Hospitalization as an opportunity to improve lung cancer screening in high-risk patients.

BACKGROUND: Lung cancer screening with annual low-dose computed tomography (LDCT) in high-risk patients with exposure to smoking reduces lung cancer-related mortality, yet the screening rate of eligible adults is low. As hospitalization is an opportune moment to engage patients in their overall health, it may be an opportunity to improve rates of lung cancer screening. Prior to implementing a hospital-based lung cancer screening referral program, this study assesses the association between hospitalization and completion of lung cancer screening. METHODS: A retrospective cohort study of evaluated completion of at least one LDCT from 2014 to 2021 using electronic health record data using hospitalization as the primary exposure. Patients aged 55-80 who received care from a university-based internal medicine clinic and reported cigarette use were included. Univariate analysis and logistic regression evaluated the association of hospitalization and completion of LDCT. Cox proportional hazard model examined the time relationship between hospitalization and LDCT. RESULTS: Of the 1935 current smokers identified, 47% had at least one hospitalization, and 21% completed a LDCT during the study period. While a higher proportion of patients with a hospitalization had a LDCT (24%) compared to patients without a hospitalization (18%, p<0.001), there was no association between hospitalization and completion of a LDCT after adjusting for potentially confounding covariates (95%CI 0.680 - 1.149). There was an association between hospitalization time to event and LDCT completion, with hospitalized patients having a lower probability of competing LDCT compared to non-hospitalized patients (HR 0.747; 95% CI 0.611 - 0.914). CONCLUSIONS: In a cohort of patients at risk for lung cancer and established within a primary care clinic, only 1 in 4 patients who had been hospitalized completed lung cancer screening with LDCT. Hospitalization events were associated with a lower probability of LDCT completion. Hospitalization is a missed opportunity to refer at-risk patients to lung cancer screening.

Effect of Delirium on Interhospital Transfer Outcomes.

OBJECTIVES: Interhospital transfer (IHT) and in-hospital delirium are both independently associated with increased length of stay (LOS), mortality, and discharge to facility. Our objective was to investigate the joint effects between IHT and the presence of in-hospital delirium on the outcomes of LOS, discharge to a facility, and in-hospital mortality. METHODS: This was a single-center retrospective cohort study of 25,886 adult hospital admissions at a tertiary-care academic medical center. Staged multivariable logistic and linear regression models were used to evaluate the association between IHT status and the outcomes of discharge to a facility, LOS, and mortality while considering the joint impact of delirium. The joint effects of IHT status and delirium were evaluated by categorizing patients into one of four categories: emergency department (ED) admissions without delirium, ED admissions with delirium, IHT admissions without delirium, and IHT admissions with delirium. The primary outcomes were LOS, in-hospital mortality, and discharge disposition. RESULTS: The odds of discharge to a facility were 4.48 times higher in admissions through IHT with delirium when compared with ED admissions without delirium. IHT admissions with delirium had a 1.97-fold (95% confidence interval 1.88-2.06) longer LOS when compared with admission through the ED without delirium. Finally, admissions through IHT with delirium had 3.60 (95% confidence interval 2.36-5.49) times the odds of mortality when compared with admissions through the ED without delirium. CONCLUSIONS: The relationship between IHT and delirium is complex, and patients with IHT combined with in-hospital delirium are at high risk of longer LOS, discharge to a facility, and mortality.

Is hospitalization a missed opportunity to intervene on tobacco cessation?

BACKGROUND: Although tobacco use is associated with elevated morbidity and mortality, its use remains widespread among adults within the United States. Nicotine Replacement Therapy (NRT) products are effective aids that improve rates of tobacco cessation. Many smokers interact with the medical system, such as during hospitalization, without their tobacco use addressed. Hospitalization is a teachable moment for patients to make health-related changes, including tobacco cessation. METHODS: Retrospective cohort study of adult patients in a university-based patient-centered medical home from 2012 to 2021 evaluating the proportion of adults who smoke who received at least one prescription for NRT. Logistic regression models were used to analyze the association of being hospitalized and receipt of a NRT prescription. RESULTS: Of the 4,072 current smokers identified, 1,182 (29%) received at least one prescription for NRT during the study period. Hospitalization was associated with increased odds of receiving a NRT prescription (OR 1.68). Of 1,844 current smokers with a hospitalization during the study period, 1,078 (58%) never received a prescription for NRT at any point. Only 87 (5%) of the smokers received a prescription for NRT during hospitalization or at the time of hospital discharge. CONCLUSIONS: Despite hospitalization being associated with NRT prescribing, most patients who use tobacco and are hospitalized are not prescribed NRT. Hospitalization is an underutilized opportunity for both hospitalists and primary care physicians to intervene on smoking cessation through education and prescription of tobacco cessation aids.

