Long-Term Outcomes Associated With β-Lactam Allergies

Importance

β-lactam (BL) allergies are the most common drug allergy worldwide, but most are reported in error. BL allergies are also well-established risk factors for adverse drug events and antibiotic-resistant infections during inpatient health care encounters, but the understanding of the long-term outcomes of patients with BL allergies remains limited.

Objective

To evaluate the long-term clinical outcomes of patients with BL allergies.

Design, Setting, and Participants

This longitudinal retrospective cohort study was conducted at a single regional health care system in western Pennsylvania. Electronic health records were analyzed for patients who had an index encounter with a diagnosis of sepsis, pneumonia, or urinary tract infection between 2007 and 2008. Patients were followed-up until death or the end of 2018. Data analysis was performed from January 2022 to January 2024.

Exposure

The presence of any BL class antibiotic in the allergy section of a patient's electronic health record, evaluated at the earliest occurring observed health care encounter.

Main Outcomes and Measures

The primary outcome was all-cause mortality, derived from the Social Security Death Index. Secondary outcomes were defined using laboratory and microbiology results and included infection with methicillin-resistant Staphylococcus aureus (MRSA), Clostridium difficile, or vancomycin-resistant Enterococcus (VRE) and severity and occurrence of acute kidney injury (AKI). Generalized estimating equations with a patient-level panel variable and time exposure offset were used to evaluate the odds of occurrence of each outcome between allergy groups.

Results

A total of 20 092 patients (mean [SD] age, 62.9 [19.7] years; 12 231 female [60.9%]), of whom 4211 (21.0%) had BL documented allergy and 15 881 (79.0%) did not, met the inclusion criteria. A total of 3513 patients (17.5%) were Black, 15 358 (76.4%) were White, and 1221 (6.0%) were another race. Using generalized estimating equations, documented BL allergies were not significantly associated with the odds of mortality (odds ratio [OR], 1.02; 95% CI, 0.96-1.09). BL allergies were associated with increased odds of MRSA infection (OR, 1.44; 95% CI, 1.36-1.53), VRE infection (OR, 1.18; 95% CI, 1.05-1.32), and the pooled rate of the 3 evaluated antibiotic-resistant infections (OR, 1.33; 95% CI, 1.30-1.36) but were not associated with C difficile infection (OR, 1.04; 95% CI, 0.94-1.16), stage 2 and 3 AKI (OR, 1.02; 95% CI, 0.96-1.10), or stage 3 AKI (OR, 1.06; 95% CI, 0.98-1.14).

Conclusions and Relevance

Documented BL allergies were not associated with the long-term odds of mortality but were associated with antibiotic-resistant infections. Health systems should emphasize accurate allergy documentation and reduce unnecessary BL avoidance.

Metformin for sepsis-associated AKI: a protocol for the Randomized Clinical Trial of the Safety and FeasibiLity of Metformin as a Treatment for sepsis-associated AKI (LiMiT AKI)

INTRODUCTION

Acute kidney injury (AKI) is a common complication of sepsis associated with increased risk of death. Preclinical data and observational human studies suggest that activation of AMP-activated protein kinase, an ubiquitous master regulator of energy that can limit mitochondrial injury, with metformin may protect against sepsis-associated AKI (SA-AKI) and mortality. The Randomized Clinical Trial of the Safety and FeasibiLity of Metformin as a Treatment for sepsis-associated AKI (LiMiT AKI) aims to evaluate the safety and feasibility of enteral metformin in patients with sepsis at risk of developing SA-AKI.

METHODS AND ANALYSIS

Blind, randomised, placebo-controlled clinical trial in a single-centre, quaternary teaching hospital in the USA. We will enrol adult patients (18 years of age or older) within 48 hours of meeting Sepsis-3 criteria, admitted to intensive care unit, with oral or enteral access. Patients will be randomised 1:1:1 to low-dose metformin (500 mg two times per day), high-dose metformin (1000 mg two times per day) or placebo for 5 days. Primary safety outcome will be the proportion of metformin-associated serious adverse events. Feasibility assessment will be based on acceptability by patients and clinicians, and by enrolment rate.

ETHICS AND DISSEMINATION

This study has been approved by the Institutional Review Board. All patients or surrogates will provide written consent prior to enrolment and any study intervention. Metformin is a widely available, inexpensive medication with a long track record for safety, which if effective would be accessible and easy to deploy. We describe the study methods using the Standard Protocol Items for Randomized Trials framework and discuss key design features and methodological decisions. LiMiT AKI will investigate the feasibility and safety of metformin in critically ill patients with sepsis at risk of SA-AKI, in preparation for a future large-scale efficacy study. Main results will be published as soon as available after final analysis.

TRIAL REGISTRATION NUMBER

NCT05900284.

Role of a Pharmacist in Postdischarge Care for Patients With Kidney Disease: A Scoping Review

OBJECTIVE

The objective was to explore and describe the role of pharmacists in providing postdischarge care to patients with kidney disease.

DATA SOURCES

PubMed, Embase (Elsevier), CINAHL (Ebscohost), Web of Science Core Collection, and Scopus were searched on January 30, 2023. Publication date limits were not included. Search terms were identified based on 3 concepts: kidney disease, pharmacy services, and patient discharge. Experimental, quasi-experimental, observational, and qualitative studies, or study protocols, describing the pharmacist's role in providing postdischarge care for patients with kidney disease, excluding kidney transplant recipients, were eligible.

STUDY SELECTION AND DATA EXTRACTION

Six unique interventions were described in 10 studies meeting inclusion criteria.

DATA SYNTHESIS

Four interventions targeted patients with acute kidney injury (AKI) during hospitalization and 2 evaluated patients with pre-existing chronic kidney disease. Pharmacists were a multidisciplinary care team (MDCT) member in 5 interventions and were the sole provider in 1. Roles commonly identified include medication review, medication reconciliation, medication action plan formation, kidney function assessment, drug dose adjustments, and disease education. Some studies showed improvements in diagnostic coding, laboratory monitoring, medication therapy problem (MTP) resolution, and patient education; prevention of hospital readmission was inconsistent. Limitations include lack of standardized reporting of kidney disease, transitions of care processes, and differences in outcomes evaluated.

RELEVANCE TO PATIENT CARE AND CLINICAL PRACTICE

This review identifies potential roles of a pharmacist as part of a postdischarge MDCT for patients with varying degrees of kidney disease.

CONCLUSIONS

The pharmacist's role in providing postdischarge care to patients with kidney disease is inconsistent. Multidisciplinary care teams including a pharmacist provided consistent identification and resolution of MTPs, improved patient education, and increased self-awareness of diagnosis.

Clinical Impact of the Implementation Strategies Used to Apply the 2013 Pain, Agitation/Sedation, Delirium or 2018 Pain, Agitation/Sedation, Delirium, Immobility, Sleep Disruption Guideline Recommendations: A Systematic Review and Meta-Analysis

OBJECTIVES

To summarize the effectiveness of implementation strategies for ICU execution of recommendations from the 2013 Pain, Agitation/Sedation, Delirium (PAD) or 2018 PAD, Immobility, Sleep Disruption (PADIS) guidelines.

DATA SOURCES

PubMed, CINAHL, Scopus, and Web of Science were searched from January 2012 to August 2023. The protocol was registered with PROSPERO (CRD42020175268).

STUDY SELECTION

Articles were included if: 1) design was randomized or cohort, 2) adult population evaluated, 3) employed recommendations from greater than or equal to two PAD/PADIS domains, and 4) evaluated greater than or equal to 1 of the following outcome(s): short-term mortality, delirium occurrence, mechanical ventilation (MV) duration, or ICU length of stay (LOS).

DATA EXTRACTION

Two authors independently reviewed articles for eligibility, number of PAD/PADIS domains, quality according to National Heart, Lung, and Blood Institute assessment tools, implementation strategy use (including Assess, prevent, and manage pain; Both SAT and SBT; Choice of analgesia and sedation; Delirium: assess, prevent, and manage; Early mobility and exercise; Family engagement and empowerment [ABCDEF] bundle) by Cochrane Effective Practice and Organization of Care (EPOC) category, and clinical outcomes. Certainty of evidence was assessed using Grading of Recommendations Assessment, Development, and Evaluation.

DATA SYNTHESIS

Among the 25 of 243 (10.3%) full-text articles included ( n = 23,215 patients), risk of bias was high in 13 (52%). Most studies were cohort ( n = 22, 88%). A median of 5 (interquartile range [IQR] 4-7) EPOC strategies were used to implement recommendations from two (IQR 2-3) PAD/PADIS domains. Cohort and randomized studies were pooled separately. In the cohort studies, use of EPOC strategies was not associated with a change in mortality (risk ratio [RR] 1.01; 95% CI, 0.9-1.12), or delirium (RR 0.92; 95% CI, 0.82-1.03), but was associated with a reduction in MV duration (weighted mean difference [WMD] -0.84 d; 95% CI, -1.25 to -0.43) and ICU LOS (WMD -0.77 d; 95% CI, -1.51 to 0.04). For randomized studies, EPOC strategy use was associated with reduced mortality and MV duration but not delirium or ICU LOS.

CONCLUSIONS

Using multiple implementation strategies to adopt PAD/PADIS guideline recommendations may reduce mortality, duration of MV, and ICU LOS. Further prospective, controlled studies are needed to identify the most effective strategies to implement PAD/PADIS recommendations.

