Sedation Vacations in Neurocritical Care: Friend or Foe?

PURPOSE OF REVIEW: To evaluate the role of sedation vacations in optimizing patient outcomes and enhancing the quality of care in neurological intensive care units (ICUs). We discuss the importance of sedation management in neurocritical care, considering recent research findings and clinical guidelines. RECENT FINDINGS: Recent studies have highlighted the significance of sedation interruption protocols in improving patient outcomes in the ICU setting. Evidence suggests that daily sedation interruptions can reduce the duration of mechanical ventilation, ICU length of stay, and mortality rates. However, the implementation of these protocols requires careful consideration of patient-specific factors and a multidisciplinary approach. Sedation vacations play a critical role in neurocritical care by reducing mechanical ventilation duration, ICU stay length, and mortality rates. Despite the benefits, the presence of complications must be addressed to avoid adverse outcomes. Continued research is necessary to refine these strategies and improve guideline quality, ensuring safe and effective sedation management in critically ill neurological patients.

HuBar: A Visual Analytics Tool to Explore Human Behavior based on fNIRS in AR Guidance Systems.

The concept of an intelligent augmented reality (AR) assistant has significant, wide-ranging applications, with potential uses in medicine, military, and mechanics domains. Such an assistant must be able to perceive the environment and actions, reason about the environment state in relation to a given task, and seamlessly interact with the task performer. These interactions typically involve an AR headset equipped with sensors which capture video, audio, and haptic feedback. Previous works have sought to facilitate the development of intelligent AR assistants by visualizing these sensor data streams in conjunction with the assistant's perception and reasoning model outputs. However, existing visual analytics systems do not focus on user modeling or include biometric data, and are only capable of visualizing a single task session for a single performer at a time. Moreover, they typically assume a task involves linear progression from one step to the next. We propose a visual analytics system that allows users to compare performance during multiple task sessions, focusing on non-linear tasks where different step sequences can lead to success. In particular, we design visualizations for understanding user behavior through functional near-infrared spectroscopy (fNIRS) data as a proxy for perception, attention, and memory as well as corresponding motion data (acceleration, angular velocity, and gaze). We distill these insights into embedding representations that allow users to easily select groups of sessions with similar behaviors. We provide two case studies that demonstrate how to use these visualizations to gain insights about task performance using data collected during helicopter copilot training tasks. Finally, we evaluate our approach by conducting an in-depth examination of a think-aloud experiment with five domain experts.

Self-Supervised Monocular Depth Estimation With Positional Shift Depth Variance and Adaptive Disparity Quantization.

Recently, attempts to learn the underlying 3D structures of a scene from monocular videos in a fully self-supervised fashion have drawn much attention. One of the most challenging aspects of this task is to handle independently moving objects as they break the rigid-scene assumption. In this paper, we show for the first time that pixel positional information can be exploited to learn SVDE (Single View Depth Estimation) from videos. The proposed moving object (MO) masks, which are induced by the depth variance to shifted positional information (SPI) and are referred to as 'SPIMO' masks, are highly robust and consistently remove independently moving objects from the scenes, allowing for robust and consistent learning of SVDE from videos. Additionally, we introduce a new adaptive quantization scheme that assigns the best per-pixel quantization curve for depth discretization, improving the fine granularity and accuracy of the final aggregated depth maps. Finally, we employ existing boosting techniques in a new way that self-supervises moving object depths further. With these features, our pipeline is robust against moving objects and generalizes well to high-resolution images, even when trained with small patches, yielding state-of-the-art (SOTA) results with four- to eight-fold fewer parameters than the previous SOTA techniques that learn from videos. We present extensive experiments on KITTI and CityScapes that show the effectiveness of our method.

"Aneurysmal Subarachnoid Hemorrhage and Cocaine Consumption: A Systematic Review and Metanalysis".

