scholarly journals Retrospective Derivation and Validation of a Search Algorithm to Identify Emergent Endotracheal Intubations in the Intensive Care Unit

2013 ◽  
Vol 04 (03) ◽  
pp. 419-427 ◽  
Author(s):  
V.M. Velagapudi ◽  
J.A. Onigkeit ◽  
B.W. Pickering ◽  
V. Herasevich ◽  
R. Kashyap ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Medical Record ◽  
Sensitivity And Specificity ◽  
Search Strategy ◽  
Search Algorithm ◽  
Search Algorithms ◽  
Critically Ill Patient ◽  
Predictive Values ◽  
Automated Search

Summary Background: The development and validation of automated electronic medical record (EMR) search strategies are important in identifying emergent endotracheal intubations in the intensive care unit (ICU). Objective: To develop and validate an automated search algorithm (strategy) for emergent endotracheal intubation in the critically ill patient. Methods: The EMR search algorithm was created through sequential steps with keywords applied to an institutional EMR database. The search strategy was derived retrospectively through a secondary analysis of a 450-patient subset from the 2,684 patients admitted to either a medical or surgical ICU from January 1, 2010, through December 31, 2011. This search algorithm was validated against an additional 450 randomly selected patients. Sensitivity, specificity, and negative and positive predictive values of the automated search algorithm were compared with a manual medical record review (the reference standard) for data extraction of emergent endotracheal intubations. Results: In the derivation subset, the automated electronic note search strategy achieved a sensitivity of 74% (95% CI, 69%-79%) and a specificity of 98% (95% CI, 92%-100%). With refinements in the search algorithm, sensitivity increased to 95% (95% CI, 91%-97%) and specificity decreased to 96% (95% CI, 92%-98%) in this subset. After validation of the algorithm through a separate patient subset, the final reported sensitivity and specificity were 95% (95% CI, 86%-99%) and 100% (95% CI, 98%-100%). Conclusions: Use of electronic search algorithms allows for correct extraction of emergent endotracheal intubations in the ICU, with high degrees of sensitivity and specificity. Such search algorithms are a reliable alternative to manual chart review for identification of emergent endotracheal intubations.

scholarly journals Seeking out SARI: an automated search of electronic health records

2018 ◽  
Vol 146 (8) ◽  
pp. 1065-1069
Author(s):  
John C. O'Horo ◽  
Mikhail Dziadzko ◽  
Amra Sakusic ◽  
Rashid Ali ◽  
M. Rizwan Sohail ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Electronic Health Records ◽  
Search Algorithm ◽  
Temporal Trends ◽  
Epidemiologic Study ◽  
Health Records ◽  
Severe Acute Respiratory Infection ◽  
Electronic Health ◽  
Automated Search

AbstractThe definition of severe acute respiratory infection (SARI) – a respiratory illness with fever and cough, occurring within the past 10 days and requiring hospital admission – has not been evaluated for critically ill patients. Using integrated electronic health records data, we developed an automated search algorithm to identify SARI cases in a large cohort of critical care patients and evaluate patient outcomes. We conducted a retrospective cohort study of all admissions to a medical intensive care unit from August 2009 through March 2016. Subsets were randomly selected for deriving and validating a search algorithm, which was compared with temporal trends in laboratory-confirmed influenza to ensure that SARI was correlated with influenza. The algorithm was applied to the cohort to identify clinical differences for patients with and without SARI. For identifying SARI, the algorithm (sensitivity, 86.9%; specificity, 95.6%) outperformed billing-based searching (sensitivity, 73.8%; specificity, 78.8%). Automated searching correlated with peaks in laboratory-confirmed influenza. Adjusted for severity of illness, SARI was associated with more hospital, intensive care unit and ventilator days but not with death or dismissal to home. The search algorithm accurately identified SARI for epidemiologic study and surveillance.

Presepsin - New Marker of Sepsis Romanian Neonatal Intensive Care Unit Experience

2019 ◽  
Vol 70 (8) ◽  
pp. 3008-3013
Author(s):  
Silvia Maria Stoicescu ◽  
Ramona Mohora ◽  
Monica Luminos ◽  
Madalina Maria Merisescu ◽  
Gheorghita Jugulete ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Neonatal Intensive Care Unit ◽  
Neonatal Sepsis ◽  
Predictive Value ◽  
Neonatal Intensive Care ◽  
Complete Blood Count ◽  
Clinical Manifestations ◽  
Receiver Operating Curve ◽  
Predictive Values

