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Zacà S, Di Stefano L, Esposito D, Mozzetta G, Villa F, Pulli R, Pratesi G, Piffaretti G, Angiletta D. Cardiac risk after elective endovascular repair for infrarenal abdominal aortic aneurysm: Results from the Italian Collaborators for EVAR multicenter registry. J Vasc Surg 2024; 79:260-268. [PMID: 37804956 DOI: 10.1016/j.jvs.2023.09.038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 09/11/2023] [Accepted: 09/29/2023] [Indexed: 10/09/2023]
Abstract
OBJECTIVE Major adverse cardiac events (MACEs) were common complications after endovascular aortic repair (EVAR) causing significant postoperative morbidity and mortality. The aim of the study was to evaluate the cardiac risk after elective EVAR for uncomplicated noninfected infrarenal abdominal aortic aneurysm in a large multicenter cohort. METHODS This is a multicenter, retrospective, financially unsupported physician-initiated observational cohort study conducted by four academic tertiary referral hospitals from January 2018 to March 2021. Baseline, perioperative, and postoperative information of elective EVARs was evaluated. The primary outcome was the incidence of MACEs after EVAR, which was defined as acute coronary syndrome, non-ST-elevation myocardial infarction, unstable angina pectoris, de novo atrial fibrillation, hospitalization for heart failure, and revascularization as well as cardiovascular death. Secondary outcomes were 1-year overall survival (all-cause mortality) and freedom from aorta-related mortality. Comparative analysis was conducted between MACE and overall population, and univariate and multivariate logistic regression analyses were used to analyze factors associated with the risk of the MACE occurrence and early 1-year mortality. RESULTS The study has enrolled 497 patients (35 females, 7%) with a mean age of 75.3 ± 7.8 years. The MACE rate was 6.4% (32/497, events/patients), and the majority of the events were recorded in the postoperative period (24/32, 75%; overall 24/497, 4.8%). One-year survival from all-cause mortality was 94% (95% confidence interval [CI]: 91-96), and the MACE population showed a significantly lower survival estimation rate (Overall - MACEs, 95.8% [95% CI: 93-97] - 67.9% [95% CI: 47-82], log-rank 41.950, P = .0001). Freedom from aorta-related mortality was 99.3% (95% CI: 98-100). The perioperative need for red blood cell transfusions was strongly related to the MACE occurrence (odds ratio: 2.67, 95% CI: 1.52-4.68, P = .001) and 1-year mortality (hazard ratio: 2.14, 95% CI: 1.48-3.09, P = .0001). CONCLUSIONS MACEs represent a common complication in the postoperative and early period after elective EVAR. Blood loss requiring red blood cell transfusions is associated with increased postoperative MACEs and early mortality, suggesting that all the efforts should be carried out to reduce the bleeding during and after elective interventions.
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Affiliation(s)
- Sergio Zacà
- Department of Precision and Regenerative Medicine and Jonic Area (DiMePre-J), Vascular and Endovascular Surgery, University of Bari School of Medicine "Aldo Moro", Bari, Italy.
| | - Lucia Di Stefano
- Department of Precision and Regenerative Medicine and Jonic Area (DiMePre-J), Vascular and Endovascular Surgery, University of Bari School of Medicine "Aldo Moro", Bari, Italy
| | - Davide Esposito
- Department of Cardiothoracic and Vascular Surgery, Careggi University Teaching Hospital, University of Florence, Florence, Italy
| | - Gaddiel Mozzetta
- Unit of Vascular and Endovascular Surgery-IRCCS Ospedale Policlinico San Martino, Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy
| | - Federico Villa
- Vascular Surgery-Department of Medicine and Surgery, University of Insubria School of Medicine and ASST Settelaghi University Teaching Hospital, Varese, Italy
| | - Raffaele Pulli
- Department of Cardiothoracic and Vascular Surgery, Careggi University Teaching Hospital, University of Florence, Florence, Italy
| | - Giovanni Pratesi
- Unit of Vascular and Endovascular Surgery-IRCCS Ospedale Policlinico San Martino, Department of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy
| | - Gabriele Piffaretti
- Vascular Surgery-Department of Medicine and Surgery, University of Insubria School of Medicine and ASST Settelaghi University Teaching Hospital, Varese, Italy
| | - Domenico Angiletta
- Department of Precision and Regenerative Medicine and Jonic Area (DiMePre-J), Vascular and Endovascular Surgery, University of Bari School of Medicine "Aldo Moro", Bari, Italy
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Use of angiotensin-converting enzyme inhibitors or angiotensin receptor blockers increases the risk of postoperative acute kidney injury after elective endovascular abdominal aortic aneurysm repair. Chin Med J (Engl) 2022; 135:2836-2842. [PMID: 36728509 PMCID: PMC9944338 DOI: 10.1097/cm9.0000000000002352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Indexed: 02/03/2023] Open
