Abstract
Objective
Acute coronary syndromes (ACS) are common, but their incidence and outcome might depend greatly on how data are collected. We compared case ascertainment rates for ACS and myocardial infarction (MI) in a single institution using several different strategies.
Methods
The Hull and East Yorkshire Hospitals serve a population of ∼560 000. Patients admitted with ACS to cardiology or general medical wards were identified prospectively by trained nurses during 2005. Patients with a death or discharge code of MI were also identified by the hospital information department and, independently, from Myocardial Infarction National Audit Project (MINAP) records. The hospital laboratory identified all patients with an elevated serum troponin-T (TnT) by contemporary criteria (>0.03 µg/L in 2005).
Results
The prospective survey identified 1731 admissions (1439 patients) with ACS, including 764 admissions (704 patients) with MIs. The hospital information department reported only 552 admissions (544 patients) with MI and only 206 admissions (203 patients) were reported to the MINAP. Using all 3 strategies, 934 admissions (873 patients) for MI were identified, for which TnT was >1 µg/L in 443, 0.04–1.0 µg/L in 435, ≤0.03 µg/L in 19 and not recorded in 37. A further 823 patients had TnT >0.03 µg/L, but did not have ACS ascertained by any survey method. Of the 873 patients with MI, 146 (16.7%) died during admission and 218 (25.0%) by 1 year, but ranging from 9% for patients enrolled in the MINAP to 27% for those identified by the hospital information department.
Conclusions
MINAP and hospital statistics grossly underestimated the incidence of MI managed by our hospital. The 1-year mortality was highly dependent on the method of ascertainment.
Keywords: Myocardial infarction, Mortality
Key questions.
What is already known about this subject?
Myocardial infarction (MI) is common, but the effect of the method of case ascertainment on its epidemiology has not been adequately explored.
The prognosis of MI managed by cardiologists has improved markedly over the last 20 years but this could, at least in part, reflect the method of case ascertainment and selection.
Plasma concentrations of troponins are often elevated in the absence of a clinically identified cardiac event.
What does this study add?
This study shows that the incidence and outcome of MI is highly dependent on the mode of ascertainment.
It demonstrates that a raised troponin that is not associated with other features of an acute coronary syndrome (ACS) is associated with a particularly poor prognosis.
How might this impact on clinical practice?
The observations will increase awareness of the uncertainty surrounding the incidence and outcome of ACS, the need for improved data collection and a review of resource requirements for the management of ACS.
Further research may help improve diagnosis, management and outcomes for patients who do not have ACS, but have a raised troponin.
Background
Although acute coronary syndromes (ACS), including myocardial infarction (MI), are common, there is a lack of robust epidemiological data about their incidence.1 Case ascertainment and selection bias could have a major impact on incidence and outcome statistics. This creates difficulty in planning appropriate resource allocation, doubt about the efficacy of coronary prevention at a population level and uncertainty about the overall effectiveness of management of ACS.
In late 1998, the UK launched the Myocardial Infarction National Audit Project (MINAP) and required all hospital trusts to report all MIs initially and subsequently a much broader range of patients.2 About 1 million cases of MI have been reported to the MINAP over the last 15 years.3 (https://www.ucl.ac.uk/nicor/audits/minap/reports) These reports suggest that the quality of care for ACS in the UK is good or excellent. However, there are deep concerns about the completeness of, and case selection for, the MINAP returns that might misrepresent the true pattern of care.
We conducted a retrospective audit of all patients coded as having MI in our region in 1998. This identified 896 patients; of whom, 562 (63%) subsequently developed heart failure and 480 (54%) died during ∼6-year follow-up.4 We now report a new audit of MIs occurring in 2005 from the same region using the same and three additional methods for case ascertainment. This method gave us the opportunity of comparing the hospital incidence of MI using three different approaches and additionally making a historical comparison from the same region at a time of major changes in treatment and services.
