A closed surgical intensive care unit organization improves cardiac surgical patient outcomes.

Background: Intensive care unit (ICU) organization is a critical factor in optimizing patient outcomes. ICU organization can be divided into "OPEN" (O) and "CLOSED" (C) models, where the specialist or intensivist, respectively, assumes the role of primary physician. Recent studies support improved outcomes in closed ICUs, however, most of the available data is centered on ICUs generally or on subspecialty surgical patients in the setting of a subspecialized surgical intensive care unit (SICU). We examined the impact of closing a general SICU on patient outcomes following cardiac and ascending aortic surgery. Methods: A retrospective cohort of patients following cardiac or ascending aortic surgery by median sternotomy was examined at a single academic medical center one year prior and one year after implementation of a closed SICU model. Patients were divided into "OPEN" (O; n=53) and "CLOSED" (C; n=73) cohorts. Results: Cohorts were comparable in terms of age, race, and number of comorbid conditions. A significant difference in male gender (O: 60.4% vs. C: 76.7%, P=0.049), multiple procedure performed (O: 13.21% vs. C: 35.62%, P=0.019), and hospital readmission rates was detected (O: 39.6% vs. C: 9.6%, P=0.0003). Using a linear regression model, a closed model SICU organization decreased SICU length of stay (LOS). Using a multivariate logistic regression, being treated in a closed ICU decreased a patient's likelihood of having an ICU LOS greater than 48 hours. Conclusions: Our study identified a decreased ICU LOS and hospital readmission in cardiac and ascending aortic patients in a closed general SICU despite increased procedure complexity. Further study is needed to clarify the effects on surgical complications and hospital charges.

Readmissions After Traumatic Brain Injury in the Nationwide Readmissions Database.

INTRODUCTION: Readmissions after a traumatic brain injury (TBI) can have severe impacts on long-term health outcomes as well as rehabilitation. The aim of this descriptive study was to analyze the Nationwide Readmissions Database to determine possible risk factors associated with readmission for patients who previously sustained a TBI. METHODS: This retrospective study used data from the Nationwide Readmissions Database to explore gender, age, injury severity score, comorbidities, index admission hospital size, discharge disposition of the patient, and cause for readmission for adults admitted with a TBI. Multivariable logistic regression was used to assess likelihood of readmission. RESULTS: There was a readmission rate of 28.7% (n = 31,757) among the study population. The primary cause of readmission was either subsequent injury or sequelae of the original injury (n = 8825; 29%) followed by circulatory (n = 5894; 19%) and nervous system issues (n = 2904; 9%). There was a significantly higher risk of being readmitted in males (Female odds ratio: 0.87; confidence interval [0.851-0.922), older patients (65-79: 32.3%; > 80: 37.1%), patients with three or more comorbidities (≥ 3: 32.9%), or in patients discharged to a skilled nursing facility/intermediate care facility/rehab (SNF/ICF/Rehab odds ratio: 1.55; confidence interval [0.234-0.262]). CONCLUSIONS: This study demonstrates a large proportion of patients are readmitted after sustaining a TBI. A significant number of patients are readmitted for subsequent injuries, circulatory issues, nervous system problems, and infections. Although readmissions cannot be completely avoided, defining at-risk populations is the first step of understanding how to reduce readmissions.

Partnership in Cancer Research (PCAR) Program Increases Medical Student Knowledge and Confidence to Perform Cancer Research.

Arkansas has a high cancer burden, and a pressing need exists for more medical students to pursue oncology as a career. The Partnership in Cancer Research (PCAR) program provides a summer research experience at the University of Arkansas for Medical Sciences for 12 medical students who have completed their first year of medical training. A majority of participants spend time pursuing cancer research in basic science, clinical, or community-based research. Students report on their research progress in an interactive "Live from the Lab!" series and assemble a final poster presentation describing their findings. Other activities include participation in a moderated, cancer-patient support group online, lecture series on cancer topics, medical simulations, palliative care clinic visit, "Death Over Dinner" event, and an entrepreneurship competition. Students completed surveys over PCAR's first 2 years in operation to evaluate all aspects of the program. Surveys reveal that students enthusiastically embraced the program in its entirety. This was especially true of the medical simulations which received the highest evaluations. Most significantly, surveys revealed that the program increased cancer knowledge and participant confidence to perform cancer research.

