Failure to Rescue after Infectious Complications in a Statewide Trauma System

Incidence, Risk Factors, and Outcomes of Central Line-Associated Bloodstream Infections in Trauma Patients

Introduction: Central line-associated blood stream infection (CLABSI) is a hospital-acquired infection (HAI) associated with increased morbidity and mortality among the general patient population. However, few studies have evaluated the incidence, outcomes, and risk factors for CLABSI in trauma patients. This study aimed to identify the rate of positive (+)CLABSI in trauma patients and risk factors associated with (+)CLABSI. Methods: The 2017-2021 Trauma Quality Improvement Program database was queried for trauma patients aged ≥18 years undergoing central-line placement. We compared patients with (+)CLABSI vs. (-)CLABSI patients. Bivariate and multivariable logistic regression analyses were performed. Results: From 175,538 patients undergoing central-line placement, 469 (<0.1%) developed CLABSI. The (+)CLABSI patients had higher rates of cirrhosis (3.9% vs. 2.0%, p = 0.003) and chronic kidney disease (CKD) (4.3% vs. 2.6%, p = 0.02). The (+)CLABSI group had increased injury severity score (median: 25 vs. 13, p < 0.001), length of stay (LOS) (median 33.5 vs. 8 days, p < 0.001), intensive care unit LOS (median 21 vs. 6 days, p < 0.001), and mortality (23.7% vs. 19.6%, p = 0.03). Independent associated risk factors for (+)CLABSI included catheter-associated urinary tract infection (CAUTI) (odds ratio [OR] = 5.52, confidence interval [CI] = 3.81-8.01), ventilator-associated pneumonia (VAP) (OR = 4.43, CI = 3.42-5.75), surgical site infection (SSI) (OR = 3.66, CI = 2.55-5.25), small intestine injury (OR = 1.91, CI = 1.29-2.84), CKD (OR = 2.08, CI = 1.25-3.47), and cirrhosis (OR = 1.81, CI = 1.08-3.02) (all p < 0.05). Conclusion: Although CLABSI occurs in <0.1% of trauma patients with central-lines, it significantly impacts LOS and morbidity/mortality. The strongest associated risk factors for (+)CLABSI included HAIs (CAUTI/VAP/SSI), specific injuries (small intestine), and comorbidities. Providers should be aware of these risk factors with efforts made to prevent CLABSI in these patients.

Which hospital-acquired conditions matter the most in trauma? An evidence-based approach for prioritizing trauma program improvement

BACKGROUND

Prevention of hospital-acquired conditions (HACs) is a focus of trauma center quality improvement. The relative contributions of various HACs to postinjury hospital outcomes are unclear. We sought to quantify and compare the impacts of six HACs on early clinical outcomes and resource utilization in hospitalized trauma patients.

METHODS

Adult patients from the 2013 to 2016 American College of Surgeons Trauma Quality Improvement Program Participant Use Data Files who required 5 days or longer of hospitalization and had an Injury Severity Score of 9 or greater were included. Multiple imputation with chained equations was used for observations with missing data. The frequencies of six HACs and five adverse outcomes were determined. Multivariable Poisson regression with log link and robust error variance was used to produce relative risk estimates, adjusting for patient-, hospital-, and injury-related factors. Risk-adjusted population attributable fractions estimates were derived for each HAC-outcome pair, with the adjusted population attributable fraction estimate for a given HAC-outcome pair representing the estimated percentage decrease in adverse outcome that would be expected if exposure to the HAC had been prevented.

RESULTS

A total of 529,856 patients requiring 5 days or longer of hospitalization were included. The incidences of HACs were as follows: pneumonia, 5.2%; urinary tract infection, 3.4%; venous thromboembolism, 3.3%; surgical site infection, 1.3%; pressure ulcer, 1.3%; and central line-associated blood stream infection, 0.2%. Pneumonia demonstrated the strongest association with in-hospital outcomes and resource utilization. Prevention of pneumonia in our cohort would have resulted in estimated reductions of the following: 22.1% for end organ dysfunction, 7.8% for mortality, 8.7% for prolonged hospitalization, 7.1% for prolonged intensive care unit stay, and 6.8% for need for mechanical ventilation. The impact of other HACs was comparatively small.

