Literature DB >> 24748875

Development and course of heart failure after a myocardial infarction in younger and older people.

Azam Torabi1, John Gf Cleland1, Alan S Rigby1, Nasser Sherwi1.   

Abstract

BACKGROUND: Acute myocardial infarction (AMI) is a common cause of heart failure (HF), which can develop soon after AMI and may persist or resolve or develop late. HF after an MI is a major source of mortality. The cumulative incidence, prevalence and resolution of HF after MI in different age groups are poorly described. This study describes the natural history of HF after AMI according to age.
METHODS: Patients with AMI during 1998 were identified from hospital records. HF was defined as treatment of symptoms and signs of HF with loop diuretics and was considered to have resolved if loop diuretic therapy could be stopped without recurrence of symptoms. Patients were categorised into those aged < 65 years, 65-75 years, and > 75 years.
RESULTS: Of 896 patients, 311, 297 and 288 were aged < 65, 65-75 and >75 years and of whom 24%, 57% and 82% had died respectively by December 2005. Of these deaths, 24 (8%), 68 (23%) and 107 (37%) occurred during the index admission, many associated with acute HF. A further 37 (12%), 63 (21%) and 82 (29%) developed HF that persisted until discharge, of whom 15, 44 and 62 subsequently died. After discharge, 53 (24%), 55 (40%) and 37 (47%) patients developed HF for the first time, of whom 26%, 62% and 76% subsequently died. Death was preceded by the development of HF in 35 (70%), 93 (91%) and 107 (85%) in aged < 65 years, 65-75 years and >75 years, respectively.
CONCLUSIONS: The risk of developing HF and of dying after an MI increases progressively with age. Regardless of age, most deaths after a MI are preceded by the development of HF.

Entities:  

Keywords:  Age; Heart failure; Myocardial infarction

Year:  2014        PMID: 24748875      PMCID: PMC3981977          DOI: 10.3969/j.issn.1671-5411.2014.01.002

Source DB:  PubMed          Journal:  J Geriatr Cardiol        ISSN: 1671-5411            Impact factor:   3.327


Introduction

Heart failure (HF) is a common complication of myocardial infarction (MI), which may develop early or late and persist, resolve or recur.[1] A growing proportion of patients with MI are aged > 65 years. Older patients are at greater risk of developing HF and have a poorer prognosis.[2]–[4] Surprisingly, the complex pattern and timing of the development and resolution of HF and the importance of such distinctions has not been quantified in relationship to age.[4],[5] Understanding the drivers of morbidity and mortality after MI is important, given the great difference in mortality rates reported in clinical trials of MI compared to epidemiological studies. Improved understanding about which patients are at risk and the nature of the risk could help focus attention on patients at greater need, to ensure that they receive appropriate therapy and that they are targeted for recruitment into clinical trials, which currently have rather low event rates. Treatment can only help patients who are at risk of complications that the treatment aims to prevent.

Methods

Study population

Two hospitals in Hull and the East Riding of Yorkshire (UK) are sole providers of acute cardiac services for about 560,000 people. MI's during 1998 were identified from the Hospitals Information Department and confirmed by case note review. This research was approved by the Local Research Ethics Committee.

Follow-up

The case records of all patients were reviewed to identify use of loop diuretics and if so whether this was due to symptoms or signs of HF. Follow-up data were collected until 31st December 2005. The occurrence of major events, such as recurrent MI, and stroke were recorded.

Definition of myocardial infarction (MI)

At least two of the following five criteria were used to confirm a diagnosis of MI: (1) prolonged cardiac chest pain; (2) increases in biomarkers (in 1998, usually creatinine kinase (CK) or CK-MB mass); (3) electrocardiographic changes of MI or new-onset left bundle branch block; (4) sudden unexpected death; and (5) autopsy evidence of MI.

Definitions

Heart failure was defined either as signs and symptoms consistent with that diagnosis (principally breathlessness and signs of fluid retention) resulting in treatment with loop diuretics. Use of loop diuretics for the treatment of hypertension or renal failure was not included in the definition of HF. Criteria for left ventricular systolic dysfunction (LVSD) were left ventricular ejection fraction (LVEF) < 40% or a qualitative report of moderate or severe LVSD. Patients were categorised into three age groups: (1) < 65 years; (2) 65–75 years and (3) > 75 years.

Resolution of heart failure

Consistent with European Society of Cardiology Guidelines,[6] resolution of heart failure was defined as the withdrawal of diuretics without the recurrence of symptoms.

