Survival and Predictors of Outcome in Acute Leukemia Patients Admitted to the Intensive Care Unit.

Blood ◽  
2005 ◽  
Vol 106 (11) ◽  
pp. 2778-2778
Author(s):  
Snehal G. Thakkar ◽  
Zachariah A. McIver ◽  
Sanjay R. Mohan ◽  
Giridharan Ramsingh ◽  
Anjali S. Advani ◽  
...  

Abstract Background: Patients with acute leukemia fare poorly when admitted to intensive care units (ICUs). Predictors of outcome and rates of successful discharge have not been defined in the United States. Methods: This is a retrospective analysis of 78 acute leukemia patients admitted to the medical ICU from 2001–2004. Patients were identified by ICD-9 codes and a sudden increase in daily hospital charges (indicating a direct ICU admission or transfer to the ICU from a medical floor). The primary endpoints were improvement and subsequent ICU discharge with continued aggressive leukemia management and survival to 2 months following hospital discharge. Secondary endpoints included 6 and 12 month survival. Univariate and multivariate logistic regression analyses were performed to identify factors predicting outcome. Results: Sixty-five patients were diagnosed with AML and 13 with ALL. Seven patients had good-risk cytogenetics, 32 intermediate, 30 poor and 9 unknown, as defined by CALGB 8461. Fever or infection (37.2%) was the leading cause of hospital admission. The mean age was 53 years, 85% were Caucasian and 51% were female. The median white blood cell (WBC) count was 6.9K. On average, patients were transferred to the ICU on hospital day 13. Of the 69 patients who received chemotherapy, 29 (42%) were in the induction phase and 40 (58%) in the consolidation or relapsed/refractory phase, with a mean chemotherapy day of 15. The most common reason for transfer to the ICU was respiratory compromise (68%) with sepsis (56%) second. Most patients transferred to the ICU had either 1 (47%) or 2 (45%) reasons for transfer. While in the ICU 57 patients required mechanical ventilation with 21 eventually extubated (19 improved; 2 withdrew care). Hemodynamic support (pressors) was used in 41 patients. The mean length of stay in the ICU was 7 days. The mean APACHE II score was 23 ± 7, predicting a mortality of 40%. Overall, 22 patients (28%) improved and 49 (63%) died in the ICU. Seven patients (9%) died after transfer out of the ICU. Two month survival following hospital discharge was 21%. At 6 and 12 months, 13% and 12% were alive, respectively. In univariate analysis, patients with lower APACHE II scores were more likely to improve in the ICU (p=0.002) and to live 2 months post-discharge (p=0.004) than those with higher scores; these findings remained significant in multivariate analysis. In univariate analysis, patients requiring hemodynamic support had lower 6 and 12 month survival than patients not requiring support (p=0.017 and 0.025); these findings remained significant in multivariate analysis (p=0.007 and 0.013). Multivariate analysis also showed that patients with poor risk cytogenetics had lower 6 and 12 month survival than patients with good or intermediate risk cytogenetics (p=0.026 and 0.05). Neither age, WBC, or treatment phase predicted outcome. Conclusion: Higher APACHE II score, use of pressors and adverse cytogenetics predicted for worse outcome. Increased age and presenting WBC did not. One out of five patients survived an ICU admission to be discharged from the hospital. Aggressive medical management is appropriate for patients with acute leukemia and should not be withheld even in patients with advanced age.

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Daichi Ishikawa ◽  
Yukako Takehara ◽  
Atsushi Takata ◽  
Kazuhito Takamura ◽  
Hirohiko Sato

Abstract Background “Dirty mass” is a specific computed tomography (CT) finding that is seen frequently in colorectal perforation. The prognostic significance of this finding for mortality is unclear. Methods Fifty-eight consecutive patients with colorectal perforation who underwent emergency surgery were retrospectively reviewed in the study. Dirty mass identified on multi-detector row CT (MDCT) was 3D-reconstructed and its volume was calculated using Ziostation software. Dirty mass volume and other clinical characteristics were compared between survivor (n = 45) and mortality groups (n = 13) to identify predictive factors for mortality. Mann–Whitney U test and Χ2 test were used in univariate analysis and logistic regression analysis was used in multivariate analysis. Results Dirty mass was identified in 36/58 patients (62.1%) and located next to perforated colorectum in all cases. Receiver-operating characteristic (ROC) curve analysis identified the highest peak at 96.3 cm3, with sensitivity of 0.643 and specificity of 0.864. Univariate analysis revealed dirty mass volume, acute disseminated intravascular coagulation (DIC) score, acute physiology and chronic health evaluation II (APACHE II) score, and sequential organ failure assessment (SOFA) score as prognostic markers for mortality (p<0.01). Multivariate analysis revealed dirty mass volume and APACHE II score as independent prognostic indicators for mortality. Mortality was stratified by dividing patients into four groups according to dirty mass volume and APACHE II score. Conclusions The combination of dirty mass volume and APACHE II score could stratify the postoperative mortality risk in patients with colorectal perforation. According to the risk stratification, surgeons might be able to decide the surgical procedures and intensity of postoperative management.


