Centiles for the shock index among injured children in the prehospital setting.

OBJECTIVE: The shock index (SI), the ratio of heart rate to systolic blood pressure, is a clinical tool for assessing injury severity. Age-adjusted SI models may improve predictive value for injured children in the out-of-hospital setting. We sought to characterize the proportion of children in the prehospital setting with an abnormal SI using established criteria, describe the age-based distribution of SI among injured children, and determine prehospital interventions by SI. METHODS: We performed a multi-agency retrospective cross-sectional study of children (<18 years) in the prehospital setting with a scene encounter for suspected trauma and transported to the hospital between 2018 and 2022 using the National Emergency Medical Services (EMS) Information System datasets. Our exposure of interest was the first calculated SI. We identified the proportion of children with an abnormal SI when using the SI, pediatric age-adjusted (SIPA); and the pediatric SI (PSI) criteria. We developed and internally validated an age-based distributional model for the SI using generalized additive models for location, scale, and shape to describe the age-based distribution of the SI as a centile or Z-score. We evaluated EMS interventions (basic airway interventions, advanced airway interventions, cardiac interventions, vascular access, intravenous fluids, and vasopressor use) in relation to both the SIPA, PSI, and distributional SI values. RESULTS: We analyzed 1,007,863 pediatric EMS trauma encounters (55.0% male, median age 13 years [IQR, 8-16 years]). The most common dispatch complaint was for traffic/transport related injury (32.9%). When using the PSI and SIPA, 13.1% and 16.3% were classified as having an abnormal SI, respectively. There were broad differences in the percentage of encounters classified as having an abnormal SI across the age range, varying from 5.1 to 22.8% for SIPA and 3.7-20.1% for PSI. The SIPA values ranged from the 75th to 95th centiles, while the PSI corresponded to an SI greater than the 90th centile, except in older children. The centile distribution for SI declined during early childhood and stabilized during adolescence and demonstrated a difference of <0.1% at cutoff values. An abnormal PSI, SIPA and higher SI centiles (>90th centile and >95th centiles) were associated with interventions related to basic and advanced airway management, cardiac procedures, vascular access, and provision of intravenous fluids occurred with greater frequency at higher SI centiles. Some procedures, including airway management and vascular access, had a smaller peak at lower (<10th) centiles. DISCUSSION: We describe the empiric distribution of the pediatric SI across the age range, which may overcome limitations of extant criteria in identifying patients with shock in the prehospital setting. Both high and low SI values were associated with important, potentially lifesaving EMS interventions. Future work may allow for more precise identification of children with significant injury using cutpoint analysis paired to outcome-based criteria. These may additionally be combined with other physiologic and mechanistic criteria to assist in triage decisions.

Comparison of Vital Sign Cutoffs to Identify Children With Major Trauma.

Importance: Vital signs are essential components in the triage of injured children. The Advanced Trauma Life Support (ATLS) and Pediatric Advanced Life Support (PALS) physiologic criteria are frequently used for trauma assessments. Objective: To evaluate the performance of ATLS and PALS criteria vs empirically derived criteria for identifying major trauma in children. Design, Setting, and Participants: This retrospective cohort study used 2021 American College of Surgeons Trauma Quality Improvement Program (TQIP) data contributed by US trauma centers. Included encounters involved pediatric patients (aged <18 years) with severe injury, excluding those who experienced out-of-hospital cardiac arrest, were receiving mechanical ventilation, or were transferred from another facility. Data were analyzed between April 9 and December 21, 2023. Exposure: Initial hospital vital signs, including heart rate, respiratory rate, and systolic blood pressure (SBP). Main Outcome and Measures: Major trauma, determined by the Standard Triage Assessment Tool, a composite measure of injury severity and interventions performed. Multivariable models developed from PALS and ATLS vital sign criteria were compared with models developed from the empirically derived criteria using the area under the receiver operating characteristic curve. Validation of the findings was performed using the 2019 TQIP dataset. Results: A total of 70 748 patients (median [IQR] age, 11 [5-15] years; 63.4% male) were included, of whom 3223 (4.6%) had major trauma. The PALS criteria classified 31.0% of heart rates, 25.7% of respiratory rates, and 57.4% of SBPs as abnormal. The ATLS criteria classified 25.3% of heart rates, 4.3% of respiratory rates, and 1.1% of SBPs as abnormal. Among children with all 3 vital signs documented (64 326 [90.9%]), PALS had a sensitivity of 88.4% (95% CI, 87.1%-89.3%) and specificity of 25.1% (95% CI, 24.7%-25.4%) for identifying major trauma, and ATLS had a sensitivity of 54.5% (95% CI, 52.7%-56.2%) and specificity of 72.9% (95% CI, 72.6%-73.3%). The empirically derived cutoff vital sign z scores had a sensitivity of 80.0% (95% CI, 78.5%-81.3%) and specificity of 48.7% (95% CI, 48.3%-49.1%) and area under the receiver operating characteristic curve of 70.9% (95% CI, 69.9%-71.8%), which was similar to PALS criteria (69.6%; 95% CI, 68.6%-70.6%) and greater than ATLS criteria (65.4%; 95% CI, 64.4%-66.3%). Validation using the 2019 TQIP database showed similar performance to the derivation sample. Conclusions and Relevance: These findings suggest that empirically derived vital sign criteria strike a balance between the sensitivity of PALS criteria and the specificity of ATLS criteria in identifying major trauma in children. These criteria may help to identify children at greatest risk of trauma-related morbidity and mortality.