Statistical analysis

Data were entered into a Microsoft Access database and analysed using SPSS Inc., version 13.0 (UK, Ltd.). Key outcomes were the proportion of patients who died and all-cause mortality. Continuously distributed data are presented as median and inter-quartile range (IQR). Categorical data are presented as percentages. Groups of patients with and without HF were compared by the Chi-squared test. Kaplan-Meier (K-M) curves were generated to illustrate patients' overall survival, and in subgroups. K-M curves were compared by the log-rank test on the appropriate degrees-of-freedom. Cox regression was used to look at mortality, from which hazard ratios (HRs) and 95%CIs were calculated. The Cox regression model is semi-parametric in the sense that no assumption concerning event-free survival times is necessary. The Cox regression model is based on the assumption that the effect of a risk factor, expressed as a HR, is constant over time. The assumption of proportionality of the Cox model covariates was tested by plotting residuals.[7],[8] Linearity of continuous data was checked by including a squared term. We did not build a model using automated selection methods but rather on biological variables relevant to heart failure.[9] Hence, we adopted an epidemiological approach to model building. Heart failure status was categorised into six groups: (1) no HF at any time (this was the reference group for statistical comparisons); (2) persistent HF (PHF), patients with HF on the index admission and persisting at follow up until death or end of follow-up; (3) late resolution HF (LRHF), patients with HF on the index admission that resolved only subsequent to discharge; (4) recurrent HF (RHF), patients with HF on the index admission that resolved prior to discharge but recurred during follow-up; (5) transient HF (THF) on the index admission that resolved prior to discharge and did not recur prior to death or end of follow-up; and (6) late-onset HF (LOHF), patients who did not develop HF on the index admission but who later developed HF during follow-up.

Results

Of 1,012 patients with a death or discharge diagnosis of acute MI in 1998, 116 were excluded from further analysis because they were transferred from another region or because MI could not be confirmed. This left 896 patients for analysis, of whom 311 (35%) were < 65 years, 297 (33%) 65–75 years and 288 (32%) were > 75 years (Table 1). Survival status was known for all patients by December 2005, apart from 16, 8 and 6 from each age-group, respectively. About one third of patients were women. Older patients were less likely to be managed primarily by a cardiologist. ST-segment elevation myocardial infarction (STEMI) occurred in 193 (62%), 174 (59%) and 151 (53%) cases. About 15% had a history of HF preceding the index event, rising from 7% in those aged < 65 years to 25% in those aged > 75 years.
Table 1.

Patients characteristics recorded during the index admission overall and treatment during index admission and any time and classified according to the three different age group: > 65 yrs, 65–75 yrs and > 75 yrs (Data are Median (inter-quartile range) and n (%)).

VariablesMissing dataAll< 65 yrs65–75 yrs> 75 yrsP value
N896311 (35%)297 (33%)288 (32%)
Age (yrs)070 (61–78)58 (51–61)71 (68–73)81 (78–85)< 0.001
Women0333 (37%)66 (21%)120 (40%)147 (51%)< 0.001
Current smoker87303 (37%)166 (55%)97 (35%)40 (17%)< 0.001
Ex smoker255 (32%)85 (30%)96 (35%)74 (32%)
History of hypertension40300 (35%)81 (27%)105 (37%)114 (42%)< 0.001
History of diabetes382+33a (13%)33 (11%)45 (15%)37 (13%)0.290
Prior MI1235 (26%)73 (24%)73 (25%)89 (31%)0.153
History of HF4134 (15%)22 (7%)39 (13%)73 (25%)< 0.001
Prior CABG39 (4%)19 (6%)14 (5%)6 (2%)0.051
Prior PTCA14 (2%)10 (3%)4 (1%)0< 0.001
Managed primarily by cardiologist558 (62%)233 (75%)186 (63%)139 (48%)< 0.001
Index admission ECG
 ST segment elevationb10518 (58%)193 (62%)174 (59%)151 (53%)< 0.001
Chest X-ray
 Pulmonary oedema227160 (24%)33 (14%)54 (24%)73 (33%)< 0.001
Physical examination
 Heart rate978 (64–97)73 (61–88)76 (64–98)85 (68–101)< 0.001
 Atrial fibrillation (yes/no)2153 (17%)19 (6%)56 (19%)78 (27%)< 0.001
 Systolic blood pressure5140 (120–160)132 (121–142)140 (120–160)140 (120–160)0.610
Blood tests (on admission)
 Peak CK49828 (376–1901)1062 (418–2262)767 (369–1779)684 (318–1651)0.018
 Creatinine127105 (89–129)95 (83–108)108 (90-132)117 (96–149)< 0.001
 Anaemia in 1st available Hbe41206 (24%)34 (11%)67 (24%)105 (38%)< 0.001
Revascularisation during admission
 Thrombolysis0372159 (51%)127 (43%)86 (30%)< 0.001
 PCI02016 (0.05%)4 (0.01%)0(%)< 0.001
 CABG084 (0.01%)3 (0.01%)1 (0%)0.459
Treatment at any time during admission
Selected parenteral agents
 Loop diuretic726249 (16%)91 (31%)122 (42%)< 0.001
 Nitrates3309125 (40%)103 (35%)81 (28%)0.019
 Inotropic therapy29422 (0.07%)34 (11%)38 (13%)0.121
Oral
 Aspirin2792302 (97%)251 (85%)239 (83%)< 0.001
 Statin2406214 (69%)141 (48%)51 (18%)< 0.001
 ACE inhibitors2354126 (41%)120 (41%)108 (38%)0.782
 ARBs282 (1%)2 (1%)4 (1%)0.689
 Beta-blockers2497236 (76%)163 (55%)98 (34%)< 0.001
 Loop diuretic329758 (19%)94 (32%)145 (50%)< 0.001
 Digoxin2686 (2%)22 (7%)40 (14%)< 0.001
Revascularisation at any timec
 PCI09472 (23%)20 (8%)2 (1%)< 0.001
 CABG09858 (19%)35 (12%)5 (2%)< 0.001
Treatments at any timec
 ACE-inhibitors (seven cases prior to index were on ACE-inhibitors)2496197 (63%)170 (57%)129 (45%)< 0.001
 ARBs24426 (8%)11 (4%)7 (2%)< 0.001
 Beta-blockers2541256 (82%)173 (58%)99 (35%)< 0.001
 Loop diuretic2539130 (42%)187 (63%)222 (77%)< 0.001
 Thiazide diuretic26830 (10%)20 (8%)18 (6%)0.287
Spironolactone26428 (9%)20 (8%)17 (6%)0.301
 Digoxin211016 (5%)38 (13%)56 (20%)< 0.001
 Insulin19233 (11%)39 (13%)20 (7%)0.083
 Oral hypoglycaemic agent26726 (8%)24 (8%)17 (6%)0.499
 Aspirin2805304 (98%)256 (86%)245 (85%)< 0.001
 Statin2530269 (86%)189 (64%)72 (25%)< 0.001
Imagingd
N861296284281
Echocardiography2839610087
 Major LVSD414144 (46%)51 (51%)46 (55%)0.029
 Moderate or severe mitral regurgitation12399 (9%)14 (14%)16 (18%)0.519
 Moderate or severe other valve disease6111 (1%)5 (5%)5 (6%)0.329
Radionuclide35717612358
 LVEF 35%–40%4246 (26%)39 (32%)25 (43%)0.087
 LVEF < 35%11018 (10%)18 (15%)6 (10%)
Major LVSD/Survived and did not develop HFe3820 (20%)11 (11%)7 (9%)
No major LVSD/Survived and did not develop HFf14292 (67%)44 (45%)6 (17%)
No LV function report/Survived and did not develop HFg4426 (53%)13 (16%)5 (3%)

