Assessing the prevalence of juvenile systemic sclerosis in childhood using administrative claims data from the United States

2018 ◽  
Vol 3 (2) ◽  
pp. 189-190 ◽  
Author(s):  
Timothy Beukelman ◽  
Fenglong Xie ◽  
Ivan Foeldvari

Juvenile systemic sclerosis is a very rare orphan disease. To date, only one publication has estimated the prevalence of juvenile systemic sclerosis using a survey of specialized physicians. We conducted a study of administrative claims data in the United States using the International Classification of Diseases, Ninth Revision diagnosis codes and found a prevalence of approximately 3 per 1,000,000 children. This estimate will inform the planning of prospective studies.

2018 ◽  
Vol 4 (1) ◽  
pp. 77-78
Author(s):  
Timothy Beukelman ◽  
Fenglong Xie ◽  
Ivan Foeldvari

Juvenile localised scleroderma is believed an orphan autoimmune disease, which occurs 10 times more often than systemic sclerosis in childhood and is believed to have a prevalence of 1 per 100,000 children. To gain data regarding the prevalence of juvenile localised scleroderma, we assessed the administrative claims data in the United States using the International Classification of Diseases, Ninth Revision diagnosis codes. We found an estimated prevalence in each year ranging from 3.2 to 3.6 per 10,000 children. This estimate is significantly higher as found in previous studies.


2021 ◽  
pp. 1-11
Author(s):  
Chris Miller ◽  
Stephen Apple ◽  
Jeremy S. Paige ◽  
Tara Grabowsky ◽  
Oodaye Shukla ◽  
...  

<b><i>Background:</i></b> Various methodologies have been reported to assess the real-world epidemiology of amyotrophic lateral sclerosis (ALS) in the United States. The aim of this study was to estimate the prevalence, incidence, and geographical distribution of ALS using administrative claims data and to model future trends in ALS epidemiology. <b><i>Methods:</i></b> We performed a retrospective analysis of deidentified administrative claims data for &#x3e;100 million patients, using 2 separate databases (IBM MarketScan Research Databases and Symphony Health Integrated DataVerse [IDV]), to identify patients with ALS. We evaluated disease prevalence, annual incidence, age- and population-controlled geographical distribution, and expected future trends. <b><i>Results:</i></b> From 2013 to 2017, we identified 7,316 and 35,208 ALS patients from the MarketScan databases and IDV, respectively. Average annual incidence estimates were 1.48 and 1.37 per 100,000 and point prevalence estimates were 6.85 and 5.16 per 100,000 and in the United States for the MarketScan databases and IDV, respectively. Predictive modeling estimates are reported out to the year 2060 and demonstrate an increasing trend in both incident and prevalent cases. <b><i>Conclusions:</i></b> This study provides incidence and prevalence estimates as well as geographical distribution for what the authors believe to be the largest ALS population studied to date. By using 2 separate administrative claims data sets, confidence in our estimates is increased. Future projections based on either database demonstrate an increase in ALS cases, which has also been seen in other large-scale ALS studies. These results can be used to help improve the allocation of healthcare resources in the future.


2017 ◽  
Vol 45 (2) ◽  
pp. 235-241 ◽  
Author(s):  
Aryeh Fischer ◽  
Amanda M. Kong ◽  
Jeffrey J. Swigris ◽  
Ashley L. Cole ◽  
Karina Raimundo

Objective.Patients with systemic sclerosis (SSc) often develop interstitial lung disease (ILD) and/or pulmonary arterial hypertension (PAH). The effect of ILD and PAH on healthcare costs among patients with SSc is not well described. The objective of this analysis was to describe healthcare costs in patients with newly diagnosed SSc and SSc patients newly diagnosed with ILD and/or PAH in the United States.Methods.This retrospective cohort analysis was conducted in the Truven Health MarketScan Commercial and Medicare Supplemental healthcare claims databases from 2003 to 2014. Based on International Classification of Diseases-9-Clinical Modification diagnosis codes on medical claims, patients were classified into 3 groups: incident SSc, SSc with incident ILD (SSc-ILD), and SSc with incident PAH (SSc-PAH). Patients were required to have continuous enrollment for 5 years to measure all-cause healthcare costs. Costs (adjusted to US$) were reported overall and by service type and year following diagnosis. Because of the overlap between groups, statistical comparisons were not conducted.Results.There were 1957 patients with incident SSc, 219 with incident SSc-ILD, and 108 patients with incident SSc-PAH. Average (mean ± SD) all-cause healthcare costs over followup were higher for patients with incident SSc-ILD ($191,107 ± $322,193) or patients with incident SSc-PAH ($254,425 ± $240,497), compared to patients with incident SSc ($101,839 ± $167,155). Average annual costs over the 5-year period ranged from $18,513 to $23,268 for patients with incident SSc, from $31,285 to $55,446 for patients with incident SSc-ILD, and from $44,454 to $63,320 for patients with incident SSc-PAH. Costs tended to be the highest in the fifth year of followup.Conclusion.Among patients with SSc, ILD and PAH can result in substantial increases in healthcare costs.


