ArticleScientific reports2023
Prognostic and risk factor analysis of cancer patients after unplanned ICU admission: a real-world multicenter study.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.
- Representation and reporting of patients with cancer in mortality-focused adult ICU randomized trials: a systematic review.BMC anesthesiology · 2026Pooled it
- Unplanned health service utilisation among people living with cancer and mental health conditions: A retrospective matched case-comparison study in Australia.The Australian and New Zealand journal of psychiatry · 2026Article
- Article
- How prognostic information influences care planning in adult intensive care units: protocol for a realist review.BMJ open · 2026Article
- Prediction of 48-h Intensive Care Unit Mortality in Hospitalized Cancer Patients: Performance of the EPIC Deterioration Index and Sequential Organ Failure Assessment Score.Journal of intensive care medicine · 2026Article
- Prognostic Role of Nutritional and Inflammatory Indices in Predicting Adverse Clinical Outcomes in Unplanned Hospitalized Oncology Patients.Journal of clinical medicine · 2026Article
- Oncologic and physiologic predictors of mortality after intensive care unit admission in patients with lung cancer.Annals of the American Thoracic Society · 2026Article
- Article
- Outcomes of Cancer Patients Requiring Non-elective Medical Admission to the Intensive Care Unit of a Tertiary Care Center in India: A 5-year Retrospective Study.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2026Article
- When and for Whom Does Intensive Care Unit Admission Change the Prognosis in Oncology?-A Scoping Review.Cancers · 2025Review
- Article
- Prediction of Hyperinflammatory Phenotypes in Critically Ill Patients via Routine Clinical Data and IL-6: Towards Personalized Anti-Inflammatory Therapy.International journal of molecular sciences · 2025Article
- Chemotherapy-related cognitive impairment and kidney dysfunction.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2025Review
- Amikacin Dosing Adjustment in Critically Ill Oncologic Patients: A Study with Real-World Patients, PBPK Analysis, and Digital Twins.Pharmaceutics · 2025Article
- Multidisciplinary collaborative approach to cardiopulmonary rehabilitation in cancer patients with intensive care unit-acquired weakness: a clinical efficacy and safety analysis.American journal of cancer research · 2025Article
- Characteristics Associated with Length of Stay in Intensive Care Unit for Cancer Patients in China: A Nationwide Retrospective Cohort Study.Journal of multidisciplinary healthcare · 2025Article
- The impact of renal dysfunction after critical illness on the management of cancer.Frontiers in nephrology · 2025Article
- Transcriptome-based network analysis related to regulatory T cells infiltration identified RCN1 as a potential biomarker for prognosis in clear cell renal cell carcinoma.BioData mining · 2024Article
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Authors and funding
35 authors at 20 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To investigate the occurrence and 90-day mortality of cancer patients following unplanned admission to the intensive care unit (ICU), as well as to develop a risk prediction model for their 90-day prognosis. We prospectively analyzed data from cancer patients who were admitted to the ICU without prior planning within the past 7 days, specifically between May 12, 2021, and July 12, 2021. The patients were grouped based on their 90-day survival status, and the aim was to identify the risk factors influencing their survival status. A total of 1488 cases were included in the study, with an average age of 63.2 ± 12.4 years. The most common reason for ICU admission was sepsis (n = 940, 63.2%). During their ICU stay, 29.7% of patients required vasoactive drug support (n = 442), 39.8% needed invasive mechanical ventilation support (n = 592), and 82 patients (5.5%) received renal replacement therapy. We conducted a multivariate COX proportional hazards model analysis, which revealed that BMI and a history of hypertension were protective factors. On the other hand, antitumor treatment within the 3 months prior to admission, transfer from the emergency department, general ward, or external hospital, high APACHE score, diagnosis of shock and respiratory failure, receiving invasive ventilation, and experiencing acute kidney injury (AKI) were identified as risk factors for poor prognosis within 90 days after ICU admission. The average length of stay in the ICU was 4 days, while the hospital stay duration was 18 days. A total of 415 patients died within 90 days after ICU admission, resulting in a mortality rate of 27.9%. We selected 8 indicators to construct the predictive model, which demonstrated good discrimination and calibration. The prognosis of cancer patients who are unplanned transferred to the ICU is generally poor. Assessing the risk factors and developing a risk prediction model for these patients can play a significant role in evaluating their prognosis.
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