Satid Thammasitboon

Acute discontinuation syndrome from dexmedetomidine after protracted use in a pediatric patient

X-ray. The child was stable throughout the procedure and the block was fully effective with hourly supplements of 0.2 mlÆkg of the same local anesthetic mixture during the surgery. In PACU, a continuous infusion of 0.2 mlÆkgÆh of levobupivacaine 0.125% with clonidine 1 lgÆml was started via an elastomeric pump (Infusor LV ; 2 Baxter, Paris, France) connected to the bacterial filter of the perineural catheter. At breakfast, 48 h later, the parents and the staff noticed signs of a right Horner’s syndrome though he looked fit and was playing (Figure 1). Immediately, the levobupivacaine infusion was stopped and the paravertebral catheter withdrawn. The Horner’s symptoms improved progressively over the next 4 h and completely disappeared. Acetaminophen and nalbuphine were required as rescue analgesia for the two following days without any other complication and he was discharged home on the fourth postoperative day. Transient unilateral Horner’s syndrome has been reported in PACU after upper extrapleural paravertebral analgesic block in a young infant with a catheter inserted under direct vision by the surgeon at thoracotomy (2). Turco and Faber (3), and more recently Burlacu and Buggy (4) showed that a pharmacological sympathetic denervation might result from the paravertebral spread of local anesthetic agent to the ipsilaterate stellate ganglion or preganglionic fibers originating from the first three segments of the thoracic spinal cord. To the best of our knowledge, this is the first report of a late Horner’s syndrome occurring during continuous postoperative subendothoracic paravertebral analgesia. The etiology of this remains unclear. Though the migration of a catheter after documented correct placement has not been described this remains a theoretical possibility. Horner’s syndrome remains an uncommon complication, but is transient and disappears after stopping local anesthetic infusion and requires only explanation and reassurance. It contrasts with the Pourfour-Du Petit’s syndrome which is said to be irreversible. Hugues Ludot* François Olivier Ponson* Mohamed Belouadah** *Pediatric Anesthesia and **Department of Pediatric, American Memorial Hospital, F51092 France (email: hludot@chu-neims.fr)

Diagnostic Decision-Making and Strategies to Improve Diagnosis

A significant portion of diagnostic errors arises through cognitive errors resulting from inadequate knowledge, faulty data gathering, and/or faulty verification. Experts estimate that 75% of diagnostic failures can be attributed to clinician diagnostic thinking failure. The cognitive processes that underlie diagnostic thinking of clinicians are complex and intriguing, and it is imperative that clinicians acquire explicit appreciation and application of different cognitive approaches to make decisions better. A dual-process model that unifies many theories of decision-making has emerged as a promising template for understanding how clinicians think and judge efficiently in a diagnostic reasoning process. The identification and implementation of strategies for decreasing or preventing such diagnostic errors has become a growing area of interest and research. Suggested strategies to decrease diagnostic error incidence include increasing clinicians clinical expertise and avoiding inherent cognitive errors to make decisions better. Implementing Interventions focused solely on avoiding errors may work effectively for patient safety issues such as medication errors. Addressing cognitive errors, however, requires equal effort on expanding the individual clinicians expertise. Providing cognitive support to clinicians for robust diagnostic decision-making serves as the final strategic target for decreasing diagnostic errors. Clinical guidelines and algorithms offer another method for streamlining decision-making and decreasing likelihood of cognitive diagnostic errors. Addressing cognitive processing errors is undeniably the most challenging task in reducing diagnostic errors. While many suggested approaches exist, they are mostly based on theories and sciences in cognitive psychology, decision-making, and education. The proposed interventions are primarily suggestions and very few of them have been tested in the actual practice settings. Collaborative research effort is required to effectively address cognitive processing errors. Researchers in various areas, including patient safety/quality improvement, decision-making, and problem solving, must work together to make medical diagnosis more reliable.

