The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Interpreting Arterial Blood Gases Successfully
Open accessAbstract
Arterial blood gas (ABG) analysis is a crucial skill for perioperative nurses, in particular the RN circulator. This article provides the physiological basis for assessing ABGs perioperatively and presents a systematic approach to blood gas analysis using the Romanski method. Blood gas sample data allow the reader to practice ABG interpretation. In addition, four case studies are presented that give the reader the opportunity to analyze ABGs within the context of surgical patient scenarios. The ability to accurately assess ABGs allows the perioperative nurse to assist surgical team members in restoring a patient's acid-base balance.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“By T6, most infants had reached a pH of 7.40, with a subset exceeding this threshold and becoming alkalotic (pH > 7.40) (13–15).”
From Lab values in neonates with hypoxic ischemic encephalopathy over time during and after therapeutic hypothermia (2026) · cites this paper as [15]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Overall, most pCO2 measurements remained within the normal range (35–45 mmHg) (13–15).”
From Lab values in neonates with hypoxic ischemic encephalopathy over time during and after therapeutic hypothermia (2026) · cites this paper as [15]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Base Deficit as a Guide to Volume Resuscitation
DAVIS, J. W., SHACKFORD, S. R., MACKERSIE, R. C., & HOYT, D. B. (1988) · The Journal of Trauma: Injury, Infection, and Critical Care · doi:10.1097/00005373-198810000-00010 · Cited by 281
Heisler, N. (1988) · Physiology of Elasmobranch Fishes · doi:10.1007/978-3-642-73336-9_8 · Cited by 209
Haljamäe, H., AMUNDSON, B., BAGGE, U., Jennische, E., & Brånemark, P. (1979) · Pathology - Research and Practice · doi:10.1016/s0344-0338(79)80071-0 · Cited by 52
Pocket Companion to Guyton and Hall Textbook of Medical Physiology
Hall, J. E. (2020) · Cited by 24
Walker, H. K., Hall, W., & Hurst, J. (1990) · Cited by 23
Pathophysiology and Classification of Shock States
Astiz, M. E. (2011) · Elsevier eBooks · doi:10.1016/b978-1-4377-1367-1.00090-2 · Cited by 10
Using an algorithm to interpret arterial blood gases
Shoulders-Odom, B. (2000) · Dimensions of Critical Care Nursing · doi:10.1097/00003465-200019010-00010 · Cited by 8
INTERPRETING ARTERIAL BLOOD GASES
Pruitt, W. C., & Jacobs, M. E. (2004) · Nursing · doi:10.1097/00152193-200408000-00052 · Cited by 8
Perioperative Acid-Base Balance
Neligan, P. J., & Deutschman, C. S. (2010) · Elsevier eBooks · doi:10.1016/b978-0-443-06959-8.00049-2 · Cited by 6
Horne, C. H., & Derrico, D. J. (1999) · AJN American Journal of Nursing · doi:10.2307/3472183 · Cited by 4
Research works printed but not linked: 9
- Romanski S.O., 1986, Interpreting ABGs in four easy steps, Nursing, 16, 58
- Romanski S.O., 1986, Interpreting ABGs in four easy steps, Nursing, 16, 58
- Romanski S.O., 1986, Interpreting ABGs in four easy steps, Nursing, 16, 58
- Romanski S.O., 1986, Interpreting ABGs in four easy steps, Nursing, 16, 58
- Thompson F.C., 1982, Thompson's Chain‐Referenced Bible. New International Version, 118
- Romanski S.O., 1986, Interpreting ABGs in four easy steps, Nursing, 16, 58
- Neligan P.J., 2015, Miller's Anesthesia, 1811
- McCance K.L., 2014, Pathophysiology: The Biologic Basis for Diseases in Adults and Children, 1229
- Horne C., 1999, Mastering ABGs. The art of arterial blood gas measurement, Am J Nurs, 99, 26
Cited by
Evolutionary study and structural basis of proton sensing by Mus GPR4 and Xenopus GPR4
Wen, X., Shang, P., Chen, H., Guo, L., Rong, N., Jiang, X., Li, X., Liu, J., Gong-ming, Y., Zhang, J., et al. (2025) · Cell · doi:10.1016/j.cell.2024.12.001 · Cited by 55
Carbon Dioxide Sensing—Biomedical Applications to Human Subjects
Dervieux, E., Théron, M., & Uhring, W. (2021) · Italian National Conference on Sensors · doi:10.3390/s22010188 · Cited by 48
Determining a target SpO2 to maintain PaO2 within a physiological range
Röttgering, J. G., de Man, A., Schuurs, T. C., Wils, E., Daniels, J. M. A., van den Aardweg, J. G., Girbes, A. R. J., & Smulders, Y. M. (2021) · PLoS ONE · doi:10.1371/journal.pone.0250740 · Cited by 28
Fundamentals of Arterial Blood Gas Interpretation
Yee, J., Frinak, S., Mohiuddin, N., & Uduman, J. (2022) · Kidney360 · doi:10.34067/kid.0008102021 · Cited by 31
Turan, E. İ., Baydemir, A. E., Balıtatlı, A. B., & Şahin, A. S. (2025) · Journal of Clinical Anesthesia · doi:10.1016/j.jclinane.2025.111787 · Cited by 18
Metadata
- Authors
- Larkin, B. G., & Zimmanck, R. J.
- Venue
- AORN Journal
- Publisher
- Wiley
- Published
- 2015-09-27
- Volume
- 102
- Issue
- 4
- Pages
- 343-357
- ISSN
- 0001-2092 (ISSN-L)
- 1878-0369
- OpenAlex
- W1897146418
- Cited by
- 43
- References
- 13
- Citations by year
- 2026: 2 · 2025: 7 · 2024: 6 · 2023: 3 · 2022: 7 · 2021: 6 · 2020: 3 · 2019: 5 · 2018: 2 · 2017: 2
- FWCI
- 1.15
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- onlinelibrary.wiley.com/termsAndConditions#vor (vor)
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- Locations
- AORN Journal (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Nephrology › Renal function and acid-base balance
- Health Sciences › Health Professions › Medical Laboratory Technology › Clinical Laboratory Practices and Quality Control
- Health Sciences › Medicine › Surgery › Hemodynamic Monitoring and Therapy
- Keywords
- arterial blood gas interpretation, perioperative nursing, acid-base balance, blood gas analysis, surgical patients, case studies
- MeSH terms
- Arteries, Blood Gas Analysis, Education, Continuing, Humans, Hydrogen-Ion Concentration
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Interpreting Arterial Blood Gases Successfully. https://app.cochat.ai/papers/10.1016/j.aorn.2015.08.002
- The paper
- Larkin, B. G., & Zimmanck, R. J. (2015). Interpreting Arterial Blood Gases Successfully. AORN Journal. https://doi.org/10.1016/j.aorn.2015.08.002
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.