Ischemic heart disease (IHD) is one of the leading causes of mortality in China.
ST-segment elevation myocardial infarction (STEMI) is the most serious acute manifestation of IHD. A cornerstone of management for STEMI is early reperfusion in patients admitted within 12 h of symptom onset.  However, the reperfusion rate in patients with STEMI varies among countries. Evidence suggests that the reperfusion rate increased from 77.2% to 81.3% in Europe from 2006 to 2008, [2-4] and from 55.1% to 70.8% in the United States from 1990 to 2006.  However, in China, a nationwide multicenter survey carried out at 65 tertiary hospitals and 97 secondary hospitals (The China Patient-centered Evaluative Assessment of Cardiac Events Retrospective Study [PEACE]) showed that the adjusted reperfusion rate remained stagnant from 54.7% in 2001 to 55.2% in 2011.  Recently, our team reported an overall reperfusion rate of 57.4% from 2014 to 2018 at 150 tertiary hospitals and 42 secondary hospitals in the Improving Care for Cardiovascular Disease in China–Acute Coronary Syndrome (CCC-ACS) project, which was much lower than in Western countries. [7,8] The details of contemporary real-world reperfusion practice and its associated factors in hospitalized patients with STEMI in China are still unclear.  [7,10,11]
Thus, based on the CCC-ACS project, we aimed to provide a detailed description of recent practice patterns in reperfusion for STEMI patients and associated factors to guide future quality improvement initiatives in China.
Institutional review board approval was granted for this research with a waiver for informed consent by the Ethics Committee of Beijing Anzhen Hospital, Capital Medical University (No. 2014018). This study is registered at
(No. NCT02306616), and the study complied with the www.ClinicalTrials.gov Declaration of Helsinki. Study design and patients
The CCC-ACS project was launched in 2014 as a collaborative initiative of the American Heart Association and the Chinese Society of Cardiology. Detailed information about the design and methodology of the CCC-ACS has been described previously.
In brief, participating hospitals were stratified and enrolled by geographical region and economic level. From Phase I (from November 2014 to June 2017) to Phase IV (from November 2018 to December 2019), 241 hospitals were enrolled, including 159 tertiary hospitals and 82 secondary hospitals [Supplementary Table 1,  ]. The first 20 to 30 and 10 to 20 patients with ACS were consecutively reported to the database each month from tertiary and secondary hospitals, respectively. A standard web-based data collection platform (Oracle Clinical Remote Data Capture; Oracle Corporation, Redwood City, CA, USA) was used. Trained data abstractors at participating hospitals reported the required data from patients’ medical records. Third-party research associates performed regular quality audits to ensure the accuracy and completeness of the research data. The accuracy of medical record abstraction was 95.7%. https://links.lww.com/CM9/B387
In this analysis, we used the data of 60,618 patients with STEMI from 159 tertiary hospitals in China between November 2014 and December 2019, based on the principal discharge diagnosis. Of these, 1171 patients (1.9%) were excluded because of missing data on reperfusion therapies. Finally, 59,447 patients were included in the analysis. The flowchart of participant recruitment is shown in Supplementary Figure 1,
. https://links.lww.com/CM9/B387 Study variables
The key intervention variables were the use and type of reperfusion therapy, including no reperfusion, primary percutaneous coronary intervention (PCI) (including primary PCI at <12 h [within 12 h of symptom onset] and primary PCI at 12 to 24 h [12–24 h of symptom onset]), and fibrinolysis (including the pharmaco-invasive strategy and fibrinolysis alone) at the acute stage.
Timely PCI was defined as primary PCI and post-fibrinolysis PCI (pharmaco-invasive PCI and rescue PCI).  
