Porous Nanographenes, Graphene Nanoribbons, and Nanoporous Graphene Selectively Synthesized from the Same Molecular Precursor.

We demonstrate a family of molecular precursors based on 7,10-dibromo-triphenylenes that can selectively produce different varieties of atomically precise porous graphene nanomaterials through the use of different synthetic environments. Upon Yamamoto polymerization of these molecules in solution, the free rotations of the triphenylene units around the C-C bonds result in the formation of cyclotrimers in high yields. In contrast, in on-surface polymerization of the same molecules on Au(111) these rotations are impeded, and the coupling proceeds toward the formation of long polymer chains. These chains can then be converted to porous graphene nanoribbons (pGNRs) by annealing. Correspondingly, the solution-synthesized cyclotrimers can also be deposited onto Au(111) and converted into porous nanographenes (pNGs) via thermal treatment. Thus, both processes start with the same molecular precursor and end with a porous graphene nanomaterial on Au(111), but the type of product, pNG or pGNR, depends on the specific coupling approach. We also produced extended nanoporous graphenes (NPGs) through the lateral fusion of highly aligned pGNRs on Au(111) that were grown at high coverage. The pNGs can also be synthesized directly in solution by Scholl oxidative cyclodehydrogenation of cyclotrimers. We demonstrate the generality of this approach by synthesizing two varieties of 7,10-dibromo-triphenylenes that selectively produced six nanoporous products with different dimensionalities. The basic 7,10-dibromo-triphenylene monomer is amenable to structural modifications, potentially providing access to many new porous graphene nanomaterials. We show that by constructing different porous structures from the same building blocks, it is possible to tune the energy band gap in a wide range.

Tunable Magnetic Coupling in Graphene Nanoribbon Quantum Dots.

Carbon-based quantum dots (QDs) enable flexible manipulation of electronic behavior at the nanoscale, but controlling their magnetic properties requires atomically precise structural control. While magnetism is observed in organic molecules and graphene nanoribbons (GNRs), GNR precursors enabling bottom-up fabrication of QDs with various spin ground states have not yet been reported. Here the development of a new GNR precursor that results in magnetic QD structures embedded in semiconducting GNRs is reported. Inserting one such molecule into the GNR backbone and graphitizing it results in a QD region hosting one unpaired electron. QDs composed of two precursor molecules exhibit nonmagnetic, antiferromagnetic, or antiferromagnetic ground states, depending on the structural details that determine the coupling behavior of the spins originating from each molecule. The synthesis of these QDs and the emergence of localized states are demonstrated through high-resolution atomic force microscopy (HR-AFM), scanning tunneling microscopy (STM) imaging, and spectroscopy, and the relationship between QD atomic structure and magnetic properties is uncovered. GNR QDs provide a useful platform for controlling the spin-degree of freedom in carbon-based nanostructures.

Molecular remodeling in comorbidities associated with heart failure: a current update.

Recent advances in genomics and proteomics have helped in understanding the molecular mechanisms and pathways of comorbidities and heart failure. In this narrative review, we reviewed molecular alterations in common comorbidities associated with heart failure such as obesity, diabetes mellitus, systemic hypertension, pulmonary hypertension, coronary artery disease, hypercholesteremia and lipoprotein abnormalities, chronic kidney disease, and atrial fibrillation. We searched the electronic databases, PubMed, Ovid, EMBASE, Google Scholar, CINAHL, and PhysioNet for articles without time restriction. Although the association between comorbidities and heart failure is already well established, recent studies have explored the molecular pathways in much detail. These molecular pathways demonstrate how novels drugs for heart failure works with respect to the pathways associated with comorbidities. Understanding the altered molecular milieu in heart failure and associated comorbidities could help to develop newer medications and targeted therapies that incorporate these molecular alterations as well as key molecular variations across individuals to improve therapeutic outcomes. The molecular alterations described in this study could be targeted for novel and personalized therapeutic approaches in the future. This knowledge is also critical for developing precision medicine strategies to improve the outcomes for patients living with these conditions.

