Evidence Hub

The Effect of Using Hypotension Prediction Index to Reduce Intraoperative Hypotension in Elective Cesarean Sections: A Randomized Controlled Trial

Halim NA, Masdar A, Sayed Masri SNN, Khalid I, Budiman M, Cheah SK

Medicina (Kaunas, Lithuania), 2026

Abstract

Background and Objectives: The Hypotension Prediction Index (HPI) is a predictive algorithm that enables proactive management of intraoperative hypotension (IOH) and has been integrated into finger cuff devices for practical use in obstetric settings. This study aims to evaluate the effectiveness of HPI in reducing IOH during elective cesarean sections (CS). Materials and Methods: This randomized controlled trial enrolled parturients undergoing elective CS under spinal anesthesia. The parturients were randomized to either the HPI or the control group using non-invasive blood pressure (NIBP) monitoring. The primary outcome was the time-weighted average mean arterial pressure below 65 mmHg (TWA-MAP Results: A total of 100 parturients were enrolled in the study, with 96 included in the analysis. Baseline demographic characteristics were similar between the groups. The TWA-MAP p p p > 0.05). Conclusions: HPI-guided management was associated with a reduction in hypotension burden and perioperative nausea and vomiting.

How strong is the evidence?

Evidence Hub reads this as a randomized trial, done in people. Its evidence level is 2 of 5 (High · randomized trial). Randomized trials of a reasonable size are the strongest single-study design.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free