Other study variables included demographic information (age, sex, medical insurance), risk factors (hypertension, diabetes mellitus, chronic heart failure, low-density lipoprotein cholesterol concentration of ≥70 mg/dL, and smoking), medical history (coronary heart disease, cerebrovascular disease, atrial fibrillation, renal failure, and bleeding), severe clinical conditions at admission (heart failure, cardiogenic shock, cardiac arrest, and Killip class), vital signs (estimated glomerular filtration rate [eGFR] of <60 mL·min
−1·1.73 m −2, heart rate, systolic blood pressure), medications within 24 h of arrival (dual antiplatelet therapy [DAPT] status and angiotensin-converting enzyme inhibitor [ACEI]/angiotensin receptor blocker [ARB], β-blocker, and statin use), and hospital-level factors (geographic region and regional gross domestic product).
The outcomes were in-hospital major adverse cardiovascular events (MACEs) and a composite endpoint of all-cause death, reinfarction, stent thrombosis, and stroke during hospitalization, as documented in patients’ medical records.
Detailed definitions of other variables are provided in the Supplementary Methods,
. For each treatment, specialized inclusion and exclusion criteria were used and were counted as denominators [Supplementary Table 2, https://links.lww.com/CM9/B387 ]. https://links.lww.com/CM9/B387 Statistical analysis
Continuous variables are reported as mean ± standard deviation or median (interquartile range [IQR]) and were compared using the Student's
t-test, Wilcoxon's rank-sum test, analysis of variance, or the Kruskal-Wallis H test based on the data type and distribution. Categorical variables are described as n (percentage), and comparisons were made using the χ 2 test or Fisher's exact test. The P values yielded by the multiple comparisons were corrected for multiplicity using the Bonferroni method.
To examine the association between patient characteristics, hospital characteristics, and reperfusion therapy, a hierarchical logistic regression analysis was performed using a random intercept of patients (level 1) clustered within hospital geographic regions (level 2). Candidate adjustment variables included patients’ individual characteristics (age, sex, medical insurance, time from symptom onset to admission, severe clinical conditions at admission [acute heart failure, cardiogenic shock, cardiac arrest], heart rate, systolic blood pressure, eGFR, diabetes mellitus, chronic heart failure, smoking, and history of disease [coronary heart disease, renal failure, and cerebrovascular disease]) and hospital characteristics (economic level of hospital location).
To evaluate the relationship between patterns of reperfusion therapy and in-hospital MACEs, two models were used after excluding patients who experienced MACEs within 1 day of admission, as follows: (i) a univariable Cox proportional hazards model and (ii) a mixed effects Cox regression model, clustering of patients within hospitals, while adjusting for age, sex, medical insurance, time from symptom onset to admission, severe clinical conditions at admission (acute heart failure, cardiogenic shock, cardiac arrest), vital signs (heart rate, systolic blood pressure, eGFR), diabetes mellitus, smoking, chronic heart failure, history of disease (coronary heart disease, renal failure, and cerebrovascular disease), transfer status, and medications in the first 24 h of arrival (DAPT, β-blockers, and ACEI/ARB).
We imputed the missing values of clinical variables using the sequential regression multiple imputation method implemented by IVEware software, version 0.2 (Survey Research Center, University of Michigan, Ann Arbor, MI, USA). Detailed information on the missing rate of each variable and the strategies used to manage missing data is presented in Supplementary Table 3,
. In addition, a sensitivity analysis was performed by further adjusting for the bleeding history using data from patients enrolled since July 2017 (information on bleeding history was only available after this date) to explored the factors associated with the use of reperfusion. https://links.lww.com/CM9/B387
All statistical analyses were performed using IBM SPSS Statistics 26.0 (IBM Corp., Armonk, NY, USA) and R software (
). A two-sided http://www.R-project.org P value of <0.05 was considered statistically significant. Results
Patients’ characteristics according to the type of reperfusion
Among the 59,447 patients with STEMI, 37,485 patients (63.1%) underwent reperfusion with primary PCI (32,929 patients [55.4%]) or fibrinolysis (4556 patients [7.7%]). Compared with patients who underwent reperfusion, patients who did not undergo reperfusion were older and more likely to be female, had a more frequent medical history, and had an overall higher-risk profile. Regarding medications administered within the first 24 h of admission, patients were more likely to be administered β-blockers and less likely to be administered DAPT. Compared with patients who did not undergo reperfusion and patients who underwent fibrinolysis, patients who underwent primary PCI were more likely to be covered by urban insurance and to have a lower disease burden. Compared with patients who did not undergo reperfusion and patients who underwent primary PCI, patients who underwent fibrinolytic therapy were more likely to be transferred and covered by rural insurance (
Table 1 -
Characteristics of hospitalized patients with STEMI by practice of reperfusion.
