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Radwan S, Mourad DF, Hamdy R, Kamel MM, Abdel-Moneim AS, Elkhashab DM, Kadry DY. Clinical Profiles, Laboratory Biomarkers, and Mortality in Cancer Patients with Lower Respiratory Tract Infections: A Prospective Cohort Study. MEDICINA (KAUNAS, LITHUANIA) 2024; 60:901. [PMID: 38929518 PMCID: PMC11205937 DOI: 10.3390/medicina60060901] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2024] [Revised: 05/26/2024] [Accepted: 05/27/2024] [Indexed: 06/28/2024]
Abstract
Respiratory tract infections (RTIs) pose a substantial health burden worldwide, especially among immunocompromised groups like cancer patients. The aim of this prospective cohort study was to explore lower respiratory tract infections in cancer patients. We followed 107 cases with clinically or radiologically suspected lower respiratory tract infections until discharge or death, comprising 65 males and 42 females across diverse age groups. Clinical evaluations, including patient history, examination, and malignancy diagnosis, were conducted. Nasopharyngeal swabs (NPSs), sputum samples, and blood samples were collected within 24 h of symptom onset. Multiplex Real-Time PCR allowed for the simultaneous detection of viral, bacterial, and fungal infections, while conventional microbiological culture methods were used for bacterial and fungal analysis. SARS-CoV-2 infection was excluded in all of the enrolled patients using real-time RT-PCR. Hematological and biochemical analyses included hemoglobin, lymphocyte, neutrophil, and platelet counts, along with ALT, AST, creatinine, and CRP levels. Significant differences were noted in clinical presentations, management outcomes, and prognostic markers among patients with different hematological malignancies. Distinct clinical profiles were identified for leukemia, lymphoma, and solid tumors, with variations in age distribution and symptom prevalence. ICU admission rates varied significantly, with solid tumor patients exhibiting higher rates. The hematological and biochemical biomarkers differed across malignancies, with notable associations between lymphopenia, thrombocytopenia, and mortality following respiratory episodes. This study highlights the critical role of rapid pathogen detection and infection control measures in safeguarding vulnerable cancer patients from nosocomial transmission.
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Affiliation(s)
- Samah Radwan
- Clinical Pathology Department, National Cancer Institute, Cairo University, Cairo 12613, Egypt
| | - Dalia F. Mourad
- Clinical Pathology Department, National Cancer Institute, Cairo University, Cairo 12613, Egypt
| | - Rana Hamdy
- Pediatric Oncology Department, National Cancer Institute, Cairo University, Cairo 12613, Egypt
| | - Mahmoud M. Kamel
- Clinical Pathology Department, National Cancer Institute, Cairo University, Cairo 12613, Egypt
| | - Ahmed S. Abdel-Moneim
- Department of Microbiology, College of Medicine, Taif University, Al-Taif 21974, Saudi Arabia
| | - Dina M. Elkhashab
- Clinical Pathology Department, National Cancer Institute, Cairo University, Cairo 12613, Egypt
| | - Dalia Y. Kadry
- Clinical Pathology Department, National Cancer Institute, Cairo University, Cairo 12613, Egypt
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AlSaied G, Lababidi H, AlHawdar T, AlZahrani S, AlMotairi A, AlMaani M. Outcome of Cancer Patients with an Unplanned Intensive Care Unit Admission: Predictors of Mortality and Long-term Survival. SAUDI JOURNAL OF MEDICINE & MEDICAL SCIENCES 2024; 12:153-161. [PMID: 38764561 PMCID: PMC11098267 DOI: 10.4103/sjmms.sjmms_145_23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 08/27/2023] [Accepted: 11/19/2023] [Indexed: 05/21/2024]
Abstract
Background Understanding the characteristics and outcomes of cancer patients with unplanned ICU admission is imperative for therapeutic decisions and prognostication purposes. Objective To describe the clinical characteristics of patients with hematological and non-hematological malignancies (NHM) who require unplanned ICU admission and to determine the predictors of mortality and long-term survival. Methods This retrospective study included all patients with cancer who had an unplanned ICU admission between 2011 and 2016 at a tertiary hospital in Saudi Arabia. The following variables were collected: age, gender, ICU length of stay (LOS), APACHE II score, type of malignancy, febrile neutropenia, source and time of admission, and need for mechanical ventilation (MV), renal replacement therapy (RRT), and treatment with vasopressors (VP). Predictors of mortality and survival rates at 28 days and 3, 6, and 12 months were calculated. Results The study included 410 cancer patients with 466 unplanned ICU admissions. Of these, 52% had NHM. The average LOS in the ICU was 9.6 days and the mean APACHE score was 21.9. MV was needed in 73% of the patients, RRT in 15%, and VP in 24%, while febrile neutropenia was present in 24%. There were statistically significant differences between survivors and non-survivors in the APACHE II score (17.7 ± 8.0 vs. 25.6 ± 9.2), MV use (52% vs. 92%), need for RRT (6% vs. 23%), VP use (42% vs. 85%), and presence of febrile neutropenia (18% vs. 30%). The predictors of mortality were need for MV (OR = 4.97), VP (OR = 3.43), RRT (OR = 3.31), and APACHE II score (OR = 1.10). Survival rates at 28 days, 3, 6, and 12 months were 52%, 28%, 22%, and 15%, respectively. Conclusion The survival rate of cancer patients with an unplanned admission to the ICU remains low. Predictors of mortality include need for MV, RRT, and VP and presence of febrile neutropenia. About 85% of cancer patients died within 1 year after ICU admission.
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Affiliation(s)
- Ghiath AlSaied
- Department of Adult Critical Care, King Fahad Medical City, Boston, MA, USA
| | - Hani Lababidi
- Department of Adult Critical Care, King Fahad Medical City, Boston, MA, USA
- Department of Health Professions Education, MGH-Institute of Health Professions, Boston, MA, USA
| | - Taher AlHawdar
- Department of Adult Critical Care, King Fahad Medical City, Boston, MA, USA
| | - Saud AlZahrani
- Department of Adult Critical Care, King Fahad Medical City, Boston, MA, USA
| | - Abdullah AlMotairi
- Department of Critical Care, Suleiman AlHabib Hospital, Riyadh, Saudi Arabia
| | - Mohamad AlMaani
- Department of Adult Critical Care, King Fahad Medical City, Boston, MA, USA
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Wei M, Huang M, Duan Y, Wang D, Xing X, Quan R, Zhang G, Liu K, Zhu B, Ye Y, Zhou D, Zhao J, Ma G, Jiang Z, Huang B, Xu S, Xiao Y, Zhang L, Wang H, Lin R, Ma S, Qiu Y, Wang C, Zheng Z, Sun N, Xian L, Li J, Zhang M, Guo Z, Tao Y, Zhang L, Zhou X, Chen W, Wang D, Chi J. Prognostic and risk factor analysis of cancer patients after unplanned ICU admission: a real-world multicenter study. Sci Rep 2023; 13:22340. [PMID: 38102299 PMCID: PMC10724261 DOI: 10.1038/s41598-023-49219-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Accepted: 12/05/2023] [Indexed: 12/17/2023] Open
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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Affiliation(s)
- Miao Wei
- Department of Intensive Care Unit, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, Shanxi, China
| | - Mingguang Huang
- Department of Intensive Care Unit, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, Shanxi, China.