2021 ◽  
Author(s):  
Daichi Ishikawa ◽  
Yukako Takehara ◽  
Atsushi Takata ◽  
Kazuhito Takamura ◽  
Hirohiko Sato

Abstract Background: “Dirty mass” is a specific computed tomography (CT) finding that is seen frequently in colorectal perforation. The prognostic significance of this finding for mortality is unclear.Methods: Fifty-eight consecutive patients with colorectal perforation who underwent emergency surgery were retrospectively reviewed in the study. Dirty mass identified on multi-detector row CT (MDCT) was 3D-reconstructed and its volume was calculated using Ziostation software. Dirty mass volume and other clinical characteristics were compared between survivor (n = 45) and mortality groups (n = 13) to identify predictive factors for mortality. Mann–Whitney U test and Χ2 test were used in univariate analysis and logistic regression analysis was used in multivariate analysis.Results: Dirty mass was identified in 36/58 patients (62.1%) and located next to perforated colorectum in all cases. Receiver-operating characteristic (ROC) curve analysis identified the highest peak at 96.3 cm3, with sensitivity of 0.643 and specificity of 0.864. Univariate analysis revealed dirty mass volume, acute disseminated intravascular coagulation (DIC) score, acute physiology and chronic health evaluation II (APACHE II) score, and sequential organ failure assessment (SOFA) score as prognostic markers for mortality (p<0.01). Multivariate analysis revealed dirty mass volume and APACHE II score as independent prognostic indicators for mortality. Mortality was stratified by dividing patients into four groups according to dirty mass volume and APACHE II score. Conclusions: The combination of dirty mass volume and APACHE II score could stratify the postoperative mortality risk in patients with colorectal perforation. According to the risk stratification, surgeons might be able to decide the surgical procedures and intensity of postoperative management.


Author(s):  
Fatma İrem Yeşiler ◽  
Mesher Çapras ◽  
Emre Kandemir ◽  
Helin Şahintürk ◽  
Ender Gedik ◽  
...  

The decrease in social distance together with the normalization period as of June 1, 2020 in our country caused an increase in the number of COVID 19 patients. Our aim was to compare the demographic features, clinical courses and outcomes of confirmed and probable coronavirus disease 2019 (COVID-19) patients admitted to our intensive care unit (ICU) during the normalization period. Critically ill 128 COVID-19 patients between June 1 - December 2, 2020 were analyzed retrospectively. The mean age was 69.7±15.5y (61.7% male). Sixty-one patients (47.7%) were confirmed. Dyspnea (75.0%) was the most common symptom and hypertension (71.1%) was the most common comorbidity. The mean Acute Physiology and Chronic Health Evaluation System (APACHE II) score; Glasgow Coma Score (GCS); Sequential Organ Failure Assessment (SOFA) scores on ICU admission were 17.4 ± 8.2, 12.3 ± 3.9 and 5.9 ± 3.4, respectively. 101 patients (78.1%) received low flow oxygen, 48 had high flow oxygen therapy (37.5%) and 59 (46.1%) had invasive mechanical ventilation. 53 patients (41.4%) had vasopressor therapy and 30 (23.4%) patients had renal replacement therapy (RRT) due to acute kidney injury (AKI). Confirmed patients were more tachypneic (p=0.005) and more hypoxemic than probable patients (p<0.001). Acute respiratory distress syndrome (ARDS) and AKI were more common in confirmed patients than probable (both p<0.001). Confirmed patients had higher values of hemoglobin, C- reactive protein, fibrinogen, D-dimer than probables (respectively, p=0.028, 0.006, 0.000, 0.019). The overall mortality was higher in confirmed patients (p=0.209, 52.6% vs 47.4%). Complications are more common among confirmed COVID-19 patients admitted to ICU. The mortality rate of confirmed COVID-19 patients admitted to the ICU was found to be higher than probable patients. Mortality of confirmed cases were higher than prediction of APACHE-II scoring system.


