method with the Confusion Assessment Method for the Intensive Care Unit in critically ill patients and their family members in a medical intensive care unit in Germany. RESULTS: We included 50 dyads of critically ill patients and their family members. The prevalence of delirium measured by Confusion Assessment Method for the Intensive Care Unit was 44%. Cohen's kappa coefficient was 0.84. The German Family Confusion Assessment Method had a high sensitivity of 95.5% and specificity of 89.3%. The positive predictive value and negative predictive value were 87.5% and 96.2% respectively. CONCLUSIONS: These findings suggest that the German Family Confusion Assessment Method is an accurate assessment tool for delirium detection in the intensive care unit by family members. Furthermore, the results indicate that family members may identify delirium by the Family Confusion Assessment Method without prior training. IMPACT: Collaborating medical staff with patients' family members to detect delirium in the intensive care unit may lead to early recognition of delirium.

A Decade of Post-Intensive Care Syndrome: A Bibliometric Network Analysis.

Background and Objectives: In 2012, the umbrella term post-intensive care syndrome (PICS) was introduced to capture functional long-term impairments of survivors of critical illness. We present a bibliometric network analysis of the PICS research field. Materials and Methods: The Web of Science core database was searched for articles published in 2012 or later using 'post-intensive care syndrome' and variant spellings. Using VOSviewer, we computed co-authorship networks of countries, institutions, and authors, as well as keyword co-occurrence networks. We determined each country's relative research effort and Category Normalized Citation Index over time and analyzed the 100 most-cited articles with respect to article type, country of origin, and publishing journal. Results: Our search yielded 379 articles, of which 373 were analyzed. Annual PICS research output increased from 11 (2012) to 95 articles (2020). Most PICS research originates from the US, followed by England, Australia, the Netherlands, and Germany. We found various collaborations between countries, institutions, and authors, with recent collaborative networks of English and Australian institutions. Article keywords cover aspects of cognitive, mental health, and physical impairments, and more recently, COVID-19. Only a few keywords and articles pertained to PICS prevention and treatment. Conclusions: Our analysis of Web of Science-indexed PICS articles highlights the stark increase in PICS research output in recent years, primarily originating from US- and Europe-based authors and institutions. Despite the research field's growth, knowledge gaps with respect to PICS prevention and treatment remain.

Long-term outcomes after critical illness: recent insights.

Intensive care survivors often experience post-intensive care sequelae, which are frequently gathered together under the term "post-intensive care syndrome" (PICS). The consequences of PICS on quality of life, health-related costs and hospital readmissions are real public health problems. In the present Viewpoint, we summarize current knowledge and gaps in our understanding of PICS and approaches to management.

Telemedicine in Intensive Care Units: Scoping Review.

BACKGROUND: The role of telemedicine in intensive care has been increasing steadily. Tele-intensive care unit (ICU) interventions are varied and can be used in different levels of treatment, often with direct implications for the intensive care processes. Although a substantial body of primary and secondary literature has been published on the topic, there is a need for broadening the understanding of the organizational factors influencing the effectiveness of telemedical interventions in the ICU. OBJECTIVE: This scoping review aims to provide a map of existing evidence on tele-ICU interventions, focusing on the analysis of the implementation context and identifying areas for further technological research. METHODS: A research protocol outlining the method has been published in JMIR Research Protocols. This review follows the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews). A core research team was assembled to provide feedback and discuss findings. RESULTS: A total of 3019 results were retrieved. After screening, 25 studies were included in the final analysis. We were able to characterize the context of tele-ICU studies and identify three use cases for tele-ICU interventions. The first use case is extending coverage, which describes interventions aimed at extending the availability of intensive care capabilities. The second use case is improving compliance, which includes interventions targeted at improving patient safety, intensive care best practices, and quality of care. The third use case, facilitating transfer, describes telemedicine interventions targeted toward the management of patient transfers to or from the ICU. CONCLUSIONS: The benefits of tele-ICU interventions have been well documented for centralized systems aimed at extending critical care capabilities in a community setting and improving care compliance in tertiary hospitals. No strong evidence has been found on the reduction of patient transfers following tele-ICU intervention. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/19695.

