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Martin AN, Chan NW, Cheung DC, Fong ZV. A guide to large data sets for population-based cancer research: Strengths, limitations, and pitfalls. Cancer 2024. [PMID: 39158578 DOI: 10.1002/cncr.35535] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2024] [Revised: 07/27/2024] [Accepted: 08/01/2024] [Indexed: 08/20/2024]
Abstract
With the proliferation of cancer research based on large databases, misalignment of research questions and data set capabilities is inevitable. Nationally maintained databases are appealing to cancer researchers because of the ease of access to large amounts of patient data available for analysis and risk estimation. Data sets that are commonly used in cancer research include the National Cancer Database, the SEER (Surveillance, Epidemiology, and End Results) program of the National Cancer Institute, the SEER-Medicare database, the American College of Surgeons National Surgical Quality Improvement Program, and the Healthcare Cost and Utilization Project databases, among others. Each data set has pros and cons with respect to variable availability and the ability to analyze cancer-specific outcomes. It is critical for researchers to understand the strengths and limitations of each database. Changing variable definitions, the length of postoperative data collection, and the availability of patient-reported outcomes or social determinants of health data are examples of factors that researchers must consider when selecting a data set for research purposes. For the current review, the authors summarized the advantages and disadvantages of various national data sets for cohort studies in cancer populations.
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Affiliation(s)
- Allison N Martin
- Division of Surgical Oncology, Department of Surgery, Duke University Medical Center, Durham, North Carolina, USA
| | - Norine W Chan
- Division of Surgical Oncology, Department of Surgery, Duke University Medical Center, Durham, North Carolina, USA
| | - Dillon C Cheung
- Division of Surgical Oncology, Department of Surgery, Mayo Clinic Arizona, Mayo Clinic Alix School of Medicine, Phoenix, Arizona, USA
| | - Zhi Ven Fong
- Division of Surgical Oncology, Department of Surgery, Mayo Clinic Arizona, Mayo Clinic Alix School of Medicine, Phoenix, Arizona, USA
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Elgendy MM, Cortez J, Saker F, Mohamed MA, Aly H. Prevalence and Outcomes of Gastrointestinal Anomalies in Down Syndrome. Am J Perinatol 2024. [PMID: 38744322 DOI: 10.1055/s-0044-1786874] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/16/2024]
Abstract
OBJECTIVES Our objective was to investigate the prevalence of small intestinal atresia and Hirschsprung's disease (HD) in infants with Down syndrome (DS) and its impact on outcomes. STUDY DESIGN We analyzed the National Inpatient Sample dataset. We included infants with DS, small intestinal atresia, HD, and the concomitant occurrence of both conditions. Regression analysis was used to control clinical and demographic variables. RESULTS A total of 66,213,034 infants were included, of whom, 99,861 (0.15%) had DS. The concomitant occurrence of small intestinal atresia and HD was more frequent in infants with DS compared with the general population, adjusted odds ratio (aOR): 122, 95% confidence interval (CI): 96-154, (p < 0.001). Infants with DS and concomitant small intestinal atresia and HD had higher mortality compared with those without these conditions, aOR: 8.59, 95% CI: 1.95-37.8. CONCLUSION Infants with DS are at increased risk of concomitant small intestinal atresia and HD, and this condition is associated with increased mortality. KEY POINTS · Infants with Down syndrome are at increased risk of congenital GI anomalies.. · Infants with Down syndrome are at increased risk of necrotizing enterocolitis.. · Increased mortality in Down syndrome infants with concomitant small intestinal atresia and Hirschsprung's disease..
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Affiliation(s)
- Marwa M Elgendy
- Department of Pediatrics, University of Florida, Jacksonville, Florida
| | - Josef Cortez
- Department of Neonatology, University of Florida, Jacksonville, Florida
| | - Firas Saker
- Department of Neonatology, Cleveland Clinic Children's, Cleveland, Ohio
| | - Mohamed A Mohamed
- Department of Neonatology, Cleveland Clinic Children's, Cleveland, Ohio
| | - Hany Aly
- Department of Neonatology, Cleveland Clinic Children's, Cleveland, Ohio
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Sesay MM, McCracken CE, Stewart C, Simon G, Penfold R, Ahmedani B, Rossom RC, Lu CY, Beck A, Coleman KJ, Daida Y, Lynch FL, Zeber J, Copeland L, Owen-Smith A. Short report: Transition to International Classification of Diseases, 10th Revision and the prevalence of autism in a cohort of healthcare systems. AUTISM : THE INTERNATIONAL JOURNAL OF RESEARCH AND PRACTICE 2024; 28:1316-1321. [PMID: 38240250 PMCID: PMC11065615 DOI: 10.1177/13623613231220687] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/03/2024]
Abstract
LAY ABSTRACT Currently, the prevalence of autism spectrum disorder (henceforth "autism") is 1 in 36, an increasing trend from previous estimates. In 2015, the United States adopted a new version (International Classification of Diseases, 10th Revision) of the World Health Organization coding system, a standard for classifying medical conditions. Our goal was to examine how the transition to this new coding system impacted autism diagnoses in 10 healthcare systems. We obtained information from electronic medical records and insurance claims data from July 2014 through December 2016 for each healthcare system. We used member enrollment data for 30 consecutive months to observe changes 15 months before and after adoption of the new coding system. Overall, the rates of autism per 1000 enrolled members was increasing for 0- to 5-year-olds before transition to International Classification of Diseases, 10th Revision and did not substantively change after the new coding was in place. There was variation observed in autism diagnoses before and after transition to International Classification of Diseases, 10th Revision for other age groups. The change to the new coding system did not meaningfully affect autism rates at the participating healthcare systems. The increase observed among 0- to 5-year-olds is likely indicative of an ongoing trend related to increases in screening for autism rather than a shift associated with the new coding.