Development and validation of the early warning system scores ontology.

BACKGROUND: Clinical early warning scoring systems, have improved patient outcomes in a range of specializations and global contexts. These systems are used to predict patient deterioration. A multitude of patient-level physiological decompensation data has been made available through the widespread integration of early warning scoring systems within EHRs across national and international health care organizations. These data can be used to promote secondary research. The diversity of early warning scoring systems and various EHR systems is one barrier to secondary analysis of early warning score data. Given that early warning score parameters are varied, this makes it difficult to query across providers and EHR systems. Moreover, mapping and merging the parameters is challenging. We develop and validate the Early Warning System Scores Ontology (EWSSO), representing three commonly used early warning scores: the National Early Warning Score (NEWS), the six-item modified Early Warning Score (MEWS), and the quick Sequential Organ Failure Assessment (qSOFA) to overcome these problems. METHODS: We apply the Software Development Lifecycle Framework-conceived by Winston Boyce in 1970-to model the activities involved in organizing, producing, and evaluating the EWSSO. We also follow OBO Foundry Principles and the principles of best practice for domain ontology design, terms, definitions, and classifications to meet BFO requirements for ontology building. RESULTS: We developed twenty-nine new classes, reused four classes and four object properties to create the EWSSO. When we queried the data our ontology-based process could differentiate between necessary and unnecessary features for score calculation 100% of the time. Further, our process applied the proper temperature conversions for the early warning score calculator 100% of the time. CONCLUSIONS: Using synthetic datasets, we demonstrate the EWSSO can be used to generate and query health system data on vital signs and provide input to calculate the NEWS, six-item MEWS, and qSOFA. Future work includes extending the EWSSO by introducing additional early warning scores for adult and pediatric patient populations and creating patient profiles that contain clinical, demographic, and outcomes data regarding the patient.

Weight-Based Dosing for Venous Thromboembolism Prophylaxis in Spinal Trauma Patients Appears Safe.

INTRODUCTION: Venous thromboembolism (VTE) is a substantial cause of morbidity and mortality in trauma patients. VTE prophylaxis (VTEP) initiation is often delayed in certain patients due to the perceived risk of bleeding complications. Our VTEP guideline was changed from fixed-dosing to a weight-based dosing strategy using enoxaparin in June 2019. We investigated the rate of postoperative bleeding complications with a weight-based and a standard dosing protocol in traumatic spine injury patients requiring surgical stabilization. METHODS: A retrospective pre-post cohort study using an institutional trauma database was conducted, comparing bleeding complications between fixed and weight-based VTEP protocols. Patients undergoing surgical stabilization of a spine injury were included. The preintervention cohort received fixed-dose thromboprophylaxis (30 mg twice daily or 40 mg daily); the postcohort received weight-based thromboprophylaxis (0.5 mg/kg q12 h with anti-factor Xa monitoring). All patients received VTEP 24-48 h after surgery. International Classification of Diseases codes were used to identify bleeding complications. RESULTS: There were 68 patients in the pregroup and 68 in the postgroup with comparable demographics. Incidence of bleeding complications in the pre- and postgroups were 2.94% and 0% respectively. CONCLUSIONS: VTEP initiated 24-48 h after surgical stabilization of a spine fracture using a weight-based dosing strategy and has a similar rate of bleeding complications as a standard dose protocol. Our study is limited by the low overall incidence of bleeding complications and small sample size. These findings could be validated by a larger multicenter trial.

Care delivery team composition effect on hospitalization risk in African Americans with congestive heart failure.

