89. Construction of an Electronic Algorithm to Efficiently Target Antimicrobial Stewardship Efforts for Adults Hospitalized with Community-acquired Pneumonia

Abstract Background Although antibiotic stewardship programs (ASPs) have had success in curtailing inappropriate antibiotic use, they remain time- and labor-intensive. To expand the reach of ASPs, approaches to more efficiently target ASP efforts are urgently needed. We developed and validated an electronic algorithm to identify inappropriate antibiotic use in patients hospitalized with community-acquired pneumonia (CAP). Methods Within the Hospital of the University of Pennsylvania (HUP) and Penn Presbyterian Medical Center (PPMC), we used ICD-10 diagnostic codes to identify inpatient patient encounters for pneumonia between 3/15/17 – 3/14/18 for which patients received a systemic antibiotic in the first 48 hours of hospitalization. Exclusion criteria included transfer from another facility, intensive care unit admission or death in first 48 hours, immunocompromising condition, or specific comorbidities. We randomly selected 300 subjects (150-HUP, 150-PPMC). Inappropriateness of antibiotic use based on chart review served as the basis for assessment of the electronic algorithm which was constructed using only data in the electronic health record (EHR). Criteria for appropriate prescribing, choice of antibiotic, and duration of therapy were based on established hospital and IDSA guidelines. Results Of 300 subjects, median age was 60, 53% were female, and median hospital stay was 4.25 days. Of the 300 subjects, 237 (79%) were admitted to general medicine, hospitalist, family medicine, or geriatrics services. On chart review, 295 (98%) subjects were correctly diagnosed with CAP. Of these subjects, the choice of initial antibiotic(s) was appropriate in 263 (89%). Of these 263 subjects, 222 (84%) had an appropriate duration of therapy. Test characteristics of the EHR algorithm (compared to chart review) are noted in the Table. Conclusion An electronic algorithm for identifying inappropriate prescribing, antibiotic choice, and duration is highly accurate for patients hospitalized for CAP. This algorithm could be used to efficiently target ASP initiatives. The impact of interventions based on this algorithm should be tested in future studies. Test Characteristics of Electronic Algorithm for Inappropriate Prescribing, Agent, and Duration Disclosures All Authors: No reported disclosures

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151. An Electronic Algorithm to Better Target Antimicrobial Stewardship Program (ASP) Efforts for Children Hospitalized with Community-Acquired Pneumonia (CAP)

Open Forum Infectious Diseases ◽

10.1093/ofid/ofaa439.196 ◽

2020 ◽

Vol 7 (Supplement_1) ◽

pp. S85-S86

Author(s):

Jeffrey Gerber ◽

Robert Grundmeier ◽

Keith W Hamilton ◽

Lauri Hicks ◽

Melinda M Neuhauser ◽

...

Keyword(s):

