Prognostic and risk factor analysis of cancer patients after unplanned ICU admission: a real-world multicenter study.

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.

Effects of carrimycin on biomarkers of inflammation and immune function in tumor patients with sepsis: A multicenter double-blind randomized controlled trial.

Carrimycin is a potential immune-regulating agent for sepsis in patients with tumors. In this study, we investigated its effects on inflammation and immune function in tumor patients with sepsis. In total, 120 participants were randomized to receive either carrimycin treatment (400 mg/day) (n = 62) or placebo (n = 58) for 7 days. The primary outcomes were immune-related indicators. Subsequently, patients were stratified into two subgroups (CD4 < 38.25% and CD8 < 25.195%). Ninety-nine participants were analyzed: 47 and 52 in the carrimycin and placebo groups, respectively. HLA-DR levels were rapidly increased in the carrimycin group; however, the placebo group initially experienced a decline in HLA-DR level at 1 day after administration. In the subgroup with CD4 < 38.25%, the carrimycin group exhibited significantly higher HLA-DR levels than the placebo group (2.270, P = 0.023) 1 day after administration and the degree of increase in HLA-DR in the carrimycin group was higher than that in the placebo group (2.057, P = 0.040). In the CD8 < 25.195% subgroup, the carrimycin group demonstrated significantly higher levels of CD8+ T cells than the placebo group at 3 (2.300,P = 0.027) and 5 (2.106, P = 0.035) days after administration. Carrimycin intervention led to significant reductions in the SOFA, APACHE II, PCT, and CRP levels. No adverse events were observed. In tumor patients with sepsis, particularly in those experiencing immunological suppression, carrimycin effectively regulates immune responses by increasing HLA-DR and CD8+ T cell levels and plays an anti-infective role, reducing disease severity. (Chictr.org.cn, ID Number: ChiCTR2000032339).

Expert Consensus on Acute Respiratory Failure in Critically Ill Cancer Patients (2023).

Objective This consensus aims to provide evidence-based recommendations on common questions in the diagnosis and treatment of acute respiratory failure (ARF) for critically ill cancer patients.Methods We developed six clinical questions using the PICO (Population, Intervention, Comparison, and Outcome) principle in diagnosis and treatment for critical ill cancer patients with ARF. Based on literature searching and meta-analyses, recommendations were devised. The GRADE (Grading of Recommendation Assessment, Development and Evaluation) method was applied to each question to reach consensus in the expert panel. Results The panel makes strong recommendations in favor of (1) metagenomic next-generation sequencing (mNGS) tests may aid clinicians in rapid diagnosis in critically ill cancer patients suspected of pulmonary infections; (2) extracorporeal membrane oxygenation (ECMO) therapy should not be used as a routine rescue therapy for acute respiratory distress syndrome in critically ill cancer patients but may benefit highly selected patients after multi-disciplinary consultations; (3) cancer patients who have received immune checkpoint inhibitor therapy have an increased incidence of pneumonitis compared with standard chemotherapy; (4) critically ill cancer patients who are on invasive mechanical ventilation and estimated to be extubated after 14 days may benefit from early tracheotomy; and (5) high-flow nasal oxygen and noninvasive ventilation therapy can be used as a first-line oxygen strategy for critically ill cancer patients with ARFs. A weak recommendation is: (6) for critically ill cancer patients with ARF caused by tumor compression, urgent chemotherapy may be considered as a rescue therapy only in patients determined to be potentially sensitive to the anticancer therapy after multidisciplinary consultations. Conclusions The recommendations based on the available evidence can guide diagnosis and treatment in critically ill cancer patients with acute respiratory failure and improve outcomes.

A nomogram for predicting hospital mortality of critical ill patients with sepsis and cancer: a retrospective cohort study based on MIMIC-IV and eICU-CRD.