Abstract
BACKGROUND Endovascular abdominal aortic aneurysm repair (EVAR) is the major treatment for abdominal aortic aneurysm (AAA); however, EVAR still carries a considerable risk of acute kidney injury (AKI). The present study aimed to investigate the risk factors for AKI after elective EVAR procedures. METHODS This was a retrospective observational study. Eligible patients who underwent EVAR from September 2011 to March 2019 in West China Hospital were included. The primary outcome was the occurrence of AKI within two days after EVAR, which was defined by the Kidney Disease Improving Global Outcomes Clinical Practice Guideline. Demographics, comorbidities, medications, laboratory tests, anatomical parameters of AAA, and relative operative details were collected as variables. Univariable and multivariable logistic regression analyses were applied to identify the risk factors among variables, and covariate interactions were further assessed. RESULTS A total of 679 eligible patients were included. The incidence of postoperative AKI was 8.2% (56/679) in the whole cohort, and it was associated with a lower 5-year survival rate (63.5% vs . 80.9%; χ 2 = 4.10; P = 0.043). The multivariable logistic regression showed that chronic kidney disease (OR, 5.06; 95% CI: 1.43-17.95; P = 0.012), angiotensin-converting enzyme inhibitors (ACEIs)/angiotensin receptor blockers (ARBs) (OR, 2.60; 95% CI: 1.17-5.76; P = 0.019), and short neck (OR, 2.85; 95% CI: 1.08-7.52; P = 0.035) were independent risk factors for postoperative AKI. In the covariate interaction analysis, the effect of ACEIs/ARBs use on postoperative AKI was similar across all subgroups ( P > 0.05), thereby suggesting a robust effect of ACEIs/ARBs use in all patients undergoing elective endovascular abdominal aortic aneurysm repair. CONCLUSIONS Postoperative AKI was associated with lower survival rate, and the use of ACEIs/ARBs was the only adjustable independent risk factor. Clinicians should consider withdrawing ACEIs/ARBs in high-risk patients undergoing elective endovascular abdominal aortic aneurysm repair to prevent postoperative AKI.
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Major Adverse Cardiac Events after Elective Infrarenal Endovascular Aortic Aneurysm Repair. J Vasc Surg 2022; 76:1527-1536.e3. [PMID: 35714892 DOI: 10.1016/j.jvs.2022.05.018] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Revised: 04/14/2022] [Accepted: 05/09/2022] [Indexed: 01/09/2023]
Abstract
OBJECTIVE There is a significant cardiac morbidity and mortality after endovascular aneurysm repair (EVAR). However, information about long-term risk of cardiac events after EVAR and potential predictors is lacking. Therefore, the aim of this study was to determine incidence and predictors of major adverse cardiac events (MACE) at one- and five-years after elective EVAR for infrarenal abdominal aortic aneurysms. METHODS Baseline, perioperative and postoperative information of 320 patients was evaluated. The primary outcome was the incidence of MACE after EVAR, which was defined as acute coronary syndrome, unstable angina pectoris, de novo atrial fibrillation, hospitalization for heart failure, mitral valve insufficiency, revascularization (including PCI and CABG), as well as cardiovascular and non-cardiovascular death. Kaplan Meier analysis was performed to determine incidences of MACE, MACE excluding non-cardiovascular death and cardiac events by excluding non-cardiovascular and vascular death from MACE. Predictors of MACE were identified using univariate and multivariate binary regression analysis. RESULTS Through one- and five-years follow-up after EVAR, freedom from MACE was 89.4% (standard error (SE) 0.018) and 59.8% (SE 0.033), freedom from MACE excluding non-cardiovascular death was 94.7% (SE 0.013) and 77.5% (SE 0.030) and freedom from cardiac events was 96.0% (SE 0.011) and 79.1% (SE 0.030), respectively. Predictors for MACE within one-year were American Society of Anaesthesiologists (ASA) score 3 or 4 (OR, 3.17; 95% CI, 1.52-6.59) and larger abdominal aortic diameter (OR, 1.04; 95% CI, 1.01-1.08). History of atrial fibrillation (OR, 0.14; 95% CI, 0.03-0.60) was a negative predictor factor. Predictors for MACE through five-years were history of heart failure (OR, 4.10; 95% CI 1.36-12.32) and valvular heart disease (OR, 2.31; 95% CI, 0.97-5.51), ASA score 3 or 4 (OR, 1.66; 95% CI, 0.96-2.88) and older age (OR, 1.04; 95% CI, 1.01-1.08). CONCLUSION MACE is a common complication during the first five-years after elective EVAR. Cardiac diseases at baseline are strong predictors for long-term MACE and potentially helpful in optimizing future post-operative long-term follow-up.