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Affiliation(s)
- Musu M Sesay
- Kaiser Permanente Georgia, Center for Research and Evaluation, Atlanta, GA, USA
| | | | - Christine Stewart
- Kaiser Permanente Washington, Health Research Institute, Seattle, WA, USA
| | - Gregory Simon
- Kaiser Permanente Washington, Health Research Institute, Seattle, WA, USA
| | - Robert Penfold
- Kaiser Permanente Washington, Health Research Institute, Seattle, WA, USA
| | - Brian Ahmedani
- Henry Ford Health System, Center for Health Policy & Health Services Research, Detroit, MI, USA
| | | | - Christine Y Lu
- Harvard Pilgrim Health Care Institute and Harvard Medical School, Boston, MA, USA
| | - Arne Beck
- Kaiser Permanente Colorado, Institute for Health Research, Aurora, CO, USA
| | - Karen J Coleman
- Kaiser Permanente Southern California, Department of Research & Evaluation, Pasadena, CA, USA
| | - Yihe Daida
- Kaiser Permanente Hawaii, Center for Integrated Health Care Research, Honolulu, HI, USA
| | - Frances L Lynch
- Kaiser Permanente Northwest, Center of Health Research, Portland, OR, USA
| | - John Zeber
- University of Massachusetts, Department of Health Promotion & Policy, Amherst, MA, USA
| | - Laurel Copeland
- VA Central Western Massachusetts Healthcare System, Leeds, MA, USA
| | - Ashli Owen-Smith
- Kaiser Permanente Georgia, Center for Research and Evaluation, Atlanta, GA, USA
- Georgia State University, School of Public Health, Atlanta, GA, USA
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Stallings EB, Isenburg JL, Rutkowski RE, Kirby RS, Nembhard WN, Sandidge T, Villavicencio S, Nguyen HH, McMahon DM, Nestoridi E, Pabst LJ. National population-based estimates for major birth defects, 2016-2020. Birth Defects Res 2024; 116:e2301. [PMID: 38277408 PMCID: PMC10898112 DOI: 10.1002/bdr2.2301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Revised: 12/26/2023] [Accepted: 01/03/2024] [Indexed: 01/28/2024]
Abstract
BACKGROUND We provide updated crude and adjusted prevalence estimates of major birth defects in the United States for the period 2016-2020. METHODS Data were collected from 13 US population-based surveillance programs that used active or a combination of active and passive case ascertainment methods to collect all birth outcomes. These data were used to calculate pooled prevalence estimates and national prevalence estimates adjusted for maternal race/ethnicity for all conditions, and maternal age for trisomies and gastroschisis. Prevalence was compared to previously published national estimates from 1999 to 2014. RESULTS Adjusted national prevalence estimates per 10,000 live births ranged from 0.63 for common truncus to 18.65 for clubfoot. Temporal changes were observed for several birth defects, including increases in the prevalence of atrioventricular septal defect, tetralogy of Fallot, omphalocele, trisomy 18, and trisomy 21 (Down syndrome) and decreases in the prevalence of anencephaly, common truncus, transposition of the great arteries, and cleft lip with and without cleft palate. CONCLUSION This study provides updated national estimates of selected major birth defects in the United States. These data can be used for continued temporal monitoring of birth defects prevalence. Increases and decreases in prevalence since 1999 observed in this study warrant further investigation.
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Affiliation(s)
- Erin B. Stallings
- National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Jennifer L. Isenburg
- National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Rachel E. Rutkowski
- Chiles Center, College of Public Health, University of South Florida, Tampa, Florida, USA
- National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Russell S. Kirby
- Chiles Center, College of Public Health, University of South Florida, Tampa, Florida, USA
| | - Wendy N. Nembhard
- Department of Epidemiology, Fay W. Boozman College of Public Health, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
- Arkansas Center for Birth Defects Research and Prevention, Little Rock, Arkansas, USA
| | - Theresa Sandidge
- Illinois Department of Public Health, Springfield, Illinois, USA
| | - Stephan Villavicencio
- Chiles Center, College of Public Health, University of South Florida, Tampa, Florida, USA
| | - Hoang H. Nguyen
- Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Daria M. McMahon
- South Carolina Department of Health and Environmental Control, Columbia, South Carolina, USA
| | - Eirini Nestoridi
- Division for Surveillance, Research, and Promotion of Perinatal Health, Massachusetts Department of Public Health, Boston, Massachusetts, USA
| | - Laura J. Pabst
- National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
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Romano CJ, Magallon SM, Hall C, Bukowinski AT, Gumbs GR, Conlin AMS. Validation of ICD-9-CM codes for major genitourinary birth defects in Military Health System administrative data, 2006-2014. Birth Defects Res 2024; 116:e2265. [PMID: 37933714 DOI: 10.1002/bdr2.2265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 09/28/2023] [Accepted: 10/17/2023] [Indexed: 11/08/2023]
Abstract
BACKGROUND The Department of Defense Birth and Infant Health Research program is dedicated to birth defects research and surveillance among military families. Here, we assess and refine the validity of International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes for selected genitourinary birth defects in the Military Health System (MHS). We additionally outline methods for the calculation of positive predictive value (PPV) and negative predictive value (NPV), sensitivity, and specificity using a stratified sampling design. METHODS Among military infants born from 2006 through 2014, a random sample of ICD-9-CM screen-positive cases (for six genitourinary birth defects) and screen-negative cases were selected for chart review. PPV, NPV, sensitivity, and specificity were calculated for individual defects and any included defect (i.e., overall); measures were weighted by the inverse probability of being sampled. RESULTS Of 461,557 infants, 686 were sampled for chart review. Bladder exstrophy was accurately reported (PPV: >90%), while the accuracy of renal dysplasia, renal agenesis/hypoplasia, and hypospadias was moderate (PPVs: 66%-68%) and congenital hydronephrosis was low (PPV: 20%). Specificity and NPVs always exceeded 98%. The overall PPV was 50%; however, excluding congenital hydronephrosis screen-positive cases and requiring at least two inpatient or outpatient diagnostic codes resulted in a PPV of 85%. CONCLUSIONS The validity of major genitourinary birth defect codes varied in MHS administrative data. The accuracy of an overall defect measure improved by omitting congenital hydronephrosis and requiring at least two diagnostic codes. Although PPV is generally useful for research, additional calculation of NPV, sensitivity, and specificity better informs the identification of appropriate selection criteria across surveillance and research settings.
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Affiliation(s)
- Celeste J Romano
- Deployment Health Research Department, Naval Health Research Center, San Diego, California, USA
- Leidos, Inc., San Diego, California, USA
| | - Sandra M Magallon
- Deployment Health Research Department, Naval Health Research Center, San Diego, California, USA
- Leidos, Inc., San Diego, California, USA
| | - Clinton Hall
- Deployment Health Research Department, Naval Health Research Center, San Diego, California, USA
- Leidos, Inc., San Diego, California, USA
| | - Anna T Bukowinski
- Deployment Health Research Department, Naval Health Research Center, San Diego, California, USA
- Leidos, Inc., San Diego, California, USA
| | - Gia R Gumbs
- Deployment Health Research Department, Naval Health Research Center, San Diego, California, USA
- Leidos, Inc., San Diego, California, USA
| | - Ava Marie S Conlin
- Deployment Health Research Department, Naval Health Research Center, San Diego, California, USA
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Agawu A, Kanagawa C, Wong J, Shults J, Feudtner C, Bewtra M. Pediatric Cholelithiasis in the United States: National Hospitalization Trends, 2006 to 2019. J Pediatr Gastroenterol Nutr 2023; 77:741-747. [PMID: 37755879 DOI: 10.1097/mpg.0000000000003959] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/28/2023]
Abstract
OBJECTIVES Previous studies have shown increasing hospitalizations for pediatric cholelithiasis, but recent trends are unknown. We conducted a national study of pediatric cholelithiasis to characterize recent hospitalization rate trends. METHODS Retrospective repeated cross-sectional analysis of pediatric (age < 18 years) cholelithiasis-associated hospitalizations combining data from the 2006 through 2019 Kids' Inpatient Database releases. The primary outcome of interest was the national hospitalization rate (per 100,000 children). We examined rates stratified by age group and sex and characterized hospitalization outcomes and characteristics for pediatric cholelithiasis. RESULTS Twenty-nine thousand one hundred two hospital records representing 42,282 gallstone-associated hospitalizations were identified. The hospitalization rate declined from 12.9 [95% confidence interval (CI): 12.6-13.2] in 2006 to 9.1 (95% CI: 8.8-9.3) in 2019. Consistent with the literature, hospitalizations occurred most often among teenagers (71%) and individuals with female sex (72%). The proportion of hospitalizations at freestanding children's hospitals increased significantly (from 18.2% to 35.1%). Finally, the proportion of hospitalizations involving a potentially medical predisposing condition increased significantly. CONCLUSIONS The estimated US hospitalization rate for pediatric cholelithiasis declined by 30% between 2006 and 2019. Female patients and teenagers had the largest decline, and hospitalizations increasingly occurred at freestanding children's hospitals. Potential explanations include potential changes in delivery of care as well as changes in population disease burden.
