Improving ICU Risk Predictive Models Through Automation Designed for Resiliency Against Documentation Bias.

OBJECTIVES: Electronic health records enable automated data capture for risk models but may introduce bias. We present the Philips Critical Care Outcome Prediction Model (CCOPM) focused on addressing model features sensitive to data drift to improve benchmarking ICUs on mortality performance. DESIGN: Retrospective, multicenter study of ICU patients randomized in 3:2 fashion into development and validation cohorts. Generalized additive models (GAM) with features designed to mitigate biases introduced from documentation of admission diagnosis, Glasgow Coma Scale (GCS), and extreme vital signs were developed using clinical features representing the first 24 hours of ICU admission. SETTING: eICU Research Institute database derived from ICUs participating in the Philips eICU telecritical care program. PATIENTS: A total of 572,985 adult ICU stays discharged from the hospital between January 1, 2017, and December 31, 2018, were included, yielding 509,586 stays in the final cohort; 305,590 and 203,996 in development and validation cohorts, respectively. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Model discrimination was compared against Acute Physiology and Chronic Health Evaluation (APACHE) IVa/IVb models on the validation cohort using the area under the receiver operating characteristic (AUROC) curve. Calibration assessed by actual/predicted ratios, calibration-in-the-large statistics, and visual analysis. Performance metrics were further stratified by subgroups of admission diagnosis and ICU characteristics. Historic data from two health systems with abrupt changes in Glasgow Coma Scale (GCS) documentation were assessed in the year prior to and after data shift. CCOPM outperformed APACHE IVa/IVb for ICU mortality (AUROC, 0.925 vs 0.88) and hospital mortality (AUROC, 0.90 vs 0.86). Better calibration performance was also attained among subgroups of different admission diagnoses, ICU types, and over unique ICU-years. The CCOPM provided more stable predictions compared with APACHE IVa within an external cohort of greater than 120,000 patients from two health systems with known changes in GCS documentation. CONCLUSIONS: These mortality risk models demonstrated excellent performance compared with APACHE while appearing to mitigate bias introduced through major shifts in GCS documentation at two large health systems. This provides evidence to support using automated capture rather than trained personnel for capture of GCS data used in benchmarking ICUs on mortality performance.

Rapid Implementation and Adaptation of a Telehospitalist Service to Coordinate and Optimize Care for COVID-19 Patients.

Background/Introduction: The COVID-19 pandemic poses enormous resource challenges to hospitals. Telemedicine is increasingly recognized as an attractive tool to alleviate resource strains. Herein we describe the rapid implementation and sequential process improvement (PI) of a centralized telehospitalist service to coordinate and optimize management of large number of COVID-19 patients in a tertiary and quaternary care hospital very close to the New York City epicenter. Methods: Prospective multidisciplinary PI meetings were held weekly between March 23 and May 10, 2020, and consensus service modifications were implemented for the following week. Inpatient census data, telehospitalist intervention volumes, and service utilization statistics were collected. Results/Discussion: Between March 23 and May 10, 2020, a total of 745 COVID-19 patients were admitted to the general medical wards. The telehospitalist service performed 1,136 audiovisual (AV) patient assessments, 379 best practice interventions, cohorted 108 patients, and conducted 170 remote family conversations. During the consecutive PI cycles, a number of adaptations in AV setup, care standardization, patient logistics, communication, and consultative functions were made to load balance the bedside hospitalist teams. As the COVID-19 hospital census increased to peak levels, the most value was added through facilitation of communication and collaboration between the bedside clinical teams, the infection prevention and control teams, and patient logistics team. Conclusions: A telehospitalist service can be rapidly implemented with basic telemedicine equipment. Processes/this functions can be sequentially adapted to quickly changing needs during conditions such as the COVID-19 pandemic that very quickly can place extraordinary strains on hospital resources.

Implementing and Optimizing Inpatient Access to Dermatology Consultations via Telemedicine: An Experiential Study.