Methods
Study population
One hospital group in Hull and East Yorkshire provides all the acute cardiac services for ∼560 000 people; of whom, ∼300 000 are aged >35 years, living in a geographically distinct part of the UK. The Hull Infarction Project (HIP-2005) employed specialist cardiac nurses to try to identify all patients with ACS admitted during 2005 to the acute assessment or cardiac monitoring units and other medical wards. Case records were reviewed to verify the medical diagnosis, use of loop diuretics and serum concentrations of troponin T (TnT); results of imaging tests were obtained whenever available and treatment at discharge was recorded. The hospital information department provided all death and discharge data for acute MI and a record of all patients reported to the MINAP in 2005. We also received a report of all positive (>0.03 µg/L) TnT tests. Survival status was recorded until June 2014.
HIP-2005 definitions
Clinical criteria
ACS was defined as a diagnosis made by a cardiologist or, if the TnT was elevated, by a cardiac specialist nurse or a non-specialist doctor. ACS was subclassified as an MI or unstable angina by cardiologists. When the cardiologist did not specify, patients who had an elevated TnT or ST segment elevation on the ECG were considered to have had an MI and those who did not were reported as unstable angina. Patients with sudden death or cardiac arrest that was considered likely to be due to an ACS were included in the survey and considered to have had an MI if they had left bundle branch block (LBBB) or ST segment elevation or had a pre-existing increase in TnT.
Assessments of left ventricular function within 1 year after discharge were recorded. Criteria for left ventricular systolic dysfunction (LVSD) were left ventricular ejection fraction <40% or a qualitative report of moderate or severe LVSD on echocardiography, first-pass radionuclide ventriculography or contrast angiography. Serum TnT was defined as positive if >0.03 µg/L and strongly positive if >1.0 µg/L. High-sensitivity TnT was not introduced until after December 2010.
MINAP criteria
The MINAP seeks to enrol all patients with symptoms suggestive of an ACS admitted to the hospital in England and Wales (population ∼50 million),5 although we suspect, in practice, that many hospitals report only patients who have been considered for thrombolysis or coronary intervention. From January 2004 until March 2005, 88 782 patients were reported to have had an MI by the MINAP.6 The discharge diagnosis of ACS is made by the medical staff caring for the patient in the light of standard investigations, including clinical history, ECG and troponin. Patients' data were entered by the clinical audit staff into a central database.5 7
Hospital coding system
The hospital employs specialised coding staff who review and code the case notes of all deaths and discharges regardless of cause, including data from postmortem examinations, using ICD-10.8 The codes are used to generate central returns to the NHS and for reimbursement. Acute MI was coded as I21, subsequent MI as I22, silent MI as I25.6 and complications following acute MI as I23.
Laboratory-positive TnT
Serum TnT (Roche Diagnostics) was measured in a single laboratory for the whole region. Values >0.03 µg/L were considered positive. We collected all positive troponins, and the hospital information department provided us with the discharge diagnosis of patients who had a positive TnT, but were not diagnosed as ACS by any of the other three methods.
Statistical analysis
Data were analysed using SPSS (V.16.0). Categorical data are presented as percentages and continuously distributed data as median and IQR. Estimating the probability of death at day 30, 1 and 3 years was calculated by using moving average estimator curves in patients who had TnT report after dividing them into patients with and without a diagnosis of ACS.
Survival curves are plotted by the Kaplan-Meier method and compared by the log-rank test. An arbitrary level of 5% statistical significance (two-tailed) is assumed.
Results
Overall results
Of 1764 admissions identified with ACS by HIP-2005, 33 were excluded from further analysis because they had been transferred from another region. This left 1439 unique patients with 1731 admissions for the main analysis; of which, 292 were readmissions within the same year, including 148 with one readmission and 55 with multiple readmissions. Of the 1731 admissions identified in HIP-2005, 764 (704 patients and 60 readmissions) were classified as MI and 967 (735 patients and 232 readmissions) as angina (figure 1A). During the index hospitalisation, only about half were managed, at least in part, by a consultant cardiologist and only 199 (14%) patients had percutaneous transluminal coronary angioplasty.
Figure 1.
(A) Incidence of ACS and MI identified by the HIP. (B) Incidence of MI identified by the hospital information department (HID). (C) Incidence of MI identified by the MINAP. (D) Laboratory report of TnT during 2005 and sequence of mortality until the end of 2008. ACS, acute coronary syndromes; HIP, Hull Infarction Project; MI, myocardial infarction; MINAP, Myocardial Infarction National Audit Project; TnT, troponin T.