Chart Review ◽

Inappropriate Prescribing ◽

Antibiotic Use ◽

Community Acquired Pneumonia ◽

Duration Of Therapy ◽

Test Characteristics ◽

Diagnostic Codes ◽

Stewardship Program ◽

Icd 10 ◽

The Impact

Abstract Background Pediatric antibiotic stewardship programs (ASPs) have been successful in decreasing inappropriate antibiotic use. However, they require considerable time and effort. Approaches to increase ASP efficiency are urgently needed. We developed and validated an electronic algorithm to identify inappropriate antibiotic use in children hospitalized with community-acquired pneumonia (CAP). Methods At Children’s Hospital of Philadelphia (CHOP), we used ICD-10 diagnostic codes to identify inpatient patient encounters for pneumonia between 3/15/17 – 3/14/18 for which patients received a systemic antibiotic in the first 48 hours of hospitalization. Exclusion criteria included transfer from another facility, intensive care unit admission or death in first 48 hours, immunocompromising condition, or specific comorbidities. We randomly selected 150 subjects. Inappropriate antibiotic use based on chart review served as the basis for assessment of the electronic algorithm which was constructed using only data in the electronic health record (EHR). Criteria for appropriate prescribing, choice of antibiotic, and duration of therapy were based on established CHOP and IDSA/PIDS guidelines. Results Of 148 eligible subjects, median age was 3.8, 48% were female, and 129 (86%) were admitted to a general pediatrics service. On chart review, 147 (99%) subjects were correctly diagnosed with CAP. Of these subjects, the choice of initial antibiotic(s) was appropriate in 133 (90%). Of the 147 subjects, 137 (93%) had an appropriate duration of therapy. Test characteristics of the EHR algorithm (compared to chart review) are noted in the Table. Conclusion In pediatric patients hospitalized with CAP, the electronic algorithm for identifying inappropriate prescribing, antibiotic choice, and duration was highly accurate. This algorithm could have considerable utility in targeting ASP initiatives. The impact of interventions based on this algorithm should be tested in the future Test Characteristics of Electronic Algorithm for Inappropriate Prescribing, Agent, and Duration Disclosures All Authors: No reported disclosures

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154. Development of an Electronic Algorithm to Target Outpatient Antimicrobial Stewardship Efforts for Adults with Acute Pharyngitis

Open Forum Infectious Diseases ◽

10.1093/ofid/ofaa439.199 ◽

2020 ◽

Vol 7 (Supplement_1) ◽

pp. S87-S87

Author(s):

Ebbing Lautenbach ◽

Keith W Hamilton ◽

Robert Grundmeier ◽

Melinda M Neuhauser ◽

Lauri Hicks ◽

...

Keyword(s):

Chart Review ◽

Inappropriate Prescribing ◽

Antibiotic Use ◽

University Of Pennsylvania ◽

Antibiotic Prescribing ◽

Acute Pharyngitis ◽

Test Characteristics ◽

Appropriate Prescribing ◽

Concurrent Infections ◽

The Impact

Abstract Background Although most antibiotic use occurs in outpatients, antibiotic stewardship programs (ASPs) have primarily focused on inpatients. A major challenge for outpatient ASPs is lack of accurate and accessible electronic data to target interventions. We developed and validated an electronic algorithm to identify inappropriate antibiotic use for adult outpatients with acute pharyngitis. Methods In the University of Pennsylvania Health System, we used ICD-10 diagnostic codes to identify patient encounters for acute pharyngitis at outpatient practices between 3/15/17 – 3/14/18. Exclusion criteria included immunocompromising conditions, comorbidities, and concurrent infections that might require antibiotic use. We randomly selected 300 eligible subjects. Inappropriate antibiotic use based on chart review served as the basis for assessment of the electronic algorithm which was constructed using only data in the electronic health record (EHR). Criteria for appropriate prescribing, choice of antibiotic, and duration included positive streptococcal testing, use of penicillin/amoxicillin (absent b-lactam allergy), and 10 days maximum duration of therapy. Results Of 300 subjects, median age was 42, 75% were female, 64% were seen by internal medicine (vs. family medicine), and 69% were seen by a physician (vs. advanced practice provider). On chart review, 127 (42%) subjects received an antibiotic, of which 29 had a positive streptococcal test and 4 had another appropriate indication. Thus, 74% (94/127) of patients received antibiotics inappropriately. Of the 29 patients who received appropriate prescribing, 27 (93%) received an appropriate antibiotic. Finally, of the 29 patients who were appropriately treated, 29 (100%) received the correct duration. Test characteristics of the EHR algorithm (compared to chart review) are noted in the Table. Conclusion Inappropriate antibiotic prescribing for acute pharyngitis is common. An electronic algorithm for identifying inappropriate prescribing, antibiotic choice, and duration is highly accurate. This algorithm could be used to efficiently assess prescribing among practices and individual clinicians. The impact of interventions based on this algorithm should be tested in future work. Test Characteristics of Electronic Algorithm for Inappropriate Prescribing, Agent, and Duration Disclosures All Authors: No reported disclosures

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91. Development of an Electronic Algorithm to Identify Inappropriate Antibiotic Prescribing for Pediatric Otitis Media

Open Forum Infectious Diseases ◽

10.1093/ofid/ofaa439.401 ◽

2020 ◽

Vol 7 (Supplement_1) ◽

pp. S176-S177

Author(s):

Ebbing Lautenbach ◽

Jeffrey Gerber ◽

Robert Grundmeier ◽

Keith W Hamilton ◽

Lauri Hicks ◽

...

