Premorbid functional status as an outcome predictor in intensive care patients aged over 85 years

Abstract Background Poor premorbid functional status (PFS) is associated with mortality after intensive care unit (ICU) admission in patients aged 80 years or older. In the subgroup of very old ICU patients, the ability to recover from critical illness varies irrespective of age. To assess the predictive ability of PFS also among the patients aged 85 or older we set out the current study. Methods In this nationwide observational registry study based on the Finnish Intensive Care Consortium database, we analysed data of patients aged 85 years or over treated in ICUs between May 2012 and December 2015. We defined PFS as good for patients who had been independent in activities of daily living (ADL) and able to climb stairs and as poor for those who were dependent on help or unable to climb stairs. To assess patients’ functional outcome one year after ICU admission, we created a functional status score (FSS) based on how many out of five physical activities (getting out of bed, moving indoors, dressing, climbing stairs, and walking 400 m) the patient could manage. We also assessed the patients’ ability to return to their previous type of accommodation. Results Overall, 2037 (3.3% of all adult ICU patients) patients were 85 years old or older. The average age of the study population was 87 years. Data on PFS were available for 1446 (71.0%) patients (good for 48.8% and poor for 51.2%). The one-year mortalities of patients with good and those with poor PFS were 29.2% and 50.1%, respectively, p < 0.001. Poor PFS increased the probability of death within 12 months, adjusted odds ratio (OR), 2.15; 95% confidence interval (CI) 1.68–2.76, p < 0.001. For 69.5% of survivors, the FSS one year after ICU admission was unchanged or higher than their premorbid FSS and 84.2% of patients living at home before ICU admission still lived at home. Conclusions Poor PFS doubled the odds of death within one year. For most survivors, functional status was comparable to the premorbid status.

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One year after ICU admission for severe community-acquired pneumonia of bacterial, viral or unidentified etiology. What are the outcomes?

PLoS ONE ◽

10.1371/journal.pone.0243762 ◽

2020 ◽

Vol 15 (12) ◽

pp. e0243762

Author(s):

Frédéric Sangla ◽

David Legouis ◽

Pierre-Emmanuel Marti ◽

Sebastian D. Sgardello ◽

Amélie Brebion ◽

...

Keyword(s):

Home Care ◽

Functional Status ◽

Respiratory Virus ◽

Ventilatory Support ◽

Community Acquired Pneumonia ◽

Icu Patients ◽

Icu Admission ◽

One Year ◽

Virus Testing

Introduction Multiplex polymerase chain reaction (mPCR) for respiratory virus testing is increasingly used in community-acquired pneumonia (CAP), however data on one-year outcome in intensive care unit (ICU) patients with reference to the causative pathogen are scarce. Materials and methods We performed a single-center retrospective study in 123 ICU patients who had undergone respiratory virus testing for CAP by mPCR and with known one-year survival status. Functional status including dyspnea (mMRC score), autonomy (ADL Katz score) and need for new home-care ventilatory support was assessed at a one-year post-ICU follow-up. Mortality rates and functional status were compared in patients with CAP of a bacterial, viral or unidentified etiology one year after ICU admission. Results The bacterial, viral and unidentified groups included 19 (15.4%), 37 (30.1%), and 67 (54.5%) patients, respectively. In multivariate analysis, one-year mortality in the bacterial group was higher compared to the viral group (HR 2.92, 95% CI 1.71–7.28, p = 0.02) and tended to be higher compared to the unidentified etiology group (p = 0.06); but no difference was found between the viral and the unidentified etiology group (p = 0.43). In 64/83 one-year survivors with a post-ICU follow-up consultation, there were no differences in mMRC score, ADL Katz score and new home-care ventilatory support between the groups (p = 0.52, p = 0.37, p = 0.24, respectively). Severe dyspnea (mMRC score = 4 or death), severe autonomy deficiencies (ADL Katz score ≤ 2 or death), and major adverse respiratory events (new home-care ventilatory support or death) were observed in 52/104 (50.0%), 47/104 (45.2%), and 65/104 (62.5%) patients, respectively; with no difference between the bacterial, viral and unidentified group: p = 0.58, p = 0.06, p = 0.61, respectively. Conclusions CAP of bacterial origin had a poorer outcome than CAP of viral or unidentified origin. At one-year, impairment of functional status was frequently observed, with no difference according to the etiology.

