Publications by authors named "Hernando Gomez"

Acute kidney injury (AKI) is a heterogeneous syndrome that not only affects short-term morbidity and mortality but also influences long-term outcomes. AKI is part of acute kidney disease (AKD) that encompasses a range of different conditions and is characterized by a kidney dysfunction lasting 90 days or less after which time the term chronic kidney disease (CKD) applies. AKD may result in irreversible loss of nephrons and may lead to CKD.

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Artificial Intelligence (AI) is rapidly transforming the landscape of critical care, offering opportunities for enhanced diagnostic precision and personalized patient management. However, its integration into ICU clinical practice presents significant challenges related to equity, transparency, and the patient-clinician relationship. To address these concerns, a multidisciplinary team of experts was established to assess the current state and future trajectory of AI in critical care.

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Background: Major Adverse Kidney Events within 30 days (MAKE30) is an important patient-centered outcome for assessing the impact of acute kidney injury (AKI). Existing prediction models for MAKE30 are static and overlook dynamic changes in clinical status. We introduce ORAKLE, a novel deep-learning model that utilizes evolving time-series data to predict MAKE30, enabling personalized, patient-centered approaches to AKI management and outcome improvement.

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Background: The recognition of syndromes has been a pillar of medical education and knowledge. However, treatment of syndromes is challenging because there is a disconnect between the underlying mechanisms that lead to organ injury and the clinical expression of this injury. This is an important barrier to identifying effective treatments in sepsis which may be resolved by the identification of sepsis endotypes.

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Rationale: Most cases of acute kidney injury (AKI) resolve within 72 h. However, a small number of patients with persistent severe AKI have significantly worse outcomes. We sought to describe the occurrence, impact on outcome and risk factors associated with persistent severe AKI in critically ill patients using a standardized definition.

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Article Synopsis
  • - The study aimed to evaluate a closed-loop resuscitation algorithm called ReFit1 and ReFit2, which uses various hemodynamic parameters to effectively manage severe hemorrhagic shock in a pig model.
  • - The ReFit algorithm determines the need for fluids and medications based on real-time monitoring of vital signs, such as mean arterial pressure and mixed venous oxygen saturation, to drive automated treatments.
  • - Results showed that the time to stabilize the pigs using these algorithms was comparable to traditional methods used by expert clinicians, with similar treatment volumes, and ReFit1 also successfully addressed complications like acute air embolism in some animals.
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  • Persistent acute kidney injury (pAKI) has a worse prognosis than transient acute kidney injury (AKI) in critically ill patients, but its impact and definitions are less understood in organ transplant recipients.
  • A systematic review of 25 studies involving 6,330 patients showed a wide variation in the incidence and definitions of pAKI among heart, lung, and liver transplant recipients.
  • pAKI is linked to higher rates of new chronic kidney disease, graft dysfunction, and long-term mortality, highlighting the need for standardized definitions in future research.
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  • Intravenous fluids are crucial for managing acute kidney injury (AKI) after sepsis, but they can lead to fluid overload, prompting a need for a restrictive fluid strategy for certain patients.
  • A machine learning algorithm was developed and validated to identify sepsis patients with AKI who would benefit from receiving less than 500mL of fluids within 24 hours.
  • The algorithm suggested that 88.2% of patients in the validation cohort would benefit from a restrictive fluid approach, leading to higher rates of early and sustained AKI reversal and lower major adverse kidney events compared to those receiving more fluids.
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This research studies the prevalence of digital violence exercised through new information and communication technology (ICT) among university couples. A comparative study was carried out in England, United Kingdom, and in Spain with 831 participants. A quantitative methodology was applied with different sampling: in the United Kingdom, 303 ( = 22.

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We tested the ability of a physiologically driven minimally invasive closed-loop algorithm, called Resuscitation based on Functional Hemodynamic Monitoring (ReFit), to stabilize for up to 3 h a porcine model of noncompressible hemorrhage induced by severe liver injury and do so during both ground and air transport. Twelve animals were resuscitated using ReFit to drive fluid and vasopressor infusion to a mean arterial pressure (MAP) > 60 mmHg and heart rate < 110 min 30 min after MAP < 40 mmHg following liver injury. ReFit was initially validated in 8 animals in the laboratory, then in 4 animals during air (23nm and 35nm) and ground (9 mi) to air (9.

