Hospital Admission Rates Research Articles

Effect of Surgery Setting for Outpatient Shoulder Procedures on Early Postoperative Complications in a Military Population

There has been a recent push to transition procedures previously performed at hospital-based outpatient surgical departments (HOPDs) to ambulatory surgery centers (ASCs). However, limited data regarding differences in early postoperative complications and care utilization (e.g., emergency department visits and unplanned admissions) may drive increased overall costs or worse outcomes. /Hypothesis: The purpose of this study was to examine differences in early 90-day adverse outcomes and postoperative emergency department visits associated with shoulder surgeries excluding arthroplasties that were performed in HOPDs and ASCs in a closed military health care system. We hypothesized that there would be no difference in outcomes between treatment settings. We retrospectively evaluated the records for 1,748 elective shoulder surgeries from 2015 to 2020. Patients were considered as one of two cohorts depending on whether they underwent surgery in an ASC or HOPD setting. We evaluated groups for differences incomplexity, surgical time, and medical risk. Outcome measures were emergency department visits, unplanned hospital admissions, and complications within the first 90 days after surgery. There was no difference in 90-day postoperative emergency department visits between procedures performed at HOPDs (n = 606) and ASCs (n = 1142). There was a slight increase in rate of unplanned hospital admission within 90 days after surgery in the HOPD cohort, most commonly for pain or overnight observation. The surgical time was significantly shorter (105 vs 119 minutes, p <0.01) at the ASC, but there was no difference in case complexity between the cohorts (p = 0.28). Our results suggest that in appropriate patients, surgery in ASCs can be safely leveraged for its costs savings, efficiency, patient satisfaction, decreases in operative time, and potentially decreased resource utilization both during surgery and in the early postoperative period.

Omicron SARS-CoV-2 infection management and outcomes in patients with hematologic disease and recipients of cell therapy.

Scarce real-life data exists for COVID-19 management in hematologic disease (HD) patients in the Omicron era. To assess the current clinical management and outcome of SARS-CoV-2 infection diagnosed, identify the risk factors for severe outcomes according to the HD characteristics and cell therapy procedures in a real-world setting. A retrospective observational registry led by the Spanish Transplant Group (GETH-TC) with 692 consecutive patients with HD from December 2021 to May 2023 was analyzed. Nearly one-third of patients (31%) remained untreated and presented low COVID-19-related mortality (0.9%). Nirmatrelvir/ritonavir was used mainly in mild COVID-19 cases in the outpatient setting (32%) with a low mortality (1%), while treatment with remdesivir was preferentially administered in moderate-to-severe SARS-CoV-2 infection cases during hospitalization (35%) with a mortality rate of 8.6%. The hospital admission rate was 23%, while 18% developed pneumonia. COVID-19-related mortality in admitted patients was 14%. Older age, autologous hematopoietic stem cell transplantation (SCT), chimeric antigen receptor T-cell therapy, corticosteroids and incomplete vaccination were factors independently associated with COVID-19 severity and significantly related with higher rates of hospital admission and pneumonia. Incomplete vaccination status, treatment with prior anti-CD20 monoclonal antibodies, and comorbid cardiomyopathy were identified as independent risk factors for COVID-19 mortality. The results support that, albeit to a lower extent, COVID-19 in the Omicron era remains a significant problem in HD patients. Complete vaccination (3 doses) should be prioritized in these immunocompromised patients. The identified risk factors may help to improve COVID-19 management to decrease the rate of severe disease, ICU admissions and mortality.

Impact of telemedical management on hospitalization and mortality in heart failure patients with diabetes: a post-hoc subgroup analysis of the TIM-HF2 trial

BackgroundThe TIM-HF2 study demonstrated that remote patient management (RPM) in a well-defined heart failure (HF) population reduced the percentage of days lost due to unplanned cardiovascular hospital admissions or all-cause death during 1-year follow-up (hazard ratio 0.80) and all-cause mortality alone (HR 0.70). Higher rates of hospital admissions and mortality have been reported in HF patients with diabetes compared with HF patients without diabetes. Therefore, in a post-hoc analysis of the TIM-HF2 study, we investigated the efficacy of RPM in HF patients with diabetes.MethodsTIM-HF2 study was a randomized, controlled, unmasked (concealed randomization), multicentre trial, performed in Germany between August 2013 and May 2018. HF-Patients in NYHA class II/III who had a HF-related hospital admission within the previous 12 months, irrespective of left ventricular ejection fraction, and were randomized to usual care with or without added RPM and followed for 1 year. The primary endpoint was days lost due to unplanned cardiovascular hospitalization or due to death of any cause. This post-hoc analysis included 707 HF patients with diabetes.ResultsIn HF patients with diabetes, RPM reduced the percentage of days lost due to cardiovascular hospitalization or death compared with usual care (HR 0.66, 95% CI 0.48–0.90), and the rate of all-cause mortality alone (HR 0.52, 95% CI 0.32–0.85). RPM was also associated with an improvement in quality of life (mean difference in change in global score of Minnesota Living with Heart Failure Questionnaire score (MLHFQ): − 3.4, 95% CI − 6.2 to − 0.6).ConclusionThese results support the use of RPM in HF patients with diabetes.Clinical trial registration ClinicalTrials.gov NCT01878630.