[Avoiding Long-term Impairment in Critical Care Using Telemedicine: The ERIC Example]. / Qualitätssteigerung in der Intensivmedizin durch Telemedizin: Beispiel ERIC.

There is a high demand for critical care, which is forecasted to further grow in the future. Increasing patient morbidity and complexity concurring with a shortage of trained intensivists imposes challenges on critical care clinicians. Weathering these challenges, telemedical programs can help utilize and allocate resources more efficiently as well as foster adherence to best practice, thereby directly impacting quality of care. Studies have predominantly shown reductions in mortality and length of stay. Successful telemedical programs employ experienced intensivists, have well-functioning equipment and high acceptance among on-site clinicians. The multicenter, pragmatic, stepped wedge cluster-randomized controlled quality improvement trial Enhanced Recovery after Intensive Care (ERIC) pilots a new form of critical care provision in Germany. With a target study sample size of n = 1431 patients, the study aims to utilize telemedicine to increase adherence to a set of evidence- and consensus-based quality indicators for acute critical care. In an intersectoral case-care management, patients are followed three and six months after discharge from the intensive care unit to be assessed for long-term impairments and post-intensive care syndrome.

[Blended Learning in Critical Care to Improve Quality of Care the ERIC-Training]. / Blended-Learning-Konzepte in der Intensivmedizin am Beispiel des ERIC-Trainings.

Communication and teamwork skills are, besides clinical knowledge, key components of high quality care in modern intensive care units. In light of high staff fluctuations among intensive care unit teams and disparities in clinical experience, an ongoing training is essential to ensure optimal performance in stressfull situations. Further, when implementing new procedures, an adequate concept for staff education is of utmost importance. Blended learning is a novel approach, combining autonomous web-based education and on-site workshops in order to improve the training process. Enhanced Recovery after Intensive Care (ERIC) is a newly developed telemedical intervention targeted at improving evidence-based practice in critical care, guided by quality indicators defined by the German Interdisciplinary Society of Emergency and Critical Care Medicine (DIVI). This telemedical intervention is supplemented with a blended-learning concept combining an e-learning website, simulator-based workshops and on-site training in order to expand the knowledge and practical skills regarding adherence to the quality indicators.

Influence of Sedation Level and Ventilation Status on the Diagnostic Validity of Delirium Screening Tools in the ICU-An International, Prospective, Bi-Center Observational Study (IDeAS).

Background and objectives: The use of delirium screening instruments (DSIs) is recommended in critical care practice for a timely detection of delirium. We hypothesize that the patient-related factors "level of sedation" and "mechanical ventilation" impact test validity of DSIs. Materials and Methods: This is a prospective, bi-center observational study (clinicaltrials.gov: NCT01720914). Critically ill patients were screened for delirium daily for up to seven days after enrollment using the Nursing Delirium Screening Scale (Nu-DESC), Intensive Care Delirium Screening Checklist (ICDSC), and Confusion Assessment Method for the Intensive Care Unit (CAM-ICU). Reference standard for delirium diagnosis was the neuropsychiatric examination using the criteria of the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision (DSM-IV-TR). Immediately before delirium assessment, ventilation status and sedation levels were documented. Results: 160 patients were enrolled and 151 patients went into final analysis. Delirium incidence was 23.2%. Nu-DESC showed a sensitivity and specificity of 88.5%, a positive predictive value (PPV) of 71.9%, and a negative predictive value (NPV) of 95.8%. ICDSC had a sensitivity of 62.5%, a specificity of 92.4%, a PPV of 71.4%, and a NPV of 89.0%. CAM-ICU showed a sensitivity of 75.0%, a specificity of 94.7%, a PPV of 85.7%, and a NPV of 90.0%. For Nu-DESC and ICDSC, test validity was significantly better for non-sedated patients (Richmond Agitation Sedation Scale (RASS) 0/-1), whereas test validity for CAM-ICU in a severity scale version showed no significant differences for different sedation levels. No DSI showed a significant difference in test validity between noninvasively and invasively ventilated patients. Conclusions: Test validities of DSIs were comparable to previous studies. The observational scores ICDSC and Nu-DESC showed a significantly better performance in awake and drowsy patients (RASS 0/-1) when compared with other sedation levels. Physicians should refrain from sedation whenever possible to avoid suboptimal performance of DSIs.