FIB-4 as a Time-varying Covariate and Its Association With Severe Liver Disease in Primary Care: A Time-dependent Cox Regression Analysis.

BACKGROUND AND GOALS: The Fibrosis-4 Index (FIB-4) has demonstrated a strong association with severe liver disease (SLD) outcomes in primary care, but previous studies have only evaluated this relationship using 1 or 2 FIB-4 scores. In this study, we determined the association of FIB-4 as a time-varying covariate with SLD risk using time-dependent Cox regression models. STUDY: This retrospective cohort study included primary care patients with at least 2 FIB-4 scores between 2012 and 2021. The outcome was the occurrence of an SLD event, a composite of cirrhosis, complications of cirrhosis, hepatocellular carcinoma, and liver transplantation. The primary predictor was FIB-4 advanced fibrosis risk, categorized as low-(<1.3), indeterminate-(1.3≤FIB to 4<2.67), and high-risk (≥2.67). FIB-4 scores were calculated and the index, last, and maximum FIB-4s were identified. Time-dependent Cox regression models were used to estimate hazard ratios (HR) and their corresponding 95% CI with adjustment for potentially confounding covariates. RESULTS: In the cohort, 20,828 patients had a median of 5 (IQR: 3 to 11) FIB-4 scores each and 3% (n=667) suffered an SLD outcome during follow-up. Maximum FIB-4 scores were indeterminate-risk for 34% (7149) and high-risk for 24% (4971) of the sample, and 32% (6692) of patients had an increase in fibrosis risk category compared with their index value. The adjusted Cox regression model demonstrated an association between indeterminate- (hazard ratio 3.21; 95% CI 2.33-4.42) and high-risk (hazard ratio 20.36; 95% CI 15.03-27.57) FIB-4 scores with SLD outcomes. CONCLUSIONS: Multiple FIB-4 values per patient are accessible in primary care, FIB-4 fibrosis risk assessments change over time, and high-risk FIB-4 scores (≥2.67) are strongly associated with severe liver disease outcomes when accounting for FIB-4 as a time-varying variable.

Chronic liver disease is not associated with statin prescription in a primary care cohort.

Statins have historically been underutilized in patients with chronic liver disease (CLD). We sought to investigate the association between CLD and statin prescription in a primary care setting. Our retrospective cohort study identified primary care patients with a low-density lipoprotein value and more than one office visit from 2012 through 2018. Indication for statin therapy was determined using the Third Adult Treatment Panel criteria prior to November 2016 and the American College of Cardiology and American Heart Association guidelines thereafter. Indication for statin prescription and statin therapy by year was determined. Patients with CLD were identified using ICD-9/10 diagnosis codes. In total, 2119 individuals with an indication for statin therapy were identified. Of these individuals, 354 (16.7%) had CLD. Alcoholic and nonalcoholic fatty liver disease comprised 44.9% and 28.5% of the CLD population, respectively; 27.7% had cirrhosis. There was no difference in the prevalence of statin prescriptions when comparing patients with a CLD diagnosis to those without one (57.9 vs 59.9%, p = 0.48). A diagnosis of CLD was also not significantly associated with statin prescription when adjusting for other covariates (odds ratio (OR) 1.02; 95% confidence interval (CI) 0.78-1.33). An alanine aminotransferase level greater than 45 U/L significantly reduced the odds of a statin prescription (OR 0.62; 95% CI 0.44-0.87). Overall, the presence of a CLD diagnosis was not associated with attenuated statin utilization compared to those without a CLD diagnosis. Nevertheless, adherence to guideline indicated statin therapy remains suboptimal and efforts to increase statin utilization in this high-risk population remain prudent.