| | - Yan Duan
- Department of Intensive Care Unit, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, Shanxi, China
| | - Donghao Wang
- Department of Intensive Care Unit, Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center of Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Xuezhong Xing
- Department of Intensive Care Unit, Cancer Hospital Chinese Academy of Medical Sciences, Beijing, China
| | - Rongxi Quan
- Department of Intensive Care Unit, Cancer Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, China
| | - Guoxing Zhang
- Department of Intensive Care Unit, Gaoxin District of Jilin Cancer Hospital, Changchun, Jilin, China
| | - Kaizhong Liu
- Department of Intensive Care Unit, Zhejiang Cancer Hospital, Hangzhou, Zhejiang, China
| | - Biao Zhu
- Department of Intensive Care Unit, Fudan University Affiliated Shanghai Cancer Hospital, Shanghai, China
| | - Yong Ye
- Department of Intensive Care Unit, Fujian Cancer Hospital and Fujian Medical University Cancer Hospital, Fuzhou, Fujian, China
| | - Dongmin Zhou
- Department of Intensive Care Unit, Henan Cancer Hospital, Zhengzhou, Henan, China
| | - Jianghong Zhao
- Department of Intensive Care Unit, Hunan Cancer Hospital, Changsha, Hunan, China
| | - Gang Ma
- Department of Intensive Care Unit, Sun Yat-Sen University Cancer Center, Guangzhou, Guangdong, China
| | - Zhengying Jiang
- Department of Intensive Care Unit, Chongqing University Cancer Hospital, Chongqing, Sichuan, China
| | - Bing Huang
- Department of Intensive Care Unit, Guangxi Medical University Affiliated Tumor Hospital, Nanning, Guangxi, China
| | - Shanling Xu
- Department of Intensive Care Unit, Sichuan Cancer Hospital and Institute, Chengdu, Sichuan, China
| | - Yun Xiao
- Department of Intensive Care Unit, Yunnan Cancer Hospital, Kunming, Yunnan, China
| | - Linlin Zhang
- Department of Intensive Care Unit, Anhui Province Cancer Hospital, Hefei, Anhui, China
| | - Hongzhi Wang
- Department of Intensive Care Unit, Beijing Cancer Hospital, Beijing, China
| | - Ruiyun Lin
- Department of Intensive Care Unit, Cancer Hospital of Shantou University Medical College, Shantou, Guangdong, China
| | - Shuliang Ma
- Department of Intensive Care Unit, Jiangsu Cancer Hospital, Nanjing, Jiangsu, China
| | - Yu'an Qiu
- Department of Intensive Care Unit, Jiangxi Provincial Tumor Hospital, Nanchang, Jiangxi, China
| | - Changsong Wang
- Department of Intensive Care Unit, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, China
| | - Zhen Zheng
- Department of Intensive Care Unit, Liaoning Cancer Hospital and Institute, Shenyang, Liaoning, China
| | - Ni Sun
- Department of Intensive Care Unit, Huguang District of Jilin Cancer Hospital, Changchun, Jilin, China
| | - Lewu Xian
- Department of Intensive Care Unit, Affiliated Cancer Hospital and Institute of Guangzhou Medical University, Guangzhou, Guangdong, China
| | - Ji Li
- Department of Intensive Care Unit, Hainan Cancer Hospital, Haikou, Hainan, China
| | - Ming Zhang
- Department of Intensive Care Unit, Hangzhou Cancer Hospital, Hangzhou, Zhejiang, China
| | - Zhijun Guo
- Department of Intensive Care Unit, Shandong First Medical University Affiliated Tumor Hospital, Jinan, Shandong, China
| | - Yong Tao
- Department of Intensive Care Unit, Nantong Tumor Hospital, Nantong, Jiangsu, China
| | - Li Zhang
- Department of Intensive Care Unit, Hubei Cancer Hospital, Wuhan, Hubei, China
| | - Xiangzhe Zhou
- Department of Intensive Care Unit, Gansu Provincial Cancer Hospital, Lanzhou, Gansu, China
| | - Wei Chen
- Department of Intensive Care Unit, Beijing Shijitan Hospital (Capital Medical University Cancer Hospital), Beijing, China
| | - Daoxie Wang
- Department of Intensive Care Unit, Cancer Hospital of Zhengzhou, Zhengzhou, Henan, China
| | - Jiyan Chi
- Department of Intensive Care Unit, Tumor Hospital of Mudanjiang City, Mudanjiang, Heilongjiang, China
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Bosch-Compte R, Visa L, Rios A, Duran X, Fernández-Real M, Gomariz-Vilaldach G, Masclans JR. Prognostic factors in oncological patients with solid tumours requiring intensive care unit admission. Oncol Lett 2023; 26:525. [PMID: 37927417 PMCID: PMC10623089 DOI: 10.3892/ol.2023.14112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Accepted: 10/05/2023] [Indexed: 11/07/2023] Open
Abstract
The aim of the present study was to identify factors predicting in-hospital mortality in patients with cancer admitted to a medical Intensive Care Unit (ICU), and to evaluate their functional status and survival during follow-up at the oncology service in the initial 12 months after hospital discharge. A retrospective observational study was performed on 129 consecutive oncological patients with solid tumours admitted to the medical ICU of the Hospital del Mar (Barcelona, Spain) between January 2016 and June 2018. Demographics, and clinical data in-ICU and in-hospital mortality were recorded. Post-hospital discharge follow-up was also carried out. ICU and hospital mortality rates were 24% (n=31) and 40.3% (n=52), respectively. Sequential Organ Failure Assessment (SOFA) score (HR, 1.20; 95% CI, 1.01-1.42; P=0.037), neutropenia on admission (HR, 8.53; 95% CI, 2.15-33.82; P=0.002), metastatic disease (HR, 3.92; 95% CI, 1.82-8.45; P<0.001), need for invasive mechanical ventilation (HR, 5.78; 95% CI, 1.61-20.73; P=0.007), surgery during hospital admission (HR, 0.23; 95% CI, 0.09-0.61; P=0.003) and ICU stay (>48 h) (HR, 0.11; 95% CI, 0.04-0.29; P<0.001) were the independent risk factors for ICU mortality. Overall, 59.5% of the survivors had good functional status at hospital discharge and 28.7% of patients with cancer admitted to the ICU were alive 1 year after hospital discharge, most of them (85.7%) with good functional status (Eastern Cooperative Oncology Group 0-1). In conclusion, hospital mortality may be associated with SOFA score at ICU admission, the need for invasive mechanical ventilation, neutropenia and metastatic disease. Only 40% of patients with oncological disease admitted to the ICU died during their hospital stay, and >50% of the survivors presented good functional status at hospital discharge. Notably, 1 year after hospital discharge, 28.7% of patients were alive, most of them with a good functional status.
