scholarly journals Risk Factors for Hospital-Acquired Pneumonia in Hemorrhagic Stroke Patients Treated in the Intensive Care Unit

Author(s):  
Sol Ji Jung ◽  
Ja Myoung Lee ◽  
Tae yong An ◽  
In Sung Park
Medwave ◽  
2013 ◽  
pp. e5637-e5637
Author(s):  
Liudmila Carnesoltas Suarez ◽  
Miguel Ángel Serra Valdés ◽  
Rosario O’Farrill Lazo

2019 ◽  
Vol 47 (4) ◽  
pp. 317-326 ◽  
Author(s):  
Fang Jiang ◽  
Lianjiu Su ◽  
Hui Xiang ◽  
Xiaoyi Zhang ◽  
Dongxue Xu ◽  
...  

Objective: We investigated the epidemiology, risk factors, and predictive parameters for ischemic or hemorrhagic stroke-associated acute kidney injury (AKI) and mortality in a general intensive care unit (ICU) in China. Methods: During 5 years, 479 stroke patients were screened, and 381 were enrolled. AKI was diagnosed within 7 days after ICU admission, based on the Kidney Disease Improving Global Outcomes criteria. Risk factors of AKI were assessed by Logistic regression analyses, and the predictive biomarkers for AKI were determined using receiver operating characteristic (ROC) curves. Also examined were factors influencing 28-day mortality, using Cox regression analyses and Kaplan-Meier curves. ­Results: Among all, 115 (30.18%) patients developed AKI. Multivariate regression analyses revealed that the following features at ICU admission significantly increased the risk of developing AKI: an increased National Institutes of Health Stroke Scale score (OR 1.136, p < 0.001) and Acute Physiology and Chronic Health Evaluation II score (OR 1.107, p = 0.042); hypertension (OR 2.346, p = 0.008); use of loop diuretics (OR 1.961, p = 0.032); and higher serum cystatin C (sCysC; OR 8.156, p = 0.001). The area under the ROC curves for predicting AKI using sCysC was 0.772, slightly better than that of other biomarkers. The sCysC ≥0.93 mg/L (hazard ratio 1.844, p = 0.004) significantly predicted 28-day mortality. Conclusions: Among stroke patients in ICU, we identified significant risk factors of stroke-associated AKI. Serum CysC level at ICU admission was an important biomarker for predicting AKI and 28-day mortality.


2014 ◽  
Vol 42 (1) ◽  
pp. 38-42 ◽  
Author(s):  
Nieves Sopena ◽  
Eva Heras ◽  
Irma Casas ◽  
Jordi Bechini ◽  
Ignasi Guasch ◽  
...  

2010 ◽  
Vol 38 (6) ◽  
pp. 994-1001 ◽  
Author(s):  
G. H. Furtado ◽  
A. C. Gales ◽  
L. B. Perdiz ◽  
A. F. Santos ◽  
S. B. Wey ◽  
...  

Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 2313-2313
Author(s):  
Minh Q Tran ◽  
Steven L Shein ◽  
Hong Li ◽  
Sanjay P Ahuja

