Incidence of, Risk Factors for, and Mortality Associated With Severe Acute Kidney Injury After Gunshot Wound

Assessment of urine CCL2 as a potential diagnostic biomarker for acute kidney injury and septic acute kidney injury in intensive care unit patients

Acute kidney injury (AKI) is a prevalent and serious condition in the intensive care unit (ICU), associated with significant morbidity and mortality. Septic acute kidney injury (SAKI) contributes substantially to AKI cases in the ICU. However, current diagnostic methods have limitations, necessitating the exploration of novel biomarkers. In this study, we investigated the potential of plasma and urine CCL2 levels as diagnostic markers for AKI and SAKI in 216 ICU patients. Our findings revealed significant differences in plasma (p < 0.01) and urine CCL2 (p < 0.0001) levels between AKI and non-AKI patients in the ICU. Notably, urine CCL2 demonstrated promising predictive value for AKI, exhibiting high specificity and sensitivity (AUC = 0.8976; p < 0.0001). Furthermore, we observed higher urine CCL2 levels in SAKI compared to non-septic AKI (p < 0.001) and urine CCL2 could also differentiate SAKI from non-septic AKI (AUC = 0.7597; p < 0.0001). These results suggest that urine CCL2 levels hold promise as early biomarkers for AKI and SAKI, offering valuable insights for timely intervention and improved management of ICU patients.

Building an understanding of Ethnic minority people's Service Use Relating to Emergency care for injuries: the BE SURE study protocol

INTRODUCTION

Injuries are a major public health problem which can lead to disability or death. However, little is known about the incidence, presentation, management and outcomes of emergency care for patients with injuries among people from ethnic minorities in the UK. The aim of this study is to investigate what may differ for people from ethnic minorities compared with white British people when presenting with injury to ambulance and Emergency Departments (EDs).

METHODS AND ANALYSIS

This mixed methods study covers eight services, four ambulance services (three in England and one in Scotland) and four hospital EDs, located within each ambulance service. The study has five Work Packages (WP): (WP1) scoping review comparing mortality by ethnicity of people presenting with injury to emergency services; (WP2) retrospective analysis of linked NHS routine data from patients who present to ambulances or EDs with injury over 5 years (2016-2021); (WP3) postal questionnaire survey of 2000 patients (1000 patients from ethnic minorities and 1000 white British patients) who present with injury to ambulances or EDs including self-reported outcomes (measured by Quality of Care Monitor and Health Related Quality of Life measured by SF-12); (WP4) qualitative interviews with patients from ethnic minorities (n=40) and focus groups-four with asylum seekers and refugees and four with care providers and (WP5) a synthesis of quantitative and qualitative findings.

ETHICS AND DISSEMINATION

This study received a favourable opinion by the Wales Research Ethics Committee (305391). The Health Research Authority has approved the study and, on advice from the Confidentiality Advisory Group, has supported the use of confidential patient information without consent for anonymised data. Results will be shared with ambulance and ED services, government bodies and third-sector organisations through direct communications summarising scientific conference proceedings and publications.

Failure to Rescue in Geriatric Trauma: The Impact of Any Complication Increases with Age and Injury Severity in Elderly Trauma Patients

INTRODUCTION

The interaction of increasing age, Injury Severity Score (ISS), and complications is not well described in geriatric trauma patients. We hypothesized that failure to rescue rate from any complication worsens with age and injury severity.

METHODS

The National Trauma Data Bank (NTDB) was queried for injured patients aged 65 years or older from January 1, 2013 through December 31, 2016. Demographics and injury characteristics were used to compare groups. Mortality rates were calculated across subgroups of age and ISS, and captured with heatmaps. Multivariable logistic regression was performed to identify independent predictors of mortality.

RESULTS

614,496 geriatric trauma patients were included; 151,880 (24.7%) experienced a complication. Those with complications tended to be older, female, non-white, have non-blunt mechanism, higher ISS, and hypotension on arrival. Overall mortality was highest (19%) in the oldest (≥86 years old) and most severely injured (ISS ≥ 25) patients, with constant age increasing across each ISS group was associated with a 157% increase in overall mortality (P < .001, 95% CI: 148-167%). Holding ISS stable, increasing age group was associated with a 48% increase in overall mortality (P < .001, 95% CI: 44-52%). After controlling for standard demographic variables at presentation, the existence of any complication was an independent predictor of overall mortality in geriatric patients (OR: 2.3; 95% CI: 2.2-2.4).

