Predictive factors of cardiac rupture in patients with ST-elevation myocardial infarction

Predictive factors of cardiac rupture in patients with ST-elevation myocardial infarction 急性ST段抬高型心肌梗死继发心脏破裂的预测因素分析 1 first-author †E-mail:qiangeng9396@263.netcyundai@126.com †E-mail:qiangeng9396@263.netcyundai@126.com qiangeng9396@263.net 1 1 corresp ‡Corresponding Author ‡Corresponding Author †E-mail:qiangeng9396@263.netcyundai@126.com †E-mail:qiangeng9396@263.netcyundai@126.com qiangeng9396@263.net 2 2 3 Department of Cardiology, Chinese PLA General Hospital, Beijing 100853, China Department of Cardiology, Chinese PLA General Hospital, Beijing 100853, China Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China Department of Cardiology, Lujiang People’s Hospital, Anhui 231500, China Department of Cardiology, Lujiang People’s Hospital, Anhui 231500, China Cardiac rupture (CR) is a potentially fatal mechanical complication of ST-elevation myocardial infarction (STEMI). We aimed to determine the incidence and risk factors of CR in Chinese STEMI patients. A total of 9798 consecutive STEMI patients from four centers in China were retrospectively analyzed, among which 178 patients had CR. STEMI patients without CR were chosen as a control group. Clinical characteristics were compared between STEMI patients with CR and those without CR. The incidence of CR in STEMI patients was 1.82%, and the 30-d mortality was up to 61.2%. CR patients were significantly older, more female, and associated with a longer time from onset of pain to hospital admission than their non-CR counterparts ( P < 0.001). More patients with anterior myocardial infarction (82.1%) were found in the CR group, and CR patients had significantly higher heart rates than the control group ((91±19) bpm vs. (71±16) bpm; P < 0.001). In multiple-adjusted models, the independent risk factors of CR were advanced age, female gender, anaemia, increased heart rate, anterior myocardial infarction, increased white blood cell (WBC) count, delayed admission, and renal dysfunction. The level of hemoglobin remained a significant determinant factor of CR (OR (95% CI): 0.82 (0.75–0.89); P < 0.001) after adjusting for various potential confounding factors. Counts of WBC also remained a significant determinant of the CR (OR (95% CI): 1.08 (1.04–1.12); P < 0.001). A number of variables were independently related to CR. This study indicated, for the first time, that both hemoglobin and WBC levels were independently correlated with occurrence of CR. 研究目的 2 心脏破裂是急性ST段抬高型心肌梗死最严重的并发症之一，病情凶险，死亡率高。通过明确心肌梗死后出现心脏破裂并发症的危险因素，早期识别心脏破裂高危人群，有利于在急性心肌梗死的早期采取干预措施以减少心脏破裂的发生。 创新要点 2 既往缺乏对中国ST段抬高型心肌梗死继发心脏破裂的系统风险评估，本研究采用回顾性队列研究的方法，完善并健全中国多中心的急性心肌梗死数据库，样本总量达到9798例，为国内同类研究中样本量最多。既往的国外文献报道：女性、高龄、心梗后就诊时间延迟、前壁心肌梗死、溶栓治疗等是心肌梗死后心脏破裂的独立危险因素。本研究在中国人群验证以上危险因素的基础上首次提出就诊时血色素下降及白细胞计数的升高与随后发生的心脏破裂密切相关。新的心脏破裂预测因素的发现有利于对心脏破裂更精细化的危险分层，早期识别心脏破裂高危人群。 研究方法 2 建立中国多中心心肌梗死数据库，比较发生心脏破裂与未发生心脏破裂患者临床特点的差异，筛选敏感特异的心脏破裂的独立预测因素。 重要结论 2 中国人群急性ST段抬高型心肌梗死后心脏破裂的发生率是1.82%，独立预测因素主要包括：高龄、女性、就诊时静息心率增快、前壁心肌梗死、心功能不全、就诊时间延迟、肾功能不全、贫血与白细胞计数升高。本文第一次提出就诊时贫血状态及白细胞计数的升高时与心脏破裂的发生直接相关。 ST-elevation myocardial infarction Risk factor Anaemia Cardiac rupture ST段抬高型心肌梗死 危险因素 贫血 心脏破裂 Introduction 1 Cardiac rupture (CR) after ST-elevation myocardial infarction (STEMI) includes free-wall rupture (FWR), ventricular septal rupture (VSR), and papillary muscle rupture (PMR). Along with the development of primary percutaneous coronary intervention (PCI) and drug therapy, the incidence of CR has gradually declined (Figueras et al., 2008 2008 ). However, there are still a number of deaths caused by CR that could not been determined until autopsy. CR is still one of the common causes of in-hospital deaths for STEMI patients (Markowicz-Pawlus et al., 2007 2007 ; Figueras et al., 2008 2008 ). The determination of CR risk factors plays an important role in the prevention of CR. Independent risk factors reported include female gender, advanced age, lower blood pressure, higher heart rate, delayed admission, and thrombolysis (Yip et al., 2003 2003 ; Okino et al., 2005 2005 ; French et al., 2010 2010 ; Lopez-Sendon et al., 