BACKGROUND: The use of cocaine can lead to a variety of neurologic complications, including cerebral vasoconstriction, ischemia, aneurysm formation, and aneurysm rupture. A previous study has shown that cocaine use is associated with an increased risk of subarachnoid hemorrhage (SAH). This study conducted a systematic review and meta-analysis of observational studies to assess the association between cocaine use and the risk of poor neurological outcomes and mortality in patients with SAH. METHODS: A systematic review and meta-analysis were performed following the meta-analysis of observational studies in epidemiology (MOOSE) declaration for systematic reviews and the Cochrane Manual of Systematic Reviews and Meta-Analyses guidelines. Randomized controlled trials (RCTs), nonrandomized clinical trials, and prospective and retrospective cohort studies that reported data about adults who suffered Aneurysmal Subarachnoid Hemorrhage (aSAH) after having consumed cocaine recreationally were included. Variables such as mortality, vasospasm, seizures, re-bleeding, and complications were analyzed. RESULTS: After a thorough selection process, 14 studies involving 116,141 patients, of which 2227 had a history of cocaine consumption, were included in the analysis. There was a significant increase in overall unfavorable outcomes in aSAH patients with a history of cocaine use (OR 5.51 CI 95% [4.26-7.13] P = <0.0001; I2 = 78%), with higher mortality and poor neurologic outcomes. There were no significant differences in the risk of hydrocephalus, seizures, or re-bleeding. Cocaine use was found to increase the risk of vasospasm and overall complications. CONCLUSIONS: This study insinuates that cocaine use is associated with worse clinical outcomes in aSAH patients. Despite the cocaine users did not exhibit a higher risk of certain complications such as hydrocephalus and seizures, they had an increased risk of vasospasm and overall complications. These findings highlight the importance of addressing the issue of cocaine consumption as a primary preventive measure to decrease the incidence of aSAH and improve patient outcomes.

ARGUS: Visualization of AI-Assisted Task Guidance in AR.

The concept of augmented reality (AR) assistants has captured the human imagination for decades, becoming a staple of modern science fiction. To pursue this goal, it is necessary to develop artificial intelligence (AI)-based methods that simultaneously perceive the 3D environment, reason about physical tasks, and model the performer, all in real-time. Within this framework, a wide variety of sensors are needed to generate data across different modalities, such as audio, video, depth, speech, and time-of-flight. The required sensors are typically part of the AR headset, providing performer sensing and interaction through visual, audio, and haptic feedback. AI assistants not only record the performer as they perform activities, but also require machine learning (ML) models to understand and assist the performer as they interact with the physical world. Therefore, developing such assistants is a challenging task. We propose ARGUS, a visual analytics system to support the development of intelligent AR assistants. Our system was designed as part of a multi-year-long collaboration between visualization researchers and ML and AR experts. This co-design process has led to advances in the visualization of ML in AR. Our system allows for online visualization of object, action, and step detection as well as offline analysis of previously recorded AR sessions. It visualizes not only the multimodal sensor data streams but also the output of the ML models. This allows developers to gain insights into the performer activities as well as the ML models, helping them troubleshoot, improve, and fine-tune the components of the AR assistant.

Prevalence, causes, and clinical course of patients with surgical reintervention due to complications during cesarean section.

OBJECTIVE: The objective of the study is to identify the prevalence, causes, and clinical evolution of patients with surgical reintervention due to complications during cesarean section. MATERIALS AND METHODS: The file of the Toco-Surgical Unit of the Gynecological Obstetrics Hospital No. 3 of the National Medical Center "La Raza" Mexican Institute of Social Security was reviewed to know the total number of patients undergoing cesarean section from January to December 2019 and cases with reintervention due to complications during cesarean section were selected. Their general data, the cause of reintervention, stay in the intensive care unit (ICU), hospital stay, and mortality were studied. The data were analyzed with descriptive statistics using the statistical program SPSS version 20. RESULTS: It was found that 3371 patients underwent cesarean section, of which 1.60% (54 cases) underwent reoperation for the following reasons: Unpacking 27.79%, obstetric hemorrhage 20.37%, bleeding due to uterine atony 20.37%, hysterotomy commissure hematoma 18.52%, uterine infiltration 3.70%, vascular injury 3.70%, bladder injury 3.70%, and colonic injury 1.85%. The ICU stay was 3.79 ± 2.03 days, hospital stay was 13.67 ± 11.16 days, and mortality was 1.85%. CONCLUSION: The prevalence of reintervention was reduced, bleeding was the main cause, and the clinical evolution was satisfactory with low mortality.

