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Development of an ICU discharge instrument predicting psychological morbidity: a multinational study.

ABSTRACT: PURPOSE:To develop an instrument for use at ICU discharge for prediction of psychological problems in ICU survivors. METHODS:Multinational, prospective cohort study in ten general ICUs in secondary and tertiary care hospitals in Sweden, Denmark and the Netherlands. Adult patients with an ICU stay???12 h were eligible for inclusion. Patients in need of neurointensive care, with documented cognitive impairment, unable to communicate in the local language, without a home address or with more than one limitation of therapy were excluded. Primary outcome was psychological morbidity 3 months after ICU discharge, defined as Hospital Anxiety and Depression Scale (HADS) subscale score???11 or Post-traumatic Stress Symptoms Checklist-14 (PTSS-14) part B score?>?45. RESULTS:A total of 572 patients were included and 78% of patients alive at follow-up responded to questionnaires. Twenty percent were classified as having psychological problems post-ICU. Of 18 potential risk factors, four were included in the final prediction model after multivariable logistic regression analysis: symptoms of depression [odds ratio (OR) 1.29, 95% confidence interval (CI) 1.10-1.50], traumatic memories (OR 1.44, 95% CI 1.13-1.82), lack of social support (OR 3.28, 95% CI 1.47-7.32) and age (age-dependent OR, peak risk at age 49-65 years). The area under the receiver operating characteristics curve (AUC) for the instrument was 0.76 (95% CI 0.70-0.81). CONCLUSIONS:We developed an instrument to predict individual patients' risk for psychological problems 3 months post-ICU, http://www.imm.ki.se/biostatistics/calculators/psychmorb/ . The instrument can be used for triage of patients for psychological ICU follow-up. TRIAL REGISTRATION:The study was registered at clinicaltrials.gov, NCT02679157.

SUBMITTER: Milton A

PROVIDER: S-EPMC6280826 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature

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Development of an ICU discharge instrument predicting psychological morbidity: a multinational study.

Milton A A Schandl A A Soliman I W IW Meijers K K van den Boogaard M M Larsson I M IM Brorsson C C Östberg U U Oxenbøll-Collet M M Savilampi J J Paskins S S Bottai M M Sackey P V PV

Intensive care medicine 20181122 12

<h4>Purpose</h4>To develop an instrument for use at ICU discharge for prediction of psychological problems in ICU survivors.<h4>Methods</h4>Multinational, prospective cohort study in ten general ICUs in secondary and tertiary care hospitals in Sweden, Denmark and the Netherlands. Adult patients with an ICU stay ≥ 12 h were eligible for inclusion. Patients in need of neurointensive care, with documented cognitive impairment, unable to communicate in the local language, without a home address or w ...[more]

PMID: 30467678

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Project description:IntroductionGuidelines recommend follow-up for patients after an intensive care unit (ICU) stay. Methods for identifying patients with psychological problems after intensive care would be of value, to optimize treatment and to improve adequate resource allocation in ICU follow-up of ICU survivors. The aim of the study was to develop a predictive screening instrument, for use at ICU discharge, to identify patients at risk for post-traumatic stress, anxiety or depression.MethodsTwenty-one potential risk factors for psychological problems - patient characteristics and ICU-related variables - were prospectively collected at ICU discharge. Two months after ICU discharge 252 ICU survivors received the questionnaires Post-Traumatic Stress Symptom scale -10 (PTSS-10) and Hospital Anxiety and Depression Scale (HADS) to estimate the degree of post-traumatic stress, anxiety and depression.ResultsOf the 150 responders, 46 patients (31%) had adverse psychological outcome, defined as PTSS-10 >35 and/or HADS subscales ?8. After analysis, six predictors were included in the screening instrument: major pre-existing disease, being a parent to children younger than 18 years of age, previous psychological problems, in-ICU agitation, being unemployed or on sick-leave at ICU admission and appearing depressed in the ICU. The total risk score was related to the probability for adverse psychological outcome in the individual patient. The predictive accuracy of the screening instrument, as assessed with area under the receiver operating characteristic curve, was 0.77. When categorizing patients in three risk probability groups - low (0 to 29%), moderate (30 to 59%) high risk (60 to 100%), the actual prevalence of adverse psychological outcome in respective groups was 12%, 50% and 63%.ConclusionThe screening instrument developed in this study may aid ICU clinicians in identifying patients at risk for adverse psychological outcome two months after critical illness. Prior to wider clinical use, external validation is needed.