2020 ◽  
Vol 1;24 (1;1) ◽  
pp. 31-40

BACKGROUND: Long-term opioid therapy was prescribed with increasing frequency over the past decade. However, factors surrounding long-term use of opioids in older adults remains poorly understood, probably because older people are not at the center stage of the national opioid crisis. OBJECTIVES: To estimate the annual utilization and trends in long-term opioid use among older adults in the United States. STUDY DESIGN: Retrospective cohort study. SETTING: Data from Medicare-enrolled older adults. METHODS: This study utilized a nationally representative sample of Medicare administrative claims data from the years 2012 to 2016 containing records of health care services for more than 2.3 million Medicare beneficiaries each year. Medicare beneficiaries who were 65 years of age or older and who were enrolled in Medicare Parts A, B, and D, but not Part C, for at least 10 months in a year were included in the study. We measured annual utilization and trends in new long-term opioid use episodes over 4 years (2013–2016). We examined claims records for the demographic characteristics of the eligible individuals and for the presence of chronic non-cancer pain (CNCP), cancer, and other comorbidities. RESULTS: From 2013 to 2016, administrative claims of approximately 2.3 million elderly Medicare beneficiaries were analyzed in each year with a majority of them being women (~56%) and white (~82%) with a mean age of approximately 75 years. The proportion of all eligible beneficiaries with at least one new opioid prescription increased from 6.64% in 2013, peaked at 10.32% in 2015, and then decreased to 8.14% in 2016. The proportion of individuals with long-term opioid use among those with a new opioid prescription was 12.40% in 2013 and 10.20% in 2016. Among new long-term opioid users, the proportion of beneficiaries with a cancer diagnosis during the study years increased from 13.30% in 2013 to 15.67% in 2016, and the proportion with CNCP decreased from 30.25% in 2013 to 27.36% in 2016. Across all years, long-term opioid use was consistently high in the Southern states followed by the Midwest region. LIMITATIONS: This study used Medicare fee-for-service administrative claims data to capture prescription fill patterns, which do not allow for the capture of individuals enrolled in Medicare Advantage plans, cash prescriptions, or for the evaluation of appropriateness of prescribing, or the actual use of medication. This study only examined long-term use episodes among patients who were defined as opioid-naive. Finally, estimates captured for 2016 could only utilize data from 9 months of the year to capture 90-day long-term-use episodes. CONCLUSIONS: Using a national sample of elderly Medicare beneficiaries, we observed that from 2013 to 2016 the use of new prescription opioids increased from 2013 to 2014 and peaked in 2015. The use of new long-term prescription opioids peaked in 2014 and started to decrease from 2015 and 2016. Future research needs to evaluate the impact of the changes in new and long-term prescription opioid use on population health outcomes. KEY WORDS: Long-term, opioids, older adults, trends, Medicare, chronic non-cancer pain, cancer, cohort study


2010 ◽  
Vol 31 (05) ◽  
pp. 544-547 ◽  
Author(s):  
Margaret A. Olsen ◽  
Victoria J. Fraser

We compared surveillance of surgical site infection (SSI) after major breast surgery by using a combination of International Classification of Diseases, Ninth Revision, Clinical Modification diagnosis codes and microbiology-based surveillance. The sensitivity of the coding algorithm for identification of SSI was 87.5%, and the sensitivity of wound culture for identification of SSI was 78.1%. Our results suggest that SSI surveillance can be reliably performed using claims data.


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