Background/Introduction: In-house dermatology consultation services for hospitalized patients are not universally available in acute care hospitals. We encountered an unanticipated access gap for in-person dermatology consultations in our tertiary care hospital that routinely cares for complex high acuity patients with multiple comorbidities. To bridge this gap in specialist expertise in a timely manner, we expeditiously designed and implemented a telemedicine-supported inpatient dermatology consultation service. Methods: We conducted a retrospective review of 155 teledermatology consultations conducted between November 2017 and March 2019 as well as periodic prospective multidisciplinary process improvement meetings to optimize service-associated process maps and workflows. Results: Teledermatology consultations changed the working diagnosis of the primary team in 52.3% of cases and most commonly recommended medical management (61.9% of cases). In total 100% of patients accepted telemedicine support and rated their experience as positive. The first three periodic process improvement meetings led to significant improvements in teledermatology-related process maps and workflows. Discussion: Diagnostic concordance rates between the primary team and the teledermatologist were similar to those reported in the literature for in-person dermatology consultations. Important process improvements include establishing central responsibility of preparing and overseeing the consultation process, mandating the presence of a primary team representative during consultation and patient chart review by the teledermatologist before teleconsultation. Conclusion: Inpatient teledermatology consultation services can be instituted timely and continuously improved to reliably and effectively bridge access gaps, improve diagnostic accuracy and differentiate therapeutic approaches while maintaining patient satisfaction.

Acute Cerebrovascular Disorders and Vasculopathies Associated with Significant Mortality in SARS-CoV-2 Patients Admitted to The Intensive Care Unit in The New York Epicenter.

The current Coronavirus pandemic due to the novel SARS-Cov-2 virus has proven to have systemic and multi-organ involvement with high acuity neurological conditions including acute ischemic strokes. We present a case series of consecutive COVID-19 patients with cerebrovascular disease treated at our institution including 3 cases of cerebral artery dissection including subarachnoid hemorrhage. Knowledge of the varied presentations including dissections will help treating clinicians at the bedside monitor and manage these complications preemptively.

Evaluating Tele-ICU Implementation Based on Observed and Predicted ICU Mortality: A Systematic Review and Meta-Analysis.

OBJECTIVES: Past studies have examined numerous components of tele-ICU care to decipher which elements increase patient and institutional benefit. These factors include review of the patient chart within 1 hour, frequent collaborative data reviews, mechanisms for rapid laboratory/alert review, and interdisciplinary rounds. Previous meta-analyses have found an overall ICU mortality benefit implementing tele-ICU, however, subgroup analyses found few differences. The purpose of this systematic review and meta-analysis was to explore the effect of tele-ICU implementation with regard to ICU mortality and explore subgroup differences via observed and predicted mortality. DATA SOURCES: We searched PubMed, Cochrane Library, Embase, and European Society of Intensive Care Medicine for articles related to tele-ICU from inception to September 18, 2018. STUDY SELECTION: We included all trials meeting inclusion criteria which looked at the effect of tele-ICU implementation on ICU mortality. DATA EXTRACTION: We abstracted study characteristics, patient characteristics, severity of illness scores, and ICU mortality rates. DATA SYNTHESIS: We included 13 studies from 2,766 abstracts identified from our search strategy. The before-after tele-ICU implementation pooled odds ratio for overall ICU mortality was 0.75 (95% CI, 0.65-0.88; p < 0.001). In subgroup analysis, the pooled odds ratio for ICU mortality between the greater than 1 versus less than 1 observed to predicted mortality ratios was 0.64 (95% CI, 0.52-0.77; p < 0.001) and 0.98 (95% CI, 0.81-1.18; p = 0.81), respectively. Test for interaction was significant (p = 0.002). CONCLUSIONS: After evaluating all included studies, tele-ICU implementation was associated with an overall reduction in ICU mortality. Subgroup analysis suggests that publications exhibiting observed to predicted ICU mortality ratios of greater than 1 before tele-ICU implementation was associated with a reduction in ICU mortality after tele-ICU implementation. No significant ICU mortality reduction was noted in the subgroup of observed to predicted ICU mortality ratio less than 1 before tele-ICU implementation. Future studies should confirm this finding using patient-level data.

