ABSTRACT
BACKGROUND: There is broad consensus that resuscitated out-of-hospital cardiac arrest (OHCA) patients with ST-segment elevation myocardial infarction (STEMI) should receive immediate coronary angiography (CAG); however, factors that guide patient selection and optimal timing of CAG for post-arrest patients without evidence of STEMI remain incompletely described. OBJECTIVE: We sought to describe the timing of post-arrest CAG in actual practice, patient characteristics associated with decision to perform immediate vs. delayed CAG, and patient outcomes after CAG. METHODS: We conducted a retrospective cohort study at seven U.S. academic hospitals. Resuscitated adult patients with OHCA were included if they presented between January 1, 2015 and December 31, 2019 and received CAG during hospitalization. Emergency medical services run sheets and hospital records were analyzed. Patients without evidence of STEMI were grouped and compared based on time from arrival to CAG performance into "early" (≤ 6 h) and "delayed" (> 6 h). RESULTS: Two hundred twenty-one patients were included. Median time to CAG was 18.6 h (interquartile range [IQR] 1.5-94.6 h). Early catheterization was performed on 94 patients (42.5%) and delayed catheterization was performed on 127 patients (57.5%). Patients in the early group were older (61 years [IQR 55-70 years] vs. 57 years [IQR 47-65] years) and more likely to be male (79.8% vs. 59.8%). Those in the early group were more likely to have clinically significant lesions (58.5% vs. 39.4%) and receive revascularization (41.5% vs. 19.7%). Patients were more likely to die in the early group (47.9% vs. 33.1%). Among survivors, there was no significant difference in neurologic recovery at discharge. CONCLUSIONS: OHCA patients without evidence of STEMI who received early CAG were older and more likely to be male. This group was more likely to have intervenable lesions and receive revascularization.
Subject(s)
Cardiopulmonary Resuscitation , Out-of-Hospital Cardiac Arrest , Percutaneous Coronary Intervention , ST Elevation Myocardial Infarction , Adult , Humans , Male , Female , Coronary Angiography , Out-of-Hospital Cardiac Arrest/complications , ST Elevation Myocardial Infarction/complications , Retrospective Studies , RegistriesABSTRACT
BACKGROUND: Agreement regarding indications for vena cava filter (VCF) utilization in trauma patients has been in flux since the filter's introduction. As VCF technology and practice guidelines have evolved, the use of VCF in trauma patients has changed. This study examines variation in VCF placement among trauma centers. MATERIALS AND METHODS: A retrospective study was performed using data from the National Trauma Data Bank (2005-2014). Trauma centers were grouped according to whether they placed VCFs during the study period (VCF+/VCF-). A multivariable probit regression model was fit to predict the number of VCFs used among the VCF+ centers (the expected [E] number of VCF per center). The ratio of observed VCF placement (O) to expected VCFs (O:E) was computed and rank ordered to compare interfacility practice variation. RESULTS: In total, 65,482 VCFs were placed by 448 centers. Twenty centers (4.3%) placed no VCFs. The greatest predictors of VCF placement were deep vein thrombosis, spinal cord paralysis, and major procedure. The strongest negative predictor of VCF placement was admission during the year 2014. Among the VCF+ centers, O:E varied by nearly 500%. One hundred fifty centers had an O:E greater than one. One hundred sixty-nine centers had an O:E less than one. CONCLUSIONS: Substantial variation in practice is present in VCF placement. This variation cannot be explained only by the characteristics of the patients treated at these centers but could be also due to conflicting guidelines, changing evidence, decreasing reimbursement rates, or the culture of trauma centers.