Impact of Frailty on COVID-19 Hospitalizations: Results from the California State Inpatient Database.

OBJECTIVES: Frail patients are at greater risk of experiencing adverse clinical outcomes in any critical illness due to decreased physiologic reserves, greater susceptibility to the adverse effects of treatment, and greater needs for intensive care. In this study, we sought to assess the prevalence of frailty and associated adverse in-hospital outcomes among coronavirus disease 2019 (COVID-19) hospitalizations using the 2020 California State Inpatient Database (SID). METHODS: For this study, we conducted a retrospective analysis of data from all COVID-19 hospital patients aged 18 years and older. We identified hospitalizations that were at high risk of frailty using the Hospital Frailty Risk Score. The primary outcome of our study was in-hospital mortality, and the secondary outcomes were prolonged length of stay, vasopressor use, mechanical ventilation, and intensive care unit admission. RESULTS: The prevalence of frailty was 44.3% among COVID-19 hospitalizations. Using propensity score matching analysis, we found that the odds of mortality (odds ratio [OR] 4.54, 95% confidence interval [CI] 4.28-4.82), prolonged length of stay (OR 2.81, 95% CI 2.70-2.90), vasopressor use (OR 8.65, 95% CI 7.45-10.03), mechanical ventilation (OR 6.90, 95% CI 6.47-7.35), and intensive care unit admission (OR 7.17, 95% CI 6.71-7.66) were significantly higher among the group of frail patients. CONCLUSION: Our findings show that frailty could be used for assessing and risk stratifying patients for improved hospital outcomes.

Gender Differences in Hospital Outcomes among COVID-19 Hospitalizations.

OBJECTIVES: Many epidemiological studies have shown that coronavirus disease 2019 (COVID-19) disproportionately affects males, compared with females, although other studies show that there were no such differences. The aim of the present study was to assess differences in the prevalence of hospitalizations and in-hospital outcomes between the sexes, using a larger administrative database. METHODS: We used the 2020 California State Inpatient Database for this retrospective analysis. International Classification of Diseases, Tenth Revision, Clinical Modification diagnosis code U07.1 was used to identify COVID-19 hospitalizations. These hospitalizations were subsequently stratified by male and female sex. Diagnosis and procedures were identified using the International Classification of Diseases, Tenth Revision, Clinical Modification codes. The primary outcome of the study was hospitalization rate, and secondary outcomes were in-hospital mortality, prolonged length of stay, vasopressor use, mechanical ventilation, and intensive care unit (ICU) admission. RESULTS: There were 95,180 COVID-19 hospitalizations among patients 18 years and older, 52,465 (55.1%) of which were among men and 42,715 (44.9%) were among women. In-hospital mortality (12.4% vs 10.1%), prolonged length of hospital stays (30.6% vs 25.8%), vasopressor use (2.6% vs 1.6%), mechanical ventilation (11.8% vs 8.0%), and ICU admission rates (11.4% versus 7.8%) were significantly higher among male compared with female hospitalizations. Conditional logistic regression analysis showed that the odds of mortality (odds ratio [OR] 1.38, 95% confidence interval [CI] 1.38-1.44), hospital lengths of stay (OR 1.35, 95% CI 1.31-1.39), vasopressor use (OR 1.59, 95% CI 1.51-1.66), mechanical ventilation (OR 1.62, 95% CI 1.47-1.78), and ICU admission rates (OR 1.58, 95% CI 1.51-1.66) were significantly higher among male hospitalizations. CONCLUSION: Our findings show that male sex is an independent and strong risk factor associated with COVID-19 severity.

Inducing Electric Current in Graphene Using Ionic Flow.

