Electrical Impedance Tomography-based Ventilation Patterns in Patients after Major Surgery.

Rationale: General anesthesia and mechanical ventilation have negative impacts on the respiratory system, causing heterogeneous distribution of lung aeration, but little is known about the ventilation patterns of postoperative patients and their association with clinical outcomes. Objectives: To clarify the phenotypes of ventilation patterns along a gravitational direction after surgery by using electrical impedance tomography (EIT) and to evaluate their association with postoperative pulmonary complications (PPCs) and other relevant clinical outcomes. Methods: Adult postoperative patients at high risk for PPCs, receiving mechanical ventilation on ICU admission (N = 128), were prospectively enrolled between November 18, 2021 and July 18, 2022. PPCs were prospectively scored until hospital discharge, and their association with phenotypes of ventilation patterns was studied. The secondary outcomes were the times to wean from mechanical ventilation and oxygen use and the length of ICU stay. Measurements and Main Results: Three phenotypes of ventilation patterns were revealed by EIT: phenotype 1 (32% [n = 41], a predominance of ventral ventilation), phenotype 2 (41% [n = 52], homogeneous ventilation), and phenotype 3 (27% [n = 35], a predominance of dorsal ventilation). The median PPC score was higher in phenotype 1 and phenotype 3 than in phenotype 2. The median time to wean from mechanical ventilation was longer in phenotype 1 versus phenotype 2. The median duration of ICU stay was longer in phenotype 1 versus phenotype 2. The median time to wean from oxygen use was longer in phenotype 1 and phenotype 3 than in phenotype 2. Conclusions: Inhomogeneous ventilation patterns revealed by EIT on ICU admission were associated with PPCs, delayed weaning from mechanical ventilation and oxygen use, and a longer ICU stay.

A streamlined pathway for transcatheter aortic valve implantation: the BENCHMARK study.

BACKGROUND AND AIMS: There is significant potential to streamline the clinical pathway for patients undergoing transcatheter aortic valve implantation (TAVI). The purpose of this study was to evaluate the effect of implementing BENCHMARK best practices on the efficiency and safety of TAVI in 28 sites in 7 European countries. METHODS: This was a study of patients with severe symptomatic aortic stenosis (AS) undergoing TAVI with balloon-expandable valves before and after implementation of BENCHMARK best practices. Principal objectives were to reduce hospital length of stay (LoS) and duration of intensive care stay. Secondary objective was to document patient safety. RESULTS: Between January 2020 and March 2023, 897 patients were documented prior to and 1491 patients after the implementation of BENCHMARK practices. Patient characteristics were consistent with a known older TAVI population and only minor differences. Mean LoS was reduced from 7.7 ± 7.0 to 5.8 ± 5.6 days (median 6 vs. 4 days; P < .001). Duration of intensive care was reduced from 1.8 to 1.3 days (median 1.1 vs. 0.9 days; P < .001). Adoption of peri-procedure best practices led to increased use of local anaesthesia (96.1% vs. 84.3%; P < .001) and decreased procedure (median 47 vs. 60 min; P < .001) and intervention times (85 vs. 95 min; P < .001). Thirty-day patient safety did not appear to be compromised with no differences in all-cause mortality (0.6% in both groups combined), stroke/transient ischaemic attack (1.4%), life-threatening bleeding (1.3%), stage 2/3 acute kidney injury (0.7%), and valve-related readmission (1.2%). CONCLUSIONS: Broad implementation of BENCHMARK practices contributes to improving efficiency of TAVI pathway reducing LoS and costs without compromising patient safety.

Effect of Exercise Training on Prognosis in Community-acquired Pneumonia: A Randomized Controlled Trial.

OBJECTIVE: To investigate the effect of standard care (SoC) combined with supervised in-bed cycling (Bed-Cycle) or booklet exercises (Book-Exe) versus SoC in community-acquired pneumonia (CAP). METHODS: In this randomized controlled trial, 186 patients with CAP were assigned to SoC (n = 62), Bed-Cycle (n = 61), or Book-Exe (n = 63). Primary outcome length of stay (LOS) was analyzed with analysis of covariance. Secondary outcomes, 90-day readmission, and 180-day mortality were analyzed with Cox proportional hazard regression and readmission days with negative-binominal regression. RESULTS: LOS was -2% (95% CI: -24 to 25) and -1% (95% CI: -22 to 27) for Bed-Cycle and Book-Exe, compared with SoC. Ninety-day readmission was 35.6% for SoC, 27.6% for Bed-Cycle, and 21.3% for Book-Exe. Adjusted hazard ratio (aHR) for 90-day readmission was 0.63 (95% CI: .33-1.21) and 0.54 (95% CI: .27-1.08) for Bed-Cycle and Book-Exe compared with SoC. aHR for 90-day readmission for combined exercise was 0.59 (95% CI: .33-1.03) compared with SoC. aHR for 180-day mortality was 0.84 (95% CI: .27-2.60) and 0.82 (95% CI: .26-2.55) for Bed-Cycle and Book-Exe compared with SoC. Number of readmission days was 226 for SoC, 161 for Bed-Cycle, and 179 for Book-Exe. Incidence rate ratio for readmission days was 0.73 (95% CI: .48-1.10) and 0.77 (95% CI: .51-1.15) for Bed-Cycle and Book-Exe compared with SoC. CONCLUSIONS: Although supervised exercise training during admission with CAP did not reduce LOS or mortality, this trial suggests its potential to reduce readmission risk and number of readmission days. CLINICAL TRIALS REGISTRATION: NCT04094636.

