What is the risk of acquiring bacteria from prior intensive care unit bed occupants?
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ABSTRACT:
SUBMITTER: Russotto V
PROVIDER: S-EPMC5361701 | biostudies-literature | 2017 Mar
REPOSITORIES: biostudies-literature
Publications
What is the risk of acquiring bacteria from prior intensive care unit bed occupants?
Russotto Vincenzo V Cortegiani Andrea A Raineri Santi Maurizio SM Iozzo Pasquale P Gregoretti Cesare C Giarratano Antonino A
Critical care (London, England) 20170322 1
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Project description:BackgroundInternationally, there is no consensus on how to best deal with admission requests in cases of full ICU bed occupancy. Knowledge about the degree of dissension and insight into the reasons for this dissension is lacking. Information about the opinion of ICU physicians can be used to improve decision-making regarding allocation of ICU resources. The aim of this study was to: Assess which factors play a role in the decision-making process regarding the admission of ICU patients; Assess the adherence to a Dutch guideline pertaining to rationing of ICU resources; Investigate factors influencing the adherence to this guideline.MethodsIn March 2013, an online questionnaire was sent to all ICU physician members (n = 761, in 90 hospitals) of the Dutch Society for Intensive Care.Results166 physicians (21.8 %) working in 64 different Dutch hospitals (71.1 %) completed the questionnaire. Factors associated with a patient's physical condition and quality of life were generally considered most important in admission decisions. Scenario-based adherence to the Dutch guideline "Admission request in case of full ICU bed occupancy" was found to be low (adherence rate 50.0 %). There were two main reasons for this poor compliance: unfamiliarity with the guideline and disagreement with the fundamental approach underlying the guideline.ConclusionsDutch ICU physicians disagree about how to deal with admission requests in cases of full ICU bed occupancy. The results of this study contribute to the discussion about the fundamental principles regarding admission of ICU patients in case of full bed occupancy.
| S-EPMC4855768 | biostudies-literature
Project description:IntroductionAcinetobacter species are non-fermenting and ubiquitous Gram-negative coccobacilli, which in recent years have become the leading cause of healthcare-associated infections worldwide. Our objective here was to study the epidemiology and risk factors associated with Acinetobacter baumannii infections in the intensive care unit (ICU).MethodsThis retrospective case-control study was conducted collaboratively between the Medical Bacteriology Department and the two ICUs of the Military Hospital of Instruction Mohammed V-Rabat over a 3 month period.ResultsWe included 180 patients, of whom 60 had A. baumannii infection. We observed a male predominance in both matched groups, with a sex ratio of 1.6. The median age was 67 years [interquartile range (IQR) 59.5-77]. The median length of stay in the ICU before infection was 8.5 days (IQR 5-14). Multivariate logistic regression analysis identified the risk factors statistically associated with A. baumannii infection at the ICU level as follows: duration of invasive procedures >7 days [odds ratio (OR)=1.02], parenteral nutrition (OR=3.514), mechanical ventilation (OR=3.024), imipenem (OR=18.72), colistin (OR=5.645), probabilistic antibiotic therapy >4 days (OR=9.063) and neoplastic pathology (OR=5.727).ConclusionBased on our results, it can be inferred that shortening the duration of stay in the resuscitation setting, implementing rational use of medical devices and optimizing antibiotic therapy could decrease the incidence of these infections.
| S-EPMC10484316 | biostudies-literature
Project description:intensive care unit shotgun raw sequences Metagenome
| PRJNA562118 | ENA
Project description:BackgroundAlthough lifestyle is an important and modifiable risk factor for health-related outcomes, no study has focused on the impact of prior lifestyle habits on mortality among critically ill patients after intensive care unit (ICU) admission. Therefore, we aimed to investigate whether prior lifestyle factors affected short- and long-term survival after ICU admission.MethodsIn this population-based cohort study using a nationwide registration database in South Korea, we included all patients who were admitted to the ICU between January 1, 2010 and December 31, 2018 and who had undergone standardized health examinations in the year prior to ICU admission. Three lifestyle factors (smoking status, alcohol consumption, and physical activity) were evaluated prior to ICU admission.ResultsIn total, 585,383 patients admitted to the ICU between 2010 and 2018 were included in the analysis. Of them, 59,075 (10.1%) and 113,476 (19.4%) patients died within 30 days and 1 year after ICU admission, respectively. Current smoking, mild alcohol consumption, and heavy alcohol consumption were not associated with 30-day mortality after ICU admission. One to 3 days per week of intensive physical activity, 4-5 days and 6-7 days per week of moderate physical activity, and 1-3 days, 4-5 days, and 6-7 days per week of mild physical activity were associated with lower odds of 30-day mortality after ICU admission. Similar results were observed for the analyses of 1-year all-cause mortality after ICU admission.ConclusionPrior lifestyle factors, such as physical activity, were associated with the improvement of both short- and long-term survival outcomes in South Korea. This association was more evident for mild physical activities, such as walking, than for intensive physical activities.
