Ventilator-Associated Events in Neonates and Children--A New Paradigm.

OBJECTIVES: To identify a pediatric ventilator-associated condition definition for use in neonates and children by exploring whether potential ventilator-associated condition definitions identify patients with worse outcomes. DESIGN: Retrospective cohort study and a matched cohort analysis. SETTING: Pediatric, cardiac, and neonatal ICUs in five U.S. hospitals. PATIENTS: Children 18 years old or younger ventilated for at least 1 day. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: We evaluated the evidence of worsening oxygenation via a range of thresholds for increases in daily minimum fraction of inspired oxygen (by 0.20, 0.25, and 0.30) and daily minimum mean airway pressure (by 4, 5, 6, and 7 cm H2O). We required worsening oxygenation be sustained for at least 2 days after at least 2 days of stability. We matched patients with a ventilator-associated condition to those without and used Cox proportional hazard models with frailties to examine associations with hospital mortality, hospital and ICU length of stay, and duration of ventilation. The cohort included 8,862 children with 10,209 hospitalizations and 77,751 ventilator days. For the fraction of inspired oxygen 0.25/mean airway pressure 4 definition (i.e., increase in minimum daily fraction of inspired oxygen by 0.25 or mean airway pressure by 4), rates ranged from 2.9 to 3.2 per 1,000 ventilator days depending on ICU type; the fraction of inspired oxygen 0.30/mean airway pressure 7 definition yielded ventilator-associated condition rates of 1.1-1.3 per 1,000 ventilator days. All definitions were significantly associated with greater risk of hospital death, with hazard ratios ranging from 1.6 (95% CI, 0.7-3.4) to 6.8 (2.9-16.0), depending on thresholds and ICU type. Each definition was associated with prolonged hospitalization, time in ICU, and duration of ventilation, among survivors. The advisory board of the study proposed using the fraction of inspired oxygen 0.25/mean airway pressure 4 thresholds to identify pediatric ventilator-associated conditions in ICUs. CONCLUSIONS: Pediatric patients with ventilator-associated conditions are at substantially higher risk for mortality and morbidity across ICUs, regardless of thresholds used. Next steps include identification of risk factors, etiologies, and preventative measures for pediatric ventilator-associated conditions.

Diagnostic and prognostic significance of ischemic electrocardiographic changes with regadenoson-stress myocardial perfusion imaging.

BACKGROUND: The diagnostic and prognostic value of regadenoson-induced ST-segment depression (ST↓) is not defined. Due to the low incidence of ST↓ ≥1.0 mm with vasodilator stress, a lower threshold to define ischemic ECG response may provide improved clinical utility. METHODS: We conducted a retrospective cohort study of patients who underwent regadenoson-stress SPECT myocardial perfusion imaging (MPI) followed by coronary angiography within 6 months. Ischemic ST↓ was defined as ≥0.5 mm. The prevalence of angiographically severe coronary artery disease (CAD) and the rates of major adverse cardiac events (MACE) including cardiac death, myocardial infarction, and coronary revascularization were determined. RESULTS: In a diagnostic cohort of 629 subjects, 117 (18.6%) had ST↓ ≥0.5 mm. Severe CAD was more prevalent in the ST↓ ≥0.5 vs ST <0.5 group (13.7% vs 5.3%, P = .001). Among patients with normal MPI (n = 229), the prevalence of severe CAD was higher in the ST↓ ≥0.5 group (8.2% vs 2.2%, P = .04). Adjusting for clinical and imaging covariates, ST↓ ≥0.5 mm was independently predictive of severe CAD [odds ratio = 3.37, 95% confidence interval (CI) = 1.67-6.83, P = .001], and provided incremental diagnostic value (Chi square increment = 10.3, P = .001). In an outcome cohort of 748 subjects, after adjusting for clinical and imaging covariates, ST↓ ≥0.5 mm was associated with increased MACE rate in the entire cohort [hazard ratio = 1.41, CI 1.01-1.96, P = .04] and in the subgroup of patients with normal MPI [hazard ratio = 2.2, CI 1.11-4.39, P = .02], and provided incremental prognostic value (Chi square increment = 3.9, P = .049). A diagnostic ST↓ threshold of 0.5 mm provided greater discriminatory capacity than a 1.0 mm cutoff (P = .03). CONCLUSIONS: Among patients selected to undergo coronary angiography, regadenoson-induced ST↓ ≥0.5 mm was associated with higher rates of severe CAD and MACE, irrespective of MPI finding.

