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To Trach or Not to Trach: Uncertainty in the Care of the Chronically Critically Ill.

ABSTRACT: The number of chronically critically ill patients requiring prolonged mechanical ventilation and receiving a tracheostomy is steadily increasing. Early tracheostomy in patients requiring prolonged mechanical ventilation has been proposed to decrease duration of mechanical ventilation and intensive care unit stay, reduce mortality, and improve patient comfort. However, these benefits have been difficult to demonstrate in clinical trials. So how does one determine the appropriate timing for tracheostomy placement in your patient? Here we review the potential benefits and consequences of tracheostomy, the available evidence for tracheostomy timing, communication surrounding the tracheostomy decision, and a patient-centered approach to tracheostomy. Patients requiring > 10 days of mechanical ventilation who are expected to survive their hospitalization likely benefit from tracheostomy, but protocols involving routine early tracheostomy placement do not improve patient outcomes. However, patients with neurologic injury, provided they have a good prognosis for meaningful recovery, may benefit from early tracheostomy. In chronically critically ill patients with poor prognosis, tracheostomy is unlikely to provide benefit and should only be pursued if it is consistent with the patient's values, goals, and preferences. In this setting, communication with patients and surrogates regarding tracheostomy and prognosis becomes paramount. For the foreseeable future, decisions surrounding tracheostomy will remain relevant and challenging.

SUBMITTER: Bice T

PROVIDER: S-EPMC4809243 | biostudies-literature | 2015 Dec

REPOSITORIES: biostudies-literature

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To Trach or Not to Trach: Uncertainty in the Care of the Chronically Critically Ill.

Bice Thomas T Nelson Judith E JE Carson Shannon S SS

Seminars in respiratory and critical care medicine 20151123 6

The number of chronically critically ill patients requiring prolonged mechanical ventilation and receiving a tracheostomy is steadily increasing. Early tracheostomy in patients requiring prolonged mechanical ventilation has been proposed to decrease duration of mechanical ventilation and intensive care unit stay, reduce mortality, and improve patient comfort. However, these benefits have been difficult to demonstrate in clinical trials. So how does one determine the appropriate timing for trache ...[more]

PMID: 26595045

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Project description:Background:Protracted treatment on intensive care unit (ICU) sets the patients at increased risk for the development of chronic critical illness (CCI). Muscular and cardio-respiratory deconditioning are common long-term sequelae, going along with a state of chronic fatigue. At present, findings regarding the frequency, long-term course, and associated factors of self-reported fatigue following ICU treatment of CCI patients are lacking. Methods:CCI patients with the diagnosis of critical illness polyneuropathy/myopathy (CIP/CIM) were assessed at three time points. Four weeks following the discharge from ICU at acute care hospital (t1), eligibility for study participation was asserted. Self-reported fatigue was measured using the Multidimensional Fatigue Inventory (MFI-20) via telephone contact at 3 (t2, n?=?113) and 6 months (t3, n?=?91) following discharge from ICU at acute care hospital. Results:At both 3 and 6 months, nearly every second CCI patient showed clinically relevant fatigue symptoms (t2/t3: n?=?53/n?=?51, point prevalence rates: 46.9%/45.1%). While total fatigue scores remained stable in the whole sample, female patients showed a decrease from 3 to 6 months. The presence of a coronary heart disease, the perceived fear of dying at acute care ICU, a diagnosis of major depression, and the perceived social support were confirmed as significant correlates of fatigue at 3 months. At 6 months, male gender, the number of medical comorbidities, a diagnosis of major depression, and a prior history of anxiety disorder could be identified. A negative impact of fatigue on the perceived health-related quality of life could be ascertained. Conclusions:Nearly every second CCI patient showed fatigue symptoms up to 6 months post-ICU. Patients at risk should be informed about fatigue, and appropriate treatment options should be offered to them. Trial registration:The present study was registered retrospectively at the German Clinical Trials Register (date of registration: 13th of December 2011; registration number: DRKS00003386). Date of enrolment of the first participant to the present trial: 09th of November 2011.

