scholarly journals The ICEL Healthcare-Associated Infection Probability Equation

2020 ◽  
Vol 41 (S1) ◽  
pp. s405-s406
Author(s):  
Mark Moore
Keyword(s):  
Risk Assessment ◽  
High Risk ◽  
Length Of Stay ◽  
Pathogenic Bacteria ◽  
The United States ◽  
Low Risk ◽  
Patient Specific ◽  
Total Risk ◽  
System Integrity ◽  
Data Portal

Backround: In American hospitals alone, the CDC estimates that hospital acquired infections (HAIs) account for an estimated 1.7 million infections and 99,000 associated deaths each year.1 Although the United states and most industrialized nations have made strides in lowering the overall HAI rate by taking critical steps to reduce HAIs, an overall formula that combines a global risk assessment per patient for HAI acquisition has yet to be established. To address this issue, we developed the ICEL equation. This equation uses a probabilistic argument to estimate the likelihood of HAI acquisition and to promote infection control dialogue among healthcare practitioners from diverse healthcare disciplines. Methods: We defined HAI risk using the ICEL acronym as follows: HAI risk = (I + C + E + L), where I is invasive devices present; C is patient-specific characteristics; E is the average number of pathogenic organisms in the patient environment; and L is the length of stay. A simple scale of 1–10 points is subjectively assigned for each of the following categories:I = (number of invasive devices / surgeries / % body surface areas open)C = Patient specific characteristics (immune system integrity / immunomodulators / radiation exposure / chemotherapy, etc)E = Environmental conditions / cleaning (average number of pathogenic bacteria in room, 100% hand hygiene compliance, patient / staff colonization, etc)L = Length of stay days risk, where 0–3 days is low risk, 4–7 is moderate risk, and 8–10+ is high riskSumming the points for each of the 4 categories, the greatest possible total is 40. A total score of 0–10 indicates low risk of HAI; 11–20 indicates low-to-medium risk of HAI; 20–30 indicates a high risk of HAI; and 30–40 indicates a very high risk of HAI. Results:This equation was designed to stimulate thought and encourage multidisciplinary cooperation among providers, nursing, environmental services, and facilities departments rather than provide an exact number for HAI risk. All of these categories are key players in the determining patient risk of acquiring an HAI. If any of the 4 hospital departments mentioned fails in their duties, the patient is at higher risk of HAI. Conclusions: This categorical HAI risk assessment relies on the subjective medical and environmental knowledge of the assessor to assign risk across the continuum of the healthcare environment. Although it is nearly impossible to provide exact numbers regarding total risk in these risk categories, the goal of the scoring system is to encourage clinical dialogue among hospital staff so that they communicate and collaborate within their specialties and with their peers to assure that each category poses as low a risk as possible, thus driving the total risk for HAI lower.1. https://www.cdc.gov/hai/data/portal/progress-report.htmlFunding: NoneDisclosures: None

scholarly journals Obstetric hemorrhage risk assessment tool predicts composite maternal morbidity

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Emer L. Colalillo ◽  
Andrew D. Sparks ◽  
Jaclyn M. Phillips ◽  
Chinelo L. Onyilofor ◽  
Homa K. Ahmadzia
Keyword(s):  
Risk Assessment ◽  
High Risk ◽  
Risk Prediction ◽  
Maternal Morbidity ◽  
Assessment Tool ◽  
The United States ◽  
Low Risk ◽  
Risk Assessment Tool ◽  
Obstetric Hemorrhage ◽  
Hemorrhage Risk

