Unplanned Intensive Care Unit Research Articles

The Optimized Use of a Contact-Free Continuous Monitoring System on Clinical Outcomes During COVID-19.

The purpose of this study was to examine the impact of a contact-free continuous monitoring system on clinical outcomes including unplanned intensive care unit (ICU) transfer (primary), length of stay (LOS), code blue, and mortality. A secondary aim was to evaluate the return on investment associated with implementing the contact-free continuous monitoring program during the COVID public health emergency. An interrupted time series evaluation was conducted to examine the association between the use of contact-free continuous monitoring and clinical outcomes. A cost-benefit analysis was planned to evaluate the return on investment. Use of contact-free continuous monitoring was not significantly associated with unplanned ICU transfers, deaths, ICU LOS, and or rapid response team calls. However, there were significant increases in code blue events (P = 0.02) and mean hospital LOS (P = 0.01) in the postimplementation period when compared with the preimplementation period. Due to the lack of improvement, costs were calculated but a cost-benefit analysis was not conducted. Contact-free continuous monitoring bed use during the COVID-19 public health emergency was not associated with improvements in clinical outcomes, although there was substantial confounding. Future studies should include large randomized controlled trials to control for factors not under direct experimental control including unit staffing, staff turnover, and differences in the patient population related to surges in the COVID-19 pandemic.

Predicting Unplanned Trauma ICU Admissions for Initial Nonoperative, Non-ICU Patients.

Unplanned intensive care unit (ICU) admissions are associated with increased morbidity and mortality. This study uses interpretable machine learning to predict unplanned ICU admissions for initial nonoperative trauma patients admitted to non-ICU locations. TQIP (2020-2021) was queried for initial nonoperative adult patients admitted to non-ICU locations. Univariable analysis compared patients who required an unplanned ICU admission to those who did not. Using variables that could be known at hospital admission, gradient boosting machines (CatBoost, LightGBM, XGBoost) were trained on 2021 data and tested on 2020 data. SHapley Additive exPlanations (SHAP) were used for interpretation. The cohort had 1,107,822 patients; 1.6% had an unplanned ICU admission. Unplanned ICU admissions were older (71 [58-80] vs. 61 [39-76] years, p < 0.01), had a higher Injury Severity Score (ISS) (9 [8-13] vs. 9 [4-10], p < 0.01), longer length of stay (11 [7-17] vs. 4 [3-6] days, p < 0.01), higher rates of all complications and most comorbidities and injuries (p < 0.05). All models had an AUC of 0.78 and an F1 score of 0.12, indicating poor performance in predicting the minority class. Mean absolute SHAP values revealed ISS (0.46), age (0.29), and absence of comorbidities (0.16) as most influential in predictions. Dependency plots showed greater SHAP values for greater ISS, age, and presence of comorbidities. Machine learning may outperform prior attempts at predicting the risk of unplanned ICU admissions in trauma patients while identifying unique predictors. Despite this progress, further research is needed to improve predictive performance by addressing class imbalance limitations.

Exploring the Association Between Surgical Out-of-Pocket Costs and Healthcare Quality Outcomes: A Retrospective Cohort Study

ObjectivesRising out-of-pocket (OOP) costs paid by healthcare consumers can inhibit access to necessary healthcare. Yet, it is unclear if higher OOP payments are associated with better care quality. This study aimed to identify the individual and socio-contextual predictors of OOP costs and to explore the association between OOP costs and quality of care outcomes for 4 surgical procedures. MethodsA retrospective cohort analysis was conducted using data from Medibank Private health insurance members aged ≥18 years who underwent hip replacement, knee replacement, cholecystectomy, and radical prostatectomy during 2015 to 2020 across >300 hospitals in Australia. Healthcare quality outcomes investigated were hospital-acquired complications, unplanned intensive care unit admissions, prolonged length of stay, and readmissions within 28 days. Socio-contextual determinants of OOP costs examined were patient demographics, socioeconomic status, health insurance, and procedure complexity. Generalized linear mixed modeling examined the risk of each outcome, adjusting for covariates and considering patient clustering within surgeons and hospitals. ResultsPatients were more likely to pay OOP costs if they were aged 65 to 74 years compared with aged 18 to 44 years for all 4 surgical procedures. No association between OOP payments and the risk of hospital-acquired complications, intensive care unit admission, or hospital readmission was identified. Patients who paid OOP costs were less likely to have a prolonged length of stay for all 4 procedure types. ConclusionsHigher OOP payments were not linked to improved care quality except for shorter hospital stays. Greater transparency on OOP costs is needed to inform consumer decisions.

