Thiamine Levels During Intensive Insulin Therapy in Critically Ill Patients.

INTRODUCTION: Thiamine is an essential cofactor in carbohydrate metabolism, and deficiency can therefore cause various organ dysfunctions. Little is known about the prevalence and possible worsening of thiamine deficiency in critically ill patients. In this study, we investigated the prevalence of thiamine deficiency at admission to the intensive care unit (ICU) and hypothesized that intensive insulin therapy, aimed at regulating glucose levels, increases thiamine utilization and therefore might cause or worsen deficiency in patients with limited thiamine stores. MATERIALS AND METHODS: An observational prospective cohort study was carried out in a medical-surgical ICU in a general teaching hospital in Apeldoorn, the Netherlands. All adults who were treated during that time with intensive insulin therapy were included. Deficiency was defined as a thiamine level <100 nmol/L. No thiamine supplementation was administered except for normal amounts present in standard enteral feeding. RESULTS: A total of 58 patients were available for analysis. Median thiamine level at admission was 111 nmol/L. Deficiency was present in 39.7% of patients and was significantly associated with the presence of gastrointestinal pathology and with recent surgery. Thiamine levels increased a median of 14 nmol/L in 48 hours. Only 3.4% of patients showed a predefined relevant decline in thiamine levels. CONCLUSION: Intensive insulin therapy does not appear to cause or worsen thiamine deficiency. However, based on the high prevalence of deficiency at admission, it might be warranted to supplement thiamine in all patients admitted to the ICU, especially when there is an underlying gastrointestinal disease or recent surgery.

Measuring Adaptive Coping of Hospitalized Patients With a Severe Medical Condition: The Sickness Insight in Coping Questionnaire.

OBJECTIVES: Adaptive coping strategies are associated with less psychological distress. However, there is no brief, specific, and validated instrument for assessing adaptive coping among seriously ill patients. Our objective was to examine the validity and patient-proxy agreement of a novel instrument, the Sickness Insight in Coping Questionnaire. DESIGN: A cross-sectional design which included two related studies. SETTING: A single university-affiliated Dutch hospital. SUBJECTS: Hospitalized patients (study 1) and ICU-patients and proxies (study 2). INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Study 1 (n = 103 hospitalized patients) addressed the Sickness Insight in Coping Questionnaire's performance relative to questionnaires addressing similar content areas. Coping subscales of the BRIEF COPE, Illness Cognition Questionnaire, and Utrecht Coping List were used as comparator measures in testing the construct validity of the Sickness Insight in Coping Questionnaire-subscales (fighting spirit, toughness, redefinition, positivism, and non-acceptance). The Sickness Insight in Coping Questionnaire had good internal consistency (0.64 ≤ α ≤ 0.79), a clear initial factor structure, and fair convergent (0.24 ≤ r ≤ 0.50) and divergent (r, ≤ 0.12) construct validity. Study 2 examined the performance of the Sickness Insight in Coping Questionnaire among 100 ICU patients and their close family members. This study showed that the Sickness Insight in Coping Questionnaire has good structural validity (confirmatory factor analyses with Comparative Fit Index > 0.90 and Root Mean Square Error of Approximation < 0.08) and moderate (r, 0.37; non-acceptance) to strong (r, > 0.50; fighting spirit, toughness, redefinition, and positivism) patient-close proxy agreement. CONCLUSIONS: Overall, the Sickness Insight in Coping Questionnaire has good psychometric properties. ICU clinicians can use the Sickness Insight in Coping Questionnaire to gain insight in adaptive coping style of patients through ratings of patients or their close family members.

Current Use of Pain Scores in Dutch Intensive Care Units: A Postal Survey in the Netherlands.