OBJECTIVE: Sepsis remains a high cause of death, particularly in immunocompromised patients with cancer. The study was to develop a model to predict hospital mortality of septic patients with cancer in intensive care unit (ICU). DESIGN: Retrospective observational study. SETTING: Medical Information Mart for Intensive Care IV (MIMIC IV) and eICU Collaborative Research Database (eICU-CRD). PARTICIPANTS: A total of 3796 patients in MIMIC IV and 549 patients in eICU-CRD were included. PRIMARY OUTCOME MEASURES: The model was developed based on MIMIC IV. The internal validation and external validation were based on MIMIC IV and eICU-CRD, respectively. Candidate factors were processed with the least absolute shrinkage and selection operator regression and cross-validation. Hospital mortality was predicted by the multivariable logistical regression and visualised by the nomogram. The model was assessed by the area under the curve (AUC), calibration curve and decision curve analysis curve. RESULTS: The model exhibited favourable discrimination (AUC: 0.726 (95% CI: 0.709 to 0.744) and 0.756 (95% CI: 0.712 to 0.801)) in the internal and external validation sets, respectively, and better calibration capacity than Acute Physiology and Chronic Health Evaluation IV in external validation. CONCLUSIONS: Despite that the predicted model was based on a retrospective study, it may also be helpful to predict the hospital morality of patients with solid cancer and sepsis.

Short- and medium-term survival of critically ill patients with solid cancer admitted to the intensive care unit.

BACKGROUND: A great increase in the number of patients needs critical care to the intensive care unit (ICU) due to improvements in oncology. The aim of the study was to explore risk factors affecting survival of critically ill patients with solid cancers in ICU. METHODS: The study retrospectively reviewed patients between 2001 and 2012, which were collected by Medical Information Mart for Intensive Care III (MIMIC-III) from the Beth Israel Deaconess Medical Center in Boston, MA, USA. RESULTS: A total of 38,508 adult patients, who were admitted to ICUs and 8,308 (21.6%) were diagnosed as an underlying malignancy; 1,671 and 3,165 adult patients with sold cancer were admitted to surgical ICU (SICU) and medical ICU (MICU), respectively. Patients in SICU had a higher survival rate at the point of 28-, 90-day, and 1-, 3-year than patients in MICU (P<0.001 for all). Multivariate analysis demonstrated that age ≥70, emergency admission, the presence of metastases, Oxford Acute Severity of Illness Score (OASIS) ≥30 and sepsis were independent risk factors affecting 28-day survival in SICU. In MICU, emergency admission, metastatic disease, Sequential Organ Failure Assessment (SOFA) ≥3, Simplified Acute Physiology Score II (SAPS II) ≥39, Acute Physiology Score III (APS III) ≥40, Oxford Acute Severity of Illness Score (OASIS) ≥30, Elixhauser comorbidity index ≥9 and sepsis were independent risk factors for 28-day survival rate. The area under curve (AUC) of the OASIS for predicting ICU mortality was 0.824 [95% confidence interval (CI): 0.805-0.842], which was obviously higher than other scores in SICU. The AUC of the SAPS II for predicting ICU mortality was 0.820 (95% CI: 0.806-0.833), which was slightly higher than other scores in MICU. CONCLUSIONS: Patients with cancer in SICU have longer survival time than patients with cancer in MICU. The prediction of prognosis of critically ill cancer patients can guide treatment and optimize medical resources.

The effect of the underlying malignancy on short- and medium-term survival of critically ill patients admitted to the intensive care unit: a retrospective analysis based on propensity score matching.