Machine Learning and Artificial Intelligence in Neurocritical Care: a Specialty-Wide Disruptive Transformation or a Strategy for Success.

PURPOSE OF REVIEW: Neurocritical care combines the complexity of both medical and surgical disease states with the inherent limitations of assessing patients with neurologic injury. Artificial intelligence (AI) has garnered interest in the basic management of these complicated patients as data collection becomes increasingly automated. RECENT FINDINGS: In this opinion article, we highlight the potential AI has in aiding the clinician in several aspects of neurocritical care, particularly in monitoring and managing intracranial pressure, seizures, hemodynamics, and ventilation. The model-based method and data-driven method are currently the two major AI methods for analyzing critical care data. Both are able to analyze the vast quantities of patient data that are accumulated in the neurocritical care unit. AI has the potential to reduce healthcare costs, minimize delays in patient management, and reduce medical errors. However, these systems are an aid to, not a replacement for, the clinician's judgment.

Telemedicine in the ICU: clinical outcomes, economic aspects, and trainee education.

PURPOSE OF REVIEW: The evidence base for telemedicine in the ICU (tele-ICU) is rapidly expanding. The last 2 years have seen important additions to our understanding of when, where, and how telemedicine in the ICU adds value. RECENT FINDINGS: Recent publications and a recent meta-analysis confirm that tele-ICU improves core clinical outcomes for ICU patients. Recent evidence further demonstrates that comprehensive tele-ICU programs have the potential to quickly recuperate their implementation and operational costs and significantly increase case volumes and direct contribution margins particularly if additional logistics and care standardization functions are embedded to optimize ICU bed utilization and reduce complications. Even though the adoption of tele-ICU is increasing and the vast majority of today's medical graduates will regularly use some form of telemedicine and/or tele-ICU, telemedicine modules have not consistently found their way into educational curricula yet. Tele-ICU can be used very effectively to standardize supervision of medical trainees in bedside procedures or point-of-care ultrasound exams, especially during off-hours. Lastly, tele-ICUs routinely generate rich operational data, as well as risk-adjusted acuity and outcome data across the spectrum of critically ill patients, which can be utilized to support important clinical research and quality improvement projects. SUMMARY: The value of tele-ICU to improve patient outcomes, optimize ICU bed utilization, increase financial performance and enhance educational opportunities for the next generation of providers has become more evident and differentiated in the last 2 years.

A model to create an efficient and equitable admission policy for patients arriving to the cardiothoracic ICU.

OBJECTIVE: To develop queuing and simulation-based models to understand the relationship between ICU bed availability and operating room schedule to maximize the use of critical care resources and minimize case cancellation while providing equity to patients and surgeons. DESIGN: Retrospective analysis of 6-month unit admission data from a cohort of cardiothoracic surgical patients, to create queuing and simulation-based models of ICU bed flow. Three different admission policies (current admission policy, shortest-processing-time policy, and a dynamic policy) were then analyzed using simulation models, representing 10 yr worth of potential admissions. Important output data consisted of the "average waiting time," a proxy for unit efficiency, and the "maximum waiting time," a surrogate for patient equity. SETTING: A cardiothoracic surgical ICU in a tertiary center in New York, NY. PATIENTS: Six hundred thirty consecutive cardiothoracic surgical patients admitted to the cardiothoracic surgical ICU. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Although the shortest-processing-time admission policy performs best in terms of unit efficiency (0.4612 days), it did so at expense of patient equity prolonging surgical waiting time by as much as 21 days. The current policy gives the greatest equity but causes inefficiency in unit bed-flow (0.5033 days). The dynamic policy performs at a level (0.4997 days) 8.3% below that of the shortest-processing-time in average waiting time; however, it balances this with greater patient equity (maximum waiting time could be shortened by 4 days compared to the current policy). CONCLUSIONS: Queuing theory and computer simulation can be used to model case flow through a cardiothoracic operating room and ICU. A dynamic admission policy that looks at current waiting time and expected ICU length of stay allows for increased equity between patients with only minimum losses of efficiency. This dynamic admission policy would seem to be a superior in maximizing case-flow. These results may be generalized to other surgical ICUs.