External Validation of Empirically Derived Vital Signs in Children and Comparison to Other Vital Signs Classification Criteria.

OBJECTIVE: Various vital sign ranges for pediatric patients have differing utility in identifying children with serious illness or injury requiring immediate intervention. While commonly used ranges are derived from samples of healthy children, limited research has explored the utility of those derived from real-world encounters by emergency medical services (EMS). We first sought to externally validate pediatric vital sign ranges empirically derived from the prehospital setting. Second, we compared the proportion of children who received prehospital interventions using current common classification systems versus empirically derived vital sign ranges. METHODS: We retrospectively reviewed pediatric (<18 years) prehospital records from the 2021 ESO Collaborative dataset. We compared the proportions of encounters having vital signs (heart rate, respiratory rate, and systolic blood pressure) at the cutoffs of >99th, >95th, >90th, <10th, <5th and <1st centiles to previously reported centiles derived from EMS encounters in 2019-2020. We compared the deviation of mean Z-score by age between data sources. We identified the proportion of encounters with extreme (defined as <10th or >90th centile) vital signs who received prehospital interventions for the empirically derived criteria to six other classification criteria. RESULTS: 510,414 encounters were included, of which 66.9% were for medical indications and 70.7% resulted in hospital transport. The study sample had similar proportions of encounters identified at studied cutoffs compared to the previously published derivation sample, with all differences in proportions ≤1.1% between samples. All mean Z-scores were within 0.2 standard deviations of those from the derivation sample for each vital sign. Using empirically derived criteria, 34.2% had at least one extreme vital sign, compared to 69.1% with Pediatric Advanced Life Support criteria. Empirically derived extreme vital signs identified a higher proportion of children requiring most prehospital interventions compared to other vital signs criteria. CONCLUSION: Previously published empirically derived centiles for pediatric prehospital vital signs were replicated in this large multi-agency dataset. Compared to commonly used vital sign ranges, empirically derived criteria identified a higher proportion of children who received key prehospital interventions. Future steps include evaluating the role of these criteria in predictive models for in-hospital outcomes.

Establishing outcome-driven vital signs ranges for children in the prehospital setting.