The Combined Effect of Delirium and Falls on Length of Stay and Discharge.

INTRODUCTION: Delirium or a fall are associated with many negative outcomes including increased length of stay (LOS) and discharge to a facility; however, this relationship is incompletely understood. METHODS: A cross-sectional study of all hospitalizations in a large, tertiary care hospital evaluated the effect of delirium and a fall on the outcomes of LOS and risk of being discharged to a facility. RESULTS: The study included 29,655 hospital admissions. A total of 3,707 (12.5%) patients screened positive for delirium and 286 (0.96%) had a reported fall. After adjustment for covariates, relative to patients without delirium or a fall, patients with delirium only had a 1.64-fold longer LOS; patients with fall only had a 1.96-fold longer LOS; and patients who had delirium and fall had a 2.84-fold longer LOS. The adjusted odds of discharge to a facility, relative to those without delirium or a fall, was 8.98 times higher in those with delirium and a fall. CONCLUSIONS: Delirium and falls influence LOS and likelihood of being discharged to a facility. The joint impact of falls and delirium on LOS and facility discharge was more than additive. Hospitals should consider the integrated management of delirium and falls.

Gaps in Confirmatory Fibrosis Risk Assessment in Primary Care Patients with Nonalcoholic Fatty Liver Disease.

BACKGROUND: As recommendations for non-invasive fibrosis risk assessment in nonalcoholic fatty liver disease (NAFLD) emerge, it is not known how often they are performed in primary care. AIMS: We investigated the completion of confirmatory fibrosis risk assessment in primary care patients with NAFLD and indeterminate-risk or greater Fibrosis-4 Index (FIB-4) and NAFLD Fibrosis Scores (NFS). METHODS: This retrospective cohort study of electronic health record data from a primary care clinic identified patients with diagnoses of NAFLD from 2012 through 2021. Patients with a diagnosis of a severe liver disease outcome during the study period were excluded. The most recent FIB-4 and NFS scores were calculated and categorized by advanced fibrosis risk. Charts were reviewed to identify the outcome of a confirmatory fibrosis risk assessment by liver elastography or liver biopsy for all patients with indeterminate-risk or higher FIB-4 (≥ 1.3) and NFS (≥ - 1.455) scores. RESULTS: The cohort included 604 patients diagnosed with NAFLD. Two-thirds of included patients (399) had a FIB-4 or NFS score greater than low-risk, 19% (113) had a high-risk FIB-4 (≥ 2.67) or NFS (≥ 0.676) score, and 7% (44) had high-risk FIB-4 and NFS values. Of these 399 patients with an indication for a confirmatory fibrosis test, 10% (41) underwent liver elastography (24) or liver biopsy (18) or both (1). CONCLUSIONS: Advanced fibrosis is a key indicator of future poor health outcomes in patients with NAFLD and a critical signal for referral to hepatology. Significant opportunities exist to improve confirmatory fibrosis risk assessment in patients with NAFLD.

Dissemination of Remote Patient Monitoring: An Academic-Community Primary Care Partnership in South Carolina.

CONTEXT: Remote patient monitoring (RPM) for diabetes and hypertension may reduce barriers to patient care, leading to improved disease control and decreased morbidity and mortality. PROGRAM: We describe the implementation of a community-academic partnership to improve diabetes and hypertension control for underserved populations using RPM. IMPLEMENTATION: In 2014, our academic medical center (AMC) began working with community health centers (CHCs) to implement a centrally monitored RPM program for patients with diabetes. AMC nurses recruited, trained, and supported community partners through regular communication. Community sites were responsible for enrollment, follow-up visits, and all treatment adjustments. EVALUATION: More than 1350 patients have been enrolled across 19 counties and 16 predominantly rural CHCs. The majority of patients reported low annual household income and African American or Hispanic background. It took about 6 to 9 months of planning at each CHC prior to first enrolled patient. More than 30% of patients utilizing the newer device continued to transmit glucose readings regularly at week 52 of enrollment. Hemoglobin A 1c data reporting was completed for more than 90% of patients at 6 and 12 months postenrollment. DISCUSSION: Partnering of our AMC with CHCs enabled dissemination of an effective, inexpensive tool that engaged underserved populations in rural South Carolina and improved chronic disease management. We supported implementation of clinically effective diabetes RPM programs at several CHCs, reaching a large number of historically underserved and underresourced rural CHC patients with diabetes. We summarize key steps to achieving a successful, collaborative RPM program through AMC-CHC partnerships.

