Korean J Intern Med > Epub ahead of print
Lee, Huh, Hong, Lim, and Ahn: Short-term and long-term outcomes of critically ill patients with solid malignancy: a retrospective cohort study

Abstract

Background/Aims

With the global increase in patients with solid malignancies, it is helpful to understand the outcomes of intensive care unit (ICU) admission for these patients. This study evaluated the risk factors for ICU mortality and the short-and long-term outcomes in patients with solid malignancies who had unplanned ICU admission.

Methods

This retrospective cohort study included patients with solid malignancies treated at the medical ICU of a single tertiary center in South Korea between 2016 and 2022.

Results

Among the 955 patients, the ICU mortality rate was 23.5%. Lung cancer was the most common cancer type (34.2%) and was significantly associated with increased ICU mortality (odd ratio [OR] 1.58, p = 0.030). Higher Sequential Organ Failure Assessment scores at ICU admission (OR 1.11, p < 0.001), the need for mechanical ventilation (OR 6.74, p < 0.001), or renal replacement therapy during the ICU stay (OR 2.49, p < 0.001) were significantly associated with higher ICU mortality. The 1-year survival rate after ICU admission was 29.3%, with a median survival of 37 days for patients requiring mechanical ventilation, and 23 days for patients requiring renal replacement therapy.

Conclusions

This study showed that critically ill patients with solid malignancies had poor 1-year survival despite relatively low ICU mortality. These findings highlight the need for careful consideration of ICU admission in patients with solid malignancy, and decision-making should be based on an understanding of the expected short- and long-term prognosis of ICU admission after an informed discussion among patients, families, and physicians.

Graphical abstract

INTRODUCTION

The global incidence of cancer is increasing [1]. Previous studies indicated that patients with cancer account for approximately 10–15% of all intensive care unit (ICU) admissions, and there is an increasing trend in the number of metastatic cancer cases for ICU admissions [25]. The mortality rate of patients with advanced cancer admitted to the ICU was high [6,7]. Therefore, patients with advanced cancer were often considered a disqualifier for ICU admission in the past [8]. However, recent studies have shown a decrease in the mortality rate in patients with cancer admitted to the ICU, and this has been attributed to advances in overall critical care and sepsis management [911]. Despite these improvements, the decision to treat cancer patients with limited life expectancy in the ICU, where beds and resources are limited, remains a complex and challenging issue [6,12]. In Korea, there is a paucity of data on the outcomes of critically ill patients with solid malignancies. This study aimed to better understand the risk factors for mortality and the short- and long-term outcomes in patients with solid malignancies who had unplanned ICU admissions.

METHODS

Study design and patients

This single-center retrospective cohort study was conducted at Asan Medical Center, a tertiary hospital in Seoul, Korea. Adult patients with solid malignancies admitted to the medical ICU between January 2016 and December 2022 were included. The inclusion criteria were as follows: (i) adult patients aged > 18 years, (ii) patients who had oncological follow-ups and were on active cancer treatment, (iii) patients admitted to the ICU unexpectedly, (iv) patients treated in the ICU for more than a day or those who died on the day of ICU admission. Patients who spent only one day in the ICU for monitoring or postoperative care were excluded. Only the first ICU admission during the study period per patient was included.

Data collection

We collected the following patient data from electronic medical records: age, sex, height, weight, body mass index (BMI), Eastern cooperative oncology group (ECOG) performance status at hospital admission, underlying cancer types, date of registration in the Korea Central Cancer Registry, dates of hospital and ICU admission and discharge, cancer stages at ICU admission, causes of ICU admission, date of death, date of last follow-up, and history of chemotherapy or radiotherapy within 6 months from the index ICU admission, vasopressor administration doses, received oxygen therapy, FiO2 at ICU admission, Sequential Organ Failure Assessment (SOFA) score at ICU admission, Glasgow Coma Scale (GCS) score, laboratory measurements including arterial blood gas analysis conducted between 6 h before and 24 hours after ICU admission, use of mechanical ventilation, the new application of renal replacement therapy (RRT), extracorporeal membrane oxygenation during the ICU stay, and date of tracheostomy. Among ICU survivors, whether chemotherapy was restarted after ICU discharge and causes of in-hospital death without ICU re-admission were collected. The time from cancer diagnosis to ICU admission was calculated based on the date of ICU admission and the date of registration in the Korea Central Cancer Registry.
The primary outcome was ICU mortality. The secondary outcomes were 1-year survival rate, risk factors for ICU mortality, and organ support treatments administered during the ICU stay.

