scholarly journals 495. Risk Factors of Carbapenem-Resistant Enterobacteriaceae (CRE) Infections Among Intensive Care Unit (ICU) Patients in a Tertiary Hospital in the Philippines

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S241-S242
Author(s):  
Roderick Oreal Torio ◽  
Danielle Nicole T Paras ◽  
Cybele Lara R Abad
Keyword(s):  
Risk Factors ◽  
Intensive Care Unit ◽  
Mechanical Ventilation ◽  
Intensive Care ◽  
Hospital Mortality ◽  
Length Of Hospital Stay ◽  
The Philippines ◽  
Common Site ◽  
Carbapenem Resistant ◽  
Carbapenem Resistant Enterobacteriaceae

Abstract Background The threat of Carbapenem-Resistant Enterobacteriaceae (CRE) is increasing worldwide, and the epidemiology, risk factors, and outcomes of CRE in the Philippines is unknown. Methods We performed a retrospective case–control study of 128 CRE cases and Carbapenem-Susceptible Enterobacteriaceae (CSE) controls matched 1:1 based on site of infection and date of admission among all adult patients in the Intensive Care Unit (ICU) between January 2014 and May 2018 at The Medical City. Predictors of CRE infection among matched cases and controls were determined through multiple conditional logistic regression analysis. In-hospital mortality was analyzed using z-test of two proportions and length of stay among patients with CRE and CSE were compared. Results The mean age in both groups was similar at 65.8 (range 23–92) and 64.3 (range 23–98) years, respectively. There were more males among cases than controls [(76/128, 59%) vs. 62/128 (48%)]. Those with CRE were more likely to have a co-morbid illness and an invasive device. Pneumonia was the most common site of CRE infection (40%) followed by the urinary tract (27%). Enterobacter cloacae (54.68%) was the most common organism, followed by Klebsiella pneumoniae (30.46%). On univariate analysis, the use of piperacillin–tazobactam, third or fourth-generation cephalosporins and carbapenems, mechanical ventilation, and acute kidney injury (AKI) increased the risk of developing CRE infections by an OR of 7.5 (CI 1.88–29.95, P = 0.004), 9.32 (CI 1.48–58.59, P = 0.017), and 10.76 (CI 1.69–68.53, P = 0.012), respectively. Those with CRE had a higher in-hospital mortality than the CSE group [(49/79, 38.3%) vs. (33/95, 25.8%); P = 0.032]. Length of hospital stay among CRE cases was also longer with a mean of 43.9 vs. 28 days compared with controls. Conclusion In our cohort, older patients w/ comorbidities developed CRE with pneumonia being the most common site of infection. Prior use of broad-spectrum antimicrobials, mechanical ventilation and AKI appeared to increase the risk of CRE infection in the ICU. CRE infection also increased patient mortality and length of hospital stay. Interventions that target these risk factors should be undertaken to help prevent CRE infection. Disclosures All authors: No reported disclosures.

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.

scholarly journals Risk Factors for Carbapenem Resistant Klebsiella pneumoniae Hospital Infection in the Intensive Care Unit

2018 ◽  
Vol 19 (3) ◽  
pp. 255-261
Author(s):  
Zorana M. Djordjevic ◽  
Marko M. Folic ◽  
Nevena Gajovic ◽  
Slobodan M. Jankovic
Keyword(s):  
Risk Factors ◽  
Intensive Care Unit ◽  
Mechanical Ventilation ◽  
Logistic Regression ◽  
Intensive Care ◽  
Klebsiella Pneumoniae ◽  
Surgical Intensive Care Unit ◽  
Multivariate Logistic Regression ◽  
Surgical Intensive Care ◽  
Carbapenem Resistant

