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Boghean A, Guțu C, Firescu D. Perioperative Risk: Short Review of Current Approach in Non Cardiac Surgery. J Cardiovasc Dev Dis 2025; 12:24. [PMID: 39852302 PMCID: PMC11765857 DOI: 10.3390/jcdd12010024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2024] [Revised: 12/24/2024] [Accepted: 01/03/2025] [Indexed: 01/26/2025] Open
Abstract
The rate of major surgery is constantly increasing worldwide, and approximately 85% are non-cardiac surgery. More than half of patients over 45 years presenting for non-cardiac surgical interventions have cardiovascular risk factors, and the most common: chronic coronary syndrome and history of stroke. The preoperative cardiovascular risk is determined by the comorbidities, the clinical condition before the intervention, the urgency, duration or type. Cardiovascular risk scores are necessary tools to prevent perioperative cardiovascular morbidity and mortality and the most frequently used are Lee/RCRI (Revised Cardiac Risk Index), APACHE II (Acute Physiology and Chronic Health Evaluation), POSSUM (Physiological and Operative Severity Score for the enumeration of Mortality and Morbidity), The American University of Beirut (AUB)-HAS2. To reduce the perioperative risk, there is a need for an appropriate preoperative risk assessment, as well as the choice of the type and timing of surgical intervention. Quantification of surgical risk as low, intermediate, and high is useful in identifying the group of patients who are at risk of complications such as myocardial infarction, thrombosis, arrhythmias, heart failure, stroke or even death. Currently there are not enough studies that can differentiate the risk according to gender, race, elective versus emergency procedure, the value of cardiac biomarkers.
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Affiliation(s)
- Andreea Boghean
- Faculty of Medicine and Pharmacy, University “Dunărea de Jos” Galați, 800008 Galati, Romania;
| | - Cristian Guțu
- Faculty of Medicine and Pharmacy, University “Dunărea de Jos” Galați, 800008 Galati, Romania;
- Emergency Military Hospital “Dr. Aristide Serfioti” Galați, 800150 Galati, Romania
| | - Dorel Firescu
- Faculty of Medicine and Pharmacy, University “Dunărea de Jos” Galați, 800008 Galati, Romania;
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Deana C, Vecchiato M, Azzolina D, Turi S, Boscolo A, Pistollato E, Skurzak S, Amici O, Priolo S, Tonini S, Foti LS, Taddei E, Aceto P, Martino A, Ziccarelli A, Cereser L, Andreutti S, De Carlo S, Lirussi K, Barbariol F, Cammarota G, Polati E, Forfori F, Corradi F, Patruno V, Navalesi P, Maggiore SM, Lucchese F, Petri R, Bassi F, Romagnoli S, Bignami EG, Vetrugno L. Effect on post-operative pulmonary complications frequency of high flow nasal oxygen versus standard oxygen therapy in patients undergoing esophagectomy for cancer: study protocol for a randomized controlled trial-OSSIGENA study. J Thorac Dis 2024; 16:5388-5398. [PMID: 39268119 PMCID: PMC11388233 DOI: 10.21037/jtd-24-575] [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: 04/10/2024] [Accepted: 05/31/2024] [Indexed: 09/15/2024]
Abstract
Background Postoperative pulmonary complications (PPCs) remain a challenge after esophagectomy. Despite improvement in surgical and anesthesiological management, PPCs are reported in as many as 40% of patients. The main aim of this study is to investigate whether early application of high-flow nasal cannula (HFNC) after extubation will provide benefit in terms of reduced PPC frequency compared to standard oxygen therapy. Methods Patients aged 18-85 years undergoing esophagectomy for cancer treatment with radical intent, excluding those with American Society of Anesthesiologists (ASA) score >3 and severe systemic comorbidity (cardiac, pulmonary, renal or hepatic disease) will be randomized at the end of surgery to receive HFNC or standard oxygen therapy (Venturi mask or nasal goggles) after early extubation (within 12 hours after the end of surgery) for 48 hours. The main postoperative goals are to obtain SpO2 ≥94% and adequate pain control. Oxygen therapy after 48 hours will be stopped unless the physician deems it necessary. In case of respiratory clinical worsening, patients will be supported with the most appropriate tool (noninvasive ventilation or invasive mechanical ventilation). Pulmonary [pneumonia, pleural effusion, pneumothorax, atelectasis, acute respiratory distress syndrome (ARDS), tracheo-bronchial injury, air leak, reintubation, and/or respiratory failure] complications will be recorded as main outcome. Secondary outcomes, including cardiovascular, surgical, renal and infective complications will also be recorded. The primary analysis will be carried out on 320 patients (160 per group) and performed on an intention-to-treat (ITT) basis, including all participants randomized into the treatment groups, regardless of protocol adherence. The primary outcome, the PPC rate, will be compared between the two treatment groups using a chi-square test for categorical data, or Fisher's exact test will be used if the assumptions for the chi-square test are not met. Discussion Recent evidence demonstrated that early application of HFNC improved the respiratory rate oxygenation index (ROX index) after esophagectomy but did not reduce PPCs. This randomized controlled multicenter trial aims to assess the potential effect of the application of HFNC versus standard oxygen over PPCs in patients undergoing esophagectomy. Trial Registration This study is registered at clinicaltrial.gov NCT05718284, dated 30 January 2023.
