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Dive into the research topics where Ronny M. Otero is active.

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Featured researches published by Ronny M. Otero.


Chest | 2006

Early Goal-Directed Therapy in Severe Sepsis and Septic Shock Revisited: Concepts, Controversies, and Contemporary Findings

Ronny M. Otero; H. Bryant Nguyen; David T. Huang; David F. Gaieski; Munish Goyal; Kyle J. Gunnerson; Stephen Trzeciak; Robert Sherwin; Christopher V. Holthaus; Tiffany M. Osborn; Emanuel P. Rivers

Studies of acute myocardial infarction, trauma, and stroke have been translated into improved outcomes by earlier diagnosis and application of therapy at the most proximal stage of hospital presentation. Most therapies for these diseases are instituted prior to admission to an ICU; this approach to the sepsis patient has been lacking. In response, a trial comparing early goal-directed therapy (EGDT) vs standard care was performed using specific criteria for the early identification of high-risk sepsis patients, verified definitions, and a consensus-derived protocol to reverse the hemodynamic perturbations of hypovolemia, vasoregulation, myocardial suppression, and increased metabolic demands. Five years after the EGDT publication, there has been much discussion generated with regard to the concepts of EGDT, as well as debate fueled regarding diagnostic and therapeutic interventions. However, during this time period further investigations by the primary investigators and others have brought additional contemporary findings. EGDT modulates some of the components of inflammation, as reflected by improved organ function. The end points used in the EGDT protocol, the outcome results, and the cost-effectiveness have subsequently been externally validated, revealing similar or even better findings than those from the original trial. Although EGDT is faced with challenges, a coordinated approach to sepsis management is necessary to duplicate the progress in outcomes seen in patients with conditions such as acute myocardial infarction, stroke, and trauma.


Chest | 2006

Postgraduate Education CornerEarly Goal-Directed Therapy in Severe Sepsis and Septic Shock Revisited: Concepts, Controversies, and Contemporary Findings

Ronny M. Otero; H. Bryant Nguyen; David T. Huang; David F. Gaieski; Munish Goyal; Kyle J. Gunnerson; Stephen Trzeciak; Robert Sherwin; Christopher V. Holthaus; Tiffany M. Osborn; Emanuel P. Rivers

Studies of acute myocardial infarction, trauma, and stroke have been translated into improved outcomes by earlier diagnosis and application of therapy at the most proximal stage of hospital presentation. Most therapies for these diseases are instituted prior to admission to an ICU; this approach to the sepsis patient has been lacking. In response, a trial comparing early goal-directed therapy (EGDT) vs standard care was performed using specific criteria for the early identification of high-risk sepsis patients, verified definitions, and a consensus-derived protocol to reverse the hemodynamic perturbations of hypovolemia, vasoregulation, myocardial suppression, and increased metabolic demands. Five years after the EGDT publication, there has been much discussion generated with regard to the concepts of EGDT, as well as debate fueled regarding diagnostic and therapeutic interventions. However, during this time period further investigations by the primary investigators and others have brought additional contemporary findings. EGDT modulates some of the components of inflammation, as reflected by improved organ function. The end points used in the EGDT protocol, the outcome results, and the cost-effectiveness have subsequently been externally validated, revealing similar or even better findings than those from the original trial. Although EGDT is faced with challenges, a coordinated approach to sepsis management is necessary to duplicate the progress in outcomes seen in patients with conditions such as acute myocardial infarction, stroke, and trauma.


Critical Care Medicine | 2007

The influence of early hemodynamic optimization on biomarker patterns of severe sepsis and septic shock.

