Steven L. Kronick
University of Michigan
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Steven L. Kronick.
Circulation | 2010
Mary Ann Peberdy; Clifton W. Callaway; Robert W. Neumar; Romergryko G. Geocadin; Janice L. Zimmerman; Michael W. Donnino; Andrea Gabrielli; Scott M. Silvers; Arno Zaritsky; Raina M. Merchant; Terry L. Vanden Hoek; Steven L. Kronick
The goal of immediate post-cardiac arrest care is to optimize systemic perfusion, restore metabolic homeostasis, and support organ system function to increase the likelihood of intact neurological survival. The post-cardiac arrest period is often marked by hemodynamic instability as well as metabolic abnormalities. Support and treatment of acute myocardial dysfunction and acute myocardial ischemia can increase the probability of survival. Interventions to reduce secondary brain injury, such as therapeutic hypothermia, can improve survival and neurological recovery. Every organ system is at risk during this period, and patients are at risk of developing multiorgan dysfunction. The comprehensive treatment of diverse problems after cardiac arrest involves multidisciplinary aspects of critical care, cardiology, and neurology. For this reason, it is important to admit patients to appropriate critical-care units with a prospective plan of care to anticipate, monitor, and treat each of these diverse problems. It is also important to appreciate the relative strengths and weaknesses of different tools for estimating the prognosis of patients after cardiac arrest.
Circulation | 2010
Robert W. Neumar; Charles W. Otto; Mark S. Link; Steven L. Kronick; Michael Shuster; Clifton W. Callaway; Peter J. Kudenchuk; Joseph P. Ornato; Bryan McNally; Scott M. Silvers; Rod Passman; Roger D. White; Erik P. Hess; Wanchun Tang; Daniel P. Davis; Elizabeth Sinz; Laurie J. Morrison
The goal of therapy for bradycardia or tachycardia is to rapidly identify and treat patients who are hemodynamically unstable or symptomatic due to the arrhythmia. Drugs or, when appropriate, pacing may be used to control unstable or symptomatic bradycardia. Cardioversion or drugs or both may be used to control unstable or symptomatic tachycardia. ACLS providers should closely monitor stable patients pending expert consultation and should be prepared to aggressively treat those with evidence of decompensation.
Circulation | 2010
Laurie J. Morrison; Charles D. Deakin; Peter Morley; Clifton W. Callaway; Richard E. Kerber; Steven L. Kronick; Eric J. Lavonas; Mark S. Link; Robert W. Neumar; Charles W. Otto; Michael Parr; Michael Shuster; Kjetil Sunde; Mary Ann Peberdy; Wanchun Tang; Terry L. Vanden Hoek; Bernd W. Böttiger; Saul Drajer; Swee Han Lim; Jerry P. Nolan
Part 8 : Advanced life support : 2010 International Consensus on Cardiopulmonary Resuscitation and Emergency Cardiovascular Care Science With Treatment Recommendations
The Lancet | 2012
Zachary D. Goldberger; Paul S. Chan; Robert A. Berg; Steven L. Kronick; Colin R. Cooke; Mingrui Lu; Mousumi Banerjee; Rodney A. Hayward; Harlan M. Krumholz; Brahmajee K. Nallamothu
BACKGROUND During in-hospital cardiac arrests, how long resuscitation attempts should be continued before termination of efforts is unknown. We investigated whether duration of resuscitation attempts varies between hospitals and whether patients at hospitals that attempt resuscitation for longer have higher survival rates than do those at hospitals with shorter durations of resuscitation efforts. METHODS Between 2000 and 2008, we identified 64,339 patients with cardiac arrests at 435 US hospitals within the Get With The Guidelines—Resuscitation registry. For each hospital, we calculated the median duration of resuscitation before termination of efforts in non-survivors as a measure of the hospitals overall tendency for longer attempts. We used multilevel regression models to assess the association between the length of resuscitation attempts and risk-adjusted survival. Our primary endpoints were immediate survival with return of spontaneous circulation during cardiac arrest and survival to hospital discharge. FINDINGS 31,198 of 64,339 (48·5%) patients achieved return of spontaneous circulation and 9912 (15·4%) survived to discharge. For patients achieving return of spontaneous circulation, the median duration of resuscitation was 12 min (IQR 6-21) compared with 20 min (14-30) for non-survivors. Compared with patients at hospitals in the quartile with the shortest median resuscitation attempts in non-survivors (16 min [IQR 15-17]), those at hospitals in the quartile with the longest attempts (25 min [25-28]) had a higher likelihood of return of spontaneous circulation (adjusted risk ratio 1·12, 95% CI 1·06-1·18; p<0·0001) and survival to discharge (1·12, 1·02-1·23; 0·021). INTERPRETATION Duration of resuscitation attempts varies between hospitals. Although we cannot define an optimum duration for resuscitation attempts on the basis of these observational data, our findings suggest that efforts to systematically increase the duration of resuscitation could improve survival in this high-risk population. FUNDING American Heart Association, Robert Wood Johnson Foundation Clinical Scholars Program, and the National Institutes of Health.