BACKGROUND: Vital signs are frequently used in pediatric prehospital assessments and guide protocol utilization. Common pediatric vital sign classification criteria identify >80% of children in the prehospital setting as having abnormal vital signs, though few receive lifesaving interventions (LSIs). We sought to identify data-driven thresholds for abnormal vital signs by evaluating their association with prehospital LSIs. METHODS: We evaluated prehospital care records for children (<18 years) transported to the hospital during 2022 from a large, national repository of emergency medical services (EMS) patient encounters. Predictors of interest were heart rate (HR), respiratory rate (RR), systolic blood pressure (SBP), and pulse oximetry. HR, RR, and SBP were converted to Z-scores using age-based distributional models. Our outcome was potential LSIs, defined as performance of selected respiratory procedures, resuscitative interventions, or medication administrations. Using cut point analysis, we identified higher specificity (maximal specificity with a minimum of 25% sensitivity) and higher sensitivity (maximal sensitivity with a minimum of 25% specificity) ranges for each vital sign and evaluated measures of diagnostic accuracy. RESULTS: We included 987,515 children (median age 10 years, IQR 2-15 years). An LSI occurred in 4.3% (2.1% with respiratory procedures, 1.2% with resuscitative interventions, and 2.0% with medication administration). HR, RR, and SBP demonstrated a U-shaped association with LSIs. Specificities ranged from 84.1% to 93.7% for higher specificity criteria, with RR demonstrating the best performance (sensitivity 84.6%, specificity 27.0%). Sensitivities ranged from 62.3% to 84.4% for higher sensitivity criteria. CONCLUSIONS: Cut points for pediatric vital signs were associated with LSIs. Specific age-adjusted ranges can identify children at higher and lower risk for receipt of LSI. These ranges may be combined with other objective measures to improve the assessment of children in the prehospital setting, assist in optimizing protocol utilization, improve transport decision making, and guide destination selection.

Correlation of vital sign centiles with in-hospital outcomes among adults encountered by emergency medical services.

BACKGROUND: Vital signs are a critical component of the prehospital assessment. Prior work has suggested that vital signs may vary in their distribution by age. These differences in vital signs may have implications on in-hospital outcomes or be utilized within prediction models. We sought to (1) identify empirically derived (unadjusted) cut points for vital signs for adult patients encountered by emergency medical services (EMS), (2) evaluate differences in age-adjusted cutoffs for vital signs in this population, and (3) evaluate unadjusted and age-adjusted vital signs measures with in-hospital outcomes. METHODS: We used two multiagency EMS data sets to derive (National EMS Information System from 2018) and assess agreement (ESO, Inc., from 2019 to 2021) of vital signs cutoffs among adult EMS encounters. We compared unadjusted to age-adjusted cutoffs. For encounters within the ESO sample that had in-hospital data, we compared the association of unadjusted cutoffs and age-adjusted cutoffs with hospitalization and in-hospital mortality. RESULTS: We included 13,405,858 and 18,682,684 encounters in the derivation and validation samples, respectively. Both extremely high and extremely low vital signs demonstrated stepwise increases in admission and in-hospital mortality. When evaluating age-based centiles with vital signs, a gradual decline was noted at all extremes of heart rate (HR) with increasing age. Extremes of systolic blood pressure at upper and lower margins were greater in older age groups relative to younger age groups. Respiratory rate (RR) cut points were similar for all adult age groups. Compared to unadjusted vital signs, age-adjusted vital signs had slightly increased accuracy for HR and RR but lower accuracy for SBP for outcomes of mortality and hospitalization. CONCLUSIONS: We describe cut points for vital signs for adults in the out-of-hospital setting that are associated with both mortality and hospitalization. While we found age-based differences in vital signs cutoffs, this adjustment only slightly improved model performance for in-hospital outcomes.

Age-based centiles for diastolic blood pressure among children in the out-of-hospital emergency setting.

Objective: To compare Pediatric Advanced Life Support (PALS) diastolic blood pressure (DBP) criteria to empirically derived DBP criteria for the prediction of out-of-hospital interventions in children. Methods: We performed a retrospective study of pediatric (<18 years) encounters from the ESO Data Collaborative, which includes approximately 2000 Emergency Medical Services agencies in the United States. We developed age-based centile curves for DBP using generalized additive models for location, scale, and shape. We compared the proportion of encounters with a low DBP when using empirically derived and PALS criteria and calculated their associations with the delivery of out-of-hospital interventions (advanced airway management, cardiopulmonary resuscitation, cardiac epinephrine, any systemic epinephrine, defibrillation, and bolus intravenous fluids). Results: We included 343,129 encounters. When using PALS criteria, 155,564 (45.3%) were classified as having  abnormal DBP, including 120,624 (35.2%) with high DBP and 34,940 (10.2%) with low DBP. When using empirically-derived criteria, 18.6% had an abnormal DBP (ie, a DBP <10th or >90th centile). The accuracy of low DBP for out-of-hospital interventions between the two criteria was similar. Conclusion: PALS criteria for DBP classified a high proportion of children as having abnormal vital signs, particularly with diastolic hypertension. Empirically derived DBP thresholds more accurately predict the delivery of key out-of-hospital interventions. If externally validated, correlated to in-hospital outcomes, and combined with thresholds for other vital signs, these may better predict the need for out-of-hospital interventions.

