scholarly journals CoVA: An Acuity Score for Outpatient Screening that Predicts Coronavirus Disease 2019 Prognosis

2020 ◽  
Vol 223 (1) ◽  
pp. 38-46
Author(s):  
Haoqi Sun ◽  
Aayushee Jain ◽  
Michael J Leone ◽  
Haitham S Alabsi ◽  
Laura N Brenner ◽  
...  
Keyword(s):  
Critical Illness ◽  
Respiratory Illness ◽  
Outpatient Setting ◽  
Urgent Care ◽  
Receiver Operating Curve ◽  
Blood Oxygen Saturation ◽  
Single Center Study ◽  
Patients At Risk ◽  
Enterprise Data Warehouse ◽  
Acuity Score

Abstract Background We sought to develop an automatable score to predict hospitalization, critical illness, or death for patients at risk for coronavirus disease 2019 (COVID-19) presenting for urgent care. Methods We developed the COVID-19 Acuity Score (CoVA) based on a single-center study of adult outpatients seen in respiratory illness clinics or the emergency department. Data were extracted from the Partners Enterprise Data Warehouse, and split into development (n = 9381, 7 March–2 May) and prospective (n = 2205, 3–14 May) cohorts. Outcomes were hospitalization, critical illness (intensive care unit or ventilation), or death within 7 days. Calibration was assessed using the expected-to-observed event ratio (E/O). Discrimination was assessed by area under the receiver operating curve (AUC). Results In the prospective cohort, 26.1%, 6.3%, and 0.5% of patients experienced hospitalization, critical illness, or death, respectively. CoVA showed excellent performance in prospective validation for hospitalization (expected-to-observed ratio [E/O]: 1.01; AUC: 0.76), for critical illness (E/O: 1.03; AUC: 0.79), and for death (E/O: 1.63; AUC: 0.93). Among 30 predictors, the top 5 were age, diastolic blood pressure, blood oxygen saturation, COVID-19 testing status, and respiratory rate. Conclusions CoVA is a prospectively validated automatable score for the outpatient setting to predict adverse events related to COVID-19 infection.

scholarly journals COVID-19 Outpatient Screening: a Prediction Score for Adverse Events

2020 ◽  
Author(s):  
Haoqi Sun ◽  
Aayushee Jain ◽  
Michael J. Leone ◽  
Haitham S. Alabsi ◽  
Laura Brenner ◽  
...  
Keyword(s):  
Critical Illness ◽  
Prospective Cohort ◽  
Learning To Rank ◽  
Respiratory Illness ◽  
Outpatient Setting ◽  
Adverse Outcomes ◽  
Urgent Care ◽  
Blood Oxygen Saturation ◽  
Patients At Risk ◽  
Enterprise Data Warehouse

ABSTRACTBackgroundWe sought to develop an automatable score to predict hospitalization, critical illness, or death in patients at risk for COVID-19 presenting for urgent care during the Massachusetts outbreak.MethodsSingle-center study of adult outpatients seen in respiratory illness clinics (RICs) or the emergency department (ED), including development (n = 9381, March 7-May 2) and prospective (n = 2205, May 3-14) cohorts. Data was queried from Partners Enterprise Data Warehouse. Outcomes were hospitalization, critical illness or death within 7 days. We developed the COVID-19 Acuity Score (CoVA) using automatically extracted data from the electronic medical record and learning-to-rank ordinal logistic regression modeling. Calibration was assessed using predicted-to-observed ratio (E/O). Discrimination was assessed by C-statistics (AUC).ResultsIn the development cohort, 27.3%, 7.2%, and 1.1% of patients experienced hospitalization, critical illness, or death, respectively; and in the prospective cohort, 26.1%, 6.3%, and 0.5%. CoVA showed excellent performance in the development cohort (concurrent validation) for hospitalization (E/O: 1.00, AUC: 0.80); for critical illness (E/O: 1.00, AUC: 0.82); and for death (E/O: 1.00, AUC: 0.87). Performance in the prospective cohort (prospective validation) was similar for hospitalization (E/O: 1.01, AUC: 0.76); for critical illness (E/O 1.03, AUC: 0.79); and for death (E/O: 1.63, AUC=0.93). Among 30 predictors, the top five were age, diastolic blood pressure, blood oxygen saturation, COVID-19 testing status, and respiratory rate.ConclusionsCoVA is a prospectively validated automatable score to assessing risk for adverse outcomes related to COVID-19 infection in the outpatient setting.

