Evidence map›Paper›PMID 41377962›Full record

ArticleResearch square2025

Early Detection of Respiratory Depression Episodes with the Linshom Continuous Predictive Respiratory Sensor.

Alberto Uribe, Ronen Feldman, Marco Echeverria-Villalobos, Talia Feldman, Ashish K Khanna, Mahmoud Abdel-Rasoul, Richard D Urman

Abstract readPreprint
In one paragraph

Article in Research square, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Alberto UribeThe Ohio State University College of Medicine, Wexner Medical Center.
Ronen FeldmanLinshom Medical Inc.
Marco Echeverria-VillalobosThe Ohio State University College of Medicine, Wexner Medical Center.
Talia FeldmanLinshom Medical Inc.
Ashish K KhannaOutcomes Research Consortium.
Mahmoud Abdel-RasoulThe Ohio State University.
Richard D UrmanLinshom Medical Inc.

Funding

Development and Multi-Site Clinical Evaluation of the Linshom CPRM System - A Wearable, AI Enabled, Wireless Alarm Activated Detection System for Early Intervention of Emerging Respiratory DeclineR44HL164222 · NHLBI · LINSHOM MEDICAL INC · PI Ronen Feldman · 2022 to 2026
$3.8M
NHLBI NIH HHS R44 HL164222
6 · The paper itself

Abstract

Purpose: The study aims to evaluate the effectiveness of the Linshom Continuous Predictive Respiratory Sensor (CPRS) for early detection of Respiratory Depression Events (RDE) in post-operative patients, with a focus on improving timely clinical intervention. Methods: In this prospective study, 472 adults undergoing non-cardiac surgery were monitored in the post-anesthesia care unit (PACU). Standard care included nurse monitoring, at a 1:1 nurse-to-patient ratio, supplemental oxygen, and continuous SpO Results: The study monitored 472 patients; 132 (27.9%) experienced at least one respiratory depression event (RDE). The Linshom device detected 110 of these 132 events (83.3%), significantly outperforming SOC, which detected 59 events (44.7%). Linshom uniquely identified 73 events (55.3%) not detected by SOC, whereas 22 events (16.7%) were detected only by SOC, primarily through nurse interventions involving adjustments in oxygen administration. Linshom detected RDEs a mean of 11.06 (Standard Error ± 1.91) minutes earlier than SOC (p < 0.0001). Conclusion: The Linshom CPRS demonstrated superior sensitivity and earlier detection of postoperative respiratory depression compared to standard monitoring. Continuous respiratory monitoring with this technology may enhance patient safety and outcomes in the postoperative setting.

Indexed as

Continuous Respiratory MonitoringEarly Detection TechnologyLinshom Continuous Predictive Respiratory SensorOpioid-Induced Respiratory DepressionPatient Safety in Post-Anesthesia CarePostoperative Respiratory Depression

Identifiers

PMID41377962
PMCPMC12687800

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.