Skip to main content
Download PDF

Favorable factors for the survival of ST-segment elevation myocardial infarction patients with medium- and high-risk thrombolysis in myocardial infarction scores

BMC Cardiovascular Disorders volume 23, Article number: 614 (2023) Cite this article

Abstract

Objective

ST-segment myocardial infarction (STEMI) is a time-sensitive emergency. This study screened the favorable factors for the survival of STEMI patients with medium- and high-risk thrombolysis in myocardial infarction (TIMI) scores.

Methods

According to the TIMI scores at admission, 433 STEMI patients were retrospectively and consecutively selected and allocated into low-/medium-/high-risk groups, with their general information/blood routine/biochemical indicators/coagulation indicators documented. The factors influencing the in-hospital survival of STEMI patients were analyzed using univariate and multivariate logistic regression analyses. Moreover, the predictive value of favorable factors was analyzed by receiver operating characteristics (ROC) curve, and patients were assigned into high/low level groups based on the cut-off value of these factors, with their in-hospital survival rates compared.

Results

The in-hospital survival rate of the medium-/high-risk groups was lower than that of the low-risk group. Emergency percutaneous coronary intervention (PCI), lymphocyte (LYM), total protein (TP), albumin (ALB), and sodium (Na) were independent favorable factors for in-hospital survival in the medium-/high-risk groups. Besides, LYM > 1.275 × 109/L, TP > 60.25 g/L, ALB > 34.55 g/L, and Na > 137.9 mmo1/L had auxiliary predictive value for the survival of STEMI patients with medium-/high-risk TIMI scores. Patients with high levels of LYM, TP, ALB, and Na exhibited higher in-hospital survival rates than patients with low levels.

Conclusion

For STEMI patients with medium- and high-risk TIMI scores, accepting emergency PCI and normal levels of LYM, TP, ALB, and Na were more conducive to in-hospital survival.

Peer Review reports

Introduction

Coronary artery disease (CAD), mostly caused by atherosclerosis of arteries that supply blood to the heart and manifested by narrowing or blockage of narrowing or blockage of coronary arteries, remains one of the leading causes of death in the majority of developed countries [1, 2]. Currently, extensive studies have explored the related factors of CAD and its severity. As reported, several blood flow reserve ratios, such as the monocyte/high-density lipoprotein cholesterol ratio, neutrophil/lymphocyte ratio, platelet/lymphocyte ratio, and lymphocyte/monocyte ratio, have been identified as potential indicators for assessing the severity of CAD (DOI: https://doi.org/10.5152/EurJTher.2022.22037). In addition, the ORBIT risk score is an independent predictor of massive bleeding in patients with acute coronary syndrome [3]. Among CADs, acute myocardial infarction (AMI) is the most perilous and has emerged as a type of high-risk and thrombotic cardiovascular disease that posed a serious hazard to individuals' well-being. Myocardial infarction (MI), generally known as “heart attack”, resulted from reduced or complete cessation of blood flow to parts of the myocardium, thereby leading to damage to the heart muscle [4]. As a common type of MI, the incidence of ST-segment elevation myocardial infarction (STEMI) is 0.05 to 0.15% per year [5]. The pathophysiologic basis for STEMI is the occurrence of severe or complete blockage of the culprit coronary artery due to thrombus formation, which disrupts the intracoronary plaque [6]. A previous study reported that the in-hospital mortality rate of STEMI patients in China was roughly 7% to 9%, with the 1-year mortality rate reaching as high as 28% [7]. As a consequence of transmural ischemia of the myocardium, percutaneous coronary intervention (PCI) is recommended as the first-line therapy for STEMI [8]. Additionally, prompt identification of factors connected with improved survival outcomes in STEMI patients is essential for optimizing their care and guiding management decisions.

In the past 20 years, Several risk scoring models have been developed based on various risk factors, which can help clinicians stratify patients with risk factors and predict the mortality risk and/or the incidence of adverse events [9]. The Global Registry of Acute Coronary Events score, the Thrombolysis in Myocardial Infarction (TIMI) score, and the HEART score are the three most frequently used scoring models for CAD, among which the TIMI score can be utilized for differentiating STEMI patients at different risk levels [10, 11]. The TIMI score is a widely recognized and validated risk stratification tool for evaluating the severity and prognosis of patients with MI [12]. The TIMI score incorporates diverse clinical parameters and helps categorize patients into distinct risk groups, allowing healthcare providers to tailor treatment strategies accordingly. In this study, we aimed to screen the favorable factors for the survival of STEMI patients with medium- and high-risk TIMI scores and to lay a foundation for clinical management strategies formulated by medical practitioners in a clinical setting. For this objective, we analyzed the clinical baseline data as well as blood routine, blood biochemistry, and coagulation data.