Acute kidney injury in patients with cirrhosis: Acute Disease Quality Initiative (ADQI) and International Club of Ascites (ICA) joint multidisciplinary consensus meeting

Patients with cirrhosis are prone to developing acute kidney injury (AKI), a complication associated with a markedly increased in-hospital morbidity and mortality, along with a risk of progression to chronic kidney disease. Whereas patients with cirrhosis are at increased risk of developing any phenotype of AKI, hepatorenal syndrome (HRS), a specific form of AKI (HRS-AKI) in patients with advanced cirrhosis and ascites, carries an especially high mortality risk. Early recognition of HRS-AKI is crucial since administration of splanchnic vasoconstrictors may reverse the AKI and serve as a bridge to liver transplantation, the only curative option. In 2023, a joint meeting of the International Club of Ascites (ICA) and the Acute Disease Quality Initiative (ADQI) was convened to develop new diagnostic criteria for HRS-AKI, to provide graded recommendations for the work-up, management and post-discharge follow-up of patients with cirrhosis and AKI, and to highlight priorities for further research.

Disease-Modifying Medications in Patients with Rheumatoid Arthritis in the USA: Trends from 2016 to 2021

BACKGROUND

Disease-modifying anti-rheumatic drugs (DMARDs), since their introduction in 1990, have revolutionized the management of rheumatoid arthritis. Newer DMARDs have recently been approved, influencing treatment patterns and clinical guidelines.

OBJECTIVE

To update the current prescribing patterns of DMARDs in the pharmacotherapy of rheumatoid arthritis (RA) to include the pandemic era.

METHODS

This was a retrospective cross-sectional multi-year study. Using Optum's Clinformatics® Data Mart Database, we summarized trends in the prevalence of DMARD use in the USA from 2016 to 2021 by year for adult patients ≥ 18 years old with at least one medical RA claim and one pharmacy/medical claim of a DMARD medication. Trends included type of DMARD, class of DMARD (conventional (csDMARDs), biologics [tumor necrosis factor (TNFi) and Non-TNFi), and Janus kinase inhibitors (JAKs)], and triple therapy [methotrexate (MTX), hydroxychloroquine (HCQ), sulfasalazine (SUL)] used.

RESULTS

The total sample from 2016 to 2021 was 670,679 commercially insured patients. The average age was 63.7 years (SD 13.6), and 76.7% were female and 70% were White. csDMARDs remain the most prescribed (ranging from 77.2 to 79.2%). Although JAKs were the least prescribed DMARD class, their proportion more than doubled from 2016 (1.5%) to 2021 (4%). MTX utilization declined from 40% in 2016 to 34% in 2021. In contrast, HCQ use increased during the pandemic era from < 25% in 2018 to 30% in 2021. Although there is evidence of the therapeutic benefit of triple therapy, its use was very low (~ 1%) compared to biologics only (~ 17%) or biologics+MTX (~ 10%).

CONCLUSION

About half of patients with RA were on DMARDs. As expected, csDMARDs were highly used consistently. The COVID-19 pandemic might have influenced the use of HCQ and infusion DMARDs. Triple therapy use remains low.

Vancomycin With Concomitant Piperacillin/Tazobactam vs. Cefepime or Meropenem Associated Acute Kidney Injury in General Ward Patients: A Multicenter Propensity Score-Matched Study

Background: Concurrent administration of vancomycin and piperacillin/tazobactam (VAN+PTZ) may increase the risk of acute kidney injury (AKI) in hospitalized patients. Comprehensive characterization of VAN+PTZ associated AKI and recovery patterns remains lacking in previous reports. Objective: To compare the incidence of AKI associated with VAN+PTZ compared to either cefepime (CEF) or meropenem (MER) with VAN in adult general ward patients. Methods: A multicenter, retrospective, propensity score cohort study was conducted in non-critically ill adult patients. Included patients were concurrently administered VAN+PTZ or VAN+CEF/MER. Patients developing AKI ≤48 hours following combination therapy were excluded. The primary endpoint was to compare the incidence of AKI between study groups. Multivariable Cox regression modeling in predicting AKI was also conducted. Results: A total of 3199 patients met inclusion criteria and were evaluated. The incidence of AKI in VAN+PTZ and VAN+CEF/MER groups were 16.4% and 8.7%, respectively (P < .001). The onset to AKI was 1.8 days earlier with VAN+PTZ compared to VAN+CEF/MER (P < .001). Multivariable prediction model showed concomitant VAN+PTZ was identified as an independent risk factor of developing AKI (HR 2.34, 1.82-3.01, P < .001). The VAN+PTZ group experienced significantly higher rates of severe AKI (stage II or III) compared to the VAN+CEF/MER group (P = .002). No differences in the AKI recovery patterns were found between study groups. Conclusions: Concomitant VAN+PTZ in adult general ward patients was independently associated with an increased risk of AKI overall. More severe AKI was also associated with VAN+PTZ.

Prevention and management of antibiotic associated acute kidney injury in critically ill patients: new insights

PURPOSE OF REVIEW

Drug associated kidney injury (D-AKI) occurs in 19-26% of hospitalized patients and ranks as the third to fifth leading cause of acute kidney injury (AKI) in the intensive care unit (ICU). Given the high use of antimicrobials in the ICU and the emergence of new resistant organisms, the implementation of preventive measures to reduce the incidence of D-AKI has become increasingly important.

RECENT FINDINGS

Artificial intelligence is showcasing its capabilities in early recognition of at-risk patients for acquiring AKI. Furthermore, novel synthetic medications and formulations have demonstrated reduced nephrotoxicity compared to their traditional counterparts in animal models and/or limited clinical evaluations, offering promise in the prevention of D-AKI. Nephroprotective antioxidant agents have had limited translation from animal studies to clinical practice. The control of modifiable risk factors remains pivotal in avoiding D-AKI.

SUMMARY

The use of both old and new antimicrobials is increasingly important in combating the rise of resistant organisms. Advances in technology, such as artificial intelligence, and alternative formulations of traditional antimicrobials offer promise in reducing the incidence of D-AKI, while antioxidant medications may aid in minimizing nephrotoxicity. However, maintaining haemodynamic stability using isotonic fluids, drug monitoring, and reducing nephrotoxic burden combined with vigilant antimicrobial stewardship remain the core preventive measures for mitigating D-AKI while optimizing effective antimicrobial therapy.

Digital health and acute kidney injury: consensus report of the 27th Acute Disease Quality Initiative workgroup

Acute kidney injury (AKI), which is a common complication of acute illnesses, affects the health of individuals in community, acute care and post-acute care settings. Although the recognition, prevention and management of AKI has advanced over the past decades, its incidence and related morbidity, mortality and health care burden remain overwhelming. The rapid growth of digital technologies has provided a new platform to improve patient care, and reports show demonstrable benefits in care processes and, in some instances, in patient outcomes. However, despite great progress, the potential benefits of using digital technology to manage AKI has not yet been fully explored or implemented in clinical practice. Digital health studies in AKI have shown variable evidence of benefits, and the digital divide means that access to digital technologies is not equitable. Upstream research and development costs, limited stakeholder participation and acceptance, and poor scalability of digital health solutions have hindered their widespread implementation and use. Here, we provide recommendations from the Acute Disease Quality Initiative consensus meeting, which involved experts in adult and paediatric nephrology, critical care, pharmacy and data science, at which the use of digital health for risk prediction, prevention, identification and management of AKI and its consequences was discussed.

Moving toward a contemporary classification of drug-induced kidney disease

Drug-induced kidney disease (DIKD) accounts for about one-fourth of all cases of acute kidney injury (AKI) in hospitalized patients, especially in critically ill setting. There is no standard definition or classification system of DIKD. To address this, a phenotype definition of DIKD using expert consensus was introduced in 2015. Recently, a novel framework for DIKD classification was proposed that incorporated functional change and tissue damage biomarkers. Medications were stratified into four categories, including "dysfunction without damage," "damage without dysfunction," "both dysfunction and damage," and "neither dysfunction nor damage" using this novel framework along with predominant mechanism(s) of nephrotoxicity for drugs and drug classes. Here, we briefly describe mechanisms and provide examples of drugs/drug classes related to the categories in the proposed framework. In addition, the possible movement of a patient's kidney disease between certain categories in specific conditions is considered. Finally, opportunities and barriers to adoption of this framework for DIKD classification in real clinical practice are discussed. This new classification system allows congruencies for DIKD with the proposed categorization of AKI, offering clarity as well as consistency for clinicians and researchers.

Use of Disease-Modifying Treatments in Patients With Sickle Cell Disease

Importance

Despite hydroxyurea being an established treatment for sickle cell disease (SCD), it remains underused. The recent approval of the disease-modifying treatments (DMTs) l-glutamine, crizanlizumab, and voxelotor underscores the need to understand the uptake of DMTs in the current treatment landscape.

Objective

To explore characteristics that may be associated with DMT use and to describe observed patterns of yearly DMT use from 2014 to 2021.

Design, Setting, and Participants

This cross-sectional study used administrative claims data from Optum's deidentified Clinformatics Data Mart Database from January 1, 2014, to September 30, 2021, to identify adults and children with SCD. Data were analyzed from August 1, 2022, to August 28, 2023.

Exposure

Use of DMTs.

Main Outcomes and Measures

Patient characteristics across groups with varying patterns of DMT use and yearly patterns of prescription fills for hydroxyurea, crizanlizumab, voxelotor, and l-glutamine.

Results

A total of 5022 beneficiaries with SCD (2081 [41.4%] aged 18-45 years; 2929 [58.3%] female) were included in sample A (144 [2.9%] inconsistent users, 274 [5.5%] incident users, 892 [17.8%] consistent users, and 3712 [73.9%] non-DMT users). Inconsistent users had a higher prevalence of vaso-occlusive crises (mean [SD], 3.7 [4.7]), splenic complications (6 of 144 [4.2%]), pulmonary complications (36 of 144 [25.0%]), kidney disease (21 of 144 [14.6%]), acute chest syndrome (18 of 144 [12.5%]), and health care visits (eg, mean [SD] inpatient visits, 7.0 [10.7]) compared with the other use groups. Non-DMT users had the lowest prevalence of vaso-occlusive crises (mean [SD], 0.8 [2.4]), acute chest syndrome (109 of 3712 [2.9%]), and inpatient (mean [SD], 2.0 [6.6]) and emergency department (mean [SD], 0.7 [3.1]) visits and the highest proportion of adults 65 years and older (593 of 3712 [16.0%]). In sample B (6387 beneficiaries with SCD), hydroxyurea use modestly increased from 428 of 2188 participants (19.6%) in 2014 to 701 of 2880 (24.3%) in 2021. Use of l-glutamine increased briefly but gradually decreased throughout the study period. In 2021, out of 2880 participants, 102 (3.5%) had at least 1 fill for crizanlizumab and 131 (4.6%) had at least 1 fill for voxelotor. Overall, total DMT use increased from 428 of 2188 participants (19.6%) in 2014 to 815 of 2880 patients (28.3%) in 2021.