Isolated tricuspid valve surgery: predictors of adverse outcome and survival.

BACKGROUND: Isolated tricuspid valve surgery is a rare operation, for which outcomes are not well defined. We describe a single-centre experience with isolated tricuspid surgery, and an analysis of risk factors for adverse outcome and predictors of survival. METHODS: Retrospective analysis of 56 consecutive adult patients undergoing isolated tricuspid valve surgery between November 1998 and November 2010 was performed. RESULTS: Eight patients died in hospital (early mortality 14.2%). In comparison with tricuspid repair patients, tricuspid replacement patients required more intraoperative red cell blood transfusion (RBC>1 unit: p=0.033), platelet transfusion (p=0.051), and more postoperative ventilator support (p=0.023). Predictors of early (in hospital) mortality include advanced age (p=0.019) higher euroSCORE (p<0.001), transfusion of intraoperative red blood cells (p=0.005), and cryoprecipitate (p=0.014). Twenty-five patients (44.6%) reached the end-point of death. There was no statistical difference in early and late survival rates between repair and replacement groups. CONCLUSIONS: Patients with isolated tricuspid valve surgery continue to be a high-risk group in cardiac surgery with unacceptable operative mortality and limited survival. There were no statistical differences in early and late outcomes between the isolated tricuspid valve repair versus replacement surgery. Timely referral to surgery before the onset of class 3 heart failure, malnutrition, renal dysfunction and age>60 years is recommended.

A Large-Scale Multicenter Retrospective Study on Nephrotoxicity Associated With Empiric Broad-Spectrum Antibiotics in Critically Ill Patients.

BACKGROUND: Evidence regarding acute kidney injury associated with concomitant administration of vancomycin and piperacillin-tazobactam is conflicting, particularly in patients in the ICU. RESEARCH QUESTION: Does a difference exist in the association between commonly prescribed empiric antibiotics on ICU admission (vancomycin and piperacillin-tazobactam, vancomycin and cefepime, and vancomycin and meropenem) and acute kidney injury? STUDY DESIGN AND METHODS: This was a retrospective cohort study using data from the eICU Research Institute, which contains records for ICU stays between 2010 and 2015 across 335 hospitals. Patients were enrolled if they received vancomycin and piperacillin-tazobactam, vancomycin and cefepime, or vancomycin and meropenem exclusively. Patients initially admitted to the ED were included. Patients with hospital stay duration of < 1 h, receiving dialysis, or with missing data were excluded. Acute kidney injury was defined as Kidney Disease: Improving Global Outcomes stage 2 or 3 based on serum creatinine component. Propensity score matching was used to match patients in the control (vancomycin and meropenem or vancomycin and cefepime) and treatment (vancomycin and piperacillin-tazobactam) groups, and ORs were calculated. Sensitivity analyses were performed to study the effect of longer courses of combination therapy and patients with renal insufficiency on admission. RESULTS: Thirty-five thousand six hundred fifty-four patients met inclusion criteria (vancomycin and piperacillin-tazobactam, n = 27,459; vancomycin and cefepime, n = 6,371; vancomycin and meropenem, n = 1,824). Vancomycin and piperacillin-tazobactam was associated with a higher risk of acute kidney injury and initiation of dialysis when compared with that of both vancomycin and cefepime (Acute kidney injury: OR, 1.37 [95% CI, 1.25-1.49]; dialysis: OR, 1.28 [95% CI, 1.14-1.45]) and vancomycin and meropenem (Acute kidney injury: OR, 1.27 [95%, 1.06-1.52]; dialysis: OR, 1.56 [95% CI, 1.23-2.00]). The odds of acute kidney injury developing was especially pronounced in patients without renal insufficiency receiving a longer duration of vancomycin and piperacillin-tazobactam therapy compared with vancomycin and meropenem therapy. INTERPRETATION: VPT is associated with a higher risk of acute kidney injury than both vancomycin and cefepime and vancomycin and meropenem in patients in the ICU, especially for patients with normal initial kidney function requiring longer durations of therapy. Clinicians should consider vancomycin and meropenem or vancomycin and cefepime to reduce the risk of nephrotoxicity for patients in the ICU.