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Prevalence of and risk factors for post-intensive care syndrome: Multicenter study of patients living at home after treatment in 12 Japanese intensive care units, SMAP-HoPe study

PLoS ONE ◽

10.1371/journal.pone.0252167 ◽

2021 ◽

Vol 16 (5) ◽

pp. e0252167

Author(s):

Takeshi Unoki ◽

Hideaki Sakuramoto ◽

Sakura Uemura ◽

Takahiro Tsujimoto ◽

Takako Yamaguchi ◽

...

Keyword(s):

Mental Health ◽

Intensive Care ◽

Depressive Symptoms ◽

Unplanned Admission ◽

Event Scale ◽

Icu Discharge ◽

One Year ◽

The Impact ◽

Post Intensive Care Syndrome ◽

At Home

Few studies have examined the epidemiology of post-intensive care syndrome in Japan. This study investigated the mental health and quality of life of patients living at home in Japan after intensive care unit (ICU) discharge. Additionally, we examined whether unplanned admission to the ICU was associated with more severe post-traumatic stress disorder (PTSD), anxiety, and depressive symptoms. An ambidirectional cohort study was conducted at 12 ICUs in Japan. Patients who stayed in the ICU for > 3 nights and were living at home for 1 year afterward were included. One year after ICU discharge, we retrospectively screened patients and performed a mail survey on a monthly basis, including the Impact of Event Scale—Revised (IER-S), the Hospital Anxiety Depression Scale (HADS), and the EuroQOL—5 Dimension (EQ-5D-L) questionnaires. Patients’ characteristics, delirium and coma status, drugs used, and ICU and hospital length of stay were assessed from medical records. Descriptive statistics and multilevel linear regression modeling were used to examine our hypothesis. Among 7,030 discharged patients, 854 patients were surveyed by mail. Of these, 778 patients responded (response rate = 91.1%). The data from 754 patients were analyzed. The median IES-R score was 3 (interquartile range [IQR] = 1‒9), and the prevalence of suspected PTSD was 6.0%. The median HADS anxiety score was 4.00 (IQR = 1.17‒6.00), and the prevalence of anxiety was 16.6%. The median HADS depression score was 5 (IQR = 2‒8), and the prevalence of depression was 28.1%. EQ-5D-L scores were lower in our participants than in the sex- and age-matched Japanese population. Unplanned admission was an independent risk factor for more severe PTSD, anxiety, and depressive symptoms. Approximately one-third of patients in the general ICU population experienced mental health issues one year after ICU discharge. Unplanned admission was an independent predictor for more severe PTSD symptoms.

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Clinical diagnoses vs. autopsy findings in early deceased septic patients in the intensive care: a retrospective cohort study

Virchows Archiv ◽

10.1007/s00428-020-02984-5 ◽

2020 ◽

Author(s):

Rob G. H. Driessen ◽

Bartholomeus G. H. Latten ◽

Dennis C. J. J. Bergmans ◽

Riquette P. M. G. Hulsewe ◽

Johanna W. M. Holtkamp ◽

...

Keyword(s):

Intensive Care ◽

Clinical Diagnosis ◽

Causes Of Death ◽

Early Death ◽

Class I ◽

Icu Patients ◽

Icu Admission ◽

Clinical Diagnoses ◽

Important Diagnostic Tool ◽

Record Review

AbstractEarly death in sepsis occurs frequently; however, specific causes are largely unknown. An autopsy can contribute to ascertain causes of death. The objective of the study was to determine discrepancies in clinical diagnosis and postmortem findings in septic intensive care unit (ICU) patients deceased within 48 h after ICU admission. All septic ICU patients who deceased within 48 h after ICU admission were identified and included. Four intensivists determined the clinical cause of death by medical record review. An autopsy was performed within 24 h of death. Clinical diagnosis and postmortem findings were compared and classified as autopsy-identified missed clinical diagnoses and autopsy-refuted diagnoses. Class I and II missed major diagnoses using the Goldman criteria were scored. Between 2012 and 2017, 1107 septic patients were admitted to ICU. Of these, 344 patients (31%) died, of which 97 patients (28%) deceased within 48 h. In 32 (33%) early deceased patients, an autopsy was agreed. There were 26 autopsy-identified missed clinical diagnoses found, mostly myocardial infarction (n = 4) and pneumonia (n = 4). In four patients (13%), a class I discrepancy was found. In fourteen patients (42%), a class II discrepancy was found. In conclusion, an autopsy is an important diagnostic tool that can identify definite causes of death. These diagnoses deviate from diagnoses established during admission in early deceased sepsis patients.