Keyword(s):

Electronic Health Record ◽

Otitis Media ◽

Chart Review ◽

Antibiotic Use ◽

Antibiotic Prescribing ◽

Health Record ◽

Test Characteristics ◽

Academic Practices ◽

Electronic Health ◽

The Impact

Abstract Background Antibiotic stewardship (AS) interventions have primarily focused on acute care settings. The majority of antibiotic use, however, occurs in outpatients. The electronic health record (EHR) might provide an effective and efficient tool for outpatient AS. We aimed to develop and validate an electronic algorithm to identify inappropriate antibiotic use for pediatric outpatients with acute otitis media (AOM). Methods Within the Children’s Hospital of Philadelphia (CHOP) Care Network, we used ICD-10 diagnostic codes to identify patient encounters for AOM at any CHOP practice between 3/15/17 – 3/14/18. Exclusion criteria included underlying immunocompromising condition, comorbidities, and concurrent infections that might influence antibiotic use. We randomly selected 450 eligible subjects (150 each from academic practices, non-academic practices, and urgent care). Inappropriate antibiotic use based on CHOP and professional society guidelines were assessed via chart review and served as the basis for assessment of the electronic algorithm which was constructed using only data in the electronic health record (EHR). Criteria for appropriateness focused on the decision to prescribe, the choice of antibiotic, and duration of therapy. Results Of 450 subjects, median age was 2, 46% were female, and 88% were evaluated by a physician (vs. advanced practice provider). On chart review, the prescribing decision was correct in 438 (97%), of which 25 appropriately received no antibiotics. Of the 413 subjects who were appropriately prescribed an antibiotic, the choice of antibiotic was appropriate in 37 (9%). Finally, of the 413 patients who were appropriately treated, 412 (99.7%) received the correct duration. Test characteristics of the EHR algorithm (compared to chart review) are noted in the Table. Conclusion For children with AOM, an electronic algorithm for identification of inappropriate antibiotic prescribing is highly accurate. This algorithm can also highlight for which elements of prescribing the impact of an intervention might be greatest (i.e., choice of agent). Future work should validate this approach in other health systems and geographic regions and evaluate the impact of an audit and feedback intervention based on this tool. Table. Test Characteristics of Electronic Algorithm for Inappropriate Prescribing, Agent, and Duration Disclosures All Authors: No reported disclosures

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Development of an Electronic Algorithm to Identify Inappropriate Antibiotic Prescribing for Pediatric Pharyngitis

Infection Control and Hospital Epidemiology ◽

10.1017/ice.2020.728 ◽

2020 ◽

Vol 41 (S1) ◽

pp. s188-s189

Author(s):

Jeffrey Gerber ◽

Robert Grundmeier ◽

Keith Hamilton ◽

Lauri Hicks ◽

Melinda Neuhauser ◽

...

Keyword(s):

