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Health data analysis for predicting events like risk of readmission in patient cohorts

Predictive model based on Health data analysis for risk of readmission in disease specific cohorts

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2016/10/007411
Enrollment
2000
Registered
2016-10-26
Start date
Unknown
Completion date
Unknown
Last updated
2021-11-24

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

Conditions

Health Condition 1: null- Acute Myocardial Infarction, Stroke

Interventions

None listed

Sponsors

Max Healthcare
Lead Sponsor
Prof Svetha Venkatesh
Collaborator

Eligibility

Inclusion criteria

Inclusion criteria: The patient criteria for inclusion of two cohorts in the retrospective study are:- (a) patients with index admission as Acute Myocardial Infarction, and (b) patients with index admission of Stroke. (c) All age group and gender would be included

Exclusion criteria

Exclusion criteria: No exclusions within the two cohorts

Design outcomes

Primary

MeasureTime frame
The primary outcome of the project would be a risk score for predicting the readmissions in discharge cases of (a) Acute Myocardial Infarction (b) Stroke. Timepoint: A risk score for predicting the readmissions in discharge cases of (a) Acute Myocardial Infarction (b) Stroke at 30 days—

Secondary

MeasureTime frame
The secondary outcome of the project would be a risk score for predicting the readmissions in discharge cases of (a) Acute Myocardial Infarction (b) Stroke. Additional outcome measure could be risk of disability following Stroke.Timepoint: A risk score for predicting the readmissions in discharge cases of (a) Acute Myocardial Infarction (b) Stroke at 90 days & 1 year—

Countries

India

Contacts

Public ContactDr Dinesh Jain

Max Healthcare

dinesh.jain@maxhealthcare.com

Outcome results

None listed

Source: CTRI (via WHO ICTRP) · Data processed: Feb 4, 2026