Unplanned Intensive Care Unit Research Articles

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.

Palliative Care Consultation and Family-Centered Outcomes in Patients With Unplanned Intensive Care Unit Admissions.

Context: Hospitalized patients who experience unplanned intensive care unit (ICU) admissions face significant challenges, and their family members have unique palliative care needs. Objectives: To identify predictors of palliative care consultation among hospitalized patients with unplanned ICU admissions and to examine the association between palliative care consultation and family outcomes. Methods: We conducted a prospective cohort study of patients with unplanned ICU admissions at two medical centers in Seattle, WA. This study was approved by the institutional review board at the University of Washington (STUDY00008182). Using multivariable logistic regression, we examined associations between patient characteristics and palliative care consultation. Family members completed surveys assessing psychological distress within 90 days of patient discharge. Adjusted ordinal probit or binary logistic regression models were used to identify associations between palliative care consultation and family symptoms of psychological distress. Results: In our cohort (n = 413 patients and 272 family members), palliative care was consulted for 24% of patients during hospitalization (n = 100), with the majority (93%) of these consultations occurring after ICU admission. Factors associated with palliative care consultation after ICU transfer included enrollment site (OR, 2.29; 95% CI: 1.17-4.50), Sequential Organ Failure Assessment score at ICU admission (OR, 1.12; 95% CI: 1.05-1.19), and reason for hospital admission (kidney dysfunction [OR, 7.02; 95% CI: 1.08-45.69]). There was no significant difference in family symptoms of depression or posttraumatic stress based on palliative care consultation status. Conclusions: For patients experiencing unplanned ICU admission, palliative care consultation often happened after transfer and was associated with illness severity, comorbid illness, and hospital site. Patient death was associated with family symptoms of psychological distress.

Preoperative Frailty and Malnutrition in Surgical Oncology Patients Predicts Higher Postoperative Adverse Events and Worse Survival: Results of a Blinded, Prospective Trial.

Frailty, a multidimensional state leading to reduced physiologic reserve, is associated with worse postoperative outcomes. Despite the availability of various frailty tools, surgeons often make subjective assessments of patients' ability to tolerate surgery. The Risk Analysis Index (RAI) is a validated preoperative frailty assessment tool that has not been studied in cancer patients with plans for curative-intent surgery. In this prospective, surgeon-blinded study, patients who had abdominal malignancy with plans for resection underwent preoperative frailty assessment with the RAI and nutrition assessment by measurement of albumin, prealbumin, and C-reactive protein (CRP). Postoperative outcomes and survival were assessed. The study included 220 patients, 158 (72%) of whom were considered frail (RAI ≥21). Frail patients were more likely to be readmitted within 30 and 90 days, (16% vs. 3% [P = 0.006] and 16% vs. 5% [P = 0.025], respectively). Patients with abnormal CRP, prealbumin, and albumin experienced higher rates of unplanned intensive care unit admission (CRP [27% vs. 8%; P < 0.001], albumin [30% vs. 10%; P < 0.001], prealbumin [29% vs. 9%; P < 0.001]) and increased postoperative mortality at 90 and 180 days. Survival was similar for frail and non-frail patients. In the multivariate analysis, frailty remained an independent risk factor for readmission (hazard ratio, 5.58; 95% confidence interval, 1.39-22.15; P = 0.015). In the post hoc analysis using the pre-cancer RAI score, the postoperative outcomes did not differ between the frail and non-frail patients. In conjunction with preoperative markers of nutrition, the RAI may be used to identify patients who may benefit from additional preoperative risk stratification and increased postoperative follow-up evaluation.

Impact of extra-ampullary duodenal adenocarcinoma subtypes on surgical and oncological outcomes following pancreaticoduodenectomy.

There is little information about the relevance of extra-ampullary duodenal adenocarcinoma (EDA) subtypes. The aim of this study was to evaluate the impact of EDA subtypes on surgical and oncological outcomes following pancreatoduodenectomy (PD). Consecutive patients undergoing PD for EDA from 2000 to 2019 were analyzed. Results were stratified by pathologic subtype (intestinal versus non-intestinal). Uni-and multivariable analyses were performed using standard statistical methods. The study population consisted of 70 patients, of whom 49 (70%) had an intestinal phenotype. EDA with intestinal phenotype was more frequently proximal to the Ampulla of Vater, while non-intestinal EDA was more frequently found distally (76% vs. 33%, p = 0.002). Patients with intestinal EDA were less likely to experience severe morbidity, with decreased reoperation and unplanned Intensive Care Unit admission rates relative to non-intestinal subtypes (2% vs. 29% p = 0.002, and 2% vs. 19%, p = 0.007, respectively). The median follow-up post-pancreatectomy was 73months. Intestinal EDA was associated with improved overall and disease-free survival, with 3-year and 5-year survival rates of 71% vs. 29% and 53% vs. 24%, respectively. (p = 0.019 and p = 0.025). Intestinal-type EDA, which more often arises from supra-ampullary duodenum, was associated with better postoperative outcomes and improved survival.

