Results 21 to 30 of about 8,911,089 (208)

Baseline characteristics according to major adverse cardiovascular events.

open access: yes, 2021
Baseline characteristics according to major adverse cardiovascular events.
Joo-Hee Zo (721373)   +6 more
core   +1 more source

Associations between glucocorticoid use and major adverse cardiovascular events in patients with prostate cancer receiving antiandrogen: a retrospective cohort study [PDF]

open access: yes
Prednisolone/prednisone coadministration with abiraterone may explain abiraterone-related increase in cardiovascular risk. We explored this postulation and glucocorticoid's association with cardiovascular risk.
Tse, Gary   +13 more
core   +3 more sources

Machine Learning Based Risk Prediction for Major Adverse Cardiovascular Events [PDF]

open access: yes, 2021
Background: Patients with major adverse cardiovascular events (MACE) such as myocardial infarction or stroke suffer from frequent hospitalizations and have high mortality rates. By identifying patients at risk at an early stage, MACE can be prevented with the right interventions.
Michael Schrempf   +5 more
openaire   +3 more sources

Coronary stents: factors contributing to perioperative major adverse cardiovascular events [PDF]

open access: yesBritish Journal of Anaesthesia, 2010
Patients with coronary stents undergoing non-cardiac surgery are at increased risk of major adverse cardiovascular events perioperatively. Impeccable patient care and communication between all members of the healthcare team will minimize this risk. The dominant risk factor for stent thrombosis and major adverse cardiovascular events is the interruption
P, Barash, S, Akhtar
openaire   +2 more sources

Comparison of HEAR and HEART Scores for Major Adverse Cardiovascular Events

open access: yesCureus, 2023
Early identification of patients with low and high risk for acute coronary syndrome in the emergency department (ED) is important for process management and proper resource use. The aim of this study was to compare the HEAR and HEART scores to determine the risk for major adverse cardiovascular events (MACE) over 30 days.Demographic data and clinical ...
openaire   +2 more sources

Risk of major adverse cardiovascular and cerebrovascular events in Taiwanese women with endometriosis

open access: yesJournal of the Formosan Medical Association, 2021
Endometriosis (EM) is linked to cardiovascular disease (CVD). However, whether this finding can be applied to the Taiwanese population remained unanswered. To investigate the association between EM and major adverse cardiovascular and cerebrovascular events (MACCE) and the therapeutic effect on the risk of MACCE in Asian women with EM.
Hsin-Ju Chiang   +8 more
openaire   +3 more sources

Cox-proportional hazard ratios for major adverse cardiovascular events in higher ILSBPD group.

open access: yes, 2021
Cox-proportional hazard ratios for major adverse cardiovascular events in higher ILSBPD group.
Joo-Hee Zo (721373)   +6 more
core   +1 more source

Major Adverse Cardiovascular Events and Mortality in Systemic Lupus Erythematosus Patients After Successful Delivery: A Population-based Study

open access: yes, 2017
Background:Limited data exist regarding the incidence rate and hazard ratios (HRs) of major adverse cardiovascular events and mortality in the successful-delivery women with or without systemic lupus erythematosus.Methods:A retrospective, population ...
Wu, Lung-Sheng;Tang, Chao-Hsiun;Lin, Yu-Sheng;Lin, Chia-Pin;Hung, Sheng-Tzu;Hwa, Hsiao-Lin;Luo, Shue-Fen;Chu, Pao-Hsien   +1 more
core   +1 more source

Circulating progenitor cell count for cardiovascular risk stratification: a pooled analysis [PDF]

open access: yes, 2010
Background: Circulating progenitor cells (CPC) contribute to the homeostasis of the vessel wall, and a reduced CPC count predicts cardiovascular morbidity and mortality.
Zeiher Andreas M.   +46 more
core   +2 more sources

Accuracy measures of the machine learning model prediction of major adverse cardiovascular events.

open access: yes, 2023
Accuracy measures of the machine learning model prediction of major adverse cardiovascular events.
Mouaz Al-Mallah (697264)   +4 more
core   +1 more source

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