2010 ◽  
Vol 18 (3) ◽  
pp. 317-323 ◽  
Author(s):  
Eliane Regina Ferreira Sernache de Freitas

This study aimed to understand the profile and severity of patients in physiotherapy treatment after their admission to the intensive care unit (ICU) by applying the APACHE II index. One hundred and forty six subjects, with a mean age of 60.5 ± 19.2 years, were evaluated. The APACHE II index was applied in the first 24 hours to evaluate the severity and mortality risk score. Patients were monitored until hospital discharge or death. The mean APACHE II score was 20±7.3 with an estimated risk of death of 32.4% and observed mortality of 58.2%. The mean hospital stay was 27.8±25.2 days. The patients in physiotherapy at the institution studied were predominantly male, elderly, from the emergency service for treatment (non-surgical), and had clear severity, suggested by the APACHE II score and the observed mortality.


2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Tongjuan Zou ◽  
Wanhong Yin ◽  
Yi Li ◽  
Lijing Deng ◽  
Ran Zhou ◽  
...  

Background. Shock is one of the causes of mortality in the intensive care unit (ICU). Traditionally, hemodynamics related to shock have been monitored by broad-spectrum devices with treatment guided by many inaccurate variables to describe the pathophysiological changes. Critical care ultrasound (CCUS) has been widely advocated as a preferred tool to monitor shock patients. The purpose of this study was to analyze and broaden current knowledge of the characteristics of ultrasonic hemodynamic pattern and investigate their relationship to outcome. Methods. This prospective study of shock patients in CCUS was conducted in 181 adult patients between April 2016 and June 2017 in the Department of Intensive Care Unit of West China Hospital. CCUS was performed within the initial 6 hours after shock patients were enrolled. The demographic and clinical characteristics, ultrasonic pattern of hemodynamics, and outcome were recorded. A stepwise bivariate logistic regression model was established to identify the correlation between ultrasonic variables and the 28-day mortality. Results. A total of 181 patients with shock were included in our study (male/female: 113/68). The mean age was 58.2±18.0 years; the mean Acute Physiology and Chronic Health Evaluation II (APACHE II score) was 23.7±8.7, and the 28-day mortality was 44.8% (81/181). The details of ultrasonic pattern were well represented, and the multivariate analysis revealed that mitral annular plane systolic excursion (MAPSE), mitral annular peak systolic velocity (S′-MV), tricuspid annular plane systolic excursion (TAPSE), and lung ultrasound score (LUSS) were the independent risk factors for 28-day mortality in our study, as well as APACHE II score, PaO2/FiO2, and lactate (p=0.047, 0.041, 0.022, 0.002, 0.027, 0.028, and 0.01, respectively). Conclusions. CCUS exam on admission provided valuable information to describe the pathophysiological changes of shock patients and the mechanism of shock. Several critical variables obtained by CCUS were related to outcome, hence deserving more attention in clinical decision-making. Trial Registration. The study was approved by the Ethics Committee of West China Hospital Review Board for human research with the following reference number 201736 and was registered on ClinicalTrials. This trial is registered with NCT03082326 on 3 March 2017 (retrospectively registered).


2021 ◽  
Author(s):  
Mª Luisa Bordeje Laguna ◽  
Pilar Marcos-Neira ◽  
Itziar Martínez de Lagrán Zurbano ◽  
Esther Mor Marco ◽  
Carlos Pollan Guisasola ◽  
...  

