The Burden of Intraoperative Hypotension in Patients Undergoing High-Risk Noncardiac Surgery and the Role of a Machine Learning-Derived Algorithm to Optimize Its Management: What Are We Missing Ignoring Supportive Innovations?

Author(s)

Monge-García MI1, Solares GJ2, Deckert J3, Gonzalez P4, Cuervo J5, Burniol-Garcia A6
1Hospital Universitario SAS Jerez, Jerez de la Frontera, Spain, 2Hospital Universitario Marqués de Valdecilla, Santander, Spain, 3Edwards Lifesciences Europe, Nyon, Switzerland, 4Edwards Lifesciences, Madrid, Spain, 5Axentiva Solutions, Barcelona, B, Spain, 6Axentiva Solutions, Barcelona, Spain

OBJECTIVES:

Intraoperative hypotension (IOH) in noncardiac surgery entails a humanistic and economic burden associated with a higher risk of mortality and severe adverse events (AEs). Machine learning-derived algorithms, such as the Hypotension Prediction Index (HPI), contribute to reducing IOH depth and duration, minimizing its impact on patients’ recovery. Objectives were twofold: to highlight the impact of AEs of IOH in Spain and estimate potential savings provided by HPI use.

METHODS:

All surgical procedures from 2016 to 2020 by APR-DRG code (ICD10) were obtained from the Minimum Basic Data Set (Ministry of Health, Spain). High-risk surgeries were defined by a yearly mortality rate ≥5%. The burden of IOH in terms of risk of acute kidney injury (AKI) and myocardial infarction after noncardiac surgery (MINS) was estimated from multivariate logistic models in previous large-cohort studies. Additionally, we calculated HPI savings in terms of reduction of median postoperative length of hospital stay (LoS) based on published Spanish evidence. Direct costs related to AEs were estimated using the average costs per AKI (APR-DRG 469), and MINS (APR-DRG 190). Cost of hospitalization was obtained from regional tariffs (€,2022).

RESULTS:

During that period, 120,144/year noncardiac high-risk surgeries (average LoS 7,5 days; 554M€/year) were conducted, accounting for 8% of interventions in Spain and 47% of mortality on average. Adjusted risk-ratios resulted in 72% of patients experiencing IOH events, causing yearly 5,362 AKIs, and 3,185 MINSs, implying a direct cost of 35M€. The use of HPI could minimize IOH-related post-surgery LoS, (median reduction: 2 days per surgery), avoiding 240.289 days yearly, with direct-related saving 148M€ per year.

CONCLUSIONS:

IOH implies a significant economical burden. The potential reduction of IOH by using HPI may result in significant savings considering only hospitalization days until discharge. However, further savings may also be generated if postoperative complications associated with IOH are avoided.

Conference/Value in Health Info

2022-11, ISPOR Europe 2022, Vienna, Austria

Value in Health, Volume 25, Issue 12S (December 2022)

Code

EE450

Topic

Economic Evaluation, Epidemiology & Public Health, Health Policy & Regulatory

Topic Subcategory

Public Health, Public Spending & National Health Expenditures

Disease

STA: Medical Devices

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