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Manten A, Harskamp RE, Busschers WB, Moll van Charante EP, Himmelreich JCL. Telephone triage of chest pain in out-of-hours primary care: external validation of a symptom-based prediction rule to rule out acute coronary syndromes. Fam Pract 2024:cmae028. [PMID: 38801727 DOI: 10.1093/fampra/cmae028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/29/2024] Open
Abstract
INTRODUCTION Telephone triage is pivotal for evaluating the urgency of patient care, and in the Netherlands, the Netherlands Triage Standard (NTS) demonstrates moderate discrimination for chest pain. To address this, the Safety First Prediction Rule (SFPR) was developed to improve the safety of ruling out acute coronary syndrome (ACS) during telephone triage. METHODS We conducted an external validation of the SFPR using data from the TRACE study, a retrospective cohort study in out-of-hours primary care. We evaluated the diagnostic accuracy assessment for ACS, major adverse cardiovascular events (MACE), and major events within 6 weeks. Moreover, we compared its performance with that of the NTS algorithm. RESULTS Among 1404 included patients (57.3% female, 6.8% ACS, 8.6% MACE), the SFPR demonstrated good discrimination for ACS (C-statistic: 0.79; 95%-CI: 0.75-0.83) and MACE (C-statistic: 0.79; 95%-CI: 0.0.76-0.82). Calibration was satisfactory, with overestimation observed in high-risk patients for ACS. The SFPR (risk threshold 2.5%) trended toward higher sensitivity (95.8% vs. 86.3%) and negative predictive value (99.3% vs. 97.6%) with a lower negative likelihood ratio (0.10 vs. 0.34) than the NTS algorithm. CONCLUSION The SFPR proved robust for risk stratification in patients with acute chest pain seeking out-of-hours primary care in the Netherlands. Further prospective validation and implementation are warranted to refine and establish the rule's clinical utility.
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Affiliation(s)
- Amy Manten
- Department of General Practice, Amsterdam UMC, University of Amsterdam, Academic Medical Center, Amsterdam 1105 AZ, The Netherlands
- Amsterdam Public Health, Personalized Medicine, Amsterdam, The Netherlands
- Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands
| | - Ralf E Harskamp
- Department of General Practice, Amsterdam UMC, University of Amsterdam, Academic Medical Center, Amsterdam 1105 AZ, The Netherlands
- Amsterdam Public Health, Personalized Medicine, Amsterdam, The Netherlands
- Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands
| | - Wim B Busschers
- Department of General Practice, Amsterdam UMC, University of Amsterdam, Academic Medical Center, Amsterdam 1105 AZ, The Netherlands
| | - Eric P Moll van Charante
- Department of General Practice, Amsterdam UMC, University of Amsterdam, Academic Medical Center, Amsterdam 1105 AZ, The Netherlands
- Amsterdam Public Health, Personalized Medicine, Amsterdam, The Netherlands
- Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands
- Department of Public & Occupational Health, Amsterdam UMC, University of Amsterdam, Academic Medical Center, Amsterdam 1105 AZ, The Netherlands
| | - Jelle C L Himmelreich
- Department of General Practice, Amsterdam UMC, University of Amsterdam, Academic Medical Center, Amsterdam 1105 AZ, The Netherlands
- Amsterdam Public Health, Personalized Medicine, Amsterdam, The Netherlands
- Amsterdam Cardiovascular Sciences, Amsterdam, The Netherlands
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Wouters LTCM, Zwart DLM, Erkelens DCA, Adriaansen EJM, den Ruijter HM, De Groot E, Damoiseaux RAMJ, Hoes AW, van Smeden M, Rutten FH. Development and validation of a prediction rule for patients suspected of acute coronary syndrome in primary care: a cross-sectional study. BMJ Open 2022; 12:e064402. [PMID: 36198462 PMCID: PMC9535154 DOI: 10.1136/bmjopen-2022-064402] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
Abstract
OBJECTIVE To develop and validate a symptom-based prediction rule for early recognition of acute coronary syndrome (ACS) in patients with acute chest discomfort who call out-of-hours services for primary care (OHS-PC). DESIGN Cross-sectional study. A diagnostic prediction rule was developed with multivariable regression analyses. All models were validated with internal-external cross validation within seven OHS-PC locations. Both age and sex were analysed as statistical interaction terms, applying for age non-linear effects. SETTING Seven OHS-PC in the Netherlands. PARTICIPANTS 2192 patients who called OHS-PC for acute chest discomfort (pain, pressure, tightness or discomfort) between 2014 and 2017. Backed up recordings of telephone triage conversations were