2010 2010 ; Qian et al., 2011 2011 ). Patients with CR have new clinical characteristics in the era of reperfusion. Up to now there has been a lack of systemic research on the assessment of CR risk factors in Chinese STEMI patients from multiple centers. The objective of our study was to determine the incidence and risk factors of CR in Chinese STEMI patients. Subjects and methods 1 Study population 2 We retrospectively analyzed a total of 9798 consecutive STEMI patients who were admitted from January 2011 to January 2013 from four centers (Chinese PLA General Hospital, Beijing Anzhen Hospital, Beijing Fuwai Hospital, and Beijing Chao-Yang Hospital). One hundred and seventy-eight of these patients with CR served as a case group, and the others without CR were chosen as a control group. Diagnosis of STEMI was based on the concurrence of symptoms (chest pain or symptoms compatible with acute heart failure or unexplained syncope) and electrocardiogram findings (ST-segment elevation ≥1 mm in ≥2 inferior leads or ≥2 mm in ≥2 precordial leads). The diagnosis of FWR was based on strict necropsy or electrical mechanical dissociation or pericardial tamponade accompanied with laboratory results (echocardiography showed massive pericardial effusion and diagnostic pericardiocentesis showed bloody fluid). VSR and PMR were established by the emergence of new systolic murmurs and the result of echocardiography. STEMI patients received aspirin, clopidogrel, statin, low molecular weight heparin (LMWH), β-blockers, and angiotensin converting enzyme inhibitors (ACEIs) or angiotensin receptor blockers (ARBs) according to the STEMI guideline (Kushner et al., 2009 2009 ), unless there were contraindications to these drugs. We provided a comparative analysis between CR patients and non-CR patients by clinical manifestations, laboratory profiles, and the treatments during their stay in hospital. Peripheral blood samples were collected from patients within 12 h of admission for blood routines and biochemistry examinations. Statistical analysis 2 Variables following a normal distribution were expressed as mean±standard deviation (SD). Variables following a non-normal distribution were expressed as median (interquartile range). The means of normally distributed variables were compared by using Student’s t -test. For comparisons of the distributions of variables between groups, χ 2 analysis was used. The Mann-Whitney U test was used for those with non-normal distribution. Independent CR risk factors were calculated using multivariable logistic regression models (stepwise regression hazards analysis). Statistical analyses were performed using SPSS software (Version 19.0, SPSS Inc., USA). Statistical significance was set at P < 0.05. Results 1 Incidence of CR 2 In the 9798 consecutive patients with STEMI, 178 patients (1.82%) developed CR. Of these CR patients, FWR occurred in 118 patients (1.20%), VSR occurred in 49 patients (0.50%), and PMR occurred in 11 patients (0.11%). The incidence of CR varied across the four hospital clusters: 2.20% (54/2450) for Chinese PLA General Hospital vs. 1.68% (43/2560) for Beijing Anzhen Hospital vs. 1.90% (60/3150) for Beijing Fuwai Hospital vs. 1.44% (21/1460) for Beijing Chao-Yang Hospital. Despite the improvements in CR treatments such as repair operation and perventricular device closure, the 30-d mortality of CR was still up to 61.2% (109/178) compared with 5.9% (567/9620) in those without CR ( P < 0.001). And CR accounted for 16.1% (109/676) of all cause in-hospital deaths post-STEMI. In-hospital mortality was higher in patients with FWR (92/118, 78.0%) than in those with VSR or PMR (17/60, 28.3%). The presence of cardiac tamponade combined with hemodynamic instability was the common finding of FWR (68/118, 57.6%), while sudden unexpected cardiogenic shock or heart failure was the common finding of VSR or PMR (49/60, 81.7%). Clinical characteristics and treatments before CR 2 Demographics, medical histories, clinical features, and treatments in patients with and without CR are shown in Table 1 1 . The female proportion and advanced age proportion in