A Contact-Free Optical Device for the Detection of Pulmonary Congestion-A Pilot Study.

camera congestion contact-free heart failure increased lung fluid content remote monitoring

Journal

Biosensors
ISSN: 2079-6374
Titre abrégé: Biosensors (Basel)
Pays: Switzerland
ID NLM: 101609191

Informations de publication

Date de publication:
06 Oct 2022
Historique:
received: 25 07 2022
revised: 29 09 2022
accepted: 30 09 2022
entrez: 27 10 2022
pubmed: 28 10 2022
medline: 29 10 2022
Statut: epublish

Résumé

The cost of heart failure hospitalizations in the US alone is over USD 10 billion per year. Over 4 million Americans are hospitalized every year due to heart failure (HF), with a median length of stay of 4 days and an in-hospital mortality rate that exceeds 5%. Hospitalizations of patients with HF can be prevented by early detection of lung congestion. Our study assessed a new contact-free optical medical device used for the early detection of lung congestion. The Gili system is an FDA-cleared device used for measuring chest motion vibration data. Lung congestion in the study was assessed clinically and verified via two cardiologists. An algorithm was developed using machine learning techniques, and cross-validation of the findings was performed to estimate the accuracy of the algorithm. A total of 227 patients were recruited (101 cases vs. 126 controls). The sensitivity and specificity for the device in our study were 0.91 (95% CI: 0.86-0.93) and 0.91 (95% CI: 0.87-0.94), respectively. In all instances, the observed estimates of PPVs and NPVs were at least 0.82 and 0.90, respectively. The accuracy of the algorithm was not affected by different covariates (including respiratory or valvular conditions). This study demonstrates the efficacy of a contact-free optical device for detecting lung congestion. Further validation of the study results across a larger and precise scale is warranted.

Sections du résumé

BACKGROUND BACKGROUND
The cost of heart failure hospitalizations in the US alone is over USD 10 billion per year. Over 4 million Americans are hospitalized every year due to heart failure (HF), with a median length of stay of 4 days and an in-hospital mortality rate that exceeds 5%. Hospitalizations of patients with HF can be prevented by early detection of lung congestion. Our study assessed a new contact-free optical medical device used for the early detection of lung congestion.
METHODS METHODS
The Gili system is an FDA-cleared device used for measuring chest motion vibration data. Lung congestion in the study was assessed clinically and verified via two cardiologists. An algorithm was developed using machine learning techniques, and cross-validation of the findings was performed to estimate the accuracy of the algorithm.
RESULTS RESULTS
A total of 227 patients were recruited (101 cases vs. 126 controls). The sensitivity and specificity for the device in our study were 0.91 (95% CI: 0.86-0.93) and 0.91 (95% CI: 0.87-0.94), respectively. In all instances, the observed estimates of PPVs and NPVs were at least 0.82 and 0.90, respectively. The accuracy of the algorithm was not affected by different covariates (including respiratory or valvular conditions).
CONCLUSIONS CONCLUSIONS
This study demonstrates the efficacy of a contact-free optical device for detecting lung congestion. Further validation of the study results across a larger and precise scale is warranted.

Identifiants

pubmed: 36290968
pii: bios12100833
doi: 10.3390/bios12100833
pmc: PMC9599847
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

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Auteurs

Ilan Merdler (I)

Department of Cardiology, Tel Aviv Medical Center, 6 Weizmann Street, Tel Aviv, Tel-Aviv University, Tel Aviv 69978, Israel.

Aviram Hochstadt (A)

Department of Cardiology, Tel Aviv Medical Center, 6 Weizmann Street, Tel Aviv, Tel-Aviv University, Tel Aviv 69978, Israel.

Eihab Ghantous (E)

Department of Cardiology, Tel Aviv Medical Center, 6 Weizmann Street, Tel Aviv, Tel-Aviv University, Tel Aviv 69978, Israel.

Lior Lupu (L)

Department of Cardiology, Tel Aviv Medical Center, 6 Weizmann Street, Tel Aviv, Tel-Aviv University, Tel Aviv 69978, Israel.

Ariel Borohovitz (A)

Department of Cardiology, Tel Aviv Medical Center, 6 Weizmann Street, Tel Aviv, Tel-Aviv University, Tel Aviv 69978, Israel.

David Zahler (D)

Department of Cardiology, Tel Aviv Medical Center, 6 Weizmann Street, Tel Aviv, Tel-Aviv University, Tel Aviv 69978, Israel.

Philippe Taieb (P)

Department of Cardiology, Tel Aviv Medical Center, 6 Weizmann Street, Tel Aviv, Tel-Aviv University, Tel Aviv 69978, Israel.

Ben Sadeh (B)

Department of Cardiology, Tel Aviv Medical Center, 6 Weizmann Street, Tel Aviv, Tel-Aviv University, Tel Aviv 69978, Israel.

Zeev Zalevsky (Z)

Donisi Health, Formerly Contin Use Biometrics Ltd., Tel Aviv 69978, Israel.
Faculty of Engineering, Bar-Ilan University, Ramat Gan 52900, Israel.

Javier Garcia-Monreal (J)

Donisi Health, Formerly Contin Use Biometrics Ltd., Tel Aviv 69978, Israel.
Department of Optics, University of Valencia, 46003 Valencia, Spain.

Michael Shergei (M)

Donisi Health, Formerly Contin Use Biometrics Ltd., Tel Aviv 69978, Israel.

Maxim Shatsky (M)

Donisi Health, Formerly Contin Use Biometrics Ltd., Tel Aviv 69978, Israel.

Yoav Beck (Y)

Donisi Health, Formerly Contin Use Biometrics Ltd., Tel Aviv 69978, Israel.

Sagi Polani (S)

Donisi Health, Formerly Contin Use Biometrics Ltd., Tel Aviv 69978, Israel.

Yaron Arbel (Y)

Department of Cardiology, Tel Aviv Medical Center, 6 Weizmann Street, Tel Aviv, Tel-Aviv University, Tel Aviv 69978, Israel.
Donisi Health, Formerly Contin Use Biometrics Ltd., Tel Aviv 69978, Israel.

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