Using the hospital information department, only 552 admissions with MI (544 patients and 8 readmissions) were identified. Using the MINAP, only 206 admissions (203 patients and 3 readmissions) for MI were identified (figure 1B, C).
Of the 764 admissions (704 patients) identified by HIP-2005 with MI, 388 (381 patients) were also identified by hospital discharge codes and 186 (183 patients) by the MINAP. Hospital discharge codes identified an additional 164 admissions (163 patients) with MI not identified by HIP-2005; of whom, 140 patients had an elevated TnT, including 80 who had values >1.0 µg/L. In addition, five patients were identified as having MI by the MINAP but not by other methods; two of these were identified as angina by HIP-2005, three had a negative troponin and two had no record of troponin being measured. Overall, the three methods of surveillance identified 933 admissions (872 patients) with MI and 1896 admissions (1603 patients) with ACS (figures 2 and 3A, B).
Figure 2.
Incidence of MI in all three data sets HIP, HID and MINAP. HIP, Hull Infarction Project; MI, myocardial infarction; MINAP, Myocardial Infarction National Audit Project.
Figure 3.
(A) Patients with MI identified by HIP, HID and MINAP with highest TnT in 2005. (B) Patients with ACS identified by HIP, HID and MINAP with highest TnT in 2005. ACS, acute coronary syndromes; HIP, Hull Infarction Project; MI, myocardial infarction; MINAP, Myocardial Infarction National Audit Project; TnT, troponin T.
The laboratory reported 7945 TnT tests (2300 with positive TnT) in 5852 patients during 2005. After excluding patients from regions other than those in the hospitals primary catchment area, of the 1679 patients with a positive TnT, 823 patients were not reported as having ACS by any of the other three routes of ascertainment. Eighty-five (10%) of these had values of TnT >1 µg/L. These patients were older than those in the other groups (figure 1D and table 1).
Table 1.
Patient characteristics recorded during the index admission (data are median (IQR) and number occurring (%))
| Variables | ACS-HIP | MI-HIP | MI-HInfoD | MI-MINAP | TnT +ve only | Any case (ACS, MI or TnT +ve) |
|---|---|---|---|---|---|---|
| N | 1439 | 704 | 544 | 203 | 823 | 2426 |
| Age (years) | 67 (58–77) | 69 (59–78) | 71 (60–80) | 65 (56–73) | 77 (69–84) | 72 (61–81) |
| Age >75—men | 181 (21%) | 113 (24%) | 95 (27%) | 18 (13%) | 211 (47%) | 440 (32%) |
| Age >75—women | 224 (38%) | 117 (49%) | 102 (54%) | 18 (29%) | 250 (67%) | 511 (50%) |
| Women | 591 (41%) | 241 (34%) | 189 (35%) | 63 (31%) | 375 (46%) | 1029 (42%) |
| TnT ≥0.03* µg/L | 724 (50%) [34] | 678 (98%) [13] | 510 (99%) [27] | 191 (96%) [4] | 823 | 1698 (71%) [51] |
| TnT >1.0* µg/L | 324 (23%) [34] | 323 (47%) [13] | 335 (65%) [27] | 163 (82%) [4] | 85 (10%) | 491 (21%) [51] |
| History of diabetes | 227 (16%) | 104 (15%) | n | n | 166 (20%) | n |
| History of MI | 246 (17%) | 103 (15%) | n | n | n | n |
| History of hypertension | 541 (38%) | 255 (36%) | n | n | n | n |
| Loop diuretic µg/L | 305 (21%) | 162 (23%) | n | 15 (12%) [81] | n | n |