Statistical analysis

Variables are represented by means with standard deviations or medians with interquartile ranges, depending on their distribution. The included patients were divided into the ICU survivor group and the ICU non-survivor group based on ICU mortality. The baseline and ICU characteristics were compared between the two groups. The student’s t-test was used to compare continuous variables. The chi-squared test, or Fisher’s exact test, was used for categorical variables. The risk factors for ICU mortality were analyzed by multivariable logistic regression analysis. The variables with p values < 0.1 in the univariable analysis, except for those with multicollinearity, were included in the multivariable analysis and backward elimination was conducted. Survival analyses were performed using the Kaplan–Meier method and the log-rank test. All p values were two-tailed, and the threshold for statistical significance was set at p values < 0.05. All statistical analyses were performed using R version 4.2.1 (R Core Team, Vienna, Austria). Missing values were not imputed.

Ethical approval and informed consent

The study protocol was reviewed and approved by the Institutional Review Board of Asan Medical Center (IRB number: 2023-0922). The ethics review board waived the requirement for informed consent due to the observational nature of this study.

RESULTS

A total of 955 patients with solid malignancies were included. They were followed through July 19, 2023. The baseline characteristics of the patients are described in Table 1. The overall ICU mortality was 23.5%, which significantly differed based on the baseline cancer types (Fig. 1). For all types of solid malignancies, lung cancer was the most frequent type (34.2%) of cancer in our study cohort. Most patients had metastatic cancer (79.1%), and respiratory failure was the most common cause of ICU admission (46.2%), followed by shock (29.3%). The proportion of patients who received chemotherapy within 6 months was 83.4%. The SOFA score at ICU admission was 11. At the time of ICU admission, in 61.6% of the patients, the PaO2/FiO2 ratio was lower than 300, and vasopressors were used in 72.0% of patients. When comparing baseline characteristics between the ICU survivor and non-survivor groups, respiratory failure (60.3% vs. 41.9%) and cardiac arrest (10.7% vs. 3.7%) were more common in the non-survivor groups, while shock (33.4% vs. 16.1%) and post-operative/procedure (6.7% vs. 1.3%) were more common in the survivor groups (p < 0.001). The median time from cancer diagnosis to ICU admission was shorter (8.6 mo vs. 12.2 mo, p = 0.015), and the ECOG performance status was poorer (ECOG performance status 2–4; 33.5% vs. 25.3%, p = 0.020) in the non-survivor group. In the ICU non-survivor group, the PaO2/FiO2 ratio was lower (240 ± 193 vs. 289 ± 171, p = 0.001), higher doses of vasopressor were administered (0.21 ± 0.23 μg/kg/min vs. 0.14 ± 0.18 μg/kg/min, p <0.001), and the median SOFA score was higher (13 [interquartile range, 11–16] vs. 10 [interquartile range, 7–13], p < 0.001) than the ICU survivor group. The rates of neutropenia were not significantly different between the two groups (12.1% vs. 9.0%, p = 0.227). In lung and breast cancer patients, respiratory failure was the most common reason for ICU admission (67.9% and 64.8%, respectively), whereas in patients with pancreas biliary cancer, shock was the most common reason for ICU admission (Supplementary Table 1, p < 0.001). The missing variables and their number are shown in Supplementary Table 2.
During the ICU stay, 67.7% of the study patients received mechanical ventilation, and the median duration of mechanical ventilation was 6.0 days (3–13 days) (Table 2). RRT was applied in 23.2% of patients, and tracheostomy was performed in 17.4% of patients. The median length of ICU and post-ICU hospital stays was 6.0 days (3–12 days) and 9.0 days (0–19 days), respectively. The hospital mortality rate was 42.1%, and the 1-year mortality rate was 70.3%. The ICU non-survivor group was more likely to receive mechanical ventilation (95.5% vs. 59.2%, p < 0.001) and RRT (42.9% vs. 17.2%, p < 0.001), compared to the ICU survivor group.
In multivariable logistic regression analysis (Table 3), lung cancer (odds ratio [OR] 1.58, p = 0.030), SOFA score at ICU admission (OR 1.11, p < 0.001), mechanical ventilation during the ICU stay (OR 6.74, p < 0.001), and RRT during the ICU stay (OR 2.49, p < 0.001) were independent risk factors for ICU mortality. Pancreas-biliary cancer was associated with lower ICU mortality (OR 0.54, p = 0.040). In Supplementary Table 3, compared to those with respiratory failure, patients with shock (OR 0.35, p < 0.001) and post-operative/procedure (OR 0.10, p = 0.001) had a lower risk of ICU mortality.
When 1-year survival after ICU admission was compared in patients requiring mechanical ventilation or RRT, the survival rates were significantly lower in patients who received mechanical ventilation compared to those who did not receive mechanical ventilation (26.3% vs. 37.4%, p < 0.0001), and in patients who received RRT compared to those who did not (17.5% vs. 33.4%, p < 0.0001) (Fig. 2A, B). When 1-year survival rates among patients with lung, breast, urogenital, and pancreas biliary cancers were compared, the survival rates were significantly different at 24.1%, 28.8%, 31.5%, and 34.7%, respectively (p = 0.0049) (Fig. 2C).
Of the 731 patients who survived in the ICU, 178 (24.4%) died in the hospital. Of these, 141 (79.2%) were not readmitted to the ICU and died in the hospital because the patient or family decided to withhold life-sustaining treatment after experiencing deterioration on the general ward (Supplementary Table 4). Among patients who survived in the ICU, the one-year mortality rate after ICU discharge was 61.2%. Patients with metastatic cancer had the highest one-year mortality (63.8%) compared to those with other stages of cancer (p = 0.029, Supplementary Fig. 1A). Among patients with metastatic cancer who survived in the ICU (n = 568), 246 (45.9%) patients received chemotherapy after ICU discharge. Those who received post-ICU chemotherapy had significantly lower one-year mortality than those who did not receive chemotherapy (49.1% vs. 75.1%, p < 0.0001), and their median survival was 383 days and 42 days, respectively (Supplementary Fig. 1B). Among ICU survivors, those who received RRT during ICU stay had higher one-year mortality than those who did not receive RRT (69.1% vs. 60.0%, p = 0.012) (Supplementary Fig. 2B).