Characterizing the burden of biliary tract cancers across 28 hospitals in Ontario, Canada.

BACKGROUND AND AIMS: The incidence of biliary tract cancers (BTC) appears to be increasing worldwide. We analyzed the characteristics of BTC-related hospitalizations under medical services across 28 hospitals in Ontario, Canada. METHODS: This study uses data collected by GEMINI, a hospital research data network. BTC-related hospitalizations from 2015 to 2021 under the Department of Medicine or intensive care unit were captured using the International Classification of Diseases, 10th revision, codes for intrahepatic cholangiocarcinoma (iCCA), extrahepatic cholangiocarcinoma, and gallbladder cancers. RESULTS: A total of 4596 BTC-related hospitalizations (2720 iCCA, 1269 extrahepatic cholangiocarcinoma, 607 gallbladder cancers) were analyzed. The number of unique patients with BTC-related hospitalizations increased over time. For iCCA-related hospitalizations, the total number of hospitalizations increased (from 385 in 2016 to 420 in 2021, p = .005), the hospital length of stay decreased over the study period (mean 10 days [SD, 12] in 2016 to 9 days [SD, 8] in 2021, p = .04), and the number of in-hospital deaths was stable (from 68 [18%] in 2016 to 55 [13%] in 2021, p = .62). Other outcomes such as 30-day readmissions, medical imaging tests, intensive care unit-specific hospitalizations, and length of stay were stable over time for all cohorts. The cost of hospitalization for the BTC cohort increased from median $8203 CAD (interquartile range, 5063-15,543) in 2017 to $8507 CAD (interquartile range, 5345-14,755) in 2021. CONCLUSIONS: This real-world data analysis showed a rising number of patients with BTC-related hospitalizations and rising number of iCCA-related hospitalizations across 28 hospitals in Ontario between 2015 and 2021.

Centralization of Pancreaticoduodenectomy: A Systematic Review and Spline Regression Analysis to Recommend Minimum Volume for a Specialist Pancreas Service.

OBJECTIVE: Through a systematic review and spline curve analysis, to better define the minimum volume threshold for hospitals to perform (pancreaticoduodenectomy) and the high-volume center. BACKGROUND: The pancreaticoduodenectomy (PD) is a resource-intensive procedure, with high morbidity and long hospital stays resulting in centralization towards high-volume hospitals; the published definition of high volume remains variable. MATERIALS AND METHODS: Following a systematic review of studies comparing PD outcomes across volume groups, semiparametric regression modeling of morbidity (%), mortality (%), length of stay (days), lymph node harvest (number of nodes), and cost ($USD) as continuous variables were performed and fitted as a smoothed function of splines. If this showed a nonlinear association, then a "zero-crossing" technique was used, which produced "first and second derivatives" to identify volume thresholds. RESULTS: Our analysis of 33 cohort studies (198,377 patients) showed 55 PDs/year and 43 PDs/year were the threshold value required to achieve the lowest morbidity and highest lymph node harvest, with model estimated df 5.154 ( P <0.001) and 8.254 ( P <0.001), respectively. The threshold value for mortality was ~45 PDs/year (model 9.219 ( P <0.001)), with the lowest mortality value (the optimum value) at ~70 PDs/year (ie, a high-volume center). No significant association was observed for cost ( edf =2, P =0.989) and length of stay ( edf =2.04, P =0.099). CONCLUSIONS: There is a significant benefit from the centralization of PD, with 55 PDs/year and 43 PDs/year as the threshold value required to achieve the lowest morbidity and highest lymph node harvest, respectively. To achieve mortality benefit, the minimum procedure threshold is 45 PDs/year, with the lowest and optimum mortality value (ie, a high-volume center) at approximately 70 PDs/year.

