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Gyu Rak Chon 2 Articles
Hematology
Characteristics and Clinical Outcomes of Critically Ill Cancer Patients Admitted to Korean Intensive Care Units
Soo Jin Na, Tae Sun Ha, Younsuck Koh, Gee Young Suh, Shin Ok Koh, Chae-Man Lim, Won-Il Choi, Young-Joo Lee, Seok Chan Kim, Gyu Rak Chon, Je Hyeong Kim, Jae Yeol Kim, Jaemin Lim, Sunghoon Park, Ho Cheol Kim, Jin Hwa Lee, Ji Hyun Lee, Jisook Park, Juhee Cho, Kyeongman Jeon
Acute Crit Care. 2018;33(3):121-129.   Published online August 31, 2018
DOI: https://doi.org/10.4266/acc.2018.00143
  • 8,017 View
  • 272 Download
  • 6 Web of Science
  • 8 Crossref
AbstractAbstract PDF
Background
The objective of this study was to investigate the characteristics and clinical outcomes of critically ill cancer patients admitted to intensive care units (ICUs) in Korea.
Methods
This was a retrospective cohort study that analyzed prospective collected data from the Validation of Simplified Acute Physiology Score 3 (SAPS3) in Korean ICU (VSKI) study, which is a nationwide, multicenter, and prospective study that considered 5,063 patients from 22 ICUs in Korea over a period of 7 months. Among them, patients older than 18 years of age who were diagnosed with solid or hematologic malignancies prior to admission to the ICU were included in the present study.
Results
During the study period, a total of 1,762 cancer patients were admitted to the ICUs and 833 of them were deemed eligible for analysis. Six hundred fifty-eight (79%) had solid tumors and 175 (21%) had hematologic malignancies, respectively. Respiratory problems (30.1%) was the most common reason leading to ICU admission. Patients with hematologic malignancies had higher Sequential Organ Failure Assessment (12 vs. 8, P<0.001) and SAPS3 (71 vs. 69, P<0.001) values and were more likely to be associated with chemotherapy, steroid therapy, and immunocompromised status versus patients with solid tumors. The use of inotropes/ vasopressors, mechanical ventilation, and/or continuous renal replacement therapy was more frequently required in hematologic malignancy patients. Mortality rates in the ICU (41.7% vs. 24.6%, P<0.001) and hospital (53.1% vs. 38.6%, P=0.002) were higher in hematologic malignancy patients than in solid tumor patients.
Conclusions
Cancer patients accounted for one-third of all patients admitted to the studied ICUs in Korea. Clinical characteristics were different according to the type of malignancy. Patients with hematologic malignancies had a worse prognosis than did patients with solid tumor.