BACKGROUND: Pain is a common problem for critically ill patients treated in the intensive care unit (ICU) and can have serious consequences. For this reason, the appropriate recognition and treatment of pain is of extreme importance. However, pain assessment in critically ill patients can be challenging because these patients are often unable to self-report. To identify attitudes and practices regarding the assessment and management of pain in ICU patients unable to self-report, we surveyed all adult ICUs in the Netherlands. METHODS: A multicenter, exploratory survey was sent by mail to all adult ICUs in the Netherlands. RESULTS: Eighty-four of 107 ICUs returned the questionnaire for a response rate of 79%. In patients able to self-report, 94% (n = 79; 95% confidence interval [CI], 86.7%-98%) of the ICUs used a standardized pain score. Visual Analog Scale and Numerical Rating Scale were used in 57% (n = 48; 99.3% CI, 41%-72%) and 48% (n = 40; 99.3% CI, 33%-64%), respectively. Nonteaching hospitals used pain assessment tools more often than teaching hospitals (P = 0.012). In patients not able to self-report, pain assessment tools were used in 19% (n = 16) of the ICUs. In the ICUs that used behaviorally based scoring systems, the Critical Care Pain Observation Tool and Behavioral Pain Scale (BPS) were used in 6% (n = 5; 99.5% CI, 1.1%-17%) and 5% (n = 4; 99.5% CI, 0.1%-15%), respectively. Among Dutch nurses, nursing opinion was considered the gold standard assessment in 36% (n = 30; 98.8% CI, 23%-50%) of the respondents, even when a patient was able to self-report and pain scales were used. In patients unable to self-report, nurses judged themselves to be more accurate than a behavioral pain assessment tool in 98% (n = 82; 98.8% CI, 89.7%-99.9%) of the patients. CONCLUSIONS: In the Netherlands, most ICUs used a standardized pain score in patients able to self-report. Nonteaching hospitals used pain assessment tools more often than teaching hospitals. In patients unable to self-report, pain is not routinely measured with a validated behavioral pain assessment tool. Almost all nurses in our survey felt that their assessment of patient pain was more accurate than behavioral pain assessment tools in patients unable to self-report. More research is needed to identify factors preventing more widespread acceptance of validated behavioral pain scores in patients unable to self-report.

The effect of acute kidney injury on long-term health-related quality of life: a prospective follow-up study.

INTRODUCTION: Acute kidney injury (AKI) is a serious complication in critically ill patients admitted to the Intensive Care Unit (ICU). We hypothesized that ICU survivors with AKI would have a worse health-related quality of life (HRQOL) outcome than ICU survivors without AKI. METHODS: We performed a long-term prospective observational study. Patients admitted for > 48 hours in a medical-surgical ICU were included and divided in two groups: patients who fulfilled RIFLE criteria for AKI and patients without AKI. We used the Short-Form 36 to evaluate HRQOL before admission (by proxy within 48 hours after admission of the patient), at ICU discharge, hospital discharge, 3 and 6 months following ICU discharge (all by patients). Recovery in HRQOL from ICU-admission onwards was assessed using linear mixed modelling. RESULTS: Between September 2000 and January 2007 all admissions were screened for study participation. We included a total of 749 patients. At six months after ICU discharge 73 patients with AKI and 325 patients without AKI could be evaluated. In survivors with and without AKI, the pre-admission HRQOL (by proxy) and at six months after ICU discharge was significantly lower compared with an age matched general population. Most SF-36 dimensions changed significantly over time from ICU discharge. Change over time of HRQOL between the different AKI Rifle classes (Risk, Injury, Failure) showed no significant differences. At ICU discharge, scores were lowest in the group with AKI compared with the group without AKI for the physical functioning, role-physical and general health dimensions. However, there were almost no differences in HRQOL between both groups at six months. CONCLUSIONS: The pre-admission HRQOL (by proxy) of AKI survivors was significantly lower in two dimensions compared with the age matched general population. Six months after ICU discharge survivors with and without AKI showed an almost similar HRQOL. However, compared with the general population with a similar age, HRQOL was poorer in both groups.

