IMPORTANCE Physical rehabilitation in the intensive care unit (ICU) may improve the outcomes of patients with acute respiratory failure. OBJECTIVE To compare standardized rehabilitation therapy (SRT) to usual ICU care in acute respiratory failure. DESIGN, SETTING, AND PARTICIPANTS Single-center, randomized clinical trial at Wake Forest Baptist Medical Center, North Carolina. Adult patients (mean age, 58 years; women, 55%) admitted to the ICU with acute respiratory failure requiring mechanical ventilation were randomized to SRT (n=150) or usual care (n=150) from October 2009 through May 2014 with 6-month follow-up. INTERVENTIONS Patients in the SRT group received daily therapy until hospital discharge, consisting of passive range of motion, physical therapy, and progressive resistance exercise. The usual care group received weekday physical therapy when ordered by the clinical team. For the SRT group, the median (interquartile range [IQR]) days of delivery of therapy were 8.0 (5.0–14.0) for passive range of motion, 5.0 (3.0–8.0) for physical therapy, and 3.0 (1.0–5.0) for progressive resistance exercise. The median days of delivery of physical therapy for the usual care group was 1.0 (IQR, 0.0–8.0). MAIN OUTCOMES AND MEASURES Both groups underwent assessor-blinded testing at ICU and hospital discharge and at 2, 4, and 6 months. The primary outcome was hospital length of stay (LOS). Secondary outcomes were ventilator days, ICU days, Short Physical Performance Battery (SPPB) score, 36-item Short-Form Health Surveys (SF-36) for physical and mental health and physical function scale score, Functional Performance Inventory (FPI) score, Mini-Mental State Examination (MMSE) score, and handgrip and handheld dynamometer strength. RESULTS Among 300 randomized patients, the median hospital LOS was 10 days (IQR, 6 to 17) for the SRT group and 10 days (IQR, 7 to 16) for the usual care group (median difference, 0 [95% CI, −1.5 to 3], P = .41). There was no difference in duration of ventilation or ICU care. There was no effect at 6 months for handgrip (difference, 2.0 kg [95% CI, −1.3 to 5.4], P = .23) and handheld dynamometer strength (difference, 0.4 lb [95% CI, −2.9 to 3.7], P = .82), SF-36 physical health score (difference, 3.4 [95% CI, −0.02 to 7.0], P = .05), SF-36 mental health score (difference, 2.4 [95% CI, −1.2 to 6.0], P = .19), or MMSE score (difference, 0.6 [95% CI, −0.2 to 1.4], P = .17). There were higher scores at 6 months in the SRT group for the SPPB score (difference, 1.1 [95% CI, 0.04 to 2.1, P = .04), SF-36 physical function scale score (difference, 12.2 [95% CI, 3.8 to 20.7], P = .001), and the FPI score (difference, 0.2 [95% CI, 0.04 to 0.4], P = .02). CONCLUSIONS AND RELEVANCE Among patients hospitalized with acute respiratory failure, SRT compared with usual care did not decrease hospital LOS.

Diffusion regarding benefits of early mobilization has occurred, but adoption into practice is lagging. Mandates for multidisciplinary rounds and formal sedation protocols may be necessary strategies to increase the likelihood of successful early mobilization implementation. Methods to accurately assess and compare institutional performance via practice audit are needed.

Background Increasing numbers of intensive care units (ICUs) are adopting the practice of nighttime intensivist staffing despite the lack of experimental evidence of its effectiveness. Methods We conducted a 1-year randomized trial in an academic medical ICU of the effects of nighttime staffing with in-hospital intensivists (intervention) as compared with nighttime coverage by daytime intensivists who were available for consultation by telephone (control). We randomly assigned blocks of 7 consecutive nights to the intervention or the control strategy. The primary outcome was patients' length of stay in the ICU. Secondary outcomes were patients' length of stay in the hospital, ICU and in-hospital mortality, discharge disposition, and rates of readmission to the ICU. For length-of-stay outcomes, we performed time-to-event analyses, with data censored at the time of a patient's death or transfer to another ICU. Results A total of 1598 patients were included in the analyses. The median Acute Physiology and Chronic Health Evaluation (APACHE) III score (in which scores range from 0 to 299, with higher scores indicating more severe illness) was 67 (interquartile range, 47 to 91), the median length of stay in the ICU was 52.7 hours (interquartile range, 29.0 to 113.4), and mortality in the ICU was 18%. Patients who were admitted on intervention days were exposed to nighttime intensivists on more nights than were patients admitted on control days (median, 100% of nights [interquartile range, 67 to 100] vs. median, 0% [interquartile range, 0 to 33]; P<0.001). Nonetheless, intensivist staffing on the night of admission did not have a significant effect on the length of stay in the ICU (rate ratio for the time to ICU discharge, 0.98; 95% confidence interval [CI], 0.88 to 1.09; P = 0.72), ICU mortality (relative risk, 1.07; 95% CI, 0.90 to 1.28), or any other end point. Analyses restricted to patients who were admitted at night showed similar results, as did sensitivity analyses that used different definitions of exposure and outcome. Conclusions In an academic medical ICU in the United States, nighttime in-hospital intensivist staffing did not improve patient outcomes. (Funded by University of Pennsylvania Health System and others; ClinicalTrials.gov number, NCT01434823.)