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Intensive Care Admissions and Associated Severity of Influenza B Versus A During Influenza B Vaccine–mismatched Seasons

Clinical Infectious Diseases ◽

10.1093/cid/ciz053 ◽

2019 ◽

Vol 69 (6) ◽

pp. 1049-1052 ◽

Cited By ~ 6

Author(s):

Maya Korem ◽

Efrat Orenbuch-Harroch ◽

Eli Ben-Chetrit ◽

Sarah Israel ◽

Matan J Cohen ◽

...

Keyword(s):

Intensive Care Unit ◽

Intensive Care ◽

Disease Severity ◽

Influenza B ◽

Icu Patients ◽

Icu Admission ◽

Severe Influenza ◽

Trivalent Vaccine ◽

Quadrivalent Vaccines

Abstract Patients admitted to hospital with influenza B and A in Jerusalem, Israel, during the 2015–2016 and 2017–2018 influenza seasons demonstrated similar rates of intensive care unit (ICU) admission and associated disease severity. Most (63%) influenza B ICU patients received influenza B–mismatched trivalent vaccine. These findings call into question the equivalence of trivalent and quadrivalent vaccines in preventing severe influenza B.

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NT-ProBNP Predicts Total Mortality, Emergency Department Visits, Hospitalization, Intensive-Care Unit Admission, and Cardiovascular Events in Hemodialysis Patients

Journal of Clinical Medicine ◽

10.3390/jcm8020238 ◽

2019 ◽

Vol 8 (2) ◽

pp. 238

Author(s):

Yi-Hsin Chen ◽

Yun-Ching Fu ◽

Ming-Ju Wu

Keyword(s):

Intensive Care Unit ◽

Emergency Department ◽

Intensive Care ◽

Cardiovascular Events ◽

Predictive Ability ◽

Hemodialysis Patients ◽

Emergency Department Visits ◽

Time Dependent ◽

Icu Admission ◽

Ed Visits

N-terminal pro b-type natriuretic peptide (NT-proBNP) was considered a prognostic factor for mortality in hemodialysis patients in previous studies. However, NT-proBNP has not been fully explored in terms of predicting other clinical outcomes in hemodialysis patients. This study aimed to investigate if NT-proBNP could predict emergency department (ED) visits, hospitalization, admission to intensive-care unit (ICU), and cardiovascular incidents in hemodialysis patients. Serum NT-proBNP and other indicators were collected in 232 hemodialysis patients. Patients were followed up for three years or until mortality. Outcomes included mortality, number of ED visits, hospitalizations, admissions to ICU, and cardiovascular events. NT-proBNP was found to predict recurrent ER visits, hospitalization, admission to ICU, cardiovascular events, and mortality, after adjusting for covariates. Time-dependent area under the curve (AUC) was used to evaluate the NT-proBNP predicting ability. Using time-dependent AUC, NT-proBNP has good predictive ability for mortality, ED visit, hospitalization, ICU admission, and cardiovascular events with the best predictive ability occurring at approximately 1 year, and 5th, 62nd, 63rd, and 63rd days respectively. AUC values for predicting mortality, hospitalization, and ICU admission decreased significantly after one year. NT-proBNP can be applied in predicting ED visits but is only suitable for the short-term. NT-proBNP may be used for predicting mortality in the long term.

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Intensive Care Outcomes of Patients after High Dose Chemotherapy and Subsequent Autologous Stem Cell Transplantation: A Retrospective, Single Centre Analysis

Cancers ◽

10.3390/cancers12061678 ◽

2020 ◽

Vol 12 (6) ◽

pp. 1678

Author(s):

Panagiotis Karagiannis ◽

Lena Sänger ◽

Winfried Alsdorf ◽

Katja Weisel ◽

Walter Fiedler ◽

...

Keyword(s):

