Outcome and Early Prognostic Indicators in Patients with Hematological Disorders Admitted to the Intensive Care Unit for a Life-Threatening Complication.

Blood ◽  
2005 ◽  
Vol 106 (11) ◽  
pp. 1329-1329
Author(s):  
Honar Cherif ◽  
Jan Hansen ◽  
Mats Kalin ◽  
Magnus Bjorkholm Prof
Keyword(s):  
Intensive Care ◽  
Respiratory Failure ◽  
Mortality Rate ◽  
Mortality Rates ◽  
Apache Ii ◽  
Prognostic Indicators ◽  
Apache Ii Score ◽  
Short Term ◽  
Hematological Diseases ◽  
Life Threatening

Abstract Background: Appropriately aggressive treatment of haematological malignancies can be complicated by a variety of life threatening events. Despite high hospital mortality rates for such patients admitted to intensive care units (ICU) it is now generally considered to be appropriate to offer intensive care to selected cases, provided there is a reasonable prospect of cure or at least worthwhile palliation. Aims and Methods: We conducted a retrospective observational study to assess outcome and prognostic indicators in consecutive patients with hematological diseases admitted to the ICU during a 6-year-period. Results: From 1996 through 2001, a total of 95 patients with hematological diseases and a median age of 57 years (range 16–86) were admitted to the ICU. The median duration of ICU stay was 1 day (mean 4.2 days: range 1–67 days). The Mean Acute Physiology and Chronic Health Evaluation II (APACHE II) score was 20 (± 9). The large majority of patients underwent active treatment of a hematological malignancy (90%) with acute leukaemia (27%), non-Hodgkin lymphoma (24%) and multiple myeloma (10%) dominating. Respiratory failure (46%), sepsis (24%), cardiovascular complications (9%) and bleeding disorders (7%) were the major reasons for ICU admission. A total of 49 patients (51%) had a microbiologically verified infection and 21 (22%) had bacteremia. Crude ICU, 4-week and 6-month mortality rates were 28%, 45%, and 57%, respectively. An APACHE II score > 30 predicted a high short-term mortality rate (p= 0.0001). However, age > 65 years, respiratory failure, bacteremia, and a diagnosis of acute leukemia were not significantly associated with a poor short-term survival (p> 0.05). A total of 30 patients (31%) were alive after a minimum follow up of 3.5 years. Conclusion: The lower mortality rate as compared with most other series is probably explained by a more liberal attitude towards ICU admission. Not withstanding this, for a substantial proportion of critically ill hematological patients a short time care at an ICU is life saving. Patients with life threatening complications of haematological disease should be offered intensive care unless or until it is clear that there is no prospect of recovery from the acute illness or that the underlying malignancy cannot be controlled.

scholarly journals Predictive Performance of two Measures of Prognostic Mortality of Cancer Patients in Intensive Care Unit in Jordan: A Comparative Single-Centre Study

2020 ◽  
Vol 14 (1) ◽  
pp. 168-173
Author(s):  
Issa M. Almansour ◽  
Mohammad K. Aldalaykeh ◽  
Zyad T. Saleh ◽  
Khalil M. Yousef ◽  
Mohammad M. Alnaeem
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Mortality Rate ◽  
Cancer Patients ◽  
Predictive Performance ◽  
Mortality Rates ◽  
Apache Ii ◽  
Apache Ii Score ◽  
Actual Mortality ◽  
Apache Iv

Background: Information is presently insufficient about using Acute Physiology and Chronic Health Evaluation (APACHE) mortality predicting models for cancer patients in intensive care unit (ICU). Objective: To evaluates the performance of APACHE II and IV in predicting mortality for cancer patients in ICU. Interventions/Methods: This was a retrospective study including adult patients admitted to an ICU in a medical center in Jordan. Actual mortality rate was determined and compared with mortality rates predicted by APACHE II and IV models. Receiver operating characteristic (ROC) analysis was used to assess the sensitivity, specificity and predictive performance of both scores. Binary logistic regression analysis was used to determine the effect that APACHE II, APACHE IV and other sample characteristics have on predicting mortality. Results: 251 patients (survived=80; none-survived=171) were included in the study with an actual mortality rate of 68.1%. APACHE II and APACHE IV scores demonstrated similar predicted mortality rates (43.3% vs. 43.0%), sensitivity (52.6% vs. 52.0%), and specificity (76.3%, 76.2%), respectively. The area under (AUC), the ROC curve for APACHE II score was 0.714 (95% confidence interval [CI] 0.645–0.783), and AUC for APACHE IV score was 0.665 (95% CI 0.595–0.734). Conclusions: As APACHE ӀӀ and ӀV mortality models demonstrate insufficient predicting performance, there is no need to consider APACHE IV in our ICU instead of using APACHE ӀӀ as it has more variables and need longer data extraction time. Implications for Practice: We suggest that other approaches in addition to the available models should be attempted to improve the accuracy of cancer prognosis in ICU. Further, it is also required to adjust the available models.