Emanuel P. Rivers; James A. Kruse; Gordon Jacobsen; Kant Shah; Manisha Loomba; Ronny M. Otero; Ed W. Childs

Background:Despite abundant experimental studies of biomarker patterns in early severe sepsis and septic shock, human data are few. Further, the impact of the severity of global tissue hypoxia resulting from resuscitative strategies on these early biomarker patterns remains unknown. Methods:The temporal patterns of interleukin-1 receptor antagonist, intercellular adhesion molecule-1, tumor necrosis factor-&agr;, caspase-3, and interleukin-8 were serially examined over the first 72 hrs of hospitalization after early hemodynamic optimization strategies of early goal-directed vs. standard therapy for severe sepsis and septic shock patients. The relationship of these biomarker patterns to each hemodynamic optimization strategy, severity of global tissue hypoxia (reflected by lactate and central venous oxygen saturation), organ dysfunction, and mortality were examined. Results:Abnormal biomarker levels were present upon hospital presentation and modulated to distinct patterns within 3 hrs based on the hemodynamic optimization strategy. The temporal expression of these patterns over 72 hrs was significantly associated with the severity of global tissue hypoxia, organ dysfunction, and mortality. Conclusion:In early severe sepsis and septic shock, within the first 3 hrs of hospital presentation, distinct biomarker patterns emerge in response to hemodynamic optimization strategies. A significant association exists between temporal biomarker patterns in the first 72 hrs, severity of global tissue hypoxia, organ dysfunction, and mortality. These findings identify global tissue hypoxia as an important contributor to the early inflammatory response and support the role of hemodynamic optimization in supplementing other established therapies during this diagnostic and therapeutic “window of opportunity.”


Science Translational Medicine | 2013

Sepsis: An integrated clinico-metabolomic model improves prediction of death in sepsis

Raymond J. Langley; Ephraim L. Tsalik; Jennifer C. van Velkinburgh; Seth W. Glickman; Brandon J. Rice; Chunping Wang; Bo Chen; Lawrence Carin; Arturo Suarez; Robert P. Mohney; D. Freeman; Mu Wang; Jinsam You; Jacob Wulff; J. Will Thompson; M. Arthur Moseley; Stephanie Reisinger; Brian T. Edmonds; Brian W. Grinnell; David R. Nelson; Darrell L. Dinwiddie; Neil A. Miller; Carol J. Saunders; Sarah S. Soden; Angela J. Rogers; Lee Gazourian; Anthony F. Massaro; Rebecca M. Baron; Augustine M. K. Choi; G. Ralph Corey

A molecular signature, derived from integrated analysis of clinical data, the metabolome, and the proteome in prospective human studies, improved the prediction of death in patients with sepsis, potentially identifying a subset of patients who merit intensive treatment. Understanding Survival of the Fittest in Sepsis Differentiating mild infections from life-threatening ones is a complex decision that is made millions of times a year in U.S. emergency rooms. Should a patient be sent home with antibiotics and chicken soup? Or should he or she be hospitalized for intensive treatment? Sepsis—a serious infection that is associated with a generalized inflammatory response—is one of the leading causes of death. In two prospective clinical studies reported by Langley et al., patients arriving at four urban emergency departments with symptoms of sepsis were evaluated clinically and by analysis of their plasma proteome and metabolome. Survivors and nonsurvivors at 28 days were compared, and a molecular signature was detected that appeared to differentiate these outcomes—even as early as the time of hospital arrival. The signature was part of a large set of differences between these groups, showing that better energy-producing fatty acid catabolism was associated with survival of the fittest in sepsis. A test developed from the signature was able to predict sepsis survival and nonsurvival reproducibly and better than current methods. This test could help to make all important decisions in the emergency room more accurate. Sepsis is a common cause of death, but outcomes in individual patients are difficult to predict. Elucidating the molecular processes that differ between sepsis patients who survive and those who die may permit more appropriate treatments to be deployed. We examined the clinical features and the plasma metabolome and proteome of patients with and without community-acquired sepsis, upon their arrival at hospital emergency departments and 24 hours later. The metabolomes and proteomes of patients at hospital admittance who would ultimately die differed markedly from those of patients who would survive. The different profiles of proteins and metabolites clustered into the following groups: fatty acid transport and β-oxidation, gluconeogenesis, and the citric acid cycle. They differed consistently among several sets of patients, and diverged more as death approached. In contrast, the metabolomes and proteomes of surviving patients with mild sepsis did not differ from survivors with severe sepsis or septic shock. An algorithm derived from clinical features together with measurements of five metabolites predicted patient survival. This algorithm may help to guide the treatment of individual patients with sepsis.


