Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Dingwei Dai is active.

Publication


Featured researches published by Dingwei Dai.


BMC Pediatrics | 2014

Pediatric complex chronic conditions classification system version 2: updated for ICD-10 and complex medical technology dependence and transplantation

Chris Feudtner; James A. Feinstein; Wenjun Zhong; Matthew Hall; Dingwei Dai

BackgroundThe pediatric complex chronic conditions (CCC) classification system, developed in 2000, requires revision to accommodate the International Classification of Disease 10th Revision (ICD-10). To update the CCC classification system, we incorporated ICD-9 diagnostic codes that had been either omitted or incorrectly specified in the original system, and then translated between ICD-9 and ICD-10 using General Equivalence Mappings (GEMs). We further reviewed all codes in the ICD-9 and ICD-10 systems to include both diagnostic and procedural codes indicative of technology dependence or organ transplantation. We applied the provisional CCC version 2 (v2) system to death certificate information and 2 databases of health utilization, reviewed the resulting CCC classifications, and corrected any misclassifications. Finally, we evaluated performance of the CCC v2 system by assessing: 1) the stability of the system between ICD-9 and ICD-10 codes using data which included both ICD-9 codes and ICD-10 codes; 2) the year-to-year stability before and after ICD-10 implementation; and 3) the proportions of patients classified as having a CCC in both the v1 and v2 systems.ResultsThe CCC v2 classification system consists of diagnostic and procedural codes that incorporate a new neonatal CCC category as well as domains of complexity arising from technology dependence or organ transplantation. CCC v2 demonstrated close comparability between ICD-9 and ICD-10 and did not detect significant discontinuity in temporal trends of death in the United States. Compared to the original system, CCC v2 resulted in a 1.0% absolute (10% relative) increase in the number of patients identified as having a CCC in national hospitalization dataset, and a 0.4% absolute (24% relative) increase in a national emergency department dataset.ConclusionsThe updated CCC v2 system is comprehensive and multidimensional, and provides a necessary update to accommodate widespread implementation of ICD-10.


JAMA Pediatrics | 2012

Prevalence of Polypharmacy Exposure Among Hospitalized Children in the United States

Chris Feudtner; Dingwei Dai; Kari R. Hexem; Xianqun Luan; Talene A. Metjian

OBJECTIVE To assess the prevalence and patterns of exposure to drugs and therapeutic agents among hospitalized pediatric patients. DESIGN Retrospective cohort study. SETTING A total of 411 general hospitals and 52 childrens hospitals throughout the United States. PATIENTS A total of 587 427 patients younger than 18 years, excluding healthy newborns, hospitalized in 2006, representing one-fifth of all pediatric admissions in the United States. MAIN OUTCOME MEASURES Daily and cumulative exposure to drugs and therapeutic agents. RESULTS The most common exposures varied by patient age and by hospital type, with acetaminophen, albuterol, various antibiotics, fentanyl, heparin, ibuprofen, morphine, ondansetron, propofol, and ranitidine being among the most prevalent exposures. A considerable fraction of patients were exposed to numerous medications: in childrens hospitals, on the first day of hospitalization, patients younger than 1 year at the 90th percentile of daily exposure to distinct medications received 11 drugs, and patients 1 year or older received 13 drugs; in general hospitals, 8 and 12 drugs, respectively. By hospital day 7, in childrens hospitals, patients younger than 1 year at the 90th percentile of cumulative exposure to distinct distinct medications had received 29 drugs, and patients 1 year or older had received 35; in general hospitals, 22 and 28 drugs, respectively. Patients with less common conditions were more likely to be exposed to more drugs (P = .001). CONCLUSION A large fraction of hospitalized pediatric patients are exposed to substantial polypharmacy, especially patients with rare conditions.


Pediatrics | 2015

Potential drug-drug interactions in infant, child, and adolescent patients in children's hospitals.