The economics of glycemic control in the ICU in the United States.

PURPOSE OF REVIEW: Currently the USA has an aging population, with increasing deficits and a healthcare system that most would agree is in need of repair. Finding ways to curtail costs is urgently needed. Attention to glycemic control and metabolic care offers a cost-effective method of treatment to reduce complications. RECENT FINDINGS: Healthcare-related expenses occupy an expanding portion of gross domestic product in the US and are a driver of the deficit. Despite all of this spending, the US receives average marks on outcomes and is not obtaining value in its healthcare. Any movements toward healthcare reform must focus on improving outcomes per healthcare dollar spent, and increasing value. The Affordable Care Act will place greater emphasis on preventing complications and reducing hospital-acquired infections. The original Leuven trial demonstrated that proper implementation of glycemic control can reduce morbidity and mortality. More recent studies have shown that there is a cost-benefit to glycemic control as well, through reduction of hospital stay and prevention of complications. On the basis of these changes, physicians who practice metabolic care and provide glycemic control are well positioned to add value in this era of healthcare reform. SUMMARY: Glycemic control is inherently valuable in the care of ICU patients as it decreases infectious complications, reduces lengths of stay, and has a positive effect on morbidity and mortality. Further studies should be completed to delineate the exact amount of cost-savings that can be obtained by proper implementation of glycemic control in the ICU.

Needs assessment for business strategies of anesthesiology groups' practices.

Progress has been made in understanding strategic decision making influencing anesthesia groups' operating room business practices. However, there has been little analysis of the remaining gaps in our knowledge. We performed a needs assessment to identify unsolved problems in anesthesia business strategy based on Porter's Five Forces Analysis. The methodology was a narrative literature review. We found little previous investigation for 2 of the 5 forces (threat of new entrants and bargaining power of suppliers), modest understanding for 1 force (threat of substitute products or services), and substantial understanding for 2 forces (bargaining power of customers and jockeying for position among current competitors). Additional research in strategic decisions influencing anesthesia groups should focus on the threat of new entrants, bargaining power of suppliers, and the threat of substitute products or services.

Adjuvant therapy with methylene blue in the treatment of right ventricular failure after pulmonary embolectomy.

Severe pulmonary embolism often leads to right ventricular failure after surgical embolectomy secondary to ischaemia reperfusion injury and acute lung injury (ALI). Acute right ventricular dysfunction is traditionally treated with inotropes and vasopressors to maintain cardiac output and coronary perfusion as well as selective pulmonary vasodilators to provide right ventricular afterload reduction. We report the first case of utilisation of methylene (MB) in a patient with acute right ventricular failure and vasoplegic shock after surgical pulmonary embolectomy.

ICU Telemedicine Implementation and Risk-Adjusted Mortality Differences Between Daytime and Nighttime Coverage.

BACKGROUND: ICU telemedicine augmentation has been associated with improvements in clinical and financial outcomes in many cases, but not all. Understanding this discrepancy is of interest given the clinical impact and intervention cost. A recent meta-analysis noted an association with mortality reduction and standardized mortality ratio (SMR) before ICU telemedicine implementation of > 1. RESEARCH QUESTION: Does ICU telemedicine implementation affect adjusted mortality outcomes? If so, in what context? STUDY DESIGN AND METHODS: We performed a retrospective pre-post analysis comparing before vs after ICU telemedicine implementation on the outcome of risk-adjusted ICU mortality during am vs pm admissions as well as other objective measures of ICU telemedicine involvement. RESULTS: One thousand five hundred eighty-one patient-stays and 14,584 patient-stays were available for analysis in the implementation period before vs after ICU telemedicine implementation, respectively. The average Acute Physiology and Chronic Health Evaluation (APACHE) IVa score was 46.6 vs 54.8 (P < .01) in the am group before ICU telemedicine implementation vs the am group after ICU telemedicine implementation, respectively. The average APACHE IVa score was 47.2 vs 56.3 (P < .01) in the pm group before ICU telemedicine implementation vs the pm group after ICU telemedicine implementation, respectively. Overall, the risk-adjusted ICU mortality was 8.7% before ICU telemedicine implementation vs 6.5% (P < .01) after implementation. When stratified by am and pm admission groups, no significant difference in risk-adjusted ICU mortality was seen in the am stratum. In the pm stratum, risk-adjusted mortality was 10.8% before ICU telemedicine implementation vs 7.0% (P < .01) after ICU telemedicine implementation. The preimplementation SMR in the am admission stratum was 0.95 vs 1.30 in the pm stratum. INTERPRETATION: We found a reduction in risk-adjusted ICU mortality with implementation of ICU telemedicine driven predominantly within the pm admission group. The pm admission SMR was 1.30, which may suggest an association with SMR of > 1 before ICU telemedicine implementation and mortality reduction. Future studies should seek to confirm this finding and should explore other important ICU telemedicine outcomes in the context of observed-to-expected ratios.

