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Kenigsberg, Benjamin B.

https://orcid.org/0000-0002-0146-9535

Mayo Clinic

MedStar Washington Hospital Center

Citations 5

Acute Kidney Injury and Outcomes in the Cardiac Intensive Care Unit: Insights from the Critical Care Cardiology Trials Network
Padkins, Mitchell , Papolos, Alexander , Kenigsberg, Benjamin B. , Katz, Jason N., Diepen, Sean van, Steverson, Alexandra K., Rose, Scott W. , Wang, Jeffrey, Park, Jeong‐Gun , Barsness, Gregory W. , Jentzer, Jacob Colin, Diepen, Sean van , Singam, N Sarma V , Padkins, Mitchell R , van Diepen, Sean , Jentzer, Jacob C , Singam, Narayana Sarma V. , Berg, David D. , Katz, Jason N , Bohula, Erin A. , Morrow, David A. , Jentzer, Jacob C.

Journal of Intensive Care Medicine | April 9, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1177/08850666261440201 Get It

Background Acute kidney injury (AKI) is associated with high morbidity and mortality in critically ill patients. Multicenter analyses describing the epidemiology of AKI in the cardiac intensive care unit (CICU) are scarce. Here, we describe the prevalence, predictors, and outcomes associated with AKI in a contemporary multicenter CICU population. Methods The Critical Care Cardiology Trials Network (CCCTN) is a collaboration of CICUs in North America coordinated by the TIMI Study Group (Boston, MA). We evaluated patient and hospital-level outcomes as a function of creatinine-only Kidney Disease: Improving Global Outcomes (KDIGO) AKI stage within the CCCTN registry. Logistic regression was used to assess associations with in-hospital mortality. Results Among 21 603 admissions, the overall prevalence of AKI was 23.7%, which was composed of KDIGO stage 1: 12.7%, stage 2: 1.7%, and stage 3: 9.2%. A higher prevalence and severity of AKI were seen in patients with baseline kidney disease, hypertension, or diabetes and in admissions with heart failure, cardiogenic shock, and cardiac arrest ( P < .001 for all). There was a stepwise increase in hospital mortality across AKI stages (stage 1: 23%, stage 2: 39%, stage 3: 42%; P < .0001). The increased risk of death associated with progressive AKI stage persisted after multivariate adjustment (adjusted OR: stage 1: 2.1, stage 2: 3.7, stage 3: 3.4). Conclusions AKI occurs in 1 in 4 admissions to the CICU, and a higher AKI stage is incrementally associated with in-hospital mortality, highlighting a need to develop strategies to mitigate AKI and its complications.
Prognostic significance of haemodynamic parameters in patients with cardiogenic shock
Berg, David D. , Baird-Zars, Vivian M., Alviar, Carlos L. , Barsness, Gregory W. , Burke, James A. , Chonde, Meshe , Cooper, Howard A., Daniels, Lori B. , Dodson, Mark , Gidwani, Umesh , Goldfarb, Michael , Guo, Jianping , Hillerson, Dustin , Kenigsberg, Benjamin B. , Kochar, Ajar , Kontos, Michael C. , Lopes, Mathew S. , Loriaux, Daniel B. , Miller, P. Elliott , O’Brien, Connor , Papolos, Alexander , Patel, Siddharth M. , Pisani, Barbara , Prasad, Rajnish, Smith, Timothy D., Teuteberg, Jeffrey J. , Thompson, Andrea D. , Zakaria, Sammy , Katz, Jason N. , Goldfarb, Michael , Kochar, Ajar , Patel, Siddharth M , Solomon, Michael A , van Diepen, Sean , Goldfarb, Michael , Daniels, Lori B , Goldfarb, Michael , Berg, David , Thompson, Andrea , Zakaria, Sammy , Chonde, Meshe D , O'Brien, Connor G , Hillerson, Dustin , Kaur, Gurleen , Bohula, Erin A. , Barnett, Christopher F. , Burke, James A, Chaudhry, Sunit‐Preet , Gerber, Daniel , Ghafghazi, Shahab , Kwon, Younghoon, Potter, Brian J , Prasad, Rajnish, Roswell, Robert O. , Shah, Kevin S , Sinha, Shashank S , Solomon, Michael A. , Diepen, Sean van , Morrow, David A.