Circulation | 2015
Robert W. Neumar; Michael Shuster; Clifton W. Callaway; Lana M. Gent; Dianne L. Atkins; Farhan Bhanji; Steven C. Brooks; Allan R. de Caen; Michael W. Donnino; Jose Maria E. Ferrer; Monica E. Kleinman; Steven L. Kronick; Eric J. Lavonas; Mark S. Link; Mary E. Mancini; Laurie J. Morrison; Robert E. O'Connor; Ricardo A. Samson; Steven M. Schexnayder; Eunice M. Singletary; Elizabeth Sinz; Andrew H. Travers; Myra H. Wyckoff; Mary Fran Hazinski
Publication of the 2015 American Heart Association (AHA) Guidelines Update for Cardiopulmonary Resuscitation (CPR) and Emergency Cardiovascular Care (ECC) marks 49 years since the first CPR guidelines were published in 1966 by an Ad Hoc Committee on Cardiopulmonary Resuscitation established by the National Academy of Sciences of the National Research Council.1 Since that time, periodic revisions to the Guidelines have been published by the AHA in 1974,2 1980,3 1986,4 1992,5 2000,6 2005,7 2010,8 and now 2015. The 2010 AHA Guidelines for CPR and ECC provided a comprehensive review of evidence-based recommendations for resuscitation, ECC, and first aid. The 2015 AHA Guidelines Update for CPR and ECC focuses on topics with significant new science or ongoing controversy, and so serves as an update to the 2010 AHA Guidelines for CPR and ECC rather than a complete revision of the Guidelines. The purpose of this Executive Summary is to provide an overview of the new or revised recommendations contained in the 2015 Guidelines Update. This document does not contain extensive reference citations; the reader is referred to Parts 3 through 9 for more detailed review of the scientific evidence and the recommendations on which they are based. There have been several changes to the organization of the 2015 Guidelines Update compared with 2010. “Part 4: Systems of Care and Continuous Quality Improvement” is an important new Part that focuses on the integrated structures and processes that are necessary to create systems of care for both in-hospital and out-of-hospital resuscitation capable of measuring and improving quality and patient outcomes. This Part replaces the “CPR Overview” Part of the 2010 Guidelines. Another new Part of the 2015 Guidelines Update is “Part 14: Education,” which focuses on evidence-based recommendations to facilitate widespread, consistent, efficient and effective implementation …
Circulation | 2010
Laurie J. Morrison; Charles D. Deakin; Peter Morley; Clifton W. Callaway; Richard E. Kerber; Steven L. Kronick; Eric J. Lavonas; Mark S. Link; Robert W. Neumar; Charles W. Otto; Michael Parr; Michael Shuster; Kjetil Sunde; Mary Ann Peberdy; Wanchun Tang; Terry L. Vanden Hoek; Bernd W. Böttiger; Saul Drajer; Swee Han Lim; Jerry P. Nolan
art 8: Advanced life support 010 International Consensus on Cardiopulmonary Resuscitation and Emergency ardiovascular Care Science with Treatment Recommendations , harles D. Deakin (Co-chair) ∗,1 , Laurie J. Morrison (Co-chair)1 , Peter T. Morley , Clifton W. Callaway , ichard E. Kerber, Steven L. Kronick, Eric J. Lavonas, Mark S. Link, Robert W. Neumar, Charles W. Otto, ichael Parr, Michael Shuster, Kjetil Sunde, Mary Ann Peberdy, Wanchun Tang, aje erry L. Vanden Hoek, Bernd W. Böttiger, Saul Dr dvanced Life Support Chapter Collaborators
Operations Research | 2012
Soroush Saghafian; Wallace J. Hopp; Mark P. Van Oyen; Jeffrey S. Desmond; Steven L. Kronick
Crisis-level overcrowding conditions in emergency departments EDs have led hospitals to seek out new patient-flow designs to improve both responsiveness and safety. One approach that has attracted attention and experimentation in the emergency medicine community is a system in which ED beds and care teams are segregated and patients are “streamed” based on predictions of whether they will be discharged or admitted to the hospital. In this paper, we use a combination of analytic and simulation models to determine whether such a streaming policy can improve ED performance, where it is most likely to be effective, and how it should be implemented for maximum performance. Our results suggest that the concept of streaming can indeed improve patient flow, but only in some situations. First, ED resources must be shared across streams rather than physically separated. This leads us to propose a new “virtual-streaming” patient flow design for EDs. Second, this type of streaming is most effective in EDs with 1 a high percentage of admitted patients, 2 longer care times for admitted patients than discharged patients, 3 a high day-to-day variation in the percentage of admitted patients, 4 long patient boarding times e.g., caused by hospital “bed-block”, and 5 high average physician utilization. Finally, to take full advantage of streaming, physicians assigned to admit patients should prioritize upstream new patients, whereas physicians assigned to discharge patients should prioritize downstream old patients.