Patient Non-adherence and Cancellations Are Higher for Screening Colonoscopy Compared with Surveillance Colonoscopy.

BACKGROUND: A significant proportion of the eligible population is non-adherent to colonoscopy for colorectal cancer (CRC) screening. AIMS: To define the demographic and clinical variables associated with non-adherence and multiple cancellations to scheduled colonoscopy within 1 year in a CRC screening and adenomatous polyp surveillance population. METHODS: This was an observational cohort study of 617 consecutive patients scheduled to undergo colonoscopy at an outpatient academic tertiary care center for CRC screening or adenomatous polyp surveillance from January 2012 to September 2012. RESULTS: Overall, 551 patients (89.3%) were adherent and 66 (10.7%) were non-adherent to scheduled colonoscopy at 1 year. The relative risk for non-adherence was 5.42 [95% confidence interval (CI) 2.74-10.75] in patients undergoing colonoscopy for screening compared to those for surveillance (16.7 vs. 3.5% non-adherence, respectively, P < 0.001). An indication of screening in comparison with surveillance was associated with non-adherence [odds ratio (OR) 12.69, 95% CI 4.18-38.51] and multiple cancellations (OR 2.33, 95% CI 1.27-4.31) by multiple regression analysis. CONCLUSIONS: Patients undergoing colonoscopy for CRC screening are significantly less likely to attend their scheduled procedure within a year and have more procedure cancellations than those undergoing surveillance colonoscopy.

The Postencounter Form System: Viewpoint on Efficient Data Collection Within Electronic Health Records.

Electronic health records (EHRs) offer opportunities for research and improvements in patient care. However, challenges exist in using data from EHRs due to the volume of information existing within clinical notes, which can be labor intensive and costly to transform into usable data with existing strategies. This case report details the collaborative development and implementation of the postencounter form (PEF) system into the EHR at the Road Home Program at Rush University Medical Center in Chicago, IL to address these concerns with limited burden to clinical workflows. The PEF system proved to be an effective tool with over 98% of all clinical encounters including a completed PEF within 5 months of implementation. In addition, the system has generated over 325,188 unique, readily-accessible data points in under 4 years of use. The PEF system has since been deployed to other settings demonstrating that the system may have broader clinical utility.

Surveillance of methadone-related adverse drug events using multiple public health data sources.

Healthcare safety and quality surveillance is increasingly conducted by public health agencies. We describe a biomedical informatics method that uses multiple public health data sources to perform surveillance of methadone-related adverse drug events. Data from Utah medical examiner records, vital statistics, emergency department encounter administrative data and a database of controlled substances prescriptions are used to examine trends in state-wide adverse events related to methadone. From 1997 to 2004, population-adjusted methadone prescriptions increased 727%, with evidence to suggest the rise in the methadone prescription rate is for treatment of pain, not addiction therapy. During the same period of time, population adjusted, accidental methadone-related deaths in medical examiner data increased 1770%. Population adjusted methadone-related emergency department encounters rose 612% from 1997 to 2003. Our results suggest that the increase in methadone prescription rates from 1997 to 2004 was accompanied by a concurrent increase in methadone-related morbidity and mortality. Although patient data is not linked between data sources, our results demonstrate that utilizing multiple public health data sources captures more cases and provides more clinical detail than individual data sources alone. Our approach is a successful biomedical informatics approach for surveillance of adverse events and utilizes widely available public health data sources, as well as an emerging source of public health data, controlled substance prescription registries.

The use of harmful legal products among pre-adolescent Alaskan students.

OBJECTIVES: This study examined pre-adolescent use of harmful but legally obtainable products (HLPs) "in order to get high" in 4 communities in northwest and southeast Alaska. These products include inhalants, over-the-counter medications, prescription medications taken without a doctor's prescription and common household products. STUDY DESIGN: Cross-sectional survey. METHODS: A student survey was administered to the 447 students whose parents consented and who agreed to participate. A descriptive analysis with frequencies, percentages, bivariate associations and appropriate statistical tests produced the study results. RESULTS: The lifetime overall use of HLPs among fifth, sixth and seventh grade students in 4 Alaskan communities was 17.4%. The lifetime use of inhalants (6.8%) and prescription medications taken without a doctor's prescription (8.0%) appear to be comparable to use rates from other studies. The use of over-the-counter medications (5.7%) appears to be slightly higher than in other U.S. surveys. The use of common household products was 6.1%. No significant differences in the lifetime or 30-day use were found correlated to region, gender, ethnicity or student grade. There was a strong association between 30-day or lifetime use of some HLPs and the (30-day or lifetime) use of alcohol, cigarettes and smokeless tobacco. CONCLUSIONS: The use of harmful everyday legal products by fifth, sixth and seventh graders in Alaska appears to be similar to data collected in other parts of the country. The possibility that there may be a link between the use of available legal substances and alcohol, tobacco and marijuana deserves additional attention.