n = 59,447) No Reperfusion (
n = 21,962) Primary PCI (
n = 32,929) Fibrinolysis (
n = 4556)
61.8 ± 12.6
63.5 ± 12.8
61.2 ± 12.5
58.5 ± 11.5
‡ (25.4) 6593
§ (20.0) 772
‡ (47.1) 18,958
§ (57.6) 2061
‡ (29.3) 5693
§ (17.3) 1429
‡ (13.2) 4676
§ (14.2) 637
‡ (10.5) 3602
‡ (10.9) 429
‡ (61.5) 20,480
‡ (62.2) 2547
‡ (29.6) 9262
§ (28.1) 1143
Chronic heart failure
‡ (28.1) 8030
§ (24.4) 1280
Elevated LDL-C (≥ 70 mg/dL)
‡ (83.1) 29,221
§ (88.7) 3842
‡ (40.7) 16,124
§ (49.0) 2425
History of disease
Coronary heart disease
‡ (8.1) 2058
§ (6.2) 278
‡ (9.2) 2255
§ (6.8) 275
‡ (1.5) 424
§ (1.3) 44
‡ (1.5) 279
§ (0.8) 32
‡ (0.7) 38
§ (0.3) 9
‡ (55.7) 14,069
§ (42.7) 3352
†, h 5.5 [2.5,15.5]
‡ [5.0,64.3] 4.1
§ [2.1,8.0] 7.1
‡ (63.1) 24,615
§ (74.8) 3262
‡ (31.1) 6899
§ (21.0) 1071
‡ (5.8) 1415
§ (4.3) 223
−1·1.73 m −2) 91.4 ± 38.2
89.0 ± 40.0
92.5 ± 37.3
95.4 ± 35.6
Heart rate, beats/min
78.2 ± 16.4
78.4 ± 16.9
78.3 ± 16.1
76.8 ± 15.8
Systolic blood pressure, mmHg
127.2 ± 23.3
127.8 ± 23.1
127.2 ± 23.6
124.4 ± 21.9
Medications in first 24 h
‡ (92.4) 31,830
§ (96.7) 4385
ACEI or ARB
‡ (48.2) 15,056
§ (45.7) 2139
‡ (56.4) 17,574
§ (53.4) 2553
‡ (93.0) 31,054
§ (94.3) 4368
Hospital stays, days
‡ [7.0,14.0] 9.0
§ [7.0,12.0] 10.0
Data are presented as
n (%), mean ± standard deviation or median [interquartile range]. ∗Among 20,703 patients enrolled since July 2017. †Symptom-to-admission time was not available for 13,878 of 59,447 (23.3%) patients with STEMI. ‡Group differs significantly from type (in a row) where § or || is indicated.ACEI: Angiotensin-converting enzyme inhibitor; ARB: Angiotensin receptor blocker; DAPT: Dual antiplatelet therapy; eGFR: Estimated glomerular filtration rate; LDL-C: Low-density lipoprotein cholesterol; PCI: Percutaneous coronary intervention; STEMI: ST-segment elevation myocardial infarction. Geographical and temporal variations in the use of reperfusion
The rate of reperfusion varied across the seven geographical regions of China, ranging from 48.0% (4547/9482) to 73.5% (7393/10,052). In central China, more than half of hospitalized patients with STEMI (52.0%, 4935/9482) did not undergo any type of timely reperfusion therapy, and the lowest rate of primary PCI (33.9%, 3213/9482) was paralleled by the highest rate of fibrinolysis (14.1%, 1334/9482) (
