scholarly journals Multidrug-Resistant Pseudomonas aeruginosa: Risk Factors and Clinical Impact

2006 ◽  
Vol 50 (1) ◽  
pp. 43-48 ◽  
Author(s):  
Valerie Aloush ◽  
Shiri Navon-Venezia ◽  
Yardena Seigman-Igra ◽  
Shaltiel Cabili ◽  
Yehuda Carmeli
Keyword(s):  
Risk Factors ◽  
Pseudomonas Aeruginosa ◽  
Intensive Care ◽  
Hospital Stay ◽  
Clinical Outcomes ◽  
Protective Factor ◽  
Multidrug Resistant ◽  
Clinical Impact ◽  
Individual Risk ◽  
Individual Risk Factors

ABSTRACT Pseudomonas aeruginosa, a leading nosocomial pathogen, may become multidrug resistant (MDR). Its rate of occurrence, the individual risk factors among affected patients, and the clinical impact of infection are undetermined. We conducted an epidemiologic evaluation and molecular typing using pulsed-field gel electrophoresis (PFGE) of 36 isolates for 82 patients with MDR P. aeruginosa and 82 controls matched by ward, length of hospital stay, and calendar time. A matched case-control study identified individual risk factors for having MDR P. aeruginosa, and a retrospective matched-cohort study examined clinical outcomes of such infections. The 36 isolates belonged to 12 PFGE clones. Two clones dominated, with one originating in an intensive care unit (ICU). Cases and controls had similar demographic characteristics and numbers of comorbid conditions. A multivariate model identified ICU stay, being bedridden, having high invasive devices scores, and being treated with broad-spectrum cephalosporins and with aminoglycosides as significant risk factors for isolating MDR P. aeruginosa. Having a malignant disease was a protective factor (odds ratio [OR] = 0.2; P = 0.03). MDR P. aeruginosa was associated with severe outcomes compared to controls, including increased mortality (OR = 4.4; P = 0.04), hospital stay (hazard ratio, 2; P = 0.001), and requirement for procedures (OR = 5.4; P = 0.001). The survivors functioned more poorly at discharge than the controls, and more of the survivors were discharged to rehabilitation centers or chronic care facilities. The epidemiology of MDR P. aeruginosa is complex. Critically ill patients that require intensive care and are treated with multiple antibiotic agents are at high risk. MDR P. aeruginosa infections are associated with severe adverse clinical outcomes.

scholarly journals Prediction of 90-day mortality among sepsis patients based on a nomogram integrating diverse clinical indices

2021 ◽  
Author(s):  
Qing-Bo Zeng ◽  
Long-Ping He ◽  
Nian-Qing Zhang ◽  
Qing-Wei Lin ◽  
Lin-Cui Zhong ◽  
...  
Keyword(s):  
Risk Factors ◽  
Intensive Care ◽  
Validation Cohort ◽  
International Normalized Ratio ◽  
Curve Analysis ◽  
Individual Risk ◽  
Decision Curve Analysis ◽  
Training Cohort ◽  
Receiver Operating Characteristic Curves ◽  
Individual Risk Factors

Abstract Background Sepsis is prevalent among intensive care units and is a frequent cause of death. Several studies have identified individual risk factors or potential predictors of sepsis-associated mortality, without defining an integrated predictive model. The present work aimed to define a nomogram for reliably predicting mortality. Methods We carried out a retrospective, single-center study based on 231 patients with sepsis who were admitted to our intensive care unit between May 2018 and October 2020. Patients were randomly split into training and validation cohorts. In the training cohort, multivariate logistic regression and a stepwise algorithm were performed to identify risk factors, which were then integrated into a predictive nomogram. Nomogram performance was assessed against the training and validation cohorts based on the area under receiver operating characteristic curves (AUC), calibration plots and decision curve analysis. Results Among the 161 patients in the training cohort and 70 patients in the validation cohort, 90-day mortality was 31.6%. Older age and higher values for the international normalized ratio, lactate level, and thrombomodulin level were associated with greater risk of 90-day mortality. The nomogram showed an AUC of 0.810 (95% CI 0.739 to 0.881) in the training cohort and 0.813 (95% CI 0.708 to 0.917) in the validation cohort. The nomogram also performed well based on the calibration curve and decision curve analysis. Conclusion This nomogram may help identify sepsis patients at elevated risk of 90-day mortality, which may help clinicians allocate resources appropriately to improve patient outcomes.

scholarly journals Risk factors for Clostridioides difficile infection and colonization among patients admitted to an intensive care unit in Shanghai, China