Mental health-related quality of life is related to delirium in intensive care patients.

PURPOSE: Delirium during intensive care unit (ICU) stay may be related to premorbid mental illness. In addition, delirium during ICU stay may also negatively affect long-term health-related quality of life. The aim of our study was to investigate if delirium in the ICU is related to premorbid mental quality of life and affects long-term mental quality of life after ICU stay. METHODS: We performed a prospective cohort study in 1021 patients admitted for longer than 48 h in a medical-surgical ICU. We evaluated mental and physical quality of life using the Short-form-12 before ICU admission, at hospital discharge, and 3, 6 and 12 months after hospital discharge. Mixed model and logistic regression models were used to analyze the data. RESULTS: Patients who experienced a delirium during ICU stay reported a worse pre-admission mental quality of life than those without delirium (p < 0.001). Furthermore, patients who suffered from delirium during their ICU stay exhibited a significant decrease in mental quality of life over time relative to patients without delirium (p = 0.035). CONCLUSION: In this large follow-up study, we demonstrated that ICU survivors who experienced a delirium during ICU stay reported a significantly worse pre-admission mental health-related quality of life and a significant decrease in mental health-related quality of life in the year after hospital discharge compared with patients without delirium.

SICQ Coping and the Health-Related Quality of Life and Recovery of Critically Ill ICU Patients: A Prospective Cohort Study.

BACKGROUND: The coping styles of the Sickness Insight in Coping Questionnaire (SICQ; positivism, redefinition, toughness, fighting spirit, nonacceptance) may affect the health and recovery of hospitalized critically ill patients. RESEARCH QUESTION: Do the SICQ coping styles of hospitalized critically ill patients relate to the patients health-related quality of life (HRQoL) and recovery? STUDY DESIGN AND METHODS: A prospective cohort study was conducted in a single university-affiliated Dutch hospital. Participants were critically ill adult patients admitted to a mixed medical-surgical ICU (start: n = 417; pre-ICU: n = 391; hospital discharge: n = 350; 3-month follow-up: n = 318; 6-month follow-up: n = 308; 12-month follow-up: n = 285). Coping was recorded with the SICQ pre-ICU and at discharge. HRQoL was measured with the SF-12 pre-ICU, at discharge, and 3, 6, and 12 months after discharge. Indicators of recovery were ICU and hospital length of stay, discharge disposition, and mortality. Correlation and regression analyses were used for data analysis. RESULTS: Positivism (r = 0.28-0.51), fighting spirit (r = 0.14-0.35), and redefinition (r = 0.12-0.23) associated significantly (P < .05) with mental HRQoL after discharge. Furthermore, positivism associated positively (P < .01) with physical HRQoL (r = 0.17-0.26) after discharge. Increase in positivism (r = 0.13), redefinition (r = 0.13), and toughness (r = 0.13) across the period of hospitalization associated positively (P ≤ .05) with mental HRQoL at discharge. Pre-ICU positivism associated with hospital length of stay (ρ = -.21, P ≤ .05) and hazard for death (HR = 0.57, P < .01) and had a unidirectional effect on mental HRQoL (ß = .30, P < .001). INTERPRETATION: SICQ coping is associated with long-term mental HRQoL, hospital length of stay, and hazard for death among hospitalized critically ill patients.

The Academic Medical Center Linear Disability Score for evaluation of physical reserve on admission to the ICU: can we query the relatives?

