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Developing predictive models using machine learning techniques to assess the risk factors influencing post operative Peak expiratory flow rate following upper abdominal surgery.

Developing machine learning predictive models for personalized PEFR risk assessment in upper abdominal surgery patients: An observational study - NIL

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2024/06/068341
Enrollment
62
Registered
2024-06-05
Start date
Unknown
Completion date
Unknown
Last updated
2024-06-24

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

Conditions

Health Condition 1: O- Medical and Surgical

Interventions

Intervention1: NIL: NIL

Sponsors

Dr Lairenjam Deepa Devi
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: 1. Patients scheduled for elective upper abdominal surgeries e.g. cholecystectomy, gastrectomy, hernia repair either open or laparoscopic. 2. Adults aged 18years and above.

Exclusion criteria

Exclusion criteria: 1. Emergency surgeries. 2. Patients unable to provide informed consent. 3. Patients who are unable to comprehend and perform PEFR

Design outcomes

Primary

MeasureTime frame
To assess various preoperative, intraoperative and postoperative factors that can cause reduction in postoperative PEFR.Timepoint: Baseline 6th hour postoperative 24th hour postoperative 48th hour postoperative—

Secondary

MeasureTime frame
To develop predictive models using machine learning algorithms for assessment of risk factors of patients undergoing upper abdominal surgeries based on preoperative characteristics, surgical factors. and Anesthesia protocols to identify individuals at high risk reduction of PEFR. To validate the predictive models and assess their accuracy in identifying patients at risk of reduced PEFR postoperative.Timepoint: 6th hour 24th hour 48th hour—

Countries

India

Contacts

Public ContactDr Sowmya Jois

Rajarajeswari Medical College and Hospital

Drsowmyasharma@gmail.com09980891082

Outcome results

None listed

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