Abstract Carbapenem-resistant Klebsiella pneumoniae (CR-Kp) has become a major threat to patients in hospitals, increasing mortality, length of stay and costs. The aim of this study was to discover risk factors for the development of hospital infections (HIs) caused by CR-Kp. A prospective cohort study was conducted in the Medical-Surgical Intensive Care Unit of the Clinical Centre in Kragujevac, Kragujevac, Serbia, from January 1, 2011, to December 31, 2015. The “cases” were patients with HIs caused by CR-Kp, while the “controls” were patients infected with carbapenem-sensitive Klebsiella pneumoniae (CS-Kp). The significance of multiple putative risk factors for HIs caused by CR-Kp was tested using multivariate logistic regression. Although univariate analyses pointed to many risk factors, with a significant influence on the occurrence of hospital CR-Kp infections, the multivariate logistic regression identified five independent risk factors: use of mechanical ventilation (OR=6.090; 95% CI=1.030-36.020; p=0.046); length of antibiotic therapy before HIs (days) (OR=1.080; 95% CI=1.003-1.387; p=0.045); previous use of carbapenems (OR=7.005; 95% CI=1.054-46.572; p=0.044); previous use of ciprofloxacin (OR=20.628; 95% CI=2.292-185.687; p=0.007) and previous use of metronidazole (OR=40.320; 95% CI=2.347-692.795; p=0.011) HIs caused by CR-Kp are strongly associated with the use of mechanical ventilation and the duration of the previous use of certain antibiotics (carbapenems, ciprofloxacin and metronidazole).

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

2020 ◽  
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

Abstract Background: 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 toassess the incidence, risk factors and in-hospital outcomes of AKI in COVID-19 patients admitted to intensive care unitMethods: we conducted a retrospective observational study in intensive care unit of Tongji hospital, which was assigned responsibility for the treatments of severe COVID-19 patients by Wuhan government. The AKI was defined and staged based onKidney Disease: Improving Global Outcomes (KDIGO) criteria. Mild AKI was defined as stage 1, and severe AKI was defined as stage 2 or stage 3. We used logistic regression analysis to evaluate AKI risk factors and the association between AKI and in-hospital mortality.Results: A total of 150 patients with COVID-19 were included in our study. The median age of patients was 70 (interquartile range, 60-80) years and 62.7% were male. 70 (46.7%) patients developed AKI during hospitalization, corresponding to the 17.3% in stage 1 and 9.3% in stage 2 and 20.0% in stage 3, respectively. Compared to patients without AKI, patients with AKI had higher proportion of mechanical ventilation mortality and higher in-hospital mortality. 95.5% patients with severe AKI received mechanical ventilation and in-hospital mortality was up to 79.5%. Severe AKI was independently associated with high in-hospital mortality (OR: 4.30; 95% CI: 1.83-10.10). Logistic regression analysis demonstrated that high serum interleukin-6 (OR: 2.54; 95%CI: 1.00-6.42) and interleukin-10 (OR: 3.02; 95%CI: 1.17-7.82) were risk factors for severe AKI development.Conclusions: 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.

Analysis of diagnostic criteria for ventilator-associated pneumonia: a cohort study

2021 ◽  
Vol 74 (6) ◽  
Author(s):  
Caroline Gonçalves Pustiglione Campos ◽  
Aline Pacheco ◽  
Maria Dagmar da Rocha Gaspar ◽  
Guilherme Arcaro ◽  
Péricles Martim Reche ◽  
...  
Keyword(s):  
Risk Factors ◽  
Intensive Care Unit ◽  
Mechanical Ventilation ◽  
Cohort Study ◽  
Intensive Care ◽  
Diagnostic Criteria ◽  
Statistical Tests ◽  
Significant Risk ◽  
Diagnostic Methods ◽  
Ventilator Associated Pneumonia

ABSTRACT Objectives: to analyze the diagnostic criteria for ventilator-associated pneumonia recommended by the Brazilian Health Regulatory Agency and the National Healthcare Safety Network/Centers for Disease Control and Prevention, as well as its risk factors. Methods: retrospective cohort study carried out in an intensive care unit throughout 12 months, in 2017. Analyses included chi-square, simple linear regression, and Kappa statistical tests and were conducted using Stata 12 software. Results: the sample was 543 patients who were in the intensive care unit and under mechanical ventilation, of whom 330 (60.9%) were men and 213 (39.1%) were women. Variables such as gender, age, time under mechanical ventilation, and oral hygiene proved to be significant risk factors for the development of ventilator-associated pneumonia. Conclusions: patients submitted to mechanical ventilation need to be constantly evaluated so the used diagnostic methods can be accurate and applied in an objective and standardized way in Brazilian hospitals.

scholarly journals Global Muscle Strength But Not Grip Strength Predicts Mortality and Length of Stay in a General Population in a Surgical Intensive Care Unit

