A retrospective analysis
This retrospective study will be performed using all-Russian nationwide database of anonymized medical health claims and administrative data. The database holds information on diagnoses, patient data, medications, results of examinations, laboratory values, and genomic information, visits, follow up and outcomes. Participating health care organizations include a mix of hospital, primary care, and specialty treatment providers spanning a wide range of geographies, age groups, and income levels. This study will analyze of outcomes according to comorbidity and antihypertensive drug prescriptions. The study will include patients who were first diagnosed with hypertension, attended the hospital as an outpatient due to hypertension, and received their antihypertensive prescription as an outpatient. To be eligible for inclusion, patients must have had comorbidities and outpatient visits or hospitalizations (for any indication) during the 3-years. The study will focused on comorbidities for choice of antihypertensive drug therapy: diabetes mellitus, dyslipidemia, gout/hyperuricemia, heart diseases, cerebrovascular diseases, and renal diseases. We going to analyze the EMR of patients who had hypertension and comorbidities by CDSS (MedicBK) utilizing a core laboratory.
Study Type
OBSERVATIONAL
Enrollment
100,000
Personalized evidence-based antihypertensive therapy in patients with comorbidities
Evgeny Pokushalov
Novosibirsk, Russia
RECRUITINGThe percentage of personalized evidence-based medicine recommendations
The percentage of personalized EBM recommendations acted on by clinicians for antihypertensive therapy in patients with comorbidities. All discrepancies between routine and CDSS-recommended treatment resulting in frame of guideline-based therapy and personalized EBM therapy will be adjudicated by core laboratory.
Time frame: 3-year
3-year FU outcomes
Outcomes for stroke, coronary heart disease, heart failure, cardiovascular death, all cause death and the composite endpoints in relation to whether they were personalized EBM treatment or general practice.
Time frame: 3-year
Quantify the performance of the CDSS (MedicBK) algorithm
Quantify the performance of the CDSS (MedicBK) algorithm for presents treatment suggestions in frame of guideline-based therapy and personalized EBM therapy: the sensitivity, specificity, NPV, and PPV
Time frame: 3-year
Predictors
Predictors of guideline-based and personalized EBM adherence
Time frame: 3-year
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