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Pre-hospital One-Hour Troponin in a Low-Prevalence Population of Acute Coronary Syndrome: OUT-ACS study
被引:11
|作者:
Johannessen, Tonje R.
[1
,2
]
Vallersnes, Odd Martin
[1
,2
]
Halvorsen, Sigrun
[3
,4
]
Larstorp, Anne Cecilie K.
[4
,5
]
Mdala, Ibrahimu
[1
]
Atar, Dan
[3
,4
]
机构:
[1] Univ Oslo, Inst Hlth & Soc, Dept Gen Practice, Oslo, Norway
[2] City Oslo Hlth Serv, Oslo Accid & Emergency Outpatient Clin, Oslo, Norway
[3] Oslo Univ Hosp Ullevaal, Dept Cardiol, Oslo, Norway
[4] Univ Oslo, Inst Clin Med, Oslo, Norway
[5] Oslo Univ Hosp Ullevaal, Sect Cardiovasc & Renal Res, Dept Med Biochem, Oslo, Norway
来源:
OPEN HEART
|
2020年
/
7卷
/
02期
关键词:
myocardial ischaemia and infarction (IHD);
acute coronary syndrome;
cardiovascular examination;
general practice;
primary care;
MYOCARDIAL-INFARCTION;
RULE-OUT;
EARLY-DIAGNOSIS;
0-HOUR/1-HOUR ALGORITHM;
PROSPECTIVE VALIDATION;
EUROPEAN-SOCIETY;
SENSITIVITY;
CARE;
D O I:
10.1136/openhrt-2020-001296
中图分类号:
R5 [内科学];
学科分类号:
1002 ;
100201 ;
摘要:
Objective The European Society of Cardiology 0/1-hour algorithm for high-sensitivity cardiac troponin T (hs-cTnT) has demonstrated high rule-out safety in large hospital validation cohorts. We aimed to validate the algorithm in a primary care setting, where patients have a lower pretest probability for acute coronary syndrome. Methods This prospective, observational, diagnostic study included patients with acute non-specific chest pain admitted to a primary care emergency clinic in Oslo, Norway, from November 2016 to October 2018. hs-cTnT was measured after 0, 1 and 4 hours. The primary outcome measure was the diagnostic performance of the 0/1-hour algorithm, the 90-day incidence of AMI or all-cause death the secondary. Results Among 1711 included patients, 61 (3.6%) were diagnosed with AMI. By applying the algorithm, 1311 (76.6%) patients were assigned to the rule-out group. The negative predictive value was 99.9% (95% CI 99.5% to 100.0%), the sensitivity and specificity 98.4% (91.2-100.0) and 79.4% (77.4-81.3), respectively. Sixty-six (3.9%) patients were triaged towards rule-in, where 45 were diagnosed with AMI. The corresponding positive predictive value was 68.2% (58.3-76.7), sensitivity 73.8% (60.9-84.2), and specificity 98.7% (98.1-99.2). Among 334 (19.5%) patients assigned to the observation group in need of further tests, 15 patients had an AMI. The following 90 days, five new patients experienced an AMI and nine patients died, with a low incidence in the rule-out group (0.3%). Conclusion The 0/1-hour algorithm for hs-cTnT seems safe, efficient and applicable for an accelerated assessment of patients with non-specific chest pain in a primary care emergency setting.
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