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State-of-the-art Article Contents Epidemiology of sudden cardiac death News and Views 675 Parag Barwad, MD, DM; Nitish Naik, MD, DM Department of Cardiology,All India Institute of Medical Sciences, New Delhi, India Forthcoming Events 677 Abstract Introduction Sudden cardiac death (SCD) is an important cause of cardiovascular morbidity and mortality in both developed and developing countries. Coronary artery disease remains the most important cause for SCD imajority of adults. Other structural cardiac abnormalities including dilated cardiomyopathy, hypertrophic cardiomyopathy and arrhythmogenic right ventricular cardiomyopathy are important diseases associated with SCD. Primary electrical disorders including long QT Syndrome, Brugada syndrome, short QT syndrome, etc are associated with significant risk of SCD. Sudden cardiac death (SCD) is a major cardiovascular health problem which frequently occurs during prime years of life. As coronary artery disease (CAD) is the dominant cause for cardiovascular disease, CAD accounts for more 1–4 than half of deaths due to SCD. Furthermore, since the south Asian population has a high prevalence of coronary risk factors, and have CAD at earlier age compared to developed countries, SCD proportionately occurs in younger individuals.5,6 It has also been estimated that by the end of present decade, 60% of world’s heart disease is expected to occur in India7 and proportionately the incidence and prevalence of SCD is expected to rise. Key Words • Sudden cardiac death • Coronary artery disease • Primary electrical disorders • Ventricular tachycardia Though there has been major advances in cardiopulmonary resuscitation8 and post-resuscitation care, survival to hospital discharge amongst patients of SCD even in the best of centres remain poor.9 In the majority of developing world including India, there does not exists a first responder service of the kind to deliver advance cardiac life support for sudden cardiac arrest patients as in developed nations. Thus, a clear epidemiological picture of SCD in developing nations is lacking. Past few decades have witnessed a tremendous progress towards understanding of SCD and in its prevention and management. Applying this in clinical practice has led to a huge surge in utilization of automated external defibrillator (AED) and implantable cardioverter-defibrilator (ICD). However, SCD still remains a major public health problem as majority of death caused by SCD occurs in population 10,11 with no prior diagnosis of heart disease. Also, risk stratifying an individual based on criteria laid down by clinical trials and cohort study lacks specificity. Received: 26-02-14; Revised: 12-09-14; Accepted: 10-10-14 Disclosures: This article has not received any funding and has no vested commercial interest Acknowledgements: None Please send in your letters to the Editor at [email protected] J. Preventive Cardiology Vol. 4 No. 2 Nov 2014 639 Naik N, et al In 1940’s Dawber and his co-workers pioneered epidemiological and population based approach to investigate cardiovascular disease. Framingham heart study and Seven countries study were the initial studies which provided the community based data on incidence, course and prognosis of cardiovascular disease and also helped us understand the risk factors and pathogenesis of disease.12 Since then the maximum knowledge on SCD including the genetic origin has come from epidemiological studies. n Definition and incidence SCD is unexpected death that occurs within one hour from the start of symptoms when death is witnessed, and within 24 hours of being seen alive and well when it is unwitnessed.13 The majority of SCD’s are not witnessed and if witnessed information is obtained, it is unreliable. Furthermore, in many cases the records are unavailable, autopsies are not performed, and the cause of death given on the death certificate is speculative.2,10,14 The incidence of SCD in the USA ranges from 180,000 to 450,000 cases annually.15 These estimates vary according to the definition applied and the surveillance method used to determine the incidence.15,16 Majority of these estimates are based on retrospective assessment and the assumption that all out of hospital death for which CAD is suspected as a cause are SCD. Such a strategy, though sensitive, lacks specificity and leads to overestimation of the true incidence of SCD. Conversely, restricting the definition of SCD to death within 1 hour of symptom onset will lead to underestimation of incidence.17–19 Thus multiple sources of ascertainment are required to determine the true incidence of SCD. Recent prospective studies from the United States,20,21 Ireland22 and China23 have shown incidences of SCD to range from 50 to 100 per 100,000 in general population. Furthermore, SCD occurred in 6.8% of patients in Framingham Heart Study and 4.4% of patients in Paris Prospective Study.24–26 Prevalence study from southern India shows10%–17% of total deaths to be caused by SCD with CAD contributing to 75% of SCD’s.27 Although improvement in the primary and secondary prevention strategies have resulted in significant reduction in CAD related mortality28 in the developed nations, SCD rate has not declined substantially.25,29–31 This is because in hospital mortality has declined more rapidly than out of hospital mortality. Therefore, SCD now accounts for >50% of cardiovascular mortality.29 As no such declining trend in CAD related mortality is seen in India, but on the contrary shows a rising trend, SCD related deaths are projected to rise in future. 640 n Demographic features The age distribution of SCD demonstrate peak during infancy and after the age of 45 years. Age is the principal determinant of incidence of SCD irrespective of sex and race. This is because it mirrors the risk of CAD with increasing age.11,21 For example, incidence for 50-year-old men is 100 per 100000 when compared with 800 per 100000 for 75-year-old.32 In younger population (<30 years of age), however, the common causes of SCD are cardiomyopathies, coronary anomalies, arrhythmogenic disorders, and drug abuse rather than CAD.33 At any age women have a lesser incidence of SCD than men, even after adjustment of CAD risk factors.34,35 This difference in mortality decreases with increasing age, probably related to post menopausal increase in CAD in women. The overall decline in SCD rate in developed nation is less amongst women, particularly in younger age group. This is probably because of lower overall burden of CAD in women.36–38 In addition, in survivors of SCD, women are found to have more structurally normal heart.39,40 Racial difference in the incidence of SCD is not thoroughly investigated. The available data from death certificate suggest that, for both sexes, SCD is more among black American population than white population.29,31 Black patients suffering from SCD are less likely to survive after hospital discharge post cardiopulmonary resuscitation (CPR) compared to white population.41 Blacks are also more likely to have unwitnessed arrest with unfavorable rhythm such as pulseless electrical activity at the time of arrest.32,37 This disparity in racial outcome is partly contributed by socioeconomic influence and not purely because of genetic predisposition. Temporality and rhythm variation Around 80% of all SCD’s occur at home and 60% of it