| Aspirin | 1027 (71%) [2] | 517 (74%) [2] | n | 144 (97%) [55] | n | n |
| ACE inhibitor | 589 (41%) [1] | 374 (53%) [1] | n | 121 (92%) [71] | n | n |
| Angiotension receptor blocker | 82 (6%) [1] | 30 (4%) [1] | n | 2 (3%) [127] | n | n |
| β blocker | 873 (61%) [1] | 473 (67%) [1] | n | 120 (91%) [71] | n | n |
| Aldosterone antagonist | 59 (4%) [1] | 37 (5%) [1] | n | 5 (4%) [82] | n | n |
| Statin | 979 (68%) | 513 (73%) | n | 132 (95%) [64] | n | n |
| Report on LV function available | 703 [736] | 409 [295] | 293 [251] | 125 [78] | 298 [525] | 1055 [1371] |
| LVSD | 236 (34%) | 173 (42%) | 142 (48%) | 47 (38%) | 134 (45%) | 401 (38%) |
| Sodium | 139 (137–141) [18] | 139 (137–140) [2] | 139 (136–140) [3] | 138 (136–140) [1] | 138 (136–141) [8] | 139 (137–141) [27] |
| K | 4.3 (4–4.5) [71] | 4.3 (4–4.6) [23] | 4.3 (4–4.6) [24] | 4.2 (4–4.5) [8] | 4.3 (3.9–4.7) [43] | 4.3 (4.0–4.6) [122] |
| eGFR† | 69 (53–83) [18] | 64 (49–79) [2] | 64 (44–77) [3] | 69 (54–85) [1] | 48 (31–68) [11] | 62 (43–78) [33] |
| eGFR <60‡ | 473 (33%) | 279 (40%) | 230 (43%) [3] | 66 (33%) | 539 (66%) | 1109 (46%) |
| eGFR <30 | 94 (6.5%) | 67 (9.5%) | 66 (12.1%) | 9 (4.4%) | 191 (23%) | 321 (13%) |
| WCC | 8.6 (6.9–10.9) [28] | 9.9 (7.8–12.2) [10] | 10.7 (8.35–13.6) [13] | 10.6 (8.5–13.1) [2] | 10.7 (8.1–14.5) [21] | 9.3 (7.2–9.3) [55] |
| Diabetic | 252 (17.5%) | 119 (16.9%) | 83 (15.3%) | 24 (11.8%) | 166 (20%) | 443 (18%) |
| Anaemia in first available Hb§ | 333 (24%) [27] | 193 (28%) [10] | 165 (31%) [13] | 37 (18%) [2] | 451 (56%) [21] | 861 (36%) [57] |
| In-patient mortality | 87 (6%) | 78 (11%) | 104 (19%) | 10 (5%) | 209 (25%) | 342 (14%) |
| 30-day Mortality | 96 (7%) | 84 (12%) | 101 (19%) | 12 (6%) | 187 (23%) | 343 (14%) |
| One-year mortality | 179 (12%) | 134 (19%) | 149 (27%) | 19 (9%) | 334 (41%) | 597 (25%) |
| Overall mortality by end of 2008 | 301 (21%) | 203 (29%) | 202 (37%) | 29 (14%) | 472 (57%) | 877 (36%) |
| Overall mortality by June 2014 | 542 (38%) | 326 (46%) | 283 (52%) | 55 (27%) | 600 (73%) | 1269 (52%) |
[Numbers in italics in square brackets are numbers of patients with missing data].
Any case means a patient who belonged to any one of the other groups.
*Double-counting is possible because some patients had multiple admissions with a positive troponin, only some of which were identified as admissions with ACS.
†Four-variable formula derived from the modification of diet in renal disease study (4V MDRD), GFR=186×(Creat/88.4)−1.154×Age−0.203×0.742 if female ×1.212 if African Caribbean, was used to estimate the GFR.
‡eGFR <60 was defined as eGFR <60 mL/min/1.73 m2.
§Anaemia: WHO criteria for anaemia are used (man <13 g/dL and woman <12 g/dL).
ACS, acute coronary syndrome; any case, all ACS-HIP (MI and unstable angina in HIP), MI-HID, MI-MINAP and TnT +ve; eGFR, estimated glomerular filtration rate; GFR, glomerular filtration rate; HInfoD, Hospital Information Department; HIP, Hull Infarction Project; LVSD, left ventricular systolic dysfunction; MI, myocardial infarction; MINAP, Myocardial Infarction National Audit Project; TnT +ve, positive troponin T; WCC, white cell count.