A Pediatric Approach to Ventilator-Associated Events Surveillance.

OBJECTIVE Adult ventilator-associated event (VAE) definitions include ventilator-associated conditions (VAC) and subcategories for infection-related ventilator-associated complications (IVAC) and possible ventilator-associated pneumonia (PVAP). We explored these definitions for children. DESIGN Retrospective cohort SETTING Pediatric, cardiac, or neonatal intensive care units (ICUs) in 6 US hospitals PATIENTS Patients ≤18 years old ventilated for ≥1 day METHODS We identified patients with pediatric VAC based on previously proposed criteria. We applied adult temperature, white blood cell count, antibiotic, and culture criteria for IVAC and PVAP to these patients. We matched pediatric VAC patients with controls and evaluated associations with adverse outcomes using Cox proportional hazards models. RESULTS In total, 233 pediatric VACs (12,167 ventilation episodes) were identified. In the cardiac ICU (CICU), 62.5% of VACs met adult IVAC criteria; in the pediatric ICU (PICU), 54.2% of VACs met adult IVAC criteria; and in the neonatal ICU (NICU), 20.2% of VACs met adult IVAC criteria. Most patients had abnormal white blood cell counts and temperatures; we therefore recommend simplifying surveillance by focusing on "pediatric VAC with antimicrobial use" (pediatric AVAC). Pediatric AVAC with a positive respiratory diagnostic test ("pediatric PVAP") occurred in 8.9% of VACs in the CICU, 13.3% of VACs in the PICU, and 4.3% of VACs in the NICU. Hospital mortality was increased, and hospital and ICU length of stay and duration of ventilation were prolonged among all pediatric VAE subsets compared with controls. CONCLUSIONS We propose pediatric AVAC for surveillance related to antimicrobial use, with pediatric PVAP as a subset of AVAC. Studies on generalizability and responsiveness of these metrics to quality improvement initiatives are needed, as are studies to determine whether lower pediatric VAE rates are associated with improvements in other outcomes. Infect Control Hosp Epidemiol 2017;38:327-333.

Survival Prediction in Ambulatory Patients With Stage III/IV Non-Small Cell Lung Cancer Using the Palliative Performance Scale, ECOG, and Lung Cancer Symptom Scale.

OBJECTIVES: Patients with advanced non-small cell lung cancer (NSCLC) have a life expectancy of less than 1 year. Therefore, it is important to maximize their quality of life and find a tool that can more accurately predict survival. MATERIALS: The Palliative Performance Scale (PPS) is used to predict survival for patients with advanced disease based on functional dimensions. The value of the PPS in ambulatory patients with cancer has not been examined to date. The Lung Cancer Symptom Scale (LCSS) measures six major symptoms and their effect on symptomatic distress and activity. We evaluated 62 patients with stage III or IV NSCLC and Eastern Cooperative Oncology Group (ECOG) Scale Score ≥1 at baseline in a thoracic oncology clinic. In all, 62 patients had LCSS and PPS evaluated at baseline and 54 patients had 4-week follow-up using LCSS, PPS, and ECOG. RESULTS: Fifty-four patients completed baseline and follow-up. Mean age was 63.7 years. Sixty-three percent were receiving chemotherapy at evaluation. Seventeen patients died. Mean baseline measures were LCSS 6.18 (1-14); PPS 66.6 (40-90); and ECOG 1.82 (1-4). Censored survival times were calculated from enrollment of the first patient for 380 days. A proportional hazardous model was computed for survival status. Hazard ratios for death were 1.25 (P = .013) for LCSS, 2.12 (P = .027) for ECOG, and 1.02 for PPS (P = .49). CONCLUSIONS: The LCSS predicted prognosis best in this study. The PPS did not accurately predict prognosis in our patient population.

Design and implementation of a privacy preserving electronic health record linkage tool in Chicago.

