A "placement of death" approach for studies of treatment effects on ICU length of stay

Use of Life Support and Outcomes Among Patients Admitted to Intensive Care Units

Importance

Nationwide data are unavailable regarding changes in intensive care unit (ICU) outcomes and use of life support over the past 10 years, limiting understanding of practice changes.

Objective

To portray the epidemiology of US critical care before, during, and after the COVID-19 pandemic.

Design, Setting, and Participants

Retrospective cohort study of adult patients admitted to an ICU for any reason, using data from the 54 US health systems continuously contributing to the Epic Cosmos database from 2014-2023.

Exposures

Patient demographics, COVID-19 status, and pandemic era.

Main Outcomes and Measures

In-hospital mortality unadjusted and adjusted for patient demographics, comorbidities, and illness severity; ICU length of stay; and receipt of life-support interventions, including mechanical ventilation and vasopressor medications.

Results

Of 3 453 687 admissions including ICU care, median age was 65 (IQR, 53-75) years. Patients were 55.3% male; 17.3% Black and 6.1% Hispanic or Latino; and overall in-hospital mortality was 10.9%. The adjusted in-hospital mortality was elevated during the pandemic in COVID-negative (adjusted odds ratio [aOR], 1.3 [95% CI, 1.2-1.3]) and COVID-positive (aOR, 4.3 [95% CI, 3.8-4.8]) patients and returned to baseline by mid-2022. The median ICU length of stay was 2.1 (IQR, 1.1-4.2) days, with increases during the pandemic among COVID-positive patients (difference for COVID-positive vs COVID-negative patients, 2.0 days [95% CI, 2.0-2.1]). Rates of invasive mechanical ventilation were 23.2% (95% CI, 23.1%-23.2%) before the pandemic, increased to 25.8% (95% CI, 25.8%-25.9%) during the pandemic, and declined below prepandemic baseline thereafter (22.0% [95% CI, 21.9%-22.2%]). The use of vasopressors increased from 7.2% to 21.6% of ICU stays.

Conclusions and Relevance

Pandemic-era increases in length of stay and adjusted in-hospital mortality among US ICU patients returned to recent historical baselines. Fewer patients are now receiving mechanical ventilation than prior to the pandemic, while more patients are administered vasopressor medications.

Nudging Clinicians to Promote Serious Illness Communication for Critically Ill Patients: A Pragmatic Cluster Randomized Trial

Importance

Guidelines recommend that intensive care unit (ICU) clinicians consider prognosis and offer a comfort-focused treatment alternative to patients with limited prognoses to promote preference-sensitive treatment decisions.

Objective

To determine whether nudging ICU clinicians to adhere to communication guidelines improves outcomes among critically ill patients at high risk of death or severe functional impairment.

Design, Setting, and Participants

This 4-arm pragmatic, stepped-wedge, cluster randomized trial (conducted February 1, 2018-October 31, 2020, follow-up through April 29, 2021, and analyses December 2023-January 2024) involved 3500 encounters of adults with chronic serious illness receiving mechanical ventilation for at least 48 hours at 10 hospitals comprising 17 medical, surgical, specialty, or mixed ICUs in community, rural, and urban settings.

Interventions

Two clinician-directed electronic health record nudge interventions were each compared with usual care alone and combined: document of 6-month functional prognosis and whether a comfort-focused treatment alternative was offered or a reason why not.

Main Outcomes and Measures

The primary outcome was hospital length of stay, with death coded at the 99th percentile. Secondary end points included 22 measures of acute care utilization, end-of-life care processes, and mortality.

Results

Of 3500 patient encounters among 3250 patients (mean [SD] age, 63.2 [13.5] years; 46.1% female), 3384 encounters (96.7%) had complete baseline data and were included in risk-adjusted analyses. The overall intervention document completion rate for all patients was 75.0% (n = 1714) and similar across groups. Among the 3500 encounters, observed hospital mortality was 35.7% (n = 1249), and the median observed length of stay was 8.93 days (IQR, 4.64-16.23). The median length of stay with deaths coded as the 99th percentile did not differ between any intervention and usual care groups (for length of stay, all adjusted median difference 95% CIs include 0; for hospital mortality, all adjusted risk difference [RD] 95% CIs include 0). Results were similar in sensitivity analyses with death coded as low at the fifth percentile and without ranking deaths. Compared with usual care, a higher percentage of patients were discharged to hospice in the treatment alternative group (10.9% vs 7.3%; adjusted RD, 6% [95% CI, 1%-10%]) and the combined group (8.9% vs 7.3%; adjusted RD, 6% [95% CI, 0%-12%]). The treatment alternative intervention led to earlier comfort-care orders (3.6 vs 4.5 days; adjusted hazard ratio, 1.42 [95% CI, 1.06-1.92]). The 20 other secondary end points were unaffected by the interventions.

Conclusions and Relevance

This cluster randomized clinical trial found that electronically nudging ICU clinicians to adhere to communication guidelines was feasible but did not reduce hospital length of stay.

Trial Registration

ClinicalTrials.gov Identifier: NCT03139838.

An Explanatory Mixed-Methods Study of Intensive Care Unit Net Benefit: Triage and Trajectory for Sepsis and Acute Respiratory Failure

Rationale: Patients with sepsis and/or acute respiratory failure are at high risk for death or long hospital stays, yet limited evidence exists to guide triage to intensive care units (ICUs) or general medical wards for the majority of these patients who do not initially require life support. Objectives: To identify factors that influence how hospitals triage patients with capacity-sensitive conditions and those factors that may account for observed ICU relative to ward, or ward relative to ICU, benefits for such patients. Methods: We conducted an explanatory sequential mixed-methods study. As part of a 27-hospital, two-health system retrospective cohort study, we calculated hospital-specific measurements of ICU net benefit for patients with sepsis and/or acute respiratory failure. Hospitals among the highest ICU net benefit and lowest ICU net benefit (or highest ward net benefit) from each study health system were selected for in-depth qualitative study. At each hospital, interviews were conducted with emergency department, ward, and ICU clinicians and administrators. Interview transcripts were analyzed using flexible coding and the framework method. Results: Interviews were conducted with 118 respondents (46 physicians, 43 nurses, 5 advanced practice providers, and 24 administrators) from four hospitals. Respondents across hospitals agreed that the prediction of patient trajectory is central to triage decisions, but there was variation in opinion across work locations about optimal pretriage emergency department interventions in terms of intensity, repetition, clinical reassessment, and observation duration. The main difference observed between high and low ICU net benefit hospitals related to the way respondents working in the ICU and ward described their responses to patients who experience rapid clinical deviations from triage-expected trajectories, including sustained lack of critical care needs after admission to the ICU and acute critical care needs after admission to the ward. Hospitals with low ICU net benefit (or high ward net benefit) had particularly robust and proactive rapid response and clinical decompensation surveillance practices for ward-admitted patients. Conclusions: Particularly proactive rapid response programs that deliver on-location critical care may quantitatively increase ward net benefit by bringing ICU benefits without ICU-associated harms to ward patients who become critically ill.