scholarly journals Analysis of the Incidence of Euthyroid Sick Syndrome in Comprehensive Intensive Care Units and Related Risk Factors

2021 ◽  
Vol 12 ◽  
Author(s):  
Jianying Guo ◽  
Yanyan Hong ◽  
Zhiyong Wang ◽  
Yukun Li
Keyword(s):  
Risk Factors ◽  
Intensive Care ◽  
Mortality Rate ◽  
Intensive Care Units ◽  
White Blood Cells ◽  
Apache Ii ◽  
Prognostic Indicators ◽  
Apache Ii Score ◽  
Euthyroid Sick Syndrome ◽  
The Relationship

ObjectiveA low concentration of plasma triiodothyronine (T3) indicates euthyroid sick syndrome (ESS), which could be associated with a poor outcome in patients in intensive care units (ICUs). This study evaluated the relationship between ESS and prognostic indicators in patients admitted to an ICU and examined the free T3 (FT3) cut-off points that could be associated with 28-day mortality.MethodsThis prospective observational study included patients admitted to the ICU of The Third Hospital of Hebei Medical University between February and November 2018. Baseline variables and data on the occurrence of low FT3 were collected. The patients were divided into ESS (FT3 < 3.28 pmol/L) and non-ESS groups. The relationship between ESS and prognostic indicators in patients admitted to the ICU was evaluated, and the FT3 cut-off points that could be associated with 28-day mortality were examined.ResultsOut of a total of 305 patients, 118 (38.7%) were in the ESS group. Levels of FT3 (P < 0.001) and FT4 (P = 0.001) were lower, while the 28-day mortality rate (P < 0.001) and hospitalization expenses in the ICU (P = 0.001) were higher in the ESS group. A univariable analysis identified ESS, FT3, free thyroxine (FT4)/FT3, the APACHE II score, the sequential organ failure (SOFA) score, the duration of mechanical ventilation, creatinine (CREA) levels, the oxygenation index (HGB), white blood cells, albumin (ALB) levels, age, and brain natriuretic peptide (BNP) levels as factors associated with 28-day mortality (all P < 0.05). The cut-off value of FT3 for 28-day mortality was 2.88 pmol/L, and the 28-day mortality rate and hospitalization expenses in the ICU were higher in patients with ESS. The syndrome was confirmed to be independently associated with 28-day mortality.ConclusionThis study determined the incidence of ESS in the comprehensive ICU to be 38.7%. APACHE II, SOFA, BNP, APTT, HGB, PLT, CREA, ALB, FT4, SBP, and DBP are closely related to ESS, while BNP, PLT, and ALB are independent risk factors for the syndrome.

Outcomes of Critically Ill Gynecological Cancer Patients Admitted to Intensive Care Unit

2012 ◽  
Vol 30 (1) ◽  
pp. 7-11 ◽  
Author(s):  
Silvio A. Ñamendys-Silva ◽  
María O. González-Herrera ◽  
Julia Texcocano-Becerra ◽  
Angel Herrera-Gómez
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Prognostic Factors ◽  
Mortality Rate ◽  
Hospital Mortality ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Gynecological Cancer ◽  
Apache Ii ◽  
Apache Ii Score

Purpose: To assess the characteristics of critically ill patients with gynecological cancer, and to evaluate their prognosis. Methods: Fifty-two critically ill patients with gynecological cancer admitted to intensive care unit (ICU) were included. Univariate and multivariate logistic regressions were used to identify factors associated with hospital mortality. Results: Thirty-five patients (67.3%) had carcinoma of the cervix uteri and 11 (21.2%) had ovarian cancer. The mortality rate in the ICU was 17.3% (9 of 52) and hospital mortality rate were 23%(12 of 52). In the multivariate analysis, independent prognostic factors for hospital mortality were vasopressor use (odds ratio [OR] = 8.60, 95% confidence interval [CI] 2.05-36; P = .03) and the Acute Physiology and Chronic Health Evaluation (APACHE) II score (OR = 1.43, 95% CI 1.01-2.09; P = .048). Conclusions: The independent prognostic factors for hospital mortality were the need for vasopressors and the APACHE II score.