analysed. PRIMARY AND SECONDARY OUTCOMES MEASURES Diagnosis of ACS retrieved from the patient's medical records in general practice, including hospital specialists discharge letters. Performance of the prediction rules was calculated with the c-statistic and the final model was chosen based on net benefit analyses. RESULTS Among the 2192 patients who called the OHS-PC with acute chest discomfort, 8.3% females and 15.3% males had an ACS. The final diagnostic model included seven predictors (sex, age, acute onset of chest pain lasting less than 12 hours, a pressing/heavy character of the pain, radiation of the pain, sweating and calling at night). It had an adjusted c-statistic of 0.77 (95% CI 0.74 to 0.79) with good calibration. CONCLUSION The final prediction model for ACS has good discrimination and calibration and shows promise for replacing the existing telephone triage rules for patients with acute chest discomfort in general practice and OHS-PC. TRIAL REGISTRATION NUMBER NTR7331.
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Affiliation(s)
- Loes T C M Wouters
- Department of General Practice, Julius Center for Health Sciences and Primary Care, Utrecht, The Netherlands
| | - Dorien L M Zwart
- Department of General Practice, Julius Center for Health Sciences and Primary Care, Utrecht, The Netherlands
| | - Daphne C A Erkelens
- Department of General Practice, Julius Center for Health Sciences and Primary Care, Utrecht, The Netherlands
| | - Elisabeth J M Adriaansen
- Department of General Practice, Julius Center for Health Sciences and Primary Care, Utrecht, The Netherlands
| | - Hester M den Ruijter
- Department of Experimental Cardiology, Utrecht University, Utrecht, The Netherlands
| | - Esther De Groot
- Julius Center for Health Sciences and Primary Care, Utrecht University, Utrecht, The Netherlands
| | - Roger A M J Damoiseaux
- Department of General Practice, Julius Center for Health Sciences and Primary Care, Utrecht, The Netherlands
| | - Arno W Hoes
- Department of General Practice, Julius Center for Health Sciences and Primary Care, Utrecht, The Netherlands
| | - Maarten van Smeden
- Department of Methodology, Julius Center for Health Sciences and Primary Care, Utrecht, The Netherlands
| | - Frans H Rutten
- Department of General Practice, Julius Center for Health Sciences and Primary Care, Utrecht, The Netherlands
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Alotaibi A, Body R, Carley S, Pennington E. Towards enhanced telephone triage for chest pain: a Delphi study to define life-threatening conditions that must be identified. BMC Emerg Med 2021; 21:158. [PMID: 34911466 PMCID: PMC8672334 DOI: 10.1186/s12873-021-00553-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2021] [Accepted: 12/01/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Improving telephone triage for patients with chest pain has been identified as a national research priority. However, there is a lack of strong evidence to define the life-threatening conditions (LTCs) that telephone triage ought to identify. Therefore, we aimed to build consensus for the LTCs associated with chest pain that ought to be identified during telephone triage for emergency calls. METHODS We conducted a Delphi study in three rounds. Twenty experts in pre-hospital care and emergency medicine experience from the UK were invited to participate. In round I, experts were asked to list all LTCs that would require priority 1, 2, and 4 ambulance responses. Round II was a ranking evaluation, and round III was a consensus round. Consensus level was predefined at > = 70%. RESULTS A total of 15 participants responded to round one and 10 to rounds two and three. Of 185 conditions initially identified by the experts, 26 reached consensus in the final round. Ten conditions met consensus for requiring priority 1 response: oesophageal perforation/rupture; ST elevation myocardial infarction; non-ST elevation myocardial infarction with clinical compromise (defined, also by consensus, as oxygen saturation < 90%, heart rate < 40/min or systolic blood pressure < 90 mmHg); acute heart failure; cardiac tamponade; life-threatening asthma; cardiac arrest; tension pneumothorax and massive pulmonary embolism. An additional six conditions met consensus for priority 2 response, and three for priority 4 response. CONCLUSION Using expert consensus, we have defined the LTCs that may present with chest pain, which ought to receive a high-priority ambulance response. This list of conditions can now form a composite primary outcome for future studies to derive and validate clinical prediction models that will optimise telephone triage for patients with a primary complaint of chest pain.
