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BackgroundGlycemic control is crucial for reducing morbidity and mortality in critically ill patients. A standardized approach to glycemic control using a computer-guided protocol may help maintain blood glucose level within a target range and prevent human-induced medical errors.ObjectiveTo determine the effectiveness of a computer-guided glucose management protocol for glycemic control in intensive care patients.MethodsThis controlled, open-label implementation study involved 66 intensive care patients: 33 in the intervention group and 33 in the control group. The blood glucose level target range was established as 120 to 180 mg/dL. The control group received the clinic’s routine glycemic monitoring approach, and the intervention group received monitoring using newly developed glycemic control software. At the end of the study, nurse perceptions and satisfaction were determined using a questionnaire.ResultsThe rates of hyperglycemia and hypoglycemia were lower and the blood glucose level was more successfully maintained in the target range in the intervention group than in the control group (P < .001). The time to achieve the target range was shorter and less insulin was used in the intervention group than in the control group (P < .05). Nurses reported higher levels of satisfaction with the computerized protocol, which they found to be more effective and reliable than routine clinical practice.ConclusionsThe computerized protocol was more effective than routine clinical practice in achieving glycemic control. It was also associated with higher nurse satisfaction levels.

Supplemental Digital Content is available in the text., Objectives: To develop and verify a digital twin model of critically ill patient using the causal artificial intelligence approach to predict the response to specific treatment during the first 24 hours of sepsis. Design: Directed acyclic graphs were used to define explicitly the causal relationship among organ systems and specific treatments used. A hybrid approach of agent-based modeling, discrete-event simulation, and Bayesian network was used to simulate treatment effect across multiple stages and interactions of major organ systems (cardiovascular, neurologic, renal, respiratory, gastrointestinal, inflammatory, and hematology). Organ systems were visualized using relevant clinical markers. The application was iteratively revised and debugged by clinical experts and engineers. Agreement statistics was used to test the performance of the model by comparing the observed patient response versus the expected response (primary and secondary) predicted by digital twin. Setting: Medical ICU of a large quaternary- care academic medical center in the United States. Patients or Subjects: Adult (> 18 year yr old), medical ICU patients were included in the study. Interventions: No additional interventions were made beyond the standard of care for this study. Measurements and Main Results: During the verification phase, model performance was prospectively tested on 145 observations in a convenience sample of 29 patients. Median age was 60 years (54–66 d) with a median Sequential Organ Failure Assessment score of 9.5 (interquartile range, 5.0–14.0). The most common source of sepsis was pneumonia, followed by hepatobiliary. The observations were made during the first 24 hours of the ICU admission with one-step interventions, comparing the output in the digital twin with the real patient response. The agreement between the observed versus and the expected response ranged from fair (kappa coefficient of 0.41) for primary response to good (kappa coefficient of 0.65) for secondary response to the intervention. The most common error detected was coding error in 50 observations (35%), followed by expert rule error in 29 observations (20%) and timing error in seven observations (5%). Conclusions: We confirmed the feasibility of development and prospective testing of causal artificial intelligence model to predict the response to treatment in early stages of critical illness. The availability of qualitative and quantitative data and a relatively short turnaround time makes the ICU an ideal environment for development and testing of digital twin patient models. An accurate digital twin model will allow the effect of an intervention to be tested in a virtual environment prior to use on real patients.

BackgroundMorton's neuroma is a perineural fibrosis of an intermetatarsal plantar nerve. Burning, numbness, paresthesia, and tingling down the interspaces of involved toes may also be experienced. Taking into account all of this information, we designed a prospective open-label study to evaluate the efficacy of pulsed radio frequency on Morton's neuroma.MethodsTwenty patients with Morton's neuroma were experiencing symptomatic neuroma pain in the foot not relieved by routine conservative treatment. All of the patients had been evaluated by a specialized orthopedist and were offered pulsed radio frequency as a last option before having surgery. Initially, pain level (numerical rating scale), successful pain control (a ≥50% pain decrease was accepted as successful pain control), comfort when walking (yes or no), and satisfaction level (satisfied or not satisfied) were evaluated.ResultsWe found a decrease in the pain level in 18 of 20 patients, successful pain control in 12, and wearing shoes and walking without pain in 16. Overall, satisfaction was rated as excellent or good by 12 patients with Morton's neuroma in this series.ConclusionsThis evidence indicates that ultrasound-guided pulsed radio frequency is a promising treatment modality in the management of Morton's neuroma pain.

