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A comparative study of serum uric levels in patients having essential hypertension with healthy individuals at a tertiary care centre in Kumaon region of Uttarakhand.

A comparative study of serum uric levels in patients having essential hypertension with healthy individuals at a tertiary care centre in Kumaon region of Uttarakhand. - S.Uric acid levels and hypertension

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2026/05/110728
Enrollment
270
Registered
2026-05-20
Start date
Unknown
Completion date
Unknown
Last updated
2026-06-01

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Health Condition 1: I10- Essential (primary) hypertension

Interventions

Intervention1: Nil: Nil

Sponsors

College
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: Both hypertensive and normotensive patients are taken. They belong to different socio economic status.

Exclusion criteria

Exclusion criteria: ARenal Impairment: Patients with known renal impairment or chronic kidney disease, as this can significantly impact serum uric acid levels independent of hypertension. Pregnancy: Pregnant individuals, as pregnancy can influence serum uric acid levels and confound study results. Severe Comorbidities: Patients with severe comorbidities or conditions that may limit their ability to participate in the study or confound study results. Medication Effects: Patients receiving medications known to influence serum uric acid levels, such as diuretics (thiazides, loop diuretics), urate-lowering agents (allopurinol, probenecid), or other medications affecting purine metabolism, unless these medications have been stabilized for at least one month prior to enrolment

Design outcomes

Primary

MeasureTime frame
The relationship between SUA levels, age, and hypertension severity will be assessed using correlation analysis and regression modeling. Subgroup analyses may be conducted to explore the influence of potential confounding variablesTimepoint: The relationship between SUA levels, age, and hypertension severity will be assessed using correlation analysis and regression modeling. Subgroup analyses may be conducted to explore the influence of potential confounding variables

Secondary

MeasureTime frame
NilTimepoint:

Countries

India

Contacts

Public ContactRitu khani

GMC,Haldwani

khaniritu999999999@gmail.com8218023182

Outcome results

None listed

Source: CTRI (via WHO ICTRP) · Data processed: Jun 11, 2026