Detection of pulmonary edema in acute myocardial infarction

Luepker, Russell V.; Caralis, Dennis G.; Voigt, Gustav C.; Burns, Roberta F.; Murphy, Linell W.; Warbasse, J.Richard

doi:10.1016/s0002-9149(77)80183-5

Cited by 22 publications

(6 citation statements)

References 21 publications

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“…The development of hypoxemia in the presence of stable hemodynamics can be ascribed partly to a transitory rise in pulmonary venous pressure due to acute pump failure immediately after AMI, which causes interstitial pulmonary edema [3,4,7,16]. In this study, the significant decrease in the acute cardiac index in the hypoxemic group also indicates that transient interstitial pulmonary edema was likely to be present.…”

Section: Mechanism Of Hypoxemia Without Congestive Heart Failurementioning

confidence: 55%

“…The diagnosis of AMI was made on the basis of finding the typical clinical symptoms, electrocardiographic and echocardiographic changes and an increased serum creatinine kinase (CK) concentration. Of the 196 patients, 62 (48 men and 14 women) who met the following criteria were enrolled in the study: admission within 12 h after infarction [1], Killip group I [10] physical findings regarding the chest on admission [2], a mean pulmonary capillary wedge pressure (PCWP) of less than 18 mm Hg on admission [3], emergency coronary angiography had been performed on admission [4], the absence of clinical manifestations of respiratory disease [5], the absence of congestive heart failure and respiratory disease by chest radiograph [6], and the absence of previous coronary artery bypass grafting [7].…”

Section: Patient Selectionmentioning

confidence: 99%

“…In this study, the significant decrease in the acute cardiac index in the hypoxemic group also indicates that transient interstitial pulmonary edema was likely to be present. Extravascular pulmonary fluid volume is increased [4], lung volume is reduced [7], and pulmonary closing volume is increased [3] once interstitial pulmonary edema develops. Ventilation-perfusion imbalance develops when the rise in closing volume exceeds the functional residual capacity, since the terminal bronchioles collapse at the end of expiration and the start of inspiration which causes the alveoli beyond them to be underventilated.…”

Section: Mechanism Of Hypoxemia Without Congestive Heart Failurementioning

confidence: 99%

“…The reduction in arterial oxygen tension is thought to correlate well with the severity of pulmonary vascular congestion [1,2]. However, hypoxemia occasionally develops in the acute phase of myocardial infarction (MI) despite the absence of overt clinical or hemodynamic manifestations of left ventricular pump failure and pulmonary edema [3][4][5][6]. This hypoxemia has been reported to be a result of mild interstitial pulmonary edema caused by transient left heart failure immediately after infarction [3,7].…”

Section: Introductionmentioning

confidence: 99%

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Clinical Significance of Hypoxemia without Congestive Heart Failure in Patients Presenting with Acute Myocardial Infarction

Aoki

Yanagisawa²,

Taniuchi³

et al. 1997

Cardiology

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This study investigated the clinical significance of hypoxemia without apparent clinical congestive heart failure in patients with acute myocardial infarction (AMI). Sixty-two patients with AMI of the Killip group I and Forrester subset I state were stratified into a hypoxemia group and a normoxemia group. The increase in the neutrophil count and the severity of the coronary artery disease as graded by Gensini’s score were significantly higher in the hypoxemic group. The cardiac index was lower in hypoxemic than normoxemic patients. Myocardial scintigraphy revealed no acute difference in defect scores (DS) or left ventricular ejection fraction (LVEF) between the two groups, but DS was significantly higher (p < 0.01) and LVEF was lower (p < 0.01) in the hypoxemic group 2 years after infarction. Patients with hypoxemia have a more severe angiographic coronary pathology than normoxemic patients, and latent cardiac hypofunction occurs.

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Section: Mechanism Of Hypoxemia Without Congestive Heart Failurementioning

confidence: 55%

Section: Patient Selectionmentioning

confidence: 99%

Section: Mechanism Of Hypoxemia Without Congestive Heart Failurementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Clinical Significance of Hypoxemia without Congestive Heart Failure in Patients Presenting with Acute Myocardial Infarction

Aoki

Yanagisawa²,

Taniuchi³

et al. 1997

Cardiology

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“…Tu et al [ 54 ] identified diabetes, cancer, and renal failure as predictors of AMI. Thus, several of these comorbidities at admission influence the risk of death [ 54 , 55 ].…”

Section: Discussionmentioning

confidence: 99%

Machine learning prediction of mortality in Acute Myocardial Infarction

Oliveira

Seringa

Pinto

et al. 2023

BMC Med Inform Decis Mak

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Background Acute Myocardial Infarction (AMI) is the leading cause of death in Portugal and globally. The present investigation created a model based on machine learning for predictive analysis of mortality in patients with AMI upon admission, using different variables to analyse their impact on predictive models. Methods Three experiments were built for mortality in AMI in a Portuguese hospital between 2013 and 2015 using various machine learning techniques. The three experiments differed in the number and type of variables used. We used a discharged patients’ episodes database, including administrative data, laboratory data, and cardiac and physiologic test results, whose primary diagnosis was AMI. Results Results show that for Experiment 1, Stochastic Gradient Descent was more suitable than the other classification models, with a classification accuracy of 80%, a recall of 77%, and a discriminatory capacity with an AUC of 79%. Adding new variables to the models increased AUC in Experiment 2 to 81% for the Support Vector Machine method. In Experiment 3, we obtained an AUC, in Stochastic Gradient Descent, of 88% and a recall of 80%. These results were obtained when applying feature selection and the SMOTE technique to overcome imbalanced data. Conclusions Our results show that the introduction of new variables, namely laboratory data, impacts the performance of the methods, reinforcing the premise that no single approach is adapted to all situations regarding AMI mortality prediction. Instead, they must be selected, considering the context and the information available. Integrating Artificial Intelligence (AI) and machine learning with clinical decision-making can transform care, making clinical practice more efficient, faster, personalised, and effective. AI emerges as an alternative to traditional models since it has the potential to explore large amounts of information automatically and systematically.

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Röntgenuntersuchung

Harnasch¹,

Reindell²

1984

Koronarerkrankungen

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Detection of pulmonary edema in acute myocardial infarction

Cited by 22 publications

References 21 publications

Clinical Significance of Hypoxemia without Congestive Heart Failure in Patients Presenting with Acute Myocardial Infarction

Clinical Significance of Hypoxemia without Congestive Heart Failure in Patients Presenting with Acute Myocardial Infarction

Machine learning prediction of mortality in Acute Myocardial Infarction

Röntgenuntersuchung

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