Abstract
Introduction: The current study aimed to assess recent acute myocardial infarction (AMI) mortality rates and trends in Romania between 1994 and 2017. This dataset is a necessity in the context of the current improvement of emergency protocols, medical addressability, and modernization of hospital infrastructure. Materials and Methods: The study is a retrospective analysis of an anonymized mortality database containing all deaths registered in Romania during 1994–2017. AMI crude mortality rates (CMR) and age-standardized mortality rates (ASMR) were calculated using the European Standard Population. Poisson regression was used for calculating the annual percentage change (APC) in mortality, subsequently used to make mortality predictions through the year 2030. Results: There were 197,152 AMI deaths in women (39.3% of total AMI), and 304,644 (60.7%) in men. Mortality rates were higher in men as compared with women for the entire time covered by the study. Based on the 1994–2017 ASMR dynamics, predictions for the year 2030 showed an overall AMI ASMR of 70.9 (95% CI 69.9–71.9), with gender analysis showing 46.8 (95% CI 45.8–47.9) in women and 104.1 (95% CI 102.3–105.8) in men. Conclusion: Acute myocardial infarction age-standardized mortality rates decreased significantly in Romania between 1994 and 2017 in close correlation to the implementation of national healthcare programs.
Keywords: mortality trend, myocardial infarction, life expectancy, healthcare programs
1. Introduction
According to the Global Burden of Disease Study 2017, cardiovascular diseases were responsible for 31.8% of all deaths worldwide [1]. The global age-standardized death rate (ASDR) was 233.1 per 100,000 persons, declining 10.3% during the last decade [1]. Approximately half of all cardiovascular deaths were due to ischemic heart disease, which also declined by 9.7% during 2007–2017 [1]. However, significant geographical variations were reported, with Romania showing some interesting particularities. First, cardiovascular diseases were responsible for a significantly higher percentage of total deaths (55.5%). Second, the death rates for cardiovascular diseases were roughly three times higher in Romania compared with the rest of the world. And third, the cardiovascular death rate (per 100,000) increased during the last decade from 681 (CI 95% 677–685) in 2007 to 745 (CI 95% 716–774) in 2017, as opposed to the general tendency towards a reduction [1].
Acute myocardial infarction (AMI) is the leading cause of death among ischemic heart diseases. AMI mortality data was not available for analysis in the Global Burden of Disease Study 2017. All previously published data on AMI mortality rates and trends in Romania were based on various samples of AMI cases admitted in the hospital, especially for angioplasty procedures [2,3]. AMI mortality is significantly higher before reaching the hospital, with a second drop in mortality rate after the initial 2 h from hospital admission. Higher-ranked hospitals, with clear AMI protocols, including access to revascularization procedures, tend to have better results in terms of AMI mortality. In this context, the current study aimed to assess AMI mortality at the national level, including all individual AMI deaths registered in Romania, starting with 1994 and through to 2017.
2. Materials and Methods
The present study is a retrospective analysis of an anonymized mortality database obtained from the National Institute of Statistics (Eurostat microdata). It comprises all deaths registered in Romania during 1994–2017, using the information from the death certificate. Exposure was also available as mean estimates of the resident population on July 1st, for each year of interest [4].
All death-related data was obtained from the death certificate. Gender, date of birth, year of death, cause of death, and place of death were accessible in this study. During 1994–1999, causes of death were encoded using a local system related to the International Statistical Classification of Diseases and Related Health Problems (ICD) 9th revision. The ICD 10th revision was used starting with the year 2000 (I21–I23). Around 99% of the cases used in this study were coded as I21 (acute myocardial infarction). The date July 1st was used for each time of death as the exact day and month of death were not available (Eurostat anonymized microdata). This date was chosen for minimizing the error in age at death calculation. Also, the matching exposed general population was counted as of July 1st each year.
Acute myocardial infarction (AMI) crude mortality rates (CMR) and age-standardized mortality rates (ASMR) were calculated using the European Standard Population [5]. We used five years age groups, starting at birth, with the last group, including all deaths, starting at age 85 years and above. The last age band was constructed in corroboration with the accessibility of the general population data. Some discrepancies between the ASMRs reported in this study and other officially declared data might be explained by the adjustment used for deaths occurring after the age of 85 years, as the last age band in some official data might be ≥95 years.
Another minor source of variations could reside in error in age at death measurement (see above). However, due to the relatively large number of cases analyzed here, the positive and negative misclassified cases should effectively cancel each other out. CMRs for age groups less than 40 years were not included in the data tables (see Results) due to the small number of cases. They were, however, used in the overall and age-standardized mortality analysis.
Poisson regression was used for calculating the annual percentage change (APC) in mortality. Analysis of trend used the APC recurrently applied to the last available ASMR (year 2017). The aim was to make mortality predictions through to the year 2030. Mortality life table analysis for the year 2017 was used to evaluate the gain in life expectancy at birth that could be obtained by completely removing the AMI-related mortality. Statistical analysis was performed using Stata version 13 (StataCorp LLC, College Station, TX, USA).