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Affiliation(s)
- Atu Agawu
- From the Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, the
| | | | - Janeline Wong
- the Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
| | - Justine Shults
- From the Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, the
- the Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
| | - Chris Feudtner
- From the Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA, the
| | - Meenakshi Bewtra
- the Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
- the Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA
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7
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Bliton JN. Inefficiency in Delivery of General Surgery to Black Patients: A National Inpatient Sample Study. Surg J (N Y) 2023; 9:e123-e134. [PMID: 38197094 PMCID: PMC10730284 DOI: 10.1055/s-0043-1777811] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Accepted: 11/21/2023] [Indexed: 01/11/2024] Open
Abstract
Background Racial disparities in outcomes among patients in the United States are widely recognized, but disparities in treatment are less commonly understood. This study is intended to identify treatment disparities in delivery of surgery and time to surgery for diagnoses managed by general surgeons-appendicitis, cholecystitis, gallstone pancreatitis, abdominal wall hernias, intestinal obstructions, and viscus perforations. Methods The National Inpatient Sample (NIS) was used to estimate and analyze disparities in delivery of surgery, type of surgery received, and timing of surgery. Age-adjusted means were compared by race/ethnicity and trends in treatment disparities were evaluated from 1993 to 2017. Linear modeling was used to measure trends in treatment and outcome disparities over time. Mediation analysis was performed to estimate contributions of all available factors to treatment differences. Relationships between treatment disparities and disparities in mortality and length of stay were similarly evaluated. Results Black patients were less likely to receive surgery for appendicitis, cholecystitis, pancreatitis, and hernias, and more likely to receive surgery for obstructions and perforations. Black patients experienced longer wait times prior to surgery, by 0.15 to 1.9 days, depending on the diagnosis. Mediation analysis demonstrated that these disparities are not attributable to the patient factors available in the NIS, and provided some insight into potential contributors to the observed disparities, such as hospital factors and socioeconomic factors. Conclusion Treatment disparities are present even with common indications for surgery, such as appendicitis, cholecystitis, and gallstone pancreatitis. Black patients are less likely to receive surgery with these diagnoses and must wait longer for surgery if it is performed. Surgeons should plan institution-level interventions to measure, explain, and potentially correct treatment disparities.
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Affiliation(s)
- John N. Bliton
- Department of Surgery, Jamaica Hospital Medical Center, Queens, New York
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8
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Bakker MK, Loane M, Garne E, Ballardini E, Cavero-Carbonell C, García L, Gissler M, Given J, Heino A, Jamry-Dziurla A, Jordan S, Urhoj SK, Latos-Bieleńska A, Limb E, Lutke R, Neville AJ, Pierini A, Santoro M, Scanlon I, Tan J, Wellesley D, de Walle HEK, Morris JK. Accuracy of congenital anomaly coding in live birth children recorded in European health care databases, a EUROlinkCAT study. Eur J Epidemiol 2023; 38:325-334. [PMID: 36807730 PMCID: PMC10033551 DOI: 10.1007/s10654-023-00971-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Accepted: 01/28/2023] [Indexed: 02/21/2023]
Abstract
Electronic health care databases are increasingly being used to investigate the epidemiology of congenital anomalies (CAs) although there are concerns about their accuracy. The EUROlinkCAT project linked data from eleven EUROCAT registries to electronic hospital databases. The coding of CAs in electronic hospital databases was compared to the (gold standard) codes in the EUROCAT registries. For birth years 2010-2014 all linked live birth CA cases and all children identified in the hospital databases with a CA code were analysed. Registries calculated sensitivity and Positive Predictive Value (PPV) for 17 selected CAs. Pooled estimates for sensitivity and PPV were then calculated for each anomaly using random effects meta-analyses. Most registries linked more than 85% of their cases to hospital data. Gastroschisis, cleft lip with or without cleft palate and Down syndrome were recorded in hospital databases with high accuracy (sensitivity and PPV ≥ 85%). Hypoplastic left heart syndrome, spina bifida, Hirschsprung's disease, omphalocele and cleft palate showed high sensitivity (≥ 85%), but low or heterogeneous PPV, indicating that hospital data was complete but may contain false positives. The remaining anomaly subgroups in our study, showed low or heterogeneous sensitivity and PPV, indicating that the information in the hospital database was incomplete and of variable validity. Electronic health care databases cannot replace CA registries, although they can be used as an additional ascertainment source for CA registries. CA registries are still the most appropriate data source to study the epidemiology of CAs.