Percentages are shown are of those in whom measurements were made. Example interpretation: older patients had high creatinie levels compare to younger patients. Many of these associations show dose-response. The differences for Na are exaggerated because of the relative large sample sizes between the three groups, and the relatively low standard deviations (in other words, this is a statistical quirk). aThirty-three cases newly diagnosed as diabetic on index admission; bP-value for ST calculated between three groups (STE, No STE and other (LBBB) and pace); cTreatment any time until 31st December 2005; dEvidence of left ventricular function during index admission or shortly after; eThree patients age < 65 years and one 65–75 years lost follow-up; fEight patients age < 65 years, two with 65–75 years and two in those > 75 years lost follow-up; gThree patients age < 65 years, two with 65–75 years lost follow-up. ARB: angiotensin receptor blockers; CABG: coronary artery bypass grafting; CK: creatine kinase; ECG: electrocardiogram; HF: heart failure; LBBB: Left bundle branch block; LVEF: left ventricular ejection fraction; LVSD: left ventricular systolic dysfunction; MI: myocardial infarction; STE: ST- segment elevation; PTCA: percutaneous transluminal coronary angioplasty.

During the index admission, younger patients were more often treated with aspirin, statins, beta-blockers, intravenous nitrate, heparin and thrombolysis. Older patients were more likely to receive loop diuretic and digoxin (P < 0.001) (Table 1). Primary angioplasty was not done in this hospital group in 1998. Overall, 75 (24%) patients < 65 years, 170 (57%) aged 65–75 years, and 235 (82%) > 75 years had died by December 2005 (Figure 1). Figure 2 shows the overall proportion of patients that developed HF at any time during follow-up and their categorisation according to persistence, remission and timing of development of HF in different age groups.
Figure 1.

The sequence of events leading to the development of HF and/or death.

(A): Flow diagram showing the sequence of development of HF and relationship with recurrent ischemic episodes and mortality over approximately 6 years in patients less than 65 years old which admitted with an acute MI during 1998. Follow-up data were incomplete in 16 patients. (B): Flow diagram showing the sequence of development of heart failure and relationship with recurrent ischemic episodes and mortality over approximately 6 years in patients 65–75 years old which admitted with an acute MI during 1998. Follow-up data were incomplete in 8 patients. (C): The sequence of development of heart failure and relationship with recurrent ischemic episodes and mortality over approximately 6 years in patients more than 75 years old which admitted with an acute MI during 1998. Follow-up data were incomplete in 6 patients. HF: heart failure; MI: myocardial infarction.

Figure 2.

The proportions of patients developing different categories of heart failure according to early mortality, timing of onset and persistence according to different age group.

(A): > 65 years; (B): 65–75 years and (C): > 75 years. See methods for definitions of transient, persistent, remission and recurrence. HF: heart failure; MI: myocardial infarction; THF: transient heart failure.