Diagnosing Diagnostic Error

Diagnostic errors are the most common errors in primary care. Diagnostic errors have been found to be the leading cause of malpractice litigation, accounting for twice as many claims and settled cases as medication errors. Diagnostic error is common, harmful, costly, and very critical to the patient-safety issues in health care. Diagnostic errors have received relatively little attention, however. Of what is known, diagnostic errors are an important source of preventable harm. Focused research in this area is highly needed because the causes of diagnostic errors are subtle and solutions are less obvious than for other types of errors. As opposed to medication errors, where the factors predisposing to their occurrence and the resultant preventive strategies are better defined, the relationship between factors influencing the diagnostic reasoning or decision making and a diagnostic error are not as clear. This may include any failure in timely access to care; elicitation or interpretation of symptoms, signs, or laboratory results, formulation and weighing of differential diagnosis; and timely follow-up and specialty referral or evaluation. The literature reveals that diagnostic errors are often caused by the combination of cognitive errors and system failure. Increased understanding about diagnostic decision making, sources of errors, and applying some existing strategies into clinical practice would help clinicians reduce these types of errors and encourage more optimal diagnostic processes.

The Centers for Disease Control and Prevention's New Definitions for Complications of Mechanical Ventilation Shift the Focus of Quality Surveillance and Predict Clinical Outcomes in a PICU.

Objectives: The Centers for Disease Control and Prevention shifted the focus of surveillance paradigm for adult patients receiving mechanical ventilation, moving from the current standard of ventilator-associated pneumonia to broader complications. The surveillance definitions were designed to enable objective measures and efficient processes, so as to facilitate quality improvement initiatives and enhance standardized benchmark comparisons. We evaluated the surveillance definitions in term of their ability to predict clinical outcomes and ease of surveillance in a PICU. Design: Retrospective cohort study. Setting: A PICU at a university-affiliated children’s hospital. Patients: Eight hundred thirty-six patients receiving mechanical ventilation over 1-year period. Interventions: None. Measurements and Main Results: We applied the definition for ventilator-associated condition (i.e., a sustained increase in ventilator setting after a period of stable or decreasing support) to our database. Of total 606 patients, 14.5% had ventilator-associated condition (20.9/1,000 ventilator days) and 8.1% had an infection-related ventilator-associated condition (12.9/1,000 ventilator days). The patients with infection-related ventilator-associated condition were classified into probable pneumonia (55%), possible pneumonia (28.6%), and undetermined infection (16.3%). A large portion of patients with ventilator-associated condition (44%) had other noninfectious etiologies (e.g., atelectasis, pulmonary edema, and shock). Patients who developed ventilator-associated condition had significantly longer ventilatory, ICU, and hospital days compared with those who did not. The ventilator-associated condition group had increased hospital mortality compared with the non–ventilator-associated condition group (19.3% vs 6.9%; p = 0.0007). Multivariate regression analysis identified ventilator-associated condition as one of the predictors of hospital mortality with an adjusted odds ratio of 2.14 (95% CI, 1.03–4.42). Risk factors for developing a ventilator-associated condition included immunocompromised status (odds ratio, 2.90; 95% CI, 1.57–5.33), tracheostomy dependence (odds ratio, 2.78; 95% CI, 1.40–5.51), and chronic respiratory disease (odds ratio, 1.85; 95% CI, 1.03–3.3). Conclusions: The definitions for the various ventilator-associated conditions are good predictors of outcomes in children and adults and are amenable to automated surveillance. Based on the study findings, we suggest consideration for shifting the focus of surveillance for ventilator-associated events from only pneumonia to a broader range of complications.

Predicting Hospitalised Paediatric Pneumonia Mortality Risk: An External Validation of RISC and mRISC, and Local Tool Development (RISC-Malawi) from Malawi