The Real-World Effect of Early Screening for Palliative Care Criteria in a Medical Intensive Care Unit: An Instrumental Variable Analysis

Rationale: Early identification of intensive care unit (ICU) patients likely to benefit from specialist palliative care could reduce the time such patients spend in the ICU receiving care inconsistent with their goals. Objectives: To evaluate the real-world effects of early screening for palliative care criteria in a medical ICU. Methods: We performed a retrospective cohort study in adults admitted to the ICU using a causal inference approach with instrumental variable analysis. The intervention consisted of screening ICU admissions for palliative care trigger conditions and, if present, offering specialist palliative care consultation, which could be accepted or declined by the ICU. We evaluated specialist palliative care use in pre and postimplementation cohorts from the year before and after screening implementation began (October 2022). In the postimplementation cohort, we compared use of specialist palliative care in those who received early screening versus not. We then estimated the effect of early screening on the primary outcome of days to do-not-resuscitate (DNR) code status or ICU discharge, with death without a DNR order placed at the 99th percentile of the days to DNR or ICU discharge distribution. Secondary outcomes included: DNR order, ICU and hospital lengths of stay, hospice discharge, and mortality metrics. To address unmeasured confounding, we used two-stage least-squares instrumental variables analysis. The instrument, which predicts early screening, comprised weekend versus weekday admission and number of patients meeting palliative care criteria on a patient's ICU Days 1 and 2. Results: Among 1,282 postimplementation admissions, 626 (45%) received early screening, and 398 (28%) received specialty palliative consultation. Early receipt of specialist palliative care was higher in patients who received early screening versus not (17% vs. 1%; P < 0.001), and overall use of specialty palliative care was higher after versus before screening implementation (28% vs. 15%; P < 0.001). In the postimplementation cohort, there were no statistically significant effects of early screening on the primary outcome of days to DNR or ICU discharge (15% relative increase; 95% confidence interval, -11% to +48%) or other secondary outcomes. Conclusions: Despite significantly increased specialty palliative care consultation, there was no evidence that early screening for palliative care criteria affected time to DNR/ICU discharge or other secondary outcomes.

Mobile App-Facilitated Collaborative Palliative Care Intervention for Critically Ill Older Adults: A Randomized Clinical Trial

Importance

Few person-centered, scalable models of collaborative intensive care unit (ICU) clinician-palliative care specialist care exist.

Objective

To evaluate the effect of a collaborative palliative care intervention compared to usual care among family members of patients in the ICU.

Design, Setting, and Participants

This parallel-group randomized clinical trial with patient-level randomization was conducted between April 2021 and September 2023. The study was set at 6 medical and surgical ICUs in 1 academic hospital and 1 community hospital. The study participants included critically ill older adult patients with 1 of 11 poor outcome phenotypes, their family members with elevated palliative care needs, and their attending ICU physicians.

Intervention

An automated electronic health record-integrated, mobile application-based communication platform that displayed family-reported needs over 7 days, coached ICU attending physicians on addressing needs, and prompted palliative care consultation if needs were not reduced within 3 study days.

Main Outcomes and Measures

The primary outcome was change in the family-reported Needs at the End-of-Life Screening Tool (NEST) score between study days 1 and 3. The 13-item NEST score is a number between 0 and 130, with higher scores indicating a greater need. Secondary outcomes included quality of communication and goal of care concordance, as well as 3-month psychological distress.

Results

Of 151 family members, the mean (SD) age was 57.4 (12.9) years, and 110 (72.9%) were female. Of 151 patients, the mean (SD) age was 69.8 (9.7) years, and 86 (57.0%) were male. Thirty-five ICU physicians were male (68.6%). Seventy-six patients were randomized to the intervention group and 75 to the control group. Treatment group differences in estimated mean NEST scores were similar at 3 days between the intervention and control groups (-3.1 vs -2.0, respectively; estimated mean difference in differences, -1.3 points [95% CI, -6.0 to 3.5]) and 7 days (-2.3 vs -2.2, respectively; estimated mean difference in differences, 0 points [95% CI, -6.2 to 6.2]). Median (IQR) need scores were lower among individuals who remained in the ICU at day 3 for intervention participants vs controls (24.5 [16.5-34.5] vs 27.5 [13.0-40.0], respectively); median (IQR) need scores were also lower among those who remained in the ICU at day 7 for intervention vs controls (22.0 [11.0-35.0] vs 28.0 [14.0-35.0], respectively). Goal concordance, quality of communication, and psychological distress symptoms did not differ. Twenty-nine intervention participants (38.2%) had palliative care consultations, compared to only 3 (4.0%) among controls, (P < .001); 66 intervention participants (87.0%) had a family meeting, compared to 48 (64.0%) among controls (P = .001).

Conclusions and Relevance

In this randomized clinical trial, a collaborative, person-centered, ICU-based palliative care intervention had no effect on palliative care needs or psychological distress compared to usual care despite a higher frequency of palliative care consultations and family meetings among intervention participants.

Trial Registration

ClinicalTrials.gov Identifier: NCT04414787.

Prioritizing attributes of approaches to analyzing patient-centered outcomes that are truncated due to death in critical care clinical trials: a Delphi study

BACKGROUND

A key challenge for many critical care clinical trials is that some patients will die before their outcome is fully measured. This is referred to as "truncation due to death" and must be accounted for in both the treatment effect definition (i.e. the estimand), as well as the statistical analysis approach. It is unknown which analytic approaches to this challenge are most relevant to stakeholders.

METHODS

Using a modified Delphi process, we sought to identify critical attributes of analytic methods used to account for truncation due to death in critical care clinical trials. The Delphi panel included stakeholders with diverse professional or personal experience in critical care-focused clinical trials. The research team generated an initial list of attributes and associated definitions. The attribute list and definitions were refined through two Delphi rounds. Panelists ranked and scored attributes and provided open-ended rationales for responses. A consensus threshold was set as ≥ 70% of respondents rating an attribute as "Critical" (i.e., score ≥ 7 on a 9-point Likert scale) and ≤ 15% of respondents rating the measure as "Not Important" (i.e., a score of ≤ 3).

RESULTS

Thirty-one (91%) of 34 invited individuals participated in one or both rounds. The response rate was 82% in Round 1 and 85% in Round 2. Participants included eight (26%) personal experience experts and 26 (84%) professional experience experts. After two Delphi rounds, four attributes met the criteria for consensus: accuracy (the approach will identify effects if they exist, but will not if they do not), interpretability (the approach enables a straightforward interpretation of the intervention's effect), clinical relevance (the approach can directly inform patient care), and patient-centeredness (the approach is relevant to patients and/or their families). Attributes that did not meet the consensus threshold included sensitivity, comparability, familiarity, mechanistic plausibility, and statistical simplicity.

CONCLUSIONS

We found that methods used to account for truncation due to death in the treatment effect definition and statistical approach in critical care trials should meet at least four defined criteria: accuracy, interpretability, clinical relevance, and patient-centeredness. Future work is needed to derive objective criteria to quantify how well existing estimands and analytic approaches encompass these attributes.

Variation in Sedative and Analgesic Use During the COVID-19 Pandemic and Associated Outcomes

BACKGROUND

Providing analgesia and sedation is an essential component of caring for many mechanically ventilated patients. The selection of analgesic and sedative medications during the COVID-19 pandemic, and the impact of these sedation practices on patient outcomes, remain incompletely characterized.

RESEARCH QUESTION

What were the hospital patterns of analgesic and sedative use for patients with COVID-19 who received mechanical ventilation (MV), and what differences in clinical patient outcomes were observed across prevailing sedation practices?

STUDY DESIGN AND METHODS

We conducted an observational cohort study of hospitalized adults who received MV for COVID-19 from February 2020 through April 2021 within the Society of Critical Care Medicine Discovery Viral Infection and Respiratory Illness Universal Study (VIRUS) COVID-19 Registry. To describe common sedation practices, we used hierarchical clustering to group hospitals based on the percentage of patients who received various analgesic and sedative medications. We then used multivariable regression models to evaluate the association between hospital analgesia and sedation cluster and duration of MV (with a placement of death [POD] approach to account for competing risks).

RESULTS

We identified 1,313 adults across 35 hospitals admitted with COVID-19 who received MV. Two clusters of analgesia and sedation practices were identified. Cluster 1 hospitals generally administered opioids and propofol with occasional use of additional sedatives (eg, benzodiazepines, alpha-agonists, and ketamine); cluster 2 hospitals predominantly used opioids and benzodiazepines without other sedatives. As compared with patients in cluster 2, patients admitted to cluster 1 hospitals underwent a shorter adjusted median duration of MV with POD (β-estimate, -5.9; 95% CI, -11.2 to -0.6; P = .03).

