Preemptive Oral Compared With Intravenous Acetaminophen for Postoperative Pain After Robotic-Assisted Laparoscopic Hysterectomy: A Randomized Controlled Trial.

OBJECTIVE: To compare pain after robotic-assisted laparoscopic hysterectomy when giving preoperative oral compared with intravenous acetaminophen. METHODS: This double-blind randomized trial included women undergoing robotic-assisted laparoscopic hysterectomy for benign indications. Participants received either acetaminophen 1 g orally then normal saline 100 mL intravenously before surgery, or a placebo orally then acetaminophen 1 g intravenously. The primary outcome measured was difference in pain between the groups 2 hours postoperatively. A sample size of 74 participants (37/group) was needed to achieve 80% power to detect noninferiority using a one-sided, two-sample t-test with an alpha of 0.025 and a noninferiority margin of 10 mm. RESULTS: From April 2016 through August 2017, 77 patients were enrolled, with 75 participants included in the final analysis. Characteristics were similar between groups. No difference in average pain score was noted 2 hours after surgery, nor at any of the measured time points. Average scores for the oral and intravenous group, respectively, at 2 hours were 35 and 36 mm (P=.86), at 4 hours 36 and 37 mm (P=.96), and at 24 hours 35 and 36 mm (P=.79). Thirty-eight percent of participants in the oral group and 19% of participants in the intravenous group experienced nausea (P=.12). The oral group used 9.7 morphine equivalents in the recovery room, and the intravenous group used 9.5 morphine equivalents (P=.9). The oral group requested analgesia in 45 minutes on average, and the intravenous group requested analgesia in 43 minutes (P=.79). CONCLUSION: No difference in pain was observed 2 hours postoperatively when comparing preoperative administration of oral compared with intravenous acetaminophen. Given the ease of administration and lower cost of oral dosing, this study supports the oral route as part of the enhanced recovery after surgery protocol for minimally invasive gynecologic surgery. CLINICAL TRIAL REGISTRATION: ClinicalTrials.gov, NCT03391284.

Patient and clinical characteristics that heighten risk for heart failure readmission.

BACKGROUND: Within 30 days of hospital discharge, heart failure (HF) readmission rates nationally accumulate to more than 20%. Due to this high rate of unplanned re-hospitalization, predictive models are needed to identify patients who pose the highest readmission risk. OBJECTIVE: To evaluate the diagnosis and timing and to identify patient and clinical characteristics associated with 30 day readmissions among HF patients. METHODS: A retrospective analysis of electronic health records was conducted to study HF admissions during the period October 2008 to November 2014. Patients with a primary discharge diagnosis consistent with HF were included. Descriptive statistics were used to compare the readmitted and non-readmitted cohorts. Logistic regression was used to develop a predictive model to determine patient and clinical variables associated with 30 day readmission. RESULTS: Characteristics of the study cohort (n = 2420) are: a mean age of 72, predominantly male (55%), white (55%), currently not employed (91%), and utilizing Medicare as a payer (68%). Overall, 42% were married. Over the study time period there were 394 (16.3%) 30 day readmissions after 2420 hospitalizations. The 3 most common reasons for readmission were HF (36.0%), renal disorders (8.4%), and other cardiac diseases (6.9%). Analysis showed that 11.9% of patients readmitted during days 0-3, 15.2% during days 4-7, 31.5% during days 8-15, and 41.4% during days 16-30. The final multivariate predictive model included 5 variables that were associated with an increased risk for 30-day readmission: employment status as retired or disabled, > 1 emergency department visit in the past 90 days, length of stay >5 days during index visit, and a BUN value > 45 mg/dL. CONCLUSION: This study provides a deeper understanding of patient and clinical characteristics that are associated with readmission in HF. Evaluation of these characteristics will provide additional information to guide strategies meant to reduce HF readmission rates.