scholarly journals Influence of time elapsed from end of emergency surgery until admission to intensive care unit, on Acute Physiology and Chronic Health Evaluation II (APACHE II) prediction and patient mortality rate

2005 ◽  
Vol 123 (4) ◽  
pp. 167-174 ◽  
Author(s):  
Paulo Antonio Chiavone ◽  
Samir Rasslan
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Mortality Rate ◽  
Length Of Stay ◽  
Hospital Mortality ◽  
Emergency Surgery ◽  
Apache Ii ◽  
Apache Ii Score ◽  
Death Risk ◽  
Expected Mortality

CONTEXT AND OBJECTIVE: Patients are often admitted to intensive care units with delay in relation to when this service was indicated. The objective was to verify whether this delay influences hospital mortality, length of stay in the unit and hospital, and APACHE II prediction. DESIGN AND SETTING: Prospective and accuracy study, in intensive care unit of Santa Casa de São Paulo, a tertiary university hospital. METHODS: We evaluated all 94 patients admitted following emergency surgery, from August 2002 to July 2003. The variables studied were APACHE II, death risk, length of stay in the unit and hospital, and hospital mortality rate. The patients were divided into two groups according to the time elapsed between end of surgery and admission to the unit: up to 12 hours and over 12 hours. RESULTS: The groups were similar regarding gender, age, diagnosis, APACHE II score and hospital stay. The death risk factors were age, APACHE II and elapsed time (p < 0.02). The mortality rate for the over 12-hour group was higher (54% versus 26.1%; p = 0.018). For the over 12-hour group, observed mortality was higher than expected mortality (p = 0.015). For the up to 12-hour group, observed and expected mortality were similar (p = 0.288). CONCLUSION: APACHE II foresaw the mortality rate among patients that arrived faster to the intensive care unit, while the mortality rate was higher among those patients whose admission to the intensive care unit took longer.

Acute Liver Failure

2016 ◽  
Vol 27 (4) ◽  
pp. 420-429 ◽  
Author(s):  
Ami Grek ◽  
Lisa Arasi
Keyword(s):  
Renal Failure ◽  
Critical Care ◽  
Respiratory Failure ◽  
Mortality Rate ◽  
Liver Failure ◽  
Acute Liver Failure ◽  
Mortality Rates ◽  
The Past ◽  
Organ Systems ◽  
Life Threatening

Acute liver failure, also known as fulminant hepatic failure, is a rare life-threatening disease that has a high mortality rate and affects many organ systems. Causes of acute liver failure vary—it can be attributed to drugs, viruses, and other uncommon sources. Complications of liver failure can include encephalopathy, cerebral edema, sepsis, renal failure, gastrointestinal bleeding, and respiratory failure. Fortunately, with advances in critical care medicine and emergent liver transplant, mortality rates have decreased in the past decade. This article reviews acute liver failure, its manifestations in different organ systems, and its treatment.

scholarly journals The comparison of apache II and apache IV score to predict mortality in intensive care unit in a tertiary care hospital

2019 ◽  
Vol 7 (5) ◽  
pp. 1598
Author(s):  
Vidya S. Nagar ◽  
Basavaraj Sajjan ◽  
Rudrarpan Chatterjee ◽  
Nitesh M. Parab
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Tertiary Care ◽  
Mortality Rates ◽  
Mortality Prediction ◽  
Apache Ii ◽  
Youden Index ◽  
Apache Ii Score ◽  
Care Hospital ◽  
Apache Iv

Background: The prognostication of critically ill patients, in a systematic way, based on definite objective data is an integral part of the quality of care in Intensive Care Unit (ICU). Acute physiology and chronic health evaluation (APACHE) scoring systems provide an objective means of mortality prediction in Intensive Care Unit (ICU). The aims of this study were to compare the performance of APACHE II and APACHE IV in predicting mortality in our intensive care unit (ICU).Methods: A prospective observational study was conducted in a 13 bedded intensive care unit (ICU) of a tertiary level teaching hospital. All the patients above the age of 12 years, irrespective of diagnosis managed in ICU for >24hours were enrolled. APACHE II and APACHE IV scores were calculated based on the worst values in the first 24hours of admission. All enrolled patients were followed up, and outcome was recorded as survivors or non survivors. Observed mortality rates were compared with predicted mortality rates for both the APACHE II and APACHE IV. Receiver operator characteristic curves (ROC) were used to compare accuracy of the two scores.Results: APACHE II score of the patients ranged from 1 to 32 and APACHE IV score of the patients ranged from 25 to 142. There was good correlation between APACHE II and APACHE IV scores with the spearman’s rho value of 0.776 (P<0.01). Discrimination for APACHE II and APACHE IV models were good with area under ROC curve of 0.805 and 0.832 respectively. APACHE IV was more accurate than APACHE II in this regard. The cut-off point with best Youden index for APACHE II was 17 and for APACHE IV were 72 respectively for predicting mortality.Conclusions: Discrimination was better for APACHE IV than APACHE II model however Calibration was better for APACHE II than APACHE IV model in present study. There was good correlation between the two models observed in present study.