INTERPRETATION

Patients who received MV for COVID-19 in hospitals that prioritized opioids and propofol for analgesia and sedation experienced shorter adjusted median duration of MV with POD as compared with patients who received MV in hospitals that primarily used opioids and benzodiazepines.

Default Palliative Care Consultation for Seriously Ill Hospitalized Patients: A Pragmatic Cluster Randomized Trial

Importance

Increasing inpatient palliative care delivery is prioritized, but large-scale, experimental evidence of its effectiveness is lacking.

Objective

To determine whether ordering palliative care consultation by default for seriously ill hospitalized patients without requiring greater palliative care staffing increased consultations and improved outcomes.

Design, Setting, and Participants

A pragmatic, stepped-wedge, cluster randomized trial was conducted among patients 65 years or older with advanced chronic obstructive pulmonary disease, dementia, or kidney failure admitted from March 21, 2016, through November 14, 2018, to 11 US hospitals. Outcome data collection ended on January 31, 2019.

Intervention

Ordering palliative care consultation by default for eligible patients, while allowing clinicians to opt-out, was compared with usual care, in which clinicians could choose to order palliative care.

Main Outcomes and Measures

The primary outcome was hospital length of stay, with deaths coded as the longest length of stay, and secondary end points included palliative care consult rate, discharge to hospice, do-not-resuscitate orders, and in-hospital mortality.

Results

Of 34 239 patients enrolled, 24 065 had lengths of stay of at least 72 hours and were included in the primary analytic sample (10 313 in the default order group and 13 752 in the usual care group; 13 338 [55.4%] women; mean age, 77.9 years). A higher percentage of patients in the default order group received palliative care consultation than in the standard care group (43.9% vs 16.6%; adjusted odds ratio [aOR], 5.17 [95% CI, 4.59-5.81]) and received consultation earlier (mean [SD] of 3.4 [2.6] days after admission vs 4.6 [4.8] days; P < .001). Length of stay did not differ between the default order and usual care groups (percent difference in median length of stay, -0.53% [95% CI, -3.51% to 2.53%]). Patients in the default order group had higher rates of do-not-resuscitate orders at discharge (aOR, 1.40 [95% CI, 1.21-1.63]) and discharge to hospice (aOR, 1.30 [95% CI, 1.07-1.57]) than the usual care group, and similar in-hospital mortality (4.7% vs 4.2%; aOR, 0.86 [95% CI, 0.68-1.08]).

Conclusions and Relevance

Default palliative care consult orders did not reduce length of stay for older, hospitalized patients with advanced chronic illnesses, but did improve the rate and timing of consultation and some end-of-life care processes.

Trial Registration

ClinicalTrials.gov Identifier: NCT02505035.

Structured Mobilization for Critically Ill Patients: A Pragmatic Cluster-randomized Trial

Rationale: Small trials and professional recommendations support mobilization interventions to improve recovery among critically ill patients, but their real-world effectiveness is unknown. Objective: To evaluate a low-cost, multifaceted mobilization intervention. Methods: We conducted a stepped-wedge cluster-randomized trial across 12 ICUs with diverse case mixes. The primary and secondary samples included patients mechanically ventilated for ⩾48 hours who were ambulatory before admission, and all patients with ICU stays ⩾48 hours, respectively. The mobilization intervention included 1) designation and posting of daily mobilization goals; 2) interprofessional closed-loop communication coordinated by each ICU's facilitator; and 3) performance feedback. Measurements and Main Results: From March 4, 2019 through March 15, 2020, 848 and 1,069 patients were enrolled in the usual care and intervention phases in the primary sample, respectively. The intervention did not increase the primary outcome, patient's maximal Intensive Care Mobility Scale (range, 0-10) score within 48 hours before ICU discharge (estimated mean difference, 0.16; 95% confidence interval, -0.31 to 0.63; P = 0.51). More patients in the intervention (37.2%) than usual care (30.7%) groups achieved the prespecified secondary outcome of ability to stand before ICU discharge (odds ratio, 1.48; 95% confidence interval, 1.02 to 2.15; P = 0.04). Similar results were observed among the 7,115 patients in the secondary sample. The percentage of days on which patients received physical therapy mediated 90.1% of the intervention effect on standing. ICU mortality (31.5% vs. 29.0%), falls (0.7% vs. 0.4%), and unplanned extubations (2.0% vs. 1.8%) were similar between groups (all P > 0.3). Conclusions: A low-cost, multifaceted mobilization intervention did not improve overall mobility but improved patients' odds of standing and was safe. Clinical trial registered with www.clinicaltrials.gov (NCT03863470).

A Bayesian Approach for Estimating the Survivor Average Causal Effect When Outcomes Are Truncated by Death in Cluster-Randomized Trials

Many studies encounter clustering due to multicenter enrollment and nonmortality outcomes, such as quality of life, that are truncated due to death-that is, missing not at random and nonignorable. Traditional missing-data methods and target causal estimands are suboptimal for statistical inference in the presence of these combined issues, which are especially common in multicenter studies and cluster-randomized trials (CRTs) carried out among the elderly or seriously ill. Using principal stratification, we developed a Bayesian estimator that jointly identifies the always-survivor principal stratum in a clustered/hierarchical data setting and estimates the average treatment effect among them (i.e., the survivor average causal effect (SACE)). In simulations, we observed low bias and good coverage with our method. In a motivating CRT, the SACE and the estimate from complete-case analysis differed in magnitude, but both were small, and neither was incompatible with a null effect. However, the SACE estimate has a clear causal interpretation. The option to assess the rigorously defined SACE estimand in studies with informative truncation and clustering can provide additional insight into an important subset of study participants. Based on the simulation study and CRT reanalysis, we provide practical recommendations for using the SACE in CRTs and software code to support future research.

Racial Disparities in Length of Stay Among Severely Ill Patients Presenting With Sepsis and Acute Respiratory Failure

Importance

Although racial and ethnic minority patients with sepsis and acute respiratory failure (ARF) experience worse outcomes, how patient presentation characteristics, processes of care, and hospital resource delivery are associated with outcomes is not well understood.

Objective

To measure disparities in hospital length of stay (LOS) among patients at high risk of adverse outcomes who present with sepsis and/or ARF and do not immediately require life support and to quantify associations with patient- and hospital-level factors.

Design, Setting, and Participants

This matched retrospective cohort study used electronic health record data from 27 acute care teaching and community hospitals across the Philadelphia metropolitan and northern California areas between January 1, 2013, and December 31, 2018. Matching analyses were performed between June 1 and July 31, 2022. The study included 102 362 adult patients who met clinical criteria for sepsis (n = 84 685) or ARF (n = 42 008) with a high risk of death at the time of presentation to the emergency department but without an immediate requirement for invasive life support.

Exposures

Racial or ethnic minority self-identification.

Main Outcomes and Measures

Hospital LOS, defined as the time from hospital admission to the time of discharge or inpatient death. Matches were stratified by racial and ethnic minority patient identity, comparing Asian and Pacific Islander patients, Black patients, Hispanic patients, and multiracial patients with White patients in stratified analyses.

Results

Among 102 362 patients, the median (IQR) age was 76 (65-85) years; 51.5% were male. A total of 10.2% of patients self-identified as Asian American or Pacific Islander, 13.7% as Black, 9.7% as Hispanic, 60.7% as White, and 5.7% as multiracial. After matching racial and ethnic minority patients to White patients on clinical presentation characteristics, hospital capacity strain, initial intensive care unit admission, and the occurrence of inpatient death, Black patients experienced longer LOS relative to White patients in fully adjusted matches (sepsis: 1.26 [95% CI, 0.68-1.84] days; ARF: 0.97 [95% CI, 0.05-1.89] days). Length of stay was shorter among Asian American and Pacific Islander patients with ARF (-0.61 [95% CI, -0.88 to -0.34] days) and Hispanic patients with sepsis (-0.22 [95% CI, -0.39 to -0.05] days) or ARF (-0.47 [-0.73 to -0.20] days).