Subject(s)
Equipment and Supplies Utilization/statistics & numerical data , Practice Patterns, Physicians'/statistics & numerical data , Trauma Centers/statistics & numerical data , Vena Cava Filters/statistics & numerical data , Wounds and Injuries/therapy , Adolescent , Adult , Databases, Factual/statistics & numerical data , Equipment and Supplies Utilization/economics , Equipment and Supplies Utilization/standards , Female , Humans , Male , Middle Aged , Practice Guidelines as Topic , Practice Patterns, Physicians'/standards , Pulmonary Embolism/etiology , Pulmonary Embolism/prevention & control , Reimbursement Mechanisms/standards , Reimbursement Mechanisms/statistics & numerical data , Retrospective Studies , Risk Factors , Time Factors , Trauma Centers/economics , Trauma Centers/standards , Vena Cava Filters/economics , Venous Thrombosis/etiology , Venous Thrombosis/prevention & control , Wounds and Injuries/complications , Young AdultABSTRACT
BACKGROUND: Patients with a Trauma Injury Severity Score (TRISS) < .5 are termed "unexpected survivors." There is scarce information published on this subset of geriatric patients whose survival is an anomaly. METHODS: This is a retrospective case-control study examining all geriatric patients (age ≥65) not expected to survive (TRISS<.5) in the Pennsylvania Trauma Outcome Study (PTOS) database from 2013 to 2017. Primary outcome was survival to discharge. We selected 10 clinically important variables for logistic regression analysis as possible factors that may improve survival. RESULTS: 1336 patients were included, 395 (29.6%) were unexpected survivors. Factors that improved survival odds are the following: Place of injury: street/highway (AOR:0.51; 95% CI: .36-.73, P < .001) and residential institution (AOR:0.46; 95% CI: .21-.98, P = .043); and presence of Benzodiazepines (AOR:0.49; 95% CI: .31-.77, P = .002) or ethanol (AOR:0.57; 95% CI: .34-.97, P = .040). Factors that decreased survival odds are the following: Hypotension (AOR: 8.59; 95% CI: 4.33-17.01, P < .001) and hypothermia (AOR: 1.58; 95% CI: 1.10-2.28, P = .014). Gender, race/ethnicity, blood transfusion in first 24 hours, shift of presentation to Emergency Department, place of injury (farm, industrial, recreational, or public building), use of Tetrahydrocannabinol, amphetamines or opioids, and level of trauma activation did not impact survival. DISCUSSION: Location of injury (street/highway and residential institution) and ethanol or benzodiazepine use led to a significant increased survival in severely injured geriatric patients. Hypotension and hypothermia led to decreased survival. Future studies should determine possible reasons these factors lead to survival (and identify additional factors) to focus efforts in these areas to improve outcomes in geriatric trauma.
Subject(s)
Blood Transfusion , Wounds and Injuries , Aged , Case-Control Studies , Emergency Service, Hospital , Humans , Injury Severity Score , Retrospective Studies , Trauma Centers , Wounds and Injuries/therapyABSTRACT
INTRODUCTION: Diagnostic radiology interpretive errors in trauma patients can lead to missed diagnoses, compromising patient care. Due to this, our level II trauma center implemented a reread protocol of all radiographic imaging within 24 hours on our highest trauma activation level (Code T). We sought to determine the efficacy of this reread protocol in identifying missed diagnoses in Code T patients. We hypothesized that a few, but clinically relevant errors, would be identified upon reread. METHODS: All radiographic study findings (initial read and reread) performed for Code T admissions from July 2015 to May 2016 were queried. The reviewed radiological imaging was given one of four designations: agree with interpretation, minor (non-life threatening) nonclinically relevant error(s)-addendum/correction required or clinically relevant error(s) (major [life threatening] and minor)-addendum/correction required, and trauma surgeon notified. The results were compiled, and the number of each type of error was calculated. RESULTS: Of the 752 radiological imaging studies reviewed on the 121 Code T patients during this period, 3 (0.40%) contained minor clinically relevant errors, 11 (1.46%) contained errors that were not clinically relevant, and 738 (98.1%) agreed with the original interpretation. The three clinically relevant errors included a right mandibular fracture found on X-ray and a temporal bone fracture that crossed the clivus and bilateral rib fractures found on computerized tomography. DISCUSSION: Clinically relevant errors, although minimal, were discovered during rereads for Code T patients. Although the clinical errors were significant, none affected patient outcomes. We propose that the implementation of reread protocols should be based upon institution-specific practices.
