scholarly journals Influence of Tigecycline on Liver Function in Adult Patients in the Intensive Care Unit

2021 ◽  
Author(s):  
Jingnan Song ◽  
Pan Chen ◽  
Zhaoxia Tang ◽  
Yifan Zheng ◽  
Xiao Chen ◽  
...  
Keyword(s):  
Risk Factors ◽  
Intensive Care Unit ◽  
Regression Analysis ◽  
Intensive Care ◽  
Liver Disease ◽  
Liver Injury ◽  
Liver Function ◽  
Adult Patients ◽  
Apache Ii Score ◽  
Cox Regression Analysis

Abstract Background There are few studies investigating TGC-associated hepatotoxicity in ICU patients, and the pathogenesis of hepatotoxicity and identification of risk factors are limited. Objectives To analyze the influence of tigecycline (TGC) on liver function in adult patients in the Intensive Care Unit to identify potential risk factors for tigecycline-induced liver injury (TILI). Methods Patients receiving tigecycline treatment in ICU during January 2019 to October 2020 were retrospectively enrolled. The liver function parameters before and after tigecycline treatment were collected, and risk factors associated with TILI was identified by logistic regression analysis. The probability of 28-day mortality was determined in Cox regression analysis. Results A total of 242 patients were enrolled, and TILI was identified in 24 patients (9.92%), of whom 75.0% had grade 1 liver injury, and 16.67%, 4.17%, 4.17% had grade 2 to 4 liver injury, respectively. The pattern of hepatotoxicity was hepatocellular in 16 patients (66.67%), cholestatic in 4 patients (16.67%), and mixed in 4 patients (16.67%). The median time from tigecycline start to symptoms was only 5 days (IQR, 3-7 days). Multivariate analysis identified tigecycline dose ≥ 200mg/day, longer course of treatment and preexisting liver disease tend to be independently associated with TILI. In addition, APACHE II score > 15, higher dose of tigecycline and TILI were independent risk factors of 28-day mortality, while longer course of tigecycline reduced this risk despite its association with TILI. Conclusions The maintenance dose and course of tigecycline, as well as liver disease is considered as risk factors of hepatotoxicity. 28-day mortality tended to be higher in TILI patients. The relationships among tigecycline dose and course, TILI and mortality should be further investigated.

scholarly journals Incidence, Risk Factors, and Outcome of Acute Kidney Injury in the Intensive Care Unit: A Single-Center Study from Jordan

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Ashraf O. Oweis ◽  
Sameeha A. Alshelleh ◽  
Suleiman M. Momany ◽  
Shaher M. Samrah ◽  
Basheer Y. Khassawneh ◽  
...  
Keyword(s):  
Risk Factors ◽  
Intensive Care Unit ◽  
Acute Kidney Injury ◽  
Intensive Care ◽  
Kidney Injury ◽  
Tertiary Hospital ◽  
Acute Kidney Injury Network ◽  
Apache Ii Score ◽  
Mortality And Morbidity ◽  
Incidence Risk

Background. Acute kidney injury (AKI) is a common serious problem affecting critically ill patients in intensive care unit (ICU). It increases their morbidity, mortality, length of ICU stay, and long-term risk of chronic kidney disease (CKD). Methods. A retrospective study was carried out in a tertiary hospital in Jordan. Medical records of patients admitted to the medical ICU between 2013 and 2015 were reviewed. We aimed to identify the incidence, risk factors, and outcomes of AKI. Acute kidney injury network (AKIN) classification was used to define and stage AKI. Results. 2530 patients were admitted to medical ICU, and the incidence of AKI was 31.6%, mainly in stage 1 (59.4%). In multivariate analysis, increasing age (odds ratio (OR) = 1.2 (95% CI 1.1–1.3), P = 0.0001) and higher APACHE II score (OR = 1.5 (95% CI 1.2–1.7), P = 0.001) were predictors of AKI, with 20.4% of patients started on hemodialysis. At the time of discharge, 58% of patients with AKI died compared to 51.3% of patients without AKI (P = 0.05). 88% of patients with AKIN 3 died by the time of discharge compared to patients with AKIN 2 and 1 (75.3% and 61.2% respectively, P = 0.001). Conclusion. AKI is common in ICU patients, and it increases mortality and morbidity. Close attention for earlier detection and addressing risk factors for AKI is needed to decrease incidence, complications, and mortality.

