Paul S Chan1, Sarah L Krein2, Fengming Tang3, Theodore J Iwashyna2, Molly Harrod4, Mary Kennedy3, Jessica Lehrich5, Steven Kronick2, Brahmajee K Nallamothu2. 1. Saint Luke's Mid America Heart Institute, Kansas City, Missouri2Department of Medicine, University of Missouri, Kansas City. 2. The Veterans Affairs Health Services Research and Development Center of Innovation, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan4Department of Internal Medicine, Center for Healthcare Outcomes and Policy, University of Michigan, Ann A. 3. Department of Medicine, University of Missouri, Kansas City. 4. The Veterans Affairs Health Services Research and Development Center of Innovation, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan. 5. Department of Internal Medicine, Center for Healthcare Outcomes and Policy, University of Michigan, Ann Arbor.
Abstract
IMPORTANCE: Although survival of patients with in-hospital cardiac arrest varies markedly among hospitals, specific resuscitation practices that distinguish sites with higher cardiac arrest survival rates remain unknown. OBJECTIVE: To identify resuscitation practices associated with higher rates of in-hospital cardiac arrest survival. DESIGN, SETTING, AND PARTICIPANTS: Nationwide survey of resuscitation practices at hospitals participating in the Get With the Guidelines-Resuscitation registry and with 20 or more adult in-hospital cardiac arrest cases from January 1, 2012, through December 31, 2013. Data analysis was performed from June 10 to December 22, 2015. MAIN OUTCOMES AND MEASURES: Risk-standardized survival rates for cardiac arrest were calculated at each hospital and were then used to categorize hospitals into quintiles of performance. The association between resuscitation practices and quintiles of survival was evaluated using hierarchical proportional odds logistic regression models. RESULTS: Overall, 150 (78.1%) of 192 eligible hospitals completed the study survey, and 131 facilities with 20 or more adult in-hospital cardiac arrest cases comprised the final study cohort. Risk-standardized survival rates after in-hospital cardiac arrest varied substantially (median, 23.7%; range, 9.2%-37.5%). Several resuscitation practices were associated with survival on bivariate analysis, although only 3 were significant after multivariable adjustment: monitoring for interruptions in chest compressions (adjusted odds ratio [OR] for being in a higher survival quintile category, 2.71; 95% CI, 1.24-5.93; P = .01), reviewing cardiac arrest cases monthly (adjusted OR for being in a higher survival quintile category, 8.55; 95% CI, 1.79-40.00) or quarterly (OR, 6.85; 95% CI, 1.49-31.30; P = .03), and adequate resuscitation training (adjusted OR, 3.23; 95% CI, 1.21-8.33; P = .02). CONCLUSIONS AND RELEVANCE: Using survey information from acute care hospitals participating in a national quality improvement registry, we identified 3 resuscitation strategies associated with higher hospital rates of survival for patients with in-hospital cardiac arrest. These strategies can form the foundation for best practices for resuscitation care at hospitals given the high incidence and variation in survival for in-hospital cardiac arrest.
IMPORTANCE: Although survival of patients with in-hospital cardiac arrest varies markedly among hospitals, specific resuscitation practices that distinguish sites with higher cardiac arrest survival rates remain unknown. OBJECTIVE: To identify resuscitation practices associated with higher rates of in-hospital cardiac arrest survival. DESIGN, SETTING, AND PARTICIPANTS: Nationwide survey of resuscitation practices at hospitals participating in the Get With the Guidelines-Resuscitation registry and with 20 or more adult in-hospital cardiac arrest cases from January 1, 2012, through December 31, 2013. Data analysis was performed from June 10 to December 22, 2015. MAIN OUTCOMES AND MEASURES: Risk-standardized survival rates for cardiac arrest were calculated at each hospital and were then used to categorize hospitals into quintiles of performance. The association between resuscitation practices and quintiles of survival was evaluated using hierarchical proportional odds logistic regression models. RESULTS: Overall, 150 (78.1%) of 192 eligible hospitals completed the study survey, and 131 facilities with 20 or more adult in-hospital cardiac arrest cases comprised the final study cohort. Risk-standardized survival rates after in-hospital cardiac arrest varied substantially (median, 23.7%; range, 9.2%-37.5%). Several resuscitation practices were associated with survival on bivariate analysis, although only 3 were significant after multivariable adjustment: monitoring for interruptions in chest compressions (adjusted odds ratio [OR] for being in a higher survival quintile category, 2.71; 95% CI, 1.24-5.93; P = .01), reviewing cardiac arrest cases monthly (adjusted OR for being in a higher survival quintile category, 8.55; 95% CI, 1.79-40.00) or quarterly (OR, 6.85; 95% CI, 1.49-31.30; P = .03), and adequate resuscitation training (adjusted OR, 3.23; 95% CI, 1.21-8.33; P = .02). CONCLUSIONS AND RELEVANCE: Using survey information from acute care hospitals participating in a national quality improvement registry, we identified 3 resuscitation strategies associated with higher hospital rates of survival for patients with in-hospital cardiac arrest. These strategies can form the foundation for best practices for resuscitation care at hospitals given the high incidence and variation in survival for in-hospital cardiac arrest.