CONCLUSION

We describe a method for comparing the contributions of HACs to outcomes of hospitalized trauma patients. Our findings suggest that trauma program improvement efforts should prioritize pneumonia prevention.

LEVEL OF EVIDENCE

Therapeutic/Care Management; Level IV.

Improving Communication and Response to Clinical Deterioration to Increase Patient Safety in the Intensive Care Unit

BACKGROUND

In the critical care setting, early recognition of clinical decompensation is imperative to trigger prompt intervention and optimize patient outcomes.

LOCAL PROBLEM

In a 20-bed surgical intensive care unit of an urban academic medical center, cases of clinical deterioration that highlighted opportunities to improve the communication process prompted a reassessment of health care provider roles and responsibilities.

METHODS

A quality improvement initiative was implemented to enhance communication among intensive care unit clinical staff members, improve the timeliness of reporting clinical deterioration, and ensure implementation of timely, appropriate interventions to eliminate adverse outcomes.

INTERVENTIONS

Nurses were surveyed to determine their perceptions of communication and collaboration among providers. Education was provided that focused on familiarizing nurses with clinical conditions necessitating direct notification of the attending surgical intensivist and included review of a case in which escalation of care did not occur. Multidisciplinary rounds were expanded to engage night-shift nurses in clinical discussions and decision-making. A template was created to document episodes of escalation in the electronic health record.

RESULTS

Since implementation of the quality improvement interventions, no incidents of patient harm or death related to failure to escalate have occurred to date. A total of 16 episodes of escalation for clinical deterioration were documented in the electronic health record. Most nurses reported an increased level of confidence in understanding when to escalate concerns about clinical deterioration.

CONCLUSION

Implementing a multimodal program to empower nurses to escalate clinical concerns directly to the attending physician eliminated adverse events related to failure to escalate.

Sepsis in Trauma: A Deadly Complication

Sepsis is a major cause of death following a traumatic injury. As a life-threatening medical emergency, it is defined as the body's extreme response to an infection. Without timely treatment, sepsis can rapidly lead to tissue damage, and organ failure The capacity to limit tissue damage through metabolic adaptation and repair processes is associated with an excessive immune response of the host. It is important to make an early prediction of sepsis, based on the quick Sepsis associated Organ Failure Assessment Score (qSOFA), so an accurate treatment can be initiated reducing the morbidity and mortality at the emergency and UCI services. Many factors increase the rate of complications and the development of sepsis in a trauma patient, representing a challenge to orthopedic surgeons. Several early biomarkers that help to identify and predict the inflammatory and immune responses of the host going through polytrauma and sepsis have been studied; procalcitonin (PCT), C-reactive protein (CRP), glycosylated hemoglobin (HbA1c), the Neutrophil/lymphocyte ratio (NLR), Interleukin-17 (IL-17), Caspase-1, Vanin-1, High-density lipoproteins (HDL), and the Thrombin-activable fibrinolysis inhibitor (TAFI). Once sepsis is diagnosed, treatment must be immediately initiated with an appropriate empiric antimicrobial, an all-purpose supporting treatment, and metabolic control, followed by the specific antibiotic therapy based on blood culture. Since the participation of sepsis in polytrauma has been recognized as a key event in the outcome of patients at the ICU, the ability of the specialist to early recognize a septic process has become a key feature to reduce mortality and improve clinical prognosis.