Anatomic Lung Resection Outcomes After Implementation of a Universal Thoracic ERAS Protocol Across a Diverse Health Care System.

OBJECTIVE: We sought to evaluate how implementing a thoracic enhanced recovery after surgery (ERAS) protocol impacted surgical outcomes after elective anatomic lung resection. BACKGROUND: The effect of implementing the ERAS Society/European Society of Thoracic Surgery thoracic ERAS protocol on postoperative outcomes throughout an entire health care system has not yet been reported. METHODS: This was a prospective cohort study within one health care system (January 2019-March, 2023). A thoracic ERAS protocol was implemented on May 1, 2021 for elective anatomic lung resections, and postoperative outcomes were tracked using the electronic health record and Vizient data. The primary outcome was overall morbidity; secondary outcomes included individual complications, length of stay, opioid use, chest tube duration, and total cost. Patients were grouped into pre-ERAS and post-ERAS cohorts. Bivariable comparisons were performed using independent t -test, χ 2 , or Fisher exact tests, and multivariable logistic regression was performed to control for confounders. RESULTS: There were 1007 patients in the cohort; 450 (44.7%) were in the post-ERAS group. Mean age was 66.2 years; most patients were female (65.1%), white (83.8%), had a body mass index between 18.5 and 29.9 (69.7%), and were ASA class 3 (80.6%). Patients in the postimplementation group had lower risk-adjusted rates of any morbidity, respiratory complication, pneumonia, surgical site infection, arrhythmias, infections, opioid usage, ICU use, and shorter postoperative length of stay (all P <0.05). CONCLUSIONS: Postoperative outcomes were improved after the implementation of an evidence-based thoracic ERAS protocol throughout the health care system. This study validates the ERAS Society/European Society of Thoracic Surgery guidelines and demonstrates that simultaneous multihospital implementation can be feasible and effective.

Clinical Impact of an Enhanced Recovery Program for Lower-extremity Bypass.

OBJECTIVE: To determine the association of Enhanced Recovery Program (ERP) implementation with length of stay (LOS) and perioperative outcomes after lower-extremity bypass (LEB). BACKGROUND: ERPs have been shown to decrease hospital LOS and improve perioperative outcomes, but their impact on patients undergoing vascular surgery remains unknown. METHODS: Patients undergoing LEB who received or did not receive care under the ERP were included; pre-ERP (January 1, 2016-May 13, 2018) and ERP (May 14, 2018-July 31, 2022). Clinicopathologic characteristics and perioperative outcomes were analyzed. RESULTS: Of 393 patients who underwent LEB [pre-ERP: n = 161 (41%); ERP: n = 232 (59%)], most were males (n = 254, 64.6%), White (n = 236, 60%), and government-insured (n = 265, 67.4%). Pre-ERP patients had higher Body Mass Index (28.8 ± 6.0 vs 27.4 ± 5.7, P = 0.03) and rates of diabetes (52% vs 36%, P = 0.002). ERP patients had a shorter total [6 (3-13) vs 7 (5-14) days, P = 0.01) and postoperative LOS [5 (3-8) vs 6 (4-8) days, P < 0.001]. Stratified by indication, postoperative LOS was shorter in ERP patients with claudication (3 vs 5 days, P = 0.01), rest pain (5 vs 6 days, P = 0.02), and tissue loss (6 vs 7 days, P = 0.03). ERP patients with rest pain also had a shorter total LOS (6 vs 7 days, P = 0.04) and lower 30-day readmission rates (32%-17%, P = 0.02). After ERP implementation, the average daily oral morphine equivalents decreased [median (interquartile range): 52.5 (26.6-105.0) vs 44.12 (22.2-74.4), P = 0.019], while the rates of direct discharge to home increased (83% vs 69%, P = 0.002). CONCLUSIONS: This is the largest single-center cohort study evaluating ERP in LEB, showing that ERP implementation is associated with shorter LOS and improved perioperative outcomes.

The Role of Hospital Characteristics in Clinical and Quality Outcomes for Gastrointestinal Bleeding in a National Cohort.

