scholarly journals Ventilator-associated pneumonia in an adult clinical-surgical intensive care unit of a Brazilian university hospital: incidence, risk factors, etiology, and antibiotic resistance

2008 ◽  
Vol 12 (1) ◽  
pp. 80-85 ◽  
Author(s):  
Laura de Andrade da Rocha ◽  
Carolina Assis Pereira Vilela ◽  
Renata Cristina Cezário ◽  
Alair Benedito Almeida ◽  
Paulo Gontijo Filho
Keyword(s):  
Risk Factors ◽  
Intensive Care Unit ◽  
Antibiotic Resistance ◽  
Intensive Care ◽  
University Hospital ◽  
Surgical Intensive Care Unit ◽  
Ventilator Associated Pneumonia ◽  
Surgical Intensive Care ◽  
Incidence Risk

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

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

scholarly journals RISK FACTORS AND OUTCOMES OF NEW ONSET ARRHYTHMIA IN SURGICAL INTENSIVE CARE UNIT: A RETROSPECTIVE STUDY

2021 ◽  
Vol 71 (5) ◽  
pp. 1880-84
Author(s):  
Sadaf Hanif ◽  
Faisal Shamim ◽  
Muhammad Sohaib
Keyword(s):  
Risk Factors ◽  
Intensive Care Unit ◽  
Intensive Care ◽  
Intensive Care Unit Stay ◽  
Cardiac Arrhythmias ◽  
University Hospital ◽  
Surgical Intensive Care Unit ◽  
P Value ◽  
Surgical Intensive Care ◽  
New Onset

Objective: To assess the frequency of new-onset cardiac arrhythmias among patients admitted in surgical intensive care unit as well as associated risk factors. Study Design: Retrospective observational study. Place and Duration of Study: Surgical Intensive Care Unit, Aga Khan University Hospital, Karachi, from Jan 2018 to Dec 2019. Methodology: The medical record numbers of all patients admitted in surgical intensive care unit were obtained from Surgical intensive care unit case log entries and reviewed. Patients` and healthcare providers` identification were kept confidential. Data was analyzed using SPSS version 19. Results: Only 13/1076 patients included in the study had cardiac arrhythmias during their stay in Surgical intensive care unit. Among all patients with arrhythmias (n=13), atrial fibrillation was the most common type of arrhythmia 7 (53.8%). The study found higher occurrence of arrhythmias among the patients in the age category of 66 years or above 8 (4.6%) and when compared to younger patients with age categories 18-40 years 2 (0.3%) and 41-65 years 3 (0.3%) respectively (p-value<0.05). Similarly, arrhythmias were higher among patients who had relatively prolong intensive care unit stay and post-operative status as the primary cause of intensive care unit admission. Conclusion: Occurrence of cardiac arrhythmias is relatively low among patients admitted to surgical intensive care patient population. Patients age (>65 years), prolong intensive care unit stay, post-operative status are positively associated with development of cardiac arrhythmias among critically ill patients admitted in surgical intensive care unit.

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 Ventilator Associated Pneumonia in Pediatric Intensive Care Unit: Incidence, Risk Factors and Etiological Agents

2018 ◽  
Vol 85 (10) ◽  
pp. 861-866 ◽  
Author(s):  
Gnanaguru Vijay ◽  
Anirban Mandal ◽  
Jhuma Sankar ◽  
Arti Kapil ◽  
Rakesh Lodha ◽  
...  
Keyword(s):  
Risk Factors ◽  
Intensive Care Unit ◽  
Intensive Care ◽  
Pediatric Intensive Care Unit ◽  
Pediatric Intensive Care ◽  
Ventilator Associated Pneumonia ◽  
Incidence Risk ◽  
Etiological Agents

scholarly journals Comparison of Automated Strategies for Surveillance of Nosocomial Bacteremia

2007 ◽  
Vol 28 (9) ◽  
pp. 1030-1035 ◽  
Author(s):  
Cristina Bellini ◽  
Christiane Petignat ◽  
Patrick Francioli ◽  
Aline Wenger ◽  
Jacques Bille ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Clinical Data ◽  
University Hospital ◽  
Surgical Intensive Care Unit ◽  
Surgical Intensive Care ◽  
Automated Surveillance ◽  
Contaminated Blood ◽  
Hospital Acquired

Objective.Surveillance of nosocomial bloodstream infection (BSI) is recommended, but time-consuming. We explored strategies for automated surveillance.Methods.Cohort study. We prospectively processed microbiological and administrative patient data with computerized algorithms to identify contaminated blood cultures, community-acquired BSI, and hospital-acquired BSI and used algorithms to classify the latter on the basis of whether it was a catheter-associated infection. We compared the automatic classification with an assessment (71% prospective) of clinical data.Setting.An 850-bed university hospital.Participants.All adult patients admitted to general surgery, internal medicine, a medical intensive care unit, or a surgical intensive care unit over 3 years.Results.The results of the automated surveillance were 95% concordant with those of classical surveillance based on the assessment of clinical data in distinguishing contamination, community-acquired BSI, and hospital-acquired BSI in a random sample of 100 cases of bacteremia. The two methods were 74% concordant in classifying 351 consecutive episodes of nosocomial BSI with respect to whether the BSI was catheter-associated. Prolonged episodes of BSI, mostly fungemia, that were counted multiple times and incorrect classification of BSI clinically imputable to catheter infection accounted for 81% of the misclassifications in automated surveillance. By counting episodes of fungemia only once per hospital stay and by considering all cases of coagulase-negative staphylococcal BSI to be catheter-related, we improved concordance with clinical assessment to 82%. With these adjustments, automated surveillance for detection of catheter-related BSI had a sensitivity of 78% and a specificity of 93%; for detection of other types of nosocomial BSI, the sensitivity was 98% and the specificity was 69%.Conclusion.Automated strategies are convenient alternatives to manual surveillance of nosocomial BSI.

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