AbstractObstetric hemorrhage is one of the leading preventable causes of maternal mortality in the United States. Although hemorrhage risk-prediction models exist, there remains a gap in literature describing if these risk-prediction tools can identify composite maternal morbidity. We investigate how well an established obstetric hemorrhage risk-assessment tool predicts composite hemorrhage-associated morbidity. We conducted a retrospective cohort analysis of a multicenter database including women admitted to Labor and Delivery from 2016 to 2018, at centers implementing the Association of Women’s Health, Obstetric, and Neonatal Nurses risk assessment tool on admission. A composite morbidity score incorporated factors including obstetric hemorrhage (estimated blood loss ≥ 1000 mL), blood transfusion, or ICU admission. Out of 56,903 women, 14,803 (26%) were categorized as low-risk, 26,163 (46%) as medium-risk and 15,937 (28%) as high-risk for obstetric hemorrhage. Composite morbidity occurred at a rate of 2.2%, 8.0% and 11.9% within these groups, respectively. Medium- and high-risk groups had an increased combined risk of composite morbidity (diagnostic OR 4.58; 4.09–5.13) compared to the low-risk group. This established hemorrhage risk-assessment tool predicts clinically-relevant composite morbidity. Future randomized trials in obstetric hemorrhage can incorporate these tools for screening patients at highest risk for composite morbidity.

scholarly journals RISK ASSESSMENT PERUSAHAAN EXPORT SEPATU PADA BAGIAN LINE UPPER PT. X

2015 ◽  
Vol 4 (1) ◽  
pp. 22
Author(s):  
Novita Dewi Vebriyana Dankis ◽  
Mulyono Mulyono
Keyword(s):  
Risk Assessment ◽  
High Risk ◽  
Risk Control ◽  
Consumer Products ◽  
Hazard Identification ◽  
Low Risk ◽  
Residual Risk ◽  
Control Measures ◽  
On Line ◽  
Punch Hole

ABSTRACTRevolution in the industry sector has been rapidly grown to fill up all the needs of the consumer products. One involves  supporting advanced machinery such as “Cutting, Skiving, Stitching, Emboss Logo, Roving, Punch Hole, Juki, BrushingEdge, Hammer Over Lapping and Two Molding”. In the factory production process, there are various types of high-risk activities, especially on line upper. The main of this research is to study the risk assessment on export companies line the upper part of the shoes export company using Job Safety Analysis. This research was conducted observational crosssectional design. Observations made to the hazards and control measures. Interviews were conducted to 12 employees. Variables in this research is production activity, hazard identification, risk assessment, risk control and residual risk. The results of hazard identification has been done, there are 91 known potential hazards, for risk assessment found 7 high risk and low risk 5. Machine classified as high risk on the risk assessment is roving machine, whereas low-risk is two molding machine. Control efforts on the upper line in accordance with the hierarchy of controlling a number of 91 controls, whereas for the residual risk still remains as much as 30 residual risk. Control has been applied quite well by pressing the consequences of hazards and risk management.Keywords: risk assessment, controlling, residual risk

scholarly journals Semiautomated Glasgow-Blatchford Bleeding Score helps direct bed placement for patients with upper gastrointestinal bleeding

2020 ◽  
Vol 7 (1) ◽  
pp. e000479
Author(s):  
Drew B Schembre ◽  
Robson E Ely ◽  
Janice M Connolly ◽  
Kunjali T Padhya ◽  
Rohit Sharda ◽  
...  
Keyword(s):  
Intensive Care ◽  
High Risk ◽  
Length Of Stay ◽  
Gastrointestinal Bleeding ◽  
Transfusion Requirement ◽  
Upper Gastrointestinal Bleeding ◽  
Low Risk ◽  
Risk Patients ◽  
Bleeding Score ◽  
Upper Gastrointestinal