Critique of normoglycemia in intensive care evaluation: survival using glucose algorithm regulation (NICE-SUGAR)--a review of recent literature.

PURPOSE OF REVIEW: The publication of the long awaited results of the Normoglycaemia in Intensive Care Evaluation - Survival Using Glucose Algorithm Regulation (NICE-SUGAR) trial generated intense controversy in the area of glycemic control in the critically ill. NICE-SUGAR reported results in direct contrast to the original Leuven study and challenged the legitimacy of a mortality benefit of tight glycemic control in the intensive care unit (ICU). This review of the recent literature critically examines the salient differences between NICE-SUGAR and the original Leuven study. RECENT FINDINGS: Differences in glycemic targets within the control and intervention groups, variability with patients reaching these set targets, and the disparity in study execution and nutritional strategies are some of the methodological differences explaining the observed differences in mortality and morbidity between the two studies. The Leuven study should be viewed as a 'proof-of-concept' study with future studies aimed at confirming its finding and optimizing clinical algorithms to safely implement it in various 'real world' settings. Discrepancies in implementation and nutrition make direct comparison of NICE-SUGAR and the original Leuven study impracticable. SUMMARY: Accurate replication of the original Leuven methodology may be the limiting factor for achieving the benefits gained by intensive insulin therapy (IIT). Determination of ICU capability (physicians, nurses, standardization of equipment, etc.) is crucial to implementing tight glycemic targets. If IIT is not achievable due to adverse outcomes such as hypoglycemia, more lax and reachable glucose control should be sought.

Effects of Telemedicine ICU Intervention on Care Standardization and Patient Outcomes: An Observational Study.

OBJECTIVES: Given the numerous recent changes in ICU practices and protocols, we sought to confirm whether favorable effects of telemedicine ICU interventions on ICU mortality and length of stay can be replicated by a more recent telemedicine ICU intervention. DESIGN SETTING AND PATIENTS: Observational before-after telemedicine ICU intervention study in seven adult ICUs in two hospitals. The study included 1,403 patients in the preintervention period (October 2014 to September 2015) and 14,874 patients in the postintervention period (January 2016 to December 2018). INTERVENTION: Telemedicine ICU implementation. MEASUREMENTS AND MAIN RESULTS: ICU and hospital mortality and length of stay, best practice adherence rates, and telemedicine ICU performance metrics. Unadjusted ICU and hospital mortality and lengths of stay were not statistically significantly different. Adjustment for Acute Physiology and Chronic Health Evaluation Version IVa score, ICU type, and ICU admission time via logistic regression yielded significantly lower ICU and hospital mortality odds ratios of 0.58 (95% CI, 0.45-0.74) and 0.66 (95% CI, 0.54-0.80), respectively. When adjusting for acuity by comparing observed-over-expected length of stay ratios through Acute Physiology and Chronic Health Evaluation IVa methodology, we found significantly lower ICU and hospital length of stay in the postintervention group. ICU mortality improvements were driven by nighttime ICU admissions (odds ratio 0.45 [95% CI, 0.33-0.61]) as compared to daytime ICU admissions (odds ratio 0.81 [95% CI, 0.55-1.20]), whereas hospital mortality improvements were seen in both subgroups but more prominently in nighttime ICU admissions (odds ratio 0.57 [95% CI, 0.44-0.74]) as compared to daytime ICU admissions (odds ratio 0.73 [95% CI, 0.55-0.97]), suggesting that telemedicine ICU intervention can effectively supplement low intensity bedside staffing hours (nighttime). CONCLUSIONS: In this pre-post observational study, telemedicine ICU intervention was associated with improvements in care standardization and decreases in ICU and hospital mortality and length of stay. The mortality benefits were mediated in part through telemedicine ICU supplementation of low intensity bedside staffing hours.