Use of Ophthalmic Sonography to Evaluate for Intraocular Foreign Body in Both Outpatient and Emergency Department/Urgent Care Patients

2021 ◽  
pp. 875647932110332
Author(s):  
Patrick J. Fish
Keyword(s):  
Emergency Department ◽  
Foreign Body ◽  
Foreign Bodies ◽  
Outpatient Setting ◽  
Intraocular Foreign Body ◽  
Urgent Care ◽  
Posterior Chamber ◽  
Emergency Department Setting ◽  
Before And After ◽  
Glass Metal

Intraocular foreign bodies (IOFB) present differently depending on the type of material (wood, glass, metal) for the IOFB, extent of the injury, and location of the injury. IOFB and the injury can cause a perforation or penetration of the globe which can require more extensive treatment including surgery. Proper evaluation of the IOFB and injury can help to determine extent of the injury, the prognosis of the vision, and health of the eye before and after treatment but may be difficult for the physician depending on the view of the posterior chamber being compromised by media or simply by patient sensitivity. The extent of the injury may also prevent proper evaluation due to swelling, lacerations on the lids, or pain. Proper ophthalmic sonography can provide a quick evaluation of the globe for any IOFB in both the outpatient setting as well as emergency department setting. Evaluation via sonography may allow the physician to accurately diagnose and properly treat the patient to help restore and prevent further loss of vision.

scholarly journals 142. Implementing an Antimicrobial Stewardship Program in the Outpatient Setting

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S82-S82
Author(s):  
Travis B Nielsen ◽  
Maressa Santarossa ◽  
Beatrice D Probst ◽  
Laurie Labuszewski ◽  
Jenna Lopez ◽  
...  
Keyword(s):  
Primary Care ◽  
Antimicrobial Stewardship ◽  
Inappropriate Prescribing ◽  
The United States ◽  
Outpatient Setting ◽  
Urgent Care ◽  
Antibiotic Prescribing ◽  
Antimicrobial Stewardship Program ◽  
Post Intervention ◽  
Stewardship Program

Abstract Background Antimicrobial-resistant infections lead to increased morbidity, mortality, and healthcare costs. Among the most facile modifiable risk factors for developing resistance is inappropriate prescribing. The CDC estimates that 47 million (or ≥30% of) outpatient antibiotic prescriptions in the United States are unnecessary. This has provided impetus for expanding our antimicrobial stewardship program (ASP) into the outpatient setting. Initial goals included the following: continuous evaluation and reporting of antibiotic prescribing compliance; minimize underuse of antibiotics from delayed diagnoses and misdiagnoses; ensure proper drug, dose, and duration; improve the percentage of appropriate prescriptions. Methods To achieve these goals, we first sent a baseline survey to outpatient prescribers, assessing their understanding of stewardship and antimicrobial resistance. Questions were modeled from the Illinois Department of Public Health (IDPH) Precious Drugs & Scary Bugs Campaign. The survey was sent to prescribers at 19 primary care and three immediate/urgent care clinics. Compliance rates for prescribing habits were subsequently tracked via electronic health records and reported to prescribers in accordance with IRB approval. Results Prescribers were highly knowledgeable about what constitutes appropriate prescribing, with verified compliance rates highly concordant with self-reported rates. However, 74% of respondents reported intense pressure from patients to inappropriately prescribe antimicrobials. Compliance rates have been tracked since December 2018 and comparing pre- with post-intervention rates shows improvement in primary care since reporting rates to prescribers in August 2019. Conclusion Reporting compliance rates has been helpful in avoiding inappropriate antimicrobial therapy. However, the survey data reinforce the importance of behavioral interventions to bolster ASP efficacy in the outpatient setting. Going forward, posters modeled off of the IDPH template will be conspicuously exhibited in exam rooms, indicating institutional commitment to the enumerated ASP guidelines. Future studies will allow for comparison of pre- and post-intervention knowledge and prescriber compliance. Disclosures All Authors: No reported disclosures

Management of the Geriatric Patient

2018 ◽  
Author(s):  
Michelle Martinchek
Keyword(s):  
Weight Loss ◽  
Management Strategies ◽  
Outpatient Setting ◽  
Nursing Facilities ◽  
Geriatric Syndromes ◽  
Contributing Factors ◽  
Team Members ◽  
Patients At Risk ◽  
Management Techniques ◽  
The Impact