The care delivery team (CDT) is critical to providing care access and equity to patients who are disproportionately impacted by congestive heart failure (CHF). However, the specific clinical roles that are associated with care outcomes are unknown. The objective of this study was to examine the extent to which specific clinical roles within CDTs were associated with care outcomes in African Americans (AA) with CHF. Deidentified electronic medical record data were collected on 5,962 patients, representing 80,921 care encounters with 3,284 clinicians between January 1, 2014 and December 31, 2021. Binomial logistic regression assessed associations of specific clinical roles and the Mann Whitney-U assessed racial differences in outcomes. AAs accounted for only 26% of the study population but generated 48% of total care encounters, the same percentage of care encounters generated by the largest racial group (i.e., Caucasian Americans; 69% of the study population). AAs had a significantly higher number of hospitalizations and readmissions than Caucasian Americans. However, AAs had a significantly higher number of days at home and significantly lower care charges than Caucasian Americans. Among all CHF patients, patients with a Registered Nurse on their CDT were less likely to have a hospitalization (i.e. 30%) and a high number of readmissions (i.e., 31%) during the 7-year study period. When stratified by heart failure phenotype, the most severe patients who had a Registered Nurse on their CDT were 88% less likely to have a hospitalization and 50% less likely to have a high number of readmissions. Similar decreases in the likelihood of hospitalization and readmission were also found in less severe cases of heart failure. Specific clinical roles are associated with CHF care outcomes. Consideration must be given to developing and testing the efficacy of more specialized, empirical models of CDT composition to reduce the disproportionate impact of CHF.

Quantifying care delivery team influences on the hospitalization outcomes of patients with multimorbidity: Implications for clinical informatics.

The primary objective was to quantify the influences of care delivery teams on the outcomes of patients with multimorbidity. Electronic medical record data on 68,883 patient care encounters (i.e., 54,664 patients) were extracted from the Arkansas Clinical Data Repository. Social network analysis assessed the minimum care team size associated with improved care outcomes (i.e., hospitalizations, days between hospitalizations, and cost) of patients with multimorbidity. Binomial logistic regression further assessed the influence of the presence of seven specific clinical roles. When compared to patients without multimorbidity, patients with multimorbidity had a higher mean age (i.e., 47.49 v. 40.61), a higher mean dollar amount of cost per encounter (i.e., $3,068 v. $2,449), a higher number of hospitalizations (i.e., 25 v. 4), and a higher number of clinicians engaged in their care (i.e., 139,391 v. 7,514). Greater network density in care teams (i.e., any combination of two or more Physicians, Residents, Nurse Practitioners, Registered Nurses, or Care Managers) was associated with a 46-98% decreased odds of having a high number of hospitalizations. Greater network density (i.e., any combination of two or more Residents or Registered Nurses) was associated with 11-13% increased odds of having a high cost encounter. Greater network density was not significantly associated with having a high number of days between hospitalizations. Analyzing the social networks of care teams may fuel computational tools that better monitor and visualize real-time hospitalization risk and care cost that are germane to care delivery.

Deep vein thrombosis causing abdominal wall varicosities.

Deep venous thrombosis (DVT) is a common medical finding occurring in ~25% of hospitalized patients with roughly half of these patients experiencing post-thrombotic complications [Baldwin, Moore, Rudarakanchana, Gohel, Davies (Post-thrombotic syndrome: a clinical review. J Thromb Haemost 2013;11:795-805.)]. There are many associated complications of DVTs, including pulmonary embolism and lower extremity swelling; however, the occurrence of abdominal wall varicosities with DVT's is rare [Baldwin, Moore, Rudarakanchana, Gohel, Davies (Post-thrombotic syndrome: a clinical review. J Thromb Haemost 2013;11:795-805.)]. The purpose of this case study is to rare presentation of abdominal vein varicosities as manifestation of DVT.

Incidence of Red Cell Antibody Formation Following Massive Transfusion Protocol: Experience of a Single Institution.

BACKGROUND: Injured patients in hemorrhagic shock have a survival benefit with massive transfusion protocol (MTP). While there are many published studies on the transfusion management of massively bleeding patients, the risk of alloimmunization in patients that have received products during an MTP activation is relatively unknown. Therefore, we sought to determine the frequency of new antibody formation in MTP patients that received blood products from an uncrossmatched megapack. MATERIALS AND METHODS: We conducted a retrospective data review of patients who underwent an MTP activation for trauma resuscitation between May 2014 and July 2020. Data were collected from patients who met the following criteria: MTP was activated, the patients received at least one unit of packed red blood cells, one unit of fresh frozen plasma, one unit of platelets, and had a repeat type and screen within 6 weeks of transfusion. These inclusion criteria resulted in 28 patients over the 6-year timeframe. RESULTS: Overall, the risk of alloimmunization secondary to MTP is 3.6% in our trauma patient population. The newly developed antibodies post-MTP are considered clinically significant, meaning they can cause hemolysis if exposed to donor red blood cells containing those antigens. DISCUSSION: Blood products should be given preferentially over crystalloids to acutely bleeding patients to prevent ischemic injury during an MTP activation despite the risk of alloimmunization. In our single-institution study, the alloimmunization rate in massive transfusions where patients receive uncrossmatched red blood cells is similar to those receiving crossmatched red blood cells.

