Postoperative Pain Clinical Trial
Official title:
Postoperative Pain After Vitreo-retinal Surgery is Influenced by Duration of Surgery and Anaesthesia Conduction: a 1-year Retrospective Study.
Postoperative pain (POP) is frequently underestimated in general and little data are available particularly for POP after vitreoretinal surgery (VRS). The investigators will conduct a 1-year retrospective study on patients undergoing VRS at "Careggi Hospital" . The aim of the study will be to observe the amount of POP, its time course, factors associated with its appearance and finally the efficacy of the pain protocol that is in use.
Post-operative pain (POP) is frequently underestimated, mostly after eye surgery, a type of
surgery in which trauma is limited and pain is not investigated as patients are often
discharged from the hospital within a few hours. Good POP management can improve clinical
outcome and patients' satisfaction and constitutes essential criteria for hospital discharge
after day-case or ambulatory surgery. Little data are available particularly for POP after
vitreoretinal surgery (VRS).
The investigators will conduct a 1-year retrospective study on patients undergoing VRS at
"Careggi Hospital" , a teaching University Hospital in Italy. The aim of the study will be to
observe the amount of POP after VRS, its time course, factors associated with its appearance
and finally the efficacy of the pain protocol that is in use.
Pain will be evaluated according to the "Numerical Rating Scale" (NRS), a 11-point numeric
scale ranging from '0' which represents "no pain" and '10' which represents extreme pain at
several intervals after surgery. Analgesic consumption (in terms of type and amount of
analgesics) and the efficacy of the analgesic protocol in use will also be recorded.
Factors possibly associated with POP (such as duration of surgery, presence of comorbidities,
ASA physical status, age, type of anesthesia (locoregional or general anesthesia)) will be
analyzed.
The associations between the principal outcome (amount of POP) and risk factors will be
evaluated using a simple and multiple logistic regression model.
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