Hyperglycemia in Medically Critically Ill Patients: Risk Factors and Clinical Outcomes.

BACKGROUND: We aimed to robustly categorize glycemic control in our medical intensive care unit (ICU) as either acceptable or suboptimal based on time-weighted daily blood glucose averages of <180 mg/dL or >180 mg/dL; identify clinical risk factors for suboptimal control; and compare clinical outcomes between the 2 glycemic control categories. METHODS: This was a retrospective cohort study in an academic tertiary and quaternary medical ICU. RESULTS: Out of total of 974 unit stays over a 2-year period, 920 had complete data sets available for analysis. Of unit stays 63% (575) were classified as having acceptable glycemic control and the remaining 37% were classified (345) as having suboptimal glycemic control. Adjusting for covariables, the odds of suboptimal glycemic control were highest for patients with diabetes mellitus (odds ratio [OR] 5.08, 95% confidence interval [CI] 3.72-6.93), corticosteroid use during the ICU stay (OR 4.50, 95% CI 3.21-6.32), and catecholamine infusions (OR 1.42, 95% CI 1.04-1.93). Adjusting for acuity, acceptable glycemic control was associated with decreased odds of hospital mortality but not ICU mortality (OR 0.65, 95% CI 0.48-0.88 and OR 0.81, 95% CI 0.55-1.17, respectively). Suboptimal glycemic control was associated with increased odds of longer-than-predicted ICU and hospital stays (OR 1.76, 95% CI 1.30-2.38 and OR 1.50, 95% CI 1.12-2.01, respectively). CONCLUSIONS: In our high-acuity medically critically ill patient population, achieving time-weighted average daily blood glucose levels <180 mg/dL reliably while in the ICU significantly decreased the odds of subsequent hospital mortality. Suboptimal glycemic control during the ICU stay, on the other hand, significantly increased the odds of longer-than-predicted ICU and hospital stay.

Global health, global surgery and mass casualties: II. Mass casualty centre resources, equipment and implementation.

Trauma/stroke centres optimise acute 24/7/365 surgical/critical care in high-income countries (HICs). Concepts from low-income and middle-income countries (LMICs) offer additional cost-effective healthcare strategies for limited-resource settings when combined with the trauma/stroke centre concept. Mass casualty centres (MCCs) integrate resources for both routine and emergency care-from prevention to acute care to rehabilitation. Integration of the various healthcare systems-governmental, non-governmental and military-is key to avoid both duplication and gaps. With input from LMIC and HIC personnel of various backgrounds-trauma and subspecialty surgery, nursing, information technology and telemedicine, and healthcare administration-creative solutions to the challenges of expanding care (both daily and disaster) are developed. MCCs are evolving initially in Chile and Pakistan. Technologies for cost-effective healthcare in LMICs include smartphone apps (enhance prehospital care) to electronic data collection and analysis (quality improvement) to telemedicine and drones/robots (support of remote regions and resource optimisation during both daily care and disasters) to resilient, mobile medical/surgical facilities (eg, battery-operated CT scanners). The co-ordination of personnel (within LMICs, and between LMICs and HICs) and the integration of cost-effective advanced technology are features of MCCs. Providing quality, cost-effective care 24/7/365 to the 5 billion who lack it presently makes MCCs an appealing means to achieve the healthcare-related United Nations Sustainable Development Goals for 2030.