Background Pneumonia is the leading infectious cause of under-5 mortality in sub-Saharan Africa. Clinical prediction tools may aide case classification, triage, and allocation of hospital resources. We performed an external validation of two published prediction tools and compared this to a locally developed tool to identify children admitted with pneumonia at increased risk for in-hospital mortality in Malawi. Methods We retrospectively analyzed the performance of the Respiratory Index of Severity in Children (RISC) and modified RISC (mRISC) scores in a child pneumonia dataset prospectively collected during routine care at seven hospitals in Malawi between 2011–2014. RISC has both an HIV-infected and HIV-uninfected tool. A local score (RISC-Malawi) was developed using multivariable logistic regression with missing data multiply imputed using chained equations. Score performances were assessed using c-statistics, sensitivity, specificity, positive predictive value, negative predictive value, and likelihood statistics. Results 16,475 in-patient pneumonia episodes were recorded (case-fatality rate (CFR): 3.2%), 9,533 with complete data (CFR: 2.0%). The c-statistic for the RISC (HIV-uninfected) score, used to assess its ability to differentiate between children who survived to discharge and those that died, was 0.72. The RISC-Malawi score, using mid-upper arm circumference as an indicator of malnutrition severity, had a c-statistic of 0.79. We were unable to perform a comprehensive external validation of RISC (HIV-infected) and mRISC as both scores include parameters that were not routinely documented variables in our dataset. Conclusion In our population of Malawian children with WHO-defined pneumonia, the RISC (HIV-uninfected) score identified those at high risk for in-hospital mortality. However the refinement of parameters and resultant creation of RISC-Malawi improved performance. Next steps include prospectively studying both scores to determine if incorporation into routine care delivery can have a meaningful impact on in-hospital CFRs of children with WHO-defined pneumonia.

Finding Diagnostic Errors in Children Admitted to the PICU.

Objectives: To determine whether the Safer Dx Instrument, a structured tool for finding diagnostic errors in primary care, can be used to reliably detect diagnostic errors in patients admitted to a PICU. Design and Setting: The Safer Dx Instrument consists of 11 questions to evaluate the diagnostic process and a final question to determine if diagnostic error occurred. We used the instrument to analyze four “high-risk” patient cohorts admitted to the PICU between June 2013 and December 2013. Patients: High-risk cohorts were defined as cohort 1: patients who were autopsied; cohort 2: patients seen as outpatients within 2 weeks prior to PICU admission; cohort 3: patients transferred to PICU unexpectedly from an acute care floor after a rapid response and requiring vasoactive medications and/or endotracheal intubation due to decompensation within 24 hours; and cohort 4: patients transferred to PICU unexpectedly from an acute care floor after a rapid response without subsequent decompensation in 24 hours. Interventions: Two clinicians used the instrument to independently review records in each cohort for diagnostic errors, defined as missed opportunities to make a correct or timely diagnosis. Errors were confirmed by senior expert clinicians. Measurements and Main Results: Diagnostic errors were present in 26 of 214 high-risk patient records (12.1%; 95% CI, 8.2–17.5%) with the following frequency distribution: cohort 1: two of 16 (12.5%); cohort 2: one of 41 (2.4%); cohort 3: 13 of 44 (29.5%); and cohort 4: 10 of 113 (8.8%). Overall initial reviewer agreement was 93.6% (&kgr;, 0.72). Infections and neurologic conditions were the most commonly missed diagnoses across all high-risk cohorts (16/26). Conclusions: The Safer Dx Instrument has high reliability and validity for diagnostic error detection when used in high-risk pediatric care settings. With further validation in additional clinical settings, it could be useful to enhance learning and feedback about diagnostic safety in children.

System-Related Factors Contributing to Diagnostic Errors

Several studies in primary care, internal medicine, and emergency departments show that rates of errors in test requests and result interpretations are unacceptably high and translate into missed, delayed, or erroneous diagnoses. Ineffective follow-up of diagnostic test results could lead to patient harm if appropriate therapeutic interventions are not delivered in a timely manner. The frequency of system-related factors that contribute directly to diagnostic errors depends on the types and sources of errors involved. Recent studies reveal that the errors and patient harm in the diagnostic testing loop have occurred mainly at the pre- and post-analytic phases, which are directed primarily by clinicians who may have limited expertise in the rapidly expanding field of clinical pathology. These errors may include inappropriate test requests, failure/delay in receiving results, and erroneous interpretation and application of test results to patient care. Efforts to address system-related factors often focus on technical errors in laboratory testing or failures in delivery of intended treatment. System-improvement strategies related to diagnostic errors tend to focus on technical aspects of laboratory medicine or delivery of treatment after completion of the diagnostic process. System failures and cognitive errors, more often than not, coexist and together contribute to the incidents of errors in diagnostic process and in laboratory testing. The use of highly structured hand-off procedures and pre-planned follow-up for any diagnostic test could improve efficiency and reliability of the follow-up process. Many feedback pathways should be established so that providers can learn if or when a diagnosis is changed. Patients can participate in the effort to reduce diagnostic errors. Providers should educate their patients about diagnostic probabilities and uncertainties. The patient-safety strategies focusing on the interface between diagnostic system and therapeutic intervention are strategies that involve both processes to facilitate appropriate follow-up and structural changes, such as the use of electronic tracking systems and patient navigation programs.