BACKGROUND: Advances in oncology led to a substantial increase in the number of patients requiring admission to the ICU. It is significant to confirm which cancer critical patients can benefit from the ICU care like noncancer patients. METHODS: An observational retrospective cohort study using intensive care unit (ICU) admissions of Medical Information Mart for Intensive Care III from the Beth Israel Deaconess Medical Center in Boston, MA, USA between 2001 and 2012 was conducted. Propensity score matching was used to reduce the imbalance between two matched cohorts. ICU patients with cancer were compared with those without cancer in terms of patients' characteristics and survival. RESULTS: There were 38,508 adult patients admitted to ICUs during the period. The median age was 65 years (IQR, 52-77) and 8308 (21.6%) had an underlying malignancy diagnosis. The noncancer group had a significant survive advantage at the point of 28-day, 90-day, 365-day and 1095-day after ICU admission compared with cancer group (P < 0.001 for all) after PSM. Subgroup analysis showed that the diagnosis of malignancy didn't decrease 28-day and 90-day survive when patients' age ≥ 65-year, patients in surgical intensive care unit or cardiac surgery recovery unit or traumatic surgical intensive care unit, elective admissions, patients with renal replacement therapy or vasopressor support (P > 0.05 for all). CONCLUSIONS: Malignancy is a common diagnosis among ICU patients. Patients without cancer have a survive advantage compared with patients with cancer in the short- and medium-term. However, in selected groups, cancer critical patients can benefit from the ICU care service like noncancer patients in the short-term.

Efficient antiglioblastoma therapy in mice through doxorubicin-loaded nanomicelles modified using a novel brain-targeted RVG-15 peptide.

Glioblastoma (GBM) is an aggressive malignancy and therapeutic options are limited due to the presence of the blood-brain barrier (BBB). RVG-29, a 29-amino-acid polypeptide derived from the rabies virus glycoprotein (RVG), has excellent brain-targeted capacity across the BBB. We reduced the size of this peptide to get a15-amino-acid polypeptide (RVG-15), while retaining its brain-targeted capacity across the BBB. First, we synthesized a novel nanocarrier RVG-15-PEG2000-DSPE. Next, DOX-loaded polymeric micelles (DOX RVG-15-PMs) were prepared in an electrostatic interaction-dependent manner. Finally, we evaluated its antitumor benefits in vitro at the cellular level and in vivo using an in situ tumour-bearing mouse model. MALDI-TOF-MS and FTIR spectra confirmed the successful synthesis of the novel nanocarrier. The prepared DOX RVG-15-PMs displayed even size distribution, a high entrapment efficiency and satisfactory in vitro release behaviour. In vitro blank RVG-15-PMs were excellent, safe and highly biocompatible as drug delivery carriers. DOX-loaded micelles were easily taken up by C6 cells and could effectively inhibit cancer development and metastasis. In vivo, DOX RVG-15-PMs delayed weight loss, prevented cancer cell metastasis and accelerated cancer cell apoptosis in tumour-bearing mice. Our novel brain-targeted nanocarrier is highly feasible, while DOX RVG-15-PMs exert significant antiglioma effects, both in vitro and in vivo.

A randomized controlled trial comparing the efficacy of tigecycline versus meropenem in the treatment of postoperative complicated intra-abdominal infections.

BACKGROUND: The efficacy and safety of tigecycline in the treatment of complicated intra-abdominal infections (cIAIs) is potentially controversial. Here we conducted the non-inferiority study to assess the efficacy and safety of tigecycline versus meropenem in the treatment of postoperative cIAIs. METHODS: Data of abdominal tumor surgery patients with postoperative cIAIs admitted to intensive care unit (ICU) between October 2017 and December 2019 were collected. A prospective, randomized controlled trial was conducted in which 56 eligible patients with cIAIs randomly received intravenous tigecycline or meropenem for 3 to 14 days. Patients and clinicians were not blinded to the group allocation. RESULTS: The total of 56 patients were enrolled, which were divided into 2 groups, one group included 30 patients receiving meropenem and another group included 26 receiving tigecycline therapy. The 2 groups were similar at demographic and baseline clinical characteristics. Microorganisms were isolated from 46 of 56 patients (82.14%), with a total of 107 pathogens were cultured in two groups. The two groups had similar distribution of infecting microorganisms. The primary end point was the clinical response at the end-oftherapy (EOT) visit and upon discharge visit and comprehensive efficacy. The clinical success rates were 83.33%, 76.67% for meropenem versus 76.92%, 88.46% for tigecycline at the EOT visit and upon discharge visit (P>0.05), respectively. Comprehensive efficacy did not significantly differ between two groups either. There were no significant differences in 30-day and 60-day all-cause mortality between two groups (P>0.05). The univariable analysis identified that serum albumin at admission ICU, colorectal cancer on oncology type, postoperative abdominal bleeding were the risk factors for 60-day all-cause mortality. The multivariable analysis showed that postoperative abdominal bleeding were independent predictors of 60-day all-cause mortality. Gastrointestinal disorders and antibacterials-induced Fungal Infection were the most frequently reported adverse events (AEs). The incidence of AEs was similar between meropenem and tigecycline groups (P>0.05). CONCLUSIONS: Taken together, the study demonstrated that tigecycline is as effective and safe as meropenem for postoperative cIAIs in abdominal tumors patients. Tigecycline is non-inferior to meropenem.