The Hospitalist-Oncologist co-ManagemEnt (HOME) system improves hospitalization outcomes of patients with cancer

BackgroundThe hospitalist system has been introduced to improve the quality and safety of inpatient care. As its effectiveness has been confirmed in previous studies, the hospitalist system is spreading in various fields. However, few studies have investigated the feasibility and value of hospitalist-led care of patients with cancer in terms of quality and safety measures. This study aimed to evaluate the efficacy of the Hospitalist-Oncologist co-ManagemEnt (HOME) system.MethodsBetween January 1, 2019, and January 31, 2021, we analyzed 591 admissions before and 1068 admissions after the introduction of HOME system on January 1, 2020. We compared the length of stay and the types and frequencies of safety events between the conventional system and the HOME system, retrospectively. We also investigate rapid response system activation, cardiopulmonary resuscitation, unplanned intensive care unit transfer, all-cause in-hospital mortality, and 30-day re-admission or emergency department visits.ResultsThe average length of stay (15.9 days vs. 12.9 days, P < 0.001), frequency of safety events (5.6% vs. 2.8%, P = 0.006), rapid response system activation (7.3% vs. 2.2%, P < 0.001) were significantly reduced after the HOME system introduction. However, there was no statistical difference in frequencies of cardiopulomonary resuscitation and intensive care unit transfer, all-cause in-hospital morality, 30-day unplanned re-admission or emergency department visits.ConclusionsThe study suggests that the HOME system provides higher quality of care and safer environment compared to conventional oncologist-led team-based care, and the efficiency of the medical delivery system could be increased by reducing the hospitalization period without increase in 30-day unplanned re-admission.

Prognostic factors for critically ill surgical patients with unplanned intensive care unit readmission: Developing a novel predictive scoring model for predicting readmission

BackgroundUnplanned readmission to the surgical intensive care unit has been demonstrated to worsen patient outcomes. Our objective was to identify risk factors and outcomes associated with unplanned surgical intensive care unit readmission and to develop a predictive scoring model to identify patients at high risk of readmission. MethodsWe retrospectively analyzed patients admitted to the surgical intensive care unit (2020–2021) and categorized them as either with or without unplanned readmission. ResultsOf 1,112 patients in the derivation cohort, 76 (6.8%) experienced unplanned surgical intensive care unit readmission, with sepsis being the leading cause of readmission (35.5%). Patients who were readmitted had significantly higher in-hospital mortality rates than those who were not. Multivariate analysis identified congestive heart failure, high Sequential Organ Failure Assessment–Hepatic score, use of carbapenem during surgical intensive care unit stay, as well as factors before surgical intensive care unit discharge such as inadequate glycemic control, positive fluid balance, low partial pressure of oxygen in arterial blood/fraction of inspired oxygen ratio, and receipt of total parenteral nutrition as independent predictors for unplanned readmission. The scoring model developed using these predictors exhibited good discrimination between readmitted and non-readmitted patients, with an area under the curve of 0.74. The observed rates of unplanned readmission for scores of <4 points and ≥4 points were 4% and 20.2% (P < .001), respectively. The model also demonstrated good performance in the validation cohort, with an area under the curve of 0.74 and 19% observed unplanned readmission rate for scores ≥4 points. ConclusionBesides congestive heart failure, clinicians should meticulously re-evaluate critical variables such as the Sequential Organ Failure Assessment–Hepatic score, partial pressure of oxygen in arterial blood/fraction of inspired oxygen ratio, glycemic control, and fluid status before releasing the patient from the surgical intensive care unit. It is crucial to determine the reasons for using carbapenems during surgical intensive care unit stay and the causes for the inability to discontinue total parenteral nutrition before discharging the patient from the surgical intensive care unit.

