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BACKGROUND: An important method employed to reduce door to balloon time (DTBT) for ST segment elevation Myocardial Infarctions (STEMIs) is a prehospital MI alert. The purpose of this retrospective study was to examine the effects of an educational intervention using a novel decision support method of STEMI notification and prehospital electrocardiogram (ECG) transmission on DTBT. METHODS: An ongoing database (April 4, 2000 - present) is maintained to track STEMI alerts. In 2007, an MI alert program began; emergency medicine physicians could activate a "prehospital MI alert". In October 2015, modems were purchased for Emergency Medical Services personnel to transmit ECGs. There was concurrent implementation of a decision support tool for identifying STEMI. Sex was assigned as indicated in the medical record. Data were analyzed in two groups: Pre-2016 (PRE) and 2016-2022 (POST). RESULTS: In total, 3,153 patients (1,301 PRE; 1,852 POST) were assessed; the average age was 65.2 years, 32.6% female, 87.7% white with significant differences in age and race between the two cohorts. Of the total 3,153 MI alerts, 239 were false activations, leaving 2,914 for analysis. 2,115 (72.6%) had cardiac catheterization while 16 (6.7%) of the 239 had a cardiac catheterization. There was an overall decrease in DTBT of 27.5% PRE to POST of prehospital ECG transmission (p < 0.001); PRE median time was 74.5 min vs. 55 min POST. There was no significant difference between rates of cardiac catheterization PRE and POST for all patients. After accounting for age, race, and mode of arrival, DTBT was 12.2% longer in women, as compared to men (p < 0.001) PRE vs. POST. DTBT among women was significantly shorter when comparing PRE to POST periods (median 77 min vs. 60 min; p = 0.0001). There was no significant sex difference in the proportion of those with cardiac catheterization between the two cohorts (62.5% vs. 63.5%; p = 0.73). CONCLUSION: Introduction of a decision support tool with prehospital ECG transmission with prehospital ECG transmission decreased overall DTBT by 20 min (27.5%). Women in the study had a 17-minute decrease in DTBT (22%), but their DTBT remained 12.2% longer than men for reasons that remain unclear.
ABSTRACT
Pain is a complex experience that remains largely unexplored in naturalistic contexts, hindering our understanding of its neurobehavioral representation in ecologically valid settings. To address this, we employed a multimodal, data-driven approach integrating intracranial electroencephalography, pain self-reports, and facial expression quantification to characterize the neural and behavioral correlates of naturalistic acute pain in twelve epilepsy patients undergoing continuous monitoring with neural and audiovisual recordings. High self-reported pain states were associated with elevated blood pressure, increased pain medication use, and distinct facial muscle activations. Using machine learning, we successfully decoded individual participants' high versus low self-reported pain states from distributed neural activity patterns (mean AUC = 0.70), involving mesolimbic regions, striatum, and temporoparietal cortex. High self-reported pain states exhibited increased low-frequency activity in temporoparietal areas and decreased high-frequency activity in mesolimbic regions (hippocampus, cingulate, and orbitofrontal cortex) compared to low pain states. This neural pain representation remained stable for hours and was modulated by pain onset and relief. Objective facial expression changes also classified self-reported pain states, with results concordant with electrophysiological predictions. Importantly, we identified transient periods of momentary pain as a distinct naturalistic acute pain measure, which could be reliably differentiated from affect-neutral periods using intracranial and facial features, albeit with neural and facial patterns distinct from self-reported pain. These findings reveal reliable neurobehavioral markers of naturalistic acute pain across contexts and timescales, underscoring the potential for developing personalized pain interventions in real-world settings.
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BACKGROUND: In plastic surgery academia, research output is heavily used as a metric of accreditation, from assessing residency applicants to evaluating faculty for promotion. The h index, defined as an author's h papers with at least h citations, is commonly used as a measure of academic success. However, the index itself disfavors junior researchers, favors publication quantity, and discounts highly cited works. Given the importance of bibliometrics within plastic surgery, there is a paramount need to adopt additional metrics to measure research productivity. The authors sought to validate the use of time-independent bibliometrics to complement the h index in measuring citation impact. METHODS: The genders and academic titles of plastic surgeons affiliated with US plastic surgery programs were recorded. Author publications were retrieved from Scopus. Bibliometrics software was used to calculate the following metrics per surgeon: h index, e index, and g index. Time-adjusted versions of these indices were used to correct for the number of years since first publication. Medians and interquartile ranges (IQRs) are reported. Departmental ranks were determined using the cumulative sum of time-corrected indices and compared with Doximity departmental research rankings. P < 0.05 was deemed significant. RESULTS: Indices were calculated for 871 academic plastic surgeons in 85 departments/divisions. Men had statistically greater h index (median, 13.0 [IQR, 7.0-21.0] vs 6.0 [IQR, 3.0-13]; P < 0.001), e index (18.3 [IQR, 10.0-28.7] vs 11.1 [IQR, 5.5-18.4]; P < 0.001), and g index (23.0 [IQR, 11.0-39.0] vs 11.0 [IQR, 5.0-22.0]; P < 0.001) than women. Professors had the highest median time-uncorrected indices. After adjusting for the number of years since an author's first publication, there were no significant differences in m quotient (men: 0.66 [IQR, 0.40-0.98] vs women: 0.57 [IQR, 0.33-0.90]; P = 0.05) and ec index (men: 0.93 [IQR, 0.62-1.3] vs women: 0.87 [IQR, 0.50-1.3]; P = 0.08) between genders. Departmental chairs had significantly higher indices than other faculty after correcting for time. The calculated program rankings were low to moderately correlated with that of Doximity (correlation coefficient τ = 0.49 [95% confidence interval, 0.37-0.59; P < 0.001]). CONCLUSIONS: Men and women have statistically similar citation patterns after correcting for the time. Citation differences between academic levels are less pronounced when controlling for time, suggesting comparable research quality between academic roles.
