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Perioperative acute myocardial infarction in patients after non-cardiac surgery in China: Characteristics and risk factors.

ABSTRACT: To examine the characteristics and short-term outcome of perioperative myocardial infarction (PMI), a single-center retrospective study was carried out. The electronic medical records of 278,939 patients aged 45 years or older who underwent non-cardiac surgery at Renji Hospital from January 2003 to December 2015 were screened based on diagnostic codes (ICD121, ICD121.0, ICD121.1, ICD121.2, ICD121.3, ICD121.4, or ICD121.9). The incidence and characteristics of PMI and mortality risk factors were analyzed after non-cardiac surgery. PMI was reported in 45 patients, with an incidence rate of 1.61 per 10,000 and a mortality rate of 75.6% (34/45). The PMI incidence rate increased significantly with age. The PMI incidence rate was the highest for vascular surgery (5.82 per 10,000 cases). PMI occurs mainly within 48?h of surgery, with most cases showing an onset in the general wards. Logistic analysis showed that the use of nitrates is the independent protective factor for the outcomes of patients with PMI. The incidence of PMI in non-cardiac surgery is approximately 2 of 10,000 in patients aged 45 years or older, and increased significantly with age. The use of nitrates might be helpful for their survival.

SUBMITTER: Zhou X

PROVIDER: S-EPMC6716711 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature

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Perioperative acute myocardial infarction in patients after non-cardiac surgery in China: Characteristics and risk factors.

Zhou Xiaoxin X Chen Lingke L Su Zhongxue Z Li Yue Y Tu Mengyun M Xiao Jie J Pan Zhiying Z Su Diansan D

Medicine 20190801 34

To examine the characteristics and short-term outcome of perioperative myocardial infarction (PMI), a single-center retrospective study was carried out. The electronic medical records of 278,939 patients aged 45 years or older who underwent non-cardiac surgery at Renji Hospital from January 2003 to December 2015 were screened based on diagnostic codes (ICD121, ICD121.0, ICD121.1, ICD121.2, ICD121.3, ICD121.4, or ICD121.9). The incidence and characteristics of PMI and mortality risk factors were ...[more]

PMID: 31441880

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Project description:BACKGROUND:Among patients undergoing noncardiac surgery, major vascular surgery is associated with a high risk of perioperative myocardial infarction (MI). Currently, there are no perioperative MI risk calculators accounting for intraoperative and postoperative risk factors in vascular surgery patients. We aimed to investigate specific risk factors for perioperative MI after major open vascular surgery to determine which patients are at highest risk of MI and the association of perioperative MI with perioperative transfusion. METHODS:This statewide, retrospective cohort study analyzed risk factors for perioperative MI in major open vascular surgery between July 2012 and December 2015 using the Michigan Surgical Quality Collaborative, a multicenter quality collaborative. Patients were identified using current procedure terminology codes including open abdominal aortic aneurysm repairs (oAAA), aortobifemoral bypasses (AFB), and lower extremity bypasses (LEB). Rates of myocardial infarction were described for each procedure. A priori, preoperative, intraoperative, and postoperative variables were evaluated using univariate and multivariable statistics after adjusting for intraoperative factors including anesthesia type, intraoperative blood loss, intraoperative transfusion, and intraoperative vasopressor medications. RESULTS:A total of 3,689 patients underwent major open vascular surgery, including 375 oAAA, 392 AFB, and 2,922 LEB procedures. The overall incidence of MI was 2.4%, varying from 1.8% for aortobifemoral bypass, 2.4% for lower extremity bypass, and 3.7% for open abdominal aortic aneurysm repair. Although preoperative risk factors for myocardial infarction included age, American Society of Anesthesiologists score, diabetes, coronary artery disease, congestive heart failure, use of beta blocker, lower preoperative hematocrit, and surgical priority (urgent/emergent cases), after adjusting for intraoperative risk factors, all preoperative risk factors were not significant with the exception of surgical priority. After adjusting for intraoperative factors, only surgical priority (odds ratio [OR] = 1.70, 95% confidence interval [CI] [1.01-2.85], P < 0.001) and postoperative transfusion (OR = 2.65, 95% CI [1.59-4.44], P < 0.001) was associated with myocardial infarction, and higher nadir hematocrit was inversely associated with myocardial infarction (OR = 0.89, 95% CI [0.85-0.94], P < 0.001). CONCLUSIONS:Among vascular surgery patients undergoing major open vascular surgery, surgical priority was the only preoperative risk factors independently associated with MI, and only postoperative variables such as nadir hematocrit and postoperative transfusion were associated with MI. This suggests minimizing intraoperative blood loss and prioritizing early intraoperative transfusion may be the potential targets for process improvement.