Subject(s)
Rib Fractures , Trauma Centers , Diagnostic Errors , Humans , Retrospective Studies , Tomography, X-Ray ComputedABSTRACT
OBJECTIVES: Out-of-hospital cardiac arrest (OHCA) afflicts >350,000 people annually in the United States. While postarrest coronary angiography (CAG) with percutaneous coronary intervention (PCI) has been associated with improved survival in observational cohorts, substantial uncertainty exists regarding patient selection for postarrest CAG. We tested the hypothesis that symptoms consistent with acute coronary syndrome (ACS), including chest discomfort, prior to OHCAs are associated with significant coronary lesions identified on postarrest CAG. METHODS: We conducted a multicenter retrospective cohort study among eight regional hospitals. Adult patients who experienced atraumatic OHCA with successful initial resuscitation and subsequent CAG between January 2015 and December 2019 were included. We collected data on prehospital documentation of potential ACS symptoms prior to OHCA as well as clinical factors readily available during postarrest care. The primary outcome in multivariable regression modeling was the presence of significant coronary lesions (defined as >50% stenosis of left main or >75% stenosis of other coronary arteries). RESULTS: Four-hundred patients were included. Median (interquartile range) age was 59 (51-69) years; 31% were female. At least one significant stenosis was found in 62%, of whom 71% received PCI. Clinical factors independently associated with a significant lesion included a history of myocardial infarction (adjusted odds ratio [aOR] = 6.5, [95% confidence interval {CI} = 1.3 to 32.4], p = 0.02), prearrest chest discomfort (aOR = 4.8 [95% CI = 2.1 to 11.8], p ≤ 0.001), ST-segment elevations (aOR = 3.2 [95% CI = 1.7 to 6.3], p < 0.001), and an initial shockable rhythm (aOR = 1.9 [95% CI = 1.0 to 3.4], p = 0.05). CONCLUSIONS: Among survivors of OHCA receiving CAG, history of prearrest chest discomfort was significantly and independently associated with significant coronary artery lesions on postarrest CAG. This suggests that we may be able to use prearrest symptoms to better risk stratify patients following OHCA to decide who will benefit from invasive angiography.
Subject(s)
Cardiopulmonary Resuscitation , Out-of-Hospital Cardiac Arrest , Percutaneous Coronary Intervention , Adult , Aged , Constriction, Pathologic/etiology , Coronary Angiography , Female , Humans , Male , Middle Aged , Out-of-Hospital Cardiac Arrest/etiology , Out-of-Hospital Cardiac Arrest/therapy , Registries , Retrospective StudiesABSTRACT
BACKGROUND: Massive transfusion protocols (MTP) are a routine component of any major trauma center's armamentarium in the management of exsanguinating hemorrhages. Little is known about the potential complications of those that survive a MTP. We sought to determine the incidence of venous thromboembolism (VTE) following MTP. We hypothesized that MTP would be associated with a higher risk of VTE when compared with a risk-adjusted control population without MTP. METHODS: The Pennsylvania Trauma Outcome Study database was retrospectively queried from 2015 to 2018 for trauma patients who developed VTE and survived until discharge at accredited trauma centers in Pennsylvania. Patient demographics, injury severity, and clinical outcomes were compared to assess differences in VTE development between MTP and non-MTP patients. A multivariate logistic regression model assessed the adjusted impact of MTP on VTE development. RESULTS: 176 010 patients survived until discharge, meeting inclusion criteria. Of those, 1667 developed a VTE (pulmonary embolism [PE]: 662 [0.4%]; deep vein thrombosis [DVT]: 1142 [0.6%]; PE and DVT: 137 [0.1%]). 1268 patients (0.7%) received MTP and, of this subset of patients, 171 (13.5%) developed a VTE during admission. In adjusted analysis, patients who had a MTP and survived until discharge had a higher odds of developing a VTE (adjusted odds ratio: 2.62; 95% CI: 2.13-3.24; P < .001). DISCUSSION: MTP is a harbinger for higher risk of VTE in those patients who survive. This may, in part, be related to the overcorrection of coagulation deficits encountered in the hemorrhagic event. A high index of suspicion for the development of VTE as well as aggressive VTE prophylaxis is warranted in those patients who survive MTP.
Subject(s)
Blood Transfusion , Exsanguination/therapy , Venous Thromboembolism/epidemiology , Wounds and Injuries/therapy , Adult , Clinical Protocols , Exsanguination/mortality , Female , Humans , Incidence , Logistic Models , Male , Middle Aged , Pennsylvania , Retrospective Studies , Trauma Centers , Wounds and Injuries/complications , Wounds and Injuries/mortalityABSTRACT
BACKGROUND: Given their mostly rural/suburban locations, level II trauma centers (TCs) may offer greater exposure to and experience in managing geriatric trauma patients. We hypothesized that geriatric patients would have improved outcomes at level II TCs compared to level I TCs. METHODS: The Pennsylvania Trauma Outcome Study (PTOS) database was retrospectively queried from 2003 to 2017 for geriatric (age ≥65 years) trauma patients admitted to level I and II TCs in Pennsylvania. Patient demographics, injury severity, and clinical outcomes were compared to assess differences in care between level I and II TCs. A multivariate logistic regression model assessed the adjusted impact of care at level I vs II TCs on mortality, complications, and functional status at discharge (FSD). The National Trauma Data Bank (NTDB) was retrospectively queried for geriatric (age ≥65 years) trauma admissions to state-accredited level I or level II TCs in 2013. RESULTS: 112 648 patients met inclusion criteria. The proportion of geriatric trauma patients across level I and level II TCs were determined to be 29.1% and 36.2% (P <.001), respectively. In adjusted analysis, there was no difference in mortality (adjusted odds ratio [AOR]: 1.13; P = .375), complications (AOR: 1.25; P = .080) or FSD (AOR: 1.09; P = .493) when comparing level I to level II TCs. Adjusted analysis from the NTDB (n = 144 622) also found that mortality was not associated with TC level (AOR: 1.04; P = .182). DISCUSSION: Level I and level II TCs had similar rates of mortality, complications, and functional outcomes despite a higher proportion (but lower absolute number) of geriatric patients being admitted to level II TCs. Future consideration for location of centers of excellence in geriatric trauma should include both level I and II TCs.