OBJECTIVE: To design and implement a tool that creates a secure, privacy preserving linkage of electronic health record (EHR) data across multiple sites in a large metropolitan area in the United States (Chicago, IL), for use in clinical research. METHODS: The authors developed and distributed a software application that performs standardized data cleaning, preprocessing, and hashing of patient identifiers to remove all protected health information. The application creates seeded hash code combinations of patient identifiers using a Health Insurance Portability and Accountability Act compliant SHA-512 algorithm that minimizes re-identification risk. The authors subsequently linked individual records using a central honest broker with an algorithm that assigns weights to hash combinations in order to generate high specificity matches. RESULTS: The software application successfully linked and de-duplicated 7 million records across 6 institutions, resulting in a cohort of 5 million unique records. Using a manually reconciled set of 11 292 patients as a gold standard, the software achieved a sensitivity of 96% and a specificity of 100%, with a majority of the missed matches accounted for by patients with both a missing social security number and last name change. Using 3 disease examples, it is demonstrated that the software can reduce duplication of patient records across sites by as much as 28%. CONCLUSIONS: Software that standardizes the assignment of a unique seeded hash identifier merged through an agreed upon third-party honest broker can enable large-scale secure linkage of EHR data for epidemiologic and public health research. The software algorithm can improve future epidemiologic research by providing more comprehensive data given that patients may make use of multiple healthcare systems.

Evaluation of SNOMED coverage of Veterans Health Administration terms.

Veterans Health Administration (VHA) is now evaluating use of SNOMED-CT. This paper reports the first phase of this evaluation, which examines the coverage of SNOMED-CT for problem list entries. Clinician expressions in VA problem lists are quite diverse compared to the content of the current VA terminology Lexicon. We selected a random set of 5054 narratives that were previously "unresolved" against the Lexicon. These narratives were mapped to SNOMED-CT using two automated tools. Experts reviewed a subset of the tools' matched, partly matched, and un-matched narratives. The automated tools produced exact or partial matches for over 90% of the 5054 unresolved narratives. SNOMED-CT has promise as a coding system for clinical problems. In subsequent studies, VA will examine the coverage of SNOMED for other clinical domains, such as drugs, allergies, and physician orders.

Impact of glycemic variability and hypoglycemia on adverse hospital outcomes in non-critically ill patients.

AIMS: To determine if glycemic variability is associated with hospitalization outcomes in non-critically ill patients, and if this association remains after controlling for hypoglycemia. METHODS: A retrospective review was performed on 1276 medical admissions (801 patients) in which insulin was given, ≥6 point of care glucose (POCG) measurements and length of stay (LOS) 2-30 days. Coefficient of variation (%CV) was used to measure glycemic variability. Outcomes included LOS and a composite outcome based on ICU transfer, hospital acquired infections, and acute renal failure (ARF). RESULTS: There were a median of 18.5 POCG measurements per admission with a mean %CV 34.2 ± 11.1. Hypoglycemia (POCG ≤70 mg/dl [3.9 mmol/l]) occurred in 35.0% of admissions. ICU transfer occurred in 3.3%, hospital acquired infections 4.8%, ARF 8.3%, and composite outcome 13.5%. Adjusting for age, sex, race and Charlson score, every 10 unit increase in %CV was associated with an increase in LOS of 0.27 days (p=0.004), while there was no association between %CV and the composite outcome. For LOS, there was a significant interaction between %CV and hypoglycemia (p=0.07). While there was a non-significant correlation in patients without hypoglycemia, LOS correlated negatively with %CV in patients with hypoglycemia. When considered simultaneously with %CV, hypoglycemia was associated with increased odds of the composite outcome [OR 2.03 (95% CI 1.36-3.01), p=<0.001] and an increase of 2 days in LOS for those with average %CV. CONCLUSIONS: Hypoglycemia, compared to glycemic variability, is more strongly associated with adverse outcomes in hospitalized, non-critically ill patients.

CAPriCORN: Chicago Area Patient-Centered Outcomes Research Network.

The Chicago Area Patient-Centered Outcomes Research Network (CAPriCORN) represents an unprecedented collaboration across diverse healthcare institutions including private, county, and state hospitals and health systems, a consortium of Federally Qualified Health Centers, and two Department of Veterans Affairs hospitals. CAPriCORN builds on the strengths of our institutions to develop a cross-cutting infrastructure for sustainable and patient-centered comparative effectiveness research in Chicago. Unique aspects include collaboration with the University HealthSystem Consortium to aggregate data across sites, a centralized communication center to integrate patient recruitment with the data infrastructure, and a centralized institutional review board to ensure a strong and efficient human subject protection program. With coordination by the Chicago Community Trust and the Illinois Medical District Commission, CAPriCORN will model how healthcare institutions can overcome barriers of data integration, marketplace competition, and care fragmentation to develop, test, and implement strategies to improve care for diverse populations and reduce health disparities.