Classical nanofluidic frameworks account for the confined fluid and ion transport under an electrostatic field at the solid-liquid interface, but the electronic property of the solid is often overlooked. Harvesting the interaction of the nanofluidic transport with the electron transport in solid requires a route effectively coupling ion and electron dynamics. Here we report a nanofluidic analogy of Coulomb drag for exploring the dynamic ion-electron interactions at the liquid-graphene interface. An induced electric current in graphene by ionic flow with no bias directly applied to the graphene channel is observed experimentally, featuring an opposite electron current direction to the ion current. Our experiments and ab initio calculations show that the current generation stems from the confined ion-electron interactions via a nanofluidic Coulomb drag mechanism. Our findings may open up a new dimension for nanofluidics and transport control by ion-electron coupling.

Mapping Nanoscale Electrostatic Field Fluctuations around Graphene Dislocation Cores Using Four-Dimensional Scanning Transmission Electron Microscopy (4D-STEM).

Defects in crystalline lattices cause modulation of the atomic density, and this leads to variations in the associated electrostatics at the nanoscale. Mapping these spatially varying charge fluctuations using transmission electron microscopy has typically been challenging due to complicated contrast transfer inherent to conventional phase contrast imaging. To overcome this, we used four-dimensional scanning transmission electron microscopy (4D-STEM) to measure electrostatic fields near point dislocations in a monolayer. The asymmetry of the atomic density in a (1,0) edge dislocation core in graphene yields a local enhancement of the electric field in part of the dislocation core. Through experiment and simulation, the increased electric field magnitude is shown to arise from "long-range" interactions from beyond the nearest atomic neighbor. These results provide insights into the use of 4D-STEM to quantify electrostatics in thin materials and map out the lateral potential variations that are important for molecular and atomic bonding through Coulombic interactions.

Frailty among stroke patients and its effects on hospital outcomes.

BACKGROUND: Although assessment of frailty is increasingly being included in routine practice, its effects on hospital outcomes is not well studied. In this study, we used a national database to estimate the effects of frailty on hospital outcomes among stroke patients. METHODS: This study was a retrospective analysis of data from Nationwide Inpatient Sample (NIS) database collected during the years 2016 to 2019. Adult patients 45 years and older with a primary diagnosis of stroke were included for the analysis. Primary outcome was frequency of frailty among stroke patients. Secondary outcomes were in-hospital mortality, prolonged length of stay, mechanical ventilation, and acute renal failure. Frailty levels were assessed by using the Hospital Frailty Risk Score (HFRS). RESULTS: Among 2,031,085 stroke hospitalizations, 362,140 (17.8 %) were non-frail, 1,333,000 (65.6 %) were pre-frail, and 335,945 (16.6 %) were frail. Regression analysis showed that the odds of mortality were significantly higher among frail (aOR, 2.82, 95 % CI: 2.63-3.04) and pre-frail (aOR, 1.62, 95 % CI: 1.53-1.73) patients, compared to non-frail patients. Similarly, the odds of mechanical ventilation were significantly higher among frail (aOR, 9.72, 95 % CI: 8.84-10.69) and pre-frail (aOR, 3.41, 95 % CI: 3.12-3.73) patients. The odds of acute renal failure were significantly higher among frail (aOR, 6.96, 95 % CI: 6.62-7.33) and pre-frail (aOR, 2.94, 95 % CI: 2.80-3.08) patients. CONCLUSION: Collaborative efforts by neurologists, neurosurgeons, and physiatrists towards identifying frailty and incorporating it in risk estimation measures could help improve management strategies, resource utilization, and optimization of patient outcomes among frail stroke patients.

Healthcare expenditure trends among adult stroke patients in the United States, 2011-2020.