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Affiliation(s)
- Ahmed Alotaibi
- Division of Cardiovascular Sciences, Core Technology Facility, University of Manchester, 46 Grafton St, Manchester, M13 9WU, UK.
- College of Applied Medical Sciences, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia.
| | - Richard Body
- Division of Cardiovascular Sciences, Core Technology Facility, University of Manchester, 46 Grafton St, Manchester, M13 9WU, UK
- Emergency Department, Manchester University NHS Foundation Trust, Manchester, UK
| | - Simon Carley
- Emergency Department, Manchester University NHS Foundation Trust, Manchester, UK
- Faculty of Health, Social Care & Psychology, Manchester Metropolitan University, Manchester, UK
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Alotaibi A, Alghamdi A, Reynard C, Body R. Accuracy of emergency medical services (EMS) telephone triage in identifying acute coronary syndrome (ACS) for patients with chest pain: a systematic literature review. BMJ Open 2021; 11:e045815. [PMID: 34433592 PMCID: PMC8388270 DOI: 10.1136/bmjopen-2020-045815] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
OBJECTIVE To systematically appraise the available evidence to determine the accuracy of decision aids for emergency medical services (EMS) telephone triage of patients with chest pain suspected to be caused by acute coronary syndrome (ACS) or life-threatening conditions. DESIGN Systematic review. DATA SOURCES Electronic searches were performed in Embase 1974, Medline 1946 and CINAHL 1937 databases from 3 March 2020 to 4 March 2020. ELIGIBILITY CRITERIA The review included all types of original studies that included adult patients (>18 years) who called EMS with a primary complaint of chest pain and evaluated dispatch triage priority by telephone. Outcomes of interest were a final diagnosis of ACS, acute myocardial infarction or other life-threatening conditions. DATA EXTRACTION AND SYNTHESIS Two authors independently extracted data on study design, population, study period, outcome and all data for assessment of accuracy, including cross-tabulation of triage priority against the outcomes of interest. Risk of bias was assessed using the Quality Assessment of Diagnostic Accuracy Studies 2 assessment tool. RESULTS Searches identified 553 papers, of which 3 were eligible for inclusion. Those reports described the evaluation of three different prediction models with variation in the variables used to detect ACS. The overall results showed that dispatch triage tools have good sensitivity to detect ACS and life-threatening conditions, even though they are used to triage signs and symptoms rather than diagnosing the patients. On the other hand, prediction models were built to detect ACS and life-threatening conditions, and therefore, prediction models showed better sensitivity and negative predictive value than dispatch triage tools. CONCLUSION We have identified three prediction models for telephone triage of patients with chest pain. While they have been found to have greater accuracy than standard EMS dispatch systems, prospective external validation is essential before clinical use is considered. PROSPERO REGISTRATION NUMBER This systematic review was pre-registered on the International prospective register of systematic reviews (PROSPERO) database (reference CRD42020171184).