The local ethics committee approved the study. Informed consent was not obtained because this was a retrospective, anonymized database-driven study. Written permission for data usage was obtained from the Eurostat/National Institute of Statistics.
3. Results
AMI was registered as the underlying cause of death for 501,796 cases (8% of total deaths) during 1994–2017. There were 197,152 AMI deaths in women (39.3% of total AMI) and 304,644 (60.7%) in men. The corresponding alive general population showed a linear decrease from 22.7 million in 1994 to 19.6 million in 2017. The overall AMI CMR per 100,000 person-years was 98.5 (75.5 for women and 122.5 for men). All CMRs increased with age in both women (Table A1) and men (Table A2). There was a significant decrease in AMI overall CMR and age-standardized mortality rates (ASMR), as summarized in Figure 1 and Table A3 and Table A4 (see Appendix A). This decrease was highest in the 40–44 age group and decreased in amplitude with age (Table A1 and Table A2).
Figure 1.
Acute myocardial infarction age-standardized mortality rates in Romania (1994–2017).
Life table analysis for the year 2017 showed that complete removal of AMI mortality would result in 0.78 years gain in life expectancy at birth (0.52 years in women and 0.96 years in men).
There was an initial significant increase in AMI ASMR per 100,000 person-years from 134.9 (95% CI 134.3–135.6) in 1994 to 146.2 (95% CI 145.6–146.8, p < 0.001) in 2006. However, this increase was not steady but marked by high fluctuations (see Figure 1). This initial increase in ASMR was followed by a significant decrease to 103.9 (95% CI 103.5–104.4, p < 0.001) in 2017, with an APC of 2.9% per year (95% CI 2.8–3.0, p < 0.001). This decrease in ASMR was steeper in women (APC 3.4%, CI 95% 3.2–3.6) as compared with men (APC 2.4%, CI 95% 2.3–2.6). Mortality rates were higher in men as compared with women for the entire time covered by the study (Figure 1). Based on the 1994–2017 ASMR dynamics, predictions for the year 2030 showed an overall AMI ASMR of 70.9 (95% CI 69.9–71.9), with gender analysis showing 46.8 (95% CI 45.8–47.9) in women and 104.1 (95% CI 102.3–105.8) in men.
Most patients died of AMI at home (n = 335,521, 66.9%), followed by in hospital (n = 121,411, 24.2%) and elsewhere (n = 44,950, 0.9%). Deaths from other causes than AMI were more likely to happen at home (70.5%, p < 0.001) and less likely in the hospital (22.0%, p < 0.001). Deaths registered at home significantly decreased from 69.6% (95% CI 69.0–70.3) in 1994 to 67.9% in 2006 (95% CI 67.3–68.5, p < 0.001 vs. 1994) and 59.8% in 2017 (95% CI 59.1–60.5, p < 0.001 vs. 2006). There was also a significant increase in the proportion of AMI deaths registered in the hospital, from 20.3% (95% CI 19.7–20.9) in 1994 to 22.8% (95% CI 22.2–23.3, p < 0.001 vs. 1994) in 2006 and 30.4% (95% CI 29.8–31.1, p < 0.001 vs. 2006) in 2017.
The mean age at AMI death increased significantly in both women (70.7 ± 12.5 years in 1994 vs. 78.1 ± 11.1 years in 2017, p < 0.001) and men (63.0 ± 13.3 years in 1994 vs. 70.0 ± 12.9 years in 2017, p < 0.001). This trend was accompanied by a significant increase in the mean age at death from causes other than AMI in both women (70.9 ± 18.9 years in 1994 vs. 77.7 ± 14.0 years in 2017, p < 0.001) and men (63.9 ± 20.0 years in 1994 vs. 70.7 ± 15.6 years in 2017, p < 0.001).
4. Discussion
Acute myocardial infarction age-standardized mortality rates decreased significantly in Romania during 1994–2017. However, this was not a linear decrease, with data showing an initial increase in mortality rates during 1994–2006, followed by a steady decline until 2017. This fact could be partly explained by new healthcare national initiatives aligned with the European guidelines on the matter, better addressability to emergency units, and better effectiveness of the ambulance services. Providing a socio-economic context might give some clues about the dynamic of AMI mortality reported in the current study. The transition towards the western European lifestyle started in 1989, with a significant step forward in 2007, represented by the country’s admission to the European Union. Major healthcare reforms took place immediately before and after. This pivotal moment led to significantly increased access to outpatient health care. The low complexity cases were offloaded from the hospitals and allowed for better accessibility of complex cases (including AMI) to the much-needed hospital care. This might have at least partially contributed towards the shift from home to hospital location of AMI death registration. This shift was already apparent by 2006, but significantly amplified thereafter. The National Program for Primary Angioplasty in ST-segment Elevation Myocardial Infarction started in August 2010, and a national media campaign for raising public awareness of myocardial infarction symptoms was conducted during 2015–2016. Furthermore, there was a significant development in interventional cardiology, such as novel stents and potent antiplatelet agents, and enforcement of evidence-based medicine. The improved hospital access and care for AMI patients might have also contributed towards the recent decline in AMI mortality. A report from the Romanian ST-Elevation Myocardial Infarction registry (RO-STEMI) analyzing data from 15,076 patients with ST-elevation AMI showed that 77% of them received a percutaneous coronary intervention, with significantly better in-hospital mortality rates as compared with conventional treatment (4.1% vs. 15.7%) [6]. To conclude, cigarette smoking was forbidden in public places in Romania, starting in March 2016. The impact of this measure on the AMI mortality trend is more likely minor in the current study, but might have implications for future studies. As per the data published in 2009 from the Romanian Registry for ST-segment Elevation Myocardial Infarction, only a very small proportion of the patients underwent primary percutaneous coronary intervention (PCI) (1.9%) [2]. The data for this study was collected starting with 2000 and ending in 2007. Thrombolysis was used much more than PCI, in about a third of patients.