INTRODUCTION: There is substantial variability in patient outcomes for gastrointestinal bleeding (GIB) across hospitals. This study aimed to identify hospital factors associated with GIB outcomes. METHODS: This was a retrospective cohort study of Medicare fee-for-service beneficiaries hospitalized for GIB from 2016 to 2018. These data were merged with the American Hospital Association Annual Survey data to incorporate hospital characteristics. We used generalized linear mixed-effect models to estimate the effect of hospital-level characteristics on patient outcomes after adjusting for patient risk factors including anticoagulant and antiplatelet use, recent GIB, and comorbidities. The primary outcome was 30-day mortality, and secondary outcomes included length of stay and a composite outcome of 30-day readmission or mortality. RESULTS: Factors associated with improved GIB 30-day mortality included large hospital size (defined as beds >400, odds ratio [OR] 0.93, 95% confidence interval [CI] 0.90-0.97), greater case volume (OR 0.97, 95% CI 0.96-0.98), increased resident and nurse staffing (OR 0.88, 95% CI 0.83-0.94), and blood donor center designation (OR 0.93, 95% CI 0.88-0.99). Patients treated at a hospital with multiple advanced capabilities, such as availability of advanced endoscopy, advanced intensive care unit (ICU) capabilities (both a medical-surgical ICU and cardiac ICU), blood donor center, and liver transplant center, had a 22% reduction in 30-day mortality risk, compared with those hospitalized in a hospital with none of these services (OR 0.78, 95% CI 0.68-0.91). However, length of stay increased with additional services. DISCUSSION: Patients hospitalized for GIB at hospitals with multiple advanced specialized capabilities have lower mortality but longer lengths of stay. Further research should examine the processes of care linked to these services that contribute to improved mortality in GIB.

Variation in risk-adjusted cardiac intensive care unit (CICU) length of stay and the association with in-hospital mortality: An analysis from the Critical Care Cardiology Trials Network (CCCTN) registry.

BACKGROUND: Previous studies have suggested that there is wide variability in cardiac intensive care unit (CICU) length of stay (LOS); however, these studies are limited by the absence of detailed risk assessment at the time of admission. Thus, we evaluated inter-hospital differences in CICU LOS, and the association between LOS and in-hospital mortality. METHODS: Using data from the Critical Care Cardiology Trials Network (CCCTN) registry, we included 22,862 admissions between 2017 and 2022 from 35 primarily tertiary and quaternary CICUs that captured consecutive admissions in annual 2-month snapshots. The primary analysis compared inter-hospital differences in CICU LOS, as well as the association between CICU LOS and all-cause in-hospital mortality using a Fine and Gray competing risk model. RESULTS: The overall median CICU LOS was 2.2 (1.1-4.8) days, and the median hospital LOS was 5.9 (2.8-12.3) days. Admissions in the longest tertile of LOS tended to be younger with higher rates of pre-existing comorbidities, and had higher Sequential Organ Failure Assessment (SOFA) scores, as well as higher rates of mechanical ventilation, intravenous vasopressor use, mechanical circulatory support, and renal replacement therapy. Unadjusted all-cause in-hospital mortality was 9.3%, 6.7%, and 13.4% in the lowest, intermediate, and highest CICU LOS tertiles. In a competing risk analysis, individual patient CICU LOS was correlated (r2 = 0.31) with a higher risk of 30-day in-hospital mortality. The relationship remained significant in admissions with heart failure, ST-elevation myocardial infarction and non-ST segment elevation myocardial infarction. CONCLUSIONS: In a large registry of academic CICUs, we observed significant variation in CICU LOS and report that LOS is independently associated with all-cause in-hospital mortality. These findings could potentially be used to improve CICU resource utilization planning and refine risk prognostication in critically ill cardiovascular patients.

Early Mobilization Using a Mobile Patient Lift in the ICU: A Randomized Controlled Trial.

OBJECTIVES: To ascertain whether a mobile patient lift facilitates early mobilization in ventilated ICU patients. DESIGN: A single-center, open-label, randomized controlled trial. SETTING: An academic ICU in Tokyo. PATIENTS: Eighty patients were admitted to ICU and expected ventilation for at least 48 hours. INTERVENTIONS: In the intervention group, in addition to the rehabilitation protocol received by the control group, patients were assisted in sitting, standing, transfers, and walking using the mobile patient lift. MEASUREMENTS AND MAIN RESULTS: The intervention group predominantly stood faster than the control group (1.0 vs. 3.0 d, p < 0.01). The Intervention group also had significantly higher Functional Status Score-ICU scores at ICU discharge. However, the Medical Research Council score and Barthel index at discharge, length of ICU stay, and number of ventilator-free days did not differ between the two groups. CONCLUSIONS: The use of mobile patient lifts facilitates the earlier standing of patients on ventilators. This may contribute to patients improved physical function in the ICU. TRIAL REGISTRATION: The study protocol was registered with the University Hospital Medical Information Network (UMIN) under the registration number UMIN000044965. Registered July 30, 2021.

Factors Affecting Mortality in Critically Ill Patients With Tuberculosis: A Systematic Review and Meta-Analysis.