2012 ◽  
Vol 92 (12) ◽  
pp. 1546-1555 ◽  
Author(s):  
Jeanette J. Lee ◽  
Karen Waak ◽  
Martina Grosse-Sundrup ◽  
Feifei Xue ◽  
Jarone Lee ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Mechanical Ventilation ◽  
Intensive Care ◽  
Length Of Stay ◽  
Hospital Mortality ◽  
Grip Strength ◽  
Muscle Weakness ◽  
Manual Muscle Testing ◽  
Surgical Intensive Care Unit ◽  
Muscle Testing

Background Paresis acquired in the intensive care unit (ICU) is common in patients who are critically ill and independently predicts mortality and morbidity. Manual muscle testing (MMT) and handgrip dynamometry assessments have been used to evaluate muscle weakness in patients in a medical ICU, but similar data for patients in a surgical ICU (SICU) are limited. Objective The purpose of this study was to evaluate the predictive value of strength measured by MMT and handgrip dynamometry at ICU admission for in-hospital mortality, SICU length of stay (LOS), hospital LOS, and duration of mechanical ventilation. Design This investigation was a prospective, observational study. Methods One hundred ten patients were screened for eligibility for testing in the SICU of a large, academic medical center. The Acute Physiology and Chronic Health Evaluation (APACHE) II score, diagnoses, and laboratory data were collected. Measurements were obtained by MMT quantified with the sum (total) score on the Medical Research Council Scale and by handgrip dynamometry. Outcome data, including in-hospital mortality, SICU LOS, hospital LOS, and duration of mechanical ventilation, were collected for all participants. Results One hundred seven participants were eligible for testing; 89% were tested successfully at a median of 3 days (25th–75th percentiles=3–6 days) after admission. Sedation was the most frequent barrier to testing (70.6%). Manual muscle testing was identified as an independent predictor of mortality, SICU LOS, hospital LOS, and duration of mechanical ventilation. Grip strength was not independently associated with these outcomes. Limitations This study did not address whether muscle weakness translates to functional outcome impairment. Conclusions In contrast to handgrip strength, MMT reliably predicted in-hospital mortality, duration of mechanical ventilation, SICU LOS, and hospital LOS.

scholarly journals Risk factors for mortality and mortality rates in interstitial lung disease patients in the intensive care unit

2018 ◽  
Vol 27 (150) ◽  
pp. 180061 ◽  
Author(s):  
Julio A. Huapaya ◽  
Erin M. Wilfong ◽  
Christopher T. Harden ◽  
Roy G. Brower ◽  
Sonye K. Danoff
Keyword(s):  
Risk Factors ◽  
Intensive Care Unit ◽  
Mechanical Ventilation ◽  
Intensive Care ◽  
Interstitial Lung Disease ◽  
Mortality Rate ◽  
Lung Disease ◽  
Mortality Rates ◽  
Population Heterogeneity

Data on interstitial lung disease (ILD) outcomes in the intensive care unit (ICU) is of limited value due to population heterogeneity. The aim of this study was to examine risk factors for mortality and ILD mortality rates in the ICU.We performed a systematic review using five databases. 50 studies were identified and 34 were included: 17 studies on various aetiologies of ILD (mixed-ILD) and 17 on idiopathic pulmonary fibrosis (IPF). In mixed-ILD, elevated APACHE score, hypoxaemia and mechanical ventilation are risk factors for mortality. No increased mortality was found with steroid use. Evidence is inconclusive on advanced age. In IPF, evidence is inconclusive for all factors except mechanical ventilation and hypoxaemia. The overall in-hospital mortality was available in 15 studies on mixed-ILD (62% in 2001–2009 and 48% in 2010–2017) and 15 studies on IPF (79% in 1993–2004 and 65% in 2005–2017). Follow-up mortality rate at 1 year ranged between 53% and 100%.Irrespective of ILD aetiology, mechanical ventilation is associated with increased mortality. For mixed-ILD, hypoxaemia and APACHE scores are also associated with increased mortality. IPF has the highest mortality rate among ILDs, but since 1993 the rate appears to be declining. Despite improving in-hospital survival, overall mortality remains high.

scholarly journals Incidence of Delirium in Critically Ill Cancer Patients

2018 ◽  
Vol 2018 ◽  
pp. 1-6 ◽  
Author(s):  
Luis A. Sánchez-Hurtado ◽  
Nancy Hernández-Sánchez ◽  
Mario Del Moral-Armengol ◽  
Humberto Guevara-García ◽  
Francisco J. García-Guillén ◽  
...  
Keyword(s):  
Risk Factors ◽  
Intensive Care Unit ◽  
Mechanical Ventilation ◽  
Intensive Care ◽  
Cancer Patients ◽  
Critically Ill ◽  
Potential Risk ◽  
Assessment Method ◽  
Icu Stay ◽  
Potential Risk Factors