OBJETIVO: Identificar la prevalencia, causas y evolución clínica de las pacientes con reintervención quirúrgica por complicaciones durante la cesárea. MATERIAL Y MÉTODOS: Se revisó el archivo de la Unidad de Toco-Quirúrgica del Hospital Ginecobstetricia No. 3 del Centro Médico Nacional "La Raza" Instituto Mexicano del Seguro Social para conocer el total de pacientes sometidas a cesárea desde enero hasta diciembre de 2019 y se seleccionaron los casos con reintervención por complicaciones durante la cesárea. Se estudiaron sus datos generales, la causa de reintervención, estancia en la Unidad de Cuidados Intensivos (UCI), estancia en hospital y la mortalidad. Los datos se analizaron con estadística descriptiva utilizando el programa estadístico SPSS versión 20. RESULTADOS: Se encontró que 3371 pacientes fueron sometidas a cesárea de las cuales 1.60% (54 casos) se reintervinieron por las siguientes causas: desempaquetamiento 27.79%, hemorragia obstétrica 20.37%, sangrado por atonía uterina 20.37%, hematoma de la comisura de histerotomía 18.52%, infiltración uterina 3.70%, lesión vascular 3.70%, lesión vesical 3.70% y lesión colónica 1.85%. La estancia en UCI fue 3.79 ± 2.03 días, estancia en hospital 13.67 ± 11.16 días y mortalidad 1.85%. CONCLUSIÓN: La prevalencia de reintervención fue reducida, el sangrado fue la principal causa y la evolución clínica resultó satisfactoria con baja mortalidad.

YouTube and pudendal neuralgia: Is it a good source of information for patients?

OBJECTIVE: This study aims to identify the shortcomings and quality content of YouTube videos and its effectiveness as a source of patient information on pudendal neuralgia treatment. METHODS: A search was conducted on YouTube using the words "pudendal neuralgia physical therapy," "medications for pudendal neuralgia," "pudendal nerve block," "pudendal neuralgia surgery," and "alternative treatments for pudendal neuralgia." The results were analyzed based on the source, general descriptive statistics, the intended audience, and five content areas. The DISCERN scoring system was used to evaluate the quality of videos. RESULTS: After the search, 73 videos met the inclusion criteria for further analysis. The majority of these videos (61.64%) were intended to target the general population, whereas a smaller percentage were identified as professional (41.10%) or targeted for physicians (35.62%). From the videos included, 10 (13.70%) described treatment options in a balanced and evidence-based manner. The higher DISCERN score positively correlated with the presence of this last content criterion. With a total DISCERN mean score of 35.42, a significant proportion of the videos (41.10%) were rated very poor. The remaining videos were classified as poor (23.29%), fair (19.18%), good (8.22%), and excellent (8.22%). CONCLUSION: The quality of the information included in YouTube videos regarding pudendal neuralgia treatment was considered generally poor. Healthcare providers must recognize the potential influence of this platform on patients' understanding of pudendal neuralgia treatment. There is a need for additional research and randomized studies regarding YouTube content about this condition.

Safety of routine protamine in the reversal of heparin in percutaneous coronary intervention: A systematic review and meta-analysis.

OBJECTIVES: To determine the safety and efficacy of protamine in the reversal of heparin in percutaneous coronary intervention (PCI). BACKGROUND: Heparin is routinely used for anticoagulation in PCI. Protamine is not used routinely to reverse heparin's effects in PCI, partly due to the perceived risk of stent thrombosis. METHODS: Relevant studies published in English were searched for in PubMed, Embase, and Cochrane databases from inception to April 26th, 2023. Our primary outcome of interest was stent thrombosis in patients receiving PCI for all indications. Secondary outcomes included mortality, major bleeding complications, and hospitalization length. Dichotomous outcomes were analyzed using a Mantel-Haenszel random-effects model and expressed as odds ratios (OR) with their 95% confidence intervals (CI), while continuous outcomes were analyzed using an inverse variance random-effects model expressed as mean differences (MD) with their 95% CI. RESULTS: 11 studies were included in our analysis. Protamine use was not associated with stent thrombosis: OR 0.58, 95% CI: 0.33, 1.01 (p = 0.05) nor with mortality (p = 0.89). Protamine administration was associated with a decreased incidence of major bleeding complications: OR 0.48; 95% CI: 0.25, 0.95 (p = 0.03) and decreased length of hospitalization (p < 0.0001). CONCLUSIONS: In patients pre-treated with dual antiplatelet therapy (DAPT), protamine may be a safe and efficacious option to facilitate earlier sheath removal, reduce major bleeding complications, and reduce length of hospitalization without increased risk of stent thrombosis.