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Introduction: Acute kidney injury (AKI) is a common complication of sepsis associated with increased risk of death. Preclinical data and observational human studies suggest that activation of AMP-activated protein kinase, an ubiquitous master regulator of energy that can limit mitochondrial injury, with metformin may protect against sepsis-associated AKI (SA-AKI) and mortality. The Randomized Clinical Trial of the Safety and FeasibiLity of Metformin as a Treatment for sepsis-associated AKI (LiMiT AKI) aims to evaluate the safety and feasibility of enteral metformin in patients with sepsis at risk of developing SA-AKI.

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Adsorption-based extracorporeal therapies have been subject to technical developments and clinical application for close to five decades. More recently, new technological developments in membrane and sorbent manipulation have made it possible to deliver more biocompatible extracorporeal adsorption therapies to patients with a variety of conditions. There are several key rationales based on physicochemical principles and clinical considerations that justify the application and investigation of such therapies as evidenced by multiple ex vivo, experimental and clinical observations.

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Background: Sepsis is the most common cause of acute kidney injury (AKI) in critically ill patients. Four phenotypes (α, β, γ, δ) for sepsis, which have different outcomes and responses to treatment, were described using routine clinical data in the electronic health record.

Research Question: Do the frequencies of AKI, acute kidney disease (AKD), chronic kidney disease (CKD), and AKI on CKD differ by sepsis phenotype?

Study Design And Methods: This was a secondary analysis of a randomized clinical trial of early resuscitation, including patients with septic shock at 31 sites.

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Objectives: To use the ventricular pressure-volume relationship and time-varying elastance model to provide a foundation for understanding cardiovascular physiology and pathophysiology, interpreting advanced hemodynamic monitoring, and for illustrating the physiologic basis and hemodynamic effects of therapeutic interventions. We will build on this foundation by using a cardiovascular simulator to illustrate the application of these principles in the care of patients with severe sepsis, cardiogenic shock, and acute mechanical circulatory support.

Data Sources: Publications relevant to the discussion of the time-varying elastance model, cardiogenic shock, and sepsis were retrieved from MEDLINE.

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Objectives: To determine the feasibility, safety, and efficacy of a biomarker-guided implementation of a kidney-sparing sepsis bundle (KSSB) of care in comparison with standard of care (SOC) on clinical outcomes in patients with sepsis.

Design: Adaptive, multicenter, randomized clinical trial.

Setting: Five University Hospitals in Europe and North America.

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Objective: This study aimed to investigate the clinical trends and the impact of the 2018 heart allocation policy change on both waitlist and post-transplant outcomes in simultaneous heart-kidney transplantation in the United States.

Methods: The United Network for Organ Sharing registry was queried to compare adult patients before and after the allocation policy change. This study included 2 separate analyses evaluating the waitlist and post-transplant outcomes.

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Article Synopsis
  • This study examined the risk factors and outcomes of acute kidney injury (AKI) in patients undergoing lung transplantation, focusing on how it affects postoperative recovery.
  • It found that nearly 49% of patients experienced AKI after surgery, with several key risk factors identified, such as higher preoperative creatinine levels and the volume of blood products used.
  • Patients who developed AKI, especially those needing renal replacement therapy, faced higher rates of complications and had significantly worse survival rates compared to those without AKI.
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Sepsis is a host's deleterious response to infection, which could lead to life-threatening organ dysfunction. Sepsis-associated acute kidney injury (SA-AKI) is the most frequent organ dysfunction and is associated with increased morbidity and mortality. Sepsis contributes to ≈50% of all AKI in critically ill adult patients.

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The sexual manifestations of residents in long-term care facilities are often overlooked and even discouraged by care staff. The aim of this study was to conduct a systematic review of caregivers' attitudes, knowledge and perceptions of sexual expression. After consulting different databases, ten scientific articles published between 2012 and 2022 met the inclusion criteria to form part of this review.

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Background: Sepsis remains the leading cause of mortality in critically ill patients, and mortality is increased when acute kidney injury (AKI) occurs. The Kidney Disease: Improving Global Outcomes (KDIGO) guideline recommends the implementation of supportive measures in patients at high risk for AKI. However, it remains unclear to what extent these nephroprotective measures are implemented in daily clinical practice in critically ill patients, especially those with high-risk exposures such as sepsis.

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Sepsis-associated acute kidney injury (SA-AKI) is common in critically ill patients and is strongly associated with adverse outcomes, including an increased risk of chronic kidney disease, cardiovascular events and death. The pathophysiology of SA-AKI remains elusive, although microcirculatory dysfunction, cellular metabolic reprogramming and dysregulated inflammatory responses have been implicated in preclinical studies. SA-AKI is best defined as the occurrence of AKI within 7 days of sepsis onset (diagnosed according to Kidney Disease Improving Global Outcome criteria and Sepsis 3 criteria, respectively).

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