CONCLUSIONS

Any complication was an independent risk factor for mortality, and scaled with increasing age and ISS in geriatric patients. Differences in failure to rescue between populations may reflect critical differences in physiologic vulnerability that could represent targets for interventions.

Estimated glomerular filtration rate may be an independent predictor for clinical outcomes regardless of acute kidney injury complication in the emergency department

Study objective

Acute kidney injury (AKI), chronic kidney disease (CKD), and decreased estimated glomerular filtration rate (eGFR) are all associated with poor clinical outcomes among emergency department (ED) patients. This study aimed to evaluate the effect of different types of renal dysfunction and the degree of eGFR reduction on the clinical outcomes in a real-world ED setting.

Methods

Adult patients with an eGFR lower than 60 mL/min/1.73m² in our ED, from October 1, 2016, to December 31, 2016, were enrolled in this retrospective observational study. Besides AKI and CKD, patients with unknown baseline renal function before an ED visit were categorized in the undetermined renal dysfunction (URD) category.

Results

Among 1495 patients who had eGFR evaluation at ED, this study finally enrolled 441 patients; 22 patients (5.0%) had AKI only, 32 (7.3%) had AKI on CKD, 196 (44.4%) had CKD only, 27 (6.1%) had subclinical kidney injury (those who met neither criteria for AKI nor CKD), and 164 (37.2%) had URD. There was a significant association between eGFR and critical illness defined as the composite outcome of death or intensive care unit (ICU) need, hospitalization, ICU need, death, and renal replacement therapy need (odds ratio [95% confidence interval]: 1.72 [1.45–2.05], 1.36 [1.16–1.59], 1.66 [1.39–2.00], 1.73 [1.32–2.28], and 2.71 [1.73–4.24] for every 10 mL/min/1.73m² of reduction, respectively). Multivariate logistic regression analysis showed eGFR was an independent predictor of critical illness composite outcome (death or ICU need), hospitalization, and ICU need even after adjustment with AKI or URD.

Conclusions

Estimated GFR may be a sufficient predictor of clinical outcomes of ED patients regardless of AKI complication. Considerable ED patients were determined as URD, which might have a significant impact on the ED statistics regarding renal dysfunction.

Development of mortality prediction model in the elderly hospitalized AKI patients

Acute kidney injury (AKI) correlates with increased health-care costs and poor outcomes in older adults. However, there is no good scoring system to predict mortality within 30-day, 1-year after AKI in older adults. We performed a retrospective analysis screening data of 53,944 hospitalized elderly patients (age > 65 years) from multi-centers in China. 944 patients with AKI (acute kidney disease) were included and followed up for 1 year. Multivariable regression analysis was used for developing scoring models in the test group (a randomly 70% of all the patients). The established models have been verified in the validation group (a randomly 30% of all the patients). Model 1 that consisted of the risk factors for death within 30 days after AKI had accurate discrimination (The area under the receiver operating characteristic curves, AUROC: 0.90 (95% CI 0.875–0.932)) in the test group, and performed well in the validation groups (AUROC: 0.907 (95% CI 0.865–0.949)). The scoring formula of all-cause death within 1 year (model 2) is a seven-variable model including AKI type, solid tumor, renal replacement therapy, acute myocardial infarction, mechanical ventilation, the number of organ failures, and proteinuria. The area under the receiver operating characteristic (AUROC) curves of model 2 was > 0.80 both in the test and validation groups. Our newly established risk models can well predict the risk of all-cause death in older hospitalized AKI patients within 30 days or 1 year.

Impact of Frailty on Morbidity and Mortality in Adult Patients Presenting with an Acute Traumatic Cervical Spinal Cord Injury

OBJECTIVE

The aim of this study was to determine if baseline frailty was an independent predictor of adverse events (AEs) and in-hospital mortality in patients being treated for acute cervical spinal cord injury (SCI).

METHODS

A retrospective cohort study was performed using the National Trauma Database (NTDB) from 2017. Adult patients (>18 years old) with acute cervical SCI were identified using the International Classification of Diseases, Tenth Revision, Clinical Modification diagnostic and procedural coding systems. Patients were categorized into 3 cohorts based on the criteria of the 5-item modified frailty index (mFI-5): mFI = 0, mFI = 1, or mFI≥2. Patient demographics, comorbidities, type of injury, diagnostic and treatment modality, AEs, and in-patient mortality were assessed. A multivariate logistic regression analysis was used to identify independent predictors of in-hospital AEs and mortality.