Stem Cell ◽

Intensive Care ◽

Stem Cell Transplantation ◽

Cell Transplantation ◽

High Dose Chemotherapy ◽

High Dose ◽

Icu Admission ◽

One Year ◽

Treatment Related Mortality ◽

Related Mortality

High dose chemotherapy (HDT) followed by autologous peripheral blood stem cell transplantation (ASCT) is standard of care including a curative treatment option for several cancers. While much is known about the management of patients with allogenic SCT at the intensive care unit (ICU), data regarding incidence, clinical impact, and outcome of critical illness following ASCT are less reported. This study included 256 patients with different cancer entities. Median age was 56 years (interquartile ranges (IQR): 45–64), and 67% were male. One-year survival was 89%; 15 patients (6%) required treatment at the ICU following HDT. The main reason for ICU admission was septic shock (80%) with the predominant focus being the respiratory tract (53%). Three patients died, twelve recovered, and six (40%) were alive at one-year, resulting in an immediate treatment-related mortality of 1.2%. Independent risk factors for ICU admission were age (odds ratio (OR) 1.05; 95% confidence interval (CI) 1.00–1.09; p = 0.043), duration of aplasia (OR: 1.37; CI: 1.07–1.75; p = 0.013), and Charlson comorbidity score (OR: 1.64; CI: 1.20–2.23; p = 0.002). HDT followed by ASCT performed at an experienced centre is generally associated with a low risk for treatment related mortality. ICU treatment is warranted mainly due to infectious complications and has a strong positive impact on intermediate-term survival.

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Factors Associated with Risk and Prognosis of Intensive Care Unit Admission in Patients with Acute Myeloid Leukemia: A Danish Nationwide Cohort Study

Blood ◽

10.1182/blood-2019-123254 ◽

2019 ◽

Vol 134 (Supplement_1) ◽

pp. 4783-4783

Author(s):

Cecilie Velsoe Maeng ◽

Christian Fynbo Christiansen ◽

Kathleen Dori Liu ◽

Lene Sofie Granfeldt Oestgaard

Keyword(s):

Intensive Care ◽

High Risk ◽

Myeloid Leukemia ◽

Risk Group ◽

Remission Induction ◽

First Year ◽

Icu Patients ◽

Icu Admission ◽

Increased Risk ◽

Acute Myeloid

Significance Patients with acute myeloid leukemia (AML) are at high risk of critical illness requiring admission to the intensive care unit (ICU) due to both disease- and treatment-related complications. A better understanding of risk factors for ICU admission and prognosis may help with prevention of life-threatening complications and informed decision-making when treating AML patients. Methods This study included all adult Danish AML patients, who received remission-induction chemotherapy alone or in combination with allogeneic stem cell transplantation from 2005 to 2016. The cohort was identified using the Danish Acute Leukemia Registry (DNLR) and information on ICU admission was obtained from the Danish Intensive Care Database. We examined risk of ICU admission within 1 and 3 years of diagnosis considering competing risk of death and investigated a number of possible risk factors for ICU admission. We computed 1-, 3-, and 5-year mortality from time of ICU admission and in the matched non-ICU comparison group using a risk set matching (1:1) on time since diagnosis, sex, and age. Finally, we used the pseudo-value approach to compute the relative risk (RR) of death in the ICU admitted cohort compared to the matched cohort. We adjusted for ECOG/WHO performance status (PS), year of diagnosis, cytogenetic risk group, number of comorbidities, and secondary/therapy-related AML. Results A total of 1383 AML patients were included in the study. The median follow-up time was 1.65 (IQR: 0.60-4.36) years. The risk of ICU admission within 1 year of AML diagnosis was 22.7%, and the risk within 3 years was 28.1%. Median time to ICU was 59 (IQR: 15-272) days. Male sex was associated with increased risk of ICU admission after 1 year (adjusted RR: 1.26, 95% CI: 1.01-1.57) and PS >1 was associated with an increased risk after both 1 year (adjusted RR: 1.74, 95% CI: 1.33-1.30) and 3 years (adjusted RR: 1.54, 95% CI: 1.22-1.96). Other factors listed in Table 1 (age, comorbidity, cytogenetic risk group, secondary or therapy-related AML, and year of diagnosis) were not associated with increased risk of ICU admission. In AML patients admitted to the ICU, the 1-year mortality from time of ICU admission was 69.2%, compared to a 1-year mortality rate of 31.0% in the matched non-ICU patients (adjusted RR: 3.25, 95% CI: 2.56-4.12). Long-term mortality was increased in ICU patients; 3-year mortality was 82.1% compared to 49.7% (adjusted RR: 2.43, 95% CI: 1.97-3.01), and the 5-year mortality was 83.1% compared to 60.6%, (adjusted RR: 2.12, 95% CI: 1.70-2.66). Conclusion In this national population-based cohort study, more than one fourth of AML patients treated with remission-induction chemotherapy were admitted to an ICU within 3 years of diagnosis with the majority of ICU admissions occurring within the first year. ICU admission was associated with high mortality, especially within the first year after admission. The risk of mortality decreased over time but remained increased 3 and 5 years after admission compared to the matched cohort. Early monitoring and management of high-risk patients may be effective in preventing ICU admissions and PS may serve as a possible tool to identify patients at high risk of ICU admission. Disclosures No relevant conflicts of interest to declare.

