Abstract
Background
Clinical heart failure (HF) occurs frequently after ST-segment elevation myocardial infarction (STEMI), and is associated with increased mortality. We assessed the impact of remote ischemic peri-conditioning (RIPC) during inter-facility air medical transport of STEMI patients on clinical HF following primary percutaneous coronary intervention (pPCI).
Methods
Data from Acute Coronary Treatment and Intervention Outcomes Network Registry®-Get With the Guidelines™ (ACTION Registry-GWTG) from two PCI-hospitals that are utilizing RIPC during inter-facility helicopter transport of STEMI patients for pPCI between March, 2013 and September, 2015 were used for this study. The analyses were limited to inter-facility STEMI patients transported by helicopter with LVEF <55% after pPCI. The outcome measures were occurrence of clinical HF and serum level of brain-type natriuretic peptide (BNP).
Results
Out of the 150 STEMI patients in this analysis, 92 patients received RIPC and 58 did not. The RIPC and non-RIPC groups were generally similar in demographic and clinical characteristics except for lower incidence of cardiac arrest in the RIPC group (3/92 [3.3%] versus 13/58 [22.4%], p = 0.002). STEMI patients who received RIPC were less likely to have in-hospital clinical HF compared to patients who did not receive RIPC (3/92 [3.3%] versus 7/58 [12.1%]; adjusted OR = 0.22, 95% CI 0.05–0.92, p = 0.038) after adjusting for baseline differences. In subgroup analysis, RIPC was associated with lower BNP (123 [interquartile range, 17.0–310] versus 319 [interquartile range, 106–552], p = 0.029).
Conclusion
RIPC applied during inter-facility air transport of STEMI patients for pPCI is associated with reduced incidence of clinical HF and serum BNP.
Highlights
- •
Clinical heart failure (HF) occurs frequently after ST-segment elevation myocardial infarction (STEMI), and is associated with increased mortality.
- •
This study shows that remote ischemic peri-conditioning (RIPC) applied during inter-facility helicopter transfer of STEMI patients is associated with reduced incidence of clinical HF after primary percutaneous coronary intervention (pPCI).
- •
Large, multicenter randomized controlled studies are needed to determine the effects of RIPC on clinical HF in STEMI patients.
1
Introduction
Clinical heart failure is a common complication of ST-segment elevation myocardial infarction (STEMI), leading to prolonged hospital stay, consumption of healthcare resources, and increased morbidity and mortality . While clinical heart failure (HF) and reduced left ventricular ejection fraction (LVEF) are not synonymous, most patients that develop clinical HF after STEMI have reduced LVEF, and some patients with reduced LVEF have no clinical signs or symptoms of HF. Although improvements in STEMI treatment and prompt primary percutaneous coronary intervention (pPCI) in the last decade have reduced the incidence and/or severity of cardiac dysfunction after STEMI, some studies have indicated that a significant proportion of patients still develop clinical HF , with a reported incidence rate of about 10–40% depending on the population studied . There is an increasing concern that the reduction in mortality of STEMI patients might lead to increased numbers of patients surviving only to suffer severe HF , with significant global economic burden . Therefore, there is a need to develop adjunctive therapy to pPCI that can prevent or reduce clinical HF in STEMI patients.
In this regard, emerging evidence suggests that remote ischemic conditioning (RIC) elicited by non-injurious, brief episodes of ischemia and reperfusion at a distant vascular bed may protect vital organs such as the heart from subsequent injury . This non-invasive strategy appears to confer protection when applied prior to prolonged ischemic injury (pre-conditioning), during ischemic injury (peri-conditioning) and at the end of ischemic injury or onset of reperfusion (post-conditioning). In a recent pre-clinical study in rats, RIC reduced adverse left ventricular remodeling and oxidative stress induced by myocardial infarction . However, the effect of RIC on clinical HF in humans remains unknown. Accordingly, this cross-sectional study examined for the first time the impact of remote ischemic peri-conditioning (RIPC) on in-hospital clinical HF and biomarker of cardiac dysfunction, brain-type natriuretic peptide (BNP), in a contemporary population of STEMI patients with reduced LVEF after pPCI.