For patients enrolled through the HIP-2005 survey, ST segment elevation MI (STEMI) was present in 328 (23%) patients on their first admission, and an additional nine patients had STEMI during readmission. Seventy-one (5%) patients had LBBB; of whom, 43 were diagnosed as having angina and 28 were managed as having MI. Thrombolysis was given to 227 of 356 (64%) patients during their first admission and an additional four patients on readmission. The ‘door-to-needle’ time was available for 228 admissions and the median time was 30 min (IQR 20–63). This compares to 203 patients with STEMI or MI with LBBB identified by the Hull MINAP (of whom, 3 had a further readmission with STEMI); of whom, 197 received thrombolysis with a door-to-needle time of 30 (IQR 20–51) min. Similar data were not available for patients identified by the hospital information department or laboratory TnT.
Table 2 summarises the ICD-10 discharge codes for the 823 patients with positive TnT but not reported as ACS. For the three commonest diagnosis, namely heart failure, infections and chest pain, the median ages were 77 (70–83), 81 (74–88) and 75 (64–82) years; of which, 56 (41%), 64 (50%) and 42 (41%) were women, respectively.
Table 2.
Discharge diagnosis in patients with elevated TnT who were not diagnosed as ACS by any of the three methods of ascertainment (N=823)
| First diagnosis | Second diagnosis | |
|---|---|---|
| Chest pain | 103 | 13 |
| Heart failure | 137 | 27 |
| Stroke | 28 | 5 |
| Seizure | 4 | 0 |
| Cardiac arrest | 10 | 3 |
| Ventricular tachycardia | 16 | 2 |
| Supraventricular tachycardia | 41 | 41 |
| Pulmonary thromboembolism | 15 | 3 |
| Other cardiovascular | 43 | 4 |
| Ischaemic heart disease | 44 | 18 |
| Renal disease | 17 | 46 |
| Cancer | 51 | 11 |
| Septicaemia | 21 | 7 |
| Infection | 129 | 37 |
| Chronic obstructive pulmonary disease | 61 | 5 |
| Trauma or fracture | 35 | 0 |
| Haemorrhage | 2 | 2 |
| Other | 49 | 2 |
| Not reported | 17 | 0 |
ACS, acute coronary syndrome; TnT, troponin T.
Mortality according to TnT during first admission in all patients identified by HIP-2005, HID, MINAP and laboratory-positive TnT
Overall, 2426 individual patients were identified by HIP-2005, HID, MINAP or a positive TnT as potentially having an ACS. Among these, serum TnT was ≤0.03 µg/L in 708, >0.03–1.0 µg/L in 1188, >1.0 µg/L in 474 and was the test not performed in 56 patients (figure 4 and table 3).
Figure 4.
Mortality by the end of 2008 from first admission in all patients with ACS identified by HIP, HID, MINAP and positive TnT in 2005. ACS, acute coronary syndromes; HIP, Hull Infarction Project; MINAP, Myocardial Infarction National Audit Project; TnT, troponin T.
Table 3.
Mortality during index admission, 1 year, by end of 2008 and June 2014 according to serum TnT concentration
| All | In-patient mortality | One-year mortality | Overall mortality by end of 2008 | Overall mortality by June 2014 | |
|---|---|---|---|---|---|
| TnT ≤0.03 µg/L | 708 | 7 (1%) | 42 (6%) | 84 (12%) | 202 (29%) |
| TnT 0.03–1 µg/L | 1188 | 220 (19%) | 393 (49%) | 582 (49%) | 787 (66%) |
| TnT >1 µg/L | 474 | 86 (18%) | 133 (28%) | 180 (38%) | 242 (51%) |
| TnT not reported | 56 | 29 (52%) | 29 (52%) | 31 (55%) | 38 (68%) |
TnT, troponin T.
Of the 1662 patients with elevated TnT, only 839 (50%) were diagnosed with ACS by one of the survey methods. Of the 1547 patients with ACS by at least one survey method, 708 (46%) had a negative TnT. Patients with values of TnT >0.03 µg/L had a higher mortality rate, but mortality was similar regardless of concentration above this (figure 5A). Patients with a positive TnT who were not identified as having ACS (figure 5B) by one of the survey methods had a worse prognosis (41%) at 1 year than those with ACS (figure 5C), whether the patients with ACS were TnT-positive (mortality 23%; p=0.0001) or not (mortality 6%; p=0.0001). Patients with ACS also had worse mortality at 30 days and at 3 years (figure 5B). Survival was poorest in patients with a positive TnT test and no ACS (p<0.001) compared to the other two groups (figure 6).