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The Use Of Platelet Transfusions In The Intensive Care Unit and Impact On Platelet Count: A 30,000 Patient Registry Study

Blood ◽

10.1182/blood.v122.21.1154.1154 ◽

2013 ◽

Vol 122 (21) ◽

pp. 1154-1154

Author(s):

Shuoyan Ning ◽

Rebecca Barty, MLT ◽

Yang Liu ◽

Nancy Heddle ◽

Donald Arnold

Keyword(s):

Intensive Care Unit ◽

Intensive Care ◽

Platelet Count ◽

Research Funding ◽

Platelet Transfusion ◽

Large Cohort ◽

Clinical Effects ◽

Icu Patients ◽

Icu Admission ◽

Platelet Transfusions

Abstract Background Thrombocytopenia is a common complication of critical illness and an independent risk factor for bleeding and death in the intensive care unit (ICU). Platelet transfusions are commonly used to improve platelet counts; however, the expected platelet increment from a transfusion in this setting has not been established. The objective of this study was to describe the frequency of platelet transfusion administration and their effect on platelet count increments in a large cohort of non-oncology critically ill adults. Methods We performed an analysis of a registry database, which was developed to capture clinical and laboratory data on all blood transfusions administered in 3 academic hospitals in Hamilton, Ontario, Canada. We included all patients ≥18 years who received one or more platelet transfusion during an ICU admission. Data validation was done by integrity checks with medical records and laboratory information system performed by a biostatistician. Non-transfused ICU patients were used as controls. The absolute increment in platelet count was calculated for each single platelet transfusion using the closest platelet count taken within 24 hours before the transfusion and 4-24 hours after the transfusion. Results Between April 2006 and October 2012, 33,222 patients were admitted to ICU, including 29,511 (88.8%) who did not have a diagnosis of cancer. Of those, 4,502 (15.3%) received one or more platelet transfusion during any ICU admission (n=4,690); 31.9% were female and median age at the time of first admission was 69 years (IQR 59-77). Among the 25,009 non-transfused patients admitted to ICU during the same period, 38.1% were female and the median age was 65 years (IQR 52–76). Median pre-transfusion platelet count was 87 x109/L (IQR 59-131) and a single platelet transfusion resulted in a median platelet count increment of 21 x109/L (IQR 6-40) as measured 6.7 hours (IQR 5.1-9.8) after the transfusion. There were 277 (25.4%) transfusions that yielded a platelet count increment of 5 x109/L or less. ICU mortality was 562/4,690 (12.4%) for patients who received a platelet transfusion, compared with 2,251/33,033(6.8%) for patients who were not transfused during their ICU stay. Summary/Conclusion Among this large cohort of non-oncology ICU patients, platelet transfusions were commonly administered for thrombocytopenia that was generally mild. In this setting one platelet transfusion resulted in a median platelet count rise of 21 x109/L. Many transfusion episodes yielded no appreciable increase in platelet count. Further studies are needed to determine the clinical effects of platelet transfusion in this setting controlling for confounding. Disclosures: Heddle: CIHR: Research Funding; Canadian Blood Services: Membership on an entity’s Board of Directors or advisory committees; Health Canada: Research Funding; Macopharma: Consultancy; ASH: Honoraria.

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Risk Factors Associated With Resistance to Ciprofloxacin in Clinical Bacterial Isolates From Intensive Care Unit Patients

Infection Control and Hospital Epidemiology ◽

10.1086/511701 ◽

2007 ◽

Vol 28 (3) ◽

pp. 331-336 ◽

Cited By ~ 10

Author(s):

Phillip D. Levin ◽

Robert A. Fowler ◽

Cameron Guest ◽

William J. Sibbald ◽

Alex Kiss ◽

...