OBJECTIVES: Critically ill patients with tuberculosis carry high mortality. Identification of factors associated with mortality in critically ill tuberculosis patients may enable focused treatment. DATA SOURCES: An extensive literature search of PubMed (MEDLINE), Embase, the Cochrane Library, and Google Scholar was performed using Medical Subject Headings terms "tuberculosis," "critical care," "critical care outcome," and "ICU." We aimed to identify factors affecting mortality in critically ill tuberculosis patients. STUDY SELECTION: All the studies comparing factors affecting mortality between survivors and nonsurvivors in critically ill tuberculosis patients were included. The database search yielded a total of 3017 records, of which 17 studies were included in the meta-analysis. DATA EXTRACTION: Data were collected including the name of the author, year and country of publication, duration of the study, number of patients studied, type of tuberculosis, patient demography, smoking history, laboratory parameters, comorbidities, the requirement for mechanical ventilation, duration of ventilation, ICU and hospital length of stay (LOS), type of lung involvement, complications, and outcomes. DATA SYNTHESIS: The major factors that contributed to mortality in critically ill tuberculosis patients were age, platelet count, albumin, C-reactive protein (CRP), the requirement and duration of invasive mechanical ventilation, Pa o2 /F io2 ratio, presence of acute respiratory distress syndrome, shock, hospital-acquired infections, renal replacement therapy, and ICU and hospital LOS. CONCLUSIONS: Patient age, platelet count, albumin and CRP levels, the requirement and duration of invasive mechanical ventilation, Pa o2 /F io2 ratio, hospital-acquired infections, renal replacement therapy, and ICU LOS were variables associated with mortality.

Clinical Impact of the Implementation Strategies Used to Apply the 2013 Pain, Agitation/Sedation, Delirium or 2018 Pain, Agitation/Sedation, Delirium, Immobility, Sleep Disruption Guideline Recommendations: A Systematic Review and Meta-Analysis.

OBJECTIVES: To summarize the effectiveness of implementation strategies for ICU execution of recommendations from the 2013 Pain, Agitation/Sedation, Delirium (PAD) or 2018 PAD, Immobility, Sleep Disruption (PADIS) guidelines. DATA SOURCES: PubMed, CINAHL, Scopus, and Web of Science were searched from January 2012 to August 2023. The protocol was registered with PROSPERO (CRD42020175268). STUDY SELECTION: Articles were included if: 1) design was randomized or cohort, 2) adult population evaluated, 3) employed recommendations from greater than or equal to two PAD/PADIS domains, and 4) evaluated greater than or equal to 1 of the following outcome(s): short-term mortality, delirium occurrence, mechanical ventilation (MV) duration, or ICU length of stay (LOS). DATA EXTRACTION: Two authors independently reviewed articles for eligibility, number of PAD/PADIS domains, quality according to National Heart, Lung, and Blood Institute assessment tools, implementation strategy use (including Assess, prevent, and manage pain; Both SAT and SBT; Choice of analgesia and sedation; Delirium: assess, prevent, and manage; Early mobility and exercise; Family engagement and empowerment [ABCDEF] bundle) by Cochrane Effective Practice and Organization of Care (EPOC) category, and clinical outcomes. Certainty of evidence was assessed using Grading of Recommendations Assessment, Development, and Evaluation. DATA SYNTHESIS: Among the 25 of 243 (10.3%) full-text articles included ( n = 23,215 patients), risk of bias was high in 13 (52%). Most studies were cohort ( n = 22, 88%). A median of 5 (interquartile range [IQR] 4-7) EPOC strategies were used to implement recommendations from two (IQR 2-3) PAD/PADIS domains. Cohort and randomized studies were pooled separately. In the cohort studies, use of EPOC strategies was not associated with a change in mortality (risk ratio [RR] 1.01; 95% CI, 0.9-1.12), or delirium (RR 0.92; 95% CI, 0.82-1.03), but was associated with a reduction in MV duration (weighted mean difference [WMD] -0.84 d; 95% CI, -1.25 to -0.43) and ICU LOS (WMD -0.77 d; 95% CI, -1.51 to 0.04). For randomized studies, EPOC strategy use was associated with reduced mortality and MV duration but not delirium or ICU LOS. CONCLUSIONS: Using multiple implementation strategies to adopt PAD/PADIS guideline recommendations may reduce mortality, duration of MV, and ICU LOS. Further prospective, controlled studies are needed to identify the most effective strategies to implement PAD/PADIS recommendations.

Beyond Unplanned ICU Transfers: Linking a Revised Definition of Deterioration to Patient Outcomes.