Real-World Primary Care Data Comparing ALT and FIB-4 in Predicting Future Severe Liver Disease Outcomes.

BACKGROUND: Alanine aminotransferase (ALT) has long provided a cue for chronic liver disease (CLD) diagnostic evaluation, but the Fibrosis-4 Index (FIB-4), a serologic score used for predicting advanced fibrosis risk in CLD, may provide an alternative signal. OBJECTIVE: Compare the predictive performance of FIB-4 with ALT for severe liver disease (SLD) events while adjusting for potential confounders. DESIGN: Retrospective cohort study of primary care electronic health record data from 2012 to 2021. PATIENTS: Adult primary care patients with at least two sets of ALT and other lab values necessary for calculating two unique FIB-4 scores, excluding those patients with an SLD prior to their index FIB-4 value. MAIN MEASURES: The occurrence of an SLD event, a composite of cirrhosis, hepatocellular carcinoma, and liver transplantation, was the outcome of interest. Categories of ALT elevation and FIB-4 advanced fibrosis risk were the primary predictor variables. Multivariable logistic regression models were developed to evaluate the association of FIB-4 and ALT with SLD, and the areas under the curve (AUC) for each model were compared. KEY RESULTS: The cohort of 20,828 patients included 14% with an abnormal index ALT (≥40 IU/L) and 8% with a high-risk index FIB-4 (≥2.67). During the study period, 667 (3%) patients suffered an SLD event. Adjusted multivariable logistic regression models demonstrated an association between high-risk FIB-4 (OR 19.34; 95%CI 15.50-24.13), persistently high-risk FIB-4 (OR 23.85; 95%CI 18.24-31.17), abnormal ALT (OR 7.07; 95%CI 5.81-8.59), and persistently abnormal ALT (OR 7.58; 95%CI 5.97-9.62) with SLD outcomes. The AUC of the index FIB-4 (0.847, p < 0.001) and combined FIB-4 (0.849, p < 0.001) adjusted models exceeded the index ALT adjusted model (0.815). CONCLUSIONS: High-risk FIB-4 scores demonstrated superior performance compared to abnormal ALT in predicting future SLD outcomes.

The Association between Delirium and In-Hospital Falls: A Cross-Sectional Analysis of a Delirium Screening Program.

Methods: A cross-sectional study using delirium screening and falls reports was used to measure the association between delirium and falls. All inpatient data from August, 2018, to January, 2020, at a large academic medical center were analyzed. A multivariable logistic regression of 29,655 hospital admissions was used to understand the association between in-hospital delirium and falls. Results: Analysis revealed a delirium rate of 12.5% (n = 3,707) of all admissions and 286 (0.9%) admissions with falls; of the falls studied, 37.6% of these patients screened positive for delirium during their admission. Relative to those who screened negative for delirium, admissions that screened positive for delirium had a 2.81 increased odds of falling. Conclusions: Delirium and falls are related. This strong association should motivate health systems to look closely at both problems. Falls and delirium can both have immense impacts on the patient and the health system. The powerful association between them provides a window to reduce these additional patient harms. More specifically, a modern delirium screening tool should be used as part of routine risk assessment focused on reducing in-hospital falls.

Understanding the association between admission source and in-hospital delirium: A cross-sectional study.