As PCI was proven to be more efficient than thrombolysis, the PCI utilization in Europe was approximated to have reached 50% by 2009 [7]. In a paper published in 2010, regarding the situation in Europe between 2007 and 2008, Romania still predominantly used thrombolysis, with only 5% PCI use [8]. By 2010, the PCI rate was still 25%, but after the introduction of the national PCI program, it reached 49.32% in 2011 [9]. However, the data indicates an increase in PCI utilization from 1.9% to 25% between 2000 and 2010. This escalation was somewhat linear, explaining why the mortality rate started to decline at about half the interval, specifically in 2006. Moreover, improvement in prehospital care also contributed to this decline [10].
On the other hand, the initial increase in mortality may be due to a combination of factors. One factor is the already mentioned switch to an unhealthy, fast-food laden, and more sedentary lifestyle after the 1989 fall of the communist regime. Also, another key element is the publishing of the first universal definition of the myocardial infarction in 2007. This guideline unifies the diagnostic criteria, making over diagnosing of AMI less probable, thus contributing to the decline observed after 2006. Moreover, better diagnosis (use of troponin, creatine kinase, creatine kinase — MB) aided in the process of recording a correct diagnosis.
Gender analysis showed that only women experienced this initial increase, with men displaying a relatively steady AMI ASMR. The decline in ASMR in the last decade was apparent in both men and women. AMI mortality rates were higher in men as compared with women for the entire study period. They increased with age in both men and women.
A previous report showed a significant decrease of around 25% in ischemic heart disease mortality in Romania during 2002–2012 [11]. A general reduction in AMI mortality was also reported in other studies [1,12,13]. In a recent report from the American Heart Association, the incidence and mortality from ischemic heart disease was reported to be approximately 10–20 years lagging in women as compared with men [14]. Hypertension, dyslipidemia [15], smoking, obesity, and diabetes [16,17] are major cardiovascular risk factors, commonly found among adult Romanian population. Hypertension prevalence in Romania reported by the SEPHAR III study was 45.1%, increasing from 40% in the previous report [18,19]. This increase in incidence was apparently contrasting with the reported decrease in AMI mortality during the same period. The explanation may reside in the significant rise in the prevalence of hypertensive patients receiving treatment (72.2 vs. 59.2%), achieving the treatment target (30.8 vs. 25%), and aware of having hypertension (80.9 vs. 69.6%) [18]. Romania is experiencing a relatively high prevalence of obesity (31.9%), increased waist circumference (73.9%), metabolic syndrome (38.5%), and diabetes (11.6%) [20,21]. As Romanian patients with diabetes live longer, an increased burden on cardiovascular mortality is to be expected, opposing the general tendency of cardiovascular mortality decline registered in recent years [22,23,24].
The strength of the current study resides in full national coverage of all AMI deaths over an extensive period, with an estimated rate of case capture very close to 100%. Also, this study is part of a bigger body of work regarding cardiovascular death. The already published data on stroke mortality shows similar trends [25].
Although ischemic heart disease mortality data can be obtained from other publicly available databases, AMI-related data cannot. Also, access is generally open to gender and age group statistics. Case by case access to mortality data is not currently available to the public. An acknowledged weakness of the study comes from the inherent drawbacks of using death certificates as the source of mortality data, especially in the context of a meagre autopsy rate. Although miscoding the cause of death is a recognized source of error, it generally presents more like a systematic than a random error. Therefore, its impact on trend analysis, as done in this study, could be considered acceptable. Some recent AMI public awareness campaigns might have increased the likelihood of AMI coding on the death certificates, contributing to an underestimating of the actual decline in AMI mortality in recent years. Therefore, the reported reductions in AMI mortality could be considered as conservative figures. The socio-economical context provided here is strictly informational, with no definitive data to support any causality.
5. Conclusions
Age-standardized acute myocardial infarction mortality in Romania increased during 1994–2006, followed by a significant decrease until 2017. Mortality rates were higher in men compared with women and increased with age in both genders. Conservative predictions for 2030 showed a continued decline in AMI mortality rates. The possible explanation for these trends resides in the western, sedentary lifestyle, bad eating habits, which were gradually buffered by national health awareness initiatives, better addressability to healthcare professionals, and better healthcare national programs. Still, by the middle of the last decade (around 2006) the proficiency of the healthcare system had not yet reached western European standards.