During the index hospitalization, 24 patients (8%) < 65 years, 68 (23%) patients 65–75 years, 107 patients (37%) > 75 years died with about 80% of deaths being associated with evidence of heart failure. Transient heart failure was observed in 26 (32%) patients < 65 years, in 27 (19%) patients 65–75 years, and in 21 (11%) patients > 75 years, but had resolved by discharge with cessation of diuretic therapy. Heart failure was present at discharge in 37 (12%) patients < 65 years, 63 (21%) patients 65–75 years and 82 (28%) patients > 75 years, which had preceded admission in approximately one third of cases in each age group. Percentages are shown are of those in whom measurements were made. Example interpretation: older patients had high creatinie levels compare to younger patients. Many of these associations show dose-response. The differences for Na are exaggerated because of the relative large sample sizes between the three groups, and the relatively low standard deviations (in other words, this is a statistical quirk). aThirty-three cases newly diagnosed as diabetic on index admission; bP-value for ST calculated between three groups (STE, No STE and other (LBBB) and pace); cTreatment any time until 31st December 2005; dEvidence of left ventricular function during index admission or shortly after; eThree patients age < 65 years and one 65–75 years lost follow-up; fEight patients age < 65 years, two with 65–75 years and two in those > 75 years lost follow-up; gThree patients age < 65 years, two with 65–75 years lost follow-up. ARB: angiotensin receptor blockers; CABG: coronary artery bypass grafting; CK: creatine kinase; ECG: electrocardiogram; HF: heart failure; LBBB: Left bundle branch block; LVEF: left ventricular ejection fraction; LVSD: left ventricular systolic dysfunction; MI: myocardial infarction; STE: ST- segment elevation; PTCA: percutaneous transluminal coronary angioplasty.

The sequence of events leading to the development of HF and/or death.

(A): Flow diagram showing the sequence of development of HF and relationship with recurrent ischemic episodes and mortality over approximately 6 years in patients less than 65 years old which admitted with an acute MI during 1998. Follow-up data were incomplete in 16 patients. (B): Flow diagram showing the sequence of development of heart failure and relationship with recurrent ischemic episodes and mortality over approximately 6 years in patients 65–75 years old which admitted with an acute MI during 1998. Follow-up data were incomplete in 8 patients. (C): The sequence of development of heart failure and relationship with recurrent ischemic episodes and mortality over approximately 6 years in patients more than 75 years old which admitted with an acute MI during 1998. Follow-up data were incomplete in 6 patients. HF: heart failure; MI: myocardial infarction.

The proportions of patients developing different categories of heart failure according to early mortality, timing of onset and persistence according to different age group.

(A): > 65 years; (B): 65–75 years and (C): > 75 years. See methods for definitions of transient, persistent, remission and recurrence. HF: heart failure; MI: myocardial infarction; THF: transient heart failure.

Long-term follow-up

Amongst patients aged < 65 years, 65–75 years and > 75 years with persistent heart failure at discharge, crude mortalities at six years were 41%, 70% and 76%, respectively. Amongst patients with transient heart failure during the index admission, it recurred in 46%, 56% and 67% and of these 23%, 56% and 81% died in each age group, respectively. Amongst patients who did not have heart failure at discharge, 25%, 41% and 50% subsequently developed HF and of these 26%, 62% and 76% died in each age group, respectively. Thus of 271, 221 and 175 patients aged < 65 years, 65–75 years and > 75 years who survived to discharge and were not lost to follow-up, 50 (18%), 102 (46%) and 126 (72%) subsequently died, of whom 35 (70%), 93 (91%) and 107 (85%) first developed HF (Figures 3A, 3B).
Figure 3.

The prognosis of patients discharged after the index MI according to different age groups with and without any HF.

(A): Prognosis amongst patients discharged after the index myocardial infarction in different age groups (> 65 years, 65–75 years and > 75 years) with any HF (persistent or transient) and those who never developed HF; (B): Kaplan-Meier curves showing prognosis amongst patients discharged after the index myocardial infarction with and without transient or persistent heart failure according to different age group (> 65 years, 65–75 years and > 75 years). For statistical comparisons see Table 3. HF: heart failure; MI: myocardial infarction.

A report on LV function during or shortly after the index admission was available in 228 (83%), 175 (81%) and 104 (60%) surviving patients in the three age groups and in 16, 24 and 31 patients who died during the index admission (Table 1). LVSD was associated with a greater likelihood of developing heart failure and a worse prognosis. Of patients who died after the index admission, 23 (45%), 67 (66%) and 78 (61%) patients died during a re-admission to hospital in each of the three age groups (Table 2). Little detailed information was available for out-of-hospital deaths but review of existing data suggested that most were unexpected and probably sudden.
Table 2.

Mode of death in patients who died during index admission (n = 199) and subsequent to discharge (n = 281).

AllAge < 65 yearsAge 65–75 yearsAge > 75 years
896311 (35%)297 (33%)288 (32%)
Died during index admission1992468107
 SCD5561831
 HF114163860
 Stroke2002
 Cardiac procedures related4013
 Other cardiac8134
 Infection4022
 Cancer1001
 Other non cardiac11164
Died after the index admission28151102128
Died during a re-admission168a236778
 SCD9234
 HF688 (35%)30 (45%)30 (39%)
 Stroke11146
 Cardiac procedures related2020
 Other cardiac4112
 Infection222713
 Cancer246810
 Other non cardiac2731212
Died out of hospitalb113283550
 Severe HFc16754
 Advanced cancer9225
 Stroke2101
Any transient or persistent HF83172937
 Any HF with LVSD prior to deathd48122016
 Any HF with no LV assessment162311
 Any HF with No LVSD193610
Never HF3011613
 Never HF with LVSD prior to death7520
 Never HF with no LV assessment10226
 Any HF with No LVSD13427