Conclusions and Relevance

In this cohort study, Black patients with severe illness who presented with sepsis and/or ARF experienced longer LOS than White patients. Hispanic patients with sepsis and Asian American and Pacific Islander and Hispanic patients with ARF both experienced shorter LOS. Because matched differences were independent of commonly implicated clinical presentation-related factors associated with disparities, identification of additional mechanisms that underlie these disparities is warranted.

Among-Hospital Variation in Intensive Care Unit Admission Practices and Associated Outcomes for Patients with Acute Respiratory Failure

Rationale: We have previously shown that hospital strain is associated with intensive care unit (ICU) admission and that ICU admission, compared with ward admission, may benefit certain patients with acute respiratory failure (ARF). Objectives: To understand how strain-process-outcomes relationships in patients with ARF may vary among hospitals and what hospital practice differences may account for such variation. Methods: We examined high-acuity patients with ARF who did not require mechanical ventilation or vasopressors in the emergency department (ED) and were admitted to 27 U.S. hospitals from 2013 to 2018. Stratifying by hospital, we compared hospital strain-ICU admission relationships and hospital length of stay (LOS) and mortality among patients initially admitted to the ICU versus the ward using hospital strain as a previously validated instrumental variable. We also surveyed hospital practices and, in exploratory analyses, evaluated their associations with the above processes and outcomes. Results: There was significant among-hospital variation in ICU admission rates, in hospital strain-ICU admission relationships, and in the association of ICU admission with hospital LOS and hospital mortality. Overall, ED patients with ARF (n = 45,339) experienced a 0.82-day shorter median hospital LOS if admitted initially to the ICU compared with the ward, but among the 27 hospitals (n = 224-3,324), this effect varied from 5.85 days shorter (95% confidence interval [CI], -8.84 to -2.86; P < 0.001) to 4.38 days longer (95% CI, 1.86-6.90; P = 0.001). Corresponding ranges for in-hospital mortality with ICU compared with ward admission revealed odds ratios from 0.08 (95% CI, 0.01-0.56; P < 0.007) to 8.89 (95% CI, 1.60-79.85; P = 0.016) among patients with ARF (pooled odds ratio, 0.75). In exploratory analyses, only a small number of measured hospital practices-the presence of a sepsis ED disposition guideline and maximum ED patient capacity-were potentially associated with hospital strain-ICU admission relationships. Conclusions: Hospitals vary considerably in ICU admission rates, the sensitivity of those rates to hospital capacity strain, and the benefits of ICU admission for patients with ARF not requiring life support therapies in the ED. Future work is needed to more fully identify hospital-level factors contributing to these relationships.

Hospital Strain and Variation in Sepsis ICU Admission Practices and Associated Outcomes

To understand how strain-process-outcome relationships in patients with sepsis may vary among hospitals.

DESIGN

Retrospective cohort study using a validated hospital capacity strain index as a within-hospital instrumental variable governing ICU versus ward admission, stratified by hospital.

SETTING

Twenty-seven U.S. hospitals from 2013 to 2018.

PATIENTS

High-acuity emergency department patients with sepsis who do not require life support therapies.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

The mean predicted probability of ICU admission across strain deciles ranged from 4.9% (lowest ICU-utilizing hospital for sepsis without life support) to 61.2% (highest ICU-utilizing hospital for sepsis without life support). The difference in the predicted probabilities of ICU admission between the lowest and highest strain deciles ranged from 9.0% (least strain-sensitive hospital) to 45.2% (most strain-sensitive hospital). In pooled analyses, emergency department patients with sepsis (n = 90,150) experienced a 1.3-day longer median hospital length of stay (LOS) if admitted initially to the ICU compared with the ward, but across the 27 study hospitals (n = 517-6,564), this effect varied from 9.0 days shorter (95% CI, -10.8 to -7.2; p < 0.001) to 19.0 days longer (95% CI, 16.7-21.3; p < 0.001). Corresponding ranges for inhospital mortality with ICU compared with ward admission revealed odds ratios (ORs) from 0.16 (95% CI, 0.03-0.99; p = 0.04) to 4.62 (95% CI, 1.16-18.22; p = 0.02) among patients with sepsis (pooled OR = 1.48).

CONCLUSIONS

There is significant among-hospital variation in ICU admission rates for patients with sepsis not requiring life support therapies, how sensitive those ICU admission decisions are to hospital capacity strain, and the association of ICU admission with hospital LOS and hospital mortality. Hospital-level heterogeneity should be considered alongside patient-level heterogeneity in critical and acute care study design and interpretation.

Association of Early Steroid Administration With Outcomes of Children Hospitalized for COVID-19 Without Multisystem Inflammatory Syndrome in Children

Importance

There is limited evidence for therapeutic options for pediatric COVID-19 outside of multisystem inflammatory syndrome in children (MIS-C).

Objective

To determine whether the use of steroids within 2 days of admission for non-MIS-C COVID-19 in children is associated with hospital length of stay (LOS). The secondary objective was to determine their association with intensive care unit (ICU) LOS, inflammation, and fever defervescence.

Design, Setting, and Participants

This cohort study analyzed data retrospectively for children (<18 years) who required hospitalization for non-MIS-C COVID-19. Data from March 2020 through September 2021 were provided by 58 hospitals in 7 countries who participate in the Society of Critical Care Medicine Discovery Viral Infection and Respiratory Illness Universal Study (VIRUS) COVID-19 registry.

Exposure

Administration of steroids within 2 days of admission.

Main Outcomes and Measures

Length of stay in the hospital and ICU. Adjustment for confounders was done by mixed linear regression and propensity score matching.

Results

A total of 1163 patients met inclusion criteria and had a median (IQR) age of 7 years (0.9-14.3). Almost half of all patients (601/1163, 51.7%) were male, 33.8% (392/1163) were non-Hispanic White, and 27.9% (324/1163) were Hispanic. Of the study population, 184 patients (15.8%) received steroids within 2 days of admission, and 979 (84.2%) did not receive steroids within the first 2 days. Among 1163 patients, 658 (56.5%) required respiratory support during hospitalization. Overall, patients in the steroids group were older and had greater severity of illness, and a larger proportion required respiratory and vasoactive support. On multivariable linear regression, after controlling for treatment with remdesivir within 2 days, country, race and ethnicity, obesity and comorbidity, number of abnormal inflammatory mediators, age, bacterial or viral coinfection, and disease severity according to ICU admission within first 2 days or World Health Organization ordinal scale of 4 or higher on admission, with a random intercept for the site, early steroid treatment was not significantly associated with hospital LOS (exponentiated coefficient, 0.94; 95% CI, 0.81-1.09; P = .42). Separate analyses for patients with an LOS of 2 days or longer (n = 729), those receiving respiratory support at admission (n = 286), and propensity score-matched patients also showed no significant association between steroids and LOS. Early steroid treatment was not associated with ICU LOS, fever defervescence by day 3, or normalization of inflammatory mediators.

Conclusions and Relevance

Steroid treatment within 2 days of hospital admission in a heterogeneous cohort of pediatric patients hospitalized for COVID-19 without MIS-C did not have a statistically significant association with hospital LOS.

Multimorbidity Confers Greater Risk for Older Patients in Emergency General Surgery Than the Presence of Multiple Comorbidities: A Retrospective Observational Study

BACKGROUND

Little is known about the impact of multimorbidity on outcomes for older emergency general surgery patients.

OBJECTIVE

The aim was to understand whether having multiple comorbidities confers the same amount of risk as specific combinations of comorbidities (multimorbidity) for a patient undergoing emergency general surgery.