Background Inefficient processes of care delivery during acute resuscitation can compromise the “Golden Hour,” the time when quick interventions can rapidly determine the course of the patient’s outcome. Checklists have been shown to be an effective tool for standardizing care models. We developed a novel electronic tool, the Checklist for Early Recognition and Treatment of Acute Illness (CERTAIN) to facilitate standardized evaluation and treatment approach for acutely decompensating patients. The checklist was enforced by the use of a “prompter,” a team member separate from the leader who records and reviews pertinent CERTAIN algorithms and verbalizes these to the team. Our hypothesis was that the CERTAIN model, with the use of the tool and a prompter, can improve clinician performance and satisfaction in the evaluation of acute decompensating patients in a simulated environment. Methods Volunteer clinicians with valid adult cardiac life support (ACLS) certification were invited to test the CERTAIN model in a high-fidelity simulation center. The first session was used to establish a baseline evaluation in a standard clinical resuscitation scenario. Each subject then underwent online training before returning to a simulation center for a live didactic lecture, software knowledge assessment, and practice scenarios. Each subject was then evaluated on a scenario with a similar content to the baseline. All subjects took a post-experience satisfaction survey. Video recordings of the pre-and post-test sessions were evaluated using a validated method by two blinded reviewers. Results Eighteen clinicians completed baseline and post-education sessions. CERTAIN prompting was associated with reduced omissions of critical tasks (46 to 32%, p

Snapshot of CERTAIN tool. (DOCX 122Â kb)

Structure of the study design. (DOCX 46Â kb)

Satisfaction survey: a post-CERTAIN survey. (DOCX 33Â kb)

Recent changes in critical care delivery, including the widespread implementation of health-care bundles, were aimed at reducing complications of critical illness, in particular ventilator-associated pneumonia (VAP), but no population-based study evaluated its effectiveness.Using a previously validated electronic medical record database, we identified adult (≥ 18 years old) critically ill patients from Olmsted County, Minnesota, requiring mechanical ventilation for ≥ 48 h from January 2003 to December 2009. Trained intensivists identified cases of VAP according to different established clinical definitions. The incidence and outcome of VAP was compared before and after implementation of the so-called "VAP bundle."The median age, severity of illness, proportion of surgical patients, and patients with neurologic disease increased over time (Plt; .05 for trend in all). Regardless of the definition used, the VAP rate remained similar throughout the study period and did not change with the introduction of the VAP bundle. According to previous Centers for Disease Control and Prevention criteria, the yearly estimates of the VAP incidence ranged between 7.1 and 10.4 cases per 1,000 ventilator-days, with an age-adjusted incidence of 3.1 vs 5.6 per 100,000 population (P = .54 for trends). Standardized hospital mortality ratio of patients at high risk to develop VAP significantly decreased from 1.7 (95% CI, 0.8-3.0) to 0.7 (95% CI, 0.3-1.4; P = .0003 for trend).The incidence of VAP was unaffected by the implementation of the VAP bundle. Secular changes in hospital mortality are unlikely to be attributed to the VAP bundle per se.

To evaluate the quality of care that is provided in intensive care units, needs and satisfaction of the patient relatives must also be considered. The aim of the study is to test the Turkish version of the Family Satisfaction in the Intensive Care Unit (FS-ICU-24) Survey, which was developed by Heyland et al. This study was planned and applied as a methodological study. Survey was conducted in the intensive care units of a military education and research hospital and a medical faculty hospital, department of anaesthesia and reanimation in the capital city Ankara of Turkey. Sample of the survey was composed of 120 participants. Cronbach's alpha value for the FS-ICU-24 general internal consistency in this study was calculated as 0.95 for total scale. In this study, the Turkish version of the FS-ICU-24 was found to be reliable and valid with Turkish population.