Appendix A
Table A1.
Acute myocardial infarction crude mortality rates in women, by age and calendar year.
| Year | Women Crude Mortality Rates Per 100,000 Person-Years, by Age Group (Years) | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| 40–44 | 45–49 | 50–54 | 55–59 | 60–64 | 65–69 | 70–74 | 75–79 | 80–84 | ≥85 | |
| 1994 | 16.8 | 30.3 | 47.5 | 70.5 | 110.2 | 170.3 | 256.9 | 388.4 | 477.3 | 794.8 |
| 1995 | 16.6 | 27.8 | 48.1 | 70.7 | 116.9 | 189.9 | 268.1 | 382.4 | 520.0 | 828.6 |
| 1996 | 18.1 | 32.5 | 54.8 | 76.2 | 126.8 | 181.9 | 267.5 | 411.2 | 618.7 | 984.5 |
| 1997 | 17.1 | 32.5 | 48.7 | 81.0 | 120.3 | 200.0 | 266.4 | 383.5 | 610.7 | 923.3 |
| 1998 | 17.3 | 31.5 | 47.2 | 82.3 | 125.0 | 185.8 | 293.7 | 443.6 | 631.8 | 1029.8 |
| 1999 | 14.5 | 24.1 | 46.9 | 73.6 | 113.5 | 187.0 | 281.4 | 444.0 | 652.0 | 1023.7 |
| 2000 | 14.2 | 22.5 | 38.1 | 71.7 | 110.2 | 165.3 | 260.9 | 398.7 | 578.5 | 1050.2 |
| 2001 | 15.7 | 26.7 | 47.0 | 69.3 | 110.6 | 176.6 | 267.7 | 406.0 | 615.3 | 1027.9 |
| 2002 | 12.9 | 26.9 | 44.3 | 76.4 | 119.5 | 184.2 | 290.4 | 436.8 | 697.8 | 1217.2 |
| 2003 | 15.8 | 25.1 | 38.4 | 76.9 | 109.7 | 170.5 | 284.7 | 421.7 | 619.6 | 1172.8 |
| 2004 | 14.9 | 24.4 | 38.2 | 65.4 | 110.4 | 181.3 | 294.6 | 447.6 | 660.6 | 1344.6 |
| 2005 | 11.5 | 21.4 | 41.4 | 64.8 | 115.9 | 172.0 | 283.6 | 468.4 | 706.8 | 1251.2 |
| 2006 | 10.6 | 21.0 | 38.4 | 64.5 | 101.8 | 169.6 | 284.7 | 439.0 | 661.2 | 1251.3 |
| 2007 | 10.5 | 21.3 | 31.3 | 67.0 | 97.3 | 163.9 | 257.5 | 449.5 | 676.1 | 1249.2 |
| 2008 | 8.4 | 20.1 | 31.8 | 57.0 | 93.8 | 151.1 | 262.6 | 426.4 | 654.1 | 1210.7 |
| 2009 | 9.0 | 18.3 | 30.5 | 57.5 | 96.4 | 146.3 | 245.9 | 407.3 | 608.2 | 1195.1 |
| 2010 | 10.2 | 16.4 | 30.1 | 44.9 | 83.6 | 141.4 | 246.1 | 396.6 | 633.5 | 1199.9 |
| 2011 | 8.6 | 16.7 | 24.4 | 45.1 | 77.3 | 122.7 | 217.5 | 361.5 | 592.7 | 1083.1 |
| 2012 | 6.0 | 14.4 | 24.3 | 42.2 | 73.6 | 121.6 | 203.8 | 366.3 | 593.0 | 1096.3 |
| 2013 | 7.7 | 9.0 | 27.2 | 42.7 | 73.5 | 118.2 | 207.5 | 337.5 | 568.5 | 1040.4 |
| 2014 | 5.6 | 13.0 | 23.7 | 41.5 | 70.7 | 114.6 | 197.9 | 327.1 | 595.0 | 1049.7 |
| 2015 | 7.4 | 12.0 | 22.9 | 43.7 | 72.0 | 119.3 | 203.3 | 345.4 | 598.8 | 1179.8 |
| 2016 | 6.0 | 10.3 | 18.8 | 39.8 | 63.8 | 111.3 | 181.4 | 311.9 | 540.6 | 977.1 |
| 2017 | 6.1 | 9.6 | 24.2 | 37.7 | 66.6 | 107.1 | 173.4 | 297.9 | 537.0 | 948.7 |
Table A2.