Variability in Practice of Buprenorphine Treatment by Emergency Department Operational Characteristics.

We sought to describe emergency department (ED) buprenorphine treatment variability among EDs with varying operational characteristics. We performed a retrospective cohort study of adult patients with opioid use disorder discharged from 12 hospital-based EDs within a large healthcare system as a secondary data analysis of a quality improvement study. Primary outcome of interest was buprenorphine treatment rate. We described treatment rates between EDs, categorized by tertile of operational characteristics including annual census, hospital and intensive care unit (ICU) admission rates, ED length of stay (LOS), and boarding time. Secondary outcomes were ED LOS and 30-day return rates. There were 7,469 unique ED encounters for patients with opioid use disorder between January 2020-May 2021, of whom 759 (10.2%) were treated with buprenorphine. Buprenorphine treatment rates were higher in larger EDs and those with higher hospital and ICU admission rates. Emergency department LOS and 30-day ED return rate did not have consistent associations with buprenorphine treatment. Rates of treatment with ED buprenorphine vary according to the operational characteristics of department. We did not observe a consistent negative relationship between buprenorphine treatment and operational metrics, as many feared. Additional funding and targeted resource allocation should be prioritized by departmental leaders to improve access to this evidence-based and life-saving intervention.

Pediatric Respiratory Syncytial Virus Hospitalizations, 2017-2023

Respiratory syncytial virus (RSV) transmission was disrupted worldwide following the COVID-19 pandemic, and further study is required to better understand these changes. To compare observed and expected RSV hospital and intensive care unit (ICU) admission rates and characteristics of admitted children during the 2021-2022 and 2022-2023 seasons. A population-based cohort study of all children aged younger than 5 years in Ontario, Canada, July 1, 2017, through March 31, 2023, was conducted. Individual and neighborhood-level sociodemographic and clinical characteristics were identified from administrative data, including age, palivizumab eligibility, complex medical conditions, rurality, and living in a marginalized neighborhood. The main outcome was RSV-associated hospitalization. Secondary outcomes included ICU admissions, mechanical ventilation, extracorporeal membrane oxygenation, and in-hospital death. Poisson generalized estimating equations were used to model weekly age- and sex-specific hospitalization rates and estimate expected rates in the postpandemic era; adjusted rate ratios (RRs) and 95% CIs are reported. This cohort study included approximately 700 000 children per study year. Compared with prepandemic years (2017-2018, 2018-2019, and 2019-2020), the 2021-2022 RSV season peaked slightly earlier, but overall admission rates were comparable (289.1 vs 281.4-334.6 per 100 000, or approximately 2000 admissions). The 2022-2023 season peaked a month earlier and resulted in more than twice as many hospitalizations (770.0 per 100 000; n = 4977 admissions). The proportion of children admitted to an ICU in 2022-2023 (13.9%) was slightly higher than prepandemic (9.6%-11.4%); however, the population-based rate was triple the prepandemic levels (106.9 vs 27.6-36.6 per 100 000 children in Ontario). With the exception of palivizumab-eligible children, all sociodemographic and health status characteristics were associated with lower-than-expected RSV hospitalization rates in 2021-2022. In contrast, older age of patients was associated with higher-than-expected rates in 2022-2023 (ie, 24-59 months: RR, 1.90; 95% CI, 1.35-2.66). There were notable differences in RSV epidemiologic characteristics in Ontario following the COVID-19 pandemic. It is not yet clear whether and how long atypical RSV epidemics may persist. Clinicians and program planners should consider the potential for ongoing impacts to health care capacity and RSV immunization programs.

The UK Soft Drinks Industry Levy and childhood hospital admissions for asthma in England

Sugar sweetened beverage consumption has been suggested as a risk factor for childhood asthma symptoms. We examined whether the UK Soft Drinks Industry Levy (SDIL), announced in March 2016 and implemented in April 2018, was associated with changes in National Health Service hospital admission rates for asthma in children, 22 months post-implementation of SDIL. We conducted interrupted time series analyses (2012-2020) to measure changes in monthly incidence rates of hospital admissions. Sub-analysis was by age-group (5-9,10-14,15-18 years) and neighbourhood deprivation quintiles. Changes were relative to counterfactual scenarios where the SDIL wasn’t announced, or implemented. Overall, incidence rates reduced by 20.9% (95%CI: 29.6-12.2). Reductions were similar across age-groups and deprivation quintiles. These findings give support to the idea that implementation of a UK tax intended to reduce childhood obesity may have contributed to a significant unexpected and additional public health benefit in the form of reduced hospital admissions for childhood asthma.

Chemotherapy Care Companion: Enhancing cancer care through digital remote monitoring.