Background: In this study we aimed to compare the effects of leaving the perichondrial sheaths open, closing the sheaths reciprocally, and leaving the resected cartilages in the perichondrial bed as small autologous grafts to clarify the effect of perichondrium left intact within the donor site on costal cartilage regeneration.

Example of Syndrome Card. (DOCX 21 kb)

Background Critical illness is a time-sensitive process which requires practitioners to process vast quantities of data and make decisions rapidly. We have developed a tool, the Checklist for Early Recognition and Treatment of Acute Illness (CERTAIN), aimed at enhancing care delivery in such situations. To determine the efficacy of CERTAIN and similar cognitive aids, we developed rubric for evaluating provider performance in a simulated medical resuscitation environments. Methods We recruited 18 clinicians with current valid ACLS certification for evaluation in three simulated medical scenarios designed to mimic typical medical decompensation events routinely experienced in clinical care. Subjects were stratified as experienced or novice based on prior critical care training. A checklist of critical actions was designed using face validity for each scenario to evaluate task completion and performance. Simulation sessions were video recorded and scored by two independent raters. Construct validity was assessed under the assumption that experienced clinicians should perform better than novice clinicians on each task. Reliability was assessed as percentage agreement, kappa statistics and Bland-Altman plots as appropriate. Results Eleven experts and seven novices completed evaluation. The overall agreement on common checklist item completion was 84.8 %. The overall model achieved face validity and was consistent with our construct, with experienced clinicians trending towards better performance compared to novices for accuracy and speed of task completion. Conclusions A standardized video assessment tool has potential to provide a valid and reliable method to assess 12 performances of clinicians facing simulated medical emergencies. Electronic supplementary material The online version of this article (doi:10.1186/s12873-015-0066-x) contains supplementary material, which is available to authorized users.

Overview of customized content management system (for details see Table 2). (PDF 68 kb)

Example of Medication Card. (DOCX 19 kb)

Electronic Supplement: Additional tables. (DOCX 22Â kb)

Example of Procedure Card. (DOCX 19 kb)

Card Production Process. After cards are created they undergo iterative cycles of review and content modification. Once finalized and proofed, they are published across the different CERTAIN platforms. Updates, starting the process essentially from the beginning, are performed annually and on an as needed basis. (PDF 181 kb)

Translation Process. (DOCX 424 kb)

Dear Editor, We read the article “Factors associated with severe postoperative pain in patients with total hip arthroplasty” written by Petrovic et al. with great interest.[1] In this study, they aimed to determine risk factors for the development of postoperative pain following total hip arthroplasty. We would like to thank the authors for their contribution, with a successfully designed and documented study. We believe that these findings will enlighten further studies regarding risk factors for the development of postoperative pain following total hip arthroplasty. Total hip arthroplasty is a common orthopedic procedure, and postoperative pain is one of the most common concerns of patients undergoing total hip arthroplasty.[2] As underlined by the authors, many risk factors may influence the severity of pain after total hip arthroplasty. However, we realized that 2 important factors are not included in the list as risk factors: 1. Anesthetic technique—The intensity of postoperative pain is found to be less severe following regional techniques like spinal or epidural blocks[3] when compared to general anesthetic technique.[4–6] 2. Intraoperative analgesic use—In particular, preemptive analgesia is found to be an effective method in terms of reducing postoperative pain.[7] To summarize, we believe that anesthetic technique and intraoperative use of analgesics should be included in the list of risk factors for the development of postoperative pain following total hip arthroplasty. DOI: 10.3944/AOTT.2015.15.0151 This abstract belongs to the un-edited version of the article and is only for informative purposes. Published version may differ from the current version.

