Usefulness of postoperative heart rate as an independent predictor of mortality after coronary bypass grafting

A Comprehensive Secondary Prevention Benchmark (2PBM) Score Identifying Differences in Secondary Prevention Care in Patients After Acute Coronary Syndrome

PURPOSE

The objective of this study was to quantify secondary prevention care by creating a secondary prevention benchmark (2PBM) score for patients undergoing ambulatory cardiac rehabilitation (CR) after acute coronary syndrome (ACS).

METHODS

In this observational cohort study, 472 consecutive ACS patients who completed the ambulatory CR program between 2017 and 2019 were included. Benchmarks for secondary prevention medication and clinical and lifestyle targets were predefined and combined in the comprehensive 2PBM score with maximum 10 points. The association of patient characteristics and achievement rates of components and the 2PBM were assessed using multivariable logistic regression analysis.

RESULTS

Patients were on average 62 ± 11 yr of age and predominantly male (n = 406; 86%). The types of ACS were ST-elevation myocardial infarction (STEMI) in 241 patients (51%) and non-ST-elevation myocardial infarction in 216 patients (46%). Achievement rates for components of the 2PBM were 71% for medication, 35% for clinical benchmark, and 61% for lifestyle benchmark. Achievement of medication benchmark was associated with younger age (OR = 0.979: 95% CI, 0.959-0.996, P = .021), STEMI (OR = 2.05: 95% CI, 1.35-3.12, P = .001), and clinical benchmark (OR = 1.80: 95% CI, 1.15-2.88, P = .011). Overall ≥8 of 10 points were reached by 77% and complete 2PBM by 16%, which was independently associated with STEMI (OR = 1.79: 95% CI, 1.06-3.08, P = .032).

CONCLUSIONS

Benchmarking with 2PBM identifies gaps and achievements in secondary prevention care. ST-elevation myocardial infarction was associated with the highest 2PBM scores, suggesting best secondary prevention care in patients after ST-elevation myocardial infarction.

No Association of Early Postoperative Heart Rate With Outcomes After Coronary Artery Bypass Grafting

BACKGROUND

Elevated perioperative heart rate potentially causes perioperative myocardial injury because of imbalance in oxygen supply and demand. However, large multicenter studies evaluating early postoperative heart rate and major adverse cardiac and cerebrovascular events (MACCEs) are lacking.

OBJECTIVE

To assess the associations of 4 postoperative heart rate assessment methods with in-hospital MACCEs after elective coronary artery bypass grafting (CABG).

METHODS

Using data from the eICU Collaborative Research Database in the United States from 2014 to 2015, the study evaluated postoperative heart rate measured during hospitalization within 24 hours after intensive care unit admission. Four heart rate assessment methods were evaluated: maximum heart rate, duration above heart rate 100/min, area above heart rate 100/min, and time-weighted average heart rate. The outcome was in-hospital MACCEs, defined as a composite of in-hospital death, myocardial infarction, angina, arrhythmia, heart failure, stroke, cardiac arrest, or repeat revascularization.

RESULTS

Among 2585 patients, the crude rate of in-hospital MACCEs was 6.2%. In multivariable logistic regression analysis, the adjusted odds ratios (95% CI) for in-hospital MAC-CEs assessed by maximum heart rate in each heart rate category (beats per minute: >100-110, >110-120, >120-130, and >130) were 1.43 (0.95-2.15), 0.98 (0.56-1.64), 1.47 (0.76-2.69), and 1.71 (0.80-3.35), respectively. Similarly, none of the other 3 methods were associated with MACCEs.

CONCLUSIONS

More research is needed to assess the usefulness of heart rate measurement in patients after CABG.