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Affiliation(s)
- Raquel Bosch-Compte
- Department of Critical Care Medicine, Hospital del Mar, 08003 Barcelona, Spain
| | - Laura Visa
- Department of Medical Oncology, Hospital del Mar, 08003 Barcelona, Spain
- Network Biomedical Research Center in Cancer, Ministry of Science and Innovation, Government of Spain, 28029 Madrid, Spain
| | - Alejandro Rios
- Department of Medical Oncology, Hospital del Mar, 08003 Barcelona, Spain
| | - Xavier Duran
- Hospital del Mar Medical Research Institute Foundation, 08003 Barcelona, Spain
| | - Maria Fernández-Real
- Department of Critical Care Medicine, Hospital del Mar, 08003 Barcelona, Spain
- Hospital del Mar Medical Research Institute Foundation, 08003 Barcelona, Spain
| | - Gemma Gomariz-Vilaldach
- Department of Critical Care Medicine, Hospital del Mar, 08003 Barcelona, Spain
- Hospital del Mar Medical Research Institute Foundation, 08003 Barcelona, Spain
| | - Joan Ramon Masclans
- Department of Critical Care Medicine, Hospital del Mar, 08003 Barcelona, Spain
- Hospital del Mar Medical Research Institute Foundation, 08003 Barcelona, Spain
- Department of Medicine and Life Sciences, Pompeu Fabra University, 08002 Barcelona, Spain
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Gonzalez F, Starka R, Ducros L, Bisbal M, Chow-Chine L, Servan L, de Guibert JM, Pastene B, Faucher M, Sannini A, Leone M, Mokart D. Critically ill metastatic cancer patients returning home after unplanned ICU stay: an observational, multicentre retrospective study. Ann Intensive Care 2023; 13:73. [PMID: 37605072 PMCID: PMC10441975 DOI: 10.1186/s13613-023-01170-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Accepted: 08/03/2023] [Indexed: 08/23/2023] Open
Abstract
BACKGROUND Data about critically ill metastatic cancer patients functional outcome after unplanned admission to the ICU are scarce. The aim of this study was to assess factors associated with 90-day return home and 1-year survival in this population. STUDY DESIGN AND METHODS A multicenter retrospective study included all consecutive metastatic cancer patients admitted to the ICU for unplanned reason between 2017 and 2020. RESULTS Among 253 included metastatic cancer patients, mainly with lung cancer, 94 patients (37.2%) could return home on day 90. One-year survival rate was 28.5%. Performance status 0 or 1 (OR, 2.18; 95% CI 1.21-3.93; P = 0.010), no malnutrition (OR, 2.90; 95% CI 1.61-5.24; P < 0.001), female gender (OR, 2.39; 95% CI 1.33-4.29; P = 0.004), recent chemotherapy (OR, 2.62; 95% CI 1.40-4.90; P = 0.003), SOFA score ≤ 5 on admission (OR, 2.62; 95% CI 1.41-4.90; P = 0.002) were significantly predictive for 90-day return home. Malnutrition (HR, 1.66; 95% CI 1.18-2.22; P = 0.003), acute respiratory failure (ARF) as reason for admission (HR, 1.40; 95% CI 1.10-1.95; P = 0.043), SAPS II on admission (HR, 1.03; 95% CI 1.02-1.05; P < 0.001) and decisions to forgo life-sustaining therapies (DFLST) (HR, 2.80; 95% CI 2.04-3.84; P < 0.001) were independently associated with 1-year mortality. CONCLUSIONS More than one out of three metastatic cancer patients could return home within 3 months after an unplanned admission to the ICU. Previous performance and nutritional status, ongoing specific treatment and low severity of the acute illness were found to be predictive for return home. Such encouraging findings should help change the dismal perception of critically ill metastatic cancer patients.
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Affiliation(s)
- Frédéric Gonzalez
- Polyvalent Intensive Care Unit, Department of Anesthesiology and Critical Care, Institut Paoli-Calmettes, 232 Boulevard Sainte Marguerite, 13009 Marseille Cedex 09, France
| | - Rémi Starka
- Polyvalent Intensive Care Unit, Sainte Musse Hospital, Toulon, France
| | - Laurent Ducros
- Polyvalent Intensive Care Unit, Sainte Musse Hospital, Toulon, France
| | - Magali Bisbal
- Polyvalent Intensive Care Unit, Department of Anesthesiology and Critical Care, Institut Paoli-Calmettes, 232 Boulevard Sainte Marguerite, 13009 Marseille Cedex 09, France
| | - Laurent Chow-Chine
- Polyvalent Intensive Care Unit, Department of Anesthesiology and Critical Care, Institut Paoli-Calmettes, 232 Boulevard Sainte Marguerite, 13009 Marseille Cedex 09, France
| | - Luca Servan
- Polyvalent Intensive Care Unit, Department of Anesthesiology and Critical Care, Institut Paoli-Calmettes, 232 Boulevard Sainte Marguerite, 13009 Marseille Cedex 09, France
| | - Jean-Manuel de Guibert
- Polyvalent Intensive Care Unit, Department of Anesthesiology and Critical Care, Institut Paoli-Calmettes, 232 Boulevard Sainte Marguerite, 13009 Marseille Cedex 09, France
| | - Bruno Pastene
- Department of Anesthesiology and Intensive Care Unit, Nord Hospital, Assistance Publique Hôpitaux Universitaire de Marseille, Aix Marseille University, Marseille, France
| | - Marion Faucher
- Polyvalent Intensive Care Unit, Department of Anesthesiology and Critical Care, Institut Paoli-Calmettes, 232 Boulevard Sainte Marguerite, 13009 Marseille Cedex 09, France
| | - Antoine Sannini
- Polyvalent Intensive Care Unit, Department of Anesthesiology and Critical Care, Institut Paoli-Calmettes, 232 Boulevard Sainte Marguerite, 13009 Marseille Cedex 09, France
| | - Marc Leone
- Department of Anesthesiology and Intensive Care Unit, Nord Hospital, Assistance Publique Hôpitaux Universitaire de Marseille, Aix Marseille University, Marseille, France
| | - Djamel Mokart
- Polyvalent Intensive Care Unit, Department of Anesthesiology and Critical Care, Institut Paoli-Calmettes, 232 Boulevard Sainte Marguerite, 13009 Marseille Cedex 09, France
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Assi HI, Halim NA, Alameh I, Khoury J, Nahra V, Sukhon F, Charafeddine M, El Nakib C, Moukalled N, Bou Zerdan M, Bou Khalil P. Outcomes of Patients with Malignancy Admitted to the Intensive Care Units: A Prospective Study. Crit Care Res Pract 2021; 2021:4792309. [PMID: 34513091 PMCID: PMC8429029 DOI: 10.1155/2021/4792309] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Revised: 08/17/2021] [Accepted: 08/19/2021] [Indexed: 11/17/2022] Open
Abstract
INTRODUCTION Decisions regarding whether advanced cancer patients should be admitted to the ICU are based on a complex suite of considerations, including short- and long-term prognosis, quality of life, and therapeutic options to treat cancer. We aimed to describe demographic, clinical, and survival data and to identify factors associated with mortality in critically ill advanced cancer patients with nonelective admissions to general ICUs. MATERIALS AND METHODS Critically ill adult (≥18 years old) cancer patients nonelectively admitted to the intensive care units at the American University of Beirut Medical Center between August 1st 2015 and March 1st 2019 were included. Demographic, clinical, and laboratory data were prospectively collected from the first day of ICU admission up to 30 days after discharge. This study was strictly observational, and clinical decisions were left to the discretion of the ICU team and attending physician. RESULTS 272 patients were enrolled in the study between August 1st 2015 and March 1st 2019, with an ICU mortality rate of 43.4%, with the number rising to 59% within 30 days of ICU discharge. The mean length of stay in our ICU was 14 days (IQR: 1-120) with a median overall survival of 22 days since the date of ICU admission. The major reasons for unplanned ICU admission were sepsis/septic shock (54%) and respiratory failure (33.1%). Cox regression analysis revealed 7 major predictors of poor prognosis. Direct admission from the ED was associated with a higher risk of mortality (48.9%) than being transferred from the floor (32.6%) (p=0.014). CONCLUSION Our study has shown that being directly admitted to the ICU from the ED rather than being transferred from regular wards, developing AKI, sepsis, MOF, and ARDS, or having an uncontrolled malignancy are all predictive factors for short-term mortality in critically ill cancer patients nonelectively admitted to the ICU. Vasopressor use and mechanical ventilation were also predictors of mortality.