Elective operations delay and emergency department visits and inpatient admissions during COVID-19.

Introduction: At the beginning of the COVID-19 pandemic, many hospitals postponed elective operations for a 12-week period in early 2020. During this time, there was concern that the delay would lead to worse health outcomes. The objective of this study is to analyze the effect of delaying operations during this period on ED (Emergency Department) visits and/or urgent IP (Inpatient) admissions. Methods: Electronic Health Record (EHR) data on canceled elective operations between 3/17/20 to 6/8/20 was extracted and a descriptive analysis was performed looking at patient demographics, delay time (days), procedure type, and procedure on rescheduled, completed elective operations with and without a related ED visit and/or IP admission during the delay period. Results: Only 4 out of 197 (2.0%) operations among 4 patients out of 186 patients (2.0%) had an ED visit or IP admission diagnosis related to the postponed operation. When comparing the two groups, the 4 patients were older and had a longer median delay time compared to the 186 patients without an ED visit or IP admission. Conclusion: Postponement of certain elective operations may be done with minimal risk to the patient during times of crisis. However, this minimal risk may be due to the study site's selection of elective operations to postpone. For example, none of the elective operations canceled or postponed were cardiovascular operations, which have worse health outcomes when delayed.

Cultivating informatics capacity for multimorbidity: A learning health systems use case.

Background: The aim of this study was to characterize patterns of multimorbidity across patients and identify opportunities to strengthen the informatics capacity of learning health systems that are used to characterize multimorbidity across patients. Methods: Electronic health record (EHR) data on 225,710 multimorbidity patients were extracted from the Arkansas Clinical Data Repository as a use case. Hierarchical cluster analysis identified the most frequently occurring combinations of chronic conditions within the learning health system's captured data. Results: Results revealed multimorbidity was highest among patients ages 60 to 74, Caucasians, females, and Medicare payors. The largest numbers of chronic conditions occurred in the smallest numbers of patients (i.e., 70,262 (31%) patients with two conditions, two (<1%) patients with 22 chronic conditions). The results revealed urgent needs to improve EHR systems and processes that collect and manage multimorbidity data (e.g., creating new, multimorbidity-centric data elements in EHR systems, detailed longitudinal tracking of compounding disease diagnoses). Conclusions: Without additional capacity to collect and aggregate large-scale data, multimorbidity patients cannot benefit from the recent advancements in informatics (i.e., clinical data registries, emerging data standards) that are abundantly working to improve the outcomes of patients with single chronic conditions. Additionally, robust socio-technical system studies of clinical workflows are needed to assess the feasibility of integrating the collection of risk factor data elements (i.e., psycho-social, cultural, ethnic, and socioeconomic attributes of populations) into primary care encounters. These approaches to advancing learning health systems for multimorbidity could substantially reduce the constraints of current technologies, data, and data-capturing processes.

Assessing the Need for Semantic Data Integration for Surgical Biobanks-A Knowledge Representation Perspective.

To improve patient outcomes after trauma, the need to decrypt the post-traumatic immune response has been identified. One prerequisite to drive advancement in understanding that domain is the implementation of surgical biobanks. This paper focuses on the outcomes of patients with one of two diagnoses: post-traumatic arthritis and osteomyelitis. In creating surgical biobanks, currently, many obstacles must be overcome. Roadblocks exist around scoping of data that is to be collected, and the semantic integration of these data. In this paper, the generic component model and the Semantic Web technology stack are used to solve issues related to data integration. The results are twofold: (a) a scoping analysis of data and the ontologies required to harmonize and integrate it, and (b) resolution of common data integration issues in integrating data relevant to trauma surgery.

