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Gentle CK, Moussally M, Chang JH, Hong H, Walker K, Nimylowycz K, Said SAD, Al-Hilli Z. Beyond CDC-Defined Surgical Site Infection: Factors Associated with Antibiotic Prescription After Breast Operation. Surg Infect (Larchmt) 2024. [PMID: 39504129 DOI: 10.1089/sur.2024.145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2024] Open
Abstract
Background: Most studies on surgical site infections (SSIs) use the US Centers for Disease Control and Prevention (CDC) guidelines, which excludes inflammation or cellulitis without fever. The aim of this study was to evaluate antibiotic prescription trends in the post-operative period among patients undergoing breast operation. We explore the outcomes of patients receiving antibiotic agents outside of the CDC-defined SSI. Patients and Methods: A retrospective review of patients undergoing breast operation from January 2021 to May 2021 was conducted. Solely reconstructive and cosmetic cases were excluded. The primary outcome was the prevalence of antibiotic prescription in the absence of CDC-defined SSI, excluding routine prophylactic antibiotic agents, with analysis of associated factors. Results: A total of 754 breast surgical procedures were included. Seventy-seven patients (10.2%) were prescribed outpatient antibiotic agents. CDC-defined SSI occurred in 5.3% (n = 40), mostly involving tissue expander/implant-based reconstruction (47.5%, n = 19). However, 37 (4.9%) did not progress to meet the CDC criteria for SSI. Patients prescribed outpatient antibiotic agents without CDC-defined SSI did not have increased rates of diabetes mellitus, obesity, or current smoking. These patients were more likely to have a surgical drain (48.6% vs. 28.4%, p = 0.02), plastic surgery involvement (32.4% vs. 18.0%, p = 0.048), and a post-operative seroma (32.4% vs. 8.1%, p < 0.001) and or or cellulitis (18.9% vs. 0%, p < 0.001). Conclusion: Patients are prescribed antibiotic agents after breast operation based on clinical judgment for indications other than CDC-defined SSI. Post-operative wound morbidity including seroma and cellulitis could be contributing to these antibiotic prescriptions. Further study is needed to determine whether providers are preemptively treating SSIs appropriately or over-treating non-infectious wound complications.
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Affiliation(s)
- Corey K Gentle
- Division of Breast Surgery, Department of General Surgery, Digestive Disease and Surgery Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Moustafa Moussally
- Division of Breast Surgery, Department of General Surgery, Digestive Disease and Surgery Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Jenny H Chang
- Division of Breast Surgery, Department of General Surgery, Digestive Disease and Surgery Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Hanna Hong
- School of Medicine, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
| | - Kelly Walker
- Quality Improvement & Patient Safety, Digestive Disease and Surgery Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Kelly Nimylowycz
- Quality Improvement & Patient Safety, Digestive Disease and Surgery Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Sayf Al-Deen Said
- Quality Improvement & Patient Safety, Digestive Disease and Surgery Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Zahraa Al-Hilli
- Division of Breast Surgery, Department of General Surgery, Digestive Disease and Surgery Institute, Cleveland Clinic, Cleveland, Ohio, USA
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Wang S, Li J, Dai J, Zhang X, Tang W, Li J, Liu Y, Wu X, Fan X. Establishment and Validation of Models for the Risk of Multi-Drug Resistant Bacteria Infection and Prognosis in Elderly Patients with Pulmonary Infection: A Multicenter Retrospective Study. Infect Drug Resist 2023; 16:6549-6566. [PMID: 37817839 PMCID: PMC10561615 DOI: 10.2147/idr.s422564] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Accepted: 09/07/2023] [Indexed: 10/12/2023] Open
Abstract
Purpose The aim of this study was to establish risk prediction and prognosis models for multidrug-resistant bacterial infections (MDRB) in elderly patients with pulmonary infections in a multicenter setting. Patients and Methods This study is a retrospective cohort analysis in Anhui province of China. Data dimension reduction and feature selection were performed using the lasso regression model. Multifactorial regression analysis to identify risk factors associated with MDRB infection and prognosis. The relevant risks of each patient in the prognostic training cohort were scored based on prognostic independent risk factors. Subsequently, patients were classified into high-risk and low-risk groups, and survival differences were compared between them. Finally, models were established based on independent risk factors for infection, risk groups, and independent prognostic factors, and were presented on nomograms. The predictive accuracy of the model was assessed using corresponding external validation set data. Results The study cohort comprised 994 elderly patients with pulmonary infection. Multivariate analysis revealed that endotracheal intubation, previous antibiotic use beyond 2 weeks, and concurrent respiratory failure or cerebrovascular disease were independent risk factors associated with the incidence of MDRB infection. Cox regression analysis identified respiratory failure, malnutrition, an APACHE II score of at least 20, and higher blood creatinine levels as independent prognostic risk factors. The models were validated using an external validation dataset from multiple centers, which demonstrated good diagnostic ability and a good fit with a fair benefit. Conclusion In conclusion, our study provides an appropriate and generalisable assessment of risk factors affecting infection and prognosis in patients with MDRB, contributing to improved early identification of patients at higher risk of infection and death, and appropriately guiding clinical management.
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Affiliation(s)
- Shu Wang
- The Department of Geriatric Respiratory and Critical Care Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, People’s Republic of China
- Department of Geriatrics, The Third Affiliated Hospital of Anhui Medical University (The First People’s Hospital of Hefei), Hefei, Anhui Province, People’s Republic of China
| | - Jing Li
- Department of Geriatrics, Hefei Binhu Hospital, Hefei, Anhui Province, People’s Republic of China
- Fujian Medical University, Fuzhou, Fujian, People's Republic of China
| | - Jinghong Dai
- Department of Geriatrics, Hefei Binhu Hospital, Hefei, Anhui Province, People’s Republic of China
| | - Xuemin Zhang
- The Department of Respiratory and Critical Care Medicine, Fuyang Hospital Affiliated to Anhui Medical University, Fuyang, Anhui Province, People’s Republic of China
| | - Wenjuan Tang
- The Department of Respiratory and Critical care medicine, Anqing Municipal Hospital, Anqing, Anhui Province, People’s Republic of China
| | - Jing Li
- Department of Geriatrics, The First Affiliated Hospital of the University of Science and Technology of China, Hefei, Anhui Province, People’s Republic of China
| | - Yu Liu
- Department of Geriatrics, Hefei Binhu Hospital, Hefei, Anhui Province, People’s Republic of China
| | - Xufeng Wu
- Department of Intensive Care Unit, Hefei Binhu Hospital, Hefei, Anhui Province, People’s Republic of China
| | - Xiaoyun Fan
- The Department of Geriatric Respiratory and Critical Care Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, People’s Republic of China
- Key Laboratory of Geriatric Molecular Medicine of Anhui Province, Hefei, Anhui, 230022, People’s Republic of China
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Postoperative infection rate and clinical outcome after oncosurgery for endometrial carcinoma in a patient population with high prevalence of multidrug-resistant organism colonization and multiple comorbidities. Infect Control Hosp Epidemiol 2018; 39:1140-1141. [PMID: 30070196 DOI: 10.1017/ice.2018.172] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
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