Objectives: The aim of the present study was to perform a demographic analysis of complications and to determine the factors affecting in-hospital mortality in geriatric patients with warfarin overdose.
Materials And Methods: All patients aged 65 years or older using warfarin with an international normalized ratio (INR) level above 3.5 IU between 01.01.2014 and 01.01.2018 were included in the study. Characteristics of patients with in-hospital mortality and surviving patients were compared. Multivariate regression analysis was used to assess the predictors for in-hospital mortality.
Results: A total of 302 geriatric patients included in the study for statistical analyses. Bleeding rate was 14.2%. A comparison of patient characteristics for in-hospital mortality (survivor vs. nonsurvivor) revealed significant differences for age, gender, chronic renal failure history, creatinine, aspartate aminotransferase (AST), and alanine aminotransferase levels ( < 0.05). A multivariate logistic regression analysis was performed. It was found that elevated AST ( = 0.029, odds ratio [OR]: 1.004, 95% confidence intervals [CIs]; 1.001-1.007) and creatinine ( = 0.045, OR: 2.36, 95% CIs; 1.02-5.48) levels as well as advanced age ( = 0.031, OR: 1.11, 95% CIs; 1.01-1.22) and male gender ( = 0.017, OR: 5.48, 95% CIs; 1.35-22.1) had a negative impact on survival.
Conclusion: Our study results revealed that male gender, advanced age, and hepatic and renal dysfunctions were the predictors of in-hospital mortality in the elderly with warfarin overdose. In order to avoid serious warfarin-related complications in the older age groups, particularly when there is renal or hepatic dysfunction, patients should be informed about minor warning side effects of warfarin, INR levels should be more frequently checked, and patients should have more strict follow-up schedules.
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http://dx.doi.org/10.4103/2452-2473.297463 | DOI Listing |
Sci Rep
December 2024
Department of Anesthesiology, The First Hospital of Putian City, Putian, China.
This study aimed to investigate the relationship between unintentional weight loss and 30-day mortality in sepsis patients in the intensive care unit (ICU). A retrospective cohort study sepsis patients in the ICU was conducted using data from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database, involving 1842 sepsis patients in the ICU. We utilized multivariate Cox regression analysis to evaluate the association between unintentional weight loss and the risk of 30-day mortality.
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December 2024
Department of Surgery, Papageorgiou General Hospital, Thessaloniki, Greece.
Background: We performed a systematic review and network meta-analysis (NMA) of individualized patient data (IPD) to inform the development of evidence-informed clinical practice recommendations.
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Sci Rep
December 2024
Department of Orthopedic, The Affiliated Chuzhou Hospital of Anhui Medical University, Chuzhou, 239000, Anhui, China.
This study aims to investigate the relationship between the triglyceride-glucose index (TyG) and all-cause mortality as well as cardiovascular mortality in arthritis patients. Additionally, it seeks to analyze the nonlinear characteristics and threshold effects of TyG index. We included 5,559 adult participants with arthritis from the 1999-2018 National Health and Nutrition Examination Survey (NHANES).
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December 2024
The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, Nanjing, China, 214000.
Individuals afflicted with heart failure complicated by sepsis often experience a surge in blood glucose levels, a phenomenon known as stress hyperglycemia. However, the correlation between this condition and overall mortality remains unclear. 869 individuals with heart failure complicated by sepsis were identified from the Medical Information Mart for Intensive Care-IV (MIMIC-IV) database and categorized into five cohorts based on their stress hyperglycemia ratio (SHR).
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December 2024
Department of Orthopaedics, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, China.
Osteosarcoma (OS) is the most prevalent secondary sarcoma associated with retinoblastoma (RB). However, the molecular mechanisms driving the interactions between these two diseases remain incompletely understood. This study aims to explore the transcriptomic commonalities and molecular pathways shared by RB and OS, and to identify biomarkers that predict OS prognosis effectively.
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