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Affiliation(s)
- Hazem I. Assi
- Department of Internal Medicine, Division of Hematology and Oncology, Naef K. Basile Cancer Institute, American University of Beirut Medical Center, Beirut, Lebanon
| | - Nour Abdul Halim
- Department of Internal Medicine, Division of Hematology and Oncology, Naef K. Basile Cancer Institute, American University of Beirut Medical Center, Beirut, Lebanon
| | - Ibrahim Alameh
- Department of Internal Medicine, Division of Hematology and Oncology, Naef K. Basile Cancer Institute, American University of Beirut Medical Center, Beirut, Lebanon
| | - Jessica Khoury
- Department of Internal Medicine, Division of Hematology and Oncology, Naef K. Basile Cancer Institute, American University of Beirut Medical Center, Beirut, Lebanon
| | - Vicky Nahra
- Department of Internal Medicine, Division of Hematology and Oncology, Naef K. Basile Cancer Institute, American University of Beirut Medical Center, Beirut, Lebanon
| | - Fares Sukhon
- Department of Internal Medicine, Division of Hematology and Oncology, Naef K. Basile Cancer Institute, American University of Beirut Medical Center, Beirut, Lebanon
| | - Maya Charafeddine
- Department of Internal Medicine, Division of Hematology and Oncology, Naef K. Basile Cancer Institute, American University of Beirut Medical Center, Beirut, Lebanon
| | - Clara El Nakib
- Department of Internal Medicine, Division of Hematology and Oncology, Naef K. Basile Cancer Institute, American University of Beirut Medical Center, Beirut, Lebanon
| | - Nour Moukalled
- Department of Internal Medicine, Division of Hematology and Oncology, Naef K. Basile Cancer Institute, American University of Beirut Medical Center, Beirut, Lebanon
| | - Maroun Bou Zerdan
- Department of Internal Medicine, Division of Hematology and Oncology, Naef K. Basile Cancer Institute, American University of Beirut Medical Center, Beirut, Lebanon
| | - Pierre Bou Khalil
- Department of Internal Medicine, Division of Pulmonary and Critical Care, American University of Beirut Medical Center, Beirut, Lebanon
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Cheng TH, Sie YD, Hsu KH, Goh ZNL, Chien CY, Chen HY, Ng CJ, Li CH, Seak JCY, Seak CK, Liu YT, Seak CJ. Shock Index: A Simple and Effective Clinical Adjunct in Predicting 60-Day Mortality in Advanced Cancer Patients at the Emergency Department. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17134904. [PMID: 32646021 PMCID: PMC7370122 DOI: 10.3390/ijerph17134904] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Revised: 06/25/2020] [Accepted: 06/30/2020] [Indexed: 12/13/2022]
Abstract
Deciding between palliative and overly aggressive therapies for advanced cancer patients who present to the emergency department (ED) with acute issues requires a prediction of their short-term survival. Various scoring systems have previously been studied in hospices or intensive care units, though they are unsuitable for use in the ED. We aim to examine the use of a shock index (SI) in predicting the 60-day survival of advanced cancer patients presenting to the ED. Identified high-risk patients and their families can then be counseled accordingly. Three hundred and five advanced cancer patients who presented to the EDs of three tertiary hospitals were recruited, and their data retrospectively analyzed. Relevant data regarding medical history and clinical presentation were extracted, and respective shock indices calculated. Multivariate logistic regression analyses were performed. Receiver operating characteristic (ROC) curves were plotted to evaluate the predictive performance of the SI. Nonsurvivors within 60 days had significantly lower body temperatures and blood pressure, as well as higher pulse rates, respiratory rates, and SI. Each 0.1 SI increment had an odds ratio of 1.39 with respect to 60-day mortality. The area under the ROC curve was 0.7511. At the optimal cut-off point of 0.94, the SI had 81.38% sensitivity and 73.11% accuracy. This makes the SI an ideal evaluation tool for rapidly predicting the 60-day mortality risk of advanced cancer patients presenting to the ED. Identified patients can be counseled accordingly, and they can be assisted in making informed decisions on the appropriate treatment goals reflective of their prognoses.
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Affiliation(s)
- Tzu-Heng Cheng
- Department of Emergency Medicine, Lin-Kou Medical Center, Chang Gung Memorial Hospital, Taoyuan 33305, Taiwan; (T.-H.C.); (H.-Y.C.); (C.-J.N.); (C.-H.L.); (S.I.)
- College of Medicine, Chang Gung University, Taoyuan 33302, Taiwan
- Department of Emergency Medicine, New Taipei Municipal Tucheng Hospital, New Taipei City 23652, Taiwan
| | - Yi-Da Sie
- Department of Emergency Medicine, China Medical University Hospital, Taichung 404332, Taiwan;
| | - Kuang-Hung Hsu
- Laboratory for Epidemiology, Department of Health Care Management, and Healthy Aging Research Center, Chang Gung University, Taoyuan 33302, Taiwan;
| | - Zhong Ning Leonard Goh
- Sarawak General Hospital, Kuching, Sarawak 93586, Malaysia; (Z.N.L.G.); (J.C.-Y.S.); (C.-K.S.)
| | - Cheng-Yu Chien
- Department of Emergency Medicine, Ton-Yen General Hospital, Zhubei, Hsinchu County 30268, Taiwan;
| | - Hsien-Yi Chen
- Department of Emergency Medicine, Lin-Kou Medical Center, Chang Gung Memorial Hospital, Taoyuan 33305, Taiwan; (T.-H.C.); (H.-Y.C.); (C.-J.N.); (C.-H.L.); (S.I.)