the CR group were significantly higher than those in the control group ( P < 0.001). The occurrence of hypertension was more frequent in CR patients ( P < 0.001), whereas smoking occurred less frequently in CR patients ( P =0.037). More patients with anterior myocardial infarction (82.1%) were found in the CR group. There were also significant trends toward higher heart rate and lower blood pressure in the CR group ( P < 0.001). The initial hemoglobin levels of the CR group were significantly lower than those of the control group ((12.1±1.8) g/dl vs. (13.4±2.0) g/dl; P < 0.001), while the white blood cell (WBC) counts were significantly higher in the CR group ((11.5±4.2)×10 9 L −1 vs. (9.6±3.7)×10 9 L −1 ; P < 0.001). The CR patients tended to have longer time from onset of pain to first medical contact (12 (6–22) h vs. 10 (4–16) h; P < 0.001). Both left ventricular ejection fraction and Killip class indicated that the CR group had worse heart function. Recommended medications within the first 24 h including ACEI/ARB and β-blockers were used less frequently in CR patients ( P < 0.001). Furthermore, primary PCI treatment was used more frequently in the non-CR group ( P < 0.001). Data are expressed as number of patients (percentage), median (range), or mean±SD. BMI: body mass index; SBP: systolic blood pressure; DBP: diastolic blood pressure; LDL-C: low density lipoprotein cholesterol; eGFR: estimated glomerular filtration rate; ACEI/ARB: angiotensin converting enzyme inhibitor or angiotensin receptor blocker Clinical characteristics and treatment CR group ( n =178) Control group ( n =9620) P Demographic characteristics  Male 98 (55.1%) 7763 (80.7%) <0.001  Age (year) 67±10 61±13 <0.001  BMI (kg/m 2 ) 24.2±3.3 25.0±4.0 0.252  Hypertension 108 (60.7%) 5069 (52.7%) 0.037  Diabetes mellitus 48 (27.0%) 2309 (24.0%) 0.866  Hypercholesterolemia 40 (22.5%) 1673 (17.4%) 0.079  Current smoking 59 (33.1%) 5099 (53.0%) <0.001 Clinical presentation in the first 24 h  Anterior myocardial infarction 146 (82.1%) 5262 (54.7%) <0.001  SBP (mmHg) 111±21 122±23 <0.001  DBP (mmHg) 70±13 73±14 0.014  Pulse (bpm) 91±19 77±16 <0.001  Killip class III or IV 75 (42.1%) 2097 (21.8%) <0.001  Initial white blood cell (×10 9 L −1 ) 11.5±4.2 9.6±3.7 <0.001  Initial hemoglobin (g/dl) 12.1±1.8 13.4±2.0 <0.001  Time from onset to admission (h) 12 (6–22) 10 (4–16) <0.001  Initial random glucose (mmol/L) 9.9±5.1 9.2±3.6 0.131  Initial LDL-C (mmol/L) 2.73±0.83 2.81±1.07 0.424  eGFR (ml/min) 61.6±24.8 79.6±23.5 <0.001  Left ventricular ejection fraction (%) 47±11 52±11 <0.001  Left ventricular end diastolic diameter (mm) 53±9 49±6 <0.001  In-hospital mortality 109 (61.2%) 567 (5.9%) <0.001 Treatments in the first 24 h  Aspirin+thienopyridine 162 (91.0%) 9004 (93.6%) 0.173  β-Blocker 121 (68.0%) 7436 (77.3%) <0.001  ACEI/ARB 74 (41.4%) 4598 (47.8%) 0.009  Statin 164 (92.1%) 9120 (94.8%) 0.119  Primary percutaneous intervention 54 (30.3%) 6705 (69.7%) <0.001  Thrombolysis 31 (17.4%) 1279 (13.3%) 0.116 Risk factors for post-infarct CR 2 Multivariable logistic regression analysis included clinical characteristics on admission (age, gender, heart rate, smoking habit, blood pressure, myocardial infarction location, Killip class, hemoglobin level, count of WBC, time to admission, and eGFR; 9798 patients with complete data). The independent predictors of CR were as below: female gender (odds ratio (OR) 2.63, 95% confidence interval (CI) 1.77–3.92), age per 10-year increase (OR 1.30, 95% CI 1.10–1.53), heart rate per 10-beat per minute (bpm) increase (OR 1.42, 95% CI 1.29–1.56), systolic blood pressure (SBP) per 10-mmHg decrease (OR 1.27, 95% CI 1.18–1.40), anterior myocardial infarction (OR 3.23, 95% CI 2.07–5.04), hemoglobin level ≥12 g/dl (OR 0.49, 95% CI 0.32–0.73), count of WBC (OR 1.09, 95% CI 1.05–1.14), time to admission (OR 1.01, 95% CI 1.00–1.12), and eGFR ≤60 ml/min (OR 1.98, 95% CI 1.32–2.97). These are shown in Table 2 2 . HR: heart rate; SBP: systolic blood pressure; WBC: white blood cell; eGFR: estimated glomerular filtration rate 2 Variables 3 Univariate analysis 4 Multivariate analysis OR 