aOne patient with age > 75 years had missing data during last admission; bwith age 65–75 years one patients died of self-poisoning, with age < 65 years one patient had three vessel disease and was waiting for CABG, one patient had three vessel disease and was waiting for PTCA and another had LAD disease but were not suitable for surgery and one patient 65–75 year old had severe pulmonary hypertension; cSevere HF during one month prior to death of whom two had missed HF (chest X-rays report were pulmonary oedema after death); dLVSD in last cardiac imaging prior to death P-values not calculated owing to small cell numbers. CABG: coronary artery bypass grafting; HF: heart failure; LAD: left anterior descending; LVSD: left ventricular systolic dysfunction; PTCA: percutaneous transluminal coronary angioplasty; SCD: Sudden cardiac death.

Cox model

Patients with HF during the index admission had the poorest survival across all age groups (Figure 3A and B) particularly if PHF. The increased risk conferred by PHF was marked for patients aged 65–75 years and less pronounced for patients aged > 75 years, most of whom developed HF and had a poor outcome even if they were not reported to develop HF (Table 3).
Table 3.

Cox-regression models, unadjusted and multivariate-adjusted procedures of mortality in patients subsequent to discharge (n = 667).

Variablen
Univariate

Multivariable adjusted
HRP valueHRP value
< 65 years old271
Heart failure status*15630.55924.632
 PHF-persistent at follow up2826.1036.701 (3.230–13.902)< .00120.9045.889 (2.754–12.593)< 0.001
 PHF-resolved at follow up90.6180.450 (0.061–3.301)0.4320.4360.507 (0.068–3.802)0.509
 THF-redevelop HF122.6672.543 (0.830–7.793)0.1022.3782.420 (0.787–7.439)0.123
 THF-remission at follow up131.2030.319 ( 0.042–2.456)0.2731.1600.326 (0.042–2.508)0.281
 No HF-developed HF531.0351.512 (0.682–3.351)0.3090.9151.478 (0.664–3.287)0.339
Re-admission with MI399.4742.638 (1.422–4.893)< .0012.6071.747 (0.888–3.437)< 0.106
Re-admission with angina510.0190.950 (0.462–1.955)0.8900.0270.938 (0.435–2.022)< 0.870
65–75 years old221
Heart failure status*7949.17246.855
 PHF-persistent at follow up5644.73811.798 (5.724–24.315)< .00142.60011.408 (5.492–23.697)< 0.001
 PHF-resolved at follow up50.1361.309 (0.313–5.483)0.7120.2251.416 (0.337–5.960)0.635
 THF-redevelop HF156.3172.683 (1.243–5.791)0.0124.1992.143 (1.036–4.856)0.040
 THF-remission at follow up110.7960.578 (0.173–1.929)0.3721.0890.526 (0.157–1.758)0.297
 No HF-developed HF554.3981.753 (1.037–2.962)0.0362.4331.525 (0.897–2.592)0.119
Re-admission with MI4721.7112.660 (1.763–4.015)< .0013.7181.522 (0.993–2.334)0.054
Re-admission with angina3911.3480.267 (0.124–0.576)< .0018.6440.305 (0.138-0.673)< .001
> 75 years old175
Heart failure status*3714.91412.452
 PHF-persistent at follow up7211.4152.452 (1.457–4.127)< .0017.5802.114 (1.241–3.603)< 0.001
 PHF-resolved at follow up81.5720.523 (0.190–1.441)0.2102.5800.434 (0.157–1.202)0.108
 THF-redeveloped HF143.2931.872 (0.951–3.684)0.0703.2661.869 (0.948–3.682)0.071
 THF-remission at follow up70.4631.381 (0.545–3.504)0.4961.1841.689 (0.657–4.338)0.277
 No HF-developed HF370.3351.152 (0.713–1.861)0.5630.3281.151 (0.711–1.863)0.567
Re-admission with MI597.3511.641 (1.147–2.349)< .0011.5161.269 (0.868–1.855)0.218
Re-admission with angina219.6410.321 (0.157–0.658)< .0017.5310.357 (0.171–0.745)< 0.001

*With reference to No HF any time (index admission and follow up). HF: heart failure; HR: hazard ratio; MI: myocardial infarction; PHF: persistent heart failure during the index admission; THF: transient HF during the index admission.

The prognosis of patients discharged after the index MI according to different age groups with and without any HF.

(A): Prognosis amongst patients discharged after the index myocardial infarction in different age groups (> 65 years, 65–75 years and > 75 years) with any HF (persistent or transient) and those who never developed HF; (B): Kaplan-Meier curves showing prognosis amongst patients discharged after the index myocardial infarction with and without transient or persistent heart failure according to different age group (> 65 years, 65–75 years and > 75 years). For statistical comparisons see Table 3. HF: heart failure; MI: myocardial infarction. aOne patient with age > 75 years had missing data during last admission; bwith age 65–75 years one patients died of self-poisoning, with age < 65 years one patient had three vessel disease and was waiting for CABG, one patient had three vessel disease and was waiting for PTCA and another had LAD disease but were not suitable for surgery and one patient 65–75 year old had severe pulmonary hypertension; cSevere HF during one month prior to death of whom two had missed HF (chest X-rays report were pulmonary oedema after death); dLVSD in last cardiac imaging prior to death P-values not calculated owing to small cell numbers. CABG: coronary artery bypass grafting; HF: heart failure; LAD: left anterior descending; LVSD: left ventricular systolic dysfunction; PTCA: percutaneous transluminal coronary angioplasty; SCD: Sudden cardiac death.