Routine frailty assessment predicts postoperative complications in elderly patients across surgical disciplines - a retrospective observational study.

BACKGROUND: Frailty is a frequent and underdiagnosed functional syndrome involving reduced physiological reserves and an increased vulnerability against stressors, with severe individual and socioeconomic consequences. A routine frailty assessment was implemented at our preoperative anaesthesia clinic to identify patients at risk. OBJECTIVE: This study examines the relationship between frailty status and the incidence of in-hospital postoperative complications in elderly surgical patients across several surgical disciplines. DESIGN: Retrospective observational analysis. SETTING: Single center, major tertiary care university hospital. Data collection took place between June 2016 and March 2017. PATIENTS: Patients 65 years old or older were evaluated for frailty using Fried's 5-point frailty assessment prior to elective non-cardiac surgery. Patients were classified into non-frail (0 criteria, reference group), pre-frail (1-2 positive criteria) and frail (3-5 positive criteria) groups. MAIN OUTCOME MEASURES: The incidence of postoperative complications was assessed until discharge from the hospital, using the roster from the National VA Surgical Quality Improvement Program. Propensity score matching and logistic regression analysis were performed. RESULTS: From 1186 elderly patients, 46.9% were classified as pre-frail (n = 556), and 11.4% as frail (n = 135). The rate of complications were significantly higher in the pre-frail (34.7%) and frail groups (47.4%), as compared to the non-frail group (27.5%). Similarly, length of stay (non-frail: 5.0 [3.0;7.0], pre-frail: 7.0 [3.0;9.0], frail 8.0 [4.5;12.0]; p < 0.001) and discharges to care facilities (non-frail:1.6%, pre-frail: 7.4%, frail: 17.8%); p < 0.001) were significantly associated with frailty status. After propensity score matching and logistic regression analysis, the risk for developing postoperative complications was approximately two-fold for pre-frail (OR 1.78; 95% CI 1.04-3.05) and frail (OR 2.08; 95% CI 1.21-3.60) patients. CONCLUSIONS: The preoperative frailty assessment of elderly patients identified pre-frail and frail subgroups to have the highest rate of postoperative complications, regardless of age, surgical discipline, and surgical risk. Significantly increased length of hospitalisation and discharges to care facilities were also observed. Implementation of routine frailty assessments appear to be an effective tool in identifying patients with increased risk. Now future studies are needed to investigate whether patients benefit from optimization of patient counselling, process planning, and risk reduction protocols based on the application of risk stratification.

Peri- and postoperative cognitive and consecutive functional problems of elderly patients.

PURPOSE OF REVIEW: From an elderly patient's perspective, acute and chronic cognitive disturbances are among the most harmful complications that can occur following surgery. For elderly patients, these complications often mean the end of an independent life. This article focuses on this serious aspect, which is increasingly prevalent in our aging society. Cognitive disturbances are associated with severe outcome impairments and increased mortality. This article aims to provide a current overview regarding the diagnosis, pathophysiology, prevention, and treatment of this severe social problem. RECENT FINDINGS: The current knowledge of risk factors, diagnosis, prevention, and treatment of postoperative delirium and postoperative cognitive dysfunction should help to raise awareness and improve the outcome of delirious patients, particularly in the elderly population. SUMMARY: Especially in elderly patients, postoperative delirium constitutes a common, severe complication. Early diagnosis and supportive treatment are essential to improve outcome. To date, no pharmacological treatment strategy was effective, so that further research about the underlying pathophysiology and the development of treatment strategies are urgently required.

Early deep sedation is associated with decreased in-hospital and two-year follow-up survival.

