Assessment of appropriate body mass index cut-off points for long-term mortality among ST-elevation myocardial infarction survivors in Asian population using machine learning algorithm

2021 ◽  
Author(s):  
Naoki Yoshioka ◽  
Kensuke Takagi ◽  
Akihito Tanaka ◽  
Yasuhiro Morita ◽  
Ruka Yoshida ◽  
...  
Keyword(s):  
Machine Learning ◽  
Myocardial Infarction ◽  
Body Mass Index ◽  
Body Mass ◽  
Learning Algorithm ◽  
Asian Population ◽  
Machine Learning Algorithm ◽  
St Elevation ◽  
Long Term Mortality

Body mass index linked to short-term and long-term all-cause mortality in patients with acute myocardial infarction

2021 ◽  
pp. postgradmedj-2020-139677
Author(s):  
Rui Yang ◽  
Wen Ma ◽  
Zi-Chen Wang ◽  
Tao Huang ◽  
Feng-Shuo Xu ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Body Mass Index ◽  
Intensive Care ◽  
Body Mass ◽  
Normal Weight ◽  
Short Term ◽  
Icu Patients ◽  
Long Term Mortality

Purposes of studyThis study aimed to elucidate the relationship between obesity and short-term and long-term mortality in patients with acute myocardial infarction (AMI) by analysing the body mass index (BMI).Study designA retrospective cohort study was performed on adult intensive care unit (ICU) patients with AMI in the Medical Information Mart for Intensive Care III database. The WHO BMI classification was used in the study. The Kaplan-Meier curve was used to show the likelihood of survival in patients with AMI. The relationships of the BMI classification with short-term and long-term mortality were assessed using Cox proportional hazard regression models.ResultsThis study included 1295 ICU patients with AMI, who were divided into four groups according to the WHO BMI classification. Our results suggest that obese patients with AMI tended to be younger (p<0.001), be men (p=0.001) and have higher blood glucose and creatine kinase (p<0.001) compared with normal weight patients. In the adjusted model, compared with normal weight AMI patients, those who were overweight and obese had lower ICU risks of death HR=0.64 (95% CI 0.46 to 0.89) and 0.55 (0.38 to 0.78), respectively, inhospital risks of death (0.77 (0.56 to 1.09) and 0.61 (0.43 to 0.87)) and long-term risks of death (0.78 0.64 to 0.94) and 0.72 (0.59 to 0.89). On the other hand, underweight patients had higher risks of short-term(ICU or inhospital mortality) and long-term mortality compared with normal weight patients (HR=1.39 (95% CI 0.58 to 3.30), 1.46 (0.62 to 3.42) and 1.99 (1.15 to 3.44), respectively).ConclusionsOverweight and obesity were protective factors for the short-term and long-term risks of death in patients with AMI.

scholarly journals Clinical characteristics and long-term mortality of patients with midrange ejection fraction undergoing primary percutaneous coronary intervention for ST-elevation myocardial infarction

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
J Vratonjic ◽  
D Milasinovic ◽  
M Asanin ◽  
V Vukcevic ◽  
S Zaharijev ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Percutaneous Coronary Intervention ◽  
Ejection Fraction ◽  
Primary Percutaneous Coronary Intervention ◽  
Coronary Intervention ◽  
Primary Pci ◽  
Percutaneous Coronary ◽  
St Elevation ◽  
Long Term Mortality

