Independent Predictors of Postoperative Severe Pain Among Patients Undergoing Gynecological Surgeries

Background: To determine independent predictors for postoperative severe pain in Post Anesthesia Care Unit (PACU) among patients who underwent general anesthesia for lower abdominal gynecological surgery. Methods: A prospective observational study was conducted from January 2013 to July 2014 in the...

Full description

Bibliographic Details
Main Author: Tabish Hussain
Format: Article
Language:English
Published: Rawalpindi Medical University 2015-03-01
Series:Journal of Rawalpindi Medical College
Subjects:
Online Access:https://www.journalrmc.com/index.php/JRMC/article/view/303
id doaj-1e28803c3bc14cd7a68f20dc90714f15
record_format Article
spelling doaj-1e28803c3bc14cd7a68f20dc90714f152020-11-25T03:08:12ZengRawalpindi Medical UniversityJournal of Rawalpindi Medical College1683-35621683-35702015-03-01191Independent Predictors of Postoperative Severe Pain Among Patients Undergoing Gynecological SurgeriesTabish Hussain0Department of Anesthesia and Intensive Care, Holy Family Hospital, Rawalpindi Medical College,Rawalpindi; Background: To determine independent predictors for postoperative severe pain in Post Anesthesia Care Unit (PACU) among patients who underwent general anesthesia for lower abdominal gynecological surgery. Methods: A prospective observational study was conducted from January 2013 to July 2014 in the 2500 beds Tongji Hospital, Tongji Medical College, Hua Zhong University of Science and Technology Wuhan China. The NRS (Numerical Rating Scale) ranging from 0 “no pain at all’ to 10(unbearable pain) was used on arrival postoperatively in PACU. NRS score NRS ≥7 was common break point for defining severe pain. We assessed also the preoperative information, medical treatment, intra-operative events and their role on postoperative severe pain (POSP). Patients were grouped labeled as either with postoperative severe pain POSP, and the non-POSP category. Results: Out of 1020, 18% experienced NRS≥7 showing severe unbearable pain. Using a univariate analysis, age, invasive surgeries, the duration of the surgical procedure, anesthesia maintenance, intra-operative fluid load and loss, blood loss, postoperative nausea and vomiting (PONV) prophylaxis, patients-controlled analgesia (PCA),malignancy and intra-operative analgesia were significant predictors for the POSP. Multivariate conditional regression modelling was also used to determine independent predictors for postoperative severe pain. Using multi-variate analysis, malignancy, operative time period, invasive nature of procedure and use of analgesic drugs found to be significantly independent predictor for POSP. Patients with cancer experienced more severe pain with OR (odds ratio) of 1.66, Invasive surgery OR=1.671, operation duration more than 2 hours with OR=1.774 and nonsteroidal anti-inflammatory drugs (NSAIDs) use before emergence was OR=3.648.Other factors were not considered because of their non significance. Conclusion: Patients with malignancies, undergoing invasive surgery, operative duration greater than 2 hours and NSAID use before emergence were significantly independent predictors for POSP. It was affecting on PACU discharge, hospital length of stay and additional health expenses. https://www.journalrmc.com/index.php/JRMC/article/view/303Postoperative painGynaecological Surgeries
collection DOAJ
language English
format Article
sources DOAJ
author Tabish Hussain
spellingShingle Tabish Hussain
Independent Predictors of Postoperative Severe Pain Among Patients Undergoing Gynecological Surgeries
Journal of Rawalpindi Medical College
Postoperative pain
Gynaecological Surgeries
author_facet Tabish Hussain
author_sort Tabish Hussain
title Independent Predictors of Postoperative Severe Pain Among Patients Undergoing Gynecological Surgeries
title_short Independent Predictors of Postoperative Severe Pain Among Patients Undergoing Gynecological Surgeries
title_full Independent Predictors of Postoperative Severe Pain Among Patients Undergoing Gynecological Surgeries
title_fullStr Independent Predictors of Postoperative Severe Pain Among Patients Undergoing Gynecological Surgeries
title_full_unstemmed Independent Predictors of Postoperative Severe Pain Among Patients Undergoing Gynecological Surgeries
title_sort independent predictors of postoperative severe pain among patients undergoing gynecological surgeries
publisher Rawalpindi Medical University
series Journal of Rawalpindi Medical College
issn 1683-3562
1683-3570
publishDate 2015-03-01
description Background: To determine independent predictors for postoperative severe pain in Post Anesthesia Care Unit (PACU) among patients who underwent general anesthesia for lower abdominal gynecological surgery. Methods: A prospective observational study was conducted from January 2013 to July 2014 in the 2500 beds Tongji Hospital, Tongji Medical College, Hua Zhong University of Science and Technology Wuhan China. The NRS (Numerical Rating Scale) ranging from 0 “no pain at all’ to 10(unbearable pain) was used on arrival postoperatively in PACU. NRS score NRS ≥7 was common break point for defining severe pain. We assessed also the preoperative information, medical treatment, intra-operative events and their role on postoperative severe pain (POSP). Patients were grouped labeled as either with postoperative severe pain POSP, and the non-POSP category. Results: Out of 1020, 18% experienced NRS≥7 showing severe unbearable pain. Using a univariate analysis, age, invasive surgeries, the duration of the surgical procedure, anesthesia maintenance, intra-operative fluid load and loss, blood loss, postoperative nausea and vomiting (PONV) prophylaxis, patients-controlled analgesia (PCA),malignancy and intra-operative analgesia were significant predictors for the POSP. Multivariate conditional regression modelling was also used to determine independent predictors for postoperative severe pain. Using multi-variate analysis, malignancy, operative time period, invasive nature of procedure and use of analgesic drugs found to be significantly independent predictor for POSP. Patients with cancer experienced more severe pain with OR (odds ratio) of 1.66, Invasive surgery OR=1.671, operation duration more than 2 hours with OR=1.774 and nonsteroidal anti-inflammatory drugs (NSAIDs) use before emergence was OR=3.648.Other factors were not considered because of their non significance. Conclusion: Patients with malignancies, undergoing invasive surgery, operative duration greater than 2 hours and NSAID use before emergence were significantly independent predictors for POSP. It was affecting on PACU discharge, hospital length of stay and additional health expenses.
topic Postoperative pain
Gynaecological Surgeries
url https://www.journalrmc.com/index.php/JRMC/article/view/303
work_keys_str_mv AT tabishhussain independentpredictorsofpostoperativeseverepainamongpatientsundergoinggynecologicalsurgeries
_version_ 1724666970642579456