Objectives AWARE (Ambient Warning and Response Evaluation) is a novel electronic medical record (EMR) dashboard designed by clinicians to support bedside clinical information management in the ICU. AWARE sits on top of pre-existing, comprehensive EMR systems. The purpose of the study was to test the acceptance and impact of AWARE on data management in live clinical ICU settings. The primary outcome measure was observed efficiency of data utilization as determined by time spent in data gathering before morning rounds. Design Step wedge cluster randomization trial. Setting Four ICUs (surgical, medical, and mixed) at an academic referral center. Subjects All members of the critical care team participating in morning ICU rounds. Intervention Pilot implementation of a novel EMR interface with direct observation and survey. Measurements and main results The study took place between April and July 2012. A total of 80 and 63 direct observations were made in the pre- and post-implementation study periods respectively. The time spent on pre-round data gathering per patient decreased from 12 (10–15) to 9 (7.3–11) min for pre- and post-implementation phases respectively (p = 0.03). Compared to the existing EMR, information management (data presentation format, efficiency of data access) was reported to be better after AWARE implementation. AWARE made the task of gathering data for rounds significantly less difficult and mentally demanding. Conclusions The introduction of a novel, patient-centered EMR viewer for the ICU was associated with improved efficiency and ease of clinical data management compared to the standard EMR.

Background: Timely and appropriate care is the key to achieving good outcomes in acutely ill patients, but the effectiveness of critical care may be limited in resource-limited settings.Objectives: This study sought to understand how to implement best practices in intensive care units (ICU) in low- and middle-income countries (LMIC) and to develop a point-of-care training and decision-support tool.Methods: An internationally representative group of clinicians performed a 22-item capacity-and-needs assessment survey in a convenience sample of 13 ICU in Eastern Europe (4), Asia (4), Latin America (3), and Africa (2), between April and July 2012. Two ICU were from low-income, 2 from low-middle-income, and 9 from upper-middle-income countries. Clinician respondents were asked about bed capacity, patient characteristics, human resources, available medications and equipment, access to education, and processes of care.Results: Thirteen clinicians from each of 13 hospitals (1 per ICU) responded. Surveyed hospitals had median of 560 (interquartile range [IQR]: 232, 1,200) beds. ICU had a median of 9 (IQR: 7, 12) beds and treated 40 (IQR: 20, 67) patients per month. Many ICU had 1 staff member with some formal critical care training (n = 9, 69%) or who completed Fundamental Critical Care Support (n = 7, 54%) or Advanced Cardiac Life Support (n = 9, 69%) courses. Only 2 ICU (15%) used any kind of checklists for acute resuscitation. Ten (77%) ICU listed lack of trained staff as the most important barrier to improving the care and outcomes of critically ill patients.Conclusions: In a convenience sample of 13 ICU from LMIC, specialty-trained staff and standardized processes of care such as checklists are frequently lacking. ICU needs-assessment evaluations should be expanded in LMIC as a global priority, with the goal of creating and evaluating context-appropriate checklists for ICU best practices.HighlightsIn intensive care units from low- and middle-income countries, trained staff and processes of care such as checklists are frequently lacking even as access to intensive care unit resources is reasonable.A better understanding of existing intensive care units' capacity and evaluation of interventions to bring context-appropriate best practices to the bedside of critically ill patients should be a global priority.

Background Traditional electronic medical record (EMR) interfaces mark laboratory tests as abnormal based on standard reference ranges derived from healthy, middle-aged adults. This yields many false positive alerts with subsequent alert-fatigue when applied to complex populations like hospitalized, critically ill patients. Novel EMR interfaces using adjusted reference ranges customized for specific patient populations may ameliorate this problem. Objective To compare accuracy of abnormal laboratory value indicators in a novel vs traditional EMR interface. Methods Laboratory data from intensive care unit (ICU) patients consecutively admitted during a two-day period were recorded. For each patient, available laboratory results and the problem list were sent to two mutually blinded critical care experts, who marked the values about which they would like to be alerted. All disagreements were resolved by an independent super-reviewer. Based on this gold standard, we calculated and compared the sensitivity, specificity, positive and negative predictive values (PPV, NPV) of customized vs traditional abnormal value indicators. Results Thirty seven patients with a total of 1341 laboratory results were included. Experts’ agreement was fair (kappa = 0.39). Compared to the traditional EMR, custom abnormal laboratory value indicators had similar sensitivity (77% vs 85%, P = 0.22) and NPV (97.1% vs 98.6%, P = 0.06) but higher specificity (79% vs 61%, P

Well-known global health priorities (malaria, pneumonia, sepsis, diarrhea, human immunodeficiency virus [HIV], tuberculosis, trauma), although very different threats to an individual’s health, share a common consequence: Development of acute, life-threatening illness. In the developed world, such illness is routinely treated in an intensive care unit (ICU) by highly specialized physicians, nurses and support staff. This model of intensive care is spreading rapidly to low and middle income countries and as it spreads, challenges and limitations to this model arise [1].