Anastomotic leak after manual circular stapled left-sided bowel surgery: analysis of technology-, disease-, and patient-related factors.

Anastomotic leak rates after colorectal surgery remain high. In most left-sided colon and rectal resection surgeries, a circular stapler is utilized to create the primary bowel anastomosis. However, it remains unclear whether a relationship between circular stapler technology and anastomotic leak in left-sided colorectal surgery exists. A post-hoc analysis was conducted using a prospectively collected data set of patients from the 2017 European Society of Coloproctology snapshot audit who underwent elective left-sided resection (left hemicolectomy, sigmoid colectomy, or rectal resection) with a manual circular stapled anastomosis. Rates of anastomotic leak and unplanned intensive care unit stay in association with manual circular stapling were assessed. Patient-, disease-, geographical-, and surgeon-related factors as well as stapler brand were explored using multivariable regression models to identify predictors of adverse outcomes. Across 3305 procedures, 8.0% of patients had an anastomotic leak and 2.1% had an unplanned intensive care unit stay. Independent predictors of anastomotic leak were male sex, minimal-access surgery converted to open surgery, and anastomosis height C11 (lower third rectum) (all P < 0.050). Independent predictors of unplanned intensive care unit stay were minimal-access surgery converted to open surgery and American Society of Anesthesiologists grade IV (all P < 0.050). Stapler device brand was not a predictor of anastomotic leak or unplanned intensive care unit stay in multivariable regression analysis. There were no differences in rates of anastomotic leak and unplanned intensive care unit stay according to stapler head diameter, geographical region, or surgeon experience. In patients undergoing left-sided bowel anastomosis, choice of manual circular stapler, in terms of manufacturer or head diameter, is not associated with rates of anastomotic leak and unplanned intensive care unit stay.

Geriatric Trauma Intensive Care Unit Admission Guideline Is Associated With Reduction in Unplanned Intensive Care Unit Admissions

IntroductionGeriatric trauma patients experience disproportionate adverse outcomes compared to younger patients with similar injuries and represent an important target for quality improvement. Our institution created a Geriatric Trauma Intensive Care Unit (ICU) Admission Guideline to identify high-risk patients and elevate their initial level of care. The goal of implementation was reducing unplanned ICU admissions (UIAs), a recognized surrogate marker for adverse outcomes. MethodsThe Geriatric Trauma ICU Admission Guideline was implemented on July 1, 2020, at a large academic level-1 trauma center. Using trauma registry data, we retrospectively analyzed geriatric patients who met the criteria for ICU admission 2 y preimplementation and postimplementation. The main outcome was UIAs in the target geriatric population. Secondary outcomes included hospital length of stay, ICU length of stay, ventilator days, mortality, and 30-d readmissions. Characteristics between groups were compared with t-test, Mann-Whitney U test, or chi-square test. Risk-adjusted logistic and negative binomial regressions were used for the categorical and continuous outcomes, respectively. ResultsA total of 1075 patients were identified with 476 in the preimplementation and 599 in the postimplementation group. The groups were similar across most demographic and physiologic characteristics, with the exception of a higher incidence of hypertension in the preimplementation group (77.7% versus 71.6%, P = 0.02) and COVID in the postimplementation group (3.8% versus 0.4%, P < 0.001). While mechanism of injury was similar, there was a higher incidence of traumatic brain injury in the preimplementation group (35.1% versus 26.2%, P = 0.002). In the postimplementation group, there was a higher incidence ≥3 rib fractures (68% versus 61.3%, P = 0.02) and an expected increase in initial ICU level of care (69.5% versus 37.1%, P < 0.001). The odds of a UIA after guideline implementation were reduced by half (adjusted odds ratio 0.52, 95% confidence interval 0.3-0.92). There was not a significant difference in the secondary outcomes of mortality, 30-d readmission, hospital-free days, ICU-free days, or ventilator-free days. ConclusionsImplementation of the Geriatric Trauma ICU Admission Guideline was associated with a reduction in UIAs by half in the target population. There was not a significant change in hospital-free days, ICU-free days, ventilator-free days, mortality, 30-d readmission, or venous thromboembolism. Further research is needed to better refine admission guidelines, examine the association of preventative admission on delirium, and determination of criteria that would allow safe, earlier downgrade.