Materials and methods

Ethics statement

All subjects were fully informed of the study objective and signed an informed consent form. This study complied with the Declaration of Helsinki and was approved by the Ethics Committee of Panzhihua Central Hospital.

Sample size estimation

The sample size estimation software G * Power 3.0.10, developed by the University of Dusseldorf (Germany), was used to estimate the sample size. The corresponding parameter settings were: Power = 0.95, α = 0.05, Effect size = 0.25, Number of groups = 3. ANOVA: Fixed effects, omnibus, one-way in F tests were selected, and the analysis showed a minimum total sample size of 252 cases (Supplementary Fig. 1).

Study subjects

A total of 777 STEMI patients admitted to Panzhihua Central Hospital from December 2018 to April 2022 were retrospectively and consecutively selected, of which 236 had incomplete clinical data, and 108 were excluded from this study as per the inclusion and exclusion criteria, and eventually 433 patients were enrolled as subjects. In line with the TIMI score at admission, the subjects were separated into the low-risk group (n = 195, 0–3 points), the medium-risk group (n = 165, 4–6 points), and the high-risk group (n = 73, 7–14 points).

Inclusion criteria were as follows: 1) adults over 18 years old; 2) conform to the diagnostic criteria for STEMI.

Exclusion criteria were as below: 1) incomplete clinical data; 2) a history of malignant tumors, recent chemotherapy, or organ transplantation; 3) recent severe bleeding, infection, liver and kidney failure; 4) autoimmune system diseases; 5) acute trauma history or acute blood loss; 6) elevated myocardial injury markers resulting from aortic dissection and patients who were transferred.

Diagnostic criteria

STEMI was diagnosed in accordance with the Guidelines for the Diagnosis and Treatment of Acute ST-segment Elevation Myocardial Infarction (2019) and the World Health Organization’s diagnostic criteria, based on the chest pain and related symptoms, the dynamic changes of ST-T in the electrocardiogram (ECG), and the dynamic alterations of serum myocardial injury markers of the patients. Specifically, patients met two of the following criteria: (1) chest pain lasting over 30 min; (2) ST segment elevation and continuous change observed in ECG; (3) obviously increased intraserum troponin and higher than the normal value and (or) no less than a 2-time level of CK and (or) CK-MB of the normal value.

TIMI scoring

In some large-scale clinical trials based on the TIMI risk score, age, systolic blood pressure (SBP), and heart rate are the factors that can independently play a predictive role and have the most dominant impact in terms of their ability to predict the poor clinical prognosis of STEMI patients [13]. The specific process of performing TIMI scoring for patients with STEMI was as follows: 1. different ages were corresponding to varying ratings, with the age groups under 65, 65–74, and over 75 years scoring 0, 2, and 3 points, respectively; 2. SBP not reaching 100 mmHg was recorded as 3 points; 3. the heart rate ≥ 100 beats/min, 2 points; 4. Killip rating II-IV, 2 points; 5. ST-segment elevation or left bundle branch block, 1 point; 6. diabetes, hypertension, or angina pectoris, 1 point; 7. body weight < 67 kg, 1 point; 8. treatment time from onset > 4 h, 1 point.

Observation indicators

The general data of the patients were recorded, including age, sex, height, blood pressure and heart rate at admission, time of onset, location of myocardial infarction, and whether emergency PCI was performed or not. The following collected indicators included: 1) first blood routine on admission [white blood cell (WBC) count, neutrophil (NEUT) count, lymphocyte (LYM) count, mononuclear cell (MNC) count, lymphocyte ratio (LYMR), mononuclear cell ratio (MNCR), eosinophil ratio (EOSR), basophil ratio (BASR), hemoglobin (Hb), erythrocyte count (ERY), hematocrit (HCT), mean corpuscular volume (MCV), mean hemoglobin (MHb), mean corpuscular hemoglobin concentration (MCHC), red blood cell distribution width-standard deviation (SD), red blood cell distribution width coefficient of variation (CV), platelet (PLT) count, mean platelet volume (MPV), platelet distribution width (PDW), large platelets ratio (LPR), platelet crit (PCT)]; 2) biochemical indicators [alanine aminotransferase (ALT), aspartate aminotransferase (AST), γ-glutamyl transpeptidase (GGT), serum creatinine (SCr), troponin I (TnI), total protein (TP), albumin (ALB), globulin (GLB), albumin/globulin ratio (A/G ratio), total cholesterol (TC), triglyceride (TG), high-density lipoprotein (HDL), low-density lipoprotein (LDL), blood urea nitrogen, blood potassium (K), blood sodium (Na), blood calcium (Ca), blood sugar]; 3) coagulation indicators [prothrombin time (PT), prothrombin activity (PtA)]. The in-hospital survival and death of all subjects were counted.

