Measuring the impact of maternal critical care admission on short- and longer-term maternal and birth outcomes.

PURPOSE: Factors increasing the risk of maternal critical illness are rising in prevalence in maternity populations. Studies of general critical care populations highlight that severe illness is associated with longer-term physical and psychological morbidity. We aimed to compare short- and longer-term outcomes between women who required critical care admission during pregnancy/puerperium and those who did not. METHODS: This is a cohort study including all women delivering in Scottish hospitals between 01/01/2005 and 31/12/2018, using national healthcare databases. The primary exposure was intensive care unit (ICU) admission, while secondary exposures included high dependency unit admission. Outcomes included hospital readmission (1-year post-hospital discharge, 1-year mortality, psychiatric hospital admission, stillbirth, and neonatal critical care admission). Multivariable Cox and logistic regression were used to report hazard ratios (HR) and odds ratios (OR) of association between ICU admission and outcomes. RESULTS: Of 762,918 deliveries, 1449 (0.18%) women were admitted to ICU, most commonly due to post-partum hemorrhage (225, 15.5%) followed by eclampsia/pre-eclampsia (133, 9.2%). Over-half (53.8%) required mechanical ventilation. One-year hospital readmission was more frequent in women admitted to ICU compared with non-ICU populations [24.5% (n = 299) vs 8.9% (n = 68,029)]. This association persisted after confounder adjustment (HR 1.93, 95% confidence interval [CI] 1.33, 2.81, p < 0.001). Furthermore, maternal ICU admission was associated with increased 1-year mortality (HR 40.06, 95% CI 24.04, 66.76, p < 0.001), stillbirth (OR 12.31, 95% CI 7.95,19.08, p < 0.001) and neonatal critical care admission (OR 6.99, 95% CI 5.64,8.67, p < 0.001) after confounder adjustment. CONCLUSION: Critical care admission increases the risk of adverse short-term and long-term maternal, pregnancy and neonatal outcomes. Optimizing long-term post-partum care may benefit maternal critical illness survivors.

Pilot Project for a Web-Based Dynamic Nomogram to Predict Survival 1 Year After Hip Fracture Surgery: Retrospective Observational Study.

BACKGROUND: Hip fracture is associated with high mortality. Identification of individual risk informs anesthetic and surgical decision-making and can reduce the risk of death. However, interpreting mathematical models and applying them in clinical practice can be difficult. There is a need to simplify risk indices for clinicians and laypeople alike. OBJECTIVE: Our primary objective was to develop a web-based nomogram for prediction of survival up to 365 days after hip fracture surgery. METHODS: We collected data from 329 patients. Our variables included sex; age; BMI; white cell count; levels of lactate, creatinine, hemoglobin, and C-reactive protein; physical status according to the American Society of Anesthesiologists Physical Status Classification System; socioeconomic status; duration of surgery; total time in the operating room; side of surgery; and procedure urgency. Thereafter, we internally calibrated and validated a Cox proportional hazards model of survival 365 days after hip fracture surgery; logistic regression models of survival 30, 120, and 365 days after surgery; and a binomial model. To present the models on a laptop, tablet, or mobile phone in a user-friendly way, we built an app using Shiny (RStudio). The app showed a drop-down box for model selection and horizontal sliders for data entry, model summaries, and prediction and survival plots. A slider represented patient follow-up over 365 days. RESULTS: Of the 329 patients, 24 (7.3%) died within 30 days of surgery, 65 (19.8%) within 120 days, and 94 (28.6%) within 365 days. In all models, the independent predictors of mortality were age, BMI, creatinine level, and lactate level. The logistic model also incorporated white cell count as a predictor. The Cox proportional hazards model showed that mortality differed as follows: age 80 vs 60 years had a hazard ratio (HR) of 0.6 (95% CI 0.3-1.1), a plasma lactate level of 2 vs 1 mmol/L had an HR of 2.4 (95% CI 1.5-3.9), and a plasma creatinine level of 60 vs 90 mol/L had an HR of 2.3 (95% CI 1.3-3.9). CONCLUSIONS: In conclusion, we provide an easy-to-read web-based nomogram that predicts survival up to 365 days after hip fracture. The Cox proportional hazards model and logistic models showed good discrimination, with concordance index values of 0.732 and 0.781, respectively.

The Metastatic Early Prognostic (MEP) score.

