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Awtry JA, Abernathy JH, Wu X, Yang J, Zhang M, Hou H, Kaneko T, de la Cruz KI, Stakich-Alpirez K, Yule S, Cleveland JC, Shook DC, Fitzsimons MG, Harrington SD, Pagani FD, Likosky DS. Evaluating the Impact of Operative Team Familiarity on Cardiac Surgery Outcomes: A Retrospective Cohort Study of Medicare Beneficiaries. Ann Surg 2024; 279:891-899. [PMID: 37753657 PMCID: PMC10965508 DOI: 10.1097/sla.0000000000006100] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/28/2023]
Abstract
OBJECTIVE To associate surgeon-anesthesiologist team familiarity (TF) with cardiac surgery outcomes. BACKGROUND TF, a measure of repeated team member collaborations, has been associated with improved operative efficiency; however, examination of its relationship to clinical outcomes has been limited. METHODS This retrospective cohort study included Medicare beneficiaries undergoing coronary artery bypass grafting (CABG), surgical aortic valve replacement (SAVR), or both (CABG+SAVR) between January 1, 2017, and September 30, 2018. TF was defined as the number of shared procedures between the cardiac surgeon and anesthesiologist within 6 months of each operation. Primary outcomes were 30- and 90-day mortality, composite morbidity, and 30-day mortality or composite morbidity, assessed before and after risk adjustment using multivariable logistic regression. RESULTS The cohort included 113,020 patients (84,397 CABG; 15,939 SAVR; 12,684 CABG+SAVR). Surgeon-anesthesiologist dyads in the highest [31631 patients, TF median (interquartile range)=8 (6, 11)] and lowest [44,307 patients, TF=0 (0, 1)] TF terciles were termed familiar and unfamiliar, respectively. The rates of observed outcomes were lower among familiar versus unfamiliar teams: 30-day mortality (2.8% vs 3.1%, P =0.001), 90-day mortality (4.2% vs 4.5%, P =0.023), composite morbidity (57.4% vs 60.6%, P <0.001), and 30-day mortality or composite morbidity (57.9% vs 61.1%, P <0.001). Familiar teams had lower overall risk-adjusted odds of 30-day mortality or composite morbidity [adjusted odds ratio (aOR) 0.894 (0.868, 0.922), P <0.001], and for SAVR significantly lower 30-day mortality [aOR 0.724 (0.547, 0.959), P =0.024], 90-day mortality [aOR 0.779 (0.620, 0.978), P =0.031], and 30-day mortality or composite morbidity [aOR 0.856 (0.791, 0.927), P <0.001]. CONCLUSIONS Given its relationship with improved 30-day cardiac surgical outcomes, increasing TF should be considered among strategies to advance patient outcomes.
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Affiliation(s)
- Jake A. Awtry
- Division of Cardiac Surgery, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
- Center for Surgery and Public Health, Boston, MA
| | - James H. Abernathy
- Division of Cardiac Anesthesiology, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Xiaoting Wu
- Department of Cardiac Surgery, Section of Health Services Research and Quality, Michigan Medicine, Ann Arbor, MI
| | - Jie Yang
- Department of Cardiac Surgery, Section of Health Services Research and Quality, Michigan Medicine, Ann Arbor, MI
| | - Min Zhang
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI
| | - Hechuan Hou
- Department of Cardiac Surgery, Section of Health Services Research and Quality, Michigan Medicine, Ann Arbor, MI
| | - Tsuyoshi Kaneko
- Division of Cardiothoracic Surgery, Washington University in St Louis/Barnes-Jewish Hospital, St. Louis, MO
| | - Kim I. de la Cruz
- Division of Cardiac Surgery, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - Korana Stakich-Alpirez
- Department of Cardiac Surgery, Section of Health Services Research and Quality, Michigan Medicine, Ann Arbor, MI
| | - Steven Yule
- School of Surgery, University of Edinburgh, Scotland, UK
| | - Joseph C. Cleveland
- Division of Cardiothoracic Surgery, University of Colorado Anschutz Medical Center, Aurora, CO
| | - Douglas C. Shook
- Department of Anesthesiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - Michael G. Fitzsimons