OBJECTIVES: To develop an electronic descriptor of clinical deterioration for hospitalized patients that predicts short-term mortality and identifies patient deterioration earlier than current standard definitions. DESIGN: A retrospective study using exploratory record review, quantitative analysis, and regression analyses. SETTING: Twelve-hospital community-academic health system. PATIENTS: All adult patients with an acute hospital encounter between January 1, 2018, and December 31, 2022. INTERVENTIONS: Not applicable. MEASUREMENTS AND MAIN RESULTS: Clinical trigger events were selected and used to create a revised electronic definition of deterioration, encompassing signals of respiratory failure, bleeding, and hypotension occurring in proximity to ICU transfer. Patients meeting the revised definition were 12.5 times more likely to die within 7 days (adjusted odds ratio 12.5; 95% CI, 8.9-17.4) and had a 95.3% longer length of stay (95% CI, 88.6-102.3%) compared with those who were transferred to the ICU or died regardless of meeting the revised definition. Among the 1812 patients who met the revised definition of deterioration before ICU transfer (52.4%), the median detection time was 157.0 min earlier (interquartile range 64.0-363.5 min). CONCLUSIONS: The revised definition of deterioration establishes an electronic descriptor of clinical deterioration that is strongly associated with short-term mortality and length of stay and identifies deterioration over 2.5 hours earlier than ICU transfer. Incorporating the revised definition of deterioration into the training and validation of early warning system algorithms may enhance their timeliness and clinical accuracy.

Evolution of Clinical Characteristics and Outcomes of Critically Ill Patients 90 Years Old or Older Over a 12-Year Period: A Retrospective Cohort Study.

OBJECTIVES: The global population is aging, and the proportion of very elderly patients 90 years old or older in the ICU is expected to increase. The changes in the comorbidities and outcomes of very elderly patients hospitalized in the ICU that have occurred over time are unknown. DESIGN: Retrospective observational cohort study. SETTING: ICUs at a single academic hospital in Germany. PATIENTS: Ninety years old or older and admitted to the ICU between January 1, 2008, and April 30, 2019. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Of the 92,958 critically ill patients, 1,108 were 90 years old or older. The study period was divided into two halves: January 1, 2008-August 30, 2013, and September 1, 2013-April 30, 2019. The number of patients 90 years old or older increased from the first period ( n = 391; 0.90% of total admissions) to the second period ( n = 717; 1.44%). The patients' demographic characteristics were similar between the both time periods. The median Charlson Comorbidity Index was higher during the first period (1 [interquartile range, 1-3]) than compared with the second time period (1 [0-2]; p = 0.052). The Simplified Acute Physiology Score (SAPS) II was higher during the first time period (38 [29-49]) than during the second period (35 [27-45]; p = 0.005). Vasopressor therapy was necessary in 40% ( n = 158) and 43% ( n = 310) of patients in each time period, respectively ( p = 0.363). Invasive mechanical ventilation was administered in 37% ( n = 146) and 34% ( n = 243) of patients in each time period, respectively ( p = 0.250). The median length of the ICU stay was significantly lower in the first time period than in the second time period (1.4 vs. 1.7 d; p = 0.002). The ICU (18% vs. 18%; p = 0.861) and hospital (31% vs. 29%; p = 0.395) mortality rates were comparable between the two groups. The 1-year mortality was significantly lower during the second time period than during the first time period (61% vs. 56%; p = 0.029). Cox regression analysis revealed that the SAPS II, medical cause of admission, mechanical ventilation requirement, and vasopressor use were associated with 1-year mortality. CONCLUSIONS: The number of patients 90 years old or older who were treated in the ICU has increased in recent years. While the patients' clinical characteristics and short-term outcomes have not changed significantly, the long-term mortality of these patients has improved in recent years.

Utilization and Outcomes in U.S. ICU Hospitalizations.

OBJECTIVES: Despite its importance, detailed national estimates of ICU utilization and outcomes remain lacking. We aimed to characterize trends in ICU utilization and outcomes over a recent 12-year period in the United States. DESIGN/SETTING: In this longitudinal study, we examined hospitalizations involving ICU care ("ICU hospitalizations") alongside hospitalizations not involving ICU care ("non-ICU hospitalizations") among traditional Medicare beneficiaries using 100% Medicare part A claims data and commercial claims data for the under 65 adult population from 2008 to 2019. PATIENTS/INTERVENTIONS: There were 18,313,637 ICU hospitalizations and 78,501,532 non-ICU hospitalizations in Medicare, and 1,989,222 ICU hospitalizations and 16,732,960 non-ICU hospitalizations in the commercially insured population. MEASUREMENTS AND MAIN RESULTS: From 2008 to 2019, about 20% of Medicare hospitalizations and 10% of commercial hospitalizations involved ICU care. Among these ICU hospitalizations, length of stay and ICU length of stay decreased on average. Mortality and hospital readmissions on average also decreased, and they decreased more among ICU hospitalizations than among non-ICU hospitalizations, for both Medicare and commercially insured patients. Both Medicare and commercial populations experienced a growth in shorter ICU hospitalizations (between 2 and 7 d in length), which were characterized by shorter ICU stays and lower mortality. Among these short hospitalizations in the Medicare population, for common clinical diagnoses cared for in both ICU and non-ICU settings, patients were increasingly triaged into an ICU during the study period, despite being younger and having shorter hospital stays. CONCLUSIONS: ICUs are used in a sizeable share of hospitalizations. From 2008 to 2019, ICU length of stay and mortality have declined, while short ICU hospitalizations have increased. In particular, for clinical conditions often managed both within and outside of an ICU, shorter ICU hospitalizations involving younger patients have increased. Our findings motivate opportunities to better understand ICU utilization and to improve the value of ICU care for patients and payers.

