Background: Percutaneous pericardiocentesis represents a salvage procedure in case of cardiac tamponade and diagnostic procedure in chronic pericardial effusion of unknown source. The study aimed to analyze the clinical characteristics of patients subject to pericardiocentesis and the predictors of in-hospital mortality.
Methods: The study represents a registry that covered consecutive patients undergoing percutaneous pericardiocentesis from 2011 to 2022 in high-volume tertiary reference center. Electronic health records were queried to obtain demographic and clinical variables. The primary endpoint was in-hospital mortality, while secondary endpoint was the need for recurrent pericardiocentesis.
Results: Out of 132 456 patients hospitalized in the prespecified period, 247 patients were subject to percutaneous pericardiocentesis (53.9% women; median age of 66 years) who underwent 273 procedures. In-hospital death was reported in 14 patients (5.67%), while recurrent pericardiocentesis in 24 patients (9.72%). Iatrogenic cause was the most common etiology (42.5%), followed by neoplastic disease (23.1%) and idiopathic effusion (14.57%). In logistic regression analysis in-hospital mortality was associated with myocardial infarction (MI)-related etiology ( = 0.001) and recurrent/persistent cardiogenic shock ( = 0.001).
Conclusions: Iatrogenic etiology and neoplastic disease seem to be the most common indications for pericardiocentesis, while in-hospital mortality was particularly high in patients with spontaneous tamponade in the course of MI.
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http://dx.doi.org/10.3389/fcvm.2023.1252525 | DOI Listing |
J Transl Med
January 2025
Department of Endocrinology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou University Affiliated Provincial Hospital, No 134 Dongjie Street, Gulou District, Fuzhou, Fujian, 350001, People's Republic of China.
Objectives: To develop a machine learning-based prediction model using clinical data from the first 24 h of ICU admission to enable rapid screening and early intervention for sepsis patients.
Methods: This multicenter retrospective cohort study analyzed electronic medical records of sepsis patients using machine learning methods. We evaluated model performance in predicting sepsis outcomes within the first 24 h of ICU admission across US and Chinese healthcare settings.
BMC Med
January 2025
Neurology Department, Shanghai TCM-Integrated Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200082, People's Republic of China.
Crit Care
January 2025
Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden.
Background: Rapid, adequate treatment is crucial to reduce mortality in sepsis. Risk stratification scores used at emergency departments (ED) are limited in detecting all septic patients with increased mortality risk. We assessed whether the addition of prehospital lactate analysis to clinical risk stratification tools improves detection of patients with increased risk for rapid deterioration and death in sepsis.
View Article and Find Full Text PDFJ Transl Med
January 2025
Cancer Center, The First Hospital of Jilin University, No.1 Xinmin Street, Changchun, China.
Background: Previous studies have suggested oxidative stress may play a key role in the pathogenesis of retinopathy, while evidence from observational studies directly linking oxidative biomarkers to clinically relevant outcomes has been limited. This study aims to investigate the association between oxidative balance score (OBS) and prevalence of retinopathy in a nationally representative sample of U.S.
View Article and Find Full Text PDFEur J Med Res
January 2025
School of Medicine, Nankai University, Tianjin, 300071, China.
Background: This study aimed to explore the association between the stress hyperglycemia ratio (SHR) and short- and long-term outcomes in critically ill patients with sepsis.
Methods: This retrospective observational cohort study was conducted using the Medical Information Mart for Intensive Care-IV (MIMIC-IV v2.2) database.
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