2019 ◽  
Author(s):  
Yingchao Cui ◽  
Danfeng Dong ◽  
Lihua Zhang ◽  
Daosheng Wang ◽  
Cen Jiang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Intensive Care Unit ◽  
Intensive Care ◽  
Hospital Stay ◽  
Large Scale ◽  
Protective Factor ◽  
Epidemic Clone ◽  
Clostridioides Difficile ◽  
And Control ◽  
Epidemiological Characteristics

Abstract Background: Clostridioides difficile is considered the main pathogen responsible for hospital-acquired infections. This prospective study determined the prevalence, molecular epidemiological characteristics, and risk factors for C. difficile infection (CDI) and C. difficile colonization (CDC) among patients in the intensive care unit (ICU) of a large-scale tertiary hospital in China, with the aim of providing strategies for efficient CDI and CDC prevention and control. Methods: Stool samples were collected and anaerobically cultured for C. difficile detection. The identified isolates were examined for toxin genes and subjected to multilocus sequence typing. Patients were classified into CDI, CDC, and control groups, and their medical records were analyzed to determine the risk factors for CDI and CDC. Results: Of the 800 patients included in the study, 33 (4.12%) and 25 (3.12%) were identified to have CDI and CDC, respectively. Associations with CDI were found for fever (OR=13.993), metabolic disorder (OR=7.972), and treatment with fluoroquinolone (OR=42.696) or combined antibiotics (OR=2.856). CDC patients were characterized by prolonged hospital stay (OR=1.137), increased number of comorbidities (OR=36.509), respiratory diseases (OR=0.043), and treatment with vancomycin (OR=18.168). Notably, treatment with metronidazole was found to be a protective factor in both groups (CDI: OR=0.042; CDC: OR=0.013). Eighteen sequence types (STs) were identified. In the CDI group, the isolated strains were predominantly toxin A and toxin B positive (A+B+) and the epidemic clone was genotype ST2. In the CDC group, the dominant strains were A+B+ and the epidemic clone was ST81. Conclusions: The prevalences of CDC and CDI in our ICU were relatively high, suggesting the importance of routine screening for acquisition of C. difficile . Future prevention and treatment strategies for CDC and CDI should consider hospital stay, enteral nutrition, underlying comorbidities, and use of combined antibiotics. Moreover, metronidazole may be a protective factor for both CDI and CDC, and could be used empirically.

Population genetics of venous thromboembolism

2011 ◽  
Vol 105 (02) ◽  
pp. 221-231 ◽  
Author(s):  
Elvira Grandone ◽  
Maurizio Margaglione
Keyword(s):  
Risk Factors ◽  
Venous Thromboembolism ◽  
Protective Factor ◽  
Disease Susceptibility ◽  
Risk Profile ◽  
Individual Risk ◽  
Socioeconomic Differences ◽  
Genetic Studies ◽  
Individual Risk Factors ◽  
Insight Into

SummaryResults from epidemological studies are consistent with the hypothesis that disparities in venous thromboembolism (VTE) burden are attributable to differences in genetic structure among populations from different genetic backgrounds. To that end, recent genetic studies have demonstrated not only potential associations between certain alleles and VTE but also clear differences in the distribution of these alleles in patients stratified by ancestry. There are a number of notable clinical and pathophysiological questions that arise from these findings. First at all is defining the precise variant(s) that alter disease susceptibility. The comparatively lower rates of VTE recorded among Asians would imply that risk profile is devoid of many risk factors on comparison to Caucasian or African counterparts or that a putative protective factor is advocated in the former population. Identification of these variants provided specific insight into VTE disease in selected populations and also shed lights on the biology of the disease. The association observed between ancestry and VTE is likely to be multifactorial, possibly reflecting, in addition to genetic variation, also socioeconomic differences. Acknowledgment of this may provide useful information in biomedical contexts and help to identify individual risk factors for VTE.

scholarly journals Risk factors for Clostridioides difficile infection and colonization among patients admitted to an intensive care unit in Shanghai, China

2019 ◽  
Author(s):  
Yingchao Cui ◽  
Danfeng Dong ◽  
Lihua Zhang ◽  
Daosheng Wang ◽  
Cen Jiang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Intensive Care Unit ◽  
Intensive Care ◽  
Hospital Stay ◽  
Large Scale ◽  
Protective Factor ◽  
Epidemic Clone ◽  
Clostridioides Difficile ◽  
And Control ◽  
Epidemiological Characteristics