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Vernooij LM, van Klei WA, Moons KG, Takada T, van Waes J, Damen JA. The comparative and added prognostic value of biomarkers to the Revised Cardiac Risk Index for preoperative prediction of major adverse cardiac events and all-cause mortality in patients who undergo noncardiac surgery. Cochrane Database Syst Rev 2021; 12:CD013139. [PMID: 34931303 PMCID: PMC8689147 DOI: 10.1002/14651858.cd013139.pub2] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
BACKGROUND The Revised Cardiac Risk Index (RCRI) is a widely acknowledged prognostic model to estimate preoperatively the probability of developing in-hospital major adverse cardiac events (MACE) in patients undergoing noncardiac surgery. However, the RCRI does not always make accurate predictions, so various studies have investigated whether biomarkers added to or compared with the RCRI could improve this. OBJECTIVES Primary: To investigate the added predictive value of biomarkers to the RCRI to preoperatively predict in-hospital MACE and other adverse outcomes in patients undergoing noncardiac surgery. Secondary: To investigate the prognostic value of biomarkers compared to the RCRI to preoperatively predict in-hospital MACE and other adverse outcomes in patients undergoing noncardiac surgery. Tertiary: To investigate the prognostic value of other prediction models compared to the RCRI to preoperatively predict in-hospital MACE and other adverse outcomes in patients undergoing noncardiac surgery. SEARCH METHODS We searched MEDLINE and Embase from 1 January 1999 (the year that the RCRI was published) until 25 June 2020. We also searched ISI Web of Science and SCOPUS for articles referring to the original RCRI development study in that period. SELECTION CRITERIA We included studies among adults who underwent noncardiac surgery, reporting on (external) validation of the RCRI and: - the addition of biomarker(s) to the RCRI; or - the comparison of the predictive accuracy of biomarker(s) to the RCRI; or - the comparison of the predictive accuracy of the RCRI to other models. Besides MACE, all other adverse outcomes were considered for inclusion. DATA COLLECTION AND ANALYSIS We developed a data extraction form based on the CHARMS checklist. Independent pairs of authors screened references, extracted data and assessed risk of bias and concerns regarding applicability according to PROBAST. For biomarkers and prediction models that were added or compared to the RCRI in ≥ 3 different articles, we described study characteristics and findings in further detail. We did not apply GRADE as no guidance is available for prognostic model reviews. MAIN RESULTS We screened 3960 records and included 107 articles. Over all objectives we rated risk of bias as high in ≥ 1 domain in 90% of included studies, particularly in the analysis domain. Statistical pooling or meta-analysis of reported results was impossible due to heterogeneity in various aspects: outcomes used, scale by which the biomarker was added/compared to the RCRI, prediction horizons and studied populations. Added predictive value of biomarkers to the RCRI Fifty-one studies reported on the added value of biomarkers to the RCRI. Sixty-nine different predictors were identified derived from blood (29%), imaging (33%) or other sources (38%). Addition of NT-proBNP, troponin or their combination improved the RCRI for predicting MACE (median delta c-statistics: 0.08, 0.14 and 0.12 for NT-proBNP, troponin and their combination, respectively). The median total net reclassification index (NRI) was 0.16 and 0.74 after addition of troponin and NT-proBNP to the RCRI, respectively. Calibration was not reported. To predict myocardial infarction, the median delta c-statistic when NT-proBNP was added to the RCRI was 0.09, and 0.06 for prediction of all-cause mortality and MACE combined. For BNP and copeptin, data were not sufficient to provide results on their added predictive performance, for any of the outcomes. Comparison of the predictive value of biomarkers to the RCRI Fifty-one studies assessed the predictive performance of biomarkers alone compared to the RCRI. We identified 60 unique predictors derived from blood (38%), imaging (30%) or other sources, such as the American Society of Anesthesiologists (ASA) classification (32%). Predictions were similar between the ASA classification and the RCRI for all studied outcomes. In studies different from those identified in objective 1, the median delta c-statistic was 0.15 and 0.12 in favour of BNP and NT-proBNP alone, respectively, when compared to the RCRI, for the prediction of MACE. For C-reactive protein, the predictive performance was similar to the RCRI. For other biomarkers and outcomes, data were insufficient to provide summary results. One study reported on calibration and none on reclassification. Comparison of the predictive value of other prognostic models to the RCRI Fifty-two articles compared the predictive ability of the RCRI to other prognostic models. Of these, 42% developed a new prediction model, 22% updated the RCRI, or another prediction model, and 37% validated an existing prediction model. None of the other prediction models showed better performance in predicting MACE than the RCRI. To predict myocardial infarction and cardiac arrest, ACS-NSQIP-MICA had a higher median delta c-statistic of 0.11 compared to the RCRI. To predict all-cause mortality, the median delta