Improving anti-tumor outcomes for colorectal cancer therapy through in situ thermosensitive gel loading harmine.

Colorectal cancer is a common malignant tumor that seriously endangers human health. Harmine (HM), a natural product, has been shown to have a significant inhibitory effect on various cancers. However, systemic injection of HM can cause central nervous toxicity, which limits its clinical application. Local administration of HM overcomes this problem to a certain extent. In this study, we prepared an in situ thermosensitive HM gel preparation (HM gel), and used it to treat colon cancer with reduced toxic side effects and prolonged residence time of HM at the tumor site. We employed a central composite design and response surface methodology to optimize the formulation, and evaluated the physicochemical properties, rectal retention capacity, and in vitro and in vivo antitumor effects of HM gel on colon 26 tumor cells. The results showed that HM gel had a significant inhibitory effect on the growth of colon 26 cells in vitro. In an orthotopic tumor-bearing mouse model, HM gel exhibited an obvious inhibitory effect on tumor growth and metastasis, and significantly prolonged the survival period. In conclusion, HM gel exhibited significant anti-tumor effects on colon cancer, and therefore presents a promising formulation for the treatment of colorectal cancer.

Neoadjuvant therapy does not adversely affect the short-term outcome of critically ill cancer patients who underwent surgery.

BACKGROUND: There were conflicting data regarding the effects of neoadjuvant therapy (NT) on the short-term outcomes of critically ill cancer patients. The aim of this study was to investigate whether NT adversely affect the short-term outcomes of critically ill cancer patients who underwent surgery. METHODS: This was a retrospective study which enrolled all critically ill cancer patients who admitted to intensive care unit (ICU) of Cancer Hospital of Chinese Academy of Medical Sciences and Peking Union Medical College between September 2017 and September 2018. Patients were divided into two groups: NT group and no NT (nNT) group. The primary outcome was ICU mortality rate. Propensity score analysis and Logistic regression analysis were used to investigate risk factors of ICU death. RESULTS: Hundred and twenty-eight patients received NT and 737 patients did not. The ICU mortality was higher in NT group than that in nNT group (3.9% vs. 1.4%, P=0.041) before propensity score matching analysis. After matching, there were no significant difference in ICU mortality between NT group and nNT group. Univariable logistic analysis demonstrated that a history of coronary heart disease (P=0.008), NT (P=0.041), unplanned admission to ICU (P<0.001), simplified acute physiology score (SAPS) 3 on ICU admission (P<0.001), sequential organ failure assessment (SOFA) on ICU admission (P<0.001), acute kidney injury (P<0.001), and mechanical ventilation (P<0.001) were predictive of ICU death in all 865 patients. Multivariable logistic regression analysis demonstrated that history of coronary heart disease (P=0.010; OR =9.614; 95% CI, 1.731-53.405), SAPS 3 on ICU admission (P=0.026; OR =1.070; 95% CI, 1.008-1.135) and SOFA on ICU admission (P=0.031; OR =1.289; 95% CI, 1.024-1.622) were independent risk factors of ICU death, while NT was not predictive of ICU death (P=0.118). CONCLUSIONS: NT was not a risk factor for ICU death in critically ill cancer patients who underwent surgery.