Subject(s)
Outcome Assessment, Health Care , Trauma Centers/standards , Wounds and Injuries/mortality , Aged , Humans , Injury Severity Score , Logistic Models , Pennsylvania/epidemiology , Retrospective Studies , Rural Population , Suburban Population , Wounds and Injuries/complications , Wounds and Injuries/therapyABSTRACT
BACKGROUND: The social vulnerability index (SVI) is used to assess resilience to external influences that may affect human health. Social vulnerability has been noted to be a barrier to healthcare access for pediatric patients. We hypothesized that Pennsylvania (PA) pediatric trauma patients high on the social vulnerability index would have significantly lower rates of rehab admission following admission to a hospital for traumatic injury. METHODS: The SVI was determined for each PA zip code area utilizing the census tract based 2014 SVI provided by the CDC along with a weighted crosswalk between census tracts and zip code areas using the Housing and Urban Development zip code crosswalk files. The rate of the uninsured population was extracted from the CDC SVI files in addition to other US Census variables based upon estimates from the 2014 American Community Survey (ACS). We also included the individual primary payer status of each subject. Pediatric (age <15â¯years) trauma admissions with in-hospital mortality excluded, were extracted from the PA Healthcare Cost Containment Council (PHC4) for all hospital admissions for the period of 2003-2015 (nâ¯=â¯63,545). Complete case analysis was conducted based upon the final model providing a sample of 52,794. Cases were coded as rehab patients based upon discharge status (nâ¯=â¯603; 1.1%). A multi-level logistic model was used to determine if subjects had a higher odds of being discharged to rehab based on SVI, undertriage rates of their zip code area of residence and their own primary payer status; this was adjusted for age, multi-system injury and a head, chest or abdomen injury with abbreviate injury scale (AIS) severity >â¯=â¯3. RESULTS: SVI and undertriage rates of the zip code areas of residence were not significantly associated with admission to rehab. The individual primary payer status of the subject was significantly associated with admission to rehab (OR 95%CI vs. self/uninsured; Medicaid 3.65 1.84-7.24; Commercialâ¯=â¯3.09 1.56-6.11; other/unknownâ¯=â¯2.85 1.02-7.93). Admission to rehab was also significantly associated with age, injury severity (ISS), head or chest injury with AIS scores >â¯=â¯3, year of admission and hospital type. CONCLUSION: Individual patient level factors (primary payer of patient) may be associated with the odds of rehab admission rather than neighborhood factors. LEVEL OF EVIDENCE: Epidemiologic: Level III.
