Introduction
Relevant coronary artery calcification (CAC) is present in 20–30% of patients with coronary artery disease (CAD) [
1‐
3], [
4] and is associated with unfavorable outcomes after percutaneous coronary interventions (PCI) [
2,
3,
5‐
7]. Clinical management of severely calcified coronary stenoses is challenging and requires the careful selection of dedicated interventional devices based on the anatomy of the target lesion and its underlying calcium morphology [
8]. The EAPCI clinical consensus statement in collaboration with the EURO4C-PCR group recommends a step-wise management for patients with heavily calcified coronary stenosis, starting with a thorough imaging assessment of calcified lesions and the corresponding selection of appropriate interventional tools for lesion preparation [
9].
Within the last decade, modified balloon-based as well as atherectomy-based-techniques have been increasingly recognized as valuable tools for preparation of calcified coronary lesions during PCI. Modified balloons (MB) allow for a more effective dilatation through focal concentrations of dilating force on cutting or scoring elements of the balloon surface. The cutting balloon (Wolverine Cutting Balloon, Boston Scientific) is a non-compliant balloon with three or four microsurgical blades (atherotomes) mounted longitudinally on its outer surface. Scoring balloons are semi-compliant (AngioSculpt, Philips; NSE Alpha, Braun) or non-compliant (ScoreFlex NC, OrbusNeich) balloons surrounded by external nitinol spiral scoring wires on their surface. Rotational atherectomy (RA, Rotablator System, Boston Scientific) employs an elliptically shaped metallic burr with a diamond-coated distal tip rotating with a recommended rotablation speed between 135 000 and 180 000 rpm that preferentially ablates inelastic tissue, such as calcified plaque material [
10].
If moderate to severe calcification is identified in a target lesion based on angiography or coronary computed tomography angiography, according to the current consensus direct stenting should be avoided and crossability of the lesion should be assessed by a small balloon [
9]. While the use of cutting/scoring balloons is reserved for balloon-crossable lesions, RA can be employed to lesions, which are accessible for a rotawire (a specialized 0.009 inch guidewire) or microcatheter [
4,
9]. Both are recommended options for lesions with superficial calcium [
9].
Studies focusing on procedural success demonstrated that cutting balloon angioplasty allows for achieving significantly larger acute lumen gain at lower inflating pressure, especially in aorto-ostial lesions and lesions with evidence of dissections in comparison to conventional balloon pre-dilatation [
11‐
15]. Similarly, pretreatment with a scoring balloon has been demonstrated to improve final stent expansion compared with conventional balloon angioplasty [
16,
17]. Conversely, RA prior to drug eluting stent (DES) implantation can improve the immediate procedural success rate compared to direct stenting or pre-dilatation with modifying balloon angioplasty [
18‐
21].
However, real-world data about the in-hospital safety of RA or MB techniques are scarce. In this study we therefore analyzed patients’ characteristics and procedural safety of cutting or scoring balloon angioplasty and RA from a German nationwide registry. In-hospital safety parameters for both procedures were compared by a propensity score approach. In addition, we evaluated whether outcomes were dependent on procedure numbers per year performed by a single center.
Methods
Data source
Anonymized and aggregated inpatient data were obtained from the German nationwide inpatient sample via the Research Data Center of the Germany’s Federal Bureau of Statistics as previously described [
22,
23]. Since our study did neither require nor involve access to individual patient records, ethics committee approval and informed consent were not required in accordance with German law.
Diagnoses and outcomes definitions
We requested data and numbers of patients with coronary heart disease (ICD-10 code I25.11, I25.12, I25.13, I25.14 as main or secondary diagnosis) that underwent planed coronary angiography (German Procedure Classification/OPS code 1–275) with cutting or scoring balloon angioplasty (8–837.q) and RA (8–837.5) for each year from 2017 to 2020 from the German Research Data Center. Patients with acute coronary syndromes such as NSTEMI, STEMI or unstable angina were excluded from the dataset.