Predictive Value ◽

Gold Standard ◽

Antibiotic Stewardship ◽

Chart Review ◽

Antibiotic Use ◽

Audit And Feedback ◽

Urgent Care ◽

Antibiotic Prescribing ◽

Tract Infections ◽

The Impact

Background: Antibiotic overuse contributes to antibiotic resistance and unnecessary adverse drug effects. Antibiotic stewardship interventions have primarily focused on acute-care settings. Most antibiotic use, however, occurs in outpatients with acute respiratory tract infections such as pharyngitis. The electronic health record (EHR) might provide an effective and efficient tool for outpatient antibiotic stewardship. We aimed to develop and validate an electronic algorithm to identify inappropriate antibiotic use for pediatric outpatients with pharyngitis. Methods: This study was conducted within the Children’s Hospital of Philadelphia (CHOP) Care Network, including 31 pediatric primary care practices and 3 urgent care centers with a shared EHR serving >250,000 children. We used International Classification of Diseases, Tenth Revision (ICD-10) codes to identify encounters for pharyngitis at any CHOP practice from March 15, 2017, to March 14, 2018, excluding those with concurrent infections (eg, otitis media, sinusitis), immunocompromising conditions, or other comorbidities that might influence the need for antibiotics. We randomly selected 450 features for detailed chart abstraction assessing patient demographics as well as practice and prescriber characteristics. Appropriateness of antibiotic use based on chart review served as the gold standard for evaluating the electronic algorithm. Criteria for appropriate use included streptococcal testing, use of penicillin or amoxicillin (absent β-lactam allergy), and a 10-day duration of therapy. Results: In 450 patients, the median age was 8.4 years (IQR, 5.5–9.0) and 54% were women. On chart review, 149 patients (33%) received an antibiotic, of whom 126 had a positive rapid strep result. Thus, based on chart review, 23 subjects (5%) diagnosed with pharyngitis received antibiotics inappropriately. Amoxicillin or penicillin was prescribed for 100 of the 126 children (79%) with a positive rapid strep test. Of the 126 children with a positive test, 114 (90%) received the correct antibiotic: amoxicillin, penicillin, or an appropriate alternative antibiotic due to b-lactam allergy. Duration of treatment was correct for all 126 children. Using the electronic algorithm, the proportion of inappropriate prescribing was 28 of 450 (6%). The test characteristics of the electronic algorithm (compared to gold standard chart review) for identification of inappropriate antibiotic prescribing were sensitivity (99%, 422 of 427); specificity (100%, 23 of 23); positive predictive value (82%, 23 of 28); and negative predictive value (100%, 422 of 422). Conclusions: For children with pharyngitis, an electronic algorithm for identification of inappropriate antibiotic prescribing is highly accurate. Future work should validate this approach in other settings and develop and evaluate the impact of an audit and feedback intervention based on this tool.Funding: NoneDisclosures: None

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Development of an Electronic Algorithm to Target Outpatient Antimicrobial Stewardship Efforts for Acute Bronchitis

Infection Control and Hospital Epidemiology ◽

10.1017/ice.2020.510 ◽

2020 ◽

Vol 41 (S1) ◽

pp. s32-s32

Author(s):

Ebbing Lautenbach ◽

Keith Hamilton ◽

Robert Grundmeier ◽

Melinda Neuhauser ◽

Lauri Hicks ◽

...

Keyword(s):

