间接和出院后监测在预测手术患者手术部位感染中的感知和作用:一项机构经验。

Padmanabh Inamdar, Dhanashree P Inamdar, Prasan Kumar Hota, Yakkali Avinash, Pravalika Fothedar, Anuradha Basavaraju, Bathina Nikhil Reddy, Naru Sabarinatha Reddy
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引用次数: 0

摘要

背景:手术部位感染(SSI)监测是观察和报告手术后感染的过程。我国对SSI的监测研究较少。目的:本研究旨在了解SSI监控的感知和作用。同时对手术部位感染的发生率、危险因素的识别以及手术伤口的细菌谱进行了研究。方法:纳入2022年7月至2023年6月在我院接受外科手术的患者。对SSI进行了前瞻性发病率监测,以寻找感染的任何迹象并将其记录在监测表中。伤口拭子或吸脓进行微生物培养。结果:研究期间共有2312例患者接受了手术,其中61例患者被诊断为SSI。SSI的发生率为2.6%。SSI多见于女性患者(57.3%)。年龄分布与SSI有显著相关性(P = 0.025)。大多数手术伤口为清洁污染(45.9%)。ssi以浅表为主(91.8%),其次为深部(8.2%)。大多数发生SSI的患者的国家医院感染监测(NNIS)患者风险指数为2(45.9%)。45.9%的病例有细菌生长。其中多药耐药(MDR)占42.6%。结论:本研究有助于确定SSI的预测因素,如手术时间、伤口类型、住院时间和NNIS风险指数。耐多药分离株现在助长了SSI。卫生保健工作者对SSI监测的看法是可以使用和实践的。监测有助于临床医生加强现有的感染预防和控制措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Perception and Role of Indirect and Post-Discharge Surveillance in Predicting Surgical Site Infection in Surgical Patients: An Institutional Experience.

Background: Surgical site infection (SSI) surveillance is a process of observing and reporting of infections following surgery. SSI surveillance studies are few in our country.

Objectives: Present study was conducted to know the perception and role of SSI surveillance. Incidence of surgical site infection, identification of risk factors and bacterial spectrum of surgical wounds during surveillance were also studied.

Methods: Patients who underwent a surgical procedure between July 2022 and June 2023 at our hospital were included. A prospective incidence surveillance for SSI was done to look for any signs of infection and record them in the surveillance form. Wound swabs or pus aspirates were sent for microbiological culture.

Results: A total of 2312 patients underwent surgery during the study period, of whom 61 patients were diagnosed with SSI. The incidence of SSI was 2.6%. SSI was encountered more in female patients (57.3%). Age distribution had a significant association with SSI (P = 0.025). Most operative wounds were clean-contaminated (45.9%). Most SSIs were superficial (91.8%), followed by deep (8.2%). Most patients who developed SSI had a National Nosocomial Infection Surveillance (NNIS) patient risk index of 2 (45.9%). Bacterial growth was observed in 45.9% of cases. Multidrug resistance (MDR) among these isolates was 42.6%.

Conclusion: This study helped to determine predictors of SSI like duration of surgery, type of wound, duration of hospital stays, and NNIS risk index. MDR isolates are now contributing to SSI. The perception of healthcare workers about SSI surveillance was that it was feasible to use and practice. Surveillance helped clinicians to strengthen the existing infection prevention and control practices for the future.

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