scholarly journals Risk factors Associated to Extubation Failure in Adult Patients in an Intensive Care Unit of the City of Cali

2017 ◽  
Vol 15 (2) ◽  
pp. 237
Author(s):  
Deiby Alomía ◽  
Mirdza Coral ◽  
Sindy Ortegón ◽  
Rodolfo Soto ◽  
Vilma Muñoz
Keyword(s):  
Risk Factors ◽  
Intensive Care Unit ◽  
Intensive Care ◽  
Extubation Failure ◽  
Adult Patients ◽  
Apache Ii ◽  
Factors Associated ◽  
Factores De Riesgo ◽  
The City ◽  
Los Grupos

Objetivo: identificar los factores de riesgo asociados a la extubación fallida en pacientes adultos hospitalizados en una Unidad de Cuidados Intensivo de una clínica de III nivel de la ciudad de Cali, durante el período transcurrido entre junio de 2012 y junio de 2014. Materiales y métodos: estudio de casos y controles, de pacientes adultos que requirieron ventilación mecánica mayor a 48 horas. Los pacientes que fallaron en la extubación (casos) se compararon con los pacientes que fueron extubados exitosamente (control), se analizaron la edad, el índice de oxigenación PaO2/FIO2, el balance de líquidos, la hemoglobina, los días de ventilación mecánica, el tipo de destete y la mortalidad. Resultados: la población estuvo conformada por 130 pacientes, de los cuales 26 (20%) tuvieron una extubación fallida (casos). No hubo diferencias significativas entre los grupos en relación a la edad, género, diagnóstico y comorbilidades. El destete prolongado fue el único factor asociado a la extubación fallida 3,17 (ic 95% 1,01-9,90). No se observó una rela- ción estadísticamente signi cativa entre PaO2/FIO2, Hb, balance hídrico o escala Apache II con la ocurrencia de extubación fallida. La mortalidad fue más alta en el grupo de casos (23,1% vs 2,9%) con un or 10,1 (ic 95% 1,9-65,8). Conclusiones: el destete prolongado fue el único factor asociado al fracaso en la extubación. El riesgo de morir de un paciente con una extubación fallida fue 10 veces el riesgo de un paciente con una extubación exitosa.

Risk factors for 30-day mortality in patients with carbapenem-resistantAcinetobacter baumanniiduring an outbreak in an intensive care unit

2010 ◽  
Vol 139 (3) ◽  
pp. 411-418 ◽  
Author(s):  
C. G. PRATES ◽  
A. F. MARTINS ◽  
S. V. SUPERTI ◽  
F. S. LOPES ◽  
F. RAMOS ◽  
...  
Keyword(s):  
Risk Factors ◽  
Intensive Care Unit ◽  
Intensive Care ◽  
Protective Factor ◽  
Cox Regression ◽  
Mortality Rates ◽  
Demographic Characteristics ◽  
Apache Ii Score ◽  
Carbapenem Resistant ◽  
Appropriate Therapy

SUMMARYThis study assessed risk factors for 30-day mortality in 66 patients with carbapenem-resistantAcinetobacter baumannii(CRAB) infection or colonization during an outbreak in an intensive-care unit. Clinical and demographic characteristics were evaluated. The overall 30-day mortality was 47·0%. In the multivariate Cox regression model, septic shock [adjusted hazard ratio (aHR) 5·01, 95% confidence interval (CI) 2·32–10·01] and APACHE II score at onset of infection (aHR 1·11, 95% CI 1·04–1·18) were significantly associated with 30-day mortality. Administration of appropriate therapy was a protective factor, but it was not statistically significant (aHR 0·48, 95% CI 0·21–1·12). A sample of isolates tested (n=27) carried theblaOXA-23gene. Severity of baseline condition and severity of infection presentation were major risk factors for mortality during the outbreak. Patients who received appropriate therapy tended to have lower mortality rates, although therapy was started late and dosage was suboptimal in most cases.