A Qualitative Study Exploring Moral Distress Among Pediatric Resuscitation Team Clinicians: Challenges to Professional Integrity*

Objective: Our study objectives were to explore moral distress among pediatric team clinicians within the context of resuscitation experiences, and determine whether there were any distinctively ethical perspectives on moral distress that could be conceptualized as challenges to professional integrity, rather than to previously described psychological responses of clinicians. Design: Descriptive, exploratory qualitative study. Setting: A large tertiary pediatric academic hospital in Houston, TX. Subjects: Twenty-five PICU resuscitation team clinicians were interviewed from December 2012 to April 2013. Interventions: None. Measurements and Main Results: All clinicians reported experiencing moral distress during certain resuscitations. Twenty-one of 25 clinicians reflected and acknowledged that their sense of professional integrity had been challenged during those resuscitation events. Four main components of resuscitation experience that induced moral distress were identified: 1) experiences where there was lack of understanding of the big picture; 2) experiences where there was suboptimal team leadership; 3) experiences where there was variable meanings to the word “resuscitation”; and 4) experiences were there was uncertainty of role responsibility. Conclusions: The perception of moral distress exists among pediatric clinicians during resuscitations and could be conceptualized as challenges to professional integrity. This ethical framework offers an alternative approach to understanding and investigating the complex layers of moral distress.

An institutional experience with epidural analgesia in children and young adults undergoing cardiac surgery.

Background:  Allowing spontaneous respiration after cardiac surgery eliminates complications related to mechanical ventilation and optimizes cardiopulmonary interaction. Epidural analgesia has been proposed to promote early extubation after cardiac surgery.

Creating a medical education enterprise: leveling the playing fields of medical education vs. medical science research within core missions

ABSTRACT Background: Unlike publications of medical science research that are more readily rewarded, clinician-educators’ scholarly achievements are more nebulous and under-recognized. Objective:Create an education enterprise that empowers clinician-educators to engage in a broad range of scholarly activities and produce educational scholarship using strategic approaches to level the playing fields within an organization. Design: The authors analyzed the advantages and disadvantages experienced by medical science researchers vs. clinician educators using Bolman and Deal’s (B&D) four frames of organization (structural, human resource, political, symbolic). The authors then identified organizational approaches and activities that align with each B&D frame and proposed practical strategies to empower clinician-educators in their scholarly endeavors. Results: Our medical education enterprise enhanced the structural frame by creating a decentralized medical education unit, incorporated the human resource component with an endowed chair to support faculty development, leveraged the political model by providing grant supports and expanding venues for scholarship, and enhanced the symbolic frame by endorsing the value of education and public recognition from leaderships. In five years, we saw an increased number of faculty interested in becoming clinician-educators, had an increased number of faculty winning Educational Awards for Excellence and delivering conference presentations, and received 12 of the 15 college-wide awards for educational scholarship. These satisfactory trends reflect early success of our educational enterprise. Conclusions: B&D’s organizational frames can be used to identify strategies for addressing the pressing need to promote and recognize clinician-educators’ scholarship. We realize that our situation is unique in several respects, but this approach is flexible within an institution and transferable to any other institution and its medical education program. Abbreviations: B&D: Bolman and Deal; CRIS: Center for Research, Innovation, and Scholarship; OOR: Office of Research