- College of Medicine, Chang Gung University, Taoyuan 33302, Taiwan
| | - Chip-Jin Ng
- Department of Emergency Medicine, Lin-Kou Medical Center, Chang Gung Memorial Hospital, Taoyuan 33305, Taiwan; (T.-H.C.); (H.-Y.C.); (C.-J.N.); (C.-H.L.); (S.I.)
- College of Medicine, Chang Gung University, Taoyuan 33302, Taiwan
| | - Chih-Huang Li
- Department of Emergency Medicine, Lin-Kou Medical Center, Chang Gung Memorial Hospital, Taoyuan 33305, Taiwan; (T.-H.C.); (H.-Y.C.); (C.-J.N.); (C.-H.L.); (S.I.)
- College of Medicine, Chang Gung University, Taoyuan 33302, Taiwan
| | - Joanna Chen-Yeen Seak
- Sarawak General Hospital, Kuching, Sarawak 93586, Malaysia; (Z.N.L.G.); (J.C.-Y.S.); (C.-K.S.)
| | - Chen-Ken Seak
- Sarawak General Hospital, Kuching, Sarawak 93586, Malaysia; (Z.N.L.G.); (J.C.-Y.S.); (C.-K.S.)
| | - Yi-Tung Liu
- School of Medicine, National Defense Medical Center, Taipei 11490, Taiwan;
| | - Chen-June Seak
- Department of Emergency Medicine, Lin-Kou Medical Center, Chang Gung Memorial Hospital, Taoyuan 33305, Taiwan; (T.-H.C.); (H.-Y.C.); (C.-J.N.); (C.-H.L.); (S.I.)
- College of Medicine, Chang Gung University, Taoyuan 33302, Taiwan
- Department of Emergency Medicine, New Taipei Municipal Tucheng Hospital, New Taipei City 23652, Taiwan
- Correspondence:
| | - SPOT Investigators
- Department of Emergency Medicine, Lin-Kou Medical Center, Chang Gung Memorial Hospital, Taoyuan 33305, Taiwan; (T.-H.C.); (H.-Y.C.); (C.-J.N.); (C.-H.L.); (S.I.)
- College of Medicine, Chang Gung University, Taoyuan 33302, Taiwan
- Department of Emergency Medicine, New Taipei Municipal Tucheng Hospital, New Taipei City 23652, Taiwan
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8
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Na SH, Shin CS, Kim GH, Kim JH, Lee JS. Long-term mortality of patients discharged from the hospital after successful critical care in the ICU in Korea: a retrospective observational study in a single tertiary care teaching hospital. Korean J Anesthesiol 2019; 73:129-136. [PMID: 31220909 PMCID: PMC7113159 DOI: 10.4097/kja.d.18.00275] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2018] [Accepted: 06/18/2019] [Indexed: 11/10/2022] Open
Abstract
Background The long-term outcomes of patients discharged from the hospital after successful care in intensive care unit (ICU) are not briskly evaluated in Korea. The aim of this study was to assess long-term mortality of patients treated in the ICU and discharged alive from the hospital and to identify predictive factors of mortality. Methods In 3,679 adult patients discharged alive from the hospital after ICU care between 2006 and 2011, the 1-year mortality rate (primary outcome measure) was investigated. Various factors were entered into multivariate analysis to identify independent factors of 1-year mortality, including sex, age, severity of illness (APACHE II score), mechanical ventilation, malignancy, readmission, type of admission (emergency, elective surgery, and medical), and diagnostic category (trauma and non-trauma). Results The 1-year mortality rate was 13.4%. Risk factors that were associated with 1-year mortality included age (hazard ratio: 1.03 [95% CI, 1.02–1.04], P < 0.001), APACHE II score (1.03 [1.01–1.04], P < 0.001), mechanical ventilation (1.96 [1.60–2.41], P < 0.001), malignancy (2.31 [1.82–2.94], P < 0.001), readmission (1.65 [1.31–2.07], P < 0.001), emergency surgery (1.66 [1.18–2.34], P = 0.003), ICU admission due to medical causes (4.66 [3.68–5.91], P < 0.001), and non-traumatic diagnostic category (6.04 [1.50–24.38], P = 0.012). Conclusions The 1-year mortality rate was 13.4%. Old age, high APACHE II score, mechanical ventilation, malignancy, readmission, emergency surgery, ICU admission due to medical causes, and non-traumatic diagnostic category except metabolic/endocrinologic category were associated with 1-year mortality.
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Affiliation(s)
- Se Hee Na
- Department of Anesthesiology and Pain Medicine, Yonsei University College of Medicine, Seoul, Korea.,Anesthesia and Pain Research Institute, Yonsei University College of Medicine, Seoul, Korea
| | - Cheung Soo Shin
- Department of Anesthesiology and Pain Medicine, Yonsei University College of Medicine, Seoul, Korea.,Anesthesia and Pain Research Institute, Yonsei University College of Medicine, Seoul, Korea
| | - Gwan Ho Kim
- Department of Anesthesiology and Pain Medicine, Yonsei University College of Medicine, Seoul, Korea
| | - Jae Hoon Kim
- Department of Anesthesiology and Pain Medicine, Yonsei University College of Medicine, Seoul, Korea
| | - Jong Seok Lee
- Department of Anesthesiology and Pain Medicine, Yonsei University College of Medicine, Seoul, Korea.,Anesthesia and Pain Research Institute, Yonsei University College of Medicine, Seoul, Korea
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9
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Hsiue EHC, Lee PL, Chen YH, Wu TH, Cheng CF, Cheng KM, Yang PC, Chen HW, Lin PY, Chiang DL, Wu HD, Yang JCH, Yu CJ. Weaning outcome of solid cancer patients requiring mechanical ventilation in the intensive care unit. J Formos Med Assoc 2019; 118:995-1004. [PMID: 30857753 DOI: 10.1016/j.jfma.2019.02.007] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2018] [Revised: 01/22/2019] [Accepted: 02/20/2019] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND Whether the weaning outcome of solid cancer patients receiving mechanical ventilation (MV) in the intensive care unit (ICU) is comparable to that in non-cancer patients is unknown. The aim of this study was to compare the weaning outcomes between non-cancer patients and patients with different types of cancer. METHODS We studied patients requiring MV during ICU stay for medical reasons between 2012 and 2014. Cancer patients were grouped into those with lung cancer (LC), head and neck cancer (HNC), hepatocellular carcinoma (HCC), and other cancers (OC). The primary endpoint was successful weaning at day 90 after the initiation of MV, and the main secondary endpoints were 28-day and 90-day mortality after ICU admission. RESULTS Five hundred and eighteen patients with solid cancers and 1362 non-cancer patients were recruited. The rate of successful weaning at day 90 was 57.9% in cancer patients, which was lower than 68.9% in non-cancer patients (p < 0.001). Compared to non-cancer patients, LC was associated with a lower probability of weaning at day 90 (hazard ratio 0.565, 95% CI 0.446 to 0.715), while HNC, HCC, and OC had similar probabilities. The 28-day and 90-day mortality rates were higher in cancer patients than in non-cancer patients (45.2% vs. 29.4%, and 65.6% vs. 37.7%, respectively, both p < 0.001). CONCLUSION Among mechanically ventilated patients in the ICU, those with LC were associated with a lower probability of weaning at day 90 compared to non-cancer patients.