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Affiliation(s)
- Cristian Deana
- Anesthesia and Intensive Care 1, Department of Anesthesia and Intensive Care, Health Integrated Agency of Friuli Centrale, Udine, Italy
| | - Massimo Vecchiato
- General Surgery Unit, Department of Surgery, Health Integrated Agency of Friuli Centrale, Udine, Italy
| | - Danila Azzolina
- Department of Preventive and Environmental Science, University of Ferrara, Ferrara, Italy
- Clinical Trial and Biostatistics, Research and Development Unit, University Hospital of Ferrara, Ferrara, Italy
| | - Stefano Turi
- Department of Anesthesia and Intensive Care, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Annalisa Boscolo
- Department of Medicine, University of Padua, Padua, Italy
- Anesthesia and Intensive Care Unit, Padua University Hospital, Padua, Italy
- Department of Cardiac, Thoracic, Vascular Sciences, and Public Health, University of Padova, Padua, Italy
| | | | - Stefano Skurzak
- Section of Anesthesia and Intensive Care, Città della Salute e della Scienza, Turin, Italy
| | - Ombretta Amici
- Department of Anesthesia, ASST GOM Niguarda, Milan, Italy
| | - Simone Priolo
- Intensive Care and Anesthesia Unit, Azienda Ospedaliera Universitaria Integrata (AOUI) Verona, Verona, Italy
| | - Simone Tonini
- Emergency Department, GB Morgagni-Pierantoni Hospital, Forlì, Italy
| | - Lorenzo Santo Foti
- Department of Anesthesia and Critical Care, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy
| | - Erika Taddei
- Department of Surgical, Medical, Molecular Pathology and Critical Care Medicine, University of Pisa, Pisa, Italy
| | - Paola Aceto
- Department of Emergency, Anesthesiologic and Reanimation Sciences, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
- Department of Basic Biotechnological Science, Intensive and Peri-Operative Clinics, Catholic University of the Sacred Heart, Rome, Italy
| | - Antonio Martino
- General Surgery Unit, Department of Surgery, Health Integrated Agency of Friuli Centrale, Udine, Italy
| | - Antonio Ziccarelli
- General Surgery Unit, Department of Surgery, Health Integrated Agency of Friuli Centrale, Udine, Italy
| | - Lorenzo Cereser
- Institute of Radiology, Department of Medicine, University of Udine, University Hospital "S. Maria della Misericordia", Udine, Italy
| | - Simonetta Andreutti
- Anesthesia and Intensive Care 1, Department of Anesthesia and Intensive Care, Health Integrated Agency of Friuli Centrale, Udine, Italy
| | - Stefano De Carlo
- Anesthesia and Intensive Care 1, Department of Anesthesia and Intensive Care, Health Integrated Agency of Friuli Centrale, Udine, Italy
| | - Kevin Lirussi
- Anesthesia and Intensive Care 1, Department of Anesthesia and Intensive Care, Health Integrated Agency of Friuli Centrale, Udine, Italy
| | - Federico Barbariol
- Anesthesia and Intensive Care 1, Department of Anesthesia and Intensive Care, Health Integrated Agency of Friuli Centrale, Udine, Italy
| | - Gianmaria Cammarota
- Department of Translational Medicine, Università del Piemonte Orientale, Novara, Italy
| | - Enrico Polati
- Intensive Care and Anesthesia Unit, Azienda Ospedaliera Universitaria Integrata (AOUI) Verona, Verona, Italy
- Anesthesiology, Intensive Care and Pain Therapy Center, Department of Surgery, University of Verona, Verona, Italy
| | - Francesco Forfori
- Department of Surgical, Medical, Molecular Pathology and Critical Care Medicine, University of Pisa, Pisa, Italy
| | - Francesco Corradi