1636 Background: Oncology patients often encounter preventable acute issues prompting the need for proactive monitoring and management. To manage disease and therapy complications, Ochsner Health developed Chemotherapy Care Companion (CCC) for remote monitoring of treatment patients. This abstract highlights the feasibility of digital remote monitoring (DRM) in managing oncologic patient care, while increasing patient satisfaction and reducing patient events and healthcare costs. Methods: Starting in January 2021, patients initiating an oral or intravenous cancer treatment with an active Ochsner portal account and smartphone became eligible. Providers can manually enroll patients via an order set and receive enrollment reminders within the Epic electronic medical record (EMR). Patients receive a digital WiFi-enabled monitoring scale, blood pressure cuff, and ear thermometer, at no cost. Patients are reminded via phone alerts to take vitals at 9am and 3pm, along with a daily questionnaire. The data is transmitted wirelessly to the EMR, where abnormal vital signs or questionnaire responses trigger escalations sent to an Epic in-basket pool. During clinic hours, advanced practice providers (APPs) review and intervene, utilizing embedded urgent care slots for same-day access. In August 2022, a patient satisfaction survey comprising of nine questions was distributed to all enrolled patients. Results: A retrospective analysis was conducted from September 2022 to August 2023 including 722 participants, 7,360 escalations and 668 interventions. Patient compliance reached 62%, defined as submitting at least 50% of daily vitals. The most common interventions were related to hypertension, hypotension, weight changes, and questionnaire responses. Regarding questionnaire responses, diarrhea, pain, fever, and dizziness were the mostly frequently triaged. Data analytics revealed that CCC led to a 5.9% decrease in emergency room visits, a 41.7% decrease in the rate of inpatient hospital admissions, and a 32.3% improvement in the inpatient length of stay compared to non-enrolled patients. Extrapolating this data across 5,500 oncology patients within our hospital system, CCC could prevent 172 ER visits, 914 inpatient hospital admissions and 2,006 hospital days. The survey (131 responses) revealed high satisfaction with CCC: over 80% felt a sense of security, 90% were overall satisfied, and more than 90% would recommend CCC. Conclusions: Findings highlight the value of integrating DRM in cancer care, showcasing its ability to reduce healthcare costs and optimize resource utilization while enhancing patient care and satisfaction. Moreover, the study underscores the high patient satisfaction and engagement with DRM, bolstering its feasibility and acceptance in oncology care. Further investigation is warranted to explore the financial benefits for hospitals, insurance companies, and pharmaceutical companies.

Introducing the Dementia Crisis Service in East Kent: Can We Reduce Rates of Hospital Admission?

Introducing the Dementia Crisis Service in East Kent: Can We Reduce Rates of Hospital Admission?

Appropriate use of blood cultures in the emergency department through machine learning (ABC): study protocol for a randomised controlled non-inferiority trial

IntroductionThe liberal use of blood cultures in emergency departments (EDs) leads to low yields and high numbers of false-positive results. False-positive, contaminated cultures are associated with prolonged hospital stays, increased...

Within-trial hospitalization resource utilization and budget impact analysis for darolutamide in metastatic hormone-sensitive prostate cancer using ARASENS.

ARASENS was a randomized, double-blind, phase 3 trial comparing darolutamide + docetaxel + androgen deprivation therapy (ADT) with placebo + docetaxel + ADT in patients with metastatic hormone-sensitive prostate cancer (mHSPC). To use clinical trial data from ARASENS to understand whether the addition of darolutamide to docetaxel + ADT leads to increased hospitalizations and to estimate the budget impact on the US health care system. We used mixed-effects negative binomial regression to estimate hospitalization and intensive care unit (ICU) admission rates and length of hospital stay (LoHS) counts. Hospitalization rates were estimated per treatment arm for the period during and after administration of docetaxel. Based on these estimates, a budget impact analysis evaluated the hospitalization costs (including ICU admissions) and standalone ICU hospitalization costs for the totality of the US population over a 5-year time horizon. The analysis compared a scenario without darolutamide vs one with darolutamide included in the US payer formulary. Hospitalization estimates were varied in a one-way sensitivity analysis. The first 4 months of treatment (when patients were receiving docetaxel) were associated with increased hospitalizations across both arms. The addition of darolutamide was associated with a numerical reduction in the rate of hospitalization (per year) due to any reason both during docetaxel treatment (1.01 visits per year [95% CI = 0.82-1.20] vs 1.18 visits per year [95% CI = 0.96-1.41]) and after docetaxel treatment (0.28 visits per year [95% CI = 0.23-0.34] vs 0.33 visits per year [95% CI = 0.27-0.40]). Darolutamide was associated with a marginally longer LoHS per hospitalization compared with placebo (+1.90 days per year) both during and after docetaxel treatment. ICU admissions were low in the ARASENS data; admission rates were assumed to be the same during and after docetaxel treatment. ICU admission rate estimates were equivalent across arms (0.02 visits per year [95% CI = 0.01-0.03]). The budget impact per treated member per month represents a cost-neutral option after Year 5 with a cumulative budget impact of -$9.71. The addition of darolutamide to docetaxel + ADT was associated with a numerically lower rate of hospitalization but marginally longer LoHS compared with docetaxel + ADT alone. Darolutamide represents a cost-neutral alternative per treated member per month compared with docetaxel + ADT with regard to hospitalizations at the end of a 5-year time horizon.