Optimizing Recognition and Management of Patients at Risk for Infection-Related Decompensation Through Team-Based Decision Making.

INTRODUCTION: Pediatric sepsis is a leading cause of death among children. Electronic alert systems may improve early recognition but do not consistently result in timely interventions given the multitude of clinical presentations, lack of treatment consensus, standardized order sets, and inadequate interdisciplinary team-based communication. We conducted a quality improvement project to improve timely critical treatment of patients at risk for infection-related decompensation (IRD) through team-based communication and standardized treatment workflow. METHODS: We evaluated children at risk for IRD as evidenced by the activation of an electronic alert system (Children at High Risk Alert Tool [CAHR-AT]) in the emergency department. Outcomes were assessed after multiple improvements including CAHR-AT implementation, clinical coassessment, visual cues for situational awareness, huddles, and standardized order sets. RESULTS: With visual cue activation, initial huddle compliance increased from 7.8% to 65.3% ( p < .001). Children receiving antibiotics by 3 hours postactivation increased from 37.9% pre-CAHR-AT to 50.7% posthuddle implementation ( p < .0001); patients who received a fluid bolus by 3 hours post-CAHR activation increased from 49.0% to 55.2% ( p = .001). CONCLUSIONS: Implementing a well-validated electronic alert tool did not improve quality measures of timely treatment for high-risk patients until combined with team-based communication, standardized reassessment, and treatment workflow.

Empirically Derived Age-Based Vital Signs for Children in the Out-of-Hospital Setting.

STUDY OBJECTIVE: To compare Pediatric Advanced Life Support (PALS) vital signs criteria to empirically derived vital signs cut-points for predicting out-of-hospital interventions in children. METHODS: We performed a cross-sectional study of pediatric encounters (<18 years) using the 2019 to 2020 datasets of the National Emergency Medical Services Information System, which we randomly divided into equal size derivation and validation samples. We developed age-based centile curves for initial heart rate, respiratory rate, and systolic blood pressure using generalized additive models for location, scale, and shape, which we evaluated in the validation sample. In addition, we compared the proportion of encounters with at least 1 abnormal vital sign when using empirically derived and PALS criteria and calculated their associations with the delivery of out-of-hospital medical interventions (eg, vascular access, medication delivery, or airway maneuvers). RESULTS: We included 3,704,398 encounters. Among encounters with all 3 vital signs recorded (n=2,595,217), 45.9% had at least 1 abnormal vital sign using empirically derived criteria and 75.6% with PALS derived criteria. A higher proportion of encounters with a heart rate, respiratory rate, or systolic blood pressure less than 10th or more than 90th age-based empirically derived percentile had medical interventions than those with abnormal vital signs using PALS criteria. CONCLUSION: PALS criteria classified a high proportion of children as having abnormal vital signs. Empirically derived vital signs developed from out-of-hospital encounters more accurately predict the delivery of the out-of-hospital medical interventions. If externally validated and correlated to inhospital outcomes, these cut-points may provide a useful assessment tool for children in the out-of-hospital setting.

Identifying children at high risk for infection-related decompensation using a predictive emergency department-based electronic assessment tool.

OBJECTIVES: Electronic alert systems to identify potential sepsis in children presenting to the emergency department (ED) often either alert too frequently or fail to detect earlier stages of decompensation where timely treatment might prevent serious outcomes. METHODS: We created a predictive tool that continuously monitors our hospital's electronic health record during ED visits. The tool incorporates new standards for normal/abnormal vital signs based on data from ∼1.2 million children at 169 hospitals. Eighty-two gold standard (GS) sepsis cases arising within 48 h were identified through retrospective chart review of cases sampled from 35,586 ED visits during 2012 and 2014-2015. An additional 1,027 cases with high severity of illness (SOI) based on 3 M's All Patient Refined - Diagnosis-Related Groups (APR-DRG) were identified from these and 26,026 additional visits during 2017. An iterative process assigned weights to main factors and interactions significantly associated with GS cases, creating an overall "score" that maximized the sensitivity for GS cases and positive predictive value for high SOI outcomes. RESULTS: Tool implementation began August 2017; subsequent improvements resulted in 77% sensitivity for identifying GS sepsis within 48 h, 22.5% positive predictive value for major/extreme SOI outcomes, and 2% overall firing rate of ED patients. The incidence of high-severity outcomes increased rapidly with tool score. Admitted alert positive patients were hospitalized nearly twice as long as alert negative patients. CONCLUSIONS: Our ED-based electronic tool combines high sensitivity in predicting GS sepsis, high predictive value for physiologic decompensation, and a low firing rate. The tool can help optimize critical treatments for these high-risk children.