Impact of a combined pharmacist and social worker program to reduce hospital readmissions.

BACKGROUND: The Patient Protection and Affordable Care Act (2010) directed the Centers for Medicare and Medicaid Services to implement a hospital readmissions reduction program that reduces payments to hospitals for excess readmissions that began in October 2012. As such, hospitals across the country have been trying to identify and implement successful strategies for reducing hospitalizations. OBJECTIVE: To evaluate the impact of a combined pharmacist and social worker program on reducing 30-day, all-cause readmission rates to the same hospital. METHODS: Our study design was a retrospective, cross-sectional study that included 100 inpatients discharged from a large academic medical center. Fifty patients were enrolled in the combined pharmacist and social worker program, and 50 received usual care; all were deemed high risk for readmission due to clinical or social factors. In the program group, a pharmacist performed a thorough medication history and review of discharge medications and, in some cases, communicated with the patient after discharge. The program group was also followed by a social worker team in the hospital and after discharge; as necessary, psychosocial interventions were performed. RESULTS: The 2 patient cohorts had similar demographic and clinical characteristics. Ten percent of patients enrolled in the combined pharmacist and social worker program were readmitted to the hospital for any reason within 30 days of discharge, compared with 30% of patients in the usual care group (P = 0.012). CONCLUSION: The combined pharmacist and social worker program demonstrated a significant reduction in 30-day, all-cause readmission rates to the same hospital.

Electronic quality measurement predicts outcomes in community acquired pneumonia.

Using electronic medical data, we calculated emergency department physician performance and subsequent outcomes on a measure used in the Centers for Medicare & Medicaid Services' Physician Quality Reporting System. The measure assesses use of guideline recommended antibiotics for community acquired pneumonia. Physicians met measure criteria in 70.6% of cases at one institution. Among patients admitted to the hospital, measure compliant cases had a significantly shorter length of stay, lower costs and lower intensive care utilization than measure failures. For measure failures admitted to the hospital, antibiotic treatment was adjusted to be measure compliant within 48 hours in 57.1% of cases. Use of electronic performance measurement for antibiotic treatment of community acquired pneumonia identified variations in physician performance. Measure compliance correlated with significantly improved patient outcomes and lower costs.

Developing indicators of inpatient adverse drug events through nonlinear analysis using administrative data.

BACKGROUND: Because of uniform availability, hospital administrative data are appealing for surveillance of adverse drug events (ADEs). Expert-generated surveillance rules that rely on the presence of International Classification of Diseases, 9th Revision Clinical Modification (ICD-9-CM) codes have limited accuracy. Rules based on nonlinear associations among all types of available administrative data may be more accurate. OBJECTIVES: By applying hierarchically optimal classification tree analysis (HOCTA) to administrative data, derive and validate surveillance rules for bleeding/anticoagulation problems and delirium/psychosis. RESEARCH DESIGN: Retrospective cohort design. SUBJECTS: A random sample of 3987 admissions drawn from all 41 Utah acute-care hospitals in 2001 and 2003. MEASURES: Professional nurse reviewers identified ADEs using implicit chart review. Pharmacists assigned Medical Dictionary for Regulatory Activities codes to ADE descriptions for identification of clinical groups of events. Hospitals provided patient demographic, admission, and ICD9-CM data. RESULTS: Incidence proportions were 0.8% for drug-induced bleeding/anticoagulation problems and 1.0% for drug-induced delirium/psychosis. The model for bleeding had very good discrimination and sensitivity at 0.87 and 86% and fair positive predictive value (PPV) at 12%. The model for delirium had excellent sensitivity at 94%, good discrimination at 0.83, but low PPV at 3%. Poisoning and adverse event codes designed for the targeted ADEs had low sensitivities and, when forced in, degraded model accuracy. CONCLUSIONS: Hierarchically optimal classification tree analysis is a promising method for rapidly developing clinically meaningful surveillance rules for administrative data. The resultant model for drug-induced bleeding and anticoagulation problems may be useful for retrospective ADE screening and rate estimation.