Derivation and validation of a simple prognostic risk score to predict short-term mortality in acute cardiogenic pulmonary edema: SABIHA Score.

Objective: In the context of acute cardiogenic pulmonary edema (ACPE), a frequently encountered medical emergency associated with high early mortality rates, there is a need to predict short-term outcomes for risk stratification.Our aim was to derive and validate a model, a simple clinical scoring system using baseline vital signs, clinical and presenting characteristics, and readily available laboratory tests, that allows accurate prediction of short-term mortality in individuals experiencing ACPE.

Methods: This retrospective cohort study included 1088 patients with ACPE from six health centers.

A Machine Learning Model for the Prediction of No-Reflow Phenomenon in Acute Myocardial Infarction Using the CALLY Index.

Background: Acute myocardial infarction (AMI) constitutes a major health problem with high mortality rates worldwide. In patients with ST-segment elevation myocardial infarction (STEMI), no-reflow phenomenon is a condition that adversely affects response to therapy. Previous studies have demonstrated that the CALLY index, calculated using C-reactive protein (CRP), albumin, and lymphocytes, is a reliable indicator of mortality in patients with non-cardiac diseases.

The assessment of the relationship between the development of cardiovascular diseases and SCUBE-1 level in individuals exposed to loud noise.

Development of industry in the modern world, the number of individuals working in noisy environments is increasing with each passing day. Noise causes an increase in the incidence of cardioembolic events, yet the relevant underlying pathophysiology remains unclear. In this study, we aimed to investigate the relationship between signal peptide and complement C1r/C1s, Uegf, and Bmp1-epidermal growth factor domain-containing protein-1 (SCUBE-1) in the pathophysiology of cardioembolic events in individuals exposed to noisy environments.

A Novel Electrocardiographic Marker to Predict the Development of Preeclampsia: Frontal QRS-T Angle-A Prospective Pilot Study.

: Preeclampsia, a pregnancy-induced hypertensive disorder, shares cardiovascular characteristics in etiology, prognosis, and fetomaternal risks. Electrocardiography plays a pivotal role in assessing cardiovascular risks. Beyond conventional predictors, identifying easily obtainable and reproducible electrocardiographic markers may significantly contribute to the early identification of individuals at risk of preeclampsia.