Statistical analysis

Statistical analysis and graphing were performed using SPSS 21.0 (IBM Corp. Armonk, NY, USA) and GraphPad Prism 8.01 (GraphPad Software, San Diego, CA, USA) software. The Shapiro–Wilk test was employed for the normal distribution, and the measurement data of the normal distribution were expressed as mean ± SD and tested by an independent sample t-test or one-way analysis of variance (ANOVA). Subsequent post hoc tests were conducted using Tukey’s multiple comparisons test. The non-normally distributed measurement data were represented by quartiles [median (minimum, maximum)] and tested by the Mann–Whitney U test or the Kruskal–Wallis H test. Categorical variables were presented using the number of cases or percentages and analyzed by the Chi-square test. The factors influencing the in-hospital survival of STEMI patients were analyzed by univariate and multivariate logistic regression analyses. The receiver operating characteristics (ROC) curve was used to analyze the predictive value of favorable factors for the in-hospital survival of STEMI patients with medium- and high-risk TIMI scores, with the area under the curve (AUC) calculated. AUC = 1 was the most ideal predictor, and AUC < 0.5 was regarded to be of no predictive value. Stastistical significance was defined as a value of P < 0.05.

Results

Comparisons of clinical data

We retrospectively selected 433 STEMI patients who attended Panzhihua Central Hospital from December 2018 to April 2022 as the study subjects. According to the TIMI score at admission, the subjects were distributed into the low-risk group (n = 195), the medium-risk group (n = 165), and the high-risk group (n = 73), with their clinical data collected and analyzed. The three groups had no statistical differences in terms of NEUT, MNC, LYMR, MNCR, EOSR, MHb, PLT, MPV, PDW, LPR, PCT, ALT, GGT, TnI, TP, HDL, K, Na, Ca, or blood sugar (all P > 0.05) (Supplementary Table 1). Relative to the low-risk group, the medium- and high-risk groups were noticeably different in age, sex, weight, diastolic blood pressure, time of onset, myocardial infarction site, Hb, ERY, HCT, MCHC, SD, ALB, A/G, TC, TG, LDL, blood urea nitrogen, PT, and PtA (all P < 0.05) (Table 1). In respect of emergency PCI, SBP, heart rate, WBC, LYM, BASR, MCV, CV, AST, SCr, and K, there were marked distinctions between the high-risk and low-risk groups (all P < 0.05), while no statistical differences were found between the medium-risk and low-risk groups (all P > 0.05) (Table 1).

Table 1 Comparisons of clinical data of three groups of STEMI patients
Full size table

Comparison of in-hospital survival rate

Further, we statistically analyzed the in-hospital survival rate in the low-, medium-, and high-risk groups and we discovered that the in-hospital survival rate was 97.95% in the low-risk group, 93.94% in the medium-risk group, and 82.19% in the high-risk group. Patients in the medium- and high-risk groups demonstrated obviously lower in-hospital survival rates than patients in the low-risk group (all P < 0.05) (Table 2).

Table 2 Comparison of in-hospital survival rate of STEMI patients
Full size table

Comparative analysis of clinical data between surviving and dead STEMI patients with medium- and high-risk TIMI scores

According to the occurrence of in-hospital death, the STEMI patients in the medium- and high-risk groups were subdivided into the survival group (n = 215) and the death group (n = 23), with their clinical data compared. As illustrated in Table 3, the two groups statistically varied in weight, emergency PCI, heart rate, NEUT, LYM, LYMR, Hb, HCT, MHb, MCHC, CV, ALT, GGT, SCr, TP, ALB, TC, blood urea nitrogen, Na, blood glucose, and PT (all P < 0.05), while exhibiting no salient distinctions in other clinical data (all P > 0.05) (Supplementary Table 2).