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Affiliation(s)
- Marian K Bakker
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
| | - Maria Loane
- Institute for Nursing and Health Research, Ulster University, Northern Ireland, Newtownabbey, UK
| | - Ester Garne
- Department of Paediatrics and Adolescent Medicine, Lillebaelt Hospital, University Hospital of Southern Denmark, Kolding, Denmark
| | - Elisa Ballardini
- Neonatal Intensive Care Unit, Paediatric Section, IMER Registry (Emilia Romagna Registry of Birth Defects), Department of Medical Sciences, University of Ferrara, Ferrara, Italy
| | - Clara Cavero-Carbonell
- Rare Diseases Research Unit, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, Valencia, Spain
| | - Laura García
- Rare Diseases Research Unit, Foundation for the Promotion of Health and Biomedical Research in the Valencian Region, Valencia, Spain
| | - Mika Gissler
- Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | - Joanne Given
- Institute for Nursing and Health Research, Ulster University, Northern Ireland, Newtownabbey, UK
| | - Anna Heino
- Finnish Institute for Health and Welfare (THL), Helsinki, Finland
| | - Anna Jamry-Dziurla
- Polish Registry of Congenital Malformations, Chair and Department of Medical Genetics, University of Medical Sciences, Poznan, Poland
| | - Sue Jordan
- Faculty of Medicine, Health and Life Science, Swansea University, Swansea, UK
| | - Stine Kjaer Urhoj
- Department of Paediatrics and Adolescent Medicine, Lillebaelt Hospital, University Hospital of Southern Denmark, Kolding, Denmark
- Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Anna Latos-Bieleńska
- Polish Registry of Congenital Malformations, Chair and Department of Medical Genetics, University of Medical Sciences, Poznan, Poland
| | - Elisabeth Limb
- Population Health Research Institute, St George's University of London, London, UK
| | - Renee Lutke
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Amanda J Neville
- IMER Registry, Centre for Epidemiology and Clinical Research, University of Ferrara and Azienda, Ospedaliero Universitario Di Ferrara, Ferrara, Italy
| | - Anna Pierini
- Unit of Epidemiology of Rare Diseases and Congenital Anomalies, Institute of Clinical Physiology, National Research Council, Pisa, Italy
| | - Michele Santoro
- Unit of Epidemiology of Rare Diseases and Congenital Anomalies, Institute of Clinical Physiology, National Research Council, Pisa, Italy
| | - Ieuan Scanlon
- Faculty of Medicine, Health and Life Science, Swansea University, Swansea, UK
| | - Joachim Tan
- Population Health Research Institute, St George's University of London, London, UK
| | - Diana Wellesley
- University of Southampton and Wessex Clinical Genetics Service, Princess Anne Hospital, Southampton, SO16 5YA, UK
| | - Hermien E K de Walle
- Department of Genetics, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Joan K Morris
- Population Health Research Institute, St George's University of London, London, UK
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Florea A, Sy LS, Ackerson BK, Qian L, Luo Y, Becerra-Culqui T, Lee GS, Tian Y, Zheng C, Bathala R, Tartof SY, Campora L, Ceregido MA, Kuznetsova A, Poirrier JE, Rosillon D, Valdes L, Cheuvart B, Mesaros N, Meyer N, Guignard A, Tseng HF. Investigating Tetanus, Diphtheria, Acellular Pertussis Vaccination During Pregnancy and Risk of Congenital Anomalies. Infect Dis Ther 2023; 12:411-423. [PMID: 36520325 PMCID: PMC9925651 DOI: 10.1007/s40121-022-00731-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Accepted: 11/14/2022] [Indexed: 12/23/2022] Open
Abstract
INTRODUCTION This observational retrospective matched cohort study evaluated the safety of a prenatal tetanus, diphtheria, acellular pertussis (Tdap) vaccination, Boostrix. We previously reported on the risk of maternal and neonatal outcomes; here we report on the risk of congenital anomalies in infants at birth through 6 months of age. METHODS The study included pregnant Kaiser Permanente Southern California members. Women who received the Tdap vaccine on or after the 27th week of pregnancy between January 2018 and January 2019 were matched to women who were pregnant between January 2012 and December 2014 and were not vaccinated with Tdap during pregnancy. Unadjusted and adjusted relative risks (aRRs) with 95% confidence intervals were estimated by Poisson regression. Quantitative secular trend analyses, from 2011 to 2017, were conducted on congenital anomalies with a statistically significant aRR > 1. RESULTS The analysis consisted of 16,350 and 16,088 live-born infants in the Tdap-exposed and unexposed cohorts, respectively. Of the 14 congenital anomaly body systems evaluated, 8 (eye, ear/face/neck, respiratory, upper gastrointestinal, genital, renal, musculoskeletal, integument) had statistically significant elevated aRRs, with point estimates ranging from 1.17 to 2.02. The observed elevated aRRs were consistent with their respective secular increases over time. CONCLUSION Cautious interpretation of these findings is warranted as these increases may have resulted from improved identification and diagnosis. Furthermore, the biological plausibility of an association between maternal vaccine exposure in the third trimester of pregnancy and birth defects is low. The overall study findings support the safety of maternal immunization with Boostrix during the third trimester of pregnancy. TRIAL REGISTRATION ClinicalTrials.gov identifier, NCT03463577.
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Affiliation(s)
- Ana Florea
- Department of Research and Evaluation, Southern California Permanente Medical Group, Kaiser Permanente Southern California, Kaiser Permanente, 100 S Los Robles Ave, 2nd Floor, Pasadena, CA, 91101, USA.
| | - Lina S Sy
- Department of Research and Evaluation, Southern California Permanente Medical Group, Kaiser Permanente Southern California, Kaiser Permanente, 100 S Los Robles Ave, 2nd Floor, Pasadena, CA, 91101, USA
| | - Bradley K Ackerson
- Pediatrics and Pediatric Infectious Diseases, Southern California Permanente Medical Group, Harbor City, CA, USA
| | - Lei Qian
- Department of Research and Evaluation, Southern California Permanente Medical Group, Kaiser Permanente Southern California, Kaiser Permanente, 100 S Los Robles Ave, 2nd Floor, Pasadena, CA, 91101, USA
| | - Yi Luo
- Department of Research and Evaluation, Southern California Permanente Medical Group, Kaiser Permanente Southern California, Kaiser Permanente, 100 S Los Robles Ave, 2nd Floor, Pasadena, CA, 91101, USA
| | - Tracy Becerra-Culqui
- Department of Research and Evaluation, Southern California Permanente Medical Group, Kaiser Permanente Southern California, Kaiser Permanente, 100 S Los Robles Ave, 2nd Floor, Pasadena, CA, 91101, USA
- Department of Occupational Therapy, California State University, Dominguez Hills, Carson, CA, USA
| | - Gina S Lee
- Department of Research and Evaluation, Southern California Permanente Medical Group, Kaiser Permanente Southern California, Kaiser Permanente, 100 S Los Robles Ave, 2nd Floor, Pasadena, CA, 91101, USA
| | - Yun Tian
- Department of Research and Evaluation, Southern California Permanente Medical Group, Kaiser Permanente Southern California, Kaiser Permanente, 100 S Los Robles Ave, 2nd Floor, Pasadena, CA, 91101, USA
- Pharmaceutical Product Development, Thermo Fisher Scientific, Wilmington, NC, USA
| | - Chengyi Zheng
- Department of Research and Evaluation, Southern California Permanente Medical Group, Kaiser Permanente Southern California, Kaiser Permanente, 100 S Los Robles Ave, 2nd Floor, Pasadena, CA, 91101, USA
| | - Radha Bathala
- Department of Research and Evaluation, Southern California Permanente Medical Group, Kaiser Permanente Southern California, Kaiser Permanente, 100 S Los Robles Ave, 2nd Floor, Pasadena, CA, 91101, USA
| | - Sara Y Tartof
- Department of Research and Evaluation, Southern California Permanente Medical Group, Kaiser Permanente Southern California, Kaiser Permanente, 100 S Los Robles Ave, 2nd Floor, Pasadena, CA, 91101, USA
- Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA, USA
| | | | | | | | | | | | | | | | - Narcisa Mesaros
- GSK Vaccines, Wavre, Belgium
- The Janssens Pharmaceutical Companies of Johnson & Johnson, Beerse, Belgium
| | | | | | - Hung-Fu Tseng
- Department of Research and Evaluation, Southern California Permanente Medical Group, Kaiser Permanente Southern California, Kaiser Permanente, 100 S Los Robles Ave, 2nd Floor, Pasadena, CA, 91101, USA
- Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, CA, USA
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Perin J, Mai CT, De Costa A, Strong K, Diaz T, Blencowe H, Berry RJ, Williams JL, Liu L. Systematic estimates of the global, regional and national under-5 mortality burden attributable to birth defects in 2000-2019: a summary of findings from the 2020 WHO estimates. BMJ Open 2023; 13:e067033. [PMID: 36717144 PMCID: PMC9887698 DOI: 10.1136/bmjopen-2022-067033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/31/2023] Open
Abstract
OBJECTIVES To examine the potential for bias in the estimate of under-5 mortality due to birth defects recently produced by the WHO and the Maternal and Child Epidemiology Estimation research group. DESIGN Systematic analysis. METHODS We examined the estimated number of under-5 deaths due to birth defects, the birth defect specific under-5 mortality rate, and the per cent of under-5 mortality due to birth defects, by geographic region, national income and under-5 mortality rate for three age groups from 2000 to 2019. RESULTS The under-5 deaths per 1000 live births from birth defects fell from 3.4 (95% uncertainty interval (UI) 3.1-3.8) in 2000 to 2.9 (UI 2.6-3.3) in 2019. The per cent of all under-5 mortality attributable to birth defects increased from 4.6% (UI 4.1%-5.1%) in 2000 to 7.6% (UI 6.9%-8.6%) in 2019. There is significant variability in mortality due to birth defects by national income level. In 2019, the under-5 mortality rate due to birth defects was less in high-income countries than in low-income and middle-income countries, 1.3 (UI 1.2-1.3) and 3.0 (UI 2.8-3.4) per 1000 live births, respectively. These mortality rates correspond to 27.7% (UI 26.6%-28.8%) of all under-5 mortality in high-income countries being due to birth defects, and 7.4% (UI 6.7%-8.2%) in low-income and middle-income countries. CONCLUSIONS While the under-5 mortality due to birth defects is declining, the per cent of under-5 mortality attributable to birth defects has increased, with significant variability across regions globally. The estimates in low-income and middle-income countries are likely underestimated due to the nature of the WHO estimates, which are based in part on verbal autopsy studies and should be taken as a minimum estimate. Given these limitations, comprehensive and systematic estimates of the mortality burden due to birth defects are needed to estimate the actual burden.
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Affiliation(s)
- Jamie Perin
- Department of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Cara T Mai
- National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Ayesha De Costa
- Department of Maternal, Newborn, Child and Adolescent Health, and Ageing, World Health Organization, Geneve, Switzerland
| | - Kathleen Strong
- Department of Maternal, Newborn, Child and Adolescent Health, and Ageing, World Health Organization, Geneve, Switzerland
| | - Theresa Diaz
- Department of Maternal, Newborn, Child and Adolescent Health, World Health Organization, Genève, Switzerland
| | - Hannah Blencowe
- Department of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK
| | - Robert J Berry
- National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Jennifer L Williams
- National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
| | - Li Liu
- Population, Family, and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA
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Yu B, Zhang CA, Li S, Chen T, Mulloy E, Shaw GM, Eisenberg ML. Preconception paternal comorbidities and offspring birth defects: Analysis of a large national data set. Birth Defects Res 2023; 115:160-170. [PMID: 36106720 DOI: 10.1002/bdr2.2082] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 07/25/2022] [Accepted: 08/21/2022] [Indexed: 01/26/2023]
Abstract
BACKGROUND Despite the fact that the father contributes half the genome to a child, associations between paternal factors and birth defects are poorly understood. OBJECTIVES To investigate the association between preconception paternal health and birth defects in the offspring. MATERIALS AND METHODS We conducted analysis of a national cohort study utilizing the IBM Marketscan Research Database, which includes data on reimbursed private healthcare claims in the United States from 2007 to 2016. The potential association between paternal comorbidities, as measured by the components of metabolic syndrome (MetS), and any birth defect in the offspring was analyzed. RESULTS Of the 712,774 live births identified, 21.2% of children were born to fathers with at least one component of the metabolic syndrome (MetS ≥1) prior to conception. Compared to infants born to fathers with no components of the metabolic syndrome, a modestly higher percentage of infants with cardiac birth defects were born to fathers with more components of MetS (MetS = 1, OR [95% CI]: 1.07 [1.01-1.13]; MetS ≥2, 1.17 [1.08-1.26], in comparison to MetS = 0) after adjusting for maternal and paternal factors. Similarly, a higher percentage of infants with respiratory defects were born to fathers with two or more components of metabolic syndrome (MetS ≥2, OR [95% CI]: 1.45 [1.22-1.71]). DISCUSSION AND CONCLUSION In this private insurance claims-based study, we found that fathers with metabolic syndrome-related diseases before conception were at increased risk for having a child affected by birth defects, especially cardiac and respiratory defects, and this association was not influenced by paternal age or assessed maternal factors.
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Affiliation(s)
- Bo Yu
- Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, California, USA
- Stanford Maternal & Child Health Research Institute, Stanford University School of Medicine, Stanford, California, USA
| | - Chiyuan Amy Zhang
- Department of Urology, Stanford University School of Medicine, Stanford, California, USA
| | - Shufeng Li
- Department of Urology, Stanford University School of Medicine, Stanford, California, USA
| | - Tony Chen
- Department of Urology, Stanford University School of Medicine, Stanford, California, USA
| | - Evan Mulloy
- Department of Urology, Stanford University School of Medicine, Stanford, California, USA
| | - Gary M Shaw
- Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA
| | - Michael L Eisenberg
- Department of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, California, USA
- Department of Urology, Stanford University School of Medicine, Stanford, California, USA
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12
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Rainey JC, Satcher L, Nechuta SJ. A population-based descriptive study of neonatal abstinence syndrome using hospital discharge and birth certificate data. JOURNAL OF SUBSTANCE USE 2022; 28:789-796. [PMID: 38751610 PMCID: PMC11095638 DOI: 10.1080/14659891.2022.2098841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Accepted: 07/03/2022] [Indexed: 10/17/2022]
Abstract
BACKGROUND Neonatal abstinence syndrome (NAS), largely a consequence of prenatal opioid exposure, results in substantial morbidity. Population-based studies of NAS going beyond Medicaid populations and hospital discharge data (HDD) alone are limited. Using statewide Tennessee (TN) HDD and birth certificate (BC) data, we examined trends and evaluated maternal and infant factors associated with NAS. METHODS We conducted a population-based descriptive study during 2013-2017 in TN. NAS infants were identified with International Classification of Diseases (ICD)-9-Clinical Modification (CM) and ICD-10-CM codes in HDD and linked to BC data using iterative deterministic matching algorithms. Descriptive analyses were conducted for infant and maternal factors (exposures) by NAS (outcome). Multivariable logistic regression models were used to estimate adjusted ORs and 95% CIs. RESULTS NAS incidence increased from 13.4 to 15.4 per 1,000 live births between 2013-2017 (15% increase; ptrend<0.001), but remained stable in 2017. In adjusted models, maternal factors associated with reduced odds of NAS included breastfeeding (OR:0.55, 95%CI:0.52-0.59) and prenatal care (OR:0.36, 95%CI:0.32-0.41). Smoking, preterm birth and lower birthweight were associated with increased odds of NAS. CONCLUSIONS This study highlights the value of utilizing surveillance data to monitor trends and correlates of NAS to inform prevention efforts and targeting of public health resources.
