Objective To determine the risk factors for the anxiety status of the patients undergoing breast surgery in the waiting area. Methods A total of 214 female patients scheduled for elective breast surgery, underwent biopsy under local anesthesia, were selected. When the patients were waiting for the pathological results in the waiting area, they filled in the questionnaire independently, read and understood the questionnaire of this study, showed cooperation and voluntarily received investigation including State-Trait Anxiety Inventory (STAI), self-evaluation questionnaire, etc. Anxiety was assessed and scored by the patients themselves. The patients were divided into state anxiety group and non-state anxiety group ac-cording to State-Anxiety scale. The variables were compared, and the variables of which P values less than 0. 05 would enter the logistic regression analysis to stratify the risk factors for the anxiety status of the pa-tients undergoing breast surgery in the waiting area. Results The incidence of state anxiety in the wait-ing area was 62. 6％. Compared with non-state anxiety group, significant change was found in the larger possibility of malignant breast lesions in preoperative conversation, preoperative anxiety, self anxiety score, STAI score and no understanding of disease prognosis in state anxiety group (P<0. 05). Logistic regression analysis showed that the larger possibility of malignant breast lesions in preoperative conversation, preoperative anxiety, self anxiety score and STAI score were all independent risk factors for the anxiety status of the patients undergoing breast surgery in the waiting area. Among all the patients involved in the investigation, 144 patients felt anxiety before surgery, 100％ patients expected help from the doctor in charge, and 60. 4％ patients expected the company of family in the waiting area. Conclusion Larger possibility of ma-lignant breast lesions in preoperative conversation, preoperative anxiety, self anxiety score and STAI score are independent risk factors for the anxiety status of the patients undergoing breast surgery while waiting for the pathological results in the waiting area after biopsy under local anesthesia.

Objective Airway-related patient safety incident (PSI) has always been the top concern of anesthesiologists because this type of incidents could severely threaten patient safety if not treated immediately and properly. This study intends to reveal the composition, prognosis, and to identify risk factors for airway related incidents reported by anesthesiologists. Methods All airway related PSIs reported by anesthesiologists in a Chinese academic hospital between September 2009 and May 2022 were collected from the PSI reporting system. Patients with airway incidents reported were matched 1:1 with controls based on sex and type of surgery. Univariable and multivariable analysis were performed to find risk factors associated with airway incident occurrence, and to evaluate influence of airway PSIs on patient prognosis. Results Among 1,038 PSIs voluntarily reported by anesthesiologists during the study period, 281 cases (27.1%) were airway-related incidents, with an overall reporting incidence of 4.74 per 10,000 among 592,884 anesthesia care episodes. Only ASA physical status was found to be significant independent predictor of these airway PSIs (P = 0.020). Patients with airway PSIs reported had longer extubation time (0.72 ± 1.56 d vs. 0.16 ± 0.77 d, 95%CI: 0.29 to 0.82, P < 0.001), longer ICU length of stay (LOS) (1.63 ± 5.71 d vs. 0.19 ± 0.84 d, 95%CI: 0.57 to 2.32, P= 0.001), longer post operative LOS (10.56 ± 13.09 d vs. 7.59 ± 10.76 d, 95%CI: 0.41 to 5.53, P = 0.023), and longer total in-hospital LOS (14.99 ± 15.18 d vs. 11.62 ± 11.88 d, 95%CI: 0.46 to 6.27,P = 0.024). Conclusions This single-center retrospective case-control study describes the composition of airway-related PSIs reported by anesthesiologists within thirteen years. Airway incidents might influence patient prognosis by elongating extubation time and LOS. Airway PSI data were worth analyzing to improve patient safety.
Humans ; Patient Safety ; Retrospective Studies ; Case-Control Studies ; Anesthesia/adverse effects* ; Risk Factors