Predictive Value of Increased Perioperative Heart Rate for All-Cause Mortality After Cardiac Surgery: A Systematic Review and Meta-Analysis

Background: Accumulated studies have revealed that heart rates are associated with all-cause mortality in cardiac surgery patients, but the results remain controversial. This meta-analysis aimed to evaluate the predictive value of increased perioperative heart rate for all-cause mortality after cardiac surgery. Methods: We searched PubMed, Embase, Web of Science, and Cumulative Index of Nursing and Allied Health Literature (CINAHL) databases for studies from inception to October 11, 2021. Two researchers independently screened the studies. Titles, authors, publication years, and hazard ratios were extracted. We used a random-effects model to combine the HRs and 95% confidence intervals. Several subgroup analyses were conducted. Statistical significance was set at p < .05. Results: Eleven studies were included in the meta-analysis of 33,849 patients and 3166 (9.4%) deaths. The HR of higher perioperative heart rates was 2.09 (95% CI 1.53-2.86, p < .001, I² = 81%). The HR with a 10-bpm increase in preoperative heart rate was 1.19 (95% CI 1.11-1.26, p < .001, I² = 51%). Subgroup analysis showed patients with higher preoperative heart rates had an HR of 1.88 (95% CI 1.51-2.34, p < .001, I² = 0%), and patients with a higher postoperative heart rate had an HR of 2.29 (95% CI 1.28- 4.09, p < .0001, I² = 91%) compared to patients with lower postoperative heart rates. Conclusion: Increased perioperative heart rate is associated with all-cause mortality in patients undergoing cardiac surgery.

Usefulness of Discharge Resting Heart Rate to Predict Adverse Cardiovascular Outcomes in Patients With Left Main Coronary Artery Disease Revascularized With Percutaneous Coronary Intervention vs Coronary Artery Bypass Grafting (from the EXCEL Trial)

The prognostic impact of resting heart rate (RHR) following revascularization with percutaneous coronary intervention (PCI) or coronary artery bypass grafting (CABG) in patients with left main coronary artery disease (LMCAD) is unknown. We aimed to assess the effect of RHR at discharge on 3-year cardiovascular outcomes following PCI and CABG for LMCAD. In the EXCEL trial, 1,905 patients with LMCAD were randomized to PCI with everolimus-eluting stents versus CABG. RHR was measured at discharge following the index hospitalization. The principal outcome measure was the composite endpoint of death, myocardial infarction (MI) or stroke at 3 years. Among 1,303 patients in sinus rhythm with available ECGs, the median (IQR) discharge RHR was 72 (62to 81) bpm. Median discharge RHR was higher after CABG versus PCI (78 [IQR 70 to 86] versus 65 [IQR 59 to 74] bpm, p <0.0001). At 3 years, 107 patients (8.2%) had a primary composite endpoint event including 61 patients (4.7%) who died. By multivariable analysis, discharge RHR assessed as a continuous variable (per 5 bpm) was an independent predictor at 3 years of the primary composite endpoint of death, MI, or stroke (hazard ratio [HR] 1.15, 95% confidence interval [CI] 1.06 to 1.25, p = 0.0006); the secondary composite endpoint of death, MI, stroke, or ischemia-driven revascularization at 3 years (HR 1.12, 95% CI 1.05 to 1.19, p = 0.0007); all-cause mortality (HR 1.18, 95% CI 1.07 to 1.31, p = 0.002); and cardiovascular death (HR 1.16, 95% CI 1.00 to 1.33, p = 0.046). No significant interactions were present between RHR and treatment with PCI versus CABG for the primary (p_int = 0.20) or secondary (p_int = 0.47) composite endpoints. In patients with LMCAD undergoing revascularization, an increased RHR at discharge was associated with a higher risk for adverse cardiovascular outcomes at 3 years, irrespective of treatment modality.