2
Materials and methods
2.1
Protocol implementation and data sources
Data from the National Cardiovascular Data Registry® (NCDR) Acute Coronary Treatment and Intervention Outcomes Network Registry®-Get With the Guidelines™ (ACTION Registry–GWTG) from two tertiary care STEMI receiving centers (University of Pittsburgh Medical Center Presbyterian and Passavant Hospital) in the United States that are utilizing RIPC during inter-facility helicopter transport of STEMI patients for pPCI were used for this study. The ACTION Registry–GWTG is a nationwide, voluntary, quality improvement registry sponsored by the American College of Cardiology and the American Heart Association . The conduct of the RIPC protocol during helicopter transport of STEMI patients transferred to our two receiving facilities has been previously published . In summary, RIPC was performed during inter-facility helicopter transport by repeated 5-min cycles of inflation to 200 mmHg and deflation of a blood pressure cuff in the upper arm. A maximum of four cycles of RIPC were performed en route, and standard medical care for these patients and timeliness of transport were prioritized over RIPC. The protocol was approved by the University of Pittsburgh Institutional Review Board, the Pennsylvania Department of Health, the state EMS advisory council, and the regional Emergency Medical Services (EMS) council.
2.2
Patient population
Patients with STEMI (n = 536) that presented to the two PCI centers for pPCI from March 2013 through September 2015 were identified. Analyses were limited to STEMI patients with inter-facility air transport within the period that the RIPC quality improvement protocol was implemented. The protocol was first implemented at two air medical base sites as a pilot and then extended to 12 additional base sites, resulting in a cohort of patients that did or did not receive RIPC. STEMI was defined as chest pain or epigastric pain for more than 30 min and either (a) new ST elevation at the J point in two contiguous leads with the cut-off points of ≥0.2 mV in men or ≥0.15 mV in women in leads V2-V3 or ≥0.1 mV in all other leads or (b) new or presumed new left bundle branch block on electrocardiogram. Patients were excluded if they arrived directly to the emergency department of the two PCI centers (n = 88), were transferred from the field directly to the two PCI centers (n = 177), were transported by ground ambulance (n = 49), and those with persistent hypotension at the time of air transport (n = 3) were excluded. These patients were excluded because during the period of this study RIPC was not routinely performed in this EMS system for those transferred by ground ambulance and those with hypotension at the time of transfer. Additionally, those transferred from the field were excluded because the current analysis is limited to inter-facility transfers where multiple cycles of RIPC can be performed during transfer of the patients without delaying pPCI at the receiving facility. Given that patients with reduced LVEF are more likely to develop clinical HF symptoms, those with LVEF ≥55% (n = 69) were excluded from 219 inter-facility STEMI patients. The final population (n = 150) included in this analysis were inter-facility STEMI patients that were transported by air ambulance, received coronary stenting or plain old balloon angioplasty, and with LVEF <55% after pPCI.
2.3
Study outcomes
The main study outcome measure was the occurrence of clinical HF, defined as physician report of one or more of the following: i) unusual dyspnea on exertion or dyspnea occurring in the supine position; ii) rales or jugular venous distention on physical examination; and iii) pulmonary edema on chest x-ray presumed to be due to cardiac dysfunction. The other outcome measure was the first BNP level during hospitalization. These definitions were based on predefined criteria outlined in the ACTION Registry®–GWTG™ database. For outcomes analyses, we report i) the percentage of patients who experienced in-hospital clinical HF, and ii) the median BNP value.
2.4
Data analysis
Descriptive characteristics of the study population are presented as n (%) for categorical variables and median (interquartile range) or mean (SD) for continuous variables. Baseline differences between patients that received RIPC and those that did not were tested using chi-squared tests for categorical variables (Fisher’s Exact test for very small cells) and Wilcoxon rank-sum tests for continuous variables.
Although this analysis was based on registry data with modest sample size, there were only trivial differences in baseline characteristics between the patients that received RIPC and those that did not receive RIPC. Therefore, the conventional approach to assessing association in non-randomized studies (performing multivariable regression to “adjust” for characteristics that differ between the treatment groups) does not require that many covariates be accounted for with multivariable modeling. Nevertheless, to assess the robustness of our results when accounting for potential confounders, we present the effect of RIPC on clinical HF with a multivariable logistic regression model adjusted for variable with significant baseline difference: cardiac arrest on first medical contact. We also performed subgroup analysis excluding patients with cardiac arrest on first medical contact.
For outcomes analyses, we report i) the percentage of patients who experienced in-hospital clinical HF, and ii) the median BNP value. All statistical analyses were performed using SAS version 9.4 (SAS Institute, Cary, NC). Two-sided p values <0.05 were considered as indicative of statistical significance.