is unwitnessed.36,42–44 Subsequently, the proportion of patients receiving CPR after a SCD is less as this is more likely to occur in public. Studies have also shown that SCD’s are predominantly seen on Monday and are concentrated during early hours of day (05:00 a.m. to 09:00 a.m.).45–48 These variations are related to increased adrenergic drive during the period. Rhythm abnormality thought to cause SCD is predominantly ventricular tachyarrhythmia. In a study evaluating the rhythm abnormality in patients of SCD found 70% of them having ventricular tachycardia or fibrillation if detected within 3 min of cardiac arrest which declines to 43% if detected later in the event.49 The other rhythms found in patients are asystole in 18% and pulseless J. Preventive Cardiology Vol. 4 No. 2 Nov 2014 Epidemiology of SCD electrical activity in 11%. A recent study has shown a trend towards reduction in the incidence of ventricular tachyarrhythmias (contributing to 41% of SCD events).50 The reason for this change is conjectural and may be related to aging of population with higher prevalence of death due to heart failure and less due to SCD. Pathophysiology of SCD Pathophysiology of SCD is complex and involves an interaction between the baseline substrate for SCD and the inciting event. This leads to the electrical instability in the myocardium culminating in final common pathway of ventricular tachyarrhythmia and cardiovascular collapse. A variety of risk factors are proposed with CAD contributing upto 75% of SCD.36,51–53 Other disease contributing to SCD are cardiomyopathies (dilated or hypertrophied), arrhythmogenic right ventricular cardiomyopathy, primary electrical disorder of heart (channelopathies).51 In around 5% of patients even after detailed evaluation and autopsy, the cause and mechanism of SCD cannot be ascertained.39,54,55 CAD predisposes to SCD by three principal mechanisms: (1) acute myocardial infarction, (2) ischemia of myocardium, (3) ventricular remodelling and scar formation. Mechanism of SCD in myocardial infarction Acute ST elevation myocardial infarction (MI) is associated with SCD. The risk of SCD in acute MI is maximum during the first 30 days and this gradually decreases with time.56–58 Among the survivors of MI who have left ventricular dysfunction the risk of SCD is reported to be 1.4% in the initial 30 days and declines to 0.14% per month after 2 years.57 In population based studies, the risk of SCD after a MI is 1.2% in the first month and exceeds the overall population risk markedly.56 Thereafter, the risk of SCD declines to 1.25% per year. This decline is attributable to application of secondary prevention strategies which are widely applied in developed nations. Arrhythmias occurring during the initial 24 hours of MI are not considered predictor of SCD. But this concept has now been challenged.59 A study demonstrated worse outcomes in patients with both early and late ventricular arrhythmias. Therefore, it is now recommended to assess for ventricular function 6 weeks after MI to assess need for primary prevention with an ICD. It has also been shown that ventricular tachycardia induced during programmed electrical stimulation after MI done for risk stratification also predicts risk for SCD and these patients may benefit from ICD implantation.60 J. Preventive Cardiology Vol. 4 No. 2 Nov 2014 Epidemiology of SCD in patients with MI has changed significantly in the past few decades. The incidence of SCD has decreased in parallel to decline in the CAD related mortality. Study of 1980s have shown 10% of MI survivors dying suddenly in the subsequent four years.61 This proportion has declined to less than 1% per year in patients receiving appropriate secondary prevention strategy and revascularization procedure. Moreover, in earlier studies 40–50% of post MI deaths61,62 were because of SCD but the proportion has declined to 20–30% in present contemporary studies.56,63,64 Magnitude of risk for SCD changes over time in patients after MI. The various determinants are LV remodeling, anatomical and electrophysiological properties of myocardial scar and progression of CAD.65 The risk of SCD beyond the first 30 days after MI is markedly increased by the presence of concomitant heart failure and ischemic events.46,62,64,66,67 n Risk factors of SCD Clinical risk predictors CAD contributes predominantly to the population of SCD. In fact, in around 50% of patients with CAD, the first clinical manifestation is a SCD.36 The risk factors for SCD are also predictors of CAD-related death and all-cause mortality.65 The various risk factors common to both CAD and SCD are older age, male sex, cigarette smoking, hypertension, diabetes mellitus, hypercholesterolemia, obesity, and family history of CAD.10,67,68–70 These risk factors are powerful predictors at a population level; they are not specific enough to determine risk in an individual patient because of relatively low event rates (i.e., low absolute risk). Additional risk factors, such as left ventricular hypertrophy, left ventricular dysfunction, heart failure, poor functional status, elevated heart rate, an abnormal electrocardiogram, and abnormal autonomic markers, also lack the specificity to discriminate SCD from other noncardiac death.3,10,71–74 Those who are high risk of arrhythmias contribute to only a very small proportion of SCD.13 Thus identification of an individual at high risk of SCD requires multimarker strategy. A multivariable risk algorithm has been proposed for risk stratifying individuals for SCD.71,72 The variable taken into consideration are age, history of heart failure, LV ejection fraction, ventricular arrhythmias, functional class, and presence of atrial fibrillation. However, the performance of these algorithms for predicting SCD has not been evaluated in any prospective studies. 641 Naik N, et al In 1940’s Dawber and his co-workers pioneered epidemiological and population based approach to investigate cardiovascular disease. Framingham heart study and Seven countries study were the initial studies which provided the community based data on incidence, course and prognosis of cardiovascular disease and also helped us understand the risk factors and pathogenesis of disease.12 Since then the maximum knowledge on SCD including the genetic origin has come from epidemiological studies. n Definition and incidence SCD is unexpected death that occurs within one hour from the start of symptoms when death is witnessed, and within 24 hours of being seen alive and well when it is unwitnessed.13 The majority of SCD’s are not witnessed and if witnessed information is obtained, it is unreliable. Furthermore, in many cases the records are unavailable, autopsies are not performed, and the cause of death given on the death certificate is speculative.2,10,14 The incidence of SCD in the USA ranges from 180,000 to 450,000 cases annually.15 These estimates vary according to the definition applied and the surveillance method used to determine the incidence.15,16 Majority of these estimates are based on retrospective assessment and the assumption that all out of hospital death for which CAD is suspected as a cause are SCD. Such a strategy, though sensitive, lacks specificity and leads to overestimation of the true incidence of SCD. Conversely, restricting the definition of SCD to death within 1 hour of symptom onset will lead to underestimation of incidence.17–19 Thus multiple sources of ascertainment are required to determine the true incidence of SCD. Recent prospective studies from the United States,20,21 Ireland22 and China23 have shown incidences of SCD to range from 50 to 100 per 100,000 in general population. Furthermore, SCD occurred in 6.8% of patients in Framingham Heart Study and 4.4% of patients in Paris Prospective Study.24–26 Prevalence study from southern India shows10%–17% of total deaths to be caused by SCD with CAD contributing to 75% of SCD’s.27 Although improvement in the primary and secondary prevention strategies have resulted in significant reduction in CAD related mortality28 in the developed nations, SCD rate has not declined substantially.25,29–31 This is because in hospital mortality has declined more rapidly than out of hospital mortality. Therefore, SCD now accounts for >50% of cardiovascular mortality.29 As no such declining trend in CAD related mortality is seen in India, but on the contrary shows a rising trend, SCD related deaths are projected to rise in future. 