- Department of Anesthesia, Critical Care, and Pain Medicine, Massachusetts General Hospital, Boston, MA
| | | | - Francis D. Pagani
- Department of Cardiac Surgery, University of Michigan, Ann Arbor, MI
| | - Donald S. Likosky
- Department of Cardiac Surgery, Section of Health Services Research and Quality, Michigan Medicine, Ann Arbor, MI
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Kim DJ, Park YK, Kim KM, Kim SY, Jung JC, Chang HW, Lee JH, Kim JS, Lim C, Park KH. Improved clinical outcomes following introduction of an attending intensivist for patients admitted to the cardiac surgical intensive care unit after valvular heart surgery: a single-center experience. J Thorac Dis 2023; 15:4273-4284. [PMID: 37691679 PMCID: PMC10482617 DOI: 10.21037/jtd-23-581] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Accepted: 07/10/2023] [Indexed: 09/12/2023]
Abstract
Background Although numerous studies have documented the improved clinical outcomes of patients undergoing cardiac surgery following introduction of attending intensivist, most of these studies included heterogeneous patient populations. We aimed to investigate the impact of an attending intensivist on the clinical outcomes of patients admitted to the cardiac surgical intensive care unit (CSICU) following valvular heart surgery. Methods Patients who underwent valvular heart surgery between January 2007 and December 2012 (control group, n=337) were propensity matched (1:1) between January 2013 and June 2017 (intensivist group, n=407). Results During the propensity score matching analysis, 285 patients were extracted from each group. Patients in the intensivist group underwent mechanical ventilation for a significantly shorter time than those in the control group (21.8±69.8 vs. 39.2±115.3 hours, P=0.021). More patients were extubated within 6 hours in the intensivist group than in the control group (53.7% vs. 42.8%, P=0.015). The incidence of ventilator-associated pneumonia (1.4% vs. 4.9%, P=0.031), cardiac arrest due to cardiac tamponade associated with post-cardiotomy bleeding (0.4% vs. 3.9%, P=0.002), and acute kidney injury (2.8% vs. 7.7%, P=0.011) in the intensivist group was significantly lower than that in the control group. The 30-day mortality rate of the intensivist group was significantly lower than that of the control group (2.1% vs. 6.7%, P=0.015). Conclusions Critical care provided in the CSICU staffed by an attending intensivist is associated with a lower 30-day mortality rate and reduced incidence of postoperative complications.
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Kopanczyk R, Long MT, Satyapriya SV, Bhatt AM, Lyaker M. Developing Cardiothoracic Surgical Critical Care Intensivists: A Case for Distinct Training. MEDICINA (KAUNAS, LITHUANIA) 2022; 58:1865. [PMID: 36557067 PMCID: PMC9784574 DOI: 10.3390/medicina58121865] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 12/13/2022] [Accepted: 12/14/2022] [Indexed: 12/24/2022]
Abstract
Cardiothoracic surgical critical care medicine is practiced by a diverse group of physicians including surgeons, anesthesiologists, pulmonologists, and cardiologists. With a wide array of specialties involved, the training of cardiothoracic surgical intensivists lacks standardization, creating significant variation in practice. Additionally, it results in siloed physicians who are less likely to collaborate and advocate for the cardiothoracic surgical critical care subspeciality. Moreover, the current model creates credentialing dilemmas, as experienced by some cardiothoracic surgeons. Through the lens of critical care anesthesiologists, this article addresses the shortcomings of the contemporary cardiothoracic surgical intensivist training standards. First, we describe the present state of practice, summarize past initiatives concerning specific training, outline why standardized education is needed, provide goals of such training standardization, and offer a list of desirable competencies that a trainee should develop to become a successful cardiothoracic surgical intensivist.