James A. Feinstein; Dingwei Dai; Wenjun Zhong; Jason L. Freedman; Chris Feudtner

BACKGROUND AND OBJECTIVES: Hospitalized infants, children, and adolescents are typically exposed to numerous distinct medications during inpatient admissions, increasing their risk of potential drug−drug interactions (PDDIs). We assessed the prevalence and characteristics of PDDI exposure of pediatric patients treated in children’s hospitals. METHODS: This retrospective cohort study included patients <21 years old hospitalized in children’s hospitals throughout the United States. PDDIs were identified by using the MicroMedex DRUG-REAX system. We calculated the patients exposed to PDDIs, stratified according to the seriousness of the interaction; daily and cumulative counts of PDDI exposures; and characterization of the cited potential adverse effects. RESULTS: Of 498 956 hospitalizations in 2011, 49% were associated with ≥1 PDDI, with a “contraindicated” PDDI occurring in 5% of all hospitalizations, a “major” PDDI present in 41%, a “moderate” PDDI in 28%, and a “minor” PDDI in 11%. Opioids were involved in 25% of all PDDIs, followed by antiinfective agents (17%), neurologic agents (15%), gastrointestinal agents (13%), and cardiovascular agents (13%). One-half of all PDDI exposures were due to specific drug pairs occurring in ≤3% of patients per hospital day. The most common potential adverse drug events included additive respiratory depression (in 21% of PDDIs), bleeding risk (5%), QT interval prolongation (4%), reduced iron absorption/availability (4%), central nervous system depression (4%), hyperkalemia (3%), and altered diuretic effectiveness (3%). CONCLUSIONS: Exposure to PDDIs is common among hospitalized children. Empirical data are needed to determine the probability and magnitude of the actual harm for each specific PDDI, particularly for less common drug pairs.


Pediatric Critical Care Medicine | 2016

Epidemiology of Polypharmacy and Potential Drug-Drug Interactions Among Pediatric Patients in ICUs of U.S. Children's Hospitals.

Dingwei Dai; James A. Feinstein; Wynne Morrison; Athena F. Zuppa; Chris Feudtner

Objectives: Polypharmacy is common in hospitalized children in the United States and has been identified as a major risk factor for exposure to potential drug–drug interactions. Little is known about the characteristics and prevalence of exposure of pediatric patients to polypharmacy and potential drug–drug interactions in PICUs. Design: Retrospective cohort study using the Pediatric Health Information System database. Setting: Forty-two freestanding children’s hospitals throughout the United States. Patients: A total of 54,549 patients less than 18 years old cared for in PICUs in 2011. Patients in neonatal ICUs were not included. Measurements and Main Results: PICU patients were on average exposed to 10 distinct drugs each hospital day and to 20 drugs cumulatively during their hospitalization. Seventy-five percent of patients were exposed to greater than or equal to one potential drug–drug interaction regardless of severity level, 6% to greater than or equal to one contraindicated potential drug–drug interaction, 69% to greater than or equal to one major potential drug–drug interaction, 57% to greater than or equal to one moderate potential drug–drug interaction, 19% to greater than or equal to one minor potential drug–drug interaction. Potential drug–drug interaction exposures were significantly associated with specific diagnoses (p < 0.001), presence of complex chronic conditions (p < 0.001), increasing number of total distinct drugs used (p < 0.001), increasing length of stay in PICU (p < 0.001), and white race (p < 0.001). Conclusions: Many PICU patients are exposed to substantial polypharmacy and potential drug–drug interactions. Future research should identify the risk of adverse drug events following specific potential drug–drug interaction exposures, especially the risk of adverse drug events due to multiple potential drug–drug interaction exposures, and determine the probability and magnitude of the actual harm (if any) for each specific potential drug–drug interaction, especially for multiple potential drug–drug interaction exposures.


BMJ Quality & Safety | 2016

Tall Man lettering and potential prescription errors: a time series analysis of 42 children's hospitals in the USA over 9 years

Wenjun Zhong; James A. Feinstein; Neil S. Patel; Dingwei Dai; Chirs Feudtner

Background Despite the widespread implementation of Tall Man lettering, little evidence exists regarding whether this technique has reduced drug errors due to look-alike sound-alike (LA-SA) drug names. This study evaluated rates of potential LA-SA drug errors in the drug management process through to the point of dispensing before and after implementation of Tall Man lettering in 2007. Methods We used detailed pharmacy data for paediatric inpatients (<21 years old) from 42 childrens hospitals in 2004–2012. After prespecifying a set of 8 potential LA-SA drug error patterns we searched within each hospitalisation for the occurrence of one of these patterns for a total of 12 LA-SA drug pairs deemed highly relevant to paediatric inpatients. To assess for potential change of error rates before and after Tall Man lettering implementation, we performed segmented regression analyses for each of 11 LA-SA drug pairs (because 1 pair had no detected potential errors) and for the overall total errors of all 11 LA-SA drug pairs. Results Among 1 676 700 hospitalisations, no statistically significant change was detected for either the intercept or the slope of LA-SA error rate for each of the 11 drug pairs or for the combined error rate. In a sensitivity analysis of the moving average of the potential error rate over the entire study period, no downward trend in potential LA-SA drug error rates was evident over any time period 2004 onwards. Conclusions Implementation of Tall Man lettering in 2007 was not associated with a reduction in the potential LA-SA error rate. Whether Tall Man lettering is effective in clinical practice warrants further study.