RESEARCH DESIGN

Retrospective observational study using state discharge data.

SUBJECTS

Medicare beneficiaries who underwent an operation for an emergency general surgery condition in New York, Florida, or Pennsylvania (2012-2013).

MEASURES

Patients were classified as multimorbid using Qualifying Comorbidity Sets (QCSs). Outcomes included in-hospital mortality, hospital length of stay and discharge status.

RESULTS

Of 312,160 patients, a large minority (37.4%) were multimorbid. Non-QCS patients did not have a specific combination of comorbidities to satisfy a QCS, but 64.1% of these patients had 3+ comorbid conditions. Multimorbidity was associated with increased in-hospital mortality (10.5% vs. 3.9%, P <0.001), decreased rates of discharge to home (16.2% vs. 37.1%, P <0.001), and longer length of stay (10.4 d±13.5 vs. 6.7 d±9.3, P <0.001) when compared with non-QCS patients. Risks varied between individual QCSs.

CONCLUSIONS

Multimorbidity, defined by satisfying a specific QCS, is strongly associated with poor outcomes for older patients requiring emergency general surgery in the United States. Variation in risk of in-hospital mortality, discharge status, and length of stay between individual QCSs suggests that multimorbidity does not carry the same prognostic weight as having multiple comorbidities-the specifics of which are important in setting expectations for individual, complex patients.

Association between nursing cost and patient outcomes in intensive care units: A retrospective cohort study of Belgian hospitals

INTRODUCTION

Hospitals with better nursing resources report more favourable patient outcomes with almost no difference in cost as compared to those with worse nursing resources. The aim of this study was to assess the association between nursing cost per intensive care unit bed and patient outcomes (mortality, readmission, and length of stay).

METHODOLOGY

This was a retrospective cohort study using data collected from the intensive care units of 17 Belgian hospitals from January 01 to December 31, 2018. Hospitals were dichotomized using median annual nursing cost per bed. A total of 18,235 intensive care unit stays were included in the study with 5,664 stays in the low-cost nursing group and 12,571 in the high-cost nursing group.

RESULTS

The rate of high length of stay outliers in the intensive care unit was significantly lower in the high-cost nursing group (9.2% vs 14.4%) compared to the low-cost nursing group. Intensive care unit readmission was not significantly different in the two groups. Mortality was lower in the high-cost nursing group for intensive care unit (9.9% vs 11.3%) and hospital (13.1% vs 14.6%) mortality. The nursing cost per intensive care bed was different in the two groups, with a median [IQR] cost of 159,387€ [140,307-166,690] for the low-cost nursing group and 214,032€ [198,094-230,058] for the high-cost group. In multivariate analysis, intensive care unit mortality (OR = 0.80, 95% CI: 0.69-0.92, p < 0.0001), in-hospital mortality (OR = 0.82, 95% CI: 0.72-0.93, p < 0.0001), and high length of stay outliers (OR = 0.48, 95% CI: 0.42-0.55, p < 0.0001) were lower in the high-cost nursing group. However, there was no significant effect on intensive care readmission between the two groups (OR = 1.24, 95% CI: 0.97-1.51, p > 0.05).

CONCLUSIONS

This study found that higher-cost nursing per bed was associated with significantly lower intensive care unit and in-hospital mortality rates, as well as fewer high length of stay outliers, but had no significant effect on readmission to the intensive care unit. .

Early combination therapy with immunoglobulin and steroids is associated with shorter ICU length of stay in Multisystem Inflammatory Syndrome in Children (MIS-C) associated with COVID-19: A retrospective cohort analysis from 28 U.S. Hospitals

Objectives

Suggested therapeutic options for Multisystem Inflammatory Syndrome in Children (MIS‐C) include intravenous immunoglobulins (IVIG) and steroids. Prior studies have shown the benefit of combination therapy with both agents on fever control or the resolution of organ dysfunction. The primary objective of this study was to analyze the impact of IVIG and steroids on hospital and ICU length of stay (LOS) in patients with MIS‐C associated with Coronavirus Disease 2019 (COVID‐19).

Study Design

This was a retrospective study on 356 hospitalized patients with MIS‐C from March 2020 to September 2021 (28 sites in the United States) in the Society of Critical Care Medicine (SCCM) Discovery Viral Infection and Respiratory Illness Universal Study (VIRUS) COVID‐19 Registry. The effect of IVIG and steroids initiated in the first 2 days of admission, alone or in combination, on LOS was analyzed. Adjustment for confounders was made by multivariable mixed regression with a random intercept for the site.

Results

The median age of the study population was 8.8 (Interquartile range (IQR) 4.0, 13) years. 247/356 (69%) patients required intensive care unit (ICU) admission during hospitalization. Overall hospital mortality was 2% (7/356). Of the total patients, 153 (43%) received IVIG and steroids, 33 (9%) received IVIG only, 43 (12%) received steroids only, and 127 (36%) received neither within 2 days of admission. After adjustment of confounders, only combination therapy showed a significant decrease of ICU LOS by 1.6 days compared to no therapy (exponentiated coefficient 0.71 [95% confidence interval 0.51, 0.97, p = 0.03]). No significant difference was observed in hospital LOS or the secondary outcome variable of the normalization of inflammatory mediators by Day 3.

Conclusions

Combination therapy with IVIG and steroids initiated in the first 2 days of admission favorably impacts ICU but not the overall hospital LOS in children with MIS‐C.

Association of ICU Admission and Outcomes in Sepsis and Acute Respiratory Failure

Rationale: Many decisions to admit patients to the ICU are not grounded in evidence regarding who benefits from such triage, straining ICU capacity and limiting its cost-effectiveness. Objectives: To measure the benefits of ICU admission for patients with sepsis or acute respiratory failure. Methods: At 27 United States hospitals across two health systems from 2013 to 2018, we performed a retrospective cohort study using two-stage instrumental variable quantile regression with a strong instrument (hospital capacity strain) governing ICU versus ward admission among high-acuity patients (i.e., laboratory-based acute physiology score v2 ⩾ 100) with sepsis and/or acute respiratory failure who did not require mechanical ventilation or vasopressors in the emergency department. Measurements and Main Results: Among patients with sepsis (n = 90,150), admission to the ICU was associated with a 1.32-day longer hospital length of stay (95% confidence interval [CI], 1.01-1.63; P < 0.001) (when treating deaths as equivalent to long lengths of stay) and higher in-hospital mortality (odds ratio, 1.48; 95% CI, 1.13-1.88; P = 0.004). Among patients with respiratory failure (n = 45,339), admission to the ICU was associated with a 0.82-day shorter hospital length of stay (95% CI, -1.17 to -0.46; P < 0.001) and reduced in-hospital mortality (odds ratio, 0.75; 95% CI, 0.57-0.96; P = 0.04). In sensitivity analyses of length of stay, excluding, ignoring, or censoring death, results were similar in sepsis but not in respiratory failure. In subgroup analyses, harms of ICU admission for patients with sepsis were concentrated among older patients and those with fewer comorbidities, and the benefits of ICU admission for patients with respiratory failure were concentrated among older patients, highest-acuity patients, and those with more comorbidities. Conclusions: Among high-acuity patients with sepsis who did not require life support in the emergency department, initial admission to the ward, compared with the ICU, was associated with shorter length of stay and improved survival, whereas among patients with acute respiratory failure, triage to the ICU compared with the ward was associated with improved survival.