AIMS: The early mortality in patients with hip fractures from bony metastases is unknown. The objectives of this study were to quantify 30- and 90-day mortality in patients with proximal femoral metastases, and to create a mortality prediction tool based on biomarkers associated with early death. METHODS: This was a retrospective cohort study of consecutive patients referred to the orthopaedic department at a UK trauma centre with a proximal femoral metastasis (PFM) over a seven-year period (2010 to 2016). The study group were compared to a matched control group of non-metastatic hip fractures. Minimum follow-up was one year. RESULTS: There was a 90-day mortality of 46% in patients with metastatic hip fractures versus 12% in controls (89/195 and 24/192, respectively; p < 0.001). Mean time to surgery was longer in symptomatic metastases versus complete fractures (9.5 days (SD 19.8) and 3.4 days (SD 11.4), respectively; p < 0.05). Albumin, urea, and corrected calcium were all independent predictors of early mortality and were used to generate a simple tool for predicting 90-day mortality, titled the Metastatic Early Prognostic (MEP) score. An MEP score of 0 was associated with the lowest risk of death at 30 days (14%, 3/21), 90 days (19%, 4/21), and one year (62%, 13/21). MEP scores of 3/4 were associated with the highest risk of death at 30 days (56%, 5/9), 90 days (100%, 9/9), and one year (100%, 9/9). Neither age nor primary cancer diagnosis was an independent predictor of mortality at 30 and 90 days. CONCLUSION: This score could be used to predict early mortality and guide perioperative counselling. The delay to surgery identifies a potential window to intervene and correct these abnormalities with the aim of improving survival. Cite this article: Bone Joint J. 2020;102-B(1):72-81.

A prospective cohort study investigating the use of a surgical planning tool to improve patient fasting times in orthopaedic trauma.

OBJECTIVES: To improve surgical planning and reduce fasting times with a tool designed to predict average surgical times for the commonest orthopaedic trauma operations. METHODS: A prospective cohort study comprising two 2-week periods before and after introduction of a surgical planning tool. The tool was used in the post-intervention group to predict surgical times for each patient and the predicted end-time for each list. The study was conducted in a UK trauma unit with consecutive orthopaedic trauma patients listed for surgery with no exclusions. INTERVENTION: A surgical planning tool was generated by analysing 5146 electronic records for trauma procedure times. Average surgical times for the commonest 20 procedures were generated with 95% confidence intervals. The primary outcome measure was number of patients fasted for a single day. The secondary outcome measures were the day of surgery and total fast times for food and fluids. RESULTS: After introduction of the planning tool, patients were more likely to fast for only one day (65% 46/71 vs 53% 40/75, p < 0.05). Day of surgery food fast was significantly lower with use of the surgical planning tool (13:11 h to 11:44 h, p < 0.05). Fast times were lower for patients with hip fractures after the intervention, with a reduction in day of surgery fast from 8:25 h to 4:28 h (p < 0.05) and a total fluid fast of 13:00 h to 4:31 h (p < 0.001). CONCLUSIONS: Introduction of a surgical planning tool was associated with a decrease in fasting times for orthopaedic trauma patients with no patient cancelled for not being adequately fasted.

Blood tests: One too many? Evaluating blood requesting guidance developed for acute patients admitted to trauma and orthopaedic units.

In a recently published report from the Academy of Medical Royal Colleges, around 20% of clinical practice which encompasses blood science investigations is considered wasteful. Blood tests including liver function tests (LFTs), C-reactive protein (CRP), coagulation screens, and international normalising ratios (INR) are frequently requested for patients who undergo emergency hospital admission. The paucity of guidance available for blood requesting in acute trauma and orthopaedic admissions can lead to inappropriate requesting practices and over investigation. Acute admissions over a period of one month were audited retrospectively for the frequency and clinical indications of requests for LFTs, coagulation screens/INR, and CRP. The total number of blood tests requested for the duration of the patient's admission was recorded. Initial auditing of 216 admissions in January 2014 demonstrated a striking amount of over-investigation. Clinical guidelines were developed with multidisciplinary expert input and implemented within the department. Re-audit of 233 admissions was carried out in September 2014. Total no. of LFTs requested: January 895, September 336 (-62.5%); coagulation screens/INR requested: January 307, September 210 (-31.6%); CRPs requested: January 894, September 317 (-64.5%). No. of blood requests per patient: January (M=4.81, SD 4.75), September (M=3.60, SD=4.70). Approximate combined total cost of LFT, coagulation/INR, CRP in January £2674.14 and September £1236.19 (-£1437.95, -53.77%). A large decrease was observed in admission requesting and subsequent monitoring (p<0.01) following the implementation. This both significantly reduced cost and venepuncture rates.

Reducing prescribing errors: can a well-designed electronic system help?

RATIONALE, AIMS AND OBJECTIVES: In this study, the aim was to investigate if an electronic prescribing system designed specifically to reduce errors would lead to fewer errors in prescribing medicines in a secondary care setting. METHOD: The electronic system was compared with paper prescription charts on 16 intensive care patients to assess any change in the number of prescribing errors. RESULTS: The overall level of compliance with nationally accepted standards was significantly higher with the electronic system (91.67%) compared with the paper system (46.73%). Electronically generated prescriptions were found to contain significantly fewer deviations (28 in 329 prescriptions, 8.5%) than the written prescriptions (208 in 408 prescriptions, 51%). CONCLUSION: Taking an interdisciplinary approach to work on the creation of a system designed to minimize the risk of error has resulted in a favoured system that significantly reduces the number of errors made.