Timing matters: Early versus late rib fixation in patients with multiple rib fractures and pulmonary contusion

BackgroundRecent literature has shown that surgical stabilization of rib fractures benefits patients with rib fractures accompanied by pulmonary contusion; however, the impact of timing on surgical stabilization of rib fractures in this patient population remains unexplored. We aimed to compare early versus late surgical stabilization of rib fractures in patients with traumatic rib fractures and concurrent pulmonary contusion. MethodsWe selected all adult patients with isolated blunt chest trauma, multiple rib fractures, and pulmonary contusion undergoing early (<72 hours) versus late surgical stabilization of rib fractures (≥72 hours) using the American College of Surgeons Trauma Quality Improvement Program 2016 to 2020. Propensity score matching was performed to adjust for patient, injury, and hospital characteristics. Our outcomes were hospital length of stay, acute respiratory distress syndrome, unplanned intubation, ventilator days, unplanned intensive care unit admission, intensive care unit length of stay, tracheostomy rates, and mortality. We then performed sub-group analyses for patients with major or minor pulmonary contusion. ResultsWe included 2,839 patients, of whom 1,520 (53.5%) underwent early surgical stabilization of rib fractures. After propensity score matching, 1,096 well-balanced pairs were formed. Early surgical stabilization of rib fractures was associated with a decrease in hospital length of stay (9 vs 13 days; P < .001), decreased intensive care unit length of stay (5 vs 7 days; P < .001), and lower rates of unplanned intubation (7.4% vs 11.4%; P = .001), unplanned intensive care unit admission (4.2% vs 105%, P < .001), and tracheostomy (8.4% vs 12.4%; P = .002). Similar results were also found in the subgroup analyses for patients with major or minor pulmonary contusion. ConclusionThese findings suggest that in patients with multiple rib fractures and pulmonary contusion, the early implementation of surgical stabilization of rib fractures could be beneficial regardless of the severity of pulmonary contusion.

Troponin elevation as a marker of short deterioration and one-year death in a high-risk surgical patient cohort in a low and middle income country setting: a postoperative approach to increase surveillance.

Myocardial injury after noncardiac surgery is common and mostly asymptomatic. The ideal target population that will benefit from routine troponin measurements in low and middle income countries (LMICs) is unclear. This study aims to evaluate the clinical outcomes of a cohort of high-risk surgical patients according to high-sensitivity troponin T (hsTnT) in an LMIC setting. We conducted a prospective cohort study of 442 high-risk patients undergoing noncardiac surgery at a Brazilian hospital between February 2019 and March 2020. High-sensitivity troponin T levels were measured preoperatively, 24hr, and 48hr after surgery and stratified into three groups: normal (< 20ng·L-1); minor elevation (20-65ng·L-1); and major elevation (> 65ng·L-1). We performed survival analysis to determine the association between myocardial injury and one-year mortality. We described medical interventions and evaluated unplanned intensive care unit (ICU) admission and complications using multivariable models. Postoperative myocardial injury occurred in 45% of patients. Overall, 30-day mortality was 8%. Thirty-day and one-year mortality were higher in patients with hsTnT ≥ 20ng·L-1. One-year mortality was 18% in the unaltered troponin group vs 31% and 41% for minor and major elevation groups, respectively. Multivariable analysis of one-year survival showed a hazard ratio (HR) of 1.94 (95% confidence interval [CI], 1.22 to 3.09) for the minor elevation group and a HR of 2.73 (95% CI, 1.67 to 4.45) for the troponin > 65ng·L-1 group. Patients with altered troponin had more unplanned ICU admissions (13% vs 5%) and more complications (78% vs 48%). This study supports evidence that hsTnT is an important prognostic marker and a strong predictor of all-cause mortality after surgery. Troponin measurement in high-risk surgical patients could potentially be used as tool to scale-up care in LMIC settings. ClinicalTrials.gov (NCT04187664); first submitted 5 December 2019.

Effect of perioperative anticoagulant prophylaxis in patients with traumatic subdural hematoma and a history of anticoagulant use: a propensity-matched National Trauma Data Bank analysis.