- Department of Surgical, Medical, Molecular Pathology and Critical Care Medicine, University of Pisa, Pisa, Italy
| | - Vincenzo Patruno
- Department of Pulmonology, S. Maria della Misericordia University Hospital, Udine, Italy
| | - Paolo Navalesi
- Department of Medicine, University of Padua, Padua, Italy
- Anesthesia and Intensive Care Unit, Padua University Hospital, Padua, Italy
| | - Salvatore Maurizio Maggiore
- Department of Anesthesiology, Critical Care Medicine and Emergency, SS. Annunziata Hospital, Chieti, Italy
- Department of Innovative Technologies in Medicine and Dentistry, Gabriele d'nnunzio University of Chieti-Pescara, Chieti, Italy
| | - Francesca Lucchese
- Anesthesia and Intensive Care 1, Department of Anesthesia and Intensive Care, Health Integrated Agency of Friuli Centrale, Udine, Italy
| | - Roberto Petri
- General Surgery Unit, Department of Surgery, Health Integrated Agency of Friuli Centrale, Udine, Italy
| | - Flavio Bassi
- Anesthesia and Intensive Care 1, Department of Anesthesia and Intensive Care, Health Integrated Agency of Friuli Centrale, Udine, Italy
| | - Stefano Romagnoli
- Department of Anesthesia and Critical Care, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy
- Health Science Department, Section of Anesthesia and Critical Care, University of Florence, Florence, Italy
| | - Elena Giovanna Bignami
- Anesthesiology, Critical Care and Pain Medicine Division, Department of Medicine and Surgery, University of Parma, Parma, Italy
| | - Luigi Vetrugno
- Department of Anesthesiology, Critical Care Medicine and Emergency, SS. Annunziata Hospital, Chieti, Italy
- Department of Medical, Oral and Biotechnological Sciences, University of Chieti-Pescara, Chieti, Italy
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Cao L, Wang X, Yan Y, Ning Z, Ma L, Li Y. Analysis of competing risks of cardiovascular death in patients with hepatocellular carcinoma: A population-based study. Medicine (Baltimore) 2023; 102:e36705. [PMID: 38134062 PMCID: PMC10735158 DOI: 10.1097/md.0000000000036705] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Accepted: 11/27/2023] [Indexed: 12/24/2023] Open
Abstract
Clinical data has shown that cardiovascular diseases (CVDs) have emerged as a prominent cause of mortality in individuals with hepatocellular carcinoma (HCC). This research aimed to reveal the comorbid effects of CVDs in patients with HCC. The cardiovascular mortality of patients diagnosed with HCC between 2000 and 2014 was compared to that of the general US population. Standardized mortality ratios were calculated to quantify the relative risk of cardiovascular mortality in HCC patients. The cumulative incidence of cardiovascular death (CVD) was estimated using Fine-Gray testing, and independent risk factors for CVD were determined using competing risk models. The results were analyzed using the Kaplan-Meier analysis. The overall SMR for CVD in HCC patients was 11.15 (95% CI: 10.99-11.32). The risk of CVD was significantly higher in patients aged < 55 years (SMR: 56.19 [95% CI: 54.97-57.44]) compared to those aged ≥ 75 years (SMR: 1.86 [95% CI: 1.75-1.97]). This study suggests that patients with HCC are at significant risk of developing CVD. Competing risk analyses indicated that age, grade, tumor size, surveillance, epidemiology, and end results stage, and surgical status were independent risk factors for CVD in patients with HCC. Therefore, patients with HCC require enhanced preventive screening and management of CVDs during and after treatment to improve patient survival.