640 n Demographic features The age distribution of SCD demonstrate peak during infancy and after the age of 45 years. Age is the principal determinant of incidence of SCD irrespective of sex and race. This is because it mirrors the risk of CAD with increasing age.11,21 For example, incidence for 50-year-old men is 100 per 100000 when compared with 800 per 100000 for 75-year-old.32 In younger population (<30 years of age), however, the common causes of SCD are cardiomyopathies, coronary anomalies, arrhythmogenic disorders, and drug abuse rather than CAD.33 At any age women have a lesser incidence of SCD than men, even after adjustment of CAD risk factors.34,35 This difference in mortality decreases with increasing age, probably related to post menopausal increase in CAD in women. The overall decline in SCD rate in developed nation is less amongst women, particularly in younger age group. This is probably because of lower overall burden of CAD in women.36–38 In addition, in survivors of SCD, women are found to have more structurally normal heart.39,40 Racial difference in the incidence of SCD is not thoroughly investigated. The available data from death certificate suggest that, for both sexes, SCD is more among black American population than white population.29,31 Black patients suffering from SCD are less likely to survive after hospital discharge post cardiopulmonary resuscitation (CPR) compared to white population.41 Blacks are also more likely to have unwitnessed arrest with unfavorable rhythm such as pulseless electrical activity at the time of arrest.32,37 This disparity in racial outcome is partly contributed by socioeconomic influence and not purely because of genetic predisposition. Temporality and rhythm variation Around 80% of all SCD’s occur at home and 60% of it is unwitnessed.36,42–44 Subsequently, the proportion of patients receiving CPR after a SCD is less as this is more likely to occur in public. Studies have also shown that SCD’s are predominantly seen on Monday and are concentrated during early hours of day (05:00 a.m. to 09:00 a.m.).45–48 These variations are related to increased adrenergic drive during the period. Rhythm abnormality thought to cause SCD is predominantly ventricular tachyarrhythmia. In a study evaluating the rhythm abnormality in patients of SCD found 70% of them having ventricular tachycardia or fibrillation if detected within 3 min of cardiac arrest which declines to 43% if detected later in the event.49 The other rhythms found in patients are asystole in 18% and pulseless J. Preventive Cardiology Vol. 4 No. 2 Nov 2014 Epidemiology of SCD electrical activity in 11%. A recent study has shown a trend towards reduction in the incidence of ventricular tachyarrhythmias (contributing to 41% of SCD events).50 The reason for this change is conjectural and may be related to aging of population with higher prevalence of death due to heart failure and less due to SCD. Pathophysiology of SCD Pathophysiology of SCD is complex and involves an interaction between the baseline substrate for SCD and the inciting event. This leads to the electrical instability in the myocardium culminating in final common pathway of ventricular tachyarrhythmia and cardiovascular collapse. A variety of risk factors are proposed with CAD contributing upto 75% of SCD.36,51–53 Other disease contributing to SCD are cardiomyopathies (dilated or hypertrophied), arrhythmogenic right ventricular cardiomyopathy, primary electrical disorder of heart (channelopathies).51 In around 5% of patients even after detailed evaluation and autopsy, the cause and mechanism of SCD cannot be ascertained.39,54,55 CAD predisposes to SCD by three principal mechanisms: (1) acute myocardial infarction, (2) ischemia of myocardium, (3) ventricular remodelling and scar formation. Mechanism of SCD in myocardial infarction Acute ST elevation myocardial infarction (MI) is associated with SCD. The risk of SCD in acute MI is maximum during the first 30 days and this gradually decreases with time.56–58 Among the survivors of MI who have left ventricular dysfunction the risk of SCD is reported to be 1.4% in the initial 30 days and declines to 0.14% per month after 2 years.57 In population based studies, the risk of SCD after a MI is 1.2% in the first month and exceeds the overall population risk markedly.56 Thereafter, the risk of SCD declines to 1.25% per year. This decline is attributable to application of secondary prevention strategies which are widely applied in developed nations. Arrhythmias occurring during the initial 24 hours of MI are not considered predictor of SCD. But this concept has now been challenged.59 A study demonstrated worse outcomes in patients with both early and late ventricular arrhythmias. Therefore, it is now recommended to assess for ventricular function 6 weeks after MI to assess need for primary prevention with an ICD. It has also been shown that ventricular tachycardia induced during programmed electrical stimulation after MI done for risk stratification also predicts risk for SCD and these patients may benefit from ICD implantation.60 J. Preventive Cardiology Vol. 4 No. 2 Nov 2014 Epidemiology of SCD in patients with MI has changed significantly in the past few decades. The incidence of SCD has decreased in parallel to decline in the CAD related mortality. Study of 1980s have shown 10% of MI survivors dying suddenly in the subsequent four years.61 This proportion has declined to less than 1% per year in patients receiving appropriate secondary prevention strategy and revascularization procedure. Moreover, in earlier studies 40–50% of post MI deaths61,62 were because of SCD but the proportion has declined to 20–30% in present contemporary studies.56,63,64 Magnitude of risk for SCD changes over time in patients after MI. The various determinants are LV remodeling, anatomical and electrophysiological properties of myocardial scar and progression of CAD.65 The risk of SCD beyond the first 30 days after MI is markedly increased by the presence of concomitant heart failure and ischemic events.46,62,64,66,67 n Risk factors of SCD Clinical risk predictors CAD contributes predominantly to the population of SCD. In fact, in around 50% of patients with CAD, the first clinical manifestation is a SCD.36 The risk factors for SCD are also predictors of CAD-related death and all-cause