Outcomes After Implementation of a Fragility Fracture Pathway in Ground Level Falls

IntroductionFragility fractures occur due to low energy mechanisms and result in significant morbidity and mortality. This study reviews the implementation of a fragility fracture program at a level I trauma center. In this pathway, trauma surgery provides clearance followed by admission and management with medical service and orthopedic consultation for injuries which meet fragility fracture criteria. MethodsThis pathway, implemented in July 2021, includes patients with isolated fractures secondary to a low energy mechanism. We compared cohorts 2-ys before (PRE) and after (POS) pathway implementation. Demographics (age, sex, fracture location, injury severity score, American Society of Anesthesiologists score) and outcome data were collected and analyzed using between-subjects analyses. Measured outcomes included deep vein thrombosis/pulmonary embolism, hospital mortality, disposition to hospice, nonoperative rate, unplanned intensive care unit admission, time to surgery (TTS), and length of stay (LOS). ResultsThe study included n = 1137 patients (n = 564 PRE and n = 573 POS). POS patients had a higher injury severity score (P = 0.003) and different fracture location (P = 0.017), but no other demographics were different. Trauma admission decreased after implementation (P < 0.001; PRE: 21.5%, POS: 1.8%) with no differences in outcomes except increases in LOS (P < 0.001; PRE: 114 h, POS: 124 h) and TTS (P < 0.001; PRE: 15 h, POS: 18 h). ConclusionsMorbidity and mortality did not correlate with pathway implementation; however, TTS and LOS increased. Although TTS increased, it remained under the American Academy of Orthopedic Surgery 48-h recommendation. The TTS and LOS increases were potentially from COVID-19 or cohort demographic differences. Decreased trauma as admitting service demonstrates pathway adherence. These findings highlight the need for investigation to better understand fragility fracture pathways.

P21. Nomogram to predict unplanned intensive care unit admission following adult spinal deformity

P21. Nomogram to predict unplanned intensive care unit admission following adult spinal deformity

Effectiveness of Rapid Response Team implementation in a tertiary hospital in Egypt: an interventional study

BackgroundRapid response teams (RRTs) help in the early recognition of deteriorating patients in hospital wards and provide the needed management at the bedside by a qualified team. RRT implementation is...

Sugammadex use in pediatric patients with stage IV-V chronic kidney disease in a quaternary referral hospital: a case series

BackgroundSugammadex is a pharmacologic agent that provides rapid reversal of neuromuscular blockade via encapsulation of the neuromuscular blocking agent (NMBA). The sugammadex-NMBA complex is primarily cleared through glomerular filtration from the kidney, raising the possibility that alterations in renal function could affect its elimination. In pediatric patients, the benefits of sugammadex have led to widespread utilization; however, there is limited information on its application in pediatric renal impairment. This study examined sugammadex use and postoperative outcomes in pediatric patients with severe chronic renal impairment at our quaternary pediatric referral hospital.MethodsAfter IRB approval, we performed a retrospective analysis in pediatric patients with stage IV and V chronic kidney disease who received sugammadex from January 2017 to March 2022. Postoperative outcomes studied included new or increased respiratory requirement, unplanned intensive care unit (ICU) admission, postoperative pneumonia, anaphylaxis, and death within 48 h postoperatively, unplanned deferral of intraoperative extubation, and repeat administrations of NMBA reversal after leaving the operating room.ResultsThe final cohort included 17 patients ranging from 8 months to 16 years old. One patient required new postoperative noninvasive ventilation on postoperative day 2, which was credited to hypervolemia. Another patient had bronchospasm intraoperatively resolving with medication, which could not definitively be associated sugammadex administration. There were no instances of deferred extubation, unplanned ICU or need for supplemental oxygen after tracheal extubation identified.ConclusionNo adverse effects directly attributable to sugammadex in pediatric patients with severe renal impairment were detected. There may be a role for utilization of sugammadex for neuromuscular reversal in this population.

