Antistaphylococcal Efficacy of Cefepime, Meropenem, and Piperacillin-Tazobactam in Patients with Polymicrobial Infection with MSSA Bacteremia or Pneumonia.

There is a paucity of literature describing de-escalation techniques in patients with polymicrobial infections with one offending organism being methicillin-susceptible Staphylococcus aureus (MSSA) being treated with ß-lactam therapy. The purpose of this study is to determine treatment outcomes for patients with polymicrobial infections with MSSA bacteremia or pneumonia who are treated with cefepime (FEP), meropenem (MEM), or piperacillin-tazobactam (TZP). This trial design represents a retrospective observational three-group comparison study of patients at a community teaching hospital system. Patients reviewed included those who had a MSSA bacteremia or pneumonia in addition to a confirmed polymicrobial infection or presence of a coinfection and received definitive therapy with FEP, MEM, or TZP. The primary outcome is defined as the resolution of fever of ≥100.4°F, hypothermia (≤95°F), leukocytosis (WBC °>° 12,000 cells/mm3), and leukopenia with WBC °<° 4,000 cells/mm3. Secondary outcomes included duration of definite therapy, in-hospital mortality, hospital and ICU length of stay (LOS), 30-day readmission rates for a presumed infection, and hospital-acquired Clostridioides difficile infection (HCDI). From August 1, 2016, to August 30, 2019, 45 patients met eligibility criteria. There were no observed differences in primary endpoint (p = 0.65) or secondary endpoints, i.e., in-hospital mortality (p = 0.10), hospital LOS (p = 0.75), ICU LOS (p = 0.53), 30-day readmission rates for presumed infection (p = 0.07), or HCDI (p = 0.34). There was no difference in treatment success with FEP, MEM, or TZP for polymicrobial infections with one offending organism being MSSA. Due to the lack of evidence in this unique patient population and observed results of our study, randomized studies are warranted to determine appropriate therapy in this complex patient population.

Impact of a Pharmacist-Led Intensive Care Unit Sleep Improvement Protocol on Sleep Duration and Quality.

BACKGROUND: Sleep improvement protocols are recommended for use in the intensive care unit (ICU) despite questions regarding which interventions to include, whether sleep quality or duration will improve, and the role of pharmacists in their development and implementation. OBJECTIVE: To characterize the impact of a pharmacist-led, ICU sleep improvement protocol on sleep duration and quality as evaluated by a commercially available activity tracker and patient perception. METHODS: Critical care pharmacists from a 40-bed, mixed ICU at a large community hospital led the development and implementation of an interprofessional sleep improvement protocol. It included daily pharmacist medication review to reduce use of medications known to disrupt sleep or increase delirium and guideline-based recommendations on both environmental and nonpharmacological sleep-focused interventions. Sleep duration and quality were compared before (December 2018 to December 2019) and after (January to June 2019) protocol implementation in non-mechanically ventilated adults using both objective (total nocturnal sleep time [TST] measured by an activity tracker (Fitbit Charge 2) and subjective (patient-perceived sleep quality using the Richards-Campbell Sleep Questionnaire [RCSQ]) measures. RESULTS: Groups before (n = 48) and after (n = 29) sleep protocol implementation were well matched. After protocol implementation, patients had a longer TST (389 ± 123 vs 310 ± 147 minutes; P = 0.02) and better RCSQ-perceived sleep quality (63 ± 18 vs 42 ± 24 mm; P = 0.0003) compared with before implementation. CONCLUSION AND RELEVANCE: A sleep protocol that incorporated novel elements led to objective and subjective improvements in ICU sleep duration and quality. Application of this study may result in increased utilization of sleep protocols and pharmacist involvement.

Characterisation of ICU sleep by a commercially available activity tracker and its agreement with patient-perceived sleep quality.

BACKGROUND: A low-cost, quantitative method to evaluate sleep in the intensive care unit (ICU) that is both feasible for routine clinical practice and reliable does not yet exist. We characterised nocturnal ICU sleep using a commercially available activity tracker and evaluated agreement between tracker-derived sleep data and patient-perceived sleep quality. PATIENTS AND METHODS: A prospective cohort study was performed in a 40-bed ICU at a community teaching hospital. An activity tracker (Fitbit Charge 2) was applied for up to 7 ICU days in English-speaking adults with an anticipated ICU stay ≥2 days and without mechanical ventilation, sleep apnoea, delirium, continuous sedation, contact isolation or recent anaesthesia. The Richards-Campbell Sleep Questionnaire (RCSQ) was administered each morning by a trained investigator. RESULTS: Available activity tracker-derived data for each ICU study night (20:00-09:00) (total sleep time (TST), number of awakenings (#AW), and time spent light sleep, deep sleep and rapid eye movement (REM) sleep) were downloaded and analysed. Across the 232 evaluated nights (76 patients), TST and RCSQ data were available for 232 (100%), #AW data for 180 (78%) and sleep stage data for 73 (31%). Agreement between TST (349±168 min) and RCSQ Score was moderate and significant (r=0.34; 95% CI 0.18 to 0.48). Agreement between #AW (median (IQR), 4 (2-9)) and RCSQ Score was negative and non-significant (r=-0.01; 95% CI -0.19 to 0.14). Agreement between time (min) spent in light (259 (182 to 328)), deep (43±29), and REM (47 (28-72)) sleep and RCSQ Score was moderate but non-significant (light (r=0.44, 95% CI -0.05 to 0.36); deep sleep (r=0.44, 95% CI -0.11 to 0.15) and REM sleep (r=0.44; 95% CI -0.21 to 0.21)). CONCLUSIONS: A Fitbit Charge 2 when applied to non-intubated adults in an ICU consistently collects TST data but not #AW or sleep stage data at night. The TST moderately correlates with patient-perceived sleep quality; a correlation between either #AW or sleep stages and sleep quality was not found.