Two Weeks Versus One Week of Maximal Patient-Intensivist Continuity for Adult Medical Intensive Care Patients: A Two-Center Target Trial Emulation.

OBJECTIVES: To compare outcomes for 2 weeks vs. 1 week of maximal patient-intensivist continuity in the ICU. DESIGN: Retrospective cohort study. SETTING: Two U.S. urban, teaching, medical ICUs where intensivists were scheduled for 2-week service blocks: site A was in the Midwest and site B was in the Northeast. PATIENTS: Patients 18 years old or older admitted to a study ICU between March 1, 2017, and February 28, 2020. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: We applied target trial emulation to compare admission during an intensivist's first week (as a proxy for 2 wk of maximal continuity) vs. admission during their second week (as a proxy for 1 wk of maximal continuity). Outcomes included hospital mortality, ICU length of stay, and, for mechanically ventilated patients, duration of ventilation. Exploratory outcomes included imaging, echocardiogram, and consultation orders. We used inverse probability weighting to adjust for baseline differences and random-effects meta-analysis to calculate overall effect estimates. Among 2571 patients, 1254 were admitted during an intensivist's first week and 1317 were admitted during a second week. At sites A and B, hospital mortality rates were 25.8% and 24.2%, median ICU length of stay were 4 and 2 days, and median mechanical ventilation durations were 3 and 3 days, respectively. There were no differences in adjusted mortality (odds ratio [OR], 1.01 [95% CI, 0.96-1.06]) or ICU length of stay (-0.25 d [-0.82 d to +0.32 d]) for 2 weeks vs. 1 week of maximal continuity. Among mechanically ventilated patients, there were no differences in adjusted mortality (OR, 1.00 [0.87-1.16]), ICU length of stay (+0.06 d [-0.78 d to +0.91 d]), or duration of mechanical ventilation (+0.37 d [-0.46 d to +1.21 d]) for 2 weeks vs. 1 week of maximal continuity. CONCLUSIONS: Two weeks of maximal patient-intensivist continuity was not associated with differences in clinical outcomes compared with 1 week in two medical ICUs.

Sleep and Circadian Health of Critical Survivors: A 12-Month Follow-Up Study.

OBJECTIVES: To investigate the sleep and circadian health of critical survivors 12 months after hospital discharge and to evaluate a possible effect of the severity of the disease within this context. DESIGN: Observational, prospective study. SETTING: Single-center study. PATIENTS: Two hundred sixty patients admitted to the ICU due to severe acute respiratory syndrome coronavirus 2 infection. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: The cohort was composed of 260 patients (69.2% males), with a median (quartile 1-quartile 3) age of 61.5 years (52.0-67.0 yr). The median length of ICU stay was 11.0 days (6.00-21.8 d), where 56.2% of the patients required invasive mechanical ventilation (IMV). The Pittsburgh Sleep Quality Index (PSQI) revealed that 43.1% of the cohort presented poor sleep quality 12 months after hospital discharge. Actigraphy data indicated an influence of the disease severity on the fragmentation of the circadian rest-activity rhythm at the 3- and 6-month follow-ups, which was no longer significant in the long term. Still, the length of the ICU stay and the duration of IMV predicted a higher fragmentation of the rhythm at the 12-month follow-up with effect sizes (95% CI) of 0.248 (0.078-0.418) and 0.182 (0.005-0.359), respectively. Relevant associations between the PSQI and the Hospital Anxiety and Depression Scale (rho = 0.55, anxiety; rho = 0.5, depression) as well as between the fragmentation of the rhythm and the diffusing lung capacity for carbon monoxide (rho = -0.35) were observed at this time point. CONCLUSIONS: Our findings reveal a great prevalence of critical survivors presenting poor sleep quality 12 months after hospital discharge. Actigraphy data indicated the persistence of circadian alterations and a possible impact of the disease severity on the fragmentation of the circadian rest-activity rhythm, which was attenuated at the 12-month follow-up. This altogether highlights the relevance of considering the sleep and circadian health of critical survivors in the long term.