c-statistic was 0.15 higher in favour of ACS-NSQIP-SRS compared to the RCRI. Predictive performance was not better for CHADS2, CHA2DS2-VASc, R2CHADS2, Goldman index, Detsky index or VSG-CRI compared to the RCRI for any of the outcomes. Calibration and reclassification were reported in only one and three studies, respectively. AUTHORS' CONCLUSIONS Studies included in this review suggest that the predictive performance of the RCRI in predicting MACE is improved when NT-proBNP, troponin or their combination are added. Other studies indicate that BNP and NT-proBNP, when used in isolation, may even have a higher discriminative performance than the RCRI. There was insufficient evidence of a difference between the predictive accuracy of the RCRI and other prediction models in predicting MACE. However, ACS-NSQIP-MICA and ACS-NSQIP-SRS outperformed the RCRI in predicting myocardial infarction and cardiac arrest combined, and all-cause mortality, respectively. Nevertheless, the results cannot be interpreted as conclusive due to high risks of bias in a majority of papers, and pooling was impossible due to heterogeneity in outcomes, prediction horizons, biomarkers and studied populations. Future research on the added prognostic value of biomarkers to existing prediction models should focus on biomarkers with good predictive accuracy in other settings (e.g. diagnosis of myocardial infarction) and identification of biomarkers from omics data. They should be compared to novel biomarkers with so far insufficient evidence compared to established ones, including NT-proBNP or troponins. Adherence to recent guidance for prediction model studies (e.g. TRIPOD; PROBAST) and use of standardised outcome definitions in primary studies is highly recommended to facilitate systematic review and meta-analyses in the future.
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Affiliation(s)
- Lisette M Vernooij
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
- Department of Anesthesiology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Wilton A van Klei
- Department of Anesthesiology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
- Anesthesiologist and R. Fraser Elliott Chair in Cardiac Anesthesia, Department of Anesthesia and Pain Management Toronto General Hospital, University Health Network and Professor, Department of Anesthesiology and Pain Medicine, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada
| | - Karel Gm Moons
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
- Cochrane Netherlands, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Toshihiko Takada
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Judith van Waes
- Department of Anesthesiology, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Johanna Aag Damen
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
- Cochrane Netherlands, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
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Prevalence and risk factors of myocardial and acute kidney injury following radical nephrectomy with vena cava thrombectomy: a retrospective cohort study. BMC Anesthesiol 2021; 21:243. [PMID: 34641781 PMCID: PMC8513361 DOI: 10.1186/s12871-021-01462-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Accepted: 09/30/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Radical nephrectomy with thrombectomy is the mainstay treatment for patients with renal cell carcinoma with vena cava thrombus. But the procedure is full of challenge, with high incidence of major complications and mortality. Herein, we investigated the incidence and predictors of myocardial injury and acute kidney injury (AKI) in patients following radical nephrectomy with inferior vena cava thrombectomy. METHODS Patients who underwent nephrectomy with thrombectomy between January 2012 and June 2020 were retrospectively reviewed. Myocardial injury was diagnosed when peak cardiac troponin I was higher than 0.03 ng/ml. AKI was diagnosed according to the Kidney Disease: Improving Global Outcomes (KDIGO) criteria. Multivariable logistic regression models were used to identify predictors of myocardial injury or AKI after surgery. RESULTS A total of 143 patients were included in the final analysis. Myocardial injury and AKI occurred in 37.8 and 42.7% of patients after this surgery, respectively. Male sex (odds ratio [OR] 0.27, 95% confidence interval [CI] 0.10-0.71; P = 0.008) was associated with a lower risk, whereas high level Mayo classification (compared with Mayo level I + II, Mayo level III + IV: OR 4.21, 95% CI 1.42-12.4; P = 0.009), acute normovolemic hemodilution before surgery (OR 2.66, 95% CI 1.10-6.41; P = 0.029), long duration of intraoperative tachycardia (per 20 min: OR 1.49, 95% CI 1.10-2.16; P = 0.036), and long duration of surgery (per 1 h, OR 1.48, 95% CI 1.03-2.16, P = 0.009) were associated with a higher risk of myocardial injury. High body mass index (OR 1.18, 95% CI 1.06-1.33; P = 0.004) and long duration of intraoperative hypotension (per 20 min: OR 1.30, 95% CI 1.04-1.64; P = 0.024) were associated with a higher risk, whereas selective renal artery embolism before surgery (OR 0.20, 95% CI 0.07-0.59, P = 0.004) was associated with a lower risk of AKI. CONCLUSION Myocardial injury and AKI were common in patients recovering from radical nephrectomy with inferior vena cava thrombectomy. Whether interventions targeting the above modifiable factors can improve outcomes require further studies.