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Affiliation(s)
- Lizhi Cao
- School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China
- University of Shanghai for Science and Technology, Shanghai, China
| | - Xiaoying Wang
- Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Shanghai, China
| | - Yuzhong Yan
- Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Shanghai, China
| | - Zhongping Ning
- Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Shanghai, China
| | - Linlin Ma
- University of Shanghai for Science and Technology, Shanghai, China
- Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Shanghai, China
| | - Yanfei Li
- University of Shanghai for Science and Technology, Shanghai, China
- Shanghai University of Medicine and Health Sciences Affiliated Zhoupu Hospital, Shanghai, China
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Liu Y, Liu H, Zhang F. Development and Internal Validation of a Nomogram for Predicting Postoperative Cardiac Events in Elderly Hip Fracture Patients. Clin Interv Aging 2023; 18:2063-2078. [PMID: 38107187 PMCID: PMC10725632 DOI: 10.2147/cia.s435264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2023] [Accepted: 12/01/2023] [Indexed: 12/19/2023] Open
Abstract
Purpose Postoperative cardiac events (PCEs) are among the main adverse events after hip fracture surgery in the elderly. Existing cardiac risk assessment tools have some limitations and are not specifically designed for elderly patients undergoing hip fracture surgery. This study aimed to develop and internally validate a nomogram for prediction of PCEs in these patients. Patients and Methods We performed a retrospective study of 992 patients aged ≥65 years undergoing hip fracture surgery in our hospital from July 2015 to December 2021. Patients' demographics and clinical data were collected. Least Absolute Shrinkage and Selection Operator (LASSO) regression was used to select predictors, and multivariate logistic regression was employed to construct a nomogram. Internal validation was performed by bootstrapping. The discriminatory ability of the model was determined by the area under the receiver operating characteristic curve (AUC). The calibration and clinical utility of the model were assessed. The predictive power and clinical benefit of the nomogram were compared with the Revised Cardiac Risk Index (RCRI). Results The nomogram was constructed including seven variables: general anesthesia, the American Society of Anesthesiologists (ASA) classification, history of heart failure, history of severe arrhythmia, history of coronary artery disease, preoperative platelet count, and serum creatinine. The nomogram had an excellent predictive ability (AUC = 0.875, 95% confidence interval [CI]: 0.828-0.918). Satisfactory calibration was shown by calibration plots and the Hosmer-Lemeshow goodness-of-fit test (P = 0.520). Clinical usefulness was confirmed by decision curve analysis and clinical impact curve. The predictive power and clinical utility of the nomogram were superior to RCRI. Conclusion We developed an easy-to-use nomogram for prediction of PCEs in elderly hip fracture patients. This prediction model could effectively identify patients at high risk of PCEs and may be useful for perioperative management optimization.
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Affiliation(s)
- Yuanmei Liu
- Department of Geriatrics, Peking University Third Hospital, Beijing, 100191, People’s Republic of China
| | - Huilin Liu
- Department of Geriatrics, Peking University Third Hospital, Beijing, 100191, People’s Republic of China
| | - Fuchun Zhang
- Department of Geriatrics, Peking University Third Hospital, Beijing, 100191, People’s Republic of China
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Liang JW, Zhou M, Jin YQ, Li TT, Wen JP. High-sensitivity troponin T levels before and after cardiac surgery and the 30-day mortality: a retrospective cohort study. Front Cardiovasc Med 2023; 10:1276035. [PMID: 38099226 PMCID: PMC10720580 DOI: 10.3389/fcvm.2023.1276035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Accepted: 11/13/2023] [Indexed: 12/17/2023] Open
Abstract
Background The suggested threshold level of cardiac troponin T elevation after cardiac surgery is not very clear, and the values recommended by various guidelines and literature reports are quite different. Methods In this retrospective cohort study, we collected clinical data of patients who underwent heart surgery at Tsinghua University First Hospital between January 2015 and December 2022. Using the high-sensitivity cardiac troponin T levels (reference upper limit: 14 ng/L) measured at 1-3 days postoperation, the relationship between the cardiac troponin T level and the 30-day mortality risk was evaluated using Cox regression analysis. Results Among the 3,128 patients included in this study, the types of operations mainly consisted of coronary artery bypass graft (CABG, 1,164, 37.2%), aortic valve replacement (AVR, 735, 23.5%), and other cardiac operations (1,229, 39.3%). Within 30 days postoperation, 57 patients (1.8%) died and 72 patients (2.3%) developed major vascular complications. In patients undergoing CABG or AVR, the cardiac troponin T threshold level measured within one day postoperation related to an increased 30-day mortality was determined to be 3,012 ng/L (95% CI: 1,435-3,578 ng/L), which is 218 times higher than the reference upper limit. In patients undergoing other cardiac operations, this threshold was 5,876 ng/L (95% CI: 2,458-8,119 ng/L), which is 420 times higher than the reference upper limit. Conclusion The high-sensitivity cardiac troponin T level associated with an increased 30-day mortality risk after cardiac surgery is significantly higher than the current recommendations for defining clinically important perioperative myocardial injury.
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Affiliation(s)
- Jian-Wei Liang
- Laboratory Medicine Department, Tsinghua University First Hospital, Beijing, China
| | - Min Zhou
- Obstetrics and Gynecology Department, Tsinghua University First Hospital, Beijing, China
| | - Yong-Qiang Jin
- Department of Medical Laboratory, Tianjin Medical University, Tianjin, China
| | - Ting-Ting Li
- Laboratory Medicine Department, Tsinghua University First Hospital, Beijing, China
| | - Jiang-Ping Wen
- Laboratory Medicine Department, Tsinghua University First Hospital, Beijing, China
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