Table 3 Comparative analysis of clinical data between surviving and dead STEMI patients with medium- and high-risk TIMI scores
Full size table

Logistic regression analysis of favorable factors for in-hospital survival in STEMI patients with medium- and high-risk TIMI scores

According to the analysis results in Table 3, clinical data (body weight, emergency PCI, heart rate, NEUT, LYM, LYMR, Hb, HCT, MHb, MCHC, CV, ALT, GGT, SCr, TP, ALB, TC, LDL, blood urea nitrogen, Na, blood glucose, and PT) with notable differences between patients in the surviving and death groups were included in the univariate logistic regression analysis. The analysis revealed that body weight, heart rate, NEUT, CV, SCr, blood urea nitrogen, and blood glucose were risk factors for in-hospital survival in the medium- and high-risk groups; emergency PCI, LYM, LYMR, Hb, HCT, MHb, MCHC, TP, ALB, TC, LDL, and Na were favorable factors for in-hospital survival in the medium- and high-risk groups (all P < 0.05). As reflected by the results of the univariate regression analysis, favorable factors with P < 0.05 for in-hospital survival of STEMI patients with medium- and high-risk TIMI scores were enrolled in the multivariate logistic regression analysis as independent variables. Beyond that, we found that emergency PCI, LYM, TP, ALB, and Na were independent favorable factors for in-hospital survival in STEMI patients with medium- and high-risk TIMI scores (all P < 0.05) (Table 4).

Table 4 Logistic regression analysis of favorable factors for in-hospital survival in STEMI patients with medium- and high-risk TIMI scores
Full size table

ROC curve analysis of favorable factors for in-hospital survival in STEMI patients with medium- and high-risk TIMI scores

In the quest to further explore the predictive value of LYM, TP, ALB, and Na on the in-hospital survival of STEMI patients with medium- and high-risk TIMI scores, we used LYM, TP, ALB, and Na as independent variables and in-hospital survival as the dependent variable to plot ROC curves. LYM (AUC = 0.7424, P = 0.0001, sensitivity 65.12%, specificity 73.91%, cut-off value 1.275), TP (AUC = 0.6250, P = 0.0489, sensitivity 78.60%, specificity 47.83%, cut-off value 60.25), ALB (AUC = 0.6405, P = 0.0268, sensitivity 89.30%, specificity 47.83%, cut-off value 34.55), and Na (AUC = 0.6378, P = 0.0299, sensitivity 71.16%, specificity 60.87%, cut-off value 137.9) had certain auxiliary predictive value for the in-hospital survival of STEMI patients with medium- and high-risk TIMI scores (Fig. 1A-D).

Fig. 1
figure 1

ROC curve analysis of favorable factors for in-hospital survival in STEMI patients with medium- and high-risk TIMI scores

Full size image

Cut-off value analysis

In the light of the ROC analysis, the cut-off value was 1.275 for LYM, 60.25 for TP, 34.55 for ALB, and 137.9 for Na. We further classified STEMI patients with medium- and high-risk TIMI scores into the high-level group (LYM, TP, ALB, Na) and the low-level group (LYM, TP, ALB, Na), and statistically analyzed their in-hospital survival rates. The results elicited that the in-hospital survival rate of the high-level group was apparently higher than that of the low-level group (P < 0.05) (Table 5).

Table 5 Cut-off value analysis
Full size table

Discussion

STEMI remains the leading cause of mortality around the world, but mortality has reduced owing to various preventive measures and the development of early diagnosis and treatment [14, 15]. Pathologically, STEMI is underpinned by the formation of thromboses, which disrupts the intracoronary plaque and leads to near-total or total occlusion of the culprit coronary artery [6]. The TIMI score is frequently employed for the assessment of thrombus burden, serving as a crucial clinical instrument in the evaluation and treatment of patients with MI [12]. In this study, we assigned the subjects into low-risk, medium-risk, and high-risk groups according to their TIMI scores at admission, analyzed and compared the in-hospital survival rate of each group, and found that emergency PCI and LYM, TP, ALB, and Na at a normal level were more conducive to the in-hospital survival of patients, which were independent favorable factors for the in-hospital survival of high-risk STEMI patients with TIMI scores.