Critical Information from High Fidelity Arterial and Venous Pressure Waveforms During Anesthesia and Hemorrhage.

PURPOSE: Peripheral venous pressure (PVP) waveform analysis is a novel, minimally invasive, and inexpensive method of measuring intravascular volume changes. A porcine cohort was studied to determine how venous and arterial pressure waveforms change due to inhaled and infused anesthetics and acute hemorrhage. METHODS: Venous and arterial pressure waveforms were continuously collected, while each pig was under general anesthesia, by inserting Millar catheters into a neighboring peripheral artery and vein. The anesthetic was varied from inhaled to infused, then the pig underwent a controlled hemorrhage. Pearson correlation coefficients between the power of the venous and arterial pressure waveforms at each pig's heart rate frequency were calculated for each variation in the anesthetic, as well as before and after hemorrhage. An analysis of variance (ANOVA) test was computed to determine the significance in changes of the venous pressure waveform means caused by each variation. RESULTS: The Pearson correlation coefficients between venous and arterial waveforms decreased as anesthetic dosage increased. In an opposing fashion, the correlation coefficients increased as hemorrhage occurred. CONCLUSION: Anesthetics and hemorrhage alter venous pressure waveforms in distinctly different ways, making it critical for researchers and clinicians to consider these confounding variables when utilizing pressure waveforms. Further work needs to be done to determine how best to integrate PVP waveforms into clinical decision-making.

Treatment Trends and Inpatient Mortality in Isolated Severe Traumatic Brain Injury Using the National Trauma Data Bank.

BACKGROUND: Severe traumatic brain injury (TBI) remains a leading cause of morbidity and mortality. Despite recommendations from the Brain Trauma Foundation, there is wide variability in treatment paradigms for severe TBI. We aimed to elucidate the variability of treatment, particularly neurosurgical procedures and how it affects mortality. METHODS: Adult patients (<65 years old) with a severe isolated TBI who were treated at an American College of Surgeons level I trauma center were identified in the National Trauma Data Bank for the years 2007-2016. International Classification of Diseases, Ninth Revision procedure codes were used to identify primary treatment approaches: intracranial pressure (ICP) monitoring and cranial surgery (craniotomy/craniectomy). RESULTS: Among 25,327 patients with severe isolated TBI, 14.0% underwent ICP and 18.0% underwent cranial surgery. ICP monitoring reduced the odds of mortality (odds ratio 0.89, 95% confidence interval [0.81, 0.98]), but not the extent of cranial surgery (odds ratio 0.71, 95% confidence interval [0.65, 0.77]). CONCLUSIONS: Brain Trauma Foundation guidelines recommend placement of an ICP monitor for severe TBI; however, only 14% of patients with isolated, severe TBI underwent ICP monitoring in 2007-2016. ICP monitoring and cranial surgery decrease the odds of inpatient mortality in patients with severe TBI.

DeIDNER Model: A Neural Network Named Entity Recognition Model for Use in the De-identification of Clinical Notes.

Clinical named entity recognition (NER) is an essential building block for many downstream natural language processing (NLP) applications such as information extraction and de-identification. Recently, deep learning (DL) methods that utilize word embeddings have become popular in clinical NLP tasks. However, there has been little work on evaluating and combining the word embeddings trained from different domains. The goal of this study is to improve the performance of NER in clinical discharge summaries by developing a DL model that combines different embeddings and investigate the combination of standard and contextual embeddings from the general and clinical domains. We developed: 1) A human-annotated high-quality internal corpus with discharge summaries and 2) A NER model with an input embedding layer that combines different embeddings: standard word embeddings, context-based word embeddings, a character-level word embedding using a convolutional neural network (CNN), and an external knowledge sources along with word features as one-hot vectors. Embedding was followed by bidirectional long short-term memory (Bi-LSTM) and conditional random field (CRF) layers. The proposed model reaches or overcomes state-of-the-art performance on two publicly available data sets and an F1 score of 94.31% on an internal corpus. After incorporating mixed-domain clinically pre-trained contextual embeddings, the F1 score further improved to 95.36% on the internal corpus. This study demonstrated an efficient way of combining different embeddings that will improve the recognition performance aiding the downstream de-identification of clinical notes.