Discussion

This analysis shows that the development of heart failure after a MI increases steeply with age, that most patients who die subsequent to a MI will first develop heart failure and that heart failure is a powerful adverse prognostic factor. Patients aged < 65 years were least likely to get heart failure but half developed it over the subsequent six years and 70% of deaths in this age group occurred subsequent to the onset of heart failure. For patients aged 65–75 years, 73% developed heart failure during follow-up and 91% of deaths in this group occurred subsequent to the development of HF. In patients aged > 75 years, 87% developed heart failure but the prognosis was poor whether or not overt heart failure developed. Few of those with documented substantial LVSD after a myocardial infarction escaped death or the development of heart failure over the subsequent six years. However, about half of patients in whom substantial LVSD had been excluded still went on to develop heart failure, of whom a large proportion died. Thus the prevention and management of heart failure rather than LVSD may be the most important therapeutic target in patients with heart failure. *With reference to No HF any time (index admission and follow up). HF: heart failure; HR: hazard ratio; MI: myocardial infarction; PHF: persistent heart failure during the index admission; THF: transient HF during the index admission. This cohort of patients was enrolled prior to the widespread adoption of primary angioplasty and before national audits were introduced to improve the quality of care. Treatments to restore coronary perfusion were suboptimal. Studies show that thrombolysis and primary percutaneous angioplasty can reduce myocardial damage[10]–[12] leading to improved long-term recovery of cardiac function[13]–[15] and reduced mortality.[16]–[19] This should reduce the incidence of heart failure, although evidence in support of this hypothesis is scant. ACE inhibitors,[20] angiotensin receptor blockers,[21],[22] aldosterone receptor antagonists,[23] beta-blockers[24] and statins[25] were not used optimally by contemporary standards. Greater use might have assisted recovery in ventricular function, reduced the development of heart failure and improved prognosis. Thus, our data should not be perceived as an accurate description of outcome in contemporary patients but rather likely outcome if modern standards are not applied. Further cohorts should be enrolled to assess contemporary populations, recognising these must still be many years out of date if 5-year outcome is to be reported. Great care should be taken in case-ascertainment. Those lucky enough to reach the catheter laboratory probably have a better prognosis than those who do not, partly due to case-selection. Hopefully, improvements in care have improved the prognosis of patients with myocardial infarction.[26] However, a repeat survey in our hospital conducted in 2005, with much higher uptake of guideline-indicated therapy, revealed a three year mortality which was still in excess of 30%, suggesting that the prognosis of MI in epidemiologically representative cohorts of patients, not just those who get to the catheter laboratory, remains poor.[27] Overall, our cohort of patients was most unlike that observed in clinical trials. The median age in our cohort in 1998 was 70 years and 35% were women.[1] This had changed little by 2005 and is similar to that reported by the Myocardial Infarction National Audit Programme (MINAP) in the UK in 2003–2005 (mean age 69 years and 36% women).[28] The Euro Heart Survey of Acute Coronary Syndromes reported a mean age of just 63 years and 29% women amongst patients with an ST elevation MI and 66 years and 36% in those with MI but no ST elevation.[29] In contemporary clinical trials of acute MI, such as the Platelet Inhibition and Patient Outcomes (PLATO) study, the median age was only 62 years, only 15% were ≥ 75 years old and 28% were women.[30] One year mortality, including in-patient deaths, was only 6%. The mean age of these patients was 61 years and only 11% were aged ≥ 75 years.[31] In the TRITON-TIMI 38 study, the median age was 61 years and only 13% of patients were aged > 75 years.[32] Overall mortality was 3% over a median follow-up of 15 months, patients aged > 75 years were more likely to reach the primary end-point (cardiovascular death, MI or stroke) (18.3% vs. 10.6% in those assigned to clopidogrel). These outcomes compare to in-patient and one year mortalities in our epidemiological cohorts of 22% and 31% in 1998 and 11% and 19% in 2005.[1],[27] The difference in outcome between observational and trial data-sets could reflect differences in care but may also reflect differences in case ascertainment and selection. Old, frail patients with multiple comorbidities may be excluded by the protocol or may decline to participate in trials. Alternatively, investigators, for a variety of reasons including compassion and the fact that managing such cases consumes more research time and resources, may avoid enrolling frail, elderly patients. A low threshold for the detection of MI with the use of more sensitive troponin assays may also lead to an apparent improvement in prognosis, as small MIs will generally have a better prognosis than large ones. The quality of care may also be inferior in older patients. However, it is also possible that compassionate clinicians decide that palliative care is appropriate and that it is no longer appropriate to try to modify the prognosis in some older patients. The rights and wrongs must be argued on an individual case basis. The prognosis of younger patients enrolled in many contemporary trials of acute coronary syndrome is now so good it may be difficult to improve. Clinical trials specifically amongst older patients would be valuable as they are at high risk, both in terms of prognosis and side effects of treatment. The balance of risk and benefit may differ from younger patients.[33],[34] However, disease in older patients may be more resistant to modification by therapy. The problem may not be so much chronological as biological age. Older patients have more co-morbid conditions such as AF, conducting system disease, respiratory disease, renal dysfunction, anaemia and, worst of all, heart failure. In a sense, age is a surrogate for the drivers of an adverse outcome. Identification and effective management of these co-morbidities might improve outcomes. Patients aged 65–75 years are at intermediate risk and this may be where the greatest therapeutic gains occur. It may be difficult to reduce risk in a group already at low risk, whereas in patients aged > 75 years, an effective therapy may still not be effective enough to make a meaningful difference in outcome.[35] Identifying and managing modifiable risk is key and it may be best to target intermediate risk to achieve the greatest benefit.