95% CI P value OR 95% CI P value  Age per extra 10 years 1.44 1.26–1.63 <0.001 1.30 1.10–1.53 <0.001  Female gender 3.42 2.52–4.63 <0.001 2.63 1.77–3.92 <0.001  Current smoking 0.44 0.32–0.60 <0.001 0.76 0.52–1.10 0.143  HR per extra 10 bpm 1.53 1.42–1.65 <0.001 1.42 1.29–1.56 <0.001  SBP per extra 10 mmHg 0.79 0.74–0.85 <0.001 0.78 0.71–0.85 <0.001  Anterior myocardial infarction 3.80 2.56–5.63 <0.001 3.23 2.07–5.04 <0.001  Killip class III or IV 2.62 1.93–3.55 <0.001 0.85 0.57–1.25 0.398  Hemoglobin level ≥12 g/dl 0.36 0.26–0.49 <0.001 0.49 0.32–0.73 <0.001  Count of WBC 1.11 1.08–1.15 <0.001 1.09 1.05–1.14 <0.001  Time to admission 1.65 1.16–2.35 0.005 1.01 1.00–1.02 0.015  eGFR ≤60 ml/min 0.26 0.19–0.35 <0.001 1.98 1.32–2.97 <0.001 New CR predictors: the relationships between results of blood routine and CR 2 We have explored new risk factors of CR: one was lower hemoglobin level, and the other was higher WBC count. Anemia had a close relationship with gender, age, and renal function, so we analyzed the association between hemoglobin level and occurrence of CR after adjustments for the above confounding factors. We found that the lower level of hemoglobin remained a significant determinant of CR (OR (95% CI): 0.82 (0.75–0.89); P < 0.001; c -statistic value=0.680) after adjusting for various confounding factors. There was no significant interaction between male and female ( P =0.420), as shown in Table 3 3 . Higher WBC counts also remained a significant determinant of CR (OR (95% CI): 1.08 (1.04–1.12); P < 0.001; c -statistic value=0.629), as shown in Table 4 4 . The lower level of hemoglobin was also independently correlated with pericardial effusion ( P < 0.001). Incidence of CR increased with the decline of hemoglobin level, while incidence of CR increased with the increase of WBC counts, which is shown in Fig. 1 1 . Model 1 regression was done with adjustment for age; Model 2 regression was done with adjustment for age, systolic blood pressure, heart rate, estimated glomerular filtration rate, anterior myocardial infarction, and count of white blood cell. HGB: hemoglobin 2 Gender 2 HGB (g/dl) 2 Model 1 2 Model 2 2 P value of interaction OR (95% CI) P value OR (95% CI) P value Male 13.5±1.9 0.785 (0.717–0.859) <0.001 0.756 (0.655–0.872) <0.001 2 0.420 Female 12.2±1.9 0.801 (0.726–0.884) <0.001 0.862 (0.739–0.998) 0.045 Model 1 regression was done with adjustment for age; Model 2 regression was done with adjustment for age, systolic blood pressure, heart rate, estimated glomerular filtration rate, admission time, and hemoglobin. WBC: white blood cell 2 Gender 2 WBC (×10 9 L −1 ) 2 Model 1 2 Model 2 2 P value of interaction OR (95% CI) P value OR (95% CI) P value Male 9.65±3.66 1.115 (1.063–1.169) <0.001 1.066 (1.012–1.122) <0.001 2 0.480 Female 9.70±4.12 1.091 (1.026–1.160) <0.001 1.091 (1.026–1.160) <0.001 (a) CR incidence increases with the decline of hemoglobin (HGB): 22 (0.56%), 35 (1.57%), 47 (3.07%), 29 (3.13%), and 45 (4.31%) for ≥140, 130–140, 120–130, 110–120, and ≤110 g/L HGB, respectively. (b) CR incidence increases with the increase of WBC levels: 63 (1.09%), 75 (2.79%), 28 (3.16%), and 12 (4.22%) for ≤10×10 9 , 10×10 9 –14×10 9 , 14×10 9 –18×10 9 , and ≥18×10 9 L −1 WBC, respectively Discussion 1 CR remains a major cause of mortality after STEMI and persists as a clinic challenge (Gao et al., 2012 2012 ). The current incidence of rupture reported in the literature is between 1% and 3% of patients suffering STEMI (Okino et al., 2005 2005 ; French et al., 2010 2010 ; Lopez-Sendon et al., 2010 2010 ). However, autopsy research detected CR in 30% to 65% of patients who died of acute myocardial infarction (AMI) (Hutchins et al., 2002 2002 ), which indicated that CR might have been globally underestimated by misdiagnosis. Our study showed the incidence of CR was 1.8%, slightly lower than reported before, partly because of the strict diagnostic criteria in our study. Some sudden unexpected deaths were not diagnosed as CR due to lack of autopsy. The percentage of sudden deaths due to rupture remained high in the first month post-infarction (Pouleur et al., 