Association of a Novel Index of Hospital Capacity Strain with Admission to Intensive Care Units

Rationale: Prior approaches to measuring healthcare capacity strain have been constrained by using individual care units, limited metrics of strain, or general, rather than disease-specific, populations.Objectives: We sought to develop a novel composite strain index and measure its association with intensive care unit (ICU) admission decisions and hospital outcomes.Methods: Using more than 9.2 million acute care encounters from 27 Kaiser Permanente Northern California and Penn Medicine hospitals from 2013 to 2018, we deployed multivariable ridge logistic regression to develop a composite strain index based on hourly measurements of 22 capacity-strain metrics across emergency departments, wards, step-down units, and ICUs. We measured the association of this strain index with ICU admission and clinical outcomes using multivariable logistic and quantile regression.Results: Among high-acuity patients with sepsis (n = 90,150) and acute respiratory failure (ARF; n = 45,339) not requiring mechanical ventilation or vasopressors, strain at the time of emergency department disposition decision was inversely associated with the probability of ICU admission (sepsis: adjusted probability ranging from 29.0% [95% confidence interval, 28.0-30.0%] at the lowest strain index decile to 9.3% [8.7-9.9%] at the highest strain index decile; ARF: adjusted probability ranging from 47.2% [45.6-48.9%] at the lowest strain index decile to 12.1% [11.0-13.2%] at the highest strain index decile; P < 0.001 at all deciles). Among subgroups of patients who almost always or never went to the ICU, strain was not associated with hospital length of stay, mortality, or discharge disposition (all P ≥ 0.13). Strain was also not meaningfully associated with patient characteristics.Conclusions: Hospital strain, measured by a novel composite strain index, is strongly associated with ICU admission among patients with sepsis and/or ARF. This strain index fulfills the assumptions of a strong within-hospital instrumental variable for quantifying the net benefit of admission to the ICU for patients with sepsis and/or ARF.

Prognosticating Outcomes and Nudging Decisions with Electronic Records in the Intensive Care Unit Trial Protocol

Expert recommendations to discuss prognosis and offer palliative options for critically ill patients at high risk of death are variably heeded by intensive care unit (ICU) clinicians. How to best promote such communication to avoid potentially unwanted aggressive care is unknown. The PONDER-ICU (Prognosticating Outcomes and Nudging Decisions with Electronic Records in the ICU) study is a 33-month pragmatic, stepped-wedge cluster randomized trial testing the effectiveness of two electronic health record (EHR) interventions designed to increase ICU clinicians' engagement of critically ill patients at high risk of death and their caregivers in discussions about all treatment options, including care focused on comfort. We hypothesize that the quality of care and patient-centered outcomes can be improved by requiring ICU clinicians to document a functional prognostic estimate (intervention A) and/or to provide justification if they have not offered patients the option of comfort-focused care (intervention B). The trial enrolls all adult patients admitted to 17 ICUs in 10 hospitals in North Carolina with a preexisting life-limiting illness and acute respiratory failure requiring continuous mechanical ventilation for at least 48 hours. Eligibility is determined using a validated algorithm in the EHR. The sequence in which hospitals transition from usual care (control), to intervention A or B and then to combined interventions A + B, is randomly assigned. The primary outcome is hospital length of stay. Secondary outcomes include other clinical outcomes, palliative care process measures, and nurse-assessed quality of dying and death.Clinical trial registered with clinicaltrials.gov (NCT03139838).

Implementing nudges to promote utilization of low tidal volume ventilation (INPUT): a stepped-wedge, hybrid type III trial of strategies to improve evidence-based mechanical ventilation management

Background

Behavioral economic insights have yielded strategies to overcome implementation barriers. For example, default strategies and accountable justification strategies have improved adherence to best practices in clinical settings. Embedding such strategies in the electronic health record (EHR) holds promise for simple and scalable approaches to facilitating implementation. A proven-effective but under-utilized treatment for patients who undergo mechanical ventilation involves prescribing low tidal volumes, which protects the lungs from injury. We will evaluate EHR-based implementation strategies grounded in behavioral economic theory to improve evidence-based management of mechanical ventilation.

Methods

The Implementing Nudges to Promote Utilization of low Tidal volume ventilation (INPUT) study is a pragmatic, stepped-wedge, hybrid type III effectiveness implementation trial of three strategies to improve adherence to low tidal volume ventilation. The strategies target clinicians who enter electronic orders and respiratory therapists who manage the mechanical ventilator, two key stakeholder groups. INPUT has five study arms: usual care, a default strategy within the mechanical ventilation order, an accountable justification strategy within the mechanical ventilation order, and each of the order strategies combined with an accountable justification strategy within flowsheet documentation. We will create six matched pairs of twelve intensive care units (ICUs) in five hospitals in one large health system to balance patient volume and baseline adherence to low tidal volume ventilation. We will randomly assign ICUs within each matched pair to one of the order panels, and each pair to one of six wedges, which will determine date of adoption of the order panel strategy. All ICUs will adopt the flowsheet documentation strategy 6 months afterwards. The primary outcome will be fidelity to low tidal volume ventilation. The secondary effectiveness outcomes will include in-hospital mortality, duration of mechanical ventilation, ICU and hospital length of stay, and occurrence of potential adverse events.

Discussion

This stepped-wedge, hybrid type III trial will provide evidence regarding the role of EHR-based behavioral economic strategies to improve adherence to evidence-based practices among patients who undergo mechanical ventilation in ICUs, thereby advancing the field of implementation science, as well as testing the effectiveness of low tidal volume ventilation among broad patient populations.

Trial registration

ClinicalTrials.gov, NCT04663802. Registered 11 December 2020.

The ARREST Pneumonia Clinical Trial. Rationale and Design

Patients hospitalized for pneumonia are at high risk for mortality. Effective therapies are therefore needed. Recent randomized clinical trials suggest that systemic steroids can reduce the length of hospital stays among patients hospitalized for pneumonia. Furthermore, preliminary findings from a feasibility study demonstrated that early treatment with a combination of an inhaled corticosteroid and a bronchodilator can improve oxygenation and reduce risk of respiratory failure in patients at risk of acute respiratory distress syndrome. Whether such a combination administered early is effective in reducing acute respiratory failure (ARF) among patients hospitalized with pneumonia is unknown. Here we describe the ARREST Pneumonia (Arrest Respiratory Failure due to Pneumonia) trial designed to address this question. ARREST Pneumonia is a two-arm, randomized, double-blinded, placebo-controlled trial designed to test the efficacy of a combination of an inhaled corticosteroid and a β-agonist compared with placebo for the prevention of ARF in hospitalized participants with severe pneumonia. The primary outcome is ARF within 7 days of randomization, defined as a composite endpoint of intubation and mechanical ventilation; need for high-flow nasal cannula oxygen therapy or noninvasive ventilation for >36 hours (each alone or combined); or death within 36 hours of being placed on respiratory support. The planned enrollment is 600 adult participants at 10 academic medical centers. In addition, we will measure selected plasma biomarkers to better understand mechanisms of action. The trial is funded by the U.S. National Heart Lung and Blood Institute.Clinical trial registered with www.clinicaltrials.gov (NCT04193878).

