scholarly journals A risk assessment method based on the failure analysis of medical devices in the adult Intensive Care Unit

2021 ◽  
Vol 4 (2) ◽  
pp. 15-25
Author(s):  
Fabiola M. Martinez-Licona ◽  
Sergio E. Perez-Ramos

Backgrounds and Objective: The Intensive Care Unit (ICU) receives patients whose situation demands high complexity tasks. Their recovery depends on medical care, their response to medications and clinical procedures, and the optimal functioning of the medical devices devoted to them. Adverse events in ICU due to failures in the facilities, particularly medical devices, have an important impact not only on the patients but also on the operators and all those involved in their care. The origins of the technological failures seem to be more oriented to the interaction between the equipment and the operator: once the medical equipment is functioning, we must guarantee its correct execution to meet both the clinical service's objectives and the expectations of those involved in care, including the patients themselves. We present an approach to quality management based on failure analysis as the source of risk for medical devices' functioning and operation in the ICU. We decided to address it through a systematic approach by using the Failure Mode and Effects Analysis (FMEA) method and the Ishikawa diagrams' support to obtain the causes graphically. Material and Methods: We used the risk analysis framework as a basis of the methodology. By obtaining the causes and sub causes of technological failures in the ICU for adult patients, we applied the FMEA method and the Ishikawa diagrams to analyze the relationship between cause and failure. The ICU devices came from the Official Mexican Standard and WHO information related to the ICU operation and facilities. The data from the causes of failure came from specialized consultation and discussion forums on medical devices where these topics were addressed; we searched for over five years in Spanish forums. We proposed a calculation of the Risk Priority Number based on the information subtracted from the forums. Then, we defined an indicator showing the priority level that can be used to address the issue. Results: In general, the results showed that most of the medical equipment failure causes have medium and high-risk priority levels and, in some cases, the cause presented as the most prevalent didn't match with the reported in official documents such as technical or operation manuals. The most frequent causes found are related to electrical system issues and operation skills. We presented three study cases: defibrillator, vital sign monitor, and volumetric ventilator, to show the risk level designation. The conclusions inferred from these cases are oriented to training strategies and the development of support material in Spanish. Conclusion: The development of risk management methodologies that aim to monitor and solve potential hazard situations in critical areas is valuable to the health technology management program. The FMEA method showed to be a strong basis for the risk assessment processes, and its application to the ICU medical technology allowed the creation of the evidence supporting the decision-making process concerning strategic solutions to guarantee patient safety

2020 ◽  
Vol 41 (S1) ◽  
pp. s141-s142
Author(s):  
Jiaxian Shen ◽  
Alexander McFarland ◽  
Ryan Blaustein ◽  
Mary Hayden ◽  
Vincent Young ◽  
...  

Background: Cultivation of targeted pathogens has been long recognized as a gold standard for healthcare surveillance. However, there is an emergent need to characterize all viable microorganisms in healthcare facilities to understand the role that both clinical and nonclinical microorganisms play in healthcare-associated infections. Metagenomic sequencing allows detection of entire microbial communities, in contrast to targeted identification by cultivation. Widespread application of metagenomic sequencing has been impeded in part because the sensitivity and specificity are unknown, which inhibits our ability to interpret results for risk assessment. To assess the impact of sample preparation methods on sensitivity and specificity, we compared several pretreatment steps followed by metagenomic sequencing, and we performed culture-based analyses. Methods: We collected 120 surface swabs from the medical intensive care unit at Rush University Medical Center, which we aggregated to create a representative microbiome sample. We then subjected aliquots to different processing methods (DNA extraction methods, internal standard addition, propidium monoazide (PMA) treatment, and whole-cell serial filtration). We evaluated the effects of these methods based on DNA yields and metagenomic sequencing outcomes. We also compared the metagenomic results to the microbial identifications obtained by cultivation using environmental microbiology methods and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). Results: Our results demonstrate that bead-beating and heat lysis followed by liquid-liquid extraction is the optimal method for the identification of low-biomass surface-associated microbes, as opposed to widely used column-based and magnetic bead-based methods. For low-biomass surface-associated samples, ~590,000 reads per sample are sufficient for ≍90% coverage in metagenomic sequencing (Fig. 1). The ZymoBIOMICS microbial community standard is not appropriate for methods assessing membrane integrity. For the identification of putatively viable microorganisms, PMA treatment is promising, although elimination of signals from nonviable organisms will reduce the overall detectable signal. Combining PMA-treated metagenomic sequencing with cultivation yields the most comprehensive results, particularly for low-abundance taxa, despite high sequencing coverage (Fig. 2). To distribute more detection resources to bacteria, our target domain, we tried whole-cell filtration prior to extraction, attempting to isolate bacterial cells from eukaryotic cells and other particles. For low-biomass surface-associated samples, the sample loss and the difficulties in performing filtration outweigh the slight increase of bacterial signal. Conclusions: Despite optimization, we observed certain blind spots in both cultivation and metagenomic sequencing. This information is essential for informed risk assessment. Further research is needed to identify additional limitations to ensure that results from metagenomic sequencing can be interpreted in the context of healthcare-acquired infection prevention.Funding: This work was supported by the Centers for Disease Control and Prevention (BAA FY2018-OADS-01 Contract 02915).Disclosures: None