scholarly journals Risk Factors and Outcomes of Acute Kidney Injury in Critically Ill Patients with Coronavirus Disease 2019

2020 ◽  
pp. 1-9
Author(s):  
Yichun Cheng ◽  
Nanhui Zhang ◽  
Ran Luo ◽  
Meng Zhang ◽  
Zhixiang Wang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Intensive Care Unit ◽  
Mechanical Ventilation ◽  
Acute Kidney Injury ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Intensive Care ◽  
Hospital Mortality ◽  
Kidney Injury ◽  
Stage 1

<b><i>Background:</i></b> Coronavirus disease 2019 (COVID-19) has emerged as a major global health threat with a great number of deaths worldwide. Acute kidney injury (AKI) is a common complication in patients admitted to the intensive care unit. We aimed to assess the incidence, risk factors and in-hospital outcomes of AKI in COVID-19 patients admitted to the intensive care unit. <b><i>Methods:</i></b> We conducted a retrospective observational study in the intensive care unit of Tongji Hospital, which was assigned responsibility for the treatments of severe COVID-19 patients by the Wuhan government. AKI was defined and staged based on Kidney Disease: Improving Global Outcomes (KDIGO) criteria. Mild AKI was defined as stage 1, and severe AKI was defined as stage 2 or stage 3. Logistic regression analysis was used to evaluate AKI risk factors, and Cox proportional hazards model was used to assess the association between AKI and in-hospital mortality. <b><i>Results:</i></b> A total of 119 patients with COVID-19 were included in our study. The median patient age was 70 years (interquartile range, 59–77) and 61.3% were male. Fifty-one (42.8%) patients developed AKI during hospitalization, corresponding to 14.3% in stage 1, 28.6% in stage 2 and 18.5% in stage 3, respectively. Compared to patients without AKI, patients with AKI had a higher proportion of mechanical ventilation mortality and higher in-hospital mortality. A total of 97.1% of patients with severe AKI received mechanical ventilation and in-hospital mortality was up to 79.4%. Severe AKI was independently associated with high in-hospital mortality (OR: 1.82; 95% CI: 1.06–3.13). Logistic regression analysis demonstrated that high serum interleukin-8 (OR: 4.21; 95% CI: 1.23–14.38), interleukin-10 (OR: 3.32; 95% CI: 1.04–10.59) and interleukin-2 receptor (OR: 4.50; 95% CI: 0.73–6.78) were risk factors for severe AKI development. <b><i>Conclusions:</i></b> Severe AKI was associated with high in-hospital mortality, and inflammatory response may play a role in AKI development in critically ill patients with COVID-19.

Patient-Specific Risk Factors Associated With the Development of Hyperchloremia in a Neurocritical Care Intensive Care Unit

2021 ◽  
pp. 089719002110268
Author(s):  
Leslie A. Hamilton ◽  
Michael L. Behal ◽  
Ashley R. Carter ◽  
A. Shaun Rowe
Keyword(s):  
Risk Factors ◽  
Intensive Care Unit ◽  
Acute Kidney Injury ◽  
Intensive Care ◽  
Neurocritical Care ◽  
Kidney Injury ◽  
Serum Osmolality ◽  
Apache Ii ◽  
Apache Ii Score ◽  
Factors Associated