Geriatric syndromes are complex conditions in older adults that often have many contributing factors. Examples of common geriatric syndromes include cognitive impairment, delirium, falls, frailty, weight loss, and pressure ulcers. Identifying the patients at risk for these syndromes and enacting preventive measures are also important to try to reduce the impact that many of these syndromes may have on outcomes. These syndromes can happen across many different care settings including in the community, outpatient setting, hospital, and nursing facilities. Once these syndromes are identified, management techniques often include multifactorial approaches and use both nonpharmacologic and pharmacologic means. Management strategies may include assistance from interdisciplinary team members, families, and caregivers of the patient. This review contains 30 references, 4 figures, and 4 tables. Key Words: cognition, delirium, dementia, fall, frailty, gait, geriatric, malnutrition, pressure ulcer, weight loss

Improving the Identification of Patients at Risk of Postoperative Renal Failure after Cardiac Surgery

2006 ◽  
Vol 104 (1) ◽  
pp. 65-72 ◽  
Author(s):  
Duminda N. Wijeysundera ◽  
Keyvan Karkouti ◽  
W Scott Beattie ◽  
Vivek Rao ◽  
Joan Ivanov
Keyword(s):  
At Risk ◽  
Logistic Regression ◽  
Renal Function ◽  
Cardiac Surgery ◽  
Renal Insufficiency ◽  
Care Center ◽  
Tertiary Care ◽  
Receiver Operating Curve ◽  
Alternative Measure ◽  
Patients At Risk

Background Preoperative renal insufficiency is an important predictor of the need for postoperative renal replacement therapy (RRT). Serum creatinine (sCr) has a limited ability to identify patients with preoperative renal insufficiency because it varies with age, sex, and muscle mass. Calculated creatinine clearance (CrCl) is an alternative measure of renal function that may allow better estimation of renal reserve. Methods Data were prospectively collected for consecutive patients who underwent cardiac surgery requiring cardiopulmonary bypass at a tertiary care center. The relation between CrCl (Cockcroft-Gault equation) and RRT was initially described using descriptive statistics, logistic regression, and receiver operating curve analysis. Based on these analyses, preoperative renal insufficiency was defined as CrCl of 60 ml/min or less. Preoperative renal function was classified as moderate insufficiency (sCr > 133 microM), mild insufficiency (100 microM < sCr < or = 133 microM), occult insufficiency (sCr < or = 100 microM and CrCl < or = 60 ml/min), or normal function (sCr < or = 100 microM and CrCl > 60 ml/min). The independent association of preoperative renal function with RRT was subsequently determined using multiple logistic regression. Results Of the 10,751 patients in the sample, 137 (1.2%) required postoperative RRT. Approximately 13% of patients with normal sCr had occult renal insufficiency. Occult renal insufficiency was independently associated with RRT (odds ratio, 2.80; 95% confidence interval, 1.39-5.33). The magnitude of this risk was similar to patients with mild renal insufficiency (P = 0.73). Conclusions The inclusion of a simple CrCl-based criterion in preoperative assessments may improve identification of patients at risk of needing postoperative RRT.

scholarly journals Association of lipoprotein levels with sleep apnea: role of autonomic dysfunction

2021 ◽  
Vol 55 (1) ◽  
pp. 22-29
Author(s):  
Pavel Siarnik ◽  
Adela Penesova ◽  
Zofia Radikova ◽  
Alzbeta Hluchanova ◽  
Oto Hanus ◽  
...  
Keyword(s):  
Oxygen Saturation ◽  
Autonomic Dysfunction ◽  
Linear Regression Analysis ◽  
Area Under The Curve ◽  
Density Lipoprotein ◽  
Receiver Operating Curve ◽  
Blood Oxygen ◽  
Blood Oxygen Saturation ◽  
Significant Difference