#1595 Use of machine learning directed interventions to reduce fluid related hospital admissions in hemodialysis patients

Abstract Background and Aims Patients with end-stage kidney disease (ESKD) are hospitalized nearly two times per year on average; volume overload, infections and other cardiovascular complications are amongst the most common causes of hospitalization. We developed a machine learning (ML) model to predict haemodialysis (HD) patients at imminent risk of hospitalization due to fluid overload within the next 7 days. Patients identified as high risk by the model were assessed, intervened, and triaged on by group of telephonic nurses. The goal of this analysis is to evaluate the impact of the ML model-directed interventions on fluid related hospital admissions and all cause hospital admissions. Method We used data from a group of ESKD patients on HD modality who were identified as high risk by the ML model between baseline months April 2022 and June 2023. These high-risk patients were eligible to receive an assessment by telephonic nurses. The follow-up months were defined as the month immediately following the baseline month. Intervention group was identified as the high-risk patients where a clinical chart review was performed with needs identified, clinical chart review was performed and patients were managed by the clinic, some contact was made over phone/mail by the telephonic nurse, or some clinical recommendation was made. High-risk patients without any intervention or activity documented by the telephonic nurse served as the control population. We used linear regression analysis with repeated measures to account for within patient variability to produce estimated outcome rates with 95% confidence intervals adjusting for baseline factors such as average ML model risk score, average albumin, gender, race, age, vintage, comorbidities like chronic heart failure, diabetes, hypertension, ischemic heart disease, and primary insurance. Results There were 15,878 patients (36,932 patient months) in the group that received intervention; there were 51,800 patients (398,594 patient months) in the group that did not receive intervention. The pooled analysis (Table 1) showed a 38% reduction in all cause hospital admission rate between the baseline and follow-up months for the group that received intervention and there was a 34% reduction in all cause hospital admission rate for the group that did not receive any intervention. There was a 36% reduction in the fluid related hospital admission rate between the baseline and follow-up months for the group that received intervention and there was a 32% reduction in the fluid related hospital admission for the group that did not receive any intervention. Conclusion There is a larger magnitude reduction in fluid related hospital admissions and all cause hospital admissions between the baseline and follow-up months for the high-risk group as identified by the ML model that received intervention from the nurses compared to those that did not receive any intervention. Further studies are necessary to prove this association.

#1171 Effect of methoxy polyethylene glycol-epoetin beta on delaying dialysis in anemic patients with Stage 4-5 chronic kidney disease

Abstract Background and Aims The optimal hemoglobin (Hb) target for treating anemia in pre-dialysis chronic kidney disease (CKD) remains controversial. This study investigates the efficacy and safety of methoxy polyethylene glycol-epoetin beta, in delaying the initiation of kidney replacement therapy (KRT), all-cause mortality, CKD progression, and quality of life in stage 4-5 CKD patients. It compares outcomes between patients targeting an Hb level of 10.5-11.5 g/dL versus 8.5-9.5 g/dL. Method This was a single-center, open-label, parallel-group randomized controlled trial. Patients with estimated glomerular filtration rates (eGFR) of 8-15 ml/min/1.73 m2, who had not yet started dialysis, were randomized into two groups based on different Hb targets (Group A: 10.5-11.5 g/dL, Group B: 8.5-9.5 g/dL). Methoxy polyethylene glycol-epoetin beta (MIRCERA®) was prescribed by a pre-specified protocol to achieve these Hb targets. Iron supplements were administered to maintain transferrin saturation &amp;gt;20% or serum ferritin &amp;gt;200 ng/ml. Primary outcomes included a composite of all-cause death and KRT initiation, with secondary outcomes encompassing eGFR slope, hospitalization incidence, blood transfusion necessity, and quality of life measured by the 36-Item Short Form Health Survey (SF-36). Results A total of 62 participants were randomized. The mean age was 64.0 years (SD ±16.0), with 51.6% being female. The mean estimated Glomerular Filtration Rate (eGFR) at enrollment was 12.1 ml/min/1.73 m2 (SD ±3.1). Group A had a significantly higher time-averaged Hemoglobin (Hb) level (10.5 g/dL, SD ±1.2) compared to 8.5 g/dL (SD ±0.9) in the control group (p &amp;lt; 0.001). There was no significant difference in the composite endpoint of all-cause death and Kidney Replacement Therapy (KRT) initiation between the two groups (Hazard Ratio [HR] 0.69; 95% Confidence Interval [CI] 0.32-1.50; p = 0.35, as shown in the Figure). The eGFR slope was similar in both groups (−2.54 vs. −2.53 ml/min/1.73 m2 per year, p = 0.9). Time-averaged ferritin, transferrin saturation, blood pressure, and dietary sodium/protein intake showed no significant differences. Participants in the lower Hb target group required more blood transfusions (11 vs 1 unit, Incidence Rate Ratio [IRR] = 0.075, 95% CI 0.002-0.517, p = 0.001). Rates of hospital admissions, and changes in SF-36 quality of life domains were comparable between the groups, as detailed in the Table. Conclusion The study indicates that using methoxy polyethylene glycol-epoetin beta to maintain a higher Hb target in anemic patients with stage 4-5 CKD does not significantly alter the rate of all-cause mortality, the initiation of KRT, and rate of eGFR decline compared to a lower Hb target. However, a higher Hb target may reduce the need for blood transfusions without adversely affecting the progression of CKD, hospitalization rates, or quality of life. These findings suggest that while higher Hb targets may not dramatically alter key clinical outcomes, they could offer benefits in reducing transfusion requirements, thus providing a more nuanced approach to managing anemia in late-stage CKD.