INTRODUCTION: Evaluating the pre-morbid functional status in critically ill patients is important and frequently done using the physical component score (PCS) of the Short Form 36, although this approach has its limitations. The Academic Medical Center Linear Disability Score (ALDS) is a recently developed generic item bank used to measure the disability status of patients with a broad range of diseases. We aimed to study whether proxy scoring with the ALDS could be used to assess the patients' functional status on admission for cardiac care unit (CCU) or ICU patients and how the ALDS relates to the PCS using the Short Form 12 (SF-12). METHODS: Patients and proxies completed the ALDS and SF-12 score in the first 72 hours following ICU scheduled surgery (n = 14), ICU emergency admission (n = 56) and CCU emergency admission (n = 70). RESULTS: In all patients (n = 140) a significant intra-class correlation was found for the ALDS (0.857), the PCS (0.798) and the mental component score (0.679) between patients and their proxy. In both scheduled and emergency admissions, a significant correlation was found between patients and their proxy for the ALDS, although the lowest correlation was found for the ICU scheduled admissions (0.755) compared with the ICU emergency admissions (0.889). In CCU patients, the highest significant correlation between patients and proxies was found for the ALDS (0.855), for the PCS (0.807) and for the mental component score (0.740). CONCLUSIONS: Relatives in close contact with critically ill patients can adequately reflect the patient's level of disability on ICU and CCU admission when using the ALDS item bank, which performed at least as well as the PCS. The ALDS could therefore be a useful alternative for the PCS of the SF-12.

Health-related quality of life in ICU survivors-10 years later.

Many Intensive Care (ICU) survivors experience long lasting impairments in physical and psychological health as well as social functioning. The objective of our study was to evaluate these effects up to 10 years after ICU discharge. We performed a long-term prospective cohort study in patients admitted for longer than 48 h in a medical-surgical ICU. We evaluated health-related quality of life (HRQOL) before ICU admission using the Short-form-36 (SF-36), at ICU discharge, at hospital discharge and at 1, 2, 5 and 10 years follow up (all by patients). Changes in HRQOL were assessed based on linear mixed modeling. We included a total of 749 patients (from 2000 to 2008). During 10 years 475 (63.4%) patients had died, 125 (16.7%) patients were lost to follow up and 149 (19.9%) patients could be evaluated. The mean scores of four HRQOL dimensions (i.e., physical functioning (p < 0.001; mean 54, SD 32, effect size 0.77, 95% CI [0.54-1.0]), role-physical (p < 0.001; mean 44, SD 47, effect size 0.65, 95% CI [0.41-0.68] general health (p < 0.001; mean 52, SD 27, effect size 0.48; 95% CI 0.25-0.71) and social functioning (p < 0.001; mean 72, SD 32, effect size 0.41, 95% CI [0.19-0.64]) were still lower 10 years after ICU discharge compared with pre-admission levels (n = 149) and with an age reference population. Almost all SF-36 dimensions changed significantly over time from ICU discharge up to 10 years after ICU discharge. Over the 10 year follow up physical functioning of medical-surgical ICU survivors remains impaired compared with their pre-admission values and an age reference population. However, effect sizes showed no significant differences suggesting that surviving patients largely regained their age-specific HRQOL at 10 years.

SURvival PRediction In SEverely Ill Patients Study-The Prediction of Survival in Critically Ill Patients by ICU Physicians.

The surprise question, "Would I be surprised if this patient died in the next 12 months?" is a tool to identify patients at high risk of death in the next year. Especially in the situation of an ICU admission, it is important to recognize patients who could and could not have the benefits of an intensive treatment in the ICU department. DESIGN AND SETTING: A single-center, prospective, observational cohort study was conducted between April 2013 and April 2018, in ICU Gelre hospitals, location Apeldoorn. PATIENTS: A total of 3,140 patients were included (57% male) with a mean age of 63.5 years. Seven-hundred thirteen patients (23%) died within 1 year. INTERVENTIONS: The physician answered three different surprise question's with either "yes" or "no": "I expect that the patient is going to survive the ICU admission" (surprise question 1), "I expect that the patient is going to survive the hospital stay" (surprise question 2), and "I expect that the patient is going to survive one year after ICU admission" (surprise question 3). We tested positive and negative predicted values of the surprise questions, the mean accuracy of the surprise questions, and kappa statistics. MEASUREMENTS AND MAIN RESULTS: The positive and negative predictive values of the surprise questions for ICU admission, hospital admission, and 1-year survival were, respectively, 64%/94%, 59%/92%, and 60%/86%. Accordingly, the mean accuracy and kappa statistics were 93% (95% CI, 92-94%), κ equals to 0.43, 89% (95% CI, 88-90%), κ equals to 0.40, and 81% (95% CI, 80-82%), κ equals to 0.43. CONCLUSIONS: The frequently overlooked simple and cheap surprise question is probably an useful tool to evaluate the prognosis of acutely admitted critically ill patients.