Background: Hypertonic sodium chloride (HTS) is used in intensive care unit (ICU) settings to manage cerebral edema, intracranial hypertension, and for the treatment of severe hyponatremia. It has been associated with an increased incidence of hyperchloremia; however, there is limited literature focusing on hyperchloremic risk in neurologically injured patients. Objective: The primary objective of this study was to determine risk factors associated with development of hyperchloremia in a neurocritical care (NCC) ICU population. Methods: This was a retrospective case-control study performed in an adult NCC ICU and included patients receiving HTS. The primary outcome was to evaluate patient characteristics and treatments associated with hyperchloremia. Secondary outcomes included acute kidney injury and mortality. Results: Overall, 133 patients were identified; patients who were hyperchloremic were considered cases (n = 100) and patients without hyperchloremia were considered controls (n = 33). Characteristics and treatments were evaluated with univariate analysis and a logistic regression model. In the multivariate model, APACHE II Score, initial serum osmolality, total 3% saline volume, and total 23.4% saline volume were significant predictors for hyperchloremia. In addition, patients with a serum chloride greater than 113.5 mEq/L were found to have a higher risk of acute kidney injury (AKI) (adjusted OR 3.15; 95% CI 1.10-9.04). Conclusions: This study demonstrated APACHE II Score, initial serum osmolality, and total 3% and 23.4% saline volumes were associated with developing hyperchloremia in the NCC ICU. In addition, hyperchloremia is associated with an increased risk of AKI.

scholarly journals Incidence, risk factors and prognosis of nosocomial pneumonia in adult patients admitted in the intensive care unit

2021 ◽  
Vol 23 (1) ◽  
pp. 78-83
Author(s):  
Narges Ghorbani ◽  
Mohammad Nassaji ◽  
Raheb Ghorbani ◽  
◽  
◽  
...  
Keyword(s):  
Risk Factors ◽  
Intensive Care Unit ◽  
Intensive Care ◽  
Nosocomial Pneumonia ◽  
Adult Patients ◽  
Incidence Risk

scholarly journals Prognostic factors of adult tuberculous meningitis in intensive care unit: a single-center retrospective study in East China

BMC Neurology ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Baobao Feng ◽  
Xiao Fei ◽  
Ying Sun ◽  
Xingguo Zhang ◽  
Deya Shang ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Mechanical Ventilation ◽  
Intensive Care ◽  
Prognostic Factors ◽  
Retrospective Study ◽  
Tuberculous Meningitis ◽  
Adult Patients ◽  
Apache Ii ◽  
Cox Regression Analysis ◽  
Factors Associated

Abstract Background Tuberculous meningitis (TBM) is the most lethal form of tuberculosis worldwide. Data on critically ill TBM patients in the intensive care unit (ICU) of China are lacking. We tried to identify prognostic factors of adult TBM patients admitted to ICU in China. Methods We conducted a retrospective study on adult TBM in ICU between January 2008 and April 2018. Factors associated with unfavorable outcomes at 28 days were identified by logistic regression. Factors associated with 1-year mortality were studied by Cox proportional hazards modeling. Results Eighty adult patients diagnosed with TBM (age 38.5 (18–79) years, 45 (56 %) males) were included in the study. An unfavorable outcome was observed in 39 (49 %) patients and were independently associated with Acute Physiology and Chronic Health Evaluation (APACHE) II > 23 (adjusted odds ratio (aOR) 5.57, 95 % confidence interval (CI) 1.55–19.97), Sequential Organ Failure Assessment (SOFA) > 8 (aOR 9.74, 95 % CI 1.46–64.88), and mechanical ventilation (aOR 18.33, 95 % CI 3.15–106.80). Multivariate Cox regression analysis identified two factors associated with 1-year mortality: APACHE II > 23 (adjusted hazard ratio (aHR) 4.83; 95 % CI 2.21–10.55), and mechanical ventilation (aHR 9.71; 95 % CI 2.31–40.87). Conclusions For the most severe adult TBM patients of Medical Research Council (MRC) stage III, common clinical factors aren’t effective enough to predict outcomes. Our study demonstrates that the widely used APACHE II and SOFA scores on admission can be used to predict short-term outcomes, while APACHE II could also be used to predict long-term outcomes of adult patients with TBM in ICU.

scholarly journals Predictors of postoperative complication and prolonged intensive care unit stay after complete pericardiectomy in tuberculous constrictive pericarditis

2020 ◽  
Author(s):  
Likui Fang ◽  
Guocan Yu ◽  
Jinpeng Huang ◽  
Wuchen Zhao ◽  
Bo Ye
Keyword(s):  
Risk Factors ◽  
Intensive Care Unit ◽  
Intensive Care ◽  
Postoperative Complication ◽  
Constrictive Pericarditis ◽  
Functional Class ◽  
Cox Regression Analysis ◽  
Nyha Functional Class ◽  
Icu Stay ◽  
Prolonged Icu Stay