Critical Care Medicine | 2009

A prospective, multicenter derivation of a biomarker panel to assess risk of organ dysfunction, shock, and death in emergency department patients with suspected sepsis

Nathan I. Shapiro; Stephen Trzeciak; Judd E. Hollander; Robert H. Birkhahn; Ronny M. Otero; Tiffany M. Osborn; Eugene W. Moretti; H. Bryant Nguyen; Kyle J. Gunnerson; David Milzman; David F. Gaieski; Munish Goyal; Charles B. Cairns; Long Ngo; Emanuel P. Rivers

Objective:To define a biomarker panel to predict organ dysfunction, shock, and in-hospital mortality in emergency department (ED) patients with suspected sepsis. Design:Prospective observational study. Setting:EDs of ten academic medical centers. Patients:There were 971 patients enrolled. Inclusion criteria: 1) ED patients age > 18; 2) suspected infection or a serum lactate level > 2.5 mmol/L; and 3) two or more systemic inflammatory response syndrome criteria. Exclusion criteria: pregnancy, do-not-resuscitate status, or cardiac arrest. Measurements and Main Results:Nine biomarkers were assayed from blood draws obtained on ED presentation. Multivariable logistic regression was used to identify an optimal combination of biomarkers to create a panel. The derived formula for weighting biomarker values was used to calculate a “sepsis score,” which was the predicted probability of the primary outcome of severe sepsis (sepsis plus organ dysfunction) within 72 hrs. We also assessed the ability of the sepsis score to predict secondary outcome measures of septic shock within 72 hrs and in-hospital mortality. The overall rates of each outcome were severe sepsis, 52%; septic shock, 39%; and in-hospital mortality 7%. Among the nine biomarkers tested, the optimal 3-marker panel was neutrophil gelatinase-associated lipocalin, protein C, and interleukin−1 receptor antagonist. The area under the curve for the accuracy of the sepsis score derived from these three biomarkers was 0.80 for severe sepsis, 0.77 for septic shock, and 0.79 for death. When included in multivariate models with clinical variables, the sepsis score remained highly significant (p < 0.001) for all the three outcomes. Conclusions:A biomarker panel of neutrophil gelatinase-associated lipocalin, interleukin-1ra, and Protein C was predictive of severe sepsis, septic shock, and death in ED patients with suspected sepsis. Further study is warranted to prospectively validate the clinical utility of these biomarkers and the sepsis score in risk-stratifying patients with suspected sepsis.


Annals of Emergency Medicine | 2010

The Diagnostic Accuracy of Plasma Neutrophil Gelatinase–Associated Lipocalin in the Prediction of Acute Kidney Injury in Emergency Department Patients With Suspected Sepsis

Nathan I. Shapiro; Stephen Trzeciak; Judd E. Hollander; Robert H. Birkhahn; Ronny M. Otero; Tiffany M. Osborn; Eugene W. Moretti; H. Bryant Nguyen; Kyle J. Gunnerson; David Milzman; David F. Gaieski; Munish Goyal; Charles B. Cairns; Kenneth Kupfer; Seok Won Lee; Emanuel P. Rivers

