The Caprini Risk Score for Early Prediction of Mortality in Patients With Acute Coronary Syndrome

被引:0
|
作者
Li, Wentao [1 ]
Wang, Yujia [2 ,3 ]
Li, Dongze [2 ,3 ]
Jia, Yu [2 ]
Li, Fanghui [1 ]
Chen, Tengda [1 ]
Liu, Yi [2 ,3 ]
Zeng, Zhi [2 ]
Wan, Zhi [2 ]
Zeng, Rui [4 ]
Wu, Hongying [5 ]
机构
[1] Sichuan Univ, West China Hosp, West China Sch Med, Chengdu, Peoples R China
[2] Sichuan Univ, West China Hosp, West China Sch Med, Dept Emergency Med, Chengdu, Peoples R China
[3] Sichuan Univ West China Sch Med, West China Hosp, West China Sch Nursing, Chengdu, Peoples R China
[4] Sichuan Univ West China, West China Hosp, Dept Cardiol, Sch Med, Chengdu, Peoples R China
[5] Univ Elect Sci & Technol China, Sichuan Prov Peoples Hosp, Dept Geriatr Nursing, Chengdu, Peoples R China
关键词
acute coronary syndrome; Caprini Risk Score; mortality; prognosis; risk stratification tool; VENOUS THROMBOEMBOLISM; MYOCARDIAL-INFARCTION; HOSPITAL MORTALITY; ISCHEMIC-STROKE; ATHEROSCLEROSIS; PREVENTION; DIAGNOSIS; SEVERITY; REGISTRY;
D O I
10.1097/JCN.0000000000000949
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
BackgroundThe Caprini Risk Score (CRS) is a validated predictive instrument for venous thrombosis. Previous investigators have shown that a high CRS is associated with a higher risk of mortality from thrombotic diseases.ObjectiveThe aim of this study was to assess the association between the CRS and prognosis of patients with acute coronary syndrome (ACS).MethodsSecondary analysis of data from a retrospective cohort study was conducted. Patients were classified into 3 CRS-based categories (CRS & LE; 2, CRS = 3-4, and CRS & GE; 5, indicating low, medium, and high, respectively). Kaplan-Meier curves and Cox regression models were used to assess the prognosis of patients with ACS. All-cause mortality and cardiac mortality were the end points.ResultsTwo hundred fifty-four patients (12.8%) died during follow-up. Multivariate Cox regression models identified CRS as an independent risk factor for all-cause mortality among patients with ACS (CRS = 3-4 vs CRS & LE; 2, hazard ratio: 3.268, 95% confidence interval: 1.396-7.647, P = .006; CRS & GE; 5 vs CRS & LE; 2, hazard ratio: 4.099, 95% confidence interval: 1.708-9.841, P = .002). Pearson correlation analysis showed a positive correlation between CRS and fibrinogen level (r = 0.486, R-2 = 0.765, P < .001) as well as D-dimer level (r = 0.480, R-2 = 0.465, P < .001).ConclusionThe CRS is a useful prognostic assessment instrument for patients with ACS, and the risk stratification of patients with ACS can be achieved based on their CRS at admission.
引用
收藏
页码:472 / 480
页数:9
相关论文
共 50 条
  • [21] Validation of the GRACE Risk Score for Hospital Mortality in Patients With Acute Coronary Syndrome in the Arab Middle East
    Yusufali, Afzalhussein
    Zubaid, Mohammad
    Al-Zakwani, Ibrahim
    Alsheikh-Ali, Alawi A.
    Al-Mallah, Mouaz H.
    Al Suwaidi, Jassim
    AlMahmeed, Wael
    Rashed, Wafa
    Sulaiman, Kadhim
    Amin, Haitham
    ANGIOLOGY, 2011, 62 (05) : 390 - 396
  • [22] Validation of the Global Registry of Acute Coronary Event (GRACE) risk score for in-hospital mortality in patients with acute coronary syndrome in Canada
    Elbarouni, Basem
    Goodman, Shaun G.
    Yan, Raymond T.
    Welsh, Robert C.
    Kornder, Jan M.
    DeYoung, J. Paul
    Wong, Graham C.
    Rose, Barry
    Grondin, Francois R.
    Gallo, Richard
    Tan, Mary
    Casanova, Amparo
    Eagle, Kim A.