Subject(s)
Multiple Trauma , Trauma Centers , Adolescent , Child , Humans , Injury Severity Score , Medically Uninsured , Pennsylvania/epidemiology , Residence Characteristics , United StatesABSTRACT
BACKGROUND: Extended hospital length of stay (LOS) is widely associated with significant healthcare costs. Since LOS is a known surrogate for cost, we sought to evaluate outliers. We hypothesized that particular characteristics are likely predictive of trauma high resource consumers (THRC) and can be used to more effectively manage care of this population. METHODS: The Pennsylvania Trauma Outcome Study database was retrospectively queried from 2003-2017 for all adult (age ≥15) trauma patients admitted to accredited trauma centers in Pennsylvania. THRC were defined as patients with hospital LOS two standard deviations above the population mean or ≥22 days (p<0.05). Patient demographics, comorbid conditions and clinical variables were compared between THRC and non-THRC to identify potential predictor variables. A multilevel mixed-effects logistic regression model controlling for age, gender, injury severity, admission Glasgow coma score, systolic blood pressure, and injury year assessed the adjusted impact of clinical factors in predicting THRC status. The National Trauma Data Bank (NTDB) was retrospectively queried from 2014-2016 for all adult (age ≥15) trauma patients admitted to state-accredited trauma centers and likewise were assessed for factors associated with THRC. RESULTS: A total of 465,601 patients met inclusion criteria [THRC: 16,818 (3.6%); non-THRC 448,783 (96.4%)]. Compared to non-THRC counterparts, THRC patients were significantly more severely injured (median ISS: 9 vs. 22, p<0.001). In adjusted analysis, gunshot wound (GSW) to the abdomen, undergoing major surgery and reintubation along with injury to the spine, upper or lower extremities were significantly associated with THRC. From the NTDB, 2 323 945 patients met inclusion criteria. In adjusted analysis, GSW to the abdomen was significantly associated with THRC. Penetrating injury overall was associated with decreased risk of being a THRC in the NTDB dataset. Those who had either GSW to abdomen, surgery, or reintubation required significantly longer LOS (p<0.001). CONCLUSIONS: Reintubation, major surgery, gunshot wound to abdomen, along with injury to the spine, upper or lower extremities are all strongly predictive of THRC. Understanding the profile of the THRC will allow clinicians and case management to proactively put processes in place to streamline care and potentially reduce costs and LOS.
Subject(s)
Length of Stay/statistics & numerical data , Wounds and Injuries , Adolescent , Adult , Aged , Aged, 80 and over , Female , Forecasting , Health Resources/statistics & numerical data , Humans , Male , Middle Aged , Retrospective Studies , Trauma Centers , Wounds and Injuries/therapy , Young AdultABSTRACT
BACKGROUND: Acute care surgery patients are often unfasted at the time of surgery, presenting a unique opportunity to study the effects of fasting on the risk of pulmonary aspiration. We aimed to determine the relative risk of aspiration in patients who were fasted at the time of surgery according to guidelines versus those in an unfasted state. METHODS: A retrospective chart review of 100 patients who underwent appendectomy (n = 76) or exploratory laparotomy (n = 24) was conducted at a single institution in 2016-2017. Using the American Society of Anesthesiologists (ASA) Practice Guidelines for Preoperative Fasting, patients were stratified into study and control groups according to whether they were unfasted (nothing by mouth for <8 hours prior to surgery) or fasted (nothing by mouth for >8 hours prior to surgery). Data controlled for patients' age, sex, body mass index (BMI), most recent hemoglobin A1c, presence of gastroesophageal reflux disease (GERD), and presence of hiatal hernia. RESULTS: Of the 76 patients who underwent appendectomy, 15% were unfasted with a total of 0 aspiration events (P < .001). Of the 24 patients who underwent exploratory laparotomy, 42% were unfasted with a total of 0 aspiration events (P < .001). This yields a relative risk of pulmonary aspiration of 1.0 (absolute risk of 0) in both the study and control groups. DISCUSSION: In an acute care surgery population including patients who were not fasted according to guidelines, there was no increase in the risk of pulmonary aspiration. LEVEL OF EVIDENCE: Epidemiological study; Level III.
Subject(s)
Appendectomy/adverse effects , Critical Care , Fasting , Laparotomy/adverse effects , Pneumonia, Aspiration/epidemiology , Postoperative Complications/epidemiology , Female , Humans , Male , Preoperative Care , Retrospective Studies , RiskABSTRACT