Conclusions and Relevance

In this cross-sectional analysis of adults and children with SCD, uptake of DMTs remained low from 2014 to 2021, despite the approval of newer therapies. Notable differences in patient characteristics across varied DMT exposure types necessitate further exploration into factors that facilitate DMT use and the creation of strategies to enhance DMT uptake.

Comparison of COVID-19 Preprint and Peer-Reviewed Versions of Studies on Therapies for Critically Ill Patients

PURPOSE

Significant increases in the volume of preprint articles due to the COVID-19 pandemic, we examined the reliability of preprint articles compared to their peer-reviewed publications.

MATERIALS AND METHODS

Preprint articles evaluating experimental studies of select treatment options (anticoagulation, dexamethasone, hydroxychloroquine, remdesivir, and tocilizumab) for COVID-19 in the critically ill, available in a peer-reviewed publication were screened for inclusion within Altmetric (n = 2040). A total of 40 articles met inclusion criteria, with 21 being randomly selected for evaluation. The primary outcome of this evaluation was a change in a study's reported primary outcome or statistical significance between preprint and peer-reviewed articles. Secondary outcomes included changes in primary/secondary outcome effect size and change in study conclusion.

RESULTS

One article (4.8%, 95% CI 0.12%-23.8%) had a change in the primary outcome. Seven articles (33.3%, 95% CI 14.6%-57.0%) had a change in the primary outcome's effect measure. Five studies (23.8%, 95% CI 8.2%-47.2%) had changes in statistical significance of at least one secondary outcome. Four studies (19.0%, 95% CI 5.4%-41.9%) had a change in study conclusion.

CONCLUSIONS

In preprint articles of COVID-19 treatments, the provided primary outcome is generally reliable, while interpretation of secondary outcomes should be made with caution, while awaiting completion of the peer-review process.

Qualitative analysis of healthcare provider perspectives to evaluating beta-lactam allergies

BACKGROUND

There is a lack of understanding of the barriers reported by healthcare providers when evaluating beta-lactam allergies, but knowledge of these barriers is required for practical and effective implementation interventions.

METHODS

Twenty-five healthcare providers, consisting of physicians, nurses and pharmacists practicing in the areas of intensive care, emergency medicine, infectious disease and general hospital practice, were interviewed between September 2021 and July 2023. Twenty-three of these providers were practising in the USA. A semi-structured interview guide grounded in the Theoretical Domain Framework was used for the interviews. Deductive and inductive analysis was performed on the interview transcripts, and translated into intervention recommendations using the Behaviour Change Wheel.

RESULTS

Widely held beliefs included a lack of clear policy for the evaluation of allergies, confusing or missing documentation of allergy information, confidence in their own and their colleagues' ability to evaluate allergies when information is available, and pharmacists as the provider most equipped to evaluate beta-lactam allergies.

CONCLUSIONS

Health systems should adopt and disseminate policies for the evaluation of beta-lactam allergies, and promote the use of pharmacists in the evaluation of drug allergies when possible. Allergy sections of electronic health records should be reworked to encourage unambiguous documentation of allergy reactions and support using previously tolerated beta-lactam antibiotics.

A deep learning-based dynamic model for predicting acute kidney injury risk severity in postoperative patients

BACKGROUND

Acute kidney injury is a common postoperative complication affecting between 10% and 30% of surgical patients. Acute kidney injury is associated with increased resource usage and chronic kidney disease development, with more severe acute kidney injury suggesting more aggressive deterioration in clinical outcomes and mortality.

METHODS

We considered 42,906 surgical patients admitted to University of Florida Health (n = 51,806) between 2014 and 2021. Acute kidney injury stages were determined using the Kidney Disease Improving Global Outcomes serum creatinine criteria. We developed a recurrent neural network-based model to continuously predict acute kidney injury risk and state in the following 24 hours and compared it with logistic regression, random forest, and multi-layer perceptron models. We used medications, laboratory and vital measurements, and derived features from past one-year records as inputs. We analyzed the proposed model with integrated gradients for enhanced explainability.

RESULTS

Postoperative acute kidney injury at any stage developed in 20% (10,664) of the cohort. The recurrent neural network model was more accurate in predicting nearly all categories of next-day acute kidney injury stages (including the no acute kidney injury group). The area under the receiver operating curve and 95% confidence intervals for recurrent neural network and logistic regression models were for no acute kidney injury (0.98 [0.98-0.98] vs 0.93 [0.93-0.93]), stage 1 (0.95 [0.95-0.95] vs. 0.81 [0.80-0.82]), stage 2/3 (0.99 [0.99-0.99] vs 0.96 [0.96-0.97]), and stage 3 with renal replacement therapy (1.0 [1.0-1.0] vs 1.0 [1.0-1.0].

CONCLUSION

The proposed model demonstrates that temporal processing of patient information can lead to more granular and dynamic modeling of acute kidney injury status and result in more continuous and accurate acute kidney injury prediction. We showcase the integrated gradients framework's utility as a mechanism for enhancing model explainability, potentially facilitating clinical trust for future implementation.

Facilitators and Barriers to Interacting With Clinical Decision Support in the ICU: A Mixed-Methods Approach

OBJECTIVES

Clinical decision support systems (CDSSs) are used in various aspects of healthcare to improve clinical decision-making, including in the ICU. However, there is growing evidence that CDSS are not used to their full potential, often resulting in alert fatigue which has been associated with patient harm. Clinicians in the ICU may be more vulnerable to desensitization of alerts than clinicians in less urgent parts of the hospital. We evaluated facilitators and barriers to appropriate CDSS interaction and provide methods to improve currently available CDSS in the ICU.

DESIGN

Sequential explanatory mixed-methods study design, using the BEhavior and Acceptance fRamework.

SETTING

International survey study.

PATIENT/SUBJECTS

Clinicians (pharmacists, physicians) identified via survey, with recent experience with clinical decision support.

INTERVENTIONS

An initial survey was developed to evaluate clinician perspectives on their interactions with CDSS. A subsequent in-depth interview was developed to further evaluate clinician (pharmacist, physician) beliefs and behaviors about CDSS. These interviews were then qualitatively analyzed to determine themes of facilitators and barriers with CDSS interactions.

MEASUREMENTS AND MAIN RESULTS

A total of 48 respondents completed the initial survey (estimated response rate 15.5%). The majority believed that responding to CDSS alerts was part of their job (75%) but felt they experienced alert fatigue (56.5%). In the qualitative analysis, a total of five facilitators (patient safety, ease of response, specificity, prioritization, and feedback) and four barriers (excess quantity, work environment, difficulty in response, and irrelevance) were identified from the in-depth interviews.

CONCLUSIONS

In this mixed-methods survey, we identified areas that institutions should focus on to improve appropriate clinician interactions with CDSS, specific to the ICU. Tailoring of CDSS to the ICU may lead to improvement in CDSS and subsequent improved patient safety outcomes.

Challenges in Pharmacovigilance: Variability in the Criteria for Determining Drug-Associated Acute Kidney Injury in Retrospective, Observational Studies

BACKGROUND

Drug-associated acute kidney injury (D-AKI) accounts for 19-26% of acute kidney injury (AKI) events in hospitalized patients and results in outcomes similar to patients with AKI from other etiologies. Diagnosing D-AKI is complex and various criteria have been used.

SUMMARY

To highlight the variability in D-AKI determination, a review was conducted between January 2017 and December 2022 using PubMed. Search terms included adaptations of "drug associated kidney injury" to identify a sampling of literature discussing definitions and criteria for D-AKI evaluation. The search yielded 291 articles that were uploaded to Rayyan, a software tool used to screen and select studies. Retrospective, observational electronic health record (EHR) studies conducted in hospitalized patients were included. The final sample contained 16 studies for data extraction, representing mostly adult populations (n = 13, 81.3%) in noncritical or unspecified inpatient settings (n = 12, 75%). Nine studies (56.3%) utilized the recommended Kidney Disease: Improving Global Outcome guidelines (KDIGO) criteria to define AKI. Baseline creatinine or laboratory criteria for kidney function were provided in 10 studies (62.5%). Eleven studies (68.8%) established a temporal sequence assessment linking nephrotoxin drug exposure to an AKI event, but these criteria were inconsistent among studies using time frames as soon as 3 months prior to AKI.

CONCLUSION

This review highlights the substantial variability in D-AKI criteria in select studies. Minimum expectations about what should be reported and criteria for the elements reported are needed to assure transparency, consistency, and standardization of pharmacovigilance strategies.

Geographic and Temporal Trends in COVID-Associated Acute Kidney Injury in the National COVID Cohort Collaborative

BACKGROUND

AKI is associated with mortality in patients hospitalized with coronavirus disease 2019 (COVID-19); however, its incidence, geographic distribution, and temporal trends since the start of the pandemic are understudied.

METHODS

Electronic health record data were obtained from 53 health systems in the United States in the National COVID Cohort Collaborative. We selected hospitalized adults diagnosed with COVID-19 between March 6, 2020, and January 6, 2022. AKI was determined with serum creatinine and diagnosis codes. Time was divided into 16-week periods (P1-6) and geographical regions into Northeast, Midwest, South, and West. Multivariable models were used to analyze the risk factors for AKI or mortality.