Figure 5.
Probability of death within 30 days, 1 year and 3 years according to the TnT level in 2005. For all three figures, the Y axis is the probability of death. The X axis is TnT drawn on a log-10 scale. ACS, acute coronary syndromes; TnT, troponin T.
Figure 6.
Survival curves are plotted by the Kaplan-Meier method, showing 3-year mortality according to the TnT level in 2005 in patients with TnT test (TnT-positive–No ACS (n=823), TnT-positive–ACS (n=840) and TnT negative–ACS (n=707)). ACS, acute coronary syndromes; TnT, troponin T.
Loop diuretic and survival after discharge
Information on diuretic treatment was available in 1439 patients with ACS from the HIP-2005 population. Of the 703 patients with TnT ≤0.03 µg/L, 698 survived the index admission and 126 (18%) were discharged on loop diuretic, and 572 were not discharged on a loop diuretic; of whom, 34 (27%) and 42 (7%), respectively, had died by the end of 2008. Of the 700 patients with TnT >0.03 µg/L included in HIP-2005, 633 survived the index admission and 144 (23%) were and 489 (77%) were not discharged on a loop diuretic; of whom, 67 (47%) and 69 (14%) had died by the end of 2008 (figure 7).
Figure 7.
Use of loop diuretics as a general indicator of adverse outcome. ACS, acute coronary syndromes; HIP, Hull Infarction Project; TnT, troponin T.
Left ventricular function
Of the 1352 patients with ACS identified by HIP-2005 who survived the index admission, no record of an assessment of LV function could be identified for 685 (51%) patients from their case notes or hospital systems during the subsequent year. Of the 667 patients who had LV function assessed, 206 patients (30%) had LVSD. Mortality by the end of 2008 was 31% in those with LVSD, 12% in those without LVSD and 14% for those with no report of LV function.
Discussion
The present report demonstrates that the incidence of ACS is highly dependent on the method of ascertainment, with a 10-fold difference depending on the criteria applied. An audit may appear excellent when applied to a subset of carefully selected patients; but when applied to all those requiring care, it may appear poor. We found that no single survey method identified >60% of the 2426 patients who might have had ACS. The incidence of MI also varied threefold depending on the method of ascertainment. Herrett et al9 also indicated that fewer than 50% of MIs reported in electronic records, such as Hospital Episode Statistics (HES) or Clinical Practice Research Database (CPRD), were reported to the MINAP. Our data extend this observation to other methods that can be used to identify patients with ACS. The high mortality among patients with a raised TnT on a ‘first-generation’ assay but who were not identified by any other survey method is also cause for concern. Clearly, surveys that focus on cardiology wards and coronary interventions are likely to miss many patients admitted with ACS to services other than cardiology, especially in high-risk groups such as older people or those with other important medical comorbidities.
