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Zhong L, Zhang Z, Ji X, Wang H, Xie B, Yang X. Relationship between initial red cell distribution width and ΔRDW and mortality in cardiac arrest patients. ESC Heart Fail 2024; 11:433-443. [PMID: 38030411 PMCID: PMC10804170 DOI: 10.1002/ehf2.14602] [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: 05/01/2023] [Revised: 09/22/2023] [Accepted: 11/03/2023] [Indexed: 12/01/2023] Open
Abstract
AIMS There has been a lack of research examining the relationship between red cell distribution width (RDW) and the prognosis of cardiac arrest (CA) patients. The prognostic value of the changes in RDW during intensive care unit (ICU) hospitalization for CA patients has not been investigated. This study aims to investigate the correlation between RDW measures at ICU admission and RDW changes during ICU hospitalization and the prognosis of CA patients and then develop a nomogram that predicts the risk of mortality of these patients. METHODS AND RESULTS A retrospective cohort study is used to collect clinical characteristics of CA patients (>18 years) that are on their first admission to ICU with RDW data measured from the Medical Information Mart for Intensive Care IV Version 2.0 database. Patients are randomly divided into a development cohort (75%) and a validation cohort (25%). The primary outcome is 30 and 360 day all-cause mortality. ΔRDW is defined as the RDW on ICU discharge minus RDW on ICU admission. A multivariate Cox regression model is applied to test whether the RDW represents an independent risk factor that affects the all-cause mortality of these patients. Meanwhile, the dose-response relationship between the RDW and the mortality is described by restricted cubic spine (RCS). A prediction model is constructed using a nomogram, which is then assessed using receiver operating characteristic curves, calibration curves, and decision curve analysis (DCA). A total of 1278 adult CA patients are included in this study. We found that non-survivors have a higher level of RDW and ΔRDW compared with survivors, and the mortality rate is higher in the high RDW group than in the normal RDW group. The Kaplan-Meier survival curve indicates that patients in the normal RDW group had a higher cumulative survival rate at 30 and 360 days than those in the high RDW group (log-rank test, χ2 = 36.710, χ2 = 54.960, both P values <0.05). The multivariate Cox regression analysis shows that elevated RDW at ICU admission (>15.50%) is an independent predictor of 30 [hazard ratio = 1.451, 95% confidence interval (CI) = 1.181-1.782, P < 0.001] and 360 day (hazard ratio = 1.393, 95% CI = 1.160-1.671, P < 0.001) all-cause mortality among CA patients, and an increase in RDW during ICU hospitalization (ΔRDW ≥ 0.4%) can serve as an independent predictor of mortality among these patients. A non-linear relationship between the RDW measured at ICU admission and the increased risk of mortality rate of these patients is shown by the RCS. This study established and validated a nomogram based on six variables, anion gap, first-day Sequential Organ Failure Assessment score, cerebrovascular disease, malignant tumour, norepinephrine use, and RDW, to predict mortality risk in CA patients. The consistency indices of 30 and 360 day mortality of CA patients in the validation cohort are 0.721 and 0.725, respectively. The nomogram proved to be well calibrated in the validation cohort. DCA curves indicated that the nomogram provided a higher net benefit over a wide, reasonable range of threshold probabilities for predicting mortality in CA patients and could be adapted for clinical decision-making. CONCLUSIONS Elevated RDW levels on ICU admission and rising RDW during ICU hospitalization are powerful predictors of all-cause mortality for CA patients at 30 and 360 days, and they can be used as potential clinical biomarkers to predict the bad prognosis of these patients. The newly developed nomogram, which includes RDW, demonstrates high efficacy in predicting the mortality of CA patients.