BACKGROUND: In the US, between 2018 and 2019, approximately $57 billion were expended on stroke and related conditions. The aim of this study was to understand trends in direct healthcare expenditures among stroke patients using novel cost estimation methods and a nationally representative database. METHODS: This study was a retrospective analysis of 193,003 adults, ≥18 years of age, using the Medical Expenditure Panel Survey during 2009-2016. Manning and Mullahy's two-part model were used to calculate adjusted mean and incremental medical expenditures after adjusting for covariates. RESULTS: The mean (Standard Deviation) direct annual healthcare expenditure among stroke patients was $16,979.0 ($16,222.0- $17,736.0) and was nearly 3 times greater than non-stroke participants which were $5,039.7 ($4,951.0-$5,128.5) and were mainly spent on inpatient services, prescription medications, and office-based visits. Stroke patients had an additional healthcare expenditure of $4096.0 (3543.9, 4648.1) per person per year, compared to participants without stroke after adjusting for covariates (P<0.001). The total mean annual direct healthcare expenditure for stroke survivors increased from $16,142.0 (15,017.0-17,267.0) in 2007-2008 to $16,979.0 (16,222.0-17,736.0) in 2015-2016. CONCLUSION: Our study showed that stroke survivors had significantly greater healthcare expenses, compared to non-stroke individuals, mainly due to higher expenditures on inpatient services, prescription drugs, and office visits. These findings are concerning because the prevalence of stroke is projected to increase due to aging population and increased survival rates.

Relationship between insurance status and interhospital transfers among cancer patients in the United States.

BACKGROUND: The relationship between insurance status and interhospital transfers has not been adequately researched among cancer patients. Hence this study aimed for understanding this relationship using a nationally representative database. METHODS: A retrospective analysis was conducted using National Inpatient Sample (NIS) data collected during 2010-2016 and included all cancer hospitalization between 18 and 64 years of age. Interhospital transfers were compared based on insurance status (Medicare, Medicaid, private, and uninsured). Weighted multivariable logistic regressions were used to calculate the odds of interhospital transfers based on insurance status, after adjusting for many covariates. RESULTS: There were 3,580,908 weighted cancer hospitalizations, of which 72,353 (2.02%) had interhospital transfers. Uninsured patients had significantly higher rates of interhospital transfers, compared to those with Medicare (P = 0.005) and private insurance (P < 0.001). Privately insured patients had significantly lower rates of interhospital transfers, compared to those with Medicare (P < 0.001) and Medicaid (P < 0.001). Logistic regression analyses showed that the odds of having interhospital transfers were significantly higher among uninsured (adjusted odds ratio [aOR], 1.57, 95% CI: 1.45-1.69), Medicare (aOR, 1.38, 95% CI: 1.32-1.45) and Medicaid (aOR, 1.23, 95% CI: 1.16-1.30) patients when compared to those with private insurance coverages. CONCLUSION: Among cancer patients, uninsured and Medicare and Medicaid beneficiaries were more likely to experience interhospital transfers. In addition to medical reasons, factors such as affordability and socioeconomic status are influencing interhospital transfer decisions, indicating existing healthcare disparities. Further studies should focus on identifying the causal associations between factors explored in this study as well as additional unexplored factors.

In-hospital outcomes of transesophageal versus intracardiac echocardiography guided left atrial appendage closure.

BACKGROUND: Transesophageal echocardiogram (TEE) is the preferred imaging modality to guide transcatheter left atrial appendage closure (LAAC). Intracardiac echocardiography (ICE) has evolved as a less invasive alternative to TEE. Several observational studies have shown similar success rates and perioperative complications between TEE and ICE for LAAC. OBJECTIVES: We sought to examine the temporal trends and patient characteristics of TEE versus ICE use in LAAC using a national database. We also evaluated hospital outcomes including periprocedural complications, mortality, and length of hospital stay. METHODS: This is a retrospective analysis of data from the National Readmission Database, collected from 2016 to 2018. The primary outcome was major adverse events (MAE) defined as in-hospital mortality, cardiac arrest, pericardial effusion with or without tamponade, pericardiocentesis or window pericardiocentesis and pericardial window, pericardial effusion and tamponade, and hemorrhage requiring transfusion. RESULTS: Trend analysis showed that TEE-guided LAAC increased from 96.6% in 2016 to 98.4% in 2018 (relative increase, 1.9%), while ICE-guided LAAC decreased from 3.4% to 1.6% during the same period (relative decrease, 53%, p for trend = 0.08). In the unmatched cohorts, the MAE was significantly lower in TEE-guided LAAC compared to ICE-guided LAAC (6.5% vs. 9.3%, p = 0.022). In the propensity score matching analysis, MAE remained significant (5.6% vs. 9.4%, p < 0.001). The incidence of pericardial effusion with or without tamponade remained significantly lower in the TEE group (2.3% vs. 5.8%, p < 0.001). Length of stay (3.4 vs. 1.9 days, p < 0.001) and hospitalization cost ($34,826 vs. $20,563, p < 0.001) remained significantly lower for TEE-guided LAAC. CONCLUSIONS: Compared to ICE, the incidence of MAE was significantly lower for TEE-guided LAAC, driven mainly by less pericardial effusion events. Large-scale randomized trials are needed to confirm the findings of the current and previous studies.