The 28-day survive for critically ill cancer patients undergoing continuous renal replacement with postoperative acute kidney injure: a retrospective study of 86 cases.

BACKGROUND: Advances in oncology led to a substantial increase in the number of patients requiring admission to the intensive care unit (ICU). It remains controversial to start continuous renal replacement therapy (CRRT) for acute kidney injure (AKI) in critically ill patients with cancer because of the poor outcome and high costs. METHODS: In this retrospective study, we collected data from patients with cancer with postoperative AKI-stage 3 [Kidney Disease: Improving Global Outcomes (KDIGO), 2012] undergoing CRRT in the ICU of Cancer Hospital, Chinese Academy of Medical Sciences from January 2010 to January 2019. Patients were followed up until the time of death or the point of 28-day after ICU admission. Univariate and multivariate analysis was performed to identify risk factors for 28-day survive. RESULTS: Of 8,030 cancer patients after surgical operation admitted by ICU, a total of 86 (1.1%) patients developed postoperative AKI: male/female: 62/24, median age 61 [27-82] years. The number of digestive tract/lung/other types of cancer was 59, 10 and 17, respectively. The median Simplified Acute Physiology Score III (SAPS III) was 65 [49-109] and the median Sequential Organ Failure Assessment (SOFA) score was 6 [1-19]. There were 35 deaths eventually and all the deaths occur within 28 days after ICU admission. Twenty-eight-day survive rate was 57.1%±5.8%. In multivariate cox regression analysis, two risk factors independently affected 28-day survive: SAPS III score ≥65 [hazard ratio (HR): 3.451 (1.272-9.365), P=0.015], the presence of shock at the start of CRRT [HR: 10.262 (2.210-47.660), P=0.003]. The cancer status (P=0.076), cancer types (P>0.05 for both) and neoadjuvant therapy associated with cancer (P=0.949) showed no effects on 28-day survive. CONCLUSIONS: For cancer patients, postoperative AKI-stage 3 is a serious complication with a low 28-day survive rate. Patients with the presence shock at the start of CRRT or SAPS III ≥65 will have a poor 28-day survive. It should be emphasized that the cancer characteristics (status, types or treatment) don't affect 28-day survive.

Preventable readmission to intensive care unit in critically ill cancer patients.

BACKGROUND: Readmission to intensive care unit (ICU) after discharge to ward has been reported to be associated with increased hospital mortality and longer length of stay (LOS). The objective of this study was to investigate whether ICU readmission are preventable in critically ill cancer patients. METHODS: Data of patients who readmitted to intensive care unit (ICU) at National Cancer Center/Cancer Hospital of Chinese Academy of Medical Sciences (CAMS) and Peking Union Medical College (PUMC) between January 2013 and November 2016 were retrospectively collected and reviewed. RESULTS: A total of 39 patients were included in the final analysis, and the overall readmission rate between 2013 and 2016 was 1.32% (39/2,961). Of 39 patients, 32 (82.1%) patients were judged as unpreventable and 7 (17.9%) patients were preventable. There were no significant differences in duration of mechanical ventilation, ICU LOS, hospital LOS, ICU mortality and in-hospital mortality between patients who were unpreventable and preventable. For 24 early readmission patients, 7 (29.2%) patients were preventable and 17 (70.8%) patients were unpreventable. Patients who were late readmission were all unpreventable. There was a trend that patients who were preventable had longer 1-year survival compared with patients who were unpreventable (100% vs. 66.8%, log rank=1.668, P=0.196). CONCLUSION: Most readmission patients were unpreventable, and all preventable readmissions occurred in early period after discharge to ward. There were no significant differences in short term outcomes and 1-year survival in critically ill cancer patients whose readmissions were preventable or not.