Abstract Objectives. Although multiple mechanisms, including autonomic dysfunction, seem to link sleep-disordered breathing (SDB) with dyslipidemia in animal studies, the data in clinical studies are limited. The aim of this study was to explore the association of lipoprotein levels with SDB measures in healthy habitual snorers. We supposed that autonomic dysfunction is the linking mechanism. Methods. We enrolled 110 previously healthy subjects with complaints of habitual snoring. To assess SDB, polysomnography was performed. Blood samples for the analysis of total cholesterol (TC), high-density lipoprotein (HDL), low-density lipoprotein cholesterol (LDL), and triglycerides (TG) were obtained in a fasting condition after the polysomnography. Baroreflex sensitivity (BRS) was used to assess the autonomic dysfunction. Results. In stepwise multiple linear regression analysis, minimal nocturnal blood oxygen saturation (beta=–0.240, p=0.020) and neck circumference (beta=0.224, p=0.03) were the only significant contributors in model predicting TG. SDB measures were not identified as significant contributors in models predicting TC, LDL, and HDL. We failed to find any significant difference in BRS in SDB subjects when compared according to the presence or absence of hypercholesterolemia/ hypertriglyceridemia. In SDB subjects, the area under the curve in a receiver operating curve to predict hypercholesterolemia and hypertriglyceridemia by BRS was 0.468 (95% CI: 0.328–0.608) and 0.425 (95% CI: 0.304–0.546), respectively. Conclusions. Our results suggest that minimal nocturnal blood oxygen saturation is significant contributor in model predicting TG. No significant decrease in BRS was found in SDB subjects with hypercholesterolemia and hypertriglyceridemia. In SDB subjects, the role of autonomic dys-function in the development of dyslipidemia remains controversial.

scholarly journals Does Adjusted Global Antiphospholipid Syndrome Score (aGAPSS) Predict the Obstetric Outcome in Antiphospholipid Antibody Carriers? A Single-Center Study

2021 ◽  
Author(s):  
Sara Del Barrio-Longarela ◽  
Víctor M. Martínez-Taboada ◽  
Pedro Blanco-Olavarri ◽  
Ana Merino ◽  
Leyre Riancho-Zarrabeitia ◽  
...  
Keyword(s):  
Autoimmune Diseases ◽  
Antiphospholipid Syndrome ◽  
Adverse Pregnancy Outcome ◽  
Clinical Manifestations ◽  
Live Birth Rate ◽  
Response To Treatment ◽  
Antiphospholipid Antibody ◽  
Single Center Study ◽  
Patients At Risk ◽  
Adverse Pregnancy

AbstractThe adjusted Global Antiphospholipid Syndrome (APS) Score (aGAPSS) is a tool proposed to quantify the risk for antiphospholipid antibody (aPL)-related clinical manifestations. However, aGAPSS has been validated mainly for thrombotic events and studies on APS-related obstetric manifestations are scarce. Furthermore, the majority of them included patients with positive aPL and different autoimmune diseases. Here, we assess the utility of aGAPSS to predict the response to treatment in aPL carriers without other autoimmune disorders. One-hundred and thirty-seven women with aPL ever pregnant were included. Sixty-five meet the APS classification criteria, 61 had APS-related obstetric manifestations, and 11 were asymptomatic carriers. The patients’ aGAPSS risk was grouped as low (< 6, N = 73), medium (6–11, N = 40), and high risk (≥ 12, N = 24). Since vascular risk factors included in the aGAPSS were infrequent in this population (< 10%), the aGAPSS score was mainly determined by the aPL profile. Overall, the live birth rate was 75%, and 37.2% of the patients had at least one adverse pregnancy outcome (APO). When considering patients according to the aGAPSS (high, medium, and low risk), no significant differences were found for pregnancy loss (29.2%, 25%, and 21.9%) or APO (33.3%, 47.5%, and 32.9%). In the present study, including aPL carriers without other autoimmune diseases, aGAPSS is not a valuable tool to identify patients at risk for obstetric complications despite treatment. In these patients with gestational desire, in addition to the aPL profile, other pregnancy-specific factors, such as age or previous obstetric history, should be considered.

scholarly journals SARS-CoV-2 and its dynamic impact on emergency department preparedness and management

2020 ◽  
Vol 6 (2) ◽  
pp. 102-108
Author(s):  
Sohil Pothiawala
Keyword(s):  
Emergency Department ◽  
Close Contact ◽  
Clinical Pathways ◽  
Multiorgan Failure ◽  
Respiratory Illness ◽  
Severe Illness ◽  
Emergency Physicians ◽  
Dynamic Impact ◽  
Patients At Risk ◽  
Emerging Viral Diseases