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Affiliation(s)
- Ahmed Alotaibi
- Division of Cardiovascular sciences, University of Manchester, Manchester, UK
- Emergency Medical Services, College of Applied Medical Sciences, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
| | - Abdulrhman Alghamdi
- Division of Cardiovascular sciences, University of Manchester, Manchester, UK
- Emergency Medical Services, College of Applied Medical Sciences, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia
- King Abdullah International Medical Research Center, Riyadh, Saudi Arabia
| | - Charles Reynard
- Division of Cardiovascular sciences, University of Manchester, Manchester, UK
- Emergency Department, Manchester University NHS Foundation Trust, Manchester, UK
| | - Richard Body
- Division of Cardiovascular sciences, University of Manchester, Manchester, UK
- Emergency Department, Manchester University NHS Foundation Trust, Manchester, UK
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DeVon HA, Daya MR, Knight E, Brecht ML, Su E, Zegre-Hemsey J, Mirzaei S, Frisch S, Rosenfeld AG. Unusual Fatigue and Failure to Utilize EMS Are Associated With Prolonged Prehospital Delay for Suspected Acute Coronary Syndrome. Crit Pathw Cardiol 2020; 19:206-212. [PMID: 33009074 PMCID: PMC7669539 DOI: 10.1097/hpc.0000000000000245] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
BACKGROUND Rapid reperfusion reduces infarct size and mortality for acute coronary syndrome (ACS), but efficacy is time dependent. The aim of this study was to determine if transportation factors and clinical presentation predicted prehospital delay for suspected ACS, stratified by final diagnosis (ACS vs. no ACS). METHODS A heterogeneous sample of emergency department (ED) patients with symptoms suggestive of ACS was enrolled at 5 US sites. Accelerated failure time models were used to specify a direct relationship between delay time and variables to predict prehospital delay by final diagnosis. RESULTS Enrolled were 609 (62.5%) men and 366 (37.5%) women, predominantly white (69.1%), with a mean age of 60.32 (±14.07) years. Median delay time was 6.68 (confidence interval 1.91, 24.94) hours; only 26.2% had a prehospital delay of 2 hours or less. Patients presenting with unusual fatigue [time ratio (TR) = 1.71, P = 0.002; TR = 1.54, P = 0.003, respectively) or self-transporting to the ED experienced significantly longer prehospital delay (TR = 1.93, P < 0.001; TR = 1.71, P < 0.001, respectively). Predictors of shorter delay in patients with ACS were shoulder pain and lightheadedness (TR = 0.65, P = 0.013 and TR = 0.67, P = 0.022, respectively). Predictors of shorter delay for patients ruled out for ACS were chest pain and sweating (TR = 0.071, P = 0.025 and TR = 0.073, P = 0.032, respectively). CONCLUSION Patients self-transporting to the ED had prolonged prehospital delays. Encouraging the use of EMS is important for patients with possible ACS symptoms. Calling 911 can be positively framed to at-risk patients and the community as having advanced care come to them because EMS capabilities include 12-lead ECG acquisition and possibly high-sensitivity troponin assays.
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Affiliation(s)
- Holli A. DeVon
- University of California Los Angeles, School of Nursing, Los Angeles, CA, USA
| | - Mohamud R. Daya
- Oregon Health & Science University, School of Medicine, Portland, OR, USA
| | - Elizabeth Knight
- Oregon Health & Science University, School of Nursing, Portland, OR, USA
| | - Mary-Lynn Brecht
- University of California Los Angeles, School of Nursing, Los Angeles, CA, USA
| | - Erica Su
- University of California Los Angeles, Department of Biostatistics, Los Angeles, CA, USA
| | | | - Sahereh Mirzaei
- University of California Los Angeles, School of Nursing, Los Angeles, CA, USA
| | - Stephanie Frisch
- University of Pittsburgh, School of Nursing, Pittsburgh, PA, USA
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Schumacher B. [Not Available]. MMW Fortschr Med 2020; 162:10. [PMID: 32072555 DOI: 10.1007/s15006-020-0131-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
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