Project description:BackgroundFatigue often occurs as long-term complication in chronically critically ill (CCI) patients after prolonged intensive care treatment. The Multidimensional Fatigue Inventory (MFI-20) has been established as valid instrument to measure fatigue in a wide range of medical illnesses. Regarding the measurement of fatigue in CCI patients, the psychometric properties of the MFI-20 have not been investigated so far. Thus, the present study examines reliability and validity of the MFI-20 in CCI patients.MethodsA convenience sample of n?=?195 patients with Critical Illness Polyneuropathy (CIP) or Myopathy (CIM) were recruited via personal contact within four weeks (t1) following the transfer from acute care ICU to post-acute ICU at a large rehabilitation hospital. N?=?113 (median age 61.1 yrs., 72.6% men) patients were again contacted via telephone three (t2) and six (t3) months following the transfer to post-acute ICU. The MFI-20, the Euro-Quality of Life (EQ-5D-3 L) and the Structured Clinical Interview for the Diagnostic and Statistical Manual of mental disorders DSM-IV (SCID-I) were applied within this prospective cohort study.ResultsThe internal consistency Cronbach's ? was adequate for the MFI-total and all but the subscale Reduced Motivation (RM) (range: .50-.91). Item-to-total correlations (range: .22-.80) indicated item redundancy for the subscale RM. Confirmatory Factor analyses (CFAs) revealed poor model fit for the original 5-factor model of the MFI-20 (t2/t3, Confirmatory Fit Index, CFI?=?.783/ .834; Tucker-Lewis Index, TLI?=?.751/ .809; Root Mean Square Error of Approximation, RMSEA?=?.112/ .103). Among the alternative models (1-, 2-, 3-factor models), the data best fit to a 3-factor solution summarizing the highly correlated factors General -/ Physical Fatigue/ Reduced Activity (GF/ PF/ RA) (t2/ t3, CFI?=?.878/ .896, TLI?=?.846/ .869, RMSEA?=?.089/ .085, 90% Confidence Interval .073-.104/ .066-.104). The MFI-total score significantly correlated with the health-related quality of life (range: -.65-(-).66) and the diagnosis of major depression (range: .27-.37).ConclusionsIn the present sample of CCI patients, a reliable and valid factor structure of the MFI-20 could not be ascertained. Especially the subscale RM should be revised. Since the factors GF, PF and RA cannot be separated from each other and the unclear factorial structure in the present sample of CCI patients, the MFI-20 is not recommended for use in this context.Trial registrationGerman Clinical Trials Registration DRKS00003386 . Registered 13 December 2011, retrospectively registered.

Project description:To identify the relationships between advance directive status, demographic characteristics and decisional burden (role stress and depressive symptoms) of surrogate decision-makers (SDMs) of patients with chronic critical illness.Although the prevalence of advance directives among Americans has increased, SDMs are ultimately responsible for complex medical decisions of the chronically critically ill patient. Decisional burden has lasting psychological effects on SDMs. There is insufficient evidence on the influence of advance directives on the decisional burden of surrogate decision-makers of patients with chronic critical illness.The study was a secondary data analysis of cross-sectional data. Data were obtained from 489 surrogate decision-makers of chronically critically ill patients at two academic medical centres in Northeast Ohio, United States, between September 2005-May 2008.Data were collected using demographic forms and questionnaires. A single-item measure of role stress and the Center for Epidemiological Studies Depression (CESD) scale were used to capture the SDM's decisional burden. Descriptive statistics, t-tests, chi-square and path analyses were performed.Surrogate decision-makers who were nonwhite, with low socioeconomic status and low education level were less likely to have advance directive documentation for their chronically critically ill patient. The presence of an advance directive mitigates the decisional burden by directly reducing the SDM's role stress and indirectly lessening the severity of depressive symptoms.Most SDMs of chronically critically ill patients will not have the benefit of knowing the patient's preferences for life-sustaining therapies and consequently be at risk of increased decisional burden.Study results are clinically useful for patient education on the influence of advance directives. Patients may be informed that SDMs without advance directives are at risk of increased decisional burden and will require decisional support to facilitate patient-centred decision-making.