In-hospital outcomes after transcatheter edge-to-edge mitral valve repair in patients with chronic kidney disease: An analysis from the 2010-2016 National inpatient sample.

OBJECTIVES: To assess the outcomes following transcatheter edge-to-edge mitral valve repair (TMVr) in patients with chronic kidney disease (CKD). BACKGROUND: Percutaneous TMVr is beneficial in high surgical risk patients with severe mitral regurgitation (MR). However, those with CKD are not well studied. METHODS: Utilizing the International Classification of Disease (ninth and tenth revision, clinical modification codes) and the Nationwide Inpatient Sample database, we identified 9,228 patients who underwent TMVr during 2010-2016, including those with no or mild CKD (group 1, n = 6,654 [72.11%]), moderate or severe CKD (group 2, n = 2,125 [23.03%]) and end-stage renal disease (ESRD) on dialysis (group 3, n = 449 [4.86%]). In-hospital clinical outcomes, length of stay and cost were assessed. RESULTS: In-hospital mortality increased numerically as CKD severity increased, but not statistically different between groups (1.8, 3.3, and 4.5% respectively in group 1, 2, and 3, p = .07). Moderate to severe CKD (group 2) was an independent predictor of acute renal failure requiring hemodialysis (ARFD) (OR: 3.51, CI: 2.33-5.28, p < .0001), the composite outcome of death, ARFD or stroke [OR: 3.15, 95% CI: 2.10-4.76, p < .0001] and extended length of stay [OR: 1.73, 95% CI: 1.24-2.42), p = .001] while ESRD (group 3) was an independent predictor of higher hospital cost [OR: 1.66, 95% CI: 1.01-2.74), p = .04] as compared with no or mild CKD (group 1). CONCLUSIONS: High surgical risk patients with severe MR commonly have associated comorbidities including CKD. TMVr outcomes appear to worsen with worsening CKD and therefore careful clinical case selection and further studies evaluating TMVr outcomes in CKD patients is warranted.

Association between vitamin D deficiency and hypothyroidism: results from the National Health and Nutrition Examination Survey (NHANES) 2007-2012.

PURPOSE: Many smaller studies have previously shown a significant association between thyroid autoantibody induced hypothyroidism and lower serum vitamin D levels. However, these finding have not been confirmed by large-scale studies. In this study, we evaluated the relationship between hypothyroidism and vitamin D levels using a large population-based data. METHODS: For this study, we used National Health and Nutrition Examination Survey (NHANES) during the years 2007-2012. We categorized participants into three clinically relevant categories based on vitamin D levels: optimal, intermediate and deficient. Participants were also split into hypothyroid and hyperthyroid. Weighted multivariable logistic regression analyses were used to calculate the odds of being hypothyroid based on vitamin D status. RESULTS: A total of 7943 participants were included in this study, of which 614 (7.7%) were having hypothyroidism. Nearly 25.6% of hypothyroid patients had vitamin D deficiency, compared to 20.6% among normal controls. Adjusted logistic regression analyses showed that the odds of developing hypothyroidism were significantly higher among patients with intermediate (adjusted odds ratio [aOR], 1.7, 95% CI: 1.5-1.8) and deficient levels of vitamin D (aOR, 1.6, 95% CI: 1.4-1.9). CONCLUSION: Low vitamin D levels are associated with autoimmune hypothyroidism. Healthcare initiatives such as mass vitamin D deficiency screening among at-risk population could significantly decrease the risk for hypothyroidism in the long-term.