Difficulties in establishing the onset of neonatal sepsis has directed the medical research in recent years to the possibility of identifying early biological markers of diagnosis. Overdiagnosing neonatal sepsis leads to a higher rate and duration in the usage of antibiotics in the Neonatal Intensive Care Unit (NICU), which in term leads to a rise in bacterial resistance, antibiotherapy complications, duration of hospitalization and costs.Concomitant analysis of CRP (C Reactive Protein), procalcitonin, complete blood count, presepsin in newborn babies with suspicion of early or late neonatal sepsis. Presepsin sensibility and specificity in diagnosing neonatal sepsis. The study group consists of newborns admitted to Polizu Neonatology Clinic between 15th February- 15th July 2017, with suspected neonatal sepsis. We analyzed: clinical manifestations and biochemical markers values used for diagnosis of sepsis, namely the value of CRP, presepsin and procalcitonin on the onset day of the disease and later, according to evolution. CRP values may be influenced by clinical pathology. Procalcitonin values were mainly influenced by the presence of jaundice. Presepsin is the biochemical marker with the fastest predictive values of positive infection. Presepsin can be a useful tool for early diagnosis of neonatal sepsis and can guide the antibiotic treatment. Presepsin value is significantly higher in neonatal sepsis compared to healthy newborns (939 vs 368 ng/mL, p [ 0.0001); area under receiver operating curve (AUC) for presepsine was 0.931 (95% confidence interval 0.86-1.0). PSP has a greater sensibility and specificity compared to classical sepsis markers, CRP and PCT respectively (AUC 0.931 vs 0.857 vs 0.819, p [ 0.001). The cut off value for presepsin was established at 538 ng/mLwith a sensibility of 79.5% and a specificity of 87.2 %. The positive predictive value (PPV) is 83.8 % and negative predictive value (NPV) is 83.3%.

scholarly journals Derivation and validation of a search algorithm to retrospectively identify mechanical ventilation initiation in the intensive care unit

2014 ◽  
Vol 14 (1) ◽  
Author(s):  
Nathan J Smischney ◽  
Venu M Velagapudi ◽  
James A Onigkeit ◽  
Brian W Pickering ◽  
Vitaly Herasevich ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Mechanical Ventilation ◽  
Intensive Care ◽  
Search Algorithm

The (Absence of a) Role of Venous Duplex Scan in the Diagnosis of Pulmonary Embolism after Severe Trauma

2006 ◽  
Vol 72 (1) ◽  
pp. 7-10
Author(s):  
George C. Velmahos ◽  
Carlos V. Brown ◽  
Demetrios Demetriades
Keyword(s):  
Intensive Care Unit ◽  
Pulmonary Embolism ◽  
Intensive Care ◽  
Sensitivity And Specificity ◽  
Clinical Suspicion ◽  
Severely Injured ◽  
Duplex Scan ◽  
Severely Injured Patients ◽  
High Level ◽  
Injured Patients

Venous duplex scan (VDS) has been used for interim bedside diagnosis of pulmonary embolism (PE) in severely injured patients deemed to be at risk if transported out of the intensive care unit. In combination with the level of clinical suspicion for PE, VDS helps select patients for temporary treatment until definitive diagnosis is made. We evaluate the sensitivity and specificity of VDS in critically injured patients with a high level of clinical suspicion for PE. We performed a prospective observational cohort study at the surgical intensive care unit of an academic level 1 trauma center. Patients were 59 critically injured patients suspected to have PE over a 30-month period. The level of clinical suspicion for PE was classified as low or high according to preset criteria. Interventions were VDS and a PE outcome test (conventional or computed tomographic pulmonary angiography). The sensitivity and specificity of VDS to detect PE in all patients and in patients with high level of clinical suspicion was calculated against the results of the outcome test. PE was diagnosed in 21 patients (35.5%). The sensitivity and specificity of VDS was 33 per cent and 89 per cent, respectively. Among the 28 patients who had a high level of clinical suspicion for PE, the sensitivity of VDS was 23 per cent and the specificity 93 per cent. In this latter population, 1 of the 4 (25%) positive VDS was of a patient without PE and 10 of the 24 (42%) negative VDS were of patients who had PE. VDS does not accurately predict PE in severely injured patients, even in the presence of a high level of clinical suspicion.

scholarly journals Blind Spots in Methods Based on Cultivation and Metagenomic Sequencing for Surface Microbiomes in a Medical Intensive Care Unit