Abstract Background: Clostridioides difficile is considered the main pathogen responsible for hospital-acquired infections. This prospective study determined the prevalence, molecular epidemiological characteristics, and risk factors for C. difficile infection (CDI) and C. difficile colonization (CDC) among patients in the intensive care unit (ICU) of a large-scale tertiary hospital in China, with the aim of providing strategies for efficient CDI and CDC prevention and control. Methods: Stool samples were collected and anaerobically cultured for C. difficile detection. The identified isolates were examined for toxin genes and subjected to multilocus sequence typing. Patients were classified into CDI, CDC, and control groups, and their medical records were analyzed to determine the risk factors for CDI and CDC. Results: Of the 800 patients included in the study, 33 (4.12%) and 25 (3.12%) were identified to have CDI and CDC, respectively. Associations with CDI were found for fever (OR=13.993), metabolic disorder (OR=7.972), and treatment with fluoroquinolone (OR=42.696) or combined antibiotics (OR=2.856). CDC patients were characterized by prolonged hospital stay (OR=1.137), increased number of comorbidities (OR=36.509), respiratory diseases (OR=0.043), and treatment with vancomycin (OR=18.168). Notably, treatment with metronidazole was found to be a protective factor in both groups (CDI: OR=0.042; CDC: OR=0.013). Eighteen sequence types (STs) were identified. In the CDI group, the isolated strains were predominantly toxin A and toxin B positive (A+B+) and the epidemic clone was genotype ST2. In the CDC group, the dominant strains were A+B+ and the epidemic clone was ST81. Conclusions: The prevalences of CDC and CDI in our ICU were relatively high, suggesting the importance of routine screening for acquisition of C. difficile . Future prevention and treatment strategies for CDC and CDI should consider hospital stay, enteral nutrition, underlying comorbidities, and use of combined antibiotics. Moreover, metronidazole may be a protective factor for both CDI and CDC, and could be used empirically.

scholarly journals Risk factors for Clostridioides difficile infection and colonization among patients admitted to an intensive care unit in Shanghai, China

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Yingchao Cui ◽  
Danfeng Dong ◽  
Lihua Zhang ◽  
Daosheng Wang ◽  
Cen Jiang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Intensive Care Unit ◽  
Intensive Care ◽  
Hospital Stay ◽  
Large Scale ◽  
Protective Factor ◽  
Epidemic Clone ◽  
Clostridioides Difficile ◽  
And Control ◽  
Epidemiological Characteristics

Abstract Background Clostridioides difficile is considered the main pathogen responsible for hospital-acquired infections. This prospective study determined the prevalence, molecular epidemiological characteristics, and risk factors for C. difficile infection (CDI) and C. difficile colonization (CDC) among patients in the intensive care unit (ICU) of a large-scale tertiary hospital in China, with the aim of providing strategies for efficient CDI and CDC prevention and control. Methods Stool samples were collected and anaerobically cultured for C. difficile detection. The identified isolates were examined for toxin genes and subjected to multilocus sequence typing. Patients were classified into CDI, CDC, and control groups, and their medical records were analyzed to determine the risk factors for CDI and CDC. Results Of the 800 patients included in the study, 33 (4.12%) and 25 (3.12%) were identified to have CDI and CDC, respectively. Associations with CDI were found for fever (OR = 13.993), metabolic disorder (OR = 7.972), and treatment with fluoroquinolone (OR = 42.696) or combined antibiotics (OR = 2.856). CDC patients were characterized by prolonged hospital stay (OR = 1.137), increased number of comorbidities (OR = 36.509), respiratory diseases (OR = 0.043), and treatment with vancomycin (OR = 18.168). Notably, treatment with metronidazole was found to be a protective factor in both groups (CDI: OR = 0.042; CDC: OR = 0.013). Eighteen sequence types (STs) were identified. In the CDI group, the isolated strains were predominantly toxin A and toxin B positive (A + B+) and the epidemic clone was genotype ST2. In the CDC group, the dominant strains were A + B+ and the epidemic clone was ST81. Conclusions The prevalences of CDC and CDI in our ICU were relatively high, suggesting the importance of routine screening for acquisition of C. difficile. Future prevention and treatment strategies for CDC and CDI should consider hospital stay, enteral nutrition, underlying comorbidities, and use of combined antibiotics. Moreover, metronidazole may be a protective factor for both CDI and CDC, and could be used empirically.

scholarly journals Prediction of 90-Day Mortality among Sepsis Patients Based on a Nomogram Integrating Diverse Clinical Indices

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Qingbo Zeng ◽  
Longping He ◽  
Nianqing Zhang ◽  
Qingwei Lin ◽  
Lincui Zhong ◽  
...  
Keyword(s):  
Risk Factors ◽  
Intensive Care ◽  
Validation Cohort ◽  
International Normalized Ratio ◽  
Curve Analysis ◽  
Individual Risk ◽  
Decision Curve Analysis ◽  
Training Cohort ◽  
Receiver Operating Characteristic Curves ◽  
Individual Risk Factors