The Impact of Palliative Medicine Consultation on Readmission Rates and Hospital Costs in Surgical Patients Requiring Prolonged Mechanical Ventilation.

BACKGROUND: The use of palliative care for critically ill hospitalized patients has expanded. However, it is still underutilized in surgical specialties. Postsurgical patients requiring prolonged mechanical ventilation have increased mortality and costs of care; outcomes from adding palliative care services to this population have been poorly investigated. The objective of this study was to determine the impact of palliative medicine consultation on readmission rates and hospitalization costs in postsurgical patients requiring prolonged mechanical ventilation. METHODS: The Nationwide Readmissions Database was queried for adults (> 18 years) between the years 2010 and 2014 who underwent a major operation (Healthcare Cost and Utilization Project [HCUP] data element ORPROC = 1), required mechanical ventilation for ≥ 96 consecutive hours (ICD-9-CM V46.1), and survived until discharge. Among these, patients who received a palliative medicine consultation during hospitalization were identified using the ICD-9-CM diagnosis code V66.7. RESULTS: Of 53,450 included patients, 3.4% received a palliative care consultation. Compared to patients who did not receive a palliative care consultation, patients who did receive a consultation had a lower readmission rate (14.8% vs. 24.8%, p < 0.001) and lower average cost of hospitalization during the initial admission ($109,007 vs. $124,218, p < 0.001), findings that persisted after multivariable logistic regression. CONCLUSION: Utilization of palliative care in surgical patients remains low. Palliative care consultation in postsurgical patients requiring prolonged mechanical ventilation was associated with lower cost and rate of readmission. Further work is needed to integrate palliative care services with surgical care.

CDC field triage criteria accurately predicts outcomes in high impact trauma.

BACKGROUND: The precision of emergency medical services (EMS) triage criteria dictates whether an injured patient receives appropriate care. The trauma triage protocol is a decision scheme that groups patients into triage categories of major, moderate and minor. We hypothesized that there is a difference between trauma triage category and injury severity score (ISS). METHODS: This retrospective, observational study was conducted to investigate a difference between trauma triage category and ISS. Bivariate analysis was used to test for differences between the subgroup means. The differences between the group means on each measure were analyzed for direction and statistical significance using ANOVA for continuous variables and chi square tests for categorical variables. Logistic and linear regressions were performed to evaluate factors predicting mortality, ICU length of stay. RESULTS: With respect to trauma triage category, our findings indicate that minor and moderate triage categories are similar with respect to ISS, GCS, ICU LOS, hospital LOS, and mortality. However, after excluding for low impact injuries (falls), differences between the minor and moderate categories were evident when comparing to ISS, GCS, ICU LOS, and hospital LOS. Additionally, after excluding for low impact injures, ISS, ICU LOS, and hospital stay were found to correlate well with trauma triage category. CONCLUSIONS: In this retrospective, observational study significant differences were not seen when comparing ISS with the trauma triage categories of moderate and minor during our initial analysis. However, a difference was found after excluding for low impact injuries. These findings suggest that CDC criteria accurately predicts outcomes in high impact trauma.

Anesthetics affect peripheral venous pressure waveforms and the cross-talk with arterial pressure.

Analysis of peripheral venous pressure (PVP) waveforms is a novel method of monitoring intravascular volume. Two pediatric cohorts were studied to test the effect of anesthetic agents on the PVP waveform and cross-talk between peripheral veins and arteries: (1) dehydration setting in a pyloromyotomy using the infused anesthetic propofol and (2) hemorrhage setting during elective surgery for craniosynostosis with the inhaled anesthetic isoflurane. PVP waveforms were collected from 39 patients that received propofol and 9 that received isoflurane. A multiple analysis of variance test determined if anesthetics influence the PVP waveform. A prediction system was built using k-nearest neighbor (k-NN) to distinguish between: (1) PVP waveforms with and without propofol and (2) different minimum alveolar concentration (MAC) groups of isoflurane. 52 porcine, 5 propofol, and 7 isoflurane subjects were used to determine the cross-talk between veins and arteries at the heart and respiratory rate frequency during: (a) during and after bleeding with constant anesthesia, (b) before and after propofol, and (c) at each MAC value. PVP waveforms are influenced by anesthetics, determined by MANOVA: p value < 0.01, η2 = 0.478 for hypovolemic, and η2 = 0.388 for euvolemic conditions. The k-NN prediction models had 82% and 77% accuracy for detecting propofol and MAC, respectively. The cross-talk relationship at each stage was: (a) ρ = 0.95, (b) ρ = 0.96, and (c) could not be evaluated using this cohort. Future research should consider anesthetic agents when analyzing PVP waveforms developing future clinical monitoring technology that uses PVP.