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Affiliation(s)
- Lei Zhong
- Department of Intensive Care UnitHuzhou Central Hospital (The Fifth School of Clinical Medicine of Zhejiang Chinese Medical University), Affiliated Central Hospital of Huzhou UniversityHuzhouZhejiangChina
- Emergency and Critical Care Center, Intensive Care UnitZhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical CollegeHangzhouZhejiangChina
| | - Zeng‐Yu Zhang
- The Second School of Clinical MedicineZhejiang Chinese Medical UniversityHangzhouZhejiangChina
| | - Xiao‐Wei Ji
- Department of Intensive Care UnitHuzhou Central Hospital (The Fifth School of Clinical Medicine of Zhejiang Chinese Medical University), Affiliated Central Hospital of Huzhou UniversityHuzhouZhejiangChina
| | - Hai‐Li Wang
- Department of Obstetrics and GynecologyHuzhou Central Hospital (The Fifth School of Clinical Medicine of Zhejiang Chinese Medical University), Affiliated Central Hospital of Huzhou UniversityHuzhouZhejiangChina
| | - Bo Xie
- Department of Intensive Care UnitHuzhou Central Hospital (The Fifth School of Clinical Medicine of Zhejiang Chinese Medical University), Affiliated Central Hospital of Huzhou UniversityHuzhouZhejiangChina
| | - Xiang‐Hong Yang
- Emergency and Critical Care Center, Intensive Care UnitZhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical CollegeHangzhouZhejiangChina
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Choudhary RC, Shoaib M, Hayashida K, Yin T, Miyara SJ, d’Abramo C, Heuser WG, Shinozaki K, Kim N, Takegawa R, Nishikimi M, Li T, Owens C, Molmenti EP, He M, Vanpatten S, Al-Abed Y, Kim J, Becker LB. Multi-Drug Cocktail Therapy Improves Survival and Neurological Function after Asphyxial Cardiac Arrest in Rodents. Cells 2023; 12:1548. [PMID: 37296668 PMCID: PMC10253071 DOI: 10.3390/cells12111548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 05/17/2023] [Accepted: 05/29/2023] [Indexed: 06/12/2023] Open
Abstract
BACKGROUND Cardiac arrest (CA) can lead to neuronal degeneration and death through various pathways, including oxidative, inflammatory, and metabolic stress. However, current neuroprotective drug therapies will typically target only one of these pathways, and most single drug attempts to correct the multiple dysregulated metabolic pathways elicited following cardiac arrest have failed to demonstrate clear benefit. Many scientists have opined on the need for novel, multidimensional approaches to the multiple metabolic disturbances after cardiac arrest. In the current study, we have developed a therapeutic cocktail that includes ten drugs capable of targeting multiple pathways of ischemia-reperfusion injury after CA. We then evaluated its effectiveness in improving neurologically favorable survival through a randomized, blind, and placebo-controlled study in rats subjected to 12 min of asphyxial CA, a severe injury model. RESULTS 14 rats were given the cocktail and 14 received the vehicle after resuscitation. At 72 h post-resuscitation, the survival rate was 78.6% among cocktail-treated rats, which was significantly higher than the 28.6% survival rate among vehicle-treated rats (log-rank test; p = 0.006). Moreover, in cocktail-treated rats, neurological deficit scores were also improved. These survival and neurological function data suggest that our multi-drug cocktail may be a potential post-CA therapy that deserves clinical translation. CONCLUSIONS Our findings demonstrate that, with its ability to target multiple damaging pathways, a multi-drug therapeutic cocktail offers promise both as a conceptual advance and as a specific multi-drug formulation capable of combatting neuronal degeneration and death following cardiac arrest. Clinical implementation of this therapy may improve neurologically favorable survival rates and neurological deficits in patients suffering from cardiac arrest.
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Affiliation(s)
- Rishabh C. Choudhary
- Laboratory for Critical Care Physiology, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY 11030, USA; (R.C.C.)
- Institute of Bioelectronic Medicine, Feinstein Institutes for Medical Research, Manhasset, NY 11030, USA
- Department of Emergency Medicine, Northwell Health, Manhasset, NY 11030, USA
| | - Muhammad Shoaib
- Laboratory for Critical Care Physiology, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY 11030, USA; (R.C.C.)
