1
|
Saito Y, Shiko Y, Tateishi K, Toda K, Matsumiya G, Kobayashi Y. Combined Risk Stratification With Patient Characteristics and Biomarkers in Patients Treated With the Impella for Cardiogenic Shock. J Am Heart Assoc 2025; 14:e040487. [PMID: 40281652 DOI: 10.1161/jaha.124.040487] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2024] [Accepted: 04/01/2025] [Indexed: 04/29/2025]
Abstract
BACKGROUND In patients with cardiogenic shock (CS), a percutaneous microaxial ventricular assist device (Impella, Abiomed, Danvers, MA) is a choice for temporary mechanical circulatory support. Given the high morbidity and mortality in this patient population, early risk stratification is relevant when making treatment decisions. METHODS Using nationwide registry data between February 2020 and December 2022 in Japan, we included a total of 4122 patients with cardiogenic shock treated with the Impella devices. Using logistic regression analysis, we incorporated patient characteristics and biomarkers to develop a risk-stratifying model for in-hospital mortality. The model was also tested if applicable to composite outcomes of in-hospital death and major complications. RESULTS Of the 4122 patients with cardiogenic shock, the Impella was indicated for acute myocardial infarction in 2575 (62.5%). Multivariable analysis identified 4 patient characteristics (age, body mass index, out-of-hospital cardiac arrest, and blood pressure) and 6 biomarkers (lactate, lactate dehydrogenase, creatinine, total bilirubin, albumin, and creatinine kinase) with cutoff values as factors significantly associated with in-hospital mortality. We developed a risk-stratifying model using the 10 variables, which was predictive of in-hospital death (area under the curve, 0.711; P<0.001). Adding biomarkers to patient characteristics significantly improved the diagnostic accuracy (area under the curve, from 0.649 to 0.711; P<0.001). This risk score was also predictive of death and major complications (area under the curve, 0.680; P<0.001). CONCLUSIONS In patients with cardiogenic shock treated with the Impella devices, our risk-stratifying system, consisting of 4 patient characteristics and 6 biomarkers, strongly correlated with in-hospital mortality, potentially facilitating clinical decision-making.
Collapse
Affiliation(s)
- Yuichi Saito
- Department of Cardiovascular Medicine Chiba University Graduate School of Medicine Chiba Japan
| | - Yuki Shiko
- Biostatistics Section, Clinical Research Center Chiba University Hospital Chiba Japan
- Department of Biostatistics, Graduate School of Medicine Saitama Medical University Saitama Japan
| | - Kazuya Tateishi
- Department of Cardiovascular Medicine Chiba University Graduate School of Medicine Chiba Japan
| | - Koichi Toda
- Department of Cardiovascular Surgery Dokkyo Medical University Saitama Medical Center Koshigaya Japan
| | - Goro Matsumiya
- Department of Cardiovascular Surgery Chiba University Graduate School of Medicine Chiba Japan
| | - Yoshio Kobayashi
- Department of Cardiovascular Medicine Chiba University Graduate School of Medicine Chiba Japan
| |
Collapse
|
2
|
Bai S, Zhang L, Yan W, Wang H. A cross-sectional observational study of the association between biochemistry profiles and the risk of age-related macular degeneration. Sci Rep 2025; 15:8588. [PMID: 40075135 PMCID: PMC11904207 DOI: 10.1038/s41598-025-89121-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2024] [Accepted: 02/03/2025] [Indexed: 03/14/2025] Open
Abstract
This study aimed to explore the relationship between biochemical profiles and the risk of age-related macular degeneration (AMD) through a cross-sectional observational analysis. We examined data of U. S. population from the 2005-2008 National Health and Nutrition Examination Survey (NHANES) database. Student's t-test, multivariable logistic regression, Pearson's correlation, restricted cubic spline (RCS) model, and linear regression were applied to analyze the underlying relationship between biochemical profiles and the AMD risk, through comparing data between the non-AMD and AMD subgroups. Multivariable logistic regression, adjusted for age and demographic factors, showed no significant associations between the AMD risk and the levets of specific biochemical parameters (P > 0.05). Pearson's correlation revealed a positive linear relationship between age and total bilirubin, uric acid in the non-AMD subgroup (P < 0.05), but no such liner association was found in the AMD subgroup (P > 0.05). The RCS model confirmed no non-linear relationships presented between these variables in the AMD subgroup. In addition, without age adjustment, significant associations were found between total bilirubin, uric acid, and the AMD presence (P < 0.05). Biochemical profiles, after adjusting for age, did not significantly influence the AMD risk. However, total bilirubin and uric acid might potentially be related to the AMD presence. Our findings suggest a need for further research to clarify the role of these biomarkers in AMD development.
