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Predicting Outcomes of Penetrating Cardiovascular Injuries at a Rural Center by Different Scoring Systems.

ABSTRACT: OBJECTIVE:To compare the anatomical and physiological scoring systems and the outcomes of surgical management of penetrating cardiovascular trauma at a rural center. METHODS:Seventy-seven patients underwent emergency surgery at our center between January/2012 and October/2018 due to penetrating cardiovascular trauma. Injury Severity Score (ISS), Revised Trauma Score (RTS), New Injury Severity Score (NISS), and Trauma and Injury Severity Score (TRISS) were calculated. The validation of these risk scores to predict mortality was assessed by the area under the receiver operating characteristic curve analysis. RESULTS:All trauma scores were correlated with mortality. As ISS, NISS, and TRISS values increased and RTS values decreased, the mortality rate increased. The area under the curve (AUC) in the receiver operating characteristic curve analysis was 0.943 for TRISS, 0.915 for RTS, 0.890 for ISS, and 0.896 for NISS (P<0.001 for each). Logistic regression analysis revealed that scores were correlated with mortality (P<0.001 for each). By investigating cardiac injuries alone, only TRISS and RTS results correlated with mortality for cardiac injuries (Mann-Whitney U test, P=0.003 and P=0.01, respectively). The AUC was only statistically significant for TRISS and RTS (AUC=0.929, P<0.05 for both). For vascular injuries, all the scores were significantly correlated with in-hospital mortality (Mann-Whitney U test, P<0.001 for each). TRISS had the highest AUC (AUC=0.946, P<0.001). CONCLUSION:TRISS has the highest predictivity for in-hospital mortality in patients with penetrating cardiovascular trauma.

SUBMITTER: Arikan AA

PROVIDER: S-EPMC7199982 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature

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Predicting Outcomes of Penetrating Cardiovascular Injuries at a Rural Center by Different Scoring Systems.

Arikan Ali Ahmet AA Selçuk Emre E Bayraktar Fatih Avni FA

Brazilian journal of cardiovascular surgery 20200401 2

<h4>Objective</h4>To compare the anatomical and physiological scoring systems and the outcomes of surgical management of penetrating cardiovascular trauma at a rural center.<h4>Methods</h4>Seventy-seven patients underwent emergency surgery at our center between January/2012 and October/2018 due to penetrating cardiovascular trauma. Injury Severity Score (ISS), Revised Trauma Score (RTS), New Injury Severity Score (NISS), and Trauma and Injury Severity Score (TRISS) were calculated. The validatio ...[more]

PMID: 32369301

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Project description:Background Previous studies have suggested a strong association of liver fibrosis scores (LFSs) with cardiovascular outcomes in patients with different cardiovascular diseases. Nonetheless, it is basically blank regarding the prognostic significance of LFSs in patients following percutaneous coronary intervention (PCI). This study sought to examine the potential role of LFSs in predicting long-term outcomes in a large cohort of patients with stable coronary artery disease after elective PCI. Methods and Results In this multicenter, prospective study, we consecutively enrolled 4003 patients with stable coronary artery disease undergoing PCI. Eight currently available noninvasive LFSs were assessed for each subject. All patients were followed up for the occurrence of cardiovascular events including cardiovascular death, nonfatal myocardial infarction, and stroke. During an average follow-up of 5.0±1.6 years, 315 (7.87%) major cardiovascular events were recorded. Subjects who developed cardiovascular events were more likely to have intermediate or high LFSs, including nonalcoholic fatty liver disease fibrosis score; fibrosis-4 score; body mass index, aspartate aminotransferase/alanine aminotransferase ratio, diabetes mellitus score (BARD); and aspartate aminotransferase/alanine aminotransferase ratio. Furthermore, compared with subjects with low scores, those with intermediate plus high score levels had significantly increased risk of cardiovascular events (adjusted hazard ratios ranging 1.57-1.92). Moreover, the addition of non-alcoholic fatty liver disease fibrosis score; fibrosis-4 score; or body mass index, aspartate aminotransferase/alanine aminotransferase ratio, diabetes mellitus score into a model with established cardiovascular risk factors significantly improved the prediction ability. Conclusions High LFSs levels might be useful for predicting adverse prognosis in patients with stable coronary artery disease following PCI, suggesting the possibility of the application of LFSs in the risk stratification before elective PCI.

Project description:BackgroundCoronavirus disease 2019 (COVID-19) has been widely spread and caused tens of thousands of deaths, especially in patients with severe COVID-19. This analysis aimed to explore risk factors for mortality of severe COVID-19, and establish a scoring system to predict in-hospital deaths.MethodsPatients with COVID-19 were retrospectively analyzed and clinical characteristics were compared. LASSO regression as well as multivariable analysis were used to screen variables and establish prediction model.FindingsA total of 2529 patients with COVID-19 was retrospectively analyzed, and 452 eligible severe COVID-19 were used for finally analysis. In training cohort, the median age was 66•0 years while it was 73•0 years in non-survivors. Patients aged 60-75 years accounted for the largest proportion of infected populations and mortality toll. Anti-SARS-CoV-2 antibodies were monitored up to 54 days, and IgG levels reached the highest during 20-30 days. No differences were observed of antibody levels between severe and non-severe patients. About 60.2% of severe patients had complications. Among acute myocardial injury (AMI), acute kidney injury (AKI) and acute liver injury (ALI), the heart was the earliest injured organ, whereas the time from AKI to death was the shortest. Age, diabetes, coronary heart disease (CHD), percentage of lymphocytes (LYM%), procalcitonin (PCT), serum urea, C reactive protein and D-dimer (DD), were identified associated with mortality by LASSO binary logistic regression. Then multivariable analysis was performed to conclude that old age, CHD, LYM%, PCT and DD remained independent risk factors for mortality. Based on the above variables, a scoring system of COVID-19 (CSS) was established to divide patients into low-risk and high-risk groups. This model displayed good discrimination (AUC=0·919) and calibration (P=0·264). Complications in low-risk and high-risk groups were significantly different (P<0·05). Use of corticosteroids in low-risk groups increased hospital stays by 4·5 days (P=0·036) and durations of disease by 7·5 days (P=0·012) compared with no corticosteroids.InterpretationOld age, CHD, LYM%, PCT and DD were independently related to mortality. CSS was useful for predicting in-hospital mortality and complications, and it could help clinicians to identify high-risk patients with poor prognosis.FundingThis work was supported by the Key Project for Anti-2019 novel Coronavirus Pneumonia from the Ministry of Science and Technology, China (grant number 2020YFC0845500).

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Predicting Outcomes of Penetrating Cardiovascular Injuries at a Rural Center by Different Scoring Systems.

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Predicting Outcomes of Penetrating Cardiovascular Injuries at a Rural Center by Different Scoring Systems.

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