| S-EPMC10070053 | biostudies-literature
Project description:PurposeTo develop, conduct, and evaluate a proactive risk assessment (PRA) of the design and implementation of CPOE in an ICU.MethodsWe developed a PRA method based on issues identified from documented experience with conventional PRA methods and the constraints of an organization about to implement CPOE in an intensive care unit. The PRA method consists of three phases: planning (three months), team (one five-hour meeting), and evaluation (short- and long-term).ResultsSixteen unique relevant vulnerabilities were identified as a result of the PRA team's efforts. Negative consequences resulting from the vulnerabilities included potential patient safety and quality of care issues, non-compliance with regulatory requirements, increases in cognitive burden on CPOE users, and/or worker inconvenience or distress. Actions taken to address the vulnerabilities included redesign of the technology, process (workflow) redesign, user training, and/or ongoing monitoring. Verbal and written evaluation by the team members indicated that the PRA method was useful and that participants were willing to participate in future PRAs. Long-term evaluation was accomplished by monitoring an ongoing "issues list" of CPOE problems identified by or reported to IT staff. Vulnerabilities identified by the team were either resolved prior to CPOE implementation (n=7) or shortly thereafter (n=9). No other issues were identified beside those identified by the team.ConclusionsGenerally positive results from the various evaluations including a long-term evaluation demonstrate the value of developing an efficient PRA method that meets organizational and contextual requirements and constraints.
| S-EPMC3430828 | biostudies-literature
Project description:BackgroundLatency in transferring patients from intensive care units (ICUs) to general wards impedes the optimal allocation of ICU resources, underscoring the urgency of initiatives to reduce it. This study evaluates the extent of ICU transfer latency and assesses the potential benefits of minimizing it.MethodsTransfer latency was measured as the time between the first transfer request and the actual ICU discharge at a single-center tertiary hospital in 2021. Computer-based simulations and cost analyses were performed to examine how reducing transfer latency could affect average hourly ICU bed occupancy, the proportion of time ICU occupancy exceeds 80%, and hospital costs. The first analysis evaluated all ICU admissions, and the second analysis targeted a subset of ICU admissions with longer transfer latency, those requiring infectious precautions.ResultsA total of 7,623 ICU admissions were analyzed, and the median transfer latency was 5.7 hours. Eliminating transfer latency for all ICU admissions would have resulted in a 32.8% point decrease in the proportion of time ICU occupancy exceeded 80%, and a potential annual savings of $6.18 million. Eliminating transfer latency for patients under infectious precautions would have decreased the time ICU occupancy exceeded 80% by 13.5% points, and reduced annual costs by a potential $1.26 million.ConclusionsTransfer latency from ICUs to general wards might contribute to high ICU occupancy. Efforts to minimize latency for all admissions, or even for a subset of admissions with particularly long transfer latency, could enable more efficient use of ICU resources.
| S-EPMC11924396 | biostudies-literature
Project description:BackgroundAt present, unequal allocation of medical resources represents a major problem for medical service management in China and many other countries. Equity of intensive care unit (ICU) bed allocation is essential for timely and equitable access to medical care for critically ill patients. This study analysed the equity of ICU bed allocation in 31 provincial regions in China, and the associated factors, to provide a theoretical basis for improvement in the allocation of ICU beds.MethodsThe equity of ICU bed allocation was investigated in 31 provincial regions in China in 2021. The Gini coefficient combined with Lorenz curves were used to analyse the current status of ICU bed allocation by both population and service area. The spatial heterogeneity and aggregation of ICU bed density were analysed using the Global Moran's index. The spatial distribution pattern was visualized via LISA maps using the Local Moran's index. Three grey correlation models were constructed to assess the key factors influencing ICU bed density. Finally, robustness analysis was performed to test the reliability of the results.ResultsThe allocation of ICU beds in China was highly inequitable by service area (Gini = 0.68) and showed better balance by population distribution (Gini = 0.14). The distribution of ICU beds by service area was highly spatially clustered (Global Moran's I = 0.22). The bed utilization rate exhibited the strongest association with ICU bed density by population. Registered nurses per 10,000 square kilometres was the strongest factor affecting ICU bed density by service area.ConclusionsThe allocation of ICU beds by population is better than by service area; the allocation by service area is less equitable in China. These findings emphasise the need to implement better measures to reduce ICU bed equity differences between regions and balance and coordinate medical resources. Service area size, bed utilization, the number of registered nurses and other key factors should be considered when performing regional health planning for ICU bed supply. This will increase the equitable access to critical medical services for all populations.
| S-EPMC11439290 | biostudies-literature
Project description:Background and objectivesIntensive care unit-acquired weakness (ICU-AW) commonly occurs among intensive care unit (ICU) patients and seriously affects the survival rate and long-term quality of life for patients. In this systematic review, we synthesized the findings of previous studies in order to analyze predictors of ICU-AW and evaluate the discrimination and validity of ICU-AW risk prediction models for ICU patients.MethodsWe searched seven databases published in English and Chinese language to identify studies regarding ICU-AW risk prediction models. Two reviewers independently screened the literature, evaluated the quality of the included literature, extracted data, and performed a systematic review.ResultsUltimately, 11 studies were considered for this review. For the verification of prediction models, internal verification methods had been used in three studies, and a combination of internal and external verification had been used in one study. The value for the area under the ROC curve for eight models was 0.7-0.923. The predictor most commonly included in the models were age and the administration of corticosteroids. All the models have good applicability, but most of the models are biased due to the lack of blindness, lack of reporting, insufficient sample size, missing data, and lack of performance evaluation and calibration of the models.ConclusionsThe efficacy of most models for the risk prediction of ICU-AW among high-risk groups is good, but there was a certain bias in the development and verification of the models. Thus, ICU medical staff should select existing models based on actual clinical conditions and verify them before applying them in clinical practice. In order to provide a reliable basis for the risk prediction of ICU-AW, it is necessary that large-sample, multi-center studies be conducted in the future, in which ICU-AW risk prediction models are verified.
| S-EPMC8462700 | biostudies-literature
Project description:intensive care unit shotgun raw sequences GML Raw sequence reads
| PRJNA562155 | ENA