Telecardiology on the Diagnostic Support of Chest Pain in Twenty-Two Emergency Care Units (UPA 24h) in The State of Rio de Janeiro

Farah, Simone;Andréa, Bruno Rustum;Silva, Rogério Casemiro Da;Monteiro, Alexandra

Description

Abstract Background: Telecardiology may be a useful support in diagnosis and management of chest pain. Objective: Evaluate the application of telecardiology to support the differential diagnosis of chest pain in patients admitted to Emergency Care Units. Method: Observational, retrospective and documental study of 5,816 patients admitted with supposedly cardiological chest pain in twenty two Emergency Care Units in the state of Rio de Janeiro. Data were tabulated and analyzed by Excel® software, using simple descriptive statistics, from the database of the Cardiology Consultancy Nucleus. Results: Diagnostic disagreement was found in 1,593 (27.39%) cases. Of these, 1,477 (92.72%) were diagnosed locally as non-ST-elevation myocardial infarction (non-STEMI), 74 (4.64%) as acute myocardial infarction with ST-segment elevation (STEMI), 40 (2.52%) as acute pulmonary edema (APE) and 2 (0.12%) as tachyarrhythmia. Intensive care referral was requested to 100% of these patients. After telecardiology, the diagnoses were: 385 (24.17%) unstable angina, 289 (18.14%) congestive heart failure, 212 (13.31%) APE, 174 (10.92%) STEMI, 152 (9.54%) hypertensive emergency, 113 (7.09%) acute chronic renal failure, 89 (5.59%) non-STEMI, 89 (5.59%) pneumonia, 39 (2.45%) sepsis, 26 (1.63 %) myopericarditis, 20 (1.26%) tachyarrhythmia and 5 (0.31%) orovalvar disease. The outcome after telecardiology was 1,178 discharges (73.94%), 338 (21.21%) referrals, 62 (3.90%) deaths and 15 (0.95%) unknown. Conclusion: Telecardiology was effective in chest pain diagnosis and management, optimizing hospital admission in the public health system.

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Metrics

Dataset Index

0.4

FAIR Score

81%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

SciELO journals

License

Creative Commons Attribution 4.0 International

Assigned Domain

Subfield

Cardiology and Cardiovascular Medicine

Field

Medicine

Domain

Health Sciences

Confidence Score

57%

Source

Scholar Data Model

Keywords

Cardiology

Normalization Factors

FT

65.38

CTw

1.00

MTw

1.00