The impact of infection complications after trauma differs according to trauma severity

The impact of infection on the prognosis of trauma patients according to severity remains unclear. We assessed the impact of infection complications on in-hospital mortality among patients with trauma according to severity. This retrospective cohort study used a nationwide registry of trauma patients. Patients aged ≥ 18 years with blunt or penetrating trauma who were admitted to intensive care units or general wards between 2004 and 2017 were included. We compared the baseline characteristics and outcomes between patients with and without infection and conducted a multivariable logistic regression analysis to investigate the impact of infection on in-hospital mortality according to trauma severity, which was classified as mild [Injury Severity Score (ISS) < 15], moderate (ISS 15–29), or severe (ISS ≥ 30). Among the 150,948 patients in this study, 10,338 (6.8%) developed infections. Patients with infection had greater in-hospital mortality than patients without infection [1085 (10.5%) vs. 2898 (2.1%), p < 0.01]. After adjusting for clinical characteristics, in-hospital mortality differed between trauma patients with and without infection according to trauma severity [17.1% (95% CI 15.2–18.9%) vs. 2.9% (95% CI 2.7–3.1%), p < 0.01, in patients with mild trauma; 14.8% (95% CI 13.3–16.3%) vs. 8.4% (95% CI 7.9–8.8%), p < 0.01, in patients with moderate trauma; and 13.5% (95% CI 11.2–15.7%) vs. 13.7% (95% CI 12.4–14.9%), p = 0.86, in patients with severe trauma]. In conclusion, the effect of infection complications in patients with trauma on in-hospital mortality differs by trauma severity.

University Teaching Trauma Centers: Decreased Mortality but Increased Complications

BACKGROUND

Teaching hospitals are often regarded as excellent institutions with significant resources and prominent academic faculty. However, the involvement of trainees may contribute to higher rates of complications. Conflicting reports exist regarding outcomes between teaching and nonteaching hospitals, and the difference among trauma centers is unknown. We hypothesized that university teaching trauma centers (UTTCs) and nonteaching trauma centers (NTTCs) would have a similar risk of complications and mortality.

METHODS

We queried the Trauma Quality Improvement Program (2010-2016) for adults treated at UTTCs or NTTCs. A multivariable logistic regression analysis was performed to evaluate the risk of mortality and in-hospital complications, such as respiratory complications (RCs), venous thromboembolisms (VTEs), and infectious complications (ICs).

RESULTS

From 895,896 patients, 765,802 (85%) were treated at UTTCs and 130,094 (15%) at NTTCs. After adjusting for covariates, UTTCs were associated with an increased risk of RCs (odds ratio (OR) 1.33, confidence interval (CI) 1.28-1.37, P < 0.001), VTEs (OR 1.17, CI 1.12-1.23, P < 0.001), and ICs (OR 1.56, CI 1.49-1.64, P < 0.001). However, UTTCs were associated with decreased mortality (OR 0.96, CI 0.93-0.99, P = 0.008) compared with NTTCs.

CONCLUSIONS

Our study demonstrates increased associated risks of RCs, VTEs, and ICs, yet a decreased associated risk of in-hospital mortality for UTTCs when compared with NTTCs. Future studies are needed to identify the underlying causative factors behind these differences.

Pulmonary complications in trauma: Another bellwether for failure to rescue?

BACKGROUND

Pulmonary complications are the most common adverse event after injury and second greatest cause of failure to rescue (death after pulmonary complications). It is not known whether readily accessible trauma center data can be used to stratify center-level performance for various complications. Performance variation between trauma centers would allow sharing of best practices among otherwise similar hospitals. We hypothesized that high-, average-, and low-performing centers for pulmonary complication and failure to rescue could be identified and that hospital factors associated with success and failure could be discovered.

METHODS

Pennsylvania state trauma registry data (2007-2015) were abstracted for pulmonary complications. Burns and age <17 were excluded. Multivariable logistic regression models were developed for pulmonary complication and failure to rescue, using demographics, comorbidities, and injuries/physiology. Expected event rates were compared with observed rates to identify outliers. Center-level variables associated with outcomes of interest were taken from the American Hospital Association Annual Survey Database and assessed for inclusion.