An economic evaluation of the Prioritising Responses Of Nurses To deteriorating patient Observations (PRONTO) clinical trial

BackgroundEarly recognition and response to clinical deterioration reduce the frequency of in-hospital cardiac arrests, mortality, and unplanned intensive care unit (ICU) admissions. This study aimed to investigate the impact of the Prioritising Responses Of Nurses To deteriorating patient Observations (PRONTO) intervention on hospital costs and patient length of stay (LOS). MethodThe PRONTO cluster randomised control trial was conducted to improve nurses’ responses to patients with abnormal vital signs. Hospital data were collected pre-intervention (T0) at 6 months (T1) and 12 months (T2) post-intervention. The economic evaluation involved a cost-consequence analysis from the hospital’s perspective. Generalised estimating equations were used to estimate the parameters for regression models of the difference in costs and LOS between study groups and time points. ResultsHospital admission data for 6065 patients (intervention group, 3102; control group, 2963) were collected from four hospitals for T0, T1 and T2. The intervention cost was 69.61 A$ per admitted patient, including the additional intervention training for nurses and associated labour costs. The results showed cost savings and a shorter LOS in the intervention group between T0 − T1 and T0 − T2 (cost differences T0 − T1: −364 (95% CI −3,782; 3049) A$ and T0 − T2: −1,710 (95% CI −5,162; 1,742) A$; and LOS differences T0 − T1: −1.10 (95% CI −2.44; 0.24) days and T0 & T2: −2.18 (95% CI −3.53; −0.82) days). ConclusionThe results of the economic analysis demonstrated that the PRONTO intervention improved nurses’ responses to patients with abnormal vital signs and significantly reduced hospital LOS by two days at 12 months in the intervention group compared to baseline. From the hospital’s perspective, savings from reduced hospitalisations offset the costs of implementing PRONTO.

Evaluating the incidence, risk factors and postoperative complications associated with leaks following duodenal switch procedures: an analysis of the MBSAQIP

BackgroundMetabolic and Bariatric Surgery (MBS) is the most effective management for patients with obesity and weight-related medical conditions. Duodenal switch (DS) is a recent MBS procedure with increasing attention in recent years, however the risk of anastomotic or staple line leaks and the lack of efficient surgical expertise hinders the procedure from becoming fully adopted. ObjectivesTo determine the 30-day predictors of leaks following DS and explore their association with other 30-day postoperative complications. SettingMetabolic and Bariatric Surgery Accreditation and Quality Improvement Program database. MethodsPatients who underwent a primary biliopancreatic diversion with DS or single-anastomosis duodenoileostomy with sleeve procedure, categorized as DS, were assessed for 30-day leaks. A multivariable logistic regression was constructed to identify the predictors of leaks. The assessment of postoperative complications arising from leaks was also performed. ResultsA total of 21,839 DS patients were included, of which 177 (.8%) experienced leaks within 30 postoperative days. The most significant predictor of leaks was steroid immunosuppressive use (adjusted odds ratio [aOR] = 3.01, 95% confidence interval [CI] [1.56–5.13], P < .001) and age, with each decade of life associated with a 26% increase in risk (aOR = 1.26, 95% CI [1.09–1.45], P = .001). Operative length was also associated with leaks, with every additional 30 minutes increasing the odds of a leak by 23% (aOR = 1.23, 95% CI [1.18–1.29], P < .001). The occurrence of leaks was correlated with postoperative septic shock (Crude Odds Ratio [COR] = 280.99 [152.60–517.39]) and unplanned intensive care unit (ICU) admissions (COR = 79.04 [56.99–109.59]). Additionally, mortality rates increased 17-fold with the incidence of leaks (COR = 17.64 [7.41–41.99]). ConclusionsLeaks following DS are a serious postoperative complication with significant risk factors of steroid use, prolonged operative time and advanced age. Leaks are also associated with other severe complications, highlighting the need for early diagnosis and intervention along with additional studies to further validate our results.