The TIMI score is widely utilized for distinguishing STEMI patients of different risk levels [10, 11]. Our findings revealed prominent discrepancies in the in-hospital survival rates between the low-risk group and the medium- and high-risk groups. In particular, patients in the medium and high-risk groups exhibited an apparently lower survival rate than patients in the low-risk group. This discrepancy underscores the importance of risk stratification using the TIMI score, as it allows for early identification of higher-risk patients and the implementation of appropriate interventions to enhance their outcomes [16,17,18]. Also, another study has demonstrated that the combination of SYNTAX score II (SS-II) and TIMI can more accurately predict individual in-hospital and long-term mortality in STEMI patients [18]. What’s more, Anggoro Budi Hartopo et al. have reported that a high TIMI risk score is related to a higher mean endothelin-1 level and endothelin-1: endothelin-3 ratio, which provides a prognostic value of 1-year mortality in STEMI patients [17]. In spite of its usefulness, it is worth noting that the TIMI score is not the sole determinant of treatment decisions. However, each patient’s condition is unique, and the development of treatment for different patients requires a full understanding of the patient’s medical history, symptoms, signs and other information, adherence to the principle of comprehensiveness, combination of relevant examination results and laboratory data, and comprehensive consideration of a number of factors. Furthermore, for proper understanding, the score needs to be placed in the context of applicable clinical guidelines and healthcare facility resources. Therefore, on this basis, we further explored the favorable factors for in-hospital survival in patients of medium- and high-risk STEMI, and discovered that emergency PCI, LYM, TP, ALB, and Na levels emerged as independent favorable factors for the in-hospital survival of patients in the medium and high-risk groups. Those findings have important clinical implications. TIMI scores combined with various clinical parameters could help health care professionals divide patients into different risk groups, adjust treatment strategies accordingly, and diminish the in-hospital mortality of STEMI patients. In a cohort study conducted in Turkey, TIMI bleeding scores along with Determining a patient’s Predicting Bleeding Complication in Patients Undergoing Stent Implantation and Subsequent Dual Antiplatelet Therapy (PRECISE-DAPT) scores were used to conduct bleeding classification and evaluate bleeding risk in patients with acute coronary syndrome or those undergoing PCI [19]. Consistent with our finding, emergency PCI, a procedure used to restore blood flow to the blocked coronary arteries, has been identified as a significant favorable factor in patients with STEMI [20]. Beyond that, the optimal administration of antithrombotic therapy in patients diagnosed with STEMI is of utmost significance. Evidence suggests that monotherapy with an oral P2Y12 inhibitor after short DAPT regimens is related to myocardial infarction, all-cause mortality, and stroke risks in patients receiving complex PCI [21]. Nevertheless, since the intricate nature of coronary artery anatomy and the specific clinical circumstances of patients, there is a possibility of encountering adverse events following PCI, including inadequate revascularization [22] and hemorrhagic events [23]. It is also noteworthy that timely reperfusion therapy plays a crucial role in mitigating myocardial damage and raising survival in STEMI patients, especially for those at higher risk [24]. LYM, TP, ALB, and Na levels were observed to independently influence the survival rates and possessed certain auxiliary predictive value for the in-hospital survival of STEMI patients with medium- and high-risk TIMI scores. Except for this, their in-hospital survival and those parameters reflected the patient’s immune status and electrolyte balance, underlining the importance of addressing immune function, nutritional support, and electrolyte imbalances in the matter of treating medium- and high-risk STEMI patients. Moreover, medium- to high-risk TIMI-socred patients with high levels of LYM, TP, ALB, and Na exhibited an evidently higher in-hospital survival rate. Consistently, previous evidence emphasized the important role of immune function in the progression of MI with regard to reducing the inflammatory response [25]. The study conducted by Ji Z et al. showed that neutrophil-to-lymphocyte ratio (NLR) had a certain predictive ability for in-hospital death in STEMI patients [26]. NLR and platelet-to-lymphocyte ratio (PLR) in peripheral blood are directly associated with the occurrence of significant adverse events in hospitalization following STEMI [27]. NLR serves as a prognostic indicator for both hospitalization rates and long-term outcomes in patients with STEMI following PCI, but large randomized clinical trials are required to further confirm this [28]. Furthermore, there is a negative correlation observed between serum albumin (ALB)-to-creatinine ratio (sACR) and in-hospital mortality following PCI in patients diagnosed with STEMI, and higher level of ALB favors post-PCI in-hospital survival in patients with STEMI [29]. Patients with STEMI who have low serum ALB level are more likely to experience serious complications while hospitalized, suggesting that this factor contributes to the prothrombotic phenotype of patients [30]. Moreover, among patients with STEMI treated with PCI, those with lower serum sodium level on admission have a higher risk of poorer in-hospital clinical prognosis, and patients with hyponatremia have a higher mortality rate during long-term follow-up [31]. However, there are certain limitations in terms of sample size, statistical analysis methods, and inclusion indicators. In this study, we included a relatively larger sample size (433 STEMI patients) and used a variety of statistical analysis methods, such as single-factor difference analysis, single-factor and multi-factor logistic regression analysis, and ROC curve analysis. Based on the TIMI score, dozens of specific case indicators in terms of clinical general data, blood routine, biochemical indicators, and coagulation indicators were used to conduct a more in-depth and comprehensive analysis of the favorable factors for in-hospital survival of STEMI patients of medium and high risk. It was found that emergency PCI, LYM, TP, ALB, and Na were independent favorable factors for in-hospital survival in high-risk STEMI patients in TIMI scores. The results were more convincing and provided valuable theoretical references for clinical risk assessment and treatment strategy formulation.