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Sousa J, Rocha-Neves J, Oliveira-Pinto J, Mansilha A. Myocardial injury after non-cardiac surgery (MINS) in EVAR patients: a retrospective single-centered study. THE JOURNAL OF CARDIOVASCULAR SURGERY 2020; 62:130-135. [PMID: 32885923 DOI: 10.23736/s0021-9509.20.11205-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
BACKGROUND Myocardial injury after non-cardiac surgery (MINS) stands for myocardial injury due to ischemia that occurs during or within 30-days after non-cardiac surgery. Although MINS is known to be independently associated with 30-day mortality after intervention, little is described about the impact of MINS after vascular procedures, particularly after endovascular aneurysm repair (EVAR). METHODS This is an observational, retrospective, single-centered study. All patients underwent elective standard EVAR between January 2008 and June 2017, and them with at least one postoperative measurement of troponin I in the first 48 h after surgery, were retrospectively included. MINS was defined as the value exceeding the 99th percentile of a normal reference population with a coefficient of variation <10%. Primary outcomes include the prevalence of MINS in this subset of EVAR patients, as well as its impact in mid-term all-cause mortality. As secondary aim, the preoperative predictors of MINS were also assessed. RESULTS One-hundred and thirty-six patients with postoperative troponin measurements were included (95.6% male; mean age 75.51years). MINS was diagnosed in 16.2% (N.=22) of the patients, and in 86.4% of the cases (N.=19) it was completely asymptomatic. Heart failure (31.8% vs. 10.5%, P=0.016), ASA Score ≥3 (95.5% vs. 67.5%, P=0.004), pre-operative (P=0.036) and postoperative (P=0.04) hemoglobin concentrations ≤12 g/dL were found to be significantly associated with MINS. Regarding remaining baseline characteristics, anesthesia and femoral access, no further differences were observed. Survival at 1, 3 and 5 years was 92% (95% CI: 4.6-6.9, standard error [SE] 0.023), 81% (95% CI: 5.6-7.6, SE=0.034) and 71% (95% CI: 6.9-8.7, SE=0.04), with two deaths reported at 30 days follow-up. MINS was found to be significantly associated with increased mid-term all-cause mortality after EVAR at 24 months follow-up (84.2±3.4% vs. 63.6±10.3%, P=0.001), with a 2.12-fold risk increase of death. CONCLUSIONS MINS is a common complication after EVAR and negatively impacts the mid-term prognosis of such interventions. In the majority of cases, it is asymptomatic and, therefore, not detectable unless routine postoperative troponin measurements are performed.
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Affiliation(s)
- Joel Sousa
- Department of Angiology and Vascular Surgery, CHU de S. João, Porto, Portugal - .,Department of Physiology and Surgery, Faculty of Medicine, University of Porto, Porto, Portugal -
| | - João Rocha-Neves
- Department of Angiology and Vascular Surgery, CHU de S. João, Porto, Portugal.,Department of Physiology and Surgery, Faculty of Medicine, University of Porto, Porto, Portugal
| | - José Oliveira-Pinto
- Department of Angiology and Vascular Surgery, CHU de S. João, Porto, Portugal.,Department of Physiology and Surgery, Faculty of Medicine, University of Porto, Porto, Portugal
| | - Armando Mansilha
- Department of Angiology and Vascular Surgery, CHU de S. João, Porto, Portugal.,Department of Physiology and Surgery, Faculty of Medicine, University of Porto, Porto, Portugal
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