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Choi KH, Kang D, Lee J, Park H, Park TK, Lee JM, Song YB, Hahn JY, Choi SH, Gwon HC, Cho J, Yang JH. Association between intensive care unit nursing grade and mortality in patients with cardiogenic shock and its cost-effectiveness. Crit Care 2024; 28:99. [PMID: 38523296 PMCID: PMC10962168 DOI: 10.1186/s13054-024-04880-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Accepted: 03/18/2024] [Indexed: 03/26/2024] Open
Abstract
BACKGROUND Despite the high workload of cardiac intensive care unit (ICU), there is a paucity of evidence on the association between nurse workforce and mortality in patients with cardiogenic shock (CS). This study aimed to evaluate the prognostic impact of the ICU nursing grade on mortality and cost-effectiveness in CS. METHODS A nationwide analysis was performed using the K-NHIS database. Patients diagnosed with CS and admitted to the ICU at tertiary hospitals were enrolled. ICU nursing grade was defined according to the bed-to-nurse ratio: grade1 (bed-to-nurse ratio < 0.5), grade2 (0.5 ≤ bed-to-nurse ratio < 0.63), and grade3 (0.63 ≤ bed-to-nurse ratio < 0.77) or above. The primary endpoint was in-hospital mortality. Cost-effective analysis was also performed. RESULTS Of the 72,950 patients with CS, 27,216 (37.3%) were in ICU nursing grade 1, 29,710 (40.7%) in grade 2, and 16,024 (22.0%) in grade ≥ 3. The adjusted-OR for in-hospital mortality was significantly higher in patients with grade 2 (grade 1 vs. grade 2, 30.6% vs. 37.5%, adjusted-OR 1.14, 95% CI1.09-1.19) and grade ≥ 3 (40.6%) with an adjusted-OR of 1.29 (95% CI 1.23-1.36) than those with grade 1. The incremental cost-effectiveness ratio of grade1 compared with grade 2 and ≥ 3 was $25,047/year and $42,888/year for hospitalization and $5151/year and $5269/year for 1-year follow-up, suggesting that grade 1 was cost-effective. In subgroup analysis, the beneficial effects of the high-intensity nursing grade on mortality were more prominent in patients who received CPR or multiple vasopressors usage. CONCLUSIONS For patients with CS, ICU grade 1 with a high-intensity nursing staff was associated with reduced mortality and more cost-effectiveness during hospitalization compared to grade 2 and grade ≥ 3, and its beneficial effects were more pronounced in subjects at high risk of CS.
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Affiliation(s)
- Ki Hong Choi
- Division of Cardiology, Department of Internal Medicine, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea
| | - Danbee Kang
- Department of Clinical Research Design and Evaluation, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea
- Center for Clinical Epidemiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea
| | - Jin Lee
- Department of Clinical Research Design and Evaluation, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea
- Center for Clinical Epidemiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea
| | - Hyejeong Park
- Center for Clinical Epidemiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea
| | - Taek Kyu Park
- Division of Cardiology, Department of Internal Medicine, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea
| | - Joo Myung Lee
- Division of Cardiology, Department of Internal Medicine, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea
| | - Young Bin Song
- Division of Cardiology, Department of Internal Medicine, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea
| | - Joo-Yong Hahn
- Division of Cardiology, Department of Internal Medicine, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea
| | - Seung-Hyuk Choi
- Division of Cardiology, Department of Internal Medicine, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea
| | - Hyeon-Cheol Gwon
- Division of Cardiology, Department of Internal Medicine, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea
| | - Juhee Cho
- Department of Clinical Research Design and Evaluation, SAIHST, Sungkyunkwan University, Seoul, Republic of Korea.
- Center for Clinical Epidemiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea.
| | - Jeong Hoon Yang
- Division of Cardiology, Department of Internal Medicine, Heart Vascular Stroke Institute, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea.
- Department of Critical Care Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
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Simko LC. Cardiogenic Shock and the Use of Percutaneous Mechanical Assist Devices. Crit Care Nurse 2022; 42:56-67. [PMID: 35100629 DOI: 10.4037/ccn2022140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Percutaneous mechanical assist devices are used in patients with cardiogenic shock. The purpose of this article is to familiarize critical care nurses with the various types of percutaneous mechanical assist devices, including the intra-aortic balloon pump, the Impella device, extracorporeal membrane oxygenation, and the TandemHeart device. Each type of device requires specific nursing care. In a patient with cardiogenic shock, the monitoring, care, and interventions provided by an experienced critical care nurse can make the difference between survival and death.
