Risk factors for poor outcome in older patients admitted in a surgical intensive care unit

2021 ◽  
Author(s):  
Emilie Occhiali ◽  
Pierre Prolange ◽  
Florence Cassiau ◽  
Frédéric Roca ◽  
Benoit Veber ◽  
...  
Keyword(s):  
Risk Factors ◽  
Intensive Care Unit ◽  
Intensive Care ◽  
Older Patients ◽  
Surgical Intensive Care Unit ◽  
Surgical Intensive Care ◽  
Poor Outcome

RISK FACTORS FOR CANDIDEMIA: COMPARISON BETWEEN MEDICAL AND SURGICAL INTENSIVE CARE UNIT PATIENTS

CHEST Journal ◽  
2005 ◽  
Vol 128 (4) ◽  
pp. 379S
Author(s):  
Stephen B. Heitner ◽  
Glenn Eiger ◽  
Robert Fischer ◽  
Emma C. Scott ◽  
Aba Somers
Keyword(s):  
Risk Factors ◽  
Intensive Care Unit ◽  
Intensive Care ◽  
Surgical Intensive Care Unit ◽  
Surgical Intensive Care

scholarly journals Deep Venous Thrombosis in Surgical Intensive Care Unit: Prevalence and Risk Factors

2009 ◽  
Vol 32 (2) ◽  
pp. 85-88 ◽  
Author(s):  
Chumpon Wilasrusmee ◽  
Kidakorn Kiranantawat ◽  
Suthas Horsirimanont ◽  
Panuwat Lertsithichai ◽  
Pinmanee Reodecha ◽  
...  
Keyword(s):  
Risk Factors ◽  
Intensive Care Unit ◽  
Intensive Care ◽  
Venous Thrombosis ◽  
Deep Venous Thrombosis ◽  
Surgical Intensive Care Unit ◽  
Surgical Intensive Care

scholarly journals Readmission to a surgical intensive care unit: incidence, outcome and risk factors

Critical Care ◽  
2008 ◽  
Vol 12 (5) ◽  
pp. R123 ◽  
Author(s):  
Axel Kaben ◽  
Fabiano Corrêa ◽  
Konrad Reinhart ◽  
Utz Settmacher ◽  
Jan Gummert ◽  
...  
Keyword(s):  
Risk Factors ◽  
Intensive Care Unit ◽  
Intensive Care ◽  
Surgical Intensive Care Unit ◽  
Surgical Intensive Care

Epidemiologic, Clinical, and Economic Evaluation of an Outbreak of Clonal Multidrug-ResistantAcinetobacter baumanniiInfection in a Surgical Intensive Care Unit

2007 ◽  
Vol 28 (11) ◽  
pp. 1247-1254 ◽  
Author(s):  
Lisa S. Young ◽  
Allison L. Sabel ◽  
Connie S. Price
Keyword(s):  
Risk Factors ◽  
Intensive Care Unit ◽  
Intensive Care ◽  
Infection Control ◽  
Significant Risk ◽  
Surgical Intensive Care Unit ◽  
Surgical Intensive Care ◽  
Duration Of Hospitalization ◽  
Tract Infections ◽  
Pulsatile Lavage

