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Tsuchida T, Mizugaki A, Tanaka S, Semba A, Nakajima T, Wada T. EFFECT OF GENDER ON 28-DAY SURVIVAL RATES AND TRANSFUSION VOLUME IN SEVERE TRAUMA PATIENTS: A MULTICENTER OBSERVATIONAL STUDY. Shock 2024; 62:20-25. [PMID: 38713554 DOI: 10.1097/shk.0000000000002357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/09/2024]
Abstract
ABSTRACT Background: This study clarified the relationship between sex with survival and transfusion volume in severe trauma cases. Methods: A multicenter, collaborative post hoc analysis of patients with trauma in Japan was conducted. Patients aged ≥18 years with severe trauma indicated by an Injury Severity Score (ISS) of 16 or higher were enrolled. Patients were matched and analyzed by gender based on propensity score with factors determined at the time of injury. Subgroup analysis was performed on patients younger than 50 years and older than 50 years. The significance level was defined as P < 0.05. Results: The 1,189 patients included in this registry were divided into adjusted groups of 226 male and female patients each. In the main analysis, 28-day survival rates in females were significantly higher than those in males ( P = 0.046). In the subgroup analyses, there was no statistically significant prognostic effect of gender. Secondary outcomes, including transfusion volume, showed no significant gender-based variations. Logistic regression analyses consistently demonstrated that female sex was a significant favorable prognostic factor in all ages. This was true for the over-50 group on subgroup analysis, but no significant gender-prognosis relationship was identified in the under-50 age group. High ISSs were associated with poorer outcomes across all age groups. Conclusion: In severe trauma, survival at 28 days was significantly lower in males. However, this trend was not observed in patients aged <50 years. Factors other than sex hormones may be responsible for differences in posttraumatic outcomes by gender.
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Affiliation(s)
- Takumi Tsuchida
- Division of Acute and Critical Care Medicine, Department of Anesthesiology and Critical Care Medicine, Faculty of Medicine, Hokkaido University, Sapporo, Japan
| | - Asumi Mizugaki
- Division of Acute and Critical Care Medicine, Department of Anesthesiology and Critical Care Medicine, Faculty of Medicine, Hokkaido University, Sapporo, Japan
| | - Shohei Tanaka
- Department of Emergency Medicine, Sunagawa City Medical Center, Sunagawa, Japan
| | - Akiko Semba
- Department of Emergency and Critical Care Medicine, Sapporo City General Hospital, Sapporo, Japan
| | - Takuma Nakajima
- Department of Emergency and Critical Care Medicine, Sapporo City General Hospital, Sapporo, Japan
| | - Takeshi Wada
- Division of Acute and Critical Care Medicine, Department of Anesthesiology and Critical Care Medicine, Faculty of Medicine, Hokkaido University, Sapporo, Japan
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Morris R, Todd M, Aponte NZ, Salcedo M, Bruckner M, Garcia AS, Webb R, Bu K, Han W, Cheng F. The association between warfarin usage and international normalized ratio increase: systematic analysis of FDA Adverse Event Reporting System (FAERS). THE JOURNAL OF CARDIOVASCULAR AGING 2023; 3:39. [PMID: 38235056 PMCID: PMC10793998 DOI: 10.20517/jca.2023.33] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/19/2024]
Abstract
Introduction Elevated international normalized ratio (INR) has been commonly reported as an adverse drug event (ADE) for patients taking warfarin for anticoagulant therapy. Aim The purpose of this study was to determine the association between increased INR and the usage of warfarin by using the pharmacovigilance data from the FDA Adverse Event Reporting System (FAERS). Methods The ADEs in patients who took warfarin (N = 77,010) were analyzed using FAERS data. Association rule mining was applied to identify warfarin-related ADEs that were most associated with elevated INR (n = 15,091) as well as possible drug-drug interactions (DDIs) associated with increased INR. Lift values were used to identify ADEs that were most commonly reported alongside elevated INR based on the correlation between both item sets. In addition, this study sought to determine if the increased INR risk was influenced by sex, age, temporal distribution, and geographic distribution and were reported as reporting odds ratios (RORs). Results The top 5 ADEs most associated with increased INR in patients taking warfarin were decreased hemoglobin (lift = 2.31), drug interactions (lift = 1.88), hematuria (lift = 1.58), asthenia (lift = 1.44), and fall (lift = 1.32). INR risk increased as age increased, with individuals older than 80 having a 63% greater likelihood of elevated INR compared to those younger than 50. Males were 9% more likely to report increased INR as an ADE compared to females. Individuals taking warfarin concomitantly with at least one other drug were 43% more likely to report increased INR. The top 5 most frequently identified DDIs in patients taking warfarin and presenting with elevated INR were acetaminophen (lift = 1.81), ramipril (lift = 1.71), furosemide (lift = 1.64), bisoprolol (lift = 1.58), and simvastatin (lift = 1.58). Conclusion The risk of elevated INR increased as patient age increased, particularly among those older than 80. Elevated INR frequently co-presented with decreased hemoglobin, drug interactions, hematuria, asthenia, and fall in patients taking warfarin. This effect may be less pronounced in women due to the procoagulatory effects of estrogen signaling. Multiple possible DDIs were identified, including acetaminophen, ramipril, and furosemide.
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Affiliation(s)
- Robert Morris
- Department of Pharmaceutical Sciences, Taneja College of Pharmacy, University of South Florida, Tampa, FL 33612, USA
- Department of Biostatistics and Epidemiology, College of Public Health, University of South Florida, Tampa, FL 33612, USA
| | - Megan Todd
- Department of Pharmaceutical Sciences, Taneja College of Pharmacy, University of South Florida, Tampa, FL 33612, USA
| | - Nicole Zapata Aponte
- Department of Pharmaceutical Sciences, Taneja College of Pharmacy, University of South Florida, Tampa, FL 33612, USA
| | - Milagros Salcedo
- Department of Pharmaceutical Sciences, Taneja College of Pharmacy, University of South Florida, Tampa, FL 33612, USA
| | - Matthew Bruckner
- Department of Pharmaceutical Sciences, Taneja College of Pharmacy, University of South Florida, Tampa, FL 33612, USA
| | - Alfredo Suarez Garcia
- Department of Pharmaceutical Sciences, Taneja College of Pharmacy, University of South Florida, Tampa, FL 33612, USA
| | - Rachel Webb
- Department of Pharmaceutical Sciences, Taneja College of Pharmacy, University of South Florida, Tampa, FL 33612, USA
| | - Kun Bu
- Department of Mathematics & Statistics, College of Art and Science, University of South Florida, Tampa, FL 33620, USA
| | - Weiru Han
- Department of Mathematics & Statistics, College of Art and Science, University of South Florida, Tampa, FL 33620, USA
| | - Feng Cheng
- Department of Pharmaceutical Sciences, Taneja College of Pharmacy, University of South Florida, Tampa, FL 33612, USA
- Department of Biostatistics and Epidemiology, College of Public Health, University of South Florida, Tampa, FL 33612, USA
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