Circulation | 2015
Steven L. Kronick; Michael C. Kurz; Steve Lin; Dana P. Edelson; Robert A. Berg; John E. Billi; Jose G. Cabanas; David C. Cone; Deborah B. Diercks; James (Jim) Foster; Reylon Meeks; Andrew H. Travers; Michelle Welsford
The science and recommendations discussed in the other Parts of the 2015 American Heart Association (AHA) Guidelines Update for Cardiopulmonary Resuscitation (CPR) and Emergency Cardiovascular Care (ECC) form the backbone of resuscitation. They answer the “why”, “what,” and “when” of performing resuscitation steps. In a perfectly controlled and predictable environment, such as a laboratory setting, those answers often suffice, but the “how” of actual implementation depends on knowing the “who” and “where” as well. The ideal work flow to accomplish resuscitation successfully is highly dependent on the system of care as a whole. Healthcare delivery requires structure (eg, people, equipment, education, prospective registry data collection) and process (eg, policies, protocols, procedures), which, when integrated, produce a system (eg, programs, organizations, cultures) leading to outcomes (eg, patient safety, quality, satisfaction). An effective system of care (Figure 1) comprises all of these elements—structure, process, system, and patient outcomes—in a framework of continuous quality improvement (CQI). Figure 1. Taxonomy of systems of care. In this Part, we will focus on 2 distinct systems of care: the system for patients who arrest inside the hospital and the one for those who arrest outside it. We will set into context the building blocks for a system of care for cardiac arrest, with consideration of the setting, team, and available resources, as well as CQI from the moment the patient becomes unstable until after the patient is discharged. The chain of survival metaphor, first used almost 25 years ago,1 is still very relevant. However, it may be helpful to create 2 separate chains (Figure 2) to reflect the differences in the steps needed for response to cardiac arrest in the hospital (in-hospital cardiac arrest [IHCA]) and out of the hospital (out of hospital cardiac arrest [OHCA]). Regardless of where an arrest occurs, the care following resuscitation converges …
Manufacturing & Service Operations Management | 2014
Soroush Saghafian; Wallace J. Hopp; Mark P. Van Oyen; Jeffrey S. Desmond; Steven L. Kronick
Hospital emergency departments (EDs) typically use triage systems that classify and prioritize patients almost exclusively in terms of their need for timely care. Using a combination of analytic and simulation models, we demonstrate that adding an up-front estimate of patient complexity to conventional urgency-based classification can substantially improve both patient safety (by reducing the risk of adverse events) and operational efficiency (by shortening the average length of stay). Moreover, we find that EDs with high resource (physician and/or examination room) utilization, high heterogeneity in the treatment time between simple and complex patients, and a relatively equal number of simple and complex patients benefit most from complexity-augmented triage. Finally, we find that (1) although misclassification of a complex patient as simple is slightly more harmful than vice versa, complexity-augmented triage is relatively robust to misclassification error rates as high as 25p; (2) streaming patients based on complexity information and prioritizing them based on urgency is better than doing the reverse; and (3) separating simple and complex patients via streaming facilitates the application of lean methods that can further amplify the benefit of complexity-augmented triage.
Diabetes Research and Clinical Practice | 2003
Liza L. Ilag; Steven L. Kronick; Robert D. Ernst; Louise Grondin; Cesar Alaniz; Lei Liu; William H. Herman
To assess the management of diabetic ketoacidosis (DKA) and evaluate if introduction of a critical pathway improves management, we studied adults admitted with DKA to the Medicine and Critical Care Services in a US teaching hospital. Patients admitted with DKA in 1997 before implementation of the critical pathway were the control group (n=72). In 1998, housestaff and nurses in the emergency department (ED) and on the General Medicine and Critical Care Services were instructed in the use of the critical pathway. Patients admitted with DKA during 1998 (n=77) were the intervention group. Length of stay (LOS), hospital cost, adherence to guidelines, and medical outcomes to be avoided were compared, and regression analyses were performed to correlate processes and outcomes of care. Mean LOS and variability in LOS decreased during the intervention period, especially in patients treated without endocrinology consultation (EC) (5.2 +/- 10.6 vs. 2.4 +/- 2.1 days, P=0.01), and hospital cost and variability in cost tended to decrease (