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Affiliation(s)
- Rafal Kopanczyk
- Department of Anesthesiology, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA
| | - Micah T. Long
- Department of Anesthesiology, University of Wisconsin Hospitals & Clinics, Madison, WI 53792, USA
| | - Sree V. Satyapriya
- Department of Anesthesiology, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA
| | - Amar M. Bhatt
- Department of Anesthesiology, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA
| | - Michael Lyaker
- Department of Anesthesiology, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA
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Fujii Y, Hirota K, Muranishi K, Mori Y, Kambara K, Nishikawa Y, Hashiguchi M. Clinical impact of physician staffing transition in intensive care units: a retrospective observational study. BMC Anesthesiol 2022; 22:362. [PMID: 36435755 PMCID: PMC9701368 DOI: 10.1186/s12871-022-01905-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2022] [Accepted: 11/14/2022] [Indexed: 11/28/2022] Open
Abstract
Background Intensivists play an essential role in improving the outcomes of critically ill patients in intensive care units (ICUs). The transition of ICU physician staffing from low-intensity ICUs (elective intensivist or no intensivist consultation) to high-intensity ICUs (mandatory intensivist consultation or a closed ICU) improves clinical outcomes. However, whether a transition from high-intensity to low-intensity ICU staffing affects ICU outcomes and quality of care remains unknown. Methods A retrospective observational study was conducted to examine the impact of high- versus low-intensity staffing models on all-cause mortality in a suburban secondary community hospital with 400 general beds and 8 ICU beds. The ICU was switched from a high-intensity staffing model (high-former period) to low-intensity staffing in July 2019 (low-mid period) and then back to high-intensity staffing in March 2020 (high-latter period). Patients admitted from the emergency department, general ward, or operating room after emergency surgery were enrolled in these three periods and compared, balancing the predicted mortality and covariates of the patients. The primary outcome was all-cause mortality analyzed using hazard ratios (HRs) from Cox proportional hazards regression. An interrupted time-series analysis (ITSA) was also conducted to evaluate the effects of events (level change) and time. Results There were 962 eligible admissions, of which 251, 213, and 498 occurred in the high-former, low-mid, and high-latter periods, respectively. In the matched group (n = 600), the all-cause mortality rate comparing the high-former period with the low-mid period showed an HR of 0.88 [95% confidence interval (CI), 0.56, 1.39; p = 0.58] and that comparing the high-latter period with the low-mid period showed an HR of 0.84 [95% CI, 0.54, 1.30; p = 0.43]. The result for comparison between the three periods was p = 0.80. ITSA showed level changes of 4.05% [95% CI, -13.1, 21.2; p = 0.63] when ICU staffing changed from the high-former to the low-mid period and 1.35% [95% CI, -13.8, 16.5; p = 0.86] when ICU staffing changed from the low-mid to the high-latter period. Conclusion There was no statistically significant difference in all-cause mortality among the three ICU staffing periods. This study suggests that low-intensity ICU staffing might not worsen clinical outcomes in the ICU in a medium-sized community hospital. Multiple factors, including the presence of an intensivist, other medical staff, and practical guidelines, influence the prognosis of critically ill patients. Supplementary Information The online version contains supplementary material available at 10.1186/s12871-022-01905-0.
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Ko SJ, Cho J, Choi SM, Park YS, Lee CH, Yoo CG, Lee J, Lee SM. Impact of staffing model conversion from a mandatory critical care consultation model to a closed unit model in the medical intensive care unit. PLoS One 2021; 16:e0259092. [PMID: 34705879 PMCID: PMC8550369 DOI: 10.1371/journal.pone.0259092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Accepted: 10/12/2021] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND The intensive care unit (ICU) staffing model affects clinical outcomes of critically ill patients. However, the benefits of a closed unit model have not been extensively compared to those of a mandatory critical care consultation model. METHODS This retrospective before-after study included patients admitted to the medical ICU. Anthropometric data, admission reason, Acute Physiology and Chronic Health Evaluation II score, Eastern Cooperative Oncology Group grade, survival status, length of stay (LOS) in the ICU, duration of mechanical ventilator care, and occurrence of ventilator-associated pneumonia (VAP) were recorded. The staffing model of the medical ICU was changed from a mandatory critical care consultation model to a closed unit model in September 2017, and indices before and after the conversion were compared. RESULTS A total of 1,526 patients were included in the analysis. The mean age was 64.5 years, and 954 (62.5%) patients were men. The mean LOS in the ICU among survivors was shorter in the closed unit model than in the mandatory critical care consultation model by multiple regression analysis (5.5 vs. 6.7 days; p = 0.005). Central venous catheter insertion (38.5% vs. 51.9%; p < 0.001) and VAP (3.5% vs. 8.6%; p < 0.001) were less frequent in the closed unit model group than in the mandatory critical care consultation model group. After adjusting for confounders, the closed unit model group had decreased ICU mortality (adjusted odds ratio 0.65; p < 0.001) and shortened LOS in the ICU compared to the mandatory critical care consultation model group. CONCLUSION The closed unit model was superior to the mandatory critical care consultation model in terms of ICU mortality and LOS among ICU survivors.
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Affiliation(s)
- Sung Jun Ko
- Department of Internal Medicine, Wonkwang University Sanbon Hospital, Gunpo, Republic of Korea
| | - Jaeyoung Cho
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Sun Mi Choi
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Young Sik Park
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Chang-Hoon Lee
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Chul-Gyu Yoo
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Jinwoo Lee
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea
- * E-mail: (JL); (SML)
| | - Sang-Min Lee
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea
- * E-mail: (JL); (SML)
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