Prolongation of hospital stay and extra costs due to ventilator-associated pneumonia in an intensive care unit

1992 ◽  
Vol 11 (6) ◽  
pp. 504-508 ◽  
Author(s):  
I. Kappstein ◽  
G. Schulgen ◽  
U. Beyer ◽  
K. Geiger ◽  
M. Schumacher ◽  
...  
2017 ◽  
Vol 2017 ◽  
pp. 1-4 ◽  
Author(s):  
Li Chang ◽  
Yun Dong ◽  
Ping Zhou

Ventilator-associated pneumonia (VAP) is a predominant factor of pulmonary infection. We analyzed the risk factors of VAP with acute cerebral hemorrhage in intensive care unit (ICU) by univariate and multivariate logistic regression analyses. After comparison of 197 cases of the VAP and non-VAP patients, we found that age > 65 years (P=0.003), smoke (P=0.003), coronary heart disease (P=0.005), diabetes (P=0.001), chronic obstructive pulmonary disease (COPD) (P=0.002), ICU and hospital stay (P=0.01), and days on mechanical ventilation (P=0.01) were significantly different, indicating that they are risk factors of VAP. All the age > 65 years (OR = 3.350, 95% CI = 1.936–5.796, P≤0.001), smoke (OR = 3.206, 95% CI = 1.909–5.385, P≤0.001), coronary heart disease (OR = 3.179, 95% CI = 1.015–4.130, P=0.017), diabetes (OR = 5.042, 95% CI = 3.518–7.342, P≤0.001), COPD (OR = 1.942, 95% CI = 1.258–2.843, P=0.012), ICU and hospital stay (OR = 2.34, 95% CI = 1.145–3.892, P=0.038), and days on mechanical ventilation (OR = 1.992, 95% CI = 1.107–3.287, P=0.007) are independent risk factors of VAP. After observation of patients with 6 months of follow-up, the BI score was significantly lower in VAP than that in non-VAP, and the rebleeding rate and mortality rate were significantly higher in VAP than those in non-VAP. Thus, the prognosis of the patients with acute cerebral hemorrhage and VAP in ICU is poor.


2022 ◽  
Vol 32 (1) ◽  
pp. 22
Author(s):  
Marsheila Harvy Mustikaningtyas ◽  
Bambang Pujo Semedi ◽  
Kuntaman Kuntaman

Highlight:1. Antimicrobial resistance bacteria isolated from VAP patients are often associated with high mortality and length of hospital stay. 2. Mortality in VAP patients was 33.3% and the VAP group had a longer hospital stay compared to the non-VAP group. 3. The three most predominant bacteria that were found were A. baumannii, P. aeruginosa, K. pneumoniae. Cefoperazone-sulbactam, meropenem and amikacin were more than 70% sensitive against these bacteria.Abstract:Background: Ventilator-Associated Pneumonia (VAP) is the most common nosocomial infection in Intensive Care Unit (ICU). Antimicrobial resistant bacteria isolated from VAP patients are often associated with high mortality and length of hospital stay. Objective: This study aimed to analyze the pattern and sensitivity among pathogens that caused VAP in ICU. Materials and Methods: The study was conducted retrospectively by extracting the data of bacterial isolates from sputum specimens in the Laboratory of Clinical Microbiology, Dr. Soetomo General Academic Hospital, Surabaya, Indonesia and confirming the clinical data on patients suffering from VAP in ICU ward. The study started from January until December 2017. Results: The total 148 pathogens were isolated, 18 of them were diagnosed as VAP, and 130 were not VAP. The most predominant isolates in the VAP group were Acinetobacter baumannii as many as 38 (9%) followed by Pseudomonas aeruginosa 22 (2%), E. coli 16 (7%), and Klebsiella pneumoniae 11 (1%). The pathogens showed a sensitivity rate above 70% to cefoperazone-sulbactam (SCF), meropenem (MEM) and amikacin (AK). Mortality in VAP patients was 33.3% and the VAP group had a longer hospital stay compared to non-VAP group. Conclusion: The three most predominant bacteria that were found were A. baumannii, P. aeruginosa, K. pneumoniae. The pathogens had sensitivity rate above 70% to cefoperazone-sulbactam, meropenem, and amikacin.


Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 1979
Author(s):  
Frank R. Halfwerk ◽  
Jeroen H. L. van Haaren ◽  
Randy Klaassen ◽  
Robby W. van Delden ◽  
Peter H. Veltink ◽  
...  

