Evidence map›Paper›PMID 42524342›Full record

ArticleCureus2026

Frequency of Hypoxemia and Hyperoxemia and Their Association With 90-Day Mortality in Critically Ill Oncology Patients: A Retrospective Observational Study.

Asad Aleem, Yusra Saleem, Sadia Sadaqat, Amina Abid

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Article in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Asad AleemAnesthesiology, Shaukat Khanum Memorial Cancer Hospital and Research Centre, Lahore, PAK.
Yusra SaleemAnesthesiology, Shaukat Khanum Memorial Cancer Hospital and Research Centre, Lahore, PAK.
Sadia SadaqatAnesthesia and Critical Care, Shaukat Khanum Memorial Cancer Hospital and Research Centre, Lahore, PAK.
Amina AbidInternal Medicine, Shaukat Khanum Memorial Cancer Hospital and Research Centre, Lahore, PAK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOxygen therapy is a cornerstone of critical care management. Both inadequate oxygenation and excessive oxygen exposure have been associated with adverse physiologic effects and poorer clinical outcomes. While hypoxemia may lead to tissue hypoxia and organ dysfunction, hyperoxemia has been implicated in oxidative stress and cellular injury. This study aimed to determine the frequency of hypoxemia and hyperoxemia among critically ill patients and evaluate their association with 90-day mortality.

methodsA retrospective observational study was conducted, including 228 critically ill oncology patients admitted to the intensive care unit (ICU) or high-dependency unit (HDU). The frequency of hypoxemia and hyperoxemia was determined using predefined criteria. Ninety-day mortality was the primary outcome. Associations between oxygenation abnormalities and mortality were evaluated using chi-square and Fisher's exact tests. Univariable and multivariable logistic regression analyses were performed to identify independent predictors of mortality after adjustment for age, sex, and ICU/HDU admission status and oxygenation variables.

resultsA total of 228 critically ill patients were included in the analysis, with 90-day mortality observed in 126 patients (55.3%). There were no significant differences in age or sex between survivors and non-survivors. Patients who died were more frequently admitted to the ICU than the HDU and had a significantly higher prevalence of hypoxemia. Hyperoxemia was numerically more common among non-survivors. Mortality was markedly higher among patients with hypoxemia compared with those without, and was also higher among hyperoxemic patients. On univariable analysis, ICU admission, hypoxemia, and hyperoxemia were all associated with increased odds of 90-day mortality. After adjustment for age, sex, ICU/HDU status, and oxygenation status, increasing age, ICU admission, and hypoxemia remained independently associated with mortality, whereas hyperoxemia was not. Male sex was not associated with mortality. However, association with severe illness scores like Acute Physiology and Chronic Health Evaluation (APACHE) and Sequential Organ Failure Assessment (SOFA) scores was not analyzed and remains a major limitation of the study.

conclusionHypoxemia was common among critically ill patients and associated with increased 90-day mortality. Mortality increased progressively with worsening hypoxemia severity. Hyperoxemia demonstrated an association with mortality on unadjusted analysis but was not independently associated after adjustment. However, these findings should be interpreted with caution because illness severity scores were unavailable and could not be incorporated into the analysis.

Indexed as

hyperoxemiahypoxemiaintensive caremortalityoxygen therapy

Identifiers

PMID42524342
PMCPMC13409414

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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.