Antimicrobial Stewardship ◽

Predictive Value ◽

Gold Standard ◽

Chart Review ◽

Acute Bronchitis ◽

Antibiotic Use ◽

Antibiotic Prescribing ◽

Diagnostic Codes ◽

Icd 10 ◽

The Impact

Background: Antibiotic resistance has increased at alarming rates, driven predominantly by antibiotic overuse. Although most antibiotic use occurs in outpatients, antimicrobial stewardship programs have primarily focused on inpatient settings. A major challenge for outpatient stewardship is the lack of accurate and accessible electronic data to target interventions. We sought to develop and validate an electronic algorithm to identify inappropriate antibiotic use for outpatients with acute bronchitis. Methods: This study was conducted within the University of Pennsylvania Health System (UPHS). We used ICD-10 diagnostic codes to identify encounters for acute bronchitis at any outpatient UPHS practice between March 15, 2017, and March 14, 2018. Exclusion criteria included underlying immunocompromising condition, other comorbidity influencing the need for antibiotics (eg, emphysema), or ICD-10 code at the same visit for a concurrent infection (eg, sinusitis). We randomly selected 300 (150 from academic practices and 150 from nonacademic practices) eligible subjects for detailed chart abstraction that assessed patient demographics and practice and prescriber characteristics. Appropriateness of antibiotic use based on chart review served as the gold standard for assessment of the electronic algorithm. Because antibiotic use is not indicated for this study population, appropriateness was assessed based upon whether an antibiotic was prescribed or not. Results: Of 300 subjects, median age was 61 years (interquartile range, 50–68), 62% were women, 74% were seen in internal medicine (vs family medicine) practices, and 75% were seen by a physician (vs an advanced practice provider). On chart review, 167 (56%) subjects received an antibiotic. Of these subjects, 1 had documented concern for pertussis and 4 had excluding conditions for which there were no ICD-10 codes. One received an antibiotic prescription for a planned dental procedure. Thus, based on chart review, 161 (54%) subjects received antibiotics inappropriately. Using the electronic algorithm based on diagnostic codes, underlying and concurrent conditions, and prescribing data, the number of subjects with inappropriate prescribing was 170 (56%) because 3 subjects had antibiotic prescribing not noted based on chart review. The test characteristics of the electronic algorithm (compared to gold standard chart review) for identification of inappropriate antibiotic prescribing were the following: sensitivity, 100% (161 of 161); specificity, 94% (130 of 139); positive predictive value, 95% (161 of 170); and negative predictive value, 100% (130 of 130). Conclusions: For outpatients with acute bronchitis, an electronic algorithm for identification of inappropriate antibiotic prescribing is highly accurate. This algorithm could be used to efficiently assess prescribing among practices and individual clinicians. The impact of interventions based on this algorithm should be tested in future studies.Funding: NoneDisclosures: None

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154. Antibiotic Use During Three Separate Waves of the COVID-19 Pandemic at a Large Academic Medical Center in Detroit, MI

Open Forum Infectious Diseases ◽

10.1093/ofid/ofab466.356 ◽

2021 ◽

Vol 8 (Supplement_1) ◽

pp. S188-S189

Author(s):

Deepika Sivakumar ◽

Shelbye R Herbin ◽

Raymond Yost ◽

Marco R Scipione

Keyword(s):

Retrospective Review ◽

Bacterial Pneumonia ◽

Medical Center ◽

Academic Medical Center ◽

Antibiotic Use ◽

Percent Change ◽

Academic Medical ◽

Days Of Therapy ◽

Time Periods ◽

The Impact

Abstract Background Inpatient antibiotic use early on in the COVID-19 pandemic may have increased due to the inability to distinguish between bacterial and COVID-19 pneumonia. The purpose of this study was to determine the impact of COVID-19 on antimicrobial usage during three separate waves of the COVID-19 pandemic. Methods We conducted a retrospective review of patients admitted to Detroit Medical Center between 3/10/19 to 4/24/21. Median days of therapy per 1000 adjusted patient days (DOT/1000 pt days) was evaluated for all administered antibiotics included in our pneumonia guidelines during 4 separate time periods: pre-COVID (3/3/19-4/27/19); 1st wave (3/8/20-5/2/20); 2nd wave (12/6/21-1/30/21); and 3rd wave (3/7/21-4/24/21). Antibiotics included in our pneumonia guidelines include: amoxicillin, azithromycin, aztreonam, ceftriaxone, cefepime, ciprofloxacin, doxycycline, linezolid, meropenem, moxifloxacin, piperacillin-tazobactam, tobramycin, and vancomycin. The percent change in antibiotic use between the separate time periods was also evaluated. Results An increase in antibiotics was seen during the 1st wave compared to the pre-COVID period (2639 [IQR 2339-3439] DOT/1000 pt days vs. 2432 [IQR 2291-2499] DOT/1000 pt days, p=0.08). This corresponded to an increase of 8.5% during the 1st wave. This increase did not persist during the 2nd and 3rd waves of the pandemic, and the use decreased by 8% and 16%, respectively, compared to the pre-COVID period. There was an increased use of ceftriaxone (+6.5%, p=0.23), doxycycline (+46%, p=0.13), linezolid (+61%, p=0.014), cefepime (+50%, p=0.001), and meropenem (+29%, p=0.25) during the 1st wave compared to the pre-COVID period. Linezolid (+39%, p=0.013), cefepime (+47%, p=0.08) and tobramycin (+47%, p=0.05) use remained high during the 3rd wave compared to the pre-COVID period, but the use was lower when compared to the 1st and 2nd waves. Figure 1. Antibiotic Use 01/2019 to 04/2019 Conclusion Antibiotics used to treat bacterial pneumonia during the 1st wave of the pandemic increased and there was a shift to broader spectrum agents during that period. The increased use was not sustained during the 2nd and 3rd waves of the pandemic, possibly due to the increased awareness of the differences between patients who present with COVID-19 pneumonia and bacterial pneumonia. Disclosures All Authors: No reported disclosures

