Background: Postoperative pulmonary complications (PPCs) and hypoxaemia are associated with morbidity and mortality. We aimed to evaluate the feasibility and efficacy of lung ultrasound (LUS) to diagnose PPCs in patients suffering from hypoxaemia after general anaesthesia and compare the results to those of thoracic computed tomography (CT). Methods: Adult patients who received general anaesthesia and suffered from hypoxaemia in the postanaesthesia care unit (PACU) were analysed. Hypoxaemia was defined as an oxygen saturation measured by pulse oximetry (SPO 2) less than 92% for more than 30 s under ambient air conditions. LUS was performed by two trained anaesthesiologists once hypoxaemia occurred. After LUS examination, each patient was transported to the radiology department for thoracic CT scan within 1 h before returning to the ward. Results: From January 2019 to May 2019, 113 patients (61 men) undergoing abdominal surgery (45 patients, 39.8%), video-assisted thoracic surgery (31 patients, 27.4%), major orthopaedic surgery (17 patients, 15.0%), neurosurgery (10 patients, 8.8%) or other surgery (10 patients, 8.8%) were included. CT diagnosed 327 of 1356 lung zones as atelectasis, while LUS revealed atelectasis in 311 of the CT-confirmed zones. Pneumothorax was detected by CT scan in 75 quadrants, 72 of which were detected by LUS. Pleural effusion was diagnosed in 144 zones on CT scan, and LUS detected 131 of these zones. LUS was reliable in diagnosing atelectasis (sensitivity 98.0%, specificity 96.7% and diagnostic accuracy 97.2%), pneumothorax (sensitivity 90.0%, specificity 98.9% and diagnostic accuracy 96.7%) and pleural effusion (sensitivity 92.9%, specificity 96.0% and diagnostic accuracy 95.1%). Conclusions: Lung ultrasound is feasible, efficient and accurate in diagnosing different aetiologies of postoperative hypoxia in healthy-weight patients in the PACU.
BACKGROUND: The influence of surgical delay on mortality and morbidity has been studied extensively among elderly hip fracture patients. However, most studies only focus on the timing of surgery when patients have already been hospitalized, without considering pre-admission waiting time. Therefore, the present study aims to explore the infl uence of admission delay on surgical outcomes. METHODS: In this retrospective study, we recorded admission timing and interval from admission to surgery for included patient. Other covariates were also collected to control confounding. The primary outcome was 1-year mortality. The secondary outcomes were 1-month mortality, 3-month mortality, ICU admission and postoperative pneumonia. We mainly used multivariate logistic regression to determine the effect of admission timing on postoperative outcomes. An additional survival analysis was also performed to assess the impact of admission delay on survival status in the fi rst year after operation. RESULTS: The proportion of patients hospitalized on day 0, day 1, day 2 after injury was 25.4%, 54.7% and 66.3%, respectively. And 12.6% patients visited hospital one week later after injury. Mean time from admission to surgery was 5.2 days (standard deviation 2.8 days). Hospitalization at one week after injury was a risk factor for 1-year mortality (OR 1.762, 95% CI 1.026-3.379, P=0.041) CONCLUSION: Admission delay of more than one week is signifi cantly associated with higher 1-year mortality. As a supplement to the current guidelines which emphasizes early surgery after admission, we also advocate early admission once patients get injured.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.