Background. Sepsis is prevalent among intensive care units and is a frequent cause of death. Several studies have identified individual risk factors or potential predictors of sepsis-associated mortality, without defining an integrated predictive model. The present work was aimed at defining a nomogram for reliably predicting mortality. Methods. We carried out a retrospective, single-center study based on 231 patients with sepsis who were admitted to our intensive care unit between May 2018 and October 2020. Patients were randomly split into training and validation cohorts. In the training cohort, multivariate logistic regression and a stepwise algorithm were performed to identify risk factors, which were then integrated into a predictive nomogram. Nomogram performance was assessed against the training and validation cohorts based on the area under receiver operating characteristic curves (AUC), calibration plots, and decision curve analysis. Results. Among the 161 patients in the training cohort and 70 patients in the validation cohort, 90-day mortality was 31.6%. Older age and higher values for the international normalized ratio, lactate level, and thrombomodulin level were associated with greater risk of 90-day mortality. The nomogram showed an AUC of 0.810 (95% CI 0.739 to 0.881) in the training cohort and 0.813 (95% CI 0.708 to 0.917) in the validation cohort. The nomogram also performed well based on the calibration curve and decision curve analysis. Conclusion. This nomogram may help identify sepsis patients at elevated risk of 90-day mortality, which may help clinicians allocate resources appropriately to improve patient outcomes.

A Model for Analyzing Suicide Prevention

Crisis ◽  
2000 ◽  
Vol 21 (2) ◽  
pp. 80-89 ◽  
Author(s):  
Maila Upanne
Keyword(s):  
Risk Factors ◽  
Theoretical Model ◽  
Protective Factors ◽  
Suicide Prevention ◽  
Suicide Risk ◽  
Practical Work ◽  
Individual Risk ◽  
Self Assessment ◽  
Prevention Project ◽  
Individual Risk Factors

This study monitored the evolution of psychologists' (n = 31) conceptions of suicide prevention over the 9-year course of the National Suicide Prevention Project in Finland and assessed the feasibility of the theoretical model for analyzing suicide prevention developed in earlier studies [ Upanne, 1999a , b ]. The study was formulated as a retrospective self-assessment where participants compared their earlier descriptions of suicide prevention with their current views. The changes in conceptions were analyzed and interpreted using both the model and the explanations given by the subjects themselves. The analysis proved the model to be a useful framework for revealing the essential features of prevention. The results showed that the freely-formulated ideas on prevention were more comprehensive than those evolved in practical work. Compared to the earlier findings, the conceptions among the group had shifted toward emphasizing a curative approach and the significance of individual risk factors. In particular, greater priority was focused on the acute suicide risk phase as a preventive target. Nonetheless, the overall structure of prevention ideology remained comprehensive and multifactorial, stressing multistage influencing. Promotive aims (protective factors) also remained part of the prevention paradigm. Practical working experiences enhanced the psychologists' sense of the difficulties of suicide prevention as well as their criticism and feeling of powerlessness.

scholarly journals Cardio-Metabolic Risk Factors in Scottish South Asian and Caucasian Youth

2021 ◽  
Vol 18 (9) ◽  
pp. 4667
Author(s):  
Meizi Wang ◽  
Jianhua Ying ◽  
Ukadike Chris Ugbolue ◽  
Duncan S. Buchan ◽  
Yaodong Gu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Waist Circumference ◽  
Body Mass ◽  
South Asian ◽  
Metabolic Risk Factors ◽  
Individual Risk ◽  
Metabolic Risk ◽  
Asian Adolescents ◽  
Individual Risk Factors

(1) Background: Scotland has one of the highest rates of obesity in the Western World, it is well established that poor weight profiles, and particularly abdominal obesity, is strongly associated with Type II diabetes and cardiovascular diseases. Whether these associations are apparent in ethnic population groups in Scotland is unclear. The purpose of this study was to examine the associations between different measures of fatness with clustered cardio metabolic risk factors between Scottish South Asian adolescents and Scottish Caucasian adolescents; (2) Methods: A sample of 208 Caucasian adolescents and 52 South Asian adolescents participated in this study. Stature, waist circumference, body mass index, blood pressure, physical activity, and cardiovascular disease (CVD) risk were measured; (3) Results: Significant, partial correlations in the South Asian cohort between body mass index (BMI) and individual risk factors were generally moderate. However, correlations between Waist circumference (WC) and individual risk factors were significant and strong. In the Caucasian cohort, a significant yet weak correlation between WC and total cholesterol (TG) was noted although no other associations were evident for either WC or BMI. Multiple regression analysis revealed that both BMI and WC were positively associated with CCR (p < 0.01) in the South Asian group and with the additional adjustment of either WC or BMI, the independent associations with clustered cardio-metabolic risk (CCR) remained significant (p < 0.005); (4) Conclusions: No positive relationships were found between BMI, WC, and CCR in the Caucasian group. Strong and significant associations between measures of fatness and metabolic risk were evident in Scottish South Asian adolescents.

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