Potential Role of Protein Kinase FAM20C on the Brain in Raine Syndrome, an In Silico Analysis.

FAM20C (family with sequence similarity 20, member C) is a serine/threonine-specific protein kinase that is ubiquitously expressed and mainly associated with biomineralization and phosphatemia regulation. It is mostly known due to pathogenic variants causing its deficiency, which results in Raine syndrome (RNS), a sclerosing bone dysplasia with hypophosphatemia. The phenotype is recognized by the skeletal features, which are related to hypophosphorylation of different FAM20C bone-target proteins. However, FAM20C has many targets, including brain proteins and the cerebrospinal fluid phosphoproteome. Individuals with RNS can have developmental delay, intellectual disability, seizures, and structural brain defects, but little is known about FAM20C brain-target-protein dysregulation or about a potential pathogenesis associated with neurologic features. In order to identify the potential FAM20C actions on the brain, an in silico analysis was conducted. Structural and functional defects reported in RNS were described; FAM20C targets and interactors were identified, including their brain expression. Gene ontology of molecular processes, function, and components was completed for these targets, as well as for potential involved signaling pathways and diseases. The BioGRID and Human Protein Atlas databases, the Gorilla tool, and the PANTHER and DisGeNET databases were used. Results show that genes with high expression in the brain are involved in cholesterol and lipoprotein processes, plus axo-dendritic transport and the neuron part. These results could highlight some proteins involved in the neurologic pathogenesis of RNS.

Insulin: A connection between pancreatic ß cells and the hypothalamus.

Insulin is a hormone secreted by pancreatic ß cells. The concentration of glucose in circulation is proportional to the secretion of insulin by these cells. In target cells, insulin binds to its receptors and activates phosphatidylinositol-3-kinase/protein kinase B, inducing different mechanisms depending on the cell type. In the liver it activates the synthesis of glycogen, in adipose tissue and muscle it allows the capture of glucose, and in the hypothalamus, it regulates thermogenesis and appetite. Defects in insulin function [insulin resistance (IR)] are related to the development of neurodegenerative diseases in obese people. Furthermore, in obesity and diabetes, its role as an anorexigenic hormone in the hypothalamus is diminished during IR. Therefore, hyperphagia prevails, which aggravates hyper-glycemia and IR further, becoming a vicious circle in which the patient cannot regulate their need to eat. Uncontrolled calorie intake induces an increase in reactive oxygen species, overcoming cellular antioxidant defenses (oxidative stress). Reactive oxygen species activate stress-sensitive kinases, such as c-Jun N-terminal kinase and p38 mitogen-activated protein kinase, that induce phos-phorylation in serine residues in the insulin receptor, which blocks the insulin signaling pathway, continuing the mechanism of IR. The brain and pancreas are organs mainly affected by oxidative stress. The use of drugs that regulate food intake and improve glucose metabolism is the conventional therapy to improve the quality of life of these patients. Currently, the use of antioxidants that regulate oxidative stress has given good results because they reduce oxidative stress and inflammatory processes, and they also have fewer side effects than synthetic drugs.

Interplay of retinol binding protein 4 with obesity and associated chronic alterations (Review).

