by
Marta C. Nunes;
Zachary Kuschner;
Zelda Rabede;
Richard Madimabe;
Nadia Van Niekerk;
Jackie Moloi;
Locadiah Kuwanda;
John W. Rossen;
Keith Klugman;
Peter V. Adrian;
Shabir A. Madhi
Background: Advances in molecular diagnostics have implicated newly-discovered respiratory viruses in the pathogenesis of pneumonia. We aimed to determine the prevalence and clinical characteristics of human bocavirus (hBoV), human rhinovirus (hRV), polyomavirus-WU (WUPyV) and -KI (KIPyV) and human coronaviruses (CoV)-OC43, -NL63, -HKU1 and -229E among children hospitalized with lower respiratory tract infections (LRTI). Methods: Multiplex real-time reverse-transcriptase polymerase chain reaction was undertaken on archived nasopharyngeal aspirates from HIV-infected and -uninfected children ( < 2 years age) hospitalized for LRTI, who had been previously investigated for respiratory syncytial virus, human metapneumovirus, parainfluenza I-III, adenovirus and influenza A/B. Results: At least one of these viruses were identified in 274 (53.0%) of 517 and in 509 (54.0%) of 943 LRTI-episodes in HIV-infected and -uninfected children, respectively. Human rhinovirus was the most prevalent in HIV-infected (31.7%) and - uninfected children (32.0%), followed by CoV-OC43 (12.2%) and hBoV (9.5%) in HIV-infected; and by hBoV (13.3%) and WUPyV (11.9%) in HIV-uninfected children. Polyomavirus-KI (8.9% vs. 4.8%; p = 0.002) and CoV-OC43 (12.2% vs. 3.6%; p < 0.001) were more prevalent in HIV-infected than -uninfected children. Combined with previously-tested viruses, respiratory viruses were identified in 60.9% of HIV-infected and 78.3% of HIV-uninfected children. The newly tested viruses were detected at high frequency in association with other respiratory viruses, including previously-investigated viruses (22.8% in HIV-infected and 28.5% in HIV-uninfected children). Conclusions: We established that combined with previously-investigated viruses, at least one respiratory virus was identified in the majority of HIV-infected and HIV-uninfected children hospitalized for LRTI. The high frequency of viral coinfections illustrates the complexities in attributing causality to specific viruses in the aetiology of LRTI and may indicate a synergetic role of viral co-infections in the pathogenesis of childhood LRTI.
Vitamin D insufficiency and sepsis are both highly prevalent worldwide problems and this article reviews the emerging science that is defining the intersections of these conditions. The importance of vitamin D’s role in skeletal health has long been understood but recent evidence is beginning to highlight its role in the functioning of other physiologic systems of the body. Basic science data reveal its integral role in local immune responses to pathogens and the systemic inflammatory pathways of sepsis. Furthermore, clinical scientists have found associations with respiratory infections, critical illness and sepsis but the causal relationship and its clinical impact have yet to be clearly defined. The article ends with speculations on the connections between racial disparities and seasonal differences in sepsis and vitamin D insufficiency.
Background: Case definitions for asthma incidence in early life vary between studies using medical records to define disease. This study assessed the impact of different approaches to using medical records on estimates of asthma incidence by age 3 and determined the validity of early-life asthma case definitions in predicting school-age asthma. Methods: Asthma diagnoses and medications by age 3 were used to classify 7103 children enrolled in Kaiser Permanente Georgia according to 14 definitions of asthma. School-age asthma was defined as an asthma diagnosis between ages 5 and 8. Sensitivity (probability of asthma by age 3 given school-age asthma), specificity (probability of no asthma by age 3 given no school-age asthma), positive and negative predictive values (probability of (no) school-age asthma given (no) asthma by age 3), and likelihood ratios (combining sensitivity and specificity) were used to determine predictive ability. Results: 9.0–35.2% of children were classified as asthmatic by age 3 depending on asthma case definition. Early-life asthma classifications were more specific than sensitive and were better at identifying children who would not have school-age asthma (negative predictive values: 80.7–86.6%) than at predicting children who would have school-age asthma (positive predictive values: 43.5–71.5%). Conclusions: Choice of case definition had a large impact on the estimate of asthma incidence. While ability to predict school-age asthma was limited, several case definitions performed similarly to clinical asthma prediction tools used in previous asthma research (e.g., the Asthma Predictive Index).