Cardiac surgery patients infrequently mobilize during their hospital stay. It is unclear for patients why mobilization is important, and exact progress of mobilization activities is not available. The aim of this study was to select and evaluate accelerometers for objective qualification of in-hospital mobilization after cardiac surgery. Six static and dynamic patient activities were defined to measure patient mobilization during the postoperative hospital stay. Device requirements were formulated, and the available devices reviewed. A triaxial accelerometer (AX3, Axivity) was selected for a clinical pilot in a heart surgery ward and placed on both the upper arm and upper leg. An artificial neural network algorithm was applied to classify lying in bed, sitting in a chair, standing, walking, cycling on an exercise bike, and walking the stairs. The primary endpoint was the daily amount of each activity performed between 7 a.m. and 11 p.m. The secondary endpoints were length of intensive care unit stay and surgical ward stay. A subgroup analysis for male and female patients was planned. In total, 29 patients were classified after cardiac surgery with an intensive care unit stay of 1 (1 to 2) night and surgical ward stay of 5 (3 to 6) nights. Patients spent 41 (20 to 62) min less time in bed for each consecutive hospital day, as determined by a mixed-model analysis (p < 0.001). Standing, walking, and walking the stairs increased during the hospital stay. No differences between men (n = 22) and women (n = 7) were observed for all endpoints in this study. The approach presented in this study is applicable for measuring all six activities and for monitoring postoperative recovery of cardiac surgery patients. A next step is to provide feedback to patients and healthcare professionals, to speed up recovery.


2021 ◽  
Vol 74 (6) ◽  
Author(s):  
Caroline Gonçalves Pustiglione Campos ◽  
Aline Pacheco ◽  
Maria Dagmar da Rocha Gaspar ◽  
Guilherme Arcaro ◽  
Péricles Martim Reche ◽  
...  

ABSTRACT Objectives: to analyze the diagnostic criteria for ventilator-associated pneumonia recommended by the Brazilian Health Regulatory Agency and the National Healthcare Safety Network/Centers for Disease Control and Prevention, as well as its risk factors. Methods: retrospective cohort study carried out in an intensive care unit throughout 12 months, in 2017. Analyses included chi-square, simple linear regression, and Kappa statistical tests and were conducted using Stata 12 software. Results: the sample was 543 patients who were in the intensive care unit and under mechanical ventilation, of whom 330 (60.9%) were men and 213 (39.1%) were women. Variables such as gender, age, time under mechanical ventilation, and oral hygiene proved to be significant risk factors for the development of ventilator-associated pneumonia. Conclusions: patients submitted to mechanical ventilation need to be constantly evaluated so the used diagnostic methods can be accurate and applied in an objective and standardized way in Brazilian hospitals.


2018 ◽  
Vol 38 (6) ◽  
pp. 36-45 ◽  
Author(s):  
Cheryl Lynne McBeth ◽  
Rosa Solis Montes ◽  
Amy Powne ◽  
Sopon Elizabeth North ◽  
JoAnne E. Natale

2017 ◽  
Vol 126 (5) ◽  
pp. 799-809 ◽  
Author(s):  
Ryu Komatsu ◽  
Huseyin Oguz Yilmaz ◽  
Jing You ◽  
C. Allen Bashour ◽  
Shobana Rajan ◽  
...  

Abstract Background Statins may reduce the risk of pulmonary and neurologic complications after cardiac surgery. Methods The authors acquired data for adults who had coronary artery bypass graft, valve surgery, or combined procedures. The authors matched patients who took statins preoperatively to patients who did not. First, the authors assessed the association between preoperative statin use and the primary outcomes of prolonged ventilation (more than 24 h), pneumonia (positive cultures of sputum, transtracheal fluid, bronchial washings, and/or clinical findings consistent with the diagnosis of pneumonia), and in-hospital all-cause mortality, using logistic regressions. Second, the authors analyzed the collapsed composite of neurologic complications using logistic regression. Intensive care unit and hospital length of stay were evaluated with Cox proportional hazard models. Results Among 14,129 eligible patients, 6,642 patients were successfully matched. There was no significant association between preoperative statin use and prolonged ventilation (statin: 408/3,321 [12.3%] vs. nonstatin: 389/3,321 [11.7%]), pneumonia (44/3,321 [1.3%] vs. 54/3,321 [1.6%]), and in-hospital mortality (52/3,321 [1.6%] vs. 43/3,321 [1.3%]). The estimated odds ratio was 1.06 (98.3% CI, 0.88 to 1.27) for prolonged ventilation, 0.81 (0.50 to 1.32) for pneumonia, and 1.21 (0.74 to 1.99) for in-hospital mortality. Neurologic outcomes were not associated with preoperative statin use (53/3,321 [1.6%] vs. 56/3,321 [1.7%]), with an odds ratio of 0.95 (0.60 to 1.50). The length of intensive care unit and hospital stay was also not associated with preoperative statin use, with a hazard ratio of 1.04 (0.98 to 1.10) for length of hospital stay and 1.00 (0.94 to 1.06) for length of intensive care unit stay. Conclusions Preoperative statin use did not reduce pulmonary or neurologic complications after cardiac surgery.


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