BACKGROUND: Those older than 65 years represent the fastest growing demographic in the United States. As such, their care has been emphasized by trauma entities such as the American College of Surgeons Committee on Trauma. Unfortunately, much of that focus has been of their care once they reach the hospital with little attention on the access of geriatric trauma patients to trauma centers (TCs). We sought to determine the rate of geriatric undertriage (UT) to TCs within a mature trauma system and hypothesized that there would be variation and clustering of the geriatric undertriage rate (UTR) within a mature trauma system because of the admission of geriatric trauma patient to nontrauma centers (NTCs). METHODS: From 2003 to 2015, all geriatric (age >65 years) admissions with an Injury Severity Score of greater than 9 from the Pennsylvania Trauma Systems Foundation (PTSF) registry and those meeting trauma criteria (International Classification of Diseases, Ninth Revision: 800-959) from the Pennsylvania Health Care Cost Containment Council (PHC4) database were included. Undertriage rate was defined as patients not admitted to TCs (n = 27) divided by the total number of patients as from the PHC4 database. The PHC4 contains all inpatient admissions within Pennsylvania (PA), while PTSF reports admissions to PA TCs. The zip code of residence was used to aggregate calculations of UTR as well as other aggregate patient and census demographics, and UTR was categorized into lower, middle box, and upper quartiles. ArcGIS Desktop: Version 10.7, ESRI, Redlands, CA and GeoDa: Version 1.14.0, Open source license were used for geospatial mapping of UT with a spatial empirical Bayesian smoothed UTR, and Stata: Version 16.1, Stata Corp., College Station TX was used for statistical analyses. RESULTS: Pennsylvania Trauma Systems Foundation had 58,336 cases, while PHC4 had 111,626 that met the inclusion criteria, resulting in a median (Q1-Q3) smoothed UTR of 50.5% (38.2-60.1%) across PA zip code tabulation areas. Geospatial mapping reveals significant clusters of UT regions with high UTR in some of the rural regions with limited access to a TC. The lowest quartile UTR regions tended to have higher population density relative to the middle or upper quartile UTR regions. At the patient level, the lowest UTR regions had more racial and ethnic diversity, a higher injury severity, and higher rates of treatment at a TC. Undertriage rate regions that were closer to NTCs had a higher odds of being in the upper UTR quartile; 4.48 (2.52-7.99) for NTC with less than 200 beds and 8.53 (4.70-15.47) for NTC with 200 beds or greater compared with zip code tabulation areas with a TC as the closest hospital. CONCLUSION: There are significant clusters of geriatric UT within a mature trauma system. Increased emphasis needs to focus prehospital on identifying the severely injured geriatric patient including specific geriatric triage protocols. LEVEL OF EVIDENCE: Epidemiological, Level III.
Subject(s)
Healthcare Disparities/statistics & numerical data , Trauma Centers/standards , Triage/standards , Aged , Databases, Factual , Female , Humans , Injury Severity Score , Male , Pennsylvania , Registries , Retrospective Studies , United States , Wounds and Injuries/mortality , Wounds and Injuries/therapyABSTRACT
BACKGROUND: While issues regarding triage of severely injured trauma patients are well publicized, little information exists concerning the difference between triage rates for patients transported by advanced life support (ALS) and basic life support (BLS). We sought to analyze statewide trends in undertriage (UT) and overtriage (OT) to address this question, hypothesizing that there would be a difference between the UT and OT rates for ALS compared with BLS over a 13-year period. METHODS: All patients submitted to Pennsylvania Trauma Outcomes Study database from 2003 to 2015 were analyzed. Undertriage was defined as not calling a trauma alert for patients with an Injury Severity Score (ISS) of 16 or greater. Overtriage was defined as calling a trauma alert for patients with an ISS of 9 or less. A logistic regression was used to assess mortality between triage groups in ALS and BLS. A multinomial logistic regression assessed the adjusted impact of ALS versus BLS transport on UT and OT versus normal triage while controlling for age, sex, Glasgow Coma Scale, systolic blood pressure (SBP), pulse, Shock Index and injury year. RESULTS: A total of 462,830 patients met inclusion criteria, of which 115,825 had an ISS of 16 or greater and 257,855 had an ISS of 9 or less. Both ALS and BLS had significantly increased mortality when patients were undertriaged compared with the reference group. Multivariate analysis in the form of a multinomial logistic regression revealed that patients transported by ALS had a decreased adjusted rate of undertriage (relative risk ratio, 0.92; 95% confidence interval, 0.87-0.97; p = 0.003) and an increased adjusted rate of OT (relative risk ratio, 1.59; 95% confidence interval, 1.54-1.64; p < 0.001) compared with patients transported by BLS. CONCLUSION: Compared with their BLS counterparts, while UT is significantly lower, OT is substantially higher in ALS-further increasing the high levels of resource (over)utilization in trauma patients. Undertriage in both ALS and BLS are associated with increased mortality rates. Additional education, especially in the BLS provider, on identifying the major trauma victim may be warranted based on the results of this study. LEVEL OF EVIDENCE: Epidemiological, Level III.