Collapse
Affiliation(s)
- Shuwei Bai
- The Shaanxi Eye Hospital, Xi'an People's Hospital (Xi'an Fourth Hospital), Xi'an, China
| | - Lei Zhang
- The Shaanxi Eye Hospital, Xi'an People's Hospital (Xi'an Fourth Hospital), Xi'an, China
| | - Weiming Yan
- Fuzong Clinical Medical College of Fujian Medical University, Dongfang Hospital Affiliated to Xiamen University, Fuzhou, China
| | - Haiyan Wang
- The Shaanxi Eye Hospital, Xi'an People's Hospital (Xi'an Fourth Hospital), Xi'an, China.
| |
Collapse
|
3
|
Yamamoto K, Saito Y, Hashimoto O, Nakayama T, Okino S, Sakai Y, Nakamura Y, Fukuzawa S, Himi T, Kobayashi Y. Biomarkers for Risk Stratification in Patients With Type A Acute Aortic Dissection. Am J Cardiol 2024; 212:103-108. [PMID: 38040278 DOI: 10.1016/j.amjcard.2023.11.053] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Revised: 10/23/2023] [Accepted: 11/14/2023] [Indexed: 12/03/2023]
Abstract
Type A acute aortic dissection (AAD) is a fatal disease and thus, accurate and objective risk stratification is essential. In this study, we evaluated the prognostic value of readily available and assessable biomarkers in patients with type A AAD. This was a retrospective, multicenter, observational study. A total of 703 patients with type A AAD diagnosed using contrast-enhanced computed tomography were included. Therapeutic strategies were left to the physician's discretion in a real-world clinical setting. The prognostic value for in-hospital mortality was examined in 15 circulating biomarkers on admission, which are routinely available in clinical practice. Of the 703 patients, 126 (17.9%) died during the hospitalization. Of the 15 biomarkers, the multivariable analysis identified positive cardiac troponin, a low total bilirubin (T-Bil) level, and increased levels of brain natriuretic peptide (BNP) and lactate dehydrogenase (LDH) as significant predictors of in-hospital death. The receiver operating characteristics curve analysis showed that these 4 biomarkers had an independent additive prognostic value. With the cut-off values of T-Bil, BNP, and LDH, in combination with positive troponin, the increase in the number of positive biomarkers was progressively associated with higher in-hospital mortality from 1.3% to 9.8%, 20.5%, 36.4%, and 75.0% (p <0.001). In conclusion, in patients with type A AAD, positive cardiac troponin, a low T-Bil level, and increased levels of BNP and LDH on admission were related to higher in-hospital mortality, with an incremental prognostic value, suggesting that the readily available and assessable biomarkers can aid in decision-making in therapeutic strategies.
Collapse
Affiliation(s)
- Kayo Yamamoto
- Department of Cardiovascular Medicine, Chiba University Graduate School of Medicine, Chiba, Japan
| | - Yuichi Saito
- Department of Cardiovascular Medicine, Chiba University Graduate School of Medicine, Chiba, Japan.
