Optimization efficacy of individualized LPVS based on P-V curve combined with PCV-VG mode for OLV in elderly patients undergoing radical resection of lung cancer / 中华麻醉学杂志
Chinese Journal of Anesthesiology
; (12): 317-321, 2023.
Article
in Zh
| WPRIM
| ID: wpr-994192
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ABSTRACT
Objective:To evaluate the optimization efficacy of pressure-volume (P-V) curve-based individualized lung-protective ventilation strategy combined with pressure-controlled ventilation-volume guaranteed (PCV-VG) mode (LPVS+ PCV-VG) for one-lung ventilation (OLV) in elderly patients undergoing radical resection of lung cancer.Methods:Seventy American Society of Anesthesiologists Physical Status classificationⅡ-Ⅲ patients, aged 65-74 yr, with body mass index of 18-24 kg/m 2, undergoing elective thoracoscopic radical resection of lung cancer, were divided into 2 groups ( n=35 each) using a random number table method: PCV-VG group and LPVS+ PCV-VG group. Blood samples were collected from the radial artery for blood gas analysis before induction of general anesthesia (T 0), at 5 min of two lung ventilation after endotracheal intubation (T 1), at 30 min of OLV (T 2), at the end of OLV (T 3), and at 5 min of two lung ventilation in supine position (T 4). Ppeak, mean airway pressure (Pmean) and dynamic lung compliance (Cdyn) were recorded. The use of antibiotics, lung-related complications and rehabilitation were recorded within 7 days after operation. Results:Compared with PCV-VG group, PaO 2, PaCO 2 and Cdyn were significantly increased at T 2-4, Ppeak was decreased at T 2, 3, Pmean was increased at T 3, the requirement for antibiotics within 7 days after operation was decreased, the incidence of 1 grade lung-related complications was decreased, and the thoracic drainage tube indwelling time and length of hospital stay were shortened in LPVS+ PCV-VG group ( P<0.05). Conclusions:Individualized LPVS based on P-V curve combined with PCV-VG mode provides better efficacy for OLV in elderly patients undergoing radical resection of lung cancer.
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Language:
Zh
Journal:
Chinese Journal of Anesthesiology
Year:
2023
Type:
Article