The use of anticoagulation to prevent venous thromboembolism (VTE) is controversial in the setting of neurosurgical decompression for traumatic subdural hematoma (SDH). In these patients, there is concern that anticoagulation may cause secondary hemorrhage, increasing the risk of death and other complications. Patients with a history of anticoagulant use are at further risk of VTE, but the effect of VTE prophylaxis (VTEP) following neurosurgery for SDH has not been thoroughly investigated in this population. This study aims to investigate the differences in in-hospital outcomes in patients with SDH and preexisting anticoagulant use who received VTEP following neurosurgical intervention compared with those who did not. The National Trauma Data Bank was queried from 2017 to 2019 for all patients with preexisting anticoagulant use presenting with an SDH who subsequently underwent neurosurgical intervention. Patients who received VTEP were propensity score matched with patients who did not based on demographics, insurance type, injury severity, and comorbidities. Paired Student t-tests, Pearson's chi-square tests, and Benjamini-Hochberg multiple comparisons correction were used to compare differences in in-hospital complications, length of stay (LOS), and mortality rate between the two groups. A logistic regression model was developed to identify risk factors for in-hospital mortality. Two thousand seven hundred ninety-four patients matching the inclusion criteria were identified, of whom 950 received VTEP. Following one-to-one matching and multiple comparisons correction, the VTEP group had a lower mortality rate (18.53% vs 34.53%, p < 0.001) but longer LOS (14.09 vs 8.57 days, p < 0.001) and higher rates of pressure ulcers (2.11% vs 0.53%, p = 0.01), unplanned intensive care unit admission (9.05% vs 3.47%, p < 0.001), and unplanned intubation (9.47% vs 6.11%, p = 0.021). The multivariable logistic regression showed that use of unfractionated heparin (UH; OR 0.36, p < 0.001) and low-molecular-weight heparin (LMWH; OR 0.3, p < 0.001) were associated with lower odds of in-hospital mortality. In patients with traumatic SDH and a history of anticoagulant use, perioperative VTEP was associated with increased LOS but provided a mortality benefit. LMWH and UH use were the strongest predictors of survival.

Frequency of and associations with alterations of medical emergency team calling criteria in a teaching hospital emergency department

BackgroundMedical emergency team (METs), activated by vital sign–based calling criteria respond to deteriorating patients in the hospital setting. Calling criteria may be altered where clinicians feel this is appropriate. Altered calling criteria (ACC) has not previously been evaluated in the emergency department (ED) setting. ObjectivesThe objectives of this study were to (i) describe the frequency of ACC in a teaching hospital ED and the number and type of vital signs that were modified and (ii) associations between ACC in the ED and differences in the baseline patient characteristics and adverse outcomes including subsequent MET activations, unplanned intensive care unit (ICU) admissions and death within 72 h of admission. MethodsRetrospective observational study of patients presenting to an academic, tertiary hospital ED in Melbourne, Australia between January 1st, 2019 and December 31st, 2019. The primary outcome was frequency and nature of ACC in the ED. Secondary outcomes included differences in baseline patient characteristics, frequency of MET activation, unplanned ICU admission, and mortality in the first 72 h of admission between those with and without ACC in the ED. ResultsAmongst 14 159 ED admissions, 725 (5.1%) had ACC, most frequently for increased heart or respiratory rate. ACC was associated with older age and increased comorbidity. Such patients had a higher adjusted risk of MET activation (odds ratio [OR]: 3.14, 95% confidence interval [CI]: 2.50–3.91, p = <0.001), unplanned ICU admission (OR: 1.97, 95% CI: 1.17–3.14, p = 0.016), and death (OR: 3.87, 95% CI: 2.08–6.70, p = 0.020) within 72 h. ConclusionsACC occurs commonly in the ED, most frequently for elevated heart and respiratory rates and is associated with worse patient outcomes. In some cases, ACC requires consultant involvement, more frequent vital sign monitoring, expeditious inpatient team review, or ICU referral.

Prospective, multicenter validation of the deep learning-based cardiac arrest risk management system for predicting in-hospital cardiac arrest or unplanned intensive care unit transfer in patients admitted to general wards

BackgroundRetrospective studies have demonstrated that the deep learning-based cardiac arrest risk management system (DeepCARS™) is superior to the conventional methods in predicting in-hospital cardiac arrest (IHCA). This prospective study aimed to investigate the predictive accuracy of the DeepCARS™ for IHCA or unplanned intensive care unit transfer (UIT) among general ward patients, compared with that of conventional methods in real-world practice.MethodsThis prospective, multicenter cohort study was conducted at four teaching hospitals in South Korea. All adult patients admitted to general wards during the 3-month study period were included. The primary outcome was predictive accuracy for the occurrence of IHCA or UIT within 24 h of the alarm being triggered. Area under the receiver operating characteristic curve (AUROC) values were used to compare the DeepCARS™ with the modified early warning score (MEWS), national early warning Score (NEWS), and single-parameter track-and-trigger systems.ResultsAmong 55,083 patients, the incidence rates of IHCA and UIT were 0.90 and 6.44 per 1,000 admissions, respectively. In terms of the composite outcome, the AUROC for the DeepCARS™ was superior to those for the MEWS and NEWS (0.869 vs. 0.756/0.767). At the same sensitivity level of the cutoff values, the mean alarm counts per day per 1,000 beds were significantly reduced for the DeepCARS™, and the rate of appropriate alarms was higher when using the DeepCARS™ than when using conventional systems.ConclusionThe DeepCARS™ predicts IHCA and UIT more accurately and efficiently than conventional methods. Thus, the DeepCARS™ may be an effective screening tool for detecting clinical deterioration in real-world clinical practice.Trial registration This study was registered at ClinicalTrials.gov (NCT04951973) on June 30, 2021.