RESULTS

Of a total cohort of 336,473, 129,176 (38%) patients had AKI. Fifty-six thousand three hundred and twenty-two (17%) lacked a diagnosis code but had AKI based on the change in serum creatinine. Similar to patients coded for AKI, these patients had higher mortality compared with those without AKI. The incidence of AKI was highest in P1 (47%; 23,097/48,947), lower in P2 (37%; 12,102/32,513), and relatively stable thereafter. Compared with the Midwest, the Northeast, South, and West had higher adjusted odds of AKI in P1. Subsequently, the South and West regions continued to have the highest relative AKI odds. In multivariable models, AKI defined by either serum creatinine or diagnostic code and the severity of AKI was associated with mortality.

CONCLUSIONS

The incidence and distribution of COVID-19-associated AKI changed since the first wave of the pandemic in the United States.

PODCAST

This article contains a podcast at https://dts.podtrac.com/redirect.mp3/www.asn-online.org/media/podcast/CJASN/2023_08_08_CJN0000000000000192.mp3.

Expert Consensus on the Nephrotoxic Potential of 195 Medications in the Non-intensive Care Setting: A Modified Delphi Method

INTRODUCTION

Nephrotoxin exposure is significantly associated with acute kidney injury (AKI) development. A standardized list of nephrotoxic medications to surveil and their perceived nephrotoxic potential (NxP) does not exist for non-critically ill patients.

OBJECTIVE

This study generated consensus on the nephrotoxic effect of 195 medications used in the non-intensive care setting.

METHODS

Potentially nephrotoxic medications were identified through a comprehensive literature search, and 29 participants with nephrology or pharmacist expertise were identified. The primary outcome was NxP by consensus. Participants rated each drug on a scale of 0-3 (not nephrotoxic to definite nephrotoxicity). Group consensus was met if ≥ 75% of responses were one single rating or a combination of two consecutive ratings. If ≥ 50% of responses indicated "unknown" or not used in the non-intensive care setting, the medication was removed for consideration. Medications not meeting consensus for a given round were included in the subsequent round(s).

RESULTS

A total of 191 medications were identified in the literature, with 4 medications added after the first round from participants' recommendations. NxP index rating consensus after three rounds was: 14 (7.2%) no NxP in almost all situations (rating 0); 62 (31.8%) unlikely/possibly nephrotoxic (rating 0.5); 21 (10.8%) possibly nephrotoxic (rating 1); 49 (25.1%) possibly/probably nephrotoxic (rating 1.5); 2 (1.0%) probably nephrotoxic (rating 2); 8 (4.1%) probably/definite nephrotoxic (rating 2.5); 0 (0.0%) definitely nephrotoxic (rating 3); and 39 (20.0%) medications were removed from consideration.

CONCLUSIONS

NxP index rating provides clinical consensus on perceived nephrotoxic medications in the non-intensive care setting and homogeneity for future clinical evaluations and research.

Assessing adverse drug reaction reports for antidiabetic medications approved by the food and drug administration between 2012 and 2017: a pharmacovigilance study

Objective

Between 2012 and 2017, the U.S. Food and Drug Administration (FDA) approved 10 antidiabetic indicated therapies. Due to the limited literature on voluntarily reported safety outcomes for recently approved antidiabetic drugs, this study investigated adverse drug reactions (ADRs) reported in the FDA Adverse Event Reporting System (FAERS).

Research Design and Methods

A disproportionality analysis of spontaneously reported ADRs was conducted. FAERS reports from January 1, 2012 to March 31, 2022 were compiled, allowing a 5-year buffer following drug approval in 2017. Reporting odds ratios were calculated for the top 10 ADRs, comparing new diabetic agents to the other approved drugs in their therapeutic class.

Results

127,525 reports were identified for newly approved antidiabetic medications listed as the primary suspect (PS). For sodium-glucose co-transporter-2 (SGLT-2) inhibitors, the odds of blood glucose increased, nausea, and dizziness being reported was greater for empagliflozin. Dapagliflozin was associated with greater reports of weight decreased. Canagliflozin was found to have a disproportionally higher number of reports for diabetic ketoacidosis, toe amputation, acute kidney injury, fungal infections, and osteomyelitis. Assessing glucagon-like peptide-1 (GLP-1) receptor agonists, dulaglutide and semaglutide were associated with greater reports of gastrointestinal adverse drug reactions. Exenatide was disproportionally associated with injection site reactions and pancreatic carcinoma reports.

Conclusion

Pharmacovigilance studies utilizing a large publicly available dataset allow an essential opportunity to evaluate the safety profile of antidiabetic drugs utilized in clinical practice. Additional research is needed to evaluate these reported safety concerns for recently approved antidiabetic medications to determine causality.

Developing a Knowledge Graph for Pharmacokinetic Natural Product-Drug Interactions

BACKGROUND

Pharmacokinetic natural product-drug interactions (NPDIs) occur when botanical or other natural products are co-consumed with pharmaceutical drugs. With the growing use of natural products, the risk for potential NPDIs and consequent adverse events has increased. Understanding mechanisms of NPDIs is key to preventing or minimizing adverse events. Although biomedical knowledge graphs (KGs) have been widely used for drug-drug interaction applications, computational investigation of NPDIs is novel. We constructed NP-KG as a first step toward computational discovery of plausible mechanistic explanations for pharmacokinetic NPDIs that can be used to guide scientific research.

METHODS

We developed a large-scale, heterogeneous KG with biomedical ontologies, linked data, and full texts of the scientific literature. To construct the KG, biomedical ontologies and drug databases were integrated with the Phenotype Knowledge Translator framework. The semantic relation extraction systems, SemRep and Integrated Network and Dynamic Reasoning Assembler, were used to extract semantic predications (subject-relation-object triples) from full texts of the scientific literature related to the exemplar natural products green tea and kratom. A literature-based graph constructed from the predications was integrated into the ontology-grounded KG to create NP-KG. NP-KG was evaluated with case studies of pharmacokinetic green tea- and kratom-drug interactions through KG path searches and meta-path discovery to determine congruent and contradictory information in NP-KG compared to ground truth data. We also conducted an error analysis to identify knowledge gaps and incorrect predications in the KG.

RESULTS

The fully integrated NP-KG consisted of 745,512 nodes and 7,249,576 edges. Evaluation of NP-KG resulted in congruent (38.98% for green tea, 50% for kratom), contradictory (15.25% for green tea, 21.43% for kratom), and both congruent and contradictory (15.25% for green tea, 21.43% for kratom) information compared to ground truth data. Potential pharmacokinetic mechanisms for several purported NPDIs, including the green tea-raloxifene, green tea-nadolol, kratom-midazolam, kratom-quetiapine, and kratom-venlafaxine interactions were congruent with the published literature.

CONCLUSION

NP-KG is the first KG to integrate biomedical ontologies with full texts of the scientific literature focused on natural products. We demonstrate the application of NP-KG to identify known pharmacokinetic interactions between natural products and pharmaceutical drugs mediated by drug metabolizing enzymes and transporters. Future work will incorporate context, contradiction analysis, and embedding-based methods to enrich NP-KG. NP-KG is publicly available at https://doi.org/10.5281/zenodo.6814507. The code for relation extraction, KG construction, and hypothesis generation is available at https://github.com/sanyabt/np-kg.

Interventions, Barriers, and Proposed Solutions Associated With the Implementation of a Protocol That Uses Clinical Decision Support and a Stress Biomarker Test to Identify ICU Patients at High-Risk for Drug Associated Acute Kidney Injury

BACKGROUND

Damage biomarkers are helpful in early identification of patients who are at risk of developing acute kidney injury (AKI). Investigations are ongoing to identify the optimal role of stress/damage biomarkers in clinical practice regarding AKI risk prediction, surveillance, diagnosis, and prognosis.

OBJECTIVE

To determine the impact of utilizing a clinical decision support system (CDSS) to guide stress biomarker testing in intensive care unit (ICU) patients at risk for drug-induced acute kidney injury (D-AKI).

METHODS

A protocol was designed utilizing a clinical decision support system (CDSS) alert to identify patients that were ordered 3 or more potentially nephrotoxic medications, suggesting risk for progressing to AKI from nephrotoxic burden. Once alerted to these high-risk patients, the pharmacist determined if action was needed by ordering a stress biomarker test, tissue inhibitor of metalloproteinase-2-insulin-like growth factor-binding protein 7 (TIMP-2•IGFBP7). If the biomarker test result was elevated, the pharmacist provided nephrotoxin stewardship recommendations to the team. Pharmacists recorded the response to the clinical decision support alert, ordering, and interpreting the TIMP-2•IGFBP7, and information regarding clinical interventions. An alert in conjunction with TIMP-2•IGFBP7 as a strategy for AKI risk prediction and stimulant for patient care management was assessed. In addition, barriers and solutions to protocol implementation were evaluated.

RESULTS

There were 394 total activities recorded by pharmacists for 345 unique patients. Ninety-three (93/394; 23.6%) actionable alerts resulted in a TIMP-2•IGFBP7 test being ordered. Thirty-one TIMP-2•IGFBP7 results were >0.3 (31/81; 38.3%), suggesting a high-risk of progression to AKI, which prompted 191 pharmacist/team interventions. On average, there were 1.64 interventions per patient in the low-risk patients, 3.43 in high-risk patients, and 3.75 in the highest-risk patients.

CONCLUSION AND RELEVANCE

Stress biomarkers can be used in conjunction with CDSS alerts to affect therapeutic decisions in ICU patients at high-risk for D-AKI.

Case presentations of medication management for patients at risk for drug-associated acute kidney injury identified with a CDS system and a novel biomarker

PURPOSE

Traditional methods used to evaluate changes in kidney function to identify acute kidney injury (AKI) have significant limitations. Damage biomarkers can identify patients at risk for AKI prior to changes in kidney function. While clinical trials have shown that biomarker-guided treatment can improve outcomes, whether these biomarkers can influence providers' choice of treatment strategy for risk prediction, surveillance, or diagnostic evaluation in clinical practice is uncertain.