Introduction The most appropriate tidal volume in patients without acute respiratory distress syndrome (ARDS) is controversial and has not been rigorously examined. Our objective was to determine whether a mechanical ventilation strategy using lower tidal volume is associated with a decreased incidence of progression to ARDS when compared with a higher tidal volume strategy. Methods A systematic search of MEDLINE, EMBASE, CINAHL, the Cochrane Library, conference proceedings, and clinical trial registration was performed with a comprehensive strategy. Studies providing information on mechanically ventilated patients without ARDS at the time of initiation of mechanical ventilation, and in which tidal volume was independently studied as a predictor variable for outcome, were included. The primary outcome was progression to ARDS. Results The search yielded 1,704 studies, of which 13 were included in the final analysis. One randomized controlled trial was found; the remaining 12 studies were observational. The patient cohorts were significantly heterogeneous in composition and baseline risk for developing ARDS; therefore, a meta-analysis of the data was not performed. The majority of the studies (n = 8) showed a decrease in progression to ARDS with a lower tidal volume strategy. ARDS developed early in the course of illness (5 hours to 3.7 days). The development of ARDS was associated with increased mortality, lengths of stay, mechanical ventilation duration, and nonpulmonary organ failure. Conclusions In mechanically ventilated patients without ARDS at the time of endotracheal intubation, the majority of data favors lower tidal volume to reduce progression to ARDS. However, due to significant heterogeneity in the data, no definitive recommendations can be made. Further randomized controlled trials examining the role of lower tidal volumes in patients without ARDS, controlling for ARDS risk, are needed. 2013 Fuller et al.; licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Kyphoplasty is a minimally invasive procedure that is increasingly used to treat pain caused by compression fractures of vertebral bodies. A 56-year-old woman who had a compression fracture on the vertebral body of L5 vertebra was admitted to the Algology Department with a severe low back and leg pain. Kyphoplasty was planned for pain relief. She suffered severe pain in her back and left leg immediately after the procedure because of a leakage of injected cement through the fracture line. After injection of triamcinolone and bupivacaine transforaminally into the L5-S1 anterior epidural space, her pain complaints ended. If radicular pain symptoms caused by cement leakage are secondary to a chemically mediated non-cellular inflammatory reaction, transforaminal epidural steroid injection should be useful.

Introduction: Point-of-care decision support is best presented in the form of checklists or algorithms containing brief prioritized information. While this approach has been widespread in operating room settings, it is lacking in other acute care environments. Assessing information needs at the poin

Processes to ensure world-wide best-practice for critical care delivery are likely to minimize preventable death, disability and costly complications for any healthcare system's sickest patients, but no large-scale efforts have so far been undertaken towards these goals. The advances in medical informatics and human factors engineering have provided possibility for novel and user-friendly clinical decision support tools that can be applied in a complex and busy hospital setting. To facilitate timely and accurate best-practice delivery in critically ill patients international group of intensive care unit (ICU) physicians and researchers developed a simple decision support tool: Checklist for Early Recognition and Treatment of Acute Illness (CERTAIN). The tool has been refined and tested in high fidelity simulated clinical environment and has been shown to improve performance of clinical providers faced with simulated emergencies. The aim of this international educational intervention is to implement CERTAIN into clinical practice in hospital settings with variable resources (included those in low income countries) and evaluate the impact of the tool on the care processes and patient outcomes. To accomplish our aims, CERTAIN will be uniformly available on either mobile or fixed computing devices (as well as a backup paper version) and applied in a standardized manner in the ICUs of diverse hospitals. To ensure the effectiveness of the proposed intervention, access to CERTAIN is coupled with structured training of bedside ICU providers.