Risk factors for ICU mortality in patients with hematological malignancies: a singlecenter, retrospective cohort study from Turkey.

BACKGROUND: Patients with hematological malignancies (HM) often require admission to the intensive care unit (ICU) due to organ failure, disease progression or treatment-related complications, and they generally have a poor prognosis. Therefore, understanding the factors affecting ICU mortality in HM patients is important. In this study, we aimed to identify the risk factors for ICU mortality in our critically ill HM patients. METHODS: We retrospectively reviewed the medical records of HM patients who were hospitalized in our medical ICU between January 1, 2010 and December 31, 2018. We recorded some parameters of these patients and compared these parameters by statistically between survivors and nonsurvivors to determine the risk factors for ICU mortality. RESULTS: The study included 368 critically ill HM patients who were admitted to our medical ICU during a 9-year period. The median age was 58 (49-67) years and 63.3% of the patients were male. Most of the patients (43.2%) had acute leukemia. Hematopoietic stem cell transplantation (HSCT) was performed in 153 (41.6%) patients. The ICU mortality rate was 51.4%. According to univariable analyses, a lot of parameters (e.g., admission APACHE II and SOFA scores, length of ICU stay, some laboratory parameters at the ICU admission, the reason for ICU admission, comorbidities, type of HM, type of HSCT, infections on ICU admission and during ICU stay, etc.) were significantly different between survivors and nonsurvivors. However, only high SOFA scores at ICU admission (OR:1.281, p = 0.004), presence of septic shock (OR:17.123, p = 0.0001), acute kidney injury (OR:48.284, p = 0.0001), and requirement of invasive mechanical ventilation support during ICU stay (OR:23.118, p = 0.0001) were independent risk factors for ICU mortality. DISCUSSION: In our cohort, critically ill HM patients had high ICU mortality. We found four independent predictors for ICU mortality. Yet, there is still a need for further research to better understand poor outcome predictors in critically ill HM patients.

Assessment of different computing methods of inspiratory transpulmonary pressure in patients with multiple mechanical problems.

While plateau airway pressure alone is an unreliable estimate of lung overdistension inspiratory transpulmonary pressure (PL) is an important parameter to reflect it in patients with ARDS and there is no concensus about which computation method should be used to calculate it. Recent studies suggest that different formulas may lead to different tidal volume and PEEP settings. The aim of this study is to compare 3 different inspiratory PL measurement method; direct measurement (PLD), elastance derived (PLE) and release derived (PLR) methods in patients with multiple mechanical abnormalities. 34 patients were included in this prospective observational study. Measurements were obtained during volume controlled mechanical ventilation in sedated and paralyzed patients. During the study day airway and eosephageal pressures, flow, tidal volume were measured and elastance, inspiratory PLE, PLD and PLR were calculated. Mean age of the patients was 67 ± 15 years and APACHE II score was 27 ± 7. Most frequent diagnosis of the patients were pneumonia (71%), COPD exacerbation(56%), pleural effusion (55%) and heart failure(50%). Mean plateau pressure of the patients was 22 ± 5 cmH2O and mean respiratory system elastance was 36.7 ± 13 cmH2O/L. EL/ERS% was 0.75 ± 0.35%. Mean expiratory transpulmonary pressure was 0.54 ± 7.7 cmH2O (min: - 21, max: 12). Mean PLE (18 ± 9 H2O) was significantly higher than PLD (13 ± 9 cmH2O) and PLR methods (11 ± 9 cmH2O). There was a good aggreement and there was no bias between the measurements in Bland-Altman analysis. The estimated bias was similar between the PLD and PLE (- 3.12 ± 11 cmH2O) and PLE and PLR (3.9 ± 10.9 cmH2O) measurements. Our results suggest that standardization of calculation method of inspiratory PL is necessary before using it routinely to estimate alveolar overdistension.

A promising marker in early diagnosis of septic acute kidney injury of critically ill patients: urine insulin like growth factor binding protein-7.

AIM: An ideal biomarker for early diagnosis of septic acute kidney injury (AKI) should reflect renal stress or damage at initiation point, at cellular level. The aim of this study was to assess the role of a urinary cell cycle arrest marker, insulin-like growth factor-binding protein 7 (IGFBP7) in early diagnosis of septic AKI in adult critical care patients. METHODS: This was a single-center prospective cohort study. Patients without AKI, admitted to a medical intensive care unit (ICU) between January 2010 and March 2013, were included. According to 'sepsis' and 'AKI' development during their ICU stay, they were grouped as 'sepsis-non AKI', 'sepsis-AKI' and 'non-sepsis-non AKI (control)'. Among these groups, urine IGFBP7 was studied and compared with Human ELISA Kit/96 Test/USCNK(®) first on admission and then on daily collected serial urine samples. RESULTS: A total of 118 patients formed the cohort; 52 in sepsis-non AKI, 43 in sepsis-AKI, 23 in control group. Admission urine IGFBP7 predicted septic AKI development with 72% sensitivity and 70% specificity for a threshold level of 2.5 ng/mL with an area under the receiver operating characteristics curve (AUC) of 0.79 (95% CI: 0.70-0.88). No impact of sepsis was observed on urine IGFBP7 levels in the absence of AKI. In the septic AKI group urine IGFBP7 levels continuously increased up to the day of AKI development and high levels were suspended for 10 days further. CONCLUSION: Admission urine IGFBP7 levels and following its course in ICUs can be used as a promising new biomarker for the early diagnosis of septic AKI development without being affected by sepsis itself.