Morbidity and Mortality of Trauma Patients 55 and Older: A Study of Nontrauma Risk Factors.

Introduction: The American College of Surgeons (ACS) recommends that special considerations be made during triage of trauma patients aged ≥55 due to an observed increase in morbidity and mortality in this population. The geriatric population aged ≥65 represents 30% of all trauma patients. Our objective was to assess which pre-existing conditions (PECs) are associated with worse outcomes in trauma patients aged ≥55. Methods: Study population was selected from the local trauma registry (2020-22). Bi-variate analysis compared PEC status with outcomes controlling for each Injury Severity Score (ISS) category. Injury Severity Score was defined as mild (1-8), moderate (9-15), severe (16-24), and critical (≥25). Results: A total of 5,168 patients were identified (54.9% female, 56.7% age ≥75, 49.1% mild injury). Patients who had chronic renal failure (CRF) were at increased odds of mortality after adjusting for mild (adjusted odds ratio [aOR]: 2.63), moderate (aOR: 2.97), severe (aOR: 2.84), and critical (aOR: 2.62) injuries. Patients who had cirrhosis or congestive heart failure (CHF) were at increased odds of mortality after adjusting for mild (aOR: 3.03, 1.61), moderate (aOR: 3.63, 2.14), and severe (aOR: 3.46, 1.93) injuries, respectively. In addition, there was a relationship between having chronic obstructive pulmonary disease (COPD), dementia, anticoagulant therapy, or diabetes with unplanned intensive care unit (ICU) admission and development of acute kidney injury (AKI). Discussion: There is an association between certain pre-exiting conditions and worse outcomes. Early identification of these factors could provide a foundation for better interdisciplinary management, prevention of complications and associated mortality.

Preoperative nutritional status and postoperative health outcomes in older adults undergoing spine surgery: Electronic health records analysis

AimTo examine whether a high nutritional risk status, assessed via the Geriatric Nutritional Risk Index (GNRI), is independently associated with postoperative health outcomes, including unplanned intensive care unit (ICU) admissions, infectious complications, and prolonged length of stay in older patients undergoing spine surgery. MethodsWe conducted a retrospective descriptive study analyzing electronic health records from a tertiary hospital, including data from 1,014 patients aged ≥70 undergoing elective spine surgery between February 2013 and March 2023. ResultsHigh nutritional risk patients had significantly higher odds of unplanned ICU admission, infectious complications, and prolonged length of stay compared to low-risk patients. For each one-point increase in GNRI, there was a significant 0.91- and 0.95-fold decrease in the odds of unplanned ICU admission and infectious complications, respectively. ConclusionGNRI screening in older patients before spine surgery may have potential to identify those at elevated risk for postoperative adverse outcomes.

Early dynamic changes to monocytes following major surgery are associated with subsequent infections.

Post-operative infections are a common cause of morbidity following major surgery. Little is understood about how major surgery perturbs immune function leading to heightened risk of subsequent infection. Through analysis of paired blood samples obtained immediately before and 24 h following surgery, we evaluated changes in circulating immune cell phenotype and function across the first 24 h, to identify early immune changes associated with subsequent infection. We conducted a prospective observational study of adult patients undergoing major elective gastrointestinal, gynecological, or maxillofacial surgery requiring planned admission to the post-anesthetic care unit. Patients were followed up to hospital discharge or death. Outcome data collected included mortality, length of stay, unplanned intensive care unit admission, and post-operative infections (using the standardized endpoints in perioperative medicine-core outcome measures for perioperative and anesthetic care criteria). Peripheral blood mononuclear cells were isolated prior to and 24 h following surgery from which cellular immune traits including activation and functional status were assessed by multi-parameter flow cytometry and serum immune analytes compared by enzyme-linked immunosorbent assay (ELISA). Forty-eight patients were recruited, 26 (54%) of whom developed a post-operative infection. We observed reduced baseline pre- and post-operative monocyte CXCR4 and CD80 expression (chemokine receptors and co-stimulation markers, respectively) in patients who subsequently developed an infection as well as a profound and selective post-operative increase in CD4+ lymphocyte IL-7 receptor expression in the infection group only. Higher post-operative monocyte count was significantly associated with the development of post-operative infection (false discovery rate < 1%; adjusted p-value = 0.001) with an area under the receiver operating characteristic curve of 0.84 (p < 0.0001). Lower monocyte chemotaxis markers, higher post-operative circulating monocyte counts, and reduced co-stimulatory signals are associated with subsequent post-operative infections. Identifying the underlying mechanisms and therapeutics to reverse defects in immune cell function requires further exploration.