STUDY OBJECTIVE We assess the diagnostic accuracy of plasma neutrophil gelatinase-associated lipocalin (NGAL) to predict acute kidney injury in emergency department (ED) patients with suspected sepsis. METHODS We conducted a secondary analysis of a prospective observational study of a convenience sample of patients from 10 academic medical center EDs. Inclusion criteria were adult patients aged 18 years or older, with suspected infection or a serum lactate level greater than 2.5 mmol/L; 2 or more systemic inflammatory response syndrome criteria; and a subsequent serum creatinine level obtained within 12 to 72 hours of enrollment. Exclusion criteria were pregnancy, do-not-resuscitate status, cardiac arrest, or dialysis dependency. NGAL was measured in plasma collected at ED presentation. Acute kidney injury was defined as an increase in serum creatinine measurement of greater than 0.5 mg/dL during 72 hours. RESULTS There were 661 patient enrolled, with 24 cases (3.6%) of acute kidney injury that developed within 72 hours after ED presentation. Median plasma NGAL levels were 134 ng/mL (interquartile range 57 to 277 ng/mL) in patients without acute kidney injury and 456 ng/mL (interquartile range 296 to 727 ng/mL) in patients with acute kidney injury. Plasma NGAL concentrations of greater than 150 ng/mL were 96% sensitive (95% confidence interval [CI] 79% to 100%) and 51% (95% CI 47% to 55%) specific for acute kidney injury. In comparison, to achieve equivalent sensitivity with initial serum creatinine level at ED presentation required a cutoff of 0.7 mg/dL and resulted in specificity of 17% (95% CI 14% to 20%). CONCLUSION In this preliminary investigation, increased plasma NGAL concentrations measured on presentation to the ED in patients with suspected sepsis were associated with the development of acute kidney injury. Our findings support NGAL as a promising new biomarker for acute kidney injury; however, further research is warranted.


Journal of Clinical Microbiology | 2010

Multiplex PCR to diagnose bloodstream infections in patients admitted from the emergency department with sepsis.

Ephraim L. Tsalik; Daphne Jones; Bradly P. Nicholson; Lynette Waring; Oliver Liesenfeld; Lawrence P. Park; Seth W. Glickman; Lauren B. Caram; Raymond J. Langley; Jennifer C. van Velkinburgh; Charles B. Cairns; Emanuel P. Rivers; Ronny M. Otero; Stephen F. Kingsmore; Tahaniyat Lalani; Vance G. Fowler; Christopher W. Woods

ABSTRACT Sepsis is caused by a heterogeneous group of infectious etiologies. Early diagnosis and the provision of appropriate antimicrobial therapy correlate with positive clinical outcomes. Current microbiological techniques are limited in their diagnostic capacities and timeliness. Multiplex PCR has the potential to rapidly identify bloodstream infections and fill this diagnostic gap. We identified patients from two large academic hospital emergency departments with suspected sepsis. The results of a multiplex PCR that could detect 25 bacterial and fungal pathogens were compared to those of blood culture. The results were analyzed with respect to the likelihood of infection, sepsis severity, the site of infection, and the effect of prior antibiotic therapy. We enrolled 306 subjects with suspected sepsis. Of these, 43 were later determined not to have infectious etiologies. Of the remaining 263 subjects, 70% had sepsis, 16% had severe sepsis, and 14% had septic shock. The majority had a definite infection (41.5%) or a probable infection (30.7%). Blood culture and PCR performed similarly with samples from patients with clinically defined infections (areas under the receiver operating characteristic curves, 0.64 and 0.60, respectively). However, blood culture identified more cases of septicemia than PCR among patients with an identified infectious etiology (66 and 46, respectively; P = 0.0004). The two tests performed similarly when the results were stratified by sepsis severity or infection site. Blood culture tended to detect infections more frequently among patients who had previously received antibiotics (P = 0.06). Conversely, PCR identified an additional 24 organisms that blood culture failed to detect. Real-time multiplex PCR has the potential to serve as an adjunct to conventional blood culture, adding diagnostic yield and shortening the time to pathogen identification.


