Identification of myocardial injury using perioperative troponin surveillance in major noncardiac surgery and net benefit over the Revised Cardiac Risk Index.

BACKGROUND: Patients with perioperative myocardial injury are at risk of death and major adverse cardiovascular and cerebrovascular events (MACCE). The primary aim of this study was to determine optimal thresholds of preoperative and perioperative changes in high-sensitivity cardiac troponin T (hs-cTnT) to predict MACCE and mortality. METHODS: Prospective, observational, cohort study in patients ≥50 yr of age undergoing elective major noncardiac surgery at seven hospitals in Sweden. The exposures were hs-cTnT measured before and days 0-3 after surgery. Two previously published thresholds for myocardial injury and two thresholds identified using receiver operating characteristic analyses were evaluated using multivariable logistic regression models and externally validated. The weighted comparison net benefit method was applied to determine the additional value of hs-cTnT thresholds when compared with the Revised Cardiac Risk Index (RCRI). The primary outcome was a composite of 30-day all-cause mortality and MACCE. RESULTS: We included 1291 patients between April 2017 and December 2020. The primary outcome occurred in 124 patients (9.6%). Perioperative increase in hs-cTnT ≥14 ng L-1 above preoperative values provided statistically optimal model performance and was associated with the highest risk for the primary outcome (adjusted odds ratio 2.9, 95% confidence interval 1.8-4.7). Validation in an independent, external cohort confirmed these findings. A net benefit over RCRI was demonstrated across a range of clinical thresholds. CONCLUSIONS: Perioperative increases in hsTnT ≥14 ng L-1 above baseline values identifies acute perioperative myocardial injury and provides a net prognostic benefit when added to RCRI for the identification of patients at high risk of death and MACCE. CLINICAL TRIAL REGISTRATION: NCT03436238.

Exposure to surgery is associated with better long-term outcomes in patients admitted to Swedish intensive care units.

BACKGROUND: Long-term outcomes of patients admitted to intensive care units (ICUs) after surgery are unknown. We investigated the long-term effects of surgical exposure prior to ICU admission. METHODS: Registry-based cohort study. The adjusted effect of surgical exposure for mortality was examined using Cox regression. Secondary analysis with conditional logistic regression in a case-control subpopulation matched for age, gender, and Simplified Acute Physiology Score III (SAPS3) was also conducted. RESULTS: 72 242 adult patients (56.9% males, median age 66 years [IQR 50-76]), admitted to Swedish ICUs in 3-year (2012-2014) were followed for a median of 2026 days (IQR 1745-2293). Cardiovascular diseases (17.5%), respiratory diseases (15.8%), trauma (11.2%), and infections (11.4%) were the leading causes for ICU admission. Mortality at longest follow-up was 49.4%. Age; SAPS3; admissions due to malignancies, respiratory, cardiovascular and renal diseases; and transfer to another ICU were associated with increased mortality. Surgical exposure prior to ICU admission (adjusted hazard ratio [aHR] 0.90; 95% CI 0.87-0.94; P < .001), admissions from the operation theatre (aHR 0.94; CI 0.90-0.99; P = .022) or post-anaesthesia care unit (aHR 0.92; CI 0.87-0.97; P = .003) were associated with decreased mortality. Conditional logistic regression confirmed the association between surgical exposure and decreased mortality (adjusted odds ratio 0.82; CI 0.75-0.91; P < .001). CONCLUSIONS: Long-term ICU mortality was associated with known risk factors such as age and SAPS3. Transfer to other ICUs also appeared to be a risk factor and requires further investigation. Prior surgical exposure was associated with better outcomes, a noteworthy observation given limited ICU admissions after surgery in Sweden.

Swedish surgical outcomes study (SweSOS): An observational study on 30-day and 1-year mortality after surgery.

BACKGROUND: The European Surgical Outcomes Study (EuSOS) revealed large variations in outcomes among countries. In-hospital mortality and ICU admission rates in Sweden were low, going against the assumption that access to ICU improves outcome. Long-term mortality was not reported in EuSOS and is generally poorly described in the current literature. OBJECTIVE: To describe the characteristics of the Swedish subset of EuSOS and identify predictors of short and long-term mortality after surgery. DESIGN: An observational cohort study. SETTING: Six universities and two regional hospitals in Sweden. PATIENTS: A cohort of 1314 adult patients scheduled for surgery between 4 April and 11 April 2011. MAIN OUTCOME MEASURES: 30-day and 1-year mortality. RESULTS: A total of 303 patients were lost to follow-up, leaving 1011 for analysis; 69% of patients were classified as American Society of Anesthesiologists' physical status 1 or 2, and 68% of surgical procedures were elective. The median length of stay in postanaesthesia care units (PACUs) was 175 min (interquartile range 110-270); 6.6% of patients had PACU length of stay of more than 12 h and 3.6% of patients were admitted to the ICU postoperatively. Thirty-day mortality rate was 1.8% [95% confidence interval (CI) 1.0-2.6] and 8.5% (CI 6.8-10.2) at 1 year (n = 18 and 86). The risk of death was higher than in an age and sex-matched population after 30 days (standardised mortality ratio 10.0, CI 5.9-15.8), and remained high after 1 year (standardised mortality ratio 3.9, CI 3.1-4.8). Factors predictive of 30-day mortality were age, American Society of Anesthesiologists' physical status, number of comorbidities, urgency of surgery and ICU admission. For 1-year mortality, age, number of comorbidities and urgency of surgery were independently predictive. ICU admission and long stay in PACU were not significant predictors of long-term mortality. CONCLUSION: Mortality rate increased almost five-fold at 1 year compared with 30-day mortality after surgery, demonstrating a significantly sustained long-term risk of death in this surgical population. In Sweden, factors associated with long-term postoperative mortality were age, number of comorbidities and surgical urgency.