by
Cristina T. Navarrete;
Lisa A. Wrage;
Waldemar A. Carlo;
Michele C. Walsh;
Wade Rich;
Marie G. Gantz;
Abhik Das;
Kurt Schibler;
Nancy S. Newman;
Anthony Piazza;
Brenda B. Poindexter;
Seetha Shankaran;
Pablo J. Sanchez;
Brenda H. Morris;
Ivan D. Frantz III;
Krisa P. Van Meurs;
C. Michael Cotten;
Richard A. Ehrenkranz;
Edward F. Bell;
Kristi L. Watterberg;
Rosemary D. Higgins;
Shahnaz Duara
Objective: To test whether infants randomized to a lower oxygen saturation (peripheral capillary oxygen saturation [SpO 2 ]) target range while on supplemental oxygen from birth will have better growth velocity from birth to 36 weeks postmenstrual age (PMA) and less growth failure at 36 weeks PMA and 18-22 months corrected age.
Study design: We evaluated a subgroup of 810 preterm infants from the Surfactant, Positive Pressure, and Oxygenation Randomized Trial, randomized at birth to lower (85%-89%, n = 402, PMA 26 ± 1 weeks, birth weight 839 ± 186 g) or higher (91%-95%, n = 408, PMA 26 ± 1 weeks, birth weight 840 ± 191 g) SpO 2 target ranges. Anthropometric measures were obtained at birth, postnatal days 7, 14, 21, and 28; then at 32 and 36 weeks PMA; and 18-22 months corrected age. Growth velocities were estimated with the exponential method and analyzed with linear mixed models. Poor growth outcome, defined as weight < 10th percentile at 36 weeks PMA and 18-22 months corrected age, was compared across the 2 treatment groups by the use of robust Poisson regression.
Results: Growth outcomes including growth at 36 weeks PMA and 18-22 months corrected age, as well as growth velocity were similar in the lower and higher SpO 2 target groups.
Conclusion: Targeting different oxygen saturation ranges between 85% and 95% from birth did not impact growth velocity or reduce growth failure in preterm infants.
by
David T. Selewski;
Jonathan P. Troost;
Danyelle Cummings;
Susan F. Massengill;
Rasheed A. Gbadegesin;
Larry Greenbaum;
Ibrahim F. Shatat;
Yi Cai;
Gaurav Kapur;
Diane Hebert;
Michael J. Somers;
Howard Trachtman;
Priya Pais;
Michael E. Seifert;
Jens Goebel;
Christine B. Sethna;
John D. Mahan;
Heather E. Gross;
Emily Herreshoff;
Yang Liu;
Noelle E. Carlozzi;
Bryce B. Reeve;
Darren A. DeWalt;
Debbie S. Gipson
Background: Nephrotic syndrome represents a condition in pediatric nephrology typified by a relapsing and remitting course, proteinuria and the presence of edema. The PROMIS measures have previously been studied and validated in cross-sectional studies of children with nephrotic syndrome. This study was designed to longitudinally validate the PROMIS measures in pediatric nephrotic syndrome.
Methods: One hundred twenty seven children with nephrotic syndrome between the ages of 8 and 17years participated in this prospective cohort study. Patients completed a baseline assessment while their nephrotic syndrome was active, a follow-up assessment at the time of their first complete proteinuria remission or study month 3 if no remission occurred, and a final assessment at study month 12. Participants completed six PROMIS measures (Mobility, Fatigue, Pain Interference, Depressive Symptoms, Anxiety, and Peer Relationships), the PedsQL version 4.0, and two global assessment of change items.
Results: Disease status was classified at each assessment: nephrotic syndrome active in 100% at baseline, 33% at month 3, and 46% at month 12. The PROMIS domains of Mobility, Fatigue, Pain Interference, Depressive Symptoms, and Anxiety each showed a significant overall improvement over time (p < 0.001). When the PROMIS measures were compared to the patients' global assessment of change, the domains of Mobility, Fatigue, Pain Interference, and Anxiety consistently changed in an expected fashion. With the exception of Pain Interference, change in PROMIS domain scores did not correlate with changes in disease activity. PROMIS domain scores were moderately correlated with analogous PedsQL domain scores.