Although our study found some clinically meaningful results, it is important to acknowledge certain limitations of our study. Firstly, the retrospective nature of the study design might bring inherent biases and impede the establishment of causal relationships between indicators and adverse outcomes. Secondly, the study was carried out at a single center, perhaps influencing the generalizability of the findings to alternative healthcare settings. Additionally, other potential factors that could potentially impact survival outcomes, such as comorbidities and specific treatment regimens, were not thoroughly examined in this study and probably need further investigation in future studies.

In conclusion, our study highlighted the conspicuous differences in in-hospital survival rates among STEMI patients with varying TIMI risk scores. The identification of emergency PCI and normal levels of LYM, TP, ALB, and Na as independent favorable factors for survival highlights their crucial role in improving outcomes for medium- and high-risk patients. These findings provide valuable insights for risk assessment and treatment strategies, help healthcare professionals identify patients at higher risk of poor outcomes, and guide the selection of appropriate treatment strategies, ultimately enhancing patient outcomes and lowering morbidity and mortality associated with this life-threatening condition.

Availability of data and materials

All data generated or analysed during this study are included in this article. Further enquiries can be directed to the corresponding author.

References

  1. Lv D, Guo Y, Zhang L, Li X, Li G. Circulating miR-183-5p levels are positively associated with the presence and severity of coronary artery disease. Front Cardiovasc Med. 2023;10:1196348.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Shao C, Wang J, Tian J, Tang YD. Coronary artery disease: from mechanism to clinical practice. Adv Exp Med Biol. 2020;1177:1–36.

    Article  CAS  PubMed  Google Scholar 

  3. Gunlu S, Arpa A, Kayan F, Guzel T, Kilic R, Aktan A, et al. The prognostic value of ORBIT risk score in predicting major bleeding in patients with acute coronary syndrome. Thromb Res. 2023;229:258–62.

    Article  CAS  PubMed  Google Scholar 

  4. Fuentes E, Moore-Carrasco R, de Andrade Paes AM, Trostchansky A. Role of platelet activation and oxidative stress in the evolution of myocardial infarction. J Cardiovasc Pharmacol Ther. 2019;24(6):509–20.

    Article  CAS  PubMed  Google Scholar 

  5. Yildiz I, Rencuzogullari I, Karabag Y, Karakayali M, Artac I, Gurevin MS. Predictors of left ventricular ejection function decline in young patients with ST-segment elevation myocardial infarction. Rev Assoc Med Bras (1992). 2022;68(6):802–7.

    Article  PubMed  Google Scholar 

  6. Frampton J, Devries JT, Welch TD, Gersh BJ. Modern management of ST-segment elevation myocardial infarction. Curr Probl Cardiol. 2020;45(3):100393.

    Article  PubMed  Google Scholar 

  7. Li J, Li X, Wang Q, Hu S, Wang Y, Masoudi FA, et al. ST-segment elevation myocardial infarction in China from 2001 to 2011 (the China PEACE-Retrospective Acute Myocardial Infarction Study): a retrospective analysis of hospital data. Lancet. 2015;385(9966):441–51.

    Article  PubMed  Google Scholar 

  8. Khedr A, Hennawi HA, Khan MK, Elbanna M, Jama AB, Proskuriakova E, et al. Effect of fibrinolytic therapy on ST-elevation myocardial infarction clinical outcomes during the COVID-19 pandemic: a systematic review and meta-analysis. World J Cardiol. 2023;15(6):309–23.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Castro-Dominguez Y, Dharmarajan K, McNamara RL. Predicting death after acute myocardial infarction. Trends Cardiovasc Med. 2018;28(2):102–9.