ObjectiveThe Glasgow-Blatchford Bleeding Score (GBS) was designed to identify patients with upper gastrointestinal bleeding (UGIB) who do not require hospitalisation. It may also help stratify patients unlikely to benefit from intensive care.DesignWe reviewed patients assigned a GBS in the emergency room (ER) via a semiautomated calculator. Patients with a score ≤7 (low risk) were directed to an unmonitored bed (UMB), while those with a score of ≥8 (high risk) were considered for MB placement. Conformity with guidelines and subsequent transfers to MB were reviewed, along with transfusion requirement, rebleeding, length of stay, need for intervention and death.ResultsOver 34 months, 1037 patients received a GBS in the ER. 745 had an UGIB. 235 (32%) of these patients had a GBS ≤7. 29 (12%) low-risk patients were admitted to MBs. Four low-risk patients admitted to UMB required transfer to MB within the first 48 hours. Low-risk patients admitted to UMBs were no more likely to die, rebleed, need transfusion or require more endoscopic, radiographic or surgical procedures than those admitted to MBs. No low-risk patient died from GIB. Patients with GBS ≥8 were more likely to rebleed, require transfusion and interventions to control bleeding but not to die.ConclusionA semiautomated GBS calculator can be incorporated into an ER workflow. Patients with a GBS ≤7 are unlikely to need MB care for UGIB. Further studies are warranted to determine an ideal scoring system for MB admission.

scholarly journals Ecological risk assessment of geohazards in Natural World Heritage Sites: an empirical analysis of Bogda, Tianshan

2019 ◽  
Vol 11 (1) ◽  
pp. 327-340 ◽  
Author(s):  
Qin Liu ◽  
Zhaoping Yang ◽  
Hui Shi ◽  
Zhi Wang
Keyword(s):  
Risk Assessment ◽  
High Risk ◽  
Ecological Risk ◽  
Ecological Risk Assessment ◽  
World Heritage ◽  
Natural World ◽  
Low Risk ◽  
World Heritage Site ◽  
Heritage Site ◽  
Risk Areas

Abstract Ecological risk assessment plays an important role in avoiding disasters and reducing losses. Natural world heritage site is the most precious natural assets on earth, yet few studies have assessed ecological risks from the perspective of world heritage conservation and management. A methodology for considering ecological threats and vulnerabilities and focusing on heritage value was introduced and discussed for the Bogda component of the Xinjiang Tianshan Natural World Heritage Site. Three important results are presented. (1) Criteria layers and ecological risk showed obvious spatial heterogeneity. Extremely high-risk and high-risk areas, accounting for 13.60% and 32.56%, respectively, were mainly gathered at Tianchi Lake and Bogda Glacier, whereas the extremely low-risk and low-risk areas, covering 1.33% and 17.51% of the site,were mainly distributed to the north and scattered around in the southwest montane region. (2) The level of risk was positively correlated with the type of risk, and as the level of risk increases, the types of risk increase. Only two risk types were observed in the extremely low-risk areas, whereas six risk types were observed in the high-risk areas and eight risk types were observed in the extremely high-risk areas. (3) From the perspective of risk probability and ecological damage, four risk management categories were proposed, and correlative strategies were proposed to reduce the possibility of ecological risk and to sustain or enhance heritage value.

Single-center prognostic validation of the risk assessment of the 2015 ESC/ERS guidelines in patients with pulmonary arterial hypertension in Japan

2020 ◽  
Vol 98 (9) ◽  
pp. 653-658 ◽  
Author(s):  
Ryo Imai ◽  
Shiro Adachi ◽  
Masahiro Yoshida ◽  
Shigetake Shimokata ◽  
Yoshihisa Nakano ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Pulmonary Arterial Hypertension ◽  
High Risk ◽  
Arterial Hypertension ◽  
Risk Group ◽  
Low Risk ◽  
World Health ◽  
Right Atrial ◽  
Walking Distance ◽  
Pulmonary Arterial

The 2015 European Society of Cardiology/European Respiratory Society guidelines for the diagnosis and treatment of pulmonary hypertension include a multidimensional risk assessment for patients with pulmonary arterial hypertension (PAH). However, prognostic validations of this risk assessment are limited, especially outside Europe. Here, we validated the risk assessment strategy in PAH patients in our institution in Japan. Eighty consecutive PAH patients who underwent right heart catheterization between November 2006 and December 2018 were analyzed. Patients were classified as low, intermediate, or high risk by using a simplified version of the risk assessment that included seven variables: World Health Organization functional class, 6-min walking distance, peak oxygen consumption, brain natriuretic peptide, right atrial pressure, mixed venous oxygen saturation, and cardiac index. The high-risk group showed significantly higher mortality than the low- or intermediate-risk group at baseline (P < 0.001 for both comparisons), and the mortalities in the intermediate- and low-risk groups were both low (P = 0.989). At follow-up, patients who improved to or maintained a low-risk status showed better survival than those who did not (P = 0.041). Our data suggest that this risk assessment can predict higher mortality risk and long-term survival in PAH patients in Japan.