Conclusion: This study demonstrates that the PROMIS Mobility, Fatigue, Pain Interference, and Anxiety domains are sensitive to self-reported changes in disease and overall health status over time in children with nephrotic syndrome. The lack of significant anchoring to clinically defined nephrotic syndrome disease active and remission status may highlight an opportunity to improve the measurement of HRQOL in children with nephrotic syndrome through the development of a nephrotic syndrome disease-specific HRQOL measure.
by
Mark D. Macek;
Kathryn A. Atchison;
Maria Rosa Watson;
Jennifer Holtzman;
William Wells;
Bonnie Braun;
Linda Aldoory;
Diana Messadi;
Melanie Gironda;
Don Haynes;
Ruth Parker;
Haiyan Chen;
Susan Coller;
Jessica Richards
Objectives: To introduce a multi-site assessment of oral health literacy and to describe preliminary analyses of the relationships between health literacy and selected oral health outcomes within the context of a comprehensive conceptual model. Methods: Data for this analysis came from the Multi-Site Oral Health Literacy Research Study (MOHLRS), a federally funded investigation of health literacy and oral health. MOHLRS consisted of a broad survey, including several health literacy assessments, and measures of attitudes, knowledge, and other factors. The survey was administered to 922 initial care-seeking adult patients presenting to university-based dental clinics in California and Maryland. For this descriptive analysis, confidence filling out forms, word recognition, and reading comprehension comprised the health literacy assessments. Dental visits, oral health functioning, and dental self-efficacy were the outcomes. Results: Overall, up to 21% of participants reported having difficulties with practical health literacy tasks. After controlling for sociodemographic confounders, no health literacy assessment was associated with dental visits or dental caries self-efficacy. However, confidence filling out forms and word recognition were each associated with oral health functioning and periodontal disease self-efficacy. Conclusions: Our analysis showed that dental school patients exhibit a range of health literacy abilities. It also revealed that the relationship between health literacy and oral health is not straightforward, depending on patient characteristics and the unique circumstances of the encounter. We anticipate future analyses of MOHLRS data will answer questions about the role that health literacy and various mediating factors play in explaining oral health disparities.
Objective: A memory clinic at an academic medical center has relied on several ad hoc data capture systems including Microsoft Access and Excel for cognitive assessments over the last several years. However these solutions are challenging to maintain and limit the potential of hypothesis-driven or longitudinal research. REDCap, a secure web application based on PHP and MySQL, is a practical solution for improving data capture and organization. Here, we present a workflow and toolset to facilitate legacy data migration and real-time clinical research data collection into REDCap as well as challenges encountered.
Materials and methods: Legacy data consisted of neuropsychological tests stored in over 4000 Excel workbooks. Functions for data extraction, norm scoring, converting to REDCap-compatible formats, accessing the REDCap API, and clinical report generation were developed and executed in Python.
Results: Over 400 unique data points for each workbook were migrated and integrated into our REDCap database. Moving forward, our REDCap-based system replaces the Excel-based data collection method as well as eases the integration into the standard clinical research workflow and Electronic Health Record.
Conclusion: In the age of growing data, efficient organization and storage of clinical and research data is critical for advancing research and providing efficient patient care. We believe that the workflow and tools described in this work to promote legacy data integration as well as real time data collection into REDCap ultimately facilitate these goals.
OBJECTIVES::
Measurements of extravascular lung water (EVLW) correlate to the degree of pulmonary edema and have substantial prognostic information in critically ill patients. Prior studies using single indicator thermodilution have reported that 21% to 35% of patients with clinical acute respiratory distress syndrome (ARDS) have normal EVLW (<10 mL/kg). Given that lung size is independent of actual body weight, we sought to determine whether indexing EVLW to predicted or adjusted body weight affects the frequency of increased EVLW in patients with ARDS. DESIGN:: Prospective, observational cohort study. SETTING:: Medical and surgical intensive care units at two academic hospitals. PATIENTS:: Thirty patients within 72 hrs of meeting American-European Consensus Conference definition of ARDS and 14 severe sepsis patients without ARDS. INTERVENTIONS:: None. MEASUREMENT AND MAIN RESULTS:: EVLW was measured for 7 days by PiCCO transpulmonary thermodilution; 225 measurements of EVLW indexed to actual body weight (ActBW) were compared with EVLW indexed to predicted body weight (PBW) and adjusted body weight (AdjBW). Mean EVLW indexed to ActBW was 12.7 mg/kg for ARDS patients and 7.8 mg/kg for non-ARDS sepsis patients (p < .0001). In all patients, EVLW increased an average of 1.1 ± 2.1 mL/kg when indexed to AdjBW and 2.0 ± 4.1 mL/kg when indexed to PBW. Indexing EVLW to PBW or AdjBW increased the proportion of ARDS patients with elevated EVLW (each p < .05) without increasing the frequency of elevated EVLW in non-ARDS patients. EVLW indexed to PBW had a stronger correlation to Lung Injury Score (r = .39 vs. r = .17) and Pao2/Fio2 ratio (r = .25 vs. r = .10) than did EVLW indexed to ActBW. CONCLUSIONS:: Indexing EVLW to PBW or AdjBW reduces the number of ARDS patients with normal EVLW and correlates better to Lung Injury Score and oxygenation than using ActBW. Studies are needed to confirm the presumed superiority of this method for diagnosing ARDS and to determine the clinical treatment implications.