mortality.65 The various risk factors common to both CAD and SCD are older age, male sex, cigarette smoking, hypertension, diabetes mellitus, hypercholesterolemia, obesity, and family history of CAD.10,67,68–70 These risk factors are powerful predictors at a population level; they are not specific enough to determine risk in an individual patient because of relatively low event rates (i.e., low absolute risk). Additional risk factors, such as left ventricular hypertrophy, left ventricular dysfunction, heart failure, poor functional status, elevated heart rate, an abnormal electrocardiogram, and abnormal autonomic markers, also lack the specificity to discriminate SCD from other noncardiac death.3,10,71–74 Those who are high risk of arrhythmias contribute to only a very small proportion of SCD.13 Thus identification of an individual at high risk of SCD requires multimarker strategy. A multivariable risk algorithm has been proposed for risk stratifying individuals for SCD.71,72 The variable taken into consideration are age, history of heart failure, LV ejection fraction, ventricular arrhythmias, functional class, and presence of atrial fibrillation. However, the performance of these algorithms for predicting SCD has not been evaluated in any prospective studies. 641 Naik N, et al Post-mortem analyses in patients of SCD Autopsy studies in patients with SCD have shown 80% of patients having concomitant CAD.10,75 Predominant findings are intracoronary complicated plaque (rupture with or without thrombus formation) and myocardial scar.75,76 These findings suggest an acute coronary event or a previous MI causing scar as a substrate for tachyarrhythmia and SCD. Other uncommon findings are interstitial fibrosis, infiltration (amyloid deposition), inflammation, and ventricular hypertrophy.77,78 However, in 5–10% of cases of SCD the cause cannot be determined even after autopsy analysis.2,3,10 Heart failure Overall, as the average survival age is increasing and quality of medical care is improving, the proportion of patients with advanced age with multiple comorbidities is increasing. In the US, 5 million suffer from heart failure with around 600,000 are added to the count every year.79 Progressive heart failure causes remodeling, leading to structural and electrical changes in the myocardium and neuro-hormonal activation. This causes inhomogeneity and thus leading to substrate for arrhythmogenesis.80 Clinical heart failure increases the risk of SCD by 5 fold and SCD accounts for 30–50% of all deaths in heart failure patients.81 But, as the age advances, the proportion of deaths by SCD decreases and patients dying of progressive heart failure increases. It has been observed that 63% of patients with mild heart failure die of SCD as opposed to 33% with advanced heart failure.13 Severe LV dysfunction, irrespective of the cause is a major predictor of risk to SCD.82 Thus, LV function <35% is an important criteria for ICD implantation for primary prevention of SCD. It has been observed that only 20–30% of ICD recipients receive appropriate shocks during 4 years of prospective followup. While, in population studies >60% of patients suffering SCD are found to have either normal LV function or mild LV dysfunction.83,84 This decreases the overall predictive efficacy of LV function as a risk marker of SCD. Electrical predictors of SCD Various abnormalities on 12 lead electrocardiogram have been detected which can act as a marker of an underlying heart disease and may help predict risk of SCD. Pathological Q waves are a marker of underlying CAD and dynamic ST, T changes suggest myocardium at high risk of infarction. R wave amplitude and QRS duration is marker of Left Ventricular hypertrophy (LVH) or an underlying cardiomyopathy. Left bundle branch block and LVH are associated with 1.5 times increased risk of SCD.73,85 Total 642 QRS duration and fragmented QRS are also found to be associated with increased risk of SCD.86–88 Primary arrhythmogenic disorders such as long and short QT syndromes, Brugada syndrome, arhhythmogenic right ventricular cardiomyoapathy (ARVC), catecholaminergic polymorphic ventricular tachycardia (CPVT), WolfParkinson-White (WPW) are diagnosed primarily based on their ECG features. These disorders are rare in the community but recognizing them by a simple and noninvasive test has a large bearing at an individual level. QT interval irrespective of the age, sex, heart rate, drug used, and diagnosis of long or short QT syndromes is a marker of SCD. The corrected QT interval >440 msec increases the risk of SCD 2.3 times compared to those with corrected QT interval <440 msec.89 And, in the absence of drugs causing QT prolongation this risk increases by 5 folds.90 Other markers of risk identified on ECG are late potentials on signal averaged ECG, microvolt T wave alternans, reduced heart rate variability on holter monitoring and abnormal heart rate profile on exercise ECG.59,91,92 But these markers lack specificity while assessing risk for SCD. Socioeconomic and psychosocial risk predictors The prevalence of cardiovascular diseases, CAD, and its mortality is high in low socioeconomic countries.93 The incidence of out-of-hospital cardiac arrest and SCD are also higher in areas of socioeconomic deprivation than in more affluent areas.2,94,95 Various factors influence the association between low socioeconomic status and SCD. These are probably related to lower access to health facility, increased smoking, genetic influences to CAD, and behavioral influences. Psychological factors associated with SCD are lifestyle changes, increased stress in life, and social isolation.9,96 Moreover, history of psychiatric disease is also associated with increased risk of SCD.97 Genetic risk predictors Research in the recent years has seen major advancements in the field of genetic determinants of SCD.26,98–100 Genetic basis of primary arrhythmogenic disorders such as LQTs has been recognized since long. But, application of knowledge of recent research in genetics and genome wide analysis (Human Genome Project) has provided the foundation to identify novel genes and biological pathways implicated in conduction system disease, cardiac arrhythmias, and SCD. It has been shown that the risk of SCD is twice higher in an individual with one of the parents dying suddenly and it increases to nine-fold if both patients had SCD.26 These effects are independent of the history of MI in parents. To some extent it has been shown that SCD is J. Preventive Cardiology Vol. 4 No. 2 Nov 2014 Epidemiology of SCD an expression of underlying coronary heart disease, hereditary factors that contribute to coronary heart disease risk operate non-specifically for the SCD syndrome. But it has also been shown that family history of SCD and the cumulative ST deviation are the only two differences between patients who had SCD with MI compared to those who had SCD without MI.98 This suggests that the heritable risk factors play an important role in determining the risk for SCD irrespective of the CAD risk factors. Furthermore, the strength of association to SCD increases with increasing number of relatives affected by SCD. This is because of the complex genetic architecture, in which susceptibility alleles increase risk additively.101 In a recent review, Noteworthy et al. describes the genetic contribution to SCD either by rare variants with strong effects, rare