COVID-19 Pandemic Simulation Modelling in Anaesthesia Residency Training to Predict Delays and Workforce Deficiencies: A Case Study of the Singapore Residency Training Program.

Background COVID-19 has been the worst pandemic of this century, resulting in economic, social, and educational disruptions. Residency training is no exception, with training restrictions delaying the progression and graduation of residents. We sought to utilize simulation modelling to predict the impact on future cohorts in the event of repeated and prolonged movement restrictions due to COVID-19 and future pandemics of a similar nature. Method A Delphi study was conducted to determine key Accreditation Council for Graduate Medical Education-International (ACGME-I) training variables affected by COVID-19. Quantitative resident datasets on these variables were collated and analysed from 2018 to 2021. Using the Vensim® software (Ventana Systems, Inc., Harvard, MA), historical resident data and pandemic progression delays were used to create a novel simulation model to predict future progression delay. Various durations of delay were also programmed into the software to simulate restrictions of varying severity that would impact resident progression. Results Using the model with scenarios simulating varying pandemic length, we found that the estimated average delay for residents in each accredited year ranged from an increase of one month for year 2 residents to more than three months for year 4 residents. Movement restrictions lasting a year would require up to six years before the program returned to a pre-pandemic equilibrium. Conclusion Systems dynamic modelling can be used to predict delays in residency training programs during a pandemic. The impact on the workforce can thus be projected, allowing residency programs to institute mitigating measures to avoid progression delay.

Pericapsular nerve group (PENG) block for early pain management of elderly patients with hip fracture: a single-center double-blind randomized controlled trial.

BACKGROUND: The pericapsular nerve group block (PENG) is a novel technique that blocks the articular branches of the hip joint. This study aimed to compare its effectiveness to a sham block in elderly patients with hip fractures. METHOD: A randomized double-blind controlled trial was conducted in elderly patients with intertrochanteric and neck of femur fractures. Patients were randomized to receive either PENG block or a sham block. Postblock, systemic analgesia was titrated using a standardized protocol of acetaminophen, oral morphine or patient-controlled analgesia. The primary outcome was the dynamic pain score (Numerical Rating Scale 0-10) at 30 min postblock. Secondary outcomes included pain scores at multiple other time points and 24-hour opioid consumption. RESULTS: 60 patients were randomized and 57 completed the trial (PENG n=28, control n=29). Patients in PENG group had significantly lower dynamic pain scores at 30 min compared with control group (median (IQR) 3 (0.5-5) vs 5 (3-10), p<0.01). For the secondary outcomes, dynamic pain scores were lower in PENG group at 1 hour (median (IQR) 2 (1-3.25) vs 5 (3-8), p<0.01) and 3 hours postblock (median (IQR) 2 (0-5) vs 5 (2-8), p<0.05). Patients in PENG group had lower 24-hour opioid consumption (median (IQR) oral morphine equivalent dose 10 (0-15) vs 15 (10-30) mg, p<0.05). CONCLUSION: PENG block provided effective analgesia for acute traumatic pain following hip fracture. Further studies are required to validate the superiority of PENG blocks over other regional techniques. TRIAL REGISTRATION NUMBER: NCT04996979.

Development of the Combined Assessment of Risk Encountered in Surgery (CARES) surgical risk calculator for prediction of postsurgical mortality and need for intensive care unit admission risk: a single-center retrospective study.

INTRODUCTION: Accurate surgical risk prediction is paramount in clinical shared decision making. Existing risk calculators have limited value in local practice due to lack of validation, complexities and inclusion of non-routine variables. OBJECTIVE: We aim to develop a simple, locally derived and validated surgical risk calculator predicting 30-day postsurgical mortality and need for intensive care unit (ICU) stay (>24 hours) based on routinely collected preoperative variables. We postulate that accuracy of a clinical history-based scoring tool could be improved by including readily available investigations, such as haemoglobin level and red cell distribution width. METHODOLOGY: Electronic medical records of 90 785 patients, who underwent non-cardiac and non-neuro surgery between 1 January 2012 and 31 October 2016 in Singapore General Hospital, were retrospectively analysed. Patient demographics, comorbidities, laboratory results, surgical priority and surgical risk were collected. Outcome measures were death within 30 days after surgery and ICU admission. After excluding patients with missing data, the final data set consisted of 79 914 cases, which was divided randomly into derivation (70%) and validation cohort (30%). Multivariable logistic regression analysis was used to construct a single model predicting both outcomes using Odds Ratio (OR) of the risk variables. The ORs were then assigned ranks, which were subsequently used to construct the calculator. RESULTS: Observed mortality was 0.6%. The Combined Assessment of Risk Encountered in Surgery (CARES) surgical risk calculator, consisting of nine variables, was constructed. The area under the receiver operating curve (AUROC) in the derivation and validation cohorts for mortality were 0.934 (0.917-0.950) and 0.934 (0.912-0.956), respectively, while the AUROC for ICU admission was 0.863 (0.848-0.878) and 0.837 (0.808-0.868), respectively. CARES also performed better than the American Society of Anaesthesiologists-Physical Status classification in terms of AUROC comparison. CONCLUSION: The development of the CARES surgical risk calculator allows for a simplified yet accurate prediction of both postoperative mortality and need for ICU admission after surgery.

An unusual route taken by a central venous catheter resulting in inadvertent subclavian artery cannulation: a case report.

Ultrasound-guided cannulation of a central venous catheter into the internal jugular vein (IJV) was performed in the intensive care unit for a critically ill patient. The catheter was inserted into the subclavian artery distally, despite prior ultrasound confirmation of the guidewire position using both the in-plane and out-of-plane views. The catheter was removed successfully by the interventional radiologist with a closure device. To our knowledge, there have been previous case reports of subclavian artery injury during IJV cannulation with ultrasound guidance, but rarely in the setting whereby the guidewire was visualized before dilatation and railroading of the catheter. This case demonstrates that the confirmation of the guidewire in the proximal segment of the vein is insufficient to exclude arterial cannulation.

Infant lumbar and thoracic epidurals for abdominal surgeries: cases in a paediatric tertiary institution.

INTRODUCTION: There is strong evidence that epidural analgesia provides good postoperative pain relief in adults, but its use in infants is less established. In this retrospective study, we present our experience with managing infant epidural analgesia for abdominal surgeries in a tertiary paediatric institution. METHODS: The records of 54 infants who had received a thoracic or lumbar epidural as perioperative analgesia for abdominal surgeries were included. The mean age of the infants was 6.1 (standard deviation [SD] 3.8) months and their mean weight was 6.8 kg (SD 1.8). Most (63%) had an ASA (American Society of Anesthesiologists) status of 2 and all underwent elective gastrointestinal, urogenital, hepatobiliary or retroperitoneal surgeries. 20 catheters (37.0%) were inserted in the thoracic region and 33 (61.1%) in the lumbar region. RESULTS: A total of 52 (96.3%) catheters provided adequate intraoperative analgesia and 36 (66.7%) provided effective analgesia for the postoperative period. Active management of epidural analgesia, such as through epidural top-ups and infusion rate adjustment, was necessary to optimise analgesia in 22 (44%) of the 50 patients postoperatively. Reasons for premature catheter removal were mainly technical issues such as catheter disconnection, leakage and blockage. CONCLUSION: Our data suggests that in experienced hands, specialised settings and active management, the success rate of epidural analgesia in infants undergoing major abdominal surgeries is high and without major incident.