Identifying Patient and Surgical Criteria for Same-Day Discharge After Robotic-Assisted Sacrocolpopexy.
Arlen Suarez AresColby P SoudersParker R M KeneeAlana L ChristieMaude E CarmelFrancesca Sesillo BoscoloPublished in: Journal of endourology (2024)
Introduction: To review the postrobotic-assisted sacrocolpopexy (RASC) course of women admitted for 23 hours post-RASC and identify events requiring intensive medical care or potentially leading to deleterious outcome or urgent readmission if that patient had same-day discharge (SDD) instead of observed overnight. Methods: Patients undergoing RASC from January to December 2020 at one institution were identified and relevant data were obtained via retrospective chart review. Patient exclusions: RASC start time after 12:00 PM, concurrent posterior colporrhaphy, rectopexy, or hysterectomy, or conversion to open. Results: Sixty-nine patients (median age 71 years old) met study criteria with majority American Society of Anesthesiologists class 2 ( n = 46, 67%) or 3 ( n = 22, 32%). Patient characteristics included prior abdominal surgeries ( n = 58, 84%), prior hysterectomy/prolapse repair ( n = 25, 37%), known allergy to pain medication ( n = 25, 36%), and administration of a postoperative antiemetic ( n = 37, 54%) or intra-/postoperative keterolac ( n = 36, 52%). Median surgery length was 269 minutes. Postoperative events that may have resulted in urgent readmissions if they had SDD were observed in 6% of patients. In the 1st week post-RASC, there were no readmissions. Conclusions: In this limited quality assurance study, patients undergoing RASC experienced no major complications requiring intensive care. Postoperative events were almost entirely nausea and pain, with no readmissions within the 1st week.
Keyphrases
- patients undergoing
- end stage renal disease
- case report
- ejection fraction
- newly diagnosed
- chronic kidney disease
- minimally invasive
- peritoneal dialysis
- prognostic factors
- chronic pain
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- emergency department
- pregnant women
- metabolic syndrome
- acute coronary syndrome
- polycystic ovary syndrome
- heavy metals
- skeletal muscle
- spinal cord injury
- risk assessment
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- squamous cell carcinoma
- machine learning
- risk factors
- atrial fibrillation
- coronary artery bypass
- insulin resistance
- patient reported
- cross sectional
- deep learning
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- tyrosine kinase
- percutaneous coronary intervention
- chemotherapy induced