The Annals of Thoracic Surgery | 2014

Accuracy of the All Patient Refined Diagnosis Related Groups Classification System in Congenital Heart Surgery

Aimee S. Parnell; Justine Shults; J. William Gaynor; Mary B. Leonard; Dingwei Dai; Chris Feudtner

BACKGROUND Administrative data are increasingly used to evaluate clinical outcomes and quality of care in pediatric congenital heart surgery (CHS) programs. Several published analyses of large pediatric administrative data sets have relied on the All Patient Refined Diagnosis Related Groups (APR-DRG, version 24) diagnostic classification system. The accuracy of this classification system for patients undergoing CHS is unclear. METHODS We performed a retrospective cohort study of all 14,098 patients 0 to 5 years of age undergoing any of six selected congenital heart operations, ranging in complexity from isolated closure of a ventricular septal defect to single-ventricle palliation, at 40 tertiary-care pediatric centers in the Pediatric Health Information Systems database between 2007 and 2010. Assigned APR-DRGs (cardiac versus noncardiac) were compared using χ2 or Fishers exact tests between those patients admitted during the first day of life versus later and between those receiving extracorporeal membrane oxygenation support versus those not. Recursive partitioning was used to assess the greatest determinants of APR-DRG type in the model. RESULTS Every patient admitted on day 1 of life was assigned to a noncardiac APR-DRG (p<0.001 for each procedure). Similarly, use of extracorporeal membrane oxygenation was highly associated with misclassification of CHS patients into a noncardiac APR-DRG (p<0.001 for each procedure). Cases misclassified into a noncardiac APR-DRG experienced a significantly increased mortality (p<0.001). CONCLUSIONS In classifying patients undergoing CHS, APR-DRG coding has systematic misclassifications, which may result in inaccurate reporting of CHS case volumes and mortality.


Journal of Pain and Symptom Management | 2014

Variation of Opioid Use in Pediatric Inpatients Across Hospitals in the U.S.

James Womer; Wenjun Zhong; F. Wickham Kraemer; Lynne G. Maxwell; Elizabeth Ely; Jennifer Faerber; Dingwei Dai; Chris Feudtner

CONTEXT Appropriate use of opioids is essential to manage moderate-to-severe pain in children safely and effectively, yet published guidance regarding opioid treatment for pediatric patients is limited, potentially resulting in excessive variation in opioid use in pediatric patients across hospitals in the U.S. OBJECTIVES The aim was to evaluate hospital variation in opioid use in pediatric inpatients. METHODS Using data from the Pediatric Health Information System and the Premier Perspective Database regarding all pediatric inpatients in 626 hospitals, we examined hospital variation in opioid use and the length of opioid use, adjusting for patient demographic and clinical characteristics and for hospital type (childrens vs. general) and hospital patient volume, using multilevel generalized linear regression modeling. RESULTS Overall, 41.2% of all pediatric hospitalizations were exposed to opioids. Among the exposed patients, the mean length of exposure was 4.6 days. Exposure proportion and exposure length varied substantially across hospitals, even after accounting for patient demographic and clinical characteristics, hospital type and hospital patient volume, especially among terminal hospitalizations. For patients discharged alive vs. died, the adjusted exposure percentage for each hospital ranged from 0.7% to 99.1% (interquartile range [IQR]: 35.3%-59.9%) vs. 0.1% to 100.0% (IQR: 29.2%-66.2%), respectively, and the adjusted exposure length ranged from 1.0 to 8.4 days (IQR: 2.2-2.7 days) vs. 0.9 to 35.2 days (IQR: 4.0-7.4 days). CONCLUSION The substantial hospital-level variation in opioid use in pediatric inpatients suggests room for improvement in clinical practice.