RESULTS

Included in the study were 283,121 patients (male [60%] blunt trauma [92%]). Of these patients, 3% (8,381 of 283,121) developed pulmonary complications (center-level range 0.18%-5.8%). The percentage of failure-to-rescue patients was 13.4% (1,120/8,381, center-level range 0.0%-22.6%). For pulmonary complications, 13 out of 27 centers were high performers (95% CI for O:E ratio <1) and 7 out of 27 were low (95% CI for an O:E ratio >1). For failure-to-rescue patients, 2 out of 27 centers were low performers and the remainder average. There was little concordance between performance for pulmonary complications and failure to rescue. Research programs, large non-teaching hospitals, those with advanced practice providers, and those with health maintenance organizations had reduced failure-to-rescue patients.

CONCLUSION

Factors associated with complications were distinct from those affecting failure to rescue and center-level success in reducing complications often did not translate into success in preventing death once they occurred. Our data demonstrate that high- and low-performing centers and the factors driving success or failure are identifiable. This work serves as a guide for comparing practices and improving outcomes with readily available data.

The effect of cirrhosis on trauma outcomes: A systematic review and meta-analysis

BACKGROUND

The negative effect of cirrhosis on mortality following traumatic injury has been quantified in multiple observational studies. However, to our knowledge, the information contained in these studies has never been synthesized. The aims of this study were: (1) to determine the magnitude of the effect of liver cirrhosis on mortality, morbidity, and hospital course among trauma patients and (2) to analyze sources of study heterogeneity that may lead to differing estimates in the observed mortality rate among patients with cirrhosis.

METHODS

A systematic search of EMBASE and PubMed was conducted. Data were extracted from eligible studies and analyzed using a random-effects model to compare trauma outcomes in cirrhotic and noncirrhotic patients (PROSPERO Registration CRD42018088464). Mortality was the primary outcome. Secondary outcomes included complication rate, length of hospital stay, length of intensive care unit stay, and mechanical ventilation days.

RESULTS

Title and abstract review of 15,958 articles led to the identification of 31 relevant articles. Ultimately, 18 observational studies were included in this meta-analysis. The pooled effect sizes for mortality (odds ratio [OR], 4.52; 95% confidence interval [CI], 3.13-6.54) and complication rate (OR, 1.92; 95% CI, 1.30-2.85) were higher in the cirrhotic group than the noncirrhotic group. Trauma patients with cirrhosis also incurred longer hospital stays (mean difference, 3.81 days; 95% CI, 1.22-6.41) and longer ICU stays (mean difference, 2.40 days; 95% CI, 0.65-4.15). There was no difference in days spent on mechanical ventilation.

CONCLUSION

Preexisting liver cirrhosis is associated with increased mortality rate, complication rate, and length of hospitalization among trauma patients, even after adjusting for confounding factors and potential sources of between-study heterogeneity. Trauma patients with cirrhosis would benefit from heightened surveillance and injury prevention interventions.

LEVEL OF EVIDENCE

Systematic review and meta-analysis, level III.

Cardiac complications and failure to rescue after injury in a mature state trauma system: Towards identifying opportunities for improvement

INTRODUCTION

Cardiac complications (CC) after injury are rare but contribute disproportionately to mortality. Variability in rates of CC and failure to rescue (FTR) after CC (FTR-C) within trauma systems may suggest opportunities for improvement, but we have not yet demonstrated the ability to identify high and low performers. We examined center-level rates of CC and FTR-C in a mature trauma system with the hypothesis that high-performing centers for each of these outcomes could be identified.

METHODS

Using a statewide trauma registry from 2007-2015, we developed multivariable logistic regression models on CC and FTR-C including patient demographics, physiology, comorbidity, and injury data. Predicted probabilities of each outcome were summed to generate expected event rates, which were compared to observed event rates to generate centerlevel observed-to-expected (O:E) ratios. We measured internal consistency between CC and FTR-C for centers using Cronbach's alpha.