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Affiliation(s)
- Jacob C Rainey
- Johns Hopkins University, Bloomberg School of Public Health, Department of Mental Health, 615 North Wolfe Street, Baltimore, MD 21205, United States
- Tennessee Department of Health, Office of Informatics and Analytics, 710 James Robertson Parkway, Nashville, TN 37243, United States
| | - Lacee Satcher
- Tennessee Department of Health, Office of Informatics and Analytics, 710 James Robertson Parkway, Nashville, TN 37243, United States
- Vanderbilt University, Department of Sociology, PMB 351811, Nashville, TN 37235, United States
| | - Sarah J Nechuta
- Tennessee Department of Health, Office of Informatics and Analytics, 710 James Robertson Parkway, Nashville, TN 37243, United States
- Grand Valley State University, College of Health Professions, Department of Public Health, 500 Lafayette Street, Grand Rapids, MI 49503, United States
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13
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Bhatt P, Poku FA, Umscheid J, Ayensu M, Parmar N, Vasudeva R, Donda K, Doshi H, Dapaah-Siakwan F. Trends in prevalence and mortality of gastroschisis and omphalocele in the United States from 2010 to 2018. World J Pediatr 2022; 18:511-514. [PMID: 35294711 DOI: 10.1007/s12519-022-00544-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Accepted: 03/08/2022] [Indexed: 11/29/2022]
Affiliation(s)
| | | | - Jacob Umscheid
- University of Kansas School of Medicine, Wichita, KS, USA
| | | | | | | | | | - Harshit Doshi
- Golisano Children's Hospital of Southwest Florida, Fort Myers, FL, USA
| | - Fredrick Dapaah-Siakwan
- Neonatal Intensive Care Unit, Valley Children's Hospital, 9300 Valley Children's Place, SE 20, Madera, CA, 93636, USA.
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14
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Kumar RG, Zhong X, Whiteneck GG, Mazumdar M, Hammond FM, Egorova N, Lercher K, Dams-O'Connor K. Development and Validation of a Functionally Relevant Comorbid Health Index in Adults Admitted to Inpatient Rehabilitation for Traumatic Brain Injury. J Neurotrauma 2022; 39:67-75. [PMID: 34779252 PMCID: PMC8917887 DOI: 10.1089/neu.2021.0180] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
Several studies have characterized comorbidities among individuals with traumatic brain injury (TBI); however, there are few validated TBI comorbidity indices. Widely used indices (e.g., Elixhauser Comorbidity Index [ECI]) were developed in other patient populations and anchor to mortality or healthcare utilization, not functioning, and notably exclude conditions known to co-occur with TBI. The objectives of this study were to develop and validate a functionally relevant TBI comorbidity index (Fx-TBI-CI) and to compare prognostication of the Fx-TBI-CI with the ECI. We used data from the eRehabData database to divide the sample randomly into a training sample (N = 21,292) and an internal validation sample (N = 9166). We used data from the TBI Model Systems National Database as an external validation sample (N = 1925). We used least absolute shrinkage and selection operator (LASSO) regression to narrow the list of functionally relevant conditions from 39 to 12. In internal validation, the Fx-TBI-CI explained 14.1% incremental variance over an age and sex model predicting the Functional Independence Measure (FIM) Motor subscale at inpatient rehabilitation discharge, compared with 2.4% explained by the ECI. In external validation, the Fx-TBI-CI explained 4.9% incremental variance over age and sex and 3.8% over age, sex, and Glasgow Coma Scale score,compared with 2.1% and 1.6% incremental variance, respectively, explained by the ECI. An unweighted Sum Condition Score including the same conditions as the Fx-TBI-CI conferred similar prognostication. Although the Fx-TBI-CI had only modest incremental variance over demographics and injury severity in predicting functioning in external validation, the Fx-TBI-CI outperformed the ECI in predicting post-TBI function.
