Preoperative intervention for smoking cessation: A systematic review.

BACKGROUND: Smoking is associated with increased postoperative complications. Pre-surgical smoking cessation remains a challenge. Our aim was to summarize pre-hospital smoking cessation interventions and impact on smoking cessation rates. METHODS: Independent review of English language articles identified from systematic searches of MEDLINE, PubMed, PsycInfo, Embase, Web of Science, and Cumulative Index to Nursing & Allied Health Literature databases from 1998 to 2019 was performed (PROSPERO registration number CRD42021247927). Studies of adult patients enrolled in a pre-hospital smoking cessation intervention were included. Studies with historical controls or only self-reported outcomes were excluded. RESULTS: Nine articles including 1762 patients were identified. Exhaled CO was used to confirm cessation. Six studies reported smoking status day of surgery. Interventions included NRT, hand-held technology, e-cigarettes, decision aids/counseling and medications. Four studies demonstrated a difference in smoking cessation rates. Ethics and study appraisal were assessed using ROB2. CONCLUSIONS: Based on the variability of interventions, settings, and outcomes, best practice for successful pre-hospital smoking cessation in surgery clinics would benefit from ongoing investigation.

What Mesh Should be Used in Hernia Repair?

Ventral hernia repair is one of the most frequently performed general surgery operations in the world, yet the treatment of clean-contaminated and contaminated cases remains controversial. Biologic mesh has been thought to resist infection, decrease chronic wound complications, and reduce the need for reoperation. Their use continues to be predominant in contaminated and dirty cases. This article is a comprehensive review of what mesh to choose in both clean and contaminated single-staged, open ventral hernia repair with further considerations of tissue incorporation characteristics, cost, safety profiles, complications, recurrence, and long-term outcomes.

External validation of the Japanese difficulty score for laparoscopic hepatectomy in patients undergoing robotic-assisted hepatectomy.

INTRODUCTION: The Japanese difficulty score (JDS) categorizes laparoscopic hepatectomy into low, intermediate, and high complexity procedures, and correlates with operative and postoperative outcomes. We sought to perform a validation study to determine if the JDS correlates with operative and postoperative indicators of surgical complexity for patients undergoing robotic-assisted hepatectomy. METHODS: Retrospective review of 657 minimally invasive hepatectomy procedures was performed between January 2008 through March 2019. Outcomes included operative time, estimated blood loss (EBL), blood transfusion, complications, post-hepatectomy liver failure (PHLF), length of stay, 30-day readmission, and 30-day and 90-day mortality. Patients were grouped based on JDS defined as: low (< 4), intermediate (4-6), and high (7 +) complexity procedures. Statistical comparisons were analyzed by ANOVA or χ2 test. RESULTS: 241 of 657 patients underwent robotic-assisted resection. Of these patients, 137 were included in the analysis based on JDS: 25 low, 58 intermediate, and 54 high. High JDS was associated with more major resections (≥ 4 contiguous segments) versus minor resections (median JDS 8 vs. 5, P < 0.0001). High JDS was associated with significantly longer operative times, higher EBL, and more blood transfusions. High JDS was associated with higher rates of PHLF at 16.7%, compared with 5.2% intermediate and 0.0% low, (P = 0.018). Complication rates, 30-day readmissions, and mortality rates were similar between groups. Median LOS was longer in patients with high JDS compared with intermediate and low (4 days vs. 3 days vs. 2 days; P = 0.0005). DISCUSSION: Higher JDS was associated with multiple indicators of operative complexity, including greater extent of resection, increased operative time, EBL, blood transfusion, PHLF, and LOS. This validation study supports the ability of the JDS to categorize patients undergoing robotic-assisted hepatectomy by complexity.