Project description:Increase in mortality and in recurrent infections in the year following ICU discharge continues in survivors of septic shock, even after total clinical recovery from the initial septic event and its complications. This supports the hypothesis that sepsis could induce persistent long-term immune dysfunctions. To date, there is almost no data on ICU discharge and long-term evolution of sepsis-induced immunosuppression in septic shock survivors. The aim of this study was to assess the persistence of sepsis-induced immunosuppression by measuring expression of human leukocyte antigen DR on monocytes (mHLA-DR), CD4+ T cells, and regulatory T cells (Treg) at ICU discharge and 6 months after ICU discharge in patients admitted to the ICU for septic shock.In this prospective observational study, septic shock survivors with no preexisting immune suppression or treatment interfering with the immune system were included. mHLA-DR, CD4+ T cells, and Treg expression were assessed on day 1-2, 3-4, and 6-8 after ICU admission, at ICU discharge, and 6 months after ICU discharge.A total of 40 patients were enrolled during their ICU stay: 21 males (52.5%) and 19 females, median age 68 years (IQR 58-77), median SOFA score on day 1-2 was 8 (IQR 7-9), and median ICU length of stay was 11 days (IQR 7-24). Among these 40 patients, 33 were studied at ICU discharge and 15 were disposed for blood sampling 6 months after ICU discharge. On day 1-2, mHLA-DR expression was abnormally low for all patients [median 4212 (IQR 2640-6047) AB/C] and remained abnormally low at ICU discharge for 75% of them [median 10,281 (IQR 7719-13,035) AB/C]. On day 3-4, 46% of patients presented CD4+ lymphopenia [median 515 (IQR 343-724) mm-3] versus 34% at ICU discharge [median 642 (IQR 459-846) mm-3]. Among patients with a 6-month blood sample, normal values of mHLA-DR were found for all patients [median 32,616 (IQR 24,918-38,738) AB/C] except for one and only another one presented CD4+ lymphopenia.While immune alterations persist at ICU discharge, there is, at cellular level, no persistent immune alterations among septic shock survivors analyzed 6 months after ICU discharge.

Project description:OBJECTIVES:To develop a valid, reliable measure that reflected the environment of respectfulness within the ICU setting. DESIGN:We developed a preliminary survey instrument based on conceptual domains of respect identified through prior qualitative analyses of ICU patient, family member, and clinician perspectives. The initial instrument consisted of 21 items. After five cognitive interviews and 16 pilot surveys, we revised the instrument to include 23 items. We used standard psychometric methods to analyze the instrument. SETTINGS:Eight ICUs serving adult patients affiliated with a large university health system. SUBJECTS:ICU clinicians. INTERVENTIONS:None. MEASUREMENTS AND MAIN RESULTS:Based on 249 responses, we identified three factors and created subscales: General Respect, Respectful Behaviors, and Disrespectful Behaviors. The General Respect subscale had seven items (? = 0.932) and reflected how often patients in the ICU are treated with respect, in a dignified manner, as an individual, equally to all other patients, on the "same level" as the ICU team, as a person, and as you yourself would want to be treated. The Respectful Behaviors subscale had 10 items (? = 0.926) and reflected how often the ICU team responds to patient and/or family anxiety, makes an effort to get to know the patient and family as people, listens carefully, explains things thoroughly, gives the opportunity to provide input into care, protects patient modesty, greets when entering room, and talks to sedated patients. The subscale measuring disrespect has four items (? = 0.702) and reflects how often the ICU team dismisses family concerns, talks down to patients and families, speaks disrespectfully behind their backs, and gets frustrated with patients and families. CONCLUSIONS:We created a reliable set of scales to measure the climate of respectfulness in intensive care settings. These measures can be used for ongoing quality improvement that aim to enhance the experience of ICU patients and their families.

Project description:IntroductionEarly discharge from the ICU is desirable because it shortens time in the ICU and reduces care costs, but can also increase the likelihood of ICU readmission and post-discharge unanticipated death if patients are discharged before they are stable. We postulated that, using eICU® Research Institute (eRI) data from >400 ICUs, we could develop robust models predictive of post-discharge death and readmission that may be incorporated into future clinical information systems (CIS) to assist ICU discharge planning.MethodsRetrospective, multi-center, exploratory cohort study of ICU survivors within the eRI database between 1/1/2007 and 3/31/2011.Exclusion criteriaDNR or care limitations at ICU discharge and discharge to location external to hospital. Patients were randomized (2?1) to development and validation cohorts. Multivariable logistic regression was performed on a broad range of variables including: patient demographics, ICU admission diagnosis, admission severity of illness, laboratory values and physiologic variables present during the last 24 hours of the ICU stay. Multiple imputation was used to address missing data. The primary outcomes were the area under the receiver operator characteristic curves (auROC) in the validation cohorts for the models predicting readmission and death within 48 hours of ICU discharge.Results469,976 and 234,987 patients representing 219 hospitals were in the development and validation cohorts. Early ICU readmission and death was experienced by 2.54% and 0.92% of all patients, respectively. The relationship between predictors and outcomes (death vs readmission) differed, justifying the need for separate models. The models for early readmission and death produced auROCs of 0.71 and 0.92, respectively. Both models calibrated well across risk groups.ConclusionsOur models for death and readmission after ICU discharge showed good to excellent discrimination and good calibration. Although prospective validation is warranted, we speculate that these models may have value in assisting clinicians with ICU discharge planning.