Figure 1). From 2014 to 2019, the rate of reperfusion continuously increased from 60.0% (11,310/18,834) to 69.7% (4664/6690); in particular, the rate of primary PCI increased from 51.0% (9622/18,834) to 62.9% (4207/6690). Meanwhile, the rate of fibrinolytic therapy decreased from 9.0% (1688/18,834) to 6.8% (457/6690). The rate of pharmaco-invasive therapy remained stagnant from 3.1% (577/18,834) to 4.0% (267/6690) over the course of the study ( Figure 2). The fibrinolytic agent information was available for 2065 (45.3%) of the 4556 patients receiving fibrinolysis. Among those, 972 (47.1%) were treated with a non-specific fibrinolytic agent (including urokinase and streptokinase), 885 (42.8%) were treated with a specific thrombolytic agent (including reteplase, alteplase, and tenecteplase), and the remaining 208 (10.1%) were treated with other agents (types not available). Figure 1:
Regional patterns of reperfusion therapy among hospitalized patients with STEMI in years (A) 2014–2019 and (B) 2019. PCI: Percutaneous coronary intervention; STEMI: ST-segment elevation myocardial infarction.
Temporal trends in the pattern of reperfusion therapy among hospitalized patients with STEMI. Percentage of hospitalized patients with STEMI with different patterns of reperfusion therapy according to the year of admission. PCI: Percutaneous coronary intervention; STEMI: ST-segment elevation myocardial infarction.
Procedural characteristics of STEMI patients who underwent primary PCI
Among the 32,929 patients with STEMI who underwent primary PCI, 28,280 patients (85.9%) underwent primary PCI at <12 h, while 4649 (14.1%) underwent primary PCI at 12 to 24 h. Compared with patients who underwent primary PCI at 12 to 24 h, patients who underwent primary PCI at <12 h had an overall lower-risk profile and were less likely to be transferred [Supplementary Table 4,
]. A large proportion of patients who underwent primary PCI did so via radial access (92.7%, 30,035/32,385). Thrombus aspiration was performed in 24.6% (8094/32,929) of patients. A total of 90.0% (29,619/32,926) of patients underwent stent implantation, among whom drug-eluting stents (DES) were used in 98.8% and bare-metal stents were used in 0.6% of patients. Of note, delays in door-to-balloon time were seen in the two primary PCI groups. A total of 72.8% (16,746/22,990) of patients in the primary PCI at <12 h group and 50.8% (1460/2874) of patients in the primary PCI at 12 to 24 h group met the door-to-balloon time goal of ≤90 min. The median door-to-balloon time was 60.0 min [IQR 33.0, 105.0] ( https://links.lww.com/CM9/B387 Table 2).
Table 2 -
Procedural characteristics of primary PCI in patients hospitalized with STEMI.