DISCUSSION

In this single-center, retrospective cohort study of critically ill patients with solid malignancy, the ICU mortality was not high, but the 1-year mortality of the cohort was above 70%. The types of underlying cancer and treatments received during the ICU stay were significantly associated with ICU mortality. This is the first study to report the long-term outcomes of critically ill patients with solid malignancies in Korea.
Our study showed ICU and hospital mortality rates of 23.5% and 42.1%, respectively, which are similar to the statistics previously reported from a Korean dataset and a single-cohort study from France, which included patients with solid malignancies. The Korean multi-center data from 2018 showed an ICU mortality rate of 24.6% and a hospital mortality rate of 38.6% [4]. Similarly, a study from France reported an ICU mortality rate of 22.6% [5]. Conversely, our ICU mortality rate was significantly higher than a study on national data from the Netherlands, which reported an ICU mortality rate of 13.6% for solid malignancies [8]. In the Dutch study, the rates of organ failure such as acute renal failure, the need for mechanical ventilation, and the use of vasoactive drugs were reported to be 10.2%, 36.5%, and 36.7%, respectively. In comparison, our study showed that the rates of RRT initiation, mechanical ventilation use, and use of vasopressors were 23.2%, 67.7%, and 72.0%, respectively. In addition, the median SOFA score of the patients at ICU admission was 11, which was higher than the reported study [4,5]. The difference in patient severity observed in our study and the Dutch study findings could indicate a higher baseline severity in our patient cohort. In addition, our study showed that patients who required mechanical ventilation or RRT during their ICU stay had significantly higher ORs for mortality of 6.74 and 2.49, respectively. Our study showed a significant association between a higher SOFA score on ICU admission and an increased risk of ICU death. This highlighted the fact that ICU mortality rates were higher in patients with multiple organ failure on admission and in those who required organ support therapy such as mechanical ventilation or RRT.
In our cohort, we observed that the type of cancer had a significant impact on ICU mortality. Patients with lung cancer had a higher OR of 1.58 for ICU mortality, whereas patients with pancreas biliary cancer had a lower OR of 0.54. Qian et al. [13], reported that the main reason for ICU admission in lung cancer patients was pneumonia or respiratory failure. Similarly, most lung cancer patients in our study were admitted to the ICU for respiratory failure. The discovery of various molecular oncogenes and advances in targeted and immunotherapies have led to significantly increased life expectancy in patients with lung cancer because these treatments often allow patients (even those in advanced stages) to remain stable for a longer period of time [14]. However, this increase in life expectancy has also resulted in more cases of respiratory failure due to drug-induced pneumonitis or immune-related adverse events following targeted or immunotherapy [5]. Although ICU outcomes in patients who develop adverse events as a result of targeted therapy or immunotherapy may be better than those of conventional cytotoxic chemotherapy [15,16], patients manifesting respiratory failure had worse outcomes than patients with other causes of ICU admission in our cohort. In contrast, patients with pancreas biliary cancer were more likely to be admitted to the ICU for septic shock due to biliary infection or hemorrhagic shock due to bleeding [17]. Our study showed that approximately 2/3 of the patients with pancreas biliary cancer were admitted to the ICU due to shock, and patients with shock had a lower OR for ICU mortality than those with respiratory failure. Despite the poor oncological prognosis for pancreas-biliary cancer, interventions such as biliary drainage and embolization can often be useful for the rapid reversal of sepsis, potentially leading to a higher ICU survival rate. Therefore, our findings suggest that the ICU mortality in patients with solid malignancies is closely related to their cancer type and the cause of ICU admission.