SUMMARY

This case series describes 4 patients at an academic medical center whose care was informed by kidney biomarker utilization in conjunction with a clinical decision support system (CDSS). Though each patient's clinical presentation was unique, kidney biomarkers were successfully employed as clinical tools in evaluating the risks and benefits of nephrotoxic medications.

CONCLUSION

This case series demonstrates 4 scenarios in which a kidney injury biomarker used in conjunction with CDSS and consideration of the patients' clinical presentation informed treatment strategies with the intent to prevent AKI.

An evaluation of adverse drug reactions and outcomes attributed to kratom in the US Food and Drug Administration Adverse Event Reporting System from January 2004 through September 2021

Kratom is a widely used Asian botanical that has gained popularity in the United States due to a perception that it can treat pain, anxiety, and opioid withdrawal symptoms. The American Kratom Association estimates 10-16 million people use kratom. Kratom-associated adverse drug reactions (ADRs) continue to be reported and raise concerns about the safety profile of kratom. However, studies are lacking that describe the overall pattern of kratom-associated adverse events and quantify the association between kratom and adverse events. ADRs reported to the US Food and Drug Administration Adverse Event Reporting System from January 2004 through September 2021 were used to address these knowledge gaps. Descriptive analysis was conducted to analyze kratom-related adverse reactions. Conservative pharmacovigilance signals based on observed-to-expected ratios with shrinkage were estimated by comparing kratom to all other natural products and drugs. Based on 489 deduplicated kratom-related ADR reports, users were young (mean age 35.5 years), and more often male (67.5%) than female patients (23.5%). Cases were predominantly reported since 2018 (94.2%). Fifty-two disproportionate reporting signals in 17 system-organ-class categories were generated. The observed/reported number of kratom-related accidental death reports was 63-fold greater than expected. There were eight strong signals related to addiction or drug withdrawal. An excess proportion of ADR reports were about kratom-related drug complaints, toxicity to various agents, and seizures. Although further research is needed to assess the safety of kratom, clinicians and consumers should be aware that real-world evidence points to potential safety threats.

COVID-19-associated AKI in hospitalized US patients: incidence, temporal trends, geographical distribution, risk factors and mortality

Background

Acute kidney injury (AKI) is associated with mortality in patients hospitalized with COVID-19, however, its incidence, geographic distribution, and temporal trends since the start of the pandemic are understudied.

Methods

Electronic health record data were obtained from 53 health systems in the United States (US) in the National COVID Cohort Collaborative (N3C). We selected hospitalized adults diagnosed with COVID-19 between March 6th, 2020, and January 6th, 2022. AKI was determined with serum creatinine (SCr) and diagnosis codes. Time were divided into 16-weeks (P1-6) periods and geographical regions into Northeast, Midwest, South, and West. Multivariable models were used to analyze the risk factors for AKI or mortality.

Results

Out of a total cohort of 306,061, 126,478 (41.0 %) patients had AKI. Among these, 17.9% lacked a diagnosis code but had AKI based on the change in SCr. Similar to patients coded for AKI, these patients had higher mortality compared to those without AKI. The incidence of AKI was highest in P1 (49.3%), reduced in P2 (40.6%), and relatively stable thereafter. Compared to the Midwest, the Northeast, South, and West had higher adjusted AKI incidence in P1, subsequently, the South and West regions continued to have the highest relative incidence. In multivariable models, AKI defined by either SCr or diagnostic code, and the severity of AKI was associated with mortality.

Conclusions

Uncoded cases of COVID-19-associated AKI are common and associated with mortality. The incidence and distribution of COVID-19-associated AKI have changed since the first wave of the pandemic in the US.

Kidney Damage and Stress Biomarkers for Early Identification of Drug-Induced Kidney Injury: A Systematic Review

INTRODUCTION

Acute kidney injury (AKI) resulting from nephrotoxic medication use is prominent in hospitalized patients and is attributable to overall increases in mortality and costs of care. Serum creatinine (SCr), the current standard for identifying drug-induced AKI (DIAKI) is often delayed in its response to kidney insult by 26-36 h.

OBJECTIVE

This systematic review seeks to evaluate the clinical utility of several novel kidney damage and stress biomarkers for the prediction/timely detection of DIAKI, in comparison with traditional methods.

METHODS

A systematic review of the CINAHL, Cochrane Library, Embase, and PubMed databases was conducted per the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines, for articles analyzing the use of β2-microglobulin (B2M), interleukin (IL)-18, kidney injury molecule-1 (KIM-1), liver-type fatty acid-binding protein (L-FABP), neutrophil gelatinase-associated lipocalin (NGAL), and tissue inhibitor of metalloproteinase-2 * insulin-like growth factor-binding protein 7 [TIMP-1]*[IGFBP-7], for identifying DIAKI. Primary outcomes included time to DIAKI diagnosis using traditional methods and the time to significant difference in biomarker concentrations between DIAKI and non-AKI study subjects. Secondary outcomes included biomarker concentrations at the time of significant difference between the AKI status groups.

RESULTS

Fifteen unique articles were identified from the literature search. Twelve studies consisted of strictly hospitalized patient populations and three studies included hospitalized patients and patients discharged to home treatment. No studies reported values for urine volume output. Seventy-three percent of studies reported earlier times to significant difference of novel biomarker concentrations between the AKI and non-AKI groups than diagnosis of DIAKI by SCr alone. Significant variation was observed for individual urine biomarker concentrations at time of significant difference between the AKI status groups.

CONCLUSIONS

All analyzed biomarkers showed potential for use as early clinical markers of DIAKI, however further consensus on threshold urine concentrations for DIAKI is needed for meaningful implementation of these biomarkers in clinical practice.

Falls prediction using the nursing home minimum dataset

OBJECTIVE

The purpose of the study was to develop and validate a model to predict the risk of experiencing a fall for nursing home residents utilizing data that are electronically available at the more than 15 000 facilities in the United States.

MATERIALS AND METHODS

The fall prediction model was built and tested using 2 extracts of data (2011 through 2013 and 2016 through 2018) from the Long-term Care Minimum Dataset (MDS) combined with drug data from 5 skilled nursing facilities. The model was created using a hybrid Classification and Regression Tree (CART)-logistic approach.

RESULTS

The combined dataset consisted of 3985 residents with mean age of 77 years and 64% female. The model's area under the ROC curve was 0.668 (95% confidence interval: 0.643-0.693) on the validation subsample of the merged data.

DISCUSSION

Inspection of the model showed that antidepressant medications have a significant protective association where the resident has a fall history prior to admission, requires assistance to balance while walking, and some functional range of motion impairment in the lower body; even if the patient exhibits behavioral issues, unstable behaviors, and/or are exposed to multiple psychotropic drugs.

CONCLUSION

The novel hybrid CART-logit algorithm is an advance over the 22 fall risk assessment tools previously evaluated in the nursing home setting because it has a better performance characteristic for the fall prediction window of ≤90 days and it is the only model designed to use features that are easily obtainable at nearly every facility in the United States.

Pandemic stimulates a variety of telepharmacy applications: Considerations for implementation, sustainability, and future directions

In an effort to expedite the publication of articles related to the COVID-19 pandemic, AJHP is posting these manuscripts online as soon as possible after acceptance. Accepted manuscripts have been peer-reviewed and copyedited, but are posted online before technical formatting and author proofing. These manuscripts are not the final version of record and will be replaced with the final article (formatted per AJHP style and proofed by the authors) at a later time.

Nephrotoxin Exposure in the 3 Years following Hospital Discharge Predicts Development or Worsening of Chronic Kidney Disease among Acute Kidney Injury Survivors

INTRODUCTION

Survivors of acute kidney injury (AKI) are at high risk of progression to chronic kidney disease (CKD), for which drugs may be a modifiable risk factor.

METHODS

We conducted a population-based cohort study of Olmsted County, MN residents who developed AKI while hospitalized between January 1, 2006, and December 31, 2014, using Rochester Epidemiology Project data. Adults with a hospitalization complicated by AKI who survived at least 90 days after AKI development were included. Medical records were queried for prescription of potentially nephrotoxic medications over the 3 years after discharge. The primary outcome was de novo or progressive CKD defined by either a new diagnosis code for CKD or ≥30% decline in estimated glomerular filtration rate from baseline. The composite of CKD, AKI readmission, or death was also evaluated.

RESULTS

Among 2,461 AKI survivors, 2,140 (87%) received a potentially nephrotoxic medication during the 3 years following discharge. When nephrotoxic medication use was analyzed in a time-dependent fashion, those actively prescribed at least one of these drugs experienced a significantly higher risk of de novo or progressive CKD (HR 1.38: 95% CI: 1.24, 1.54). Similarly, active potentially nephrotoxic medication use predicted a greater risk of the composite endpoint of CKD, AKI readmission, or death within 3 years of discharge (HR 1.41: 95% CI: 1.28, 1.56).

CONCLUSION

In this population-based cohort study, AKI survivors actively prescribed one or more potentially nephrotoxic medications were at significantly greater risk for de novo or progressive CKD. An opportunity exists to reassess nephrotoxin appropriateness following an AKI episode to improve patient outcomes.

Opioid abuse risk among student pharmacists

OBJECTIVE

To benchmark opioid abuse risk among student pharmacists attending three northeast pharmacy schools utilizing the opioid risk tool (ORT).

DESIGN

A cross-sectional, anonymous risk assessment questionnaire.

SETTING

Three pharmacy schools in the northeast United States.

PARTICIPANTS

Professional year 1 (P1) through professional year 3 (P3) student pharmacists.

METHODS

ORT was collected and scored by investigators and inputted into an electronic format for analysis. Students voluntarily participated, and 812 surveys were completed during one course meeting time and day at each school.