n = 32,929) Primary PCI< 12 h (
n = 28,280) Primary PCI 12–24 h (
n = 4649)
∗, h 4.0 (2.0, 8.0)
3.9 (2.0, 6.7)
14.9 (7.0, 24.3)
Culprit vessel location
Number of narrow coronary arteries
Nonobstructive CAD, < 50%
‡, min 60.0 (33.0, 105.0)
58.0 (32.0, 98.0)
90.0 (43.0, 240.0)
Implantation of stents
Number of implanted stents
1.0 (1.0, 2.0)
1.0 (1.0, 1.0)
1.0 (1.0, 2.0)
Other procedures during hospitalization
Data are presented as
n (%) or median (interquartile range). ∗Symptom-to-admission time was not available for 4153 of 32,929 (12.6%) patients. †Number of narrowed coronary arteries was not available for 3663 of 32,929 (11.1%) patients. ‡Door-to-balloon time was not available for 7065 of 32,929 (21.5%) patients. §Vascular access was not available for 544 of 32,929 (1.7%) patients. ||Implantation of stents was not available for 3 of 32,929 (0%) patients. ¶Stent type was not available for 236 of 29,619 (0.8%) patients with stent implantations. ∗∗Total number of implanted stents was not available for 78 of 11,222 (0.7%) patients with stent implantations who were enrolled after July 2017. ††IABP was based on 12,364 patients enrolled since July 2017. ‡‡PTCA was based on 1142 patients without stent insertion who were enrolled after July 2017. P values are for comparisons among the two groups using the Student's t-test, Wilcoxon's rank-sum test, or χ 2 test. BMS: Bare-metal stent; CAD: Coronary artery disease; CABG: Coronary artery bypass graft; DES: Drug-eluting stent; IABP: Intra-aortic balloon pump; LAD: Left anterior descending; LCX: Left circumflex; LM: Left main; PCI: Percutaneous coronary intervention; PTCA: Percutaneous transluminal coronary angioplasty; RCA: Right coronary artery; STEMI: ST-segment elevation myocardial infarction. Factors associated with the use of reperfusion
For individual-level variables, older, female, rural insurance, history of disease (including prior coronary heart disease, renal failure, and cerebrovascular disease), heart failure at admission, higher systolic blood pressure, and a longer time interval between symptom onset and admission were associated with a lower odds of reperfusion. Regarding hospital-level variables, hospitals in regions with middle and high levels of economic development had significantly higher odds of reperfusion than low economic regions. A dose-response relationship was noted between a shorter symptom-to-admission time, a higher regional gross domestic product, and a higher odds of reperfusion (
Figure 3). We then conducted a sensitivity analysis to further adjust for the history of bleeding according to medical records. Similar results were obtained in the sensitivity analysis [Supplementary Figure 2, ]. https://links.lww.com/CM9/B387 Figure 3:
Association between patients’ characteristics and the use of reperfusion therapy. A hierarchical logistic regression model was clustered for patients within hospital geographic regions, adjusted for patients’ individual characteristics (age, sex, medical insurance, time from symptom onset to admission, severe clinical conditions at admission [acute heart failure, cardiogenic shock, cardiac arrest], heart rate, systolic blood pressure, eGFR, diabetes mellitus, chronic heart failure, smoking, history of disease [coronary heart disease, renal failure, and cerebrovascular disease]), and hospital characteristics (economic level of hospital location). CI: Confidence interval; CHD: Coronary heart disease; eGFR: Estimated glomerular filtration rate; GDP: Gross domestic product; OR: Odds ratio.
Practice of reperfusion and in-hospital outcomes
Compared with no reperfusion, all reperfusion strategies were associated with a lower risk of in-hospital MACEs according to the univariable Cox regression analysis. After full adjustment, the risk of MACEs was significantly lower with every type of timely PCI compared with no reperfusion (primary PCI <12 h group (hazard ratio [HR]: 0.64; 95% confidence interval [CI]: 0.54–0.76), primary PCI 12 to 24 h group (HR: 0.53; 95% CI: 0.37–0.74), and pharmaco-invasive strategy group (HR: 0.46; 95% CI: 0.25–0.82)), with the exception of fibrinolysis alone (HR: 0.79; 95% CI: 0.54–1.15) (
Table 3 -
Association between patterns of reperfusion therapy and in-hospital MACE.