#1647 Clinical insights into incremental hemodialysis: a retrospective analysis of patient persistence and outcomes

Abstract Background and Aims Incremental haemodialysis has been proposed as an alternative to standard thrice-weekly haemodialysis for incident patients with significant residual kidney function. Definition is not unique, but it is mostly intended as twice weekly dialysis. Its diffusion is not known since there are no public registers in Europe, but it is adopted in some dialysis facilities, while in others is not, with geographical differences. In our centre incremental haemodialysis in adopted for some patients, based on the clinical judgement, without a strict protocol. We retrospectively analysed clinical outcomes of the incident patients of the last 36 months, to understand which patients may benefit more from this approach, how long it is viable and the clinical outcomes. Method Retrospective observational analysis of incident patients of the last 36 months, without serious rapidly evolving disease. Focus was on persistence in twice-weekly dialysis, nutritional parameters, residual kidney function, hospital admissions and economic considerations. 36 patients started haemodialysis with a 2-times per week schedule while 13 with full dose dialysis. At baseline, there were no significant differences on age, sex, serum albumin or vascular access. 5 patients in full dose group were anuric for bilateral nephrectomy or rapidly progressive kidney disease, while all patients in incremental group had significant residual kidney function (average creatinine clearance: 7.1 ml/min). Results During the follow up period, 19/36 patients’ weekly dialysis sessions were incremented to three after a median time of 280 days, and 17/36 were still on 2-dialysis with a median follow-up time of 228 days. The reason for transition to three dialysis per week was residual kidney function loss except for a case of pericarditis. Persistence in incremental dialysis was &amp;gt;80% at 6 months and 44% at 1 year (Fig. 1a). We observed a significantly reduced persistence in patients with low ultrafiltration at 2nd month of dialysis (&amp;lt;1.7% of weight per session – 1 kg for a 60 kg patient-) and a reduced persistence with pre-dialysis systolic blood pressure &amp;lt;150 mmHg at 2nd month (Fig. 1b-c). Persistence was not different in more frail patients (elderly, dialyzed with a central venous line or with lower baseline albumin). Serum albumin increase was higher in patients in incremental haemodialysis at 6 months, with a borderline statistically significant difference, and similar at 1 year (Fig. 2a-b). The average weight was stable in both groups (Fig. 2). Hospital admissions were lower in the incremental group, and number of days of hospitalization per 1000 patients’ days were lower (24 vs 41 days). Thanks to the incremental approach, about 1600 dialysis sessions were avoided for the patients included in the analysis, with significant reduction of economic impact for the public healthcare and the possibility to treat more patients. Data was insufficient to make conclusions on kidney function preservation. Conclusion Incremental approach is valid in our experience. These data give useful information on how long we can expect patients to persist in 2-weekly dialysis and on which patients might benefit more and longer of this approach. The patients with better volume control, which reflect in adequate blood pressure control and low ultrafiltration rate, show a significantly longer persistence in incremental dialysis. The approach is valid also for frail patients. We also found better albumin and lower hospital admission rates that could be related with a reduced health-care exposition and better overall patients’ well-being, with adequate uremic symptoms control. The reduction on the hospital admissions has been already observed, while the albumin better rise is a new finding and should be confirmed in a randomized or at least larger study. Waiting for the results of the on-going randomized clinical trials, incremental haemodialysis might be the new standard-of-care for a subset incident haemodialysis patients.

Hospital admission and mortality rates for ischemic heart disease in Thailand: 2012-2021.

To provide an update on the epidemiology of ischemic heart disease (IHD), including the age-standardized rates of hospital admission and mortality for IHD in Thailand from 2012 to 2021, using the Ministry of Public Health National database. The overall age-standardized hospital admission rate for IHD decreased from 427.5 per 100,000 people in 2012 to 390.5 per 100,000 in 2021. In men, the age-standardized hospital admission rate was 462.7 per 100,000 people in 2012, reaching 485.8 per 100,000 in 2021,pfor trend = 0.141. In women, the age-standardization hospital admission rate for IHD dropped by 24.1% over the decade (pfor trend = 0.008). The overall age-standardized IHD mortality rate in 2012 was 23.4 per 100,000 people, peaked at 28.6 per 100,000 in 2016, and reached 26.9 per 100,000 in 2021, p for trend = 0.181. In men, the age-standardized IHD mortality rate rose by 26.6% over a decade,pfor trend = 0.004. The age-standardized IHD mortality rate among women was consistent from 2012 to 2021,pfor trend = 0.130. However, for people aged < 60, rising trends in IHD mortality rates over a decade were observed; it rose by 59.6% in men and 36.1% in women.