Prognosis of patients with Acinetobacter baumannii infection in the intensive care unit: A retrospective analysis.

The present retrospective study aimed to investigate the prognostic factors for critically ill patients with an Acinetobacter baumannii (A. baumannii) infection. A total of 37 patients from the intensive care unit (ICU) were enrolled in the study. Data was collected from patients, including age, gender, ethnicity, A. baumannii infection status, concurrent infection status, prescribed antibiotics, Acute Physiology and Chronic Health Evaluation II (APACHE II) and sepsis-related organ failure assessment (SOFA) scores, procalcitonin level, site of infection, shock, sepsis and renal replacement therapy status. Univariate and multivariate analyses were performed to determine the prognostic factors for mortality. In total, 8 out of the 37 patients included in this trial did not survive, resulting in an ICU mortality rate of 21.6%. Univariate analysis indicated that, in comparison with the survival group, APACHE II and SOFA scores were significantly higher in the mortality group (P<0.002 and P<0.001, respectively). A larger number of patients with septic shock were detected in the mortality group in comparison with the survival group (n=4 and n=3, respectively), whereas a larger number of patients were infected with multidrug-resistant A. baumannii (MDRAB) in the survival group in comparison with the mortality group (51.9 and 14.3%, respectively). However, the prognosis was not significantly influenced by antibiotics administered, mixed infection or the site of infection. Multivariate analysis demonstrated that the APACHE II score was the only independent factor affecting the disease prognosis. Receiver operating characteristic curve analysis of the APACHE II score demonstrated that the area under the curve was 0.845±0.078. In patients with an APACHE II score of 15, the sensitivity and specificity predictions for mortality were 87.5% and 72.4%, respectively. The APACHE II score at diagnosis was the only independent factor found to assist in the prognosis of mortality for patients in the ICU with an A. baumannii infection. In conclusion, the results of the present study demonstrated that the APACHE II score may contribute towards the prognostic evaluation of patients in the ICU with an A. baumannii infection.

The value of esophagectomy surgical apgar score (eSAS) in predicting the risk of major morbidity after open esophagectomy.

BACKGROUND: Recently, surgical apgar score (SAS) has been reported to be strongly associated with major morbidity after major abdominal surgery. The aim of this study was to assess the value of esophagectomy SAS (eSAS) in predicting the risk of major morbidity after open esophagectomy in a high volume cancer center. METHODS: The data of all patients who admitted to intensive care unit (ICU) after open esophagectomy at Cancer Hospital of Chinese Academy of Medical Sciences & Peking Union Medical College from September 2008 through August 2010 was retrospectively collected and reviewed. Preoperative and perioperative variables were recorded and compared. The eSAS was calculated as the sum of the points of EBL, lowest MAP and lowest HR for each patient. Patients were divided into high-risk (below the cutoff) and low-risk (above the cutoff) eSAS groups according to the cutoff score with optimal accuracy of eSAS for major morbidity. Univariable and multivariable regression analysis were used to define risk factors of the occurrence of major morbidity. RESULTS: Of 189 patients, 110 patients developed major morbidities (58.2%) and 30-day operative mortality was 5.8% (11/189). There were 156 high risk patients (eSAS ≤7) and 33 low risk (eSAS >7) patients. Univariable analysis demonstrated that forced expiratory volume in one second of predicted (FEV1%) ≤78% (44% vs. 61%, P=0.024), McKeown approach (22.7% vs. 7.6%, P=0.011), duration of operation longer than 230 minutes, intraoperative estimated blood loss (347±263 vs. 500±510 mL, P=0.015) and eSAS ≤7 (62.2% vs. 90.0%, P=0.001) were predictive of major morbidity. Multivariable analysis demonstrated that FEV1% ≤78% (OR, 2.493; 95% CI, 1.279-4.858, P=0.007) and eSAS ≤7 (OR, 2.810; 95% CI, 1.105-7.144; P=0.030) were independent predictors of major morbidity after esophagectomy. Compared with patients who had eSAS >7, patients who had eSAS ≤7 had longer hospital length of stay (25.39±14.36 vs. 32.22±22.66 days, P=0.030). However, there were no significant differences in ICU length of stay, duration of mechanical ventilation, ICU death, 30-day death rate and in-hospital death rate between high risk and low risk patients. CONCLUSIONS: The eSAS score is predictive of major morbidity, and lower eSAS is associated with longer hospital length of stay in esophageal cancer patients after open esophagectomy.