RESULTS

Of 8986 patients identified, 4990 (55.5%) were classified as mFI = 0, 2328 (26%) as mFI = 1, and 1668 (18.5%) as mFI≥2. On average, the mFI≥2 cohort was 5 years older than the mFI = 1 cohort and 22 years older than the mFI = 0 cohort (P < 0.001). Most patients in each cohort sustained either complete SCI or central cord syndrome after a fall or transport accident (mFI = 0, 77.31% vs. mFI = 1, 89.5% vs. mFI≥2, 93.65%). With respect to in-hospital events, the proportion of patients who experienced any AE increased significantly along with frailty score (mFI = 0, 30.42% vs. mFI = 1, 31.74% vs. mFI≥2, 34.95%; P < 0.001). In-hospital mortality followed a similar trend, increasing with frailty score (mFI = 0, 10.53% vs. mFI = 1, 11.33% vs. mFI≥2, 16.23%; P < 0.001). On multivariate regression analysis, both mFI = 1 1.21 (odds ratio [OR], 1.21; 95% confidence interval [CI], 1.05-1.4; P = 0.008) and mFI≥2 (OR, 1.23; 95% CI, 1.05-1.45; P = 0.012) predicted AEs, whereas only mFI≥2 was found to be a predictor for in-hospital mortality (OR, 1.45; 95% CI, 1.14-1.83; P = 0.002).

CONCLUSIONS

Increasing frailty is associated with an increased risk of AEs and in-hospital mortality in patients undergoing treatment for cervical SCI.

Enhancing Military Burn- and Trauma-Related Acute Kidney Injury Prediction Through an Automated Machine Learning Platform and Point-of-Care Testing

CONTEXT.—

Delayed recognition of acute kidney injury (AKI) results in poor outcomes in military and civilian burn-trauma care. Poor predictive ability of urine output (UOP) and creatinine contribute to the delayed recognition of AKI.

OBJECTIVE.—

To determine the impact of point-of-care (POC) AKI biomarker enhanced by machine learning (ML) algorithms in burn-injured and trauma patients.

DESIGN.—

We conducted a 2-phased study to develop and validate a novel POC device for measuring neutrophil gelatinase-associated lipocalin (NGAL) and creatinine from blood samples. In phase I, 40 remnant plasma samples were used to evaluate the analytic performance of the POC device. Next, phase II enrolled 125 adults with either burns that were 20% or greater of total body surface area or nonburn trauma with suspicion of AKI for clinical validation. We applied an automated ML approach to develop models predicting AKI, using a combination of NGAL, creatinine, and/or UOP as features.

RESULTS.—

Point-of-care NGAL (mean [SD] bias: 9.8 [38.5] ng/mL, P = .10) and creatinine results (mean [SD] bias: 0.28 [0.30] mg/dL, P = .18) were comparable to the reference method. NGAL was an independent predictor of AKI (odds ratio, 1.6; 95% CI, 0.08-5.20; P = .01). The optimal ML model achieved an accuracy, sensitivity, and specificity of 96%, 92.3%, and 97.7%, respectively, with NGAL, creatinine, and UOP as features. Area under the receiver operator curve was 0.96.

CONCLUSIONS.—

Point-of-care NGAL testing is feasible and produces results comparable to reference methods. Machine learning enhanced the predictive performance of AKI biomarkers including NGAL and was superior to the current techniques.

Association of gender, age, and race on renal outcomes and mortality in patients with severe sepsis and septic shock

BACKGROUND

The association of age, gender and race with renal outcomes in patients with severe sepsis and septic shock (SEP) is not completely elucidated. We aimed to shed light on these relationships.

METHODS

We performed a retrospective cohort study of hospitalized patients in the USA discharged between January 1st, 2005 and December 31st, 2014 using the National Inpatient Sample. We adjusted analyses using the Charlson comorbidity index.

RESULTS

65,772,607 records were included of which 1,064,790 had SEP. There were 60% female and 12% African American (AA). The incidence of SEP was 1.6% and patients with SEP were older, had more AA and less females. Acute kidney injury (AKI) and mortality among patients with SEP were 62% and 30.7% respectively. AA race was associated with increased risk of SEP, AKI and dialysis, (OR = 1.12, 1.25 and 1.7 respectively, all p < 0.001). Female gender was associated with lower risk of all measured outcomes with odds ratios ranging from 0.65 to 0.78 (p < 0.001). Increasing age was associated with a higher risk of all outcomes except for dialysis.

CONCLUSION

Female gender is associated with a lower risk of poor renal outcomes and death among patients with SEP, while AA race places patients at higher risk of poor outcomes in that setting. Increasing age is generally associated with adverse outcomes.