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Affiliation(s)
- Emily Han-Chung Hsiue
- Department of Oncology, National Taiwan University Hospital, No. 7, Chung-Shan South Road, Taipei, 100, Taiwan; Cellular and Molecular Medicine Program, Johns Hopkins School of Medicine, Suite 2-103, 1830 East Monument St, Baltimore, MD, 21205, USA
| | - Pei-Lin Lee
- Department of Internal Medicine, National Taiwan University Hospital, No. 7, Chung-Shan South Road, Taipei, 100, Taiwan; Center of Sleep Disorder, National Taiwan University Hospital, No. 7, Chung-Shan South Road, Taipei, 100, Taiwan; Center for Electronics Technology Integration, National Taiwan University Hospital, No. 7, Chung-Shan South Road, Taipei, 100, Taiwan.
| | - Yung-Hsuan Chen
- Department of Internal Medicine, National Taiwan University Hospital, No. 7, Chung-Shan South Road, Taipei, 100, Taiwan
| | - Ting-Hui Wu
- Department of Oncology, National Taiwan University Hospital, No. 7, Chung-Shan South Road, Taipei, 100, Taiwan; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 N Wolfe St, Baltimore, MD, 21205, USA
| | - Chiao-Feng Cheng
- Department of Internal Medicine, National Taiwan University Hospital, No. 7, Chung-Shan South Road, Taipei, 100, Taiwan
| | - Keng-Man Cheng
- Department of Oncology, National Taiwan University Hospital, No. 7, Chung-Shan South Road, Taipei, 100, Taiwan
| | - Po-Chun Yang
- Department of Oncology, National Taiwan University Hospital, No. 7, Chung-Shan South Road, Taipei, 100, Taiwan
| | - Hsing-Wu Chen
- Department of Oncology, National Taiwan University Hospital, No. 7, Chung-Shan South Road, Taipei, 100, Taiwan
| | - Pei-Yu Lin
- Department of Internal Medicine, National Taiwan University Hospital, No. 7, Chung-Shan South Road, Taipei, 100, Taiwan
| | - Dai-Lung Chiang
- Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, No.1, Sec.4, Roosevelt Road, Taipei, Taiwan
| | - Huey-Dong Wu
- Department of Integrated Diagnostics and Therapeutics, National Taiwan University Hospital, No. 7, Chung-Shan South Road, Taipei, 100, Taiwan
| | - James Chih-Hsin Yang
- Department of Oncology, National Taiwan University Hospital, No. 7, Chung-Shan South Road, Taipei, 100, Taiwan; Department of Medical Research, National Taiwan University Hospital, No. 7, Chung-Shan South Road, Taipei, 100, Taiwan; Graduate Institute of Oncology, National Taiwan University College of Medicine, No. 1, Sec. 1, Ren-Ai Rd, 100, Taipei, Taiwan; National Taiwan University Cancer Center, No. 1, Sec. 1, Ren-Ai Rd, Taipei, 100, Taiwan
| | - Chong-Jen Yu
- Department of Internal Medicine, National Taiwan University Hospital, No. 7, Chung-Shan South Road, Taipei, 100, Taiwan; Center of Sleep Disorder, National Taiwan University Hospital, No. 7, Chung-Shan South Road, Taipei, 100, Taiwan
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10
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Outcomes for Critically Ill Cancer Patients in the ICU: Current Trends and Prediction. Int Anesthesiol Clin 2018; 54:e62-75. [PMID: 27623129 DOI: 10.1097/aia.0000000000000121] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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11
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Vincent F, Soares M, Mokart D, Lemiale V, Bruneel F, Boubaya M, Gonzalez F, Cohen Y, Azoulay E, Darmon M. In-hospital and day-120 survival of critically ill solid cancer patients after discharge of the intensive care units: results of a retrospective multicenter study-A Groupe de recherche respiratoire en réanimation en Onco-Hématologie (Grrr-OH) study. Ann Intensive Care 2018; 8:40. [PMID: 29582210 PMCID: PMC6890921 DOI: 10.1186/s13613-018-0386-6] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2017] [Accepted: 03/17/2018] [Indexed: 12/19/2022] Open
Abstract
Objectives To assess outcomes at hospital discharge and day-120 after intensive care unit (ICU) discharge among patients with solid cancer admitted to ICU and to identify characteristics associated with in-hospital and day-120 after ICU discharge mortalities. Design International, multicenter, retrospective study. Setting Five ICUs in France and Brazil, two located in cancer centers, two in university affiliated and one in general hospitals. Patients Consecutive patients aged > 18 years, with underlying solid cancers (known before admission to the ICU or diagnosed during the stay in the ICU), admitted to the participating ICUs and discharged alive from the ICU from January 2006 to December 2011 were included in this study. Patients admitted after scheduled surgery or to secure procedure were excluded. Variables of interest were in-hospital and day-120 post-ICU mortality among patients discharged alive from the ICU. Interventions None. Measurements and results A total of 1053 patients aged 63 years (54–71) (median [IQR]) were included. Most of the patients were of the male gender (66.8%). The in-ICU, in-hospital, and four-month post-ICU discharge mortalities were, respectively, 41.3, 60.7, and 65.8%. Among patients discharged alive from the ICU, in multivariate analysis, factors associated with four months post-ICU discharge mortality were type of cancer (OR from 0.25 to 0.52 when compared to lung cancers), systemic extension of the disease (OR 2.54; 95% CI 1.87–3.45), need for invasive mechanical ventilation (OR 2.54; 95% CI 1.80–3.59), for vasopressors (OR 2.35; 95% CI 1.66–3.29), or renal replacement therapy (OR 1.54; 95% CI 0.99–2.38). A predictive score, “Oncoscore,” was built performing fairly in predicting 4 months post-ICU discharge outcome (AUC 0.74; 95% CI 0.71–0.77). Conclusion Despite the high day-120 mortality following the ICU discharge, our study reports a meaningful medium-term survival rate after the ICU discharge of solid cancer patients. Of utmost importance, the “Oncoscore” must be validated in prospective studies and cannot be used, in its form without external validation, for individual decision making. Prospective studies to answer questions not provided by this study are needed, including only patients with solid cancers admitted in the ICU for medical reasons or after emergency surgery. Electronic supplementary material The online version of this article (10.1186/s13613-018-0386-6) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- François Vincent
- Medical-Surgical Intensive Care Unit, Le Raincy-Montfermeil General Hospital, 10, rue du Général Leclerc, 93370, Montfermeil, France.