RESULTS

The majority of students were in the low-risk category (n = 581, 71.6 percent). Additionally, 137 (16.9 percent) patients were categorized as moderate risk and 94 (11.6 percent) as high risk. No statistically significant differences existed when comparing risk groups across the first through third professional year student pharmacist cohorts. There were no statistically significant differences in the proportion of risk groups among the three pharmacy cohorts between low-risk versus the high-risk groups. When comparing risk groups by gender, males were found to have a statistically significant higher proportion of being classified as moderate or high risk.

CONCLUSIONS

The results of this study demonstrate that there may be some student pharmacists with an increased risk for opioid abuse potential. There is potential need for education regarding opioid risk awareness and abuse prevention, which may serve as a call to action for professional school students and practitioners to understand baseline opioid abuse risk if they require chronic pain therapy.

Patient-Reported Experiences after Acute Kidney Injury across Multiple Health-Related Quality-of-Life Domains

Background

Investigations of health-related quality of life (HRQoL) in AKI have been limited in number, size, and domains assessed. We surveyed AKI survivors to describe the range of HRQoL AKI-related experiences and examined potential differences in AKI effects by sex and age at AKI episode.

Methods

AKI survivors among American Association of Kidney Patients completed an anonymous online survey in September 2020. We assessed: (1) sociodemographic characteristics; (2) effects of AKI-physical, emotional, social; and (3) perceptions about interactions with health care providers using quantitative and qualitative items.

Results

Respondents were 124 adult AKI survivors. Eighty-four percent reported that the AKI episode was very/extremely impactful on physical/emotional health. Fifty-seven percent reported being very/extremely concerned about AKI effects on work, and 67% were concerned about AKI effects on family. Only 52% of respondents rated medical team communication as very/extremely good. Individuals aged 22-65 years at AKI episode were more likely than younger/older counterparts to rate the AKI episode as highly impactful overall (90% versus 63% younger and 75% older individuals; P=0.04), more impactful on family (78% versus 50% and 46%; P=0.008), and more impactful on work (74% versus 38% and 10%; P<0.001). Limitations of this work include convenience sampling, retrospective data collection, and unknown AKI severity.

Conclusions

These findings are a critical step forward in understanding the range of AKI experiences/consequences. Future research should incorporate more comprehensive HRQoL measures, and health care professionals should consider providing more information in their patient communication about AKI and follow-up.

Benefits of Patient/Caregiver Engagement in Adverse Drug Reaction Reporting Compared With Other Sources of Reporting in the Inpatient Setting: A Systematic Review

OBJECTIVES

Clinicians learn from prior adverse events through pharmacovigilance allowing for improved medication safety in the medication use process; therefore, adverse drug reaction (ADR) reporting needs to be maximized. This systematic review was conducted to determine whether engaging patients/caregivers in ADR reporting during a patient's hospitalization provides further information about ADRs not obtained from traditional sources of reporting (i.e., voluntary reporting, medical record review).

METHODS

This review was performed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. A literature search was conducted from January 2018 to June 2019 in PubMed, CINAHL, and Embase. Studies were included if they were (i) conducted in the inpatient setting, (ii) surveyed patients/caregivers, (iii) compared patient/caregiver reporting with another source of reporting, and (iv) evaluated ADRs. Studies completed in an outpatient setting or nursing home were excluded.

RESULTS

A total of 11 studies were included. Sources of ADR information from patient/caregiver were obtained through interviews, surveys, questionnaires, or open-ended responses. Patient reporting was compared with medical record reports (7 articles) and health care professional reporting (4 articles). Approximately 11% to 35% of ADRs reported from patients were not identified through voluntary reporting by health care professionals, and 5.6% to 66% of ADRs obtained from patient reporting were not provided in the medical record.

CONCLUSIONS

Patients/caregivers are important sources of safety information to improve system and practice of medication use that may not be recorded by other surveillance methods. Administrators and clinicians need to determine the best approach to integrate patients/caregivers into routine reporting for optimal engagement.

Vancomycin with concomitant piperacillin/tazobactam vs. cefepime or meropenem associated acute kidney injury in the critically ill: A multicenter propensity score-matched study

PURPOSE

The risk of acute kidney injury (AKI) associated with concomitant vancomycin and piperacillin/tazobactam in the intensive care unit (ICU) remains controversial. The aim of this study was to compare the AKI incidence associated with concomitant vancomycin and piperacillin/tazobactam compared to either cefepime or meropenem with vancomycin in the ICU.

MATERIALS AND METHODS

A multicenter, retrospective, propensity score-matched cohort study was conducted in adult ICU patients administered vancomycin in combination with either piperacillin/tazobactam, cefepime, or meropenem were included. Patients developing AKI ≤48 h following combination therapy initiation were excluded. The primary endpoint was to compare the incidence of AKI associated with concomitant antimicrobial therapy. Multivariable Cox regression modeling in predicting AKI was also conducted.

RESULTS

A total of 1044 patients were matched. The AKI incidence in vancomycin- piperacillin/tazobactam and vancomycin-cefepime/meropenem groups were 21.9% and 16.8%, respectively (p = 0.068). Multivariable prediction models showed concomitant vancomycin-piperacillin/tazobactam was an independent risk factor of AKI using serum creatinine only (HR 1.52, 1.10-2.10, p = 0.011) and serum creatinine with urine output-based KDIGO criteria (HR 1.77, 1.18-2.67, p = 0.006). No significant differences between groups were observed for AKI recovery patterns or mortality.

CONCLUSION

Concomitant vancomycin and piperacillin/tazobactam administration in adult ICU patients was independently associated with an increased risk of AKI.

Incidence of Serum Creatinine Monitoring and Outpatient Visit Follow-Up among Acute Kidney Injury Survivors after Discharge: A Population-Based Cohort Study

INTRODUCTION

Acute kidney injury (AKI) affects 20% of hospitalized patients and worsens outcomes. To limit complications, post-discharge follow-up and kidney function testing are advised. The objective of this study was to evaluate the frequency of follow-up after discharge among AKI survivors.

METHODS

This was a population-based cohort study of adult Olmsted County residents hospitalized with an episode of stage II or III AKI between 2006 and 2014. Those dismissed from the hospital on dialysis, hospice, or who died within 30 days after discharge were excluded. The frequency and predictors of follow-up, defined as an outpatient serum creatinine (SCr) level or an in-person healthcare visit after discharge were described.

RESULTS

In the 627 included AKI survivors, the 30-day cumulative incidence of a follow-up outpatient SCr was 80% (95% confidence interval [CI]: 76% and 83%), a healthcare visit was 82% (95% CI: 79 and 85%), or both was 70% (95% CI: 66 and 73%). At 90 days and 1 year after discharge, the cumulative incidences of meeting both follow-up criteria rose to 82 and 91%, respectively. Independent predictors of receiving both an outpatient SCr assessment and healthcare visit within 30 days included lower estimated glomerular filtration rate at discharge, higher comorbidity burden, longer length of hospitalization, and greater maximum AKI severity. Age, sex, race/ethnicity, education level, and socioeconomic status did not predict follow-up.

CONCLUSIONS

Among patients with moderate to severe AKI, 30% did not have follow-up with a SCr and healthcare visit in the 30-day post-discharge interval. Follow-up was associated with higher acuity of illness rather than demographic or socioeconomic factors.

Assessing Adverse Drug Reactions Reported for New Respiratory Medications in the FDA Adverse Event Reporting System Database

BACKGROUND

Between 2012 and 2017, 25 new medications or combination products were approved by the Food and Drug Administration (FDA) for use in treatment of chronic lower respiratory diseases (CLRDs). With limited data on post-marketing patient exposure to these drugs, their safety profiles remain unknown. This study aims to provide post-marketing surveillance of these medications.

METHODS

A list of new CLRD medications approved between 2012 and 2017 was generated through searches on Drugs.com (https://www.drugs.com), FDA.gov (https://www.fda.gov), and IBM Micromedex (https://www.micromedexsolutions.com/home/dispatch/ssl/true). Data describing adverse drug reactions (ADRs) were collected from the FDA Adverse Event Reporting System for analysis. Of the 25 identified medications, we selected 4 medications indicated for asthma or COPD with at least 500 reports. Only ADRs catalogued with these medications as the primary suspect were analyzed. Reporting odds ratios were calculated for the top 10 ADRs of each CLRD medication.

RESULTS

A total of 61,682 ADR reports were collected for newly approved CLRD medications (n = 27,190 older adults; n = 30,502 male). Reports of COPD medications (umeclidinium and umeclidinium/vilanterol) indicate that umeclidinium/vilanterol yielded a higher reporting odds ratio than umeclidinium alone for reports of pain. Fluticasone furoate/vilanterol had higher reporting odds ratios for cough, pain, and dizziness than budesonide/formoterol and fluticasone propionate/salmeterol.

CONCLUSIONS

Our findings suggest that the incidence of different adverse events experienced by patients in post-marketing reports resembles the incidence reported in pre-marketing clinical trials for COPD medications, except for fluticasone furoate/vilanterol, which has several differences.

Changes in Purchases for Intensive Care Medicines During the COVID-19 Pandemic: A Global Time Series Study

BACKGROUND

Drug supply disruptions have increased during the COVID-19 pandemic, especially for medicines used in the intensive care unit (ICU). Despite reported shortages in wealthy countries, global analyses of ICU drug purchasing during COVID-19 are limited.

RESEARCH QUESTION

Has COVID-19 impacted global drug purchases of first, second- and third-choice agents used in intensive care?

STUDY DESIGN AND METHODS

We conducted a cross-sectional time series study in a global pharmacy sales dataset comprising approximately 60% of the world's population. We analyzed pandemic-related changes in units purchased per 1,000 population for 69 ICU agents. Interventional autoregressive integrated moving average (ARIMA) models tested for significant changes when the pandemic was declared (March 2020) and during its first stage from April to August 2020, globally and by development status.