variants with modest effects, or common variants with modest effects.92 Rare variants with strong effect are identified in genes associated with very uncommon inherited cardiac disease but with very high risk of ventricular tachyarrhythmia’s and SCD. These include disease like long and short QT syndromes, Brugada syndrome and catecholaminergic polymorphic VT.92 However, these mutations are subjected to inherent negative selection, thus does not contribute significantly to the burden of disease at population level.92,101 Rare variant with modest effect are less malignant variants associated with disease like long QT syndrome. They increase the susceptibility to arrhythmia in general population. Mutation in gene KCNH2 (HERG) which encodes for voltage gated potassium channel is found in around 16% of patients suffering SCD.102 Similar result was shown in another study where 30% of patients suffering SCD were found to have mutation linked to LQTs and 14% of patients having mutation related to Ryanodine receptor gene (RYR2).103,104 Nurses’ health study also shows 10% prevalence of SCN5A mutation in patients suffering SCD.105 However, community based study shows a lower prevalence of only 6% in SCN5A mutation in patients suffering SCD. These data support the concept that rare variants with modest effects might not produce an identifiable clinical syndrome in isolation, but could predispose the individual to acquired long QT syndrome and SCD after exposure to a secondary risk factor, such as a QT-interval-prolonging medication.92 The common variant with modest effect is most prevalent in general population. This variant contributes increasingly to the SCD risk at population level. As this variant remains unaffected by negative selection and can reach relatively high allele frequency in the population. For example the S1102Y variant of the SCN5A was found in 57% of black J. Preventive Cardiology Vol. 4 No. 2 Nov 2014 patients with a history of arrhythmia, syncope, and QT prolongation versus on in 13% of healthy control individuals.106 Common genetic variants in isolation are unlikely to cause SCD, these variants contribute only incrementally to the overall risk of SCD by reducing “repolarization reserve” and predisposing some individuals to SCD through interactions with other risk factors such as ischemia, hypokalemia, or drug exposure. As discussed above, genes for QT prolongation has been consistently associated with risk of SCD in population.10,107 While QT interval adjusted for age, sex, and heart rate is normally distributed in general population, 35% of its interval variability is attributable to genetic factors.108 The common variants such as KCNH2 and NOS1AP influences QT interval duration. However, these variants have a modest effect on QT interval at baseline (6 to 12 ms) and an external influence is necessary to prolong the QT interval to a degree where the SCD risk increases substantially. Thus, inheritable factors are partly involved in the pathogenesis of SCD and the genetic basis of these events is multifactorial and potentially includes the genetics of atherothrombosis and plaque stability, among other factors significantly contributing to SCD.109,110 Triggers for SCD Occurrence of SCD requires a complex interplay between the substrate for SCD and its triggering factors which could be an external or internal trigger. As the majority of SCD are unwitnessed the possible triggers to the SCD are difficult to identify, while abnormal substrate can be determined in most by ante-mortem or post-mortem analysis. In witnessed SCD the predominant symptoms prior to SCD are angina, dyspnea, syncope, nausea, vomiting, and sense of not feeling well.36,42 A study has shown cigarette smoking and analgesic use as an important trigger prior to SCD.111 Possible mechanism by which cigarette smoking leads to SCD are increased platelet aggregation, catecholamine surge, coronary spasm, plaque rupture, and increased thrombogenic milieu.112,113 The uses of analgesic and anti-inflammatory drugs prior to SCD are probably linked to their sense of feeling unwell. Another study has shown a lag period of almost 75 min between symptom onset and SCD when the episodes have occurred out of hospital.42 This underscores the importance of public awareness of the cardiovascular disease and the warning signs and symptoms of SCD, especially in patients with structural heart disease. n Role of public access defibrillators Time is the prime determinant of survival in patients 643 Naik N, et al Post-mortem analyses in patients of SCD Autopsy studies in patients with SCD have shown 80% of patients having concomitant CAD.10,75 Predominant findings are intracoronary complicated plaque (rupture with or without thrombus formation) and myocardial scar.75,76 These findings suggest an acute coronary event or a previous MI causing scar as a substrate for tachyarrhythmia and SCD. Other uncommon findings are interstitial fibrosis, infiltration (amyloid deposition), inflammation, and ventricular hypertrophy.77,78 However, in 5–10% of cases of SCD the cause cannot be determined even after autopsy analysis.2,3,10 Heart failure Overall, as the average survival age is increasing and quality of medical care is improving, the proportion of patients with advanced age with multiple comorbidities is increasing. In the US, 5 million suffer from heart failure with around 600,000 are added to the count every year.79 Progressive heart failure causes remodeling, leading to structural and electrical changes in the myocardium and neuro-hormonal activation. This causes inhomogeneity and thus leading to substrate for arrhythmogenesis.80 Clinical heart failure increases the risk of SCD by 5 fold and SCD accounts for 30–50% of all deaths in heart failure patients.81 But, as the age advances, the proportion of deaths by SCD decreases and patients dying of progressive heart failure increases. It has been observed that 63% of patients with mild heart failure die of SCD as opposed to 33% with advanced heart failure.13 Severe LV dysfunction, irrespective of the cause is a major predictor of risk to SCD.82 Thus, LV function <35% is an important criteria for ICD implantation for primary prevention of SCD. It has been observed that only 20–30% of ICD recipients receive appropriate shocks during 4 years of prospective followup. While, in population studies >60% of patients suffering SCD are found to have either normal LV function or mild LV dysfunction.83,84 This decreases the overall predictive efficacy of LV function as a risk marker of SCD. Electrical predictors of SCD Various abnormalities on 12 lead electrocardiogram have been detected which can act as a marker of an underlying heart disease and may help predict risk of SCD. Pathological Q waves are a marker of underlying CAD and dynamic ST, T changes suggest myocardium at high risk of infarction. R wave amplitude and QRS duration is marker of Left Ventricular hypertrophy (LVH) or an underlying cardiomyopathy. Left bundle branch block and LVH are associated with 1.5 times increased risk of SCD.73,85 Total 642 QRS duration and fragmented QRS are also found to be associated with increased risk of SCD.86–88 Primary arrhythmogenic disorders such as long and short QT syndromes, Brugada syndrome, arhhythmogenic right ventricular cardiomyoapathy (ARVC), catecholaminergic polymorphic ventricular tachycardia (CPVT), WolfParkinson-White (WPW) are diagnosed primarily based on their ECG features. These disorders are rare in the community but recognizing them by a simple and noninvasive test has a large bearing at an individual level. QT interval irrespective of the age, sex, heart rate, drug used, and diagnosis of long or short QT syndromes is a marker of SCD. The corrected QT interval >440 msec increases the risk of SCD 2.3 times compared to those with corrected QT interval <440 msec.89 And, in the absence of drugs causing QT prolongation this risk increases by 5 folds.90 Other markers of risk identified on ECG are late potentials on signal averaged ECG, microvolt T wave alternans, reduced heart rate variability on holter monitoring and abnormal heart rate profile on exercise ECG.59,91,92 But these markers lack specificity while assessing risk for SCD. Socioeconomic and psychosocial risk predictors The prevalence of cardiovascular diseases, CAD, and its mortality is high in low socioeconomic countries.93 The incidence of out-of-hospital cardiac arrest and SCD are also higher in areas of socioeconomic deprivation than in more affluent areas.2,94,95 Various factors influence the association between low socioeconomic status and SCD. These are probably related to lower access to health facility, increased smoking, genetic influences to CAD, and behavioral influences. Psychological factors associated with SCD are lifestyle changes, increased stress in life, and social isolation.9,96 Moreover, history of psychiatric disease is also associated with increased risk of SCD.97 Genetic risk predictors Research in the recent years has seen major advancements in the field of genetic determinants of SCD.26,98–100 Genetic basis of primary arrhythmogenic disorders such as LQTs has been recognized since long. But, application of knowledge of recent research in genetics and genome wide analysis (Human Genome Project) has provided the foundation to identify novel genes and biological pathways implicated in conduction system disease, cardiac arrhythmias, and SCD. It has been shown that the risk of SCD is twice higher in an individual with one of the parents dying suddenly and it increases to nine-fold if both patients had SCD.26 These effects are independent of the history of MI in parents. To some extent it has been shown that SCD is J. Preventive Cardiology Vol. 4 No. 2 Nov 2014 Epidemiology of SCD an expression of underlying coronary heart disease, hereditary factors that contribute to coronary heart disease risk operate non-specifically for the SCD syndrome. But it has also been shown that family history of SCD and the cumulative ST deviation are the only two differences between patients who had SCD with MI compared to those who had SCD without MI.98 This suggests that the heritable risk factors play an important role in determining the risk for SCD irrespective of the CAD risk factors. Furthermore, the strength of association to SCD increases with increasing number of relatives affected by SCD. This is because of the complex genetic architecture, in which susceptibility alleles increase risk additively.101 In a recent review, Noteworthy et al. describes the genetic contribution to SCD either by rare variants with strong effects, rare variants with modest effects, or common variants with modest effects.92 Rare variants with strong effect are identified in genes associated with very uncommon inherited cardiac disease but with very high risk of ventricular tachyarrhythmia’s and SCD. These include disease like long and short QT syndromes, Brugada syndrome and catecholaminergic polymorphic VT.92 However, these mutations are subjected to inherent negative selection, thus does not contribute significantly to the burden of disease at population level.92,101 Rare variant with modest effect are less malignant variants associated with disease like long QT syndrome. They increase the susceptibility to arrhythmia in general population. Mutation in gene KCNH2 (HERG) which encodes for voltage gated potassium channel is found in around 16% of patients suffering SCD.102 Similar result was shown in another study where 30% of patients suffering SCD were found to have mutation linked to LQTs and 14% of patients having mutation related to Ryanodine receptor gene (RYR2).103,104 Nurses’ health study also shows 10% prevalence of SCN5A mutation in patients suffering SCD.105 However, community based study shows a lower prevalence of only 6% in SCN5A mutation in patients suffering SCD. These data support the concept that rare variants with modest effects might not produce an identifiable clinical syndrome in isolation, but could predispose the individual to acquired long QT syndrome and SCD after exposure to a secondary risk factor, such as a QT-interval-prolonging medication.92 The common variant with modest effect is most prevalent in general population. This variant contributes increasingly to the SCD risk at population level. As this variant remains unaffected by negative selection and can reach relatively high allele frequency in the population. For example the S1102Y variant of the SCN5A was found in 57% of black J. Preventive Cardiology Vol. 4 No. 2 Nov 2014 patients with a history of arrhythmia, syncope, and QT prolongation versus on in 13% of healthy control individuals.106 Common genetic variants in isolation are unlikely to cause SCD, these variants contribute only incrementally to the overall risk of SCD by reducing “repolarization reserve” and predisposing some individuals to SCD through interactions with other risk factors such as ischemia, hypokalemia, or drug exposure. As discussed above, genes for QT prolongation has been consistently associated with risk of SCD in population.10,107 While QT interval adjusted for age, sex, and heart rate is normally distributed in general population, 35% of its interval variability is attributable to genetic factors.108 The common variants such as KCNH2 and NOS1AP influences QT interval duration. However, these variants have a modest effect on QT interval at baseline (6 to 12 ms) and an external influence is necessary to prolong the QT interval to a degree where the SCD risk increases substantially. Thus, inheritable factors are partly involved in the pathogenesis of SCD and the genetic basis of these events is multifactorial and potentially includes the genetics of atherothrombosis and plaque stability, among other factors significantly contributing to SCD.109,110 Triggers for SCD Occurrence of SCD requires a complex interplay between the substrate for SCD and its triggering factors which could be an external or internal trigger. As the majority of SCD are unwitnessed the possible triggers to the SCD are difficult to identify, while abnormal substrate can be determined in most by ante-mortem or post-mortem analysis. In witnessed SCD the predominant symptoms prior to SCD are angina, dyspnea, syncope, nausea, vomiting, and sense of not feeling well.36,42 A study has shown cigarette smoking and analgesic use as an important trigger prior to SCD.111 Possible mechanism by which cigarette smoking leads to SCD are increased platelet aggregation, catecholamine surge, coronary spasm, plaque rupture, and increased thrombogenic milieu.112,113 The uses of analgesic and anti-inflammatory drugs prior to SCD are probably linked to their sense of feeling unwell. Another study has shown a lag period of almost 75 min between symptom onset