Scientific Reports · 2024 · 11 citations · 32 references
MedicineCardiologyInternal MedicineClinical CardiologyClinical NutritionInterventional CardiologyAcute Coronary Syndrome InterventionCardiac Risk AssessmentClinical AnalysisCoronary Artery DiseaseIschemic Heart DiseaseHospital Stay DurationLength Of Stay DeterminantsLength Of Stay ModelingLength Of Stay PredictionLinear RegressionPercutaneous Coronary Intervention CareSegmented Regression
Low serum albumin levels increase coronary morbidity, mortality, and postoperative cardiovascular risk. Therefore, this study investigated the relationship between these levels and the length of hospital stay in patients undergoing percutaneous coronary intervention (PCI) for acute coronary syndrome. A total of 350 patients were divided into quartiles according to serum albumin levels. Univariate and multivariate analyses were performed to identify factors associated with the length of hospital stay. A non-linear regression analysis of serum albumin and length of hospital stay was also performed. The results of the multifactorial analysis revealed low serum albumin levels as an independent predictor of longer hospital stay, even in the fully adjusted model. In the segmented linear regression model, serum albumin level showed a U-shaped relationship with the length of hospital stay. In conclusion, low serum albumin level was an independent predictor of longer hospital stay in patients undergoing PCI for acute coronary syndrome, with shorter stays observed for increasing serum albumin levels. Low serum albumin can be used to identify patients who require longer hospitalization and may need additional nutritional support or interventions to improve their prognosis.
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2023 ESC Guidelines for the management of acute coronary syndromes
Robert A. Byrne, Xavier Rosselló, J J Coughlan et al. · European Heart Journal · 2023 · 4.5K citations · Full text
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