| | - Osamu Hashimoto
- Department of Cardiology, Chiba Emergency Medical Center, Chiba, Japan
| | - Takashi Nakayama
- Department of Cardiovascular Medicine, International University of Health and Welfare, Narita, Japan
| | - Shinichi Okino
- Department of Cardiology, Funabashi Municipal Medical Center, Funabashi, Japan
| | - Yoshiaki Sakai
- Department of Cardiology, Chiba Emergency Medical Center, Chiba, Japan
| | - Yoshitake Nakamura
- Division of Cardiology, Chiba Cerebral and Cardiovascular Center, Ichihara, Japan
| | - Shigeru Fukuzawa
- Department of Cardiology, Funabashi Municipal Medical Center, Funabashi, Japan
| | - Toshiharu Himi
- Division of Cardiology, Kimitsu Central Hospital, Kisarazu, Japan
| | - Yoshio Kobayashi
- Department of Cardiovascular Medicine, Chiba University Graduate School of Medicine, Chiba, Japan
| |
Collapse
|
4
|
Nilsen DWT, Myhre PL, Solheim S, Tveit SH, Kalstad AA, Laake K, Tveit A, Seljeflot I. Total Bilirubin Yields Prognostic Information Following a Myocardial Infarction in the Elderly. Antioxidants (Basel) 2023; 12:1157. [PMID: 37371887 DOI: 10.3390/antiox12061157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 05/07/2023] [Accepted: 05/24/2023] [Indexed: 06/29/2023] Open
Abstract
Total bilirubin consists of an unconjugated form, solubilized by its binding to albumin, and a conjugated form representing a minor part of the circulating bilirubin. As total bilirubin in physiological concentrations is a powerful antioxidant, its concentration gradient may reflect the health status of an individual, and serve as a prognostic indicator of outcome in primary and secondary cardiovascular disease prevention. The aim of this study was to assess the association between total bilirubin and incident cardiovascular events following a myocardial infarction. Total bilirubin in serum was measured at baseline 2-8 weeks after hospitalization for an MI in 881 patients, aged 70 to 82 years, included in the OMEMI (Omega-3 Fatty acids in Elderly with Myocardial Infarction) study, where patients were followed-up for up to 2 years. The first major adverse clinical event (MACE) was the primary endpoint and consisted of nonfatal MI, unscheduled coronary revascularization, stroke, hospitalization for heart failure or all-cause death. As total bilirubin was non-normally distributed, log-transformed values and quartiles of bilirubin were analyzed using Cox regression models. The median (Q1, and Q3) baseline concentration of bilirubin was 11 (9, and 14) µmol/L, and higher log-transformed concentrations were associated with male sex, lower New York Heart Association (NYHA) class and non-smoking. MACE occurred in 177 (20.1%) patients during the follow-up. Higher concentrations of bilirubin were associated with a lower risk of MACE: HR 0.67 (95%CI 0.47-0.97) per log-unit increase, p = 0.032. Patients in the lowest quartile of bilirubin (<9 µmol/L) had the highest risk with HR 1.61 (95%CI 1.19-2.18), p = 0.002, compared to quartiles 2-4. This association remained significant even after adjusting for age, sex, body mass index (BMI), smoking status, NYHA class and treatment allocation: HR 1.52 (1.21-2.09), p = 0.009. Low concentrations of bilirubin (<9 µmol/L) are associated with increased nonfatal cardiovascular events or death in elderly patients with a recent myocardial infarction.
Collapse
Affiliation(s)
- Dennis Winston T Nilsen
- Department of Cardiology, Stavanger University Hospital, 4068 Stavanger, Norway
- Department of Clinical Science, Faculty of Medicine, University of Bergen, 5020 Bergen, Norway
| | - Peder Langeland Myhre
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, 0315 Oslo, Norway
- Department of Cardiology, Division of Medicine, Akershus University Hospital, 1474 Lørenskog, Norway
| | - Svein Solheim
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, 0315 Oslo, Norway
- Center for Clinical Heart Research, Department of Cardiology, Oslo University Hospital Ullevål, 0450 Oslo, Norway
| | - Sjur Hansen Tveit
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, 0315 Oslo, Norway
- Department of Cardiology, Division of Medicine, Akershus University Hospital, 1474 Lørenskog, Norway
| | - Are Annesønn Kalstad
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, 0315 Oslo, Norway
- Center for Clinical Heart Research, Department of Cardiology, Oslo University Hospital Ullevål, 0450 Oslo, Norway
| | - Kristian Laake
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, 0315 Oslo, Norway
- Center for Clinical Heart Research, Department of Cardiology, Oslo University Hospital Ullevål, 0450 Oslo, Norway
| | - Arnljot Tveit
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, 0315 Oslo, Norway
- Department of Medical Research, Bærum Hospital, Vestre Viken Hospital Trust, 1346 Gjettum, Norway
| | - Ingebjørg Seljeflot
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, 0315 Oslo, Norway
- Center for Clinical Heart Research, Department of Cardiology, Oslo University Hospital Ullevål, 0450 Oslo, Norway
| |
Collapse
|