Assessment of a predictive score for pulmonary complications in cancer patients after esophagectomy.

BACKGROUND: Esophagectomy is a very important method for the treatment of resectable esophageal cancer, which carries a high rate of morbidity and mortality. This study was undertaken to assess the predictive score proposed by Ferguson et al for pulmonary complications after esophagectomy for patients with cancer. METHODS: The data of patients who admitted to the intensive care unit after transthoracic esophagectomy at Cancer Hospital of Chinese Academy of Medical Sciences and Peking Union Medical College between September 2008 and October 2010 were retrospectively reviewed. RESULTS: Two hundred and seventeen patients were analyzed and 129 (59.4%) of them had postoperative pulmonary complications. Risk scores varied from 0 to 12 in all patients. The risk scores of patients with postoperative pulmonary complications were higher than those of patients without postoperative pulmonary complications (7.27±2.50 vs. 6.82±2.67; P=0.203). There was no significant difference in the incidence of postoperative pulmonary complications as well as in the increase of risk scores (χ (2)=5.477, P=0.242). The area under the curve of predictive score was 0.539±0.040 (95%CI 0.461 to 0.618; P=0.324) in predicting the risk of pulmonary complications in patients after esophagectomy. CONCLUSION: In this study, the predictive power of the risk score proposed by Ferguson et al was poor in discriminating whether there were postoperative pulmonary complications after esophagectomy for cancer patients.

Correlation of fluid balance and postoperative pulmonary complications in patients after esophagectomy for cancer.

BACKGROUND: To investigate the association between fluid balance and postoperative pulmonary complications in patients after esophagectomy for cancer in a high volume cancer center. METHODS: Data of patients who admitted to intensive care unit (ICU) after esophagectomy at Cancer Hospital of Chinese Academy of Medical Sciences (CAMS) and Peking Union Medical College (PUMC) between September 2008 and October 2010 were retrospectively collected and reviewed. RESULTS: There were 85 males and 15 females. Among them, 39 patients developed postoperative pulmonary complications and hospital death was observed in 3 patients (3.0%). Univariable analysis showed that patients who developed postoperative pulmonary complications had more cumulative fluid balance in day 1 to 2 (2,669±1,315 vs. 3,815±1,353 mL, P<0.001; and 4,307±1,627 vs. 5,397±2,040 mL, P=0.014, respectively) compared with patients who did not have postoperative pulmonary complications. Multivariable regression analysis demonstrated that only more cumulative fluid balance in day 1 (P=0.008; OR =1.001; 95% CI, 1.000-1.002) was independent risk factor for postoperative pulmonary complications. CONCLUSIONS: Positive fluid balance in postoperative day 1 is predictive of pulmonary complications in patients after esophagectomy for cancer.

Performance of three prognostic models in patients with cancer in need of intensive care in a medical center in China.

