Health Condition 1: A00-B99- Certain infectious and parasitic diseases Health Condition 2: I00-I99- Diseases of the circulatory system Health Condition 3: K00-K95- Diseases of the digestive system Health Condition 4: H60-H95- Diseases of the ear and mastoid process Health Condition 5: H00-H59- Diseases of the eye and adnexa Health Condition 6: N00-N99- Diseases of the genitourinary system Health Condition 7: M00-M99- Diseases of the musculoskeletal system and connective tissue Health Condition 8
Conditions
Interventions
Intervention1: Nil: Nil
Control Intervention1: Patients being managed without machine learning algorithm (FloTrac): Patients connected to FloTrac sensor receive treatment once hypotension (MAP less th
Sponsors
Lady Hardinge Medical College and Associated Hospitals
Eligibility
Inclusion criteria
Inclusion criteria: 1.More than 18years old 2.Critically ill patients admitted to intensive care with an arterial catheter in the radial artery for advanced hemodynamic monitoring
Exclusion criteria
Exclusion criteria: 1.Patients having sustained hypotension despite receiving maximum drug support 2.Patients admitted to intensive care with hypertensive emergencies
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Comparison between median (IQR) number of hypotensive events in critically ill patients being managed with or without machine learning algorithmTimepoint: 48 hours | — |
Secondary
| Measure | Time frame |
|---|---|
| Comparison between groups of average duration (min) of each hypotensive eventTimepoint: 48 hours;Comparison between groups of percentage agreement between decision taken by the clinician to that suggested by the machine learning algorithmTimepoint: 48 hours;Comparison between groups of proportion of patients with morbidity within 3 days of first event of hypotension (number of patients with acute kidney injury, increased troponin levels)Timepoint: 72 hours;Mean/ median time to MAP less than 65 mmHg after HPI â?¥ 85Timepoint: 48 hours;Sensitivity, specificity, positive predictive value, negative predictive value of HPI & HPI threshold predicting hypotension using AUROCTimepoint: 48 hours | — |
Countries
India
Contacts
Public ContactDr Maitree Pandey
Lady Hardinge Medical College
Outcome results
None listed