Abstract Background Previous studies associated midrange ejection fraction (mrEF) with impaired prognosis in patients with ST-elevation myocardial infarction (STEMI). Purpose Our aim was to assess clinical profile and short- and long-term mortality of patients with mrEF after STEMI treated with primary percutaneous coronary intervention (PCI). Methods This analysis included 8148 patients admitted for primary PCI during 2009–2019, from a high-volume tertiary center, for whom echocardiographic parameters obtained during index hospitalization were available. Midrange EF was defined as 40–49%. Adjusted Cox regression models were used to assess 30-day and 5-year mortality hazard of mrEF, with the reference category being preserved EF (&gt;50%). Results mrEF was present in 29.8% (n=2 427), whereas low ejection fraction (EF&lt;40%) was documented in 24.7% of patients (n=2 016). mrEF was associated with a higher baseline risk as compared with preserved EF patients, but lower when compared with EF&lt;40%, in terms of prior MI (14.5% in mrEF vs. 9.9% in preserved EF vs. 24.2% in low EF, p&lt;0.001), history of diabetes (26.5% vs. 21.2% vs. 30.0%, p&lt;0.001), presence of Killip 2–4 on admission (15.7% vs. 6.9% vs. 26.5%, p&lt;0.001) and median age (61 vs. 59 vs. 64 years, p&lt;0.001). At 30 days, mortality was comparable in mrEF vs. preserved EF group, while it was significantly higher in the low EF group (2.7% vs. 1.6% vs. 9.4%, respectively, p&lt;0.001). At 5 years, mrEF patients had higher crude mortality rate as compared with preserved EF, but lower in comparison with low EF (25.1% vs. 17.0% vs. 48.7%, p&lt;0.001) (Figure). After adjusting for the observed baseline differences mrEF was independently associated with increased mortality at 5 years (HR 1.283, 95% CI: 1.093–1.505, p=0.002), but not at 30 days (HR 1.444, 95% CI: 0.961–2.171, p&lt;0.001). Conclusion Patients with mrEF after primary PCI for STEMI have a distinct baseline clinical risk profile, as compared with patients with reduced (&lt;40%) and preserved (≥50%) EF. Importantly, mrEF did not have a significant impact on short-term mortality following STEMI, but it did independently predict the risk of 5-year mortality. Funding Acknowledgement Type of funding source: None

scholarly journals Characteristics and long-term mortality of patients with ST-elevation or non-ST-elevation myocardial infarction after orthopaedic surgery

2021 ◽  
Vol 49 (3) ◽  
pp. 030006052199299
Author(s):  
Wenlan Hu ◽  
Kaiping Zhao ◽  
Youzhou Chen ◽  
Jihong Wang ◽  
Mei Zheng ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Orthopaedic Surgery ◽  
Troponin I ◽  
Cox Regression ◽  
St Elevation Myocardial Infarction ◽  
Entire Cohort ◽  
St Elevation ◽  
Universal Definition ◽  
Long Term Mortality

Objective To investigate the clinical characteristics and long-term mortality of patients with ST-elevation myocardial infarction (STEMI) and non-ST-elevation myocardial infarction (NSTEMI) after orthopaedic surgery. Methods This retrospective, single-centre study enrolled patients that underwent inpatient orthopaedic surgery from 2009 to 2017 in Beijing Jishuitan Hospital. The patients were screened for a cardiac troponin I elevation and fulfilled the Fourth Universal Definition of Myocardial Infarction within 30 days of surgery. Results A total of 180 patients that developed perioperative myocardial infarction (MI) were included in the study. Among them, 14 patients (7.8%) were classified as STEMI, and 166 (92.2%) had NSTEMI. Compared with those with NSTEMI, STEMI patients had significantly higher 30-day and long-term mortality rates (50.0% versus 5.4%; 71.4% versus 22.3%; respectively). Multivariate Cox regression model analysis among the entire cohort demonstrated that STEMI (hazard ratio [HR] 5.78, 95% confidence interval [CI] 2.50, 13.38) and prior MI (HR 2.35, 95% CI 1.02, 5.38) were the most significant independent predictors of long-term mortality. Conclusion Perioperative MI after orthopaedic surgery was associated with a high mortality rate. STEMI was independently associated with a significant increase in short- and long-term mortality.

scholarly journals Impact of hypoalbuminemia, frailty, and body mass index on early prognosis in older patients (≥85 years) with ST-elevation myocardial infarction

2015 ◽  
Vol 66 (3) ◽  
pp. 263-268 ◽  
Author(s):  
Yasumori Sujino ◽  
Jun Tanno ◽  
Shintaro Nakano ◽  
Shuhei Funada ◽  
Yoshie Hosoi ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Body Mass Index ◽  
Body Mass ◽  
Older Patients ◽  
St Elevation Myocardial Infarction ◽  
St Elevation

Impact of age on short- and long-term mortality of patients with ST-elevation myocardial infarction in the VIENNA STEMI network

2017 ◽  
Vol 130 (5-6) ◽  
pp. 172-181 ◽  
Author(s):  
Paul Michael Haller ◽  
Bernhard Jäger ◽  
Serdar Farhan ◽  
Günter Christ ◽  
Wolfgang Schreiber ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
St Elevation Myocardial Infarction ◽  
Short And Long Term ◽  
St Elevation ◽  
Long Term Mortality

scholarly journals Analyzing the Impact of Climate Factors on GNSS-Derived Displacements by Combining the Extended Helmert Transformation and XGboost Machine Learning Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Hanlin Liu ◽  
Linqiang Yang ◽  
Linchao Li
Keyword(s):  
Machine Learning ◽  
Puerto Rico ◽  
Reference Frame ◽  
Learning Algorithm ◽  
Virgin Islands ◽  
Machine Learning Algorithm ◽  
Climate Factors ◽  
Helmert Transformation ◽  
The Impact