European Heart Journal: Acute Cardiovascular Care | August 16, 2023 | Volume: 12 | Issue: 10 | Pages: 651-660

10.1093/ehjacc/zuad095 Get It

Abstract Aims Invasive haemodynamic assessment with a pulmonary artery catheter is often used to guide the management of patients with cardiogenic shock (CS) and may provide important prognostic information. We aimed to assess prognostic associations and relationships to end-organ dysfunction of presenting haemodynamic parameters in CS. Methods and results The Critical Care Cardiology Trials Network is an investigator-initiated multicenter registry of cardiac intensive care units (CICUs) in North America coordinated by the TIMI Study Group. Patients with CS (2018–2022) who underwent invasive haemodynamic assessment within 24 h of CICU admission were included. Associations of haemodynamic parameters with in-hospital mortality were assessed using logistic regression, and associations with presenting serum lactate were assessed using least squares means regression. Sensitivity analyses were performed excluding patients on temporary mechanical circulatory support and adjusted for vasoactive-inotropic score. Among the 3603 admissions with CS, 1473 had haemodynamic data collected within 24 h of CICU admission. The median cardiac index was 1.9 (25th–75th percentile, 1.6–2.4) L/min/m2 and mean arterial pressure (MAP) was 74 (66–86) mmHg. Parameters associated with mortality included low MAP, low systolic blood pressure, low systemic vascular resistance, elevated right atrial pressure (RAP), elevated RAP/pulmonary capillary wedge pressure ratio, and low pulmonary artery pulsatility index. These associations were generally consistent when controlling for the intensity of background pharmacologic and mechanical haemodynamic support. These parameters were also associated with higher presenting serum lactate. Conclusion In a contemporary CS population, presenting haemodynamic parameters reflecting decreased systemic arterial tone and right ventricular dysfunction are associated with adverse outcomes and systemic hypoperfusion.
Clinician and Algorithmic Application of the 2019 and 2022 Society of Cardiovascular Angiography and Intervention Shock Stages in the Critical Care Cardiology Trials Network Registry
Patel, Siddharth M. , Berg, David D. , Bohula, Erin A. , Baird-Zars, Vivian M., Barnett, Christopher F. , Barsness, Gregory W. , Chaudhry, Sunit‐Preet , Daniels, Lori B. , Diepen, Sean van , Goldfarb, Michael , Katz, Jason N. , Kenigsberg, Benjamin B. , Lawler, Patrick R. , Miller, P. Elliott , Papolos, Alexander , Park, Jeong‐Gun , Prasad, Rajnish, Teuteberg, Jeffrey J. , Investigators, on behalf of the CCCTN, Goldfarb, Michael , van Diepen, Sean , Goldfarb, Michael , Jentzer, Jacob C , Lawler, Patrick , Miller, P Elliott , Potter, Brian J , Singam, N Sarma V , Solomon, Michael A , Teuteberg, Jeffrey J , Morrow, David A , Goldfarb, Michael , Daniels, Lori B , Bohula, Erin A , Berg, David , Patel, Siddharth M , Ghafghazi, Shahab , Jentzer, Jacob C. , Prasad, Rajnish, Singam, Narayana Sarma V. , Sinha, Shashank S , Solomon, Michael A. , Morrow, David A. , Investigators, on behalf of the CCCTN

Circulation: Heart Failure | December 2, 2022 | Volume: 16 | Issue: 1 | Pages: No page available