The following patient baseline characteristics were requested: Age, female sex, Charlson comorbidity index (see [
24] for complete ICD-10 list), heart failure NYHA III or IV (I5013 and I5014) arterial hypertension (I10), coronary artery disease (I25), coronary-one-vessel disease (I2511), coronary-two-vessel disease (I2512), coronary-three-vessel disease (I2513), left main disease (I2514), in-stent-stenosis (I2516), previous myocardial infarction (I252), previous cardiac surgery (Z951 2 3 4), atrial fibrillation (I480 1 2 9), peripheral vascular disease (I702 8 9 I739), carotid disease (I652), chronic obstructive lung disease (J44), pulmonary hypertension (I27), chronic renal disease (N18), diabetes (E10 1 2 3 4) and previous stroke (I69*). The CHA2DS2-VASc score was calculated as described elsewhere [
22]. Congestive heart failure, hemiplegia or paraplegia, dementia, connective tissue disease, peptic ulcera disease, mild liver disease, moderate to severe liver disease, cancer (ICD C*) and metastatic solid tumor are components of the Charlson comorbidity index [
24].
The following in-hospital outcome parameters were requested from 2017 to 2020: MACCE (composed of in-hospital mortality, myocardial infarction (I21) and stroke (I63)), acute cerebrovascular events (one of 3–200; 3–220; 3–800; 3–820; 8–981.x; I60.x; I61.x; I63.x; I64 had to be fullfilled), pericardial effusion (I312 or I313), pericardial drainage (composed of pericardial tamponade, pericardial puncture or pericardiotomy (OPS 1–842* 5–370.* 8–152.0* 5–374.*)), bleeding (transfusion > 5 red blood cell concentrates, 8–800.c1–8–800.cr), deep vein thrombosis (I80), stent implantantion (OPS 8837 m*). Length of hospital stay and in-hospital mortality are part of DESTATIS’ main set of variables.
Statistical methods
Categorical variables were presented as n (%). Continuous variables were summarized as mean ± SD. Pearson’s Chi-square and t tests were used to make descriptive comparisons between groups as appropriate.
Since patients were not randomized towards MB or RA, potential confounding factors were taken into account using the propensity score methods. Thereby, inverse probability weighting was applied. The propensity score is defined as the conditional probability of an individual for being in the treatment group, given a group of observed covariates. For the propensity score estimation, we fit a logistic regression model controlling for 30 predetermined covariates (all variables listed in Table
1). For the outcome models, we chose Poisson-regression models for the inverse probability weighting approach. Thereby, cluster-robust standard errors were used to account for the correlation of error terms of patients treated in the same hospital. Exponentiated coefficients of these weighted Poisson-regression models may be interpreted as relative risks in case of dichotomous endpoints or incidence rate ratios in case of continuous endpoints (length of stay). To determine the impact of procedure volumes on the endpoints length of stay, MACCE, acute cerebrovascular events, pericardial effusion, pericardial drainage and bleeding, multivariable Poisson-regression analyses were performed. For risk adjustment, age, the Charlson Comorbidity Index and procedure volume were included as continuous covariates while all categorical characteristics listed in Table
1 were included as categorical covariates. Cluster-robust standard errors were used to account for the correlation of error terms of patients treated in the same hospital.
Table 1
Baseline charateristics of patients undergoing rotational atherectomy or scoring/cutting balloon procedures in Germany between 2017 and 2020
Women | 2278 (22.58%) | 5428 (24.26%) | < 0.001 |
Age | 74.23 ± 8.68 | 71.86 ± 10.02 | < 0.001 |
Charlson Comorbidity Index (CCI) | 2.07 ± 1.75 | 1.99 ± 1.76 | < 0.001 |
Congestive heart failure | 4295 (42.56%) | 9273 (41.44%) | 0.058 |
NYHA III or IV | 2267 (22.46%) | 4738 (21.17%) | 0.009 |
Arterial hypertension | 8502 (84.24%) | 18,278 (81.72%) | < 0.001 |
Coronary artery disease | 10,050 (99.58%) | 22,253 (99.44%) | 0.097 |
Coronary 1-vessel disease | 953 (9.44%) | 3074 (13.74%) | < 0.001 |
Coronary 2-vessel disease | 2,412 (23.90%) | 6,055 (27.06%) | < 0.001 |
Coronary 3-vessel disease | 6686 (66.25%) | 13,001 (58.10%) | < 0.001 |
Left main disease | 1813 (17.96%) | 2888 (12.91%) | < 0.001 |
In-stent stenosis | 422 (4.18%) | 4705 (21.03%) | < 0.001 |
