scholarly journals Identification of Substance-Exposed Newborns and Neonatal Abstinence Syndrome Using ICD-10-CM — 15 Hospitals, Massachusetts, 2017

2020 ◽  
Vol 69 (29) ◽  
pp. 951-955 ◽  
Author(s):  
Sonal Goyal ◽  
Katherine C. Saunders ◽  
Chiara S. Moore ◽  
Katherine T. Fillo ◽  
Jean Y. Ko ◽  
...  
2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Whitney Coffey ◽  
Evan Mobley ◽  
Andrew Hunter

ObjectiveIn this analysis we examine Missouri NAS discharge rates with special focus on the ICD-9-CM/ICD-10-CM transition and changes in code descriptions.IntroductionNeonatal Abstinence Syndrome (NAS) rates have tripled for Missouri residents in the past three years. NAS is a condition infants suffer soon after birth due to withdrawal after becoming opioid-dependent in the womb. NAS has significant immediate health concerns and can have long term effects on child development and quality of life.2 The Missouri Department of Health and Senior Services (MODHSS) maintains the Patient Abstract System (PAS), a database of inpatient, emergency room, and outpatient records collected from non-federal hospitals and ambulatory surgical centers throughout the state. PAS records contain extensive information about the visit, patient, and diagnosis. When examining 2015 annual PAS data for NAS-associated discharges, Missouri analysts noticed a greater than 50% increase in discharges, even larger than anticipated in light of the opioid epidemic. Provisional 2016 data produced similar high rates, dispelling the notion that the trend was a transitional problem. In fact, provisional 2016 rates are 115% higher than NAS rates in 2015. In contrast, percentage change of opioid misuse emergency department visits (as defined by MODHSS) for Missouri women age 18-44 was +13% in 2015 and -12% in 2016.MethodsNAS discharges for Missouri residents under the age of 1 were identified using all available diagnosis fields of the PAS record, using finalized data from 2014 and 2015 and provisional data from 2016. Results were stratified by quarter and ICD-CM code. Rates for each of these stratifications were calculated using Missouri resident live births as the denominator. Adhering to methodology used by MODHSS to calculate significance on its public data query tool, 95% confidence intervals were used to determine statistical significance. Depending on numerator size, either Poisson or the inverse gamma methodology was utilized to analyze changes in discharge rates over time. Two ICD-9-CM codes and four ICD-10-CM codes (identified as equivalents using an in-house crosswalk system) were used as NAS indicators (Figure 1).ResultsAn exploration of the data by quarter and diagnosis code (ICD-9-CM or ICD-10-CM), as well as supporting information from the Centers for Medicare & Medicaid Services, show that definitional changes to ICD-10-CM codes P044 and P0449, (previously 76072 in ICD-9-CM coding), was responsible for the majority of the NAS rate increase in Missouri. Annual rates for 76072 and its equivalents jumped significantly from a rate of 3.82 (per 1,000) to 8.22 Q3 to Q4-2015 (95% CI: 3.39-4.29, 7.57-8.87), while ICD-9-CM code 7795 and its equivalents had a more modest rise, from 5.57 to 6.17, which was not statistically significant (95% CI: 5.04-6.13, 5.62-6.76). Once this anomaly was identified, examination of the code’s description was conducted. This exposed a change in definition, with the words ‘suspected to be’ added to the ICD-10-CM long description, which were not present in the ICD-9-CM equivalent. Further complicating matters is a 2017 revision (effective Q3-2016) deleting the ‘suspected’ language from the description. This reversion to language more closely aligning with prior descriptions may be the reason for the slight decrease in discharges coded to P044 in the provisional Q4-2016 PAS data. Though this dataset is not finalized, there was a decrease in discharges that included code P044 from 27.50 in Q3-2016 to 23.15 in Q4-2016 (Figure 2, Figure 3).ConclusionsWhile NAS discharge rates are undoubtedly increasing in Missouri in tune with the opioid epidemic, the extreme escalation from 2014 to 2016 is, at least partially, the result of a definitional change that came with the transition from ICD-9-CM to ICD-10-CM and not a true indication of profound intensification. Indeed, the definitional change of a single ICD-CM code was responsible, in part, for a greater than three-fold increase in NAS discharge rates in Missouri. This analysis will allow public health program planners to better understand NAS trends and adjust intervention strategies accordingly. Further analysis exploring quarterly trends associated with the 2017 ICD-10-CM revision are ongoing.References1. Centers for Medicare & Medicaid Services. ICD-9-CM and ICD-10. https://www.cms.gov/Medicare/Coding/ICD9ProviderDiagnosticCodes/index.html.2. Stanford Children’s Health. Neonatal Abstinence Syndrome. http://www.stanfordchildrens.org/en/topic/default?id=neonatal-abstinence-syndrome-90-P02387. 


2021 ◽  
pp. 000348942110482
Author(s):  
Elizabeth J. Abraham ◽  
David O’Neil Danis ◽  
Jessica R. Levi

Objective: Laryngomalacia (LM) is the most common congenital anomaly of the larynx. The cause of LM is still largely unknown, but a neurological mechanism has gained the most acceptance. There have not been any studies examining the prevalence of LM in infants with Neonatal Abstinence Syndrome (NAS). The aim of our study is to determine if infants with NAS are more likely to be diagnosed with LM. Methods: This study was a population-based inpatient registry analysis. We examined nationwide neonatal discharges in 2016 using the Kids’ Inpatient Database (KID). Only patients listed as neonates were included. The International Classification of Diseases, 10th revision, Clinical Modification (ICD-10-CM) codes for neonatal withdrawal symptoms from maternal use of drugs of addiction (P96.1) and diagnoses denoting LM were used. To quantify associations between the LM and NAS groups, prevalence rates and odds ratios (ORs) were used. Results: There were 3 970 065 weighted neonatal discharges in the 2016 KID. Among patients included in our dataset, 0.809% (32 128) had NAS and 0.075% (2974) had LM. There was an increased odds ratio for neonates with NAS and LM (OR of 2.85, 95% CI = 2.24-3.63) compared to infants without NAS. Multiple logistic regression accounting for possible confounders produced an adjusted OR of 1.68 (95% CI = 1.29-2.19). Conclusion: Our study found an association between NAS and LM. This suggests that prenatal exposure to opioids or possibly the sequelae of withdrawal symptoms may be risk factors for the development of LM.


2021 ◽  
Vol 11 (8) ◽  
pp. 902-908
Author(s):  
Jean Y. Ko ◽  
Ashley H. Hirai ◽  
Pamela L. Owens ◽  
Carol Stocks ◽  
Stephen W. Patrick

PEDIATRICS ◽  
2016 ◽  
Vol 137 (Supplement 3) ◽  
pp. 197A-197A
Author(s):  
Katherine M. Somers ◽  
Ashley R. Taylor ◽  
Andrew Jung ◽  
Alfred Wicks ◽  
Andre A. Muelenaer

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