Project description:ImportanceReturn to work is an important indicator of recovery after acute myocardial infarction. Little is known, however, about the rate of returning to work within the year after an acute myocardial infarction in China, as well as the factors associated with returning to work after an acute myocardial infarction.ObjectivesTo determine the rate of return to work within 12 months after acute myocardial infarction, classify the reasons why patients did not return to work, and identify patient factors associated with returning to work.Design, setting, and participantsThis prospective cohort study, conducted in 53 hospitals across 21 provinces in China, identified 1566 patients who were employed at the time of the index acute myocardial infarction hospitalization and participating in the China Patient-centered Evaluative Assessment of Cardiac Events Prospective Study of Acute Myocardial Infarction. Data collected included patients' baseline characteristics; employment status at 12 months after acute myocardial infarction; and, for those who were not employed at 12 months, potential reasons for not returning to work. A logistic regression model was fitted to identify factors associated with returning to work at 12 months. Data were collected from January 1, 2013, through July 17, 2014, and statistical analysis was conducted from August 9, 2016, to August 15, 2018.Main outcomes and measuresReturn to work, defined as rejoining the workforce within 12 months after discharge from hospitalization for the index acute myocardial infarction.ResultsOf 1566 patients (130 women and 1436 men; mean [SD] age, 52.2 [9.7] years), 875 patients (55.9%; 95% CI, 53.4%-58.3%) returned to work by 12 months after acute myocardial infarction. Among the 691 patients who did not return to work, 287 (41.5%) were unable to work and/or preferred not to work because of acute myocardial infarction and 131 (19.0%) retired early owing to the acute myocardial infarction. Female sex (relative risk, 0.65; 95% CI, 0.41-0.88), a history of smoking (relative risk, 0.82; 95% CI, 0.65-0.98), and in-hospital complications during the index acute myocardial infarction (relative risk, 0.96; 95% CI, 0.93-0.99) were associated with a lower likelihood of returning to work.Conclusions and relevanceAlmost half of the previously employed Chinese patients did not return to work within 12 months after acute myocardial infarction. Female sex, history of smoking, and in-hospital complications were associated with a lower likelihood of returning to work.Trial registrationClinicalTrials.gov Identifier: NCT01624909.

Project description:Identification of patient subpopulations susceptible to develop myocardial infarction (MI) or, conversely, those displaying either intrinsic cardioprotective phenotypes or highly responsive to protective interventions remain high-priority knowledge gaps. We sought to identify novel common genetic variants associated with perioperative MI in patients undergoing coronary artery bypass grafting using genome-wide association methodology.107 secondary and tertiary cardiac surgery centres across the USA.We conducted a stage I genome-wide association study (GWAS) in 1433 ethnically diverse patients of both genders (112 cases/1321 controls) from the Genetics of Myocardial Adverse Outcomes and Graft Failure (GeneMAGIC) study, and a stage II analysis in an expanded population of 2055 patients (225 cases/1830 controls) combined from the GeneMAGIC and Duke Perioperative Genetics and Safety Outcomes (PEGASUS) studies. Patients undergoing primary non-emergent coronary bypass grafting were included.The primary outcome variable was perioperative MI, defined as creatine kinase MB isoenzyme (CK-MB) values ?10× upper limit of normal during the first postoperative day, and not attributable to preoperative MI. Secondary outcomes included postoperative CK-MB as a quantitative trait, or a dichotomised phenotype based on extreme quartiles of the CK-MB distribution.Following quality control and adjustment for clinical covariates, we identified 521 single nucleotide polymorphisms in the stage I GWAS analysis. Among these, 8 common variants in 3 genes or intergenic regions met p<10(-5) in stage II. A secondary analysis using CK-MB as a quantitative trait (minimum p=1.26×10(-3) for rs609418), or a dichotomised phenotype based on extreme CK-MB values (minimum p=7.72×10(-6) for rs4834703) supported these findings. Pathway analysis revealed that genes harbouring top-scoring variants cluster in pathways of biological relevance to extracellular matrix remodelling, endoplasmic reticulum-to-Golgi transport and inflammation.Using a two-stage GWAS and pathway analysis, we identified and prioritised several potential susceptibility loci for perioperative MI.

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Perioperative acute myocardial infarction in patients after non-cardiac surgery in China: Characteristics and risk factors.

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Perioperative acute myocardial infarction in patients after non-cardiac surgery in China: Characteristics and risk factors.

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