Findings from a decade of experience following implementation of a Rapid Response System into an Asian hospital

AimRapid response systems (RRS) are present in many acute hospitals in western nations but are not widely adopted in Asia. The influence of healthcare culture and the effect of implementing an RRS over time are infrequently reported. We describe the introduction a RRS into a Singaporean hospital and the barriers encountered. The efferent limb activation rates, cardiac arrest rates and unplanned intensive care unit (ICU) admissions are trended over eleven years. MethodsWe conducted a retrospective observational study using prospectively collected data derived from administrative and Medical Emergency Team (MET) databases. ResultsThe RRS used a MET with a single parameter track and trigger and physician led efferent limb. Barriers encountered included clinical leadership buy-in, assembling and equipping the efferent team, maintaining a non-punitive mindset, improving accessibility to MET and communicating the impact of the MET. Over an 11-year period with 488,252 hospital admissions, MET activation rates increased from 1.6/1000 admissions (2009) to 14.1/1000 admissions (2019). Code blue activations and unplanned ICU admission rates decreased from 2.9 to 1.7 and from 8.8 to 2.0/1000 admissions, respectively over the 11 years. There were associations between increasing MET activation rate and reduction in code blue activations (p = 0.013) and unplanned medical ICU admission rates (p = 0.001). ConclusionImplementing, sustaining and continued improvement of an RRS in Singapore is possible despite challenges encountered. With increasing activation rates over a decade, there were reductions in cardiac arrest rates and unplanned medical ICU admissions.

Patient Characteristics and Clinical and Economic Outcomes Associated with Unplanned Medical and Surgical Intensive Care Unit Admissions: A Retrospective Analysis.

To characterize medical and surgical patient characteristics, as well as clinical and economic outcomes, associated with unplanned intensive care unit (ICU) admissions. This was a retrospective matched cohort analysis that utilized the PINC AITM Healthcare Database, which collects deidentified data from 25% of United States (US) hospital admissions. Discharge records were assessed for medical and surgical admissions in 2021. An unplanned ICU admission was defined as direct transfer from a medical, surgical, or telemetry unit to the ICU. Patients with and without an unplanned ICU admission were 1:1 propensity score matched. Differences between patients with and without unplanned ICU admissions were assessed using two-sample t-tests for continuous measures and Chi-square tests for categorical measures. A total of 3,807,124 qualifying admissions were identified. Medical admissions with unplanned ICU transfers were more likely to be urgent/emergent (odds ratio [OR] 2.9, 95% confidence interval [CI 2.7-3.0], p<0.0001), with patient characteristics including male sex (1.4, [1.4-1.4], p<0.0001), obesity (1.7, [1.6-1.7], p<0.0001), and increased Charlson Comorbidity Index (CCI=1: 1.8, [1.8-1.9], p<0.0001; CCI≥5: 3.2, [3.1-3.3], p<0.0001). Surgical admissions with unplanned ICU transfers were more likely to be urgent/emergent (3.1, [2.9-3.2], p<0.0001) and with patients of higher CCI (2.5, [2.3-2.6], p<0.0001 to a CCI of≥5 (7.9, [7.4-8.4], p<0.0001). Between matched medical patients, mean differences in length of stay, cost, and mortality were 4.1 days (p<0.0001), $13,424 (p<0.0001), and 21% (p<0.0001), respectively. Between matched surgical patients, mean differences in these outcomes were 6.4 days (p<0.0001), $21,448 (p<0.0001), and 14% (p<0.0001), respectively. Emergency care in patients with a higher co-morbid burden is more likely to lead to unplanned ICU admission, putting patients at a significantly increased chance of mortality, longer length of stay, and increased costs. Improving care and monitoring of patients outside the ICU may help detect early changes in pathophysiology and enable early intervention.