Journal of Inflammation | 2010

Early lactate clearance is associated with biomarkers of inflammation, coagulation, apoptosis, organ dysfunction and mortality in severe sepsis and septic shock

H. Bryant Nguyen; Manisha Loomba; James Yang; Gordon Jacobsen; Kant Shah; Ronny M. Otero; Arturo Suarez; Hemal Parekh; Anja Kathrin Jaehne; Emanuel P. Rivers

BackgroundLactate clearance, a surrogate for the magnitude and duration of global tissue hypoxia, is used diagnostically, therapeutically and prognostically. This study examined the association of early lactate clearance with selected inflammatory, coagulation, apoptosis response biomarkers and organ dysfunction scores in severe sepsis and septic shock.MethodsMeasurements of serum arterial lactate, biomarkers (interleukin-1 receptor antagonist, interleukin-6, interleukin-8, interleukin-10, tumor necrosis factor-alpha, intercellular adhesion molecule-1, high mobility group box-1, D-Dimer and caspase-3), and organ dysfunction scores (Acute Physiology and Chronic Health Evaluation II, Simplified Acute Physiology Score II, Multiple Organ Dysfunction Score, and Sequential Organ Failure Assessment) were obtained in conjunction with a prospective, randomized study examining early goal-directed therapy in severe sepsis and septic shock patients presenting to the emergency department (ED). Lactate clearance was defined as the percent change in lactate levels after six hours from a baseline measurement in the ED.ResultsTwo-hundred and twenty patients, age 65.0 +/- 17.1 years, were examined, with an overall lactate clearance of 35.5 +/- 43.1% and in-hospital mortality rate of 35.0%. Patients were divided into four quartiles of lactate clearance, -24.3 +/- 42.3, 30.1 +/- 7.5, 53.4 +/- 6.6, and 75.1 +/- 7.1%, respectively (p < 0.01). The mean levels of all biomarkers and organ dysfunction scores over 72 hours were significantly lower with higher lactate clearance quartiles (p < 0.01). There was a significant decreased in-hospital, 28-day, and 60-day mortality in the higher lactate clearance quartiles (p < 0.01).ConclusionsEarly lactate clearance as a surrogate for the resolution of global tissue hypoxia is significantly associated with decreased levels of biomarkers, improvement in organ dysfunction and outcome in severe sepsis and septic shock.


Academic Emergency Medicine | 2010

Disease Progression in Hemodynamically Stable Patients Presenting to the Emergency Department With Sepsis

Seth W. Glickman; Charles B. Cairns; Ronny M. Otero; Christopher W. Woods; Ephraim L. Tsalik; Raymond J. Langley; Jennifer C. van Velkinburgh; Lawrence P. Park; Lawrence T. Glickman; Vance G. Fowler; Stephen F. Kingsmore; Emanuel P. Rivers

BACKGROUND Aggressive diagnosis and treatment of patients presenting to the emergency department (ED) with septic shock has been shown to reduce mortality. To enhance the ability to intervene in patients with lesser illness severity, a better understanding of the natural history of the early progression from simple infection to more severe illness is needed. OBJECTIVES The objectives were to 1) describe the clinical presentation of ED sepsis, including types of infection and causative microorganisms, and 2) determine the incidence, patient characteristics, and mortality associated with early progression to septic shock among ED patients with infection. METHODS This was a multicenter study of adult ED patients with sepsis but no evidence of shock. Multivariable logistic regression was used to identify patient factors for early progression to shock and its association with 30-day mortality. RESULTS Of 472 patients not in shock at ED presentation (systolic blood pressure > 90 mm Hg and lactate < 4 mmol/L), 84 (17.8%) progressed to shock within 72 hours. Independent factors associated with early progression to shock included older age, female sex, hyperthermia, anemia, comorbid lung disease, and vascular access device infection. Early progression to shock (vs. no progression) was associated with higher 30-day mortality (13.1% vs. 3.1%, odds ratio [OR] = 4.72, 95% confidence interval [CI] = 2.01 to 11.1; p < or = 0.001). Among 379 patients with uncomplicated sepsis (i.e., no evidence of shock or any end-organ dysfunction), 86 (22.7%) progressed to severe sepsis or shock within 72 hours of hospital admission. CONCLUSIONS A significant portion of ED patients with less severe sepsis progress to severe sepsis or shock within 72 hours. Additional diagnostic approaches are needed to risk stratify and more effectively treat ED patients with sepsis.