Changes in Emergency Department Utilization in Vulnerable Populations After COVID-19 Shelter-in-Place Orders.

This study aims to compare emergency department (ED) utilization and admission rates for patients with a history of mental health (MH) disorders, substance use disorders (SUDs), and social determinants of health (SDOH) before and after implementing COVID-19shelter-in-place (SIP) orders. This was a retrospective, multicenter study leveraging electronic medical record (EMR) data from 20 EDs across a large Midwest integrated healthcare system from 5/2/2019 to 12/31/2019 (pre-SIP) and from 5/2/2020 to 12/31/2020 (post-SIP). Diagnoses were documented in the patient's medical records. Poisson and logistic regression models were used to evaluate ED utilization and admission rate changes. A total of 871,020 ED encounters from 487,028 unique patients were captured. Overall, 2,572 (0.53%) patients had a documented Z code for SDOH. Patients with previously diagnosed MH disorders or SUDs were more likely to seek ED care after the SIP orders were implemented (risk ratio (RR): 1.20, 95% confidence interval (CI): 1.18-1.22, p<0.001), as were patients with SDOH (RR: 2.37, 95% CI: 2.19-2.55, p<0.001). Patients with both previously diagnosed MHdisorders or SUDs and a documented SDOH had even higher ED utilization (RR: 3.31, 95% CI: 2.83-3.88, p<0.001) than those with either condition alone. Patients with MHdisorders and SUDs (OR: 0.89, 95% CI: 0.86-0.92, p<0.001) or SDOH (OR: 0.67, 95% CI: 0.54-0.83, p<0.001) were less likely to be admitted post-SIP orders, while patients with a history of diseases of physiologic systems were more likely to be admitted. Vulnerable populations with a history of MH disorders,SUDs, and SDOH experienced increased ED utilization but a lower rate of hospital admissions after the implementation of SIP orders. The findings highlight the importance of addressing these needs to mitigate the impact of public health crises on these populations.

Metformin use associated with lower rate of hospitalization for influenza in individuals with diabetes.

To investigate if patients with diabetes taking metformin have better outcomes versus those not taking metformin following an emergency room visit for influenza. Using electronic medical records, we performed a retrospective chart review of all adult patients with a diagnosis of diabetes seen in any Duke University Medical Center-affiliated emergency department for influenza over a 6-year period. We documented patient characteristics and comorbidities, and compared outcomes for patients taking metformin versus patients not taking metformin using both univariable and multivariable analyses. Our primary outcome was hospital admission rate. Secondary outcomes were in-hospital length of stay and in-hospital death. Our cohort included 1023 adult patients with diabetes, of whom 59.9% were female. The mean age was 62.9 years, 58.4% were African American, 36.1% were White, and 81.9% were obese or overweight. Of these patients, 347 (34%) were taking metformin. Patients with diabetes taking metformin were less likely to be hospitalized following an emergency department visit for influenza than patients with diabetes not taking metformin (56.8% vs. 70.1%; p < 0.001). Of those patients admitted, there was no statistically significant difference in length of stay or death. In patients with diabetes, metformin use is associated with lower rate of hospitalization following an emergency department visit for influenza.

Impact of the COVID-19 pandemic on hospital admission rates for arterial hypertension and coronary heart disease: a German database study.

During the SARS-CoV-2 pandemic it was speculated that the virus might be associated with a persistent increase of cardiovascular risk. The present study compares pre- and post-pandemic hospital admission rates for hypertension and coronary artery disease. Systematic multicentric retrospective cohort analysis of 57.795 hospital admissions in an urban region in Germany during two different periods (pre-pandemic 01-06/2019 vs. post-pandemic era 01-06/2023). Information on hospital admissions for arterial hypertension, chronic coronary syndrome, unstable angina pectoris and acute myocardial infarction were extracted from the hospitals data systems. Additionally, six comorbidities and performed coronary interventions were monitored. Compared to the pre-pandemic era, there was no increase in hospitalizations for arterial hypertension (516 vs. 483, -6.8%, p = 0.07) or myocardial infarction (487 vs. 349, -23.8%, p < 0.001), but the total number of patient admissions with chest pain as the presenting symptom increased (chronic coronary syndrome: 759 vs. 943, +24.2%, p < 0.001; unstable angina pectoris: 270 vs. 451, +67.0%, p < 0.001). At the same time, the number of performed coronary angiographies increased, but less patients underwent percutaneous interventions. Patients admitted with chest pain in the post-pandemic era were in general healthier with less comorbidities. The present multicenter cohort study found no evidence for an increase in hospitalizations for arterial hypertension or coronary artery disease after the end of the pandemic. However, further studies with larger sample sizes are needed to confirm our results.