Obesity is a multifactorial disease, defined as excessive fat deposition in adipose tissue. Adipose tissue is responsible for the production and secretion of numerous adipokines that induce metabolic disorders. Retinol­binding protein 4 (RBP4) is an adipokine that transports vitamin A or retinol in the blood. High levels of RBP4 are associated with development of metabolic disease, including obesity, insulin resistance (IR), metabolic syndrome, and type 2 diabetes (T2D). The present review summarizes the role of RBP4 in obesity and associated chronic alterations. Excessive synthesis of RBP4 contributes to inflammatory characteristic of obesity by activation of immune cells and release of proinflammatory cytokines, such as TNFα and ILs, via the Toll­like receptor/JNK pathway. The retinol­RBP4 complex inhibits insulin signaling directly in adipocytes by activating Janus kinase 2 (JAK2)/STAT5/suppressor of cytokine signaling 3 signaling. This mechanism is retinol­dependent and requires vitamin A receptor stimulation by retinoic acid 6 (STRA6). In muscle, RBP4 is associated with increased serine 307 phosphorylation of insulin receptor substrate­1, which decreases its affinity to PI3K and promotes IR. In the liver, RBP4 increases hepatic expression of phosphoenolpyruvate carboxykinase, which increases production of glucose. Elevated serum RBP4 levels are associated with ß­cell dysfunction in T2D via the STRA6/JAK2/STAT1/insulin gene enhancer protein 1 pathway. By contrast, RBP4 induces endothelial inflammation via the NF­κB/nicotinamide adenine dinucleotide phosphate oxidase pathway independently of retinol and STRA6, which stimulates expression of proinflammatory molecules, such as vascular cell adhesion molecule 1, E­selectin, intercellular adhesion molecule 1, monocyte chemoattractant protein 1 and TNFα. RBP4 promotes oxidative stress by decreasing endothelial mitochondrial function; overall, it may serve as a useful biomarker in the diagnosis of obesity and prognosis of associated disease, as well as a potential therapeutic target for treatment of these diseases.

REIP: A Reconfigurable Environmental Intelligence Platform and Software Framework for Fast Sensor Network Prototyping.

Sensor networks have dynamically expanded our ability to monitor and study the world. Their presence and need keep increasing, and new hardware configurations expand the range of physical stimuli that can be accurately recorded. Sensors are also no longer simply recording the data, they process it and transform into something useful before uploading to the cloud. However, building sensor networks is costly and very time consuming. It is difficult to build upon other people's work and there are only a few open-source solutions for integrating different devices and sensing modalities. We introduce REIP, a Reconfigurable Environmental Intelligence Platform for fast sensor network prototyping. REIP's first and most central tool, implemented in this work, is an open-source software framework, an SDK, with a flexible modular API for data collection and analysis using multiple sensing modalities. REIP is developed with the aim of being user-friendly, device-agnostic, and easily extensible, allowing for fast prototyping of heterogeneous sensor networks. Furthermore, our software framework is implemented in Python to reduce the entrance barrier for future contributions. We demonstrate the potential and versatility of REIP in real world applications, along with performance studies and benchmark REIP SDK against similar systems.

Self-Supervised Deep Monocular Depth Estimation With Ambiguity Boosting.

We propose a novel two-stage training strategy with ambiguity boosting for the self-supervised learning of single view depths from stereo images. Our proposed two-stage learning strategy first aims to obtain a coarse depth prior by training an auto-encoder network for a stereoscopic view synthesis task. This prior knowledge is then boosted and used to self-supervise the model in the second stage of training in our novel ambiguity boosting loss. Our ambiguity boosting loss is a confidence-guided type of data augmentation loss that improves the accuracy and consistency of generated depth maps under several transformations of the single-image input. To show the benefits of the proposed two-stage training strategy with boosting, our two previous depth estimation (DE) networks, one with t-shaped adaptive kernels and the other with exponential disparity volumes, are extended with our new learning strategy, referred to as DBoosterNet-t and DBoosterNet-e, respectively. Our self-supervised DBoosterNets are competitive, and in some cases even better, compared to the most recent supervised SOTA methods, and are remarkably superior to the previous self-supervised methods for monocular DE on the challenging KITTI dataset. We present intensive experimental results, showing the efficacy of our method for the self-supervised monocular DE task.

The activation of hypothalamic AMP-activated protein kinase by oxidative stress is related to hyperphagia in diabetic rats.

