This study identified six factors that were independently associated with absence of optimal cerebral perfusion pressure curves.

Background Functional capacity is used as an indicator for cardiac testing before non-cardiac surgery and is often performed subjectively. However, the value of subjectively estimated functional capacity in predicting cardiac complications is under debate. We determined the predictive value of subjectively assessed functional capacity on postoperative cardiac complications and mortality. Design An observational cohort study in patients aged 60 years and over undergoing elective inpatient non-cardiac surgery in a tertiary referral hospital. Methods Subjective functional capacity was determined by anaesthesiologists. The primary outcome was postoperative myocardial injury. Secondary outcomes were postoperative inhospital myocardial infarction and one year mortality. Logistic regression analysis and area under the receiver operating curves were used to determine the added value of functional capacity. Results A total of 4879 patients was included; 824 (17%) patients had a poor subjective functional capacity. Postoperative myocardial injury occurred in 718 patients (15%). Poor functional capacity was associated with myocardial injury (relative risk (RR) 1.7, 95% confidence interval (CI) 1.5–2.0; P < 0.001), postoperative myocardial infarction (RR 2.9, 95% CI 1.9–4.2; P < 0.001) and one year mortality (RR 1.7, 95% CI 1.4–2.0; P < 0.001). After adjustment for other predictors, functional capacity was still a significant predictor for myocardial injury (odds ratio (OR) 1.3, 95% CI 1.0–1.7; P = 0.023), postoperative myocardial infarction (OR 2.0, 95% CI 1.3–3.0; P = 0.002) and one year mortality (OR 1.4, 95% CI 1.1–1.8; P = 0.003), but had no added value on top of other predictors. Conclusions Subjectively assessed functional capacity is a predictor of postoperative myocardial injury and death, but had no added value on top of other preoperative predictors.

The index of cerebrovascular pressure reactivity (PRx) correlates independently with outcome after traumatic brain injury (TBI). However, as an index plotted in the time domain, PRx is rather noisy. To "organise" PRx and make its interpretation easier, the colour coding of values, with green when PRx <0 and red when PRx> 0.3, has been introduced as a horizontal colour bar on the ICM+ screen. In rare cases of death from refractory intracranial hypertension, an increase in intracranial pressure (ICP) is commonly preceded by values of PRx >0.3, showing a "solid red line".Twenty patients after TBI and one after traumatic subarachnoid haemorrhage (SAH) from six centres in Europe and Australia have been studied. All of them died in a scenario of refractory intracranial hypertension. In the majority of cases the initial ICP was below 20 mmHg and finally increased to values well above 60 mmHg, resulting in cerebral perfusion pressure less than 20 mmHg. In three cases initial ICP was elevated at the start of monitoring. A solid red line was observed in all cases preceding an increase in ICP above 25 mmHg by minutes to hours and in two cases by 2 and 3 days, respectively. If a solid red line is observed over a prolonged period, it should be considered as an indicator of deep cerebrovascular deterioration.

Background Myocardial infarction is an important complication after noncardiac surgery. Therefore, perioperative troponin surveillance is recommended for patients at risk. The aim of this study was to identify patients at high risk of perioperative myocardial infarction (POMI), in order to aid appropriate selection and to omit redundant laboratory measurements in patients at low risk. Methods and Results This observational cohort study included patients ≥60 years of age who underwent intermediate to high risk noncardiac surgery. Routine postoperative troponin I monitoring was performed. The primary outcome was POMI. Classification and regression tree analysis was used to identify patient groups with varying risks of POMI. In each subgroup, the number needed to screen to identify 1 patient with POMI was calculated. POMI occurred in 216 (4%) patients and other myocardial injury in 842 (15%) of the 5590 included patients. Classification and regression tree analysis divided patients into 14 subgroups in which the risk of POMI ranged from 1.7% to 42%. Using a risk of POMI ≥2% to select patients for routine troponin I monitoring, this monitoring would be advocated in patients ≥60 years of age undergoing emergency surgery, or those undergoing elective surgery with a Revised Cardiac Risk Index class >2 (ie >1 risk factor). The number needed to screen to detect a patient with POMI would be 14 (95% CI 14–14) and 26% of patients with POMI would be missed. Conclusions To improve selection of high‐risk patients ≥60 years of age, routine postoperative troponin I monitoring could be considered in patients undergoing emergency surgery, or in patients undergoing elective surgery classified as having a revised cardiac risk index class >2.