Acute myocardial infarction crude mortality rates in men, by age and calendar year.
| Year | Men Crude Mortality Rates Per 100,000 Person-Years, by Age Group (Years) | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| 40–44 | 45–49 | 50–54 | 55–59 | 60–64 | 65–69 | 70–74 | 75–79 | 80–84 | ≥85 | |
| 1994 | 91.5 | 134.5 | 214.9 | 261.0 | 340.0 | 429.4 | 532.3 | 595.3 | 774.3 | 1012.3 |
| 1995 | 88.6 | 136.0 | 211.1 | 272.9 | 342.0 | 427.7 | 541.3 | 661.7 | 811.4 | 1085.3 |
| 1996 | 87.0 | 150.1 | 214.7 | 279.7 | 359.1 | 433.0 | 556.6 | 699.2 | 882.0 | 1170.7 |
| 1997 | 94.7 | 141.9 | 207.4 | 277.0 | 364.5 | 455.9 | 566.0 | 707.2 | 828.1 | 1174.8 |
| 1998 | 80.1 | 129.8 | 196.4 | 268.2 | 335.7 | 430.7 | 547.2 | 691.3 | 935.0 | 1152.4 |
| 1999 | 70.8 | 123.2 | 177.1 | 233.8 | 321.5 | 424.9 | 540.5 | 675.0 | 898.0 | 1319.9 |
| 2000 | 68.3 | 108.4 | 163.8 | 232.8 | 310.2 | 384.9 | 496.1 | 649.1 | 764.2 | 1137.9 |
| 2001 | 61.8 | 114.7 | 165.8 | 245.2 | 332.4 | 405.2 | 521.9 | 676.2 | 767.2 | 1253.3 |
| 2002 | 68.5 | 118.8 | 175.5 | 238.8 | 320.6 | 425.0 | 554.1 | 731.1 | 905.2 | 1453.3 |
| 2003 | 64.1 | 110.4 | 170.5 | 245.3 | 336.0 | 424.7 | 545.2 | 685.6 | 875.8 | 1030.6 |
| 2004 | 63.8 | 105.3 | 171.8 | 240.0 | 319.7 | 435.9 | 534.6 | 718.6 | 948.0 | 1105.6 |
| 2005 | 52.5 | 110.5 | 159.3 | 232.8 | 315.6 | 435.6 | 549.1 | 722.5 | 963.4 | 1252.9 |
| 2006 | 54.8 | 98.0 | 161.5 | 225.9 | 318.8 | 411.0 | 521.4 | 720.0 | 1003.0 | 1199.8 |
| 2007 | 46.3 | 94.3 | 154.7 | 221.4 | 312.5 | 384.9 | 511.3 | 719.1 | 962.9 | 1112.4 |
| 2008 | 40.2 | 87.9 | 157.6 | 217.3 | 286.5 | 369.2 | 514.4 | 673.3 | 863.4 | 1099.4 |
| 2009 | 39.7 | 85.6 | 142.1 | 201.0 | 284.9 | 365.1 | 499.5 | 650.1 | 876.7 | 1062.3 |
| 2010 | 39.3 | 84.5 | 132.3 | 198.4 | 273.2 | 369.7 | 483.0 | 652.5 | 959.9 | 1142.9 |
| 2011 | 35.7 | 69.4 | 127.2 | 184.8 | 265.2 | 316.0 | 458.6 | 597.1 | 876.5 | 1031.0 |
| 2012 | 36.7 | 67.2 | 116.8 | 179.5 | 241.5 | 324.5 | 400.6 | 555.6 | 836.3 | 1291.0 |
| 2013 | 32.0 | 61.9 | 108.1 | 170.3 | 237.6 | 315.2 | 413.3 | 558.7 | 801.0 | 1249.1 |
| 2014 | 28.4 | 59.5 | 110.1 | 173.2 | 236.4 | 309.3 | 411.6 | 576.3 | 806.9 | 1293.6 |
| 2015 | 30.5 | 55.0 | 103.3 | 162.9 | 245.3 | 315.2 | 427.8 | 617.4 | 840.6 | 1286.2 |
| 2016 | 28.7 | 52.1 | 104.6 | 156.0 | 218.1 | 304.1 | 402.1 | 554.8 | 760.9 | 1160.2 |
| 2017 | 25.5 | 54.5 | 104.2 | 155.4 | 228.5 | 314.0 | 396.7 | 523.78 | 736.39 | 1156.8 |
Table A3.
Acute myocardial infarction crude mortality rates in Romania (1994–2017).