Patients admitted via interhospital transfer (IHT) experience increased risk-adjusted mortality, adverse events, length of stay, and discharge to facility; however, the etiology is not well understood. We hypothesize that IHTs are more likely to experience in-hospital delirium as compared with admissions to the hospital via the emergency department (ED) and clinic. This is a cross-sectional study of all adult admissions to medical, surgical, neurological, and obstetrics and gynecology services at an academic medical center who were screened for delirium between August 2018 and January 2020. Unit of analysis was admission source (IHT vs ED vs clinic) as the independent variable and the primary outcome was in-hospital delirium, assessed with initial brief confusion assessment method (bCAM) screening. 30,100 hospitalizations were included in this study with 3925 admissions (13.0%) screening positive for delirium at the initial bCAM assessment. The prevalence of delirium was much higher in IHTs at 22.3% (1334/5971) when compared with clinic at 5.8% (244/4214) and ED at 11.8% (2347/19,915) admissions. Multivariable logistic regression adjusting for demographics and comorbidities showed that IHT admissions had higher odds (OR 1.91, 95% CI 1.74 to 2.10) and clinic admissions had lower odds (OR 0.56, 95% CI 0.48 to 0.64) of in-hospital delirium compared with ED admissions. Increased odds of delirium in IHT admissions may contribute to the observed increased length of stay, discharge to facility, and mortality. These results emphasize the importance of routine screening and possible intervention prior to patient transfer.

Identifying Patients at Risk for Fibrosis in a Primary Care NAFLD Cohort.

GOALS AND BACKGROUND: Using natural language processing to create a nonalcoholic fatty liver disease (NAFLD) cohort in primary care, we assessed advanced fibrosis risk with the Fibrosis-4 Index (FIB-4) and NAFLD Fibrosis Score (NFS) and evaluated risk score agreement. MATERIALS AND METHODS: In this retrospective study of adults with radiographic evidence of hepatic steatosis, we calculated patient-level FIB-4 and NFS scores and categorized them by fibrosis risk. Risk category and risk score agreement was analyzed using weighted κ, Pearson correlation, and Bland-Altman analysis. A multinomial logistic regression model evaluated associations between clinical variables and discrepant FIB-4 and NFS results. RESULTS: Of the 767 patient cohorts, 71% had a FIB-4 or NFS score in the indeterminate-risk or high-risk category for fibrosis. Risk categories disagreed in 43%, and scores would have resulted in different clinical decisions in 30% of the sample. The weighted κ statistic for risk category agreement was 0.41 [95% confidence interval (CI): 0.36-0.46] and the Pearson correlation coefficient for log FIB-4 and NFS was 0.66 (95% CI: 0.62-0.70). The multinomial logistic regression analysis identified black race (odds ratio=2.64, 95% CI: 1.84-3.78) and hemoglobin A1c (odds ratio=1.37, 95% CI: 1.23-1.52) with higher odds of having an NFS risk category exceeding FIB-4. CONCLUSIONS: In a primary care NAFLD cohort, many patients had elevated FIB-4 and NFS risk scores and these risk categories were often in disagreement. The choice between FIB-4 and NFS for fibrosis risk assessment can impact clinical decision-making and may contribute to disparities of care.

FIB-4 and incident severe liver outcomes in patients with undiagnosed chronic liver disease: A Fine-Gray competing risk analysis.

BACKGROUND AND AIMS: The Fibrosis-4 index (FIB-4) can reliably assess fibrosis risk in patients with chronic liver disease, and advanced fibrosis is associated with severe liver disease (SLD) outcomes. However, CLD is underdiagnosed in primary care. We examined the association between FIB-4 risk strata and the incidence of SLD preceding a CLD diagnosis while considering incident CLD diagnoses as competing risks. METHODS: Using primary care clinic data between 2007 and 2018, we identified patients with two FIB-4 scores and no liver disease diagnoses preceding the index FIB-4. Patients were followed from index FIB-4 until an incident SLD (a composite of cirrhosis, hepatocellular carcinoma or liver transplantation), CLD or were censored. Hazard ratios were computed using a Fine-Gray competing risk model. RESULTS: Of 20 556 patients, there were 54.8% in the low, 34.8% in the indeterminate, 6.6% in the high and 3.8% in the persistently high-risk FIB-4 strata. During a mean 8.2 years of follow-up, 837 (4.1%) patients experienced an SLD outcome and 11.5% of the sample received a CLD diagnosis. Of patients with an SLD event, 49% received no preceding CLD diagnosis. In the adjusted Fine-Gray model, the indeterminate (HR 1.41, 95% CI 1.17-1.71), high (HR 4.65, 95% CI 3.76-5.76) and persistently high-risk (HR 7.60, 95% CI 6.04-9.57) FIB-4 risk strata were associated with a higher incidence of SLD compared to the low-risk stratum. CONCLUSIONS: FIB-4 scores with indeterminate- and high-risk values are associated with an increased incidence of SLD in primary care patients without known CLD.