Rationale: Early mobilization (EM) improves outcomes for mechanically ventilated patients. Variation in structure and organizational characteristics may affect implementation of EM practices.Objectives: We queried intensive care unit (ICU) environment and standardized ICU practices to evaluate organizational characteristics that enable EM practice. Methods:We recruited 151 ICUs in France, 150 in Germany, 150 in the United Kingdom, and 500 in the United States by telephone. Survey domains included respondent characteristics, hospital and ICU characteristics, and ICU practices and protocols. Measurements and Main Results:We surveyed 1,484 ICU leaders and received a 64% response rate (951 ICUs). Eighty-eight percent of respondents were in nursing leadership roles; the remainder were physiotherapists. Surveyed ICUs were predominantly mixed medicalsurgical units (67%), and 27% were medical ICUs. ICU staffing models differed significantly (P , 0.001 each) by country for high-intensity staffing, nurse/patient ratios, and dedicated physiotherapists. ICU practices differed by country, with EM practices present in 40% of French ICUs, 59% of German ICUs, 52% of U.K. ICUs, and 45% of U.S. ICUs. Formal written EM protocols were present in 24%, 30%, 20%, and 30%, respectively, of those countries' ICUs. In multivariate analysis, EM practice was associated with multidisciplinary rounds (odds ratio [OR], 1.77; P = 0.001), setting daily goals for patients (OR, 1.62; P = 0.02), presence of a dedicated physiotherapist (OR, 2.48; P , 0.001), and the ICU's being located in Germany (reference, United States; OR, 2.84; P , 0.001). EM practice was also associated with higher nurse staffing levels (1:1 nurse/patient ratio as a reference; 1:2 nurse/patient ratio OR, 0.59; P = 0.05; 1:3 nurse/patient ratio OR, 0.33; P = 0.005; 1:4 or less nurse/patient ratio OR, 0.37; P = 0.005). Those responding rarely cited ambulation of mechanically ventilated patients, use of a bedside cycle, or neuromuscular electrical stimulation as part of their EM practice. Physical therapy initiation, barriers to EM practice, and EM equipment were highly variable among respondents. Conclusions:International ICU structure and practice is quite heterogeneous, and several factors (multidisciplinary rounds, setting daily goals for patients, presence of a dedicated physiotherapist, country, and nurse/patient staffing ratio) are significantly associated with the practice of EM. Practice and barriers may be far different based upon staffing structure. To achieve successful implementation, whether through trials or quality improvement, ICU staffing and practice patterns must be taken into account.

Rationale: Survivorship from critical illness has improved; however, factors mediating the functional recovery of persons experiencing a critical illness remain incompletely understood. Objectives: To identify groups of acute respiratory failure (ARF) survivors with similar patterns of physical function recovery after discharge and to determine the characteristics associated with group membership in each physical function trajectory group. Methods: We performed a secondary analysis of a randomized controlled trial, using group-based trajectory modeling to identify distinct subgroups of patients with similar physical function recovery patterns after ARF. Chi-square tests and one-way analysis of variance were used to determine which variables were associated with trajectory membership. A multinomial logistic regression analysis was performed to identify variables jointly associated with trajectory group membership. Results: A total of 260 patients enrolled in a trial evaluating standardized rehabilitation therapy in patients with ARF and discharged alive (NCT00976833) were included in this analysis. Physical function was quantified using the Short Physical Performance Battery at hospital discharge and 2, 4, and 6 months after enrollment. Latent class analysis of the Short Physical Performance Battery scores identified four trajectory groups. These groups differ in both the degree and rate of physical function recovery. A multinomial logistic regression analysis was performed using covariates that have been previously identified in the literature as influencing recovery after critical illness. By multinomial logistic regression, age (P , 0.001), female sex (P = 0.001), intensive care unit (ICU) length of stay (LOS) (P = 0.003), and continuous intravenous sedation days (P = 0.004) were the variables that jointly influenced trajectory group membership. Participants in the trajectory demonstrating most rapid and complete functional recovery consisted of younger females with fewer continuous sedation days and a shorter LOS. The participant trajectory that failed to functionally recover consisted of older patients with greater sedation time and the longest LOS. Conclusions: We identified distinct trajectories of physical function recovery after critical illness. Age, sex, continuous sedation time, and ICU length of stay impact the trajectory of functional recovery after critical illness. Further examination of these groups may assist in clinical trial design to tailor interventions to specific subgroups.

Author contributions: KH, JMP, LB, CS had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. All other authors contributed substantially to the study design, data analysis and interpretation, and the writing of the manuscript.

Physical function measurement in a recovery clinic is feasible and may inform subsequent morbidity and mortality.

Objective To identify the key mechanisms that clinicians perceive improve care in the intensive care unit (ICU), as a result of their involvement in post-ICU programs. Methods Qualitative inquiry via focus groups and interviews with members of the Society of Critical Care Medicine’s THRIVE collaborative sites (follow-up clinics and peer support). Framework analysis was used to synthesize and interpret the data. Results Five key mechanisms were identified as drivers of improvement back into the ICU: (1) identifying otherwise unseen targets for ICU quality improvement or education programs—new ideas for quality improvement were generated and greater attention paid to detail in clinical care. (2) Creating a new role for survivors in the ICU—former patients and family members adopted an advocacy or peer volunteer role. (3) Inviting critical care providers to the post-ICU program to educate, sensitize, and motivate them—clinician peers and trainees were invited to attend as a helpful learning strategy to gain insights into post-ICU care requirements. (4) Changing clinician’s own understanding of patient experience—there appeared to be a direct individual benefit from working in post-ICU programs. (5) Improving morale and meaningfulness of ICU work—this was achieved by closing the feedback loop to ICU clinicians regarding patient and family outcomes. Conclusions The follow-up of patients and families in post-ICU care settings is perceived to improve care within the ICU via five key mechanisms. Further research is required in this novel area. Electronic supplementary material The online version of this article (10.1007/s00134-019-05647-5) contains supplementary material, which is available to authorized users.