Validation of Postpartum Hemorrhage Admission Risk Factor Stratification in a Large Obstetrics Population

2020 ◽  
Author(s):  
Halley Ruppel ◽  
Vincent X. Liu ◽  
Neeru R. Gupta ◽  
Lauren Soltesz ◽  
Gabriel J. Escobar
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
High Risk ◽  
Blood Loss ◽  
Postpartum Hemorrhage ◽  
Risk Group ◽  
Risk Groups ◽  
Low Risk ◽  
Hemorrhage Risk ◽  
Present On Admission

Abstract Objective This study aimed to evaluate the performance of the California Maternal Quality Care Collaborative (CMQCC) admission risk criteria for stratifying postpartum hemorrhage risk in a large obstetrics population. Study Design Using detailed electronic health record data, we classified 261,964 delivery hospitalizations from Kaiser Permanente Northern California hospitals between 2010 and 2017 into high-, medium-, and low-risk groups based on CMQCC criteria. We used logistic regression to assess associations between CMQCC risk groups and postpartum hemorrhage using two different postpartum hemorrhage definitions, standard postpartum hemorrhage (blood loss ≥1,000 mL) and severe postpartum hemorrhage (based on transfusion, laboratory, and blood loss data). Among the low-risk group, we also evaluated associations between additional present-on-admission factors and severe postpartum hemorrhage. Results Using the standard definition, postpartum hemorrhage occurred in approximately 5% of hospitalizations (n = 13,479), with a rate of 3.2, 10.5, and 10.2% in the low-, medium-, and high-risk groups. Severe postpartum hemorrhage occurred in 824 hospitalizations (0.3%), with a rate of 0.2, 0.5, and 1.3% in the low-, medium-, and high-risk groups. For either definition, the odds of postpartum hemorrhage were significantly higher in medium- and high-risk groups compared with the low-risk group. Over 40% of postpartum hemorrhages occurred in hospitalizations that were classified as low risk. Among the low-risk group, risk factors including hypertension and diabetes were associated with higher odds of severe postpartum hemorrhage. Conclusion We found that the CMQCC admission risk assessment criteria stratified women by increasing rates of severe postpartum hemorrhage in our sample, which enables early preparation for many postpartum hemorrhages. However, the CMQCC risk factors missed a substantial proportion of postpartum hemorrhages. Efforts to improve postpartum hemorrhage risk assessment using present-on-admission risk factors should consider inclusion of other nonobstetrical factors.

A Validated Risk Model for Prediction of Early Readmission in Patients with Hepatic Encephalopathy

2018 ◽  
Vol 17 (5) ◽  
pp. 0-10
Author(s):  
Andrew J. Kruger ◽  
Fasika Aberra ◽  
Sylvester M. Black ◽  
Alice Hinton ◽  
James Hanje ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Hepatic Encephalopathy ◽  
High Risk ◽  
Risk Model ◽  
Cox Regression ◽  
Low Risk ◽  
Assessment Model ◽  
Risk Assessment Model ◽  
Early Readmission ◽  
The Impact