Abstract Introduction: Venous thromboembolism (VTE) in Pediatric Intensive Care Unit (PICU) patients is associated with central venous catheter (CVC) use. However, risk factors for VTE development in PICU patients with CVCs are not well established. The impact of Hospital-Acquired VTE in the PICU on clinical outcomes needs to be studied in large multicenter databases to identify subjects that may benefit from screening and/or prophylaxis. Method: With IRB approval, the Virtual Pediatric Systems, LLC database was interrogated for children < 18yo admitted between 01/2009-09/2014 who had PICU length of stay (LOS) <1 yr and a CVC present at some point during PICU care. The exact timing of VTE diagnosis was unavailable in the database, so VTE-PICU was defined as an "active" VTE that was not "present at admission". VTE-prior was defined as a VTE that was "resolved," "ongoing" or "present on admission." Variables extracted from the database included demographics, primary diagnosis category, and Pediatric Index of Mortality (PIM2) score. PICU LOS was divided into quintiles. Chi squared and Wilcoxon rank-sum were used to identify variables associated with outcomes, which were then included in multivariate models. Our primary outcome was diagnosis of VTE-PICU and our secondary outcome was PICU mortality. Children with VTE-prior were included in the mortality analyses, but not the VTE-PICU analyses. Data shown as median (IQR) and OR (95% CI). Results: Among 143,524 subjects, the median age was 2.8 (0.47-10.31) years and 55% were male. Almost half (44%) of the subjects were post-operative. The median PIM2 score was -4.11. VTE-prior was observed in 2498 patients (1.78%) and VTE-PICU in 1741 (1.2%). The incidence of VTE-PICU were 852 (1.7%) in patients ≤ 1 year old, 560 (0.9%) in patients 1-12 years old, and 303 (1.1%) in patients ≥ 13 years old (p < 0.0001). In univariate analysis, variables associated with a diagnosis of VTE-PICU were post-operative state, four LOS quintiles (3-7, 7-14, and 14-21 and >21 days) and several primary diagnosis categories: cardiovascular, gastrointestinal, infectious, neurologic, oncologic, genetic, and orthopedic. Multivariate analysis showed increased risk of VTE with cardiovascular diagnosis, infectious disease diagnosis, and LOS > 3 d (Table 1). The odds increased with increasing LOS: 7 d < LOS ≤ 14 d (5.18 [4.27-6.29]), 14 d < LOS ≤ 21 d (7.96 [6.43-9.82]), and LOS > 21 d (20.73 [17.29-24.87]). Mortality rates were 7.1% (VTE-none), 7.2% (VTE-prior), and 10.1% (VTE-PICU) (p < 0.0001). In the multivariate model, VTE-PICU (1.25 [1.05-1.49]) and VTE-prior (1.18 [1.002-1.39]) were associated with death vs. VTE-none. PIM2 score, trauma, and several primary diagnosis categories were also independently associated with death (Table 2). Conclusion: This large, multicenter database study identified several variables that are independently associated with diagnosis of VTE during PICU care of critically ill children with a CVC. Children with primary cardiovascular or infectious diseases, and those with PICU LOS >3 days may represent specific populations that may benefit from VTE screening and/or prophylaxis. Hospital-Acquired VTE in PICU was independently associated with death in our database. Additional analysis of this database, including adding specific diagnoses and secondary diagnoses, may further refine risk factors for Hospital-Acquired VTE among PICU patients with a CVC. Table 1. Multivariate analysis of Factors Associated with VTE-PICU. Factors Odds Ratio 95% Confidence Interval 3d < LOS ≤ 7d vs LOS ≤ 3d 2.19 1.78-2.69 7d < LOS ≤ 14d vs LOS ≤ 3d 5.18 4.27-6.29 14d < LOS ≤ 21d vs LOS ≤ 3d 7.95 6.44-9.82 LOS > 21d vs LOS ≤ 3d 20.73 17.29-24.87 Age 1.00 0.99-1.01 Post-operative 0.89 0.80-0.99 PIM2 Score 1.47 1.01-1.07 Primary Diagnosis: Cardiovascular 1.50 1.31-1.64 Primary Diagnosis: Infectious 1.50 1.27-1.77 Primary Diagnosis: Genetics 0.32 0.13-0.78 Table 2. Multivariate Analysis of Factors Associated with PICU Mortality. Factors Odds Ratio 95% ConfidenceInterval VTE-prior 1.18 1.00-1.39 VTE-PICU 1.25 1.05-1.49 PIM2 Score 2.08 2.05-2.11 Trauma 1.92 1.77-2.07 Post-operative 0.45 0.42-0.47 Primary Diagnosis: Genetic 2.07 1.63-2.63 Primary Diagnosis: Immunologic 2.45 1.51-3.95 Primary Diagnosis: Hematologic 1.63 1.30-2.06 Primary Diagnosis: Metabolic 0.71 0.58-0.87 Primary Diagnosis: Infectious 1.47 1.36-1.59 Primary Diagnosis: Neurologic 1.37 1.27-1.47 Disclosures No relevant conflicts of interest to declare.


2021 ◽  
Vol 2 (2) ◽  
Author(s):  
Francis Odiase ◽  
Patrick Lofor

Severe stroke may necessitate intensive care unit admission, but there is a heightened risk of acquiring infection with use of ICU devices. Data regarding infection, pathogens and microbial resistance amongst stroke patients admitted into the ICU is scanty in Nigeria. This study aims to describe the infections, pathogens and antibiotics resistance pattern amongst stroke patients admitted into the ICU. It was a retrospective study. The ICU admission records of all stroke patients at the University of Benin Teaching Hospital from January 2014 to September 2019 were reviewed. The data obtained were the demographics, the types of stroke, results of microbiological studies on endotracheal aspirates, urine specimen, blood specimen, wound swab, vascular catheters, urinary catheters and the antibiogram pattern. One hundred and eight stroke patients were admitted into the ICU during the 5-year under review. The mean age was 61.8 with 51% being females and 52% having ischemic stroke. Seventy-five percent of the stroke patient had hospital acquired infection. Ventilator associated pneumonia accounted for 67.1% of infections, urinary tract infection was 22.8%, and blood stream infection 6.3% while 3.7% had infected decubitus ulcers. Microbial isolates were, Enterobacter sakazakii, accounting for 43.5%, Klebsiella pneumonia 13%, Escherichia coli 11.1%, and Proteus mirabilis 7.4% while 48% had Plasmodium falciparum infection. The micro-bacteria isolates were multi-antibiotics resistant, with the highest resistance for cotrimazole, cefuroxime and ceftazidime. The stroke patient in the ICU is susceptible to developing drug resistant hospital acquired infections, which could increase mortality. Ensuring minimal cases of ICU infection with continuous antimicrobial surveillance and robust antibiotics policy should be the goal.


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