Previous myocardial infarction | 1651 (16.36%) | 4521 (20.20%) | < 0.001 |
Previous cardiac surgery | 1458 (14.45%) | 2495 (11.15%) | < 0.001 |
Atrial fibrillation | 2637 (26.13%) | 5288 (23.63%) | < 0.001 |
CHA2DS2 VASC (mean ± SD) | 4.29 ± 1.27 | 4.08 ± 1.36 | < 0.001 |
Peripheral vascular disease | 1,251 (12.40%) | 2,169 (9.69%) | < 0.001 |
Carotid disease | 319 (3.16%) | 539 (2.41%) | < 0.001 |
COPD | 845 (8.37%) | 1799 (8.04%) | 0.309 |
Pulmonary hypertension | 588 (5.83%) | 1330 (5.94%) | 0.679 |
Chronic renal disease | 2612 (25.88%) | 5378 (24.03%) | < 0.001 |
Diabetes | 3773 (37.39%) | 7962 (35.58%) | 0.002 |
Previous stroke | 110 (1.09%) | 196 (0.88%) | 0.065 |
Hemiplegia or paraplegia | 20 (0.20%) | 22 (0.10%) | 0.021 |
Dementia | 104 (1.03%) | 172 (0.77%) | 0.017 |
Connective tissue disease | 103 (1.02%) | 304 (1.36%) | 0.011 |
Peptic ulcer disease | 32 (0.32%) | 70 (0.31%) | 0.949 |
Mild liver disease | 112 (1.11%) | 269 (1.20%) | 0.475 |
Moderate to severe liver disease | 18 (0.18%) | 35 (0.16%) | 0.650 |
Cancer | 135 (1.34%) | 287 (1.28%) | 0.685 |
Metastatic solid tumor | 17 (0.17%) | 52 (0.23%) | 0.247 |
Two-sided p values are given, and statistical significance was considered as p-value < 0.05. No adjustments for multiple testing were done. All analyses were carried out using Stata 17 (StataCorp, College Station, Texas, USA).
Discussion
In our study we evaluated in-hospital outcomes of 32,470 patients undergoing RA or MB angioplasty in the German nationwide cohort from 2017 to 2020. Overall, patients treated by RA had a higher prevalence of risk factors associated with CAC such as male sex, more advanced age, chronic renal disease, and diabetes which can be expected since RA is reported to be used and recommended in lesions with a higher severity of calcification compared to MB angioplasty [
25].
While MB angioplasty was performed more frequently than RA in general, annual procedure numbers increased for both interventions in our 4-year observational period. Similarly, a previous report of the National Cardiovascular Data CathPCI Registry analyzing the utilization of coronary atherectomy from 2009 to 2016 found that the numbers of coronary atherectomy has increased over time [
26]. These developments may be driven by recent technical optimizations of the RA system [
8,
27], the increasing prevalence of coronary calcifications [
28] and the increasing confidence of interventionalists in attempting more challenging coronary interventions with the advent of new and improvement of established interventional tools [
9].
With regards of in-hospital outcomes of RA and MB angioplasty, we found that the risk of pericardial effusion as well as the adjusted risk of necessity for pericardial puncture was significantly higher in patients undergoing RA. Further, transfusion of more than 5 RBC concentrates was also observed significantly more often in patients receiving RA, suggestive of increased frequency of relevant blood loss. These findings are somewhat expected as RA in general represents the more invasive technique and its use particularly in severely tortuous vessels goes alongside with the risk of coronary perforation [
29]. Historically, RA treatment during PCI has been found to be associated with an increased risk of complications, with reported procedural complication rates up to 9.7% [
30]. Notably these observations were confounded by a higher preprocedural risk profile of patients treated with RA. Also, increasing operator experience and further technical optimizations such as utilizing smaller burr sizes with a burr/artery ratio of 0.5 and current recommendations to employ shorter burring episodes likely contributes to lower peri-procedural complications in contemporary RA inteventions [
29,
31,
32]. Evidence from recent randomized clinical trials emphasized that the use of RA, compared with cutting/scoring balloon-based strategies, is superior in terms of procedural success and not associated with increased intraprocedural or periprocedural complication rates [
18,
21]. Notably, in PREPARE-CALC, pericardial effusions were numerically more frequent in patients after RA although these findings did not reach statistical significance like in our real-world study [
21]. In line with recent trials, in-hospital adverse cardiovascular events in our study did no differ significantly for MB angioplasty and RA [
18,
21].
