Clinical prediction models and risk tools for early detection of patients at risk of surgical site infection and surgical wound dehiscence: a scoping review

被引:6
作者
Sandy-Hodgetts, Kylie [1 ,2 ]
Assadian, Ojan [3 ,4 ]
Wainwright, Thomas W. [5 ,6 ]
Rochon, Melissa [7 ]
Van Der Merwe, Zhavandre [8 ]
Jones, Rhidian Morgan [9 ]
Serena, Thomas [10 ]
Alves, Paulo [11 ]
Smith, George [12 ]
机构
[1] Murdoch Univ, Ctr Mol Med & Innovat Therapeut, Hlth Futures Inst, Skin Integr Res Grp,Program Lead, Perth, WA, Australia
[2] Univ Western Australia, Perth, WA, Australia
[3] Reg Hosp Wiener Neustadt, Neustadt, Austria
[4] Univ Huddersfield, Inst Skin Integr & Infect Prevent, Sch Human & Hlth Sci, Huddersfield, W Yorkshire, England
[5] Bournemouth Univ, Orthopaed Res Inst, Orthopaed, Bournemouth, Dorset, England
[6] Univ Hosp Dorset NHS Fdn Trust, Physiotherapy Dept, Bournemouth, Dorset, England
[7] Guys & St Thomas NHS Fdn Trust, SSI Surveillance Res & Innovat Surveillance & Inn, Directorate Infect, London, England
[8] 4 Wounds Wound Care Practice, Pretoria, South Africa
[9] Schoen Clin Orthopaed & Spinal Hosp, London, England
[10] SerenaGroup, Cambridge, MA USA
[11] Univ Catolica Portuguesa, Wounds Res Lab, Ctr Interdisciplinary Res Hlth, Lisbon, Portugal
[12] Hull York Med Sch, Vasc Surg Unit, York, N Yorkshire, England
关键词
algorithms; early detection; prediction; prevention; surgical site infection; surgical wound complication; surgical wound dehiscence; wound; wound care; wound dressing; wound healing; NOSOCOMIAL INFECTIONS; EUROSCORE II; STRATIFICATION; VALIDATION; GUIDELINES; PERFORMANCE; PREVENTION; OUTCOMES; SURGERY; SYSTEM;
D O I
10.12968/jowc.2023.32.Sup8a.S4
中图分类号
R75 [皮肤病学与性病学];
学科分类号
100206 ;
摘要
Objective: Despite advances in surgical techniques, intraoperative practice and a plethora of advanced wound therapies, surgical wound complications (SWCs), such as surgical site infection (SSI) and surgical wound dehiscence (SWD), continue to pose a considerable burden to the patient and healthcare setting. Predicting those patients at risk of a SWC may give patients and healthcare providers the opportunity to implement a tailored prevention plan or potentially ameliorate known risk factors to improve patient postoperative outcomes. Method: A scoping review of the literature for studies which reported predictive power and internal/external validity of risk tools for clinical use in predicting patients at risk of SWCs after surgery was conducted. An electronic search of three databases and two registries was carried out with date restrictions. The search terms included 'prediction surgical site infection' and 'prediction surgical wound dehiscence'. Results: A total of 73 records were identified from the database search, of which six studies met the inclusion criteria. Of these, the majority of validated risk tools were predominantly within the cardiothoracic domain, and targeted morbidity and mortality outcomes. There were four risk tools specifically targeting SWCs following surgery. Conclusion: The findings of this review have highlighted an absence of well-developed risk tools specifically for SSI and/or SWD in most surgical populations. This review suggests that further research is required for the development and clinical implementation of rigorously validated and fit-for-purpose risk tools for predicting patients at risk of SWCs following surgery. The ability to predict such patients enables the implementation of preventive strategies, such as the use of prophylactic antibiotics, delayed timing of surgery, or advanced wound therapies following a procedure. Declaration of interest: The authors have no conflict of interest to disclose in relation to the content of this article.
引用
收藏
页码:S4 / S12
页数:8
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