    Article  PubMed  Google Scholar 

  10. Kao YT, Hsieh YC, Hsu CY, Huang CY, Hsieh MH, Lin YK, et al. Comparison of the TIMI, GRACE, PAMI and CADILLAC risk scores for prediction of long-term cardiovascular outcomes in Taiwanese diabetic patients with ST-segment elevation myocardial infarction: from the registry of the Taiwan Society of Cardiology. PLoS One. 2020;15(2):e0229186.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Yang B, Bai L, Zhang Y, Cheng Y, Zhao C, Huang B, et al. The value of different short-term risk scoring models in predicting long-term death of acute myocardial infarction. J Clin Med. 2022;11(17):5054.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Mok Y, Ballew SH, Bash LD, Bhatt DL, Boden WE, Bonaca MP, et al. International Validation of the Thrombolysis in Myocardial Infarction (TIMI) risk score for secondary prevention in post-mi patients: a collaborative analysis of the chronic kidney disease prognosis consortium and the risk validation scientific committee. J Am Heart Assoc. 2018;7(14):e008426.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Antman EM, Cohen M, Bernink PJ, McCabe CH, Horacek T, Papuchis G, et al. The TIMI risk score for unstable angina/non-ST elevation MI: a method for prognostication and therapeutic decision making. JAMA. 2000;284(7):835–42.

    Article  CAS  PubMed  Google Scholar 

  14. Ozturk D, Melekoglu A, Altinbilek E, Calik M, Kosem A, Kilci H, et al. association between serum irisin levels and ST-segment elevation myocardial infarction. Int J Gen Med. 2023;16:1355–62.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Zhang M, Li J, Hua C, Niu J, Liu P, Zhong G. Exploring an immune cells-related molecule in STEMI by bioinformatics analysis. BMC Med Genomics. 2023;16(1):151.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Grinberg T, Bental T, Hammer Y, Assali A, Vaknin-Assa H, Wiessman M, et al. Management and outcome across the spectrum of high-risk patients with myocardial infarction according to the thrmobolysis in myocardial infarction (TIMI) risk-score for secondary prevention. Clin Cardiol. 2021;44(11):1535–42.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Hartopo AB, Puspitawati I, Mumpuni H. The ratio of circulating endothelin-1 to endothelin-3 associated with TIMI risk and dynamic TIMI risk score in ST elevation acute myocardial infarction. Can J Physiol Pharmacol. 2020;98(9):637–43.

    Article  CAS  PubMed  Google Scholar 

  18. Karabag Y, Cagdas M, Rencuzogullari I, Karakoyun S, Artac I, Ilis D, et al. Comparison of SYNTAX score II efficacy with SYNTAX score and TIMI risk score for predicting in-hospital and long-term mortality in patients with ST segment elevation myocardial infarction. Int J Cardiovasc Imaging. 2018;34(8):1165–75.

    Article  PubMed  Google Scholar 

  19. Avci E, Kiris T, Akgun DE, Celik A, Akcay FA, Acar B, et al. Bleeding risk in patients with acute coronary syndrome in a Turkish population: results from the Turkish Acute Coronary Syndrome Registry (TACSER) study. Eur J Clin Invest. 2020;50(11):e13271.

    Article  CAS  PubMed  Google Scholar 

  20. Chacon-Diaz M, Custodio-Sanchez P, Rojas De La Cuba P, Yabar-Galindo G, Rodriguez-Olivares R, Miranda-Noe D, et al. Outcomes in ST-segment elevation myocardial infarction treated with primary percutaneous coronary intervention or pharmacoinvasive strategy in a Latin American country. BMC Cardiovasc Disord. 2022;22(1):296.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Gragnano F, Mehran R, Branca M, Franzone A, Baber U, Jang Y, et al. P2Y(12) Inhibitor monotherapy or dual antiplatelet therapy after complex percutaneous coronary interventions. J Am Coll Cardiol. 2023;81(6):537–52.

    Article  CAS  PubMed  Google Scholar 

  22. Altunova M, Karakayali M, Kahraman S, Avci Y, Demirci G, Sevinc S, et al. Systemic Immune-inflammatory index is associated with residual SYNTAX score in patients with st-segment elevation myocardial infarction. Anatol J Cardiol. 2023;27(8):472–8.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Tanik VO, Cinar T, Arugaslan E, Karabag Y, Hayiroglu MI, Cagdas M, et al. The Predictive Value of PRECISE-DAPT Score for In-Hospital Mortality in Patients With ST-Elevation Myocardial Infarction Undergoing Primary Percutaneous Coronary Intervention. Angiology. 2019;70(5):440–7.

    Article  PubMed  Google Scholar 

  24. Ottani F, Limbruno U, Latini R, Misuraca L, Galvani M. Reperfusion in STEMI patients: still a role for cardioprotection? Minerva Cardioangiol. 2018;66(4):452–63.