INTRODUCTION: There is increasing evidence that deep sedation is detrimental to critically ill patients. The aim of this study was to examine effects of deep sedation during the early period after ICU admission on short- and long-term survival. METHODS: In this observational, matched-pair analysis, patients receiving mechanical ventilation that were admitted to ICUs of a tertiary university hospital in six consecutive years were grouped as either lightly or deeply sedated within the first 48 hours after ICU admission. The Richmond Agitation-Sedation Score (RASS) was used to assess sedation depth (light sedation: -2 to 0; deep: -3 or below). Multivariate Cox regression was conducted to investigate the impact of early deep sedation within the first 48 hours of admission on in-hospital and two-year follow-up survival. RESULTS: In total, 1,884 patients met inclusion criteria out of which 27.2% (n = 513) were deeply sedated. Deeply sedated patients had longer ventilation times, increased length of stay and higher rates of mortality. Early deep sedation was associated with a hazard ratio of 1.661 (95% CI: 1.074 to 2.567; P = 0.022) for in-hospital survival and 1.866 (95% CI: 1.351 to 2.576; P < 0.001) for two-year follow-up survival. CONCLUSIONS: Early deep sedation during the first 48 hours of intensive care treatment was associated with decreased in-hospital and two-year follow-up survival. Since early deep sedation is a modifiable risk factor, this data shows an urgent need for prospective clinical trials focusing on light sedation in the early phase of ICU treatment.

Postoperative delirium is an independent risk factor for posttraumatic stress disorder in the elderly patient: a prospective observational study.

BACKGROUND: Posttraumatic stress disorder (PTSD) may appear after hospitalisation for surgery with general anaesthesia in elderly patients. Prevalence and risk factors in this setting are unknown. Postoperative delirium could be a risk factor. OBJECTIVE: The purpose of this study was to identify the prevalence of, and risk factors for, PTSD 3 months after surgery with general anaesthesia in elderly patients. DESIGN: A prospective, clinical observational study. SETTING: This study was carried out between March 2009 and May 2010 in a German university hospital in Berlin and was part of a larger study focusing on depth of anaesthesia. INCLUSION CRITERIA: at least 60 years of age; noncardiac surgery with general anaesthesia. EXCLUSION CRITERIA: impaired preoperative cognitive function [mini-mental state examination (MMSE) score <24]; expected surgery time less than 1 h; nonproficiency in the German language. INTERVENTIONS: None. MAIN OUTCOME MEASURES: Screening for PTSD 3 months after surgery using the screening instrument Post-Traumatic Stress Syndrome 14-Questions Inventory Score (PTSS-14). The following risk factors for PTSD 3 months after surgery were tested: age; American Society of Anesthesiologists physical status; sex; duration of anaesthesia; postoperative delirium; PTSS-14 score 7 days after surgery; postoperative vomiting and nausea; postoperative pain; and preoperative depression. STATISTICS: Univariate statistical analysis was performed with Fisher's exact test and Spearman correlation. A backward logistic regression was performed. RESULTS: A total of 559 out of 1277 patients were included. Sixty-six patients (12%) were identified with PTSD 3 months after surgery. Seventy-seven patients (14%) were identified with postoperative delirium. Independent associated factors in the backward logistic regression were postoperative delirium (risk factor) and preoperative depression (protective factor). CONCLUSION: The prevalence of PTSD 3 months after surgery in elderly patients was high using the screening instrument PTSS-14. Postoperative delirium is a risk factor for PTSD 3 months after surgery. TRIAL REGISTRATION: ISRCTN Register: 36437985. http://www.controlled-trials.com/ISRCTN36437985/

["Symptomatic Treatment of Delirium, Anxiety and Stress, and Protocol Based Analgesia, Sedation and Management of Sleep in Intensive Care Patients"]. / Analgesie, Sedierung und Delirmanagement - Die neue S3-Leitlinie "Analgesie, Sedierung und Delirmanagement in der Intensivmedizin" (DAS-Leitlinie 2015).

