Patients and setting
Anticipating a change in daily practice with MSD implementation in some ICUs, a prospective pre/post observational study was conducted in 5 ICUs in Bretagne, western France. Among them, 4 implemented MSD whereas the last one applied standard care (SC) during all study period and served for statistical adjustment on temporal trend in AI incidence. From 7th September 2020 until 31th December 2021 all adults who required mechanical ventilation for 24 hours or more were eligible at the exception of those with liberty deprivation, pregnant women and patients younger than 18 years old who were excluded from the study. In addition to standard care, 4 ICUs implemented MSD during study period for the prevention of acquired infections in patients with expected intubation duration > 24 hours throughout the duration of intubation. Date of implementation was not set by the study but depends on local parameters. MSD is a variant of selective digestive decontamination, which consists of the administration of topical antibiotics including gentamicin, polymyxin and amphotericin B, four times daily in the oropharynx and the gastric tube, chlorhexidine body-wash once daily and a 5-day nasal mupirocin course. Of note, one ICU (ICU 3 - Quimper) did not perform the two last components that are chlorhexidine body-wash and mupirocine nasal course because for practical reasons. Details about the MSD regimen are reported in supplementary data. Patients in ICU 5 (Lorient) received standard care alone. Eligible patients were divided into two groups: MSD group if they were admitted in an ICU that already implemented a decontamination regimen and SC group if they were admitted in an ICU that have not yet, or will not, implements MSD. The study protocol received approval from the Rennes Hospital ethics committee (comité d’éthique du CHU de Rennes avis 19-52). Patients or closest relative were informed of the anonymous prospective collection of the data and had the possibility not to participate in the study. In case of refusal, the data were not collected accordingly. This manuscript follows the STROBE statement for reporting cohort studies.
Strategies for AI prevention and diagnosis
Strategies for VAP and BSI prevention were let at each ICU discretion but they were no modification of practices during study period at the exception of MSD implementation in concerned ICUs. Standard-care consists of semi recumbent position for all patients unless contra-indicated, 4 time daily cuff pressure monitoring and there were no specific protocol for ulcer prophylaxis.
VAP diagnosis was systematically associated with a pulmonary sample which can be an endotracheal aspiration, a broncho-alveolar lavage or a distally protected sample. During study period, physicians were asked to complete a check list for each VAP suspicion in order to collect crucial data for VAP classification by the dedicated team in each center (supplementary data). AI diagnosis was suspected by treating physician but was final diagnosis was confirmed by a dedicated member of the nosocomial infection committee (CLIN) in each hospital.
Definition
Each center had a CLIN for the prevention and prospective census of AI and applied the recommendations of the French Society for Hospital Hygiene for the prevention and treatment of infection (available at https://sf2h.net/publications/actualisation-precautions-standard-2017). Infection was considered acquired in the ICU when it was diagnosed 48 hours after admission and was not incubating on admission. AI were diagnosed by the treating physician. BSI was defined as a positive blood culture occurring 48 hours or more after admission. Regarding common skin contaminants, 2 positives blood cultures drawn on separate occasions were required (2). The diagnosis of VAP was considered in patients ventilated for 48 hours or more and until 48 hours after extubation and was based on clinical signs (fever, purulent sputum, hypoxia), radiological findings (new infiltrate on chest-X-ray or CT scan), and leukocytosis (16). Microorganisms responsible for infection were considered as MDRO according to the European Society of Clinical Microbiology and Infectious Disease definition (17).
Classification of antibiotic according with their intrinsic risk of selection of antimicrobial resistance is not consensual. Experts considered that in addition to their spectrum, the global impact of antibiotics on the microbiota and their impact on ‘colonization resistance’ have to be considered (18). They provide a 6 ranks consensual scale. For the purpose of the study, we classified beta-lactams of the 3 first ranks as low resistance promoting antibiotics (Penicillin, Amoxicillin-clavulanic acid, 3rd generation cephalosporins, and the 3 last as high resistance promoting antibiotics (Piperacillin + Tazobactam, Cefepim, Ceftazidim and Penems).
Primary and secondary endpoints
The primary endpoint was AI incidence, and secondary endpoints were specific VAP and BSI incidences as well as in ICU mortality and high resistance promoting antibiotics consumption in both groups.
Statistical analysis
Statistical analysis was performed with the statistical software R 4.1.1. Categorical variables were expressed as percentages and continuous variables as median and interquartile range (IQR). The chi-square test and Fisher exact test were used to compare categorical variables and the Man-Whitney U test or the Wilcoxon for continuous variables. Antibiotic consumptions were expressed as the number of defined daily doses (DDD) for 1000 patients-days as defined by the world health organization (https://www.who.int/tools/atc-ddd-toolkit/about-ddd) and were compared using chi-square test. In order to draw unbiased marginal estimates of exposure effect, a propensity-score matched analysis was performed. Propensity score was calculated using a non parsimonious model (including all available baseline characteristics including center of admission but at the exception of period of admission) and correspond for each patient to his probability to be admitted in an ICU where MSD has already been implemented. Using the “MatchIt” package, a k-nearest neighbor algorithm was used for propensity-score matching with a 1:1 ratio. The balance between matched groups was evaluated by the analysis of the standardized mean differences after weighting. A post-matching difference < 0.1 was considered as an optimal bias reduction.
Risk factors for acquired infections and hospital death were estimated using logistic regression and Kaplan-Meier survival curves with log-rank test were used for survival analysis. Incidence rate were compared using a Poisson regression model. Multivariable analysis were performed in complete cases. All tests were two-sided, and p<0.05 was considered statistically significant.