Health-related quality of life in critically ill patients: how to score and what is the clinical impact?

PURPOSE OF REVIEW: Traditionally, the assessment of critical care has focused largely on mortality. However, in the last few years, there is more attention on the quality of survival. Health-related quality of life (HRQOL) is an important issue for both patients and family. The purpose of this review is to describe HRQOL scoring in critically ill patients and to discuss the clinical impact on HRQOL. RECENT FINDINGS: Studies on the effect of critical illness on HRQOL show contradicting results. Several studies found that HRQOL at the time of discharge from hospital was impaired and that a gradual improvement occurred during follow-up, in some cases to preadmission hospital levels. Others show a full recovery to preadmission HRQOL. SUMMARY: In this article, we reviewed the methods and description of measurement instruments used in critically ill patients. The most recently used instruments to measure HRQOL, how to score HRQOL before ICU admission and the impact of critical illness on HRQOL are discussed. Assessment of HRQOL can improve the answers given by critical care physicians and nurses about the prospects of their patients. To get insights in these issues regarding the impact of ICU treatment, we should incorporate not only short-term outcomes, for example length of stay and mortality, but also HRQOL.

Conceptual issues specifically related to health-related quality of life in critically ill patients.

During recent years increasing attention has been given to the quality of survival in critical care. Health-related quality of life (HRQOL) is an important issue both for patients and their families. Furthermore, admission to the intensive care unit can have adverse psychological effects in critically ill patients. Recent studies conducted in critically ill patients have measured HRQOL. However, usually absent from such reports are evaluations of conceptual issues, addressing factors such as why HRQOL should be measured in critically ill patients, how to define and standardize domains of HRQOL, whether proxies can provide useful information about HRQOL in critically ill patients, whether response shift occurs in critically ill patients, and whether post-traumatic stress disorder (PTSD) occurs in critically ill patients. Some studies reported moderate agreement between patients and their proxies, although lower levels of agreement may be reported for psychosocial or physical functioning. Response shift (adaptation and change in perception) appears to be an important phenomenon and likely to be present, but it is seldom measured when estimating HRQOL in critically ill patients. Furthermore, vigilance for symptoms of PTSD and early interventions to prevent PTSD are needed.

Physical impairment and perceived general health preceding critical illness is predictive of survival.

PURPOSE: We hypothesized that item response based assessment of physical reserve preceding ICU admission is a predictor of survival. METHODS: We evaluated physical functioning using the Academic Medical Center Linear Disability Score (ALDS) and quality of life using the first question (SF-1) and the physical component score (PCS-12) from the Short-form 12 (SF-12) before admission by patients or by close proxies within 72 h after ICU admission during 1 year. RESULTS: We developed four logistic regression models to predict 1 year mortality using the predictors age, gender, ALDS, SF-1, PCS-12. A total of 510 patients participated. Twelve months after ICU discharge, 110 patients (22%) had died. Pre-admission ALDS (p = .004), and SF-1 (p = .012) improved the prediction models with age and gender PCS-12 showed no association with mortality (p = .062). Adding the ALDS (p = .049) and the SF-1 (p = .048) to a model with age, gender and the APACHE II score (improved the model. Adding PCS-12 showed no association with mortality (p = .355). CONCLUSIONS: Physical reserve as assessed by ALDS and perceived general health, preceding ICU admission is predictive of mortality. Obtaining patient's physical reserve or pre-existing perceived general health should be part of routine assessment whether a patient may benefit from ICU admission.

