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Myocardial Injury at Early Stage and Its Association With the Risk of Death in COVID-19 Patients: A Hospital-Based Retrospective Cohort Study.

ABSTRACT: Background: There are growing evidence demonstrating that coronavirus disease 2019 (COVID-19) is companied by acute myocardial injury. However, the associations of SARS-CoV-2-induced myocardial injury with the risk of death and prognosis after discharge in COVID-19 patients are unclear. Methods: This prospective cohort study analyzed 355 COVID-19 patients from two hospitals in different regions. Clinical and demographic information were collected and prognosis was followed up. Results: Of 355 hospitalized patients with COVID-19, 213 were mild, 90 severe, and 52 critically ill patients. On admission, 59 (16.7%) patients were with myocardial injury. Myocardial injury was more popular in critically ill patients. Univariate and multivariate logistic regression revealed that male, older age and comorbidity with hypertension were three crucial independent risk factors predicting myocardial injury of COVID-19 patients. Among 59 COVID-19 patients with myocardial injury, 25 (42.4%) died on average 10.9 days after hospitalization. Mortality was increased among COVID-19 patients with myocardial injury (42.4 vs. 3.38%, RR = 12.542, P < 0.001). Follow-up study observed that 4.67% COVID-19 patients with myocardial injury were not fully recovered in 14 days after discharge. Conclusion: Myocardial injury at early stage elevates mortality of COVID-19 patients. Male elderly patients with hypertension are more vulnerable to myocardial injury. SARS-CoV-2-induced myocardial injury has not completely recovered in 14 days after discharge.

SUBMITTER: Fu L

PROVIDER: S-EPMC7661636 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Myocardial Injury at Early Stage and Its Association With the Risk of Death in COVID-19 Patients: A Hospital-Based Retrospective Cohort Study.

Fu Lin L Li Xiu-Yong XY Fei Jun J Xiang Ying Y Xiang Hui-Xian HX Li Meng-Die MD Liu Fang-Fang FF Li Ying Y Zhao Hui H Xu De-Xiang DX

Frontiers in cardiovascular medicine 20201030

Background: There are growing evidence demonstrating that coronavirus disease 2019 (COVID-19) is companied by acute myocardial injury. However, the associations of SARS-CoV-2-induced myocardial injury with the risk of death and prognosis after discharge in COVID-19 patients are unclear. Methods: This prospective cohort study analyzed 355 COVID-19 patients from two hospitals in different regions. Clinical and demographic information were collected and prognosis was followed up. R ...[more]

PMID: 33195480

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Project description:BackgroundMyocardial injury after non-cardiac surgery (MINS) is the most common perioperative cardiovascular complication and is independently associated with 30-day mortality. We aimed to assess the association between preoperative glucose concentration and postoperative MINS and mortality.MethodsThe VISION study is a prospective cohort study done at 12 centres in eight countries. Patients aged 45 years or older who required at least one overnight hospital admission for non-cardiac surgery were enrolled from Aug 6, 2007, to Jan 11, 2011. In the GlucoVISION analysis, we assessed the relations between preoperative casual or fasting glucose concentration and MINS within 3 days after surgery using logistic regression, and 30-day mortality using Cox proportional regression, in people with and without diabetes.Findings11 954 patients were included in this analysis, of whom 2809 (23%) had diabetes. Within the first three postoperative days, MINS occurred in 813 (7%) patients. 249 (2%) patients died by day 30. More patients with diabetes had MINS (odds ratio [OR] 1·98 [95% CI 1·70-2·30]; p<0·0001), and died (OR 1·41 [1·08-1·86]; p=0·016) than did patients without diabetes. Casual glucose concentrations were associated with MINS in all patients (adjusted OR 1·06 [1·04-1·09] per 1 mmol/L increment in glucose; p=0·0003), and with death in patients without diabetes (adjusted hazard ratio [HR] 1·13 [95% CI 1·05-1·23] per mmol/L; p=0·002). We noted a progressive relation between unadjusted fasting glucose concentration and both MINS (OR 1·14 [1·08-1·20] per mmol/L; p<0·0001), driven by the effect in the subgroup without previous diabetes (pinteraction=0·025), and 30-day mortality (HR 1·10 [1·02-1·19] per mmol/L; p=0·013). For patients without diabetes, casual glucose of more than 6·86 mmol/L and fasting glucose of more than 6·41 mmol/L predicted MINS (OR 1·71 [1·36-2·15]; p<0·0001, and OR 2·71 [1·85-3·98]; p<0·0001, respectively). For patients with diabetes, only casual glucose concentration more than 7·92 mmol/L predicted MINS (OR 1·47 [1·10-1·96]; p=0·0096).InterpretationPreoperative glucose concentration, particularly casual glucose concentration, predicts risk for postoperative cardiovascular outcomes, especially in patients without diabetes.FundingFull funding sources listed at the end of the paper (see Acknowledgments).

Project description:ObjectivesTo determine preoperative factors associated to myocardial injury after non-cardiac surgery (MINS) and to develop a prediction model of MINS.DesignRetrospective analysis.SettingTertiary hospital in Spain.ParticipantsPatients aged ≥45 years undergoing major non-cardiac surgery and with at least two measures of troponin levels within the first 3 days of the postoperative period. All patients were screened for the MANAGE trial.Primary and secondary outcome measuresWe used multivariable logistic regression analysis to study risk factors associated with MINS and created a score predicting the preoperative risk for MINS and a nomogram to facilitate bed-side use. We used Least Absolute Shrinkage and Selection Operator method to choose the factors included in the predictive model with MINS as dependent variable. The predictive ability of the model was evaluated. Discrimination was assessed with the area under the receiver operating characteristic curve (AUC) and calibration was visually assessed using calibration plots representing deciles of predicted probability of MINS against the observed rate in each risk group and the calibration-in-the-large (CITL) and the calibration slope. We created a nomogram to facilitate obtaining risk estimates for patients at pre-anaesthesia evaluation.ResultsOur cohort included 3633 patients recruited from 9 September 2014 to 17 July 2017. The incidence of MINS was 9%. Preoperative risk factors that increased the risk of MINS were age, American Status Anaesthesiology classification and vascular surgery. The predictive model showed good performance in terms of discrimination (AUC=0.720; 95% CI: 0.69 to 0.75) and calibration slope=1.043 (95% CI: 0.90 to 1.18) and CITL=0.00 (95% CI: -0.12 to 0.12).ConclusionsOur predictive model based on routinely preoperative information is highly affordable and might be a useful tool to identify moderate-high risk patients before surgery. However, external validation is needed before implementation.

Dataset Information

Myocardial Injury at Early Stage and Its Association With the Risk of Death in COVID-19 Patients: A Hospital-Based Retrospective Cohort Study.

Publications

Myocardial Injury at Early Stage and Its Association With the Risk of Death in COVID-19 Patients: A Hospital-Based Retrospective Cohort Study.

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