Study limitations

Substantial changes in management have occurred since 1998 as discussed above. Systematic attempts were not made to withdraw diuretics, therefore we may have over- estimated the persistence of HF. A simple, robust definition of HF remains elusive. However, patients who receive loop diuretics and who have cardiovascular disease clearly have a poor prognosis whether or not they have a low ejection fraction.[36] Ultimately, the diagnosis of HF relies on a doctor's skill in assessing patients in the light of appropriate investigations. It is probably under- rather than over-diagnosed.

Conclusions

The development of HF precedes death in the great majority of patients who die within six years of an MI, especially amongst patients aged > 65 years. Improved prevention and management of HF and its important co-morbidities may improve outcome.
  33 in total

1.  Mortality and prehospital thrombolysis for acute myocardial infarction: A meta-analysis.

Authors:  L J Morrison; P R Verbeek; A C McDonald; B V Sawadsky; D J Cook
Journal:  JAMA       Date:  2000 May 24-31       Impact factor: 56.272

2.  High on-thienopyridine platelet reactivity in elderly coronary patients: the SENIOR-PLATELET study.

Authors:  Johanne Silvain; Guillaume Cayla; Jean-Sébastien Hulot; Jonathan Finzi; Mathieu Kerneis; Stephen A O'Connor; Anne Bellemain-Appaix; Olivier Barthélémy; Farzin Beygui; Jean-Philippe Collet; Gilles Montalescot
Journal:  Eur Heart J       Date:  2011-11-07       Impact factor: 29.983

3.  Is the volume-outcome relation still an issue in the era of PCI with systematic stenting? Results of the greater Paris area PCI registry.

Authors:  Christian Spaulding; Marie-Claude Morice; Bernard Lancelin; Simon El Haddad; Eric Lepage; Sophie Bataille; Jean-Pierre Tresca; Xavier Mouranche; Sandrine Fosse; Mehran Monchi; Nikita de Vernejoul
Journal:  Eur Heart J       Date:  2006-03-28       Impact factor: 29.983

4.  The volume of primary angioplasty procedures and survival after acute myocardial infarction. National Registry of Myocardial Infarction 2 Investigators.

Authors:  J G Canto; N R Every; D J Magid; W J Rogers; J A Malmgren; P D Frederick; W J French; A J Tiefenbrunn; V K Misra; C I Kiefe; H V Barron
Journal:  N Engl J Med       Date:  2000-05-25       Impact factor: 91.245

5.  Vorapaxar in the secondary prevention of atherothrombotic events.

Authors:  David A Morrow; Eugene Braunwald; Marc P Bonaca; Sebastian F Ameriso; Anthony J Dalby; Mary Polly Fish; Keith A A Fox; Leslie J Lipka; Xuan Liu; José Carlos Nicolau; A J Oude Ophuis; Ernesto Paolasso; Benjamin M Scirica; Jindrich Spinar; Pierre Theroux; Stephen D Wiviott; John Strony; Sabina A Murphy
Journal:  N Engl J Med       Date:  2012-03-24       Impact factor: 91.245

6.  Impact of age on management and outcome of acute coronary syndrome: observations from the Global Registry of Acute Coronary Events (GRACE).

Authors:  Alvaro Avezum; Marcia Makdisse; Frederick Spencer; Joel M Gore; Keith A A Fox; Gilles Montalescot; Kim A Eagle; Kami White; Rajendra H Mehta; Elias Knobel; Jean-Philippe Collet
Journal:  Am Heart J       Date:  2005-01       Impact factor: 4.749

7.  Influence of age on the prognostic importance of left ventricular dysfunction and congestive heart failure on long-term survival after acute myocardial infarction. TRACE Study Group.

Authors:  L Køber; C Torp-Pedersen; M Ottesen; H Burchardt; E Korup; K Lyngborg
Journal:  Am J Cardiol       Date:  1996-07-15       Impact factor: 2.778

8.  The timing of development and subsequent clinical course of heart failure after a myocardial infarction.

Authors:  Azam Torabi; John G F Cleland; Nasrin K Khan; Puan H Loh; Andrew L Clark; Farqad Alamgir; John L Caplin; Alan S Rigby; Kevin Goode
Journal:  Eur Heart J       Date:  2008-03-19       Impact factor: 29.983

Review 9.  Primary angioplasty versus intravenous thrombolytic therapy for acute myocardial infarction: a quantitative review of 23 randomised trials.