Authors: Paul S Chan; Harlan M Krumholz; John A Spertus; Philip G Jones; Peter Cram; Robert A Berg; Mary Ann Peberdy; Vinay Nadkarni; Mary E Mancini; Brahmajee K Nallamothu Journal: JAMA Date: 2010-11-15 Impact factor: 56.272
Authors: Peter A Meaney; Bentley J Bobrow; Mary E Mancini; Jim Christenson; Allan R de Caen; Farhan Bhanji; Benjamin S Abella; Monica E Kleinman; Dana P Edelson; Robert A Berg; Tom P Aufderheide; Venu Menon; Marion Leary Journal: Circulation Date: 2013-06-25 Impact factor: 29.690
Authors: R O Cummins; D Chamberlain; M F Hazinski; V Nadkarni; W Kloeck; E Kramer; L Becker; C Robertson; R Koster; A Zaritsky; L Bossaert; J P Ornato; V Callanan; M Allen; P Steen; B Connolly; A Sanders; A Idris; S Cobbe Journal: Circulation Date: 1997-04-15 Impact factor: 29.690
Authors: Zachary D Goldberger; Paul S Chan; Colin R Cooke; Rodney A Hayward; Harlan M Krumholz; Brahmajee K Nallamothu Journal: Lancet Date: 2013-02-09 Impact factor: 79.321
Authors: Elizabeth H Bradley; Leslie A Curry; Erica S Spatz; Jeph Herrin; Emily J Cherlin; Jeptha P Curtis; Jennifer W Thompson; Henry H Ting; Yongfei Wang; Harlan M Krumholz Journal: Ann Intern Med Date: 2012-05-01 Impact factor: 25.391
Authors: Paul S Chan; Robert A Berg; John A Spertus; Lee H Schwamm; Deepak L Bhatt; Gregg C Fonarow; Paul A Heidenreich; Brahmajee K Nallamothu; Fengming Tang; Raina M Merchant Journal: J Am Coll Cardiol Date: 2013-06-13 Impact factor: 24.094
Authors: Mary Ann Peberdy; William Kaye; Joseph P Ornato; Gregory L Larkin; Vinay Nadkarni; Mary Elizabeth Mancini; Robert A Berg; Graham Nichol; Tanya Lane-Trultt Journal: Resuscitation Date: 2003-09 Impact factor: 5.262
Authors: Brahmajee K Nallamothu; Timothy C Guetterman; Molly Harrod; Joan E Kellenberg; Jessica L Lehrich; Steven L Kronick; Sarah L Krein; Theodore J Iwashyna; Sanjay Saint; Paul S Chan Journal: Circulation Date: 2018-07-10 Impact factor: 29.690
Authors: Avirup Guha; Benjamin Buck; Michael Biersmith; Sameer Arora; Vedat Yildiz; Lai Wei; Farrukh Awan; Jennifer Woyach; Juan Lopez-Mattei; Juan Carlos Plana-Gomez; Guilherme H Oliveira; Michael G Fradley; Daniel Addison Journal: Resuscitation Date: 2019-07-13 Impact factor: 5.262
Authors: Samyukta Mullangi; Rohan Bhandari; Porama Thanaporn; Mary Christensen; Steven Kronick; Brahmajee K Nallamothu Journal: BMC Health Serv Res Date: 2020-02-27 Impact factor: 2.655
Authors: Jesse L Chan; Jessica Lehrich; Brahmajee K Nallamothu; Yuanyuan Tang; Mary Kennedy; Brad Trumpower; Paul S Chan Journal: J Am Heart Assoc Date: 2021-02-15 Impact factor: 5.501
Authors: Spyros D Mentzelopoulos; Keith Couper; Patrick Van de Voorde; Patrick Druwé; Marieke Blom; Gavin D Perkins; Ileana Lulic; Jana Djakow; Violetta Raffay; Gisela Lilja; Leo Bossaert Journal: Notf Rett Med Date: 2021-06-02 Impact factor: 0.826