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Up to 3 weeks after their unsuccessful anesthetic, repeated information and discussions had been offered. Despite the fact that all patients at that time claimed to be satisfied with this management, and eventually considered no further contacts necessary, this was obviously inaccurate. Therefore, professional psychiatric assessment, treatment and long-term follow-up should constitute standard practice for all patients who have experienced intraoperative awareness.

Surgery for hip fractures is associated with high mortality and morbidity. The causes of poor outcome are not fully understood and may be related to other factors than the surgery itself. The relative contributions of patient, surgical, anaesthetic and structural factors have seldom been studied together. This study, a retrospective registry-based cohort study of 14 932 patients undergoing hip fracture surgery in Sweden from 1st of January 2014 to 31st of December 2016, aimed to identify important predictors of mortality post-surgery. The independent predictive power of our included variables was examined using Cox proportional hazards modeling with all-cause mortality at longest follow-up as the outcome. Twelve independent variables were considered as interrelated ‘exposures’ and their individual adjusted effect within a single model were evaluated. Kaplan-Meier curves were also generated. Crude mortality rates were 8.2% at 30 days (95% CI 7.7–8.6%) and 23.6% at 365 days (95% CI 22.9–24.2%). Of the 12 factors entered into the Cox regression analysis, age (aHR1.06, p < 0.001), male gender (aHR 1.45, p < 0.001), ASA-PS-class (ASA 1&2 reference; ASA 3 aHR 2.12; ASA 4 aHR 4.79; ASA 5 aHR 12.57 respectively, p < 0.001) and PACU-LOS (aHR 1.01, p < 0.001) were significantly associated with mortality at longest follow-up (up to 3 years). University hospital status was protective (aHR 0.83, p < 0.001) in the same model. Age, gender and ASA-PS-class were strong predictors of mortality after surgery for hip fractures in Sweden. University hospital status and length of stay in the postoperative care unit were also identified as modifiable risk factors after multivariable adjustment and require confirmation in future studies.

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Background: Since 2013 surgical units in Sweden have reported procedures to the national Swedish Perioperative Register (SPOR). More than four million cases have been documented. Data consist of patient ID, type of surgery, diagnoses, time stamps during the perioperative process (from the decision to operate to the time of discharge from the postoperative recovery area) and quality measures. This article aims to describe SPOR and validate data mapping. Also, we wished to illustrate the utility of the SPOR in assessing variations in national surgical capacity during the COVID-19 pandemia years 2020-2021.Methods: After a detailed description of SPOR, we report on the validation of data performed by comparing data from local databases with data stored in the central SPOR database, assessing missing values and accuracy. Effects of the pandemic on surgical capacity were described by developing an index, based on the number of performed surgical procedures per week during four production weeks in January 2020. Subsequent weeks were then compared with this baseline. Results:The validation effort demonstrated nearly 100% data accuracy for the number and type of surgical procedures between local and central data. Missing data was a problem for some parameters. The number of performed surgical procedures decreased dramatically from week 11 in 2020 compared with normal production on a national basis, mainly impairing elective surgery.Discussion: Data validation revealed good agreement between local and central databases. The changes in national surgical capacity during the pandemic were illustrated by an index based on the reported surgical production.