Lack of Efficacy of the Neutropenic Diet in Decreasing Infections among Cancer Patients: A Systematic Review.

The objective of this systematic review is to evaluate the existing evidence supporting the effectiveness of the neutropenic diet in decreasing infection and mortality among cancer patients. We searched MEDLINE, EMBASE, Cochrane Central Register of Controlled Trials and Scopus for relevant articles published from database inception until March 2019. The Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines were followed for this review. Individual studies were evaluated using the Oxford Center for Evidence-Based Medicine guidelines. A total of 473 articles were identified and 11 articles were selected after assessing eligibility. Our review showed that the neutropenic diet does not decrease infection rates or mortality among cancer patients. Currently, there is no uniform definition for the neutropenic diet across different institutions. For example, some institutions follow general food safety practices while others avoid foods that increase exposure to microbes and bacteria, and some follow both. Given these differences in practice regarding what constitutes a neutropenic diet, it is advisable that safe food handling and preparation practices recommended by the Food and Drug Administration be uniformly followed for neutropenic patients.

Predictive value of metabolomic biomarkers for cardiovascular disease risk: a systematic review and meta-analysis.

Background: Metabolomic analysis aids in the identification of novel biomarkers by revealing the metabolic dysregulations underlying cardiovascular disease (CVD) aetiology. The aim of this study was to evaluate which metabolic biomarkers could add value for the prognosis of CVD events using meta-analysis.Methods: The PRISMA guideline was followed for the systematic review. For the meta-analysis, biomarkers were included if they were tested in multivariate prediction models for fatal CVD outcomes. We grouped the metabolites in biological classes for subgroup analysis. We evaluated the prediction performance of models which reported discrimination and/or reclassification statistics.Results: For the systematic review, there were 22 studies which met the inclusion/exclusion criteria. For the meta-analysis, there were 41 metabolites grouped into 8 classes from 19 studies (45,420 subjects, 5954 events). A total of 39 of the 41 metabolites were significant with a combined effect size of 1.14 (1.07-1.20). For the predictive performance assessment, there were 21 studies, 54,337 subjects, 6415 events. The average change in c-statistic after adding the biomarkers to a clinical model was 0.0417 (SE 0.008).Conclusions: This study provides evidence that metabolomic biomarkers, mainly lipid species, have the potential to provide additional prognostic value. Current data are promising, although approaches and results are heterogeneous.

A risk model for prediction of 30-day readmission rates after surgical treatment for colon cancer.

PURPOSE: The purpose of this study was to develop a risk model for the prediction of 30-day unplanned readmission rate after surgery for colon cancer. METHOD: This study was a cross-sectional analysis of data from Nationwide Readmissions Database, collected during 2010-2014. Patients ≥ 18 years of age who underwent surgery for colon cancer were included in the study. The primary outcome of the study was 30-day unplanned readmission rate. RESULTS: There were 141,231 index hospitalizations for surgical treatment of colon cancers and 16,551 had unplanned readmissions. Age, sex, primary payer, Elixhauser comorbidity index, node positive or metastatic disease, length of stay, hospital bedsize, teaching status, hospital ownership, presence of stoma, surgery types, surgery procedures, infectious complications, surgical complications, mechanical wounds, pulmonary complications, and gastrointestinal complications were selected for the risk analysis during backward regression model. Based on the estimated coefficients of selected variables, risk scores were developed and stratified as low risk (≤ 1.08), moderate risk (> 1.08 to ≤ 1.5), and high risk (> 1.5) for unplanned readmission. Validation analysis (n = 42,269) showed that 7.1% of low-risk individuals, 11.1% of moderate-risk individuals, and 17.1% of high-risk individuals experienced unplanned readmissions (P < 0.001). Pairwise comparisons also showed statistically significant differences between low-risk and moderate-risk participants (P < 0.001), between moderate-risk and high-risk participants (P < 0.001), and between low-risk and high-risk participants (P < 0.001). The area under the ROC curve was 0.622. CONCLUSIONS: Our risk model could be helpful for risk-stratifying patients for readmission after surgical treatment for colon cancer. This model needs further validation by incorporating all possible clinical variables.