Project description:Despite myriad efforts among social scientists, epidemiologists, and clinicians to identify variables with strong linkages to mortality, few researchers have evaluated statistically the relative strength of a comprehensive set of predictors of survival. Here, we determine the strongest predictors of five-year mortality in four national, prospective studies of older adults. We analyze nationally representative surveys of older adults in four countries with similar levels of life expectancy: England (n = 6113, ages 52+), the US (n = 2023, ages 50+), Costa Rica (n = 2694, ages 60+), and Taiwan (n = 1032, ages 53+). Each survey includes a broad set of demographic, social, health, and biological variables that have been shown previously to predict mortality. We rank 57 predictors, 25 of which are available in all four countries, net of age and sex. We use the area under the receiver operating characteristic curve and assess robustness with additional discrimination measures. We demonstrate consistent findings across four countries with different cultural traditions, levels of economic development, and epidemiological transitions. Self-reported measures of instrumental activities of daily living limitations, mobility limitations, and overall self-assessed health are among the top predictors in all four samples. C-reactive protein, additional inflammatory markers, homocysteine, serum albumin, three performance assessments (gait speed, grip strength, and chair stands), and exercise frequency also discriminate well between decedents and survivors when these measures are available. We identify several promising candidates that could improve mortality prediction for both population-based and clinical populations. Better prognostic tools are likely to provide researchers with new insights into the behavioral and biological pathways that underlie social stratification in health and may allow physicians to have more informed discussions with patients about end-of-life treatment and priorities.

Project description:BackgroundVariation in intensive care unit (ICU) readmissions and in-hospital mortality after ICU discharge may indicate potential for improvement and could be explained by ICU discharge practices. Our objective was threefold: (1) describe variation in rates of ICU readmissions within 48 h and post-ICU in-hospital mortality, (2) describe ICU discharge practices in Dutch hospitals, and (3) study the association between rates of ICU readmissions within 48 h and post-ICU in-hospital mortality and ICU discharge practices.MethodsWe analysed data on 42,040 admissions to 82 (91.1%) Dutch ICUs in 2011 from the Dutch National Intensive Care Evaluation (NICE) registry to describe variation in standardized ICU readmission and post-ICU mortality rates using funnel-plots. We send a questionnaire to all Dutch ICUs. 75 ICUs responded and their questionnaire data could be linked to 38,498 admissions in the NICE registry. Generalized estimation equations analyses were used to study the association between ICU readmissions and post-ICU mortality rates and the identified discharge practices, i.e. (1) ICU discharge criteria; (2) bed managers; (3) early discharge planning; (4) step-down facilities; (5) medication reconciliation; (6) verbal and written handover; (7) monitoring of post-ICU patients; and (8) consulting ICU nurses. In all analyses, the outcomes were corrected for patient-related confounding factors.ResultsThe standardized rate of ICU readmissions varied between 0.14 and 2.67 and 20.8% of the hospitals fell outside the 95% control limits and 3.6% outside the 99.8% control limits. The standardized rate of post-ICU mortality varied between 0.07 and 2.07 and 17.1% of the hospitals fell outside the 95% control limits and 4.9% outside the 99.8% control limits. We could not demonstrate an association between the eight ICU discharge practices and rates of ICU readmissions or post-ICU in-hospital mortality. Implementing a higher number of ICU discharge practices was also not associated with better patient outcomes.ConclusionsWe found both variation in patient outcomes and variation in ICU discharge practices between ICUs. However, we found no association between discharge practices and rates of ICU readmissions or post-ICU mortality. Further research is necessary to find factors, which may influence these patient outcomes, in order to improve quality of care.

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Development of an ICU discharge instrument predicting psychological morbidity: a multinational study.

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Development of an ICU discharge instrument predicting psychological morbidity: a multinational study.

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