A Narrative Review of Analytics in Pediatric Cardiac Anesthesia and Critical Care Medicine.

Congenital heart disease (CHD) is one of the most common birth anomalies, and the care of children with CHD has improved over the past 4 decades. However, children with CHD who undergo general anesthesia remain at increased risk for morbidity and mortality. The proliferation of electronic health record systems and sophisticated patient monitors affords the opportunity to capture and analyze large amounts of CHD patient data, and the application of novel, effective analytics methods to these data can enable clinicians to enhance their care of pediatric CHD patients. This narrative review covers recent efforts to leverage analytics in pediatric cardiac anesthesia and critical care to improve the care of children with CHD.

Prognostic value of troponin I levels for predicting adverse cardiovascular outcomes in postmenopausal women undergoing cardiac surgery.

BACKGROUND: Adverse cardiac events that follow cardiac surgery are an important source of perioperative morbidity and mortality for women. Troponin I provides a sensitive measure of cardiac injury, but the levels after cardiac surgery may vary between sexes. Our purpose in this study was to evaluate the prognostic value of troponin I levels for predicting cardiovascular complications in postmenopausal women undergoing cardiac surgery. METHODS: The cohort of this study were women enrolled in a previously reported clinical trial evaluating the neuroprotective potential of 17beta-estradiol in elderly women. In that study, 175 postmenopausal women not receiving estrogen replacement therapy and scheduled to undergo coronary artery bypass graft (with or without valve surgery) were prospectively randomized to receive 17beta-estradiol or placebo in a double-blind manner beginning the day before surgery and continuing for 5 days postoperatively. Serial 12-lead electrocardiograms were performed and serum troponin I concentrations were measured before surgery, after surgery on arrival in the intensive care unit, and for the first four postoperative days. The primary end-point of the present study was major adverse cardiovascular events (MACE) defined as a Q-wave myocardial infarction, low cardiac output state or death within 30 days of surgery. The diagnosis of Q-wave myocardial infarction was made independently by two physicians blinded to treatment and patient outcomes with the final diagnosis requiring consensus. Low cardiac output state was defined as cardiac index <2.0 L x min(-1) x m(-2) for >8 h regardless of treatment. RESULTS: Troponin I levels on postoperative day 1 were predictive of MACE (area under the receiver operator curve = 0.862). A cutoff point for troponin I of >7.6 ng/mL (95% confidence interval, 6.4-10.8) provided the optimal sensitivity and specificity for identifying patients at risk for MACE. The negative predictive value of a troponin I level for identifying a patient with a composite cardiovascular outcome was high (96%) and the positive predictive value moderate (40%). Postoperative troponin I levels were not different between women receiving perioperative 17beta-estradiol treatment compared with placebo and the frequency of MACE was not influenced by 17beta-estradiol treatment. CONCLUSIONS: In postmenopausal women, elevated troponin I levels on postoperative day 1 are predictive of MACE. Monitoring of perioperative troponin I levels might provide a means for stratifying patients at risk for adverse cardiovascular events.

A novel process for introducing a new intraoperative program: a multidisciplinary paradigm for mitigating hazards and improving patient safety.

BACKGROUND: Since the Institute of Medicine's report, To Err is Human, was published, numerous interventions have been designed and implemented to correct the defects that lead to medical errors and adverse events; however, most efforts were largely reactive. Safety, communication, team performance, and efficiency are areas of care that attract a great deal of attention, especially regarding the introduction of new technologies, techniques, and procedures. We describe a multidisciplinary process that was implemented at our hospital to identify and mitigate hazards before the introduction of a new technique: high-dose-rate intraoperative radiation therapy, (HDR-IORT). METHODS: A multidisciplinary team of surgeons, anesthesiologists, radiation oncologists, physicists, nurses, hospital risk managers, and equipment specialists used a structured process that included in situ clinical simulation to uncover concerns among care providers and to prospectively identify and mitigate defects for patients who would undergo surgery using the HDR-IORT technique. RESULTS: We identified and corrected 20 defects in the simulated patient care process before application to actual patients. Subsequently, eight patients underwent surgery using the HDR-IORT technique with no recurrence of simulation-identified or unanticipated defects. CONCLUSION: Multiple benefits were derived from the use of this systematic process to introduce the HDR-IORT technique; namely, the safety and efficiency of care for this select patient population was optimized, and this process mitigated harmful or adverse events before the inclusion of actual patients. Further work is needed, but the process outlined in this paper can be universally applied to the introduction of any new technologies, treatments, or procedures.

Successful implementation of a perioperative glycemic control protocol in cardiac surgery: barrier analysis and intervention using lean six sigma.

Although the evidence strongly supports perioperative glycemic control among cardiac surgical patients, there is scant literature to describe the practical application of such a protocol in the complex ICU environment. This paper describes the use of the Lean Six Sigma methodology to implement a perioperative insulin protocol in a cardiac surgical intensive care unit (CSICU) in a large academic hospital. A preintervention chart audit revealed that fewer than 10% of patients were admitted to the CSICU with glucose <200 mg/dL, prompting the initiation of the quality improvement project. Following protocol implementation, more than 90% of patients were admitted with a glucose <200 mg/dL. Key elements to success include barrier analysis and intervention, provider education, and broadening the project scope to address the intraoperative period.