Increasing Sepsis Rates in the United States: Results From National Inpatient Sample, 2005 to 2014.

OBJECTIVES: To examine the trends in hospitalization rates, mortality, and costs for sepsis during the years 2005 to 2014. METHODS: This was a retrospective serial cross-sectional analysis of patients ≥18 years admitted for sepsis in National Inpatient Sample. Trends in sepsis hospitalizations were estimated, and age- and sex-adjusted rates were calculated for the years 2005 to 2014. RESULTS: There were 541 694 sepsis admissions in 2005 and increased to 1 338 905 in 2014. Sepsis rates increased significantly from 1.2% to 2.7% during the years 2005 to 2014 (relative increase: 123.8%; P trend < .001). However, the relative increase changed by 105.8% (P trend < .001) after adjusting for age and sex and maintained significance. Although total cost of hospitalization due to sepsis increased significantly from US$22.2 to US$38.1 billion (P trend < .001), the mean hospitalization cost decreased significantly from US$46,470 to US$29,290 (P trend < .001). CONCLUSIONS: Hospitalizations for sepsis increased during the years 2005 to 2014. Our study paradoxically found declining rates of in-hospital mortality, length of stay, and mean hospitalization cost for sepsis. These findings could be due to biases introduced by International Classification of Diseases, Ninth Revision, Clinical Modification coding rules and increased readmission rates or alternatively due to increased awareness and surveillance and changing disposition status. Standardized epidemiologic registries should be developed to overcome these biases.

Hemiarthroplasty vs Total Hip Arthroplasty for Femoral Neck Fractures: 2010-2017 Trends in Complication Rates.

BACKGROUND: Optimal treatment of femoral neck fractures (FNFs) remains debated. Recent data suggest that total hip arthroplasty (THA) confers improved functional outcomes compared to hemiarthroplasty (HA) in active patients. However, temporal trends in complication rates between these treatments lack study. METHODS: The National Surgical Quality Improvement Program database was retrospectively queried to compare differences between HA and THA over time (2010-2012, 2013-2015, and 2016-2017) in blood transfusions, operation time, major complications, minor complications, and 30-day readmission, among FNF patients aged ≥50 years. Analyses adjusted for age, gender, anesthesia type, smoking, body mass index, hypertension, bleeding disorder, steroid use, and American Society of Anesthesiologists classification. RESULTS: In total, 16,213 patients were identified. THA was associated with higher transfusion rates in 2010-2012 (mean = 0.34 vs 0.28, P = .001) and 2013-2015 (mean = 0.21 vs 0.19, P = .002), but not in 2016-2017 (mean = 0.13 vs 0.14, P = .146). Operation time was significantly higher for THA across all periods (P's < .001), but declined over time. In recent years, THA was associated with less major (2016-2017: 5.4% vs 10.2%, P = .02; 2013-2015: 5.3% vs 10.3%, P < .001) and minor (2016-2017: 6.2% vs 9.8%, P = .02; 2013-2015: 7.2% vs 12.4%, P < .001) complications compared to 2010-2012 (major: 7.2% vs 10.6%, P = .87; minor: 12.6% vs 10.1%, P = .89). No differences in 30-day readmission were noted. CONCLUSION: THA was associated with less major and minor complications in recent time periods compared to HA for the treatment of FNF, controlling for comorbidities. THA trends in transfusions and operation duration have improved over time compared to HA.

The Effect of a County Prehospital FAST-ED Initiative on Endovascular Treatment Times.