2018 ◽  
Vol 42 (2) ◽  
pp. 82-91 ◽  
Author(s):  
M. Lima-Serrano ◽  
M.I. González-Méndez ◽  
C. Martín-Castaño ◽  
I. Alonso-Araujo ◽  
J.S. Lima-Rodríguez

2019 ◽  
Vol 59 (3) ◽  
pp. 163-168
Author(s):  
Mark P. Fitzgerald ◽  
Maureen Donnelly ◽  
Lisa Vala ◽  
Linda Allen-Napoli ◽  
Nicholas S. Abend

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 64193-64224
Author(s):  
Carmel Eliash ◽  
Isaac Lazar ◽  
Nir Nissim

Nutrients ◽  
2019 ◽  
Vol 11 (9) ◽  
pp. 2152 ◽  
Author(s):  
Ming-Hung Tsai ◽  
Hui-Chun Huang ◽  
Yun-Shing Peng ◽  
Yung-Chang Chen ◽  
Ya-Chung Tian ◽  
...  

Malnutrition is associated with adverse outcomes in patients with liver cirrhosis. Relevant data about nutrition risk in critically ill cirrhotic patients are lacking. The modified Nutrition Risk in Critically Ill (mNUTRIC) score is a novel nutrition risk assessment tool specific for intensive care unit (ICU) patients. This retrospective study was conducted to evaluate the prevalence and prognostic significance of nutrition risk in cirrhotic patients with acute gastroesophageal variceal bleeding (GEVB) using mNUTRIC scores computed on admission to the intensive care unit. The major outcome was 6-week mortality. One-hundred-and-thirty-one admissions in 120 patients were analyzed. Thirty-eight percent of cirrhotic patients with acute GEVB were categorized as being at high nutrition risk (a mNUTRIC score of ≥5). There was a significantly progressive increase in mortality associated with the mNUTRIC score (χ2 for trend, p < 0.001). By using the area under a receiver operating characteristic (ROC) curve, the mNUTRIC demonstrated good discriminative power to predict 6-week mortality (AUROC 0.859). In multivariate analysis, the mNUTRIC score was an independent factor associated with 6-week mortality. In conclusion, the mNUTRIC score can serve as a tool to assess nutrition risk in cirrhotic patients with acute GEVB.


2019 ◽  
Vol 7 ◽  
pp. 2050313X1983874
Author(s):  
Bobak J Akhavan ◽  
Ugochi A Osborn ◽  
Reeba Mathew

We present the case of a patient who developed a severe systemic allergic reaction during initiation of hemodialysis. The reaction completely resolved by switching the dialysis filter sterilized by ethylene oxide to a steam sterilized filter. Ethylene oxide is used to sterilize heat sensitive medical devices, and although allergic reactions related to ethylene oxide have been reported before, awareness is lacking among providers in the inpatient setting, specifically in the intensive care unit setting.


2008 ◽  
Vol 13 (1) ◽  
pp. 34-43 ◽  
Author(s):  
Hiromi Sanada ◽  
Junko Sugama ◽  
Brian Thigpen ◽  
Muhammad Subuh

2013 ◽  
Vol 82 (1) ◽  
pp. 25-38 ◽  
Author(s):  
Ann Schoofs Hundt ◽  
Jean A. Adams ◽  
J. Andrew Schmid ◽  
Linda M. Musser ◽  
James M. Walker ◽  
...  

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