| Year | Women | Men | Total | |||
|---|---|---|---|---|---|---|
| N a | CMR b | Na | CMR b | N a | CMR b | |
| 1994 | 6684 | 57.75 | 13,216 | 118.5 | 19,900 | 87.5 |
| 1995 | 7116 | 61.6 | 13,555 | 121.9 | 20,671 | 91.1 |
| 1996 | 7737 | 67.1 | 14,108 | 127.3 | 21,845 | 96.6 |
| 1997 | 7730 | 67.2 | 14,313 | 129.6 | 22,043 | 97.8 |
| 1998 | 8211 | 71.5 | 13,651 | 124.0 | 21,862 | 97.2 |
| 1999 | 8038 | 70.1 | 13,153 | 119.7 | 21,191 | 94.4 |
| 2000 | 7600 | 66.3 | 12,365 | 112.7 | 19,965 | 89.0 |
| 2001 | 8025 | 70.0 | 13,022 | 118.9 | 21,047 | 93.9 |
| 2002 | 8670 | 78.0 | 13,482 | 127.6 | 22,152 | 102.2 |
| 2003 | 8370 | 75.3 | 13,336 | 126.8 | 21,706 | 100.4 |
| 2004 | 8831 | 79.9 | 13,515 | 129.1 | 22,346 | 103.8 |
| 2005 | 9008 | 82.0 | 13,618 | 130.9 | 22,626 | 105.8 |
| 2006 | 9161 | 83.9 | 13,461 | 130.1 | 22,622 | 106.4 |
| 2007 | 8871 | 81.8 | 13,131 | 127.7 | 22,002 | 104.1 |
| 2008 | 8760 | 82.4 | 12,782 | 127.7 | 21,542 | 104.4 |
| 2009 | 8621 | 81.9 | 12,499 | 126.1 | 21,120 | 103.3 |
| 2010 | 8675 | 83.0 | 12,638 | 128.5 | 21,313 | 105.0 |
| 2011 | 8111 | 78.5 | 11,770 | 120.2 | 19,881 | 98.8 |
| 2012 | 8167 | 78.9 | 11,353 | 116.5 | 19,520 | 97.1 |
| 2013 | 8094 | 79.1 | 11,116 | 113.9 | 19,210 | 96.1 |
| 2014 | 8207 | 80.6 | 11,309 | 116.2 | 19,516 | 98.0 |
| 2015 | 8813 | 86.9 | 11,604 | 119.9 | 20,417 | 103.0 |
| 2016 | 7877 | 78.2 | 10,815 | 112.3 | 18,692 | 94.9 |
| 2017 | 7775 | 77.4 | 10,832 | 112.8 | 18,607 | 94.7 |
a Number of cases; b crude mortality rate per 100,000 person-years.
Table A4.
Acute myocardial infarction age-standardized mortality rates in Romania (1994–2017).
| Year | Women | Men | Total | |||
|---|---|---|---|---|---|---|
| ASMR a | 95% CI | ASMR a | 95% CI | ASMR a | 95% CI | |
| 1994 | 88.3 | 87.6–89.0 | 192.5 | 191.4–193.7 | 134.9 | 134.3–135.6 |
| 1995 | 91.9 | 91.2–92.6 | 198.5 | 197.4–199.7 | 139.3 | 138.7–140.0 |
| 1996 | 101.1 | 100.2–101.7 | 207.7 | 206.5–208.9 | 148.5 | 147.8–149.2 |
| 1997 | 98.4 | 97.7–99.1 | 208.2 | 207.0–209.4 | 147.2 | 146.5–147.8 |
| 1998 | 104.8 | 104.1–105.5 | 201.4 | 200.3–202.6 | 147.8 | 147.1–148.4 |
| 1999 | 102.5 | 101.7–103.2 | 197.2 | 196.1–198.4 | 144.2 | 143.6–144.8 |
| 2000 | 95.9 | 95.2–96.7 | 180.6 | 179.5–181.7 | 133.7 | 133.1–134.3 |
| 2001 | 98.6 | 97.9–99.3 | 189.1 | 188.0–190.2 | 138.6 | 138.0–139.3 |
| 2002 | 108.7 | 107.9–109.4 | 202.8 | 201.7–204.0 | 150.1 | 149.4–150.7 |
| 2003 | 103.0 | 102.3–103.8 | 188.9 | 187.9–190.0 | 141.5 | 140.9–142.1 |
| 2004 | 109.6 | 108.9–110.4 | 192.4 | 191.3–193.4 | 146.7 | 146.1–147.4 |
| 2005 | 108.3 | 107.6–109.1 | 194.9 | 193.8–196.0 | 146.8 | 146.2–147.4 |
| 2006 | 110.1 | 109.4–110.9 | 190.9 | 189.8–192.0 | 146.2 | 145.6–146.8 |
| 2007 | 103.1 | 102.4–103.8 | 183.5 | 182.5–184.5 | 138.9 | 138.3–139.5 |
| 2008 | 99.2 | 98.6–99.9 | 175.8 | 174.8–176.8 | 133.4 | 132.8–134.0 |
| 2009 | 95.8 | 95.1–96.4 | 170.7 | 169.7–171.6 | 129.0 | 128.5–129.6 |
| 2010 | 94.2 | 93.5–94.8 | 172.4 | 171.4–173.3 | 128.6 | 128.1–129.2 |
| 2011 | 85.4 | 84.8–86.0 | 158.0 | 157.0–158.9 | 117.5 | 117.0–118.0 |
| 2012 | 84.6 | 84.0–85.1 | 156.4 | 155.4–157.3 | 116.0 | 115.5–116.5 |
| 2013 | 81.3 | 80.7–81.8 | 152.8 | 151.9–153.7 | 112.4 | 111.9–112.9 |
| 2014 | 80.7 | 80.1–81.2 | 154.1 | 153.2–155.0 | 112.6 | 112.1–113.1 |
| 2015 | 85.5 | 84.9–86.0 | 156.7 | 155.8–157.6 | 116.6 | 116.1–117.1 |
| 2016 | 74.8 | 74.3–75.3 | 144.5 | 143.6–145.4 | 105.2 | 104.7–105.6 |
| 2017 | 73.3 | 72.8–73.8 | 143.5 | 142.7–144.4 | 103.9 | 103.5–104.4 |
a Age Standardized Mortality Rate.