RESULTS

Relative to 2019, ICU drug purchases increased by 23.6% (95% CI: 7.9-37.9%) in March 2020 (P-value<0.001), and then decreased by 10.3% (95% CI:-16.9 to -3.5%) from April to August (P-value=0.006). Purchases for second-choice medicines changed the most, especially in developing countries (e.g.: 45.8% increase in March 2020). Despite similar relative changes (P-value=0.88), absolute purchasing rates in developing nations remained low. The observed decrease from April to August 2020 was only significant in developed countries (-13.1%; 95% CI: -17.4 to -4.4%; P-value< 0.001). Country-level variation appeared unrelated to expected demand and healthcare infrastructure.

INTERPRETATION

Purchases for intensive care medicines increased globally in the month of the COVID-19 pandemic declaration, but prior to peak infection rates. These changes were most pronounced for second-choice agents, suggesting that inexpensive, generic medicines may be more easily purchased in anticipation of pandemic-related ICU surges. Nevertheless, disparities in access persisted. Trends appeared unrelated to expected demand, and decreased purchasing from April to August 2020 may suggest over-buying. National and international policies are needed to ensure equitable drug purchasing during future pandemics.

Development of a Theory-Informed Behavior Change Intervention to Reduce Inappropriate Prescribing of Nephrotoxins and Renally Eliminated Drugs

BACKGROUND

Goals of managing patients with acute kidney injury (AKI) are mitigating disease progression and ensuring safety while providing supportive care because no effective treatment exists. One strategy recommended in guidelines to meet these goals is optimizing medication management. Unfortunately, guideline implementation appears to be lacking as observed by the frequent occurrence of medication errors and adverse drug events.

OBJECTIVE

To address this performance gap in the care of hospitalized patients receiving nephrotoxins and renally eliminated drugs, we sought to provide a potential intervention based on theory-informed behavior change.

METHODS

Formative research with a qualitative analysis identifying what needs to change in patient care was completed by obtaining clinician opinion and expert opinion and reviewing the published literature. Frontline providers, including 8 physicians, 4 pharmacists, and a multiprofessional group of authors, provided insight into possible barriers to appropriate prescribing. Capability, Opportunity, Motivation and Behavior model and Theoretical Domain Framework were applied to characterize behavior change interventions and inform a potential implementation intervention for changing inappropriate prescribing behaviors.

RESULTS

Lack of knowledge about appropriate drug management in patients at risk for adverse outcomes was provided as a major barrier. Other reported barriers included a lack of: (1) tools to assist with drug management, (2) motivation to make changes, (3) routinization, and (4) an accountable clinician.

CONCLUSIONS AND RELEVANCE

Assigning a designated clinician to execute a stepwise, routine care process following the checklist provided is a recommended intervention to overcome barriers. The intended impact is behavior change that reduces inappropriate prescribing.

A Pharmacovigilance Study of Adverse Drug Reactions Reported for Cardiovascular Disease Medications Approved Between 2012 and 2017 in the United States Food and Drug Administration Adverse Event Reporting System (FAERS) Database

PURPOSE

Between 2012 and 2017, the FDA approved 29 therapies for a cardiovascular disease (CVD) indication. Due to the limited literature on patient safety outcomes for recently approved CVD medications, this study investigated adverse drug reports (ADRs) reported in the FDA Adverse Event Reporting System (FAERS).

METHODS

A disproportionality analysis of spontaneously reported ADR was conducted. Reports in FAERS from Quarter 1, 2012, through Quarter 1, 2019, were compiled, allowing a 2-year buffer following drug approval in 2017. Top 10 reported ADRs and reporting odds ratios (ROR; confidence interval (CI)), a measure of disproportionality, were analyzed and compared to drugs available prior to 2012 as appropriate.

RESULTS

Of 7,952,147 ADR reports, 95,016 (1.19%) consisted of reports for newly approved CVD medications. For oral anticoagulants, apixaban had significantly lower reports for anemia and renal failure compared to dabigatran and rivaroxaban but greater reports for neurological signs/symptoms, and arrhythmias. Evaluating heart failure drugs, sacubitril/valsartan had greater reports for acute kidney injury, coughing, potassium imbalances, and renal impairment but notably, lower for angioedema compared to lisinopril. Assessing familial hypercholesterolemia drugs, alirocumab had greater reports for joint-related-signs/symptoms compared to other agents in this category. A newer pulmonary arterial hypertension treatment, selexipag, had greater reports of reporting for bone/joint-related-signs/symptoms but riociguat had greater reports for hemorrhages and vascular hypotension.

CONCLUSION

Pharmacovigilance studies allow an essential opportunity to evaluate the safety profile of CVD medications in clinical practice. Additional research is needed to evaluate these reported safety concerns for recently approved CVD medications.

Nephrotoxin Stewardship

Drugs are the third leading cause of acute kidney injury (AKI) in critically ill patients. Nephrotoxin stewardship ensures a structured and consistent approach to safe medication use and prevention of patient harm. Comprehensive nephrotoxin stewardship requires coordinated patient care management strategies for safe medication use, ensuring kidney health, and avoiding unnecessary costs to improve the use of nephrotoxins, renally eliminated drugs, and kidney disease treatments. Implementing nephrotoxin stewardship reduces medication errors and adverse drug events, prevents or reduces severity of drug-associated AKI, prevents progression to or worsening of chronic kidney disease, and alleviates financial burden on the health care system.

A systematic review of cost-effectiveness analyses across the acute kidney injury landscape

Introduction: Acute kidney injury (AKI) is a complex and common condition associated with increased morbidity, mortality, and costs. Evidence from cost-effectiveness analysis (CEA) have targeted various aspects of AKI including detection with biomarkers, treatment with renal replacement therapy, and prevention when using contrast media. However, there has not been a systematic review of these studies across the entirety of AKI.Areas covered: PubMed, Embase, and Cochrane library were used to identify CEA studies that involved AKI from 2004 onwards. These studies compared AKI treatment through renal replacement therapies (n = 6), prevention of contrast-induced-AKI (CI-AKI) using different media (n = 3), and diagnosis with novel biomarkers (n = 2). Treatment strategies for AKI focused on continuous versus intermittent renal replacement therapy. While there was no consensus, the majority of studies favored the continuous form. For contrast media, both studies found iodixanol to be cost-effective compared to iohexol for preventing CI-AKI. Additionally, novel biomarkers showed potential to be cost-effective in risk assessment and detection of AKI.Expert opinion: Consistent criteria such as a lifetime time horizon would allow for better model comparisons. Further research on clinical parameters to capture transition probabilities between stages within AKI and progression to downstream kidney disease is needed.

Use of Disproportionality Analysis to Identify Previously Unknown Drug-Associated Causes of Cardiac Arrhythmias Using the Food and Drug Administration Adverse Event Reporting System (FAERS) Database

INTRODUCTION

Drug-induced QT_c-prolongation is a well-known adverse drug reaction (ADR), however there is limited knowledge of other drug-induced arrhythmias.

PURPOSE

The objective of this study is to determine the drugs reported to be associated with arrhythmias other than QT_c-prolongation using the FAERS database, possibly identifying potential drug causes that have not been reported previously.

METHODS

FAERS reports from 2004 quarter 1 through 2019 quarter 1 were combined to create a dataset of approximately 11.6 million reports. Search terms for arrhythmias of interest were selected from the Standardized MedDRA Queries (SMQ) Version 12.0. Frequency of the cardiac arrhythmias were determined for atrial fibrillation, atrioventricular block, bradyarrhythmia, bundle branch block, supraventricular tachycardia, and ventricular fibrillation and linked to the reported causal medications. Reports were further categorized by prior evidence associations using package inserts and established drug databases. A reporting odds ratio (ROR) and confidence interval (CI) were calculated for the ADRs for each drug and each of the 6 cardiac arrhythmias.

RESULTS

Of the 11.6 million reports in the FAERS database, 68,989 were specific to cardiac arrhythmias of interest. There were 61 identified medication-reported arrhythmia pairs for the 6 arrhythmia groups with 33 found to have an unknown reported association. Rosiglitazone was the most frequently medication reported across all arrhythmias [ROR 6.02 (CI: 5.82-6.22)]. Other medications with significant findings included: rofecoxib, digoxin, alendronate, lenalidomide, dronedarone, zoledronic acid, adalimumab, dabigatran, and interferon beta-1b.

CONCLUSION

Upon retrospective analysis of the FAERS database, the majority of drug-associated arrhythmias reported were unknown suggesting new potential drug causes. Cardiac arrhythmias other than QTc prolongation are a new area of focus for pharmacovigilance and medication safety. Consideration of future studies should be given to using the FAERS database as a timely pharmacovigilance tool to identify unknown adverse events of medications.

Transforming the Medication Regimen Review Process Using Telemedicine to Prevent Adverse Events

BACKGROUND/OBJECTIVES

Federally-mandated consultant pharmacist-conducted retrospective medication regimen reviews (MRRs) are designed to improve medication safety in nursing homes (NH). However, MRRs are potentially ineffective. A new model of care that improves access to and efficiency of consultant pharmacists is needed. The objective of this study was to determine the impact of pharmacist-led telemedicine services on reducing high-risk medication adverse drug events (ADEs) for NH residents using medication reconciliation and prospective MRR on admission plus ongoing clinical decision support alerts throughout the residents' stay.

DESIGN

Quality improvement study using a stepped-wedge design comparing the novel service to usual care in a one-year evaluation from November 2016 to October 2017.

SETTING

Four NHs (two urban, two suburban) in Southwestern Pennsylvania.

PARTICIPANTS

All residents in the four NHs were screened. There were 2,127 residents admitted having 652 alerts in the active period.

INTERVENTION

Upon admission, pharmacists conducted medication reconciliation and prospective MRR for residents and also used telemedicine for communication with cognitively-intact residents. Post-admission, pharmacists received clinical decision support alerts to conduct targeted concurrent MRRs and telemedicine.