2
Materials and methods
2.1
Protocol implementation and data sources
Data from the National Cardiovascular Data Registry® (NCDR) Acute Coronary Treatment and Intervention Outcomes Network Registry®-Get With the Guidelines™ (ACTION Registry–GWTG) from two tertiary care STEMI receiving centers (University of Pittsburgh Medical Center Presbyterian and Passavant Hospital) in the United States that are utilizing RIPC during inter-facility helicopter transport of STEMI patients for pPCI were used for this study. The ACTION Registry–GWTG is a nationwide, voluntary, quality improvement registry sponsored by the American College of Cardiology and the American Heart Association . The conduct of the RIPC protocol during helicopter transport of STEMI patients transferred to our two receiving facilities has been previously published . In summary, RIPC was performed during inter-facility helicopter transport by repeated 5-min cycles of inflation to 200 mmHg and deflation of a blood pressure cuff in the upper arm. A maximum of four cycles of RIPC were performed en route, and standard medical care for these patients and timeliness of transport were prioritized over RIPC. The protocol was approved by the University of Pittsburgh Institutional Review Board, the Pennsylvania Department of Health, the state EMS advisory council, and the regional Emergency Medical Services (EMS) council.
2.2
Patient population
Patients with STEMI (n = 536) that presented to the two PCI centers for pPCI from March 2013 through September 2015 were identified. Analyses were limited to STEMI patients with inter-facility air transport within the period that the RIPC quality improvement protocol was implemented. The protocol was first implemented at two air medical base sites as a pilot and then extended to 12 additional base sites, resulting in a cohort of patients that did or did not receive RIPC. STEMI was defined as chest pain or epigastric pain for more than 30 min and either (a) new ST elevation at the J point in two contiguous leads with the cut-off points of ≥0.2 mV in men or ≥0.15 mV in women in leads V2-V3 or ≥0.1 mV in all other leads or (b) new or presumed new left bundle branch block on electrocardiogram. Patients were excluded if they arrived directly to the emergency department of the two PCI centers (n = 88), were transferred from the field directly to the two PCI centers (n = 177), were transported by ground ambulance (n = 49), and those with persistent hypotension at the time of air transport (n = 3) were excluded. These patients were excluded because during the period of this study RIPC was not routinely performed in this EMS system for those transferred by ground ambulance and those with hypotension at the time of transfer. Additionally, those transferred from the field were excluded because the current analysis is limited to inter-facility transfers where multiple cycles of RIPC can be performed during transfer of the patients without delaying pPCI at the receiving facility. Given that patients with reduced LVEF are more likely to develop clinical HF symptoms, those with LVEF ≥55% (n = 69) were excluded from 219 inter-facility STEMI patients. The final population (n = 150) included in this analysis were inter-facility STEMI patients that were transported by air ambulance, received coronary stenting or plain old balloon angioplasty, and with LVEF <55% after pPCI.
2.3
Study outcomes
The main study outcome measure was the occurrence of clinical HF, defined as physician report of one or more of the following: i) unusual dyspnea on exertion or dyspnea occurring in the supine position; ii) rales or jugular venous distention on physical examination; and iii) pulmonary edema on chest x-ray presumed to be due to cardiac dysfunction. The other outcome measure was the first BNP level during hospitalization. These definitions were based on predefined criteria outlined in the ACTION Registry®–GWTG™ database. For outcomes analyses, we report i) the percentage of patients who experienced in-hospital clinical HF, and ii) the median BNP value.
2.4
Data analysis
Descriptive characteristics of the study population are presented as n (%) for categorical variables and median (interquartile range) or mean (SD) for continuous variables. Baseline differences between patients that received RIPC and those that did not were tested using chi-squared tests for categorical variables (Fisher’s Exact test for very small cells) and Wilcoxon rank-sum tests for continuous variables.
Although this analysis was based on registry data with modest sample size, there were only trivial differences in baseline characteristics between the patients that received RIPC and those that did not receive RIPC. Therefore, the conventional approach to assessing association in non-randomized studies (performing multivariable regression to “adjust” for characteristics that differ between the treatment groups) does not require that many covariates be accounted for with multivariable modeling. Nevertheless, to assess the robustness of our results when accounting for potential confounders, we present the effect of RIPC on clinical HF with a multivariable logistic regression model adjusted for variable with significant baseline difference: cardiac arrest on first medical contact. We also performed subgroup analysis excluding patients with cardiac arrest on first medical contact.
For outcomes analyses, we report i) the percentage of patients who experienced in-hospital clinical HF, and ii) the median BNP value. All statistical analyses were performed using SAS version 9.4 (SAS Institute, Cary, NC). Two-sided p values <0.05 were considered as indicative of statistical significance.