Our data from 2005 suggest an annual incidence of MI of 1.56 per thousand population; of ACS of 2.86 per thousand and of ACS or positive TnT of 4.33 per thousand. In our region, using MI identified by hospital discharge statistics alone, the incidence of MI had dropped by 40% from 1.66 per thousand per year in 1998 to 0.97 in 2005. This compares to 64 436 admissions in England for acute MI using hospital episode statistics, which gives a rate of 1.29 per thousand in 2005.10 Of these, 49 017 patients were reported as having STEMI11 and 13 489 with non-STEMI,12 which suggests substantial under-reporting of non-STEMI. However, many previous reports have quoted incidence rates excluding younger people from the denominator.1 If only those people aged >35 years are considered, our local incidence of MI is closer to 3 per thousand. These data are also likely to be an underestimate of the rate of MI in the community, as up to 30% of people with an MI may die before they reach hospital,13 14 and up to 40% of patients who survive an MI do not have symptoms that trigger urgent referral to the hospital.15–18
About half of the patients with a positive TnT were not identified as having ACS by any of the survey methods. There are reasons other than ACS for elevation in TnT, including strenuous exercise, heart failure, trauma, renal failure, sepsis, gastrointestinal bleeding, pulmonary embolism and myocarditis.19–24 Others have also reported a higher mortality rate in patients without coronary disease but with elevated serum troponin.25 It is likely that the clinical diagnosis of ACS was missed in some cases and uncertain in others. Some of these patients may have has, so called, type-2 MI reflecting myocardial energy demand/supply imbalance rather than an acute vascular occlusion.26–28 For instance, in patients with heart failure, TnT is often elevated, especially (although not exclusively) during acute exacerbations.29 Postmortem data suggest that there is a substantial rate of MI in this population that is not associated with classical symptoms.30 31 The high mortality rate among patients with elevated TnT who were not identified as having ACS may well indicate heart and/or renal failure. Newer, high-sensitivity assays for troponin will increase the diagnostic sensitivity for ACS but at the potential cost of a substantial decline in specificity and an increase in diagnostic confusion.32 33 Indeed, these new assays may have greater clinical utility in the heart failure outpatient clinic than in the emergency room.33 34
In contrast to a previous report,35 on far fewer patients, we found that 3-month mortality was similarly high in patients with a raised troponin on a ‘first-generation’ assay whether the elevation was modest or substantial. Our hospital policy, in 2005, was to measure TnT once at least 12 hours after the onset of symptoms. Single measurements may be a poor guide to the extent of myocardial damage. Alternatively, even modest increases in TnT may indicate the presence of unstable plaque and the threat of further events that provoke arrhythmias or cause substantial cardiac damage.
The outcome from MI in our unselected population remains very different from that reported among patients in randomised controlled trials of ACS. The exclusion of high-risk, elderly patients with multiple comorbidities from trials probably accounts for most of the disparity. However, failure to refer patients for cardiology advice and to undertake timely intervention may also contribute to poor outcomes. Nevertheless, in-patient mortality for MI in our hospital dropped from 22% in 1998, a mortality that was consistent with that predicted by the international GRACE score,36 to 11% in 2005; some of this difference might be accounted for by differences in survey method. Since this survey, a regional primary angioplasty service has been implemented that may have improved outcomes further. As noted in the present and previous studies,37 it is patients who develop clinical evidence of heart failure who fare particularly badly. Heart failure precedes the majority of deaths after MI.38 Patients with substantial symptoms or signs of congestion require treatment with loop diuretics and, therefore, their prescription can be considered a sensitive marker of the development of heart failure. However, prescription of loop diuretics may lack specificity for a diagnosis of heart failure; cardiac imaging and biomarkers should be used to confirm the diagnosis.
Conclusion
The incidences of ACS and MI are highly dependent on the method of case ascertainment. Failure to identify older, high-risk patients leads to overoptimistic estimations about the prognosis of ACS, underestimation of the resources needed to manage it and misleading perceptions about the adequacy of care that might lead to complacency. An increase in TnT and the use of diuretics are simple clinical markers of an adverse prognosis. Even a slight elevation in TnT is associated with a poor outcome whether or not a patient is diagnosed with ACS. Mortality was higher among patients with a positive TnT who did not have a documented diagnosis of ACS, which may partly reflect the age and underlying disease in this patient group, but could also reflect suboptimal management of cardiovascular risk.
Acknowledgments
The authors thank the MINAP coordinator (Neil Richardson), the hospital information department (John Taylor) and the chemical pathology laboratory staff (Lisa Dawson). The authors also wish to acknowledge the contribution of Janet Bristow who sadly died before the study was complete. This paper is a part of my thesis.
Footnotes
Contributors: JGFC contributed to study design and wrote the manuscript. NS is responsible for making tables and data collection. PA involved in data collection. HP and KG contributed to statistics and tables. EK is responsible for providing some of the data. ST, AH, FA and ALC are responsible for finding patients and collecting data. AR is responsible for statistics and figures.
Funding: This research was supported by an unrestricted grant from Pfizer. JGFC reports speaker's honoraria and research support from Roche Diagnostics.
Competing interests: None declared.
Ethics approval: Research and development Department of Hull and East Yorkshire.
Provenance and peer review: Not commissioned; externally peer reviewed.
Data sharing statement: No additional data are available.
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