    Yan, Andrew T.
    AMERICAN HEART JOURNAL, 2009, 158 (03) : 392 - 399
  • [23] ProACS risk score: An early and simple score for risk stratification of patients with acute coronary syndromes
    Timoteo, Ana Teresa
    Rosa, Silvia Aguiar
    Nogueira, Marta Afonso
    Belo, Adriana
    Ferreira, Rui Cruz
    REVISTA PORTUGUESA DE CARDIOLOGIA, 2017, 36 (02) : 77 - 83
  • [24] High Quality Phenotypic Data and Machine Learning beat a Generic Risk Score in the Prediction of Mortality in Acute Coronary Syndrome
    Antila, Kari
    Oksala, Niku
    Hernesniemi, Jussi A.
    ERCIM NEWS, 2019, (118): : 29 - 30
  • [25] A simplified score for bleeding risk assessment in patients with an acute coronary syndrome
    Fernando Fonseca Goncalves, F.
    Borges, S. C.
    Monteiro, J. J.
    Carvalho, P.
    Mateus, P. S.
    Moreira, J. I.
    EUROPEAN JOURNAL OF HEART FAILURE, 2020, 22 : 244 - 245
  • [26] ProACS score: an early and simple score for risk stratification of patients with Acute Coronary Syndromes
    Timoteo, A. T.
    Rosa, S. Aguiar
    Nogueira, M. Afonso
    Ferreira, R. Cruz
    EUROPEAN HEART JOURNAL, 2015, 36 : 416 - 417
  • [27] THE RESIDUAL SYNTAX SCORE FOR MORTALITY RISK ASSESSMENT IN ACUTE CORONARY SYNDROME WITH CARDIOGENIC SHOCK
    Adachi, Hidenori
    Yasuoka, Yoshinori
    Kume, Kiyoshi
    Hattori, Susumu
    Noda, Yoshiki
    Araki, Ryo
    Matsutera, Ryo
    Kosugi, Motohiro
    Kohama, Yasuaki
    Nakashima, Tetsufumi
    Sasaki, Tatsuya
    JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2013, 61 (10) : E20 - E20
  • [28] Canada Acute Coronary Syndrome Risk Score: A new risk score for early prognostication in acute coronary syndromes (vol 166, pg 58, 2013)
    Huynh, Thao
    Kouz, Simon
    O'Loughlin, Jennifer
    Yan, Andrew T.
    Yan, Raymond T.
    Dery, Jean-Pierre
    Lauzon, Claude
    AMERICAN HEART JOURNAL, 2013, 166 (03) : 604 - 604
  • [29] Validation of a Contemporary Acute Kidney Injury Risk Score in Patients With Acute Coronary Syndrome
    Landi, Antonio
    Chiarito, Mauro
    Branca, Mattia
    Frigoli, Enrico
    Gagnor, Andrea
    Calabro, Paolo
    Briguori, Carlo
    Ando, Giuseppe
    Repetto, Alessandra
    Limbruno, Ugo
    Sganzerla, Paolo
    Lupi, Alessandro
    Cortese, Bernardo
    Ausiello, Arturo
    Ierna, Salvatore
    Esposito, Giovanni
    Ferrante, Giuseppe
    Santarelli, Andrea
    Sardella, Gennaro
    Varbella, Ferdinando
    Heg, Dik
    Mehran, Roxana
    Valgimigli, Marco
    JACC-CARDIOVASCULAR INTERVENTIONS, 2023, 16 (15) : 1873 - 1886
  • [30] No-Reflow Prediction in Acute Coronary Syndrome During Percutaneous Coronary Intervention: The NORPACS Risk Score
    Dawson, Luke P.
    Rashid, Muhammad
    Dinh, Diem T.
    Brennan, Angela
    Bloom, Jason E.
    Biswas, Sinjini
    Lefkovits, Jeffrey
    Shaw, James A.
    Chan, William
    Clark, David J.
    Oqueli, Ernesto
    Hiew, Chin
    Freeman, Melanie
    Taylor, Andrew J.
    Reid, Christopher M.
    Ajani, Andrew E.
    Kaye, David M.
    Mamas, Mamas A.
    Stub, Dion
    CIRCULATION-CARDIOVASCULAR INTERVENTIONS, 2024, 17 (04) : E013738