A variety of climate factors influence the precision of the long-term Global Navigation Satellite System (GNSS) monitoring data. To precisely analyze the effect of different climate factors on long-term GNSS monitoring records, this study combines the extended seven-parameter Helmert transformation and a machine learning algorithm named Extreme Gradient boosting (XGboost) to establish a hybrid model. We established a local-scale reference frame called stable Puerto Rico and Virgin Islands reference frame of 2019 (PRVI19) using ten continuously operating long-term GNSS sites located in the rigid portion of the Puerto Rico and Virgin Islands (PRVI) microplate. The stability of PRVI19 is approximately 0.4 mm/year and 0.5 mm/year in the horizontal and vertical directions, respectively. The stable reference frame PRVI19 can avoid the risk of bias due to long-term plate motions when studying localized ground deformation. Furthermore, we applied the XGBoost algorithm to the postprocessed long-term GNSS records and daily climate data to train the model. We quantitatively evaluated the importance of various daily climate factors on the GNSS time series. The results show that wind is the most influential factor with a unit-less index of 0.013. Notably, we used the model with climate and GNSS records to predict the GNSS-derived displacements. The results show that the predicted displacements have a slightly lower root mean square error compared to the fitted results using spline method (prediction: 0.22 versus fitted: 0.31). It indicates that the proposed model considering the climate records has the appropriate predict results for long-term GNSS monitoring.

The effect of serum potassium level on in-hospital and long-term mortality in ST elevation myocardial infarction

2016 ◽  
Vol 221 ◽  
pp. 505-510 ◽  
Author(s):  
Muhammed Keskin ◽  
Adnan Kaya ◽  
Mustafa Adem Tatlısu ◽  
Mert İlker Hayıroğlu ◽  
Osman Uzman ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Serum Potassium ◽  
Potassium Level ◽  
Serum Potassium Level ◽  
St Elevation Myocardial Infarction ◽  
St Elevation ◽  
Long Term Mortality

Abstract 13193: Impact of “Off-Peak” Versus “Peak” Hour Coronary Interventions for ST-Elevation Myocardial Infarction on Adverse Outcomes

Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
Jae S Lee ◽  
Gabriel Redel-Traub ◽  
Michael Kim ◽  
Perwaiz Meraj ◽  
Christina Brennan ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Propensity Score ◽  
Adverse Outcomes ◽  
St Elevation Myocardial Infarction ◽  
Coronary Interventions ◽  
St Elevation ◽  
Peak Versus ◽  
Versus Peak ◽  
Long Term Mortality

Background: In addition to patient-dependent factors, whether the time of arrival of the patient to the hospital with ST-elevation myocardial infarction (STEMI) might play a role in subsequent adverse outcomes following primary percutaneous coronary interventions (PCI) is not well studied. Method: 856 PCI procedures for patients presenting with STEMI from two large hospitals in the health system were analyzed. Peak hours were defined as procedures performed between 7 AM and 7 PM on weekdays. Off-peak hours were defined as procedures performed between 7 PM and 7 PM on weekdays and weekends. Unadjusted and propensity score-adjusted analyses were performed to analyze the following inpatient outcomes: composite of death/MI/stroke, composite of bleeding events, composite of death/MI/stroke/bleeding endpoints, and long-term mortality. Results: Of 856 PCIs, 407 (47.5%) were performed during the peak hours. In both unadjusted and propensity score-adjusted analyses, no significant differences in adverse outcomes and long-term mortality were observed in patients who had PCIs during off-peak and peak hours (see Table). In addition, a separate analysis performed on patients who underwent primary PCIs between 7 AM-7 PM (“Morning”) versus 7 PM-7 AM (“Evening”) on all days showed no difference in the inpatient adverse outcomes and long-term mortality (Adjusted long term mortality: HR 0.79 (95% CI 0.40-1.56), p=0.49). Conclusion: Primary PCIs performed on patients presenting with STEMI during off-peak versus peak hours results in similar inpatient adverse outcomes and long-term mortality.

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