Percutaneous Cholecystostomy Tubes versus Medical Management for Acute Cholecystitis.

BACKGROUND: Cholecystitis is one of the most common infections treated surgically in the United States. Surgical risk is prohibitive in some patients, leading to alternative therapeutic strategies, including medical management (antibiotics) with or without percutaneous cholecystostomy tube (PCT) drainage. MATERIALS AND METHODS: Using the Healthcare Cost and Utilization Project (HCUP) National Readmission Database (NRD), we performed a retrospective review to compare medically managed patients with or without PCT placement by evaluating 60-day readmissions rates, health care costs, and hospital length of stay (LOS). Both study groups were matched using the Elixhauser comorbidity index, age, and sex. Univariate and multivariate statistical analyses were performed using STATA. RESULTS: 776,766 patients were included in the analysis. The population receiving PCT placement was on average 16 years older (69.9 vs 53.6 years; P < .01), less likely to be female (40.7% vs 59.3%; P < .01), and had almost twice as many comorbidities (3.36 vs 1.81; P < .01) compared to the population receiving medical management. After matching our data to account for these incongruities, PCT patients were still 10.4 times more likely to be readmitted, had a 11.6% increase in the cost of care, and a 37.6% increase in LOS compared to those managed medically. DISCUSSION: Percutaneous cholecystostomy tube placement for cholecystitis is associated with a higher readmission rate, increased charges, and increased LOS compared to antibiotic therapy alone, even after correcting for age, sex, and comorbidities.

Does Gender Matter: A Multi-Institutional Analysis of Viscoelastic Profiles for 1565 Trauma Patients With Severe Hemorrhage.

BACKGROUND: Viscoelastic tests including thromboelastography (TEG) and rotational thromboelastometry (ROTEM) are being used in patients with severe hemorrhage at trauma centers to guide resuscitation. Several recent studies demonstrated hypercoagulability in female trauma patients that was associated with a survival advantage. The objective of our study was to elucidate the effects of gender differences in TEG/ROTEM values on survival in trauma patients with severe hemorrhage. METHODS: A retrospective review of consecutive adult patients receiving massive transfusion protocol (MTP) at 7 Level I trauma centers was performed from 2013 to 2018. Data were stratified by gender and then further examined by TEG or ROTEM parameters. Results were analyzed using univariate and multi-variate analyses. RESULTS: A total of 1565 patients were included with 70.9% male gender (n = 1110/1565). Female trauma patients were older than male patients (43.5 ± .9 vs 41.1 ± .6 years, P = .01). On TEG, females had longer reaction times (6.1 ± .9 min vs 4.8 ± .2 min, P = .03), increased alpha angle (68.6 ± .8 vs 65.7 ± .4, P < .001), and higher maximum amplitude (59.8 ± .8 vs 56.3 ± .4, P < .001). On ROTEM, females had significantly longer clot time (99.2 ± 13.7 vs 75.1 ± 2.6 sec, P = .09) and clot formation time (153.6 ± 10.6 sec vs 106.9 ± 3.8 sec, P < .001). When comparing by gender, no difference for in-hospital mortality was found for patients in the TEG or ROTEM group (P > .05). Multivariate analysis showed no survival difference for female patients (OR 1.11, 95% CI .83-1.50, P = .48). CONCLUSIONS: Although a difference between male and females was found on TEG/ROTEM for certain clotting parameters, no difference in mortality was observed. Prospective multi-institutional studies are needed.