Evidence map›Paper›PMID 42032357›Full record

Articlenpj biomedical innovations2025

VITALS: an implantable sensor network for postoperative cardiac monitoring in heart failure patients.

Ali Kight, Moussa Haidar, Masafumi Shibata, Yoshikazu Ono, Gentaro Ikeda, Amit Sharir, Federica Semproni, Yellappa Palagani, Sawson Taheri, Amy Kyungwon Han and 5 more

Abstract read
In one paragraph

Article in npj biomedical innovations, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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

15 authors.

Ali KightDepartment of Bioengineering, Stanford University, Stanford, USA. akight@stanford.edu.
Moussa HaidarDepartment of Cardiothoracic Surgery, Pediatric Cardiac Surgery Division, Stanford School of Medicine, Palo Alto, USA.
Masafumi ShibataDepartment of Cardiothoracic Surgery, Pediatric Cardiac Surgery Division, Stanford School of Medicine, Palo Alto, USA.
Yoshikazu OnoDepartment of Cardiothoracic Surgery, Pediatric Cardiac Surgery Division, Stanford School of Medicine, Palo Alto, USA.
Gentaro IkedaClinical and Translational Research Program, Lucile Packard Children's Hospital, Stanford University, Stanford, USA.
Amit SharirDepartment of Cardiothoracic Surgery, Pediatric Cardiac Surgery Division, Stanford School of Medicine, Palo Alto, USA.
Federica SemproniBioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.
Yellappa PalaganiDepartment of Cardiothoracic Surgery, Pediatric Cardiac Surgery Division, Stanford School of Medicine, Palo Alto, USA.
Sawson TaheriDepartment of Electrical Engineering, Stanford University, Stanford, USA.
Amy Kyungwon HanDepartment of Mechanical Engineering, Seoul National University, Gwanak-gu, South Korea.
Michael MaDepartment of Cardiothoracic Surgery, Pediatric Cardiac Surgery Division, Stanford School of Medicine, Palo Alto, USA.
Kirk RiemerDepartment of Cardiothoracic Surgery, Pediatric Cardiac Surgery Division, Stanford School of Medicine, Palo Alto, USA.
Doff B McElhinneyClinical and Translational Research Program, Lucile Packard Children's Hospital, Stanford University, Stanford, USA.
Seraina A DualDepartment of Biomedical Engineering and Health Systems, KTH Royal Institute of Technology, Stockholm, Sweden.
Mark CutkoskyDepartment of Mechanical Engineering, Stanford University, Stanford, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heart Failure (HF) is a global epidemic, with high readmission rates and significant morbidity persisting due to gaps in post-acute care.Traditional follow-up often misses gradual postoperative cardiac deterioration occurring outside hospital settings. While advances in remote patient monitoring show promise, practical, continuous, and sensitive methods remain lacking. Building on previous work introducing a durable, soft strain sensor, this research presents VITALS, an implantable strain sensing network that enables continuous biventricular, multiaxial monitoring of cardiac function. The sensor's design demonstrates improved fatigue life in bechtop testing compared to other soft, large-deformation strain sensors, while effectively minimizing shear loading effects to enhance accuracy. Additionally, the network integrates a sensor on the aorta for synchronous systolic pressure monitoring. Acute animal studies demonstrate the potential of VITALS' to track epicardial strain, detect preload changes rapidly, and differentiate inotropic states. Validation against echocardiographic chamber volumes and GLS provides preliminary support of the sensor's clinical relevance.

Identifiers

PMID42032357
PMCPMC13055062

What OpenQuestion holds

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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.