High false alarm rates in the ICU decrease quality of care by slowing staff response times while increasing patient delirium through noise pollution. The 2015 PhysioNet/Computing in Cardiology Challenge provides a set of 1250 multi-parameter ICU data segments associated with critical arrhythmia alarms, and challenges the general research community to address the issue of false alarm suppression using all available signals. Each data segment was 5 minutes long (for real time analysis), ending at the time of the alarm. For retrospective analysis, we provided a further 30 seconds of data after the alarm was triggered. A total of 750 data segments were made available for training and 500 were held back for testing. Each alarm was reviewed by expert annotators, at least two of whom agreed that the alarm was either true or false. Challenge participants were invited to submit a complete, working algorithm to distinguish true from false alarms, and received a score based on their program's performance on the hidden test set. This score was based on the percentage of alarms correct, but with a penalty that weights the suppression of true alarms five times more heavily than acceptance of false alarms. We provided three example entries based on well-known, open source signal processing algorithms, to serve as a basis for comparison and as a starting point for participants to develop their own code. A total of 38 teams submitted a total of 215 entries in this year's Challenge. This editorial reviews the background issues for this challenge, the design of the challenge itself, the key achievements, and the follow-up research generated as a result of the Challenge, published in the concurrent special issue of Physiological Measurement. Additionally we make some recommendations for future changes in the field of patient monitoring as a result of the Challenge.
by
William Sohn;
Matthew J. Resnick;
Sheldon Greenfield;
Sherrie H. Kaplan;
Sharon Phillips;
Tatsuki Koyama;
Michael Goodman;
Ann S. Hamilton;
Mia Hashibe;
Karen E. Hoffman;
Lisa E. Paddock;
Antoinette M. Stroup;
Xiao-Cheng Wu;
David F. Penson;
Daniel A. Barocas
Background and Objective: Quality measures used in pay-forperformance systems are intended to address specific quality goals, such as safety, efficiency, effectiveness, timeliness, equity, and patient-centeredness. Given the small number of narrowly focused measures in prostate cancer care, we sought to determine whether adherence to any of the available payer-driven quality measures influences patient-centered outcomes, including health-related quality of life (HRQOL), patient satisfaction, and treatment-related complications.
Methods: The Comparative Effectiveness Analysis of Surgery and Radiation study is a population-based, prospective cohort study that enrolled 3708 men with clinically localized prostate cancer during 2011 and 2012, of whom 2601 completed the 1-year survey and underwent complete chart abstraction. Compliance with 6 quality indicators endorsed by national consortia was assessed. Multivariable regression was used to determine the relationship between indicator compliance and Expanded Prostate Cancer Index Composite (EPIC- 26) instrument summary scores, satisfaction scale scores (service satisfaction scale for cancer care), and treatment-related complications.
Results: Overall rates of compliance with these quality measures ranged between 64% and 88%. Three of the 6 measures were weakly associated with 1-year sexual function and bowel function scores (β = -4.6, 1.69, and 2.93, respectively; P ≤ 0.05), whereas the remaining measures had no significant relationship with patientreported HRQOL outcomes. Satisfaction scores and treatment-related complications were not associated with quality measure compliance.
Conclusions: Compliance with available nationally endorsed quality indicators, which were designed to incentivize effective and efficient care, was not associated with clinically important changes in patient-centered outcomes (HRQOL, satisfaction, or complications) within 1-year.