Diabetes and risk of acute coronary syndrome in callers with chest discomfort: Cross-sectional study in out-of-hours primary care.

AIMS: We investigated the differences in prevalence of acute coronary syndrome (ACS) by presence versus absence of diabetes in males and females with chest discomfort who called out-of-hours primary care (OHS-PC). METHODS: A cross-sectional study performed in the Netherlands. Patients who called the OHS-PC in the Utrecht region, the Netherlands between 2014 and 2017 with acute chest discomfort were included. We compared those with diabetes with those without diabetes. Multivariable logistic regression was used to determine the relation between diabetes and (i) high urgency allocation and (ii) ACS. RESULTS: Of the 2,195 callers with acute chest discomfort, 180 (8.2%) reported having diabetes. ACS was present in 15.3% of males (22.0% in those with diabetes) and 8.4% of females (18.8% in those with diabetes). Callers with diabetes did not receive a high urgency more frequently (74.4% vs. 67.8% (OR: 1.38; 95% CI 0.98-1.96). However, such callers had a higher odds for ACS (OR: 2.17; 95% CI 1.47-3.19). These differences were similar for females and males. CONCLUSIONS: Diabetes holds promise as diagnostic factor in callers to OHS-PC with chest discomfort. It might help triage in this setting given the increased risk of ACS in those with diabetes.

Accuracy of urgency allocation in patients with shortness of breath calling out-of-hours primary care: a cross-sectional study.

BACKGROUND: In out-of-hours primary care (OHS-PC), semi-automatic decision support tools are often used during telephone triage. In the Netherlands, the Netherlands Triage Standard (NTS) is used. The NTS is mainly expert-based and evidence on the diagnostic accuracy of the NTS' urgency allocation against clinically relevant outcomes for patients calling with shortness of breath (SOB) is lacking. METHODS: We included data from adults (≥18 years) who contacted two large Dutch OHS-PC centres for SOB between 1 September 2020 and 31 August 2021 and whose follow-up data about final diagnosis could be retrieved from their own general practitioner (GP). The diagnostic accuracy (sensitivity and specificity with corresponding 95% confidence intervals (CI)) of the NTS' urgency levels (high (U1/U2) versus low (U3/U4/U5) and 'final' urgency levels (including overruling of the urgency by triage nurses or supervising general practitioners (GPs)) was determined with life-threatening events (LTEs) as the reference. LTEs included, amongst others, acute coronary syndrome, pulmonary embolism, acute heart failure and severe pneumonia. RESULTS: Out of 2012 eligible triage calls, we could include 1833 adults with SOB who called the OHS-PC, mean age 53.3 (SD 21.5) years, 55.5% female, and 16.6% showed to have had a LTE. Most often severe COVID-19 infection (6.0%), acute heart failure (2.6%), severe COPD exacerbation (2.1%) or severe pneumonia (1.9%). The NTS urgency level had a sensitivity of 0.56 (95% CI 0.50-0.61) and specificity of 0.61 (95% CI 0.58-0.63). Overruling of the NTS' urgency allocation by triage nurses and/or supervising GPs did not impact sensitivity (0.56 vs. 0.54, p = 0.458) but slightly improved specificity (0.61 vs. 0.65, p < 0.001). CONCLUSIONS: The semi-automatic decision support tool NTS performs poorly with respect to safety (sensitivity) and efficiency (specificity) of urgency allocation in adults calling Dutch OHS-PC with SOB. There is room for improvement of telephone triage in patients calling OHS-PC with SOB. TRIAL REGISTRATION: The Netherlands Trial Register, number: NL9682 .

Shortness of breath as a diagnostic factor for acute coronary syndrome in male and female callers to out-of-hours primary care.

OBJECTIVE: Chest discomfort and shortness of breath (SOB) are key symptoms in patients with acute coronary syndrome (ACS). It is, however, unknown whether SOB is valuable for recognising ACS during telephone triage in the out-of-hours primary care (OHS-PC) setting. METHODS: A cross-sectional study performed in the Netherlands. Telephone triage conversations were analysed of callers with chest discomfort who contacted the OHS-PC between 2014 and 2017, comparing patients with SOB with those who did not report SOB. We determine the relation between SOB and (1) High urgency allocation, (2) ACS and (3) ACS or other life-threatening diseases. RESULTS: Of the 2195 callers with chest discomfort, 1096 (49.9%) reported SOB (43.7% men, 56.3% women). In total, 15.3% men (13.2% in those with SOB) and 8.4% women (9.2% in those with SOB) appeared to have ACS. SOB compared with no SOB was associated with high urgency allocation (75.9% vs 60.8%, OR: 2.03; 95% CI 1.69 to 2.44, multivariable OR (mOR): 2.03; 95% CI 1.69 to 2.44), but not with ACS (10.9% vs 12.0%; OR: 0.90; 95% CI 0.69 to 1.17, mOR: 0.91; 95% CI 0.70 to 1.19) or 'ACS or other life-threatening diseases' (15.0% vs 14.1%; OR: 1.07; 95% CI 0.85 to 1.36, mOR: 1.09; 95% CI 0.86 to 1.38). For women the relation with ACS was 9.2% vs 7.5%, OR: 1.25; 95% CI 0.83 to 1.88, and for men 13.2% vs 17.4%, OR: 0.72; 95% CI 0.51 to 1.02. For 'ACS or other life-threatening diseases', this was 13.0% vs 8.5%, OR: 1.60; 95% CI 1.10 to 2.32 for women, and 7.5% vs 20.8%, OR: 0.81; 95% CI 0.59 to 1.12 for men. CONCLUSIONS: Men and women with chest discomfort and SOB who contact the OHS-PC more often receive high urgency than those without SOB. This seems to be adequate in women, but not in men when considering the risk of ACS or other life-threatening diseases.