Outcome of Cancer Patients with an Unplanned Intensive Care Unit Admission: Predictors of Mortality and Long-term Survival.

Understanding the characteristics and outcomes of cancer patients with unplanned ICU admission is imperative for therapeutic decisions and prognostication purposes. To describe the clinical characteristics of patients with hematological and non-hematological malignancies (NHM) who require unplanned ICU admission and to determine the predictors of mortality and long-term survival. This retrospective study included all patients with cancer who had an unplanned ICU admission between 2011 and 2016 at a tertiary hospital in Saudi Arabia. The following variables were collected: age, gender, ICU length of stay (LOS), APACHE II score, type of malignancy, febrile neutropenia, source and time of admission, and need for mechanical ventilation (MV), renal replacement therapy (RRT), and treatment with vasopressors (VP). Predictors of mortality and survival rates at 28 days and 3, 6, and 12 months were calculated. The study included 410 cancer patients with 466 unplanned ICU admissions. Of these, 52% had NHM. The average LOS in the ICU was 9.6 days and the mean APACHE score was 21.9. MV was needed in 73% of the patients, RRT in 15%, and VP in 24%, while febrile neutropenia was present in 24%. There were statistically significant differences between survivors and non-survivors in the APACHE II score (17.7 ± 8.0 vs. 25.6 ± 9.2), MV use (52% vs. 92%), need for RRT (6% vs. 23%), VP use (42% vs. 85%), and presence of febrile neutropenia (18% vs. 30%). The predictors of mortality were need for MV (OR = 4.97), VP (OR = 3.43), RRT (OR = 3.31), and APACHE II score (OR = 1.10). Survival rates at 28 days, 3, 6, and 12 months were 52%, 28%, 22%, and 15%, respectively. The survival rate of cancer patients with an unplanned admission to the ICU remains low. Predictors of mortality include need for MV, RRT, and VP and presence of febrile neutropenia. About 85% of cancer patients died within 1 year after ICU admission.

Transforming nursing assessment in acute hospitals: A cluster randomised controlled trial of an evidence-based nursing core assessment (the ENCORE trial)

BackgroundPatient safety is threatened when early signs of clinical deterioration are missed or not acted upon. This research began as a clinical-academic partnership established around a shared concern of nursing physical assessment practices on general wards and delayed recognition of clinical deterioration. The outcome was the development of a complex intervention facilitated at the ward level for proactive nursing surveillance. MethodsThe evidence-based nursing core assessment (ENCORE) trial was a pragmatic cluster-randomised controlled trial. We hypothesised that ward intervention would reduce the incidence of patient rescue events (medical emergency team activations) and serious adverse events. We randomised 29 general wards in a 1:2 allocation, across 5 Australian hospitals to intervention (n = 10) and usual care wards (n = 19). Skilled facilitation over 12 months enabled practitioner-led, ward-level practice change for proactive nursing surveillance. The primary outcome was the rate of medical emergency team activations and secondary outcomes were unplanned intensive care unit admissions, on-ward resuscitations, and unexpected deaths. Outcomes were prospectively collected for 6 months following the initial 6 months of implementation. Analysis was at the patient level using generalised linear mixed models to account for clustering by ward. ResultsWe analysed 29,385 patient admissions to intervention (n = 11,792) and control (n = 17,593) wards. Adjusted models for overall effects suggested the intervention increased the rate of medical emergency team activations (adjusted incidence rate ratio 1.314; 95 % confidence interval 0.975, 1.773), although the confidence interval was compatible with a marginal decrease to a substantial increase in rate. Confidence intervals for secondary outcomes included a range of plausible effects from benefit to harm. However, considerable heterogeneity was observed in intervention effects by patient comorbidity. Among patients with few comorbid conditions in the intervention arm there was a lower medical emergency team activation rate and decreased odds of unexpected death. Among patients with multimorbidity in the intervention arm there were higher rates of medical emergency team activation and intensive care unit admissions. ConclusionTrial outcomes have refined our assumptions about the impact of the ENCORE intervention. The intervention appears to have protective effects for patients with low complexity where frontline teams can respond locally. It also appears to have redistributed medical emergency team activations and unplanned intensive care unit admissions, mobilising higher rates of rescue for patients with multimorbidity. Trial registration numberACTRN12618001903279 (Date of registration: 22/11/2018; First participant recruited: 01/02/2019).