Comprehensive atrial fibrillation package of care to minimise unnecessary hospital admission and improve patient outcome: a quality improvement project

Abstract Funding Acknowledgements None. Introduction Recent studies have highlighted an increasing rate of hospitalisation among atrial fibrillation (AF) patients, despite a relatively low in-hospital mortality rate. This trend carries significant financial implications, with a twofold increase in AF-related expenditures, over 50% of which are associated with inpatient care. Purpose A Quality Improvement Project (QIP) was conducted to enhance AF care, reduce unnecessary admissions, and address the root causes driving increased hospitalisations. Methods The root cause analysis, illustrated in Figure 1, revealed four factors contributing to the increased hospital admission rate of newly diagnosed AF patients: systemic issues, the nature of the disease itself, patient and physician-related factors. The driver diagram (Figure 2) visually presented the primary and secondary drivers with corresponding interventions targeting potential areas for improvement. Plan, Do, Study, Act (PDSA) cycle was conducted using four-pronged approach: 1. Updating local guidelines and designing a stepwise algorithm to align with contemporary standards of care. 2. Establishing an ambulatory care/arrhythmia clinic referral pathway for follow-up of stable AF patients to ensure continuity of care, thus minimizing unnecessary admissions. 3. Implementing a safe discharge toolkit comprising patient education materials, a poster for stroke and bleeding risk assessment tools, and an anticoagulation checklist. 4. Incorporating AF management teaching sessions into the doctors’ induction curriculum to enhance their knowledge and confidence in managing newly diagnosed AF patients and ensuring safe discharges. Results Lack of an ambulatory care or arrhythmia clinic referral pathway, inadequate educational resources, insufficient clinician training were key factors contributing to unwarranted hospitalization of newly diagnosed AF patients. The comprehensive guideline revision process, requiring substantial resources and the support of stakeholders and a multidisciplinary team comprising cardiologists and emergency and acute medical physicians, facilitated the successful implementation of the new AF referral pathway. This QIP resulted in a 16% reduction in avoidable admissions, 24% increase in clinician confidence, and 18% improvement in adherence to stroke and bleeding risk assessment protocols, in addition to reducing the hospital stay duration. Conclusions The collaboration among diverse medical disciplines, evidence-based guideline revision, and the implementation of a streamlined AF referral pathway demonstrated the potential to reduce healthcare resource utilization and financial burdens. This approach aligns with national standards, enhances healthcare providers' knowledge and confidence, ensuring standardised clinical practices. It underscores its potential for implementation of similar pathways to improve patient care. Continuous evaluation to evolving guidelines are recommended for sustainability.Figure 1.Ishikawa fishbone diagramFigure 2.Driver diagram for AF care

Comparison of safety and efficacy between Nirmatrelvir-ritonavir and molnupiravir in the treatment of COVID-19 infection in patients with advanced kidney disease: a retrospective observational study