RESULTS

Cardiac complications occurred in 5,079/278,042 (1.8%; center-level range: 0.9-3.8%) of included patients (median age 55 (IQR 34-76), 84% Caucasian, 60% male, 92% blunt, median ISS 9 (IQR5-16)). Death after CC occurred in 982/5,097 patients for an FTR-C rate of 19.3% (center-level range: 7.8-30.4%). 10/27 centers were high-performers (95% confidence interval for O:E ratio <1) for CC and 2/27 centers were high-performers for FTR-C, but internal consistency between these metrics was poor (alpha = 0.31).

CONCLUSION

Rates of CC and FTR-C vary significantly between hospitals in mature trauma systems but high-performing centers can be identified. Inconsistent performance between metrics suggests unknown institutional factors underlie performance for CC and FTR.

Number and Type of Complications Associated With Failure to Rescue in Trauma Patients

BACKGROUND

Failure to rescue (FTR) is becoming a ubiquitous metric of quality care. The aim of our study is to determine the type and number of complications associated with FTR after trauma.

METHODS

We reviewed the Trauma Quality Improvement Program including patients who developed complications after admission. Patients were divided as the following: "FTR" if the patient died or "rescued" if the patient did not die. Logistic regression was used to ascertain the effect of the type and number of complications on FTR.

RESULTS

A total of 25,754 patients were included with 972 identified as FTR. Logistic regression identified sepsis (odds ratio [OR] = 6.61 [4.72-9.27]), pneumonia (OR = 2.79 [2.15-3.64]), acute respiratory distress syndrome (OR = 4.6 [3.17-6.69]), and cardiovascular complications (OR = 24.22 [19.39-30.26]) as predictors of FTR. The odds ratio of FTR increased by 8.8 for every single increase in the number of complications.

CONCLUSIONS

Specific types of complications increase the odds of FTR. The overall complication burden will also increase the odds of FTR linearly.

LEVEL OF EVIDENCE

Level III Prognostic.

New automated analysis to monitor neutrophil function point-of-care in the intensive care unit after trauma

BACKGROUND

Patients often develop infectious complications after severe trauma. No biomarkers exist that enable early identification of patients who are at risk. Neutrophils are important immune cells that combat these infections by phagocytosis and killing of pathogens. Analysis of neutrophil function used to be laborious and was therefore not applicable in routine diagnostics. Hence, we developed a quick and point-of-care method to assess a critical part of neutrophil function, neutrophil phagosomal acidification. The aim of this study was to investigate whether this method was able to analyze neutrophil functionality in severely injured patients and whether a relation with the development of infectious complications was present.

RESULTS

Fifteen severely injured patients (median ISS of 33) were included, of whom 6 developed an infection between day 4 and day 9 after trauma. The injury severity score did not significantly differ between patients who developed an infection and patients who did not (p = 0.529). Patients who developed an infection showed increased acidification immediately after trauma (p = 0.006) and after 3 days (p = 0.026) and a decrease in the days thereafter to levels in the lower normal range. In contrast, patients who did not develop infectious complications showed high-normal acidification within the first days and increased tasset to identify patients at risk for infections after trauma and to monitor the inflammatory state of these trauma patients.

CONCLUSION

Neutrophil function can be measured in the ICU setting by rapid point-of-care analysis of phagosomal acidification. This analysis differed between trauma patients who developed infectious complications and trauma patients who did not. Therefore, this assay might prove a valuable asset to identify patients at risk for infections after trauma and to monitor the inflammatory state of these trauma patients.

TRIAL REGISTRATION

Central Committee on Research Involving Human Subjects, NL43279.041.13. Registered 14 February 2014. https://www.toetsingonline.nl/to/ccmo_search.nsf/Searchform?OpenForm.