Based on the high long-term mortality, the findings could be helpful to both intensivists and oncologists, providing important data to assist with the decision-making process for ICU admission of patients with solid malignancies. A previous Korean multi-center study that studied ICU patients with malignancies did not investigate the long-term outcomes [4]. In our cohort, the majority of the patients who required ICU admission did not survive beyond a year. Only a few studies have reported long-term outcomes between cancer and non-cancer patients after ICU admission. The Dutch National Cohort study reported that patients with cancer had a significantly worse one-year mortality rate than patients without cancer [8]. The authors suggested that the underlying cancer types or their treatments were important factors in recovery from critical illness. Puxty et al. [18] reported that the 6-month and 4-year mortality rates of surgical ICU patients with cancer were higher than those of the group without cancer. They suggested that long-term survival was related to the underlying cancer, although short-term outcomes were more related to critical illness. Our study presented one-year mortality rates from ICU admission and from ICU discharge. Even after surviving from the ICU, cancer patients in our cohort still had high one-year mortality. We found that cancer stages, patients’ reception of further chemotherapy after ICU discharge, and patient and family’s willingness to receive life-sustaining treatment were associated with the long-term mortality of cancer patients after critical illness. In patients with solid malignancies, the treatment provided in the ICU can disrupt the ongoing cancer treatments due to a decline in patients’ functional status, active infections, or the development of new organ dysfunction, thereby delaying further cancer treatment until the patients’ general condition and the infection or organ dysfunction improve [19]. Such delays can lead to poor outcomes in patients with advanced cancer. Given the significant difference in one-year mortality based on whether chemotherapy was restarted after ICU discharge in our patients with metastatic cancer, evaluating the possibility of restarting chemotherapy after critical illness could be helpful in making decisions on life-sustaining treatment. Our results suggested that ICU admission itself should be considered as critical point for prognosis in patients with solid malignancy. Further, when considering life-sustaining treatments for these patients, decision-making should be based on an understanding of the expected short- and long-term prognosis based on that ICU admission and an informed discussion between the patients, their family, and the treating physician.
This study has certain limitation. Given that this was a single-center study, the generalizability of the study results is limited. However, our study included a large number of patients with data collected from one of the largest referral hospitals in Korea over 7 years after the introduction of targeted therapy and immunotherapy. We believe that these results can be indicative of contemporary clinical courses for critically ill patients with solid malignancy.
In conclusion, this study showed that critically ill patients with solid malignancy had poor 1-year survival despite relatively low ICU mortality. The types of underlying cancer and organ support therapies received during the ICU stay were significantly associated with ICU mortality. These findings highlight the need for careful consideration of ICU admission in patients with solid malignancy, and decision-making should be based on an understanding of the short- and long-term prognosis of ICU admission after an informed discussion between the patients, their families, and the treating physician.

KEY MESSAGE

1. Critically ill patients with solid malignancy have low 1-year survival rates despite low ICU mortality.
2. Cancer types and organ support therapies have a significant impact on ICU mortality.
3. This study highlights the importance of careful ICU admission decisions for cancer patients, based on a thorough understanding of their prognosis and discussions between patients, families and clinicians.