OBJECTIVE: During diabetes, there are increased blood glucose levels and oxidative stress. The relationship between oxidative stress and the phosphorylation of AMP-activated protein kinase at the hypothalamic level has been little studied. The objective of this study was to analyze the relationship between oxidative stress and AMP-activated protein kinase activation in Wistar rats with hyperphagia and hyperglycemia. METHODS: Rats at 7, 14, and 28 days with diabetes were used. Control rats were included. Food intake was calculated to determine hyperphagia. The hypothalamus was extracted to evaluate oxidative stress markers by spectrophotometry; phosphorylation of AMP-activated protein kinase, growth hormone receptor 1a, and neuropeptide Y expression were determined by Western blot. RESULTS: There was a significant increase in the consumption of food in the experimental groups. The level of malondialdehyde decreased in the 7-day group (33%) and increased significantly in the 28-day group (90%), glutathione peroxidase activity increased in the 7-day group (70%) and decreased in the 28-day group (34%), and the phosphorylation of AMP-activated protein kinase increased significantly in the 28-day group (86%). Under ex-vivo conditions in animals with 28 days of hyperglycemia, glutathione peroxidase activity increased 195%, the malondialdehyde level decreased 87%, phosphorylation of AMP-activated protein kinase decreased 53%, and growth hormone receptor 1a expression decreased 66%, when treating hyperglycemic hypothalamic tissue with an antioxidant. NPY expression increased in hyperglycemia, and antioxidant treatment did not regulate its expression. CONCLUSIONS: The activation of AMP-activated protein kinase is related with an increase in oxidative stress markers in hyperglycemic and hyperphagic rats.

HIV and COVID-19 Coinfection: A Synergism That Results in More Severe Forms of Reactive Arthritis.

Reactive arthritis is defined as arthritis that arises after infection, where pathogens cannot grow in the affected joints. Although the human immunodeficiency virus and severe acute respiratory syndrome coronavirus 2 are not among the most commonly implicated pathogens, there is growing evidence that they have major implications in the genesis of reactive arthritis. However, there are no described cases of coinfection of both entities that cause reactive arthritis at the same time, and the alterations involved in the immune system that could cause the change of certain clinical characteristics to more severe forms of the disease are unknown. The following describes the case of a male patient in his third decade of life who has an unusual and severe presentation of reactive arthritis associated with coinfection by COVID-19 and the human immunodeficiency virus.

Disfunción endotelial en niños con enfermedad renal crónica / Endothelial dysfunction in children with chronic kidney disease

Antecedentes y objetivo: La enfermedad cardiovascular es la principal causa de muerte en niños con enfermedad renal crónica. La inflamación y la disfunción endotelial se presenta en la mayoría de estos pacientes y son factores asociados a enfermedad cardiovascular. La dilatación mediada por flujo (DMF)<7% es un marcador subrogado validado en la evaluación de la disfunción endotelial. Nuestro objetivo fue identificar los factores de riesgo asociados a disfunción endotelial en niños con enfermedad renal crónica. Materiales y métodos: Se estudió a niños de 2-16 años de edad. Se recopiló su información clínica y variables bioquímicas, incluidos hormona paratiroidea intacta (iPTH), interleucinas 6 y 1β, proteína C reactiva de alta sensibilidad (hsCRP), glutatión reducido, óxido nítrico, malondialdehído y homocisteína. Se consideró DMF alterada<7%. Resultados: Se incluyó a 129 pacientes con edad de 13,1±2,6 años. Tuvieron DMF<7% 69 (52,7%). Los pacientes con DMF<7% tuvieron niveles más altos de triglicéridos y de hsCRP que aquellos con DMF≥7% (145,5 vs. 120,0mg/dl, p=0,042, y 1,24 vs. 0,55U/l, p=0,007, respectivamente), así como una mayor frecuencia de iPTH baja (19,1 vs. 4,9%, p=0,036). Los niveles de hsCRP se correlacionaron significativamente con la DMF (Rho=−0,28, p=0,003). Los pacientes con iPTH baja (OR 4,41, IC 95% 1,13-17,27, p=0,033) y con hsCRP incrementada (OR 2,89, IC 95% 1,16-7,17, p=0,022) tuvieron un riesgo ajustado mayor de DMF<7%. Conclusiones: La hipertrigliceridemia, la inflamación y una iPTH baja se asociaron significativamente a una DMF alterada. Son factores de riesgo de enfermedad cardiovascular frecuentes y tratables. (AU)