Citations

Citations to this article as recorded by  
  • Outcomes of Acute Respiratory Failure in Patients With Cancer in the United States
    Kiyan Heybati, Jiawen Deng, Archis Bhandarkar, Fangwen Zhou, Cameron Zamanian, Namrata Arya, Mohamad Bydon, Philippe R. Bauer, Ognjen Gajic, Allan J. Walkey, Hemang Yadav
    Mayo Clinic Proceedings.2024; 99(4): 578.     CrossRef
  • Characteristics and outcomes of cancer patients admitted to intensive care units in cancer specialized hospitals in China
    Wensheng Liu, Dongmin Zhou, Li Zhang, Mingguang Huang, Rongxi Quan, Rui Xia, Yong Ye, Guoxing Zhang, Zhuping Shen
    Journal of Cancer Research and Clinical Oncology.2024;[Epub]     CrossRef
  • Predictors of ICU mortality in patients with hemoblastosis and infectious complications
    A.V. Lyanguzov, A.S. Luchinin, S.V. Ignatyev, I.V. Paramonov
    Anesteziologiya i reanimatologiya.2023; (1): 33.     CrossRef
  • Effect of the underlying malignancy on critically ill septic patient's outcome
    Man‐Yee Man, Hoi‐Ping Shum, Sin‐Man Lam, Jacky Li, Wing‐Wa Yan, Mei‐Wan Yeung
    Asia-Pacific Journal of Clinical Oncology.2022; 18(4): 473.     CrossRef
  • Impacts of Corticosteroid Therapy at Acute Stage of Hospital-Onset Clostridioides difficile Infections
    Ching-Chi Lee, Jen-Chieh Lee, Chun-Wei Chiu, Pei-Jane Tsai, Wen-Chien Ko, Yuan-Pin Hung
    Infection and Drug Resistance.2022; Volume 15: 5387.     CrossRef
  • Hospital mortality and prognostic factors in critically ill patients with acute kidney injury and cancer undergoing continuous renal replacement therapy
    Da Woon Kim, Geum Suk Jang, Kyoung Suk Jung, Hyuk Jae Jung, Hyo Jin Kim, Harin Rhee, Eun Young Seong, Sang Heon Song
    Kidney Research and Clinical Practice.2022; 41(6): 717.     CrossRef
  • A Systematic Review and Meta-Analysis Evaluating Geographical Variation in Outcomes of Cancer Patients Treated in ICUs
    Lama H. Nazer, Maria A. Lopez-Olivo, Anne Rain Brown, John A. Cuenca, Michael Sirimaturos, Khader Habash, Nada AlQadheeb, Heather May, Victoria Milano, Amy Taylor, Joseph L. Nates
    Critical Care Explorations.2022; 4(9): e0757.     CrossRef
  • Clinico-demographic and Outcome Predictors in Solid Tumor Patients with Unplanned Intensive Care Unit Admissions: An Observational Study
    Jigeeshu Divatia, Amit M Narkhede, Harish K Chaudhari, Ujwal Dhundi, Natesh Prabu Ravisankar, Satish Sarode
    Indian Journal of Critical Care Medicine.2021; 25(12): 1421.     CrossRef
Pulmonary
The Ability of the Acute Physiology and Chronic Health Evaluation (APACHE) IV Score to Predict Mortality in a Single Tertiary Hospital
Jae Woo Choi, Young Sun Park, Young Seok Lee, Yeon Hee Park, Chaeuk Chung, Dong Il Park, In Sun Kwon, Ju Sang Lee, Na Eun Min, Jeong Eun Park, Sang Hoon Yoo, Gyu Rak Chon, Young Hoon Sul, Jae Young Moon
Korean J Crit Care Med. 2017;32(3):275-283.   Published online August 31, 2017
DOI: https://doi.org/10.4266/kjccm.2016.00990
  • 16,475 View
  • 401 Download
  • 5 Web of Science
  • 3 Crossref
AbstractAbstract PDF
Background
The Acute Physiology and Chronic Health Evaluation (APACHE) II model has been widely used in Korea. However, there have been few studies on the APACHE IV model in Korean intensive care units (ICUs). The aim of this study was to compare the ability of APACHE IV and APACHE II in predicting hospital mortality, and to investigate the ability of APACHE IV as a critical care triage criterion. Methods: The study was designed as a prospective cohort study. Measurements of discrimination and calibration were performed using the area under the receiver operating characteristic curve (AUROC) and the Hosmer-Lemeshow goodness-of-fit test respectively. We also calculated the standardized mortality ratio (SMR). Results: The APACHE IV score, the Charlson Comorbidity index (CCI) score, acute respiratory distress syndrome, and unplanned ICU admissions were independently associated with hospital mortality. The calibration, discrimination, and SMR of APACHE IV were good (H = 7.67, P = 0.465; C = 3.42, P = 0.905; AUROC = 0.759; SMR = 1.00). However, the explanatory power of an APACHE IV score >93 alone on hospital mortality was low at 44.1%. The explanatory power was increased to 53.8% when the hospital mortality was predicted using a model that considers APACHE IV >93 scores, medical admission, and risk factors for CCI >3 coincidentally. However, the discriminative ability of the prediction model was unsatisfactory (C index <0.70). Conclusions: The APACHE IV presented good discrimination, calibration, and SMR for hospital mortality.

Citations

Citations to this article as recorded by  
  • Circadian rhythms of vital signs are associated with in-hospital mortality in critically ill patients: A retrospective observational study
    Zhengning Yang, Xiaoxia Xie, Xu Zhang, Lan Li, Ruoxue Bai, Hui Long, Yanna Ma, Zhenliang Hui, Yujie Qi, Jun Chen
    Chronobiology International.2023; 40(3): 262.     CrossRef
  • Characteristics and outcomes of patients admitted to adult intensive care units in Hong Kong: a population retrospective cohort study from 2008 to 2018
    Lowell Ling, Chun Ming Ho, Pauline Yeung Ng, King Chung Kenny Chan, Hoi Ping Shum, Cheuk Yan Chan, Alwin Wai Tak Yeung, Wai Tat Wong, Shek Yin Au, Kit Hung Anne Leung, Jacky Ka Hing Chan, Chi Keung Ching, Oi Yan Tam, Hin Hung Tsang, Ting Liong, Kin Ip Law
    Journal of Intensive Care.2021;[Epub]     CrossRef
  • Evaluation and Validation of Four Scoring Systems: the APACHE IV, SAPS III, MPM0 II, and ICMM in Critically Ill Cancer Patients

    Indian Journal of Critical Care Medicine.2020; 24(4): 263.     CrossRef

ACC : Acute and Critical Care