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Pharmacist-Driven Implementation of Outpatient Antibiotic Prescribing Algorithms Improves Guideline Adherence in the Emergency Department

Journal of Pharmacy Practice ◽

10.1177/0897190020930979 ◽

2020 ◽

pp. 089719002093097

Author(s):

Kristin Stoll ◽

Erik Feltz ◽

Steven Ebert

Keyword(s):

Emergency Department ◽

Clinical Practice ◽

Guideline Adherence ◽

Inappropriate Prescribing ◽

Community Acquired Pneumonia ◽

Urgent Care ◽

Antibiotic Prescribing ◽

Duration Of Therapy ◽

Tract Infections ◽

Selection Of

Background: Inappropriate prescribing of antibiotics has been identified as the most important modifiable risk factor for antimicrobial resistance. Objective: The purpose of this project was to improve guideline adherence and promote optimal use of outpatient antibiotics in the emergency department (ED). Methods: Prescribing algorithms for community-acquired pneumonia (CAP), skin and soft tissue infections (SSTI), and urinary tract infections (UTI) were developed to integrate clinical practice guideline recommendations with local ED antibiogram data. Outcomes were evaluated through chart review of patients prescribed outpatient antibiotics by ED providers. The primary outcome was adherence to clinical practice guidelines, defined as the selection of an appropriate antibiotic agent, dose, and duration of therapy for each patient discharged. Results: When compared to patients discharged from the ED prior to algorithm implementation (N = 325), the post-implementation group (N = 353) received more antibiotic prescriptions that were completely guideline adherent (61.5% vs 11.7%, P < .00001). Post-implementation discharge orders demonstrated improvement in the selection of an appropriate agent (87.3% vs 45.5%, P < .00001), dose (91.5% vs 77.2%, P < .00001), and duration of therapy (71.1% vs 39.1%, P < .01). Additionally, fluoroquinolone prescribing rates were reduced (2.3% vs 12.3%, P < .00001). A reduction in all-cause 30-day returns to the ED or urgent care was observed (15.3% vs 21.5%, P = .036). Conclusion: Pharmacist-driven implementation of antibiotic prescribing algorithms improved guideline adherence in the outpatient treatment of CAP, SSTI, and UTI.

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1043. Love Thy Steward – Who Does Not Love Antimicrobial Stewardship?

Open Forum Infectious Diseases ◽

10.1093/ofid/ofz360.907 ◽

2019 ◽

Vol 6 (Supplement_2) ◽

pp. S367-S368

Author(s):

Aamir S Kazi ◽

Sarah Sansom ◽

Christy Varughese ◽

Hayley A Hodgson ◽

Sarah Y Won

Keyword(s):