Pediatric Blood & Cancer | 2014

Predictors of Antiemetic Alteration in Pediatric Acute Myeloid Leukemia

Jason L. Freedman; Jennifer Faerber; Tammy I. Kang; Dingwei Dai; Brian T. Fisher; Yuan-Shung Huang; Yimei Li; Richard Aplenc; Chris Feudtner

Better knowledge of patient and cancer treatment factors associated with nausea/vomiting (NV) in pediatric oncology patients could enhance prophylaxis. We aimed to describe such factors in children receiving treatment for acute myeloid leukemia (AML).


Pharmacoepidemiology and Drug Safety | 2013

Pragmatic estimates of the proportion of pediatric inpatients exposed to specific medications in the USA

Chris Feudtner; Dingwei Dai; Jennifer Faerber; Talene A. Metjian; Xianqun Luan

To provide pragmatic national estimates of the proportion of hospitalized pediatric patients exposed to specific drugs in the USA.


Pediatric Critical Care Medicine | 2015

Gastric Acid Suppressant Prophylaxis in Pediatric Intensive Care: Current Practice as Reflected in a Large Administrative Database.

Andrew T. Costarino; Dingwei Dai; Rui Feng; Chris Feudtner; James P. Guevara

Objectives: Stress-related gastrointestinal bleeding may occur in PICU patients. Raising gastric pH with acid suppressant medications is the accepted treatment. We describe the use of histamine 2 receptor blockers and proton pump inhibitors and associated factors among a national sample of PICU patients. Design: Retrospective cohort analysis using Pediatric Health Information System clinically detailed administrative database. Setting: Forty-two children’s hospitals throughout the United States. Patients: All hospitalizations for all patients 20 years old or younger, admitted directly to a PICU, from January 1, 2007, through December 31, 2011. Interventions: None. Measurements and Main Results: The exposure of interest was treatment with a histamine 2 receptor blocker, proton pump inhibitor, or both on the first day of PICU admission. Demographics, principal and additional diagnoses, and procedure codes were assessed. For each hospitalization, principal diagnosis, coagulation disorder, head trauma, spinal trauma, severe burns, sepsis, gastrointestinal hemorrhage, mechanical ventilation, blood product transfusion, and 10 complex chronic conditions were identified. The frequency of principal diagnoses was determined to identify the most prevalent PICU diseases. Acid suppressant use was categorized as high or low. Three hundred and thirty-six thousand ten inpatient hospitalizations were sampled. Histamine 2 receptor blocker or proton pump inhibitor was used in 60.0%, with histamine 2 receptor blocker alone in 70.4%, proton pump inhibitor alone in 17.8%, and both agents in 11.8%. Use increased over the sample years 2007 through 2011. Gastrointestinal bleeding occurred in 1.32% of hospitalizations with transfusion needed in 0.1%. Among most prevalent diagnoses, histamine 2 receptor blocker and proton pump inhibitor use ranged from 33% to 87%. Sepsis, coagulopathy, and mechanical ventilation identified higher use. Use of histamine 2 receptor blocker or proton pump inhibitor among hospitals varied considerably ranging from 28% to 87%. Conclusions: Histamine 2 receptor blocker and proton pump inhibitor are prescribed in most PICU patients, but significant variation exists across health conditions and hospitals. Institutional preferences likely influence variation. Gastrointestinal hemorrhage is infrequent in the current era. Study data limitations prevent examination of associations between medication use and patient outcomes.

Collaboration


Dive into the Dingwei Dai's collaboration.

Top Co-Authors

Avatar

Chris Feudtner

Children's Hospital of Philadelphia

View shared research outputs
Top Co-Authors

Avatar

Jennifer Faerber

Children's Hospital of Philadelphia

View shared research outputs
Top Co-Authors

Avatar

Wenjun Zhong

Children's Hospital of Philadelphia

View shared research outputs
Top Co-Authors

Avatar

James A. Feinstein

University of Colorado Denver

View shared research outputs
Top Co-Authors

Avatar

Joseph W. Rossano

Children's Hospital of Philadelphia

View shared research outputs
Top Co-Authors

Avatar

Kimberly Y. Lin

Children's Hospital of Philadelphia

View shared research outputs
Top Co-Authors

Avatar

Tammy I. Kang

Baylor College of Medicine

View shared research outputs
Top Co-Authors

Avatar

Yuan-Shung Huang

Children's Hospital of Philadelphia

View shared research outputs
Top Co-Authors

Avatar

Jason L. Freedman

Children's Hospital of Philadelphia

View shared research outputs
Top Co-Authors

Avatar

Matthew Hall

Boston Children's Hospital

View shared research outputs
Researchain Logo
Decentralizing Knowledge