3
Results
Out of the 150 STEMI patients (median age, 62 years, interquartile range: 54–70 years; 74% male) included in this analysis, 92 patients received RIPC and 58 did not. Of the 92 patients that received RIPC, 70 patients (76.1%) received 3 or 4 cycles of RIPC while 22 patients (23.9%) received less than 3 cycles. The RIPC and non-RIPC groups were generally similar in demographic, clinical, angiographic and procedural characteristics except for significantly lower incidence of cardiac arrest in the RIPC group (3/92 [3.3%] versus 13/58 [22.4%], p = 0.002) ( Tables 1 and 2 ).
Overall | Non-RIPC | RIPC | P-value | |
---|---|---|---|---|
# Patients | 150 | 58 | 92 | |
Demographics | ||||
Age (years) | 62.0 (54.0–70.0) | 61.5 (54.0–70.0) | 62.0 (53.5–71.0) | 0.922 |
Gender (% male) | 111 (74.0%) | 46 (79.3%) | 65 (70.7%) | 0.239 |
Height (cm) | 173 (163–180) | 173 (170–178) | 173 (163–180) | 0.251 |
Weight (kg) | 84.5 (75.0–100) | 83.5 (76.0–100) | 86.0 (73.5–100) | 0.769 |
Body mass index | 29.1 (25.5–34.0) | 27.5 (24.3–34.0) | 29.5 (26.4–34.2) | 0.071 |
Race | 0.724 | |||
White | 145 (96.7%) | 57 (98.3%) | 88 (95.7%) | |
Black | 3 (2.0%) | 1 (1.7%) | 2 (2.2%) | |
Asian | 1 (0.7%) | 0 (0.0%) | 1 (1.1%) | |
Other | 1 (0.7%) | 0 (0.0%) | 1 (1.1%) | |
Insurance | 0.658 | |||
Private | 77 (51.3%) | 29 (50.0%) | 48 (52.2%) | |
Public | 59 (39.3%) | 22 (37.9%) | 37 (40.2%) | |
None | 14 (9.3%) | 7 (12.1%) | 7 (7.6%) | |
Medical history | ||||
Hypertension | 85 (56.7%) | 36 (62.1%) | 49 (53.3%) | 0.289 |
Dyslipidemia | 74 (49.3%) | 30 (51.7%) | 44 (47.8%) | 0.642 |
Current dialysis | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | |
Chronic lung disease | 7 (4.7%) | 3 (5.2%) | 4 (4.3%) | 0.845 |
Diabetes | 30 (20.0%) | 7 (12.1%) | 23 (25.0%) | 0.054 |
Prior myocardial infarction | 22 (14.7%) | 11 (19.0%) | 11 (12.0%) | 0.237 |
Prior heart failure | 5 (3.3%) | 2 (3.4%) | 3 (3.3%) | 0.950 |
Prior percutaneous coronary intervention | 25 (16.7%) | 13 (22.4%) | 12 (13.0%) | 0.134 |
Prior coronary artery bypass graft | 6 (4.0%) | 2 (3.4%) | 4 (4.3%) | 0.784 |
Prior atrial fibrillation | 5 (3.3%) | 1 (1.7%) | 4 (4.3%) | 0.383 |
Prior stroke | 5 (3.3%) | 2 (3.4%) | 3 (3.3%) | 0.206 |
Prior peripheral artery disease | 3 (2.0%) | 1 (1.7%) | 2 (2.2%) | 0.848 |
Home medications | ||||
Aspirin | 45 (30.0%) | 21 (36.2%) | 24 (26.1%) | 0.188 |
Clopidogrel | 8 (5.3%) | 3 (5.2%) | 5 (5.4%) | 0.945 |
Prasugrel | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | |
Ticargrelor | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | |
Warfarin | 3 (2.0%) | 1 (1.7%) | 2 (2.2%) | 0.848 |
Beta blocker | 31 (20.7%) | 14 (24.1%) | 17 (18.5%) | 0.405 |
Angiotensin converting enzyme inhibitor | 24 (16.0%) | 8 (13.8%) | 16 (17.4%) | 0.558 |
Angiotensin receptor blocker | 9 (6.0%) | 2 (3.4%) | 7 (7.6%) | 0.289 |
Aldosterone blocking agent | 3 (2.0%) | 2 (3.4%) | 1 (1.1%) | 0.314 |
Statin | 31 (20.7%) | 13 (22.4%) | 18 (19.6%) | 0.675 |

Stay updated, free articles. Join our Telegram channel

Full access? Get Clinical Tree


