Bluesky · Hashtag

#generalsurgery

65
posts · 30d
6
users
2
posts / day
10.8
posts / user
+ 8% vs last week

#generalsurgery is an active hashtag on Bluesky. In the last 30 days, 6 people shared 65 posts with it — around 2 a day. Activity is up 8% versus the previous week, peaking on Jul 28 with 5 posts.

#generalsurgery posts per day (last 30 days)

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Posts with #generalsurgery

STITCHES - the Best Papers in General Surgery
@stitches.today
over 1 year ago
Prehabilitation enhances recovery in surgical oncology patients. by Soh NH, Yau CRZ (...) Wong JSM et 11 al. in Ann Surg Oncol #Surgery #SurgSky #GeneralSurgery #MedSky 🪡 read our summary here 📖 read the article:
Prehabilitation Outcomes in Surgical Oncology Patients Undergoing Major Abdominal Surgery: A Meta-analysis of Randomized Control Trials - Annals of Surgical Oncology

link.springer.com

Prehabilitation Outcomes in Surgical Oncology Patients Undergoing Major Abdominal Surgery: A Meta-analysis of Randomized Control Trials - Annals of Surgical Oncology

Background Prehabilitation has been increasingly utilized to optimize perioperative outcomes. In this study, we aim to evaluate the impact of uni- and multimodal prehabilitation on functional capacity and postoperative outcomes among surgical oncology patients undergoing major abdominal surgery. Patients and Methods Three electronic databases (PubMed, Embase, Cochrane) were systematically searched up until December 2023. We included randomized controlled trials comparing prehabilitation to standard of care in surgical oncology patients undergoing major abdominal surgery. Our primary outcome was functional capacity as measured by the 6-min walk distance (6MWD). Secondary outcomes include postoperative complications, emergency readmissions, and length of stay (LOS). We stratified our findings to determine the impact of uni- versus multimodal prehabilitation on outcomes. Results We included 27 studies with 2532 surgical oncology patients. Overall, patients undergoing prehabilitation demonstrated a significant improvement in preoperative functional capacity compared to those without prehabilitation (mean difference in 6MWD 28.32 meters [m], 95% CI 15.26, 41.39, p < 0.01). Prehabilitation was also associated with significantly lower odds of postoperative complications (odds ratio [OR] 0.60, 95% CI 0.46, 0.78, p < 0.01). There was no difference in emergency readmission (OR 0.90, 95% CI 0.59, 1.38, p = 0.61) or LOS (mean difference −0.42 days, 95% CI −1.01, 0.16, p = 0.15). Comparing uni- versus multimodal prehabilitation, multimodal prehabilitation was associated with greater improvements in functional capacity (6MWD 37.35 m versus 13.38 m) and lower odds of postoperative complications (OR 0.61, 95% CI 0.45, 0.82, p < 0.01 versus OR 0.63, 95% CI 0.36, 1.11, p = 0.10) Conclusion Prehabilitation improves functional capacity and reduces postoperative complications among surgical oncology patients undergoing major abdominal surgery.

0 6 12
STITCHES - the Best Papers in General Surgery
@stitches.today
over 1 year ago
Consensus recommendations established for enhanced recovery in hernia surgery by Remulla D, Bradley JF (...) Beffa LR et 3 al. in Hernia #Surgery #SurgSky #GeneralSurgery #MedSky 🪡 read our summary here 📖 read the article:
Consensus in ERAS protocols for ventral hernia repair: evidence-based recommendations from the ACHQC QI Committee - Hernia

link.springer.com

Consensus in ERAS protocols for ventral hernia repair: evidence-based recommendations from the ACHQC QI Committee - Hernia

Purpose Enhanced recovery after surgery (ERAS) protocols are widely used in the post-operative care of hernia patients. Despite their prevalence, an absence of published consensus guidelines creates significant heterogeneity in practices. The aim of this study was to evaluate elements in ERAS protocols utilized in ventral hernia repair from institutions across the United States and provide consensus recommendations for each identified element. Methods Institutional members of the Abdominal Core Health Quality Collaborative (ACHQC) Quality Improvement (QI) committee submitted current ERAS protocols. Items within each protocol were classified as “elements”, then assigned a topic. Any topic with ≥ 2 elements from separate institutions were labeled as a “theme,” then grouped by stage in the patient care cycle. A brief review of current evidence was provided in addition to a ACHQC QI committee consensus statement. Results A total of 295 elements from 6 tertiary referral centers specializing in hernia care were compiled into 24 themes and grouped by four separate stages: Pre-Admission Optimization, Pre-Operative Care, Intra-operative Care, and Post-Operative Management. Conclusion This article represents a multi-institutional review of ERAS protocols for ventral hernia repair and identifies common themes that may provide the framework for a unified ERAS protocol in hernia surgery. Future work may serve to develop societal guidelines defined specifically for enhanced recovery in ventral hernia repair.

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Soumya Rangarajan, MD, MPP
@soumya-goblue.bsky.social
10 months ago
I’m at a #basicscience conference on #cardiovascular #aging and was chatting with a #generalsurgery resident in his research years. He looked pretty disappointed when I said #frailty is entirely a clinical diagnosis and we don’t need muscle thickness measurement to get accurate read 😂
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STITCHES - the Best Papers in General Surgery
@stitches.today
8 days ago
New AI Tool Predicts Anastomotic Leakage After Surgery by Martin-Arevalo J, Guimaraes A (...) Pla-Marti V et 9 al. in Surg Endosc #Surgery #SurgSky #GeneralSurgery #MedSky 🪡 read our summary here 📖 read the article:
Early prediction of anastomotic leakage within 24 h after minimally invasive colorectal cancer surgery using postoperative inflammatory markers: development and temporal validation of a machine learning model - Surgical Endoscopy

link.springer.com

Early prediction of anastomotic leakage within 24 h after minimally invasive colorectal cancer surgery using postoperative inflammatory markers: development and temporal validation of a machine learning model - Surgical Endoscopy

Purpose Early identification of anastomotic leakage (AL) is critical for safe discharge within enhanced recovery pathways. This study developed and prospectively validated a machine learning (ML) model to predict AL using 24-h postoperative inflammatory biomarkers. Methods We analyzed 1,961 patients undergoing elective minimally invasive colorectal resection (2012–2025). Five ML architectures were developed using a 70/15/15 split. The Regularized Logistic Regression (RLB) model was selected and locked with a pre-specified threshold (0.1258). Global variable importance and directionality were assessed via SHAP analysis. Prospective temporal validation was performed on 250 consecutive patients (February 2024 – December 2025). Results AL incidence was 9.8% in the development cohort. The RLB model achieved high discrimination (AUCPR 0.859; AUC-ROC 0.819). Postoperative C-reactive protein (CRP) and the Systemic Inflammation Response Index (SIRI) at 24 h were the strongest predictors. During temporal validation, despite a 70% relative reduction in AL incidence (2.8%), the model maintained a robust negative predictive value (NPV) of 97.9% (95% CI 95.1–99.1% and an AUC of 0.73 (95% CI 0.54–0.92). Calibration was near-optimal (slope 0.987, intercept 0.505). Decision curve analysis demonstrated superior net clinical benefit across risk thresholds of 5–20%. Conclusions ML-based integration of early inflammatory biomarkers provides a reliable "safety filter" for postoperative surveillance. The high NPV supports objective decision-making for early discharge, even in changing clinical environments with decreasing complication rates.

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