Notes

CRedit authorship contributions
Su Yeon Lee: methodology, resources, investigation, data curation, formal analysis, validation, software, writing - original draft, writing - review & editing, visualization; Jin Won Huh: resources, investigation, validation, writing - review & editing; Sang-Bum Hong: resources, investigation, validation, writing - review & editing; Chae-Man Lim: resources, investigation, validation, writing - review & editing; Jee Hwan Ahn: conceptualization, methodology, resources, investigation, data curation, formal analysis, validation, software, writing - original draft, writing - review & editing, visualization, supervision, project administration
Conflicts of interest
The authors disclose no conflicts.
Funding
None

Figure 1
Proportions of cancers and ICU mortality. ICU, intensive care unit.
kjim-2024-054f1.jpg
Figure 2
One-year survival curve using Kaplan–Meier and Log-rank test. (A) One-year survival curve based on patients who received mechanical ventilation or did not. The median survival was 37 days and 161 days, respectively. (B) One-year survival curve based on patients who received renal replacement therapy or did not. The median survival was 23 days and 91 days, respectively. (C) One-year survival curve of patients with cancer according to cancer types. The median survival was 34 days, 44 days, 107 days, and 132 days, respectively.
kjim-2024-054f2.jpg
kjim-2024-054f3.jpg
Table 1
Baseline characteristics according to ICU survival and death
Variable ICU survivor (n = 731) ICU non-survivor (n = 224) Total (n = 955) p value
Age (yr) 64.0 (57.0–71.0) 66.0 (58.0–72.0) 65.0 (57.0–71.0) 0.093
Sex, male 496 (67.9) 149 (66.5) 645 (67.5) 0.771
BMI (kg/m2) 22.2 ± 3.4 22.6 ± 3.5 22.3 ± 3.4 0.164
Cancer types < 0.001
 Lung 223 (30.5) 104 (46.4) 327 (34.2)
 Pancreatic-biliary 176 (24.1) 30 (13.4) 206 (21.6)
 Urogenital 63 (8.6) 13 (5.8) 76 (8.0)
 Breast 36 (4.9) 18 (8.0) 54 (5.7)
 Others 233 (31.9) 59 (26.3) 292 (30.6)
Stage 0.115
 Localized 34 (4.7) 5 (2.2) 39 (4.1)
 Locally advanced 129 (17.7) 32 (14.3) 161 (16.9)
 Metastatic 568 (77.7) 187 (83.5) 755 (79.1)
Causes of ICU admission < 0.001
 Respiratory failure 306 (41.9) 135 (60.3) 441 (46.2)
 Shock 244 (33.4) 36 (16.1) 280 (29.3)
 Cardiac arrest 27 (3.7) 24 (10.7) 51 (5.3)
 Altered mental status 37 (5.1) 10 (4.5) 47 (4.9)
 Metabolic acidosis 18 (2.5) 8 (3.6) 26 (2.7)
 Post-operative/procedure 49 (6.7) 3 (1.3) 52 (5.5)
 Others 50 (6.8) 8 (3.6) 58 (6.1)
Diagnosis to ICU admission (mo) 12.2 (4.2–35.2) 8.6 (3.1–24.9) 11.5 (4.0–31.5) 0.015
Recent chemotherapy 604 (82.6) 192 (85.7) 796 (83.4) 0.326
Recent radiation therapy 127 (17.4) 59 (26.3) 186 (19.5) 0.004
ECOG performance status 0.020
 0–1 546 (74.7) 149 (66.5) 695 (72.8)
 2–4 185 (25.3) 75 (33.5) 260 (27.2)
Admission to ICU transfer, day 0.0 (0.0–2.0) 1.0 (0.0–8.5) 0.0 (0.0–4.0) < 0.001
ICU admission source
 Emergency room 462 (63.2) 105 (46.9) 567 (59.4) < 0.001
 General ward 269 (36.8) 119 (53.1) 388 (40.6) < 0.001
Parameters at ICU admission
 FiO2 0.46 ± 0.23 0.58 ± 0.23 0.49 ± 0.23 < 0.001
 PaO2/FiO2 < 300 420 (57.5) 168 (75.0) 588 (61.6) < 0.001
 SOFA score 10 (7–13) 13 (11–16) 11 (8–14) < 0.001
 Vasopressors received 498 (68.1) 190 (84.8) 688 (72.0) < 0.001
 Equivalent norepinephrine dose (μg/kg/min) 0.14 ± 0.18 0.21 ± 0.23 0.16 ± 0.19 < 0.001
Laboratory results at ICU admission
 Hemoglobin (g/dL) 9.6 ± 2.0 9.4 ± 2.0 9.6 ± 2.0 0.174
 WBC (× 103/μL) 12.8 ±10.5 13.8 ±11.7 13.0 ±10.8 0.227
 Platelet (× 103/μL) 174 ±117 166 ±120 172 ±117 0.384
 BUN (mg/dL) 27.0 ±19.6 33.8 ±22.1 28.6 ±20.4 < 0.001
 Creatinine (mg/dL) 1.3 ± 1.2 1.5 ± 1.4 1.3 ± 1.2 0.018
 Total bilirubin (mg/dL) 1.62 ± 2.36 1.87 ± 3.93 1.68 ± 2.81 0.382
 Prothrombin time (INR) 1.4 ± 0.7 1.6 ± 0.7 1.5 ± 0.7 0.001
 Albumin (g/dL) 2.3 ± 0.5 2.2 ± 0.4 2.3 ± 0.5 < 0.001
 CRP (mg/dL) 15.0 ± 10.5 14.9 ± 10.2 14.9 ± 10.4 0.961
 Lactic acid (mmol/dL) 3.1 ± 3.0 4.0 ± 3.6 3.3 ± 3.2 0.001
Neutropenia 66 (9.0) 27 (12.1) 93 (9.7) 0.227