Identifying improvement opportunities for patient- and family-centered care in the ICU: Using qualitative methods to understand family perspectives.

PURPOSE: The purposes of the study were to provide richer context for families' quantitative assessments of the quality of ICU care, and to describe further quality areas of importance for family members. MATERIALS AND METHODS: Free-text comments from 1077 family members of 920 patients focusing on family evaluation of ICU quality of care were analyzed using content analysis. Twenty-one Danish and Dutch ICUs participated from October 2014 to June 2015. RESULTS: Four themes emerged as important to families: information, clinician skills, ICU environment, and discharge from the ICU. Families highlighted the importance of receiving information that was accessible, understandable and honest. They indicated that quality care was ensured by having clinicians who were both technically and interpersonally competent. The ICU environment and the circumstances of the transfer out of the ICU were described as contributing to quality of care. The comments identified room for improvement within all themes. CONCLUSIONS: The study highlights the importance of including both technical and emotional care for patients and families and the consequent need to focus on clinicians' mastery of interpersonal skills.

The impact of critical illness on perceived health-related quality of life during ICU treatment, hospital stay, and after hospital discharge: a long-term follow-up study.

BACKGROUND: The time course of changes in health-related quality of life (HRQOL) following discharge from the ICU and during a general ward stay has not been studied. We therefore studied the immediate impact of critical illness on HRQOL and its recovery over time. METHODS: In a prospective study, all patients admitted to the ICU for > 48 h who ultimately survived to follow-up at 6 months were included. The Medical Outcomes Study 36-item short form was used to measure HRQOL before ICU admission, at discharge from the ICU and hospital, and at 3 and 6 months following discharge from the ICU and hospital. An age-matched healthy Dutch population was used as a reference. RESULTS: Of the 451 included patients, 252 could be evaluated at 6 months (40 were lost to follow-up, and 159 died). Pre-ICU admission HRQOL in survivors was significantly worse compared to the healthy population. Patients who died between ICU admission and long-term follow-up had significantly worse HRQOL in all dimensions already at ICU admission when compared to the long-term survivors. HRQOL decreased in all dimensions (p < 0.001) during ICU stay followed by a rapid improvement during hospital stay, gradually improving to near pre-ICU admission HRQOL at 6 months following ICU discharge. Physical functioning (PF), general health (GH), and social functioning (SF) remained significantly lower than pre-ICU admission values. Compared to the healthy Dutch population, ICU survivors had significantly lower HRQOL 6 months following ICU discharge (except for the bodily pain score). CONCLUSIONS: A sharp multidimensional decline in HRQOL occurs during ICU admission where recovery already starts following ICU discharge to the general ward. Recovery is incomplete for PF, GH, and SF when compared to baseline values and the healthy population.

The impact of severe sepsis on health-related quality of life: a long-term follow-up study.