Unadjusted HR (95% CI)
P value Adjusted
† HR (95% CI)
< 12 h
∗The number of in-hospital MACEs was not available for 407 (0.7%) patients who experienced MACEs within 1 day of admission or had missing data regarding the detailed PCI strategies. †The adjusted model was clustered for patients within hospitals, and adjusted for age, sex, medical insurance, time from symptom onset to admission, severe clinical conditions at admission (acute heart failure, cardiogenic shock, cardiac arrest), vital signs (heart rate, systolic blood pressure, eGFR), diabetes mellitus, smoking, chronic heart failure, history of disease (coronary heart disease, renal failure, and cerebrovascular disease), transfer status, and medications administered in the first 24 h of arrival (DAPT, β-blockers, and ACEI/ARB). ACEI: Angiotensin-converting enzyme inhibitor; ARB: Angiotensin receptor blocker; CI: Confidence interval; DAPT: Dual antiplatelet therapy; eGFR: Estimated glomerular filtration rate; HR: Hazard ratio; MACE: Major adverse cardiovascular event; PCI: Percutaneous coronary intervention. Discussion
This is the largest and most up-to-date real-world study exploring the practice of reperfusion in patients hospitalized with STEMI in China. We found that the rate of reperfusion (63.1%) among hospitalized patients with STEMI was far from optimal. Meanwhile, the use and pattern of reperfusion therapy varied across different geographical regions (48.0%–73.5%). There was a dramatic increase in the rate of reperfusion from 2014 to 2019 (from 60.0% to 69.7%), mainly due to the increase in the rate of primary PCI at <12 h (from 42.4% to 55.8%). Patient and hospital characteristics were both associated with reperfusion therapy. These findings identified areas that can be specially targeted to strengthen the use of early reperfusion and improve the quality of care for patients with STEMI in China.
Use of reperfusion among patients with STEMI
Among hospitalized patients with STEMI in China, the rate of early reperfusion (63.1%) from 2014 to 2019 was far from optimal. In fact, the rate was much lower than the rate in Sweden in 2014 (81.7%) and in the UK between 2004 and 2010 (76.8%).
The rate of primary PCI (55.4%) was also much lower than in Sweden in 2014 (78.0%). [14,15] Meanwhile, the rate of fibrinolytic therapy were extremely low (7.7%), and there was a huge gap between the extremely low rate of the pharmaco-invasive strategy and guideline recommendations.  This suggests that there may be an opportunity to emphasize the use of reperfusion therapy in China, including primary PCI and the pharmaco-invasive strategy. [2,3]
Regarding the procedural characteristics of primary PCI, the four invasive procedures with Class I recommendations for primary PCI were widely adopted, including primary PCI within the first 90 min of arrival, stent treatment, and radial artery access.
Also, we identified a significant and rapid improvement in these invasive procedures in recent decades compared with the China Acute Myocardial Infarction (CAMI) registry in 2014  and the China PEACE study in 2011.   Geographic variation in the use of reperfusion
There were large geographic variations in reperfusion practice. Hospitals in central China had significantly lower rates of reperfusion than other regions, which is consistent with a previous study.
Central China does not benefit from social health insurance programs and policy priorities as much as western regions and has become inefficient in medical service delivery compared with other regions.  Thus, specially targeted quality improvement efforts in central China will help to narrow regional care disparities for patients with STEMI.  Temporal trends in the type of reperfusion
We noticed a dramatic increase in the reperfusion rate from 2014 to 2019 in patients hospitalized with STEMI at tertiary hospitals in China, mainly due to the substantial and sustained increase in primary PCI at <12 h. The China PEACE registry, in which 40% of hospitals were tertiary hospitals, showed that the adjusted reperfusion rate remained stagnant from 54.7% in 2001 to 55.2% in 2011.
Subsequently, the CAMI report, in which 74.0% of hospitals were tertiary hospitals, showed that the reperfusion rate was 57.5% between 2013 and 2014.  To date, the overall reperfusion rate has increased, with a shift from fibrinolytic therapy to primary PCI at <12 h from 2014 to 2019. China started to build a social health insurance system in 2009,which focused on promoting public health services and equity and achieved near-universal health insurance coverage in 2011.  Meanwhile, a nationwide program (the China STEMI-PCI program) was established in 2011.  This program emphasized the development of chest pain centers, which have demonstrated improved in-hospital outcomes during the past decade in China.  Our findings are generally consistent with those of previous studies supporting the benefits of health reform on health resource allocation.  [8,10]
A substantial proportion of reperfusion therapies are performed beyond recommended timelines.
