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Published on: May 26, 2023
Parameters Affecting Nausea and Vomiting After Thoracoscopic Wedge Resection in Patients With Pneumothorax
Musa Zengin1, Hilal Sazak1, Ramazan Baldemir1
1Anesthesiology and Reanimation, University of Health Sciences, Ankara Atatürk Chest Diseases and Thoracic Surgery Training and Research Hospital, Ankara, TUR.
Background:
Postoperative nausea and vomiting (PONV) is one of the complications that can occur frequently in the first 24 hours postoperatively. We aimed to investigate the parameters that could predict PONV in patients who underwent thoracoscopic wedge resection for pneumothorax.
Materials And Methods:
After obtaining the approval of the ethics committee (ID: 2012-KEAK-15/2358, Date: 14.09.2021), the records of patients who underwent elective video-assisted thoracic surgery (VATS) between January 2018 and June 2021 were analyzed retrospectively. The patients who underwent elective thoracoscopic wedge resection for pneumothorax, who were between the ages of 18-65, American Society of Anesthesiologists (ASA) I-III, and whose body mass index (BMI) was between 18-30 kg/m2 were included in the study. However, patients who received a blood transfusion or used antiemetics, anticholinergic drugs, and analgesics continuously were not included. In addition, patients with a history of chronic pain were not included in the study. The patients were divided into two groups, the PONV group (Group 1) and the control group (Group 2). The PONV incidence, visual analog scale (VAS) scores, 24-hour morphine consumption, additional analgesic requirement, neutrophil/lymphocyte ratios (NLR), and platelet/lymphocyte ratios (PLR) were evaluated.
Results:
The groups were similar in terms of demographic data (p > 0.05). Additional analgesic requirement and 24-hour morphine consumption were significantly higher in the PONV group (p: 0.005, p < 0.001, respectively). Preoperative NLR (p < 0.001), postoperative NLR (p < 0.001), preoperative PLR (p < 0.022), the VAS scores of the first hour (p: 0.004), and 24th hour (p < 0.001) were statistically significantly higher in the PONV group compared to the control group.
Conclusions:
NLR parameters can be effective with high sensitivity and specificity in predicting PONV during the preoperative and postoperative period. Besides, preoperative PLR may also be effective in predicting PONV. A treatment that can be planned according to these parameters may play a key role in preventing PONV. In addition, efficient perioperative analgesia management may be effective in reducing PONV by limiting the emetogenic analgesics.
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