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Affiliation(s)
- Raj G. Kumar
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Xiaobo Zhong
- Institute for Healthcare Delivery Science, Mount Sinai Health System, New York, New York, USA.,Department of Population Health Science and Policy, and Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | | | - Madhu Mazumdar
- Institute for Healthcare Delivery Science, Mount Sinai Health System, New York, New York, USA.,Department of Population Health Science and Policy, and Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Flora M. Hammond
- Department of Physical Medicine and Rehabilitation, Indiana University School of Medicine, Indianapolis, Indiana, USA.,Rehabilitation Hospital of Indiana, Indianapolis, Indiana, USA
| | - Natalia Egorova
- Department of Population Health Science and Policy, and Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Kirk Lercher
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Kristen Dams-O'Connor
- Department of Rehabilitation and Human Performance, Icahn School of Medicine at Mount Sinai, New York, New York, USA.,Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.,Address correspondence to: Kristen Dams-O'Connor, PhD, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1163, New York, NY 10029, USA kristen.dams-o'
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15
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Metcalfe A, Sheikh M, Hetherington E. Impact of the ICD-9-CM to ICD-10-CM transition on the incidence of severe maternal morbidity among delivery hospitalizations in the United States. Am J Obstet Gynecol 2021; 225:422.e1-422.e11. [PMID: 33872591 DOI: 10.1016/j.ajog.2021.03.036] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Revised: 03/16/2021] [Accepted: 03/30/2021] [Indexed: 10/21/2022]
Abstract
BACKGROUND Surveillance of maternal mortality and severe maternal morbidity is important to identify temporal trends, evaluate the impact of clinical practice changes or interventions, and monitor quality of care. A common source for severe maternal morbidity surveillance is hospital discharge data. On October 1, 2015, all hospitals in the United States transitioned from the International Classification of Diseases, Ninth Revision, Clinical Modification to the International Classification of Diseases, Tenth Revision, Clinical Modification coding for diagnoses and procedures. OBJECTIVE This study aimed to evaluate the impact of the transition from the International Classification of Diseases, Ninth Revision, Clinical Modification to the International Classification of Diseases, Tenth Revision, Clinical Modification coding systems on the incidence of severe maternal morbidity in the United States in hospital discharge data. STUDY DESIGN Using data from the National Inpatient Sample, obstetrical deliveries between January 1, 2012, and December 31, 2017, were identified using a validated case definition. Severe maternal morbidity was defined using the International Classification of Diseases, Ninth Revision, Clinical Modification (January 1, 2012, to September 30, 2015) and the International Classification of Diseases, Tenth Revision, Clinical Modification (October 1, 2015, to December 31, 2017) codes provided by the Centers for Disease Control and Prevention. An interrupted time series and segmented regression analysis was used to assess the impact of the transition from the International Classification of Diseases, Ninth Revision, Clinical Modification to the International Classification of Diseases, Tenth Revision, Clinical Modification coding on the incidence of severe maternal morbidity per 1000 obstetrical deliveries. RESULTS From 22,751,941 deliveries, the incidence of severe maternal morbidity in the International Classification of Diseases, Ninth Revision, Clinical Modification coding era was 19.04 per 1000 obstetrical deliveries and decreased to 17.39 per 1000 obstetrical deliveries in the International Classification of Diseases, Tenth Revision, Clinical Modification coding era (P<.001). The transition to International Classification of Diseases, Tenth Revision, Clinical Modification coding led to an immediate decrease in the incidence of severe maternal morbidity (-2.26 cases of 1000 obstetrical deliveries) (P<.001). When blood products transfusion was removed from the case definition, the magnitude of the decrease in the incidence of SMM was much smaller (-0.60 cases/1000 obstetric deliveries), but still significant (P<.001). CONCLUSION After the transition to the International Classification of Diseases, Tenth Revision, Clinical Modification coding for health diagnoses and procedures in the United States, there was an abrupt statistically significant and clinically meaningful decrease in the incidence of severe maternal morbidity in hospital discharge data. Changes in the underlying health of the obstetrical population are unlikely to explain the sudden change in severe maternal morbidity. Although much work has been done to validate the International Classification of Diseases, Ninth Revision, Clinical Modification codes for severe maternal morbidity, it is critical that validation studies be undertaken to validate the International Classification of Diseases, Tenth Revision, Clinical Modification codes for severe maternal morbidity to permit ongoing surveillance, quality improvement, and research activities that rely on hospital discharge data.
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16
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Ko JY, Hirai AH, Owens PL, Stocks C, Patrick SW. Neonatal Abstinence Syndrome and Maternal Opioid-Related Diagnoses: Analysis of ICD-10-CM Transition, 2013-2017. Hosp Pediatr 2021; 11:902-908. [PMID: 34321311 PMCID: PMC11005666 DOI: 10.1542/hpeds.2021-005845] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
BACKGROUND AND OBJECTIVES Hospital discharge records remain a common data source for tracking the opioid crisis among pregnant women and infants. The International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) transition from the International Classification of Diseases, Ninth Revision, Clinical Modification may have affected surveillance. Our aim was to evaluate this transition on rates of neonatal abstinence syndrome (NAS), maternal opioid use disorder (OUD), and opioid-related diagnoses (OUD with ICD-10-CM codes for long-term use of opioid analgesics and unspecified opioid use). METHODS Data from the 2013-2017 Healthcare Cost and Utilization Project's National Inpatient Sample were used to conduct, interrupted time series analysis and log-binomial segmented regression to assess whether quarterly rates differed across the transition. RESULTS From 2013 to 2017, an estimated 18.8 million birth and delivery hospitalizations were represented. The ICD-10-CM transition was not associated with NAS rates (rate ratio [RR]: 0.99; 95% confidence interval [CI]: 0.90-1.08; P = .79) but was associated with 11% lower OUD rates (RR: 0.89; 95% CI: 0.80-0.98; P = .02) and a decrease in the quarterly trend (RR: 0.98; 95% CI: 0.96-1.00; P = .04). The transition was not associated with maternal OUD plus long-term use rates (RR: 0.98; 95% CI: 0.89-1.09; P = .76) but was associated with a 20% overall increase in opioid-related diagnosis rates including long-term and unspecified use (RR: 1.20; 95% CI: 1.09-1.32; P < .001). CONCLUSIONS The ICD-10-CM transition did not appear to affect NAS. However, coding of maternal OUD alone may not capture the same population across the transition, which confounds the interpretation of trend data spanning this time period.
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Affiliation(s)
- Jean Y Ko
- Division of Reproductive Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, US Department of Health and Human Services, Atlanta
- Commissioned Corps, US Public Health Service, US Department of Health and Human Services, Rockville, Maryland
| | - Ashley H Hirai
- Maternal and Child Health Bureau, Health Resources and Services Administration
| | - Pamela L Owens
- Center for Financing, Access and Cost Trends, Agency for Healthcare Research and Quality, US Department of Health and Human Services, Rockville, Maryland
| | - Carol Stocks
- Center for Financing, Access and Cost Trends, Agency for Healthcare Research and Quality, US Department of Health and Human Services, Rockville, Maryland
| | - Stephen W Patrick
- Division of Reproductive Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, US Department of Health and Human Services, Atlanta
- Departments of Pediatrics and Health Policy, Vanderbilt Center for Child Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee
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17
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Bedard NA, Carender CN, DeMik DE, Browne JA, Schwarzkopf R, Callaghan JJ. The Impact of Transitioning From International Classification of Diseases, Ninth Revision to International Classification of Diseases, Tenth Revision on Reported Complication Rates Following Primary Total Knee Arthroplasty. J Arthroplasty 2021; 36:1617-1620. [PMID: 33388203 DOI: 10.1016/j.arth.2020.12.009] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Revised: 11/24/2020] [Accepted: 12/07/2020] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND In 2015, the healthcare system transitioned from International Classification of Diseases, Ninth Revision (ICD-9) coding to the Tenth Revision (ICD-10). We sought to determine the effect of this change on the reported incidence of complications following total knee arthroplasty (TKA). METHODS The Humana administrative claims database was queried from 2 years prior to October 1, 2015 (ICD-9 cohort) and for 1 year after this date (ICD-10 cohort) to identify all TKA procedures. Complications occurring within 6 months of surgery were captured using the respective coding systems. Incidence of each complication was compared between cohorts using risk ratios (RR) and 95% confidence intervals. RESULTS There were 19,009 TKAs in the ICD-10 cohort and 38,172 TKAs in the ICD-9 cohort. The incidence of each complication analyzed was significantly higher in the ICD-9 cohort relative to the ICD-10 cohort. Periprosthetic joint infection occurred in 1.9% vs 1.3% (RR 1.5, 1.3-1.9), loosening in 0.3% vs 0.1% (RR 2.7, 1.8-4.9), periprosthetic fracture in 0.3% vs 0.1% (RR 3.0, 1.6-4.5), and other mechanical complications in 0.7% vs 0.4% (RR 2.0, 1.5-2.5) (P < .05 for all). CONCLUSION The transition from ICD-9 to ICD-10 coding has altered the reported incidence of complications following TKA. These results are likely due to the added complexity of ICD-10 which is joint and laterality specific. It is important to understand the differences between coding systems as this data is used for quality initiatives, risk adjustment models, and clinical research. Thoughtful methodology will be necessary when ICD-9 and ICD-10 data are being analyzed simultaneously.
