Abstract
Surgical site infection (SSI) is considered to be a priority in infection control. The objective of this study is the analysis of results of active targeted surveillance conducted over a two-year period in the Department of Thoracic Surgery at the Pulmonology and Thoracic Surgery Center in Bystra, in southern Poland. The retrospective analysis was carried out on the basis of results of active monitoring of SSI in the 45-bed Department of Thoracic Surgery at the Pulmonology and Thoracic Surgery Center in Bystra between April 1, 2014 and April 30, 2016. Surgical site infections were identified based on the definitions of the European Centre for Disease Prevention and Control (ECDC) taking into account the time of symptom onset, specifically, whether the symptoms occurred within 30 d after the surgical procedure. Detection of SSI relied on daily inspection of incisions by a trained nurse, analysis of medical and nursing entries in the computer system, and analysis of all results of microbiologic tests taken in the unit and in the operating room. In the study period, data were collected regarding 1,387 treatment procedures meeting the registration criteria. Forty cases of SSI were detected yielding an incidence rate of 3%. Most cases (55%) were found in the course of hospitalization and 45% were detected after the patient's discharge. The SSIs were classified as follows: superficial, 37.5%; deep infections, 7.5%; and organ/space infection, 55%. Among patients who were diagnosed with SSI, most were male (77.5%). For patients with an American Society of Anesthesiologists (ASA) score I-II the incidence rate was 2%; ASA score III or more, 3.7%. The incidence rate varied from 0.3% in clean surgical site to 6.5% in clean-contaminated site. The study validated the usefulness of targeted surveillance in monitoring SSIs in patients hospitalized in thoracic surgery departments. Surgical site infection surveillance identified areas of care requiring modifications, namely, organization of post-discharge and microbiologic diagnostics of infection cases.
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