Critically ill patients suffer from anxiety, stress, pain, sleep disturbance and delirium. The updated version of the German evidence and consensus based guideline "Analgesia, Sedation and Delirium management in Intensive Care - DAS 2015" contributes an improved therapeutic management and is aimed to improve clinical outcome based on the current state of evidence. The task force members were representatives from 17 national medical societies therefore have consented following guiding principle in common: "Patients in intensive care shall be awake, alert and free of pain, anxiety and delirium, to be able to participate in the healing process actively."

Effect of ICU care bundles on long-term patient-relevant outcomes: a scoping review.

OBJECTIVE: Care bundles are considered a key tool to improve bedside quality of care in the intensive care unit (ICU). We explored their effect on long-term patient-relevant outcomes. DESIGN: Systematic literature search and scoping review. DATA SOURCES: We searched PubMed, Embase, CINAHL, APA PsycInfo, Web of Science, CDSR and CENTRAL for keywords of intensive care, care bundles, patient-relevant outcomes, and follow-up studies. ELIGIBILITY CRITERIA: Original articles with patients admitted to adult ICUs assessing bundle implementations and measuring long-term (ie, ICU discharge or later) patient-relevant outcomes (ie, mortality, health-related quality of life (HrQoL), post-intensive care syndrome (PICS), care-related outcomes, adverse events, and social health). DATA EXTRACTION AND SYNTHESIS: After dual, independent, two-stage selection and charting, eligible records were critically appraised and assessed for bundle type, implementation strategies, and effects on long-term patient-relevant outcomes. RESULTS: Of 2012 records, 38 met inclusion criteria; 55% (n=21) were before-after studies, 21% (n=8) observational cohort studies, 13% (n=5) randomised controlled trials, and 11% (n=4) had other designs. Bundles pertained to sepsis (n=11), neurocognition (n=6), communication (n=4), early rehabilitation (n=3), pharmacological discontinuation (n=3), ventilation (n=2) or combined bundles (n=9). Almost two-thirds of the studies reported on survival (n=24), 45% (n=17) on care-related outcomes (eg, discharge disposition), and 13% (n=5) of studies on HrQoL. Regarding PICS, 24% (n=9) assessed cognition, 13% (n=5) physical health, and 11% (n=4) mental health, up to 1 year after discharge. The effects of bundles on long-term patient-relevant outcomes was inconclusive, except for a positive effect of sepsis bundles on survival. The inconclusive effects may have been due to the high risk of bias in included studies and the variability in implementation strategies, instruments, and follow-up times. CONCLUSIONS: There is a need to explore the long-term effects of ICU bundles on HrQoL and PICS. Closing this knowledge gap appears vital to determine if there is long-term patient value of ICU bundles.

A brief questionnaire for measuring alarm fatigue in nurses and physicians in intensive care units.

When exposed to hundreds of medical device alarms per day, intensive care unit (ICU) staff can develop "alarm fatigue" (i.e., desensitisation to alarms). However, no standardised way of quantifying alarm fatigue exists. We aimed to develop a brief questionnaire for measuring alarm fatigue in nurses and physicians. After developing a list of initial items based on a literature review, we conducted 15 cognitive interviews with the target group (13 nurses and two physicians) to ensure that the items are face valid and comprehensible. We then asked 32 experts on alarm fatigue to judge whether the items are suited for measuring alarm fatigue. The resulting 27 items were sent to nurses and physicians from 15 ICUs of a large German hospital. We used exploratory factor analysis to further reduce the number of items and to identify scales. A total of 585 submissions from 707 participants could be analysed (of which 14% were physicians and 64% were nurses). The simple structure of a two-factor model was achieved within three rounds. The final questionnaire (called Charité Alarm Fatigue Questionnaire; CAFQa) consists of nine items along two scales (i.e., the "alarm stress scale" and the "alarm coping scale"). The CAFQa is a brief questionnaire that allows clinical alarm researchers to quantify the alarm fatigue of nurses and physicians. It should not take more than five minutes to administer.