Abstract BACKGROUND. Severe SARS-CoV-2 pneumonia has brought intensive care units (ICUs) and the consequences of prolonged hospitalisation, such as dysphagia, into focus.METHODS. Study population: Patients with severe pneumonia due to SARS-CoV-2 who required admission to critical units from March to June 2020. Dysphagia diagnostic method: Modified Viscosity Volume Swallowing Test (mV-VST). Objectives. To identify risk factors for dysphagia in patients with severe SARS-CoV-2 pneumonia requiring invasive mechanical ventilation and determine their incidence. Statistical analysis: Descriptive analysis of means or medians according to the normality of quantitative variables and proportions for the descriptive variables (95% CI). Univariate analysis of dysphagia using simple logistic regression. Multivariate analysis and construction of a predictive model for dysphagia using logistic regression.RESULTS. Descriptive analysis. Sample size: 232 patients; 72% (167) required intubation. Of these, 65.9% (110) survived and 84.5% (93) underwent the mV-VST, which diagnosed 26.9% (25) with dysphagia. Age: 60.5 years (95% CI: 58.5 to 61.9). Men: 74.1% (95% CI: 68.1 to 79.4). APACHE II score: 17.7 (95% CI: 13.3 to 23.2). Mechanical ventilation: 14 days (95% CI: 11 to 16); prone position: 79% (95% CI: 72.1 to 84.6); respiratory infection: 34.5% (95% CI: 28.6 to 40.9). Renal failure: 38.5% (95% CI: 30 to 50). Overall mortality: 25.9% (95% CI: 20.6 to 31.9). Mortality in intubated patients: 34.1% (95% CI: 27.3 to 41.7). No patient diagnosed with dysphagia died. Univariate analysis. APACHE II, prone position, days of mechanical ventilation and need for tracheostomy, respiratory infection, kidney failure developed during admission and length of ICU and hospital stay were significantly associated (p<0.05) with dysphagia. Multivariate analysis. Dysphagia is independently explained by APACHE II score (OR: 1.1; 95% CI: 1.01 to 1.3; p=0.04) and tracheostomy (OR: 10.2; 95% CI: 3.2 to 32.1; p<0.001). The resulting predictive model predicts dysphagia with a good ROC curve (AUC: 0.8; 95% CI: 0.7 to 0.9)CONCLUSIONS. Dysphagia affects almost one-third of patients, and the risk of developing dysphagia increases with prolonged mechanical ventilation, tracheostomy and greater severity on admission (APACHE II score).


2020 ◽  
Author(s):  
Ismail Necati Hakyemez ◽  
Turan Aslan ◽  
Bulent Durdu

Abstract Background: This study was performed to investigate the combination of serum C-reactive protein (CRP) and procalcitonin (PCT) kinetics as a best marker in predicting mortality in patients with nosocomial blood stream infection (BSI).Methods: We retrospectively reviewed the medical records of patients ≥ 18 years of age with nosocomial BSIs hospitalized in intensive care units during the period from January 2016 to June 2018. Eighty-four patients who met the inclusion criteria were included in the study. Clinical, microbiological and biochemical data were compared in patients who survivors and deaths. Binary logistic regression analyses (backward LR) were used to identify independent risk factors. A receiver operating characteristic (ROC) curve analysis was performed to compare the predictive accuracy. The kinetic changes were expressed as Δ (delta) and defined the as difference between level on day 5 and level at day 1 of BSI.Results: Of the 84 included patients, 46 (58.4%) had survivors and 35 (41.6%) had deaths. In univariate analysis, renal disease (p = 0.007), cardiac disease (p = 0.042), septic shock (p = <0.001), maximum SOFA (p = <0.001) and APACHE-II (p <0.001), ΔCRP (p = 0.004), ΔPCT (p = <0.001), and ΔPCR (p = 0.025) were significantly higher in non-survivors than in survivors. In the logistic regression analysis, APACHE-II score (odds ratio (OR) = 1.46, 95% confidence interval (CI) = 1.20-1.78, p <0.001), ΔCRP (OR = 1.18, %95 CI =1.04-1.34, p = 0.009), ΔPCT (OR = 0.87, 95% CI = 0.79-0.95, p = 0.001), and ∆PCR (OR = 36.78, 95% CI = 4.52-299.01, p = 0.001) were independent predictors of 28-day mortality. After a ROC analysis, the AUC of ∆PCR was higher than that of ∆PCT for mortality in ICU patients (0.745 vs. 0.712, p <0.001).Conclusions: The PCR kinetic was a strong independent predictor of mortality in patients with nosocomial BSIs in intensive care units. Especially in patients with CRP and PCT tested together, it is expected to be a fast and rational tool for clinical practice.


2020 ◽  
Author(s):  
Daichi Ishikawa ◽  
Yukako Takehara ◽  
Atsushi Takata ◽  
Kazuhito Takamura ◽  
Hirohiko Sato