BACKGROUND: Severe sepsis is frequently complicated by organ failure and accompanied by high mortality. Patients surviving severe sepsis can have impaired health-related quality of life (HRQOL). The time course of changes in HRQOL in severe sepsis survivors after discharge from the intensive care unit (ICU) and during a general ward stay have not been studied. METHODS: We performed a long-term prospective study in a medical-surgical ICU. Patients with severe sepsis (n = 170) admitted for >48 h were included in the study. We used the Short-form 36 to evaluate the HRQOL of severe sepsis patients before ICU and hospital stay and at 3 and 6 mo after ICU discharge. Furthermore, we compared the results for ICU admission and 6 mo after ICU discharge with those of an age-matched general Dutch population. RESULTS: At 6 mo after ICU discharge, 95 patients could be evaluated (eight patients were lost to follow-up, 67 died). HRQOL showed a multidimensional decline during the ICU stay and gradual improvement over the 6 mo after ICU discharge for the social functioning, vitality, role-emotional, and mental health dimensions. However, 6 mo after ICU discharge, scores for the physical functioning, role-physical, and general health dimensions were still significantly lower than preadmission values. Physical and Mental Component Scores changed significantly over time. In particular, the Mental Component Score showed a small decline at ICU discharge but recovered rapidly, and at 6 mo after ICU discharge had improved to near normal values. In addition, Short-form 36 scores were lower than those in a matched general population in six of the eight dimensions, with the exception of social functioning and bodily pain. Interestingly, the preadmission HRQOL in surviving patients was already lower in three of the eight dimensions (role-physical, mental health, and vitality) when compared with the general population. CONCLUSIONS: Severe sepsis patients demonstrate a sharp decline of HRQOL during ICU stay and a gradual improvement during the 6 mo after ICU discharge. Recovery begins after ICU discharge to the general ward. Nevertheless, recovery is incomplete in the physical functioning, role-physical, and general health dimensions at 6 mo after ICU discharge compared with preadmission status.

Experiences of critically ill patients in the ICU.

BACKGROUND: Experiences of critically ill patients are an important aspect of the quality of care in the intensive care (ICU). OBJECTIVE: The aims of the study were firstly, to evaluate the perceptions of patients regarding nursing care in the ICU, and secondly, to explore patients' perceptions and experiences of ICU stay. METHOD: A qualitative approach using a semi-structured focused interview in 11 patients was used (phase 1), followed by a quantitative approach using a self-reported questionnaire in 100 patients, 62 were returned and 50 could be evaluated (phase 2). RESULTS: A number of themes emerged from the interviews (phase 1), although support dominated as an important key theme. This was experienced as a continuum from the feeling being supported by the nurse to not being supported. This key theme was central to each of the three categories emerging from the data pertaining to: (1) providing the seriously ill patient with information and explanation, (2) placing the patient in a central position and (3) personal approach by the nurse. The responders to the subsequent questionnaire (phase 2) predominantly experienced sleeping disorders (48%), mostly related to the presence of noise (54%). Psychological problems after ICU stay were reported by 11% of the patients, i.e. fear, inability to concentrate, complaints of depression and hallucinations. CONCLUSIONS: Although the nurses' expertise and technical skills are considered important, caring behaviour, relieving the patient of fear and worries were experienced as most valuable in bedside critical care.

Quality of dying and death in the ICU. The euroQ2 project.

PURPOSE: Knowledge of families' perspective of quality of intensive care unit (ICU) care is important, especially with regard to end-of-life (EOL) care. Adaptation of the US-developed "Quality of dying and death questionnaire" (QODD) to a European setting is lacking. The primary aim of this study is to examine the euroQODD's usability and its assessments of EOL care in a cohort of Danish and Dutch family members. METHODS: Family members of patients dying in an ICU after a stay of at least 48h were sent the euroQODD three weeks after the patient died. Selected patient characteristics were obtained from hospital records. A total of 11 Danish and 10 Dutch ICU's participated. RESULTS: 217 family members completed the euroQODD part of the euroQ2 questionnaire. Overall rating of care was high, a median of 9 in Netherlands and 10 in Denmark on a 0-10 scale (p<0.001). The Danish were more likely to report adequate pain control all or most of the time (95% vs 73%; p<0.001). When decisions were made to limit treatment, the majority of family members agreed (93%). Most (92%) reported some participation in the decision-making, with half (50%) making the decision jointly with the doctor. About 18% would have preferred greater involvement. Factor analysis identified a six-indicator unidimensional quality of dying and death construct with between-country measurement invariance. However, in its current form the euroQODD instrument requires modeling the six items as reflective (or effect) indicators, when they are more accurately conceived as causal indicators. CONCLUSIONS: The majority of family members were satisfied with the quality of EOL care and quality of dying and death. They agreed with decisions made to limit treatment and most felt they had participated to some extent in decision-making, although some would have preferred greater participation. Addition of items that can be accurately treated as effect indicators will improve the instrument's usefulness in measuring the overall quality of dying and death.