Pediatric Vital Sign Distribution Derived From a Multi-Centered Emergency Department Database.

BACKGROUND: We hypothesized that current vital sign thresholds used in pediatric emergency department (ED) screening tools do not reflect observed vital signs in this population. We analyzed a large multi-centered database to develop heart rate (HR) and respiratory rate centile rankings and z-scores that could be incorporated into electronic health record ED screening tools and we compared our derived centiles to previously published centiles and Pediatric Advanced Life Support (PALS) vital sign thresholds. METHODS: Initial HR and respiratory rate data entered into the Cerner™ electronic health record at 169 participating hospitals' ED over 5 years (2009 through 2013) as part of routine care were analyzed. Analysis was restricted to non-admitted children (0 to <18 years). Centile curves and z-scores were developed using generalized additive models for location, scale, and shape. A split-sample validation using two-thirds of the sample was compared with the remaining one-third. Centile values were compared with results from previous studies and guidelines. RESULTS: HR and RR centiles and z-scores were determined from ~1.2 million records. Empirical 95th centiles for HR and respiratory rate were higher than previously published results and both deviated from PALS guideline recommendations. CONCLUSION: Heart and respiratory rate centiles derived from a large real-world non-hospitalized ED pediatric population can inform the modification of electronic and paper-based screening tools to stratify children by the degree of deviation from normal for age rather than dichotomizing children into groups having "normal" versus "abnormal" vital signs. Furthermore, these centiles also may be useful in paper-based screening tools and bedside alarm limits for children in areas other than the ED and may establish improved alarm limits for bedside monitors.

Clinical risk factors for central line-associated venous thrombosis in children.

BACKGROUND: Identifying risk factors related to central venous line (CVL) placement could potentially minimize central line-associated venous thrombosis (CLAVT). We sought to identify the clinical factors associated with CLAVT in children. METHODS: Over a 3-year period, 3733 CVLs were placed at a tertiary-care children's hospital. Data were extracted from the electronic medical records of patients with clinical signs and symptoms of venous thromboembolism, diagnosed using Doppler ultrasonography and/or echocardiography. Statistical analyses examined differences in CLAVT occurrence between groups based on patient and CVL characteristics (type, brand, placement site, and hospital unit). RESULTS: Femoral CVL placement was associated with greater risk for developing CLAVT (OR 11.1, 95% CI 3.9-31.6, p < 0.0001). CVLs placed in the NICU were also associated with increased CLAVT occurrence (OR 5.3, 95% CI 2.1-13.2, p = 0.0003). CVL brand was also significantly associated with risk of CLAVT events. CONCLUSION: Retrospective analyses identified femoral CVL placement and catheter type as independent risk factors for CLAVT, suggesting increased risks due to mechanical reasons. Placement of CVLs in the NICU also led to an increased risk of CLAVT, suggesting that small infants are at increased risk of thrombotic events. Alternative strategies for CVL placement, thromboprophylaxis, and earlier diagnosis may be important for reducing CLAVT events.

Pediatric intensive care unit mortality among Latino children before and after a multilevel health care delivery intervention.