Subject(s)
Plastic Surgery Procedures , Surgeons , Female , Humans , Male , Accreditation , Benchmarking , BibliometricsABSTRACT
OBJECTIVE: Studies have demonstrated the benefits of diversity in neurosurgery. However, recruitment of minoritized groups within the neurosurgical workforce consistently lags other surgical specialties. While racial and gender demographics of neurosurgical residents are well documented, there has been minimal exploration into the multidimensional nature of diversity. The current study will evaluate the longitudinal diversity changes in neurosurgery residency programs compared with other surgical fields with validated diversity indices. METHODS: Nationwide reports including data about resident physicians were obtained from the American Medical Association and the Association of American Medical Colleges for the academic years 2008-2021. Self-reported race, biological sex, and medical school affiliation were recorded for surgical residents in the 10 commonly recognized surgical fields. The Gini-Simpson Diversity Index was used to calculate the effective counts (ECs) of races, sexes, and medical school types for each field. A Composite Diversity Index (CDI) comprising the aforementioned diversity traits was used to calculate the percentage of characteristics upon which two randomly selected residents within each specialty would differ. CDIs were calculated for each field in every year from 2008 to 2021. Median CDIs were compared between fields using Kruskal-Wallis testing, and p values < 0.05 were deemed statistically significant. RESULTS: Plastic surgery had the highest median sex EC (1.92, interquartile range [IQR] 1.78-1.95), indicating greater diversity, while neurosurgery had the third lowest sex EC (1.40, IQR 1.35-1.41). All surgical fields examined had fewer than 3 races effectively represented among their residents, despite there being 8 races present. Neurosurgery ranked among the top fields in effective racial diversity (EC 2.17, IQR 2.09-2.21) and medical school type diversity (EC 1.25, IQR 1.21-1.26). There were statistically significant differences in the sex, race, and school ECs between surgical specialties. While neurosurgery had a relatively low median overall diversity (CDI = 32.7, IQR 32.0-34.6), there was a consistent longitudinal increase in CDI from 2015 to 2021. CONCLUSIONS: Neurosurgery resident physicians have become increasingly diverse in the past decade but are more homogenous than residents in other surgical fields. The continued use of diversity indices to more accurately track diversity progress over time may better inform leaders in the field of how they may best focus their equity and inclusion efforts.
Subject(s)
Internship and Residency , Neurosurgery , Specialties, Surgical , United States , Humans , Neurosurgery/education , Neurosurgical Procedures , WorkforceABSTRACT
Primary cardiac tumors are rare, particularly in the elderly population. The patient described in this report presented with symptoms of dyspnea on exertion, leg swelling, and weight gain and was found to have two histologically distinct cardiac masses: atrial myxoma with concurrent aortic fibroelastoma. Given her history of cirrhosis and end-stage renal disease, the patient was a poor surgical candidate but opted for excision of both masses. The patient eventually succumbed to her cirrhosis six weeks after presentation. In this report, we advocate for further research into medical management for the unique presentation of concurrent primary cardiac tumors in high-operative-risk patients, particularly those whose symptoms are mostly due to tamponade.
ABSTRACT
In the current preclinical study, we demonstrate the therapeutic potential of sarcospan (SSPN) overexpression to alleviate cardiomyopathy associated with Duchenne muscular dystrophy (DMD) utilizing dystrophin-deficient mdx mice with utrophin haploinsufficiency that more accurately represent the severe disease course of human DMD. SSPN interacts with dystrophin, the DMD disease gene product, and its autosomal paralog utrophin, which is upregulated in DMD as a partial compensatory mechanism. SSPN transgenic mice have enhanced abundance of fully glycosylated α-dystroglycan, which may further protect dystrophin-deficient cardiac membranes. Baseline echocardiography reveals SSPN improves systolic function and hypertrophic indices in mdx and mdx:utr-heterozygous mice. Assessment of SSPN transgenic mdx mice by hemodynamic pressure-volume methods highlights enhanced systolic performance compared to mdx controls. SSPN restores cardiac sarcolemma stability, the primary defect in DMD disease, reduces fibrotic response and improves contractile function. We demonstrate that SSPN ameliorates more advanced cardiac disease in the context of diminished sarcolemma expression of utrophin and ß1D integrin that mitigate disease severity and partially restores responsiveness to ß-adrenergic stimulation. Overall, our current and previous findings suggest SSPN overexpression in DMD mouse models positively impacts skeletal, pulmonary and cardiac performance by addressing the stability of proteins at the sarcolemma that protect the heart from injury, supporting SSPN and membrane stabilization as a therapeutic target for DMD.