scholarly journals Fungal Infections in COVID-19 Intensive Care Patients

2021 ◽  
Vol 70 (3) ◽  
pp. 395-400
Author(s):  
AYŞENUR SÜMER COŞKUN ◽  
ŞENAY ÖZTÜRK DURMAZ
Keyword(s):  
Risk Factors ◽  
Intensive Care ◽  
Mortality Rate ◽  
Opportunistic Infections ◽  
Fungal Infections ◽  
Tracheal Aspirate ◽  
Apache Ii ◽  
Apache Ii Score ◽  
Period Increase ◽  
Intensive Care Patients

Opportunistic fungal infections increase morbidity and mortality in COVID-19 patients monitored in intensive care units (ICU). As patients’ hospitalization days in the ICU and intubation period increase, opportunistic infections also increase, which prolongs hospital stay days and elevates costs. The study aimed to describe the profile of fungal infections and identify the risk factors associated with mortality in COVID-19 intensive care patients. The records of 627 patients hospitalized in ICU with the diagnosis of COVID-19 were investigated from electronic health records and hospitalization files. The demographic characteristics (age, gender), the number of ICU hospitalization days and mortality rates, APACHE II scores, accompanying diseases, antibiotic-steroid treatments taken during hospitalization, and microbiological results (blood, urine, tracheal aspirate samples) of the patients were recorded. Opportunistic fungal infection was detected in 32 patients (5.10%) of 627 patients monitored in ICU with a COVID-19 diagnosis. The average APACHE II score of the patients was 28 ± 6. While 25 of the patients (78.12%) died, seven (21.87%) were discharged from the ICU. Candida parapsilosis (43.7%) was the opportunistic fungal agent isolated from most blood samples taken from COVID-19 positive patients. The mortality rate of COVID-19 positive patients with candidemia was 80%. While two out of the three patients (66.6%) for whom fungi were grown from their tracheal aspirate died, one patient (33.3%) was transferred to the ward. Opportunistic fungal infections increase the mortality rate of COVID-19-positive patients. In addition to the risk factors that we cannot change, invasive procedures should be avoided, constant blood sugar regulation should be applied, and unnecessary antibiotics use should be avoided.

scholarly journals Impact of Body Mass Index on the Mortality of Critically Ill Patients Admitted to the Intensive Care Unit: An Observational Study

2020 ◽  
Author(s):  
Ata Mahmoodpoor ◽  
Fahimeh Karrubi ◽  
Mohammad-Salar Hosseini ◽  
Afshin Iranpour ◽  
Sarvin Sanaie
Keyword(s):  
Body Mass Index ◽  
Intensive Care Unit ◽  
Intensive Care ◽  
Waist Circumference ◽  
Mortality Rate ◽  
Body Mass ◽  
Apache Ii ◽  
Apache Ii Score ◽  
P Value ◽  
Surgical Trauma

Abstract Background: Obesity, a wide-ranging disorder all around the world, is associated with significant morbidity and mortality in the general population. Regarding the present controversies, this study aims to evaluate the possible association of body mass index (BMI) and mortality in patients admitted to intensive care units.Methods: During this cross-sectional study, all patients admitted to the intensive care unit of two university affiliated hospitals in northwest of Iran from November 2017 to March 2019 were enrolled. The demographic characteristics of patients, length of stay in the intensive care unit and hospital, organ failure, mortality, duration of mechanical ventilation and vasopressor-therapy, type of nutrition, the occurrence of nosocomial infection, type of admission (medical, surgical, trauma) were recorded for all patients. According to the WHO classification of BMI, patients were divided into the six groups, and the data were analyzed accordingly.Results: Of the 502 patients studied, 267 were male (53.2%) and 235 were female (46.8%). The highest mortality rate was observed among the obesity class II patients (35 < BMI < 40) with 28.6%, while the lowest rate was observed in the normal-weight patients (18.5 < BMI < 25) with 3.9%. The highest length of hospital stay was seen in patients with BMI > 30 with 12 days of hospitalizations. APACHE II and waist circumference had a statistically significant relationship with the mortality rate of patients (P-value < 0.001).Conclusion: The current study showed that BMI could be related to mortality, regardless of waist circumference and APACHE II score. However, considering waist circumference and APACHE II score as confounding factors, BMI does not have a significant effect on mortality and only affect the morbidity of patients.