- Institute of Bioelectronic Medicine, Feinstein Institutes for Medical Research, Manhasset, NY 11030, USA
- Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY 11549, USA
| | - Kei Hayashida
- Laboratory for Critical Care Physiology, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY 11030, USA; (R.C.C.)
- Institute of Bioelectronic Medicine, Feinstein Institutes for Medical Research, Manhasset, NY 11030, USA
- Department of Emergency Medicine, Northwell Health, Manhasset, NY 11030, USA
| | - Tai Yin
- Laboratory for Critical Care Physiology, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY 11030, USA; (R.C.C.)
- Institute of Bioelectronic Medicine, Feinstein Institutes for Medical Research, Manhasset, NY 11030, USA
- Department of Emergency Medicine, Northwell Health, Manhasset, NY 11030, USA
| | - Santiago J. Miyara
- Laboratory for Critical Care Physiology, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY 11030, USA; (R.C.C.)
- Institute of Bioelectronic Medicine, Feinstein Institutes for Medical Research, Manhasset, NY 11030, USA
- Elmezzi Graduate School of Molecular Medicine, Manhasset, NY 11030, USA
| | - Cristina d’Abramo
- Litwin-Zucker Center for Research in Alzheimer’s Disease, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY 11030, USA
| | - William G. Heuser
- Department of Emergency Medicine, Northwell Health, Manhasset, NY 11030, USA
| | - Koichiro Shinozaki
- Laboratory for Critical Care Physiology, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY 11030, USA; (R.C.C.)
- Institute of Bioelectronic Medicine, Feinstein Institutes for Medical Research, Manhasset, NY 11030, USA
- Department of Emergency Medicine, Northwell Health, Manhasset, NY 11030, USA
| | - Nancy Kim
- Laboratory for Critical Care Physiology, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY 11030, USA; (R.C.C.)
- Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY 11549, USA
| | - Ryosuke Takegawa
- Laboratory for Critical Care Physiology, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY 11030, USA; (R.C.C.)
- Institute of Bioelectronic Medicine, Feinstein Institutes for Medical Research, Manhasset, NY 11030, USA
- Department of Emergency Medicine, Northwell Health, Manhasset, NY 11030, USA
| | - Mitsuaki Nishikimi
- Laboratory for Critical Care Physiology, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY 11030, USA; (R.C.C.)
- Institute of Bioelectronic Medicine, Feinstein Institutes for Medical Research, Manhasset, NY 11030, USA
- Department of Emergency Medicine, Northwell Health, Manhasset, NY 11030, USA
| | - Timmy Li
- Department of Emergency Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY 11549, USA
| | - Casey Owens
- Department of Emergency Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY 11549, USA
| | | | - Mingzhu He
- Institute of Bioelectronic Medicine, Feinstein Institutes for Medical Research, Manhasset, NY 11030, USA
| | - Sonya Vanpatten
- Institute of Bioelectronic Medicine, Feinstein Institutes for Medical Research, Manhasset, NY 11030, USA
| | - Yousef Al-Abed
- Institute of Bioelectronic Medicine, Feinstein Institutes for Medical Research, Manhasset, NY 11030, USA
- Department of Molecular Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY 11549, USA
| | - Junhwan Kim
- Laboratory for Critical Care Physiology, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY 11030, USA; (R.C.C.)
- Institute of Bioelectronic Medicine, Feinstein Institutes for Medical Research, Manhasset, NY 11030, USA
- Department of Emergency Medicine, Northwell Health, Manhasset, NY 11030, USA
- Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY 11549, USA
- Department of Molecular Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY 11549, USA
| | - Lance B. Becker
- Laboratory for Critical Care Physiology, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY 11030, USA; (R.C.C.)
- Institute of Bioelectronic Medicine, Feinstein Institutes for Medical Research, Manhasset, NY 11030, USA
- Department of Emergency Medicine, Northwell Health, Manhasset, NY 11030, USA
- Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY 11549, USA
- Department of Molecular Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY 11549, USA
- Emergency Medicine, Feinstein Institutes for Medical Research, Northwell Health, 350 Community Dr., Manhasset, NY 11030, USA
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