Key result
Non-cardiology admission for flat-curve troponin chest pain linked to ~27% 6-month mortality.
Why the study?
Patients presenting with chest pain, elevated cTn, and a flat curve (Δ<20%) represent a diagnostic grey zone because current guidelines do not clearly associate this pattern with ACS.
Does initial management strategy (admission to cardiology, admission to another department, or discharge from the emergency department) stratify six-month mortality and MACE in patients with suspected ACS and a cardiac troponin flat curve?
Cohort (n=753)
Does initial management strategy (admission to cardiology, admission to another department, or discharge from the emergency department) stratify six-month mortality and MACE in patients with suspected ACS and a cardiac troponin flat curve?
In patients presenting with chest pain and a flat high-sensitivity troponin curve, ACS cannot be excluded (78.7% ACS rate in cardiology admissions), but integrating clinical, ECG, and echocardiographic findings enables safe emergency department discharge with low 6-month mortality (3.7%).
Answers are grounded in this paper and cite their sources.
Disposition stratified mortality in flat-curve troponin patients; leaves open optimal pathway selection in prospective studies.
Introduction Acute myocardial injury is defined by cardiac troponin (cTn) levels above the 99th percentile with a dynamic rise/fall pattern (Δ), usually suggesting acute coronary syndrome (ACS) when associated with compatible symptoms. However, patients presenting with chest pain, elevated cTn and a Δ<20% (flat curve) represent a diagnostic grey zone, as current guidelines do not clearly associate this pattern with ACS. We aimed to analyze clinical characteristics, management strategies and six-month outcomes of these patients according to initial management: admission to cardiology, admission to another department or discharge from the emergency department. Methods We prospectively analyzed 753 consecutive patients with suspected ACS and a cTn-flat-curve (Δ<20% in two high-sensitivity cTn-T determinations at 0 and 3 hours) between May 2023 and January 2026. Six-month follow-up was available in 614 patients (median 185 days). Results Mean age was 75.7±11.9 years and 63.3% were male. Management differed significantly across groups. As detailed in Table 1 and Table 2, patients admitted to cardiology were younger (71.6±12.7 years), more frequently male, and more often presented with high-probability ischemic chest pain, dynamic ECG changes and new wall motion abnormalities. They underwent coronary angiography in 90.8% of cases and were diagnosed with ACS in 78.7%. Patients admitted to other departments were older (80.8±9.7 years), had a higher prevalence of atrial fibrillation, heart failure, chronic kidney disease and oncological disease, and more frequently presented with low-probability symptoms. This group showed the highest six-month mortality (26.5%) and MACE rate (32.6%). Discharged patients had lower troponin levels, fewer high-risk clinical findings and low six-month mortality (3.7%), supporting the safety of discharge when guided by comprehensive clinical assessment. Conclusions In patients with suspected ACS and a cTn-flat-curve, management decisions reflected distinct clinical profiles and were strongly associated with outcomes. A flat troponin pattern did not exclude ACS, and careful integration of clinical, ECG and echocardiographic findings allowed appropriate risk stratification and safe discharge in selected patients.
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García et al. (2026) conducted a cohort in Suspected acute coronary syndrome with chest pain and cardiac troponin flat curve (n=753). Initial management strategy (admission to cardiology vs admission to another department vs ED discharge) vs. Discharge from the emergency department was evaluated on Six-month mortality and major adverse cardiovascular events (MACE). Initial management of flat-curve troponin chest pain stratified risk: cardiology admission yielded 78.7% ACS, non-cardiology admission 26.5% 6-month mortality, and ED discharge 3.7% mortality.
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