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Affiliation(s)
- Nicholas A Bedard
- Department of Orthopedics and Rehabilitation, University of Iowa Hospitals and Clinics, Iowa City, IA
| | - Christopher N Carender
- Department of Orthopedics and Rehabilitation, University of Iowa Hospitals and Clinics, Iowa City, IA
| | - David E DeMik
- Department of Orthopedics and Rehabilitation, University of Iowa Hospitals and Clinics, Iowa City, IA
| | - James A Browne
- Department of Orthopaedic Surgery, University of Virginia Health System, Charlottesville, VA
| | - Ran Schwarzkopf
- Department of Orthopedic Surgery, NYU Langone Orthopedic Hospital, NYU Langone Health, New York, NY
| | - John J Callaghan
- Department of Orthopedics and Rehabilitation, University of Iowa Hospitals and Clinics, Iowa City, IA
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Sebastião YV, Metzger GA, Chisolm DJ, Xiang H, Cooper JN. Impact of ICD-9-CM to ICD-10-CM coding transition on trauma hospitalization trends among young adults in 12 states. Inj Epidemiol 2021; 8:4. [PMID: 33487175 PMCID: PMC7830822 DOI: 10.1186/s40621-021-00298-x] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Accepted: 01/05/2021] [Indexed: 01/26/2023] Open
Abstract
BACKGROUND We aimed to estimate the impact of the International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) coding transition on traumatic injury-related hospitalization trends among young adults across a geographically and demographically diverse group of U.S. states. METHODS Interrupted time series analyses were conducted using statewide inpatient databases from 12 states and including traumatic injury-related hospitalizations in adults aged 19-44 years in 2011-2017. Segmented regression models were used to estimate the impact of the October 2015 coding transition on external cause of injury (ECOI) completeness (percentage of hospitalizations with a documented ECOI code) and on population-level rates of injury-related hospitalizations by nature, intent, mechanism, and severity of injury. RESULTS The transition to ICD-10-CM was associated with a drop in ECOI completion in the transition month (- 3.7%; P < .0001), but there was no significant change in the positive trend in ECOI completion from the pre- to post-transition periods. There were significant increases post-transition in the measured rates of hospitalization for traumatic brain injury (TBI), unintentional injury, mild injury (injury severity score (ISS) < 9), and injuries caused by drowning, firearms, machinery, other pedestrian, suffocation, and unspecified mechanism. Conversely, there were significant decreases in October 2015 in the rates of hospitalization for assault, injuries of undetermined intent, injuries of moderate severity (ISS 9-15), and injuries caused by fire/burn, other pedal cyclist, other transportation, natural/environmental, and other specified mechanism. A significant increase in the percentage of hospitalizations classified as resulting from severe injury (ISS > 15) was observed when the general equivalence mapping maximum severity method for converting ICD-10-CM codes to ICD-9-CM codes was used. State-specific results for the outcomes of ECOI completion and TBI-related hospitalization rates are provided in an online supplement. CONCLUSIONS The U.S. transition from ICD-9-CM to ICD-10-CM coding led to a significant decrease in ECOI completion and several significant changes in measured rates of injury-related hospitalizations by injury intent, mechanism, nature, and severity. The results of this study can inform the design and analysis of future traumatic injury-related health services research studies that use both ICD-9-CM and ICD-10-CM coded data. LEVEL OF EVIDENCE II (Interrupted Time Series).
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Affiliation(s)
- Yuri V. Sebastião
- grid.240344.50000 0004 0392 3476Center for Surgical Outcomes Research and Center for Innovation in Pediatric Practice, Abigail Wexner Research Institute at Nationwide Children’s Hospital, Columbus, OH USA ,grid.410711.20000 0001 1034 1720Present address: Division of Global Women’s Health, School of Medicine, University of North Carolina, Chapel Hill, NC USA
| | - Gregory A. Metzger
- grid.240344.50000 0004 0392 3476Center for Surgical Outcomes Research and Center for Innovation in Pediatric Practice, Abigail Wexner Research Institute at Nationwide Children’s Hospital, Columbus, OH USA ,grid.261331.40000 0001 2285 7943Department of Surgery, College of Medicine, The Ohio State University, Columbus, OH USA
| | - Deena J. Chisolm
- grid.240344.50000 0004 0392 3476Center for Surgical Outcomes Research and Center for Innovation in Pediatric Practice, Abigail Wexner Research Institute at Nationwide Children’s Hospital, Columbus, OH USA ,grid.240344.50000 0004 0392 3476Center for Population Health and Equity Research and Center for Innovation in Pediatric Practice, Abigail Wexner Research Institute at Nationwide Children’s Hospital, Columbus, OH USA ,grid.261331.40000 0001 2285 7943Department of Pediatrics, College of Medicine, The Ohio State University, Columbus, OH USA ,grid.261331.40000 0001 2285 7943Division of Health Services Management & Policy, College of Public Health, The Ohio State University, Columbus, OH USA
| | - Henry Xiang
- grid.261331.40000 0001 2285 7943Department of Pediatrics, College of Medicine, The Ohio State University, Columbus, OH USA ,grid.240344.50000 0004 0392 3476Center for Pediatric Trauma Research and Center for Injury Research and Policy, Abigail Wexner Research Institute at Nationwide Children’s Hospital, Columbus, OH USA ,grid.261331.40000 0001 2285 7943Division of Epidemiology, College of Public Health, The Ohio State University, Columbus, OH USA
| | - Jennifer N. Cooper
- grid.240344.50000 0004 0392 3476Center for Surgical Outcomes Research and Center for Innovation in Pediatric Practice, Abigail Wexner Research Institute at Nationwide Children’s Hospital, Columbus, OH USA ,grid.261331.40000 0001 2285 7943Department of Pediatrics, College of Medicine, The Ohio State University, Columbus, OH USA ,grid.261331.40000 0001 2285 7943Division of Epidemiology, College of Public Health, The Ohio State University, Columbus, OH USA
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Mattei TA. The classic "Carrot-and-stick approach": Addressing underutilization of ICD-10 increased data granularity. NORTH AMERICAN SPINE SOCIETY JOURNAL 2020; 4:100032. [PMID: 35141601 PMCID: PMC8820015 DOI: 10.1016/j.xnsj.2020.100032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Accepted: 09/29/2020] [Indexed: 06/14/2023]
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