Heart Rate as a Predictor of Outcome Following Percutaneous Coronary Intervention

Data from previous studies of patients with heart failure and coronary artery disease suggest that those with higher resting heart rates (HRs) have worse cardiovascular outcomes. We sought to evaluate whether HR immediately before percutaneous coronary intervention (PCI) is an independent predictor for 30-day outcome. We analyzed the outcome of 3,720 patients who had HR recorded before PCI from the Melbourne Interventional Group registry. HR and outcomes were analyzed by quintiles, and secondarily by dichotomizing into <70 or ≥70 beats/min. Patients with cardiogenic shock, intra-aortic balloon pump or inotropic support, and out-of-hospital arrest were excluded. The mean ± SD HR was 70.9 ± 14.7 beats/min. HR by quintile was 55 ± 5, 64 ± 2, 70 ± 1, 77 ± 3, and 93 ± 13 beats/min, respectively. Patients with higher HR were more likely to be women, current smokers, have higher systolic and diastolic blood pressure, atrial fibrillation, recent heart failure, lower ejection fraction, and ST-elevation myocardial infarction as the indication for the PCI (all p ≤0.002). However, rates of treated hypertension, multivessel disease, previous myocardial infarction, PCI, and coronary bypass surgery were lower (all p ≤0.004). Increased HR was associated with higher 30-day mortality (p for trend = 0.04), target vessel revascularization (p for trend = 0.003), and 30-day major adverse cardiac events (MACE) (p for trend = 0.004). In a multivariable analysis, HR was an independent predictor of 30-day MACE (OR 1.21 per quintile; 95% confidence interval (CI): 1.06 to 1.39, p = 0.004). When dichotomized into <70 or ≥70 beats/min, HR independently predicted both 30-day MACE (OR 1.59, 95% CI 1.08 to 2.36, p = 0.02) and 30-day mortality (OR 2.80, 95% CI 1.10 to 7.08, p = 0.03). In conclusion, HR immediately before PCI is an independent predictor of adverse 30-day cardiovascular outcomes.

Using nationwide ‘big data’ from linked electronic health records to help improve outcomes in cardiovascular diseases: 33 studies using methods from epidemiology, informatics, economics and social science in the ClinicAl disease research using LInked Bespoke studies and Electronic health Records (CALIBER) programme

Background

Electronic health records (EHRs), when linked across primary and secondary care and curated for research use, have the potential to improve our understanding of care quality and outcomes.

Objective

To evaluate new opportunities arising from linked EHRs for improving quality of care and outcomes for patients at risk of or with coronary disease across the patient journey.

Design

Epidemiological cohort, health informatics, health economics and ethnographic approaches were used.

Setting

230 NHS hospitals and 226 general practices in England and Wales.

Participants

Up to 2 million initially healthy adults, 100,000 people with stable coronary artery disease (SCAD) and up to 300,000 patients with acute coronary syndrome.

Main outcome measures

Quality of care, fatal and non-fatal cardiovascular disease (CVD) events.

Data platform and methods

We created a novel research platform [ClinicAl disease research using LInked Bespoke studies and Electronic health Records (CALIBER)] based on linkage of four major sources of EHR data in primary care and national registries. We carried out 33 complementary studies within the CALIBER framework. We developed a web-based clinical decision support system (CDSS) in hospital chest pain clinics. We established a novel consented prognostic clinical cohort of SCAD patients.

Results

CALIBER was successfully established as a valid research platform based on linked EHR data in nearly 2 million adults with > 600 EHR phenotypes implemented on the web portal (seehttps://caliberresearch.org/portal). Despite national guidance, key opportunities for investigation and treatment were missed across the patient journey, resulting in a worse prognosis for patients in the UK compared with patients in health systems in other countries. Our novel, contemporary, high-resolution studies showed heterogeneous associations for CVD risk factors across CVDs. The CDSS did not alter the decision-making behaviour of clinicians in chest pain clinics. Prognostic models using real-world data validly discriminated risk of death and events, and were used in cost-effectiveness decision models.

Conclusions

Emerging ‘big data’ opportunities arising from the linkage of records at different stages of a patient’s journey are vital to the generation of actionable insights into the diagnosis, risk stratification and cost-effective treatment of people at risk of, or with, CVD.

Future work

The vast majority of NHS data remain inaccessible to research and this hampers efforts to improve efficiency and quality of care and to drive innovation. We propose three priority directions for further research. First, there is an urgent need to ‘unlock’ more detailed data within hospitals for the scale of the UK’s 65 million population. Second, there is a need for scaled approaches to using EHRs to design and carry out trials, and interpret the implementation of trial results. Third, large-scale, disease agnostic genetic and biological collections linked to such EHRs are required in order to deliver precision medicine and to innovate discovery.