2020 ◽  
Vol 41 (S1) ◽  
pp. s141-s142
Author(s):  
Jiaxian Shen ◽  
Alexander McFarland ◽  
Ryan Blaustein ◽  
Mary Hayden ◽  
Vincent Young ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Intensive Care Unit ◽  
Intensive Care ◽  
Sensitivity And Specificity ◽  
Medical Intensive Care Unit ◽  
Metagenomic Sequencing ◽  
Whole Cell ◽  
Medical Intensive Care ◽  
The Impact ◽  
Blind Spots

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

scholarly journals Correlation of Platelet-Lymphocyte Ratio (PLR) as 28-Days Sepsis Mortality Predictor in Intensive Care Unit of RSMH Palembang

2021 ◽  
Vol 1 (2) ◽  
pp. 43-62
Author(s):  
Tiara Santi Rizal ◽  
Fredi Heru Irwanto ◽  
Rizal Zainal ◽  
Mgs Irsan Saleh
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Inflammatory Response ◽  
Sensitivity And Specificity ◽  
Inflammatory Marker ◽  
Sepsis Mortality ◽  
Roc Curve Analysis ◽  
Lymphocyte Ratio ◽  
Morbidity Score ◽  
Anti Inflammatory

Introduction. Inflammatory and anti-inflammatory response are important in pathophysiology and mortality of sepsis. Platelet as first line inflammatory marker was found increasing during early phase of infection. Decrease in lymphocyte was caused by disrupted balance between inflammatory and anti-inflammatory response. Platelet-to- lymphocyte ratio (PLR) is a cheap and accessible biomarker of sepsis mortality. This study aims to find the sensitivity and specificity of PLR as mortality predictor of sepsis in 28 days. Methods. This observational analytic study with retrospective cohort design was conducted to 91 sepsis patients in intensive care unit of Dr. Mohammad Hoesin Palembang Central Hospital between January and December 2019. Samples were secondarily collected from medical record during June-July 2020. Data was analyzed using chi-square test, cog regression test, and ROC curve analysis. Results. The result found 50 patients (54,9%) died in 28 days. Morbidity score (Charlson) was the only statistically significant mortality parameter (p=0,009). The study reported PLR cut-off point of >272,22. The sensitivity and specificity of PLR as 28-days sepsis mortality predictor are 84% and 80,49% respectively. Conclusion. PLR is alternatively reliable mortality predictor in sepsis patient, accounted to its relatively high sensitivity and specificity.

Pleural Disease in the Intensive Care Unit

2000 ◽  
Vol 15 (2) ◽  
pp. 63-89
Author(s):  
Michael A. Jantz ◽  
Steven A. Sahn
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Pleural Effusion ◽  
Critically Ill ◽  
Bronchopleural Fistula ◽  
Tension Pneumothorax ◽  
Respiratory Physiology ◽  
Critically Ill Patient ◽  
Pleural Disease ◽  
The Impact

Pleural disease itself is an unusual cause for admission to the intensive care unit (ICU). Pleural complications of diseases and procedures in the ICU are common, however, and the impact on respiratory physiology is additive to that of the underlying cardiopulmonary disease. Pleural effusion and pneumothorax may be overlooked in the critically ill patient due to alterations in radiologic appearance in the supine patient. The development of a pneumothorax in a patient in the ICU represents a potentially life-threatening situation. This article reviews the etiologies, pathophysiology, and management of pleural effusion, pneumothorax, tension pneumothorax, and bronchopleural fistula in the critically ill patient. In addition, we review the potential complications of thoracentesis and chest tube thoracostomy, including re-expansion pulmonary edema.

Cardiopulmonary support in the intensive care unit

1992 ◽  
Vol 1 (1) ◽  
pp. 98-106
Author(s):  
M Cone ◽  
M Hoffman ◽  
D Jessen ◽  
P Posa ◽  
C Dailey ◽  
...  
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Tissue Perfusion ◽  
Definitive Treatment ◽  
Critically Ill Patient ◽  
Careful Monitoring ◽  
Cardiopulmonary Support ◽  
Critical Care Team ◽  
Adequate Tissue ◽  
Cardiopulmonary Support System

The cardiopulmonary support system is an extracorporeal device that allows for rapid cardiopulmonary support of the critically ill patient in the intensive care unit. It provides immediate and complete support of cardiac and pulmonary functions to maintain perfusion to vital organs in patients who are severely physiologically compromised (eg, in cardiogenic shock, adult respiratory distress syndrome or pulmonary edema). Successful cardiopulmonary support requires systemic anticoagulation, percutaneous venous and arterial cannulation and careful monitoring by the critical care team to maintain adequate tissue perfusion and oxygenation. Although patient mortality can occur secondary to bleeding, embolism or sepsis, this technique provides life-sustaining circulatory and respiratory support until definitive treatment can be initiated.

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