Development and validation of a prediction rule for patients suspected of acute coronary syndrome in primary care: a cross-sectional study.

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.

Gender-stratified analyses of symptoms associated with acute coronary syndrome in telephone triage: a cross-sectional study.

OBJECTIVES: To identify clinical variables that are associated with the diagnosis acute coronary syndrome (ACS) in women and men with chest discomfort who contact out-of-hours primary care (OHS-PC) by telephone, and to explore whether there are indications whether these variables differ among women and men. DESIGN: Cross-sectional study in which we compared patient and call characteristics of triage call recordings between women with and without ACS, and men with and without ACS. SETTING: Nine OHS-PC in the Netherlands. PARTICIPANTS: 993 women and 802 men who called OHS-PC for acute chest discomfort (pain, pressure, tightness or discomfort) between 2014 and 2016. PRIMARY OUTCOME MEASURE: Diagnosis of ACS retrieved from the patient's medical record in general practice, including hospital specialists' discharge letters. RESULTS: Among 1795 patients (mean age 58.8 (SD 19.5) years, 55.3% women), 15.0% of men and 8.6% of women had an ACS. In both sexes, retrosternal chest pain was associated with ACS (women with ACS vs without 62.3% vs 40.3%, p=0.002; men with ACS vs without 52.5% vs 39.7%, p=0.032; gender interaction, p=0.323), as was pressing/heavy/tightening pain (women 78.6% vs 61.5%, p=0.011; men 82.1% vs 57.4%, p=<0.001; gender interaction, p=0.368) and radiation to the arm (women 75.6% vs 45.9%, p<0.001; men 56.0% vs 34.8%, p<0.001; gender interaction, p=0.339). Results indicate that only in women were severe pain (65.4% vs 38.1%, p=0.006; gender interaction p=0.007) and radiation to jaw (50.0% vs 22.9%, p=0.007; gender interaction p=0.015) associated with ACS.Ambulances were dispatched equally in women (72.9%) and men with ACS (70.0%). CONCLUSION: Our results indicate there were more similarities than differences in symptoms associated with the diagnosis ACS for women and men. Important exceptions were pain severity and radiation of pain in women. Whether these differences have an impact on predicting ACS needs to be further investigated with multivariable analyses. TRIAL REGISTRATION NUMBER: NTR7331.

Pilot study on identification of incidents in healthcare transitions and concordance between medical records and patient interview data.

OBJECTIVE: To investigate whether transitional incidents can be identified from the medical records of the general practitioners and the hospital and to assess the concordance of transitional incidents between medical records and patient interviews. DESIGN: A pilot study. SETTING: The study was conducted in 2 regions in the Netherlands: a rural and an urban region. PARTICIPANTS: A purposeful sample of patients who experienced a transitional incident or are at high risk of experiencing transitional incidents. MAIN OUTCOME MEASURES: Transitional incidents were identified from both the interviews with patients and medical records and concordance was assessed. We also classified the transitional incidents according to type, severity, estimated cause and preventability. RESULTS: We identified 28 transitional incidents within 78 transitions of which 3 could not be found in the medical records and another 5 could have been missed without the patient as information source. To summarise, 8 (29%) incidents could have been missed using solely medical records, and 7 (25%) using the patients' information exclusively. Concordance in transitional incidents between patient interviews and medical records was 64% (18/28). The majority of the transitional incidents were unsafe situations; however, 43% (12/28) of the incidents reached the patient and 18% (5/28) caused temporary patient harm. Over half of the incidents were potentially preventable. CONCLUSIONS: This pilot study suggests that the majority of transitional incidents can be identified from medical records of the general practitioner and hospital. With this information, we aim to develop a measurement tool for transitional incidents in the medical record of general practitioner and hospital.