2010 2010 ). CR was the second cause of 30-d mortality for STEMI in our study (16.1%, 109/676), while pump failure was the first cause, which was in accordance with previous reports confirmed by autopsy (Shamshad et al., 2010 2010 ). It is necessary to have early and effective risk stratifications in STEMI patients according to risk factors of CR. Our research based on multicenter database was more credible than previous studies, and has investigated some new independent risk factors of CR. We further analyzed some new risk factors such as higher WBC count and lower level of hemoglobin. In particular, hemoglobin level decline independently correlated to occurrence of CR in Chinese STEMI patients after adjustments for other CR risk factors. In CR patients, leukocytes in filtration and hemorrhage are key histopathology (Lewis et al., 1969 1969 ; Kawano et al., 1994 1994 ; van den Borne et al., 2009 2009 ). The intramyocardial dissecting hematoma might appear as a component of the rupture during the remodeling process, and increases the likelihood of CR (Pliam and Sternlieb, 1993 1993 ; Vargas-Barrón et al., 2013 2013 ). Both intramyocardial dissecting hematoma and intramyocardial hemorrhage are associated with hemoglobin level decline. On the other hand, pericardial effusion may be present for a few days prior to a fatal rupture (Figueras et al., 2010 2010 ), implying that CR is a dynamic process. Pericardial effusion was also independently correlated with anemia in our study. In our previous research, we have indicated that risk of CR after AMI was related to the risk of hemorrhage (Qian et al., 2013 2013 ). Hemorrhage of the myocardium often leads to hemoglobin level decline and bloody pericardial effusion, which could explain why anemia was closely associated with occurrence of CR. Both inflammatory cells in filtration and matrix metalloproteinase-9 (MMP-9) expression were significantly more severe in ruptured than in non-ruptured hearts with acute MI (Fang et al., 2007 2007 ; van den Borne et al., 2009 2009 ; Gao et al., 2010 2010 ), which could explain why the CR group had higher WBC counts in our study. The prevention of mechanical complications should be emphasized in the acute phase of STEMI. We aimed to establish a risk evaluation model providing a good discrimination in Chinese STEMI patients. An early and effective intervention strategy for CR prevention is necessary. Early use of β-blockers and ACEI/ARB could help to prevent CR for patients with high CR risk (Figueras et al., 2008 2008 ; Pedrazzini et al., 2008 2008 ). Primary PCI therapy rather than thrombolysis could reduce the incidence of CR (Yip et al., 2003 2003 ; Okino et al., 2005 2005 ; Figueras et al., 2008 2008 ; Qian et al., 2011 2011 ). The gradual decline in the incidence of CR over a 30-year period was associated with progressive implementation of primary PCI (Figueras et al., 2008 2008 ). Such knowledge will help facilitate personalized decision-making for patients who are at high risk of CR. This study has some limitations. CR is an uncommon clinical condition, and thus involves a limited number of cases. This study included a few cases diagnosed based on clinical manifestations rather than necropsy. This was a retrospective cohort study, so retrospective bias exists in the statistics. Conclusions 1 The incidence of CR is low in Chinese STEMI patients, but is associated with poor prognosis. A number of variables are independently related to CR. This study pointed out, for the first time, that both hemoglobin and WBC levels were strongly and independently correlated with occurrence of CR. References L Fang , XM Gao , XL Moore , 等 . 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This article does not contain any studies with human or animal subjects performed by any of the authors. 10.1631/jzus.B1400095 Project supported by the China Capital Clinical Research (No. Z121107001012002) 2014-04-03 2014-11-14 2014-08-07 2022-01-05 Copyright © Zhejiang University and Springer-Verlag Berlin Heidelberg 2014 2014 Journal of Zhejiang University-SCIENCE B (Biomedicine and Biotechnology) 12 15