Abstract Purpose The risk factors of postoperative outcomes after pericardiectomy in tuberculous constrictive pericarditis have still been unclear. This study aimed to investigate the predictors of postoperative complication and prolonged intensive care unit (ICU) stay in the patients with tuberculous constrictive pericarditis undergoing pericardiectomy. Methods A total of 88 patients with tuberculous constrictive pericarditis undergoing pericardiectomy were retrospectively enrolled. Logistic regression and Cox regression analysis were performed to identify the predictors of postoperative complication and prolonged ICU stay, respectively. Results All patients underwent complete pericardiectomy and 35 (39.8%) had postoperative complications with no mortality within 30 days after surgery. Postoperative complication delayed postoperative ICU stay (P < 0.001), duration of chest drainage (P < 0.001) and postoperative hospital stay (P < 0.001). Preoperative NYHA functional class (P = 0.004, OR 4.051, 95%CI 1.558–10.533) and preoperative central venous pressure (CVP) (P = 0.031, OR 1.151, 95%CI 1.013–1.309) were independent risk factors of postoperative complication. Postoperative complication (P < 0.001, HR 4.132, 95%CI 2.217–7.692) was the independent risk factor for prolonged ICU stay. Conclusion Complete pericardiectomy was associated with high risk of postoperative complication in tuberculous constrictive pericarditis. Poor preoperative NYHA functional class and high preoperative CVP were shown to predict postoperative complication which was the predictor of prolonged ICU stay.

Impact of Non-Hepatic Hyperammonemia on Mortality in Intensive Care Unit Patients: A Retrospective Cohort Study

2020 ◽  
Author(s):  
Jae Heon Kim ◽  
Hankyu Jeon ◽  
Sang Soo Lee ◽  
Hee Jin Kim ◽  
Ra Ri Cha ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Regression Analysis ◽  
Intensive Care ◽  
Cox Regression ◽  
Multivariate Logistic Regression Analysis ◽  
Hepatic Disease ◽  
Cox Regression Analysis ◽  
Entire Cohort ◽  
Factors Associated ◽  
The Impact

Abstract Background: The effect of hyperammonemia on the mortality in patients with liver cirrhosis is well documented. However, little is known about the impact of hyperammonemia on mortality in intensive care unit patients without hepatic disease. We aimed to investigate factors associated with non-hepatic hyperammonemia in intensive care unit patients and evaluate the factors related to 90-day mortality. Methods: Between February 2016 and February 2020, 972 cases in 948 intensive care unit patients without hepatic disease were retrospectively enrolled and classified as hyperammonemia grades 0 (≤80 µg/dL; n=585 (60.2%)), 1 (≤160 µg/dL; n=291 (29.9%)), 2 (≤240 µg/dL; n=55 (5.7%)), and 3 (>240 µg/dL; n=41 (4.2%)). Factors associated with hyperammonemia and 90-day mortality were evaluated by multivariate logistic regression analysis and Cox regression analysis, respectively. Kaplan-Meier survival curves for 90-day mortality were constructed.Results: The independent risk factors for hyperammonemia were male sex (odds ratio, 1.517), age (0.984 per year), acute brain failure (2.467), acute kidney injury (1.437), prothrombin time-international normalized ratio (2.272 per unit), and albumin (0.694 per g/dL). The 90-day mortality rate in the entire cohort was 24.3% and gradually increased with increasing hyperammonemia grade at admission (17.9%, 28.2%, 43.6%, and 61.0% in patients with grades 0, 1, 2, and 3, respectively). Additionally, non-hepatic hyperammonemia was an independent predictor of 90-day mortality in intensive care unit patients. Conclusions: Non-hepatic hyperammonemia is common (39.8%) and associated with 90-day mortality in intensive care unit patients. Therefore, clinicians must examine serum ammonia levels in patients before admission to intensive care unit.

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