First observational study to assess FH patients made in Bulgaria using NLP algorithm

Advances in Therapy, an international medical journal, has published the Research Article “Familial Hypercholesterolemia identification algorithm in patients with acute cardiovascular event in a large hospital electronic database in Bulgaria – a call for implementation” 

Sqilline is extremely honored to be co-writer among such extreme professionals and experts in the field.

Our advanced solution Danny Platform® played a key role in the process and analyses of this fundamental article.

Click to play the abstract video of the article:

KEY SUMMARY POINTS:

OBJECTIVES:

  • Using all available medical records from EHR systems to extract treated patients admitted for ASCVD acute events to screen for FH
  • Reinforce early FH identification and improving patient pathways and outcomes

CHALLENGES:

  • Limited data on the proportion and management of FH among adults
  • Under diagnosed, an acute event is usually the 1st clinical manifestation of FH
  • Most patients are unaware they have it until a significant cardio event occures

SOLUTION:

  • Danny Platform’s NLP algorithm was developed to identify patients with arcus Cornealis, tendon xanthoma, or stated FH
  • Danny Platform’s algorithms search the EHR of patients admitted to hospital for the treatment of an acute CV event to identify those with undiagnosed FH
  • The platform can automatically calculate the Dutch Lipid Clinic Network Score(DLCNS)

RESULTS:

  • 11 090 patients recorded an acute cardiovascular event
  • 44% of patients to have possible FH and 56% to have probable/definite FH
  • 37% of patients discharged with high-intensity satin therapy
  • 96% of patients had poorly controlled cholesterol during the first year after discharge

BENEFITS

  • Systematic screening and early identification of FH during hospitalization will improve patients’ treatment and outcomes
  • Empowering physicians to reinforcing early FH identification to improve futurepatient outcomes
  • Reducing burden on the healthcare system via automated screening tool during hospitalization may allow for rapid and effective lipid management, prevention of recurrent events

 

ARTICLE AUTHORS:

  • Prof. Ivo Petrov (Head of Cardiology, Angiology and Electrophysiology Department: Acibadem City Clinic Cardiovascular Center)
  • Assos. Prof. Arman Postadzhiyan (Department of General Medicine, Emergency University Hospital “St. Anna”, Medical University of Sofia)
  • Dr. Dobrin Vasilev (Head Cardiology Clinic at Alexandrovska University Hospital)
  • Dr. Ruslan Kasabov (Department of Interventional Cardiology: Hospital “Pulmed” Plovdiv
  • Prof. Dr. Fedya Nikolov and Assos. Prof. Mariya Tokmakova (Department of Cardiology, Medical University of Plovdiv)
  • Reneta Petkova (Department of General Medicine, Amgen Bulgaria)
  • Veselin Istatkov, Boyang Zhao, and Dimiter Mutafchiev (Sqilline)

Click here to read the full publication in Advances in Therapy:

Share this article:

More News & Highlights

News

What if we could change the common approach to clinical trials?

Desislava Mihaylova, CEO and Founder, Sqilline At Sqilline, we listen to the people we work with and often ask ourselves what if… This was the...

Read more...

Highlights

Breaking Barriers in Healthcare Data Interoperability: The Danny Platform Solutions

Mihail Jekov, CTO and Partner, Sqilline Electronic Health Records (EHRs) contain a large quantity of machine-readable data. However, institutions choose different EHR vendors, and the...

Read more...

News

Sqilline and Fundeni Clinical Institute unite through a strategic partnership for access to high-quality Real-World Data

Sqilline is proud to announce its partnership with The Fundeni Clinical Institute in Romania. The focus of this partnership is the deployment of the analytic...

Read more...