IMPORTANCE: Research on health equity has focused on documenting health care disparities or understanding factors leading to disparities, but limited efforts have focused on reducing health care disparities in children. Latino children have increased prevalence of acute and chronic conditions; they have limited access and other barriers to high-quality health care, including intensive care. OBJECTIVE: To determine whether pediatric intensive care unit mortality can be reduced by a multilevel health care delivery intervention. DESIGN, SETTING, AND PARTICIPANTS: Observational study of factors associated with pediatric intensive care unit mortality at a tertiary care metropolitan children's hospital in Memphis, Tennessee. Participants were children younger than 18 years discharged from the pediatric intensive care unit during the 3-year preintervention period of 2007 to 2009 (n = 3891) and 3-year postintervention period of 2010 to 2012 (n = 4179). INTERVENTIONS: Multilevel health care intervention to address the increased odds of mortality among Latino children. MAIN OUTCOMES AND MEASURES: The odds of mortality were analyzed over the 3-year preintervention period (2007-2009) using multivariable logistic regressions to control for age, sex, race/ethnicity, severity of illness, major diagnostic categories, diagnosed infections, and insurance status. Data from the postintervention period (2010-2012) were analyzed similarly to measure the effect of changes in health care delivery. RESULTS: Unadjusted mortality rates for white, African American, and Latino children in 2007 to 2009 were 3.3%, 3.3%, and 8.6%, respectively. After controlling for covariates, no differences in the odds of mortality were observed between white children and African American children (odds ratio [OR], 1.0; 95% CI, 0.6-1.7; P = .97), but Latino children had 3.7-fold (95% CI, 1.8-7.5; P < .001) higher odds of mortality. A multilevel and multidisciplinary intervention was launched to address these differences. In the postintervention period, unadjusted mortality rates for white, African American, and Latino children were 3.6%, 3.2%, and 4.0%, respectively, with no differences observed after adjustment for covariates (OR, 0.7; 95% CI, 0.2-2.1; P = .49). The odds of mortality decreased between the preintervention period and postintervention period for Latino children (OR, 0.24; 95% CI, 0.06-0.88; P = .03) but remained unchanged for white and African American children (OR, 1.02; 95% CI, 0.73-1.43; P = .90). CONCLUSIONS AND RELEVANCE: Latino children had higher odds of mortality, even after controlling for age, sex, severity of illness, insurance status, and other covariates. These differences disappeared after culturally and linguistically sensitive interventions at multiple levels. Local multilevel interventions can reduce the effect of health care inequities on clinical outcomes, without requiring major changes in health care policy.

Designing a pediatric severe sepsis screening tool.

We sought to create a screening tool with improved predictive value for pediatric severe sepsis (SS) and septic shock that can be incorporated into the electronic medical record and actively screen all patients arriving at a pediatric emergency department (ED). "Gold standard" SS cases were identified using a combination of coded discharge diagnosis and physician chart review from 7,402 children who visited a pediatric ED over 2 months. The tool's identification of SS was initially based on International Consensus Conference on Pediatric Sepsis (ICCPS) parameters that were refined by an iterative, virtual process that allowed us to propose successive changes in sepsis detection parameters in order to optimize the tool's predictive value based on receiver operating characteristics (ROC). Age-specific normal and abnormal values for heart rate (HR) and respiratory rate (RR) were empirically derived from 143,603 children seen in a second pediatric ED over 3 years. Univariate analyses were performed for each measure in the tool to assess its association with SS and to characterize it as an "early" or "late" indicator of SS. A split-sample was used to validate the final, optimized tool. The final tool incorporated age-specific thresholds for abnormal HR and RR and employed a linear temperature correction for each category. The final tool's positive predictive value was 48.7%, a significant, nearly threefold improvement over the original ICCPS tool. False positive systemic inflammatory response syndrome identifications were nearly sixfold lower.

Fracture risk in men with congestive heart failure risk reduction with spironolactone.

OBJECTIVES: The purpose of this study was to determine whether spironolactone use is associated with fractures in men with congestive heart failure (CHF). BACKGROUND: In rats with aldosteronism, spironolactone preserves skeletal strength. However, in humans, the relationship of spironolactone to fractures is not known. METHODS: The medical records of all male patients with CHF from 1999 to 2005 treated at the Veterans Affairs Medical Center, Memphis, Tennessee, were reviewed (n = 4,735). Odds ratios with 95% confidence intervals of having a fracture associated with spironolactone use were estimated using conditional logistic regression. RESULTS: We identified 167 cases with a single-incident fracture and matched these by age and race to 668 control subjects without fractures. After adjustment for covariates, spironolactone use was inversely associated with total fracture (odds ratio: 0.575; 95% confidence interval: 0.346 to 0.955, p = 0.0324). CONCLUSIONS: The use of spironolactone is inversely associated with fractures in men with CHF.