Author Contributions
For the current paper the authors have the following contribution: Conceptualization, S.I., A.S., M.R.P. and S.F.; methodology, S.I. and M.R.P.; software, S.I.; validation, J.T., D.R.D. and S.F.; formal analysis, S.I.; investigation S.I.; resources, S.I.; data curation, M.R.P.; writing—Original draft preparation, S.I.; writing—Review and editing, A.C.P., M.R.P. and S.F.; visualization, A.C.P.; supervision, J.T., S.F. and D.R.D.; project administration S.I. and A.S. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Conflicts of Interest
The authors declare no conflict of interest.
References
- 1.Roth G.A., Abate D., Abate K.H., Abay S.M., Abbafati C., Abbasi N., Abbastabar H., Abd-Allah F., Abdela J., Abdelalim A., et al. Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980–2017: A systematic analysis for the Global Burden of Disease Study 2017. Lancet. 2018;392:1736–1788. doi: 10.1016/S0140-6736(18)32203-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Tatu-Chitoiu G., Cinteza M., Dorobantu M., Udeanu M., Manfrini O., Pizzi C., Vintila M., Ionescu D.D., Craiu E., Burghina D., et al. In-hospital case fatality rates for acute myocardial infarction in Romania. CMAJ. 2009;180:1207–1213. doi: 10.1503/cmaj.081227. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Bordejevic D.A., Caruntu F., Mornos C., Olariu I., Petrescu L., Tomescu M.C., Citu I., Mavrea A., Pescariu S. Prognostic impact of blood pressure and heart rate at admission on in-hospital mortality after primary percutaneous intervention for acute myocardial infarction with ST-segment elevation in western romania. Ther. Clin. Risk Manag. 2017;13:1061–1068. doi: 10.2147/TCRM.S141312. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.UNdata | Record View | Population by Age, Sex and Urban/Rural Residence. [(accessed on 12 December 2019)]; Available online: http://data.un.org/Data.aspx?d=POP&f=tableCode%3A22.
- 5.Pace M., Cayotte E., Agafitei L., Zupanic T., Wojtyniak B., Gissler M. 2013 Edition Revision of the European Standard Population Report of Eurostat’s Task Force. Publications Office of the European Union; Luxembourg: 2013. Methodologies and Working papers. [Google Scholar]
- 6.Cretu D.E., Udroiu C.A., Stoicescu C.I., Tatu-Chitoiu G., Vinereanu D. Predictors of in-Hospital Mortality of ST-Segment Elevation Myocardial Infarction Patients Undergoing Interventional Treatment. An Analysis of Data from the RO-STEMI Registry. Maedica. 2015;10:295–303. [PMC free article] [PubMed] [Google Scholar]
- 7.Puymirat E., Battler A., Birkhead J., Bueno H., Clemmensen P., Cottin Y., Fox K.A., Gorenek B., Hamm C., Huber K., et al. Euro Heart Survey 2009 Snapshot: Regional variations in presentation and management of patients with AMI in 47 countries. Eur. Hear. J. Acute Cardiovasc. Care. 2013;2:359–370. doi: 10.1177/2048872613497341. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Widimsky P., Wijns W., Fajadet J., de Belder M., Knot J., Aaberge L., Andrikopoulos G., Antonio Baz J., Betriu A., Claeys M., et al. Reperfusion therapy for ST elevation acute myocardial infarction in Europe: Description of the current situation in 30 countries. Eur. Heart J. 2010;31:943–957. doi: 10.1093/eurheartj/ehp492. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Tatu-Chitoiu G., Arafat R., Deleanu D., Vinereanu D., Udroiu C., Petris A. Impact of the Romanian national programme for interventional therapy in ST-elevation myocardial infarction. EuroIntervention. 2012;8:P126–P132. doi: 10.4244/EIJV8SPA22. [DOI] [PubMed] [Google Scholar]
- 10.Tubaro M., Danchin N., Goldstein P., Filippatos G., Hasin Y., Heras M., Jansky P., Norekval T.M., Swahn E., Thygesen K., et al. Pre-hospital treatment of STEMI patients. A scientific statement of the Working Group Acute Cardiac Care of the European Society of Cardiology. Acute Card. Care. 2011;13:56–67. doi: 10.3109/17482941.2011.581292. [DOI] [PubMed] [Google Scholar]
- 11.Townsend N., Wilson L., Bhatnagar P., Wickramasinghe K., Rayner M., Nichols M. Cardiovascular disease in Europe: Epidemiological update 2016. Eur. Heart J. 2016;37:3232–3245. doi: 10.1093/eurheartj/ehw334. [DOI] [PubMed] [Google Scholar]