Values are presented as median (interquartile range), number (%), or mean ± standard deviation.

ICU, intensive care unit; BMI, body mass index; ECOG, Eastern cooperative oncology group; SOFA, Sequential Organ Failure Assessment; WBC, white blood cell; BUN, blood urea nitrogen; CRP, C-reactive protein.

Table 2
ICU treatment and outcomes
Variable ICU survivor (n = 731) ICU non-survivor (n = 224) Total (n = 955) p value
ICU treatment
 Mechanical ventilation 433 (59.2) 214 (95.5) 647 (67.7) < 0.001
  Duration of mechanical ventilation (day) 5.0 (3.0–10.0) 9.0 (4.0–18.0) 6.0 (3.0–13.0) < 0.001
 Renal replacement therapy 126 (17.2) 96 (42.9) 222 (23.2) < 0.001
 ECMO 17 (2.3) 9 (4.0) 26 (2.7) 0.260
 Tracheostomy 114 (15.6) 52 (23.2) 166 (17.4) 0.011
Length of stay (day)
 ICU 5.0 (3.0–10.0) 10.5 (4.0–18.0) 6.0 (3.0–12.0) < 0.001
 Post ICU 12.0 (6.0–23.0) 0.0 (0.0–0.0) 9.0 (0.0–19.0) < 0.001
 ICU admission to hospital discharge 19 (12.0–33.0) 10.5 (4.0–18.0) 17.0 (10.0–29.0) < 0.001
ICU readmission 49 (6.7) 0 (0) 49 (5.13) < 0.001
 ICU mortality 0 (0.0) 224 (100.0) 224 (23.5) < 0.001
Hospital mortality 178 (24.4) 224 (100.0) 402 (42.1) < 0.001
1-year mortality 447 (61.2) 224 (100.0) 671 (70.3) < 0.001

Values are presented as number (%) or median (interquartile range).

ICU, intensive care unit; ECMO, extracorporeal membrane oxygenation.

Table 3
Risk factors associated with ICU mortality
Variable Univariate Multivariate


OR 95% CI p value OR 95% CI p value
Age 1.01 1.00–1.03 0.094

Others 1 1

 Lung cancer 1.72 1.19–2.51 0.004 1.58 1.05–2.41 0.030

 Pancreas-biliary cancer 0.61 0.37–0.99 0.050 0.54 0.30–0.95 0.040

 Breast cancer 1.94 1.01–3.62 0.040 1.74 0.84–3.54 0.130

 Urogenital cancer 0.79 0.38–1.52 0.500 0.53 0.24–1.12 0.110

Recent radiation therapy 1.70 1.19–2.41 0.003 1.48 0.98–2.22 0.060

ECOG performance status 2–4 1.43 1.03–1.99 0.033

SOFA score at ICU day 1 1.21 1.17–1.26 < 0.001 1.11 1.05–1.18 < 0.001

ICU admission from the general ward 1.95 1.44–2.64 < 0.001 1.30 0.91–1.84 0.150

Mechanical ventilation 14.7 8.09–30.1 < 0.001 6.74 3.33–15.21 < 0.001

Renal replacement therapy 3.60 2.60–5.00 < 0.001 2.49 1.61–3.86 < 0.001

ICU, intensive care unit; OR, odds ratio; CI, confidence interval; ECOG, Eastern cooperative oncology group; SOFA, Sequential Organ Failure Assessment

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