Infectious Disease ◽

Antimicrobial Stewardship ◽

Service Providers ◽

Medical Center ◽

General Medicine ◽

Immunocompromised Host ◽

Antibiotic Prescribing ◽

Alternative Communication ◽

Physician Perception ◽

The Impact

Abstract Background The impact of antimicrobial stewardship programs (ASPs) depends on physician perception of antimicrobial stewardship and institutional antibiotic prescribing culture. At Rush University Medical Center (RUMC), we conducted an antimicrobial stewardship study targeting inpatient levofloxacin (FQ) use and assessed rates of implementation of recommendations (IORs) by general medicine (GM), vs. surgical services (SS) (general surgery, urology, orthopedics and neurosurgery), vs. transplant surgery-immunocompromised host (T-ICH) teams when made by either infectious disease pharmacists (IDPharmD) or infectious disease fellows (IDMDF). Methods Between August 13, 2018 and January 15, 2019 at RUMC, IDPharmDs reviewed 251 inpatients on FQ, and made ASP recommendations on 36 (14%) that were communicated via telephone. No scripted discussion or note was utilized. From January 15, 2019 to April 19, 2019, an IDMDF reviewed 207 inpatients on FQ, and made ASP recommendations on 47 (22%). IDMDF’s recommendations were communicated via a scripted discussion describing the role of ASP, highlighting the importance of optimizing FQ use due to toxicity, low rates of RUMC’s FQ susceptibilities and to decrease rates of resistance. Telephone recommendations were made to the primary team house staff or attending followed by a templated electronic note left in the medical chart. Rates of IORs were assessed during each period and by each group. Results In 20 out of 83 recommendations (24%), no antibiotic was indicated (Figure 1). GM teams had the highest overall (IDPharmD + IDMDF) IOR (76%), compared with 40% IOR for both SS and T-ICH groups. For all groups, the scripted IDMDF recommendations had higher IOR compared with the nonscripted IDPharmD recommendations (GM 89% vs. 61%; SS 50% vs. 29%; T-ICH 50% vs. 0%). Conclusion ASP interventions using scripted discussions and notes by an IDMDF were more effective than nonscripted IDPharmD interventions across all service lines. Both interventions were less successful with SS or T-ICH compared with GM services. These findings demonstrate the need for further research to understand the importance of scripted vs. nonscripted communication methods by pharmacists and ID physicians, and to develop alternative communication models for nongeneral medicine service providers. Disclosures All authors: No reported disclosures.

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2203. Patient-Specific Risk Stratification to Identify Patients at High and Low Risk for P. aeruginosa in Community-Acquired Pneumonia

Open Forum Infectious Diseases ◽

10.1093/ofid/ofz360.1883 ◽

2019 ◽

Vol 6 (Supplement_2) ◽

pp. S751-S751

Author(s):

William Justin Moore ◽

Caroline Cruce ◽

Karolina Harkabuz ◽

Shereen Salama ◽

Sarah Sutton ◽

...

Keyword(s):

Risk Factors ◽

Logistic Regression ◽

Risk Stratification ◽

Antibiotic Use ◽

Community Acquired Pneumonia ◽

Low Risk ◽

Patient Specific ◽

Stepwise Logistic Regression ◽

Case Status ◽

The Impact

Abstract Background Pseudomonas aeruginosa (PsA) is an infrequent pathogen associated with poor outcomes in community-acquired pneumonia (CAP). Identifying patients at high and low-risk for PsA in CAP is necessary to reduce inappropriate and overly broad-spectrum antibiotic use. We evaluated the distribution of risk-factors in hospitalized CAP patients with and without PsA infection. Methods Design: retrospective, single-center, case–control study. Inclusion: hospitalized CAP patients admitted to the general medicine wards between January 1, 2014 and May 29, 2018. Exclusion: cystic fibrosis, ≥ 3 admissions within 30 days, CAP requiring ICU admission, and death within 48 hours of admission. Case patients had PsA in respiratory or blood cultures during the index CAP admission. Controls were randomly selected targeting a 3:1 ratio. Comorbidities, pneumonia severity index, and m-APACHE II were assessed. Gram-negative risk factors defined by Shindo et al. 2013 (PMID: 23855620) and validated by Kobayashi et al. (2018; PMID: 30349327) were scored for each patient. Stepwise logistic regression was used to identify covariates that distinguished cases from controls at a P < 0.2; these were then used to generate propensity weights (i.e., inverse-probability conditioned on covariates). Unadjusted and adjusted odds ratios for case status were estimated using logistic regression according to: the total number of risk factors present and threshold values, respectively. All analyses were conducted using IC Stata (v.14.2). Results 54 cases and 152 controls were included. The distribution of the patient-specific sum of risk factors for PsA is shown in Figure 1. The univariate OR for case status was 4.29 (95% CI:1.55–11.9) at n = 3 risk factors, which was similar after propensity weight adjustment [aOR = 4.64 (95% CI: 1.32–16.3)]. The univariate OR of case status was 2.98 among patients with ≥ 3 risk factors (95% CI: 1.34–6.62), which was similar after propensity weight adjustment [aOR = 2.8 (95% CI: 1.02–7.72)], and correct classification was 73.8%. Conclusion At a threshold of ≥ 3 PsA risk factors, cases and controls were well classified, even after adjusting for propensity weights. The impact of patient-specific PsA risk-stratification on CAP outcomes and appropriate antibiotic use should be evaluated. Disclosures All authors: No reported disclosures.