The association of the Sequential Organ Failure Assessment score at intensive care unit discharge with intensive care unit readmission in the cardiac intensive care unit.

Unplanned intensive care unit (ICU) readmissions contribute to increased morbidity, mortality, and healthcare costs. The severity of patient illness at ICU discharge may predict early ICU readmission. Thus, in this study, we investigated the association of cardiac ICU (CICU) discharge Sequential Organ Failure Assessment (SOFA) score with unplanned CICU readmission in patients admitted to the CICU. We retrospectively reviewed the hospital medical records of 4659 patients who were admitted to the CICU from 2012 to 18. Sequential Organ Failure Assessment scores at CICU admission and discharge were obtained. The predictive performance of organ failure scoring was evaluated by using area under the receiver operating characteristic (AUROC) curves. The primary outcome was unplanned CICU readmission. Of the 3949 patients successfully discharged from the CICU, 184 (4.7%) had an unplanned CICU readmission or they experienced a deteriorated condition but died without being readmitted to the CICU (readmission group). The readmission group had significantly higher rates of organ failure in all organ systems at both CICU admission and discharge than the non-readmission group. The AUROC of the discharge SOFA score for CICU readmission was 0.731, showing good predictive performance. The AUROC of the discharge SOFA score was significantly greater than that of either the initial SOFA score (P = 0.020) or the Acute Physiology and Chronic Health Evaluation II score (P < 0.001). In the multivariable regression analysis, SOFA score, overweight or obese status, history of heart failure, and acute heart failure as reasons for ICU admission were independent predictors of unplanned ICU readmission during the same hospital stay. The discharge SOFA score may identify patients at a higher risk of unplanned CICU readmission, enabling targeted interventions to reduce readmission rates and improve patient outcomes.

Identifying Age-Specific Risk Factors for Poor Outcomes After Trauma With Machine Learning

IntroductionRisk stratification for poor outcomes is not currently age-specific. Risk stratification of older patients based on observational cohorts primarily composed of young patients may result in suboptimal clinical care and inaccurate quality benchmarking. We assessed two hypotheses. First, we hypothesized that risk factors for poor outcomes after trauma are age-dependent and, second, that the relative importance of various risk factors are also age-dependent. MethodsA cohort study of severely injured adult trauma patients admitted to the intensive care unit 2014-2018 was performed using trauma registry data. Random forest algorithms predicting poor outcomes (death or complication) were built and validated using three cohorts: (1) patients of all ages, (2) younger patients, and (3) older patients. Older patients were defined as aged 55 y or more to maintain consistency with prior trauma literature. Complications assessed included acute renal failure, acute respiratory distress syndrome, cardiac arrest, unplanned intubation, unplanned intensive care unit admission, and unplanned return to the operating room, as defined by the trauma quality improvement program. Mean decrease in model accuracy (MDA), if each variable was removed and scaled to a Z-score, was calculated. MDA change ≥4 standard deviations between age cohorts was considered significant. ResultsOf 5489 patients, 25% were older. Poor outcomes occurred in 12% of younger and 33% of older patients. Head injury was the most important predictor of poor outcome in all cohorts. In the full cohort, age was the most important predictor of poor outcomes after head injury. Within age cohorts, the most important predictors of poor outcomes, after head injury, were surgery requirement in younger patients and arrival Glasgow Coma Scale in older patients. Compared to younger patients, head injury and arrival Glasgow Coma Scale had the greatest increase in importance for older patients, while systolic blood pressure had the greatest decrease in importance. ConclusionsSupervised machine learning identified differences in risk factors and their relative associations with poor outcomes based on age. Age-specific models may improve hospital benchmarking and identify quality improvement targets for older trauma patients.

