Article ; Online: Implementing a Personalized Antimicrobial Stewardship Program for Women with Gynecological Cancers and Healthcare-Associated Infections
Journal of Personalized Medicine, Vol 12, Iss 4, p
2022 Volume 650
Abstract: Healthcare-associated infections (HCAIs) represent a major cause of morbidity and mortality in gynecologic cancer patients, requiring personalized cures. A retrospective study on gynecologic patients with HCAIs, managed through an antimicrobial ... ...
Abstract | Healthcare-associated infections (HCAIs) represent a major cause of morbidity and mortality in gynecologic cancer patients, requiring personalized cures. A retrospective study on gynecologic patients with HCAIs, managed through an antimicrobial stewardship program, was performed, focusing on rates of clinical cure, breakthrough/relapse of infections, death, and time of hospital stay (THS). In total, 27 patients (median 60 years, mainly suffering from ovarian, cervical, and uterine cancer) were evaluated by a specialist in infectious diseases and were mainly diagnosed with complicated urinary tract (cUTIs, 12 cases, 44.4%) and bloodstream infections (BSIs, 9 cases, 33.3%). A total of 15 cases (11 cUTIs, 73.3%) were managed with no need for hospitalization and received a median of 11 days of outpatient parenteral antimicrobial therapy (OPAT). In the remaining 12 cases (BSIs in 8 cases, 66.7%), the median THS was 11 days, with 15 days median overall duration of antimicrobial therapy (median 5-day reduction in THS). The management of patients also included source control and wound care. All patients reached clinical cure, with no case of breakthrough infection, one case of relapse, and one death within 30 days (not attributable to the infection). HCAIs in patients with gynecologic tumors can be managed through a patient-centered, multidisciplinary antimicrobial stewardship program. |
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Keywords | gynecologic oncology ; personalized medicine ; healthcare-associated infections ; antimicrobial stewardship ; OPAT ; Medicine ; R |
Subject code | 610 |
Language | English |
Publishing date | 2022-04-01T00:00:00Z |
Publisher | MDPI AG |
Document type | Article ; Online |
Database | BASE - Bielefeld Academic Search Engine (life sciences selection) |
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