and SCD when the episodes have occurred out of hospital.42 This underscores the importance of public awareness of the cardiovascular disease and the warning signs and symptoms of SCD, especially in patients with structural heart disease. n Role of public access defibrillators Time is the prime determinant of survival in patients 643 Naik N, et al experiencing SCD. With every minute that passes between the SCD and defibrillation the survival rate decreases by 3–4% in patients receiving CPR and 7–10% those with no CPR.114 Thus, the overall survival in patients of SCD is 5–10 % in countries like USA where the average response time for emergency medical service is 8–15 min. For patients who are defibrillated within 10 min of SCD have a survival rate up to 40% and long term survival equals age and gender matched general population. Automated external defibrillators (AED’s) are computerized devices programmed to analyze the cardiac rhythm and deliver shock in case of ventricular tachycardia and fibrillation. These devises can be applied at public places and are easy to operate even by an untrained layman.115,116 In Public Access Defibrillation Trial, multiple volunteers from public were trained in CPR or CPR with AED use. AEDs were made available at various public sites like shopping malls, apartment complex, entertainment complex, etc. Individuals who suffered a SCD and received resuscitation with CPR and AED were twice more likely to survive compared to those resuscitated with only CPR.117 In developed nation like US, AEDs are applied at all federal building, airports and are also recommended at health and fitness facilities and schools. No such law regulating the use of AEDs in India is operational or is in pipeline. References n 1. Zheng ZJ, Croft JB, Giles WH, Mensah GA. Sudden cardiac death in the United States, 1989 to 1998. Circulation. 2001:104:2158–63. 2. Chugh SS, Reinier K, Teodorescu C, Evanado A, Kehr E, Al Samara M, et al. Epidemiology of sudden cardiac death: Clinical and research implications. Prog Cardiovasc Dis. 2008;51:213–28. 3. Zipes DP, Wellens HJ. Sudden cardiac death. Circulation. 1998;98:2334–51. 4. Engdahl J, Holmberg M, Karlson BW, Luepker R, Herlitz J. The epidemiology of out-of-hospital ‘sudden’ cardiac arrest. Resuscitation. 2002;52:235–45. 5. Joshi P, Islam S, Pais P, Reddy S, Dorairaj P, Kazmi K, et al. Risk factors for early myocardial infarction in South Asians compared with individuals in other countries. JAMA. 2007;297:286–94. 6. Ghaffar A, Reddy KS, Singhi M. Burden of non-communicable diseases in South Asia. BMJ. 2004;328:807–10. 7. Mohan V, Deepa R, Rani SS, Premalatha G. Prevalence of coronary artery disease and its relationship to lipids in a selected population in South India. The Chennai Urban population study (CUPS No 5). J Am Coll Cardiol. 2001;38:682–7. 8. Myerburg RJ. Scientific gaps in the prediction and prevention of sudden cardiac death. J Cardiovasc Electrophysiol. 2002;13:709–23. 9. Field JM, Hazinski MF, Sayre MR, Chameides L, Schexnayder SM, Hemphill R, et al. Part 1: Executive summary: 2010 American Heart Association guidelines for cardiopulmonary resuscitation and emergency cardiovascular care. Circulation. 2010;122:S640–56. 10. Hallstrom AP, Ornato JP, Weisfeldt M, Travers A, Christenson J, McBurnie MA, et al. Public access defibrillation and survival after out-of-hospital cardiac arrest. N Engl J Med. 2004;351:637–46. 11. Myerburg R & Castellanos A in Braunwald’s Heart Disease. A 644 12. 13. 14. 15. 16. 17. 18. 19. 20. 21. 22. 23. 24. 25. 26. 27. 28. 29. 30. 31. Textbook of Cardiovascular Medicine 8th edn. (eds. Libby P, Bonow RO, Mann DL & Zipes DP.); Saunders, Philadelphia. 2007; pp. 933–74. Pratt CM, Greenway PS, Schoenfeld MH, Hibben ML, Reiffel JA. Exploration of the precision of classifying sudden cardiac death. Implications for the interpretation of clinical trials. Circulation. 1996;93:519–24. Kannel WB. Clinical misconceptions dispelled by epidemiological research. Circulation. 1995;92:3350–60. Carlson MD. Classification of death in clinical trials: Precision versus accuracy. J Cardiovasc Electrophysiol. 1999;10:1057–9. Lloyd-Jones D, Adams RJ, Brown TM, Carnethon M, Dai S, De Simone G, et al. Heart disease and stroke statistics–2010 update: A report from the American Heart Association. Circulation. 2010;121:e46–e215. Kong MH, Fonarow GC, Peterson ED, Curtis AB, Hernandez AF, Sanders GD, et al. Systematic review of the incidence of sudden cardiac death in the United States. J Am Coll Cardiol. 2011;57:794–801. Cobb LA, Fahrenbruch CE, Olsufka M, Copass MK. Changing incidence of out-of-hospital ventricular fibrillation, 1980–2000. JAMA. 2002;288:3008–13. Kass LE, Eitel DR, Sabulsky NK, Ogden CS, Hess DR, Peters KL. One-year survival after prehospital cardiac arrest: The Utstein style applied to a rural–suburban system. Am J Emerg Med. 1994;12:17–20. Lombardi G, Gallagher J, Gennis P. Outcome of out-of-hospital cardiac arrest in New York City. The Pre-Hospital Arrest Survival Evaluation (PHASE) Study. JAMA. 1994;271:678–83. Nichol G, Thomas E, Callaway CW, Hedges J, Powell JL, Aufderheide TP, et al. Regional variation in out-of-hospital cardiac arrest incidence and outcome. JAMA. 2008;300:1423–31. Chugh SS, Jui J, Gunson K, Stecker EC, John BT, Thompson B, et al. Current burden of sudden cardiac death: multiple source surveillance versus retrospective death certificate-based review in a large U.S. Community. J Am Coll Cardiol. 2004;44:1268–75. Byrne R, Constant O, Smyth Y, Callagy G, Nash P, Daly K, et al. Multiple source surveillance incidence and aetiology of out-ofhospital sudden cardiac death in a rural population in the west of Ireland. Eur Heart J. 2008;29:1418–23. Hua W, Zhang LF, Wu YF, Liu XQ, Guo DS, Zhou HL, et al. Incidence of sudden cardiac death in China: Analysis of 4 regional populations. J Am Coll Cardiol. 2009;54:1110–8. Fox CS, Evans JC, Larson MG, Lloyd-Jones DM, O'Donnell CJ, Sorlie PD, et al. A comparison of death certificate out-of-hospital coronary heart disease death with physician-adjudicated sudden cardiac death. Am J Cardiol. 2005;95:856–9. Fox CS, Evans JC, Larson MG, Kannel WB, Levy D. Temporal trends in coronary heart disease mortality and sudden cardiac death from 1950 to 1999: The Framingham Heart Study. Circulation. 2004;110:522–7. Jouven X, Desnos M, Guerot C, Ducimetière P. Predicting sudden death in the population: the Paris Prospective Study I. Circulation. 1999;99:1978–83. Rao BH, Sastry BK, Chugh SS, Kalavakolanu S, Christopher J, Shangula D, et al. Contribution of sudden cardiac death to total mortality in India – A population based study. Intl J Cardiol. 2012;154:163–7. Rosamond WD, Chambless LE, Folsom AR, Cooper LS, Conwill DE, Clegg L, et al. Trends in the incidence of myocardial infarction and in mortality due to coronary heart disease, 1987 to 1994. N Engl J Med. 1998;339:861–7. Zheng ZJ, Croft JB, Giles WH, Mensah GA. Sudden cardiac death in the United States, 1989 to 1998. Circulation. 2001;104:2158–63. Dudas K, Lappas G, Stewart S, Rosengren A. Trends in out-ofhospital deaths due to coronary heart disease in Sweden (1991 to 2006). Circulation. 2011;123:46–52. Gerber Y, Jacobsen SJ, Frye RL, Weston SA, Killian JM, Roger J. Preventive Cardiology Vol. 4 No. 2 Nov 2014 Epidemiology of SCD 32. 33. 34. 35. 36. 37. 38. 39. 40. 41. 42. 43. 44. 45. 46. 47. 48. 49. 50. 