Clinical practices to promote sleep in the ICU: A multinational survey.

PURPOSE: To describe sleep assessment and strategies to promote sleep in adult ICUs in ten countries. METHODS: Multicenter, self-administered survey sent to nurse managers. RESULTS: Response rate was 66% with 522 ICUs providing data. 'Lying quietly with closed eyes' was the characteristic most frequently perceived as indicative of sleep by >60% of responding ICUs in all countries except Italy. Few ICUs (9%) had a protocol for sleep management or used sleep questionnaires (1%). Compared to ICUs in Northern Europe, those in central Europe were more likely to have a sleep promoting protocol (p < 0.001), and to want to implement a protocol (p < 0.001). In >80% of responding ICUs, the most common non-pharmacological sleep-promoting interventions were reducing ICU staff noise, light, and nurse interventions at night; only 18% used earplugs frequently. Approximately 50% of ICUs reported sleep medication selection and assessment of effect were performed by physicians and nurses collaboratively. A multivariable model identified perceived nursing influence on sleep decision-making was associated with asking patients or family about sleep preferences (p = 0.004). CONCLUSIONS: We found variation in sleep promotion interventions across European regions with few ICUs using sleep assessment questionnaires or sleep promoting protocols. However, many ICUs perceive implementation of sleep protocols important, particularly those in central Europe.

Quality of life before intensive care unit admission is a predictor of survival.

INTRODUCTION: Predicting whether a critically ill patient will survive intensive care treatment remains difficult. The advantages of a validated strategy to identify those patients who will not benefit from intensive care unit (ICU) treatment are evident. Providing critical care treatment to patients who will ultimately die in the ICU is accompanied by an enormous emotional and physical burden for both patients and their relatives. The purpose of the present study was to examine whether health-related quality of life (HRQOL) before admission to the ICU can be used as a predictor of mortality. METHODS: We conducted a prospective cohort study in a university-affiliated teaching hospital. Patients admitted to the ICU for longer than 48 hours were included. Close relatives completed the Short-form 36 (SF-36) within the first 48 hours of admission to assess pre-admission HRQOL of the patient. Mortality was evaluated from ICU admittance until 6 months after ICU discharge. Logistic regression and receiver operating characteristic analyses were used to assess the predictive value for mortality using five models: the first question of the SF-36 on general health (model A); HRQOL measured using the physical component score (PCS) and mental component score (MCS) of the SF-36 (model B); the Acute Physiology and Chronic Health Evaluation (APACHE) II score (an accepted mortality prediction model in ICU patients; model C); general health and APACHE II score (model D); and PCS, MCS and APACHE II score (model E). Classification tables were used to assess the sensitivity, specificity, positive and negative predictive values, and likelihood ratios. RESULTS: A total of 451 patients were included within 48 hours of admission to the ICU. At 6 months of follow up, 159 patients had died and 40 patients were lost to follow up. When the general health item was used as an estimate of HRQOL, area under the curve for model A (0.719) was comparable to that of model C (0.721) and slightly better than that of model D (0.760). When PCS and MCS were used, the area under the curve for model B (0.736) was comparable to that of model C (0.721) and slightly better than that of model E (0.768). When using the general health item, the sensitivity and specificity in model D (sensitivity 0.52 and specificity 0.81) were similar to those in model A (0.45 and 0.80). Similar results were found when using the MCS and PCS. CONCLUSION: This study shows that the pre-admission HRQOL measured with either the one-item general health question or the complete SF-36 is as good at predicting survival/mortality in ICU patients as the APACHE II score. The value of these measures in clinical practice is limited, although it seems sensible to incorporate assessment of HRQOL into the many variables considered when deciding whether a patient should be admitted to the ICU.