FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4376134639> ?p ?o ?g. }

• W4376134639 endingPage "1210" @default.
• W4376134639 startingPage "1201" @default.
• W4376134639 abstract "Abstract Although guidelines recommend fixed cardiac troponin thresholds for the diagnosis of myocardial infarction, troponin concentrations are influenced by age, sex, comorbidities and time from symptom onset. To improve diagnosis, we developed machine learning models that integrate cardiac troponin concentrations at presentation or on serial testing with clinical features and compute the Collaboration for the Diagnosis and Evaluation of Acute Coronary Syndrome (CoDE-ACS) score (0–100) that corresponds to an individual’s probability of myocardial infarction. The models were trained on data from 10,038 patients (48% women), and their performance was externally validated using data from 10,286 patients (35% women) from seven cohorts. CoDE-ACS had excellent discrimination for myocardial infarction (area under curve, 0.953; 95% confidence interval, 0.947–0.958), performed well across subgroups and identified more patients at presentation as low probability of having myocardial infarction than fixed cardiac troponin thresholds (61 versus 27%) with a similar negative predictive value and fewer as high probability of having myocardial infarction (10 versus 16%) with a greater positive predictive value. Patients identified as having a low probability of myocardial infarction had a lower rate of cardiac death than those with intermediate or high probability 30 days (0.1 versus 0.5 and 1.8%) and 1 year (0.3 versus 2.8 and 4.2%; P < 0.001 for both) from patient presentation. CoDE-ACS used as a clinical decision support system has the potential to reduce hospital admissions and have major benefits for patients and health care providers." @default.
• W4376134639 created "2023-05-12" @default.
• W4376134639 creator A5001645931 @default.
• W4376134639 creator A5004036274 @default.
• W4376134639 creator A5004314779 @default.
• W4376134639 creator A5004488025 @default.
• W4376134639 creator A5006265756 @default.
• W4376134639 creator A5008204005 @default.
• W4376134639 creator A5008839684 @default.
• W4376134639 creator A5009440724 @default.
• W4376134639 creator A5010494176 @default.
• W4376134639 creator A5013966106 @default.
• W4376134639 creator A5014127847 @default.
• W4376134639 creator A5014757446 @default.
• W4376134639 creator A5014765475 @default.
• W4376134639 creator A5015181633 @default.
• W4376134639 creator A5015528174 @default.
• W4376134639 creator A5019962152 @default.
• W4376134639 creator A5022225131 @default.
• W4376134639 creator A5025452062 @default.
• W4376134639 creator A5026371154 @default.
• W4376134639 creator A5028488193 @default.
• W4376134639 creator A5028873677 @default.
• W4376134639 creator A5029757960 @default.
• W4376134639 creator A5031579667 @default.
• W4376134639 creator A5032083899 @default.
• W4376134639 creator A5033615174 @default.
• W4376134639 creator A5034115619 @default.
• W4376134639 creator A5034351896 @default.
• W4376134639 creator A5037758898 @default.
• W4376134639 creator A5037819778 @default.
• W4376134639 creator A5038168482 @default.
• W4376134639 creator A5041845028 @default.
• W4376134639 creator A5048131620 @default.
• W4376134639 creator A5049718111 @default.
• W4376134639 creator A5050153469 @default.
• W4376134639 creator A5055232988 @default.
• W4376134639 creator A5055262589 @default.
• W4376134639 creator A5055346035 @default.
• W4376134639 creator A5055939495 @default.
• W4376134639 creator A5056698636 @default.
• W4376134639 creator A5058136306 @default.
• W4376134639 creator A5059160963 @default.
• W4376134639 creator A5059965798 @default.
• W4376134639 creator A5060467941 @default.
• W4376134639 creator A5060481954 @default.
• W4376134639 creator A5061115326 @default.
• W4376134639 creator A5061127067 @default.
• W4376134639 creator A5061268711 @default.
• W4376134639 creator A5062232887 @default.
• W4376134639 creator A5064529167 @default.
• W4376134639 creator A5065988752 @default.
• W4376134639 creator A5067717934 @default.
• W4376134639 creator A5067953324 @default.
• W4376134639 creator A5068500647 @default.
• W4376134639 creator A5070261272 @default.
• W4376134639 creator A5070721982 @default.
• W4376134639 creator A5071319436 @default.
• W4376134639 creator A5072141675 @default.
• W4376134639 creator A5072796155 @default.
• W4376134639 creator A5072868822 @default.
• W4376134639 creator A5074252129 @default.
• W4376134639 creator A5074741202 @default.
• W4376134639 creator A5074765101 @default.
• W4376134639 creator A5078759940 @default.
• W4376134639 creator A5079783163 @default.
• W4376134639 creator A5083031695 @default.
• W4376134639 creator A5089362636 @default.
• W4376134639 creator A5091333545 @default.
• W4376134639 creator A5091827487 @default.
• W4376134639 creator A5091923698 @default.
• W4376134639 date "2023-05-01" @default.
• W4376134639 modified "2023-10-17" @default.
• W4376134639 title "Machine learning for diagnosis of myocardial infarction using cardiac troponin concentrations" @default.
• W4376134639 cites W1496454720 @default.
• W4376134639 cites W1678356000 @default.
• W4376134639 cites W1985390067 @default.
• W4376134639 cites W1988476689 @default.
• W4376134639 cites W1991357520 @default.
• W4376134639 cites W1992798089 @default.
• W4376134639 cites W2008182987 @default.
• W4376134639 cites W2024046085 @default.
• W4376134639 cites W2043838023 @default.
• W4376134639 cites W2065942755 @default.
• W4376134639 cites W2096907419 @default.
• W4376134639 cites W2098002403 @default.
• W4376134639 cites W2099339447 @default.
• W4376134639 cites W2099464005 @default.
• W4376134639 cites W2107955926 @default.
• W4376134639 cites W2109954280 @default.
• W4376134639 cites W2111247882 @default.
• W4376134639 cites W2112739057 @default.
• W4376134639 cites W2113039556 @default.
• W4376134639 cites W2113883406 @default.
• W4376134639 cites W2139243268 @default.
• W4376134639 cites W2155965977 @default.
• W4376134639 cites W2169735148 @default.
• W4376134639 cites W2170406776 @default.

• next