| | - Marcio Soares
- D'Or Institute for Research and Education, Rio de Janeiro, Brazil.,Programa de Pós-Graduação em Oncologia, Instituto Nacional de Câncer, Rio de Janeiro, Brazil
| | - Djamel Mokart
- Anesthesiology and Intensive Care Unit, Paoli Calmette Institute, Marseille, France
| | - Virginie Lemiale
- Medical Intensive Care Unit, Saint-Louis University Hospital, AP-HP, Paris, France
| | - Fabrice Bruneel
- Medical-Surgical Intensive Care Unit, Mignot Hospital, Le Chesnay, France
| | - Marouane Boubaya
- Clinical Research Unit, Avicenne University Hospital, AP-HP, Bobigny, France
| | - Frédéric Gonzalez
- Medical-Surgical Intensive Care Unit, Avicenne University Hospital, AP-HP, Bobigny, France
| | - Yves Cohen
- Medical-Surgical Intensive Care Unit, Avicenne University Hospital, AP-HP, Bobigny, France
| | - Elie Azoulay
- Medical Intensive Care Unit, Saint-Louis University Hospital, AP-HP, Paris, France.,ECSTRA Team, Biostatistics and Clinical Epidemiology, UMR 1153 (Center of Epidemiology and Biostatistics, Sorbonne Paris Cité, CRESS), INSERM, Paris Diderot Sorbonne University, Paris, France
| | - Michaël Darmon
- Medical Intensive Care Unit, Saint-Louis University Hospital, AP-HP, Paris, France
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12
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Leoni D, Encina B, Rello J. Managing the oncologic patient with suspected pneumonia in the intensive care unit. Expert Rev Anti Infect Ther 2017; 14:943-60. [PMID: 27573637 DOI: 10.1080/14787210.2016.1228453] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
INTRODUCTION Solid cancer patients are frequently admitted in intensive care units for critical events. Improving survival rates in this setting is considered an achievable goal today. Respiratory failure is the main reason for admission, representing a primary target for research. AREAS COVERED This review presents a diagnostic and therapeutic algorithm for pneumonia and other severe respiratory events in the solid cancer population. It aims to increase awareness of the risk factors and the different etiologies in this changing scenario in which neutropenia no longer seems to be a decisive factor in poor outcome. Bacterial pneumonia is the leading cause, but opportunistic diseases and non-infectious etiologies, especially unexpected adverse effects of radiation, biological drugs and monoclonal antibodies, are becoming increasingly frequent. Options for respiratory support and diagnostics are discussed and indications for antibiotics in the management of pneumonia are detailed. Expert commentary: Prompt initiation of critical care to facilitate optimal decision-making in the management of respiratory failure, early etiological assessment and appropriate antibiotic therapy are cornerstones in management of severe pneumonia in oncologic patients.
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Affiliation(s)
- D Leoni
- a Infectious Disease Department , Tor Vergata University Hospital, University of 'La Sapienza' , Rome , Italy.,b Clinical Research & Innovation in Pneumonia & Sepsis (CRIPS) , Vall d'Hebron Institute of Research , Barcelona , Spain
| | - B Encina
- b Clinical Research & Innovation in Pneumonia & Sepsis (CRIPS) , Vall d'Hebron Institute of Research , Barcelona , Spain
| | - J Rello
- b Clinical Research & Innovation in Pneumonia & Sepsis (CRIPS) , Vall d'Hebron Institute of Research , Barcelona , Spain.,c Centro de Investigación Biomédica En Red - Enfermedades Respiratorias (CIBERES) , Vall d'Hebron Institute of Research , Barcelona , Spain.,d Department of Medicine , Universitat Autònoma de Barcelona , Barcelona , Spain
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13
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Significant Clinical Factors Associated with Long-term Mortality in Critical Cancer Patients Requiring Prolonged Mechanical Ventilation. Sci Rep 2017; 7:2148. [PMID: 28526862 PMCID: PMC5438375 DOI: 10.1038/s41598-017-02418-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2017] [Accepted: 04/11/2017] [Indexed: 02/08/2023] Open
Abstract
Studies about prognostic assessment in cancer patients requiring prolonged mechanical ventilation (PMV) for post-intensive care are scarce. We retrospectively enrolled 112 cancer patients requiring PMV support who were admitted to the respiratory care center (RCC), a specialized post-intensive care weaning facility, from November 2009 through September 2013. The weaning success rate was 44.6%, and mortality rates at hospital discharge and after 1 year were 43.8% and 76.9%, respectively. Multivariate logistic regression showed that weaning failure, in addition to underlying cancer status, was significantly associated with an increased 1-year mortality (odds ratio, 6.269; 95% confidence interval, 1.800–21.834; P = 0.004). Patients who had controlled non-hematologic cancers and successful weaning had the longest median survival, while those with other cancers who failed weaning had the worst. Patients with low maximal inspiratory pressure, anemia, and poor oxygenation at RCC admission had an increased risk of weaning failure. In conclusion, cancer status and weaning outcome were the most important determinants associated with long-term mortality in cancer patients requiring PMV. We suggest palliative care for those patients with clinical features associated with worse outcomes. It is unknown whether survival in this specific patient population could be improved by modifying the risk of weaning failure.
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14
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Fisher R, Dangoisse C, Crichton S, Whiteley C, Camporota L, Beale R, Ostermann M. Short-term and medium-term survival of critically ill patients with solid tumours admitted to the intensive care unit: a retrospective analysis. BMJ Open 2016; 6:e011363. [PMID: 27797987 PMCID: PMC5073479 DOI: 10.1136/bmjopen-2016-011363] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
OBJECTIVES Patients with cancer frequently require unplanned admission to the intensive care unit (ICU). Our objectives were to assess hospital and 180-day mortality in patients with a non-haematological malignancy and unplanned ICU admission and to identify which factors present on admission were the best predictors of mortality. DESIGN Retrospective review of all patients with a diagnosis of solid tumours following unplanned admission to the ICU between 1 August 2008 and 31 July 2012. SETTING Single centre tertiary care hospital in London (UK). PARTICIPANTS 300 adult patients with non-haematological solid tumours requiring unplanned admission to the ICU. INTERVENTIONS None. PRIMARY AND SECONDARY OUTCOMES Hospital and 180-day survival. RESULTS 300 patients were admitted to the ICU (median age 66.5 years; 61.7% men). Survival to hospital discharge and 180 days were 69% and 47.8%, respectively. Greater number of failed organ systems on admission was associated with significantly worse hospital survival (p<0.001) but not with 180-day survival (p=0.24). In multivariate analysis, predictors of hospital mortality were the presence of metastases (OR 1.97, 95% CI 1.08 to 3.59), Acute Physiology and Chronic Health Evaluation II (APACHE II) Score (OR 1.07, 95% CI 1.01 to 1.13) and a Glasgow Coma Scale Score <7 on admission to ICU (OR 5.21, 95% CI 1.65 to 16.43). Predictors of worse 180-day survival were the presence of metastases (OR 2.82, 95% CI 1.57 to 5.06), APACHE II Score (OR 1.07, 95% CI 1.01 to 1.13) and sepsis (OR 1.92, 95% CI 1.09 to 3.38). CONCLUSIONS Short-term and medium-term survival in patients with solid tumours admitted to ICU is better than previously reported, suggesting that the presence of cancer alone should not be a barrier to ICU admission.