Expanding Critical Care Delivery beyond the Intensive Care Unit: Determining the Design and Implementation Needs for a Tele-Critical Care Consultation Service.

Unplanned intensive care unit (ICU) admissions from medical/surgical floors and increased boarding times of ICU patients in the emergency department (ED) are common; approximately half of these are associated with adverse events. We explore the potential role of a tele-critical care consult service (TC3) in managing critically ill patients outside of the ICU and potentially preventing low-acuity unplanned admissions and also investigate its design and implementation needs. We conducted a qualitative study involving general observations of the units, shadowing of clinicians during patient transfers, and interviews with clinicians from the ED, medical/surgical floor units and their ICU counterparts, tele-ICU, and the rapid response team at a large academic medical center in St. Louis, Missouri, United States. We used a hybrid thematic analysis approach supported by open and structured coding using the Consolidated Framework for Implementation Research (CFIR). Over 165 hours of observations/shadowing and 26 clinician interviews were conducted. Our findings suggest that a tele-critical care consult (TC3) service can prevent avoidable, lower acuity ICU admissions by offering a second set of eyes via remote monitoring and providing guidance to bedside and rapid response teams in the care delivery of these patients on the floor/ED. CFIR-informed enablers impacting the successful implementation of the TC3 service included the optional and on-demand features of the TC3 service, around-the-clock availability, and continuous access to trained critical care clinicians for avoidable lower acuity (ALA) patients outside of the ICU, familiarity with tele-ICU staff, and a willingness to try alternative patient risk mitigation strategies for ALA patients (suggested by TC3), before transferring all unplanned admissions to ICUs. Conversely, the CFIR-informed barriers to implementation included a desire to uphold physician autonomy by floor/ED clinicians, potential role conflicts with rapid response teams, additional workload for floor/ED nurses, concerns about obstructing unavoidable, higher acuity admissions, and discomfort with audio-visual tools. To amplify these potential enablers and mitigate potential barriers to TC3 implementation, informed by this study, we propose two key characteristics-essential for extending the delivery of critical care services beyond the ICU-underlying a telemedicine critical care consultation model including its virtual footprint and on-demand and optional service features. Tele-critical care represents an innovative strategy for delivering safe and high-quality critical care services to lower acuity borderline patients outside the ICU setting.

Risk factors for unplanned intensive care unit admission after esophagectomy: a retrospective cohort study of 628 patients with esophageal cancer.

Esophagectomy patients who experience unplanned ICU admission (UIA) may experience a heavier economic burden and worse clinical outcomes than those who experience routine intensive care unit (ICU) admission. The aim of this study was to identify the risk factors for postoperative UIA in patients who underwent esophagectomy. We retrospectively included patients with esophageal cancer who underwent esophagectomy. The characteristics of postoperative UIA were described, and univariable and multivariable analyses were performed based on the logistic regression model. Furthermore, a recursive partitioning analysis was adopted to stratify the patients according to the risk of UIA. A total of 628 patients were included in our final analysis, among whom 57 (9.1%) had an UIA. The patients in the UIA cohort had a higher rate of in-hospital mortality (P<0.001), longer hospital stay (P<0.001), and higher associated costs (P<0.001). Multivariable analysis showed that hybrid/open esophagectomy (OR=4.366, 95% CI=2.142 to 8.897, P<0.001), operation time (OR=1.006, 95% CI=1.002 to 1.011, P=0.007), intraoperative blood transfusion (OR=3.118, 95% CI=1.249 to 7.784, P=0.015) and the prognostic nutrition index (PNI) (OR=0.779, 95% CI=0.724 to 0.838, P<0.001) were independently associated with UIA. We identified several critical independent perioperative risk factors that may increase the risk of UIA following esophagectomy, and the above risk factors should be the focus of attention to reduce the incidence of postoperative UIA.