Keyword(s):

Risk Factors ◽

Intensive Care Unit ◽

Intensive Care ◽

Prior Treatment ◽

Bacterial Isolates ◽

Icu Patients ◽

Gram Negative ◽

Factors Associated ◽

Icu Admission ◽

Ciprofloxacin Resistance

Objective.To determine risk factors and outcomes associated with ciprofloxacin resistance in clinical bacterial isolates from intensive care unit (ICU) patients.Design.Prospective cohort study.Setting.Twenty-bed medical-surgical ICU in a Canadian tertiary care teaching hospital.Patients.All patients admitted to the ICU with a stay of at least 72 hours between January 1 and December 31, 2003.Methods.Prospective surveillance to determine patient comorbidities, use of medical devices, nosocomial infections, use of antimicrobials, and outcomes. Characteristics of patients with a ciprofloxacin-resistant gram-negative bacterial organism were compared with characteristics of patients without these pathogens.Results.Ciprofloxacin-resistant organisms were recovered from 20 (6%) of 338 ICU patients, representing 38 (21%) of 178 nonduplicate isolates of gram-negative bacilli. Forty-nine percent ofPseudomonas aeruginosaisolates and 29% ofEscherichia coliisolates were resistant to ciprofloxacin. In a multivariate analysis, independent risk factors associated with the recovery of a ciprofloxacin-resistant organism included duration of prior treatment with ciprofloxacin (relative risk [RR], 1.15 per day [95% confidence interval {CI}, 1.08-1.23];P< .001), duration of prior treatment with levofloxacin (RR, 1.39 per day [95% CI, 1.01-1.91];P= .04), and length of hospital stay prior to ICU admission (RR, 1.02 per day [95% CI, 1.01-1.03];P= .005). Neither ICU mortality (15% of patients with a ciprofloxacin-resistant isolate vs 23% of patients with a ciprofloxacin-susceptible isolate;P= .58 ) nor in-hospital mortality (30% vs 34%;P= .81 ) were statistically significantly associated with ciprofloxacin resistance.Conclusions.ICU patients are at risk of developing infections due to ciprofloxacin-resistant organisms. Variables associated with ciprofloxacin resistance include prior use of fluoroquinolones and duration of hospitalization prior to ICU admission. Recognition of these risk factors may influence antibiotic treatment decisions.

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Staphylococcus aureusNasal Colonization and Subsequent Infection in Intensive Care Unit Patients: Does Methicillin Resistance Matter?

Infection Control and Hospital Epidemiology ◽

10.1086/652530 ◽

2010 ◽

Vol 31 (6) ◽

pp. 584-591 ◽

Cited By ~ 72

Author(s):

Hitoshi Honda ◽

Melissa J. Krauss ◽

Craig M. Coopersmith ◽

Marin H. Kollef ◽

Amy M. Richmond ◽

...

Keyword(s):

Risk Factors ◽

Intensive Care Unit ◽

Intensive Care ◽

Confidence Interval ◽

Methicillin Resistance ◽

Hazard Ratio ◽

Adjusted Hazard Ratio ◽

Patient Specific ◽

Icu Patients ◽

Icu Admission

Background.Staphylococcus aureusis an important cause of infection in intensive care unit (ICU) patients. Colonization with methicillin-resistantS. aureus(MRSA) is a risk factor for subsequentS. aureusinfection. However, MRSA-colonized patients may have more comorbidities than methicillin-susceptibleS. aureus(MSSA)-colonized or noncolonized patients and therefore may be more susceptible to infection on that basis.Objective.To determine whether MRSA-colonized patients who are admitted to medical and surgical ICUs are more likely to develop anyS. aureusinfection in the ICU, compared with patients colonized with MSSA or not colonized withS. aureus,independent of predisposing patient risk factors.Design.Prospective cohort study.Setting.A 24-bed surgical ICU and a 19-bed medical ICU of a 1,252-bed, academic hospital.Patients.A total of 9,523 patients for whom nasal swab samples were cultured forS. aureusat ICU admission during the period from December 2002 through August 2007.Methods.Patients in the ICU for more than 48 hours were examined for an ICU-acquired S.aureusinfection, defined as development ofS. aureusinfection more than 48 hours after ICU admission.Results.S. aureuscolonization was present at admission for 1,433 (27.8%) of 5,161 patients (674 [47.0%] with MRSA and 759 [53.0%] with MSSA). An ICU-acquiredS. aureusinfection developed in 113 (2.19%) patients, of whom 75 (66.4%) had an infection due to MRSA. Risk factors associated with an ICU-acquiredS. aureusinfection included MRSA colonization at admission (adjusted hazard ratio, 4.70 [95% confidence interval, 3.07-7.21]) and MSSA colonization at admission (adjusted hazard ratio, 2.47 [95% confidence interval, 1.52-4.01]).Conclusion.ICU patients colonized with S.aureuswere at greater risk of developing aS. aureusinfection in the ICU. Even after adjusting for patient-specific risk factors, MRSA-colonized patients were more likely to developS. aureusinfection, compared with MSSA-colonized or noncolonized patients.

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