Objective: This study was performed to investigate the association of the admission hemoglobin level with the incidence of in-hospital cardiac arrest (IHCA) in patients with acute coronary syndrome (ACS) complicated by cardiogenic shock (CS).
Methods: In this retrospective study, we reviewed the medical records of consecutive patients with ACS complicated by CS admitted to the coronary care unit from January 2014 to October 2017. Logistic regression models were carried out to evaluate the association between hemoglobin and the incidence of IHCA. Interaction and subgroup analyses were also performed.
Results: In total, 211 patients were included in the study, and 61 (28.9%) patients developed IHCA. In the multivariable analysis, hemoglobin was a strong independent predictor of IHCA (odds ratio, 0.971; 95% confidence interval, 0.954–0.989). In the fully adjusted model, patients in the higher hemoglobin tertile were less likely to develop IHCA than patients in the lowest hemoglobin tertile (odds ratio, 0.194; 95% confidence interval, 0.071–0.530). The relationship remained stable in most subgroups except patients aged ≥70 years.
Conclusion: In patients with ACS complicated by CS, the incidence of IHCA is related to the hemoglobin concentration, and a high hemoglobin concentration is a protective factor against the development of IHCA.
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http://dx.doi.org/10.1177/0300060519857021 | DOI Listing |
Sci Rep
December 2024
State Key Laboratory of Frigid Zone Cardiovascular Disease, Cardiovascular Research Institute, Department of Cardiology, General Hospital of Northern Theater Command, Shenyang, 110016, China.
The triglyceride to high density lipoprotein cholesterol (TG/HDL-C) ratio has been consistently linked with the risk of coronary heart disease (CHD). Nevertheless, there is a paucity of studies focusing on acute coronary syndrome (ACS) patients undergoing percutaneous coronary intervention (PCI) or experiencing bleeding events. The study encompassed 17,643 ACS participants who underwent PCI.
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December 2024
Department of Endocrinology, The First Clinical Medical Center of Chinese PLA General Hospital, Beijing, 100853, China.
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December 2024
Division of Neurotology and Skull Base Surgery, Department of Otolaryngology-Head and Neck Surgery, University of California, Irvine, CA 92697, USA.
This study aimed to develop a machine learning (ML) algorithm that can predict unplanned reoperations and surgical/medical complications after vestibular schwannoma (VS) surgery. All pre- and peri-operative variables available in the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database (n = 110), except those directly related to our outcome variables, were used as input variables. A deep neural network model consisting of seven layers was developed using the Keras open-source library, with a 70:30 breakdown for training and testing.
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December 2024
Department of Digestive Surgery and Digestive Surgical Oncology, Jules Bordet Institute, The Brussels University Hospital (H.U.B), Université Libre de Bruxelles (ULB), Meylemeersch Street 90, 1070 Brussels, Belgium.
Ovarian cancer (OC) is diagnosed at a locally advanced stage in two-thirds of cases. The first line of treatment consists of cytoreductive surgery (CRS) combined with neoadjuvant and/or adjuvant chemotherapy. However, CRS can be associated with high rates of postoperative complications (POCs), and detection of fragile patients at high risk of POCs is important.
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