Abstract Background: “Dirty mass” is a specific computed tomography (CT) finding that is seen frequently in colorectal perforation. The prognostic significance of this finding for mortality is unclear. Methods: Fifty-eight consecutive patients with colorectal perforation who underwent emergency surgery were included in the study. Dirty mass identified on multi-detector row CT (MDCT) was 3D-reconstructed and its volume was calculated using Ziostation software. Dirty mass volume and other clinical characteristics were compared between survivor (n = 45) and mortality groups (n = 13) to identify predictive factors for mortality. Mann–Whitney U test and Χ2 test were used in univariate analysis and logistic regression analysis was used in multivariate analysis. Results: Dirty mass was identified in 36/58 patients (62.1%) and located next to perforated colorectum in all cases. Receiver-operating characteristic (ROC) curve analysis identified the highest peak at 96.3 cm3, with sensitivity of 0.643 and specificity of 0.864. Univariate analysis revealed dirty mass volume, acute disseminated intravascular coagulation (DIC) score, acute physiology and chronic health evaluation II (APACHE II) score, and sequential organ failure assessment (SOFA) score as prognostic markers for mortality (p<0.01). Multivariate analysis revealed dirty mass volume and APACHE II score as independent prognostic indicators for mortality. Mortality was stratified by dividing patients into four groups according to dirty mass volume and APACHE II score. Conclusions: The combination of dirty mass volume and APACHE II score could stratify the postoperative mortality risk in patients with colorectal perforation. According to the risk stratification, surgeons might be able to decide the surgical procedures and intensity of postoperative management.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yan Luo ◽  
Zhiyu Wang ◽  
Cong Wang

Abstract Background Prognostication is an essential tool for risk adjustment and decision making in the intensive care units (ICUs). In order to improve patient outcomes, we have been trying to develop a more effective model than Acute Physiology and Chronic Health Evaluation (APACHE) II to measure the severity of the patients in ICUs. The aim of the present study was to provide a mortality prediction model for ICUs patients, and to assess its performance relative to prediction based on the APACHE II scoring system. Methods We used the Medical Information Mart for Intensive Care version III (MIMIC-III) database to build our model. After comparing the APACHE II with 6 typical machine learning (ML) methods, the best performing model was screened for external validation on anther independent dataset. Performance measures were calculated using cross-validation to avoid making biased assessments. The primary outcome was hospital mortality. Finally, we used TreeSHAP algorithm to explain the variable relationships in the extreme gradient boosting algorithm (XGBoost) model. Results We picked out 14 variables with 24,777 cases to form our basic data set. When the variables were the same as those contained in the APACHE II, the accuracy of XGBoost (accuracy: 0.858) was higher than that of APACHE II (accuracy: 0.742) and other algorithms. In addition, it exhibited better calibration properties than other methods, the result in the area under the ROC curve (AUC: 0.76). we then expand the variable set by adding five new variables to improve the performance of our model. The accuracy, precision, recall, F1, and AUC of the XGBoost model increased, and were still higher than other models (0.866, 0.853, 0.870, 0.845, and 0.81, respectively). On the external validation dataset, the AUC was 0.79 and calibration properties were good. Conclusions As compared to conventional severity scores APACHE II, our XGBoost proposal offers improved performance for predicting hospital mortality in ICUs patients. Furthermore, the TreeSHAP can help to enhance the understanding of our model by providing detailed insights into the impact of different features on the disease risk. In sum, our model could help clinicians determine prognosis and improve patient outcomes.


2020 ◽  
Author(s):  
Bhavin B. Vasavada ◽  
Hardik Patel

ABSTRACTIntroductionThe aim of this study is to compare 90-day mortality and morbidity between open and laparoscopic surgeries performed in one centre since the introduction of ERAS protocols.Material and MethodsAll gastrointestinal surgeries performed between April 2016 and March 2019 at our institution after the introduction of ERAS protocols have been analysed for morbidity and mortality. The analysis was performed in a retrospective manner using data from our prospectively maintained database.ResultsWe performed 245 gastrointestinal and hepatobiliary surgeries between April 2016 and March 2019. The mean age of patients was 50.96 years. 135 were open surgeries and 110 were laparoscopic surgeries. The mean ASA score was 2.4, the mean operative time was 111 minutes and the mean CDC grade of surgery was 2.56. 40 were emergency surgeries and 205 were elective surgeries. Overall the 90-day mortality rate was 8.5% and the morbidity rate was around 9.79%. On univariate analysis morbidity was associated with a higher CDC grade of surgeries, a higher ASA grade, longer operating time, the use of more blood products, a longer hospital stay and open surgeries. HPB surgeries and luminal surgeries (non hpb gastrointestinal surgeries) were associated with 90 day post operative morbidity. On multivariate analysis no factors independently predicted morbidity. On univariate analysis 90-day mortality was predicted by the grade of surgeries, a higher ASA grade, longer operative time, the use of more blood products, open surgeries and emergency surgeries. However on multivariate analysis only the use of more blood products was independently associated with mortalityConclusionThe 90-day mortality and morbidity rates between open and laparoscopic surgeries after the introduction of ERAS protocol were similar.


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