51. VL. Secular trends in deaths from cardiovascular diseases: A 25year community study. Circulation. 2006;113:2285–92. Becker LB, Han BH, Meyer PM, Wright FA, Rhodes KV, Smith DW, et al. Racial differences in the incidence of cardiac arrest and subsequent survival. The CPR Chicago Project. N Engl J Med. 1993;329:600–6. Shen WK, Edwards WD, Hammill SC, Bailey KR, Ballard DJ, Gersh BJ. Sudden unexpected nontraumatic death in 54 young adults: A 30-year population-based study. Am J Cardiol. 1995;76:148–52. Kannel WB, Schatzkin A. Sudden death: Lessons from subsets in population studies. J Am Coll Cardiol. 1985;5:141B–9B. Cupples LA, Gagnon DR, Kannel WB. 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Population-based analysis of 24,061 consecutive cases. Eur Heart J. 2000;21:315–20. Willich SN, Goldberg RJ, Maclure M, Perriello L, Muller JE. Increased onset of sudden cardiac death in the first three hours after awakening. Am J Cardiol. 1992;70:65–8. Gerber Y, Jacobsen SJ, Killian JM, Weston SA, Roger VL. Seasonality and daily weather conditions in relation to myocardial infarction and sudden cardiac death in Olmsted county, Minnesota, 1979 to 2002. J Am Coll Cardiol. 2006;48:287–92. Valenzuela TD, Roe DJ, Nichol G, Clark LL, Spaite DW, Hardman RG. Outcomes of rapid defibrillation by security officers after cardiac arrest in casinos. N Engl J Med. 2000;343:1206–9. Cobb LA, Fahrenbruch CE, Olsufka M, Copass MK. Changing incidence of out-of-hospital ventricular fibrillation, 1980–2000 JAMA. 2000;288:3008–13. Myerburg RJ, Interian A, Simmons J, Castellanos A. Sudden cardiac death. In: Zipes DP, ed. Cardiac Electrophysiology: From Cell to Bedside. 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Jouven X, Lemaître RN, Rea TD, Sotoodehnia N, Empana JP, Siscovick DS. Diabetes, glucose level, and risk of sudden cardiac death. Eur Heart J. 2005;26:2142–7. 645 Naik N, et al experiencing SCD. With every minute that passes between the SCD and defibrillation the survival rate decreases by 3–4% in patients receiving CPR and 7–10% those with no CPR.114 Thus, the overall survival in patients of SCD is 5–10 % in countries like USA where the average response time for emergency medical service is 8–15 min. For patients who are defibrillated within 10 min of SCD have a survival rate up to 40% and long term survival equals age and gender matched general population. Automated external defibrillators (AED’s) are computerized devices programmed to analyze the cardiac rhythm and deliver shock in case of ventricular tachycardia and fibrillation. These devises can be applied at public places and are easy to operate even by an untrained layman.115,116 In Public Access Defibrillation Trial, multiple volunteers from public were trained in CPR or CPR with AED use. AEDs were made available at various public sites like shopping malls, apartment complex, entertainment complex, etc. Individuals who suffered a SCD and received resuscitation with CPR and AED were twice more likely to survive compared to those resuscitated with only CPR.117 In developed nation like US, AEDs are applied at all federal building, airports and are also recommended at health and fitness facilities and schools. No such law regulating the use of AEDs in India is operational or is in pipeline. References n 1. Zheng ZJ, Croft JB, Giles WH, Mensah GA. Sudden cardiac death in the United States, 1989 to 1998. Circulation. 2001:104:2158–63. 2. Chugh SS, Reinier K, Teodorescu C, Evanado A, Kehr E, Al Samara M, et al. Epidemiology of sudden cardiac death: Clinical and research implications. Prog Cardiovasc Dis. 2008;51:213–28. 3. Zipes DP, Wellens HJ. Sudden cardiac death. Circulation. 1998;98:2334–51. 4. Engdahl J, Holmberg M, Karlson BW, Luepker R, Herlitz J. The epidemiology of out-of-hospital ‘sudden’ cardiac arrest. Resuscitation. 2002;52:235–45. 5. Joshi P, Islam S, Pais P, Reddy S, Dorairaj P, Kazmi K, et al. Risk factors for early myocardial infarction in South Asians compared with individuals in other countries. JAMA. 2007;297:286–94. 6. Ghaffar A, Reddy KS, Singhi M. Burden of non-communicable diseases in South Asia. BMJ. 2004;328:807–10. 7. Mohan V, Deepa R, Rani SS, Premalatha G. Prevalence of coronary artery disease and its relationship to lipids in a selected population in South India. The Chennai Urban population study (CUPS No 5). J Am Coll Cardiol. 2001;38:682–7. 8. Myerburg RJ. Scientific gaps in the prediction and prevention of sudden cardiac death. J Cardiovasc Electrophysiol. 2002;13:709–23. 9. Field JM, Hazinski MF, Sayre MR, Chameides L, Schexnayder SM, Hemphill R, et al. Part 1: Executive summary: 2010 American Heart Association guidelines for cardiopulmonary resuscitation and emergency cardiovascular care. Circulation. 2010;122:S640–56. 10. Hallstrom AP, Ornato JP, Weisfeldt M, Travers A, Christenson J, McBurnie MA, et al. Public access defibrillation and survival after out-of-hospital cardiac arrest. N Engl J Med. 2004;351:637–46. 11. Myerburg R & Castellanos A in Braunwald’s Heart Disease. A 644 12. 13. 14. 15. 16. 17. 18. 19. 20. 21. 22. 23. 24. 25. 26. 27. 28. 29. 30. 31. Textbook of Cardiovascular Medicine 8th edn. (eds. Libby P, Bonow RO, Mann DL & Zipes DP.); Saunders, Philadelphia. 2007; pp. 933–74. Pratt CM, Greenway PS, Schoenfeld MH, Hibben ML, Reiffel JA. Exploration of the precision of classifying sudden cardiac death. Implications for the interpretation of clinical trials. Circulation. 1996;93:519–24. Kannel WB. Clinical misconceptions dispelled by epidemiological research. Circulation. 1995;92:3350–60. Carlson MD. Classification of death in clinical trials: Precision versus accuracy. J Cardiovasc Electrophysiol. 1999;10:1057–9. Lloyd-Jones D, Adams RJ, Brown TM, Carnethon M, Dai S, De Simone G, et al. Heart disease and stroke statistics–2010 update: A report from the American Heart Association. Circulation. 2010;121:e46–e215. Kong MH, Fonarow GC, Peterson ED, Curtis AB, Hernandez AF, Sanders GD, et al. Systematic review of the incidence of sudden cardiac death in the United States. J Am Coll Cardiol. 2011;57:794–801. Cobb LA, Fahrenbruch CE, Olsufka M, Copass MK. Changing incidence of out-of-hospital ventricular fibrillation, 1980–2000. JAMA. 2002;288:3008–13. Kass LE, Eitel DR, Sabulsky NK, Ogden CS, Hess DR, Peters KL. One-year survival after prehospital cardiac arrest: The Utstein style applied to a rural–suburban system. Am J Emerg Med. 1994;12:17–20. Lombardi G, Gallagher J, Gennis P. Outcome of out-of-hospital cardiac arrest in New York City. The Pre-Hospital Arrest Survival Evaluation (PHASE) Study. JAMA. 1994;271:678–83. Nichol G, Thomas E, Callaway CW, Hedges J, Powell JL, Aufderheide TP, et al. Regional variation in out-of-hospital cardiac arrest incidence and outcome. JAMA. 2008;300:1423–31. Chugh SS, Jui J, Gunson K, Stecker EC, John BT, Thompson B, et al. Current burden of sudden cardiac death: multiple source surveillance versus retrospective death certificate-based review in a large U.S. Community. J Am Coll Cardiol. 2004;44:1268–75. Byrne R, Constant O, Smyth Y, Callagy G, Nash P, Daly K, et al. Multiple source surveillance incidence and aetiology of out-ofhospital sudden cardiac death in a rural population in the west of Ireland. Eur Heart J. 2008;29:1418–23. Hua W, Zhang LF, Wu YF, Liu XQ, Guo DS, Zhou HL, et al. Incidence of sudden cardiac death in China: Analysis of 4 regional populations. 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