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Affiliation(s)
- Lynn Coletta Simko
- Lynn Coletta Simko is a retired associate professor, North Versailles, Pennsylvania
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Liu Y, Xiao J, Duan X, Lu X, Gong X, Chen J, Xiong M, Yin S, Guo X, Wu Z. The multivariable prognostic models for severe complications after heart valve surgery. BMC Cardiovasc Disord 2021; 21:491. [PMID: 34635052 PMCID: PMC8504034 DOI: 10.1186/s12872-021-02268-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Accepted: 09/11/2021] [Indexed: 11/15/2022] Open
Abstract
Background To provide multivariable prognostic models for severe complications prediction after heart valve surgery, including low cardiac output syndrome (LCOS), acute kidney injury requiring hemodialysis (AKI-rH) and multiple organ dysfunction syndrome (MODS).
Methods We developed multivariate logistic regression models to predict severe complications after heart valve surgery using 930 patients collected retrospectively from the first affiliated hospital of Sun Yat-Sen University from January 2014 to December 2015. The validation was conducted using a retrospective dataset of 713 patients from the same hospital from January 2016 to March 2017. We considered two kinds of prognostic models: the PRF models which were built by using the preoperative risk factors only, and the PIRF models which were built by using both of the preoperative and intraoperative risk factors. The least absolute shrinkage selector operator was used for developing the models. We assessed and compared the discriminative abilities for both of the PRF and PIRF models via the receiver operating characteristic (ROC) curve. Results Compared with the PRF models, the PIRF modes selected additional intraoperative factors, such as auxiliary cardiopulmonary bypass time and combined tricuspid valve replacement. Area under the ROC curves (AUCs) of PRF models for predicting LCOS, AKI-rH and MODS are 0.565 (0.466, 0.664), 0.688 (0.62, 0.757) and 0.657 (0.563, 0.751), respectively. As a comparison, the AUCs of the PIRF models for predicting LOCS, AKI-rH and MODS are 0.821 (0.747, 0.896), 0.78 (0.717, 0.843) and 0.774 (0.7, 0.847), respectively. Conclusions Adding the intraoperative factors can increase the predictive power of the prognostic models for severe complications prediction after heart valve surgery.
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Affiliation(s)
- Yunqi Liu
- Department of Cardiac Surgery, The First Affiliated Hospital of Sun Yat-Sen University, No.58, Zhongshan Road II, Guangzhou, 510080, China.,NCH Key Laboratory of Assisted Circulation, Sun Yat-Sen University, Guangzhou, 510080, China
| | - Jiefei Xiao
- NCH Key Laboratory of Assisted Circulation, Sun Yat-Sen University, Guangzhou, 510080, China.,Department of Extracorporeal Circulation, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, 510080, Guangdong, China
| | - Xiaoying Duan
- Department of Emergency, the Eighth Affiliated Hospital of Sun Yat-sen University, Shenzhen, 518000, China
| | - Xingwei Lu
- Department of Statistical Science, School of Mathematics, Sun Yat-Sen University, Guangzhou, China.,Southern China Center for Statistical Science, Sun Yat-Sen University, Guangzhou, 510275, China
| | - Xin Gong
- Department of Statistical Science, School of Mathematics, Sun Yat-Sen University, Guangzhou, China.,Southern China Center for Statistical Science, Sun Yat-Sen University, Guangzhou, 510275, China
| | - Jiantao Chen
- Department of Cardiac Surgery, The First Affiliated Hospital of Sun Yat-Sen University, No.58, Zhongshan Road II, Guangzhou, 510080, China
| | - Mai Xiong
- Department of Cardiac Surgery, The First Affiliated Hospital of Sun Yat-Sen University, No.58, Zhongshan Road II, Guangzhou, 510080, China
| | - Shengli Yin
- Department of Cardiac Surgery, The First Affiliated Hospital of Sun Yat-Sen University, No.58, Zhongshan Road II, Guangzhou, 510080, China. .,NCH Key Laboratory of Assisted Circulation, Sun Yat-Sen University, Guangzhou, 510080, China.
| | - Xiaobo Guo
- Department of Statistical Science, School of Mathematics, Sun Yat-Sen University, Guangzhou, China. .,Southern China Center for Statistical Science, Sun Yat-Sen University, Guangzhou, 510275, China.
| | - Zhongkai Wu
- Department of Cardiac Surgery, The First Affiliated Hospital of Sun Yat-Sen University, No.58, Zhongshan Road II, Guangzhou, 510080, China. .,NCH Key Laboratory of Assisted Circulation, Sun Yat-Sen University, Guangzhou, 510080, China.
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