Objective. The aim of this study was to estimate the incidence of delirium and its risk factors among critically ill cancer patients in an intensive care unit (ICU). Materials and Methods. This is a prospective cohort study. The Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) was measured daily at morning to diagnose delirium by a physician. Delirium was diagnosed when the daily was positive during a patient’s ICU stay. All patients were followed until they were discharged from the ICU. Using logistic regression, we estimated potential risk factors for developing delirium. The primary outcome was the development of ICU delirium. Results. There were 109 patients included in the study. Patients had a mean age of 48.6 ± 18.07 years, and the main reason for admission to the ICU was septic shock (40.4%). The incidence of delirium was 22.9%. The mortality among all subjects was 15.6%; the mortality rate in patients who developed delirium was 12%. The only variable that had an association with the development of delirium in the ICU was the days of use of mechanical ventilation (OR: 1.06; CI 95%: 0.99–1.13;p=0.07). Conclusion. Delirium is a frequent condition in critically ill cancer patients admitted to the ICU. The duration in days of mechanical ventilation is potential risk factors for developing delirium during an ICU stay. Delirium was not associated with a higher rate of mortality in this group of patients.

Assessment of risk factors for in-hospital mortality after intensive care unit discharge

Biomarkers ◽  
2012 ◽  
Vol 17 (2) ◽  
pp. 180-185 ◽  
Author(s):  
Inês Araújo ◽  
João Gonçalves-Pereira ◽  
Sofia Teixeira ◽  
Raquel Nazareth ◽  
Joana Silvestre ◽  
...  
Keyword(s):  
Risk Factors ◽  
Intensive Care Unit ◽  
Intensive Care ◽  
Hospital Mortality ◽  
Intensive Care Unit Discharge ◽  
Unit Discharge

scholarly journals Surveillance of healthcare-associated infections in a Tunisian university hospital

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
H Hannachi ◽  
A Ben Cheikh ◽  
S Bhiri ◽  
H Ghali ◽  
S Khefacha ◽  
...  
Keyword(s):  
Risk Factors ◽  
Intensive Care Unit ◽  
Intensive Care ◽  
University Hospital ◽  
Healthcare Associated Infections ◽  
Drug Resistant ◽  
Healthcare Associated Infection ◽  
Carbapenem Resistant ◽  
Independent Risk Factors ◽  
Healthcare Associated

Abstract Introduction Healthcare -associated infections has become a worldwide public health problem. The aim of this study was to estimate the incidence of healthcare- associated infections in a university hospital of Tunisia. Methods This was a cohort study conducted in six intensive care units in a university hospital of Tunisia during three months (from august to October 2018). Data was provided from patients’ files. Data entry and analysis was done using SPSS version 22. Multivariate analysis was used in order to identify independent risk factors for healthcare associated infection. Results A total of 202 patients were enrolled in this study. The incidence rate of healthcare-associated infections was 53,96%(109/202). The ratio infection/infected was estimated to 1.65(109/66). The incidence of multi-drug resistant pathogens was 21,28% (43/202). The most common resistant pathogens included pseudomonas aeruginosa resistant to cefdazidime in 13,76%(15/109) followed by those resistant to extended spectrum cephalosporin 11.92% (13/109), followed by carbapenem-resistant acinetobcater baumanii 6,42%(7/109) then by carbapenem resistant pathogens and enterococcus resistant to vancomycin 2.75%(3/109) and finally staphylococcus aureus resistant to methicillin 2.1%(2/1.83). The multivariate analysis showed that long duration of central line catheterisation (RR = 7.44; 95%CI[2.79-19.82]), tracheotomy(RR = 8.61;95%CI[2.09-35,39]) and length of stay (RR = 1.08; 95%CI[1.04-1.13]) were found as independent risk factors for healthcare -associated infection. Conclusions The emergence of mutli-drug resistant pathogens needs to be deeply studied and effective measures have to be taken in order to detect and prevent transmission of resistant strains and/or their resistance determinants, especially those with phenotypes having the fewest viable treatment options. Key messages The incidence of healthcare associated infection in the intensive care unit was high. Effective measures have to be taken in the intensive care unit to detect and prevent transmission of resistant pathogens.

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