BACKGROUND: Acute stroke outcomes depend on timely reperfusion. In 3/2017, local EMS agencies implemented a prehospital triage algorithm with hospital bypass and field activation of the neurointerventional team using the Field Assessment Stroke Triage for Emergency Destination (FAST-ED). A score ≥4 bypasses to a comprehensive stroke center (CSC) and a score ≥6 also has the interventional team field activated off-hours. AIM: We analyzed effects of this initiative on volume, acute stroke transfers, treatment times, and outcomes and determined the tool's ability to predict large vessel occlusion. METHODS: Stroke cases brought to our center by EMS during 3/2016-2/2018 were analyzed, which included one year before and after FAST-ED implementation. Treatment times were compared on- vs. off-hours and to those with field activation. RESULTS: Of 1153 patients, 761 (67%) were coded as stroke and 235 (20%) underwent reperfusion. Age, sex, race/ethnicity, stroke severity, length of stay, door-to-needle, and 90-d mRS were comparable between periods. Scale compliance was 85%. Concordance rate of ±1 between EMS and calculated score was 53%. Compared to the previous year, door-to-puncture (DTP) improved by 17 min (p < 0.01) overall, 25 min (p < 0.001) off-hours, and 33 min (p < 0.05) with field activation. A cutoff of 4 vs. 6 would have led to 140% increase in field activations but only 36% increase in procedures. CONCLUSIONS: This prehospital initiative led to faster DTP by up to 33 min. The highest impact was off-hours with field activation. Only 1/3 of activations led to endovascular treatment. FAST-ED≥6 appears to be appropriate for field activation.

Impact of Telemedicine on Mortality, Length of Stay, and Cost Among Patients in Progressive Care Units: Experience From a Large Healthcare System.

OBJECTIVES: To determine whether Telemedicine intervention can affect hospital mortality, length of stay, and direct costs for progressive care unit patients. DESIGN: Retrospective observational. SETTING: Large healthcare system in Florida. PATIENTS: Adult patients admitted to progressive care unit (PCU) as their primary admission between December 2011 and August 2016 (n = 16,091). INTERVENTIONS: Progressive care unit patients with telemedicine intervention (telemedicine PCU [TPCU]; n = 8091) and without telemedicine control (nontelemedicine PCU [NTPCU]; n = 8000) were compared concurrently during study period. MEASUREMENTS AND MAIN RESULTS: Primary outcome was progressive care unit and hospital mortality. Secondary outcomes were hospital length of stay, progressive care unit length of stay, and mean direct costs. The mean age NTPCU and TPCU patients were 63.4 years (95% CI, 62.9-63.8 yr) and 71.1 years (95% CI, 70.7-71.4 yr), respectively. All Patient Refined-Diagnosis Related Group Disease Severity (p < 0.0001) and All Patient Refined-Diagnosis Related Group patient Risk of Mortality (p < 0.0001) scores were significantly higher among TPCU versus NTPCU. After adjusting for age, sex, race, disease severity, risk of mortality, hospital entity, and organ systems, TPCU survival benefit was 20%. Mean progressive care unit length of stay was lower among TPCU compared with NTPCU (2.6 vs 3.2 d; p < 0.0001). Postprogressive care unit hospital length of stay was longer for TPCU patients, compared with NTPCU (7.3 vs 6.8 d; p < 0.0001). The overall mean direct cost was higher for TPCU ($13,180), compared with NTPCU ($12,301; p < 0.0001). CONCLUSIONS: Although there are many studies about the effects of telemedicine in ICU, currently there are no studies on the effects of telemedicine in progressive care unit settings. Our study showed that TPCU intervention significantly decreased mortality in progressive care unit and hospital and progressive care unit length of stay despite the fact patients in TPCU were older and had higher disease severity, and risk of mortality. Increased postprogressive care unit hospital length of stay and total mean direct costs inclusive of telemedicine costs coincided with improved survival rates. Telemedicine intervention decreased overall mortality and length of stay within progressive care units without substantial cost incurrences.