Introduction: Emerging viral diseases (EVDs) pose a significant threat to public health. There have been a few viral epidemics in the last two decades. Coronavirus disease 2019 (COVID-19) is now a global pandemic. Objective: To provide emergency physicians an update on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and its dynamic impact on the emergency department (ED) in terms of preparedness and management of patients presenting to ED with suspected COVID-19 disease. Discussion: COVID-19 has a human-to-human transmission through close contact and even from asymptomatic carriers. Symptoms are similar to a viral respiratory illness. The disease is mild and self-limiting in most patients, but some develop severe illness like pneumonia, acute respiratory distress syndrome (ARDS) and multiorgan failure. Emergency physicians should prioritize early identification of these patients at risk, isolate them and after collaborating with relevant hospital and national authorities, develop clinical pathways to safely evaluate, manage and dispose patients with COVID-19. Various strategies for managing these patients in the ED are discussed. Disposition of these patients depends on symptoms and hemodynamic status and potential to self quarantine versus admission to an isolation facility. Conclusion: This review provides an overview of patients presenting to the ED with suspected COVID-19 and its impact on the ED. It reiterates the fact that emergency physicians, in close collaboration with relevant hospital authorities, play a pivotal role during EVDs. It emphasizes the need for pandemic preparedness, enabling us to better manage such events in the future.

Genetic and molecular expression patterns in critical illness

2016 ◽  
Author(s):  
Anthony F. Suffredini ◽  
J. Perren Cobb
Keyword(s):  
Critical Illness ◽  
Host Response ◽  
Expression Patterns ◽  
Host Responses ◽  
Critical Event ◽  
Severe Illness ◽  
Genome Wide ◽  
Patients At Risk ◽  
Molecular Expression ◽  
Acute Nature

Investigators who study RNA, proteins, or metabolites use analytic platforms that simultaneously measure changes in the relative abundance of thousands of molecules in a single biological sample. Over the last decade, the application of these high-throughput, genome-wide platforms to study critical illness and injury has generated huge quantities of data that require specialized computational skills for analysis. These investigations hold promise for improving our understanding of the host response, thereby transforming the practice of intensive care. This chapter summarizes recent technological and computational approaches used in genomics, proteomics, and metabolomics. While major advances have been made with these approaches when applied to chronic diseases, the acute nature of critical illness and injury has unique challenges. The rapidity of initiating events, the trajectory of inflammation that follows injury or infection and the interplay of host responses to a replicating infection, all have major effects on changes in gene and molecular expression. This complexity is further accentuated by measurement that may vary with the timing and type of tissue sampled after the critical event. In addition, the hunt for novel molecular markers holds promise for identifying patients at risk for severe illness and for enabling more individualized therapy.

scholarly journals Simplified Diagnosis of Critical Illness Polyneuropathy in Patients with Prolonged Mechanical Ventilation: A Prospective Observational Cohort Study

2020 ◽  
Vol 9 (12) ◽  
pp. 4029
Author(s):  
Chul Jung ◽  
Nak-Jun Choi ◽  
Won Jun Kim ◽  
Yoon Mok Chun ◽  
Hak-Jae Lee ◽  
...  
Keyword(s):  
Mechanical Ventilation ◽  
Critical Illness ◽  
Clinical Outcomes ◽  
Diagnostic Criteria ◽  
Early Identification ◽  
Prolonged Mechanical Ventilation ◽  
Critical Illness Polyneuropathy ◽  
Single Center Study ◽  
Sum Score ◽  
Observational Cohort

Background: Although early identification of critical illness polyneuropathy (CIP) is necessary, the established diagnostic criteria have several limitations in the intensive care unit (ICU) setting. The purpose of this study was to define simplified diagnostic criteria of CIP that best predict clinical outcomes. Methods: This prospective, single-center study included 41 ICU patients with prolonged mechanical ventilation (≥21 days). We applied three different sets of diagnostic criteria (combining the results of the Medical Research Council (MRC) sum score and nerve conduction studies (NCS)) for CIP in order to identify the criteria with the best predictive power for clinical outcomes. Results: The simplified diagnosis of CIP meeting the criteria, i.e., that the MRC sum score < 48 and amplitudes of the tibial and sural nerve < 80% of the lower limit of normal, showed the strongest association with 0 ventilator-free days at day 60 (odds ratio, 6.222; p = 0.029). Conclusions: The diagnostic criteria combining the MRC sum score and the tibial and the sural NCS were identified as the simplified criteria of CIP that best predicted the clinical outcomes. The implementation of these simplified criteria may allow for early identification of CIP in the ICU, thereby contributing to prompt interventions for patients with a poor prognosis.

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