10.1161/circheartfailure.122.009714 Get It

Background: Algorithmic application of the 2019 Society of Cardiovascular Angiography and Intervention (SCAI) shock stages effectively stratifies mortality risk for patients with cardiogenic shock. However, clinician assessment of SCAI staging may differ. Moreover, the implications of the 2022 SCAI criteria update remain incompletely defined. Methods: The Critical Care Cardiology Trials Network is a multicenter registry of cardiac intensive care units (CICUs). Between 2019 and 2021, participating centers (n=32) contributed at least a 2-month snapshot of consecutive medical CICU admissions. In-hospital mortality was assessed across 3 separate staging methods: clinician assessment, Critical Care Cardiology Trials Network algorithmic application of the 2019 SCAI criteria, and a revision of the Critical Care Cardiology Trials Network application using the 2022 SCAI criteria. Results: Of 9612 admissions, 1340 (13.9%) presented with cardiogenic shock with in-hospital mortality of 35.2%. Both clinician and algorithm-based staging using the 2019 SCAI criteria identified a stepwise gradient of mortality risk (stage C–E: 19.0% to 83.7% and 14.6% to 52.2%, respectively; P trend <0.001 for each). Clinician assignment of SCAI stages identified higher risk patients compared with algorithm-based assignment (stage D: 49.9% versus 29.3%; stage E: 83.7% versus 52.2%). Algorithmic application of the 2022 SCAI criteria, with incorporation of the vasoactive-inotropic score, more closely approximated clinician staging (mortality for stage C-E: 21.9% to 70.5%; P trend <0.001). Conclusions: Both clinician and algorithm-based application of the 2019 SCAI stages identify a stepwise gradient of mortality risk, although clinician-staging may better allocate higher risk patients into advanced SCAI stages. Updated algorithmic staging using the 2022 SCAI criteria and vasoactive-inotropic score further refines risk stratification.
Critical Care Cardiology Trials Network (CCCTN): a cohort profile
Metkus, Thomas S. , Baird-Zars, Vivian M., Alfonso, Carlos E., Alviar, Carlos L. , Barsness, Gregory W. , Bertić, Mia , Bohula, Erin A. , Burke, James A. , Burstein, Barry , Cooper, Howard A., Daniels, Lori B. , Goldfarb, Michael , Katz, Jason N. , Keeley, Ellen C. , Keller, Norma, Kenigsberg, Benjamin B. , Kontos, Michael C. , Lawler, Patrick R. , Leibner, Evan , Menon, Venu , Miller, P. Elliott , Newby, L. Kristin , O’Brien, Connor , Papolos, Alexander , Pierce, Matthew J, Prasad, Rajnish, Pisani, Barbara , Smith, Timothy D., Snell, R. Jeffrey, So, Derek , Ternus, Bradley , Teuteberg, Jeffrey J. , Zakaria, Sammy , Goldfarb, Michael , Pierce, Matthew , Fordyce, Christopher B , Goldfarb, Michael , Solomon, Michael A , van Diepen, Sean , Goldfarb, Michael , Lawler, Patrick , Daniels, Lori B , Bohula, Erin A , Zakaria, Sammy , O'Brien, Connor G , Pierce, Matthew J , Barnett, Christopher F. , Berg, David D. , Burke, James, Chaudhry, Sunit‐Preet , Fordyce, Christopher B. , Ghafghazi, Shahab , Kwon, Younghoon, Liu, Shuangbo , Prasad, Rajnish, Potter, Brian J , Roswell, Robert O. , Sinha, Shashank S , Shah, Kevin S , Solomon, Michael A. , Diepen, Sean van , Morrow, David A.

European Heart Journal - Quality of Care and Clinical Outcomes | August 27, 2022 | Volume: 8 | Issue: 7 | Pages: 703-708