OBJECTIVE: The aim of this study was to evaluate the performance of Acute Physiology and Chronic Health Evaluation II (APACHE II), Simplified Acute Physiology Score 3 (SAPS 3), and Acute Physiology and Chronic Health Evaluation IV (APACHE IV) in patients with cancer admitted to intensive care unit (ICU) in a single medical center in China. MATERIALS AND METHODS: This is a retrospective observational cohort study including nine hundred and eighty one consecutive patients over a 2-year period. RESULTS: The hospital mortality rate was 4.5%. When all 981 patients were evaluated, the area under the receiver operating characteristic curve (AUROC, 95% Confidential Intervals) of the three models in predicting hospital mortality were 0.948 (0.914-0.982), 0.863 (0.804-0.923), and 0.873 (0.813-0.934) for SAPS 3, APACHE II and APACHE IV respectively. The p values of Hosmer-Lemeshow statistics for the models were 0.759, 0.900 and 0.878 for SAPS 3, APACHE II and APACHE IV respectively. However, SAPS 3 and APACHE IV underestimated the in-hospital mortality with standardized mortality ratio (SMR) of 1.5 and 1.17 respectively, while APACHE II overestimated the in-hospital mortality with SMR of 0.72. Further analysis showed that discrimination power was better with SAPS 3 than with APACHE II and APACHE IV whether for emergency surgical and medical patients (AUROC of 0.912 vs 0.866 and 0.857) or for scheduled surgical patients (AUROC of 0.945 vs 0.834 and 0.851). Calibration was good for all models (all p > 0.05) whether for scheduled surgical patients or emergency surgical and medical patients. However, in terms of SMR, SAPS 3 was both accurate in predicting the in-hospital mortality for emergency surgical and medical patients and for scheduled surgical patients, while APACHE IV and APACHE II were not. CONCLUSION: In this cohort, we found that APACHE II, APACHE IV and SAPS 3 models had good discrimination and calibration ability in predicting in-hospital mortality of critically ill patients with cancer in need of intensive care. Of these three severity scores, SAPS 3 was superior to APACHE II and APACHE IV, whether in terms of discrimination and calibration power, or standardized mortality ratios.

Effect of sedation on short-term and long-term outcomes of critically ill patients with acute respiratory insufficiency.

BACKGROUND: The present study aimed to determine the short-term and long-term outcomes of critically ill patients with acute respiratory insufficiency who had received sedation or no sedation. METHODS: The data of 91 patients who had received mechanical ventilation in the first 24 hours between November 2008 and October 2009 were retrospectively analyzed. These patients were divided into two groups: a sedation group (n=28) and a non-sedation group (n=63). The patients were also grouped in two groups: deep sedation group and daily interruption and /or light sedation group. RESULTS: Overall, the 91 patients who had received ventilation ≥48 hours were analyzed. Multivariate analysis demonstrated two independent risk factors for in-hospital death: sequential organ failure assessment score (P=0.019, RR 1.355, 95%CI 1.051-1.747, B=0.304, SE=0.130, Wald=50483) and sedation (P=0.041, RR 5.015, 95%CI 1.072-23.459, B=1.612, SE=0.787, Wald=4.195). Compared with the patients who had received no sedation, those who had received sedation had a longer duration of ventilation, a longer stay in intensive care unit and hospital, and an increased in-hospital mortality rate. The Kaplan-Meier method showed that patients who had received sedation had a lower 60-month survival rate than those who had received no sedation (76.7% vs. 88.9%, Log-rank test=3.630, P=0.057). Compared with the patients who had received deep sedation, those who had received daily interruption or light sedation showed a decreased in-hospital mortality rate (57.1% vs. 9.5%, P=0.008). The 60-month survival of the patients who had received deep sedation was significantly lower than that of those who had daily interruption or light sedation (38.1% vs. 90.5%, Log-rank test=6.783, P=0.009). CONCLUSIONS: Sedation was associated with in-hospital death. The patients who had received sedation had a longer duration of ventilation, a longer stay in intensive care unit and in hospital, and an increased in-hospital mortality rate compared with the patients who did not receive sedation. Compared with daily interruption or light sedation, deep sedation increased the in-hospital mortality and decreased the 60-month survival for patients who had received sedation.