Science Translational Medicine | 2013

A Host-Based RT-PCR Gene Expression Signature to Identify Acute Respiratory Viral Infection

Aimee K. Zaas; Thomas Burke; Minhua Chen; Micah T. McClain; Bradly P. Nicholson; Timothy Veldman; Ephraim L. Tsalik; Vance G. Fowler; Emanuel P. Rivers; Ronny M. Otero; Stephen F. Kingsmore; Deepak Voora; Joseph Lucas; Alfred O. Hero; Lawrence Carin; Christopher W. Woods; Geoffrey S. Ginsburg

To improve the diagnosis of respiratory viral infection, a multiplex RT-PCR assay based on the host response was derived from experimentally infected subjects and validated in patients with febrile illness. Diagnosing the Cause of Coughs and Sneezes Diagnosis of viral respiratory infections remains a challenge. Early differentiation between a viral and bacterial etiology of respiratory symptoms would help to direct therapy more appropriately and prevent overuse of antibiotics. Measuring the host immune response to infection is an alternative to pathogen-based diagnostic testing and may improve diagnostic accuracy. Now, Zaas et al. have developed a reverse transcription polymerase chain reaction (RT-PCR) assay for blood RNA that can classify respiratory viral infections based on the host immune response. They developed their assay using two groups of individuals experimentally infected with either influenza A H3N2/Wisconsin or influenza A H1N1/Brisbane. They then validated their RT-PCR diagnostic in a sample of adults presenting to the emergency department with fever, who had microbiologically confirmed viral or bacterial illness. The sensitivity of the RT-PCR assay was 89% [95% confidence interval (CI), 72 to 98%], and the specificity was 94% (95% CI, 86 to 99%). These data establish an important “proof of concept” that host expression of a relatively small set of genes measured by RT-PCR can be used to classify viral respiratory illness in unselected individuals presenting at an emergency department for evaluation of fever. The development of this new assay and its validation in an independent “real-world” patient population is an important step on the translational pathway to establishing this platform for diagnostic testing in the clinic. Improved ways to diagnose acute respiratory viral infections could decrease inappropriate antibacterial use and serve as a vital triage mechanism in the event of a potential viral pandemic. Measurement of the host response to infection is an alternative to pathogen-based diagnostic testing and may improve diagnostic accuracy. We have developed a host-based assay with a reverse transcription polymerase chain reaction (RT-PCR) TaqMan low-density array (TLDA) platform for classifying respiratory viral infection. We developed the assay using two cohorts experimentally infected with influenza A H3N2/Wisconsin or influenza A H1N1/Brisbane, and validated the assay in a sample of adults presenting to the emergency department with fever (n = 102) and in healthy volunteers (n = 41). Peripheral blood RNA samples were obtained from individuals who underwent experimental viral challenge or who presented to the emergency department and had microbiologically proven viral respiratory infection or systemic bacterial infection. The selected gene set on the RT-PCR TLDA assay classified participants with experimentally induced influenza H3N2 and H1N1 infection with 100 and 87% accuracy, respectively. We validated this host gene expression signature in a cohort of 102 individuals arriving at the emergency department. The sensitivity of the RT-PCR test was 89% [95% confidence interval (CI), 72 to 98%], and the specificity was 94% (95% CI, 86 to 99%). These results show that RT-PCR–based detection of a host gene expression signature can classify individuals with respiratory viral infection and sets the stage for prospective evaluation of this diagnostic approach in a clinical setting.

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Charles B. Cairns

University of North Carolina at Chapel Hill

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Kyle J. Gunnerson

Virginia Commonwealth University

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Raymond J. Langley

National Center for Genome Resources

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David F. Gaieski

Thomas Jefferson University

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