Nirmatrelvir-ritonavir is used in patients with coronavirus disease 2019 (COVID-19) with normal or mild renal impairment (eGFR ≥30ml/min per 1.73m2). There is limited data regarding its use in advanced kidney disease (eGFR <30ml/min per 1.73m2). We performed a retrospective territory-wide observational study evaluating the safety and efficacy of nirmatrelvir-ritonavir when compared with molnupiravir in the treatment of patients with COVID-19 with advanced kidney disease. We adopted target trial emulation using data from a territory-wide electronic health record database on eligible patients aged ≥18 years with advanced kidney disease (history of eGFR <30ml/min per 1.73m2) who were infected with COVID-19 and were prescribed with either molnupiravir or nirmatrelvir-ritonavir within five days of infection during the period from 16 March 2022 to 31 December 2022. A sequence trial approach and 1:4 propensity score matching was applied based on the baseline covariates including age, sex, number of COVID-19 vaccine doses received, Charlson comorbidity index (CCI), hospitalisation, eGFR, renal replacement therapy, comorbidities (cancer, respiratory disease, myocardial infarction, ischaemic stroke, diabetes, hypertension), and drug use (renin-angiotensin-system agents, beta blockers, calcium channel blockers, diuretics, nitrates, lipid lowering agents, insulins, oral antidiabetic drugs, antiplatelets, immuno-suppressants, corticosteroids, proton pump inhibitors, histamine H2 receptor antagonists, monoclonal antibody infusion) within past 90 days. Individuals were followed up from the index date until the earliest outcome occurrence, death, 90 days from index date or the end of data availability. Stratified Cox proportional hazards regression adjusted with baseline covariates was used to compare the risk of outcomes between nirmatrelvir-ritonavir recipients and molnupiravir recipients which include (i) all-cause mortality, (ii) intensive care unit (ICU) admission, (iii) ventilatory support, (iv) hospitalisation, (v) hepatic impairment, (vi) ischaemic stroke, and (vii) myocardial infarction. Subgroup analyses included age (<70; ≥70 years); sex, Charlson comorbidity index (≤5; >5), and number of COVID-19 vaccine doses received (0-1; ≥2 doses). A total of 4886 patients were included (nirmatrelvir-ritonavir: 1462; molnupiravir: 3424). There were 347 events of all-cause mortality (nirmatrelvir-ritonavir: 74, 5.06%; molnupiravir: 273, 7.97%), 10 events of ICU admission (nirmatrelvir-ritonavir: 4, 0.27%; molnupiravir: 6, 0.18%), 48 events of ventilatory support (nirmatrelvir-ritonavir: 13, 0.89%; molnupiravir: 35, 1.02%), 836 events of hospitalisation (nirmatrelvir-ritonavir: 218, 23.98%; molnupiravir: 618, 28.14%), 1 event of hepatic impairment (nirmatrelvir-ritonavir: 0, 0%; molnupiravir: 1, 0.03%), 8 events of ischaemic stroke (nirmatrelvir-ritonavir: 3, 0.22%; molnupiravir: 5, 0.16%) and 9 events of myocardial infarction (nirmatrelvir-ritonavir: 2, 0.15%; molnupiravir: 7, 0.22%). Nirmatrelvir-ritonavir users had lower rates of all-cause mortality (absolute risk reduction (ARR) at 90 days 2.91%, 95% CI: 1.47-4.36%) and hospitalisation (ARR at 90 days 4.16%, 95% CI: 0.81-7.51%) as compared with molnupiravir users. Similar rates of ICU admission (ARR at 90 days-0.09%, 95% CI:-0.4 to 0.2%), ventilatory support (ARR at 90 days 0.13%, 95% CI:-0.45 to 0.72%), hepatic impairment (ARR at 90 days 0.03%, 95% CI:-0.03 to 0.09%), ischaemic stroke (ARR at 90 days-0.06%, 95% CI:-0.35 to 0.22%), and myocardial infarction (ARR at 90 days 0.07%, 95% CI:-0.19 to 0.33%) were found between nirmatrelvir-ritonavir and molnupiravir users. Consistent results were observed in relative risk adjusted with baseline characteristics. Nirmatrelvir-ritonavir was associated with significantly reduced risk of all-cause mortality (HR: 0.624, 95% CI: 0.455-0.857) and hospitalisation (HR: 0.782, 95% CI: 0.64-0.954). Patients with COVID-19 with advanced kidney disease receiving nirmatrelvir-ritonavir had a lower rate of all-cause mortality and hospital admission when compared with molnupiravir. Other adverse clinical outcomes were similar in both treatment groups. Health and Medical Research Fund (COVID1903010), Health Bureau, The Government of the Hong Kong Special Administrative Region, China.

Clostridioides difficile infection, recurrence and the associated healthcare consumption in Sweden between 2006 and 2019: a population-based cohort study

BackgroundClostridioides difficile infection (CDI) causes a major burden to individuals and society, yet the impact may vary depending on age, sex, underlying comorbidities and where CDI was acquired (hospital or community).MethodsThis Swedish nationwide population-based cohort study (2006–2019) compared all 43,150 individuals with CDI to their 355,172 matched controls (first year and entire follow-up). Negative binomial regression models compared the cumulated length of stay, number of in-hospital admissions, outpatient visits and prescriptions after the first CDI episode expressed as incidence rate ratios (IRR) and 95% confidence intervals for the entire follow-up.ResultsOverall, 91.6% of CDI cases were hospital acquired, and 16.8% presented with recurrence(s); 74.8%of cases were ≥ 65 years and 54.2% were women. Compared to individuals without CDI, in-hospital stay rates were 18.01 times higher after CDI (95% CI 17.40–18.63, first-year: 27.4 versus 1.6 days), 9.45 times higher in-hospital admission (95% CI 9.16–9.76, first-year: 2.6 versus 1.3 hospitalisations), 3.94 times higher outpatient visit (95% CI 3.84–4.05, first-year: 4.0 versus 1.9 visits) and 3.39 times higher dispensed prescriptions rates (95% CI 3.31–3.48, first-year: 25.5 versus 13.7 prescriptions). For all outcomes, relative risks were higher among the younger (< 65 years) than the older (≥ 65 years), and in those with fewer comorbidities, but similar between sexes. Compared to those without recurrence, individuals with recurrence particularly showed a higher rate of hospital admissions (IRR = 1.18, 95% 1.12–1.24). Compared to community-acquired CDI, those with hospital-acquired CDI presented with a higher rate of hospital admissions (IRR = 7.29, 95% CI 6.68–7.96) and a longer length of stay (IRR = 7.64, 95% CI 7.07–8.26).ConclusionCDI was associated with increased health consumption in all affected patient groups. The majority of the CDI burden could be contributed to hospital-acquired CDI (~ 9/10), older patients (~ 3/4) and those with multiple comorbidities (~ 6/10 Charlson score ≥ 3), with 1/5 of the total CDI burden contributed to individuals with recurrence. Yet, relatively speaking the burden was higher among the younger and those with fewer comorbidities, compared to their peers without CDI.