10.1093/ehjqcco/qcac055 Get It

AbstractAimsThe aims of the Critical Care Cardiology Trials Network (CCCTN) are to develop a registry to investigate the epidemiology of cardiac critical illness and to establish a multicentre research network to conduct randomised clinical trials (RCTs) in patients with cardiac critical illness.Methods and resultsThe CCCTN was founded in 2017 with 16 centres and has grown to a research network of over 40 academic and clinical centres in the United States and Canada. Each centre enters data for consecutive cardiac intensive care unit (CICU) admissions for at least 2 months of each calendar year. More than 20 000 unique CICU admissions are now included in the CCCTN Registry. To date, scientific observations from the CCCTN Registry include description of variations in care, the epidemiology and outcomes of all CICU patients, as well as subsets of patients with specific disease states, such as shock, heart failure, renal dysfunction, and respiratory failure. The CCCTN has also characterised utilization patterns, including use of mechanical circulatory support in response to changes in the heart transplantation allocation system, and the use and impact of multidisciplinary shock teams. Over years of multicentre collaboration, the CCCTN has established a robust research network to facilitate multicentre registry-based randomised trials in patients with cardiac critical illness.ConclusionThe CCCTN is a large, prospective registry dedicated to describing processes-of-care and expanding clinical knowledge in cardiac critical illness. The CCCTN will serve as an investigational platform from which to conduct randomised controlled trials in this important patient population.
Clinical Practice Patterns in Temporary Mechanical Circulatory Support for Shock in the Critical Care Cardiology Trials Network (CCCTN) Registry
Berg, David D. , Barnett, Christopher F. , Kenigsberg, Benjamin B. , Papolos, Alexander , Alviar, Carlos L. , Baird-Zars, Vivian M., Barsness, Gregory W. , Bohula, Erin A. , Brennan, Joseph , Burke, James A. , Cremer, Paul , Daniels, Lori B. , DeFilippis, Andrew P. , Granger, Christopher B. , Hollenberg, Steven M. , Horowitz, James M. , Gladden, James D., Katz, Jason N. , Keeley, Ellen C. , Keller, Norma , Kontos, Michael C. , Lawler, Patrick R. , Menon, Venu , Metkus, Thomas S. , Miller, P. Elliott , Nativi-Nicolau, José , Newby, L. Kristin , Park, Jeong-Gun, Phreaner, Nicholas , Roswell, Robert O. , Schulman, Steven P. , Snell, R. Jeffrey, Solomon, Michael A. , Teuteberg, Jeffrey J. , Tymchak, Wayne , Morrow, David A. , Lawler, Patrick , Solomon, Michael A , Morrow, David A , Granger, Christopher B , Roswell, Robert O , Daniels, Lori B , Bohula, Erin A , Cremer, Paul C , Berg, David , Burke, James A., Carnicelli, Anthony , Chaudhry, Sunit‐Preet , Gerber, Daniel , Park, Jeong‐Gun , Sinha, Shashank S , Diepen, Sean van

Circulation: Heart Failure | November 11, 2019 | Volume: 12 | Issue: 11 | Pages: No page available

10.1161/circheartfailure.119.006635 Get It

Background: Temporary mechanical circulatory support (MCS) devices provide hemodynamic assistance for shock refractory to pharmacological treatment. Most registries have focused on single devices or specific etiologies of shock, limiting data regarding overall practice patterns with temporary MCS in cardiac intensive care units. Methods: The CCCTN (Critical Care Cardiology Trials Network) is a multicenter network of tertiary CICUs in North America. Between September 2017 and September 2018, each center (n=16) contributed a 2-month snapshot of consecutive medical CICU admissions. Results: Of the 270 admissions using temporary MCS, 33% had acute myocardial infarction-related cardiogenic shock (CS), 31% had CS not related to acute myocardial infarction, 11% had mixed shock, and 22% had an indication other than shock. Among all 585 admissions with CS or mixed shock, 34% used temporary MCS during the CICU stay with substantial variation between centers (range: 17%–50%). The most common temporary MCS devices were intraaortic balloon pumps (72%), Impella (17%), and veno-arterial extracorporeal membrane oxygenation (11%), although intraaortic balloon pump use also varied between centers (range: 40%–100%). Patients managed with intraaortic balloon pump versus other forms of MCS (advanced MCS) had lower Sequential Organ Failure Assessment scores and less severe metabolic derangements. Illness severity was similar at high- versus low-MCS utilizing centers and at centers with more advanced MCS use. Conclusions: There is wide variation in the use of temporary MCS among patients with shock in tertiary CICUs. While hospital-level variation in temporary MCS device selection is not explained by differences in illness severity, patient-level variation appears to be related, at least in part, to illness severity.