- 12.Rahimi K., Duncan M., Pitcher A., Emdin C.A., Goldacre M.J. Mortality from heart failure, acute myocardial infarction and other ischaemic heart disease in England and Oxford: A trend study of multiple-cause-coded death certification. J. Epidemiol. Community Health. 2015;69:1000–1005. doi: 10.1136/jech-2015-205689. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Orozco-Beltran D., Cooper R.S., Gil-Guillen V., Bertomeu-Martinez V., Pita-Fernandez S., Durazo-Arvizu R., Carratala-Munuera C., Cea-Calvo L., Bertomeu-Gonzalez V., Seoane-Pillado T., et al. Trends in Mortality From Myocardial Infarction. A Comparative Study Between Spain and the United States: 1990–2006. Rev. Española Cardiol. (Engl. Ed. ) 2012;65:1079–1085. doi: 10.1016/j.recesp.2012.02.026. [DOI] [PubMed] [Google Scholar]
- 14.Benjamin E.J., Blaha M.J., Chiuve S.E., Cushman M., Das S.R., Deo R., De Ferranti S.D., Floyd J., Fornage M., Gillespie C., et al. Heart Disease and Stroke Statistics’2017 Update: A Report from the American Heart Association. Circulation. 2017;135:e146–e603. doi: 10.1161/CIR.0000000000000485. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Simionescu N., Niculescu L.S., Sanda G.M., Stancu C.S., Popescu A.C., Popescu M.R., Simionescu M., Dimulescu D.R., Vlad A., Sima A.V. MiR-486 and miR-92a identified in HDL subfractions discriminate between stable and vulnerable coronary artery disease patients. FEBS J. 2015;282:217–218. doi: 10.1371/journal.pone.0140958. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Mihai M., Giurcãneanu C., Popa L., Nitipir C., Popa M. Controversies and challenges of chronic wound infection diagnosis and treatment. Mod. Med. 2015;22:375–381. [Google Scholar]
- 17.Mihai M.M., Dima M.B., Dima B., Holban A.M. Nanomaterials for Wound Healing and Infection Control. Materials. 2019;12:2176. doi: 10.3390/ma12132176. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Dorobantu M., Tautu O.F., Dimulescu D., Sinescu C., Gusbeth-Tatomir P., Arsenescu-Georgescu C., Mitu F., Lighezan D., Pop C., Babes K., et al. Perspectives on hypertension’s prevalence, treatment and control in a high cardiovascular risk East European country: Data from the SEPHAR III survey. J. Hypertens. 2018;36:690–700. doi: 10.1097/HJH.0000000000001572. [DOI] [PubMed] [Google Scholar]
- 19.Dorobanţu M., Darabont R., Ghiorghe S., Arsenescu-Georgescu C., Macarie C., Mitu F., Lighezan D., Musetescu R., Pop C., Ardeleanu E., et al. Hypertension prevalence and control in Romania at a seven-year interval. Comparison of SEPHAR I and II surveys. J. Hypertens. 2014;32:39–47. doi: 10.1097/01.hjh.0000434937.62412.24. [DOI] [PubMed] [Google Scholar]
- 20.Mota M., Popa S.G., Mota E., Mitrea A., Catrinoiu D., Cheta D.M., Guja C., Hancu N., Ionescu-Tirgoviste C., Lichiardopol R., et al. Prevalence of diabetes mellitus and prediabetes in the adult Romanian population: PREDATORR study. J. Diabetes. 2016;8:336–344. doi: 10.1111/1753-0407.12297. [DOI] [PubMed] [Google Scholar]
- 21.Popa S., Moţa M., Popa A., Moţa E., Serafinceanu C., Guja C., Catrinoiu D., Hâncu N., Lichiardopol R., Bala C., et al. Prevalence of overweight/obesity, abdominal obesity and metabolic syndrome and atypical cardiometabolic phenotypes in the adult Romanian population: PREDATORR study. J. Endocrinol. Invest. 2016;39:1045–1053. doi: 10.1007/s40618-016-0470-4. [DOI] [PubMed] [Google Scholar]
- 22.Ioacara S., Guja C., Fica S., Ionescu-Tirgoviste C. The dynamics of life expectancy over the last six decades in elderly people with diabetes. Diabetes Res. Clin. Pract. 2013;99:217–222. doi: 10.1016/j.diabres.2012.10.020. [DOI] [PubMed] [Google Scholar]
- 23.Ioacara S., Guja C., Ionescu-Tirgoviste C., Martin S., Tiu C., Fica S. Rates and Causes of Death among Adult Diabetes Patients in Romania. Endocr. Res. 2019;44:81–86. doi: 10.1080/07435800.2018.1546734. [DOI] [PubMed] [Google Scholar]
- 24.Ioacara S., Sava E., Georgescu O., Sirbu A., Fica S. Recent diabetes-related mortality trends in Romania. Acta Diabetol. 2018;55:821–826. doi: 10.1007/s00592-018-1156-5. [DOI] [PubMed] [Google Scholar]
- 25.Ioacara S., Tiu C., Panea C., Nicolae H., Sava E., Martin S., Fica S. Stroke Mortality Rates and Trends in Romania, 1994–2017. J. Stroke Cerebrovasc. Dis. 2019;28:104431. doi: 10.1016/j.jstrokecerebrovasdis.2019.104431. [DOI] [PubMed] [Google Scholar]