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Affiliation(s)
- Richard Fisher
- Department of Critical Care, King's College London, Guy's & St Thomas’ Hospital NHS Foundation Trust, London, UK
- Department of Critical Care, Royal Brompton and Harefield NHS Foundation Trust, London, UK
| | - Carole Dangoisse
- Department of Critical Care, King's College London, Guy's & St Thomas’ Hospital NHS Foundation Trust, London, UK
- Department of Critical Care, King's College Hospital NHS Foundation Trust, London, UK
| | - Siobhan Crichton
- Division of Health and Social Care Research, King's College London, London, UK
| | - Craig Whiteley
- Department of Critical Care, King's College London, Guy's & St Thomas’ Hospital NHS Foundation Trust, London, UK
| | - Luigi Camporota
- Department of Critical Care, King's College London, Guy's & St Thomas’ Hospital NHS Foundation Trust, London, UK
| | - Richard Beale
- Department of Critical Care, King's College London, Guy's & St Thomas’ Hospital NHS Foundation Trust, London, UK
| | - Marlies Ostermann
- Department of Critical Care, King's College London, Guy's & St Thomas’ Hospital NHS Foundation Trust, London, UK
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15
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Gupta R, Heshami N, Jay C, Ramesh N, Song J, Lei X, Rose EJ, Carter K, Araujo DM, Benjamin RS, Patel S, Nates JL, Ravi V. Predictors of survival in patients with sarcoma admitted to the intensive care unit. Clin Sarcoma Res 2016; 6:12. [PMID: 27437097 PMCID: PMC4950117 DOI: 10.1186/s13569-016-0051-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2016] [Accepted: 06/17/2016] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Advances in treatment of sarcoma patients has prolonged survival but has led to increased disease- or treatment-related complications resulting in greater number of admissions to the intensive care unit (ICU). Survival and long-term outcome information about such critically ill patients with sarcoma is unknown. METHODS The primary objective of the study was to determine the ICU and post-ICU survival rates of critically ill sarcoma patients. Secondary objectives included determining the modifiable and non-modifiable predictors of poor survival. We performed a retrospective chart review of sarcoma patients admitted to the ICU at The University of Texas MD Anderson Cancer Center between January 1, 2005, and December 31, 2012. Main outcome measures were ICU mortality, in-hospital mortality and 1, 2, and 6-month survival rates. Covariates such as histological diagnosis, disease characteristics, chemotherapy use, Charlson comorbidity index, Sequential Organ Failure Assessment (SOFA) scores, and clinical findings leading to ICU admission were analyzed for their effects on survival. RESULTS We identified 172 admissions over the 8-year study period hat met our inclusion criteria. The study population was 45.9 % males with a median age of 52 years. The most common sarcoma subgroups were high-grade unclassified sarcoma (25 %) and bone tumors (17.4 %). The ICU mortality rate was 23.3 % (95 % confidence interval [CI], 16.9-29.6 %), and an additional 6.4 % of patients died before hospital discharge (95 % CI, 22.9-37.1 %). 6-month OS rates were 41 %. The median SOFA scores on admission were 6 (inter quartile range (IQR), 3.5-9) in ICU survivors and 10 (IQR, 6.5-14) in ICU non-survivors. Increase in SOFA scores ≥6 led to poor outcomes (ICU survival 13.3 %, OS 6.7 %). Charlson comorbidity index (HR 1.139, 95 % CI 1.023-1.268, p = 0.02) and discharge SOFA scores (HR 1.210, 95 % CI 1.141-1.283, p < 0.0001) correlated with overall survival. CONCLUSIONS Our results suggest that patients that are admitted to the ICU for respiratory failure, cardiac arrest, septic shock, acute renal failure or acidosis and also have a high SOFA score with subsequent worsening in the ICU have poor prognosis. Based on the retrospective data which needs further validation we can recommend that judicious approach should be taken in patients with predictors of poor survival before subjecting them to aggressive treatment.
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Affiliation(s)
- Rohan Gupta
- The University of Texas at Houston Internal Medicine Residency Program, Houston, TX USA
| | - Neda Heshami
- The University of Texas at Houston Internal Medicine Residency Program, Houston, TX USA
| | - Chouhan Jay
- The University of Texas at Houston Internal Medicine Residency Program, Houston, TX USA
| | - Naveen Ramesh
- The University of Texas Graduate School of Biomedical Sciences at Houston, Houston, TX USA
| | - Juhee Song
- Division of Quantitative Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Xiudong Lei
- Division of Quantitative Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Erfe Jean Rose
- Department of Critical Care, The University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Kristen Carter
- Department of Sarcoma Medical Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd # 450, Houston, TX 77030 USA
| | - Dejka M Araujo
- Department of Sarcoma Medical Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd # 450, Houston, TX 77030 USA
| | - Robert S Benjamin
- Department of Sarcoma Medical Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd # 450, Houston, TX 77030 USA
| | - Shreyaskumar Patel
- Department of Sarcoma Medical Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd # 450, Houston, TX 77030 USA
| | - Joseph L Nates
- Department of Critical Care, The University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Vinod Ravi
- Department of Sarcoma Medical Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd # 450, Houston, TX 77030 USA
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Predictors of ICU Admission in Patients With Cancer and the Related Characteristics and Outcomes: A 5-Year Registry-Based Study. Crit Care Med 2016; 44:548-53. [PMID: 26562345 DOI: 10.1097/ccm.0000000000001429] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
OBJECTIVE To identify factors predictive of admission of patients with cancer to an ICU. In addition, the study aimed to describe the characteristics and outcomes, both short-term and long-term, of patients with cancer admitted to the ICU. DESIGN Retrospective case-control study, utilizing the institution's cancer registry. SETTING Comprehensive cancer center. PATIENTS Patients with cancer. The case group consisted of patients who required ICU admission during the study period, whereas the control group consisted of patients who did not require ICU admission. INTERVENTION None. MEASUREMENTS AND MAIN RESULTS The patient characteristics and outcomes were recorded. Univariate and multivariate analyses were conducted to determine factors associated with ICU admission. The registry included 10,792 patients, and among those, 2,439 patients (22.6%) required ICU admission after a median of 10.1 months (interquartile range, 3.28-25.2). The following factors were associated with ICU admission: hematologic malignancy (odds ratio, 1.51; 95% CI, 1.26-1.81), chemotherapy (odds ratio, 1.74; 95% CI, 1.48-2.03), advanced cancer (odds ratio, 2.57; 95% CI, 1.44-4.60), and smoking (odds ratio, 1.38; 95% CI, 1.20-1.61). The most common ICU admission diagnoses were sepsis (21.5%) and respiratory insufficiency/failure (25.7%). The ICU mortality was 36.5%, whereas the 1-year and 5-year survival rates were 22.8% and 14.2%, respectively. CONCLUSION In a comprehensive cancer center, about one fourth of the patients required ICU admission. Addressing modifiable risk factors associated with ICU admission is essential to potentially reduce ICU admissions and improve long-term survival.
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