Association of an Emergency Department-embedded Critical Care Unit with Hospital Outcomes and Intensive Care Unit Use

Rationale: A small but growing number of hospitals are experimenting with emergency department-embedded critical care units (CCUs) in an effort to improve the quality of care for critically ill patients with sepsis and acute respiratory failure (ARF).Objectives: To evaluate the potential impact of an emergency department-embedded CCU at the Hospital of the University of Pennsylvania among patients with sepsis and ARF admitted from the emergency department to a medical ward or intensive care unit (ICU) from January 2016 to December 2017.Methods: The exposure was eligibility for admission to the emergency department-embedded CCU, which was defined as meeting a clinical definition for sepsis or ARF and admission to the emergency department during the intervention period on a weekday. The primary outcome was hospital length of stay (LOS); secondary outcomes included total emergency department plus ICU LOS, hospital survival, direct admission to the ICU, and unplanned ICU admission. Primary interrupted time series analyses were performed using ordinary least squares regression comparing monthly means. Secondary retrospective cohort and before-after analyses used multivariable Cox proportional hazard and logistic regression.Results: In the baseline and intervention periods, 3,897 patients met the inclusion criteria for sepsis and 1,865 patients met the criteria for ARF. Among patients admitted with sepsis, opening of the emergency department-embedded CCU was not associated with hospital LOS (β = -1.82 d; 95% confidence interval [CI], -4.50 to 0.87; P = 0.17 for the first month after emergency department-embedded CCU opening compared with baseline; β = -0.26 d; 95% CI, -0.58 to 0.06; P = 0.10 for subsequent months). Among patients admitted with ARF, the emergency department-embedded CCU was not associated with a significant change in hospital LOS for the first month after emergency department-embedded CCU opening (β = -3.25 d; 95% CI, -7.86 to 1.36; P = 0.15) but was associated with a 0.64 d/mo shorter hospital LOS for subsequent months (β = -0.64 d; 95% CI, -1.12 to -0.17; P = 0.01). This result persisted among higher acuity patients requiring ventilatory support but was not supported by alternative analytic approaches. Among patients admitted with sepsis who did not require mechanical ventilation or vasopressors in the emergency department, the emergency department-embedded CCU was associated with an initial 9.9% reduction in direct ICU admissions in the first month (β = -0.099; 95% CI, -0.153 to -0.044; P = 0.002), followed by a 1.1% per month increase back toward baseline in subsequent months (β = 0.011; 95% CI, 0.003-0.019; P = 0.009). This relationship was supported by alternative analytic approaches and was not seen in ARF. No associations with emergency department plus ICU LOS, hospital survival, or unplanned ICU admission were observed among patients with sepsis or ARF.Conclusions: The emergency department-embedded CCU was not associated with clinical outcomes among patients admitted with sepsis or ARF. Among less sick patients with sepsis, the emergency department-embedded CCU was initially associated with reduced rates of direct ICU admission from the emergency department. Additional research is necessary to further evaluate the impact and utility of the emergency department-embedded CCU model.

Operationalizing needs-focused palliative care for older adults in intensive care units: Design of and rationale for the PCplanner randomized clinical trial

INTRODUCTION

The number of older adults who receive life support in an intensive care unit (ICU), now 2 million per year, is increasing while survival remains unchanged. Because the quality of ICU-based palliative care is highly variable, we developed a mobile app intervention that integrates into the electronic health records (EHR) system called PCplanner (Palliative Care planner) with the goal of improving collaborative primary and specialist palliative care delivery in ICU settings.

OBJECTIVE

To describe the methods of a randomized clinical trial (RCT) being conducted to compare PCplanner vs. usual care.

METHODS AND ANALYSIS

The goal of this two-arm, parallel group mixed methods RCT is to determine the clinical impact of the PCplanner intervention on outcomes of interest to patients, family members, clinicians, and policymakers over a 3-month follow up period. The primary outcome is change in unmet palliative care needs measured by the NEST instrument between baseline and 1 week post-randomization. Secondary outcomes include goal concordance of care, patient-centeredness of care, and quality of communication at 1 week post-randomization; length of stay; as well as symptoms of depression, anxiety, and post-traumatic stress disorder at 3 months post-randomization. We will use general linear models for repeated measures to compare outcomes across the main effects and interactions of the factors. We hypothesize that compared to usual care, PCplanner will have a greater impact on the quality of ICU-based palliative care delivery across domains of core palliative care needs, psychological distress, patient-centeredness, and healthcare resource utilization.

What can be learned from crude intensive care unit mortality? Methodological implications

PURPOSE

Demonstrate the practical range of information that can be obtained about ICU mortality/survival from limited administrative data.

MATERIALS AND METHODS

Prospectively collected administrative data (length-of stay, survival/mortality, referring service) from a university medical center's General ICU was subjected to retrospective analysis to demonstrate ways of presenting and analyzing mortality/survival information.

RESULTS

16,022 patients (87,624 patient-days) admitted over 23 years were included. 28% of all deaths occurred on ICU day 1. When considering all admissions, mortality on ICU day 1 was 2%, while the overall crude mortality rate revealed that the chances of dying during an ICU stay was 8.6%. Mortality rates in the overall population steadily increased over ICU days 1-5, plateaued during days 6 to 50, decreasing after day 50. The general surgery subgroup had a similar pattern. This contrasted with the internal medicine subgroup where mortality steadily increased over the initial 14 ICU days then plateauing at rates of 40-50%.

INTERPRETATION

Simple calculations using the few variables found in administrative database enhanced information provided by the crude mortality rate and demonstrated that temporal patterns of mortality change as stay lengthens. These results highlight the limitations of just using overall crude mortality rates.

Contemporary strategies to improve clinical trial design for critical care research: insights from the First Critical Care Clinical Trialists Workshop

BACKGROUND

Conducting research in critically-ill patient populations is challenging, and most randomized trials of critically-ill patients have not achieved pre-specified statistical thresholds to conclude that the intervention being investigated was beneficial.

METHODS

In 2019, a diverse group of patient representatives, regulators from the USA and European Union, federal grant managers, industry representatives, clinical trialists, epidemiologists, and clinicians convened the First Critical Care Clinical Trialists (3CT) Workshop to discuss challenges and opportunities in conducting and assessing critical care trials. Herein, we present the advantages and disadvantages of available methodologies for clinical trial design, conduct, and analysis, and a series of recommendations to potentially improve future trials in critical care.

CONCLUSION

The 3CT Workshop participants identified opportunities to improve critical care trials using strategies to optimize sample size calculations, account for patient and disease heterogeneity, increase the efficiency of trial conduct, maximize the use of trial data, and to refine and standardize the collection of patient-centered and patient-informed outcome measures beyond mortality.

Measuring and Analyzing Length of Stay in Critical Care Trials

BACKGROUND

In randomized clinical trials among critically ill patients, it is uncertain how choices regarding the measurement and analysis of nonmortal outcomes measured in terms of duration, such as intensive care unit (ICU) length of stay (LOS), affect studies' conclusions.

OBJECTIVES

Assess the definitions and analytic methods used for ICU LOS analyses in published randomized clinical trials.

RESEARCH DESIGN

This is a systematic review and statistical simulation study.

RESULTS

Among the 80 of 150 trials providing sufficient information regarding the chosen definition of ICU LOS, 3 different start times (ICU admission, trial enrollment/randomization, receipt of intervention) and 2 end times (discharge readiness, actual discharge) were used. In roughly three quarters of these studies, ICU LOS was compared using approaches that did not explicitly account for death, either by ignoring it entirely or stratifying the analyses by survival status. The remaining studies used time-to-event (discharge) models censoring at death or applied a fixed LOS value to patients who died. In statistical simulations, we showed that each analytic approach tested a different question regarding ICU LOS, and that approaches that do not explicitly account for death often produce misleading or ambiguous conclusions when treatments produce small effects on mortality, even if those are not detected as significant in the trial.

CONCLUSIONS

There is considerable variability in how ICU LOS is measured and analyzed which impairs the ability to compare results across trials and can produce spurious conclusions. Analyses of duration-based outcomes such as LOS should jointly assess the impact of the intervention on mortality to yield correct interpretations.

The Association of Physician Orders for Life-Sustaining Treatment With Intensity of Treatment Among Patients Presenting to the Emergency Department

STUDY OBJECTIVE

Physician Orders for Life-Sustaining Treatment (POLST) forms are intended to help prevent the provision of unwanted medical interventions among patients with advanced illness or frailty who are approaching the end of life. We seek to evaluate how POLST form completion, treatment limitations, or both influence intensity of treatment among patients who present to the emergency department (ED).

METHODS

This was a retrospective cohort study of adults who presented to the ED at an academic medical center in Oregon between April 2015 and October 2016. POLST form completion and treatment limitations were the main exposures. Primary outcome was hospital admission; secondary outcomes included ICU admission and a composite measure of aggressive treatment.