Opioid Use Patterns in a Statewide Adult Medicaid Population Undergoing Elective Lumbar Spine Surgery.

STUDY DESIGN: Retrospective administrative database review. OBJECTIVE: Analyze patterns of opioid use in patients undergoing lumbar surgery and determine associated risk factors in a Medicaid population. SUMMARY OF BACKGROUND DATA: Opioid use in patients undergoing surgery for degenerative lumbar spine conditions is prevalent and impacts outcomes. There is limited information defining the scope of this problem in Medicaid patients. MATERIALS AND METHODS: Longitudinal cohort study of adult South Carolina (SC) Medicaid patients undergoing lumbar surgery from 2014 to 2017. All patients had continuous SC Medicaid coverage for 15 consecutive months, including six months before and nine months following surgery. The primary outcome was a longitudinal assessment of postoperative opioid use to determine trajectories and group-based membership using latent modeling. Univariate and multivariable modeling was conducted to assess risk factors for group-based trajectory modeling and chronic opioid use (COU). RESULTS: A total of 1455 surgeries met inclusion criteria. Group-based trajectory model demonstrated patients fit into five groups; very low use (23.4%), rapid wean following surgery (18.8%), increasing use following surgery (12.9%), slow wean following surgery (12.6%) and sustained high use (32.2%). Variables predicting membership in high opioid use included preoperative opioid use, younger age, longer length of stay, concomitant medications, and readmissions. More than three quarter of patients were deemed COUs (76.4%). On bivariate analysis, patients with degenerative disk disease were more likely to be COUs (24.8% vs. 18.6%; P =0.0168), more likely to take opioids before surgery (88.5% vs. 61.9%; P <0.001) and received higher amounts of opioids during the 30 days following surgery (mean morphine milligram equivalents 59.6 vs. 25.1; P <0.001). CONCLUSIONS: Most SC Medicaid patients undergoing lumbar elective lumbar spine surgery were using opioids preoperatively and continued long-term use postoperatively at a higher rate than previously reported databases. Preoperative and perioperative intake, degenerative disk disease, multiple prescribers, depression, and concomitant medications were significant risk factors.

Surgical prescription opioid trajectories among state Medicaid enrollees.

OBJECTIVE: The objective of this study was to evaluate opioid use trajectories among a sample of 10,138 Medicaid patients receiving one of six index surgeries: lumbar spine, total knee arthroplasty, cholecystectomy, appendectomy, colon resection, and tonsillectomy. DESIGN: Retrospective cohort. SETTING: Administrative claims data. PATIENTS AND PARTICIPANTS: Patients, aged 13 years and older, with 15-month continuous Medicaid eligibility surrounding index surgery, were selected from single-state Medicaid medical and pharmacy claims data for surgeries performed between 2014 and 2017. INTERVENTIONS: None. MAIN OUTCOME MEASURES: Baseline comorbidities and presurgery opioid use were assessed in the 6 months prior to admission, and patients' opioid use was followed for 9 months post-discharge. Generalized linear model with log link and Poisson distribution was used to determine risk of chronic opioid use for all risk factors. Group-based trajectory models identified groups of patients with similar opioid use trajectories over the 15-month study period. RESULTS: More than one in three (37.7 percent) patients were post-surgery chronic opioid users, defined as the dichotomous outcome of filling an opioid prescription 90 or more days after surgery. Key variables associated with chronic post-surgery opioid use include presurgery opioid use, 30-day post-surgery opioid use, and comorbidities. Latent trajectory modeling grouped patients into six distinct opioid use trajectories. Associates of trajectory group membership are reported. CONCLUSIONS: Findings support the importance of surgeons setting realistic patient expectations for post-surgical opioid use, as well as the importance of coordination of post-surgical care among patients failing to fully taper off opioids within 1-3 months of surgery.

Association of delirium screening on hospitalized adults and postacute care utilization: A retrospective cohort study.

