Background & Aims: There are currently no validated claims-based indicators for identifying a worsening of disease in patients with inflammatory bowel disease (IBD). Therefore, we aimed to develop and validate indicators that identify flare-ups of IBD using data from Danish nationwide registries.
Methods: Using Danish nationwide administrative data, we identified all patients with Crohn's disease (CD) or ulcerative colitis (UC) who had at least one measurement of faecal calprotectin between 1 January 2015 and 31 June 2017. We tested several different claims-based indicators of disease flare-ups against levels of faecal (F-)calprotectin (no flare-up: <250 mg/kg; mild flare-up: 250-1000 mg/kg; severe flare-up: ⩾1000 mg/kg). A generalised estimating equation was used to evaluate whether the proposed indicators could predict disease activity.
Results: A total of 890 children and 4719 adults with CD, and 592 children and 5467 adults with UC were included in the study. During the observation period, 48-61% and 48-55% of the CD and UC patients, respectively, had no flare-up, 26-29% (CD) and 24-26% (UC) experienced a mild flare-up, and 12-23% (CD) and 21-27% (UC) experienced a severe flare-up. Combinations of indicators that could predict a flare-up in CD and UC adults included hospitalisation, surgery, initiation or switch of biological therapy, treatment with systemic steroids, locally acting steroids or topical 5-aminosalicylates, colonoscopy/sigmoidoscopy, and magnetic resonance imaging/computed tomography. In children, only the number of gastroenterology visits was significant as an indicator among UC patients, and none were seen in children with CD. Overall, the indicator combinations resulted in a predictive ability of 0.62-0.67.
Conclusion: Administrative claims data can be useful for identifying patients exhibiting (F-calprotectin defined) flare-ups of their IBD. Clinically relevant events captured in the Danish national patient registry are associated with increased levels of calprotectin and hence increased disease activity, and can be used as valid outcomes in future studies.
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http://dx.doi.org/10.1177/17562848211004841 | DOI Listing |
Objectives: Comorbidity prediction models have been demonstrated to offer more comprehensive and accurate predictions of death risk compared to single indices. However, their application in China has been limited, particularly among maintenance hemodialysis (MHD) patients. Therefore, the objective of this study was to evaluate the utility of comorbidity index models in predicting mortality risk among Chinese MHD patients.
View Article and Find Full Text PDFClin Kidney J
December 2024
Department of Health Data Science, Graduate School of Data Science, Yokohama City University, Yokohama, Japan.
Background: Peripheral arterial disease (PAD) occurs frequently in patients undergoing dialysis, but early intervention for PAD may not be fully implemented. We evaluated the effects of financially incentivising dialysis facilities that provided early detection and management of PAD on outcomes of PAD care.
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Muscle Nerve
February 2025
Beth Israel Deaconess/Harvard Medical School, Boston, Massachusetts, USA.
Introduction/aims: Claims-based analyses have demonstrated high medical costs associated with myasthenia gravis (MG). We examined the economic burden of MG from the perspective of affected people and their families.
Methods: The Muscular Dystrophy Association developed and conducted an online survey of people with MG and their caregivers between October 26 and December 6, 2021.
J Med Econ
December 2025
Merck & Co., Inc, Rahway, NJ, USA.
Aim: This study aimed to describe treatment patterns and quantify the economic impact of recurrence in early-stage human epidermal growth factor receptor 2 (HER2)-negative breast cancer (BC).
Materials & Methods: Medicare beneficiaries with stages I-III HER2-negative BC and lumpectomy or partial/total mastectomy were identified from SEER-Medicare data (2010-2019). Perioperative therapies were reported in the neoadjuvant and adjuvant setting.
J Am Geriatr Soc
November 2024
Division of Epidemiology & Community Health, School of Public Health, Minneapolis, Minnesota, USA.
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