The superior success rate of RA lesion preparation may contribute to the here observed higher number of implanted stents.
Notably, patients treated with RA spent significantly more days in hospital compared to cutting/scoring balloon angioplasty. While this to some extent may reflect pericardial complications and their management, this may also be explained by a greater disease burden in the overall sicker and older study population of the RA group. Moreover, due to its high technical success rate, RA is frequently used as a bail-out tool in complex coronary diseases, which make up to 20% of calcified coronary lesions in RCTs [
18]. Even though recent evidence suggests that unplanned RA is generally associated with favorable outcome when compared to planned RA [
33], interventions that involve crossing-over to RA to enable procedural success may require longer procedural time and more frequently demand management of periprocedural complications, which may lead to an increase in hospitalization durations [
34,
35]. A total of 1179 cases employed MBs and RA during one hospital stay and thus likely represent such bail-out scenarios.
Finally, we aimed to identify patient characteristic risk drivers and center-volume-dependent outcomes of RA. In our analysis, the risk for the occurrence of pericardial effusion, pericardial drainage and bleeding events was significantly higher in cardiac patients with NYHA III/IV staged heart failure and atrial fibrillation. These findings are in line with others in the literature. Patients with atrial fibrillation undergoing percutaneous coronary intervention are typically at a higher risk of bleeding events due to the need for oral anticoagulation on top of antiplatelet therapy [
36]. Further, heart failure has been identified as one of the major risk drivers of bleeding in previous studies [
34‐
36]. While pericardial effusion itself is a common baseline finding in patients with congestive heart failure [
37], impaired LVEF has also been associated with unfavorable in-hospital outcomes after PCI by several studies [
38,
39]. Interestingly, we could observe an inverse association of annual procedure numbers with the length of hospitalization and the occurrence of acute cerebrovascular events. In a nationwide retrospective cohort study with 9970 patients from Japan a higher hospital volume of ≥ 31 RAs/year was significantly associated with lower complication rates of RA [
40]. In line, recent registry data indicated a higher volume of coronary atherectomy procedures was associated with a lower risk of major adverse events but associated with a small increase in risk of coronary perforation [
26]. In our study, we did not find a significant influence of the center volume on the risk of pericardial effusions or the necessity for pericardial drainage indicating that this risk may be attributed to the RA technique and the complexity of CAC itself rather than being dependent on interventionalists experience.
Study limitations
Our study has several limitations as previous studies conducted with similar datasets [
22,
23]. First, the ICD discharge code based data collection used for our analysis is potentially biased by under- or overreporting. However, it is very unlikely that the here used endpoints like in-hospital MACCE were under-reported, as an increase in resource-utilization often triggers an additional reimbursement. Second, it is not reported at what time of the hospital stay an outcome event occurred or if it’s associated with a procedure other than treatment of calcified coronary lesions of the same hospital stay. Third, we cannot address long-term outcomes with ICD discharge codes. Fourth, we do not have data on the presence or degree of coronary calcification; therefore, we cannot make any inferences about the appropriate or inappropriate use of RA or scoring/cutting balloons. Fifth, patients with acute coronary syndromes were excluded from our analysis we therefore cannot make any conclusions on the outcomes of RA and MBs in patients with myocardial infarction. Sixth, we cannot distinguish between scoring and cutting balloons in our analysis and can thus not assess differences between these subtypes of modified balloons which may differ in parameters such as crossability [
41] and interventional success rate [
42]. Last, coronary stenoses that are not crossable with a microcatheter or display deep calcium formations in the plaque or vessel wall on intravascular imaging may preferably be treated by excimer laser coronary angioplasty or intravascular lithotripsy, respectively [
9,
43], which is not part of this dataset.
Acknowledgements
AM was funded by the Berta-Ottenstein-Programme for Advanced Clinician Scientists, Faculty of Medicine, University of Freiburg. MCG was funded by the IMM-PACT-Program for Clinician Scientists, Department of Medicine II, Medical Center – University of Freiburg and Faculty of Medicine, University of Freiburg, funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) –413517907. AM, DW, IH, DW and CvzM are members of SFB1425, funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – Project #422681845.