BACKGROUND: Patients with delirium have increased hospital length of stay (LOS), morbidity and mortality. Impact of delirium on postacute care (PAC) utilization is not fully characterized. Impact of screening for delirium on general medicine patients is unknown. The objective of this study was to assess impact of screening for delirium on inpatient PAC utilization. METHODS: This was a single center, retrospective cohort study at an academic tertiary care center in Charleston, SC. Patients were selected from adults hospitalized from home and discharged alive between June 2014 and June 2018. The brief confusion assessment method (bCAM) screening was conducted and documented by nursing on admission and every shift thereafter. Outcome measure was the proportion of patients discharged to facility. RESULTS: Of 93,388 non-ICU adult admission between June 2014 and June 2018, 4.4% of those not screened for delirium were discharged to facility versus 15.0% in those screened and 41.4% in those screening positive. Multivariable regression analysis showed that patients screened for delirium were 2.3 times more likely to discharge to facility (95% CI (2.145, 2.429)) while those with a positive bCAM were 3.3 times more likely than those with a negative bCAM to discharge to facility (95% CI (2.949, 3.712)). CONCLUSIONS: After adjusting for demographics, medication orders and comorbidities there was an association between screening for delirium, positive delirium screen and discharge to facility. An appreciation of where and why patients are discharged is imperative to optimize both patient care and cost utilization.

Incidence and patterns of persistent opioid use in children following appendectomy.

BACKGROUND: The past 5 years have witnessed a concerted national effort to assuage the rising tide of the opioid misuse in our country. Surgical procedures often serve as the initial exposure of children to opioids, however the trajectory of use following these exposures remains unclear. We hypothesized that opioid exposure following appendectomy would increase the risk of persistent opioid use among publicly insured children. STUDY DESIGN: A retrospective longitudinal cohort study was conducted on South Carolina Medicaid enrollees who underwent appendectomy between January 2014 and December 2017 using administrative claims data. The primary outcome was chronic opioid use. Generalized linear models and finite mixture models were employed in analysis. RESULTS: 1789 Medicaid pediatric patients underwent appendectomy and met inclusion criteria. The mean age was 11.1 years and 40.6% were female. Most patients (94.6%) did not receive opioids prior to surgery. Opioid prescribing ≥90 days after surgery (chronic opioid use) occurred in 127 (7.1%) patients, of which 102 (80.3%) had no opioid use in the preexposure period. Risk factors for chronic opioid use included non-naïve opioid status, re-hospitalization more than 30 days following surgery, multiple opioid prescribers, age, and multiple antidepressants/antipsychotic prescriptions. Group-based trajectory analysis demonstrated four distinct post-surgical opioid use patterns: no opioid use (91.3%), later use (6.7%), slow wean (1.9%), and higher use throughout (0.4%). CONCLUSION: Opioid exposure after appendectomy may serve as a priming event for persistent opioid use in some children. Eighty percent of children who developed post-surgical persistent opioid use had not received opioids in the 90 days leading up to surgery. Several mutable and immutable factors were identified to target future efforts toward opioid minimization in this at-risk patient population. LEVEL OF EVIDENCE: III.

The Association of Fibrosis-4 Index Scores with Severe Liver Outcomes in Primary Care.

BACKGROUND: The Fibrosis-4 Index (FIB-4)non-invasively assesses fibrosis risk in chronic liver disease (CLD), but underdiagnosis limits FIB-4's application in primary care. OBJECTIVE: To evaluate the association of FIB-4 risk with hazard of severe liver outcomes in primary care patients with and without diagnosed CLD. DESIGN: Retrospective cohort study of primary care data from 2007 to 2018. PARTICIPANTS: Adult patients with qualifying aminotransferase and platelet count results were included and a single FIB-4 score was calculated for each patient using the first of these values. Patients with a CLD diagnosis or outcome prior to their FIB-4 score were excluded. MEASURES: FIB-4 advanced fibrosis risk categorization (low, indeterminate, and high) was the primary predictor variable. Patients were followed from FIB-4 score to a severe liver outcome, a composite of cirrhosis, liver transplantation, and hepatocellular carcinoma. We analyzed the association of FIB-4 risk categories with hazard risk of a severe liver outcome using stratified Cox regression models, stratifying patients by known CLD. KEY RESULTS: A total of 20,556 patients were followed for a mean 2,978 days (SD 1,201 days), and 4% of patients experienced a severe liver outcome. Of patients with low-, indeterminate-, and high-risk FIB-4 scores, 2%, 4%, and 20% suffered a severe liver outcome, respectively. In the overall adjusted model, high-risk FIB-4 scores were associated with hazard of severe liver disease (HR 6.64; 95% CI 5.58-7.90). High-risk FIB-4 scores were associated with severe liver outcomes for patients with known NAFLD (HR 7.32; 95% CI 3.44-15.58), other liver disease (HR 11.39; 95% CI 8.53-15.20), and no known CLD (HR 4.05; 95% CI 3.10-5.28). CONCLUSIONS: High-risk FIB-4 scores were strongly associated with risk of severe liver outcomes in patients with and without known CLD. Comprehensive FIB-4 application in primary care may signal silently advancing liver fibrosis.