Introduction and aim. Hepatic encephalopathy (HE) is a common complication in cirrhotics and is associated with an increased healthcare burden. Our aim was to study independent predictors of 30-day readmission and develop a readmission risk model in patients with HE. Secondary aims included studying readmission rates, cost, and the impact of readmission on mortality. Material and methods. We utilized the 2013 Nationwide Readmission Database (NRD) for hospitalized patients with HE. A risk assessment model based on index hospitalization variables for predicting 30-day readmission was developed using multivariate logistic regression and validated with the 2014 NRD. Patients were stratified into Low Risk and High Risk groups. Cox regression models were fit to identify predictors of calendar-year mortality. Results. Of 24,473 cirrhosis patients hospitalized with HE, 32.4% were readmitted within 30-days. Predictors of readmission included presence of ascites (OR: 1.19; 95% CI: 1.06-1.33), receiving paracentesis (OR: 1.43; 95% CI: 1.26-1.62) and acute kidney injury (OR: 1.11; 95% CI: 1.00-1.22). Our validated model stratified patients into Low Risk and High Risk of 30-day readmissions (29% and 40%, respectively). The cost of the first readmission was higher than index admission in the 30-day readmission cohort ($14,198 vs. $10,386; p-value < 0.001). Thirty-day readmission was the strongest predictor of calendar-year mortality (HR: 4.03; 95% CI: 3.49-4.65). Conclusions. Nearly one-third of patients with HE were readmitted within 30-days, and early readmission adversely impacted healthcare utilization and calendar-year mortality. With our proposed simple risk assessment model, patients at high risk for early readmissions can be identified to potentially avert poor outcomes.

Overuse of DVT Prophylaxis in Medical Inpatients

Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 5563-5563 ◽  
Author(s):  
Jing Deng ◽  
Lisa Thomas ◽  
Huijing Li ◽  
Elvin Varughesekutty ◽  
Qi Shi ◽  
...  
Keyword(s):  
Risk Assessment ◽  
High Risk ◽  
Conflicts Of Interest ◽  
Medical Center ◽  
Low Risk ◽  
Risk Of Bleeding ◽  
Dvt Prophylaxis ◽  
Increased Risk ◽  
Medical Inpatients ◽  
Nonsurgical Patients

Abstract Introduction: Unfractionated heparin (UFH), or low-molecular-weight heparin (LMWH), is commonly used with mechanical prophylaxis as an anticoagulant to reduce the risk for venous thromboembolism (VTE). However, overuse of these prophylaxes can increase the risk of bleeding, heparin-induced thrombocytopenia (HIT) and associated medical cost. PURPOSE: The aim of this study is to determine the incidence of DVT prophylaxis among hospitalized nonsurgical patients in a community medical center. To evaluate the use of the prophylaxes as described above, the investigators collected data on medical inpatients and addressed how to avoid overuse. Method: A retrospective inpatient chart review of 100 general internal medicine patients analyzed data using Padua Prediction Score as the risk estimate for deep venous thrombosis (DVT). High risk for VTE was defined by a cumulative score >=4 and low risk was a score <4. Only patients at increased risk for DVT but not at high risk for bleeding qualified for heparin treatment. Results: A total of 100 patients were surveyed. 54/100 (54%) patients had low risk of DVT with score < 4, and of those 29/54 (53.7%) patients received DVT prophylaxis with SCDs and/or heparin, and 17/54 (31.5%) patients were treated with heparin. All 46 patients with score >= 4 were treated with DVT prophylaxis of which 10 patients were only treated with heparin and 36 patients were given both mechanical and chemical prophylaxis. Collectively, 53.7% of the patients received treatment with DVT prophylaxis (p < 0.001, Chi-Square test). Discussion: In hospital settings, physicians want to avoid DVT or PE so they tend to consider patients as being at moderate risk for DVT without using any method of DVT risk assessment. This leads to unnecessary overuse of DVT prophylaxis on patients and may increase the risk of bleeding and injury. Conclusion: Our data suggests that there DVT prophylaxis including UFH and LMWH was over prescribed among patients with who had marginal risk for DVT in hospitalized nonsurgical patients in a community medical center. Clinical implications: To avoid the overuse of DVT prophylaxis, physicians need to follow guidelines. Education and inclusion of the guidelines in EHRs of information on VTE risk assessment for hospitalized medical patients upon admission may reduce unneeded DVT prophylaxis and the risk of bleeding and costs associated with additional care needs. Disclosures No relevant conflicts of interest to declare.

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