Background and objective: Cardiovascular disease is the main cause of death in children with chronic kidney disease. Inflammation and endothelial dysfunction are found in the majority of these patients and are factors associated to cardiovascular disease. Flow mediated dilatation (FMD) is a surrogate marker validated for evaluating endothelial dysfunction. Our objective was to identify risk factors associated to endothelial dysfunction in children with chronic kidney disease. Materials and methods: Children 2-16 years of age were studied. Clinical information and biochemical variables were gathered, including intact parathyroid hormone (iPTH), interleukins 6 and 1β, high sensitivity C reactive protein (hsCRP), reduced glutathione, nitric oxide, malondialdehyde and homocysteine. FMD was measured, and considered altered if<7%. Results: Included were 129 patients aged 13.1±2.6 years. FMD<7% was found in 69 (52.7%). Patients with altered FMD had higher levels of triglycerides and hsCRP than those with normal FMD (145.5 vs. 120.0mg/dL, P=.042, and 1.24 vs. 0.55U/L, P=.007, respectively), as well as higher frequency of low iPTH (19.1 vs. 4.9%, P=.036). Levels of hsCRP correlated significantly with FMD (Rho=−0.28, P=.003). Patients with low iPTH (OR 4.41, 95% CI 1.13-17.27, P=.033) and increased hsCRP (OR 2.89, 95% CI 1.16-7.17, P=.022) had higher adjusted risk of having FMD<7%. Conclusions: Hypertriglyceridemia, inflammation and low iPTH associated significantly with altered FMD. They are frequent, treatable risk factors for cardiovascular disease. (AU)

[Impact of the use of an early neonatal sepsis calculator]. / Impacto del uso de una calculadora de riesgo de sepsis neonatal temprana.

BACKGROUND: Early onset neonatal sepsis (EOS) is a public health problem; antibiotic treatment is often unnecessary and can increase morbimortality. EOS risk calculator are available that allows limiting the use of antibiotics. OBJECTIVE: To compare the patterns of antibiotic use and hospitalization time in infant newborns (NB) ≥ 34 weeks of gestational age (GA) in a historical cohort attended from November 2017 to April 2018 vs. a prospective cohort from November 2018 to April 2019, before and after implementing the use of an EOS risk calculator, respectively. MATERIAL AND METHODS: Ambispective, observational, longitudinal, analytical study in infants NB ≥ 34 GA attended before and after implementing the use of an EOS risk calculator. The patterns of antibiotic´s use were compared. Simple frequencies and proportions, means and standard deviations or medians with ranges, Mann-Whitney U Test and Chi square test with SPSS V. 20.0 statistical package were used; considering significant values of p < 0.05. RESULTS: Thirty patients were included, 15 NB for each period, the gestational age average was 36.8 ± 2.3 GA. there was no statistically significant difference in the frequency of diagnosis of EOS with blood culture or days of hospital stay. Antibiotics were beginning in all the infants attended before the implementation of the EOS risk calculator, unlike 46.7% of the infants after its implementation (p = 0.001). CONCLUSIONS: The EOS risk calculator is an easy tool to use, and demonstrated to be useful in decreasing unnecessary use of antibiotics.

INTRODUCCIÓN: la sepsis neonatal temprana (SNT) es un problema de salud pública. El tratamiento con antibióticos frecuentemente es innecesario y no inocuo. El uso de calculadoras de riesgo de SNT permite disminuir el uso injustificado de antibióticos. OBJETIVO: comparar el uso de antibióticos y tiempo de hospitalización en recién nacidos (RN) ≥ 34 semanas de gestación (SDG) en una cohorte histórica atendida de noviembre de 2017 a abril de 2018 frente a una cohorte prospectiva de noviembre de 2018 a abril del 2019, antes y después de la implementación del uso de una calculadora de riesgo de SNT. MATERIAL Y MÉTODOS: estudio ambispectivo, observacional, analítico en RN ≥ 34 SDG atendidos antes y después de implementar una calculadora de riesgo de SNT. Se comparó el uso de antibióticos así como el tiempo de hospitalización. Se usaron frecuencias, proporciones, medidas de tendencia central y dispersión, U de Mann-Whitney y Chi cuadrada, con el paquete estadístico SPSS V. 20.0; siendo significativos los valores de p < 0.05. RESULTADOS: se incluyeron 30 pacientes, 15 para cada grupo, de 36.8 ± 2.3 SDG. No hubo diferencia significativa en la frecuencia de diagnóstico de SNT con hemocultivo ni en los días de estancia intrahospitalaria. Se usó antibióticos en el 100% de los RN antes frente al 46.7% después del uso de la calculadora (p = 0.001). CONCLUSIONES: la calculadora de riesgo de SNT es una herramienta de uso sencillo y que demostró ser útil para disminuir el uso innecesario de antibióticos.