scholarly journals Outcome of Community- Versus Hospital-Acquired Intra-Abdominal Infections in Intensive Care Unit: a Retrospective Study

2020 ◽  
Author(s):  
Timothée Abaziou ◽  
Fanny Vardon-Bounes ◽  
Jean-Marie Conil ◽  
Antoine Rouget ◽  
Stéphanie Ruiz ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Mortality Rate ◽  
Mortality Rates ◽  
Apache Ii Score ◽  
Abdominal Infection ◽  
Hospital Stays ◽  
Intra Abdominal Infection ◽  
Abdominal Infections ◽  
Hospital Acquired

Abstract BackgroundTo compare patients hospitalised in the intensive care unit (ICU) after surgery for community-acquired intra-abdominal infection (CA-IAI) and hospital-acquired intra-abdominal infection (HA-IAI) in terms of mortality, severity and complications.MethodsRetrospective study including all patients admitted to 2 ICUs within 48 hours of undergoing surgery for peritonitis.Results226 patients were enrolled during the study period. Patients with CA-IAI had an increased 28-day mortality rate compared to those with HA-IAI (30% vs 15%, respectively (p = 0.009)). At 90 days, the mortality rates were 36.7% and 37.5% in the CA-IAI group and HA_IAI group, respectively, with a similar APACHE II score on admission (median: 21 [15–25] vs. 21 [15–24] respectively, p = 0.63). The patients with HA-IAI had prolonged ICU and hospital stays (median: 17 [7–36] vs. 6[3–12] days, p < 0.001 and 41 [24–66] vs. 17 [7–32] days, p = 0.001), and experienced more complications (reoperation and reintubation) than those with CAP.ConclusionCA-IAI group had higher 28-day mortality rate than HA IAI group. Mortality was similar at 90 days but those with HAP had a prolonged ICU and hospital stay. In addition, they developed more complications.

scholarly journals Association of Vitamin D Status of Septic Patients in Intensive Care Units With Altered Procalcitonin Levels and Mortality

2015 ◽  
Vol 100 (2) ◽  
pp. 516-523 ◽  
Author(s):  
Zhaoyan Chen ◽  
Zuojie Luo ◽  
Xiaoqin Zhao ◽  
Qiang Chen ◽  
Jieyu Hu ◽  
...  
Keyword(s):  
Vitamin D ◽  
Intensive Care ◽  
Intensive Care Units ◽  
Mortality Rates ◽  
Apache Ii ◽  
Apache Ii Score ◽  
Intact Pth ◽  
Serum 25Ohd ◽  
Icu Admission ◽  
Fluid Load

Abstract Objective: The purpose of this study was to determine whether vitamin D levels correlate with procalcitonin (PCT) levels and mortality in septic patients. Methods: The following data were collected from 236 patients upon admission to intensive care units (ICUs): demographics; Acute Physiology and Chronic Health Evaluation (APACHE) II score; Sequential Organ Failure Assessment (SOFA) score; 25-hydroxyvitamin D (25OHD), PCT, intact PTH, albumin, creatinine, and ionized calcium (iCa) levels; 25OHD sampling seasonality; fluid load (colloid and crystalloid before 25OHD sampling); mechanical ventilation duration; and length of stay (LOS) in the ICU. The primary endpoint was all-cause mortality 28 days after ICU admission. Results: Patients with 25OHD deficiency had significantly higher APACHE II and SOFA scores, positive blood culture rates, PCT levels, intact PTH levels, and 28-day mortality rates. These patients also had lower iCa levels, longer LOS in the ICU, and longer ventilator durations than patients with 25OHD insufficiency or sufficiency. Age, sex, 25OHD sampling seasonality, serum albumin and creatinine levels, and fluid load did not vary among the 3 groups. Serum 25OHD levels at admission were significantly negatively correlated with PCT levels. PTH responders had significantly higher 28-day mortality rates than did PTH nonresponders. Cox regression showed that a 25OHD level of &lt;20 ng/mL was an independent risk factor for 28-day mortality. Conclusions: Lower serum 25OHD levels at ICU admission were associated with 28-day mortality in septic patients. Serum 25OHD levels were inversely correlated with PCT levels. Hypovitaminosis D was associated with higher mortality rates in PTH responders than in nonresponders.

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