Subject(s)
Advanced Trauma Life Support Care/statistics & numerical data , Health Services Misuse/statistics & numerical data , Transportation of Patients/statistics & numerical data , Triage/statistics & numerical data , Wounds and Injuries/diagnosis , Adult , Aged , Aged, 80 and over , Female , Humans , Injury Severity Score , Male , Middle Aged , Pennsylvania/epidemiology , Registries/statistics & numerical data , Retrospective Studies , Trauma Centers/statistics & numerical data , Wounds and Injuries/mortalityABSTRACT
BACKGROUND: With the recent birth of the Pennsylvania TQIP Collaborative, statewide data identified unplanned admissions to the intensive care unit (ICU) as an overarching issue plaguing the state trauma community. To better understand the impact of this unique population, we sought to determine the effect of unplanned ICU admission/readmission on mortality to identify potential predictors of this population. We hypothesized that ICU bounceback (ICUBB) patients would experience increased mortality compared with non-ICUBB controls and would likely be associated with specific patterns of complications. METHODS: The Pennsylvania Trauma Outcome Study database was retrospectively queried from 2012 to 2015 for all ICU admissions. Unadjusted mortality rates were compared between ICUBB and non-ICUBB counterparts. Multilevel mixed-effects logistic regression models assessed the adjusted impact of ICUBB on mortality and the adjusted predictive impact of 8 complications on ICUBB. RESULTS: A total of 58,013 ICU admissions were identified from 2012 to 2015. From these, 53,715 survived their ICU index admission. The ICUBB rate was determined to be 3.82% (2,054/53,715). Compared with the non-ICUBB population, ICUBB patients had a significantly higher mortality rate (12% vs. 8%; p < 0.001). In adjusted analysis, ICUBB was associated with a 70% increased odds ratio for mortality (adjusted odds ratio, 1.70; 95% confidence interval, 1.44-2.00; p < 0.001). Adjusted analysis of predictive variables revealed unplanned intubation, sepsis, and pulmonary embolism as the strongest predictors of ICUBB. CONCLUSION: Intensive care unit bouncebacks are associated with worse outcomes and are disproportionately burdened by respiratory complications. These findings emphasize the importance of the TQIP Collaborative in identifying statewide issues in need of performance improvement within mature trauma systems. LEVEL OF EVIDENCE: Epidemiological study, level III.
Subject(s)
Intensive Care Units/statistics & numerical data , Outcome Assessment, Health Care/statistics & numerical data , Respiratory Tract Diseases/epidemiology , Trauma Centers/statistics & numerical data , Wounds and Injuries/therapy , Adult , Aged , Aged, 80 and over , Female , Hospital Mortality , Humans , Injury Severity Score , Male , Middle Aged , Patient Readmission/statistics & numerical data , Pennsylvania/epidemiology , Respiratory Tract Diseases/etiology , Respiratory Tract Diseases/therapy , Retrospective Studies , Risk Factors , Wounds and Injuries/complications , Wounds and Injuries/diagnosis , Wounds and Injuries/mortalityABSTRACT
BACKGROUND: While there is little debate that pediatric trauma centers (PTC) are uniquely equipped to manage pediatric trauma patients, the extent to which adolescents benefit from treatment there remains controversial. We sought to elucidate differences in management approach and outcome between PTC and adult trauma centers (ATC) for the adolescent penetrating trauma population. We hypothesized that improved mortality would be observed at ATC for this subset of patients. METHODS: Adolescent patients (age, 15-18 years), presenting to Pennsylvania-accredited trauma centers between 2003 and 2017 with penetrating injury, were queried from the Pennsylvania Trauma Outcome Study database. Dead on arrival, transfer patients, and those admitted to a Level III or Level IV trauma center were excluded from analysis. Patient length of stay, number of complications, surgical intervention, and mortality were compared between ATC and PTC. Multilevel mixed effects logistic regression models with trauma center as the clustering variable were used to assess the impact of center type (ATC/PTC) on management approach and mortality adjusted for appropriate covariates. RESULTS: A total of 2,630 adolescent patients met inclusion criteria (PTC: n = 428 [16.3%]; ATC: n = 2,202 [83.7%]). Pediatric trauma centers had a lower adjusted odds of mortality (adjusted odds ratio [AOR], 0.35; 95% confidence interval [CI], 0.17-0.74; p = 0.006) and a lower adjusted odds of surgery (AOR, 0.67; 95% CI, 0.0.48-0.93; p = 0.016) than their ATC counterparts. There were no differences in complication rates (AOR, 0.94; 95% CI, 0.57-1.55; p = 0.793) or length of stay longer than 4 days (AOR, 0.95; 95% CI, 0.61-1.48; p = 0.812) between the PTCs and ATCs. There were also differences in penetrating injury type between PTC and ATC. CONCLUSION: The adolescent penetrating trauma patient population treated at PTC had less surgery performed with improved mortality compared with ATC. LEVEL OF EVIDENCE: Therapeutic, Level IV.