We observed that almost 10% of patients underwent primary PCI at 12 to 24 h. Among the patients who underwent fibrinolysis, only 38.4% underwent the pharmaco-invasive strategy, as recommended in published guidelines. [10,21-23] The persistently marked underuse of guideline-recommended reperfusion, particularly the pharmaco-invasive strategy, calls for improvements in the selection of patients for early fibrinolysis and/or transfer PCI.  Factors associated with the use of reperfusion
Regarding the factors associated with the inefficient use of reperfusion, our study has shown that patient and hospital characteristics may be considered by care providers and may thus affect the delivery of guideline-recommended reperfusion strategies. As expected, patients who are elderly, female, with rural insurance and an overall high-risk profile are associated with a low odds of reperfusion therapy. A longer pre-hospital delay was also associated with a lower odds of reperfusion therapy, even in patients within 12 h of symptom onset, which is inconsistent with published guidelines.
Discrepancies in reperfusion therapy for STEMI might result from inadequate and inappropriate provider knowledge and concerning about potential patient arbitration and litigation due to the risk of treatment. [2,3] All patients enrolled in our study were from tertiary hospitals, and performance might be even worse at community hospitals and non-teaching hospitals. Quality improvement efforts require significant investment from hospitals and health care professionals. [24-26]
Finally, we found that hospital-level factors and an unbalanced economy were associated with the use of reperfusion. Patients with STEMI who were hospitalized in low economic regions were generally less likely to undergo reperfusion therapy than patients hospitalized in other economic regions, which is consistent with previous studies.
A dose-response relationship was noted between higher economic development and reperfusion therapy. Our findings highlight the urgent need for more targeted policies in undeveloped regions to improve the overall use of reperfusion therapy in China. 
The present study is subject to the limitations inherent in all observational studies. The major objective was to explore the current status of reperfusion practice and its associated factors among patients hospitalized with STEMI in China. Although we attempted to explore the potential associations between types of reperfusion therapies and number of in-hospital MACEs using a Cox regression model, the HR is unable to be used in the same way in observational studies as in randomized trials to explain the clinical benefits of the therapies. In addition, the present study only focused on in-hospital outcomes. Future studies with post-discharge data will help to examine the effect of reperfusion patterns on the long-term outcomes of patients with STEMI. Moreover, all participating hospitals were tertiary hospitals. Therefore, the findings cannot be generalized to all hospitals in China. Finally, clinical information was defined based on the information abstracted from in-patient records, and although the accuracy of medical record abstraction was 95.7% according to a third-party audit, the quality of documentation in the original medical records may have been affected by the quality of the data.
More than one-third of patients with STEMI do not undergo reperfusion therapy in China. The rate of reperfusion increased from 2014 to 2019, and the performance varied across the broad geography and unbalanced economy. Our findings indicate that timely reperfusion therapies, including primary PCI and pharmaco-invasive therapy, should be further strengthened, particularly in patients who are elderly, are female, have a long pre-hospital delay, and are from rural areas. This study emphasizes the urgent need for more targeted policies in Central China and in undeveloped regional hospitals to narrow the geographical and economic disparity and improve the overall use of reperfusion therapy.
We acknowledge all participating hospitals for their contributions to the project.
Conflicts of interest
The Improving Care for Cardiovascular Disease in China–Acute Coronary Syndrome (CCC-ACS) Project is a collaborative program of the American Heart Association and the Chinese Society of Cardiology. The American Heart Association has been funded by Pfizer and AstraZeneca for a quality improvement initiative through an independent grant for learning and change.
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