Objectives.To determine risk factors for acquisition of multidrug-resistant (MDR)Acinetobacter baumanniiinfection during an outbreak, to describe the clinical manifestations of infection, and to ascertain the cost of infection.Design.Case-control study.Setting.Surgical intensive care unit in a 400-bed urban teaching hospital and level 1 trauma center.Patients.Case patients received a diagnosis of infection due toA. baumanniiisolates with a unique pattern of drug resistance (ie, susceptible to imipenem, variably susceptible to aminoglycosides, and resistant to all other antibiotics) between December 1, 2004, and August 31, 2005. Case patients were matched 1 : 1 with concurrently hospitalized control patients. Isolates' genetic relatedness was established by pulsed-field gel electrophoresis.Results.Sixty-seven patients met the inclusion criteria. Case and control patients were similar with respect to age, duration of hospitalization, and Charlson comorbidity score. MDRA. baumanniiinfections included ventilator-associated pneumonia (in 56.7% of patients), bacteremia (in 25.4%), postoperative wound infections (in 25.4%), central venous catheter-associated infections (in 20.9%), and urinary tract infections (in 10.4%). Conditional multiple logistic regression was used to determine statistically significant risk factors on the basis of results from the bivariate analyses. The duration of hospitalization and healthcare charges were modeled by multiple linear regression. Significant risk factors included higher Acute Physiology and Chronic Health Evaluation II score (odds ratio [OR], 1.1 per point increase;P= .06), duration of intubation (OR, 1.4 per day intubated;P<.01), exposure to bronchoscopy (OR, 22.7;P= .03), presence of chronic pulmonary disease (OR, 77.7;P= .02), receipt of fluconazole (OR, 73.3;P<.01), and receipt of levofloxacin (OR, 11.5;P= .02). Case patients had a mean of $60,913 in attributable excess patient charges and a mean of 13 excess hospital days.Interventions.Infection control measures included the following: limitations on the performance of pulsatile lavage wound debridement, the removal of items with upholstered surfaces, and the implementation of contact isolation for patients with suspected MDRA. baumanniiinfection.Conclusions.This large outbreak of infection due to clonal MDRA. baumanniicaused significant morbidity and expense. Aerosolization of MDRA. baumanniiduring pulsatile lavage debridement of infected wounds and during the management of respiratory secretions from colonized and infected patients may promote widespread environmental contamination. Multifaceted infection control interventions were associated with a decrease in the number of MDRA. baumanniiisolates recovered from patients.

scholarly journals Catheter-associated urinary tract infection in a surgical intensive care unit

2015 ◽  
Vol 72 (10) ◽  
pp. 883-888 ◽  
Author(s):  
Jovan Mladenovic ◽  
Milic Veljovic ◽  
Ivo Udovicic ◽  
Srdjan Lazic ◽  
Zeljko Jadranin ◽  
...  
Keyword(s):  
Risk Factors ◽  
Intensive Care Unit ◽  
Urinary Tract Infection ◽  
Intensive Care ◽  
Urinary Tract ◽  
Tract Infection ◽  
Nosocomial Infections ◽  
Surgical Intensive Care Unit ◽  
Control Group ◽  
Surgical Intensive Care

Background/Aim. Because patients in intensive care units usually have an urinary catheter, the risk of urinary tract infection for these patients is higher than in other patients. The aim of this study was to identify risk factors and causative microrganisms in patients with catheter-associated urinary tract infection (CAUTI) in the Surgical Intensive Care Unit (SICU) during a 6-year period. Methods. All data were collected during prospective surveillance conducted from 2006 to 2011 in the SICU, Military Medical Academy, Belgrade, Serbia. This case control study was performed in patients with nosocomial infections recorded during surveillance. The cases with CAUTIs were identified using the definition of the Center for Disease Control and Prevention. The control group consisted of patients with other nosocomial infections who did not fulfill criteria for CAUTIs according to case definition. Results. We surveyed 1,369 patients representing 13,761 patient days. There were a total of 226 patients with nosocomial infections in the SICU. Of these patients, 64 had CAUTIs as defined in this study, and 162 met the criteria for the control group. Multivariate logistic regression analysis identified two risk factors independently associated to CAUTIs: the duration of having an indwelling catheter (OR = 1.014; 95% CI 1.005-1.024; p = 0.003) and female gender (OR = 2.377; 95%CI 1.278-4.421; p = 0.006). Overall 71 pathogens were isolated from the urine culture of 64 patients with CAUTIs. Candida spp. (28.2%), Pseudomonas aeruginosa (18.3%) and Klebsiella spp. (15.5%) were the most frequently isolated microorganisms. Conclusions. The risk factors and causative microrganisms considering CAUTIs in the SICU must be considered in of planning CAUTIs prevention in this setting.

Risk Factors for Ventilator-Associated Pneumonia in Surgical Intensive-Care-Unit Patients

1996 ◽  
Vol 17 (6) ◽  
pp. 374-376 ◽  
Author(s):  
Consuelo M. Beck-Sague ◽  
Ronda L. Sinkowitz ◽  
Raymond Y. Chinn ◽  
Judy Vargo ◽  
Wendy Kaler ◽  
...  
Keyword(s):  
Risk Factors ◽  
Intensive Care Unit ◽  
Intensive Care ◽  
Surgical Intensive Care Unit ◽  
Ventilator Associated Pneumonia ◽  
Surgical Intensive Care
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