Study registration

CALIBER studies are registered as follows: study 2 – NCT01569139, study 4 – NCT02176174 and NCT01164371, study 5 – NCT01163513, studies 6 and 7 – NCT01804439, study 8 – NCT02285322, and studies 26–29 – NCT01162187. Optimising the Management of Angina is registered as Current Controlled Trials ISRCTN54381840.

Funding

The National Institute for Health Research (NIHR) Programme Grants for Applied Research programme (RP-PG-0407-10314) (all 33 studies) and additional funding from the Wellcome Trust (study 1), Medical Research Council Partnership grant (study 3), Servier (study 16), NIHR Research Methods Fellowship funding (study 19) and NIHR Research for Patient Benefit (study 33).

Resting heart rate and outcomes in patients with cardiovascular disease: where do we currently stand?

BACKGROUND

Data from large epidemiological studies suggest that elevated heart rate is independently associated with cardiovascular and all-cause mortality in patients with hypertension and in those with established cardiovascular disease. Clinical trial findings also suggest that the favorable effects of beta-blockers and other heart rate-lowering agents in patients with acute myocardial infarction and congestive heart failure may be, at least in part, due to their heart rate-lowering effects. Contemporary clinical outcome prediction models such as the Global Registry of Acute Coronary Events (GRACE) score include admission heart rate as an independent risk factor.

AIMS

This article critically reviews the key epidemiology concerning heart rate and cardiovascular risk, potential mechanisms through which an elevated resting heart rate may be disadvantageous and evaluates clinical trial outcomes associated with pharmacological reduction in resting heart rate.

CONCLUSIONS

Prospective randomised data from patients with significant coronary heart disease or heart failure suggest that intervention to reduce heart rate in those with a resting heart rate >70 bpm may reduce cardiovascular risk. Given the established observational data and randomised trial evidence, it now appears appropriate to include reduction of elevated resting heart rate by lifestyle +/- pharmacological therapy as part of a secondary prevention strategy in patients with cardiovascular disease.

Risk for decreased cardiac output: validation of a proposal for nursing diagnosis

AIM

To verify the content validity of the nursing diagnosis risk for decreased cardiac output (RDCO).

BACKGROUND

DCO is a phenomenon that is not restricted to individuals or environments that specifically focus on cardiovascular care. It is not only prevalent in cardiovascular care units, but also in post-anaesthesia units and non-cardiac care units among individuals with non-cardiogenic disorders. A significant decrease in cardiac output is a life-threatening situation, demonstrating the need for developing a risk nursing diagnosis for early intervention. The development of this diagnosis requires the construction of a diagnosis label, a definition of the diagnostic concept and the risk factors associated with the diagnosis.

METHODS

The research was carried out in two methodological stages based on the Fehring diagnosis content validation model. The quantitative analysis consisted of the calculation of the weighted mean of the values attributed by experts to each risk factor, the level of agreement/disagreement between the experts regarding the operational definitions of risk factors and the index of diagnostic content validity (DCV).

RESULTS

The label 'risk for decreased cardiac output' was considered representative of a nursing diagnosis defined as 'at risk of developing a health status characterized by an insufficient quantity of blood pumped by the heart to meet physical metabolic demands'. Critical risk factors (DCV ≥ 0·7) were myocardial dysfunction (0·887), blood loss (0·875), increase in intrapericardial pressure (0·825), condition that leads to changes in cardiac rhythm and/or electrical conduction (0·812), deficient fluid volume (0·725), plasma loss (0·712), ineffective tissue perfusion (0·712) and electrolyte imbalance (0·7).

CONCLUSIONS

The research identified eight risk factors with valid content for assessment of RDCO.

IMPLICATIONS FOR NURSING PRACTICE

The identification of risk factors for DCO assists nurses to intervene early and minimize the consequences of a deficient cardiac function.