Identifying drivers of cost in pediatric liver transplantation.

Understanding the economics of pediatric liver transplantation (LT) is central to high-value care initiatives. We examined cost and resource utilization in pediatric LT nationally to identify drivers of cost and hospital factors associated with greater total cost of care. We reviewed 3295 children (<21 y) receiving an LT from 2010 to 2020 in the Pediatric Health Information System to study cost, both per LT and service line, and associated mortality, complications, and resource utilization. To facilitate comparisons, patients were stratified into high-cost, intermediate-cost, or low-cost tertiles based on LT cost. The median cost per LT was $150,836 [IQR $104,481-$250,129], with marked variance in cost within and between hospital tertiles. High-cost hospitals (HCHs) cared for more patients with the highest severity of illness and mortality risk levels (67% and 29%, respectively), compared to intermediate-cost (60%, 21%; p <0.001) and low-cost (51%, 16%; p <0.001) hospitals. Patients at HCHs experienced a higher prevalence of mechanical ventilation, total parental nutrition use, renal comorbidities, and surgical complications than other tertiles. Clinical (27.5%), laboratory (15.1%), and pharmacy (11.9%) service lines contributed most to the total cost. Renal comorbidities ($69,563) and total parental nutrition use ($33,192) were large, independent contributors to total cost, irrespective of the cost tertile ( p <0.001). There exists a significant variation in pediatric LT cost, with HCHs caring for more patients with higher illness acuity and resource needs. Studies are needed to examine drivers of cost and associated outcomes more granularly, with the goal of defining value and standardizing care. Such efforts may uniquely benefit the sicker patients requiring the strategic resources located within HCHs to achieve the best outcomes.

The Landscape of Resource Utilization After Resuscitation of 22-, 23-, and 24-Weeks' Gestation Infants.

OBJECTIVE: To compare estimated healthcare resources needed to care for 22 through 24 weeks' gestation infants. STUDY DESIGN: This multicenter, retrospective cohort study included 1505 live in-born and out-born infants 22 through 24 weeks' gestational age at delivery from 6 pediatric tertiary care hospitals from 2011 through 2020. Median neonatal intensive care unit (NICU) length of stay (LOS) for each gestational age was used as a proxy for hospital resource utilization, and the number of comorbidities and medical technology use for each infant were used as estimates of future medical care needs. Data were analyzed using Kruskal-Wallis with Nemenyi's posthoc test and Fisher's exact test. RESULTS: Of the identified newborns, 22-week infants had shorter median LOS than their 23- and 24-week counterparts due to low survival rates. There was no significant difference in LOS for surviving 22-week infants compared with surviving 23-week infants. Surviving 22-week infants had similar proportions of comorbidities and medical technology use as 23-week infants. CONCLUSIONS: Compared with 23- and 24-week infants, 22-week infants did not use a disproportionate amount of hospital resources. Twenty-two-week infants should not be excluded from resuscitation based on concern for increased hospital care and medical technology requirements. As overall resuscitation efforts and survival rates increase for 22-week infants, future research will be needed to assess the evolution of these results.

Associations between Child Opportunity Index and Pediatric Cardiac Surgical Outcomes.

OBJECTIVE: To assess the relationship between the Child Opportunity Index (COI), a comprehensive measurement of social determinants of health, and specific COI domains on patient-specific outcomes following congenital cardiac surgery in the metropolitan region of Atlanta, Georgia. STUDY DESIGN: In this retrospective chart review, we included patients who underwent an index operation for congenital heart disease between 2010 and 2020 in a single pediatric health care system. Patients' addresses were geocoded and mapped to census tracts. Descriptive statistics, univariable analysis, and multivariable regression models were employed to assess associations between variables and outcomes. RESULTS: Of the 7460 index surgeries, 3798 (51%) met eligibility criteria. Presence of an adverse outcome, defined as either mortality or 1 of several other major postoperative morbidities, was significantly associated with COI in the univariable model (P = .008), but not the multivariable regression model (P = .39). Postoperative hospital length of stay was significantly associated with COI (P < .001) in univariable and multivariable regression models. There was no significant association between COI and readmission within 30 days of hospital discharge in univariable (P < .094) and multivariable (P = .49) models. CONCLUSION: COI is associated with postoperative hospital length of stay but not all outcomes in patients after congenital heart surgery. By understanding the role of COI in outcomes related to cardiac surgery, targeted interventions can be developed to improve health equity.