Can admission serum cystatin C level be an early marker subclinical acute kidney injury in critical care patients?

BACKGROUND: In critical care patients, the diagnosis of subclinical acute kidney injury (AKI) might be difficult with measurements of serum creatinine and estimated glomerular filtration rate (eGFR). Their 'sensitive kidneys' can easily be affected from sepsis, underlying diseases, medications and volume status and if they can be detected earlier, some preventive measures might be taken. In this study we aimed to determine whether admission serum cystatin C (sCys-C) and other clinical parameters can identify subclinical AKI in medical intensive care unit (ICU) patients with normal creatinine-based eGFR at admission. METHODS: A prospective cohort study, performed in an adult ICU of a university hospital between January 2008 and March 2013. The blood samples were obtained within the first 24-48 hours of admission and sCys-C levels were analyzed with particle-enhanced immunonephelometric assay. AKI development was assessed according to RIFLE criteria. The cutoff value of sCys-C for the prediction of AKI was determined with receiver operating characteristic (ROC) curve analysis. RESULTS: A total of 72 patients were included in the study and 19 (26%) of them developed AKI. Among the patients with AKI admission sCys-C levels were significantly higher when compared with non-AKI patients (1.06 ± 0.29 vs. 0.89 ± 0.28 respectively, p = 0.026). With ROC curve analysis, the threshold level for sCys-C was 0.94 mg/L with 63% sensitivity and 66% specificity [AUC: 0.67, p = 0.026]. With logistic regression analysis 'high sCys-C levels at admission' (OR = 4.73; 95%CI 1.03-21.5, p = 0.044) was found as one of the independent variables for the prediction of AKI development, in addition to 'being intubated before ICU admission' (OR = 10.2; 95%CI 1.72-60.4, p = 0.01) and 'hypotension during ICU follow-up' (OR = 12.3; 95%CI 2.5-60.1, p = 0.002). CONCLUSION: In this cohort of patients, a high sCys-C level at admission was found to be a predictor of subclinical AKI arising during their ICU stay. If supported with further studies, it might be used to provide more accurate and earlier knowledge about renal dysfunction and to take appropriate preventive measures.

The intensive care management process in patients with hematopoietic stem cell transplantation and factors affecting their prognosis.

OBJECTIVES: Hematopoietic stem cell transplantation (HSCT) recipients may require further management in intensive care unit (ICU). The ICU outcome of the HSCT recipients is claimed to have improved significantly over the last two decades. Our aim was to investigate the ICU outcome of the HSCT recipients who required management in ICU, together with the factors that are likely to affect the results. MATERIALS AND METHODS: We retrospectively investigated the ICU outcome of 48 adults (≥18 years of age) who received HSCT in the bone marrow transplant unit of our hospital and required admission to ICU between 01 January 2007 and 31 December 2010. The data were retrieved from the databases of the adult bone marrow transplantation unit and the ICU. RESULTS: Sixty-one percent of the patients were male with a median age of 39 years (28-46.75) in the study cohort. Leukemia (54%) and lymphoma (27%) were the leading underlying disorders. The type of HSCT was autologous in 14.6% and allogeneic in 85.4% of the patients. The reason for admission to ICU was acute respiratory failure in 85.5% of the HSCT recipients and 75% had sepsis/septic shock. The mean duration of ICU stay was 104.5 (48-168) hours. Sixty-nine percent of the patients died during their ICU stay while 31% survived. Besides the several statistically significant differences between the patients who survived or died in ICU in univariate analysis, baseline Acute Physiology and Chronic Health Evaluation (APACHE II) score (odds ratio 1.38, 95% confidence interval: 1.06-1.79) and requirement of vasopressors in the ICU (odds ratio 72.29, 95% confidence interval:4.47-1169.91) were found to be independent risk factors for mortality in multivariate analysis. CONCLUSION: Baseline APACHE II score and requirement of vasopressors during ICU stay were the most significant independent risk factors for mortality in HSCT recipients who required ICU management in our center.