- Letter to the Editor
- Open access
- Published:
The method to identify invasive mechanical ventilation with Japanese claim data
Journal of Intensive Care volume 12, Article number: 48 (2024)
Abstract
Dr. Ohbe et al. reported that only 40.4% of patients who underwent invasive mechanical ventilation were treated in intensive care units, with significant variations in intensive care unit admission rates observed between hospitals and regions using Japanese claims data. The issue of validation when using claim data has been reported in previous studies. The definition of invasive mechanical ventilation used by Dr. Ohbe et al. appears overly broad, encompassing non-invasive mechanical ventilations via nasal mask and manual ventilation. We discuss the limitation of their method in identifying invasive mechanical ventilation, which is critical for defining the study population.
To the Editor,
We read with great interest the study by Dr. Ohbe et al. This retrospective cohort study, based on the nationwide Japanese inpatient administrative database, found that only 40.4% of patients who underwent invasive mechanical ventilation (IMV) were treated in Intensive Care Units (ICU), with significant variation in ICU admission rates across hospitals and regions [1]. However, we have concerns regarding the method used to identify the target population underwent IMV.
The limitations of claims data have been discussed in previous studies. The concordance between diagnostic codes in claim data and actual diagnoses often varies by disease [2], and the incidence and mortality rates estimated using claim data may differ from actual situations [3]. Therefore, efforts are commonly made to combine multiple codes to accurately identify target populations [4]. Different methods have been employed in prior studies using claim data to identify the same condition, and the positive predictive value (PPV) of these methods has varied [4]. Since sensitivity and PPV have a trade-off relationship [5], it is crucial to carefully select the most appropriate codes based on the specific research objectives.
In Dr. Ohbe et al.’s study, only the Japanese procedure code for “artificial ventilation (J045)” was used to detect IMV. This code is too broad to accurately identify IMV, as it includes a wide range of interventions, such as manual ventilation (e.g., bag-valve-mask ventilation) and non-IMV via nasal mask in case of acute respiratory failure (PaO2/FiO2 ≤ 300 or PaCO2 ≥ 45 mmHg). While home mechanical ventilation or ventilation on the same day as general anesthesia is excluded, artificial ventilation during CPR can be claimed by J045, which contradicts Dr. Ohbe et al.’s explanation. To grasp the situation of IMV appropriately and to conduct future research, it is desirable that the definition of IMV using procedure code will be reconsidered.
The J044 procedure code for “lifesaving endotracheal intubation” may improve the PPV for detecting IMV, though it may reduce sensitivity. Intubation for general anesthesia or diagnostic exam cannot be claimed by J044, therefore we could not include the patients who received IMV following these procedures with intubation. In addition, there is no procedure code for extubation, which makes it difficult to detect transition from IMV to non-IMV using claim data.
Identifying IMV using procedure code is complex. Therefore, selecting an appropriate combination of procedure codes based on the study objective is essential. Using only the code for “artificial ventilation (J045)” may be too broad a definition to accurately detect IMV, although some prior studies on IMV have also relied solely on it [6, 7]. The most critical factor is understanding the applicable conditions for each procedure code, and it is necessary to consult with doctors or other medical staffs familiar with clinical practice in that area. Following these clarifications, a validation study is warranted to confirm the accuracy and reliability of the procedure codes for identifying IMV in future research.
For future research utilizing big data from insurance claims, careful attention must be paid to the coding methods used.
Availability of data and materials
Not applicable.
Abbreviations
- IMV:
-
Invasive mechanical ventilation
- ICU:
-
Intensive care unit
- PPV:
-
Positive predictive value
- CPR:
-
Cardiopulmonary resuscitation
References
Ohbe H, Shime N, Yamana H, Goto T, Sasabuchi Y, Kudo D, et al. Hospital and regional variations in intensive care unit admission for patients with invasive mechanical ventilation. J Intensive Care. 2024;12:21.
Wittenborn JS, Lee AY, Lundeen EA, Lamuda P, Saaddine J, Su GL, et al. Validity of administrative claims and electronic health registry data from a single practice for Eye Health Surveillance. JAMA Ophthalmol. 2023;141:534–41.
Rhee C, Dantes R, Epstein L, Murphy DJ, Seymour CW, Iwashyna TJ, et al. Incidence and trends of sepsis in US hospitals using clinical vs claims data, 2009–2014. JAMA J Am Med Assoc. 2017;318:1241–9.
Kee VR, Gilchrist B, Granner MA, Sarrazin NR, Carnahan RM. A systematic review of validated methods for identifying seizures, convulsions, or epilepsy using administrative and claims data. Pharmacoepidemiol Drug Saf. 2012;21:183–93.
Southern DA, Roberts B, Edwards A, Dean S, Norton P, Svenson LW, et al. Validity of administrative data claim-based methods for identifying individuals with diabetes at a population level. Can J Public Health. 2010;101:61–4. https://doiorg.publicaciones.saludcastillayleon.es/10.1007/BF03405564.
Ohbe H, Matsui H, Yasunaga H. Regional critical care bed capacity and incidence and mortality of mechanical ventilation in Japan. Am J Respir Crit Care Med. 2024;210:358–61.
Ohbe H, Ouchi K, Miyamoto Y, Ishigami Y, Matsui H, Yasunaga H, et al. One-year functional outcomes after invasive mechanical ventilation for older adults with preexisting long-term care-needs∗. Crit Care Med. 2023;51:584–93.
Acknowledgements
None.
Funding
None.
Author information
Authors and Affiliations
Contributions
SA conceived the study. SA wrote the first draft of this manuscript. IY critically revised the manuscript. All authors read and approved the final version of the manuscript.
Corresponding author
Ethics declarations
Ethics approval and consent to participate
Not applicable.
Consent for publication
Not applicable.
Competing interests
The authors declare no competing interests.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
About this article
Cite this article
Sakamoto, A., Inoue, Y. The method to identify invasive mechanical ventilation with Japanese claim data. j intensive care 12, 48 (2024). https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s40560-024-00760-0
Received:
Accepted:
Published:
DOI: https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s40560-024-00760-0