    PubMed  Google Scholar 

  25. Anzai A, Ko S, Fukuda K. Immune and inflammatory networks in myocardial infarction: current research and its potential implications for the clinic. Int J Mol Sci. 2022;23(9):5214.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  26. Ji Z, Liu G, Guo J, Zhang R, Su Y, Carvalho A, et al. The neutrophil-to-lymphocyte ratio is an important indicator predicting in-hospital death in ami patients. Front Cardiovasc Med. 2021;8:706852.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Pashapour P, Ghaffarii S, Separham A. The relationship of Neutrophil-to-Lymphocyte Ratio and Platelet-to-Lymphocyte Ratio in peripheral blood with ST-segment resolution and the clinical outcomes of STEMI patients receiving thrombolytic therapy. Rom J Intern Med. 2019;57(1):47–54.

    PubMed  Google Scholar 

  28. Zhang S, Diao J, Qi C, Jin J, Li L, Gao X, et al. Predictive value of neutrophil to lymphocyte ratio in patients with acute ST segment elevation myocardial infarction after percutaneous coronary intervention: a meta-analysis. BMC Cardiovasc Disord. 2018;18(1):75.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Turkyilmaz E, Ozkalayci F, Birdal O, Karagoz A, Tanboga IH, Tanalp AC, et al. Serum albumin to creatinine ratio and short-term clinical outcomes in patients with ST-elevation myocardial infarction. Angiology. 2022;73(9):809–17.

    Article  CAS  PubMed  Google Scholar 

  30. Biccire FG, Pastori D, Tanzilli A, Pignatelli P, Viceconte N, Barilla F, et al. Low serum albumin levels and in-hospital outcomes in patients with ST segment elevation myocardial infarction. Nutr Metab Cardiovasc Dis. 2021;31(10):2904–11.

    Article  CAS  PubMed  Google Scholar 

  31. Havranek S, Belohlavek J, Skulec R, Kovarnik T, Dytrych V, Linhart A. Long-term prognostic impact of hyponatremia in the ST-elevation myocardial infarction. Scand J Clin Lab Invest. 2011;71(1):38–44.

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

Not applicable.

Funding

No funding was used in this study.

Author information

Author notes

  1. Zhengli Luo and Yuan Feng contributed equally to this work.

Authors and Affiliations

  1. Emergency Department, Panzhihua Central Hospital, No. 34 Yikang Street, Middle Section of Panzhihua Avenue, Panzhihua, 617000, China

    Zhengli Luo, Yuan Feng, Dan Luo, Kaiyi Xiao & Qiang Hu

  2. Division of Cardiology, Panzhihua Central Hospital, Panzhihua, China

    Shiyang Li

  3. Information Center, Panzhihua Central Hospital, Panzhihua, China

    Hongmei Shen

Authors
  1. Zhengli Luo
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yuan Feng
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Dan Luo
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Shiyang Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Kaiyi Xiao
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Hongmei Shen
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Qiang Hu
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

Zhengli Luo and Yuan Feng contributed to the study concepts, study design; Dan Luo and Shiyang Li contributed to the literature research; Kaiyi Xiao, Hongmei Shen and Qiang Hu contributed to the experimental studies and data acquisition; Dan Luo and Qiang Hu contributed to the data analysis and statistical analysis; Zhengli Luo and Yuan Feng contributed to the manuscript preparation and Shiyang Li contributed to the manuscript editing and review; All authors read and approved the final manuscript.

Corresponding author

Correspondence to Qiang Hu.

Ethics declarations

Ethics approval and consent to participate

All subjects were fully informed of the study objective and signed an informed consent form. This study complied with the Declaration of Helsinki and was approved by the Ethics Committee of Panzhihua Central Hospital.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1:

 Supplementary Figure 1. Sample size estimation.

Additional file 2:

 Supplementary Table 1. Comparisons of clinical data of three groups of STEMI patients. Supplementary Table 2. Comparative analysis of clinical data between surviving and dead STEMI patients with medium- and high-risk TIMI scores.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Luo, Z., Feng, Y., Luo, D. et al. Favorable factors for the survival of ST-segment elevation myocardial infarction patients with medium- and high-risk thrombolysis in myocardial infarction scores. BMC Cardiovasc Disord 23, 614 (2023). https://doi.org/10.1186/s12872-023-03628-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12872-023-03628-7

Keywords

BMC Cardiovascular Disorders

ISSN: 1471-2261

Contact us