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646 The Impact of the COVID-19 Pandemic on Nighttime Room Entries and Sleep Disruptions for Pediatric Patients

SLEEP ◽

10.1093/sleep/zsab072.644 ◽

2021 ◽

Vol 44 (Supplement_2) ◽

pp. A253-A253

Author(s):

Joseph Riehm ◽

Vineet Arora ◽

Swetha Tatineni ◽

Amarachi Erondu ◽

Christine Mozer ◽

...

Keyword(s):

Pediatric Patients ◽

Medical Center ◽

Academic Medical Center ◽

General Medicine ◽

Convenience Sample ◽

Black African ◽

Sleep Quantity ◽

As Stress ◽

Mood Scale ◽

The Impact

Abstract Introduction Sleep is critical to children’s health and recovery, but pediatric inpatient sleep is often disrupted by nonessential overnight interruptions. The COVID-19 pandemic necessitated social distancing policies which minimized contact with low-risk patients. These policies have the potential to decrease overnight disruptions and improve sleep for hospitalized patients. Methods This cohort study compared sleep disruptions for pediatric inpatients admitted prior to (Sep 2018 – Feb 2020) and during (Apr 2020 – Aug 2020) the COVID-19 pandemic at a single site, urban academic medical center. Objective disruptions were measured as room entries detected by hand hygiene sensors for occupied rooms pre-pandemic (n_average=56) and during the pandemic (n_average=48) for 69 and 154 nights, respectively. Subjective reports of overnight disruptions, sleep quantity, and caregiver mood were measured by surveys adopted from validated tools: the Karolinska Sleep Log, Potential Hospital Sleep Disruptions and Noises Questionnaire, and Visual Analog Mood Scale. Caregivers of a convenience sample of pediatric general medicine inpatients completed surveys. Caregivers pre-pandemic were surveyed in person, and during the pandemic, surveys were conducted over the phone. Results 293 pre-pandemic (age_patients=4.1±4.4 years) and 154 pandemic (age_patients=8.7±5.6 years) surveys were collected from caregivers. The majority (71% pre-pandemic and 52% pandemic) of the study population identified as Black/African American. Nighttime room entries initially decreased 36% (95% CI: 30%, 42%, p<0.001), then returned towards pre-pandemic levels as the COVID-19 hospital caseload decreased. Despite this, caregivers reported more disrupted patient sleep (p<0.001) due to tests (21% vs. 38%) as well as stress (30% vs. 49%), anxiety (23% vs. 41%), and pain (23% vs. 48%). Caregivers also reported children slept 61 minutes less (95% CI: 12 min, 110 min, p<0.001) and had more awakenings. Caregivers self-reported feeling more sad and weary, less calm, and worse overall (p<0.001 for all). Conclusion Despite fewer objective room entries, caregivers reported increased sleep disruptions and an hour less nighttime sleep with more awakenings during the pandemic for pediatric patients. Caregivers also self-reported worse mood. This highlights the importance of addressing subjective perceptions and experiences of hospitalized children and their caregivers during hospitalization. Support (if any):

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