Project description:Background: Systemic inflammation is a whole body reaction that can have an infection-positive (i.e. sepsis) or infection-negative origin. It is important to distinguish between septic and non-septic presentations early and reliably, because this has significant therapeutic implications for critically ill patients. We hypothesized that a molecular classifier based on a small number of RNAs expressed in peripheral blood could be discovered that would: 1) determine which patients with systemic inflammation had sepsis; 2) be robust across independent patient cohorts; 3) be insensitive to disease severity; and 4) provide diagnostic utility. The overall goal of this study was to identify and validate such a molecular classifier. Methods and Findings: We conducted an observational, non-interventional study of adult patients recruited from tertiary intensive care units (ICU). Biomarker discovery was conducted with an Australian cohort (n = 105) consisting of sepsis patients and post -surgical patients with infection-negative systemic inflammation. Using this cohort, a four-gene classifier consisting of a combination of CEACAM4, LAMP1, PLA2G7 and PLAC8 RNA biomarkers was identified. This classifier, designated SeptiCyteÂ® Lab, was externally validated using RT-qPCR and receiver operating characteristic (ROC) curve analysis in five cohorts (n = 345) from the Netherlands. Cohort 1 (n=59) consisted of unambiguous septic cases and infection-negative systemic inflammation controls; SeptiCyteÂ® Lab gave an area under curve (AUC) of 0.96 (95% CI: 0.91-1.00). ROC analysis of a more heterogeneous group of patients (Cohorts 2-5; 249 patients after excluding 37 patients with infection likelihood possible) gave an AUC of 0.89 (95% CI: 0.85-0.93). Disease severity, as measured by Sequential Organ Failure Assessment (SOFA) score or the Acute Physiology and Chronic Health Evaluation (APACHE) IV score, was not a significant confounding variable. The diagnostic utility o f SeptiCyteÂ® Lab was evaluated by comparison to various clinical and laboratory parameters that would be available to a clinician within 24 hours of ICU admission. SeptiCyteÂ® Lab was significantly better at differentiating sepsis from infection-negative systemic inflammation than all tested parameters, both singly and in various logistic combinations. SeptiCyteÂ® Lab more than halved the diagnostic error rate compared to PCT in all tested cohorts or cohort combinations. Conclusions: SeptiCyteÂ® Lab is a rapid molecular assay that may be clinically useful in the management of ICU patients with systemic inflammation. SIRS and Sepsis ICU patients, admission samples Retrospective, mutli-site sutdy using retrospective physician adjudication as a comparator

Project description:ImportanceEmpirical study findings to date are mixed on the association between team-based primary care initiatives and health care use and costs for Medicaid and commercially insured patients, especially those with multiple chronic conditions.ObjectiveTo evaluate the association of establishing team-based primary care with patient health care use and costs.Design, setting, and participantsWe used difference-in-differences to compare preutilization and postutilization rates between intervention and comparison practices with inverse probability weighting to balance observable differences. We fit a linear model using generalized estimating equations to adjust for clustering at 18 academically affiliated primary care practices in the Boston, Massachusetts, area between 2011 and 2015. The study included 83 953 patients accounting for 138 113 patient-years across 18 intervention practices and 238 455 patients accounting for 401 573 patient-years across 76 comparison practices. Data were analyzed between April and August 2018.ExposuresPractices participated in a 4-year learning collaborative that created and supported team-based primary care.Main outcomes and measuresOutpatient visits, hospitalizations, emergency department visits, ambulatory care-sensitive hospitalizations, ambulatory care-sensitive emergency department visits, and total costs of care.ResultsOf 322 408 participants, 176 259 (54.7%) were female; 64 030 (19.9%) were younger than 18 years and 258 378 (80.1%) were age 19 to 64 years. Intervention practices had fewer participants, with 2 or more chronic conditions (n = 51 155 [37.0%] vs n = 186 954 [46.6%]), more participants younger than 18 years (n = 337 931 [27.5%] vs n = 74 691 [18.6%]), higher Medicaid enrollment (n = 39 541 [28.6%] vs n = 81 417 [20.3%]), and similar sex distributions (75 023 women [54.4%] vs 220 097 women [54.8%]); however, after inverse probability weighting, observable patient characteristics were well balanced. Intervention practices had higher utilization in the preperiod. Patients in intervention practices experienced a 7.4% increase in annual outpatient visits relative to baseline (95% CI, 3.5%-11.3%; P < .001) after adjusting for patient age, sex, comorbidity, zip code level sociodemographic characteristics, clinician characteristics, and plan fixed effects. In a subsample of patients with 2 or more chronic conditions, there was a statistically significant 18.6% reduction in hospitalizations (95% CI, 1.5%-33.0%; P = .03), 25.2% reduction in emergency department visits (95% CI, 6.6%-44.0%; P = .007), and a 36.7% reduction in ambulatory care-sensitive emergency department visits (95% CI, 9.2%-64.0%; P = .009). Among patients with less than 2 comorbidities, there was an increase in outpatient visits (9.2%; 95% CI, 5.10%-13.10%; P < .001), hospitalizations (36.2%; 95% CI, 12.2-566.6; P = .003), and ambulatory care-sensitive hospitalizations (50.6%; 95% CI, 7.1%-329.2%; P = .02).Conclusions and relevanceWhile establishing team-based care was not associated with differences in the full patient sample, there were substantial reductions in utilization among a subset of chronically ill patients. Team-based care practice transformation in primary care settings may be a valuable tool in improving the care of sicker patients, thereby reducing avoidable use; however, it may lead to greater use among healthier patients.

Dataset Information

To Trach or Not to Trach: Uncertainty in the Care of the Chronically Critically Ill.

Publications

To Trach or Not to Trach: Uncertainty in the Care of the Chronically Critically Ill.

Similar Datasets

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