Authors:  Ellen C Keeley; Judith A Boura; Cindy L Grines
Journal:  Lancet       Date:  2003-01-04       Impact factor: 79.321

10.  GISSI-3: effects of lisinopril and transdermal glyceryl trinitrate singly and together on 6-week mortality and ventricular function after acute myocardial infarction. Gruppo Italiano per lo Studio della Sopravvivenza nell'infarto Miocardico.

Authors: 
Journal:  Lancet       Date:  1994-05-07       Impact factor: 79.321

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  11 in total

1.  Humoral factors in serum of rats with chronic heart failure induce cardiomyocyte hypertrophy and reduce viability.

Authors:  Sarah El Rifai; Amalia Sintou; Catherine Mansfield; Charles Houston; Rasheda A Chowdhury; Julia Gorelik; Susanne Sattler
Journal:  Clin Med (Lond)       Date:  2020-03       Impact factor: 2.659

2.  Efficient cardiac gene transfer and early-onset expression of a synthetic adeno-associated viral vector, Anc80L65, after intramyocardial administration.

Authors:  Michael G Katz; Yoav Hadas; Rasheed A Bailey; Shahood Fazal; Adam Vincek; Sophia J Madjarova; Nataly Shtraizent; Luk H Vandenberghe; Efrat Eliyahu
Journal:  J Thorac Cardiovasc Surg       Date:  2021-06-17       Impact factor: 5.209

Review 3.  The Mechanisms Underlying the Beneficial Effects of Stem Cell-Derived Exosomes in Repairing Ischemic Tissue Injury.

Authors:  Yu Zhang; Lijuan Jiao; Lin Lu; Chengjie Wu; Junchu Tu; Yujie Li; Yanli Wang; Fengzhi Ding; Wei Luo; Wenjie Chen; Zhenya Shen; Yao-Hua Song; Yangxin Li
Journal:  J Cardiovasc Transl Res       Date:  2022-04-28       Impact factor: 3.216

4.  Injectable Supramolecular Hydrogel/Microgel Composites for Therapeutic Delivery.

Authors:  Minna H Chen; Jennifer J Chung; Joshua E Mealy; Samir Zaman; Elizabeth C Li; Maria F Arisi; Pavan Atluri; Jason A Burdick
Journal:  Macromol Biosci       Date:  2018-09-27       Impact factor: 4.979

5.  An electronic health records cohort study on heart failure following myocardial infarction in England: incidence and predictors.

Authors:  Johannes M I H Gho; Amand F Schmidt; Laura Pasea; Stefan Koudstaal; Mar Pujades-Rodriguez; Spiros Denaxas; Anoop D Shah; Riyaz S Patel; Chris P Gale; Arno W Hoes; John G Cleland; Harry Hemingway; Folkert W Asselbergs
Journal:  BMJ Open       Date:  2018-03-03       Impact factor: 2.692

6.  Gender based differences in clinical and Angiographic characteristics and outcomes of Acute Coronary Syndrome (ACS) in Asian population.

Authors:  Afrasyab Altaf; Hammad Shah; Momin Salahuddin
Journal:  Pak J Med Sci       Date:  2019 Sep-Oct       Impact factor: 1.088

7.  Disease correlation network: a computational package for identifying temporal correlations between disease states from Large-Scale longitudinal medical records.

Authors:  Huaiying Lin; Ruichen Rong; Xiang Gao; Kashi Revanna; Michael Zhao; Petar Bajic; David Jin; Chengjun Hu; Qunfeng Dong
Journal:  JAMIA Open       Date:  2019-08-23

8.  Apabetalone and hospitalization for heart failure in patients following an acute coronary syndrome: a prespecified analysis of the BETonMACE study.

Authors:  Stephen J Nicholls; Gregory G Schwartz; Kevin A Buhr; Henry N Ginsberg; Jan O Johansson; Kamyar Kalantar-Zadeh; Ewelina Kulikowski; Peter P Toth; Norman Wong; Michael Sweeney; Kausik K Ray
Journal:  Cardiovasc Diabetol       Date:  2021-01-07       Impact factor: 9.951

9.  Heart Failure Complicating Acute Myocardial Infarction; Burden and Timing of Occurrence: A Nation-wide Analysis Including 86 771 Patients From the Cardiovascular Disease in Norway (CVDNOR) Project.

Authors:  Gerhard Sulo; Jannicke Igland; Stein Emil Vollset; Ottar Nygård; Marta Ebbing; Enxhela Sulo; Grace M Egeland; Grethe S Tell
Journal:  J Am Heart Assoc       Date:  2016-01-07       Impact factor: 5.501

10.  Postinfarction Hearts Are Protected by Premature Senescent Cardiomyocytes Via GATA 4-Dependent CCN 1 Secretion.

Authors:  Sumei Cui; Li Xue; Feihong Yang; Shuai Dai; Ziqi Han; Kai Liu; Baoshan Liu; Qiuhuan Yuan; Zhaoqiang Cui; Yun Zhang; Feng Xu; Yuguo Chen
Journal:  J Am Heart Assoc       Date:  2018-09-18       Impact factor: 5.501

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