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Feasibility and safety of robotic surgery for pancreatic disease has been well demonstrated; however, there is scarce literature on long-term oncologic outcomes. We compared perioperative and oncologic outcomes between robotic left pancreatectomy (RLP) and laparoscopic left pancreatectomy (LLP) for pancreatic adenocarcinoma.

A retrospective review evaluated left pancreatectomies performed for pancreatic adenocarcinoma from 2009 to 2019 in a tertiary institution. Baseline characteristics, operative and oncologic outcomes were compared between RLP and LLP.

There were 75 minimally invasive left pancreatectomy cases for pancreatic adenocarcinoma identified of which 33 cases were done robotically and 42 laparoscopically. Baseline characteristics demonstrated no difference in gender, age, BMI, T stage, N stage, neoadjuvant, or adjuvant chemotherapy. An analysis of operative variables demonstrated no difference in blood loss, increased duration, and higher lymph node yield with RLP (20 vs 12;
= .0029). Postoperatively, both cohorts had 30% pancreatic fistulas and no difference in complications. There were no differences in length of stay (LOS), 30- or 90-day readmission rates, or 90-day mortality. The analysis of oncologic outcomes demonstrated similar R0 resections (RLP 72% vs OLP 67%), recurrence rates (RLP 36% vs OLP 41%), and time to recurrence (RLP 324 vs OLP 218 days). There was increased survival in the RLP cohort that was not significant (32 vs 19 months).

This analysis demonstrates RLP is at least equivalent to LLP in perioperative and oncologic outcomes. The significantly higher lymph node yield and trend toward an improved survival suggests oncologic advantage. Randomized controlled studies are needed to clarify benefit.
This analysis demonstrates RLP is at least equivalent to LLP in perioperative and oncologic outcomes. The significantly higher lymph node yield and trend toward an improved survival suggests oncologic advantage. Randomized controlled studies are needed to clarify benefit.Rationale Recommended initial empiric antimicrobial treatment covers the most common bacterial pathogens; however, community-acquired pneumonia (CAP) may be caused by microorganisms not targeted by this treatment. Developed in 2015, the PES (Pseudomonas aeruginosa, extended-spectrum β-lactamase-producing Enterobacteriaceae, and methicillin-resistant Staphylococcus aureus) score was developed in 2015 to predict the microbiological etiology of CAP caused by PES microorganisms.Objective To validate the usefulness of the PES score for predicting PES microorganisms in two cohorts of patients with CAP from Valencia and Mataró.Methods We analyzed two prospective observational cohorts of patients with CAP from Valencia and Mataró. Patients in the Mataró cohort were all admitted to an intensive care unit (ICU).Results Of the 1,024 patients in the Valencia cohort, 505 (51%) had a microbiological etiology and 31 (6%) had a PES microorganism isolated. The area under the receiver operating characteristic curve was 0.81 (9rent empirical therapy; however, its use as a single strategy for detecting noncore pathogens could lead to high rates of overtreatment. Given its high negative predictive value, the PES score may be used as a first step of a wider strategy that includes subsequent advanced diagnostic tests.
Limited work has been done in predicting discharge disposition in trauma patients; most studies use single institutional data and have limited generalizability. This study develops and validates a model to predict, at admission, trauma patients' discharge disposition using NTDB, transforms the model into an easy-to-use score, and subsequently evaluates its generalizability on institutional data.

NTDB data were used to build and validate a binary logistic regression model using derivation-validation (ie, train-test) approach to predict patient disposition location (home vs non-home) upon admission. The model was then converted into a trauma disposition score (TDS) using an optimization-based approach. The generalizability of TDS was evaluated on institutional data from a single Level I trauma center in the U.S.

A total of 614 625 patients in the NTDB were included in the study; 212 684 (34.6%) went to a non-home location. Patients with a non-home disposition compared to home had significantly higher age s and may improve hospital efficiency.
Previous research demonstrates that twice-daily enoxaparin is inadequate for venous thromboembolic (VTE) prophylaxis in critically ill trauma patients prompting dose adjustment based on anti-Xa levels. Most studies evaluate peak anti-Xa levels; however, data suggest that trough levels are associated with decreased VTE. We evaluated trough anti-Xa levels in noncritically ill trauma patients receiving fixed or weight-based enoxaparin.

Peak and trough anti-Xa levels were prospectively collected from patients receiving at least 3 consecutive doses of enoxaparin (PRE). A performance improvement project prompted a change to weight-based dosing. Peak and trough levels were subsequently prospectively collected from the weight-based group (POST). Adequate peak was defined as ≥0.2 IU/mL and adequate trough as ≥0.1 IU/mL. PRE and POST groups were compared.

200 patients were evaluated (100 PRE, 100 POST). In the PRE group, only 34% of trough and 61% of peak anti-Xa levels were adequate compared with 82% and 97%, respectively, in the POST group (
< .01). Median trough improved from 0.07 IU/mL to 0.2 IU/mL (
< .01). CYT387 purchase Median peak improved from 0.22 IU/mL to 0.47 IU/mL (
< .01). More patients achieved adequate peak and trough levels in the POST group (79% vs 31%,
< .01). 95% of patients with adequate troughs also had adequate peaks, whereas 75% with adequate peaks had adequate troughs.

Traditional enoxaparin dosing in noncritically ill trauma patients results in suboptimal anti-Xa levels. Weight-based enoxaparin improves both trough and peak anti-Xa levels obviating dose adjustment. Furthermore, troughs better predict adequate anti-Xa levels.
Traditional enoxaparin dosing in noncritically ill trauma patients results in suboptimal anti-Xa levels. Weight-based enoxaparin improves both trough and peak anti-Xa levels obviating dose adjustment. Furthermore, troughs better predict adequate anti-Xa levels.
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