RESULTS

A total of 26,128 patients were included; 1,769 (6.8%) had completed POLST forms. Among patients with POLST, 52.1% had full treatment orders, and 6.4% had their forms accessed before admission. POLST form completion was not associated with hospital admission (adjusted odds ratio [aOR]=0.97; 95% confidence interval [CI] 0.84 to 1.12), ICU admission (aOR=0.82; 95% CI 0.55 to 1.22), or aggressive treatment (aOR=1.06; 95% CI 0.75 to 1.51). Compared with POLST forms with full treatment orders, those with treatment limitations were not associated with hospital admission (aOR=1.12; 95% CI 0.92 to 1.37) or aggressive treatment (aOR=0.87; 95% CI 0.5 to 1.52), but were associated with lower odds of ICU admission (aOR=0.31; 95% CI 0.16 to 0.61).

CONCLUSION

Among patients presenting to the ED with POLST, the majority of POLST forms had orders for full treatment and were not accessed by emergency providers. These findings may partially explain why we found no association of POLST with treatment intensity. However, treatment limitations on POLST forms were associated with reduced odds of ICU admission. Implementation and accessibility of POLST forms are crucial when considering their effect on the provision of treatment consistent with patients' preferences.

Incorporating Longitudinal Comorbidity and Acute Physiology Data in Template Matching for Assessing Hospital Quality: An Exploratory Study in an Integrated Health Care Delivery System

OBJECTIVE

We sought to build on the template-matching methodology by incorporating longitudinal comorbidities and acute physiology to audit hospital quality.

STUDY SETTING

Patients admitted for sepsis and pneumonia, congestive heart failure, hip fracture, and cancer between January 2010 and November 2011 at 18 Kaiser Permanente Northern California hospitals.

STUDY DESIGN

We generated a representative template of 250 patients in 4 diagnosis groups. We then matched between 1 and 5 patients at each hospital to this template using varying levels of patient information.

DATA COLLECTION

Data were collected retrospectively from inpatient and outpatient electronic records.

PRINCIPAL FINDINGS

Matching on both present-on-admission comorbidity history and physiological data significantly reduced the variation across hospitals in patient severity of illness levels compared with matching on administrative data only. After adjustment for longitudinal comorbidity and acute physiology, hospital rankings on 30-day mortality and estimates of length of stay were statistically different from rankings based on administrative data.

CONCLUSIONS

Template matching-based approaches to hospital quality assessment can be enhanced using more granular electronic medical record data.

Rationale and Design of the Randomized Evaluation of Default Access to Palliative Services (REDAPS) Trial

The substantial nationwide investment in inpatient palliative care services stems from their great promise to improve patient-centered outcomes and reduce costs. However, robust experimental evidence of these benefits is lacking. The Randomized Evaluation of Default Access to Palliative Services (REDAPS) study is a pragmatic, stepped-wedge, cluster randomized trial designed to test the efficacy and costs of specialized palliative care consultative services for hospitalized patients with advanced chronic obstructive pulmonary disease, dementia, or end-stage renal disease, as well as the overall effectiveness of ordering such services by default. Additional aims are to identify the types of services that are most beneficial and the types of patients most likely to benefit, including comparisons between ward and intensive care unit patients. We hypothesize that patient-centered outcomes can be improved without increasing costs by simply changing the default option for palliative care consultation from opt-in to opt-out for patients with life-limiting illnesses. Patients aged 65 years or older are enrolled at 11 hospitals using an integrated electronic health record. As a pragmatic trial designed to enroll between 12,000 and 15,000 patients, eligibility is determined using a validated, electronic health record-based algorithm, and all outcomes are captured via the electronic health record and billing systems data. The time at which each hospital transitions from control, opt-in palliative care consultation to intervention, opt-out consultation is randomly assigned. The primary outcome is a composite measure of in-hospital mortality and length of stay. Secondary outcomes include palliative care process measures and clinical and economic outcomes. Clinical trial registered with www.clinicaltrials.gov (NCT02505035).

Measurement Error Due to Patient Flow in Estimates of Intensive Care Unit Length of Stay

Clinical endpoints measured in terms of duration, such as intensive care unit (ICU) length of stay (LOS), are widely used in randomized clinical trials (RCTs) and observational research. In analyses of patient-level data from a recent RCT, in which ICU LOS was the primary endpoint, and in administrative data, we showed that additional ICU time is often accrued by patients after they are deemed ready for discharge. This "immutable" time (which cannot plausibly be altered by interventions under study) varies by day, week, and year, adding on average one-third of a day to total LOS. We then used statistical simulations, informed by the administrative data and RCT, to assess the impact of immutable time on the measurement and statistical comparison of patients' ICU LOS. These simulations demonstrated that immutable time combines with clinically necessary ICU time (neither of which is likely to be normally distributed) to produce overall LOS distributions that might either mask true treatment effects or suggest false treatment effects relative to analyses of time to discharge readiness. The extent and direction of bias were complex functions of the statistical method used, mortality rates and distributions, and the magnitude of immutable time relative to intervention-associated reductions in LOS.

Evaluating the Economic Impact of Palliative and End-of-Life Care Interventions on Intensive Care Unit Utilization and Costs from the Hospital and Healthcare System Perspective

Purpose of report: Understanding the impact of palliative care interventions on intensive care unit (ICU) costs and utilization is critical for demonstrating the value of palliative care. Performing these economic assessments, however, can be challenging. The purpose of this special report is to highlight and discuss important considerations when assessing ICU utilization and costs from the hospital perspective, with the goal of providing recommendations on methods to consider for future analyses.

FINDINGS

ICU length of stay (LOS) and associated costs of care are common and important outcome measures, but must be analyzed properly to yield valid conclusions. There is significant variation in costs by day of stay in the ICU with only modest differences between an ICU day at the end of a stay and the first day on the acute care floor; this variation must be appropriately accounted for analytically. Furthermore, reporting direct variable costs, in addition to total ICU costs, is needed to understand short-term and long-term impact of a reduction in LOS. Importantly, incentives for the hospital to realize savings vary depending on reimbursement policies.

SUMMARY

ICU utilization and costs are common outcomes in studies evaluating palliative care interventions. Accurate estimation and interpretation are key to understanding the economic implications of palliative care interventions.

Crystalloid Fluid Choice and Clinical Outcomes in Pediatric Sepsis: A Matched Retrospective Cohort Study

OBJECTIVE

To test the hypothesis that resuscitation with balanced fluids (lactated Ringer [LR]) is associated with improved outcomes compared with normal saline (NS) in pediatric sepsis.

STUDY DESIGN

We performed matched analyses using data from 12 529 patients <18 years of age with severe sepsis/septic shock at 382 US hospitals between 2000 and 2013 to compare outcomes with vs without LR as part of initial resuscitation. Patients receiving LR were matched 1:1 to patients receiving only NS (NS group), including separate matches for any (LR-any group) or exclusive (LR-only group) LR use. Outcomes included 30-day hospital mortality, acute kidney injury, new dialysis, and length of stay.

RESULTS

The LR-any group was older, received larger crystalloid volumes, and was less likely to have malignancies than the NS group. After matching, mortality was not different between LR-any (7.2%) and NS (7.9%) groups (risk ratio 0.99, 95% CI 0.98, 1.01; P = .20). There were no differences in secondary outcomes except longer hospital length of stay in LR-any group (absolute difference 2.4, 95% CI 1.4, 5.0 days; P < .001). Although LR was preferentially used as adjunctive fluid with large-volume resuscitation or first-line fluid in patients with lower illness severity, outcomes were not different after matching stratified by volume and proportionate LR utilization, including for patients in the LR-only group.

CONCLUSIONS

Balanced fluid resuscitation with LR was not associated with improved outcomes compared with NS in pediatric sepsis. Although the current practice of NS resuscitation is justified, selective LR use necessitates a prospective trial to definitively determine comparative effectiveness among crystalloids.