Patient Demographics and Clinic Type Are Associated With Patient Engagement Within a Remote Monitoring Program.

Background: Remote physiological monitoring (RPM) is accessible, convenient, relatively inexpensive, and can improve clinical outcomes. Yet, it is unclear in which clinical setting or target population RPM is maximally effective. Objective: To determine whether patients' demographic characteristics or clinical settings are associated with data transmission and engagement. Methods: This is a prospective cohort study of adults enrolled in a diabetes RPM program for a minimum of 12 months as of April 2020. We developed a multivariable logistic regression model for engagement with age, gender, race, income, and primary care clinic type as variables and a second model to include first-order interactions for all demographic variables by time. The participants included 549 adults (mean age 53 years, 63% female, 54% Black, and 75% very low income) with baseline hemoglobin A1c ≥8.0% and enrolled in a statewide diabetes RPM program. The main measure was the transmission engagement over time, where engagement is defined as a minimum of three distinct days per week in which remote data are transmitted. Results: Significant predictors of transmission engagement included increasing age, academic clinic type, higher annual household income, and shorter time-in-program (p < 0.001 for each). Self-identified race and gender were not significantly associated with transmission engagement (p = 0.729 and 0.237, respectively). Conclusions: RPM appears to be an accessible tool for minority racial groups and for the aging population, yet engagement is impacted by primary care location setting and socioeconomic status. These results should inform implementation of future RPM studies, guide advocacy efforts, and highlight the need to focus efforts on maintaining engagement over time.

Academic detailing increases prescription drug monitoring program use among primary care practices.

OBJECTIVE: Clinical review of a prescription drug monitoring program (PDMP) is considered a valuable tool for opioid prescribing risk mitigation; however, PDMP use is often low, even in states with mandatory registration and use policies. The objective was to evaluate the impact of an academic detailing (AD) outreach intervention on PDMP use among primary care prescribers. METHODS: AD intervention was delivered to primary care based controlled substance prescribers (N = 87) and their associated PDMP delegates (n = 42) by a clinical pharmacist as 1 component of a large-scale, statewide initiative to improve opioid prescribing safety. Prescriber PDMP use behavior was assessed by prescriber self-report and analysis of objective 2016-2018 PDMP data regarding the number of monthly report requests. We compared means between pre- and postintervention using a paired t test and plotted the monthly average reports over time to assess the trend of mean reports over time. Generalized linear mixed model with a negative binomial distribution was used to assess the difference in the trend and magnitude of the combined count of reports for the entire sample and prescriber subsets that were segmented on the basis of the adoption status of PDMP. RESULTS: The monthly mean of reports by combined prescribers and delegates significantly increased after the AD intervention (mean 28.1 pre vs. 53.0 post; P < 0.001), with the increase in delegate reports (mean 17.1 pre vs. 60.0 post; P < 0.001) driving the overall increase. Reports were requested 40.4 times more often than in the preintervention period (P < 0.001). Patterns of pre- to postchanges in mean monthly report requests differed by baseline PDMP adoption status. CONCLUSION: The AD intervention was transformative in facilitating practice change to use delegates to run reports. Visits with both prescribers and delegates, including hands-on PDMP training and registration assistance, can be viewed as beneficial for practice facilitation.