Subject(s)
Hospitals, Pediatric/statistics & numerical data , Outcome and Process Assessment, Health Care/statistics & numerical data , Surgical Procedures, Operative/statistics & numerical data , Trauma Centers/statistics & numerical data , Wounds, Penetrating/surgery , Adolescent , Databases, Factual/statistics & numerical data , Female , Humans , Injury Severity Score , Length of Stay , Male , Pennsylvania/epidemiology , Retrospective Studies , Surgical Procedures, Operative/methods , Survival Analysis , Wounds, Penetrating/complications , Wounds, Penetrating/diagnosis , Wounds, Penetrating/mortalityABSTRACT
BACKGROUND: The effect of Level IV trauma center (TC) accreditation within an existing trauma network remains understudied. This study compared preaccreditation to postaccreditation data from Level IV TCs within a mature trauma system in Pennsylvania to determine whether TC designation affected time to and/or rate of transfer to definitive care. Level IV TCs were hypothesized to have a decreased time to transfer following accreditation and improved mortality. METHODS: The Pennsylvania Trauma Systems Foundation collects predesignation and postdesignation data from hospitals pursuing accreditation. Data from Pennsylvania Trauma Systems Foundation between 2012 and 2017 were analyzed. Variables of interest included patient demographics, injury severity, mortality, and incidence of surgical interventions precredentialingto postcredentialing. A multilevel mixed-effects logistic regression model assessed the adjusted impact of Level IV TC accreditation on transfer rate. ArcGIS Desktop was used for geospatial mapping of lives and geographic area covered by the addition of Level IV TCs in Pennsylvania. RESULTS: Five hospitals underwent Level IV credentialing from 2012 to 2017, providing data on 5,076 cases (pre, 2,395 [47.2%]; post, 2,681 [52.8%]). No significant difference in age, admission Glasgow Coma Scale score, or shock index was observed preaccreditation to postaccreditation. A difference in transfer rate was observed after credentialing in unadjusted (62.7% vs. 63.3%; p < 0.014) and adjusted analyses (adjusted odds ratios, 1.13, p = 0.389). There was a trend toward reduced odds of mortality postcredentialing (adjusted odds ratios, 0.59, p = 0.261). Major surgical intervention decreased (Pre, 0.42%; Post, 0.04%; p = 0.004). CONCLUSION: Level IV TC accreditation has beneficial effects on increased transfer rates and may improve mortality. It is important to continue to observe the impact of Level IV TCs on patient outcomes within a mature trauma system. LEVEL OF EVIDENCE: Prognostic and epidemiological, level III.
Subject(s)
Trauma Centers/organization & administration , Accreditation , Emergency Medical Services/organization & administration , Female , Glasgow Coma Scale , Hospital Mortality , Humans , Injury Severity Score , Length of Stay/statistics & numerical data , Male , Middle Aged , Patient Transfer/statistics & numerical data , Pennsylvania , Registries , Trauma Centers/standards , Trauma Centers/statistics & numerical data , Wounds and Injuries/epidemiology , Wounds and Injuries/mortality , Wounds and Injuries/therapyABSTRACT
BACKGROUND: Improved mortality as a result of appropriate triage has been well established in adult trauma and may be generalizable to the pediatric trauma population as well. We sought to determine the overall undertriage rate (UTR) in the pediatric trauma population within Pennsylvania (PA). We hypothesized that a significant portion of pediatric trauma population would be undertriaged. METHODS: All pediatric (age younger than 15) admissions meeting trauma criteria (International Classification of Diseases, Ninth Revision: 800-959) from 2003 to 2015 were extracted from the Pennsylvania Health Care Cost Containment Council (PHC4) database and the Pennsylvania Trauma Systems Foundation (PTSF) registry. Undertriage was defined as patients not admitted to PTSF-verified pediatric trauma centers (n = 6). The PHC4 contains inpatient admissions within PA, while PTSF only reports admissions to PA trauma centers. ArcGIS Desktop was used for geospatial mapping of undertriage. RESULTS: A total of 37,607 cases in PTSF and 63,954 cases in PHC4 met criteria, suggesting UTR of 45.8% across PA. Geospatial mapping reveals significant clusters of undertriage regions with high UTR in the eastern half of the state compared to low UTR in the western half. High UTR seems to be centered around nonpediatric facilities. The UTR for patients with a probability of death 1% or less was 39.2%. CONCLUSION: Undertriage is clustered in eastern PA, with most areas of high undertriage located around existing trauma centers in high-density population areas. This pattern may suggest pediatric undertriage is related to a system issue as opposed to inadequate access. LEVEL OF EVIDENCE: Retrospective study, without negative criteria, Level III.