MEASUREMENT

Main outcome was incidence of high-risk medication, alert-specific ADEs. Secondary outcomes included all-cause hospitalization, 30-day readmission rates, and consultant pharmacists' recommendations.

RESULTS

Consultant pharmacists provided 769 recommendations. The intervention group had a 92% lower incidence of alert-specific ADEs than usual care (9 vs 31; 0.14 vs 0.61/1,000-resident-days; adjusted incident rate ratio (AIRR) = 0.08 (95% confidence interval (CI) = 0.01-0.40]; P = .002). All-cause hospitalization was similar between groups (149 vs 138; 2.33 vs 2.70/1,000-resident-days; AIRR = 1.06 (95% CI = 0.72-1.58); P = .75), as were 30-day readmissions (110 vs 102; 1.72 vs 2.00/1,000-resident-days; AIRR = 1.21 (95% CI = 0.76-1.93); P = .42).

CONCLUSIONS

This is the first evaluation of the impact of pharmacist-led patient-centered telemedicine services to manage high-risk medications during transitional care and throughout the resident's NH stay, supporting a new model of patient care.

Recommendations on Acute Kidney Injury Biomarkers From the Acute Disease Quality Initiative Consensus Conference: A Consensus Statement

IMPORTANCE

In the last decade, new biomarkers for acute kidney injury (AKI) have been identified and studied in clinical trials. Guidance is needed regarding how best to incorporate them into clinical practice.

OBJECTIVE

To develop recommendations on AKI biomarkers based on existing data and expert consensus for practicing clinicians and researchers.

EVIDENCE REVIEW

At the 23rd Acute Disease Quality Initiative meeting, a meeting of 23 international experts in critical care, nephrology, and related specialties, the panel focused on 4 broad areas, as follows: (1) AKI risk assessment; (2) AKI prediction and prevention; (3) AKI diagnosis, etiology, and management; and (4) AKI progression and kidney recovery. A literature search revealed more than 65 000 articles published between 1965 and May 2019. In a modified Delphi process, recommendations and consensus statements were developed based on existing data, with 90% agreement among panel members required for final adoption. Recommendations were graded using the Grading of Recommendations, Assessment, Development and Evaluations system.

FINDINGS

The panel developed 11 consensus statements for biomarker use and 14 research recommendations. The key suggestions were that a combination of damage and functional biomarkers, along with clinical information, be used to identify high-risk patient groups, improve the diagnostic accuracy of AKI, improve processes of care, and assist the management of AKI.

CONCLUSIONS AND RELEVANCE

Current evidence from clinical studies supports the use of new biomarkers in prevention and management of AKI. Substantial gaps in knowledge remain, and more research is necessary.

A Systemwide Approach for Navigating the Dilemma of Oral Factor Xa Inhibitor Interference With Unfractionated Heparin Anti-Factor Xa Concentrations

BACKGROUND

Oral factor Xa inhibitors are known to significantly increase heparin anti-Xa concentrations, which leads to inaccuracies when monitoring intravenous unfractionated heparin (IV UFH). Guidance for managing this laboratory interference is lacking, creating substantial uncertainty in clinical practice.

OBJECTIVE

To describe a strategy used by a large academic institution for managing the controversy of laboratory interference in the setting of oral factor Xa inhibitor use and provide effectiveness and safety data for this approach.

METHODS

In December 2016, a new Heparin IV Direct Oral Anticoagulant (DOAC) Interference PowerPlan (a comprehensive order set) was made available in the electronic health record (Cerner, North Kansas City, MO) throughout the health system. We retrospectively examined 169 patients with events reported in the error reporting system, RISKMASTER, and evaluated reports with and without the use of the PowerPlan. Effectiveness was determined through evaluation of thrombosis. The Naranjo criteria for causality were applied to assess thrombotic events.

RESULTS

Of 56 events that were reported with apixaban when the PowerPlan was not ordered, 4 (7%) thrombotic events occurred within 7 days of UFH initiation. One out of the 4 events (25%) that occurred when the PowerPlan was not appropriately initiated was considered probable using the Naranjo Scale. Three additional events (75%) were possible using the Naranjo Scale.

CONCLUSION AND RELEVANCE

The Heparin IV DOAC Interference PowerPlan appears to be conducive to positive patient outcomes when evaluating voluntary reported events and may assist clinicians with managing the therapeutic dilemma of this laboratory interference.

Safety concerns reported by consumers, manufacturers and healthcare professionals: A detailed evaluation of opioid-related adverse drug reactions in the FDA database over 15 years

To perform an in-depth analysis of opioid-related ADRs reported by consumers, manufacturers and healthcare professionals. Delving into the depth and breadth of reported opioid-related adverse drug reactions (ADRs) provides an opportunity to strategize better clinical management and alleviate safety concerns. Retrospective pharmacovigilance disproportionality analysis for opioid-related ADRs in the FDA Adverse Event Reporting System (FAERS) database was performed. Detailed analysis of patient (sex, age) and report (year of report; reporter: healthcare worker vs consumer) characteristics were conducted using reports from 2004 quarter 1 to 2018 quarter 4. Reporting odds ratios and confidence intervals (RORs,CI) were calculated. Of the 1 916 674 ADR reports, 300 985 indicated opioids as the primary medication. There was a surge in opioid-related ADRs reported in 2018 with six times more reports compared to 2004 and twice the number of reports compared to 2017. The largest ROR among the 20 common ADRs was depression and suicide-self-injury (ROR 3.12, 95% CI 3.01-3.22) for reports in age group ≥65 compared to age group 18 to 64, and lack of efficacy (ROR 6.80, 95% CI 6.61-7.00) for males compared to females. ADRs with the largest RORs for consumers included lack of efficacy/effect (ROR 3.37, 95% CI 3.28-3.46), administration site reactions (ROR 3.21, 95% CI 3.11-3.32), depression and suicide self-injury (ROR 2.26, 95% CI 2.14-2.38) compared to healthcare professionals. Important aspects of opioid ADR voluntary reporting included suicidal ideation in elderly patients and lack of efficacy, especially in male patients. This examination provides insight to better manage safety concerns of opioids.

Sedation, Analgesia, and Paralysis in COVID-19 Patients in the Setting of Drug Shortages

The rapid spread of the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has led to a global pandemic. The 2019 coronavirus disease (COVID-19) presents with a spectrum of symptoms ranging from mild to critical illness requiring intensive care unit (ICU) admission. Acute respiratory distress syndrome is a major complication in patients with severe COVID-19 disease. Currently, there are no recognized pharmacological therapies for COVID-19. However, a large number of COVID-19 patients require respiratory support, with a high percentage requiring invasive ventilation. The rapid spread of the infection has led to a surge in the rate of hospitalizations and ICU admissions, which created a challenge to public health, research, and medical communities. The high demand for several therapies, including sedatives, analgesics, and paralytics, that are often utilized in the care of COVID-19 patients requiring mechanical ventilation, has created pressure on the supply chain resulting in shortages in these critical medications. This has led clinicians to develop conservation strategies and explore alternative therapies for sedation, analgesia, and paralysis in COVID-19 patients. Several of these alternative approaches have demonstrated acceptable levels of sedation, analgesia, and paralysis in different settings but they are not commonly used in the ICU. Additionally, they have unique pharmaceutical properties, limitations, and adverse effects. This narrative review summarizes the literature on alternative drug therapies for the management of sedation, analgesia, and paralysis in COVID-19 patients. Also, this document serves as a resource for clinicians in current and future respiratory illness pandemics in the setting of drug shortages.

A Conceptual Framework to Study the Implementation of Clinical Decision Support Systems (BEAR): Literature Review and Concept Mapping

Background

The implementation of clinical decision support systems (CDSSs) as an intervention to foster clinical practice change is affected by many factors. Key factors include those associated with behavioral change and those associated with technology acceptance. However, the literature regarding these subjects is fragmented and originates from two traditionally separate disciplines: implementation science and technology acceptance.

Objective

Our objective is to propose an integrated framework that bridges the gap between the behavioral change and technology acceptance aspects of the implementation of CDSSs.

Methods

We employed an iterative process to map constructs from four contributing frameworks—the Theoretical Domains Framework (TDF); the Consolidated Framework for Implementation Research (CFIR); the Human, Organization, and Technology-fit framework (HOT-fit); and the Unified Theory of Acceptance and Use of Technology (UTAUT)—and the findings of 10 literature reviews, identified through a systematic review of reviews approach.

Results

The resulting framework comprises 22 domains: agreement with the decision algorithm; attitudes; behavioral regulation; beliefs about capabilities; beliefs about consequences; contingencies; demographic characteristics; effort expectancy; emotions; environmental context and resources; goals; intentions; intervention characteristics; knowledge; memory, attention, and decision processes; patient–health professional relationship; patient’s preferences; performance expectancy; role and identity; skills, ability, and competence; social influences; and system quality. We demonstrate the use of the framework providing examples from two research projects.

Conclusions

We proposed BEAR (BEhavior and Acceptance fRamework), an integrated framework that bridges the gap between behavioral change and technology acceptance, thereby widening the view established by current models.

Controversies in acute kidney injury: conclusions from a Kidney Disease: Improving Global Outcomes (KDIGO) Conference

In 2012, Kidney Disease: Improving Global Outcomes (KDIGO) published a guideline on the classification and management of acute kidney injury (AKI). The guideline was derived from evidence available through February 2011. Since then, new evidence has emerged that has important implications for clinical practice in diagnosing and managing AKI. In April of 2019, KDIGO held a controversies conference entitled Acute Kidney Injury with the following goals: determine best practices and areas of uncertainty in treating AKI; review key relevant literature published since the 2012 KDIGO AKI guideline; address ongoing controversial issues; identify new topics or issues to be revisited for the next iteration of the KDIGO AKI guideline; and outline research needed to improve AKI management. Here, we present the findings of this conference and describe key areas that future guidelines may address.